2025-11-03T16:11:50.2607848Z Current runner version: '2.329.0'
2025-11-03T16:11:50.2612099Z Runner name: 'i-009a292503ca4fba2'
2025-11-03T16:11:50.2612681Z Runner group name: 'default'
2025-11-03T16:11:50.2613329Z Machine name: 'ip-10-0-69-124'
2025-11-03T16:11:50.2615446Z ##[group]GITHUB_TOKEN Permissions
2025-11-03T16:11:50.2617135Z Contents: read
2025-11-03T16:11:50.2617602Z Metadata: read
2025-11-03T16:11:50.2618031Z ##[endgroup]
2025-11-03T16:11:50.2619600Z Secret source: Actions
2025-11-03T16:11:50.2620216Z Prepare workflow directory
2025-11-03T16:11:50.2979796Z Prepare all required actions
2025-11-03T16:11:50.3009989Z Getting action download info
2025-11-03T16:11:50.6211147Z Download action repository 'pytorch/test-infra@main' (SHA:dd72a20e27a9820d8aba7291a7d9c1e023f652e1)
2025-11-03T16:11:52.6773329Z Download action repository 'pytorch/pytorch@main' (SHA:94f2657c4b534136aa8958bc35d44ceac5ccd60c)
2025-11-03T16:12:05.8419517Z Download action repository 'actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065' (SHA:a26af69be951a213d495a4c3e4e4022e16d87065)
2025-11-03T16:12:06.0765019Z Download action repository 'aws-actions/configure-aws-credentials@ececac1a45f3b08a01d2dd070d28d111c5fe6722' (SHA:ececac1a45f3b08a01d2dd070d28d111c5fe6722)
2025-11-03T16:12:06.3461820Z Download action repository 'aws-actions/amazon-ecr-login@062b18b96a7aff071d4dc91bc00c4c1a7945b076' (SHA:062b18b96a7aff071d4dc91bc00c4c1a7945b076)
2025-11-03T16:12:06.5362462Z Download action repository 'seemethere/download-artifact-s3@1da556a7aa0a088e3153970611f6c432d58e80e6' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6)
2025-11-03T16:12:06.9118036Z Download action repository 'seemethere/upload-artifact-s3@baba72d0712b404f646cebe0730933554ebce96a' (SHA:baba72d0712b404f646cebe0730933554ebce96a)
2025-11-03T16:12:07.1384552Z Getting action download info
2025-11-03T16:12:07.3034262Z Download action repository 'actions/checkout@v4' (SHA:08eba0b27e820071cde6df949e0beb9ba4906955)
2025-11-03T16:12:07.5318706Z Getting action download info
2025-11-03T16:12:07.6634853Z Download action repository 'nick-fields/retry@v3.0.0' (SHA:7152eba30c6575329ac0576536151aca5a72780e)
2025-11-03T16:12:07.8530186Z Getting action download info
2025-11-03T16:12:07.9813640Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482)
2025-11-03T16:12:08.1826878Z Getting action download info
2025-11-03T16:12:08.3261286Z Uses: pytorch/pytorch/.github/workflows/_linux-test.yml@refs/heads/main (3f6538febd727b782e6e13cfd026a309fb14351d)
2025-11-03T16:12:08.3264323Z ##[group] Inputs
2025-11-03T16:12:08.3264693Z   build-environment: linux-jammy-py3.10-gcc11-build
2025-11-03T16:12:08.3266321Z   test-matrix: {"include": [{"config": "cpu_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "inductor_torchbench_cpu_smoketest_perf", "shard": 1, "num_shards": 1, "runner": "linux.24xl.spr-metal"}]}
2025-11-03T16:12:08.3268269Z   docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-30147fb242f88ab8f13e14b76ab186d189d8605c
2025-11-03T16:12:08.3268849Z   sync-tag: 
2025-11-03T16:12:08.3269444Z   timeout-minutes: 240
2025-11-03T16:12:08.3269714Z   use-gha: 
2025-11-03T16:12:08.3269941Z   dashboard-tag: 
2025-11-03T16:12:08.3270163Z   s3-bucket: gha-artifacts
2025-11-03T16:12:08.3270653Z   aws-role-to-assume: 
2025-11-03T16:12:08.3271160Z   disable-monitor: false
2025-11-03T16:12:08.3271415Z   monitor-log-interval: 5
2025-11-03T16:12:08.3271711Z   monitor-data-collect-interval: 1
2025-11-03T16:12:08.3271953Z ##[endgroup]
2025-11-03T16:12:08.3272331Z Complete job name: inductor-cpu-test / test (inductor_torchbench_cpu_smoketest_perf, 1, 1, linux.24xl.spr-metal)
2025-11-03T16:12:08.3968838Z A job started hook has been configured by the self-hosted runner administrator
2025-11-03T16:12:08.4036741Z ##[group]Run '/home/ec2-user/runner-scripts/before_job.sh'
2025-11-03T16:12:08.4042858Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:12:08.4043251Z ##[endgroup]
2025-11-03T16:12:09.2872427Z Runner Type: linux.24xl.spr-metal
2025-11-03T16:12:09.2872740Z Instance Type: c7i.metal-24xl
2025-11-03T16:12:09.2902663Z AMI Name: unknown
2025-11-03T16:12:09.2902852Z AMI ID: ami-08982f1c5bf93d976
2025-11-03T16:12:12.8540458Z ##[group]Run pytorch/test-infra/.github/actions/setup-ssh@main
2025-11-03T16:12:12.8540772Z with:
2025-11-03T16:12:12.8541332Z   github-secret: ***
2025-11-03T16:12:12.8541768Z   instructions: All testing is done inside the container, to start an interactive session run:
  docker exec -it $(docker container ps --format '{{.ID}}') bash

2025-11-03T16:12:12.8542213Z   activate-with-label: false
2025-11-03T16:12:12.8542396Z   label: with-ssh
2025-11-03T16:12:12.8542569Z   remove-existing-keys: true
2025-11-03T16:12:12.8542752Z   fail-silently: true
2025-11-03T16:12:12.8542915Z env:
2025-11-03T16:12:12.8543060Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:12:12.8543285Z ##[endgroup]
2025-11-03T16:12:12.9602806Z Please see https://github.com/pytorch/pytorch/wiki/Debugging-using-with-ssh-for-Github-Actions for more info.
2025-11-03T16:12:12.9603449Z Not on pull request and ciflow reference could not be extracted, skipping adding ssh keys
2025-11-03T16:12:12.9706519Z ##[group]Run pytorch/pytorch/.github/actions/checkout-pytorch@main
2025-11-03T16:12:12.9706786Z with:
2025-11-03T16:12:12.9706942Z   no-sudo: true
2025-11-03T16:12:12.9707124Z   submodules: recursive
2025-11-03T16:12:12.9707322Z   fetch-depth: 0
2025-11-03T16:12:12.9707470Z env:
2025-11-03T16:12:12.9707630Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:12:12.9707806Z ##[endgroup]
2025-11-03T16:12:12.9771534Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-11-03T16:12:12.9772091Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-11-03T16:12:12.9778601Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:12:12.9778843Z env:
2025-11-03T16:12:12.9779018Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:12:12.9779231Z ##[endgroup]
2025-11-03T16:12:12.9849322Z ##[group]Run # Use all available CPUs for fetching
2025-11-03T16:12:12.9849616Z # Use all available CPUs for fetching
2025-11-03T16:12:12.9849835Z cd "${GITHUB_WORKSPACE}"
2025-11-03T16:12:12.9850054Z git config --global fetch.parallel 0
2025-11-03T16:12:12.9850296Z git config --global submodule.fetchJobs 0
2025-11-03T16:12:12.9850508Z 
2025-11-03T16:12:12.9850818Z # Clean workspace. The default checkout action should also do this, but
2025-11-03T16:12:12.9851127Z # do it here as well just in case
2025-11-03T16:12:12.9851327Z if [[ -d .git ]]; then
2025-11-03T16:12:12.9851520Z   if [ -z "${NO_SUDO}" ]; then
2025-11-03T16:12:12.9851722Z     sudo git clean -ffdx
2025-11-03T16:12:12.9851908Z   else
2025-11-03T16:12:12.9852066Z     git clean -ffdx
2025-11-03T16:12:12.9852238Z   fi
2025-11-03T16:12:12.9852385Z fi
2025-11-03T16:12:12.9856532Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:12:12.9856767Z env:
2025-11-03T16:12:12.9856924Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:12:12.9857102Z   NO_SUDO: true
2025-11-03T16:12:12.9857299Z ##[endgroup]
2025-11-03T16:12:12.9944933Z ##[group]Run actions/checkout@v4
2025-11-03T16:12:12.9945157Z with:
2025-11-03T16:12:12.9945337Z   ref: 3f6538febd727b782e6e13cfd026a309fb14351d
2025-11-03T16:12:12.9945544Z   fetch-depth: 0
2025-11-03T16:12:12.9945709Z   submodules: recursive
2025-11-03T16:12:12.9945886Z   show-progress: false
2025-11-03T16:12:12.9946067Z   repository: pytorch/pytorch
2025-11-03T16:12:12.9946345Z   token: ***
2025-11-03T16:12:12.9946496Z   ssh-strict: true
2025-11-03T16:12:12.9946647Z   ssh-user: git
2025-11-03T16:12:12.9946805Z   persist-credentials: true
2025-11-03T16:12:12.9946973Z   clean: true
2025-11-03T16:12:12.9947139Z   sparse-checkout-cone-mode: true
2025-11-03T16:12:12.9947330Z   fetch-tags: false
2025-11-03T16:12:12.9947485Z   lfs: false
2025-11-03T16:12:12.9947632Z   set-safe-directory: true
2025-11-03T16:12:12.9947814Z env:
2025-11-03T16:12:12.9947965Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:12:12.9948134Z ##[endgroup]
2025-11-03T16:12:13.0745352Z Syncing repository: pytorch/pytorch
2025-11-03T16:12:13.0746364Z ##[group]Getting Git version info
2025-11-03T16:12:13.0746683Z Working directory is '/home/ec2-user/actions-runner/_work/pytorch/pytorch'
2025-11-03T16:12:13.0747114Z [command]/usr/bin/git version
2025-11-03T16:12:13.0930994Z git version 2.50.1
2025-11-03T16:12:13.0944977Z ##[endgroup]
2025-11-03T16:12:13.0953348Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/bff6a5aa-7308-4bdd-a441-5e63b0ac88d8/.gitconfig'
2025-11-03T16:12:13.0969276Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/bff6a5aa-7308-4bdd-a441-5e63b0ac88d8' before making global git config changes
2025-11-03T16:12:13.0969861Z Adding repository directory to the temporary git global config as a safe directory
2025-11-03T16:12:13.0973818Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-11-03T16:12:13.1012312Z Deleting the contents of '/home/ec2-user/actions-runner/_work/pytorch/pytorch'
2025-11-03T16:12:13.1014511Z ##[group]Initializing the repository
2025-11-03T16:12:13.1017608Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-11-03T16:12:13.1069339Z hint: Using 'master' as the name for the initial branch. This default branch name
2025-11-03T16:12:13.1069694Z hint: is subject to change. To configure the initial branch name to use in all
2025-11-03T16:12:13.1070062Z hint: of your new repositories, which will suppress this warning, call:
2025-11-03T16:12:13.1070327Z hint:
2025-11-03T16:12:13.1070547Z hint: 	git config --global init.defaultBranch <name>
2025-11-03T16:12:13.1070781Z hint:
2025-11-03T16:12:13.1071004Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and
2025-11-03T16:12:13.1071360Z hint: 'development'. The just-created branch can be renamed via this command:
2025-11-03T16:12:13.1071634Z hint:
2025-11-03T16:12:13.1071798Z hint: 	git branch -m <name>
2025-11-03T16:12:13.1071975Z hint:
2025-11-03T16:12:13.1072219Z hint: Disable this message with "git config set advice.defaultBranchName false"
2025-11-03T16:12:13.1077705Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/
2025-11-03T16:12:13.1084120Z [command]/usr/bin/git remote add origin https://github.com/pytorch/pytorch
2025-11-03T16:12:13.1114514Z ##[endgroup]
2025-11-03T16:12:13.1114830Z ##[group]Disabling automatic garbage collection
2025-11-03T16:12:13.1117494Z [command]/usr/bin/git config --local gc.auto 0
2025-11-03T16:12:13.1138709Z ##[endgroup]
2025-11-03T16:12:13.1138983Z ##[group]Setting up auth
2025-11-03T16:12:13.1143691Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
2025-11-03T16:12:13.1165122Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'core\.sshCommand' && git config --local --unset-all 'core.sshCommand' || :"
2025-11-03T16:12:13.1453728Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
2025-11-03T16:12:13.1472926Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'http\.https\:\/\/github\.com\/\.extraheader' && git config --local --unset-all 'http.https://github.com/.extraheader' || :"
2025-11-03T16:12:13.1721528Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic ***
2025-11-03T16:12:13.1755683Z ##[endgroup]
2025-11-03T16:12:13.1756000Z ##[group]Fetching the repository
2025-11-03T16:12:13.1760988Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/*
2025-11-03T16:12:51.1718146Z From https://github.com/pytorch/pytorch
2025-11-03T16:12:51.1718564Z  * [new branch]              2.6.0.dev20241004+          -> origin/2.6.0.dev20241004+
2025-11-03T16:12:51.1718943Z  * [new branch]              AaronWang04_addmmfusion_perftest -> origin/AaronWang04_addmmfusion_perftest
2025-11-03T16:12:51.1719627Z  * [new branch]              DyVariaSourceRepr           -> origin/DyVariaSourceRepr
2025-11-03T16:12:51.1719960Z  * [new branch]              DynamoFixGit                -> origin/DynamoFixGit
2025-11-03T16:12:51.1720248Z  * [new branch]              DynamoVariaT                -> origin/DynamoVariaT
2025-11-03T16:12:51.1720605Z  * [new branch]              Flamefire-misplaced-TestFailure -> origin/Flamefire-misplaced-TestFailure
2025-11-03T16:12:51.1721072Z  * [new branch]              HDCharles-2.6.0-release-notes -> origin/HDCharles-2.6.0-release-notes
2025-11-03T16:12:51.1721430Z  * [new branch]              IvanKobzarev/stack/1        -> origin/IvanKobzarev/stack/1
2025-11-03T16:12:51.1721756Z  * [new branch]              IvanKobzarev/stack/2        -> origin/IvanKobzarev/stack/2
2025-11-03T16:12:51.1722365Z  * [new branch]              NicoshevSVE128              -> origin/NicoshevSVE128
2025-11-03T16:12:51.1722692Z  * [new branch]              PR-AOTInductorNoneBug       -> origin/PR-AOTInductorNoneBug
2025-11-03T16:12:51.1723052Z  * [new branch]              PR-AOTInductorNoneBugFix    -> origin/PR-AOTInductorNoneBugFix
2025-11-03T16:12:51.1723401Z  * [new branch]              PR-FixConfigsIssue          -> origin/PR-FixConfigsIssue
2025-11-03T16:12:51.1723727Z  * [new branch]              PR-NoneBugFix-viable        -> origin/PR-NoneBugFix-viable
2025-11-03T16:12:51.1724039Z  * [new branch]              PR-ResetToZero              -> origin/PR-ResetToZero
2025-11-03T16:12:51.1724362Z  * [new branch]              Update-Flash-Packaging      -> origin/Update-Flash-Packaging
2025-11-03T16:12:51.1724686Z  * [new branch]              VLA_exp                     -> origin/VLA_exp
2025-11-03T16:12:51.1724959Z  * [new branch]              VariaT                      -> origin/VariaT
2025-11-03T16:12:51.1725283Z  * [new branch]              add-pyrefly-to-lintrunner   -> origin/add-pyrefly-to-lintrunner
2025-11-03T16:12:51.1726060Z  * [new branch]              add_conv3d_ops              -> origin/add_conv3d_ops
2025-11-03T16:12:51.1726446Z  * [new branch]              add_op_to_dashboard         -> origin/add_op_to_dashboard
2025-11-03T16:12:51.1726882Z  * [new branch]              addmm-heuristic             -> origin/addmm-heuristic
2025-11-03T16:12:51.1727323Z  * [new branch]              addmm10000rtx               -> origin/addmm10000rtx
2025-11-03T16:12:51.1728295Z  * [new branch]              adi/onednn_aarch64          -> origin/adi/onednn_aarch64
2025-11-03T16:12:51.1728867Z  * [new branch]              adi/test                    -> origin/adi/test
2025-11-03T16:12:51.1729755Z  * [new branch]              adi/test_bgemm              -> origin/adi/test_bgemm
2025-11-03T16:12:51.1730357Z  * [new branch]              adi/test_fusions            -> origin/adi/test_fusions
2025-11-03T16:12:51.1730831Z  * [new branch]              adi/test_onednn             -> origin/adi/test_onednn
2025-11-03T16:12:51.1731816Z  * [new branch]              adi/test_onednn_v3.9        -> origin/adi/test_onednn_v3.9
2025-11-03T16:12:51.1732266Z  * [new branch]              adi/test_presve_change      -> origin/adi/test_presve_change
2025-11-03T16:12:51.1732973Z  * [new branch]              adi/test_timm               -> origin/adi/test_timm
2025-11-03T16:12:51.1733347Z  * [new branch]              adi/testpresve_change       -> origin/adi/testpresve_change
2025-11-03T16:12:51.1734550Z  * [new branch]              aditew01/test/vec_bf16      -> origin/aditew01/test/vec_bf16
2025-11-03T16:12:51.1735052Z  * [new branch]              ah-globalfeedback-hook      -> origin/ah-globalfeedback-hook
2025-11-03T16:12:51.1735633Z  * [new branch]              alt-disable                 -> origin/alt-disable
2025-11-03T16:12:51.1736651Z  * [new branch]              angelayi/allow_fake         -> origin/angelayi/allow_fake
2025-11-03T16:12:51.1737180Z  * [new branch]              angelayi/aoti_additional_files -> origin/angelayi/aoti_additional_files
2025-11-03T16:12:51.1737787Z  * [new branch]              angelayi/benchmark          -> origin/angelayi/benchmark
2025-11-03T16:12:51.1738374Z  * [new branch]              angelayi/change_pytree_serialization -> origin/angelayi/change_pytree_serialization
2025-11-03T16:12:51.1739214Z  * [new branch]              angelayi/const_folder       -> origin/angelayi/const_folder
2025-11-03T16:12:51.1739677Z  * [new branch]              angelayi/cpp_loader         -> origin/angelayi/cpp_loader
2025-11-03T16:12:51.1740280Z  * [new branch]              angelayi/joint_kwargs       -> origin/angelayi/joint_kwargs
2025-11-03T16:12:51.1741139Z  * [new branch]              angelayi/no_so_weight       -> origin/angelayi/no_so_weight
2025-11-03T16:12:51.1741946Z  * [new branch]              angelayi/opaque_obj_v2      -> origin/angelayi/opaque_obj_v2
2025-11-03T16:12:51.1742573Z  * [new branch]              angelayi/post_grad          -> origin/angelayi/post_grad
2025-11-03T16:12:51.1743038Z  * [new branch]              angelayi/pytree             -> origin/angelayi/pytree
2025-11-03T16:12:51.1743590Z  * [new branch]              angelayi/scan_layers        -> origin/angelayi/scan_layers
2025-11-03T16:12:51.1744181Z  * [new branch]              angelayi/state_dict         -> origin/angelayi/state_dict
2025-11-03T16:12:51.1745532Z  * [new branch]              angelayi/static_input_indices -> origin/angelayi/static_input_indices
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2025-11-03T16:12:51.4990768Z  * [new branch]              yiming/precompile_benchmark -> origin/yiming/precompile_benchmark
2025-11-03T16:12:51.4991492Z  * [new branch]              yiming/remove_blockmask_pytree_global_registration -> origin/yiming/remove_blockmask_pytree_global_registration
2025-11-03T16:12:51.4991912Z  * [new branch]              yolo-llama3                 -> origin/yolo-llama3
2025-11-03T16:12:51.4992898Z  * [new branch]              yuxin/fix-save-memleak      -> origin/yuxin/fix-save-memleak
2025-11-03T16:12:51.4993648Z  * [new branch]              zainr/canary-test           -> origin/zainr/canary-test
2025-11-03T16:12:51.4994381Z  * [new branch]              zainr/cleanup-gh-runners    -> origin/zainr/cleanup-gh-runners
2025-11-03T16:12:51.4994765Z  * [new branch]              zainr/pull-migration-c      -> origin/zainr/pull-migration-c
2025-11-03T16:12:51.4995321Z  * [new branch]              zainr/test2                 -> origin/zainr/test2
2025-11-03T16:12:51.4995775Z  * [new branch]              zainr/unstable              -> origin/zainr/unstable
2025-11-03T16:12:51.4996628Z  * [new branch]              zasdfgbnm-patch-3           -> origin/zasdfgbnm-patch-3
2025-11-03T16:12:51.4997222Z  * [new branch]              zb2p                        -> origin/zb2p
2025-11-03T16:12:51.4997842Z  * [new branch]              zeros-and-scatter-part2     -> origin/zeros-and-scatter-part2
2025-11-03T16:12:51.4998707Z  * [new branch]              zhxchen17/aot_compile_fix_load_guard_manager -> origin/zhxchen17/aot_compile_fix_load_guard_manager
2025-11-03T16:12:51.4999416Z  * [new branch]              zhxchen17/ci/vllm_pin       -> origin/zhxchen17/ci/vllm_pin
2025-11-03T16:12:51.5000310Z  * [new branch]              zhxchen17/precompile/closure_serde -> origin/zhxchen17/precompile/closure_serde
2025-11-03T16:12:51.5001154Z  * [new branch]              zhxchen17/precompile/default_args -> origin/zhxchen17/precompile/default_args
2025-11-03T16:12:51.5001816Z  * [new branch]              zhxchen17/precompile/export -> origin/zhxchen17/precompile/export
2025-11-03T16:12:51.5002305Z  * [new branch]              zhxchen17/precompile/export_gm -> origin/zhxchen17/precompile/export_gm
2025-11-03T16:12:51.5002953Z  * [new branch]              zhxchen17/precompile_vllm_fix_0 -> origin/zhxchen17/precompile_vllm_fix_0
2025-11-03T16:12:51.5003651Z  * [new branch]              zhxchen17/scratch/0         -> origin/zhxchen17/scratch/0
2025-11-03T16:12:51.5004478Z  * [new branch]              zhxhcen17/moodycamel        -> origin/zhxhcen17/moodycamel
2025-11-03T16:12:51.5005307Z  * [new branch]              zxiiro/build-times          -> origin/zxiiro/build-times
2025-11-03T16:12:51.5005940Z  * [new branch]              zxiiro/c7i-docs-build       -> origin/zxiiro/c7i-docs-build
2025-11-03T16:12:51.5006659Z  * [new branch]              zxiiro/c7i-linux-4xlarge    -> origin/zxiiro/c7i-linux-4xlarge
2025-11-03T16:12:51.5007277Z  * [new branch]              zxiiro/c7i-linux-build-yaml -> origin/zxiiro/c7i-linux-build-yaml
2025-11-03T16:12:51.5007716Z  * [new branch]              zxiiro/c7i-pull             -> origin/zxiiro/c7i-pull
2025-11-03T16:12:51.5008433Z  * [new branch]              zxiiro/main                 -> origin/zxiiro/main
2025-11-03T16:12:51.5009389Z  * [new branch]              zxiiro/test-multicloud-arc  -> origin/zxiiro/test-multicloud-arc
2025-11-03T16:12:51.5009936Z  * [new tag]                 bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug -> bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug
2025-11-03T16:12:51.5010372Z  * [new tag]                 ci/binaries/77164           -> ci/binaries/77164
2025-11-03T16:12:51.5010949Z  * [new tag]                 ciflow/b200/115316          -> ciflow/b200/115316
2025-11-03T16:12:51.5011267Z  * [new tag]                 ciflow/b200/157553          -> ciflow/b200/157553
2025-11-03T16:12:51.5011573Z  * [new tag]                 ciflow/b200/157635          -> ciflow/b200/157635
2025-11-03T16:12:51.5011937Z  * [new tag]                 ciflow/b200/160685          -> ciflow/b200/160685
2025-11-03T16:12:51.5012235Z  * [new tag]                 ciflow/b200/161404          -> ciflow/b200/161404
2025-11-03T16:12:51.5012611Z  * [new tag]                 ciflow/b200/163369          -> ciflow/b200/163369
2025-11-03T16:12:51.5013011Z  * [new tag]                 ciflow/b200/164657          -> ciflow/b200/164657
2025-11-03T16:12:51.5013425Z  * [new tag]                 ciflow/b200/164938          -> ciflow/b200/164938
2025-11-03T16:12:51.5013729Z  * [new tag]                 ciflow/b200/165132          -> ciflow/b200/165132
2025-11-03T16:12:51.5014262Z  * [new tag]                 ciflow/b200/165541          -> ciflow/b200/165541
2025-11-03T16:12:51.5014520Z  * [new tag]                 ciflow/b200/165548          -> ciflow/b200/165548
2025-11-03T16:12:51.5015103Z  * [new tag]                 ciflow/b200/165952          -> ciflow/b200/165952
2025-11-03T16:12:51.5015500Z  * [new tag]                 ciflow/b200/166250          -> ciflow/b200/166250
2025-11-03T16:12:51.5016026Z  * [new tag]                 ciflow/b200/166526          -> ciflow/b200/166526
2025-11-03T16:12:51.5016538Z  * [new tag]                 ciflow/b200/166744          -> ciflow/b200/166744
2025-11-03T16:12:51.5016847Z  * [new tag]                 ciflow/b200/166752          -> ciflow/b200/166752
2025-11-03T16:12:51.5017369Z  * [new tag]                 ciflow/b200/166834          -> ciflow/b200/166834
2025-11-03T16:12:51.5017761Z  * [new tag]                 ciflow/binaries/157432      -> ciflow/binaries/157432
2025-11-03T16:12:51.5018322Z  * [new tag]                 ciflow/binaries/158104      -> ciflow/binaries/158104
2025-11-03T16:12:51.5018705Z  * [new tag]                 ciflow/binaries/165922      -> ciflow/binaries/165922
2025-11-03T16:12:51.5019075Z  * [new tag]                 ciflow/binaries/166044      -> ciflow/binaries/166044
2025-11-03T16:12:51.5019472Z  * [new tag]                 ciflow/binaries/166621      -> ciflow/binaries/166621
2025-11-03T16:12:51.5019801Z  * [new tag]                 ciflow/binaries/166764      -> ciflow/binaries/166764
2025-11-03T16:12:51.5020398Z  * [new tag]                 ciflow/binaries/166818      -> ciflow/binaries/166818
2025-11-03T16:12:51.5020799Z  * [new tag]                 ciflow/binaries_libtorch/157432 -> ciflow/binaries_libtorch/157432
2025-11-03T16:12:51.5021456Z  * [new tag]                 ciflow/binaries_wheel/155731 -> ciflow/binaries_wheel/155731
2025-11-03T16:12:51.5022086Z  * [new tag]                 ciflow/binaries_wheel/157432 -> ciflow/binaries_wheel/157432
2025-11-03T16:12:51.5022417Z  * [new tag]                 ciflow/binaries_wheel/166380 -> ciflow/binaries_wheel/166380
2025-11-03T16:12:51.5022753Z  * [new tag]                 ciflow/binaries_wheel/166407 -> ciflow/binaries_wheel/166407
2025-11-03T16:12:51.5023157Z  * [new tag]                 ciflow/binaries_wheel/166829 -> ciflow/binaries_wheel/166829
2025-11-03T16:12:51.5023663Z  * [new tag]                 ciflow/h100-distributed/166367 -> ciflow/h100-distributed/166367
2025-11-03T16:12:51.5024096Z  * [new tag]                 ciflow/h100-symm-mem/151845 -> ciflow/h100-symm-mem/151845
2025-11-03T16:12:51.5024464Z  * [new tag]                 ciflow/h100-symm-mem/157635 -> ciflow/h100-symm-mem/157635
2025-11-03T16:12:51.5024763Z  * [new tag]                 ciflow/h100-symm-mem/163814 -> ciflow/h100-symm-mem/163814
2025-11-03T16:12:51.5025084Z  * [new tag]                 ciflow/h100-symm-mem/163815 -> ciflow/h100-symm-mem/163815
2025-11-03T16:12:51.5025420Z  * [new tag]                 ciflow/h100-symm-mem/165548 -> ciflow/h100-symm-mem/165548
2025-11-03T16:12:51.5025805Z  * [new tag]                 ciflow/h100-symm-mem/166772 -> ciflow/h100-symm-mem/166772
2025-11-03T16:12:51.5026118Z  * [new tag]                 ciflow/h100-symm-mem/166773 -> ciflow/h100-symm-mem/166773
2025-11-03T16:12:51.5026447Z  * [new tag]                 ciflow/h100-symm-mem/166774 -> ciflow/h100-symm-mem/166774
2025-11-03T16:12:51.5026860Z  * [new tag]                 ciflow/h100/115316          -> ciflow/h100/115316
2025-11-03T16:12:51.5027187Z  * [new tag]                 ciflow/h100/157553          -> ciflow/h100/157553
2025-11-03T16:12:51.5027527Z  * [new tag]                 ciflow/h100/157635          -> ciflow/h100/157635
2025-11-03T16:12:51.5027896Z  * [new tag]                 ciflow/h100/160685          -> ciflow/h100/160685
2025-11-03T16:12:51.5028182Z  * [new tag]                 ciflow/h100/161404          -> ciflow/h100/161404
2025-11-03T16:12:51.5028517Z  * [new tag]                 ciflow/h100/163369          -> ciflow/h100/163369
2025-11-03T16:12:51.5028848Z  * [new tag]                 ciflow/h100/164657          -> ciflow/h100/164657
2025-11-03T16:12:51.5029251Z  * [new tag]                 ciflow/h100/165029          -> ciflow/h100/165029
2025-11-03T16:12:51.5029816Z  * [new tag]                 ciflow/h100/165132          -> ciflow/h100/165132
2025-11-03T16:12:51.5030013Z  * [new tag]                 ciflow/h100/165541          -> ciflow/h100/165541
2025-11-03T16:12:51.5030354Z  * [new tag]                 ciflow/h100/165548          -> ciflow/h100/165548
2025-11-03T16:12:51.5030981Z  * [new tag]                 ciflow/h100/165952          -> ciflow/h100/165952
2025-11-03T16:12:51.5031512Z  * [new tag]                 ciflow/h100/166250          -> ciflow/h100/166250
2025-11-03T16:12:51.5031925Z  * [new tag]                 ciflow/h100/166515          -> ciflow/h100/166515
2025-11-03T16:12:51.5032266Z  * [new tag]                 ciflow/h100/166526          -> ciflow/h100/166526
2025-11-03T16:12:51.5032629Z  * [new tag]                 ciflow/h100/166744          -> ciflow/h100/166744
2025-11-03T16:12:51.5032998Z  * [new tag]                 ciflow/h100/166752          -> ciflow/h100/166752
2025-11-03T16:12:51.5033353Z  * [new tag]                 ciflow/h100/166834          -> ciflow/h100/166834
2025-11-03T16:12:51.5033955Z  * [new tag]                 ciflow/inductor-perf-compare/165029 -> ciflow/inductor-perf-compare/165029
2025-11-03T16:12:51.5034702Z  * [new tag]                 ciflow/inductor-perf-test-nightly-rocm-mi300/162053 -> ciflow/inductor-perf-test-nightly-rocm-mi300/162053
2025-11-03T16:12:51.5035064Z  * [new tag]                 ciflow/inductor-perf-test-nightly-x86-zen/162954 -> ciflow/inductor-perf-test-nightly-x86-zen/162954
2025-11-03T16:12:51.5035402Z  * [new tag]                 ciflow/inductor-perf-test-nightly-x86-zen/164126 -> ciflow/inductor-perf-test-nightly-x86-zen/164126
2025-11-03T16:12:51.5036227Z  * [new tag]                 ciflow/inductor-perf-test-nightly/162053 -> ciflow/inductor-perf-test-nightly/162053
2025-11-03T16:12:51.5036459Z  * [new tag]                 ciflow/inductor-perf-test-nightly/165029 -> ciflow/inductor-perf-test-nightly/165029
2025-11-03T16:12:51.5036860Z  * [new tag]                 ciflow/inductor-periodic/165029 -> ciflow/inductor-periodic/165029
2025-11-03T16:12:51.5037522Z  * [new tag]                 ciflow/inductor-periodic/166743 -> ciflow/inductor-periodic/166743
2025-11-03T16:12:51.5037663Z  * [new tag]                 ciflow/inductor-rocm/151845 -> ciflow/inductor-rocm/151845
2025-11-03T16:12:51.5038025Z  * [new tag]                 ciflow/inductor-rocm/162053 -> ciflow/inductor-rocm/162053
2025-11-03T16:12:51.5038366Z  * [new tag]                 ciflow/inductor-rocm/166515 -> ciflow/inductor-rocm/166515
2025-11-03T16:12:51.5038723Z  * [new tag]                 ciflow/inductor-rocm/166743 -> ciflow/inductor-rocm/166743
2025-11-03T16:12:51.5039134Z  * [new tag]                 ciflow/inductor/137400      -> ciflow/inductor/137400
2025-11-03T16:12:51.5039450Z  * [new tag]                 ciflow/inductor/148180      -> ciflow/inductor/148180
2025-11-03T16:12:51.5039888Z  * [new tag]                 ciflow/inductor/148294      -> ciflow/inductor/148294
2025-11-03T16:12:51.5040232Z  * [new tag]                 ciflow/inductor/148328      -> ciflow/inductor/148328
2025-11-03T16:12:51.5040553Z  * [new tag]                 ciflow/inductor/148484      -> ciflow/inductor/148484
2025-11-03T16:12:51.5040865Z  * [new tag]                 ciflow/inductor/148492      -> ciflow/inductor/148492
2025-11-03T16:12:51.5041431Z  * [new tag]                 ciflow/inductor/151845      -> ciflow/inductor/151845
2025-11-03T16:12:51.5041793Z  * [new tag]                 ciflow/inductor/152624      -> ciflow/inductor/152624
2025-11-03T16:12:51.5042117Z  * [new tag]                 ciflow/inductor/157635      -> ciflow/inductor/157635
2025-11-03T16:12:51.5042450Z  * [new tag]                 ciflow/inductor/158104      -> ciflow/inductor/158104
2025-11-03T16:12:51.5042813Z  * [new tag]                 ciflow/inductor/159523      -> ciflow/inductor/159523
2025-11-03T16:12:51.5043357Z  * [new tag]                 ciflow/inductor/160174      -> ciflow/inductor/160174
2025-11-03T16:12:51.5043724Z  * [new tag]                 ciflow/inductor/160685      -> ciflow/inductor/160685
2025-11-03T16:12:51.5044153Z  * [new tag]                 ciflow/inductor/160686      -> ciflow/inductor/160686
2025-11-03T16:12:51.5044473Z  * [new tag]                 ciflow/inductor/160687      -> ciflow/inductor/160687
2025-11-03T16:12:51.5044880Z  * [new tag]                 ciflow/inductor/160688      -> ciflow/inductor/160688
2025-11-03T16:12:51.5045275Z  * [new tag]                 ciflow/inductor/160706      -> ciflow/inductor/160706
2025-11-03T16:12:51.5045651Z  * [new tag]                 ciflow/inductor/160729      -> ciflow/inductor/160729
2025-11-03T16:12:51.5046005Z  * [new tag]                 ciflow/inductor/161158      -> ciflow/inductor/161158
2025-11-03T16:12:51.5046550Z  * [new tag]                 ciflow/inductor/161246      -> ciflow/inductor/161246
2025-11-03T16:12:51.5046760Z  * [new tag]                 ciflow/inductor/161404      -> ciflow/inductor/161404
2025-11-03T16:12:51.5047161Z  * [new tag]                 ciflow/inductor/161495      -> ciflow/inductor/161495
2025-11-03T16:12:51.5047511Z  * [new tag]                 ciflow/inductor/161512      -> ciflow/inductor/161512
2025-11-03T16:12:51.5047856Z  * [new tag]                 ciflow/inductor/161938      -> ciflow/inductor/161938
2025-11-03T16:12:51.5048236Z  * [new tag]                 ciflow/inductor/161939      -> ciflow/inductor/161939
2025-11-03T16:12:51.5048603Z  * [new tag]                 ciflow/inductor/161940      -> ciflow/inductor/161940
2025-11-03T16:12:51.5048898Z  * [new tag]                 ciflow/inductor/162053      -> ciflow/inductor/162053
2025-11-03T16:12:51.5049254Z  * [new tag]                 ciflow/inductor/162469      -> ciflow/inductor/162469
2025-11-03T16:12:51.5049626Z  * [new tag]                 ciflow/inductor/162709      -> ciflow/inductor/162709
2025-11-03T16:12:51.5049975Z  * [new tag]                 ciflow/inductor/162795      -> ciflow/inductor/162795
2025-11-03T16:12:51.5050281Z  * [new tag]                 ciflow/inductor/162954      -> ciflow/inductor/162954
2025-11-03T16:12:51.5050721Z  * [new tag]                 ciflow/inductor/163249      -> ciflow/inductor/163249
2025-11-03T16:12:51.5051133Z  * [new tag]                 ciflow/inductor/163335      -> ciflow/inductor/163335
2025-11-03T16:12:51.5051429Z  * [new tag]                 ciflow/inductor/163369      -> ciflow/inductor/163369
2025-11-03T16:12:51.5051801Z  * [new tag]                 ciflow/inductor/163490      -> ciflow/inductor/163490
2025-11-03T16:12:51.5052544Z  * [new tag]                 ciflow/inductor/163503      -> ciflow/inductor/163503
2025-11-03T16:12:51.5052943Z  * [new tag]                 ciflow/inductor/163714      -> ciflow/inductor/163714
2025-11-03T16:12:51.5053317Z  * [new tag]                 ciflow/inductor/163936      -> ciflow/inductor/163936
2025-11-03T16:12:51.5053737Z  * [new tag]                 ciflow/inductor/164202      -> ciflow/inductor/164202
2025-11-03T16:12:51.5054077Z  * [new tag]                 ciflow/inductor/164384      -> ciflow/inductor/164384
2025-11-03T16:12:51.5054425Z  * [new tag]                 ciflow/inductor/164657      -> ciflow/inductor/164657
2025-11-03T16:12:51.5054801Z  * [new tag]                 ciflow/inductor/164938      -> ciflow/inductor/164938
2025-11-03T16:12:51.5055142Z  * [new tag]                 ciflow/inductor/164979      -> ciflow/inductor/164979
2025-11-03T16:12:51.5055548Z  * [new tag]                 ciflow/inductor/164980      -> ciflow/inductor/164980
2025-11-03T16:12:51.5055891Z  * [new tag]                 ciflow/inductor/165005      -> ciflow/inductor/165005
2025-11-03T16:12:51.5056210Z  * [new tag]                 ciflow/inductor/165029      -> ciflow/inductor/165029
2025-11-03T16:12:51.5056600Z  * [new tag]                 ciflow/inductor/165092      -> ciflow/inductor/165092
2025-11-03T16:12:51.5056908Z  * [new tag]                 ciflow/inductor/165132      -> ciflow/inductor/165132
2025-11-03T16:12:51.5057297Z  * [new tag]                 ciflow/inductor/165197      -> ciflow/inductor/165197
2025-11-03T16:12:51.5057664Z  * [new tag]                 ciflow/inductor/165274      -> ciflow/inductor/165274
2025-11-03T16:12:51.5057998Z  * [new tag]                 ciflow/inductor/165283      -> ciflow/inductor/165283
2025-11-03T16:12:51.5058301Z  * [new tag]                 ciflow/inductor/165284      -> ciflow/inductor/165284
2025-11-03T16:12:51.5058760Z  * [new tag]                 ciflow/inductor/165367      -> ciflow/inductor/165367
2025-11-03T16:12:51.5059307Z  * [new tag]                 ciflow/inductor/165423      -> ciflow/inductor/165423
2025-11-03T16:12:51.5059575Z  * [new tag]                 ciflow/inductor/165487      -> ciflow/inductor/165487
2025-11-03T16:12:51.5059938Z  * [new tag]                 ciflow/inductor/165541      -> ciflow/inductor/165541
2025-11-03T16:12:51.5060248Z  * [new tag]                 ciflow/inductor/165597      -> ciflow/inductor/165597
2025-11-03T16:12:51.5060788Z  * [new tag]                 ciflow/inductor/165686      -> ciflow/inductor/165686
2025-11-03T16:12:51.5061185Z  * [new tag]                 ciflow/inductor/165790      -> ciflow/inductor/165790
2025-11-03T16:12:51.5061544Z  * [new tag]                 ciflow/inductor/165824      -> ciflow/inductor/165824
2025-11-03T16:12:51.5061909Z  * [new tag]                 ciflow/inductor/165856      -> ciflow/inductor/165856
2025-11-03T16:12:51.5062291Z  * [new tag]                 ciflow/inductor/165885      -> ciflow/inductor/165885
2025-11-03T16:12:51.5062634Z  * [new tag]                 ciflow/inductor/165952      -> ciflow/inductor/165952
2025-11-03T16:12:51.5062996Z  * [new tag]                 ciflow/inductor/165953      -> ciflow/inductor/165953
2025-11-03T16:12:51.5063376Z  * [new tag]                 ciflow/inductor/166071      -> ciflow/inductor/166071
2025-11-03T16:12:51.5063985Z  * [new tag]                 ciflow/inductor/166083      -> ciflow/inductor/166083
2025-11-03T16:12:51.5064282Z  * [new tag]                 ciflow/inductor/166170      -> ciflow/inductor/166170
2025-11-03T16:12:51.5064702Z  * [new tag]                 ciflow/inductor/166198      -> ciflow/inductor/166198
2025-11-03T16:12:51.5065188Z  * [new tag]                 ciflow/inductor/166225      -> ciflow/inductor/166225
2025-11-03T16:12:51.5065458Z  * [new tag]                 ciflow/inductor/166236      -> ciflow/inductor/166236
2025-11-03T16:12:51.5066000Z  * [new tag]                 ciflow/inductor/166250      -> ciflow/inductor/166250
2025-11-03T16:12:51.5066320Z  * [new tag]                 ciflow/inductor/166254      -> ciflow/inductor/166254
2025-11-03T16:12:51.5066710Z  * [new tag]                 ciflow/inductor/166276      -> ciflow/inductor/166276
2025-11-03T16:12:51.5067047Z  * [new tag]                 ciflow/inductor/166294      -> ciflow/inductor/166294
2025-11-03T16:12:51.5067377Z  * [new tag]                 ciflow/inductor/166300      -> ciflow/inductor/166300
2025-11-03T16:12:51.5067774Z  * [new tag]                 ciflow/inductor/166320      -> ciflow/inductor/166320
2025-11-03T16:12:51.5068166Z  * [new tag]                 ciflow/inductor/166321      -> ciflow/inductor/166321
2025-11-03T16:12:51.5068515Z  * [new tag]                 ciflow/inductor/166337      -> ciflow/inductor/166337
2025-11-03T16:12:51.5069111Z  * [new tag]                 ciflow/inductor/166341      -> ciflow/inductor/166341
2025-11-03T16:12:51.5069417Z  * [new tag]                 ciflow/inductor/166354      -> ciflow/inductor/166354
2025-11-03T16:12:51.5069787Z  * [new tag]                 ciflow/inductor/166355      -> ciflow/inductor/166355
2025-11-03T16:12:51.5070092Z  * [new tag]                 ciflow/inductor/166361      -> ciflow/inductor/166361
2025-11-03T16:12:51.5070461Z  * [new tag]                 ciflow/inductor/166366      -> ciflow/inductor/166366
2025-11-03T16:12:51.5070790Z  * [new tag]                 ciflow/inductor/166367      -> ciflow/inductor/166367
2025-11-03T16:12:51.5071184Z  * [new tag]                 ciflow/inductor/166370      -> ciflow/inductor/166370
2025-11-03T16:12:51.5071547Z  * [new tag]                 ciflow/inductor/166371      -> ciflow/inductor/166371
2025-11-03T16:12:51.5071907Z  * [new tag]                 ciflow/inductor/166372      -> ciflow/inductor/166372
2025-11-03T16:12:51.5072311Z  * [new tag]                 ciflow/inductor/166377      -> ciflow/inductor/166377
2025-11-03T16:12:51.5072680Z  * [new tag]                 ciflow/inductor/166400      -> ciflow/inductor/166400
2025-11-03T16:12:51.5073037Z  * [new tag]                 ciflow/inductor/166402      -> ciflow/inductor/166402
2025-11-03T16:12:51.5073393Z  * [new tag]                 ciflow/inductor/166417      -> ciflow/inductor/166417
2025-11-03T16:12:51.5073734Z  * [new tag]                 ciflow/inductor/166433      -> ciflow/inductor/166433
2025-11-03T16:12:51.5074276Z  * [new tag]                 ciflow/inductor/166442      -> ciflow/inductor/166442
2025-11-03T16:12:51.5074544Z  * [new tag]                 ciflow/inductor/166467      -> ciflow/inductor/166467
2025-11-03T16:12:51.5074915Z  * [new tag]                 ciflow/inductor/166479      -> ciflow/inductor/166479
2025-11-03T16:12:51.5075515Z  * [new tag]                 ciflow/inductor/166482      -> ciflow/inductor/166482
2025-11-03T16:12:51.5075782Z  * [new tag]                 ciflow/inductor/166483      -> ciflow/inductor/166483
2025-11-03T16:12:51.5076188Z  * [new tag]                 ciflow/inductor/166494      -> ciflow/inductor/166494
2025-11-03T16:12:51.5076610Z  * [new tag]                 ciflow/inductor/166498      -> ciflow/inductor/166498
2025-11-03T16:12:51.5077408Z  * [new tag]                 ciflow/inductor/166499      -> ciflow/inductor/166499
2025-11-03T16:12:51.5077723Z  * [new tag]                 ciflow/inductor/166515      -> ciflow/inductor/166515
2025-11-03T16:12:51.5078103Z  * [new tag]                 ciflow/inductor/166536      -> ciflow/inductor/166536
2025-11-03T16:12:51.5078639Z  * [new tag]                 ciflow/inductor/166540      -> ciflow/inductor/166540
2025-11-03T16:12:51.5078884Z  * [new tag]                 ciflow/inductor/166541      -> ciflow/inductor/166541
2025-11-03T16:12:51.5079265Z  * [new tag]                 ciflow/inductor/166545      -> ciflow/inductor/166545
2025-11-03T16:12:51.5079662Z  * [new tag]                 ciflow/inductor/166581      -> ciflow/inductor/166581
2025-11-03T16:12:51.5079976Z  * [new tag]                 ciflow/inductor/166584      -> ciflow/inductor/166584
2025-11-03T16:12:51.5080327Z  * [new tag]                 ciflow/inductor/166593      -> ciflow/inductor/166593
2025-11-03T16:12:51.5080876Z  * [new tag]                 ciflow/inductor/166600      -> ciflow/inductor/166600
2025-11-03T16:12:51.5081145Z  * [new tag]                 ciflow/inductor/166608      -> ciflow/inductor/166608
2025-11-03T16:12:51.5081491Z  * [new tag]                 ciflow/inductor/166610      -> ciflow/inductor/166610
2025-11-03T16:12:51.5081785Z  * [new tag]                 ciflow/inductor/166629      -> ciflow/inductor/166629
2025-11-03T16:12:51.5082339Z  * [new tag]                 ciflow/inductor/166640      -> ciflow/inductor/166640
2025-11-03T16:12:51.5082766Z  * [new tag]                 ciflow/inductor/166648      -> ciflow/inductor/166648
2025-11-03T16:12:51.5083208Z  * [new tag]                 ciflow/inductor/166658      -> ciflow/inductor/166658
2025-11-03T16:12:51.5083514Z  * [new tag]                 ciflow/inductor/166659      -> ciflow/inductor/166659
2025-11-03T16:12:51.5084138Z  * [new tag]                 ciflow/inductor/166662      -> ciflow/inductor/166662
2025-11-03T16:12:51.5084445Z  * [new tag]                 ciflow/inductor/166663      -> ciflow/inductor/166663
2025-11-03T16:12:51.5084792Z  * [new tag]                 ciflow/inductor/166664      -> ciflow/inductor/166664
2025-11-03T16:12:51.5085105Z  * [new tag]                 ciflow/inductor/166669      -> ciflow/inductor/166669
2025-11-03T16:12:51.5085454Z  * [new tag]                 ciflow/inductor/166673      -> ciflow/inductor/166673
2025-11-03T16:12:51.5085850Z  * [new tag]                 ciflow/inductor/166674      -> ciflow/inductor/166674
2025-11-03T16:12:51.5086194Z  * [new tag]                 ciflow/inductor/166676      -> ciflow/inductor/166676
2025-11-03T16:12:51.5086531Z  * [new tag]                 ciflow/inductor/166679      -> ciflow/inductor/166679
2025-11-03T16:12:51.5087207Z  * [new tag]                 ciflow/inductor/166701      -> ciflow/inductor/166701
2025-11-03T16:12:51.5087514Z  * [new tag]                 ciflow/inductor/166720      -> ciflow/inductor/166720
2025-11-03T16:12:51.5087855Z  * [new tag]                 ciflow/inductor/166738      -> ciflow/inductor/166738
2025-11-03T16:12:51.5088231Z  * [new tag]                 ciflow/inductor/166740      -> ciflow/inductor/166740
2025-11-03T16:12:51.5088574Z  * [new tag]                 ciflow/inductor/166741      -> ciflow/inductor/166741
2025-11-03T16:12:51.5088948Z  * [new tag]                 ciflow/inductor/166745      -> ciflow/inductor/166745
2025-11-03T16:12:51.5089355Z  * [new tag]                 ciflow/inductor/166747      -> ciflow/inductor/166747
2025-11-03T16:12:51.5089720Z  * [new tag]                 ciflow/inductor/166757      -> ciflow/inductor/166757
2025-11-03T16:12:51.5090093Z  * [new tag]                 ciflow/inductor/166762      -> ciflow/inductor/166762
2025-11-03T16:12:51.5090441Z  * [new tag]                 ciflow/inductor/166775      -> ciflow/inductor/166775
2025-11-03T16:12:51.5090872Z  * [new tag]                 ciflow/inductor/166776      -> ciflow/inductor/166776
2025-11-03T16:12:51.5091242Z  * [new tag]                 ciflow/inductor/166777      -> ciflow/inductor/166777
2025-11-03T16:12:51.5091659Z  * [new tag]                 ciflow/inductor/166788      -> ciflow/inductor/166788
2025-11-03T16:12:51.5092205Z  * [new tag]                 ciflow/inductor/166791      -> ciflow/inductor/166791
2025-11-03T16:12:51.5092409Z  * [new tag]                 ciflow/inductor/166793      -> ciflow/inductor/166793
2025-11-03T16:12:51.5092834Z  * [new tag]                 ciflow/inductor/166803      -> ciflow/inductor/166803
2025-11-03T16:12:51.5093196Z  * [new tag]                 ciflow/inductor/166808      -> ciflow/inductor/166808
2025-11-03T16:12:51.5093602Z  * [new tag]                 ciflow/inductor/166822      -> ciflow/inductor/166822
2025-11-03T16:12:51.5093901Z  * [new tag]                 ciflow/inductor/166834      -> ciflow/inductor/166834
2025-11-03T16:12:51.5094494Z  * [new tag]                 ciflow/inductor/166839      -> ciflow/inductor/166839
2025-11-03T16:12:51.5094852Z  * [new tag]                 ciflow/inductor/166846      -> ciflow/inductor/166846
2025-11-03T16:12:51.5095183Z  * [new tag]                 ciflow/inductor/166855      -> ciflow/inductor/166855
2025-11-03T16:12:51.5095555Z  * [new tag]                 ciflow/inductor/166867      -> ciflow/inductor/166867
2025-11-03T16:12:51.5095939Z  * [new tag]                 ciflow/inductor/166868      -> ciflow/inductor/166868
2025-11-03T16:12:51.5096527Z  * [new tag]                 ciflow/inductor/3b9a386     -> ciflow/inductor/3b9a386
2025-11-03T16:12:51.5096912Z  * [new tag]                 ciflow/inductor/3d4b92b     -> ciflow/inductor/3d4b92b
2025-11-03T16:12:51.5097467Z  * [new tag]                 ciflow/inductor/d224ac7     -> ciflow/inductor/d224ac7
2025-11-03T16:12:51.5097904Z  * [new tag]                 ciflow/linux-aarch64/166380 -> ciflow/linux-aarch64/166380
2025-11-03T16:12:51.5098224Z  * [new tag]                 ciflow/linux-aarch64/166441 -> ciflow/linux-aarch64/166441
2025-11-03T16:12:51.5098796Z  * [new tag]                 ciflow/linux-aarch64/166549 -> ciflow/linux-aarch64/166549
2025-11-03T16:12:51.5099084Z  * [new tag]                 ciflow/linux-aarch64/166640 -> ciflow/linux-aarch64/166640
2025-11-03T16:12:51.5099493Z  * [new tag]                 ciflow/linux-aarch64/166691 -> ciflow/linux-aarch64/166691
2025-11-03T16:12:51.5099810Z  * [new tag]                 ciflow/linux-aarch64/166849 -> ciflow/linux-aarch64/166849
2025-11-03T16:12:51.5100351Z  * [new tag]                 ciflow/mps/157553           -> ciflow/mps/157553
2025-11-03T16:12:51.5100568Z  * [new tag]                 ciflow/mps/157554           -> ciflow/mps/157554
2025-11-03T16:12:51.5100919Z  * [new tag]                 ciflow/mps/157635           -> ciflow/mps/157635
2025-11-03T16:12:51.5101248Z  * [new tag]                 ciflow/mps/165952           -> ciflow/mps/165952
2025-11-03T16:12:51.5101588Z  * [new tag]                 ciflow/mps/166254           -> ciflow/mps/166254
2025-11-03T16:12:51.5101956Z  * [new tag]                 ciflow/mps/166273           -> ciflow/mps/166273
2025-11-03T16:12:51.5102372Z  * [new tag]                 ciflow/mps/166396           -> ciflow/mps/166396
2025-11-03T16:12:51.5102918Z  * [new tag]                 ciflow/mps/166615           -> ciflow/mps/166615
2025-11-03T16:12:51.5103144Z  * [new tag]                 ciflow/mps/166687           -> ciflow/mps/166687
2025-11-03T16:12:51.5103551Z  * [new tag]                 ciflow/mps/166712           -> ciflow/mps/166712
2025-11-03T16:12:51.5103834Z  * [new tag]                 ciflow/mps/166818           -> ciflow/mps/166818
2025-11-03T16:12:51.5104389Z  * [new tag]                 ciflow/nightly/158104       -> ciflow/nightly/158104
2025-11-03T16:12:51.5104671Z  * [new tag]                 ciflow/nightly/166727       -> ciflow/nightly/166727
2025-11-03T16:12:51.5105113Z  * [new tag]                 ciflow/op-benchmark/165915  -> ciflow/op-benchmark/165915
2025-11-03T16:12:51.5105447Z  * [new tag]                 ciflow/op-benchmark/166331  -> ciflow/op-benchmark/166331
2025-11-03T16:12:51.5105785Z  * [new tag]                 ciflow/op-benchmark/166640  -> ciflow/op-benchmark/166640
2025-11-03T16:12:51.5106151Z  * [new tag]                 ciflow/op-benchmark/166652  -> ciflow/op-benchmark/166652
2025-11-03T16:12:51.5106533Z  * [new tag]                 ciflow/op-benchmark/166731  -> ciflow/op-benchmark/166731
2025-11-03T16:12:51.5106979Z  * [new tag]                 ciflow/periodic-rocm-mi200/166743 -> ciflow/periodic-rocm-mi200/166743
2025-11-03T16:12:51.5107559Z  * [new tag]                 ciflow/periodic-rocm-mi300/166517 -> ciflow/periodic-rocm-mi300/166517
2025-11-03T16:12:51.5107903Z  * [new tag]                 ciflow/periodic-rocm-mi300/166743 -> ciflow/periodic-rocm-mi300/166743
2025-11-03T16:12:51.5108474Z  * [new tag]                 ciflow/periodic/054a2fd     -> ciflow/periodic/054a2fd
2025-11-03T16:12:51.5109037Z  * [new tag]                 ciflow/periodic/06e71c85583d9857f716b441eef9db40d3f27a39 -> ciflow/periodic/06e71c85583d9857f716b441eef9db40d3f27a39
2025-11-03T16:12:51.5109891Z  * [new tag]                 ciflow/periodic/0e46a10aa7cf69354a0a0cbd268506b53a7cc882 -> ciflow/periodic/0e46a10aa7cf69354a0a0cbd268506b53a7cc882
2025-11-03T16:12:51.5110023Z  * [new tag]                 ciflow/periodic/163490      -> ciflow/periodic/163490
2025-11-03T16:12:51.5110600Z  * [new tag]                 ciflow/periodic/164202      -> ciflow/periodic/164202
2025-11-03T16:12:51.5110835Z  * [new tag]                 ciflow/periodic/164938      -> ciflow/periodic/164938
2025-11-03T16:12:51.5111221Z  * [new tag]                 ciflow/periodic/165885      -> ciflow/periodic/165885
2025-11-03T16:12:51.5111824Z  * [new tag]                 ciflow/periodic/166517      -> ciflow/periodic/166517
2025-11-03T16:12:51.5112595Z  * [new tag]                 ciflow/periodic/1e836bc769f9cfabc7659a172b8c2edee7c375d3 -> ciflow/periodic/1e836bc769f9cfabc7659a172b8c2edee7c375d3
2025-11-03T16:12:51.5112865Z  * [new tag]                 ciflow/periodic/2a6d37d     -> ciflow/periodic/2a6d37d
2025-11-03T16:12:51.5113419Z  * [new tag]                 ciflow/periodic/317eeb8     -> ciflow/periodic/317eeb8
2025-11-03T16:12:51.5113731Z  * [new tag]                 ciflow/periodic/3c32        -> ciflow/periodic/3c32
2025-11-03T16:12:51.5114333Z  * [new tag]                 ciflow/periodic/3e98831     -> ciflow/periodic/3e98831
2025-11-03T16:12:51.5115033Z  * [new tag]                 ciflow/periodic/687c15c0b3f01118536413d21efcd052838fa10d -> ciflow/periodic/687c15c0b3f01118536413d21efcd052838fa10d
2025-11-03T16:12:51.5115447Z  * [new tag]                 ciflow/periodic/7379972cc0e8a4b4d88b4bea5c8be0aeffdb076a -> ciflow/periodic/7379972cc0e8a4b4d88b4bea5c8be0aeffdb076a
2025-11-03T16:12:51.5115867Z  * [new tag]                 ciflow/periodic/94512-point -> ciflow/periodic/94512-point
2025-11-03T16:12:51.5116547Z  * [new tag]                 ciflow/periodic/96b61844a722d2ae8b1a2dc283a6c0060b40782e -> ciflow/periodic/96b61844a722d2ae8b1a2dc283a6c0060b40782e
2025-11-03T16:12:51.5116940Z  * [new tag]                 ciflow/periodic/be283297100ab86123e74b7a8372995d32b140c8 -> ciflow/periodic/be283297100ab86123e74b7a8372995d32b140c8
2025-11-03T16:12:51.5117392Z  * [new tag]                 ciflow/periodic/bfc2050db975e589795cd3eceaed2e83bf89ad35 -> ciflow/periodic/bfc2050db975e589795cd3eceaed2e83bf89ad35
2025-11-03T16:12:51.5117864Z  * [new tag]                 ciflow/periodic/c5701d0ab5f55b23243dd437f57e856970c45bb6 -> ciflow/periodic/c5701d0ab5f55b23243dd437f57e856970c45bb6
2025-11-03T16:12:51.5118369Z  * [new tag]                 ciflow/periodic/cde81e92b95eee9af2879c9c75f7b03699ca72ad -> ciflow/periodic/cde81e92b95eee9af2879c9c75f7b03699ca72ad
2025-11-03T16:12:51.5118880Z  * [new tag]                 ciflow/periodic/csl/test87519 -> ciflow/periodic/csl/test87519
2025-11-03T16:12:51.5119311Z  * [new tag]                 ciflow/periodic/csltest88275 -> ciflow/periodic/csltest88275
2025-11-03T16:12:51.5119734Z  * [new tag]                 ciflow/periodic/csltest88761 -> ciflow/periodic/csltest88761
2025-11-03T16:12:51.5120273Z  * [new tag]                 ciflow/periodic/release_1.12 -> ciflow/periodic/release_1.12
2025-11-03T16:12:51.5120872Z  * [new tag]                 ciflow/periodic/release_1.12.0 -> ciflow/periodic/release_1.12.0
2025-11-03T16:12:51.5121435Z  * [new tag]                 ciflow/periodic/sha-ec5b83  -> ciflow/periodic/sha-ec5b83
2025-11-03T16:12:51.5121838Z  * [new tag]                 ciflow/pull/166321          -> ciflow/pull/166321
2025-11-03T16:12:51.5122183Z  * [new tag]                 ciflow/pull/166768          -> ciflow/pull/166768
2025-11-03T16:12:51.5122892Z  * [new tag]                 ciflow/pull/18f425962656f009e151944d12f76e2f856b85df -> ciflow/pull/18f425962656f009e151944d12f76e2f856b85df
2025-11-03T16:12:51.5123338Z  * [new tag]                 ciflow/pull/76780b1a3d208b142f067bdd655e7d4c5615efe1 -> ciflow/pull/76780b1a3d208b142f067bdd655e7d4c5615efe1
2025-11-03T16:12:51.5124026Z  * [new tag]                 ciflow/pull/79aee77381b21d41c77148e5ff84c4b351aaf144 -> ciflow/pull/79aee77381b21d41c77148e5ff84c4b351aaf144
2025-11-03T16:12:51.5124517Z  * [new tag]                 ciflow/pull/bc03d7c97462abfd45fc1b7b73d5c7acbbd2c185 -> ciflow/pull/bc03d7c97462abfd45fc1b7b73d5c7acbbd2c185
2025-11-03T16:12:51.5125149Z  * [new tag]                 ciflow/pull/cee03634dab2dbf259d84bc389bdea80de0f80ac -> ciflow/pull/cee03634dab2dbf259d84bc389bdea80de0f80ac
2025-11-03T16:12:51.5125525Z  * [new tag]                 ciflow/pull/d962bed15798961ffd10e64068f86a2cec411ffb -> ciflow/pull/d962bed15798961ffd10e64068f86a2cec411ffb
2025-11-03T16:12:51.5125986Z  * [new tag]                 ciflow/pull/e471800dceb8a6592562fc4fc96a5e80bc494c0a -> ciflow/pull/e471800dceb8a6592562fc4fc96a5e80bc494c0a
2025-11-03T16:12:51.5126493Z  * [new tag]                 ciflow/pull/f013e804c876a34cbc86a6a475597e3e29812883 -> ciflow/pull/f013e804c876a34cbc86a6a475597e3e29812883
2025-11-03T16:12:51.5126972Z  * [new tag]                 ciflow/pull/f5cb9a4c68d9271c58ef4d3257210984b8e85099 -> ciflow/pull/f5cb9a4c68d9271c58ef4d3257210984b8e85099
2025-11-03T16:12:51.5127264Z  * [new tag]                 ciflow/rocm-mi300/162053    -> ciflow/rocm-mi300/162053
2025-11-03T16:12:51.5127583Z  * [new tag]                 ciflow/rocm-mi300/165548    -> ciflow/rocm-mi300/165548
2025-11-03T16:12:51.5128099Z  * [new tag]                 ciflow/rocm-mi300/166317    -> ciflow/rocm-mi300/166317
2025-11-03T16:12:51.5128355Z  * [new tag]                 ciflow/rocm-mi300/166743    -> ciflow/rocm-mi300/166743
2025-11-03T16:12:51.5128950Z  * [new tag]                 ciflow/rocm-mi355/162053    -> ciflow/rocm-mi355/162053
2025-11-03T16:12:51.5129294Z  * [new tag]                 ciflow/rocm-mi355/166743    -> ciflow/rocm-mi355/166743
2025-11-03T16:12:51.5129723Z  * [new tag]                 ciflow/rocm/115316          -> ciflow/rocm/115316
2025-11-03T16:12:51.5129998Z  * [new tag]                 ciflow/rocm/148492          -> ciflow/rocm/148492
2025-11-03T16:12:51.5130384Z  * [new tag]                 ciflow/rocm/151845          -> ciflow/rocm/151845
2025-11-03T16:12:51.5130694Z  * [new tag]                 ciflow/rocm/157553          -> ciflow/rocm/157553
2025-11-03T16:12:51.5131041Z  * [new tag]                 ciflow/rocm/157635          -> ciflow/rocm/157635
2025-11-03T16:12:51.5131381Z  * [new tag]                 ciflow/rocm/160685          -> ciflow/rocm/160685
2025-11-03T16:12:51.5131689Z  * [new tag]                 ciflow/rocm/161404          -> ciflow/rocm/161404
2025-11-03T16:12:51.5132035Z  * [new tag]                 ciflow/rocm/162053          -> ciflow/rocm/162053
2025-11-03T16:12:51.5132336Z  * [new tag]                 ciflow/rocm/163369          -> ciflow/rocm/163369
2025-11-03T16:12:51.5132693Z  * [new tag]                 ciflow/rocm/164657          -> ciflow/rocm/164657
2025-11-03T16:12:51.5132996Z  * [new tag]                 ciflow/rocm/165132          -> ciflow/rocm/165132
2025-11-03T16:12:51.5133565Z  * [new tag]                 ciflow/rocm/165541          -> ciflow/rocm/165541
2025-11-03T16:12:51.5133946Z  * [new tag]                 ciflow/rocm/165548          -> ciflow/rocm/165548
2025-11-03T16:12:51.5134407Z  * [new tag]                 ciflow/rocm/165952          -> ciflow/rocm/165952
2025-11-03T16:12:51.5134932Z  * [new tag]                 ciflow/rocm/165997          -> ciflow/rocm/165997
2025-11-03T16:12:51.5135240Z  * [new tag]                 ciflow/rocm/166250          -> ciflow/rocm/166250
2025-11-03T16:12:51.5135581Z  * [new tag]                 ciflow/rocm/166317          -> ciflow/rocm/166317
2025-11-03T16:12:51.5135942Z  * [new tag]                 ciflow/rocm/166377          -> ciflow/rocm/166377
2025-11-03T16:12:51.5136337Z  * [new tag]                 ciflow/rocm/166391          -> ciflow/rocm/166391
2025-11-03T16:12:51.5136928Z  * [new tag]                 ciflow/rocm/166515          -> ciflow/rocm/166515
2025-11-03T16:12:51.5137180Z  * [new tag]                 ciflow/rocm/166517          -> ciflow/rocm/166517
2025-11-03T16:12:51.5137574Z  * [new tag]                 ciflow/rocm/166526          -> ciflow/rocm/166526
2025-11-03T16:12:51.5137904Z  * [new tag]                 ciflow/rocm/166743          -> ciflow/rocm/166743
2025-11-03T16:12:51.5138302Z  * [new tag]                 ciflow/rocm/166744          -> ciflow/rocm/166744
2025-11-03T16:12:51.5138679Z  * [new tag]                 ciflow/rocm/166752          -> ciflow/rocm/166752
2025-11-03T16:12:51.5139042Z  * [new tag]                 ciflow/rocm/166764          -> ciflow/rocm/166764
2025-11-03T16:12:51.5139418Z  * [new tag]                 ciflow/rocm/166834          -> ciflow/rocm/166834
2025-11-03T16:12:51.5140078Z  * [new tag]                 ciflow/slow/01c7106         -> ciflow/slow/01c7106
2025-11-03T16:12:51.5140447Z  * [new tag]                 ciflow/slow/0577043         -> ciflow/slow/0577043
2025-11-03T16:12:51.5141177Z  * [new tag]                 ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym -> ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym
2025-11-03T16:12:51.5141350Z  * [new tag]                 ciflow/slow/0e81104         -> ciflow/slow/0e81104
2025-11-03T16:12:51.5141651Z  * [new tag]                 ciflow/slow/166844          -> ciflow/slow/166844
2025-11-03T16:12:51.5142193Z  * [new tag]                 ciflow/slow/1732077         -> ciflow/slow/1732077
2025-11-03T16:12:51.5142621Z  * [new tag]                 ciflow/slow/187eb7c         -> ciflow/slow/187eb7c
2025-11-03T16:12:51.5143153Z  * [new tag]                 ciflow/slow/1faef89         -> ciflow/slow/1faef89
2025-11-03T16:12:51.5143680Z  * [new tag]                 ciflow/slow/3920ec1         -> ciflow/slow/3920ec1
2025-11-03T16:12:51.5144209Z  * [new tag]                 ciflow/slow/3b7c6b2         -> ciflow/slow/3b7c6b2
2025-11-03T16:12:51.5144570Z  * [new tag]                 ciflow/slow/59a3759         -> ciflow/slow/59a3759
2025-11-03T16:12:51.5145094Z  * [new tag]                 ciflow/slow/70ef0bb         -> ciflow/slow/70ef0bb
2025-11-03T16:12:51.5145444Z  * [new tag]                 ciflow/slow/788ff06         -> ciflow/slow/788ff06
2025-11-03T16:12:51.5146281Z  * [new tag]                 ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym -> ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym
2025-11-03T16:12:51.5146492Z  * [new tag]                 ciflow/slow/9d85864         -> ciflow/slow/9d85864
2025-11-03T16:12:51.5147030Z  * [new tag]                 ciflow/slow/9ffad5b         -> ciflow/slow/9ffad5b
2025-11-03T16:12:51.5147364Z  * [new tag]                 ciflow/slow/a206e8b         -> ciflow/slow/a206e8b
2025-11-03T16:12:51.5147856Z  * [new tag]                 ciflow/slow/a837609         -> ciflow/slow/a837609
2025-11-03T16:12:51.5148351Z  * [new tag]                 ciflow/slow/af841f3         -> ciflow/slow/af841f3
2025-11-03T16:12:51.5149040Z  * [new tag]                 ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym -> ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym
2025-11-03T16:12:51.5149610Z  * [new tag]                 ciflow/trunk/04d6a6f3392a87af8baf620dc0a323ffbb188c12 -> ciflow/trunk/04d6a6f3392a87af8baf620dc0a323ffbb188c12
2025-11-03T16:12:51.5150171Z  * [new tag]                 ciflow/trunk/0573747b6af273c6ac8cf9f1d81dc56066a57445 -> ciflow/trunk/0573747b6af273c6ac8cf9f1d81dc56066a57445
2025-11-03T16:12:51.5150346Z  * [new tag]                 ciflow/trunk/137400         -> ciflow/trunk/137400
2025-11-03T16:12:51.5150696Z  * [new tag]                 ciflow/trunk/148180         -> ciflow/trunk/148180
2025-11-03T16:12:51.5151067Z  * [new tag]                 ciflow/trunk/148328         -> ciflow/trunk/148328
2025-11-03T16:12:51.5151360Z  * [new tag]                 ciflow/trunk/148492         -> ciflow/trunk/148492
2025-11-03T16:12:51.5151735Z  * [new tag]                 ciflow/trunk/151845         -> ciflow/trunk/151845
2025-11-03T16:12:51.5152122Z  * [new tag]                 ciflow/trunk/152624         -> ciflow/trunk/152624
2025-11-03T16:12:51.5152651Z  * [new tag]                 ciflow/trunk/155731         -> ciflow/trunk/155731
2025-11-03T16:12:51.5153151Z  * [new tag]                 ciflow/trunk/156812         -> ciflow/trunk/156812
2025-11-03T16:12:51.5153318Z  * [new tag]                 ciflow/trunk/157432         -> ciflow/trunk/157432
2025-11-03T16:12:51.5153878Z  * [new tag]                 ciflow/trunk/158104         -> ciflow/trunk/158104
2025-11-03T16:12:51.5154091Z  * [new tag]                 ciflow/trunk/160417         -> ciflow/trunk/160417
2025-11-03T16:12:51.5154588Z  * [new tag]                 ciflow/trunk/161035         -> ciflow/trunk/161035
2025-11-03T16:12:51.5154975Z  * [new tag]                 ciflow/trunk/161771         -> ciflow/trunk/161771
2025-11-03T16:12:51.5155300Z  * [new tag]                 ciflow/trunk/162053         -> ciflow/trunk/162053
2025-11-03T16:12:51.5155801Z  * [new tag]                 ciflow/trunk/162454         -> ciflow/trunk/162454
2025-11-03T16:12:51.5156060Z  * [new tag]                 ciflow/trunk/162564         -> ciflow/trunk/162564
2025-11-03T16:12:51.5156448Z  * [new tag]                 ciflow/trunk/162709         -> ciflow/trunk/162709
2025-11-03T16:12:51.5156807Z  * [new tag]                 ciflow/trunk/162795         -> ciflow/trunk/162795
2025-11-03T16:12:51.5157149Z  * [new tag]                 ciflow/trunk/163249         -> ciflow/trunk/163249
2025-11-03T16:12:51.5157489Z  * [new tag]                 ciflow/trunk/163490         -> ciflow/trunk/163490
2025-11-03T16:12:51.5157814Z  * [new tag]                 ciflow/trunk/164202         -> ciflow/trunk/164202
2025-11-03T16:12:51.5158167Z  * [new tag]                 ciflow/trunk/164938         -> ciflow/trunk/164938
2025-11-03T16:12:51.5158869Z  * [new tag]                 ciflow/trunk/164979         -> ciflow/trunk/164979
2025-11-03T16:12:51.5159150Z  * [new tag]                 ciflow/trunk/164980         -> ciflow/trunk/164980
2025-11-03T16:12:51.5159522Z  * [new tag]                 ciflow/trunk/165029         -> ciflow/trunk/165029
2025-11-03T16:12:51.5160023Z  * [new tag]                 ciflow/trunk/165049         -> ciflow/trunk/165049
2025-11-03T16:12:51.5160375Z  * [new tag]                 ciflow/trunk/165067         -> ciflow/trunk/165067
2025-11-03T16:12:51.5160770Z  * [new tag]                 ciflow/trunk/165132         -> ciflow/trunk/165132
2025-11-03T16:12:51.5161453Z  * [new tag]                 ciflow/trunk/165216         -> ciflow/trunk/165216
2025-11-03T16:12:51.5161748Z  * [new tag]                 ciflow/trunk/165274         -> ciflow/trunk/165274
2025-11-03T16:12:51.5162151Z  * [new tag]                 ciflow/trunk/165431         -> ciflow/trunk/165431
2025-11-03T16:12:51.5162567Z  * [new tag]                 ciflow/trunk/165548         -> ciflow/trunk/165548
2025-11-03T16:12:51.5162882Z  * [new tag]                 ciflow/trunk/165642         -> ciflow/trunk/165642
2025-11-03T16:12:51.5163322Z  * [new tag]                 ciflow/trunk/165646         -> ciflow/trunk/165646
2025-11-03T16:12:51.5163621Z  * [new tag]                 ciflow/trunk/165728         -> ciflow/trunk/165728
2025-11-03T16:12:51.5163984Z  * [new tag]                 ciflow/trunk/165824         -> ciflow/trunk/165824
2025-11-03T16:12:51.5164358Z  * [new tag]                 ciflow/trunk/165885         -> ciflow/trunk/165885
2025-11-03T16:12:51.5164675Z  * [new tag]                 ciflow/trunk/165922         -> ciflow/trunk/165922
2025-11-03T16:12:51.5164995Z  * [new tag]                 ciflow/trunk/165972         -> ciflow/trunk/165972
2025-11-03T16:12:51.5165409Z  * [new tag]                 ciflow/trunk/166010         -> ciflow/trunk/166010
2025-11-03T16:12:51.5165776Z  * [new tag]                 ciflow/trunk/166071         -> ciflow/trunk/166071
2025-11-03T16:12:51.5166309Z  * [new tag]                 ciflow/trunk/166160         -> ciflow/trunk/166160
2025-11-03T16:12:51.5166643Z  * [new tag]                 ciflow/trunk/166170         -> ciflow/trunk/166170
2025-11-03T16:12:51.5166936Z  * [new tag]                 ciflow/trunk/166198         -> ciflow/trunk/166198
2025-11-03T16:12:51.5167261Z  * [new tag]                 ciflow/trunk/166294         -> ciflow/trunk/166294
2025-11-03T16:12:51.5167611Z  * [new tag]                 ciflow/trunk/166299         -> ciflow/trunk/166299
2025-11-03T16:12:51.5167996Z  * [new tag]                 ciflow/trunk/166317         -> ciflow/trunk/166317
2025-11-03T16:12:51.5168360Z  * [new tag]                 ciflow/trunk/166321         -> ciflow/trunk/166321
2025-11-03T16:12:51.5168701Z  * [new tag]                 ciflow/trunk/166361         -> ciflow/trunk/166361
2025-11-03T16:12:51.5169030Z  * [new tag]                 ciflow/trunk/166367         -> ciflow/trunk/166367
2025-11-03T16:12:51.5169609Z  * [new tag]                 ciflow/trunk/166376         -> ciflow/trunk/166376
2025-11-03T16:12:51.5169848Z  * [new tag]                 ciflow/trunk/166379         -> ciflow/trunk/166379
2025-11-03T16:12:51.5170204Z  * [new tag]                 ciflow/trunk/166380         -> ciflow/trunk/166380
2025-11-03T16:12:51.5170569Z  * [new tag]                 ciflow/trunk/166402         -> ciflow/trunk/166402
2025-11-03T16:12:51.5170938Z  * [new tag]                 ciflow/trunk/166416         -> ciflow/trunk/166416
2025-11-03T16:12:51.5171250Z  * [new tag]                 ciflow/trunk/166431         -> ciflow/trunk/166431
2025-11-03T16:12:51.5171610Z  * [new tag]                 ciflow/trunk/166433         -> ciflow/trunk/166433
2025-11-03T16:12:51.5172166Z  * [new tag]                 ciflow/trunk/166459         -> ciflow/trunk/166459
2025-11-03T16:12:51.5172395Z  * [new tag]                 ciflow/trunk/166469         -> ciflow/trunk/166469
2025-11-03T16:12:51.5172882Z  * [new tag]                 ciflow/trunk/166493         -> ciflow/trunk/166493
2025-11-03T16:12:51.5173209Z  * [new tag]                 ciflow/trunk/166526         -> ciflow/trunk/166526
2025-11-03T16:12:51.5173557Z  * [new tag]                 ciflow/trunk/166536         -> ciflow/trunk/166536
2025-11-03T16:12:51.5173914Z  * [new tag]                 ciflow/trunk/166541         -> ciflow/trunk/166541
2025-11-03T16:12:51.5174246Z  * [new tag]                 ciflow/trunk/166549         -> ciflow/trunk/166549
2025-11-03T16:12:51.5174877Z  * [new tag]                 ciflow/trunk/166560         -> ciflow/trunk/166560
2025-11-03T16:12:51.5175155Z  * [new tag]                 ciflow/trunk/166608         -> ciflow/trunk/166608
2025-11-03T16:12:51.5175483Z  * [new tag]                 ciflow/trunk/166610         -> ciflow/trunk/166610
2025-11-03T16:12:51.5175880Z  * [new tag]                 ciflow/trunk/166613         -> ciflow/trunk/166613
2025-11-03T16:12:51.5176221Z  * [new tag]                 ciflow/trunk/166640         -> ciflow/trunk/166640
2025-11-03T16:12:51.5176608Z  * [new tag]                 ciflow/trunk/166687         -> ciflow/trunk/166687
2025-11-03T16:12:51.5176962Z  * [new tag]                 ciflow/trunk/166688         -> ciflow/trunk/166688
2025-11-03T16:12:51.5177340Z  * [new tag]                 ciflow/trunk/166689         -> ciflow/trunk/166689
2025-11-03T16:12:51.5177718Z  * [new tag]                 ciflow/trunk/166715         -> ciflow/trunk/166715
2025-11-03T16:12:51.5178252Z  * [new tag]                 ciflow/trunk/166727         -> ciflow/trunk/166727
2025-11-03T16:12:51.5178484Z  * [new tag]                 ciflow/trunk/166744         -> ciflow/trunk/166744
2025-11-03T16:12:51.5179066Z  * [new tag]                 ciflow/trunk/166751         -> ciflow/trunk/166751
2025-11-03T16:12:51.5179386Z  * [new tag]                 ciflow/trunk/166768         -> ciflow/trunk/166768
2025-11-03T16:12:51.5179689Z  * [new tag]                 ciflow/trunk/166793         -> ciflow/trunk/166793
2025-11-03T16:12:51.5180000Z  * [new tag]                 ciflow/trunk/166805         -> ciflow/trunk/166805
2025-11-03T16:12:51.5180368Z  * [new tag]                 ciflow/trunk/166806         -> ciflow/trunk/166806
2025-11-03T16:12:51.5180767Z  * [new tag]                 ciflow/trunk/166813         -> ciflow/trunk/166813
2025-11-03T16:12:51.5181083Z  * [new tag]                 ciflow/trunk/166830         -> ciflow/trunk/166830
2025-11-03T16:12:51.5182025Z  * [new tag]                 ciflow/trunk/166839         -> ciflow/trunk/166839
2025-11-03T16:12:51.5182133Z  * [new tag]                 ciflow/trunk/166840         -> ciflow/trunk/166840
2025-11-03T16:12:51.5182248Z  * [new tag]                 ciflow/trunk/166844         -> ciflow/trunk/166844
2025-11-03T16:12:51.5182517Z  * [new tag]                 ciflow/trunk/166847         -> ciflow/trunk/166847
2025-11-03T16:12:51.5184042Z  * [new tag]                 ciflow/trunk/166861         -> ciflow/trunk/166861
2025-11-03T16:12:51.5184308Z  * [new tag]                 ciflow/trunk/18f425962656f009e151944d12f76e2f856b85df -> ciflow/trunk/18f425962656f009e151944d12f76e2f856b85df
2025-11-03T16:12:51.5184577Z  * [new tag]                 ciflow/trunk/76780b1a3d208b142f067bdd655e7d4c5615efe1 -> ciflow/trunk/76780b1a3d208b142f067bdd655e7d4c5615efe1
2025-11-03T16:12:51.5185058Z  * [new tag]                 ciflow/trunk/a19e92d43355489c8d33325321e688a6e6182267 -> ciflow/trunk/a19e92d43355489c8d33325321e688a6e6182267
2025-11-03T16:12:51.5185423Z  * [new tag]                 ciflow/trunk/bc03d7c97462abfd45fc1b7b73d5c7acbbd2c185 -> ciflow/trunk/bc03d7c97462abfd45fc1b7b73d5c7acbbd2c185
2025-11-03T16:12:51.5185857Z  * [new tag]                 ciflow/trunk/c3dc0c7089f3204c36961acc227a3ff503530094 -> ciflow/trunk/c3dc0c7089f3204c36961acc227a3ff503530094
2025-11-03T16:12:51.5186209Z  * [new tag]                 ciflow/trunk/cee03634dab2dbf259d84bc389bdea80de0f80ac -> ciflow/trunk/cee03634dab2dbf259d84bc389bdea80de0f80ac
2025-11-03T16:12:51.5186601Z  * [new tag]                 ciflow/trunk/d962bed15798961ffd10e64068f86a2cec411ffb -> ciflow/trunk/d962bed15798961ffd10e64068f86a2cec411ffb
2025-11-03T16:12:51.5186936Z  * [new tag]                 ciflow/trunk/e471800dceb8a6592562fc4fc96a5e80bc494c0a -> ciflow/trunk/e471800dceb8a6592562fc4fc96a5e80bc494c0a
2025-11-03T16:12:51.5187333Z  * [new tag]                 ciflow/trunk/f013e804c876a34cbc86a6a475597e3e29812883 -> ciflow/trunk/f013e804c876a34cbc86a6a475597e3e29812883
2025-11-03T16:12:51.5187920Z  * [new tag]                 ciflow/unstable/123         -> ciflow/unstable/123
2025-11-03T16:12:51.5188279Z  * [new tag]                 ciflow/vllm/165274          -> ciflow/vllm/165274
2025-11-03T16:12:51.5188554Z  * [new tag]                 ciflow/vllm/166494          -> ciflow/vllm/166494
2025-11-03T16:12:51.5189098Z  * [new tag]                 ciflow/win-arm64/158104     -> ciflow/win-arm64/158104
2025-11-03T16:12:51.5189396Z  * [new tag]                 ciflow/xpu/156812           -> ciflow/xpu/156812
2025-11-03T16:12:51.5189807Z  * [new tag]                 ciflow/xpu/161246           -> ciflow/xpu/161246
2025-11-03T16:12:51.5190178Z  * [new tag]                 ciflow/xpu/162454           -> ciflow/xpu/162454
2025-11-03T16:12:51.5190588Z  * [new tag]                 ciflow/xpu/162475           -> ciflow/xpu/162475
2025-11-03T16:12:51.5190919Z  * [new tag]                 ciflow/xpu/162564           -> ciflow/xpu/162564
2025-11-03T16:12:51.5191213Z  * [new tag]                 ciflow/xpu/165049           -> ciflow/xpu/165049
2025-11-03T16:12:51.5191575Z  * [new tag]                 ciflow/xpu/165423           -> ciflow/xpu/165423
2025-11-03T16:12:51.5191886Z  * [new tag]                 ciflow/xpu/166292           -> ciflow/xpu/166292
2025-11-03T16:12:51.5192182Z  * [new tag]                 ciflow/xpu/166299           -> ciflow/xpu/166299
2025-11-03T16:12:51.5192536Z  * [new tag]                 ciflow/xpu/166376           -> ciflow/xpu/166376
2025-11-03T16:12:51.5192903Z  * [new tag]                 ciflow/xpu/166396           -> ciflow/xpu/166396
2025-11-03T16:12:51.5193440Z  * [new tag]                 ciflow/xpu/166424           -> ciflow/xpu/166424
2025-11-03T16:12:51.5194082Z  * [new tag]                 ciflow/xpu/166436           -> ciflow/xpu/166436
2025-11-03T16:12:51.5194374Z  * [new tag]                 ciflow/xpu/166495           -> ciflow/xpu/166495
2025-11-03T16:12:51.5194794Z  * [new tag]                 ciflow/xpu/166504           -> ciflow/xpu/166504
2025-11-03T16:12:51.5195161Z  * [new tag]                 ciflow/xpu/166613           -> ciflow/xpu/166613
2025-11-03T16:12:51.5195848Z  * [new tag]                 ciflow/xpu/166684           -> ciflow/xpu/166684
2025-11-03T16:12:51.5196087Z  * [new tag]                 ciflow/xpu/166830           -> ciflow/xpu/166830
2025-11-03T16:12:51.5196467Z  * [new tag]                 ciflow/xpu/166834           -> ciflow/xpu/166834
2025-11-03T16:12:51.5196727Z  * [new tag]                 ciflow/xpu/166839           -> ciflow/xpu/166839
2025-11-03T16:12:51.5197127Z  * [new tag]                 ciflow/xpu/166840           -> ciflow/xpu/166840
2025-11-03T16:12:51.5197427Z  * [new tag]                 ciflow/xpu/166847           -> ciflow/xpu/166847
2025-11-03T16:12:51.5197836Z  * [new tag]                 ciflow/xpu/166861           -> ciflow/xpu/166861
2025-11-03T16:12:51.5198400Z  * [new tag]                 cslpull75                   -> cslpull75
2025-11-03T16:12:51.5198717Z  * [new tag]                 cslpull76                   -> cslpull76
2025-11-03T16:12:51.5199121Z  * [new tag]                 cslpull77                   -> cslpull77
2025-11-03T16:12:51.5199674Z  * [new tag]                 cslpull78                   -> cslpull78
2025-11-03T16:12:51.5200233Z  * [new tag]                 cslpull79                   -> cslpull79
2025-11-03T16:12:51.5200789Z  * [new tag]                 cslpull80                   -> cslpull80
2025-11-03T16:12:51.5201176Z  * [new tag]                 cslpull81                   -> cslpull81
2025-11-03T16:12:51.5201565Z  * [new tag]                 cslpull82                   -> cslpull82
2025-11-03T16:12:51.5202084Z  * [new tag]                 cslpull83                   -> cslpull83
2025-11-03T16:12:51.5202406Z  * [new tag]                 cslpull84                   -> cslpull84
2025-11-03T16:12:51.5202995Z  * [new tag]                 cslpull85                   -> cslpull85
2025-11-03T16:12:51.5203367Z  * [new tag]                 cslpull86                   -> cslpull86
2025-11-03T16:12:51.5203823Z  * [new tag]                 cslpull87                   -> cslpull87
2025-11-03T16:12:51.5204340Z  * [new tag]                 cslpull88                   -> cslpull88
2025-11-03T16:12:51.5204675Z  * [new tag]                 cslpull89                   -> cslpull89
2025-11-03T16:12:51.5204989Z  * [new tag]                 cslpull90                   -> cslpull90
2025-11-03T16:12:51.5205872Z  * [new tag]                 cslpull91                   -> cslpull91
2025-11-03T16:12:51.5206184Z  * [new tag]                 cslpull92                   -> cslpull92
2025-11-03T16:12:51.5206767Z  * [new tag]                 flight_5                    -> flight_5
2025-11-03T16:12:51.5207327Z  * [new tag]                 flight_5.1                  -> flight_5.1
2025-11-03T16:12:51.5207696Z  * [new tag]                 flight_5.2                  -> flight_5.2
2025-11-03T16:12:51.5208269Z  * [new tag]                 flight_5.3                  -> flight_5.3
2025-11-03T16:12:51.5208846Z  * [new tag]                 forpull1                    -> forpull1
2025-11-03T16:12:51.5209428Z  * [new tag]                 malfet/tag-2ef5611          -> malfet/tag-2ef5611
2025-11-03T16:12:51.5209817Z  * [new tag]                 malfet/tag-317b1a0          -> malfet/tag-317b1a0
2025-11-03T16:12:51.5210347Z  * [new tag]                 malfet/tag-ec6f767          -> malfet/tag-ec6f767
2025-11-03T16:12:51.5210776Z  * [new tag]                 nightly-binary              -> nightly-binary
2025-11-03T16:12:51.5211319Z  * [new tag]                 sqzhang_flight4_plus        -> sqzhang_flight4_plus
2025-11-03T16:12:51.5211739Z  * [new tag]                 sqzhang_flight_3            -> sqzhang_flight_3
2025-11-03T16:12:51.5212599Z  * [new tag]                 trunk/000f49551bfda0683d395e1fe67f53cfb785868f -> trunk/000f49551bfda0683d395e1fe67f53cfb785868f
2025-11-03T16:12:51.5212812Z  * [new tag]                 trunk/009ea77234788b29910b1205679036eaae3ee3ac -> trunk/009ea77234788b29910b1205679036eaae3ee3ac
2025-11-03T16:12:51.5213524Z  * [new tag]                 trunk/0187db88d463905e5f7dcdf7689519e2807e5a12 -> trunk/0187db88d463905e5f7dcdf7689519e2807e5a12
2025-11-03T16:12:51.5213984Z  * [new tag]                 trunk/02095cc09db01f1fecae436ac1a6ecdf2cfca0db -> trunk/02095cc09db01f1fecae436ac1a6ecdf2cfca0db
2025-11-03T16:12:51.5214428Z  * [new tag]                 trunk/030de07affa347a80fa9f11ab8e9234fc6d7fd4d -> trunk/030de07affa347a80fa9f11ab8e9234fc6d7fd4d
2025-11-03T16:12:51.5214814Z  * [new tag]                 trunk/034e951b0cfb02d7b55327cd482e58cf2695dca0 -> trunk/034e951b0cfb02d7b55327cd482e58cf2695dca0
2025-11-03T16:12:51.5215220Z  * [new tag]                 trunk/04d6a6f3392a87af8baf620dc0a323ffbb188c12 -> trunk/04d6a6f3392a87af8baf620dc0a323ffbb188c12
2025-11-03T16:12:51.5215570Z  * [new tag]                 trunk/0573747b6af273c6ac8cf9f1d81dc56066a57445 -> trunk/0573747b6af273c6ac8cf9f1d81dc56066a57445
2025-11-03T16:12:51.5215988Z  * [new tag]                 trunk/061fa73c97dcfcb39077ce8fc4042e7f22824b22 -> trunk/061fa73c97dcfcb39077ce8fc4042e7f22824b22
2025-11-03T16:12:51.5216681Z  * [new tag]                 trunk/0674e0a0f14775f920296e9dfb8b61e4960bf99d -> trunk/0674e0a0f14775f920296e9dfb8b61e4960bf99d
2025-11-03T16:12:51.5216963Z  * [new tag]                 trunk/06e71c85583d9857f716b441eef9db40d3f27a39 -> trunk/06e71c85583d9857f716b441eef9db40d3f27a39
2025-11-03T16:12:51.5217458Z  * [new tag]                 trunk/08ae55021eafba28b304e78ef2da9a76741ce039 -> trunk/08ae55021eafba28b304e78ef2da9a76741ce039
2025-11-03T16:12:51.5217905Z  * [new tag]                 trunk/08b0a8f11a00e0442bd3b3066617a501dca29876 -> trunk/08b0a8f11a00e0442bd3b3066617a501dca29876
2025-11-03T16:12:51.5218379Z  * [new tag]                 trunk/08f4535378b9ab5c7ba74828bb20ad535e6de8eb -> trunk/08f4535378b9ab5c7ba74828bb20ad535e6de8eb
2025-11-03T16:12:51.5218823Z  * [new tag]                 trunk/0918bf321c2cfaebb91c5f9e5f0ebe462962328e -> trunk/0918bf321c2cfaebb91c5f9e5f0ebe462962328e
2025-11-03T16:12:51.5219641Z  * [new tag]                 trunk/0947765eb9208996f221dbcb088df800be3953d7 -> trunk/0947765eb9208996f221dbcb088df800be3953d7
2025-11-03T16:12:51.5219979Z  * [new tag]                 trunk/0a3ac47c0a36d7ed619e6577294648a7c14b1ae1 -> trunk/0a3ac47c0a36d7ed619e6577294648a7c14b1ae1
2025-11-03T16:12:51.5220438Z  * [new tag]                 trunk/0ae3e306217a67362371267bbba0ac3fa0855fdc -> trunk/0ae3e306217a67362371267bbba0ac3fa0855fdc
2025-11-03T16:12:51.5220873Z  * [new tag]                 trunk/0d3a4f7155508656bd928527840ed155e8b1a88b -> trunk/0d3a4f7155508656bd928527840ed155e8b1a88b
2025-11-03T16:12:51.5221358Z  * [new tag]                 trunk/0d4992c1702d9d14bc73c29d44029adb7e698eba -> trunk/0d4992c1702d9d14bc73c29d44029adb7e698eba
2025-11-03T16:12:51.5221763Z  * [new tag]                 trunk/0d50e5d8d4132cb09508b3e35701e7b06433420e -> trunk/0d50e5d8d4132cb09508b3e35701e7b06433420e
2025-11-03T16:12:51.5222234Z  * [new tag]                 trunk/0d81bb7f9cef1b735ff373a245aaa2bc037b31b0 -> trunk/0d81bb7f9cef1b735ff373a245aaa2bc037b31b0
2025-11-03T16:12:51.5222873Z  * [new tag]                 trunk/0e19561e235372a3fbed81338fa4e674116c0448 -> trunk/0e19561e235372a3fbed81338fa4e674116c0448
2025-11-03T16:12:51.5223139Z  * [new tag]                 trunk/0e46a10aa7cf69354a0a0cbd268506b53a7cc882 -> trunk/0e46a10aa7cf69354a0a0cbd268506b53a7cc882
2025-11-03T16:12:51.5223634Z  * [new tag]                 trunk/0eacd934bc1c1bee002fcd084300d596d789d166 -> trunk/0eacd934bc1c1bee002fcd084300d596d789d166
2025-11-03T16:12:51.5224099Z  * [new tag]                 trunk/0ec054982304473b51e6ded40c2dc3993d4036be -> trunk/0ec054982304473b51e6ded40c2dc3993d4036be
2025-11-03T16:12:51.5224603Z  * [new tag]                 trunk/108bb224f77842593009214ebf6258030b934642 -> trunk/108bb224f77842593009214ebf6258030b934642
2025-11-03T16:12:51.5224967Z  * [new tag]                 trunk/110efe4df4759006ce5aad4ae1b87d93dcf33c3b -> trunk/110efe4df4759006ce5aad4ae1b87d93dcf33c3b
2025-11-03T16:12:51.5225353Z  * [new tag]                 trunk/112960541529ab0d27bb8aa8b487ef194e048494 -> trunk/112960541529ab0d27bb8aa8b487ef194e048494
2025-11-03T16:12:51.5225990Z  * [new tag]                 trunk/121235956bab7430fb8d080cee209607f8387ead -> trunk/121235956bab7430fb8d080cee209607f8387ead
2025-11-03T16:12:51.5226481Z  * [new tag]                 trunk/12577064dddfc6f5daf66c5b5a73cb418a588f20 -> trunk/12577064dddfc6f5daf66c5b5a73cb418a588f20
2025-11-03T16:12:51.5226890Z  * [new tag]                 trunk/12c12466b082834d23c1f512130da9280badfd28 -> trunk/12c12466b082834d23c1f512130da9280badfd28
2025-11-03T16:12:51.5227391Z  * [new tag]                 trunk/13413b3b07cc72fa9c2671b2535f7e54c1b30ca2 -> trunk/13413b3b07cc72fa9c2671b2535f7e54c1b30ca2
2025-11-03T16:12:51.5227850Z  * [new tag]                 trunk/13549e0e105291721f6f80ceb8f520ca272b971d -> trunk/13549e0e105291721f6f80ceb8f520ca272b971d
2025-11-03T16:12:51.5228276Z  * [new tag]                 trunk/14102fb1f337d01ca61584011f5f657d14da5de6 -> trunk/14102fb1f337d01ca61584011f5f657d14da5de6
2025-11-03T16:12:51.5228748Z  * [new tag]                 trunk/1425b40f29ab11ce21f7a98de9e35551213efe27 -> trunk/1425b40f29ab11ce21f7a98de9e35551213efe27
2025-11-03T16:12:51.5229232Z  * [new tag]                 trunk/14d4a77495dc80da9cd7c5c29b21aaf4613ddc5b -> trunk/14d4a77495dc80da9cd7c5c29b21aaf4613ddc5b
2025-11-03T16:12:51.5229616Z  * [new tag]                 trunk/160ab53dd57e67b3574763615cf8b33249e9afa5 -> trunk/160ab53dd57e67b3574763615cf8b33249e9afa5
2025-11-03T16:12:51.5230041Z  * [new tag]                 trunk/16212f0d6bc1c4fb6ac0498badbe2fb74d5ff47b -> trunk/16212f0d6bc1c4fb6ac0498badbe2fb74d5ff47b
2025-11-03T16:12:51.5230556Z  * [new tag]                 trunk/1656b253c5fcc34a53a9991303170892c6d90c1d -> trunk/1656b253c5fcc34a53a9991303170892c6d90c1d
2025-11-03T16:12:51.5231006Z  * [new tag]                 trunk/173bcda436e9a00aa8215a414efc0c06cf4840a8 -> trunk/173bcda436e9a00aa8215a414efc0c06cf4840a8
2025-11-03T16:12:51.5231440Z  * [new tag]                 trunk/1764f3a9c8eea4cf0aba853348446948597b7b78 -> trunk/1764f3a9c8eea4cf0aba853348446948597b7b78
2025-11-03T16:12:51.5232123Z  * [new tag]                 trunk/17bdb232e1b3df3435fc6f54d3d713404ba96726 -> trunk/17bdb232e1b3df3435fc6f54d3d713404ba96726
2025-11-03T16:12:51.5232511Z  * [new tag]                 trunk/17d5aa47674c5195a3d4919169fb6a334598e2a6 -> trunk/17d5aa47674c5195a3d4919169fb6a334598e2a6
2025-11-03T16:12:51.5232953Z  * [new tag]                 trunk/181ee3bd42447b71a1a8435bf16c0877c4bc3ae7 -> trunk/181ee3bd42447b71a1a8435bf16c0877c4bc3ae7
2025-11-03T16:12:51.5233253Z  * [new tag]                 trunk/18f425962656f009e151944d12f76e2f856b85df -> trunk/18f425962656f009e151944d12f76e2f856b85df
2025-11-03T16:12:51.5233760Z  * [new tag]                 trunk/1abfa5f70b9aa0dcbd83dc40b092dda1cdcc7805 -> trunk/1abfa5f70b9aa0dcbd83dc40b092dda1cdcc7805
2025-11-03T16:12:51.5234236Z  * [new tag]                 trunk/1aef88c72d3aef629b20e97a188c9dc4bab46a1a -> trunk/1aef88c72d3aef629b20e97a188c9dc4bab46a1a
2025-11-03T16:12:51.5234656Z  * [new tag]                 trunk/1b655a87ef137d2cc9603a982532c5e033432daa -> trunk/1b655a87ef137d2cc9603a982532c5e033432daa
2025-11-03T16:12:51.5235114Z  * [new tag]                 trunk/1c4ced2eafa470832f2f4e24487785c5b7b188c9 -> trunk/1c4ced2eafa470832f2f4e24487785c5b7b188c9
2025-11-03T16:12:51.5235586Z  * [new tag]                 trunk/1dd6b76914397d466a7d9bfff551b6d8299fdce4 -> trunk/1dd6b76914397d466a7d9bfff551b6d8299fdce4
2025-11-03T16:12:51.5236255Z  * [new tag]                 trunk/1dec8a67a8dc88736e9c476a3eaee301684094cd -> trunk/1dec8a67a8dc88736e9c476a3eaee301684094cd
2025-11-03T16:12:51.5236654Z  * [new tag]                 trunk/1e3600b5287346b29a835ad67f8b33945e0ec698 -> trunk/1e3600b5287346b29a835ad67f8b33945e0ec698
2025-11-03T16:12:51.5237046Z  * [new tag]                 trunk/1e836bc769f9cfabc7659a172b8c2edee7c375d3 -> trunk/1e836bc769f9cfabc7659a172b8c2edee7c375d3
2025-11-03T16:12:51.5237467Z  * [new tag]                 trunk/1fa520ea654f5fc0b3c65ce6e056dd73442dd65d -> trunk/1fa520ea654f5fc0b3c65ce6e056dd73442dd65d
2025-11-03T16:12:51.5237931Z  * [new tag]                 trunk/1fdef664a5dffc3bd3d9eba9d78ed458a5f9dbcb -> trunk/1fdef664a5dffc3bd3d9eba9d78ed458a5f9dbcb
2025-11-03T16:12:51.5238626Z  * [new tag]                 trunk/20be077085daf739af76325d04f649dcd908316c -> trunk/20be077085daf739af76325d04f649dcd908316c
2025-11-03T16:12:51.5238905Z  * [new tag]                 trunk/21b48f8dfa7685699df4c97c0ba373d5364230d9 -> trunk/21b48f8dfa7685699df4c97c0ba373d5364230d9
2025-11-03T16:12:51.5239368Z  * [new tag]                 trunk/23669d02a67023ef3192f7dca0ac0547436cae50 -> trunk/23669d02a67023ef3192f7dca0ac0547436cae50
2025-11-03T16:12:51.5239839Z  * [new tag]                 trunk/236ce736a1a84352b21b564e3e5b0be833d7c10c -> trunk/236ce736a1a84352b21b564e3e5b0be833d7c10c
2025-11-03T16:12:51.5240207Z  * [new tag]                 trunk/239e7b541a94d16a33a4a48d3edc9a561777d86a -> trunk/239e7b541a94d16a33a4a48d3edc9a561777d86a
2025-11-03T16:12:51.5240651Z  * [new tag]                 trunk/23b57a445c6394d46a6b46e32b7787663f40d13b -> trunk/23b57a445c6394d46a6b46e32b7787663f40d13b
2025-11-03T16:12:51.5241590Z  * [new tag]                 trunk/24b6eb7727f7eef078f9366302f2aa3e1fef1db4 -> trunk/24b6eb7727f7eef078f9366302f2aa3e1fef1db4
2025-11-03T16:12:51.5241941Z  * [new tag]                 trunk/24e94e021a5a96bf16397ea66243070a7be4aaef -> trunk/24e94e021a5a96bf16397ea66243070a7be4aaef
2025-11-03T16:12:51.5242412Z  * [new tag]                 trunk/26534e9809eb2f7cd804fde5152cdd13dda2293f -> trunk/26534e9809eb2f7cd804fde5152cdd13dda2293f
2025-11-03T16:12:51.5242781Z  * [new tag]                 trunk/267d0197bfca0232488d51dd1ff735d619adc2cf -> trunk/267d0197bfca0232488d51dd1ff735d619adc2cf
2025-11-03T16:12:51.5243255Z  * [new tag]                 trunk/2699f5410b6802277db724f145c281814d6c9ac4 -> trunk/2699f5410b6802277db724f145c281814d6c9ac4
2025-11-03T16:12:51.5243716Z  * [new tag]                 trunk/2829d48bd113043a98e81b4ab7fa0f3ca9ae0072 -> trunk/2829d48bd113043a98e81b4ab7fa0f3ca9ae0072
2025-11-03T16:12:51.5244216Z  * [new tag]                 trunk/284716a691580cf0508a7c5a4f9f7306a32092ad -> trunk/284716a691580cf0508a7c5a4f9f7306a32092ad
2025-11-03T16:12:51.5244573Z  * [new tag]                 trunk/298666631baa6634666ac4dd4599f1d52bafa718 -> trunk/298666631baa6634666ac4dd4599f1d52bafa718
2025-11-03T16:12:51.5245225Z  * [new tag]                 trunk/2a058bfecf4f4a47927b4eaae9324c4999a8a794 -> trunk/2a058bfecf4f4a47927b4eaae9324c4999a8a794
2025-11-03T16:12:51.5245577Z  * [new tag]                 trunk/2a5f87decf34b3d0ea7670238e2fd4620ed19e9f -> trunk/2a5f87decf34b3d0ea7670238e2fd4620ed19e9f
2025-11-03T16:12:51.5246051Z  * [new tag]                 trunk/2c9f877fa71c90a1313deeda4b4486d37e72a8a9 -> trunk/2c9f877fa71c90a1313deeda4b4486d37e72a8a9
2025-11-03T16:12:51.5246416Z  * [new tag]                 trunk/2ce894bb1d3e9698306b87091c900a72acac75ea -> trunk/2ce894bb1d3e9698306b87091c900a72acac75ea
2025-11-03T16:12:51.5246842Z  * [new tag]                 trunk/2dc56456cbb2645c37c3176b7d9a263933bdec27 -> trunk/2dc56456cbb2645c37c3176b7d9a263933bdec27
2025-11-03T16:12:51.5247346Z  * [new tag]                 trunk/2de4cf2102fdc35da00cc8070fdbcaf57198a576 -> trunk/2de4cf2102fdc35da00cc8070fdbcaf57198a576
2025-11-03T16:12:51.5247788Z  * [new tag]                 trunk/2df2c316e2929519a5bad029936e9e37ed637b12 -> trunk/2df2c316e2929519a5bad029936e9e37ed637b12
2025-11-03T16:12:51.5248306Z  * [new tag]                 trunk/30157d30f0e0db6a4fa7a2a3ea75e515645e36de -> trunk/30157d30f0e0db6a4fa7a2a3ea75e515645e36de
2025-11-03T16:12:51.5248812Z  * [new tag]                 trunk/3041ede082d3b0f33bec0cef5062eabc5173b446 -> trunk/3041ede082d3b0f33bec0cef5062eabc5173b446
2025-11-03T16:12:51.5249724Z  * [new tag]                 trunk/311ea0dec0c50f395e6dac7b3875e81ee243fceb -> trunk/311ea0dec0c50f395e6dac7b3875e81ee243fceb
2025-11-03T16:12:51.5250163Z  * [new tag]                 trunk/31e42eb732d32e71c9954d6b2104cf1d129370d5 -> trunk/31e42eb732d32e71c9954d6b2104cf1d129370d5
2025-11-03T16:12:51.5250795Z  * [new tag]                 trunk/32066772b3dee643b1657b8957f32b5ac8b1390a -> trunk/32066772b3dee643b1657b8957f32b5ac8b1390a
2025-11-03T16:12:51.5251132Z  * [new tag]                 trunk/32920926f07e573083ecf81a40c898f47f4df631 -> trunk/32920926f07e573083ecf81a40c898f47f4df631
2025-11-03T16:12:51.5251612Z  * [new tag]                 trunk/32fe4f681e2bfb2fdecf20027e29e1aeb6ad5297 -> trunk/32fe4f681e2bfb2fdecf20027e29e1aeb6ad5297
2025-11-03T16:12:51.5252092Z  * [new tag]                 trunk/335b5c7d4bf3295d517902370142f007ca024cd0 -> trunk/335b5c7d4bf3295d517902370142f007ca024cd0
2025-11-03T16:12:51.5252721Z  * [new tag]                 trunk/34d6ef7022be252ce18a9673f75eed1732dff22a -> trunk/34d6ef7022be252ce18a9673f75eed1732dff22a
2025-11-03T16:12:51.5253149Z  * [new tag]                 trunk/35f3572fa483a8edb101d5765564e1ae274f3d45 -> trunk/35f3572fa483a8edb101d5765564e1ae274f3d45
2025-11-03T16:12:51.5253605Z  * [new tag]                 trunk/365ed62f61dde7fc14dca2199692555e5d1abbe1 -> trunk/365ed62f61dde7fc14dca2199692555e5d1abbe1
2025-11-03T16:12:51.5254088Z  * [new tag]                 trunk/369f2d6951d4c12571eb03b95d74ef2f21296847 -> trunk/369f2d6951d4c12571eb03b95d74ef2f21296847
2025-11-03T16:12:51.5254553Z  * [new tag]                 trunk/36a48e7e6d2d01cd47f002140589a1ac2580ef3f -> trunk/36a48e7e6d2d01cd47f002140589a1ac2580ef3f
2025-11-03T16:12:51.5255048Z  * [new tag]                 trunk/3895ce093f3e71b768d032a28a949a9f390c0d00 -> trunk/3895ce093f3e71b768d032a28a949a9f390c0d00
2025-11-03T16:12:51.5255488Z  * [new tag]                 trunk/392acee68a5ca90279109df023583edaef73d50f -> trunk/392acee68a5ca90279109df023583edaef73d50f
2025-11-03T16:12:51.5255939Z  * [new tag]                 trunk/398775a43e9808205f75c81d36f5087117d3f3f4 -> trunk/398775a43e9808205f75c81d36f5087117d3f3f4
2025-11-03T16:12:51.5256575Z  * [new tag]                 trunk/398fdd32bbf7b5f8a2b67e637c8a2e46572d9f28 -> trunk/398fdd32bbf7b5f8a2b67e637c8a2e46572d9f28
2025-11-03T16:12:51.5256928Z  * [new tag]                 trunk/39e5cdddf7e57881c52473d1288a66f0222527e1 -> trunk/39e5cdddf7e57881c52473d1288a66f0222527e1
2025-11-03T16:12:51.5257387Z  * [new tag]                 trunk/3b4315940d371385674f957f810cb0f1ca0060bd -> trunk/3b4315940d371385674f957f810cb0f1ca0060bd
2025-11-03T16:12:51.5257841Z  * [new tag]                 trunk/3b5d38a3bc55c32232cee8cf87e492c965f276fd -> trunk/3b5d38a3bc55c32232cee8cf87e492c965f276fd
2025-11-03T16:12:51.5258280Z  * [new tag]                 trunk/3ca216ae172e35adde34a319a1a01faaf218e7c5 -> trunk/3ca216ae172e35adde34a319a1a01faaf218e7c5
2025-11-03T16:12:51.5258930Z  * [new tag]                 trunk/3cc5949dc2c6e588d42cff36121819a8539902a7 -> trunk/3cc5949dc2c6e588d42cff36121819a8539902a7
2025-11-03T16:12:51.5259247Z  * [new tag]                 trunk/3d4a2d8a93ad57e9fd1c4e5a03dd431dd0123bb3 -> trunk/3d4a2d8a93ad57e9fd1c4e5a03dd431dd0123bb3
2025-11-03T16:12:51.5259711Z  * [new tag]                 trunk/3d4ca228beb851e2f1cc24d8300804d5884973c1 -> trunk/3d4ca228beb851e2f1cc24d8300804d5884973c1
2025-11-03T16:12:51.5260186Z  * [new tag]                 trunk/3dc92d69ed40fd952244e54bbda0240928756654 -> trunk/3dc92d69ed40fd952244e54bbda0240928756654
2025-11-03T16:12:51.5260661Z  * [new tag]                 trunk/3eddf049221fc04c2ac9d4af53c00305484ef325 -> trunk/3eddf049221fc04c2ac9d4af53c00305484ef325
2025-11-03T16:12:51.5261111Z  * [new tag]                 trunk/3f1824742cac2ffb9a3afd90953c492c6c7f2f50 -> trunk/3f1824742cac2ffb9a3afd90953c492c6c7f2f50
2025-11-03T16:12:51.5261459Z  * [new tag]                 trunk/3f5401020b3fd66238a5eda31576b898d086e14e -> trunk/3f5401020b3fd66238a5eda31576b898d086e14e
2025-11-03T16:12:51.5261948Z  * [new tag]                 trunk/3f6538febd727b782e6e13cfd026a309fb14351d -> trunk/3f6538febd727b782e6e13cfd026a309fb14351d
2025-11-03T16:12:51.5262400Z  * [new tag]                 trunk/3f69b4d9b46b1de627896c457bce1937e53d82e5 -> trunk/3f69b4d9b46b1de627896c457bce1937e53d82e5
2025-11-03T16:12:51.5262885Z  * [new tag]                 trunk/401c2f965726fda8f78b08f3745e11008b38e7bf -> trunk/401c2f965726fda8f78b08f3745e11008b38e7bf
2025-11-03T16:12:51.5263232Z  * [new tag]                 trunk/4295a9a1587cc62a3ef4ad9b1e552c78471d5664 -> trunk/4295a9a1587cc62a3ef4ad9b1e552c78471d5664
2025-11-03T16:12:51.5263927Z  * [new tag]                 trunk/4316df857c9e7f301142eb54d06a85a43f8d617b -> trunk/4316df857c9e7f301142eb54d06a85a43f8d617b
2025-11-03T16:12:51.5264334Z  * [new tag]                 trunk/43c30f607eeca0d3e9a26911d9c2131fc250eadd -> trunk/43c30f607eeca0d3e9a26911d9c2131fc250eadd
2025-11-03T16:12:51.5264816Z  * [new tag]                 trunk/45c3f02d69b0a8447381fbc3f3f8731ab0d48ed1 -> trunk/45c3f02d69b0a8447381fbc3f3f8731ab0d48ed1
2025-11-03T16:12:51.5265275Z  * [new tag]                 trunk/467c21ad9ae4133c20a3c098a0355e9ac20d48aa -> trunk/467c21ad9ae4133c20a3c098a0355e9ac20d48aa
2025-11-03T16:12:51.5265719Z  * [new tag]                 trunk/46d17e887150c5de8a74314b6d9fcba1feca259b -> trunk/46d17e887150c5de8a74314b6d9fcba1feca259b
2025-11-03T16:12:51.5266350Z  * [new tag]                 trunk/476b149a00cf52ceba2b2d8b6e14989d2bf540e2 -> trunk/476b149a00cf52ceba2b2d8b6e14989d2bf540e2
2025-11-03T16:12:51.5266632Z  * [new tag]                 trunk/47ec1e9990b89bf9705dc463cad587bd357bc848 -> trunk/47ec1e9990b89bf9705dc463cad587bd357bc848
2025-11-03T16:12:51.5267063Z  * [new tag]                 trunk/47f00243106918eec3ef9119272977fdf2864ad8 -> trunk/47f00243106918eec3ef9119272977fdf2864ad8
2025-11-03T16:12:51.5267503Z  * [new tag]                 trunk/47f50cfd456313d8b46fcc7a1f6de477aa0a5aee -> trunk/47f50cfd456313d8b46fcc7a1f6de477aa0a5aee
2025-11-03T16:12:51.5267858Z  * [new tag]                 trunk/483845a9c42267a6a139b7382e5ee340502376f8 -> trunk/483845a9c42267a6a139b7382e5ee340502376f8
2025-11-03T16:12:51.5268352Z  * [new tag]                 trunk/48c3b71ecc245cb422ec9ab4c7a2078f7ef0b3df -> trunk/48c3b71ecc245cb422ec9ab4c7a2078f7ef0b3df
2025-11-03T16:12:51.5269055Z  * [new tag]                 trunk/48e672d14994c912caccba0c7f2f5df54c0d86b3 -> trunk/48e672d14994c912caccba0c7f2f5df54c0d86b3
2025-11-03T16:12:51.5269483Z  * [new tag]                 trunk/4a7bc1d522bed4f3f792b4641372ec3d06b79b5d -> trunk/4a7bc1d522bed4f3f792b4641372ec3d06b79b5d
2025-11-03T16:12:51.5269989Z  * [new tag]                 trunk/4a7fefd7c783913b811f49e5d6242086758dca6c -> trunk/4a7fefd7c783913b811f49e5d6242086758dca6c
2025-11-03T16:12:51.5270465Z  * [new tag]                 trunk/4a94591321a62b31658f9259680de87e4be9e50d -> trunk/4a94591321a62b31658f9259680de87e4be9e50d
2025-11-03T16:12:51.5270923Z  * [new tag]                 trunk/4acc66f1192ab7743abcc50383aefc5447447f9d -> trunk/4acc66f1192ab7743abcc50383aefc5447447f9d
2025-11-03T16:12:51.5271408Z  * [new tag]                 trunk/4c38887346b6a6185bb3e170621dc13d5f34e9ce -> trunk/4c38887346b6a6185bb3e170621dc13d5f34e9ce
2025-11-03T16:12:51.5271920Z  * [new tag]                 trunk/4cc64d62346edb2e13320f20740f41ba41f64c70 -> trunk/4cc64d62346edb2e13320f20740f41ba41f64c70
2025-11-03T16:12:51.5272363Z  * [new tag]                 trunk/4e6afa8c07b73e0b339e3baacbc73102748e61dd -> trunk/4e6afa8c07b73e0b339e3baacbc73102748e61dd
2025-11-03T16:12:51.5272829Z  * [new tag]                 trunk/4e7232c5daf753e04e8f4189229e3c33888a33e5 -> trunk/4e7232c5daf753e04e8f4189229e3c33888a33e5
2025-11-03T16:12:51.5273351Z  * [new tag]                 trunk/4e8ba37ce3320cac033019131b817b4aca29699b -> trunk/4e8ba37ce3320cac033019131b817b4aca29699b
2025-11-03T16:12:51.5273813Z  * [new tag]                 trunk/4fada51ada8b3190971f2f47d97346057320866a -> trunk/4fada51ada8b3190971f2f47d97346057320866a
2025-11-03T16:12:51.5274330Z  * [new tag]                 trunk/5016e7b2eb73589e35c7a8f0f0ea3bfba221f17d -> trunk/5016e7b2eb73589e35c7a8f0f0ea3bfba221f17d
2025-11-03T16:12:51.5274874Z  * [new tag]                 trunk/51667435f50c025ca3655ff0eeb917b4ef0ffb78 -> trunk/51667435f50c025ca3655ff0eeb917b4ef0ffb78
2025-11-03T16:12:51.5275310Z  * [new tag]                 trunk/52db60170dd192afa48233f03574a8d8bcd39d35 -> trunk/52db60170dd192afa48233f03574a8d8bcd39d35
2025-11-03T16:12:51.5275805Z  * [new tag]                 trunk/544b443ea1d1a9b19e65f981168a01cb87a2d333 -> trunk/544b443ea1d1a9b19e65f981168a01cb87a2d333
2025-11-03T16:12:51.5276271Z  * [new tag]                 trunk/551921d484d209e9a95d77262b1472bc1d18422d -> trunk/551921d484d209e9a95d77262b1472bc1d18422d
2025-11-03T16:12:51.5276772Z  * [new tag]                 trunk/56838bad5f197d32c0ee77ce2eaa7a0cb462af68 -> trunk/56838bad5f197d32c0ee77ce2eaa7a0cb462af68
2025-11-03T16:12:51.5277261Z  * [new tag]                 trunk/56a809aa0765ec2edea57ab37f92b1e78a214dcc -> trunk/56a809aa0765ec2edea57ab37f92b1e78a214dcc
2025-11-03T16:12:51.5277948Z  * [new tag]                 trunk/56afad4eb300be2008d8b24581bcddcd62021036 -> trunk/56afad4eb300be2008d8b24581bcddcd62021036
2025-11-03T16:12:51.5278432Z  * [new tag]                 trunk/572cc12b42f6edf76affd45ea9a23f4c8db5c7e1 -> trunk/572cc12b42f6edf76affd45ea9a23f4c8db5c7e1
2025-11-03T16:12:51.5278887Z  * [new tag]                 trunk/5849eea129b47556630aac4276529afe287b91e1 -> trunk/5849eea129b47556630aac4276529afe287b91e1
2025-11-03T16:12:51.5279406Z  * [new tag]                 trunk/59ddfb69a731970bf5762fbea43ff2987425d3ea -> trunk/59ddfb69a731970bf5762fbea43ff2987425d3ea
2025-11-03T16:12:51.5280066Z  * [new tag]                 trunk/5a3930abbc19eac9a179455df82e206e69765ed2 -> trunk/5a3930abbc19eac9a179455df82e206e69765ed2
2025-11-03T16:12:51.5280889Z  * [new tag]                 trunk/5bcfdae71da2f405a89bace6b09d616107cc3965 -> trunk/5bcfdae71da2f405a89bace6b09d616107cc3965
2025-11-03T16:12:51.5281266Z  * [new tag]                 trunk/5cbdade914d6bc9f67827ef917974980a74e9372 -> trunk/5cbdade914d6bc9f67827ef917974980a74e9372
2025-11-03T16:12:51.5281729Z  * [new tag]                 trunk/5cdbcb52334222d1a2667dabd6da993d1e9ddc93 -> trunk/5cdbcb52334222d1a2667dabd6da993d1e9ddc93
2025-11-03T16:12:51.5282449Z  * [new tag]                 trunk/5d0b3e28dc18fac3c09edb24078998371f878f82 -> trunk/5d0b3e28dc18fac3c09edb24078998371f878f82
2025-11-03T16:12:51.5282803Z  * [new tag]                 trunk/5d288bc3f73873887f681e15af83c5525e6a60bd -> trunk/5d288bc3f73873887f681e15af83c5525e6a60bd
2025-11-03T16:12:51.5283214Z  * [new tag]                 trunk/5d6230779d920e9c449c22d22fd0f69fe7b73632 -> trunk/5d6230779d920e9c449c22d22fd0f69fe7b73632
2025-11-03T16:12:51.5283710Z  * [new tag]                 trunk/5e05a0ae99c320bc570a3a42c5fcd6bbf2b2e9b4 -> trunk/5e05a0ae99c320bc570a3a42c5fcd6bbf2b2e9b4
2025-11-03T16:12:51.5284086Z  * [new tag]                 trunk/5e7272b60a5d7203fd1d048ecac6f202526cac63 -> trunk/5e7272b60a5d7203fd1d048ecac6f202526cac63
2025-11-03T16:12:51.5284597Z  * [new tag]                 trunk/5e769ff86780a7ffd561615dbf4b0defe80cfbb9 -> trunk/5e769ff86780a7ffd561615dbf4b0defe80cfbb9
2025-11-03T16:12:51.5285097Z  * [new tag]                 trunk/5ebf74a655b3335fb079ee03f41228a77bcc630e -> trunk/5ebf74a655b3335fb079ee03f41228a77bcc630e
2025-11-03T16:12:51.5285576Z  * [new tag]                 trunk/5fc2c7a2a11444c31338da9134452810f3ca8acd -> trunk/5fc2c7a2a11444c31338da9134452810f3ca8acd
2025-11-03T16:12:51.5286094Z  * [new tag]                 trunk/5fd1d41e62ce4436c2bb08c7f4702df0021e2c62 -> trunk/5fd1d41e62ce4436c2bb08c7f4702df0021e2c62
2025-11-03T16:12:51.5286566Z  * [new tag]                 trunk/60333de85dec845d6a0e651764c16a730a27828d -> trunk/60333de85dec845d6a0e651764c16a730a27828d
2025-11-03T16:12:51.5287069Z  * [new tag]                 trunk/6096c0fc746dc99189510a1845fd45c667178c03 -> trunk/6096c0fc746dc99189510a1845fd45c667178c03
2025-11-03T16:12:51.5287596Z  * [new tag]                 trunk/60bcb4ee8844e7bac7278ff662c7d5735a326758 -> trunk/60bcb4ee8844e7bac7278ff662c7d5735a326758
2025-11-03T16:12:51.5288058Z  * [new tag]                 trunk/610c09f8f47585e811945e48abc895f88e09bda3 -> trunk/610c09f8f47585e811945e48abc895f88e09bda3
2025-11-03T16:12:51.5288561Z  * [new tag]                 trunk/61bad3c1ea718311d7c256b05614d207d73276e8 -> trunk/61bad3c1ea718311d7c256b05614d207d73276e8
2025-11-03T16:12:51.5288993Z  * [new tag]                 trunk/61bcc8d75ad065a40b2d7953046616d5979233b9 -> trunk/61bcc8d75ad065a40b2d7953046616d5979233b9
2025-11-03T16:12:51.5289863Z  * [new tag]                 trunk/6268883f9c081b88b611ef01be3821503ad180ca -> trunk/6268883f9c081b88b611ef01be3821503ad180ca
2025-11-03T16:12:51.5290291Z  * [new tag]                 trunk/629293f568229adaf60cdaf57fe69306d7782c2d -> trunk/629293f568229adaf60cdaf57fe69306d7782c2d
2025-11-03T16:12:51.5290795Z  * [new tag]                 trunk/639a0b12395e72a8a220dc8443317f4ab3b3f1a0 -> trunk/639a0b12395e72a8a220dc8443317f4ab3b3f1a0
2025-11-03T16:12:51.5291442Z  * [new tag]                 trunk/6530bc70fbc7d600ab0e600c02ecd9b341ce8237 -> trunk/6530bc70fbc7d600ab0e600c02ecd9b341ce8237
2025-11-03T16:12:51.5291880Z  * [new tag]                 trunk/657f8c3e21bd8901dd8ce79ca9a54a45b27f604f -> trunk/657f8c3e21bd8901dd8ce79ca9a54a45b27f604f
2025-11-03T16:12:51.5292370Z  * [new tag]                 trunk/65868156c613521e9635eb3f8eb3f404826ac1f9 -> trunk/65868156c613521e9635eb3f8eb3f404826ac1f9
2025-11-03T16:12:51.5293022Z  * [new tag]                 trunk/687c15c0b3f01118536413d21efcd052838fa10d -> trunk/687c15c0b3f01118536413d21efcd052838fa10d
2025-11-03T16:12:51.5293409Z  * [new tag]                 trunk/68b3984b77a19ed2b2afcbcae201e8b06e20f8bc -> trunk/68b3984b77a19ed2b2afcbcae201e8b06e20f8bc
2025-11-03T16:12:51.5293896Z  * [new tag]                 trunk/694d205143b03cb26626cb86ecb399df6d5e3dd8 -> trunk/694d205143b03cb26626cb86ecb399df6d5e3dd8
2025-11-03T16:12:51.5294380Z  * [new tag]                 trunk/694db5f54927697c9e914d35029f7e5bd9b85b96 -> trunk/694db5f54927697c9e914d35029f7e5bd9b85b96
2025-11-03T16:12:51.5295031Z  * [new tag]                 trunk/695cb0d342f67db563fb57ce1a5f3261b073b790 -> trunk/695cb0d342f67db563fb57ce1a5f3261b073b790
2025-11-03T16:12:51.5295483Z  * [new tag]                 trunk/69be99ee51bd0439fead4c83d1ed3eea9e1e073e -> trunk/69be99ee51bd0439fead4c83d1ed3eea9e1e073e
2025-11-03T16:12:51.5295988Z  * [new tag]                 trunk/69fb3ebb5dbec0bd4cfd73cc9a6c870b7f604840 -> trunk/69fb3ebb5dbec0bd4cfd73cc9a6c870b7f604840
2025-11-03T16:12:51.5296452Z  * [new tag]                 trunk/6a5a436624d08feff1de191e61eb4d4773f73bdb -> trunk/6a5a436624d08feff1de191e61eb4d4773f73bdb
2025-11-03T16:12:51.5296943Z  * [new tag]                 trunk/6c7cad697287dff7e47545ae4b1df1e407185868 -> trunk/6c7cad697287dff7e47545ae4b1df1e407185868
2025-11-03T16:12:51.5297423Z  * [new tag]                 trunk/6d5e651a5024acdbaf9633d9d1d9dc33c6a283c5 -> trunk/6d5e651a5024acdbaf9633d9d1d9dc33c6a283c5
2025-11-03T16:12:51.5297817Z  * [new tag]                 trunk/6ecd6b23b6d2ab17da269ceebe9f944153f67083 -> trunk/6ecd6b23b6d2ab17da269ceebe9f944153f67083
2025-11-03T16:12:51.5298290Z  * [new tag]                 trunk/7045aab143b6d89c2e7de11bc8cbf919d8fd78d0 -> trunk/7045aab143b6d89c2e7de11bc8cbf919d8fd78d0
2025-11-03T16:12:51.5298775Z  * [new tag]                 trunk/70aeb491987401a380914a72c1b9d19e4c882429 -> trunk/70aeb491987401a380914a72c1b9d19e4c882429
2025-11-03T16:12:51.5299205Z  * [new tag]                 trunk/7379972cc0e8a4b4d88b4bea5c8be0aeffdb076a -> trunk/7379972cc0e8a4b4d88b4bea5c8be0aeffdb076a
2025-11-03T16:12:51.5299635Z  * [new tag]                 trunk/73da7a40b6dd0509b179f0ca92d9fa79973ee306 -> trunk/73da7a40b6dd0509b179f0ca92d9fa79973ee306
2025-11-03T16:12:51.5300105Z  * [new tag]                 trunk/74336f8c77f1a906314c274e43239306c8077e90 -> trunk/74336f8c77f1a906314c274e43239306c8077e90
2025-11-03T16:12:51.5300598Z  * [new tag]                 trunk/748162223768fb9f7daaca1f7f93d0bc37be4de9 -> trunk/748162223768fb9f7daaca1f7f93d0bc37be4de9
2025-11-03T16:12:51.5301090Z  * [new tag]                 trunk/753d9bd8063356c0e31517ef9aabd814efd754c5 -> trunk/753d9bd8063356c0e31517ef9aabd814efd754c5
2025-11-03T16:12:51.5301822Z  * [new tag]                 trunk/7563f61cc8a40a5ba21a498a2d98895b4eec3f39 -> trunk/7563f61cc8a40a5ba21a498a2d98895b4eec3f39
2025-11-03T16:12:51.5302259Z  * [new tag]                 trunk/75f798e05b35cbdf1814673e745b9b7817bb29cd -> trunk/75f798e05b35cbdf1814673e745b9b7817bb29cd
2025-11-03T16:12:51.5302981Z  * [new tag]                 trunk/764c54ecaeb8b0da486b009f4d4ef1fa280e2517 -> trunk/764c54ecaeb8b0da486b009f4d4ef1fa280e2517
2025-11-03T16:12:51.5303219Z  * [new tag]                 trunk/76780b1a3d208b142f067bdd655e7d4c5615efe1 -> trunk/76780b1a3d208b142f067bdd655e7d4c5615efe1
2025-11-03T16:12:51.5303649Z  * [new tag]                 trunk/7692fa09cdd47fdbec66efca9edf42a318e6c6e4 -> trunk/7692fa09cdd47fdbec66efca9edf42a318e6c6e4
2025-11-03T16:12:51.5304133Z  * [new tag]                 trunk/76b2c37045e52540ec51e967aa7b6436a6b9b174 -> trunk/76b2c37045e52540ec51e967aa7b6436a6b9b174
2025-11-03T16:12:51.5304613Z  * [new tag]                 trunk/76bb27e248750fc558ec4ea9050e09a6f171e9bc -> trunk/76bb27e248750fc558ec4ea9050e09a6f171e9bc
2025-11-03T16:12:51.5305103Z  * [new tag]                 trunk/774abb018eb1d44c07fda9fa78549755ac7d4367 -> trunk/774abb018eb1d44c07fda9fa78549755ac7d4367
2025-11-03T16:12:51.5305625Z  * [new tag]                 trunk/791ca80d3a2ca72a77b5dedc75bbcbb35b859cfc -> trunk/791ca80d3a2ca72a77b5dedc75bbcbb35b859cfc
2025-11-03T16:12:51.5306153Z  * [new tag]                 trunk/797cd80b2670a51601f997f8c67387bd30440a36 -> trunk/797cd80b2670a51601f997f8c67387bd30440a36
2025-11-03T16:12:51.5306664Z  * [new tag]                 trunk/79aa88cc5dcc55597013cbe36f0e00557b185803 -> trunk/79aa88cc5dcc55597013cbe36f0e00557b185803
2025-11-03T16:12:51.5307183Z  * [new tag]                 trunk/79aee77381b21d41c77148e5ff84c4b351aaf144 -> trunk/79aee77381b21d41c77148e5ff84c4b351aaf144
2025-11-03T16:12:51.5307685Z  * [new tag]                 trunk/7a0cd8ed092a62123fcc1f4c40de2669f46fe2b1 -> trunk/7a0cd8ed092a62123fcc1f4c40de2669f46fe2b1
2025-11-03T16:12:51.5308157Z  * [new tag]                 trunk/7ae8aaf4c02e7cc14b2e3cce0c88a7333dff439c -> trunk/7ae8aaf4c02e7cc14b2e3cce0c88a7333dff439c
2025-11-03T16:12:51.5308617Z  * [new tag]                 trunk/7c203b8420d26bd707c6052f93a4ba77dca2b2c0 -> trunk/7c203b8420d26bd707c6052f93a4ba77dca2b2c0
2025-11-03T16:12:51.5309099Z  * [new tag]                 trunk/7ce723d21cc2a1a874f988f3459f0da834c75daa -> trunk/7ce723d21cc2a1a874f988f3459f0da834c75daa
2025-11-03T16:12:51.5309585Z  * [new tag]                 trunk/7d16fcf2df9b240895056107a015735774cbe4b5 -> trunk/7d16fcf2df9b240895056107a015735774cbe4b5
2025-11-03T16:12:51.5310096Z  * [new tag]                 trunk/7d39401fa07eb2f7782d8f234aa19f8b2abff481 -> trunk/7d39401fa07eb2f7782d8f234aa19f8b2abff481
2025-11-03T16:12:51.5310858Z  * [new tag]                 trunk/7d67a41db4801632d5862e99c79b766284dfd307 -> trunk/7d67a41db4801632d5862e99c79b766284dfd307
2025-11-03T16:12:51.5311292Z  * [new tag]                 trunk/7e3b9d105e3359e31fb252becb01d789a72dc8d9 -> trunk/7e3b9d105e3359e31fb252becb01d789a72dc8d9
2025-11-03T16:12:51.5311791Z  * [new tag]                 trunk/7f7a28046b5927ddbd8ef95d00aa1ca76f773bb1 -> trunk/7f7a28046b5927ddbd8ef95d00aa1ca76f773bb1
2025-11-03T16:12:51.5312442Z  * [new tag]                 trunk/80ba6e458ff2bd178da9ed62e27a61fe46e4252a -> trunk/80ba6e458ff2bd178da9ed62e27a61fe46e4252a
2025-11-03T16:12:51.5313512Z  * [new tag]                 trunk/8101fd46d4619d0f9ef69e5829d1ee6f77289b72 -> trunk/8101fd46d4619d0f9ef69e5829d1ee6f77289b72
2025-11-03T16:12:51.5313867Z  * [new tag]                 trunk/8110ce02a2830f562ed60607e30e2f29aed119dd -> trunk/8110ce02a2830f562ed60607e30e2f29aed119dd
2025-11-03T16:12:51.5314396Z  * [new tag]                 trunk/81fa4a204cf268bc55e96137fa803ae4938472cd -> trunk/81fa4a204cf268bc55e96137fa803ae4938472cd
2025-11-03T16:12:51.5314916Z  * [new tag]                 trunk/8209a0506b399b40a48716126ee22737aa4607c5 -> trunk/8209a0506b399b40a48716126ee22737aa4607c5
2025-11-03T16:12:51.5315385Z  * [new tag]                 trunk/8221ee6db9fd319c249087ad9bb9abaa7d56e113 -> trunk/8221ee6db9fd319c249087ad9bb9abaa7d56e113
2025-11-03T16:12:51.5316125Z  * [new tag]                 trunk/82d86bacf3c34760d6ab8a8a1eafa22d0ea259d9 -> trunk/82d86bacf3c34760d6ab8a8a1eafa22d0ea259d9
2025-11-03T16:12:51.5316407Z  * [new tag]                 trunk/82fafb3304f8baffdb2d54578926d8bb4aba621c -> trunk/82fafb3304f8baffdb2d54578926d8bb4aba621c
2025-11-03T16:12:51.5316904Z  * [new tag]                 trunk/82ff07c7884d478ddd5d638bebbb938e55c9bebf -> trunk/82ff07c7884d478ddd5d638bebbb938e55c9bebf
2025-11-03T16:12:51.5317380Z  * [new tag]                 trunk/83cc38d9c1b4371d4395bda8b6861b98986f527b -> trunk/83cc38d9c1b4371d4395bda8b6861b98986f527b
2025-11-03T16:12:51.5317765Z  * [new tag]                 trunk/840d63c12d255dac1ae3c5e442c6ea6eb87a7256 -> trunk/840d63c12d255dac1ae3c5e442c6ea6eb87a7256
2025-11-03T16:12:51.5318402Z  * [new tag]                 trunk/8417981c96b7577f0228226ccf76d23842173144 -> trunk/8417981c96b7577f0228226ccf76d23842173144
2025-11-03T16:12:51.5318820Z  * [new tag]                 trunk/845da9c8172b0e6e8b1e326359379dc6e9ddbddf -> trunk/845da9c8172b0e6e8b1e326359379dc6e9ddbddf
2025-11-03T16:12:51.5319306Z  * [new tag]                 trunk/84776e13744db6d59b41a063bb8714e2bffe7a06 -> trunk/84776e13744db6d59b41a063bb8714e2bffe7a06
2025-11-03T16:12:51.5319806Z  * [new tag]                 trunk/84a2715d341f068a26a281a252c3907bbe827d9b -> trunk/84a2715d341f068a26a281a252c3907bbe827d9b
2025-11-03T16:12:51.5320304Z  * [new tag]                 trunk/84fe84850383fc11e7150681742bf53f11cd425e -> trunk/84fe84850383fc11e7150681742bf53f11cd425e
2025-11-03T16:12:51.5320763Z  * [new tag]                 trunk/856a7a529872aa2d222e2491708cb458c682bb93 -> trunk/856a7a529872aa2d222e2491708cb458c682bb93
2025-11-03T16:12:51.5321247Z  * [new tag]                 trunk/85a7c745aa5a2428a7cc640ef4b304296fe07c42 -> trunk/85a7c745aa5a2428a7cc640ef4b304296fe07c42
2025-11-03T16:12:51.5322019Z  * [new tag]                 trunk/85b035ca9c230199d91ff86d362def01ad36dc67 -> trunk/85b035ca9c230199d91ff86d362def01ad36dc67
2025-11-03T16:12:51.5322669Z  * [new tag]                 trunk/85b85f6c2c7e6ca98abf9d9a38410d4b5703d64a -> trunk/85b85f6c2c7e6ca98abf9d9a38410d4b5703d64a
2025-11-03T16:12:51.5323104Z  * [new tag]                 trunk/877f126e353f537417c53bff073fc56d3faecd60 -> trunk/877f126e353f537417c53bff073fc56d3faecd60
2025-11-03T16:12:51.5323676Z  * [new tag]                 trunk/8887a33ede05c3e77286447a8ebd82b458878943 -> trunk/8887a33ede05c3e77286447a8ebd82b458878943
2025-11-03T16:12:51.5324114Z  * [new tag]                 trunk/895795f07cc0348ebe0b7e369d555b545d76eb9f -> trunk/895795f07cc0348ebe0b7e369d555b545d76eb9f
2025-11-03T16:12:51.5324643Z  * [new tag]                 trunk/8aa087a29dcb5eba4cffd6a452e7f327abfd14b2 -> trunk/8aa087a29dcb5eba4cffd6a452e7f327abfd14b2
2025-11-03T16:12:51.5325037Z  * [new tag]                 trunk/8af9ed08243222853cf8ebfc9177c5b1ea364d00 -> trunk/8af9ed08243222853cf8ebfc9177c5b1ea364d00
2025-11-03T16:12:51.5325527Z  * [new tag]                 trunk/8b188647cfdc1355070ccd5aaa18a8060d4f67bf -> trunk/8b188647cfdc1355070ccd5aaa18a8060d4f67bf
2025-11-03T16:12:51.5326005Z  * [new tag]                 trunk/8d4e48831e5abb6cbca8d97a2df6c47b770c303b -> trunk/8d4e48831e5abb6cbca8d97a2df6c47b770c303b
2025-11-03T16:12:51.5326724Z  * [new tag]                 trunk/8d599045cf4102e451a9e8a9ff215d053ebbe0e8 -> trunk/8d599045cf4102e451a9e8a9ff215d053ebbe0e8
2025-11-03T16:12:51.5327078Z  * [new tag]                 trunk/8e1e4ee8e0c43202085b47c9d2b05b2c0d13b368 -> trunk/8e1e4ee8e0c43202085b47c9d2b05b2c0d13b368
2025-11-03T16:12:51.5327706Z  * [new tag]                 trunk/8f40a0c634a65246889b478b7f14da7a448174a9 -> trunk/8f40a0c634a65246889b478b7f14da7a448174a9
2025-11-03T16:12:51.5328176Z  * [new tag]                 trunk/8f51556daa347041fc7ac06a832d2fdc62ca594d -> trunk/8f51556daa347041fc7ac06a832d2fdc62ca594d
2025-11-03T16:12:51.5328678Z  * [new tag]                 trunk/904abfc2ca285910b7b1458779bd9c63619f2f7d -> trunk/904abfc2ca285910b7b1458779bd9c63619f2f7d
2025-11-03T16:12:51.5329182Z  * [new tag]                 trunk/90519402c2006237f891289a0afdec804515aa73 -> trunk/90519402c2006237f891289a0afdec804515aa73
2025-11-03T16:12:51.5329699Z  * [new tag]                 trunk/90b30ebf7ecd7b0da9deeb35b165de9e28e90aff -> trunk/90b30ebf7ecd7b0da9deeb35b165de9e28e90aff
2025-11-03T16:12:51.5330233Z  * [new tag]                 trunk/90d7be35e980a39cb4044f8fefea33a6167e5733 -> trunk/90d7be35e980a39cb4044f8fefea33a6167e5733
2025-11-03T16:12:51.5330699Z  * [new tag]                 trunk/9139368b64ebcc32c8c1190fd114c7f4733e7c6d -> trunk/9139368b64ebcc32c8c1190fd114c7f4733e7c6d
2025-11-03T16:12:51.5331218Z  * [new tag]                 trunk/92381a5aa7c27b740d375dad2ff9ca7be3c1bc24 -> trunk/92381a5aa7c27b740d375dad2ff9ca7be3c1bc24
2025-11-03T16:12:51.5331905Z  * [new tag]                 trunk/924482a6f63305b0f00760170ad513305700b79c -> trunk/924482a6f63305b0f00760170ad513305700b79c
2025-11-03T16:12:51.5332322Z  * [new tag]                 trunk/9261a1fb128412201ef009d30844a2417364d73b -> trunk/9261a1fb128412201ef009d30844a2417364d73b
2025-11-03T16:12:51.5332811Z  * [new tag]                 trunk/93a70c717a5636505da0b4ccfbca0e111c88c6a8 -> trunk/93a70c717a5636505da0b4ccfbca0e111c88c6a8
2025-11-03T16:12:51.5333290Z  * [new tag]                 trunk/94eaeb9cb812744251cef11d147e93b00a633823 -> trunk/94eaeb9cb812744251cef11d147e93b00a633823
2025-11-03T16:12:51.5333662Z  * [new tag]                 trunk/94f2657c4b534136aa8958bc35d44ceac5ccd60c -> trunk/94f2657c4b534136aa8958bc35d44ceac5ccd60c
2025-11-03T16:12:51.5334289Z  * [new tag]                 trunk/9501405de686068c5d7d0e4eab21e3ef0b95cc73 -> trunk/9501405de686068c5d7d0e4eab21e3ef0b95cc73
2025-11-03T16:12:51.5334784Z  * [new tag]                 trunk/95b55347730b071d0b79df5ddd477db9c7f91fe4 -> trunk/95b55347730b071d0b79df5ddd477db9c7f91fe4
2025-11-03T16:12:51.5335213Z  * [new tag]                 trunk/96b61844a722d2ae8b1a2dc283a6c0060b40782e -> trunk/96b61844a722d2ae8b1a2dc283a6c0060b40782e
2025-11-03T16:12:51.5335708Z  * [new tag]                 trunk/972030fe2ef0a7500afb7acb86a5f971c30536b9 -> trunk/972030fe2ef0a7500afb7acb86a5f971c30536b9
2025-11-03T16:12:51.5336405Z  * [new tag]                 trunk/984e64b2cddecfe43501a7e01a1cce0c25473f54 -> trunk/984e64b2cddecfe43501a7e01a1cce0c25473f54
2025-11-03T16:12:51.5336770Z  * [new tag]                 trunk/98d640bb113a0b6a39c590bbe36873faeb71ceb0 -> trunk/98d640bb113a0b6a39c590bbe36873faeb71ceb0
2025-11-03T16:12:51.5337265Z  * [new tag]                 trunk/9901d4441862cc0be881f913e1a7f932f7cb0177 -> trunk/9901d4441862cc0be881f913e1a7f932f7cb0177
2025-11-03T16:12:51.5338010Z  * [new tag]                 trunk/9940e894ea9c4374691ec49eba96db0a3159a8ae -> trunk/9940e894ea9c4374691ec49eba96db0a3159a8ae
2025-11-03T16:12:51.5338449Z  * [new tag]                 trunk/9970fb97fff5fb5ab0f0f3acfa73558cc5c1618a -> trunk/9970fb97fff5fb5ab0f0f3acfa73558cc5c1618a
2025-11-03T16:12:51.5338981Z  * [new tag]                 trunk/99b05d1b786dc1f2448c23617bbb80d441a5d64a -> trunk/99b05d1b786dc1f2448c23617bbb80d441a5d64a
2025-11-03T16:12:51.5339469Z  * [new tag]                 trunk/99e07c39ec3e9cf4573da6e6737c3d0362bc6b13 -> trunk/99e07c39ec3e9cf4573da6e6737c3d0362bc6b13
2025-11-03T16:12:51.5339840Z  * [new tag]                 trunk/9a91486e453f300804c7031d0e904b0e2af7d802 -> trunk/9a91486e453f300804c7031d0e904b0e2af7d802
2025-11-03T16:12:51.5340481Z  * [new tag]                 trunk/9c22bbb2dce31b854e3387db77eaff501434f352 -> trunk/9c22bbb2dce31b854e3387db77eaff501434f352
2025-11-03T16:12:51.5340876Z  * [new tag]                 trunk/9d6597b1e9f95f4477e88c5bee473c2850c2e63f -> trunk/9d6597b1e9f95f4477e88c5bee473c2850c2e63f
2025-11-03T16:12:51.5341321Z  * [new tag]                 trunk/9ee1afbf66a6533c712956a3ba5e8f60c5875a74 -> trunk/9ee1afbf66a6533c712956a3ba5e8f60c5875a74
2025-11-03T16:12:51.5341785Z  * [new tag]                 trunk/9f9dbe0a9aa5e5c985f36ad6cc736b3fb3506056 -> trunk/9f9dbe0a9aa5e5c985f36ad6cc736b3fb3506056
2025-11-03T16:12:51.5342467Z  * [new tag]                 trunk/a04edcb27acc6e1dd0fc27233738e6dec718b109 -> trunk/a04edcb27acc6e1dd0fc27233738e6dec718b109
2025-11-03T16:12:51.5342746Z  * [new tag]                 trunk/a076b4d7ac09b7be59915a088b348bcbd952c8bd -> trunk/a076b4d7ac09b7be59915a088b348bcbd952c8bd
2025-11-03T16:12:51.5343267Z  * [new tag]                 trunk/a186aa8d6cc197054deba309605f4b75ca59899c -> trunk/a186aa8d6cc197054deba309605f4b75ca59899c
2025-11-03T16:12:51.5343744Z  * [new tag]                 trunk/a19e92d43355489c8d33325321e688a6e6182267 -> trunk/a19e92d43355489c8d33325321e688a6e6182267
2025-11-03T16:12:51.5344228Z  * [new tag]                 trunk/a1eb6b55387b6ae21cf9bcad76a471a2820fa1b0 -> trunk/a1eb6b55387b6ae21cf9bcad76a471a2820fa1b0
2025-11-03T16:12:51.5344710Z  * [new tag]                 trunk/a25818cf7ee2c0ed5c862dff214dc46a30211671 -> trunk/a25818cf7ee2c0ed5c862dff214dc46a30211671
2025-11-03T16:12:51.5345400Z  * [new tag]                 trunk/a2da69385abb4800732e698afacdddd78e9993aa -> trunk/a2da69385abb4800732e698afacdddd78e9993aa
2025-11-03T16:12:51.5346163Z  * [new tag]                 trunk/a3fe1825aa4d95707875ffa8f15fd00c3b94977d -> trunk/a3fe1825aa4d95707875ffa8f15fd00c3b94977d
2025-11-03T16:12:51.5346556Z  * [new tag]                 trunk/a4077b568f891f8cad948cc70cbb14043791d762 -> trunk/a4077b568f891f8cad948cc70cbb14043791d762
2025-11-03T16:12:51.5346971Z  * [new tag]                 trunk/a4a0378e6bb8afd774e4e253304cf3bf9d7e188a -> trunk/a4a0378e6bb8afd774e4e253304cf3bf9d7e188a
2025-11-03T16:12:51.5347455Z  * [new tag]                 trunk/a51f8772873bc91de8aad1ce865fe8d98a58aec7 -> trunk/a51f8772873bc91de8aad1ce865fe8d98a58aec7
2025-11-03T16:12:51.5347882Z  * [new tag]                 trunk/a5335263d32b5be2b2647661334d81225c3cc3fc -> trunk/a5335263d32b5be2b2647661334d81225c3cc3fc
2025-11-03T16:12:51.5348374Z  * [new tag]                 trunk/a553ea9ea4e71b66a58a1c3c37f18d67ffa4ecd3 -> trunk/a553ea9ea4e71b66a58a1c3c37f18d67ffa4ecd3
2025-11-03T16:12:51.5348748Z  * [new tag]                 trunk/a5c3c08d1099f96548398a637463efb0cbe115ae -> trunk/a5c3c08d1099f96548398a637463efb0cbe115ae
2025-11-03T16:12:51.5349235Z  * [new tag]                 trunk/a5f00077fc9623c762c755c926b7eee60eb0ec3f -> trunk/a5f00077fc9623c762c755c926b7eee60eb0ec3f
2025-11-03T16:12:51.5349726Z  * [new tag]                 trunk/a663eb9c80e92190832b3dd616f138f938f51525 -> trunk/a663eb9c80e92190832b3dd616f138f938f51525
2025-11-03T16:12:51.5350244Z  * [new tag]                 trunk/a6b1ef17173f56ba93ac97ff4384fa4060b5e41e -> trunk/a6b1ef17173f56ba93ac97ff4384fa4060b5e41e
2025-11-03T16:12:51.5350708Z  * [new tag]                 trunk/a76b59cc45a17b728d9da6f937c8a9ab537c657f -> trunk/a76b59cc45a17b728d9da6f937c8a9ab537c657f
2025-11-03T16:12:51.5351214Z  * [new tag]                 trunk/a77f5d9a005a789804fc4d5064036490db5f48fb -> trunk/a77f5d9a005a789804fc4d5064036490db5f48fb
2025-11-03T16:12:51.5351683Z  * [new tag]                 trunk/a7fd0b40018da3c692f74257fc9b1d8cc5c410ff -> trunk/a7fd0b40018da3c692f74257fc9b1d8cc5c410ff
2025-11-03T16:12:51.5352369Z  * [new tag]                 trunk/a988510c3396a668e92801c61b93f7b06219ad0e -> trunk/a988510c3396a668e92801c61b93f7b06219ad0e
2025-11-03T16:12:51.5352804Z  * [new tag]                 trunk/a9b29caeae77480abaee14c89cff19f2c23921a1 -> trunk/a9b29caeae77480abaee14c89cff19f2c23921a1
2025-11-03T16:12:51.5353344Z  * [new tag]                 trunk/aa9c96af041b26c9c55adac490f3449b98f27d06 -> trunk/aa9c96af041b26c9c55adac490f3449b98f27d06
2025-11-03T16:12:51.5353822Z  * [new tag]                 trunk/aab27b051a5e24e71931ef0386f9084d51347211 -> trunk/aab27b051a5e24e71931ef0386f9084d51347211
2025-11-03T16:12:51.5357655Z  * [new tag]                 trunk/ac841267a197e102e1800786b3f6bfcd068b3d85 -> trunk/ac841267a197e102e1800786b3f6bfcd068b3d85
2025-11-03T16:12:51.5358148Z  * [new tag]                 trunk/acd936cc1a53b3c97f1265b6e40e2c09ba0a182d -> trunk/acd936cc1a53b3c97f1265b6e40e2c09ba0a182d
2025-11-03T16:12:51.5358755Z  * [new tag]                 trunk/ad02bd13dfa017f69def846b265a566c4ec5cb3f -> trunk/ad02bd13dfa017f69def846b265a566c4ec5cb3f
2025-11-03T16:12:51.5359444Z  * [new tag]                 trunk/ad3a56ab9857905cdc8f62fb635d578982797c73 -> trunk/ad3a56ab9857905cdc8f62fb635d578982797c73
2025-11-03T16:12:51.5359872Z  * [new tag]                 trunk/ad559072db0cc68aad277380d20bacfdf0d944ac -> trunk/ad559072db0cc68aad277380d20bacfdf0d944ac
2025-11-03T16:12:51.5360305Z  * [new tag]                 trunk/add37bacda45d7de852dedee652346f2857df6fc -> trunk/add37bacda45d7de852dedee652346f2857df6fc
2025-11-03T16:12:51.5360900Z  * [new tag]                 trunk/adedf26e21d1ce835750c99464b3ffa0f6b38fd0 -> trunk/adedf26e21d1ce835750c99464b3ffa0f6b38fd0
2025-11-03T16:12:51.5361336Z  * [new tag]                 trunk/ae038f871b3cb91c36df3a9d4b0ffb4f35d20482 -> trunk/ae038f871b3cb91c36df3a9d4b0ffb4f35d20482
2025-11-03T16:12:51.5361848Z  * [new tag]                 trunk/afaaaa314cc9358a10e9b1986642d49c00773560 -> trunk/afaaaa314cc9358a10e9b1986642d49c00773560
2025-11-03T16:12:51.5362246Z  * [new tag]                 trunk/b060e5c131e9cf43ba6e9b5bda2cb5789c61de47 -> trunk/b060e5c131e9cf43ba6e9b5bda2cb5789c61de47
2025-11-03T16:12:51.5362760Z  * [new tag]                 trunk/b0831930edaa732dd73dc81223fc0a9f5fe6b956 -> trunk/b0831930edaa732dd73dc81223fc0a9f5fe6b956
2025-11-03T16:12:51.5363291Z  * [new tag]                 trunk/b09fb481e0fb00dc475f218e9b14660161b40a94 -> trunk/b09fb481e0fb00dc475f218e9b14660161b40a94
2025-11-03T16:12:51.5363757Z  * [new tag]                 trunk/b2a0f90501dd3a16a6ccaf4c49e1c10f6df4ce1d -> trunk/b2a0f90501dd3a16a6ccaf4c49e1c10f6df4ce1d
2025-11-03T16:12:51.5364246Z  * [new tag]                 trunk/b33762bd2f5f1b115f049d83bf553b08d1ffc97f -> trunk/b33762bd2f5f1b115f049d83bf553b08d1ffc97f
2025-11-03T16:12:51.5364699Z  * [new tag]                 trunk/b3861ac8e70a2334278c17f834880e2d45bbe7a9 -> trunk/b3861ac8e70a2334278c17f834880e2d45bbe7a9
2025-11-03T16:12:51.5365228Z  * [new tag]                 trunk/b4403bfc62ca97eec554cdf815baab1fe93057d9 -> trunk/b4403bfc62ca97eec554cdf815baab1fe93057d9
2025-11-03T16:12:51.5365730Z  * [new tag]                 trunk/b44423bbb43860c1e340cbebc9d101dc18031ecb -> trunk/b44423bbb43860c1e340cbebc9d101dc18031ecb
2025-11-03T16:12:51.5366239Z  * [new tag]                 trunk/b470e59c382649557c49d3c31b8dec1b036eb329 -> trunk/b470e59c382649557c49d3c31b8dec1b036eb329
2025-11-03T16:12:51.5366719Z  * [new tag]                 trunk/b5189e269e899a6ad9ddc4e2ce6f33029290af82 -> trunk/b5189e269e899a6ad9ddc4e2ce6f33029290af82
2025-11-03T16:12:51.5367357Z  * [new tag]                 trunk/b71966f67b2b688f9d71f1602bd3c52d413dacef -> trunk/b71966f67b2b688f9d71f1602bd3c52d413dacef
2025-11-03T16:12:51.5367736Z  * [new tag]                 trunk/b7d348a9074af70f34848298a4e7a7985b197742 -> trunk/b7d348a9074af70f34848298a4e7a7985b197742
2025-11-03T16:12:51.5368211Z  * [new tag]                 trunk/b903018c26217edca67c9023b104027aea377b83 -> trunk/b903018c26217edca67c9023b104027aea377b83
2025-11-03T16:12:51.5368714Z  * [new tag]                 trunk/b939de26d115d33d3cbc17dcf49dbdc1a84e9727 -> trunk/b939de26d115d33d3cbc17dcf49dbdc1a84e9727
2025-11-03T16:12:51.5369227Z  * [new tag]                 trunk/b9bcb37f40e72dc4c2fc1d9281175409fe474194 -> trunk/b9bcb37f40e72dc4c2fc1d9281175409fe474194
2025-11-03T16:12:51.5369682Z  * [new tag]                 trunk/ba71e9ca9ac21e6570b20353d0a67089ad32e442 -> trunk/ba71e9ca9ac21e6570b20353d0a67089ad32e442
2025-11-03T16:12:51.5370399Z  * [new tag]                 trunk/bb54296258854897058e8f158afa8efedc4fcf18 -> trunk/bb54296258854897058e8f158afa8efedc4fcf18
2025-11-03T16:12:51.5370804Z  * [new tag]                 trunk/bbb7d2270b6f647b97f8a9c1d4e69ddaf48ef661 -> trunk/bbb7d2270b6f647b97f8a9c1d4e69ddaf48ef661
2025-11-03T16:12:51.5371205Z  * [new tag]                 trunk/bc03d7c97462abfd45fc1b7b73d5c7acbbd2c185 -> trunk/bc03d7c97462abfd45fc1b7b73d5c7acbbd2c185
2025-11-03T16:12:51.5371712Z  * [new tag]                 trunk/bc5111cd8dc5167cbcbcb2c0f23e53e61a6e8ea5 -> trunk/bc5111cd8dc5167cbcbcb2c0f23e53e61a6e8ea5
2025-11-03T16:12:51.5372130Z  * [new tag]                 trunk/be283297100ab86123e74b7a8372995d32b140c8 -> trunk/be283297100ab86123e74b7a8372995d32b140c8
2025-11-03T16:12:51.5372651Z  * [new tag]                 trunk/bea89d60603ca33f1903e57db5c734a67535c26d -> trunk/bea89d60603ca33f1903e57db5c734a67535c26d
2025-11-03T16:12:51.5373149Z  * [new tag]                 trunk/bebabd7fce29ea49b9269aeaa9fe3f34a3e1127e -> trunk/bebabd7fce29ea49b9269aeaa9fe3f34a3e1127e
2025-11-03T16:12:51.5373529Z  * [new tag]                 trunk/bfb47ec50e09dc2921ba47fedf84a1e28ee991a7 -> trunk/bfb47ec50e09dc2921ba47fedf84a1e28ee991a7
2025-11-03T16:12:51.5373939Z  * [new tag]                 trunk/bfc2050db975e589795cd3eceaed2e83bf89ad35 -> trunk/bfc2050db975e589795cd3eceaed2e83bf89ad35
2025-11-03T16:12:51.5374303Z  * [new tag]                 trunk/c01636e1bc7338eecbcfd2c17fd3fa2cad836983 -> trunk/c01636e1bc7338eecbcfd2c17fd3fa2cad836983
2025-11-03T16:12:51.5374807Z  * [new tag]                 trunk/c0bbda37e8d74734b64421762eb365e620f258c1 -> trunk/c0bbda37e8d74734b64421762eb365e620f258c1
2025-11-03T16:12:51.5375357Z  * [new tag]                 trunk/c201a1cab1439bfcfaff7e4fdab0d6eeeb880a70 -> trunk/c201a1cab1439bfcfaff7e4fdab0d6eeeb880a70
2025-11-03T16:12:51.5375784Z  * [new tag]                 trunk/c2e3cc7aedb2e7d89443225c7cccd08a0f8a3587 -> trunk/c2e3cc7aedb2e7d89443225c7cccd08a0f8a3587
2025-11-03T16:12:51.5376259Z  * [new tag]                 trunk/c3047938a01c844c752e5462b05d180a04d438fd -> trunk/c3047938a01c844c752e5462b05d180a04d438fd
2025-11-03T16:12:51.5376709Z  * [new tag]                 trunk/c37802a8c4388160faa65f8bc9c29d98b4d2fb3c -> trunk/c37802a8c4388160faa65f8bc9c29d98b4d2fb3c
2025-11-03T16:12:51.5377227Z  * [new tag]                 trunk/c3b71d54995a16fd09c18a5da5d598a23388bbd6 -> trunk/c3b71d54995a16fd09c18a5da5d598a23388bbd6
2025-11-03T16:12:51.5377611Z  * [new tag]                 trunk/c3d205d5986824e72df353c9bf112dc9b2a3612a -> trunk/c3d205d5986824e72df353c9bf112dc9b2a3612a
2025-11-03T16:12:51.5378004Z  * [new tag]                 trunk/c3dc0c7089f3204c36961acc227a3ff503530094 -> trunk/c3dc0c7089f3204c36961acc227a3ff503530094
2025-11-03T16:12:51.5378630Z  * [new tag]                 trunk/c54e2c5b4138cb85412a74189d1f7f771ad1116e -> trunk/c54e2c5b4138cb85412a74189d1f7f771ad1116e
2025-11-03T16:12:51.5378998Z  * [new tag]                 trunk/c5701d0ab5f55b23243dd437f57e856970c45bb6 -> trunk/c5701d0ab5f55b23243dd437f57e856970c45bb6
2025-11-03T16:12:51.5379744Z  * [new tag]                 trunk/c58d0ad85dfbf026d5f21ee739c139407dc20e54 -> trunk/c58d0ad85dfbf026d5f21ee739c139407dc20e54
2025-11-03T16:12:51.5380187Z  * [new tag]                 trunk/c594950e867e420a6086190a88e4b8fbd687af91 -> trunk/c594950e867e420a6086190a88e4b8fbd687af91
2025-11-03T16:12:51.5381086Z  * [new tag]                 trunk/c6a02eae5b77758ee7ee0b1dfbcf20a8341914a7 -> trunk/c6a02eae5b77758ee7ee0b1dfbcf20a8341914a7
2025-11-03T16:12:51.5381433Z  * [new tag]                 trunk/c8adc08b3b19b838dcdc71f2055600f420e6a91b -> trunk/c8adc08b3b19b838dcdc71f2055600f420e6a91b
2025-11-03T16:12:51.5382097Z  * [new tag]                 trunk/c9eabadc5e964678556a6bfcde455a5e11dc0785 -> trunk/c9eabadc5e964678556a6bfcde455a5e11dc0785
2025-11-03T16:12:51.5382485Z  * [new tag]                 trunk/cb6966704cf70ebac6d2b36b65e9a75e11c29e71 -> trunk/cb6966704cf70ebac6d2b36b65e9a75e11c29e71
2025-11-03T16:12:51.5382884Z  * [new tag]                 trunk/cde81e92b95eee9af2879c9c75f7b03699ca72ad -> trunk/cde81e92b95eee9af2879c9c75f7b03699ca72ad
2025-11-03T16:12:51.5383270Z  * [new tag]                 trunk/cee03634dab2dbf259d84bc389bdea80de0f80ac -> trunk/cee03634dab2dbf259d84bc389bdea80de0f80ac
2025-11-03T16:12:51.5383923Z  * [new tag]                 trunk/cf7756da385e03c169f7e6a5b5ff2c0e29b2814a -> trunk/cf7756da385e03c169f7e6a5b5ff2c0e29b2814a
2025-11-03T16:12:51.5384558Z  * [new tag]                 trunk/cf9a834f39d6c3b769381cc1321bcb5c54132415 -> trunk/cf9a834f39d6c3b769381cc1321bcb5c54132415
2025-11-03T16:12:51.5384908Z  * [new tag]                 trunk/d049ed2cb1619c44279cb716b8a1d94e4df3b372 -> trunk/d049ed2cb1619c44279cb716b8a1d94e4df3b372
2025-11-03T16:12:51.5385434Z  * [new tag]                 trunk/d17790072381f0e76e177ae4093504a6908a5a4d -> trunk/d17790072381f0e76e177ae4093504a6908a5a4d
2025-11-03T16:12:51.5385889Z  * [new tag]                 trunk/d1a6e006e090b1365e6653853982f175cca452e8 -> trunk/d1a6e006e090b1365e6653853982f175cca452e8
2025-11-03T16:12:51.5386364Z  * [new tag]                 trunk/d2be06f673ff11e59b234156dccaad2dc22c7746 -> trunk/d2be06f673ff11e59b234156dccaad2dc22c7746
2025-11-03T16:12:51.5387286Z  * [new tag]                 trunk/d2eff5d454ab2cb0a5ccdfb5eb6e7d6dcc75e097 -> trunk/d2eff5d454ab2cb0a5ccdfb5eb6e7d6dcc75e097
2025-11-03T16:12:51.5387802Z  * [new tag]                 trunk/d3be06cbdca4b2a9cd8ae35926b3f20b1bed1fe2 -> trunk/d3be06cbdca4b2a9cd8ae35926b3f20b1bed1fe2
2025-11-03T16:12:51.5388760Z  * [new tag]                 trunk/d3e511f07c0b1fc6df22347aec7f8e700bdb0d24 -> trunk/d3e511f07c0b1fc6df22347aec7f8e700bdb0d24
2025-11-03T16:12:51.5389156Z  * [new tag]                 trunk/d401e4e70a1dd19733d3e3c84affc4884605efb4 -> trunk/d401e4e70a1dd19733d3e3c84affc4884605efb4
2025-11-03T16:12:51.5389571Z  * [new tag]                 trunk/d46d8d6f54b15ded4f2483c7bde31be124281ab8 -> trunk/d46d8d6f54b15ded4f2483c7bde31be124281ab8
2025-11-03T16:12:51.5389950Z  * [new tag]                 trunk/d6d6fa26f540c10c57ac80547a9475e9f4c201f2 -> trunk/d6d6fa26f540c10c57ac80547a9475e9f4c201f2
2025-11-03T16:12:51.5390466Z  * [new tag]                 trunk/d7040e6d7515cea485824d2b810bea94e5958dea -> trunk/d7040e6d7515cea485824d2b810bea94e5958dea
2025-11-03T16:12:51.5390942Z  * [new tag]                 trunk/d80ae738c9c1810b30a88233bdcd34cae16c5c6e -> trunk/d80ae738c9c1810b30a88233bdcd34cae16c5c6e
2025-11-03T16:12:51.5391422Z  * [new tag]                 trunk/d8283a317a335c628c4541c6a60e102fdead57b7 -> trunk/d8283a317a335c628c4541c6a60e102fdead57b7
2025-11-03T16:12:51.5391913Z  * [new tag]                 trunk/d9483d4c8d3f220ad505afd05606e068184896a4 -> trunk/d9483d4c8d3f220ad505afd05606e068184896a4
2025-11-03T16:12:51.5392283Z  * [new tag]                 trunk/d962bed15798961ffd10e64068f86a2cec411ffb -> trunk/d962bed15798961ffd10e64068f86a2cec411ffb
2025-11-03T16:12:51.5392785Z  * [new tag]                 trunk/d97144d31ef42e762ce65f467cbaf065edb241cc -> trunk/d97144d31ef42e762ce65f467cbaf065edb241cc
2025-11-03T16:12:51.5393323Z  * [new tag]                 trunk/dc011d3203b24ebf1f78ab8dd64766205e64d8ec -> trunk/dc011d3203b24ebf1f78ab8dd64766205e64d8ec
2025-11-03T16:12:51.5393810Z  * [new tag]                 trunk/dd1fe7c22f8eee3984a22663636b0d1403b079ba -> trunk/dd1fe7c22f8eee3984a22663636b0d1403b079ba
2025-11-03T16:12:51.5394311Z  * [new tag]                 trunk/deb776319b12cad7fffb5cf9d8851a50e2b0e9ea -> trunk/deb776319b12cad7fffb5cf9d8851a50e2b0e9ea
2025-11-03T16:12:51.5394813Z  * [new tag]                 trunk/defac66e39c60f867795346ded171366ed682ee3 -> trunk/defac66e39c60f867795346ded171366ed682ee3
2025-11-03T16:12:51.5395335Z  * [new tag]                 trunk/df71b7072799c451a008cb36142dfdb1487f0d5e -> trunk/df71b7072799c451a008cb36142dfdb1487f0d5e
2025-11-03T16:12:51.5395732Z  * [new tag]                 trunk/dfebdcab86acbaa0eaa996b47595e5f27a66492e -> trunk/dfebdcab86acbaa0eaa996b47595e5f27a66492e
2025-11-03T16:12:51.5396115Z  * [new tag]                 trunk/e0604d3170f1123ebacbced66be400c7f162621f -> trunk/e0604d3170f1123ebacbced66be400c7f162621f
2025-11-03T16:12:51.5396599Z  * [new tag]                 trunk/e0791fc11dc0024a828495985898b29120dcc4c1 -> trunk/e0791fc11dc0024a828495985898b29120dcc4c1
2025-11-03T16:12:51.5397102Z  * [new tag]                 trunk/e0ca3049c0c7726747094f47f80cadcfad51320d -> trunk/e0ca3049c0c7726747094f47f80cadcfad51320d
2025-11-03T16:12:51.5397611Z  * [new tag]                 trunk/e105a475756ae6dd45c8134bd4583afc57ee416e -> trunk/e105a475756ae6dd45c8134bd4583afc57ee416e
2025-11-03T16:12:51.5398052Z  * [new tag]                 trunk/e137cd0a1046ead2ca9d631f427655adced606c2 -> trunk/e137cd0a1046ead2ca9d631f427655adced606c2
2025-11-03T16:12:51.5398589Z  * [new tag]                 trunk/e1d011d6eb571cd98ec7c7ed8e8b518a5463ec97 -> trunk/e1d011d6eb571cd98ec7c7ed8e8b518a5463ec97
2025-11-03T16:12:51.5399068Z  * [new tag]                 trunk/e214af6ae8e613485ac3dac3e2094cf53dfc3c1d -> trunk/e214af6ae8e613485ac3dac3e2094cf53dfc3c1d
2025-11-03T16:12:51.5399567Z  * [new tag]                 trunk/e2dc32f4baf853e6171777aed530fc83bcdb35ae -> trunk/e2dc32f4baf853e6171777aed530fc83bcdb35ae
2025-11-03T16:12:51.5400083Z  * [new tag]                 trunk/e380028a51c38de80b8888d027c63e290a773651 -> trunk/e380028a51c38de80b8888d027c63e290a773651
2025-11-03T16:12:51.5400573Z  * [new tag]                 trunk/e3ae0594d16134632ff587c9ab400d4148c83e9f -> trunk/e3ae0594d16134632ff587c9ab400d4148c83e9f
2025-11-03T16:12:51.5400934Z  * [new tag]                 trunk/e3e93c7107830c13f4139c3a62fda62c6b84bbf5 -> trunk/e3e93c7107830c13f4139c3a62fda62c6b84bbf5
2025-11-03T16:12:51.5401414Z  * [new tag]                 trunk/e4043884c734a3947f4c8da0cfbba43fc6319f3d -> trunk/e4043884c734a3947f4c8da0cfbba43fc6319f3d
2025-11-03T16:12:51.5401807Z  * [new tag]                 trunk/e471800dceb8a6592562fc4fc96a5e80bc494c0a -> trunk/e471800dceb8a6592562fc4fc96a5e80bc494c0a
2025-11-03T16:12:51.5402296Z  * [new tag]                 trunk/e83be7042e809ef51c67f53d83ac45794447c73f -> trunk/e83be7042e809ef51c67f53d83ac45794447c73f
2025-11-03T16:12:51.5402799Z  * [new tag]                 trunk/e8d887ae3fceb97283bc2d751621b9615524b4b7 -> trunk/e8d887ae3fceb97283bc2d751621b9615524b4b7
2025-11-03T16:12:51.5403318Z  * [new tag]                 trunk/e8fadba28cc225782ddce1bf0ef8315ee1743761 -> trunk/e8fadba28cc225782ddce1bf0ef8315ee1743761
2025-11-03T16:12:51.5403809Z  * [new tag]                 trunk/e95920e3e6f9d8218c6aed2b8b6ce9b838a49104 -> trunk/e95920e3e6f9d8218c6aed2b8b6ce9b838a49104
2025-11-03T16:12:51.5404199Z  * [new tag]                 trunk/ea698e8bfcd2ec1820b3ba90b9c47416a33348de -> trunk/ea698e8bfcd2ec1820b3ba90b9c47416a33348de
2025-11-03T16:12:51.5404851Z  * [new tag]                 trunk/eae701cad03feb87908107cb5246d9e13a9d426e -> trunk/eae701cad03feb87908107cb5246d9e13a9d426e
2025-11-03T16:12:51.5405233Z  * [new tag]                 trunk/eb2bad5bb54df8a2563f2619819e9e689e0ba10e -> trunk/eb2bad5bb54df8a2563f2619819e9e689e0ba10e
2025-11-03T16:12:51.5405736Z  * [new tag]                 trunk/ebb2b2e894a4ede8efc5f5fff068d4ac9972f77a -> trunk/ebb2b2e894a4ede8efc5f5fff068d4ac9972f77a
2025-11-03T16:12:51.5406190Z  * [new tag]                 trunk/ee7434be822cf6e75b4566d8159f550ee233d8ae -> trunk/ee7434be822cf6e75b4566d8159f550ee233d8ae
2025-11-03T16:12:51.5406693Z  * [new tag]                 trunk/ef8d97efcf05e1f3a05ad5ce3444e3af42481505 -> trunk/ef8d97efcf05e1f3a05ad5ce3444e3af42481505
2025-11-03T16:12:51.5407040Z  * [new tag]                 trunk/f013e804c876a34cbc86a6a475597e3e29812883 -> trunk/f013e804c876a34cbc86a6a475597e3e29812883
2025-11-03T16:12:51.5407539Z  * [new tag]                 trunk/f02708c2be66c7cf0edec52663de69f66ba4b1df -> trunk/f02708c2be66c7cf0edec52663de69f66ba4b1df
2025-11-03T16:12:51.5408020Z  * [new tag]                 trunk/f0745ddb11ab66a8bb4de8031bd7e9dccba19379 -> trunk/f0745ddb11ab66a8bb4de8031bd7e9dccba19379
2025-11-03T16:12:51.5408511Z  * [new tag]                 trunk/f167fd09fabf3f5be63cd31451f29d49796c14e8 -> trunk/f167fd09fabf3f5be63cd31451f29d49796c14e8
2025-11-03T16:12:51.5408961Z  * [new tag]                 trunk/f1a34407152302812bf633360cd29e9fba8de71e -> trunk/f1a34407152302812bf633360cd29e9fba8de71e
2025-11-03T16:12:51.5409443Z  * [new tag]                 trunk/f1af679270392c83e03808c8af5e2cbe3cdf16ce -> trunk/f1af679270392c83e03808c8af5e2cbe3cdf16ce
2025-11-03T16:12:51.5409973Z  * [new tag]                 trunk/f1e4c42b6ef3d3cea08ab3babb693e3ce42cf08b -> trunk/f1e4c42b6ef3d3cea08ab3babb693e3ce42cf08b
2025-11-03T16:12:51.5410627Z  * [new tag]                 trunk/f20bf778746a7662a9bdbd2fa49d326772ca90ed -> trunk/f20bf778746a7662a9bdbd2fa49d326772ca90ed
2025-11-03T16:12:51.5411024Z  * [new tag]                 trunk/f2450798cd6f30b811f6d8256da0c271cad2285c -> trunk/f2450798cd6f30b811f6d8256da0c271cad2285c
2025-11-03T16:12:51.5411524Z  * [new tag]                 trunk/f2c81635c85bf8d1c523d6b17f8016ad78ea02e2 -> trunk/f2c81635c85bf8d1c523d6b17f8016ad78ea02e2
2025-11-03T16:12:51.5411999Z  * [new tag]                 trunk/f33abae6957b8ef56268ce22e660d3ed3111c7c3 -> trunk/f33abae6957b8ef56268ce22e660d3ed3111c7c3
2025-11-03T16:12:51.5412920Z  * [new tag]                 trunk/f36f372acc28062e0988d84699c62689b0d89a6e -> trunk/f36f372acc28062e0988d84699c62689b0d89a6e
2025-11-03T16:12:51.5413436Z  * [new tag]                 trunk/f452edd782fb7342e2a5740cea9b78135e714858 -> trunk/f452edd782fb7342e2a5740cea9b78135e714858
2025-11-03T16:12:51.5413934Z  * [new tag]                 trunk/f4d05feb7a5f9191509e1e539ea210fcbe538b32 -> trunk/f4d05feb7a5f9191509e1e539ea210fcbe538b32
2025-11-03T16:12:51.5414407Z  * [new tag]                 trunk/f5543e3741bbfba4579afc3b49d0720f2eee7e4d -> trunk/f5543e3741bbfba4579afc3b49d0720f2eee7e4d
2025-11-03T16:12:51.5414779Z  * [new tag]                 trunk/f5cb9a4c68d9271c58ef4d3257210984b8e85099 -> trunk/f5cb9a4c68d9271c58ef4d3257210984b8e85099
2025-11-03T16:12:51.5415420Z  * [new tag]                 trunk/f60751024ecac57840a2d25132d0c1562351e66e -> trunk/f60751024ecac57840a2d25132d0c1562351e66e
2025-11-03T16:12:51.5415811Z  * [new tag]                 trunk/f6951cb8ea1ef96a33627734eb68b5dc7a04b6ed -> trunk/f6951cb8ea1ef96a33627734eb68b5dc7a04b6ed
2025-11-03T16:12:51.5416292Z  * [new tag]                 trunk/f89a7e9fe80fb0f74af52bad892e1afafa57be9c -> trunk/f89a7e9fe80fb0f74af52bad892e1afafa57be9c
2025-11-03T16:12:51.5416742Z  * [new tag]                 trunk/f8b4c002940d96ba2afc14ac4cf0b5277776bc02 -> trunk/f8b4c002940d96ba2afc14ac4cf0b5277776bc02
2025-11-03T16:12:51.5417218Z  * [new tag]                 trunk/f911d64750efb22097eef5505552a7669a0c53de -> trunk/f911d64750efb22097eef5505552a7669a0c53de
2025-11-03T16:12:51.5417697Z  * [new tag]                 trunk/f91899ca6c15d611c453591527e1be8b43e5d4ea -> trunk/f91899ca6c15d611c453591527e1be8b43e5d4ea
2025-11-03T16:12:51.5418227Z  * [new tag]                 trunk/f93ea7dab190fa0953b7a4921b76993cadafc7c9 -> trunk/f93ea7dab190fa0953b7a4921b76993cadafc7c9
2025-11-03T16:12:51.5418874Z  * [new tag]                 trunk/fa4cb918462d3cbe7cf48db7c1498824c1ca1cc4 -> trunk/fa4cb918462d3cbe7cf48db7c1498824c1ca1cc4
2025-11-03T16:12:51.5419155Z  * [new tag]                 trunk/fa560e1158b496d1c37ca2a2443a0b7f5a08dad5 -> trunk/fa560e1158b496d1c37ca2a2443a0b7f5a08dad5
2025-11-03T16:12:51.5419662Z  * [new tag]                 trunk/fa8e073a4e17f12e7e4bb0b26471179d2ca57471 -> trunk/fa8e073a4e17f12e7e4bb0b26471179d2ca57471
2025-11-03T16:12:51.5420168Z  * [new tag]                 trunk/fb545fb0686c94cc017c15ca7e342996b49edb81 -> trunk/fb545fb0686c94cc017c15ca7e342996b49edb81
2025-11-03T16:12:51.5420663Z  * [new tag]                 trunk/fc540cefd498f1001a5fc7a4f187080628b27839 -> trunk/fc540cefd498f1001a5fc7a4f187080628b27839
2025-11-03T16:12:51.5421128Z  * [new tag]                 trunk/fc8ac1216c61d8736f45a58825abf58e7d51e088 -> trunk/fc8ac1216c61d8736f45a58825abf58e7d51e088
2025-11-03T16:12:51.5421788Z  * [new tag]                 trunk/fcc10635660ceb619f78d06eaaa8b3c0bdd52ab8 -> trunk/fcc10635660ceb619f78d06eaaa8b3c0bdd52ab8
2025-11-03T16:12:51.5422130Z  * [new tag]                 trunk/fcd5f8c352b5b75bd32e57fa044ec5df095032da -> trunk/fcd5f8c352b5b75bd32e57fa044ec5df095032da
2025-11-03T16:12:51.5422644Z  * [new tag]                 trunk/fd5da81fdd76c0a78ef935d077a93b48b78fca3a -> trunk/fd5da81fdd76c0a78ef935d077a93b48b78fca3a
2025-11-03T16:12:51.5423117Z  * [new tag]                 trunk/fd68d409ada709450ced3030bde89ec662a3f7b7 -> trunk/fd68d409ada709450ced3030bde89ec662a3f7b7
2025-11-03T16:12:51.5423499Z  * [new tag]                 trunk/fea819ed080175f9a93205cc9074022bfa486325 -> trunk/fea819ed080175f9a93205cc9074022bfa486325
2025-11-03T16:12:51.5424017Z  * [new tag]                 trunk/fee1ac927d66fce67f862311292dcc325b8def44 -> trunk/fee1ac927d66fce67f862311292dcc325b8def44
2025-11-03T16:12:51.5424552Z  * [new tag]                 trunk/fee7624bd66e64f575c1396fcaaa54cabce49ca4 -> trunk/fee7624bd66e64f575c1396fcaaa54cabce49ca4
2025-11-03T16:12:51.5424985Z  * [new tag]                 trunk/fefb546b9100614da1fa703e12651bc115059f02 -> trunk/fefb546b9100614da1fa703e12651bc115059f02
2025-11-03T16:12:51.5425692Z  * [new tag]                 trunk/ff46d5a79bec09d9ae334d325f5f8cc89306b536 -> trunk/ff46d5a79bec09d9ae334d325f5f8cc89306b536
2025-11-03T16:12:51.5426108Z  * [new tag]                 trunk/ffaa6578b7a641b1ac1fcf451f04cf5e1212c9fe -> trunk/ffaa6578b7a641b1ac1fcf451f04cf5e1212c9fe
2025-11-03T16:12:51.5426701Z  * [new tag]                 v0.1.1                      -> v0.1.1
2025-11-03T16:12:51.5427036Z  * [new tag]                 v0.1.10                     -> v0.1.10
2025-11-03T16:12:51.5427678Z  * [new tag]                 v0.1.11                     -> v0.1.11
2025-11-03T16:12:51.5428020Z  * [new tag]                 v0.1.12                     -> v0.1.12
2025-11-03T16:12:51.5428415Z  * [new tag]                 v0.1.2                      -> v0.1.2
2025-11-03T16:12:51.5428790Z  * [new tag]                 v0.1.3                      -> v0.1.3
2025-11-03T16:12:51.5429311Z  * [new tag]                 v0.1.4                      -> v0.1.4
2025-11-03T16:12:51.5429677Z  * [new tag]                 v0.1.5                      -> v0.1.5
2025-11-03T16:12:51.5430499Z  * [new tag]                 v0.1.6                      -> v0.1.6
2025-11-03T16:12:51.5430845Z  * [new tag]                 v0.1.7                      -> v0.1.7
2025-11-03T16:12:51.5431209Z  * [new tag]                 v0.1.8                      -> v0.1.8
2025-11-03T16:12:51.5431583Z  * [new tag]                 v0.1.9                      -> v0.1.9
2025-11-03T16:12:51.5432096Z  * [new tag]                 v0.2.0                      -> v0.2.0
2025-11-03T16:12:51.5432455Z  * [new tag]                 v0.3.0                      -> v0.3.0
2025-11-03T16:12:51.5433058Z  * [new tag]                 v0.3.1                      -> v0.3.1
2025-11-03T16:12:51.5433431Z  * [new tag]                 v0.4.0                      -> v0.4.0
2025-11-03T16:12:51.5433821Z  * [new tag]                 v0.4.1                      -> v0.4.1
2025-11-03T16:12:51.5434334Z  * [new tag]                 v1.0.0                      -> v1.0.0
2025-11-03T16:12:51.5434726Z  * [new tag]                 v1.0.0a0                    -> v1.0.0a0
2025-11-03T16:12:51.5435241Z  * [new tag]                 v1.0.1                      -> v1.0.1
2025-11-03T16:12:51.5435618Z  * [new tag]                 v1.0rc0                     -> v1.0rc0
2025-11-03T16:12:51.5436012Z  * [new tag]                 v1.0rc1                     -> v1.0rc1
2025-11-03T16:12:51.5436523Z  * [new tag]                 v1.1.0                      -> v1.1.0
2025-11-03T16:12:51.5437081Z  * [new tag]                 v1.1.0a0                    -> v1.1.0a0
2025-11-03T16:12:51.5437670Z  * [new tag]                 v1.10.0                     -> v1.10.0
2025-11-03T16:12:51.5438234Z  * [new tag]                 v1.10.0-rc1                 -> v1.10.0-rc1
2025-11-03T16:12:51.5438601Z  * [new tag]                 v1.10.0-rc2                 -> v1.10.0-rc2
2025-11-03T16:12:51.5438923Z  * [new tag]                 v1.10.0-rc3                 -> v1.10.0-rc3
2025-11-03T16:12:51.5439446Z  * [new tag]                 v1.10.1                     -> v1.10.1
2025-11-03T16:12:51.5439781Z  * [new tag]                 v1.10.1-rc1                 -> v1.10.1-rc1
2025-11-03T16:12:51.5440062Z  * [new tag]                 v1.10.2                     -> v1.10.2
2025-11-03T16:12:51.5440627Z  * [new tag]                 v1.10.2-rc1                 -> v1.10.2-rc1
2025-11-03T16:12:51.5441154Z  * [new tag]                 v1.11.0                     -> v1.11.0
2025-11-03T16:12:51.5441725Z  * [new tag]                 v1.11.0-rc1                 -> v1.11.0-rc1
2025-11-03T16:12:51.5442122Z  * [new tag]                 v1.11.0-rc2                 -> v1.11.0-rc2
2025-11-03T16:12:51.5442715Z  * [new tag]                 v1.11.0-rc3                 -> v1.11.0-rc3
2025-11-03T16:12:51.5443166Z  * [new tag]                 v1.11.0-rc4                 -> v1.11.0-rc4
2025-11-03T16:12:51.5443727Z  * [new tag]                 v1.11.0-rc5                 -> v1.11.0-rc5
2025-11-03T16:12:51.5443948Z  * [new tag]                 v1.11.0-rc6                 -> v1.11.0-rc6
2025-11-03T16:12:51.5444274Z  * [new tag]                 v1.11.0-rc7                 -> v1.11.0-rc7
2025-11-03T16:12:51.5444832Z  * [new tag]                 v1.12.0                     -> v1.12.0
2025-11-03T16:12:51.5445185Z  * [new tag]                 v1.12.0-rc1                 -> v1.12.0-rc1
2025-11-03T16:12:51.5445752Z  * [new tag]                 v1.12.0-rc2                 -> v1.12.0-rc2
2025-11-03T16:12:51.5446281Z  * [new tag]                 v1.12.0-rc3                 -> v1.12.0-rc3
2025-11-03T16:12:51.5446701Z  * [new tag]                 v1.12.0-rc4                 -> v1.12.0-rc4
2025-11-03T16:12:51.5447213Z  * [new tag]                 v1.12.0-rc5                 -> v1.12.0-rc5
2025-11-03T16:12:51.5447741Z  * [new tag]                 v1.12.0-rc6                 -> v1.12.0-rc6
2025-11-03T16:12:51.5448045Z  * [new tag]                 v1.12.0-rc7                 -> v1.12.0-rc7
2025-11-03T16:12:51.5448322Z  * [new tag]                 v1.12.0-rc8                 -> v1.12.0-rc8
2025-11-03T16:12:51.5448633Z  * [new tag]                 v1.12.1                     -> v1.12.1
2025-11-03T16:12:51.5449275Z  * [new tag]                 v1.12.1-rc1                 -> v1.12.1-rc1
2025-11-03T16:12:51.5449662Z  * [new tag]                 v1.12.1-rc2                 -> v1.12.1-rc2
2025-11-03T16:12:51.5450265Z  * [new tag]                 v1.12.1-rc3                 -> v1.12.1-rc3
2025-11-03T16:12:51.5450647Z  * [new tag]                 v1.12.1-rc4                 -> v1.12.1-rc4
2025-11-03T16:12:51.5450968Z  * [new tag]                 v1.12.1-rc5                 -> v1.12.1-rc5
2025-11-03T16:12:51.5451580Z  * [new tag]                 v1.13.0                     -> v1.13.0
2025-11-03T16:12:51.5451921Z  * [new tag]                 v1.13.0-rc1                 -> v1.13.0-rc1
2025-11-03T16:12:51.5452472Z  * [new tag]                 v1.13.0-rc2                 -> v1.13.0-rc2
2025-11-03T16:12:51.5452837Z  * [new tag]                 v1.13.0-rc3                 -> v1.13.0-rc3
2025-11-03T16:12:51.5453452Z  * [new tag]                 v1.13.0-rc4                 -> v1.13.0-rc4
2025-11-03T16:12:51.5453714Z  * [new tag]                 v1.13.0-rc5                 -> v1.13.0-rc5
2025-11-03T16:12:51.5454285Z  * [new tag]                 v1.13.0-rc6                 -> v1.13.0-rc6
2025-11-03T16:12:51.5454867Z  * [new tag]                 v1.13.1                     -> v1.13.1
2025-11-03T16:12:51.5455183Z  * [new tag]                 v1.13.1-rc1                 -> v1.13.1-rc1
2025-11-03T16:12:51.5455751Z  * [new tag]                 v1.2.0                      -> v1.2.0
2025-11-03T16:12:51.5456141Z  * [new tag]                 v1.2.0a0                    -> v1.2.0a0
2025-11-03T16:12:51.5456649Z  * [new tag]                 v1.3.0                      -> v1.3.0
2025-11-03T16:12:51.5457075Z  * [new tag]                 v1.3.0a0                    -> v1.3.0a0
2025-11-03T16:12:51.5457387Z  * [new tag]                 v1.3.1                      -> v1.3.1
2025-11-03T16:12:51.5457790Z  * [new tag]                 v1.4.0                      -> v1.4.0
2025-11-03T16:12:51.5458320Z  * [new tag]                 v1.4.0a0                    -> v1.4.0a0
2025-11-03T16:12:51.5458603Z  * [new tag]                 v1.4.1                      -> v1.4.1
2025-11-03T16:12:51.5459489Z  * [new tag]                 v1.5.0                      -> v1.5.0
2025-11-03T16:12:51.5459883Z  * [new tag]                 v1.5.0-rc1                  -> v1.5.0-rc1
2025-11-03T16:12:51.5460445Z  * [new tag]                 v1.5.0-rc2                  -> v1.5.0-rc2
2025-11-03T16:12:51.5460977Z  * [new tag]                 v1.5.0-rc3                  -> v1.5.0-rc3
2025-11-03T16:12:51.5461245Z  * [new tag]                 v1.5.0-rc4                  -> v1.5.0-rc4
2025-11-03T16:12:51.5461655Z  * [new tag]                 v1.5.0-rc5                  -> v1.5.0-rc5
2025-11-03T16:12:51.5473874Z  * [new tag]                 v1.5.1                      -> v1.5.1
2025-11-03T16:12:51.5474064Z  * [new tag]                 v1.5.1-rc1                  -> v1.5.1-rc1
2025-11-03T16:12:51.5474191Z  * [new tag]                 v1.6.0                      -> v1.6.0
2025-11-03T16:12:51.5474295Z  * [new tag]                 v1.6.0-rc1                  -> v1.6.0-rc1
2025-11-03T16:12:51.5474386Z  * [new tag]                 v1.6.0-rc2                  -> v1.6.0-rc2
2025-11-03T16:12:51.5474481Z  * [new tag]                 v1.6.0-rc3                  -> v1.6.0-rc3
2025-11-03T16:12:51.5474567Z  * [new tag]                 v1.6.0-rc4                  -> v1.6.0-rc4
2025-11-03T16:12:51.5474654Z  * [new tag]                 v1.6.0-rc5                  -> v1.6.0-rc5
2025-11-03T16:12:51.5474750Z  * [new tag]                 v1.6.0-rc6                  -> v1.6.0-rc6
2025-11-03T16:12:51.5474842Z  * [new tag]                 v1.6.0-rc7                  -> v1.6.0-rc7
2025-11-03T16:12:51.5474939Z  * [new tag]                 v1.7.0                      -> v1.7.0
2025-11-03T16:12:51.5475028Z  * [new tag]                 v1.7.0-rc1                  -> v1.7.0-rc1
2025-11-03T16:12:51.5475120Z  * [new tag]                 v1.7.0-rc2                  -> v1.7.0-rc2
2025-11-03T16:12:51.5475215Z  * [new tag]                 v1.7.0-rc3                  -> v1.7.0-rc3
2025-11-03T16:12:51.5475300Z  * [new tag]                 v1.7.0-rc4                  -> v1.7.0-rc4
2025-11-03T16:12:51.5475395Z  * [new tag]                 v1.7.1                      -> v1.7.1
2025-11-03T16:12:51.5475481Z  * [new tag]                 v1.7.1-rc1                  -> v1.7.1-rc1
2025-11-03T16:12:51.5475574Z  * [new tag]                 v1.7.1-rc2                  -> v1.7.1-rc2
2025-11-03T16:12:51.5475661Z  * [new tag]                 v1.7.1-rc3                  -> v1.7.1-rc3
2025-11-03T16:12:51.5475747Z  * [new tag]                 v1.8.0                      -> v1.8.0
2025-11-03T16:12:51.5475844Z  * [new tag]                 v1.8.0-rc1                  -> v1.8.0-rc1
2025-11-03T16:12:51.5475932Z  * [new tag]                 v1.8.0-rc2                  -> v1.8.0-rc2
2025-11-03T16:12:51.5476177Z  * [new tag]                 v1.8.0-rc3                  -> v1.8.0-rc3
2025-11-03T16:12:51.5476265Z  * [new tag]                 v1.8.0-rc4                  -> v1.8.0-rc4
2025-11-03T16:12:51.5476351Z  * [new tag]                 v1.8.0-rc5                  -> v1.8.0-rc5
2025-11-03T16:12:51.5476443Z  * [new tag]                 v1.8.1                      -> v1.8.1
2025-11-03T16:12:51.5476527Z  * [new tag]                 v1.8.1-rc1                  -> v1.8.1-rc1
2025-11-03T16:12:51.5476622Z  * [new tag]                 v1.8.1-rc2                  -> v1.8.1-rc2
2025-11-03T16:12:51.5476716Z  * [new tag]                 v1.8.1-rc3                  -> v1.8.1-rc3
2025-11-03T16:12:51.5476808Z  * [new tag]                 v1.8.2                      -> v1.8.2
2025-11-03T16:12:51.5476895Z  * [new tag]                 v1.8.2-rc1                  -> v1.8.2-rc1
2025-11-03T16:12:51.5476981Z  * [new tag]                 v1.9.0                      -> v1.9.0
2025-11-03T16:12:51.5477077Z  * [new tag]                 v1.9.0-rc1                  -> v1.9.0-rc1
2025-11-03T16:12:51.5477203Z  * [new tag]                 v1.9.0-rc2                  -> v1.9.0-rc2
2025-11-03T16:12:51.5477450Z  * [new tag]                 v1.9.0-rc3                  -> v1.9.0-rc3
2025-11-03T16:12:51.5477828Z  * [new tag]                 v1.9.0-rc4                  -> v1.9.0-rc4
2025-11-03T16:12:51.5478357Z  * [new tag]                 v1.9.1                      -> v1.9.1
2025-11-03T16:12:51.5478946Z  * [new tag]                 v1.9.1-rc1                  -> v1.9.1-rc1
2025-11-03T16:12:51.5479212Z  * [new tag]                 v1.9.1-rc2                  -> v1.9.1-rc2
2025-11-03T16:12:51.5479752Z  * [new tag]                 v2.0.0                      -> v2.0.0
2025-11-03T16:12:51.5480151Z  * [new tag]                 v2.0.0-rc1                  -> v2.0.0-rc1
2025-11-03T16:12:51.5480875Z  * [new tag]                 v2.0.0-rc2                  -> v2.0.0-rc2
2025-11-03T16:12:51.5481379Z  * [new tag]                 v2.0.0-rc3                  -> v2.0.0-rc3
2025-11-03T16:12:51.5481797Z  * [new tag]                 v2.0.0-rc4                  -> v2.0.0-rc4
2025-11-03T16:12:51.5482360Z  * [new tag]                 v2.0.0-rc5                  -> v2.0.0-rc5
2025-11-03T16:12:51.5482573Z  * [new tag]                 v2.0.0-rc6                  -> v2.0.0-rc6
2025-11-03T16:12:51.5483172Z  * [new tag]                 v2.0.1                      -> v2.0.1
2025-11-03T16:12:51.5483801Z  * [new tag]                 v2.0.1-rc1                  -> v2.0.1-rc1
2025-11-03T16:12:51.5484010Z  * [new tag]                 v2.0.1-rc2                  -> v2.0.1-rc2
2025-11-03T16:12:51.5484468Z  * [new tag]                 v2.0.1-rc3                  -> v2.0.1-rc3
2025-11-03T16:12:51.5484842Z  * [new tag]                 v2.0.1-rc4                  -> v2.0.1-rc4
2025-11-03T16:12:51.5485728Z  * [new tag]                 v2.1.0                      -> v2.1.0
2025-11-03T16:12:51.5486087Z  * [new tag]                 v2.1.0-rc1                  -> v2.1.0-rc1
2025-11-03T16:12:51.5486660Z  * [new tag]                 v2.1.0-rc2                  -> v2.1.0-rc2
2025-11-03T16:12:51.5487170Z  * [new tag]                 v2.1.0-rc3                  -> v2.1.0-rc3
2025-11-03T16:12:51.5487691Z  * [new tag]                 v2.1.0-rc4                  -> v2.1.0-rc4
2025-11-03T16:12:51.5488208Z  * [new tag]                 v2.1.0-rc5                  -> v2.1.0-rc5
2025-11-03T16:12:51.5488468Z  * [new tag]                 v2.1.0-rc6                  -> v2.1.0-rc6
2025-11-03T16:12:51.5489273Z  * [new tag]                 v2.1.1                      -> v2.1.1
2025-11-03T16:12:51.5489680Z  * [new tag]                 v2.1.1-rc1                  -> v2.1.1-rc1
2025-11-03T16:12:51.5490186Z  * [new tag]                 v2.1.1-rc2                  -> v2.1.1-rc2
2025-11-03T16:12:51.5490793Z  * [new tag]                 v2.1.1-rc3                  -> v2.1.1-rc3
2025-11-03T16:12:51.5491163Z  * [new tag]                 v2.1.1-rc4                  -> v2.1.1-rc4
2025-11-03T16:12:51.5491690Z  * [new tag]                 v2.1.1-rc5                  -> v2.1.1-rc5
2025-11-03T16:12:51.5491925Z  * [new tag]                 v2.1.1-rc6                  -> v2.1.1-rc6
2025-11-03T16:12:51.5492477Z  * [new tag]                 v2.1.2                      -> v2.1.2
2025-11-03T16:12:51.5492984Z  * [new tag]                 v2.1.2-rc1                  -> v2.1.2-rc1
2025-11-03T16:12:51.5493544Z  * [new tag]                 v2.1.2-rc2                  -> v2.1.2-rc2
2025-11-03T16:12:51.5493805Z  * [new tag]                 v2.1.2-rc3                  -> v2.1.2-rc3
2025-11-03T16:12:51.5494368Z  * [new tag]                 v2.2.0                      -> v2.2.0
2025-11-03T16:12:51.5494951Z  * [new tag]                 v2.2.0-rc1                  -> v2.2.0-rc1
2025-11-03T16:12:51.5495314Z  * [new tag]                 v2.2.0-rc2                  -> v2.2.0-rc2
2025-11-03T16:12:51.5495835Z  * [new tag]                 v2.2.0-rc3                  -> v2.2.0-rc3
2025-11-03T16:12:51.5496176Z  * [new tag]                 v2.2.0-rc4                  -> v2.2.0-rc4
2025-11-03T16:12:51.5496705Z  * [new tag]                 v2.2.0-rc5                  -> v2.2.0-rc5
2025-11-03T16:12:51.5497249Z  * [new tag]                 v2.2.0-rc6                  -> v2.2.0-rc6
2025-11-03T16:12:51.5497462Z  * [new tag]                 v2.2.0-rc7                  -> v2.2.0-rc7
2025-11-03T16:12:51.5497844Z  * [new tag]                 v2.2.0-rc8                  -> v2.2.0-rc8
2025-11-03T16:12:51.5498403Z  * [new tag]                 v2.2.1                      -> v2.2.1
2025-11-03T16:12:51.5498791Z  * [new tag]                 v2.2.1-rc1                  -> v2.2.1-rc1
2025-11-03T16:12:51.5499130Z  * [new tag]                 v2.2.1-rc2                  -> v2.2.1-rc2
2025-11-03T16:12:51.5499461Z  * [new tag]                 v2.2.1-rc3                  -> v2.2.1-rc3
2025-11-03T16:12:51.5500071Z  * [new tag]                 v2.2.2                      -> v2.2.2
2025-11-03T16:12:51.5500473Z  * [new tag]                 v2.2.2-rc1                  -> v2.2.2-rc1
2025-11-03T16:12:51.5500798Z  * [new tag]                 v2.2.2-rc2                  -> v2.2.2-rc2
2025-11-03T16:12:51.5501119Z  * [new tag]                 v2.2.2-rc3                  -> v2.2.2-rc3
2025-11-03T16:12:51.5501690Z  * [new tag]                 v2.3.0                      -> v2.3.0
2025-11-03T16:12:51.5502072Z  * [new tag]                 v2.3.0-rc1                  -> v2.3.0-rc1
2025-11-03T16:12:51.5502673Z  * [new tag]                 v2.3.0-rc10                 -> v2.3.0-rc10
2025-11-03T16:12:51.5503231Z  * [new tag]                 v2.3.0-rc11                 -> v2.3.0-rc11
2025-11-03T16:12:51.5503435Z  * [new tag]                 v2.3.0-rc12                 -> v2.3.0-rc12
2025-11-03T16:12:51.5504157Z  * [new tag]                 v2.3.0-rc2                  -> v2.3.0-rc2
2025-11-03T16:12:51.5504544Z  * [new tag]                 v2.3.0-rc3                  -> v2.3.0-rc3
2025-11-03T16:12:51.5505107Z  * [new tag]                 v2.3.0-rc4                  -> v2.3.0-rc4
2025-11-03T16:12:51.5505627Z  * [new tag]                 v2.3.0-rc5                  -> v2.3.0-rc5
2025-11-03T16:12:51.5505834Z  * [new tag]                 v2.3.0-rc6                  -> v2.3.0-rc6
2025-11-03T16:12:51.5506412Z  * [new tag]                 v2.3.0-rc7                  -> v2.3.0-rc7
2025-11-03T16:12:51.5506801Z  * [new tag]                 v2.3.0-rc8                  -> v2.3.0-rc8
2025-11-03T16:12:51.5507116Z  * [new tag]                 v2.3.0-rc9                  -> v2.3.0-rc9
2025-11-03T16:12:51.5507451Z  * [new tag]                 v2.3.1                      -> v2.3.1
2025-11-03T16:12:51.5508153Z  * [new tag]                 v2.3.1-rc1                  -> v2.3.1-rc1
2025-11-03T16:12:51.5508554Z  * [new tag]                 v2.3.1-rc2                  -> v2.3.1-rc2
2025-11-03T16:12:51.5509115Z  * [new tag]                 v2.3.1-rc3                  -> v2.3.1-rc3
2025-11-03T16:12:51.5509632Z  * [new tag]                 v2.4.0                      -> v2.4.0
2025-11-03T16:12:51.5510027Z  * [new tag]                 v2.4.0-rc1                  -> v2.4.0-rc1
2025-11-03T16:12:51.5510589Z  * [new tag]                 v2.4.0-rc2                  -> v2.4.0-rc2
2025-11-03T16:12:51.5510967Z  * [new tag]                 v2.4.0-rc3                  -> v2.4.0-rc3
2025-11-03T16:12:51.5511528Z  * [new tag]                 v2.4.0-rc4                  -> v2.4.0-rc4
2025-11-03T16:12:51.5512087Z  * [new tag]                 v2.4.0-rc5                  -> v2.4.0-rc5
2025-11-03T16:12:51.5512472Z  * [new tag]                 v2.4.0-rc6                  -> v2.4.0-rc6
2025-11-03T16:12:51.5513040Z  * [new tag]                 v2.4.0-rc7                  -> v2.4.0-rc7
2025-11-03T16:12:51.5513428Z  * [new tag]                 v2.4.0-rc8                  -> v2.4.0-rc8
2025-11-03T16:12:51.5514074Z  * [new tag]                 v2.4.0-rc9                  -> v2.4.0-rc9
2025-11-03T16:12:51.5514360Z  * [new tag]                 v2.4.1                      -> v2.4.1
2025-11-03T16:12:51.5515030Z  * [new tag]                 v2.4.1-rc1                  -> v2.4.1-rc1
2025-11-03T16:12:51.5515464Z  * [new tag]                 v2.4.1-rc2                  -> v2.4.1-rc2
2025-11-03T16:12:51.5516025Z  * [new tag]                 v2.4.1-rc3                  -> v2.4.1-rc3
2025-11-03T16:12:51.5516427Z  * [new tag]                 v2.5.0                      -> v2.5.0
2025-11-03T16:12:51.5516985Z  * [new tag]                 v2.5.0-rc1                  -> v2.5.0-rc1
2025-11-03T16:12:51.5517199Z  * [new tag]                 v2.5.0-rc10                 -> v2.5.0-rc10
2025-11-03T16:12:51.5517772Z  * [new tag]                 v2.5.0-rc2                  -> v2.5.0-rc2
2025-11-03T16:12:51.5518152Z  * [new tag]                 v2.5.0-rc3                  -> v2.5.0-rc3
2025-11-03T16:12:51.5518991Z  * [new tag]                 v2.5.0-rc4                  -> v2.5.0-rc4
2025-11-03T16:12:51.5519461Z  * [new tag]                 v2.5.0-rc5                  -> v2.5.0-rc5
2025-11-03T16:12:51.5520040Z  * [new tag]                 v2.5.0-rc6                  -> v2.5.0-rc6
2025-11-03T16:12:51.5520415Z  * [new tag]                 v2.5.0-rc7                  -> v2.5.0-rc7
2025-11-03T16:12:51.5521011Z  * [new tag]                 v2.5.0-rc8                  -> v2.5.0-rc8
2025-11-03T16:12:51.5521384Z  * [new tag]                 v2.5.0-rc9                  -> v2.5.0-rc9
2025-11-03T16:12:51.5521742Z  * [new tag]                 v2.5.1                      -> v2.5.1
2025-11-03T16:12:51.5522272Z  * [new tag]                 v2.5.1-rc1                  -> v2.5.1-rc1
2025-11-03T16:12:51.5522469Z  * [new tag]                 v2.6.0                      -> v2.6.0
2025-11-03T16:12:51.5523127Z  * [new tag]                 v2.6.0-rc1                  -> v2.6.0-rc1
2025-11-03T16:12:51.5523635Z  * [new tag]                 v2.6.0-rc2                  -> v2.6.0-rc2
2025-11-03T16:12:51.5524104Z  * [new tag]                 v2.6.0-rc3                  -> v2.6.0-rc3
2025-11-03T16:12:51.5524611Z  * [new tag]                 v2.6.0-rc4                  -> v2.6.0-rc4
2025-11-03T16:12:51.5525248Z  * [new tag]                 v2.6.0-rc5                  -> v2.6.0-rc5
2025-11-03T16:12:51.5525845Z  * [new tag]                 v2.6.0-rc6                  -> v2.6.0-rc6
2025-11-03T16:12:51.5526402Z  * [new tag]                 v2.6.0-rc7                  -> v2.6.0-rc7
2025-11-03T16:12:51.5526967Z  * [new tag]                 v2.6.0-rc8                  -> v2.6.0-rc8
2025-11-03T16:12:51.5527366Z  * [new tag]                 v2.6.0-rc9                  -> v2.6.0-rc9
2025-11-03T16:12:51.5528105Z  * [new tag]                 v2.7.0                      -> v2.7.0
2025-11-03T16:12:51.5528479Z  * [new tag]                 v2.7.0-rc1                  -> v2.7.0-rc1
2025-11-03T16:12:51.5528871Z  * [new tag]                 v2.7.0-rc10                 -> v2.7.0-rc10
2025-11-03T16:12:51.5529493Z  * [new tag]                 v2.7.0-rc2                  -> v2.7.0-rc2
2025-11-03T16:12:51.5530056Z  * [new tag]                 v2.7.0-rc3                  -> v2.7.0-rc3
2025-11-03T16:12:51.5530414Z  * [new tag]                 v2.7.0-rc4                  -> v2.7.0-rc4
2025-11-03T16:12:51.5531031Z  * [new tag]                 v2.7.0-rc5                  -> v2.7.0-rc5
2025-11-03T16:12:51.5531540Z  * [new tag]                 v2.7.0-rc6                  -> v2.7.0-rc6
2025-11-03T16:12:51.5531941Z  * [new tag]                 v2.7.0-rc7                  -> v2.7.0-rc7
2025-11-03T16:12:51.5532579Z  * [new tag]                 v2.7.0-rc8                  -> v2.7.0-rc8
2025-11-03T16:12:51.5533080Z  * [new tag]                 v2.7.0-rc9                  -> v2.7.0-rc9
2025-11-03T16:12:51.5533313Z  * [new tag]                 v2.7.1                      -> v2.7.1
2025-11-03T16:12:51.5533979Z  * [new tag]                 v2.7.1-rc1                  -> v2.7.1-rc1
2025-11-03T16:12:51.5534536Z  * [new tag]                 v2.7.1-rc2                  -> v2.7.1-rc2
2025-11-03T16:12:51.5535118Z  * [new tag]                 v2.7.1-rc3                  -> v2.7.1-rc3
2025-11-03T16:12:51.5535639Z  * [new tag]                 v2.7.1-rc4                  -> v2.7.1-rc4
2025-11-03T16:12:51.5536172Z  * [new tag]                 v2.7.1-rc5                  -> v2.7.1-rc5
2025-11-03T16:12:51.5536401Z  * [new tag]                 v2.8.0                      -> v2.8.0
2025-11-03T16:12:51.5537122Z  * [new tag]                 v2.8.0-rc1                  -> v2.8.0-rc1
2025-11-03T16:12:51.5537515Z  * [new tag]                 v2.8.0-rc2                  -> v2.8.0-rc2
2025-11-03T16:12:51.5538140Z  * [new tag]                 v2.8.0-rc3                  -> v2.8.0-rc3
2025-11-03T16:12:51.5538659Z  * [new tag]                 v2.8.0-rc4                  -> v2.8.0-rc4
2025-11-03T16:12:51.5539185Z  * [new tag]                 v2.8.0-rc5                  -> v2.8.0-rc5
2025-11-03T16:12:51.5539706Z  * [new tag]                 v2.8.0-rc6                  -> v2.8.0-rc6
2025-11-03T16:12:51.5540219Z  * [new tag]                 v2.8.0-rc7                  -> v2.8.0-rc7
2025-11-03T16:12:51.5540622Z  * [new tag]                 v2.8.0-rc8                  -> v2.8.0-rc8
2025-11-03T16:12:51.5541226Z  * [new tag]                 v2.9.0                      -> v2.9.0
2025-11-03T16:12:51.5541742Z  * [new tag]                 v2.9.0-rc1                  -> v2.9.0-rc1
2025-11-03T16:12:51.5542152Z  * [new tag]                 v2.9.0-rc10                 -> v2.9.0-rc10
2025-11-03T16:12:51.5542517Z  * [new tag]                 v2.9.0-rc11                 -> v2.9.0-rc11
2025-11-03T16:12:51.5543302Z  * [new tag]                 v2.9.0-rc2                  -> v2.9.0-rc2
2025-11-03T16:12:51.5543823Z  * [new tag]                 v2.9.0-rc3                  -> v2.9.0-rc3
2025-11-03T16:12:51.5544336Z  * [new tag]                 v2.9.0-rc4                  -> v2.9.0-rc4
2025-11-03T16:12:51.5544851Z  * [new tag]                 v2.9.0-rc5                  -> v2.9.0-rc5
2025-11-03T16:12:51.5545506Z  * [new tag]                 v2.9.0-rc6                  -> v2.9.0-rc6
2025-11-03T16:12:51.5545859Z  * [new tag]                 v2.9.0-rc7                  -> v2.9.0-rc7
2025-11-03T16:12:51.5546560Z  * [new tag]                 v2.9.0-rc8                  -> v2.9.0-rc8
2025-11-03T16:12:51.5546809Z  * [new tag]                 v2.9.0-rc9                  -> v2.9.0-rc9
2025-11-03T16:12:51.5547697Z  * [new tag]                 viable/strict/1759343184    -> viable/strict/1759343184
2025-11-03T16:12:51.5548058Z  * [new tag]                 viable/strict/1759346540    -> viable/strict/1759346540
2025-11-03T16:12:51.5548618Z  * [new tag]                 viable/strict/1759348181    -> viable/strict/1759348181
2025-11-03T16:12:51.5548950Z  * [new tag]                 viable/strict/1759350324    -> viable/strict/1759350324
2025-11-03T16:12:51.5549503Z  * [new tag]                 viable/strict/1759351793    -> viable/strict/1759351793
2025-11-03T16:12:51.5549843Z  * [new tag]                 viable/strict/1759353844    -> viable/strict/1759353844
2025-11-03T16:12:51.5550282Z  * [new tag]                 viable/strict/1759355374    -> viable/strict/1759355374
2025-11-03T16:12:51.5551101Z  * [new tag]                 viable/strict/1759357472    -> viable/strict/1759357472
2025-11-03T16:12:51.5551447Z  * [new tag]                 viable/strict/1759361002    -> viable/strict/1759361002
2025-11-03T16:12:51.5552168Z  * [new tag]                 viable/strict/1759362585    -> viable/strict/1759362585
2025-11-03T16:12:51.5552932Z  * [new tag]                 viable/strict/1759365359    -> viable/strict/1759365359
2025-11-03T16:12:51.5553323Z  * [new tag]                 viable/strict/1759370089    -> viable/strict/1759370089
2025-11-03T16:12:51.5553886Z  * [new tag]                 viable/strict/1759377554    -> viable/strict/1759377554
2025-11-03T16:12:51.5554232Z  * [new tag]                 viable/strict/1759379133    -> viable/strict/1759379133
2025-11-03T16:12:51.5554851Z  * [new tag]                 viable/strict/1759389871    -> viable/strict/1759389871
2025-11-03T16:12:51.5555298Z  * [new tag]                 viable/strict/1759393562    -> viable/strict/1759393562
2025-11-03T16:12:51.5555834Z  * [new tag]                 viable/strict/1759395076    -> viable/strict/1759395076
2025-11-03T16:12:51.5556255Z  * [new tag]                 viable/strict/1759398579    -> viable/strict/1759398579
2025-11-03T16:12:51.5556888Z  * [new tag]                 viable/strict/1759404142    -> viable/strict/1759404142
2025-11-03T16:12:51.5557170Z  * [new tag]                 viable/strict/1759405773    -> viable/strict/1759405773
2025-11-03T16:12:51.5557596Z  * [new tag]                 viable/strict/1759408041    -> viable/strict/1759408041
2025-11-03T16:12:51.5558178Z  * [new tag]                 viable/strict/1759411593    -> viable/strict/1759411593
2025-11-03T16:12:51.5558489Z  * [new tag]                 viable/strict/1759427395    -> viable/strict/1759427395
2025-11-03T16:12:51.5558902Z  * [new tag]                 viable/strict/1759434582    -> viable/strict/1759434582
2025-11-03T16:12:51.5559545Z  * [new tag]                 viable/strict/1759436720    -> viable/strict/1759436720
2025-11-03T16:12:51.5559801Z  * [new tag]                 viable/strict/1759440219    -> viable/strict/1759440219
2025-11-03T16:12:51.5560358Z  * [new tag]                 viable/strict/1759441948    -> viable/strict/1759441948
2025-11-03T16:12:51.5560708Z  * [new tag]                 viable/strict/1759443860    -> viable/strict/1759443860
2025-11-03T16:12:51.5561210Z  * [new tag]                 viable/strict/1759445377    -> viable/strict/1759445377
2025-11-03T16:12:51.5561721Z  * [new tag]                 viable/strict/1759447415    -> viable/strict/1759447415
2025-11-03T16:12:51.5562270Z  * [new tag]                 viable/strict/1759451750    -> viable/strict/1759451750
2025-11-03T16:12:51.5562774Z  * [new tag]                 viable/strict/1759453910    -> viable/strict/1759453910
2025-11-03T16:12:51.5563172Z  * [new tag]                 viable/strict/1759456483    -> viable/strict/1759456483
2025-11-03T16:12:51.5563706Z  * [new tag]                 viable/strict/1759459279    -> viable/strict/1759459279
2025-11-03T16:12:51.5564127Z  * [new tag]                 viable/strict/1759460742    -> viable/strict/1759460742
2025-11-03T16:12:51.5564573Z  * [new tag]                 viable/strict/1759462025    -> viable/strict/1759462025
2025-11-03T16:12:51.5565060Z  * [new tag]                 viable/strict/1759469086    -> viable/strict/1759469086
2025-11-03T16:12:51.5565479Z  * [new tag]                 viable/strict/1759470581    -> viable/strict/1759470581
2025-11-03T16:12:51.5565974Z  * [new tag]                 viable/strict/1759472786    -> viable/strict/1759472786
2025-11-03T16:12:51.5566600Z  * [new tag]                 viable/strict/1759476294    -> viable/strict/1759476294
2025-11-03T16:12:51.5567014Z  * [new tag]                 viable/strict/1759479963    -> viable/strict/1759479963
2025-11-03T16:12:51.5567454Z  * [new tag]                 viable/strict/1759492177    -> viable/strict/1759492177
2025-11-03T16:12:51.5567995Z  * [new tag]                 viable/strict/1759519278    -> viable/strict/1759519278
2025-11-03T16:12:51.5568777Z  * [new tag]                 viable/strict/1759524580    -> viable/strict/1759524580
2025-11-03T16:12:51.5568987Z  * [new tag]                 viable/strict/1759528193    -> viable/strict/1759528193
2025-11-03T16:12:51.5569406Z  * [new tag]                 viable/strict/1759533797    -> viable/strict/1759533797
2025-11-03T16:12:51.5569801Z  * [new tag]                 viable/strict/1759542780    -> viable/strict/1759542780
2025-11-03T16:12:51.5570343Z  * [new tag]                 viable/strict/1759549779    -> viable/strict/1759549779
2025-11-03T16:12:51.5570756Z  * [new tag]                 viable/strict/1759555455    -> viable/strict/1759555455
2025-11-03T16:12:51.5570952Z  * [new tag]                 viable/strict/1759559176    -> viable/strict/1759559176
2025-11-03T16:12:51.5571508Z  * [new tag]                 viable/strict/1759560629    -> viable/strict/1759560629
2025-11-03T16:12:51.5571942Z  * [new tag]                 viable/strict/1759569848    -> viable/strict/1759569848
2025-11-03T16:12:51.5572610Z  * [new tag]                 viable/strict/1759571382    -> viable/strict/1759571382
2025-11-03T16:12:51.5573009Z  * [new tag]                 viable/strict/1759573474    -> viable/strict/1759573474
2025-11-03T16:12:51.5573548Z  * [new tag]                 viable/strict/1759618187    -> viable/strict/1759618187
2025-11-03T16:12:51.5573932Z  * [new tag]                 viable/strict/1759626742    -> viable/strict/1759626742
2025-11-03T16:12:51.5574507Z  * [new tag]                 viable/strict/1759632427    -> viable/strict/1759632427
2025-11-03T16:12:51.5574867Z  * [new tag]                 viable/strict/1759634971    -> viable/strict/1759634971
2025-11-03T16:12:51.5575466Z  * [new tag]                 viable/strict/1759661382    -> viable/strict/1759661382
2025-11-03T16:12:51.5575895Z  * [new tag]                 viable/strict/1759663294    -> viable/strict/1759663294
2025-11-03T16:12:51.5576182Z  * [new tag]                 viable/strict/1759708178    -> viable/strict/1759708178
2025-11-03T16:12:51.5576734Z  * [new tag]                 viable/strict/1759715695    -> viable/strict/1759715695
2025-11-03T16:12:51.5577298Z  * [new tag]                 viable/strict/1759728293    -> viable/strict/1759728293
2025-11-03T16:12:51.5577635Z  * [new tag]                 viable/strict/1759735513    -> viable/strict/1759735513
2025-11-03T16:12:51.5578167Z  * [new tag]                 viable/strict/1759739177    -> viable/strict/1759739177
2025-11-03T16:12:51.5578533Z  * [new tag]                 viable/strict/1759758635    -> viable/strict/1759758635
2025-11-03T16:12:51.5579065Z  * [new tag]                 viable/strict/1759765784    -> viable/strict/1759765784
2025-11-03T16:12:51.5579419Z  * [new tag]                 viable/strict/1759767948    -> viable/strict/1759767948
2025-11-03T16:12:51.5580167Z  * [new tag]                 viable/strict/1759771461    -> viable/strict/1759771461
2025-11-03T16:12:51.5580414Z  * [new tag]                 viable/strict/1759776706    -> viable/strict/1759776706
2025-11-03T16:12:51.5580996Z  * [new tag]                 viable/strict/1759782317    -> viable/strict/1759782317
2025-11-03T16:12:51.5581824Z  * [new tag]                 viable/strict/1759783777    -> viable/strict/1759783777
2025-11-03T16:12:51.5582388Z  * [new tag]                 viable/strict/1759785815    -> viable/strict/1759785815
2025-11-03T16:12:51.5582688Z  * [new tag]                 viable/strict/1759789459    -> viable/strict/1759789459
2025-11-03T16:12:51.5583026Z  * [new tag]                 viable/strict/1759790974    -> viable/strict/1759790974
2025-11-03T16:12:51.5583387Z  * [new tag]                 viable/strict/1759794583    -> viable/strict/1759794583
2025-11-03T16:12:51.5583879Z  * [new tag]                 viable/strict/1759797408    -> viable/strict/1759797408
2025-11-03T16:12:51.5584279Z  * [new tag]                 viable/strict/1759799518    -> viable/strict/1759799518
2025-11-03T16:12:51.5584806Z  * [new tag]                 viable/strict/1759804909    -> viable/strict/1759804909
2025-11-03T16:12:51.5585201Z  * [new tag]                 viable/strict/1759807643    -> viable/strict/1759807643
2025-11-03T16:12:51.5585584Z  * [new tag]                 viable/strict/1759809089    -> viable/strict/1759809089
2025-11-03T16:12:51.5585984Z  * [new tag]                 viable/strict/1759811145    -> viable/strict/1759811145
2025-11-03T16:12:51.5586511Z  * [new tag]                 viable/strict/1759812581    -> viable/strict/1759812581
2025-11-03T16:12:51.5586897Z  * [new tag]                 viable/strict/1759814683    -> viable/strict/1759814683
2025-11-03T16:12:51.5587439Z  * [new tag]                 viable/strict/1759821889    -> viable/strict/1759821889
2025-11-03T16:12:51.5587866Z  * [new tag]                 viable/strict/1759823376    -> viable/strict/1759823376
2025-11-03T16:12:51.5588407Z  * [new tag]                 viable/strict/1759827107    -> viable/strict/1759827107
2025-11-03T16:12:51.5588774Z  * [new tag]                 viable/strict/1759830577    -> viable/strict/1759830577
2025-11-03T16:12:51.5589381Z  * [new tag]                 viable/strict/1759832720    -> viable/strict/1759832720
2025-11-03T16:12:51.5589732Z  * [new tag]                 viable/strict/1759842063    -> viable/strict/1759842063
2025-11-03T16:12:51.5590218Z  * [new tag]                 viable/strict/1759847121    -> viable/strict/1759847121
2025-11-03T16:12:51.5590900Z  * [new tag]                 viable/strict/1759850721    -> viable/strict/1759850721
2025-11-03T16:12:51.5591218Z  * [new tag]                 viable/strict/1759857870    -> viable/strict/1759857870
2025-11-03T16:12:51.5591637Z  * [new tag]                 viable/strict/1759863143    -> viable/strict/1759863143
2025-11-03T16:12:51.5592197Z  * [new tag]                 viable/strict/1759875874    -> viable/strict/1759875874
2025-11-03T16:12:51.5592599Z  * [new tag]                 viable/strict/1759877385    -> viable/strict/1759877385
2025-11-03T16:12:51.5593033Z  * [new tag]                 viable/strict/1759883801    -> viable/strict/1759883801
2025-11-03T16:12:51.5593682Z  * [new tag]                 viable/strict/1759885922    -> viable/strict/1759885922
2025-11-03T16:12:51.5593974Z  * [new tag]                 viable/strict/1759888488    -> viable/strict/1759888488
2025-11-03T16:12:51.5594415Z  * [new tag]                 viable/strict/1759895471    -> viable/strict/1759895471
2025-11-03T16:12:51.5594892Z  * [new tag]                 viable/strict/1759904803    -> viable/strict/1759904803
2025-11-03T16:12:51.5595681Z  * [new tag]                 viable/strict/1759908300    -> viable/strict/1759908300
2025-11-03T16:12:51.5595975Z  * [new tag]                 viable/strict/1759915520    -> viable/strict/1759915520
2025-11-03T16:12:51.5596569Z  * [new tag]                 viable/strict/1759916978    -> viable/strict/1759916978
2025-11-03T16:12:51.5596841Z  * [new tag]                 viable/strict/1759930024    -> viable/strict/1759930024
2025-11-03T16:12:51.5597428Z  * [new tag]                 viable/strict/1759948122    -> viable/strict/1759948122
2025-11-03T16:12:51.5597823Z  * [new tag]                 viable/strict/1759952983    -> viable/strict/1759952983
2025-11-03T16:12:51.5598197Z  * [new tag]                 viable/strict/1759955121    -> viable/strict/1759955121
2025-11-03T16:12:51.5598624Z  * [new tag]                 viable/strict/1759962298    -> viable/strict/1759962298
2025-11-03T16:12:51.5598944Z  * [new tag]                 viable/strict/1759965837    -> viable/strict/1759965837
2025-11-03T16:12:51.5599530Z  * [new tag]                 viable/strict/1759970213    -> viable/strict/1759970213
2025-11-03T16:12:51.5599904Z  * [new tag]                 viable/strict/1759974894    -> viable/strict/1759974894
2025-11-03T16:12:51.5600339Z  * [new tag]                 viable/strict/1759977763    -> viable/strict/1759977763
2025-11-03T16:12:51.5600931Z  * [new tag]                 viable/strict/1759979241    -> viable/strict/1759979241
2025-11-03T16:12:51.5601377Z  * [new tag]                 viable/strict/1759985417    -> viable/strict/1759985417
2025-11-03T16:12:51.5601805Z  * [new tag]                 viable/strict/1759987490    -> viable/strict/1759987490
2025-11-03T16:12:51.5602267Z  * [new tag]                 viable/strict/1759996180    -> viable/strict/1759996180
2025-11-03T16:12:51.5602807Z  * [new tag]                 viable/strict/1760065682    -> viable/strict/1760065682
2025-11-03T16:12:51.5603214Z  * [new tag]                 viable/strict/1760066894    -> viable/strict/1760066894
2025-11-03T16:12:51.5603748Z  * [new tag]                 viable/strict/1760070345    -> viable/strict/1760070345
2025-11-03T16:12:51.5604090Z  * [new tag]                 viable/strict/1760089782    -> viable/strict/1760089782
2025-11-03T16:12:51.5604628Z  * [new tag]                 viable/strict/1760091921    -> viable/strict/1760091921
2025-11-03T16:12:51.5605170Z  * [new tag]                 viable/strict/1760127924    -> viable/strict/1760127924
2025-11-03T16:12:51.5605475Z  * [new tag]                 viable/strict/1760129489    -> viable/strict/1760129489
2025-11-03T16:12:51.5606067Z  * [new tag]                 viable/strict/1760132980    -> viable/strict/1760132980
2025-11-03T16:12:51.5606449Z  * [new tag]                 viable/strict/1760135060    -> viable/strict/1760135060
2025-11-03T16:12:51.5607230Z  * [new tag]                 viable/strict/1760215782    -> viable/strict/1760215782
2025-11-03T16:12:51.5607626Z  * [new tag]                 viable/strict/1760273849    -> viable/strict/1760273849
2025-11-03T16:12:51.5608160Z  * [new tag]                 viable/strict/1760275517    -> viable/strict/1760275517
2025-11-03T16:12:51.5608506Z  * [new tag]                 viable/strict/1760276979    -> viable/strict/1760276979
2025-11-03T16:12:51.5608896Z  * [new tag]                 viable/strict/1760279007    -> viable/strict/1760279007
2025-11-03T16:12:51.5609284Z  * [new tag]                 viable/strict/1760286328    -> viable/strict/1760286328
2025-11-03T16:12:51.5609575Z  * [new tag]                 viable/strict/1760493304    -> viable/strict/1760493304
2025-11-03T16:12:51.5609938Z  * [new tag]                 viable/strict/1760496298    -> viable/strict/1760496298
2025-11-03T16:12:51.5610483Z  * [new tag]                 viable/strict/1760518396    -> viable/strict/1760518396
2025-11-03T16:12:51.5611240Z  * [new tag]                 viable/strict/1760534864    -> viable/strict/1760534864
2025-11-03T16:12:51.5611563Z  * [new tag]                 viable/strict/1760549062    -> viable/strict/1760549062
2025-11-03T16:12:51.5612132Z  * [new tag]                 viable/strict/1760552799    -> viable/strict/1760552799
2025-11-03T16:12:51.5612521Z  * [new tag]                 viable/strict/1760554355    -> viable/strict/1760554355
2025-11-03T16:12:51.5613144Z  * [new tag]                 viable/strict/1760556275    -> viable/strict/1760556275
2025-11-03T16:12:51.5613470Z  * [new tag]                 viable/strict/1760564979    -> viable/strict/1760564979
2025-11-03T16:12:51.5614041Z  * [new tag]                 viable/strict/1760567049    -> viable/strict/1760567049
2025-11-03T16:12:51.5614819Z  * [new tag]                 viable/strict/1760568585    -> viable/strict/1760568585
2025-11-03T16:12:51.5615182Z  * [new tag]                 viable/strict/1760570630    -> viable/strict/1760570630
2025-11-03T16:12:51.5615706Z  * [new tag]                 viable/strict/1760572180    -> viable/strict/1760572180
2025-11-03T16:12:51.5616104Z  * [new tag]                 viable/strict/1760575094    -> viable/strict/1760575094
2025-11-03T16:12:51.5616710Z  * [new tag]                 viable/strict/1760579709    -> viable/strict/1760579709
2025-11-03T16:12:51.5617512Z  * [new tag]                 viable/strict/1760582614    -> viable/strict/1760582614
2025-11-03T16:12:51.5617897Z  * [new tag]                 viable/strict/1760586815    -> viable/strict/1760586815
2025-11-03T16:12:51.5618232Z  * [new tag]                 viable/strict/1760588829    -> viable/strict/1760588829
2025-11-03T16:12:51.5618806Z  * [new tag]                 viable/strict/1760590200    -> viable/strict/1760590200
2025-11-03T16:12:51.5619194Z  * [new tag]                 viable/strict/1760592311    -> viable/strict/1760592311
2025-11-03T16:12:51.5619663Z  * [new tag]                 viable/strict/1760619733    -> viable/strict/1760619733
2025-11-03T16:12:51.5619975Z  * [new tag]                 viable/strict/1760628335    -> viable/strict/1760628335
2025-11-03T16:12:51.5620580Z  * [new tag]                 viable/strict/1760635490    -> viable/strict/1760635490
2025-11-03T16:12:51.5620899Z  * [new tag]                 viable/strict/1760640743    -> viable/strict/1760640743
2025-11-03T16:12:51.5621561Z  * [new tag]                 viable/strict/1760642528    -> viable/strict/1760642528
2025-11-03T16:12:51.5621947Z  * [new tag]                 viable/strict/1760646330    -> viable/strict/1760646330
2025-11-03T16:12:51.5622564Z  * [new tag]                 viable/strict/1760666101    -> viable/strict/1760666101
2025-11-03T16:12:51.5622929Z  * [new tag]                 viable/strict/1760668990    -> viable/strict/1760668990
2025-11-03T16:12:51.5623402Z  * [new tag]                 viable/strict/1760670600    -> viable/strict/1760670600
2025-11-03T16:12:51.5623808Z  * [new tag]                 viable/strict/1760671704    -> viable/strict/1760671704
2025-11-03T16:12:51.5624280Z  * [new tag]                 viable/strict/1760673121    -> viable/strict/1760673121
2025-11-03T16:12:51.5624702Z  * [new tag]                 viable/strict/1760675352    -> viable/strict/1760675352
2025-11-03T16:12:51.5625232Z  * [new tag]                 viable/strict/1760696731    -> viable/strict/1760696731
2025-11-03T16:12:51.5626745Z  * [new tag]                 viable/strict/1760723515    -> viable/strict/1760723515
2025-11-03T16:12:51.5627063Z  * [new tag]                 viable/strict/1760727234    -> viable/strict/1760727234
2025-11-03T16:12:51.5627737Z  * [new tag]                 viable/strict/1760730578    -> viable/strict/1760730578
2025-11-03T16:12:51.5627953Z  * [new tag]                 viable/strict/1760732726    -> viable/strict/1760732726
2025-11-03T16:12:51.5628545Z  * [new tag]                 viable/strict/1760734180    -> viable/strict/1760734180
2025-11-03T16:12:51.5628925Z  * [new tag]                 viable/strict/1760736251    -> viable/strict/1760736251
2025-11-03T16:12:51.5629472Z  * [new tag]                 viable/strict/1760737772    -> viable/strict/1760737772
2025-11-03T16:12:51.5629817Z  * [new tag]                 viable/strict/1760758005    -> viable/strict/1760758005
2025-11-03T16:12:51.5630352Z  * [new tag]                 viable/strict/1760761532    -> viable/strict/1760761532
2025-11-03T16:12:51.5630719Z  * [new tag]                 viable/strict/1760802581    -> viable/strict/1760802581
2025-11-03T16:12:51.5631264Z  * [new tag]                 viable/strict/1760827772    -> viable/strict/1760827772
2025-11-03T16:12:51.5631647Z  * [new tag]                 viable/strict/1760834524    -> viable/strict/1760834524
2025-11-03T16:12:51.5632032Z  * [new tag]                 viable/strict/1760845009    -> viable/strict/1760845009
2025-11-03T16:12:51.5632582Z  * [new tag]                 viable/strict/1760876836    -> viable/strict/1760876836
2025-11-03T16:12:51.5632968Z  * [new tag]                 viable/strict/1760880329    -> viable/strict/1760880329
2025-11-03T16:12:51.5633441Z  * [new tag]                 viable/strict/1760888987    -> viable/strict/1760888987
2025-11-03T16:12:51.5633880Z  * [new tag]                 viable/strict/1760912664    -> viable/strict/1760912664
2025-11-03T16:12:51.5634360Z  * [new tag]                 viable/strict/1760925321    -> viable/strict/1760925321
2025-11-03T16:12:51.5634770Z  * [new tag]                 viable/strict/1760931488    -> viable/strict/1760931488
2025-11-03T16:12:51.5635324Z  * [new tag]                 viable/strict/1760932693    -> viable/strict/1760932693
2025-11-03T16:12:51.5635887Z  * [new tag]                 viable/strict/1761004184    -> viable/strict/1761004184
2025-11-03T16:12:51.5636245Z  * [new tag]                 viable/strict/1761014748    -> viable/strict/1761014748
2025-11-03T16:12:51.5636610Z  * [new tag]                 viable/strict/1761017491    -> viable/strict/1761017491
2025-11-03T16:12:51.5637096Z  * [new tag]                 viable/strict/1761018806    -> viable/strict/1761018806
2025-11-03T16:12:51.5637451Z  * [new tag]                 viable/strict/1761020754    -> viable/strict/1761020754
2025-11-03T16:12:51.5638078Z  * [new tag]                 viable/strict/1761024303    -> viable/strict/1761024303
2025-11-03T16:12:51.5638431Z  * [new tag]                 viable/strict/1761029582    -> viable/strict/1761029582
2025-11-03T16:12:51.5638969Z  * [new tag]                 viable/strict/1761031535    -> viable/strict/1761031535
2025-11-03T16:12:51.5639315Z  * [new tag]                 viable/strict/1761035196    -> viable/strict/1761035196
2025-11-03T16:12:51.5639879Z  * [new tag]                 viable/strict/1761045825    -> viable/strict/1761045825
2025-11-03T16:12:51.5640372Z  * [new tag]                 viable/strict/1761054796    -> viable/strict/1761054796
2025-11-03T16:12:51.5640798Z  * [new tag]                 viable/strict/1761060314    -> viable/strict/1761060314
2025-11-03T16:12:51.5641336Z  * [new tag]                 viable/strict/1761071198    -> viable/strict/1761071198
2025-11-03T16:12:51.5641839Z  * [new tag]                 viable/strict/1761074628    -> viable/strict/1761074628
2025-11-03T16:12:51.5642598Z  * [new tag]                 viable/strict/1761078351    -> viable/strict/1761078351
2025-11-03T16:12:51.5643201Z  * [new tag]                 viable/strict/1761079822    -> viable/strict/1761079822
2025-11-03T16:12:51.5643468Z  * [new tag]                 viable/strict/1761081873    -> viable/strict/1761081873
2025-11-03T16:12:51.5644036Z  * [new tag]                 viable/strict/1761083392    -> viable/strict/1761083392
2025-11-03T16:12:51.5644459Z  * [new tag]                 viable/strict/1761085465    -> viable/strict/1761085465
2025-11-03T16:12:51.5644996Z  * [new tag]                 viable/strict/1761089099    -> viable/strict/1761089099
2025-11-03T16:12:51.5645352Z  * [new tag]                 viable/strict/1761095535    -> viable/strict/1761095535
2025-11-03T16:12:51.5645887Z  * [new tag]                 viable/strict/1761098119    -> viable/strict/1761098119
2025-11-03T16:12:51.5646685Z  * [new tag]                 viable/strict/1761101330    -> viable/strict/1761101330
2025-11-03T16:12:51.5647091Z  * [new tag]                 viable/strict/1761114425    -> viable/strict/1761114425
2025-11-03T16:12:51.5647636Z  * [new tag]                 viable/strict/1761116036    -> viable/strict/1761116036
2025-11-03T16:12:51.5647993Z  * [new tag]                 viable/strict/1761119379    -> viable/strict/1761119379
2025-11-03T16:12:51.5648572Z  * [new tag]                 viable/strict/1761121601    -> viable/strict/1761121601
2025-11-03T16:12:51.5648905Z  * [new tag]                 viable/strict/1761123234    -> viable/strict/1761123234
2025-11-03T16:12:51.5649382Z  * [new tag]                 viable/strict/1761126621    -> viable/strict/1761126621
2025-11-03T16:12:51.5650002Z  * [new tag]                 viable/strict/1761132259    -> viable/strict/1761132259
2025-11-03T16:12:51.5650433Z  * [new tag]                 viable/strict/1761146746    -> viable/strict/1761146746
2025-11-03T16:12:51.5650972Z  * [new tag]                 viable/strict/1761164752    -> viable/strict/1761164752
2025-11-03T16:12:51.5651313Z  * [new tag]                 viable/strict/1761166198    -> viable/strict/1761166198
2025-11-03T16:12:51.5651936Z  * [new tag]                 viable/strict/1761175424    -> viable/strict/1761175424
2025-11-03T16:12:51.5652277Z  * [new tag]                 viable/strict/1761176983    -> viable/strict/1761176983
2025-11-03T16:12:51.5652908Z  * [new tag]                 viable/strict/1761179891    -> viable/strict/1761179891
2025-11-03T16:12:51.5653197Z  * [new tag]                 viable/strict/1761181930    -> viable/strict/1761181930
2025-11-03T16:12:51.5653793Z  * [new tag]                 viable/strict/1761184516    -> viable/strict/1761184516
2025-11-03T16:12:51.5654459Z  * [new tag]                 viable/strict/1761190179    -> viable/strict/1761190179
2025-11-03T16:12:51.5654751Z  * [new tag]                 viable/strict/1761193558    -> viable/strict/1761193558
2025-11-03T16:12:51.5655291Z  * [new tag]                 viable/strict/1761207990    -> viable/strict/1761207990
2025-11-03T16:12:51.5655667Z  * [new tag]                 viable/strict/1761229539    -> viable/strict/1761229539
2025-11-03T16:12:51.5656354Z  * [new tag]                 viable/strict/1761244031    -> viable/strict/1761244031
2025-11-03T16:12:51.5656779Z  * [new tag]                 viable/strict/1761248986    -> viable/strict/1761248986
2025-11-03T16:12:51.5657169Z  * [new tag]                 viable/strict/1761259791    -> viable/strict/1761259791
2025-11-03T16:12:51.5657581Z  * [new tag]                 viable/strict/1761266139    -> viable/strict/1761266139
2025-11-03T16:12:51.5658145Z  * [new tag]                 viable/strict/1761268316    -> viable/strict/1761268316
2025-11-03T16:12:51.5658448Z  * [new tag]                 viable/strict/1761273805    -> viable/strict/1761273805
2025-11-03T16:12:51.5658996Z  * [new tag]                 viable/strict/1761275261    -> viable/strict/1761275261
2025-11-03T16:12:51.5659426Z  * [new tag]                 viable/strict/1761277913    -> viable/strict/1761277913
2025-11-03T16:12:51.5660043Z  * [new tag]                 viable/strict/1761290701    -> viable/strict/1761290701
2025-11-03T16:12:51.5660437Z  * [new tag]                 viable/strict/1761294396    -> viable/strict/1761294396
2025-11-03T16:12:51.5660986Z  * [new tag]                 viable/strict/1761303047    -> viable/strict/1761303047
2025-11-03T16:12:51.5661374Z  * [new tag]                 viable/strict/1761335388    -> viable/strict/1761335388
2025-11-03T16:12:51.5661982Z  * [new tag]                 viable/strict/1761337551    -> viable/strict/1761337551
2025-11-03T16:12:51.5662336Z  * [new tag]                 viable/strict/1761339007    -> viable/strict/1761339007
2025-11-03T16:12:51.5662700Z  * [new tag]                 viable/strict/1761341050    -> viable/strict/1761341050
2025-11-03T16:12:51.5663254Z  * [new tag]                 viable/strict/1761346188    -> viable/strict/1761346188
2025-11-03T16:12:51.5663940Z  * [new tag]                 viable/strict/1761349792    -> viable/strict/1761349792
2025-11-03T16:12:51.5664258Z  * [new tag]                 viable/strict/1761352620    -> viable/strict/1761352620
2025-11-03T16:12:51.5664635Z  * [new tag]                 viable/strict/1761354730    -> viable/strict/1761354730
2025-11-03T16:12:51.5665188Z  * [new tag]                 viable/strict/1761357298    -> viable/strict/1761357298
2025-11-03T16:12:51.5665604Z  * [new tag]                 viable/strict/1761360201    -> viable/strict/1761360201
2025-11-03T16:12:51.5666170Z  * [new tag]                 viable/strict/1761361753    -> viable/strict/1761361753
2025-11-03T16:12:51.5666515Z  * [new tag]                 viable/strict/1761364351    -> viable/strict/1761364351
2025-11-03T16:12:51.5667118Z  * [new tag]                 viable/strict/1761366338    -> viable/strict/1761366338
2025-11-03T16:12:51.5667703Z  * [new tag]                 viable/strict/1761367802    -> viable/strict/1761367802
2025-11-03T16:12:51.5668055Z  * [new tag]                 viable/strict/1761369889    -> viable/strict/1761369889
2025-11-03T16:12:51.5668598Z  * [new tag]                 viable/strict/1761371385    -> viable/strict/1761371385
2025-11-03T16:12:51.5669184Z  * [new tag]                 viable/strict/1761373581    -> viable/strict/1761373581
2025-11-03T16:12:51.5669779Z  * [new tag]                 viable/strict/1761375054    -> viable/strict/1761375054
2025-11-03T16:12:51.5670180Z  * [new tag]                 viable/strict/1761421785    -> viable/strict/1761421785
2025-11-03T16:12:51.5670834Z  * [new tag]                 viable/strict/1761434614    -> viable/strict/1761434614
2025-11-03T16:12:51.5671478Z  * [new tag]                 viable/strict/1761439254    -> viable/strict/1761439254
2025-11-03T16:12:51.5671871Z  * [new tag]                 viable/strict/1761454187    -> viable/strict/1761454187
2025-11-03T16:12:51.5672515Z  * [new tag]                 viable/strict/1761459991    -> viable/strict/1761459991
2025-11-03T16:12:51.5672938Z  * [new tag]                 viable/strict/1761470668    -> viable/strict/1761470668
2025-11-03T16:12:51.5673765Z  * [new tag]                 viable/strict/1761472188    -> viable/strict/1761472188
2025-11-03T16:12:51.5674548Z  * [new tag]                 viable/strict/1761503178    -> viable/strict/1761503178
2025-11-03T16:12:51.5674964Z  * [new tag]                 viable/strict/1761517492    -> viable/strict/1761517492
2025-11-03T16:12:51.5675531Z  * [new tag]                 viable/strict/1761518981    -> viable/strict/1761518981
2025-11-03T16:12:51.5675752Z  * [new tag]                 viable/strict/1761533609    -> viable/strict/1761533609
2025-11-03T16:12:51.5676138Z  * [new tag]                 viable/strict/1761546438    -> viable/strict/1761546438
2025-11-03T16:12:51.5676515Z  * [new tag]                 viable/strict/1761548133    -> viable/strict/1761548133
2025-11-03T16:12:51.5676894Z  * [new tag]                 viable/strict/1761555186    -> viable/strict/1761555186
2025-11-03T16:12:51.5677242Z  * [new tag]                 viable/strict/1761557178    -> viable/strict/1761557178
2025-11-03T16:12:51.5677558Z  * [new tag]                 viable/strict/1761560772    -> viable/strict/1761560772
2025-11-03T16:12:51.5677973Z  * [new tag]                 viable/strict/1761562266    -> viable/strict/1761562266
2025-11-03T16:12:51.5678528Z  * [new tag]                 viable/strict/1761564260    -> viable/strict/1761564260
2025-11-03T16:12:51.5678848Z  * [new tag]                 viable/strict/1761568072    -> viable/strict/1761568072
2025-11-03T16:12:51.5679285Z  * [new tag]                 viable/strict/1761571683    -> viable/strict/1761571683
2025-11-03T16:12:51.5679570Z  * [new tag]                 viable/strict/1761580199    -> viable/strict/1761580199
2025-11-03T16:12:51.5679975Z  * [new tag]                 viable/strict/1761587383    -> viable/strict/1761587383
2025-11-03T16:12:51.5680306Z  * [new tag]                 viable/strict/1761591165    -> viable/strict/1761591165
2025-11-03T16:12:51.5680737Z  * [new tag]                 viable/strict/1761594575    -> viable/strict/1761594575
2025-11-03T16:12:51.5681049Z  * [new tag]                 viable/strict/1761596710    -> viable/strict/1761596710
2025-11-03T16:12:51.5681451Z  * [new tag]                 viable/strict/1761598189    -> viable/strict/1761598189
2025-11-03T16:12:51.5681836Z  * [new tag]                 viable/strict/1761600254    -> viable/strict/1761600254
2025-11-03T16:12:51.5682184Z  * [new tag]                 viable/strict/1761603879    -> viable/strict/1761603879
2025-11-03T16:12:51.5682575Z  * [new tag]                 viable/strict/1761605429    -> viable/strict/1761605429
2025-11-03T16:12:51.5682936Z  * [new tag]                 viable/strict/1761607468    -> viable/strict/1761607468
2025-11-03T16:12:51.5683474Z  * [new tag]                 viable/strict/1761608983    -> viable/strict/1761608983
2025-11-03T16:12:51.5683749Z  * [new tag]                 viable/strict/1761611846    -> viable/strict/1761611846
2025-11-03T16:12:51.5684097Z  * [new tag]                 viable/strict/1761613922    -> viable/strict/1761613922
2025-11-03T16:12:51.5684480Z  * [new tag]                 viable/strict/1761616504    -> viable/strict/1761616504
2025-11-03T16:12:51.5684816Z  * [new tag]                 viable/strict/1761619599    -> viable/strict/1761619599
2025-11-03T16:12:51.5685219Z  * [new tag]                 viable/strict/1761686693    -> viable/strict/1761686693
2025-11-03T16:12:51.5685588Z  * [new tag]                 viable/strict/1761688179    -> viable/strict/1761688179
2025-11-03T16:12:51.5685940Z  * [new tag]                 viable/strict/1761691973    -> viable/strict/1761691973
2025-11-03T16:12:51.5686302Z  * [new tag]                 viable/strict/1761693884    -> viable/strict/1761693884
2025-11-03T16:12:51.5686659Z  * [new tag]                 viable/strict/1761695389    -> viable/strict/1761695389
2025-11-03T16:12:51.5687081Z  * [new tag]                 viable/strict/1761698408    -> viable/strict/1761698408
2025-11-03T16:12:51.5687438Z  * [new tag]                 viable/strict/1761702931    -> viable/strict/1761702931
2025-11-03T16:12:51.5687836Z  * [new tag]                 viable/strict/1761706307    -> viable/strict/1761706307
2025-11-03T16:12:51.5688244Z  * [new tag]                 viable/strict/1761709065    -> viable/strict/1761709065
2025-11-03T16:12:51.5688665Z  * [new tag]                 viable/strict/1761710285    -> viable/strict/1761710285
2025-11-03T16:12:51.5689057Z  * [new tag]                 viable/strict/1761711983    -> viable/strict/1761711983
2025-11-03T16:12:51.5689664Z  * [new tag]                 viable/strict/1761713514    -> viable/strict/1761713514
2025-11-03T16:12:51.5689987Z  * [new tag]                 viable/strict/1761715523    -> viable/strict/1761715523
2025-11-03T16:12:51.5690424Z  * [new tag]                 viable/strict/1761727973    -> viable/strict/1761727973
2025-11-03T16:12:51.5690821Z  * [new tag]                 viable/strict/1761751558    -> viable/strict/1761751558
2025-11-03T16:12:51.5691357Z  * [new tag]                 viable/strict/1761755187    -> viable/strict/1761755187
2025-11-03T16:12:51.5691704Z  * [new tag]                 viable/strict/1761756826    -> viable/strict/1761756826
2025-11-03T16:12:51.5692103Z  * [new tag]                 viable/strict/1761769551    -> viable/strict/1761769551
2025-11-03T16:12:51.5692653Z  * [new tag]                 viable/strict/1761771032    -> viable/strict/1761771032
2025-11-03T16:12:51.5692918Z  * [new tag]                 viable/strict/1761773101    -> viable/strict/1761773101
2025-11-03T16:12:51.5693515Z  * [new tag]                 viable/strict/1761781792    -> viable/strict/1761781792
2025-11-03T16:12:51.5693754Z  * [new tag]                 viable/strict/1761784788    -> viable/strict/1761784788
2025-11-03T16:12:51.5694157Z  * [new tag]                 viable/strict/1761786740    -> viable/strict/1761786740
2025-11-03T16:12:51.5694711Z  * [new tag]                 viable/strict/1761789332    -> viable/strict/1761789332
2025-11-03T16:12:51.5694990Z  * [new tag]                 viable/strict/1761792569    -> viable/strict/1761792569
2025-11-03T16:12:51.5695386Z  * [new tag]                 viable/strict/1761795289    -> viable/strict/1761795289
2025-11-03T16:12:51.5695922Z  * [new tag]                 viable/strict/1761798345    -> viable/strict/1761798345
2025-11-03T16:12:51.5696308Z  * [new tag]                 viable/strict/1761799827    -> viable/strict/1761799827
2025-11-03T16:12:51.5696715Z  * [new tag]                 viable/strict/1761805604    -> viable/strict/1761805604
2025-11-03T16:12:51.5697115Z  * [new tag]                 viable/strict/1761807202    -> viable/strict/1761807202
2025-11-03T16:12:51.5697522Z  * [new tag]                 viable/strict/1761809094    -> viable/strict/1761809094
2025-11-03T16:12:51.5697918Z  * [new tag]                 viable/strict/1761810576    -> viable/strict/1761810576
2025-11-03T16:12:51.5698441Z  * [new tag]                 viable/strict/1761812771    -> viable/strict/1761812771
2025-11-03T16:12:51.5698795Z  * [new tag]                 viable/strict/1761814363    -> viable/strict/1761814363
2025-11-03T16:12:51.5699197Z  * [new tag]                 viable/strict/1761857410    -> viable/strict/1761857410
2025-11-03T16:12:51.5699598Z  * [new tag]                 viable/strict/1761860985    -> viable/strict/1761860985
2025-11-03T16:12:51.5700380Z  * [new tag]                 viable/strict/1761863094    -> viable/strict/1761863094
2025-11-03T16:12:51.5700741Z  * [new tag]                 viable/strict/1761864590    -> viable/strict/1761864590
2025-11-03T16:12:51.5701149Z  * [new tag]                 viable/strict/1761866675    -> viable/strict/1761866675
2025-11-03T16:12:51.5701556Z  * [new tag]                 viable/strict/1761868178    -> viable/strict/1761868178
2025-11-03T16:12:51.5702173Z  * [new tag]                 viable/strict/1761871111    -> viable/strict/1761871111
2025-11-03T16:12:51.5702529Z  * [new tag]                 viable/strict/1761873126    -> viable/strict/1761873126
2025-11-03T16:12:51.5702931Z  * [new tag]                 viable/strict/1761875714    -> viable/strict/1761875714
2025-11-03T16:12:51.5703330Z  * [new tag]                 viable/strict/1761878924    -> viable/strict/1761878924
2025-11-03T16:12:51.5703768Z  * [new tag]                 viable/strict/1761881727    -> viable/strict/1761881727
2025-11-03T16:12:51.5704163Z  * [new tag]                 viable/strict/1761882959    -> viable/strict/1761882959
2025-11-03T16:12:51.5704576Z  * [new tag]                 viable/strict/1761886268    -> viable/strict/1761886268
2025-11-03T16:12:51.5705005Z  * [new tag]                 viable/strict/1761893641    -> viable/strict/1761893641
2025-11-03T16:12:51.5705430Z  * [new tag]                 viable/strict/1761931517    -> viable/strict/1761931517
2025-11-03T16:12:51.5705788Z  * [new tag]                 viable/strict/1761933080    -> viable/strict/1761933080
2025-11-03T16:12:51.5706211Z  * [new tag]                 viable/strict/1761935217    -> viable/strict/1761935217
2025-11-03T16:12:51.5706622Z  * [new tag]                 viable/strict/1761938533    -> viable/strict/1761938533
2025-11-03T16:12:51.5707013Z  * [new tag]                 viable/strict/1761940184    -> viable/strict/1761940184
2025-11-03T16:12:51.5707431Z  * [new tag]                 viable/strict/1761942338    -> viable/strict/1761942338
2025-11-03T16:12:51.5707843Z  * [new tag]                 viable/strict/1761946100    -> viable/strict/1761946100
2025-11-03T16:12:51.5708422Z  * [new tag]                 viable/strict/1761947374    -> viable/strict/1761947374
2025-11-03T16:12:51.5708766Z  * [new tag]                 viable/strict/1761950978    -> viable/strict/1761950978
2025-11-03T16:12:51.5709078Z  * [new tag]                 viable/strict/1761957727    -> viable/strict/1761957727
2025-11-03T16:12:51.5709518Z  * [new tag]                 viable/strict/1761959532    -> viable/strict/1761959532
2025-11-03T16:12:51.5710109Z  * [new tag]                 viable/strict/1761965366    -> viable/strict/1761965366
2025-11-03T16:12:51.5710430Z  * [new tag]                 viable/strict/1761968066    -> viable/strict/1761968066
2025-11-03T16:12:51.5710870Z  * [new tag]                 viable/strict/1761969322    -> viable/strict/1761969322
2025-11-03T16:12:51.5711250Z  * [new tag]                 viable/strict/1761974723    -> viable/strict/1761974723
2025-11-03T16:12:51.5711672Z  * [new tag]                 viable/strict/1761981837    -> viable/strict/1761981837
2025-11-03T16:12:51.5712076Z  * [new tag]                 viable/strict/1761985546    -> viable/strict/1761985546
2025-11-03T16:12:51.5712489Z  * [new tag]                 viable/strict/1761987030    -> viable/strict/1761987030
2025-11-03T16:12:51.5712900Z  * [new tag]                 viable/strict/1762003554    -> viable/strict/1762003554
2025-11-03T16:12:51.5713313Z  * [new tag]                 viable/strict/1762021560    -> viable/strict/1762021560
2025-11-03T16:12:51.5713739Z  * [new tag]                 viable/strict/1762032190    -> viable/strict/1762032190
2025-11-03T16:12:51.5714366Z  * [new tag]                 viable/strict/1762040981    -> viable/strict/1762040981
2025-11-03T16:12:51.5714696Z  * [new tag]                 viable/strict/1762048525    -> viable/strict/1762048525
2025-11-03T16:12:51.5715169Z  * [new tag]                 viable/strict/1762104223    -> viable/strict/1762104223
2025-11-03T16:12:51.5715535Z  * [new tag]                 viable/strict/1762105778    -> viable/strict/1762105778
2025-11-03T16:12:51.5715955Z  * [new tag]                 viable/strict/1762115109    -> viable/strict/1762115109
2025-11-03T16:12:51.5716376Z  * [new tag]                 viable/strict/1762125840    -> viable/strict/1762125840
2025-11-03T16:12:51.5716923Z  * [new tag]                 viable/strict/1762127377    -> viable/strict/1762127377
2025-11-03T16:12:51.5717299Z  * [new tag]                 viable/strict/1762134925    -> viable/strict/1762134925
2025-11-03T16:12:51.5717722Z  * [new tag]                 viable/strict/1762138338    -> viable/strict/1762138338
2025-11-03T16:12:51.5718109Z  * [new tag]                 viable/strict/1762148993    -> viable/strict/1762148993
2025-11-03T16:12:51.5718664Z  * [new tag]                 viable/strict/1762152871    -> viable/strict/1762152871
2025-11-03T16:12:51.5718991Z  * [new tag]                 viable/strict/1762156183    -> viable/strict/1762156183
2025-11-03T16:12:51.5719384Z  * [new tag]                 viable/strict/1762163457    -> viable/strict/1762163457
2025-11-03T16:12:51.5719803Z  * [new tag]                 viable/strict/1762165569    -> viable/strict/1762165569
2025-11-03T16:12:51.5720205Z  * [new tag]                 viable/strict/1762169035    -> viable/strict/1762169035
2025-11-03T16:12:51.5720602Z  * [new tag]                 viable/strict/1762174936    -> viable/strict/1762174936
2025-11-03T16:12:51.5721235Z  * [new tag]                 whc_flight_1                -> whc_flight_1
2025-11-03T16:12:51.5721757Z  * [new tag]                 whc_flight_2                -> whc_flight_2
2025-11-03T16:12:51.5722434Z  * [new tag]                 whc_flight_4                -> whc_flight_4
2025-11-03T16:12:51.6186971Z [command]/usr/bin/git rev-parse --verify --quiet 3f6538febd727b782e6e13cfd026a309fb14351d^{object}
2025-11-03T16:12:51.6205701Z 3f6538febd727b782e6e13cfd026a309fb14351d
2025-11-03T16:12:51.6207963Z ##[endgroup]
2025-11-03T16:12:51.6208190Z ##[group]Determining the checkout info
2025-11-03T16:12:51.6209006Z ##[endgroup]
2025-11-03T16:12:51.6211852Z [command]/usr/bin/git sparse-checkout disable
2025-11-03T16:12:51.6238610Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig
2025-11-03T16:12:51.6258107Z ##[group]Checking out the ref
2025-11-03T16:12:51.6260776Z [command]/usr/bin/git checkout --progress --force 3f6538febd727b782e6e13cfd026a309fb14351d
2025-11-03T16:12:52.6202257Z Note: switching to '3f6538febd727b782e6e13cfd026a309fb14351d'.
2025-11-03T16:12:52.6202485Z 
2025-11-03T16:12:52.6202649Z You are in 'detached HEAD' state. You can look around, make experimental
2025-11-03T16:12:52.6202969Z changes and commit them, and you can discard any commits you make in this
2025-11-03T16:12:52.6203310Z state without impacting any branches by switching back to a branch.
2025-11-03T16:12:52.6203489Z 
2025-11-03T16:12:52.6203628Z If you want to create a new branch to retain commits you create, you may
2025-11-03T16:12:52.6203923Z do so (now or later) by using -c with the switch command. Example:
2025-11-03T16:12:52.6204097Z 
2025-11-03T16:12:52.6204183Z   git switch -c <new-branch-name>
2025-11-03T16:12:52.6204317Z 
2025-11-03T16:12:52.6204395Z Or undo this operation with:
2025-11-03T16:12:52.6204542Z 
2025-11-03T16:12:52.6204623Z   git switch -
2025-11-03T16:12:52.6204714Z 
2025-11-03T16:12:52.6204864Z Turn off this advice by setting config variable advice.detachedHead to false
2025-11-03T16:12:52.6205072Z 
2025-11-03T16:12:52.6205198Z HEAD is now at 3f6538febd7 Remove tools from BC linter (#166858)
2025-11-03T16:12:52.6249543Z ##[endgroup]
2025-11-03T16:12:52.6249849Z ##[group]Setting up auth for fetching submodules
2025-11-03T16:12:52.6255632Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic ***
2025-11-03T16:12:52.6295562Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf
2025-11-03T16:12:52.6318430Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com:
2025-11-03T16:12:52.6339240Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com:
2025-11-03T16:12:52.6358380Z ##[endgroup]
2025-11-03T16:12:52.6358673Z ##[group]Fetching submodules
2025-11-03T16:12:52.6361045Z [command]/usr/bin/git submodule sync --recursive
2025-11-03T16:12:52.6613271Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive
2025-11-03T16:12:52.6864492Z Submodule 'android/libs/fbjni' (https://github.com/facebookincubator/fbjni.git) registered for path 'android/libs/fbjni'
2025-11-03T16:12:52.6865153Z Submodule 'third_party/NNPACK_deps/FP16' (https://github.com/Maratyszcza/FP16.git) registered for path 'third_party/FP16'
2025-11-03T16:12:52.6865734Z Submodule 'third_party/NNPACK_deps/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'third_party/FXdiv'
2025-11-03T16:12:52.6866304Z Submodule 'third_party/NNPACK' (https://github.com/Maratyszcza/NNPACK.git) registered for path 'third_party/NNPACK'
2025-11-03T16:12:52.6867371Z Submodule 'third_party/NVTX' (https://github.com/NVIDIA/NVTX.git) registered for path 'third_party/NVTX'
2025-11-03T16:12:52.6868866Z Submodule 'third_party/VulkanMemoryAllocator' (https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator.git) registered for path 'third_party/VulkanMemoryAllocator'
2025-11-03T16:12:52.6870052Z Submodule 'third_party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'third_party/XNNPACK'
2025-11-03T16:12:52.6871493Z Submodule 'third_party/aiter' (https://github.com/ROCm/aiter.git) registered for path 'third_party/aiter'
2025-11-03T16:12:52.6873044Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/benchmark'
2025-11-03T16:12:52.6874579Z Submodule 'third_party/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/composable_kernel'
2025-11-03T16:12:52.6876081Z Submodule 'third_party/cpp-httplib' (https://github.com/yhirose/cpp-httplib.git) registered for path 'third_party/cpp-httplib'
2025-11-03T16:12:52.6877582Z Submodule 'third_party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'third_party/cpuinfo'
2025-11-03T16:12:52.6879418Z Submodule 'third_party/cudnn_frontend' (https://github.com/NVIDIA/cudnn-frontend.git) registered for path 'third_party/cudnn_frontend'
2025-11-03T16:12:52.6880815Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/cutlass'
2025-11-03T16:12:52.6882468Z Submodule 'third_party/fbgemm' (https://github.com/pytorch/fbgemm) registered for path 'third_party/fbgemm'
2025-11-03T16:12:52.6884210Z Submodule 'third_party/flash-attention' (https://github.com/Dao-AILab/flash-attention.git) registered for path 'third_party/flash-attention'
2025-11-03T16:12:52.6887147Z Submodule 'third_party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'third_party/flatbuffers'
2025-11-03T16:12:52.6888937Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/fmt'
2025-11-03T16:12:52.6890853Z Submodule 'third_party/gemmlowp/gemmlowp' (https://github.com/google/gemmlowp.git) registered for path 'third_party/gemmlowp/gemmlowp'
2025-11-03T16:12:52.6892691Z Submodule 'third_party/gloo' (https://github.com/pytorch/gloo) registered for path 'third_party/gloo'
2025-11-03T16:12:52.6894661Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest'
2025-11-03T16:12:52.6896578Z Submodule 'third_party/ideep' (https://github.com/intel/ideep) registered for path 'third_party/ideep'
2025-11-03T16:12:52.6898572Z Submodule 'third_party/ittapi' (https://github.com/intel/ittapi.git) registered for path 'third_party/ittapi'
2025-11-03T16:12:52.6900616Z Submodule 'third_party/kineto' (https://github.com/pytorch/kineto) registered for path 'third_party/kineto'
2025-11-03T16:12:52.6902716Z Submodule 'third_party/kleidiai' (https://github.com/ARM-software/kleidiai.git) registered for path 'third_party/kleidiai'
2025-11-03T16:12:52.6904837Z Submodule 'third_party/mimalloc' (https://github.com/microsoft/mimalloc.git) registered for path 'third_party/mimalloc'
2025-11-03T16:12:52.6907002Z Submodule 'third_party/nlohmann' (https://github.com/nlohmann/json.git) registered for path 'third_party/nlohmann'
2025-11-03T16:12:52.6909139Z Submodule 'third_party/onnx' (https://github.com/onnx/onnx.git) registered for path 'third_party/onnx'
2025-11-03T16:12:52.6911500Z Submodule 'third_party/opentelemetry-cpp' (https://github.com/open-telemetry/opentelemetry-cpp.git) registered for path 'third_party/opentelemetry-cpp'
2025-11-03T16:12:52.6913681Z Submodule 'third_party/pocketfft' (https://github.com/mreineck/pocketfft) registered for path 'third_party/pocketfft'
2025-11-03T16:12:52.6916002Z Submodule 'third_party/protobuf' (https://github.com/protocolbuffers/protobuf.git) registered for path 'third_party/protobuf'
2025-11-03T16:12:52.6918450Z Submodule 'third_party/NNPACK_deps/psimd' (https://github.com/Maratyszcza/psimd.git) registered for path 'third_party/psimd'
2025-11-03T16:12:52.6920894Z Submodule 'third_party/NNPACK_deps/pthreadpool' (https://github.com/Maratyszcza/pthreadpool.git) registered for path 'third_party/pthreadpool'
2025-11-03T16:12:52.6924192Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/pybind11'
2025-11-03T16:12:52.6926727Z Submodule 'third_party/python-peachpy' (https://github.com/malfet/PeachPy.git) registered for path 'third_party/python-peachpy'
2025-11-03T16:12:52.6929176Z Submodule 'third_party/sleef' (https://github.com/shibatch/sleef) registered for path 'third_party/sleef'
2025-11-03T16:12:52.6931760Z Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe.git) registered for path 'third_party/tensorpipe'
2025-11-03T16:12:52.6953525Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/android/libs/fbjni'...
2025-11-03T16:12:52.9210331Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FXdiv'...
2025-11-03T16:12:52.9210912Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/psimd'...
2025-11-03T16:12:52.9212334Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FP16'...
2025-11-03T16:12:52.9258410Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NNPACK'...
2025-11-03T16:12:52.9338714Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NVTX'...
2025-11-03T16:12:53.1164619Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pthreadpool'...
2025-11-03T16:12:53.1165151Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pocketfft'...
2025-11-03T16:12:53.1165646Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/python-peachpy'...
2025-11-03T16:12:53.1166131Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep'...
2025-11-03T16:12:53.1166584Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gloo'...
2025-11-03T16:12:53.1167093Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gemmlowp/gemmlowp'...
2025-11-03T16:12:53.1167596Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe'...
2025-11-03T16:12:53.1168099Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/benchmark'...
2025-11-03T16:12:53.1168558Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ittapi'...
2025-11-03T16:12:53.2110423Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/VulkanMemoryAllocator'...
2025-11-03T16:12:54.0462194Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kleidiai'...
2025-11-03T16:12:54.0462733Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpuinfo'...
2025-11-03T16:12:54.0463282Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpp-httplib'...
2025-11-03T16:12:54.0463838Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention'...
2025-11-03T16:12:54.0464349Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/googletest'...
2025-11-03T16:12:54.0464861Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/sleef'...
2025-11-03T16:12:54.0465560Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/mimalloc'...
2025-11-03T16:12:54.0466114Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pybind11'...
2025-11-03T16:12:54.0466573Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fmt'...
2025-11-03T16:12:54.0467097Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cudnn_frontend'...
2025-11-03T16:12:54.0467581Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto'...
2025-11-03T16:12:54.1463350Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/XNNPACK'...
2025-11-03T16:13:02.2245426Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flatbuffers'...
2025-11-03T16:13:02.2245923Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cutlass'...
2025-11-03T16:13:02.2246353Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx'...
2025-11-03T16:13:02.2246752Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm'...
2025-11-03T16:13:02.2247186Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/composable_kernel'...
2025-11-03T16:13:02.2247604Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter'...
2025-11-03T16:13:02.2248017Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp'...
2025-11-03T16:13:02.2248441Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/nlohmann'...
2025-11-03T16:13:02.2249094Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf'...
2025-11-03T16:13:02.2367589Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f'
2025-11-03T16:13:02.2461269Z Submodule path 'third_party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3'
2025-11-03T16:13:02.2535656Z Submodule path 'third_party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1'
2025-11-03T16:13:02.2716347Z Submodule path 'third_party/NNPACK': checked out 'c07e3a0400713d546e0dea2d5466dd22ea389c73'
2025-11-03T16:13:02.3339334Z Submodule path 'third_party/NVTX': checked out '2942f167cc30c5e3a44a2aecd5b0d9c07ff61a07'
2025-11-03T16:13:02.3747871Z Submodule path 'third_party/VulkanMemoryAllocator': checked out '1d8f600fd424278486eade7ed3e877c99f0846b1'
2025-11-03T16:13:02.8650680Z Submodule path 'third_party/XNNPACK': checked out '51a0103656eff6fc9bfd39a4597923c4b542c883'
2025-11-03T16:13:02.9942556Z Submodule path 'third_party/aiter': checked out '01aae101b9e5e94d6c16a9514c9fb8df99c93150'
2025-11-03T16:13:02.9953062Z Submodule '3rdparty/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/aiter/3rdparty/composable_kernel'
2025-11-03T16:13:02.9972771Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter/3rdparty/composable_kernel'...
2025-11-03T16:13:06.0049228Z Submodule path 'third_party/aiter/3rdparty/composable_kernel': checked out 'cffe8fa2a442ac8e80dd236a1a5d24fe3d7e0cbf'
2025-11-03T16:13:06.0224804Z Submodule path 'third_party/benchmark': checked out '299e5928955cc62af9968370293b916f5130916f'
2025-11-03T16:13:06.2642868Z Submodule path 'third_party/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977'
2025-11-03T16:13:06.2997094Z Submodule path 'third_party/cpp-httplib': checked out '89c932f313c6437c38f2982869beacc89c2f2246'
2025-11-03T16:13:06.3769390Z Submodule path 'third_party/cpuinfo': checked out '5e3d2445e6a84d9599bee2bf78edbb4d80865e1d'
2025-11-03T16:13:06.4147596Z Submodule path 'third_party/cudnn_frontend': checked out '0b1577c8c83401237d601d0d0db5210506705396'
2025-11-03T16:13:06.8982361Z Submodule path 'third_party/cutlass': checked out 'f3fde58372d33e9a5650ba7b80fc48b3b49d40c8'
2025-11-03T16:13:07.0070195Z Submodule path 'third_party/fbgemm': checked out 'c0b988d39a9e47c794d699f29930ed4d7c7e13a4'
2025-11-03T16:13:07.0080679Z Submodule 'external/asmjit' (https://github.com/asmjit/asmjit.git) registered for path 'third_party/fbgemm/external/asmjit'
2025-11-03T16:13:07.0081961Z Submodule 'external/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/fbgemm/external/composable_kernel'
2025-11-03T16:13:07.0083091Z Submodule 'external/cpuinfo' (https://github.com/pytorch/cpuinfo) registered for path 'third_party/fbgemm/external/cpuinfo'
2025-11-03T16:13:07.0084313Z Submodule 'external/cutlass' (https://github.com/jwfromm/cutlass) registered for path 'third_party/fbgemm/external/cutlass'
2025-11-03T16:13:07.0085711Z Submodule 'external/googletest' (https://github.com/google/googletest) registered for path 'third_party/fbgemm/external/googletest'
2025-11-03T16:13:07.0087088Z Submodule 'external/hipify_torch' (https://github.com/ROCmSoftwarePlatform/hipify_torch.git) registered for path 'third_party/fbgemm/external/hipify_torch'
2025-11-03T16:13:07.0088430Z Submodule 'external/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/fbgemm/external/json'
2025-11-03T16:13:07.0111270Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/asmjit'...
2025-11-03T16:13:08.1241788Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/hipify_torch'...
2025-11-03T16:13:08.1242433Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cpuinfo'...
2025-11-03T16:13:08.1243004Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/googletest'...
2025-11-03T16:13:08.2244063Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/composable_kernel'...
2025-11-03T16:13:09.8513921Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cutlass'...
2025-11-03T16:13:09.9513930Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/json'...
2025-11-03T16:13:12.6474755Z Submodule path 'third_party/fbgemm/external/asmjit': checked out 'a3199e8857792cd10b7589ff5d58343d2c9008ea'
2025-11-03T16:13:12.8918413Z Submodule path 'third_party/fbgemm/external/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977'
2025-11-03T16:13:12.9711894Z Submodule path 'third_party/fbgemm/external/cpuinfo': checked out '6543fec09b2f04ac4a666882998b534afc9c1349'
2025-11-03T16:13:13.4592717Z Submodule path 'third_party/fbgemm/external/cutlass': checked out '98125ce499b0fdf7ffbe0e3052f5b8709f4840f8'
2025-11-03T16:13:13.4952552Z Submodule path 'third_party/fbgemm/external/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723'
2025-11-03T16:13:13.5045906Z Submodule path 'third_party/fbgemm/external/hipify_torch': checked out '63b6a7b541fa7f08f8475ca7d74054db36ff2691'
2025-11-03T16:13:13.5841773Z Submodule path 'third_party/fbgemm/external/json': checked out '9cca280a4d0ccf0c08f47a99aa71d1b0e52f8d03'
2025-11-03T16:13:13.6353421Z Submodule path 'third_party/flash-attention': checked out '979702c87a8713a8e0a5e9fee122b90d2ef13be5'
2025-11-03T16:13:13.6363489Z Submodule 'csrc/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/flash-attention/csrc/composable_kernel'
2025-11-03T16:13:13.6364886Z Submodule 'csrc/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/flash-attention/csrc/cutlass'
2025-11-03T16:13:13.6384972Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/composable_kernel'...
2025-11-03T16:13:16.4162233Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/cutlass'...
2025-11-03T16:13:16.5825392Z Submodule path 'third_party/flash-attention/csrc/composable_kernel': checked out '888317e698e9803c62bd38568abc9e05d7709f33'
2025-11-03T16:13:17.0088027Z Submodule path 'third_party/flash-attention/csrc/cutlass': checked out 'c506e16788cb08416a4a57e11a9067beeee29420'
2025-11-03T16:13:17.1056309Z Submodule path 'third_party/flatbuffers': checked out 'a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757'
2025-11-03T16:13:17.1291187Z Submodule path 'third_party/fmt': checked out 'e424e3f2e607da02742f73db84873b8084fc714c'
2025-11-03T16:13:17.1590906Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350'
2025-11-03T16:13:17.1775219Z Submodule path 'third_party/gloo': checked out '54cbae0d3a67fa890b4c3d9ee162b7860315e341'
2025-11-03T16:13:17.2123906Z Submodule path 'third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723'
2025-11-03T16:13:17.2218660Z Submodule path 'third_party/ideep': checked out '719d8e6cd7f7a0e01b155657526d693acf97c2b3'
2025-11-03T16:13:17.2232316Z Submodule 'mkl-dnn' (https://github.com/intel/mkl-dnn.git) registered for path 'third_party/ideep/mkl-dnn'
2025-11-03T16:13:17.2251964Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep/mkl-dnn'...
2025-11-03T16:13:30.3201249Z Submodule path 'third_party/ideep/mkl-dnn': checked out '8d263e693366ef8db40acc569cc7d8edf644556d'
2025-11-03T16:13:30.3350273Z Submodule path 'third_party/ittapi': checked out 'dec1d23ca65ab069d225dfe40dea14f455170959'
2025-11-03T16:13:30.4105342Z Submodule path 'third_party/kineto': checked out '6fcbc53d33dd275c0aba1e5d7701d471b7f6eeb3'
2025-11-03T16:13:30.4116232Z Submodule 'libkineto/third_party/dynolog' (https://github.com/facebookincubator/dynolog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog'
2025-11-03T16:13:30.4117571Z Submodule 'libkineto/third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/fmt'
2025-11-03T16:13:30.4118312Z Submodule 'libkineto/third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/googletest'
2025-11-03T16:13:30.4138699Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog'...
2025-11-03T16:13:31.0490671Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/fmt'...
2025-11-03T16:13:31.3883243Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/googletest'...
2025-11-03T16:13:31.4564643Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out 'd2ffe0a4e3acace628db49974246b66fc3e85fb1'
2025-11-03T16:13:31.4574033Z Submodule 'third_party/DCGM' (https://github.com/NVIDIA/DCGM.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-11-03T16:13:31.4575180Z Submodule 'third_party/cpr' (https://github.com/libcpr/cpr.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-11-03T16:13:31.4576441Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-11-03T16:13:31.4577769Z Submodule 'third_party/gflags' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-11-03T16:13:31.4579090Z Submodule 'third_party/glog' (https://github.com/google/glog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-11-03T16:13:31.4580571Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-11-03T16:13:31.4582104Z Submodule 'third_party/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-11-03T16:13:31.4583539Z Submodule 'third_party/pfs' (https://github.com/dtrugman/pfs.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-11-03T16:13:31.4585140Z Submodule 'third_party/prometheus-cpp' (https://github.com/jupp0r/prometheus-cpp.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp'
2025-11-03T16:13:31.4605757Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'...
2025-11-03T16:13:33.0257472Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'...
2025-11-03T16:13:33.0258426Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp'...
2025-11-03T16:13:33.0259131Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'...
2025-11-03T16:13:33.0259742Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'...
2025-11-03T16:13:33.0260365Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/glog'...
2025-11-03T16:13:33.0260970Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'...
2025-11-03T16:13:33.0261571Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'...
2025-11-03T16:13:33.1255035Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/json'...
2025-11-03T16:13:38.6070605Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9'
2025-11-03T16:13:38.6199013Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400'
2025-11-03T16:13:38.6480874Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05'
2025-11-03T16:13:38.6585311Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067'
2025-11-03T16:13:38.6596316Z Submodule 'doc' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-11-03T16:13:38.6617345Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'...
2025-11-03T16:13:39.1042053Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc': checked out '8411df715cf522606e3b1aca386ddfc0b63d34b4'
2025-11-03T16:13:39.1186564Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog': checked out 'b33e3bad4c46c8a6345525fd822af355e5ef9446'
2025-11-03T16:13:39.1533150Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723'
2025-11-03T16:13:39.2313462Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json': checked out '4f8fba14066156b73f1189a2b8bd568bde5284c5'
2025-11-03T16:13:39.2434775Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs': checked out 'f68a2fa8ea36c783bdd760371411fcb495aa3150'
2025-11-03T16:13:39.2558295Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp': checked out 'b1234816facfdda29845c46696a02998a4af115a'
2025-11-03T16:13:39.2567872Z Submodule 'civetweb' (https://github.com/civetweb/civetweb.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb'
2025-11-03T16:13:39.2568781Z Submodule 'googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest'
2025-11-03T16:13:39.2590158Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb'...
2025-11-03T16:13:41.2221330Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest'...
2025-11-03T16:13:41.4265164Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb': checked out 'd7ba35bbb649209c66e582d5a0244ba988a15159'
2025-11-03T16:13:41.4617813Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929'
2025-11-03T16:13:41.4871883Z Submodule path 'third_party/kineto/libkineto/third_party/fmt': checked out '40626af88bd7df9a5fb80be7b25ac85b122d6c21'
2025-11-03T16:13:41.5218381Z Submodule path 'third_party/kineto/libkineto/third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723'
2025-11-03T16:13:41.5646049Z Submodule path 'third_party/kleidiai': checked out 'd7770c89632329a9914ef1a90289917597639cbe'
2025-11-03T16:13:41.5984901Z Submodule path 'third_party/mimalloc': checked out 'fbd8b99c2b828428947d70fdc046bb55609be93e'
2025-11-03T16:13:41.6849142Z Submodule path 'third_party/nlohmann': checked out '55f93686c01528224f448c19128836e7df245f72'
2025-11-03T16:13:41.9426775Z Submodule path 'third_party/onnx': checked out 'e709452ef2bbc1d113faf678c24e6d3467696e83'
2025-11-03T16:13:41.9449181Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/onnx/third_party/pybind11'
2025-11-03T16:13:41.9471000Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx/third_party/pybind11'...
2025-11-03T16:13:42.8041540Z Submodule path 'third_party/onnx/third_party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4'
2025-11-03T16:13:42.8525311Z Submodule path 'third_party/opentelemetry-cpp': checked out 'a799f4aed9c94b765dcdaabaeab7d5e7e2310878'
2025-11-03T16:13:42.8537879Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark) registered for path 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-11-03T16:13:42.8539377Z Submodule 'third_party/googletest' (https://github.com/google/googletest) registered for path 'third_party/opentelemetry-cpp/third_party/googletest'
2025-11-03T16:13:42.8540634Z Submodule 'third_party/ms-gsl' (https://github.com/microsoft/GSL) registered for path 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-11-03T16:13:42.8542008Z Submodule 'third_party/nlohmann-json' (https://github.com/nlohmann/json) registered for path 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-11-03T16:13:42.8543417Z Submodule 'third_party/opentelemetry-proto' (https://github.com/open-telemetry/opentelemetry-proto) registered for path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-11-03T16:13:42.8544714Z Submodule 'third_party/opentracing-cpp' (https://github.com/opentracing/opentracing-cpp.git) registered for path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-11-03T16:13:42.8546063Z Submodule 'third_party/prometheus-cpp' (https://github.com/jupp0r/prometheus-cpp) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-11-03T16:13:42.8547455Z Submodule 'tools/vcpkg' (https://github.com/Microsoft/vcpkg) registered for path 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-11-03T16:13:42.8568691Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/benchmark'...
2025-11-03T16:13:43.2365433Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentracing-cpp'...
2025-11-03T16:13:43.2366211Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentelemetry-proto'...
2025-11-03T16:13:43.2367198Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/ms-gsl'...
2025-11-03T16:13:43.2367844Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp'...
2025-11-03T16:13:43.3366879Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/googletest'...
2025-11-03T16:13:43.6872206Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/nlohmann-json'...
2025-11-03T16:13:50.6015353Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/tools/vcpkg'...
2025-11-03T16:13:50.6163208Z Submodule path 'third_party/opentelemetry-cpp/third_party/benchmark': checked out 'd572f4777349d43653b21d6c2fc63020ab326db2'
2025-11-03T16:13:50.6481137Z Submodule path 'third_party/opentelemetry-cpp/third_party/googletest': checked out 'b796f7d44681514f58a683a3a71ff17c94edb0c1'
2025-11-03T16:13:50.6618561Z Submodule path 'third_party/opentelemetry-cpp/third_party/ms-gsl': checked out '6f4529395c5b7c2d661812257cd6780c67e54afa'
2025-11-03T16:13:50.7442704Z Submodule path 'third_party/opentelemetry-cpp/third_party/nlohmann-json': checked out 'bc889afb4c5bf1c0d8ee29ef35eaaf4c8bef8a5d'
2025-11-03T16:13:50.7546099Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto': checked out '4ca4f0335c63cda7ab31ea7ed70d6553aee14dce'
2025-11-03T16:13:50.7654236Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp': checked out '06b57f48ded1fa3bdd3d4346f6ef29e40e08eaf5'
2025-11-03T16:13:50.7769313Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp': checked out 'c9ffcdda9086ffd9e1283ea7a0276d831f3c8a8d'
2025-11-03T16:13:50.7780586Z Submodule 'civetweb' (https://github.com/civetweb/civetweb.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-11-03T16:13:50.7781822Z Submodule 'googletest' (https://github.com/google/googletest.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-11-03T16:13:50.7802810Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'...
2025-11-03T16:13:52.6689811Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'...
2025-11-03T16:13:52.8658579Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb': checked out 'eefb26f82b233268fc98577d265352720d477ba4'
2025-11-03T16:13:52.9006393Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929'
2025-11-03T16:13:53.1894325Z Submodule path 'third_party/opentelemetry-cpp/tools/vcpkg': checked out '8eb57355a4ffb410a2e94c07b4dca2dffbee8e50'
2025-11-03T16:13:53.1982064Z Submodule path 'third_party/pocketfft': checked out '0fa0ef591e38c2758e3184c6c23e497b9f732ffa'
2025-11-03T16:13:53.4008228Z Submodule path 'third_party/protobuf': checked out 'd1eca4e4b421cd2997495c4b4e65cea6be4e9b8a'
2025-11-03T16:13:53.4020286Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/protobuf/third_party/benchmark'
2025-11-03T16:13:53.4021580Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/protobuf/third_party/googletest'
2025-11-03T16:13:53.4043555Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf/third_party/benchmark'...
2025-11-03T16:13:53.9094044Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf/third_party/googletest'...
2025-11-03T16:13:54.1326836Z Submodule path 'third_party/protobuf/third_party/benchmark': checked out '5b7683f49e1e9223cf9927b24f6fd3d6bd82e3f8'
2025-11-03T16:13:54.1883548Z Submodule path 'third_party/protobuf/third_party/googletest': checked out '5ec7f0c4a113e2f18ac2c6cc7df51ad6afc24081'
2025-11-03T16:13:54.1954316Z Submodule path 'third_party/psimd': checked out '072586a71b55b7f8c584153d223e95687148a900'
2025-11-03T16:13:54.2060525Z Submodule path 'third_party/pthreadpool': checked out '4fe0e1e183925bf8cfa6aae24237e724a96479b8'
2025-11-03T16:13:54.2365738Z Submodule path 'third_party/pybind11': checked out 'f5fbe867d2d26e4a0a9177a51f6e568868ad3dc8'
2025-11-03T16:13:54.2575880Z Submodule path 'third_party/python-peachpy': checked out 'f45429b087dd7d5bc78bb40dc7cf06425c252d67'
2025-11-03T16:13:54.2909714Z Submodule path 'third_party/sleef': checked out '5a1d179df9cf652951b59010a2d2075372d67f68'
2025-11-03T16:13:54.3099961Z Submodule path 'third_party/tensorpipe': checked out 'af0118d13e52f5a08841464a768e01a0bf3e3075'
2025-11-03T16:13:54.3110235Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/tensorpipe/third_party/googletest'
2025-11-03T16:13:54.3110860Z Submodule 'third_party/libnop' (https://github.com/google/libnop.git) registered for path 'third_party/tensorpipe/third_party/libnop'
2025-11-03T16:13:54.3111462Z Submodule 'third_party/libuv' (https://github.com/libuv/libuv.git) registered for path 'third_party/tensorpipe/third_party/libuv'
2025-11-03T16:13:54.3112655Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/tensorpipe/third_party/pybind11'
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2025-11-03T16:13:55.3601311Z Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e'
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2025-11-03T16:13:55.6858506Z Submodule path 'third_party/tensorpipe/third_party/pybind11/tools/clang': checked out '6a00cbc4a9b8e68b71caf7f774b3f9c753ae84d5'
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2025-11-03T16:13:55.9886696Z ##[endgroup]
2025-11-03T16:13:55.9887039Z ##[group]Persisting credentials for submodules
2025-11-03T16:13:55.9893403Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'url\.https\:\/\/github\.com\/\.insteadOf' && git config --local --unset-all 'url.https://github.com/.insteadOf' || :"
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2025-11-03T16:13:56.3465477Z Entering 'third_party/tensorpipe'
2025-11-03T16:13:56.3507001Z Entering 'third_party/tensorpipe/third_party/googletest'
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2025-11-03T16:13:56.3678565Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-11-03T16:13:56.3738074Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local 'http.https://github.com/.extraheader' 'AUTHORIZATION: basic ***' && git config --local --show-origin --name-only --get-regexp remote.origin.url"
2025-11-03T16:13:56.3969672Z Entering 'android/libs/fbjni'
2025-11-03T16:13:56.4010746Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/android/libs/fbjni/config	remote.origin.url
2025-11-03T16:13:56.4022644Z Entering 'third_party/FP16'
2025-11-03T16:13:56.4063402Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FP16/config	remote.origin.url
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2025-11-03T16:13:56.4113654Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FXdiv/config	remote.origin.url
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2025-11-03T16:13:56.4327240Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/XNNPACK/config	remote.origin.url
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2025-11-03T16:13:56.4555121Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/composable_kernel/config	remote.origin.url
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2025-11-03T16:13:56.7452699Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/prometheus-cpp/modules/googletest/config	remote.origin.url
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2025-11-03T16:13:56.7510231Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/tools/vcpkg/config	remote.origin.url
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2025-11-03T16:13:56.7847791Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/pthreadpool/config	remote.origin.url
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2025-11-03T16:13:56.8213245Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/libuv/config	remote.origin.url
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2025-11-03T16:13:56.8265677Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/pybind11/config	remote.origin.url
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2025-11-03T16:13:56.8809732Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'git@github.com:'
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2025-11-03T16:13:56.9494103Z Entering 'third_party/cudnn_frontend'
2025-11-03T16:13:56.9525773Z Entering 'third_party/cutlass'
2025-11-03T16:13:56.9567458Z Entering 'third_party/fbgemm'
2025-11-03T16:13:56.9603748Z Entering 'third_party/fbgemm/external/asmjit'
2025-11-03T16:13:56.9635291Z Entering 'third_party/fbgemm/external/composable_kernel'
2025-11-03T16:13:56.9669685Z Entering 'third_party/fbgemm/external/cpuinfo'
2025-11-03T16:13:56.9701827Z Entering 'third_party/fbgemm/external/cutlass'
2025-11-03T16:13:56.9734966Z Entering 'third_party/fbgemm/external/googletest'
2025-11-03T16:13:56.9768357Z Entering 'third_party/fbgemm/external/hipify_torch'
2025-11-03T16:13:56.9800736Z Entering 'third_party/fbgemm/external/json'
2025-11-03T16:13:56.9838170Z Entering 'third_party/flash-attention'
2025-11-03T16:13:56.9873126Z Entering 'third_party/flash-attention/csrc/composable_kernel'
2025-11-03T16:13:56.9906799Z Entering 'third_party/flash-attention/csrc/cutlass'
2025-11-03T16:13:56.9941987Z Entering 'third_party/flatbuffers'
2025-11-03T16:13:56.9974874Z Entering 'third_party/fmt'
2025-11-03T16:13:57.0008355Z Entering 'third_party/gemmlowp/gemmlowp'
2025-11-03T16:13:57.0040715Z Entering 'third_party/gloo'
2025-11-03T16:13:57.0074420Z Entering 'third_party/googletest'
2025-11-03T16:13:57.0109159Z Entering 'third_party/ideep'
2025-11-03T16:13:57.0141305Z Entering 'third_party/ideep/mkl-dnn'
2025-11-03T16:13:57.0177541Z Entering 'third_party/ittapi'
2025-11-03T16:13:57.0209272Z Entering 'third_party/kineto'
2025-11-03T16:13:57.0240177Z Entering 'third_party/kineto/libkineto/third_party/dynolog'
2025-11-03T16:13:57.0273497Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-11-03T16:13:57.0306713Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-11-03T16:13:57.0338578Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-11-03T16:13:57.0371651Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-11-03T16:13:57.0403091Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-11-03T16:13:57.0437216Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-11-03T16:13:57.0468840Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-11-03T16:13:57.0499155Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-11-03T16:13:57.0530383Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-11-03T16:13:57.0563440Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp'
2025-11-03T16:13:57.0591872Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb'
2025-11-03T16:13:57.0625027Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest'
2025-11-03T16:13:57.0662636Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2025-11-03T16:13:57.0695105Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2025-11-03T16:13:57.0730522Z Entering 'third_party/kleidiai'
2025-11-03T16:13:57.0765862Z Entering 'third_party/mimalloc'
2025-11-03T16:13:57.0796049Z Entering 'third_party/nlohmann'
2025-11-03T16:13:57.0830424Z Entering 'third_party/onnx'
2025-11-03T16:13:57.0875825Z Entering 'third_party/onnx/third_party/pybind11'
2025-11-03T16:13:57.0909054Z Entering 'third_party/opentelemetry-cpp'
2025-11-03T16:13:57.0940755Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-11-03T16:13:57.0972940Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-11-03T16:13:57.1002643Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-11-03T16:13:57.1036844Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-11-03T16:13:57.1070242Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-11-03T16:13:57.1102004Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-11-03T16:13:57.1132973Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-11-03T16:13:57.1164190Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-11-03T16:13:57.1196996Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-11-03T16:13:57.1228472Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-11-03T16:13:57.1277481Z Entering 'third_party/pocketfft'
2025-11-03T16:13:57.1310395Z Entering 'third_party/protobuf'
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2025-11-03T16:13:57.1477834Z Entering 'third_party/pybind11'
2025-11-03T16:13:57.1509273Z Entering 'third_party/python-peachpy'
2025-11-03T16:13:57.1538805Z Entering 'third_party/sleef'
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2025-11-03T16:13:57.1726089Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-11-03T16:13:57.1776188Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:'
2025-11-03T16:13:57.2015903Z Entering 'android/libs/fbjni'
2025-11-03T16:13:57.2047520Z Entering 'third_party/FP16'
2025-11-03T16:13:57.2079792Z Entering 'third_party/FXdiv'
2025-11-03T16:13:57.2109198Z Entering 'third_party/NNPACK'
2025-11-03T16:13:57.2141125Z Entering 'third_party/NVTX'
2025-11-03T16:13:57.2177503Z Entering 'third_party/VulkanMemoryAllocator'
2025-11-03T16:13:57.2213063Z Entering 'third_party/XNNPACK'
2025-11-03T16:13:57.2256986Z Entering 'third_party/aiter'
2025-11-03T16:13:57.2288908Z Entering 'third_party/aiter/3rdparty/composable_kernel'
2025-11-03T16:13:57.2325257Z Entering 'third_party/benchmark'
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2025-11-03T16:13:57.2397703Z Entering 'third_party/cpp-httplib'
2025-11-03T16:13:57.2429544Z Entering 'third_party/cpuinfo'
2025-11-03T16:13:57.2464435Z Entering 'third_party/cudnn_frontend'
2025-11-03T16:13:57.2498456Z Entering 'third_party/cutlass'
2025-11-03T16:13:57.2540466Z Entering 'third_party/fbgemm'
2025-11-03T16:13:57.2576154Z Entering 'third_party/fbgemm/external/asmjit'
2025-11-03T16:13:57.2606054Z Entering 'third_party/fbgemm/external/composable_kernel'
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2025-11-03T16:13:57.2711687Z Entering 'third_party/fbgemm/external/googletest'
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2025-11-03T16:13:57.2949875Z Entering 'third_party/fmt'
2025-11-03T16:13:57.2983569Z Entering 'third_party/gemmlowp/gemmlowp'
2025-11-03T16:13:57.3018842Z Entering 'third_party/gloo'
2025-11-03T16:13:57.3051497Z Entering 'third_party/googletest'
2025-11-03T16:13:57.3081911Z Entering 'third_party/ideep'
2025-11-03T16:13:57.3111910Z Entering 'third_party/ideep/mkl-dnn'
2025-11-03T16:13:57.3147331Z Entering 'third_party/ittapi'
2025-11-03T16:13:57.3179771Z Entering 'third_party/kineto'
2025-11-03T16:13:57.3213912Z Entering 'third_party/kineto/libkineto/third_party/dynolog'
2025-11-03T16:13:57.3245096Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-11-03T16:13:57.3276872Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-11-03T16:13:57.3307754Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-11-03T16:13:57.3337886Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-11-03T16:13:57.3370985Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
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2025-11-03T16:13:57.3471673Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-11-03T16:13:57.3502825Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-11-03T16:13:57.3535216Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp'
2025-11-03T16:13:57.3567978Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb'
2025-11-03T16:13:57.3603802Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest'
2025-11-03T16:13:57.3639876Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2025-11-03T16:13:57.3672600Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2025-11-03T16:13:57.3705462Z Entering 'third_party/kleidiai'
2025-11-03T16:13:57.3735131Z Entering 'third_party/mimalloc'
2025-11-03T16:13:57.3769343Z Entering 'third_party/nlohmann'
2025-11-03T16:13:57.3800824Z Entering 'third_party/onnx'
2025-11-03T16:13:57.3845788Z Entering 'third_party/onnx/third_party/pybind11'
2025-11-03T16:13:57.3882067Z Entering 'third_party/opentelemetry-cpp'
2025-11-03T16:13:57.3916984Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-11-03T16:13:57.3949699Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-11-03T16:13:57.3981408Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-11-03T16:13:57.4011571Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-11-03T16:13:57.4043196Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-11-03T16:13:57.4073263Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-11-03T16:13:57.4103154Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-11-03T16:13:57.4133552Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-11-03T16:13:57.4166593Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-11-03T16:13:57.4201551Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-11-03T16:13:57.4246221Z Entering 'third_party/pocketfft'
2025-11-03T16:13:57.4281366Z Entering 'third_party/protobuf'
2025-11-03T16:13:57.4317463Z Entering 'third_party/protobuf/third_party/benchmark'
2025-11-03T16:13:57.4346137Z Entering 'third_party/protobuf/third_party/googletest'
2025-11-03T16:13:57.4378611Z Entering 'third_party/psimd'
2025-11-03T16:13:57.4412443Z Entering 'third_party/pthreadpool'
2025-11-03T16:13:57.4446168Z Entering 'third_party/pybind11'
2025-11-03T16:13:57.4480084Z Entering 'third_party/python-peachpy'
2025-11-03T16:13:57.4512575Z Entering 'third_party/sleef'
2025-11-03T16:13:57.4545267Z Entering 'third_party/tensorpipe'
2025-11-03T16:13:57.4575868Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-11-03T16:13:57.4606014Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-11-03T16:13:57.4634536Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-11-03T16:13:57.4668329Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-11-03T16:13:57.4699859Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-11-03T16:13:57.4741499Z ##[endgroup]
2025-11-03T16:13:57.4771159Z [command]/usr/bin/git log -1 --format=%H
2025-11-03T16:13:57.4794452Z 3f6538febd727b782e6e13cfd026a309fb14351d
2025-11-03T16:13:57.4874581Z ##[group]Run cd "${GITHUB_WORKSPACE}"
2025-11-03T16:13:57.4874855Z cd "${GITHUB_WORKSPACE}"
2025-11-03T16:13:57.4875079Z # Clean stale submodule dirs
2025-11-03T16:13:57.4875307Z if [ -z "${NO_SUDO}" ]; then
2025-11-03T16:13:57.4875564Z   sudo git submodule foreach --recursive git clean -ffdx
2025-11-03T16:13:57.4875823Z else
2025-11-03T16:13:57.4876046Z   git submodule foreach --recursive git clean -ffdx
2025-11-03T16:13:57.4876293Z fi
2025-11-03T16:13:57.4883684Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:13:57.4883947Z env:
2025-11-03T16:13:57.4884123Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:13:57.4884317Z   NO_SUDO: true
2025-11-03T16:13:57.4884496Z ##[endgroup]
2025-11-03T16:13:57.5148526Z Entering 'android/libs/fbjni'
2025-11-03T16:13:57.5171423Z Entering 'third_party/FP16'
2025-11-03T16:13:57.5196446Z Entering 'third_party/FXdiv'
2025-11-03T16:13:57.5222872Z Entering 'third_party/NNPACK'
2025-11-03T16:13:57.5251294Z Entering 'third_party/NVTX'
2025-11-03T16:13:57.5280437Z Entering 'third_party/VulkanMemoryAllocator'
2025-11-03T16:13:57.5303496Z Entering 'third_party/XNNPACK'
2025-11-03T16:13:57.5391596Z Entering 'third_party/aiter'
2025-11-03T16:13:57.5424844Z Entering 'third_party/aiter/3rdparty/composable_kernel'
2025-11-03T16:13:57.5506617Z Entering 'third_party/benchmark'
2025-11-03T16:13:57.5532591Z Entering 'third_party/composable_kernel'
2025-11-03T16:13:57.5612098Z Entering 'third_party/cpp-httplib'
2025-11-03T16:13:57.5636348Z Entering 'third_party/cpuinfo'
2025-11-03T16:13:57.5664869Z Entering 'third_party/cudnn_frontend'
2025-11-03T16:13:57.5691406Z Entering 'third_party/cutlass'
2025-11-03T16:13:57.5769206Z Entering 'third_party/fbgemm'
2025-11-03T16:13:57.5813869Z Entering 'third_party/fbgemm/external/asmjit'
2025-11-03T16:13:57.5837193Z Entering 'third_party/fbgemm/external/composable_kernel'
2025-11-03T16:13:57.5921217Z Entering 'third_party/fbgemm/external/cpuinfo'
2025-11-03T16:13:57.5948003Z Entering 'third_party/fbgemm/external/cutlass'
2025-11-03T16:13:57.6021308Z Entering 'third_party/fbgemm/external/googletest'
2025-11-03T16:13:57.6048180Z Entering 'third_party/fbgemm/external/hipify_torch'
2025-11-03T16:13:57.6072337Z Entering 'third_party/fbgemm/external/json'
2025-11-03T16:13:57.6104412Z Entering 'third_party/flash-attention'
2025-11-03T16:13:57.6133832Z Entering 'third_party/flash-attention/csrc/composable_kernel'
2025-11-03T16:13:57.6202000Z Entering 'third_party/flash-attention/csrc/cutlass'
2025-11-03T16:13:57.6269059Z Entering 'third_party/flatbuffers'
2025-11-03T16:13:57.6320680Z Entering 'third_party/fmt'
2025-11-03T16:13:57.6348493Z Entering 'third_party/gemmlowp/gemmlowp'
2025-11-03T16:13:57.6374526Z Entering 'third_party/gloo'
2025-11-03T16:13:57.6399020Z Entering 'third_party/googletest'
2025-11-03T16:13:57.6426021Z Entering 'third_party/ideep'
2025-11-03T16:13:57.6449338Z Entering 'third_party/ideep/mkl-dnn'
2025-11-03T16:13:57.6512317Z Entering 'third_party/ittapi'
2025-11-03T16:13:57.6537861Z Entering 'third_party/kineto'
2025-11-03T16:13:57.6566924Z Entering 'third_party/kineto/libkineto/third_party/dynolog'
2025-11-03T16:13:57.6594439Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-11-03T16:13:57.6628290Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-11-03T16:13:57.6650001Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-11-03T16:13:57.6675093Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-11-03T16:13:57.6699450Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-11-03T16:13:57.6722534Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-11-03T16:13:57.6749641Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-11-03T16:13:57.6777655Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-11-03T16:13:57.6810642Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-11-03T16:13:57.6834514Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp'
2025-11-03T16:13:57.6861835Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb'
2025-11-03T16:13:57.6895319Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest'
2025-11-03T16:13:57.6923392Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2025-11-03T16:13:57.6946676Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2025-11-03T16:13:57.6975011Z Entering 'third_party/kleidiai'
2025-11-03T16:13:57.7006382Z Entering 'third_party/mimalloc'
2025-11-03T16:13:57.7032078Z Entering 'third_party/nlohmann'
2025-11-03T16:13:57.7067326Z Entering 'third_party/onnx'
2025-11-03T16:13:57.7284687Z Entering 'third_party/onnx/third_party/pybind11'
2025-11-03T16:13:57.7310384Z Entering 'third_party/opentelemetry-cpp'
2025-11-03T16:13:57.7350416Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-11-03T16:13:57.7375927Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-11-03T16:13:57.7401152Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-11-03T16:13:57.7423889Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-11-03T16:13:57.7456774Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-11-03T16:13:57.7481722Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-11-03T16:13:57.7506006Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-11-03T16:13:57.7530198Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-11-03T16:13:57.7563405Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-11-03T16:13:57.7589259Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-11-03T16:13:57.7761215Z Entering 'third_party/pocketfft'
2025-11-03T16:13:57.7782352Z Entering 'third_party/protobuf'
2025-11-03T16:13:57.7839406Z Entering 'third_party/protobuf/third_party/benchmark'
2025-11-03T16:13:57.7863267Z Entering 'third_party/protobuf/third_party/googletest'
2025-11-03T16:13:57.7891810Z Entering 'third_party/psimd'
2025-11-03T16:13:57.7913241Z Entering 'third_party/pthreadpool'
2025-11-03T16:13:57.7935433Z Entering 'third_party/pybind11'
2025-11-03T16:13:57.7962632Z Entering 'third_party/python-peachpy'
2025-11-03T16:13:57.7986733Z Entering 'third_party/sleef'
2025-11-03T16:13:57.8013146Z Entering 'third_party/tensorpipe'
2025-11-03T16:13:57.8043733Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-11-03T16:13:57.8071107Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-11-03T16:13:57.8095941Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-11-03T16:13:57.8123126Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-11-03T16:13:57.8148987Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-11-03T16:13:57.8259569Z Prepare all required actions
2025-11-03T16:13:57.8259980Z Getting action download info
2025-11-03T16:13:57.9602888Z ##[group]Run ./.github/actions/setup-linux
2025-11-03T16:13:57.9603085Z env:
2025-11-03T16:13:57.9603242Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:13:57.9603421Z ##[endgroup]
2025-11-03T16:13:57.9633347Z ##[group]Run set -euo pipefail
2025-11-03T16:13:57.9633591Z set -euo pipefail
2025-11-03T16:13:57.9633784Z function get_ec2_metadata() {
2025-11-03T16:13:57.9634022Z   # Pulled from instance metadata endpoint for EC2
2025-11-03T16:13:57.9634402Z   # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html
2025-11-03T16:13:57.9634741Z   category=$1
2025-11-03T16:13:57.9634970Z   # If it is GCP runner (runner name contains gcp), do not run this
2025-11-03T16:13:57.9635222Z   runner_name_str=i-009a292503ca4fba2
2025-11-03T16:13:57.9635472Z   if [[ -f /.inarc ]]; then
2025-11-03T16:13:57.9635686Z     echo "ARC Runner, no info on ec2 metadata"
2025-11-03T16:13:57.9635915Z   elif [[ $runner_name_str == *"gcp"* ]]; then
2025-11-03T16:13:57.9636189Z     echo "Runner is from Google Cloud Platform, No info on ec2 metadata"
2025-11-03T16:13:57.9636432Z   else
2025-11-03T16:13:57.9636920Z     curl -H "X-aws-ec2-metadata-token: $(curl -s -X PUT "http://169.254.169.254/latest/api/token" -H "X-aws-ec2-metadata-token-ttl-seconds: 30")" -fsSL "http://169.254.169.254/latest/meta-data/${category}"
2025-11-03T16:13:57.9637401Z   fi
2025-11-03T16:13:57.9637536Z }
2025-11-03T16:13:57.9637710Z echo "ami-id: $(get_ec2_metadata ami-id)"
2025-11-03T16:13:57.9637967Z echo "instance-id: $(get_ec2_metadata instance-id)"
2025-11-03T16:13:57.9638248Z echo "instance-type: $(get_ec2_metadata instance-type)"
2025-11-03T16:13:57.9638486Z echo "system info $(uname -a)"
2025-11-03T16:13:57.9643194Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:13:57.9643425Z env:
2025-11-03T16:13:57.9643578Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:13:57.9643742Z ##[endgroup]
2025-11-03T16:13:57.9746485Z ami-id: ami-08982f1c5bf93d976
2025-11-03T16:13:57.9823635Z instance-id: i-009a292503ca4fba2
2025-11-03T16:13:57.9899205Z instance-type: c7i.metal-24xl
2025-11-03T16:13:57.9908305Z system info Linux ip-10-0-69-124.ec2.internal 6.1.150-174.273.amzn2023.x86_64 #1 SMP PREEMPT_DYNAMIC Tue Sep  9 12:21:26 UTC 2025 x86_64 x86_64 x86_64 GNU/Linux
2025-11-03T16:13:57.9928171Z ##[group]Run if [ -f /usr/bin/nvidia-smi ]; then nvidia-smi; fi
2025-11-03T16:13:57.9928491Z if [ -f /usr/bin/nvidia-smi ]; then nvidia-smi; fi
2025-11-03T16:13:57.9932594Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:13:57.9932836Z env:
2025-11-03T16:13:57.9932988Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:13:57.9933168Z ##[endgroup]
2025-11-03T16:13:57.9965464Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-11-03T16:13:57.9966056Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-11-03T16:13:57.9970579Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:13:57.9970835Z env:
2025-11-03T16:13:57.9971018Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:13:57.9971216Z ##[endgroup]
2025-11-03T16:13:58.0012538Z ##[group]Run if systemctl is-active --quiet docker; then
2025-11-03T16:13:58.0012858Z if systemctl is-active --quiet docker; then
2025-11-03T16:13:58.0013207Z     echo "Docker daemon is running...";
2025-11-03T16:13:58.0013436Z else
2025-11-03T16:13:58.0013683Z     echo "Starting docker daemon..." && sudo systemctl start docker;
2025-11-03T16:13:58.0013961Z fi
2025-11-03T16:13:58.0019440Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:13:58.0019719Z env:
2025-11-03T16:13:58.0019879Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:13:58.0020071Z ##[endgroup]
2025-11-03T16:13:58.0079910Z Docker daemon is running...
2025-11-03T16:13:58.0121456Z ##[group]Run nick-fields/retry@v3.0.0
2025-11-03T16:13:58.0121666Z with:
2025-11-03T16:13:58.0121807Z   shell: bash
2025-11-03T16:13:58.0121963Z   timeout_minutes: 5
2025-11-03T16:13:58.0122126Z   max_attempts: 3
2025-11-03T16:13:58.0122288Z   retry_wait_seconds: 30
2025-11-03T16:13:58.0123567Z   command: AWS_ACCOUNT_ID=$(aws sts get-caller-identity|grep Account|cut -f4 -d\")
aws ecr get-login-password --region "$AWS_DEFAULT_REGION" | docker login --username AWS \
    --password-stdin "$AWS_ACCOUNT_ID.dkr.ecr.$AWS_DEFAULT_REGION.amazonaws.com"

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

2025-11-03T16:13:58.0124792Z   polling_interval_seconds: 1
2025-11-03T16:13:58.0124982Z   warning_on_retry: true
2025-11-03T16:13:58.0125146Z   continue_on_error: false
2025-11-03T16:13:58.0125314Z env:
2025-11-03T16:13:58.0125462Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:13:58.0125638Z   AWS_RETRY_MODE: standard
2025-11-03T16:13:58.0125801Z   AWS_MAX_ATTEMPTS: 5
2025-11-03T16:13:58.0125973Z   AWS_DEFAULT_REGION: us-east-1
2025-11-03T16:13:58.0126156Z ##[endgroup]
2025-11-03T16:13:58.8629881Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-11-03T16:13:58.8630315Z Configure a credential helper to remove this warning. See
2025-11-03T16:13:58.8630675Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-11-03T16:13:58.8630904Z 
2025-11-03T16:13:58.8630985Z Login Succeeded
2025-11-03T16:13:59.1336125Z Command completed after 1 attempt(s).
2025-11-03T16:13:59.1383026Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-11-03T16:13:59.1383355Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-11-03T16:13:59.1383633Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-11-03T16:13:59.1388275Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:13:59.1388500Z env:
2025-11-03T16:13:59.1388664Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:13:59.1388847Z ##[endgroup]
2025-11-03T16:13:59.1451736Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty
2025-11-03T16:13:59.1452088Z # ignore expansion of "docker ps -q" since it could be empty
2025-11-03T16:13:59.1452355Z # shellcheck disable=SC2046
2025-11-03T16:13:59.1452581Z docker stop $(docker ps -q) || true
2025-11-03T16:13:59.1452807Z # Prune all of the docker images
2025-11-03T16:13:59.1453032Z docker system prune -af
2025-11-03T16:13:59.1457874Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:13:59.1458113Z env:
2025-11-03T16:13:59.1458266Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:13:59.1458437Z ##[endgroup]
2025-11-03T16:13:59.1874239Z "docker stop" requires at least 1 argument.
2025-11-03T16:13:59.1874623Z See 'docker stop --help'.
2025-11-03T16:13:59.1874763Z 
2025-11-03T16:13:59.1874918Z Usage:  docker stop [OPTIONS] CONTAINER [CONTAINER...]
2025-11-03T16:13:59.1875104Z 
2025-11-03T16:13:59.1875466Z Stop one or more running containers
2025-11-03T16:13:59.2016920Z Total reclaimed space: 0B
2025-11-03T16:13:59.2131655Z ##[group]Run pytorch/test-infra/.github/actions/calculate-docker-image@main
2025-11-03T16:13:59.2132058Z with:
2025-11-03T16:13:59.2132625Z   docker-image-name: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-30147fb242f88ab8f13e14b76ab186d189d8605c
2025-11-03T16:13:59.2133228Z   use-custom-docker-registry: true
2025-11-03T16:13:59.2133450Z   docker-build-dir: .ci/docker
2025-11-03T16:13:59.2133648Z   docker-build-script: ./build.sh
2025-11-03T16:13:59.2133856Z   working-directory: .
2025-11-03T16:13:59.2134097Z   docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-11-03T16:13:59.2134355Z   force-push: false
2025-11-03T16:13:59.2134512Z env:
2025-11-03T16:13:59.2134667Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:13:59.2134853Z ##[endgroup]
2025-11-03T16:13:59.2152089Z ##[group]Run set -ex
2025-11-03T16:13:59.2152422Z set -ex
2025-11-03T16:13:59.2152649Z 
2025-11-03T16:13:59.2153253Z # If the docker build directory or the build script doesn't exist, the action will
2025-11-03T16:13:59.2153844Z # gracefully return the docker image name as it is.  Pulling docker image in Linux
2025-11-03T16:13:59.2154314Z # job could then download the pre-built image as usual
2025-11-03T16:13:59.2154836Z if [[ -d "${DOCKER_BUILD_DIR}" ]] && [[ -f "${DOCKER_BUILD_DIR}/${DOCKER_BUILD_SCRIPT}" ]] && [[ "${USE_CUSTOM_DOCKER_REGISTRY}" == "true" ]]; then
2025-11-03T16:13:59.2174469Z   echo "skip=false" >> "${GITHUB_OUTPUT}"
2025-11-03T16:13:59.2174707Z else
2025-11-03T16:13:59.2174883Z   echo "skip=true" >> "${GITHUB_OUTPUT}"
2025-11-03T16:13:59.2175159Z   echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}"
2025-11-03T16:13:59.2175400Z 
2025-11-03T16:13:59.2175739Z   echo "Not using custom ECR registry.  Either it was not requested or there is no Docker build script in the ${REPO_NAME} repo..."
2025-11-03T16:13:59.2176084Z   exit 0
2025-11-03T16:13:59.2176232Z fi
2025-11-03T16:13:59.2176380Z 
2025-11-03T16:13:59.2176596Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_REGISTRY}/${REPO_NAME}"* ]]; then
2025-11-03T16:13:59.2176939Z   # The docker image name already includes the ECR prefix and tag, so we can just
2025-11-03T16:13:59.2177244Z   # use it as it is, but first let's extract the tag
2025-11-03T16:13:59.2177534Z   DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}')
2025-11-03T16:13:59.2177834Z   echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2025-11-03T16:13:59.2178120Z   echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}"
2025-11-03T16:13:59.2178347Z else
2025-11-03T16:13:59.2178525Z   if [[ "${DOCKER_IMAGE_NAME}" == *:* ]]; then
2025-11-03T16:13:59.2178761Z     CUSTOM_TAG_PREFIX=${DOCKER_IMAGE_NAME#*:}
2025-11-03T16:13:59.2179001Z     DOCKER_IMAGE_NAME=${DOCKER_IMAGE_NAME%%:*}
2025-11-03T16:13:59.2179209Z   fi
2025-11-03T16:13:59.2179472Z   DOCKER_TAG=${CUSTOM_TAG_PREFIX:+${CUSTOM_TAG_PREFIX}-}$(git rev-parse HEAD:"${DOCKER_BUILD_DIR}")
2025-11-03T16:13:59.2179824Z   echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2025-11-03T16:13:59.2180183Z   echo "docker-image=${DOCKER_REGISTRY}/${REPO_NAME}/${DOCKER_IMAGE_NAME}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2025-11-03T16:13:59.2180573Z   echo "custom-tag-prefix=${CUSTOM_TAG_PREFIX}" >> "${GITHUB_OUTPUT}"
2025-11-03T16:13:59.2180824Z fi
2025-11-03T16:13:59.2184997Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:13:59.2185241Z env:
2025-11-03T16:13:59.2185403Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:13:59.2185590Z   REPO_NAME: pytorch
2025-11-03T16:13:59.2186206Z   DOCKER_IMAGE_NAME: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-30147fb242f88ab8f13e14b76ab186d189d8605c
2025-11-03T16:13:59.2186721Z   DOCKER_BUILD_DIR: .ci/docker
2025-11-03T16:13:59.2186994Z   DOCKER_BUILD_SCRIPT: ./build.sh
2025-11-03T16:13:59.2187242Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-11-03T16:13:59.2187494Z   USE_CUSTOM_DOCKER_REGISTRY: true
2025-11-03T16:13:59.2187680Z   CUSTOM_TAG_PREFIX: 
2025-11-03T16:13:59.2187844Z ##[endgroup]
2025-11-03T16:13:59.2208026Z + [[ -d .ci/docker ]]
2025-11-03T16:13:59.2208263Z + [[ -f .ci/docker/./build.sh ]]
2025-11-03T16:13:59.2208452Z + [[ true == \t\r\u\e ]]
2025-11-03T16:13:59.2208633Z + echo skip=false
2025-11-03T16:13:59.2209365Z + [[ 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-30147fb242f88ab8f13e14b76ab186d189d8605c == *\3\0\8\5\3\5\3\8\5\1\1\4\.\d\k\r\.\e\c\r\.\u\s\-\e\a\s\t\-\1\.\a\m\a\z\o\n\a\w\s\.\c\o\m\/\p\y\t\o\r\c\h* ]]
2025-11-03T16:13:59.2214562Z ++ echo 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-30147fb242f88ab8f13e14b76ab186d189d8605c
2025-11-03T16:13:59.2215087Z ++ awk -F '[:,]' '{print $2}'
2025-11-03T16:13:59.2230783Z + DOCKER_TAG=pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-30147fb242f88ab8f13e14b76ab186d189d8605c
2025-11-03T16:13:59.2231335Z + echo docker-tag=pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-30147fb242f88ab8f13e14b76ab186d189d8605c
2025-11-03T16:13:59.2232025Z + echo docker-image=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-30147fb242f88ab8f13e14b76ab186d189d8605c
2025-11-03T16:13:59.2254049Z ##[group]Run set +e
2025-11-03T16:13:59.2254287Z set +e
2025-11-03T16:13:59.2254469Z set -x
2025-11-03T16:13:59.2254627Z 
2025-11-03T16:13:59.2254780Z login() {
2025-11-03T16:13:59.2255086Z   aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1"
2025-11-03T16:13:59.2255413Z }
2025-11-03T16:13:59.2255566Z 
2025-11-03T16:13:59.2255725Z retry () {
2025-11-03T16:13:59.2255911Z   $*  || (sleep 1 && $*) || (sleep 2 && $*)
2025-11-03T16:13:59.2256122Z }
2025-11-03T16:13:59.2256270Z 
2025-11-03T16:13:59.2256431Z retry login "${DOCKER_REGISTRY}"
2025-11-03T16:13:59.2256623Z 
2025-11-03T16:13:59.2256781Z START_TIME=$(date +%s)
2025-11-03T16:13:59.2256988Z # Wait up to 120 minutes
2025-11-03T16:13:59.2257241Z while [[ $(( $(date +%s) - 7200 )) -lt $START_TIME ]]; do
2025-11-03T16:13:59.2257548Z   # Check if image already exists, if it does then skip building it
2025-11-03T16:13:59.2257861Z   if docker manifest inspect "${DOCKER_IMAGE}"; then
2025-11-03T16:13:59.2258093Z     exit 0
2025-11-03T16:13:59.2258257Z   fi
2025-11-03T16:13:59.2258408Z 
2025-11-03T16:13:59.2258654Z   # NB: This flag is used by Docker build workflow to push the image to ECR, so we can
2025-11-03T16:13:59.2259056Z   # use this to differentiate between the Docker build and regular build jobs. For the
2025-11-03T16:13:59.2259448Z   # latter, it will wait for the Docker images to become available before continuing
2025-11-03T16:13:59.2259774Z   if [ "${DOCKER_PUSH:-false}" == "true" ]; then
2025-11-03T16:13:59.2260034Z     # It's a Docker build job, let's build the image
2025-11-03T16:13:59.2260254Z     break
2025-11-03T16:13:59.2260419Z   else
2025-11-03T16:13:59.2260645Z     # It's a regular build job, wait for the image to become available
2025-11-03T16:13:59.2260903Z     sleep 300
2025-11-03T16:13:59.2261066Z   fi
2025-11-03T16:13:59.2261218Z done
2025-11-03T16:13:59.2261364Z 
2025-11-03T16:13:59.2261591Z # NB: This part requires a full checkout. Otherwise, the merge base will
2025-11-03T16:13:59.2262016Z # be empty.  The default action would be to continue rebuild the image
2025-11-03T16:13:59.2262400Z if [[ "$BASE_REVISION" = "$(git rev-parse HEAD)" ]]; then
2025-11-03T16:13:59.2262690Z   # if we're on the base branch then use the parent commit
2025-11-03T16:13:59.2262950Z   MERGE_BASE=$(git rev-parse HEAD~)
2025-11-03T16:13:59.2263167Z else
2025-11-03T16:13:59.2263381Z   # otherwise we're on a PR, so use the most recent base commit
2025-11-03T16:13:59.2263669Z   MERGE_BASE=$(git merge-base HEAD "$BASE_REVISION")
2025-11-03T16:13:59.2263900Z fi
2025-11-03T16:13:59.2264051Z 
2025-11-03T16:13:59.2264220Z if [[ -z "${MERGE_BASE}" ]]; then
2025-11-03T16:13:59.2264448Z   echo "rebuild=true" >> "${GITHUB_OUTPUT}"
2025-11-03T16:13:59.2264662Z 
2025-11-03T16:13:59.2264954Z   echo "Finding merge base only works with full checkout, please set fetch-depth to 0, continuing ..."
2025-11-03T16:13:59.2265285Z   exit 0
2025-11-03T16:13:59.2265436Z fi
2025-11-03T16:13:59.2265582Z 
2025-11-03T16:13:59.2265786Z if ! git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}"; then
2025-11-03T16:13:59.2266194Z   echo "Directory '${DOCKER_BUILD_DIR}' not found in commit $MERGE_BASE, you should rebase onto a more recent commit"
2025-11-03T16:13:59.2266533Z   exit 1
2025-11-03T16:13:59.2266682Z fi
2025-11-03T16:13:59.2266828Z 
2025-11-03T16:13:59.2267059Z PREVIOUS_DOCKER_TAG=$(git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}")
2025-11-03T16:13:59.2267452Z # If no image exists but the hash is the same as the previous hash then we should error out here
2025-11-03T16:13:59.2267797Z if [[ "${PREVIOUS_DOCKER_TAG}" == "${DOCKER_TAG}" ]]; then
2025-11-03T16:13:59.2268201Z   echo "WARNING: Something has gone wrong and the previous image isn't available for the merge-base of your branch"
2025-11-03T16:13:59.2268650Z   echo "         Will re-build docker image to store in local cache, TTS may be longer"
2025-11-03T16:13:59.2268926Z fi
2025-11-03T16:13:59.2269069Z 
2025-11-03T16:13:59.2269240Z echo "rebuild=true" >> "${GITHUB_OUTPUT}"
2025-11-03T16:13:59.2273414Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:13:59.2273666Z env:
2025-11-03T16:13:59.2273825Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:13:59.2274012Z   DOCKER_BUILD_DIR: .ci/docker
2025-11-03T16:13:59.2274250Z   BASE_REVISION: 3f6538febd727b782e6e13cfd026a309fb14351d
2025-11-03T16:13:59.2274836Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-30147fb242f88ab8f13e14b76ab186d189d8605c
2025-11-03T16:13:59.2275577Z   DOCKER_TAG: pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-30147fb242f88ab8f13e14b76ab186d189d8605c
2025-11-03T16:13:59.2276043Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-11-03T16:13:59.2276293Z   DOCKER_PUSH: 
2025-11-03T16:13:59.2276451Z ##[endgroup]
2025-11-03T16:13:59.2294908Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-11-03T16:13:59.2295198Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-11-03T16:13:59.2296128Z + aws ecr get-login-password --region us-east-1
2025-11-03T16:13:59.2297976Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-11-03T16:13:59.6013744Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-11-03T16:13:59.6014125Z Configure a credential helper to remove this warning. See
2025-11-03T16:13:59.6016214Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-11-03T16:13:59.6016435Z 
2025-11-03T16:13:59.6016515Z Login Succeeded
2025-11-03T16:13:59.6027276Z ++ date +%s
2025-11-03T16:13:59.6035763Z + START_TIME=1762186439
2025-11-03T16:13:59.6036716Z ++ date +%s
2025-11-03T16:13:59.6043855Z + [[ 1762179239 -lt 1762186439 ]]
2025-11-03T16:13:59.6044474Z + docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-30147fb242f88ab8f13e14b76ab186d189d8605c
2025-11-03T16:13:59.8517524Z {
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2025-11-03T16:13:59.8547094Z 		},
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2025-11-03T16:13:59.8548183Z 		},
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2025-11-03T16:13:59.8548507Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T16:13:59.8548818Z + exit 0
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2025-11-03T16:13:59.8549493Z 		},
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2025-11-03T16:13:59.8550602Z 		},
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2025-11-03T16:13:59.8551730Z 		},
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2025-11-03T16:13:59.8552866Z 		},
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2025-11-03T16:13:59.8554058Z 		},
2025-11-03T16:13:59.8554180Z 		{
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2025-11-03T16:13:59.8555182Z 		},
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2025-11-03T16:13:59.8607289Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T16:13:59.8607529Z 			"size": 108,
2025-11-03T16:13:59.8607768Z 			"digest": "sha256:5af10c4c6ef231eeebee585067812841135c727daab1183fd6a6b244a186cd34"
2025-11-03T16:13:59.8608049Z 		},
2025-11-03T16:13:59.8608177Z 		{
2025-11-03T16:13:59.8608374Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T16:13:59.8608606Z 			"size": 54145660,
2025-11-03T16:13:59.8608865Z 			"digest": "sha256:6823ad83408ec2d1d628bf5e7cd49d5f6a990ea8001fed41ae77c958e655c8ae"
2025-11-03T16:13:59.8609138Z 		},
2025-11-03T16:13:59.8609264Z 		{
2025-11-03T16:13:59.8609454Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-11-03T16:13:59.8609692Z 			"size": 32,
2025-11-03T16:13:59.8609939Z 			"digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1"
2025-11-03T16:13:59.8610210Z 		}
2025-11-03T16:13:59.8610328Z 	]
2025-11-03T16:13:59.8610463Z }
2025-11-03T16:13:59.8633524Z ##[group]Run set -eux
2025-11-03T16:13:59.8633713Z set -eux
2025-11-03T16:13:59.8633978Z # It's ok if this steps fails, it would then be an anonymous user like what we used to have
2025-11-03T16:13:59.8634629Z aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token | jq --raw-output '.SecretString' | jq -r .docker_hub_readonly_token | docker login --username pytorchbot --password-stdin || true
2025-11-03T16:13:59.8639798Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:13:59.8640046Z env:
2025-11-03T16:13:59.8640209Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:13:59.8640384Z ##[endgroup]
2025-11-03T16:13:59.8661568Z + jq --raw-output .SecretString
2025-11-03T16:13:59.8661987Z + aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token
2025-11-03T16:13:59.8662364Z + jq -r .docker_hub_readonly_token
2025-11-03T16:13:59.8662631Z + docker login --username pytorchbot --password-stdin
2025-11-03T16:14:00.2714720Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-11-03T16:14:00.2715110Z Configure a credential helper to remove this warning. See
2025-11-03T16:14:00.2715617Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-11-03T16:14:00.2715932Z Login Succeeded
2025-11-03T16:14:00.2716048Z 
2025-11-03T16:14:00.2782413Z ##[group]Run tag=${ECR_DOCKER_IMAGE##*:}
2025-11-03T16:14:00.2782661Z tag=${ECR_DOCKER_IMAGE##*:}
2025-11-03T16:14:00.2782917Z echo "docker pull ghcr.io/pytorch/ci-image:${tag/:/-}"
2025-11-03T16:14:00.2787007Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:14:00.2787243Z env:
2025-11-03T16:14:00.2787396Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:14:00.2787925Z   ECR_DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-30147fb242f88ab8f13e14b76ab186d189d8605c
2025-11-03T16:14:00.2788520Z ##[endgroup]
2025-11-03T16:14:00.2808200Z docker pull ghcr.io/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-30147fb242f88ab8f13e14b76ab186d189d8605c
2025-11-03T16:14:00.2841393Z ##[group]Run pytorch/test-infra/.github/actions/pull-docker-image@main
2025-11-03T16:14:00.2841684Z with:
2025-11-03T16:14:00.2842201Z   docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-30147fb242f88ab8f13e14b76ab186d189d8605c
2025-11-03T16:14:00.2842816Z   docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-11-03T16:14:00.2843078Z env:
2025-11-03T16:14:00.2843241Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:14:00.2843428Z ##[endgroup]
2025-11-03T16:14:00.2867357Z ##[group]Run set -x
2025-11-03T16:14:00.2867544Z set -x
2025-11-03T16:14:00.2867697Z set +e
2025-11-03T16:14:00.2867843Z 
2025-11-03T16:14:00.2867982Z login() {
2025-11-03T16:14:00.2868276Z   aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1"
2025-11-03T16:14:00.2868590Z }
2025-11-03T16:14:00.2868732Z 
2025-11-03T16:14:00.2868896Z retry () {
2025-11-03T16:14:00.2869077Z   $*  || (sleep 1 && $*) || (sleep 2 && $*)
2025-11-03T16:14:00.2869261Z }
2025-11-03T16:14:00.2869395Z 
2025-11-03T16:14:00.2869549Z retry login "${DOCKER_REGISTRY}"
2025-11-03T16:14:00.2869740Z 
2025-11-03T16:14:00.2870020Z IMAGE_SIZE=$(docker manifest inspect "${DOCKER_IMAGE}" | jq '[.layers[].size, .config.size] | add / 1024 / 1024')
2025-11-03T16:14:00.2870395Z echo "Compressed size of image in MB: ${IMAGE_SIZE}"
2025-11-03T16:14:00.2870617Z 
2025-11-03T16:14:00.2870752Z set -e
2025-11-03T16:14:00.2870961Z # ignore output since only exit code is used for conditional
2025-11-03T16:14:00.2871254Z # only pull docker image if it's not available locally
2025-11-03T16:14:00.2871570Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then
2025-11-03T16:14:00.2871864Z   retry docker pull "${DOCKER_IMAGE}"
2025-11-03T16:14:00.2872060Z fi
2025-11-03T16:14:00.2876075Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:14:00.2876312Z env:
2025-11-03T16:14:00.2876465Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:14:00.2876970Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-30147fb242f88ab8f13e14b76ab186d189d8605c
2025-11-03T16:14:00.2877518Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-11-03T16:14:00.2877754Z ##[endgroup]
2025-11-03T16:14:00.2895000Z + set +e
2025-11-03T16:14:00.2895263Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-11-03T16:14:00.2895535Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-11-03T16:14:00.2899369Z + aws ecr get-login-password --region us-east-1
2025-11-03T16:14:00.2899842Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-11-03T16:14:00.6460460Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-11-03T16:14:00.6461529Z Configure a credential helper to remove this warning. See
2025-11-03T16:14:00.6461816Z Login Succeeded
2025-11-03T16:14:00.6462114Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-11-03T16:14:00.6462340Z 
2025-11-03T16:14:00.6476457Z ++ docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-30147fb242f88ab8f13e14b76ab186d189d8605c
2025-11-03T16:14:00.6477055Z ++ jq '[.layers[].size, .config.size] | add / 1024 / 1024'
2025-11-03T16:14:00.8660758Z + IMAGE_SIZE=29084.48217201233
2025-11-03T16:14:00.8661026Z Compressed size of image in MB: 29084.48217201233
2025-11-03T16:14:00.8661377Z + echo 'Compressed size of image in MB: 29084.48217201233'
2025-11-03T16:14:00.8661883Z + set -e
2025-11-03T16:14:00.8662565Z + docker inspect --type=image 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-30147fb242f88ab8f13e14b76ab186d189d8605c
2025-11-03T16:14:00.8782492Z + retry docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-30147fb242f88ab8f13e14b76ab186d189d8605c
2025-11-03T16:14:00.8783382Z + docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-30147fb242f88ab8f13e14b76ab186d189d8605c
2025-11-03T16:14:01.0986443Z pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-30147fb242f88ab8f13e14b76ab186d189d8605c: Pulling from pytorch/ci-image
2025-11-03T16:14:01.0986939Z 828c1365039a: Pulling fs layer
2025-11-03T16:14:01.0987137Z 1c4ee0d43392: Pulling fs layer
2025-11-03T16:14:01.0987326Z 903f2614f01d: Pulling fs layer
2025-11-03T16:14:01.0987522Z 9a925ed696bf: Pulling fs layer
2025-11-03T16:14:01.0987706Z d91c445dab95: Pulling fs layer
2025-11-03T16:14:01.0987877Z 33a0c5e93563: Pulling fs layer
2025-11-03T16:14:01.0988061Z 760a865b8cf6: Pulling fs layer
2025-11-03T16:14:01.0988240Z 9d9c7be466f8: Pulling fs layer
2025-11-03T16:14:01.0988418Z 8b2beb2cf1cd: Pulling fs layer
2025-11-03T16:14:01.0988586Z 6e5bdc9e922c: Pulling fs layer
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2025-11-03T16:14:01.0989809Z 442055440680: Pulling fs layer
2025-11-03T16:14:01.0989980Z 760a865b8cf6: Waiting
2025-11-03T16:14:01.0990169Z df8f8108c158: Pulling fs layer
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2025-11-03T16:14:01.0991695Z 1a6a81cb899b: Pulling fs layer
2025-11-03T16:14:01.0991865Z 9a925ed696bf: Waiting
2025-11-03T16:14:01.0992025Z 87f538f29435: Pulling fs layer
2025-11-03T16:14:01.0992191Z d91c445dab95: Waiting
2025-11-03T16:14:01.0992334Z 33a0c5e93563: Waiting
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2025-11-03T16:14:01.0992883Z 5b782dd120cc: Pulling fs layer
2025-11-03T16:14:01.0993052Z 6e5bdc9e922c: Waiting
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2025-11-03T16:14:01.0993376Z 95bb0abcaee9: Waiting
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2025-11-03T16:14:01.0994391Z f4cb10b91a16: Waiting
2025-11-03T16:14:01.0994538Z 611e20e3c292: Waiting
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2025-11-03T16:14:01.0994845Z 14f0993d5468: Pulling fs layer
2025-11-03T16:14:01.0995002Z 397c5718353c: Waiting
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2025-11-03T16:14:01.0997898Z df8f8108c158: Waiting
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2025-11-03T16:14:01.0998731Z f70b76433287: Waiting
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2025-11-03T16:14:01.0999240Z 87f538f29435: Waiting
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2025-11-03T16:14:01.1008107Z b294669af2b5: Waiting
2025-11-03T16:14:01.1845270Z 1c4ee0d43392: Verifying Checksum
2025-11-03T16:14:01.1845487Z 1c4ee0d43392: Download complete
2025-11-03T16:14:01.2793558Z 9a925ed696bf: Verifying Checksum
2025-11-03T16:14:01.2793816Z 9a925ed696bf: Download complete
2025-11-03T16:14:01.3725850Z d91c445dab95: Download complete
2025-11-03T16:14:01.4441214Z 828c1365039a: Verifying Checksum
2025-11-03T16:14:01.4441561Z 828c1365039a: Download complete
2025-11-03T16:14:01.4549620Z 33a0c5e93563: Verifying Checksum
2025-11-03T16:14:01.4549846Z 33a0c5e93563: Download complete
2025-11-03T16:14:01.5227576Z 9d9c7be466f8: Verifying Checksum
2025-11-03T16:14:01.5227794Z 9d9c7be466f8: Download complete
2025-11-03T16:14:01.5786641Z 760a865b8cf6: Verifying Checksum
2025-11-03T16:14:01.5786938Z 760a865b8cf6: Download complete
2025-11-03T16:14:01.6573873Z 6e5bdc9e922c: Verifying Checksum
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2025-11-03T16:20:49.7616982Z Digest: sha256:882a19f24dba11c5445e0a3a1cb4ef199b1740a1ba310ace5991cb025e30be3b
2025-11-03T16:20:49.8164199Z Status: Downloaded newer image for 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-30147fb242f88ab8f13e14b76ab186d189d8605c
2025-11-03T16:20:49.8401829Z 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-30147fb242f88ab8f13e14b76ab186d189d8605c
2025-11-03T16:20:49.8447054Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-11-03T16:20:49.8447651Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-11-03T16:20:49.8455795Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:20:49.8456050Z env:
2025-11-03T16:20:49.8456212Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:20:49.8456404Z ##[endgroup]
2025-11-03T16:20:49.8614049Z Prepare all required actions
2025-11-03T16:20:49.8704622Z ##[group]Run ./.github/actions/get-workflow-job-id
2025-11-03T16:20:49.8704906Z with:
2025-11-03T16:20:49.8705621Z   github-token: ***
2025-11-03T16:20:49.8705797Z env:
2025-11-03T16:20:49.8705995Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:20:49.8706208Z ##[endgroup]
2025-11-03T16:20:49.8893708Z ##[group]Run set -eux
2025-11-03T16:20:49.8893892Z set -eux
2025-11-03T16:20:49.8894175Z python3 .github/scripts/get_workflow_job_id.py "${GITHUB_RUN_ID}" "${RUNNER_NAME}"
2025-11-03T16:20:49.8898142Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:20:49.8898378Z env:
2025-11-03T16:20:49.8898532Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:20:49.8899001Z   GITHUB_TOKEN: ***
2025-11-03T16:20:49.8899159Z ##[endgroup]
2025-11-03T16:20:49.8917128Z + python3 .github/scripts/get_workflow_job_id.py 19040285537 i-009a292503ca4fba2
2025-11-03T16:20:50.7340940Z Setting output job-id=54378387671
2025-11-03T16:20:50.7341517Z Setting output job-name=inductor-cpu-test / test (inductor_torchbench_cpu_smoketest_perf, 1, 1, linux.24xl.spr-metal)
2025-11-03T16:20:50.7425536Z ##[group]Run python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84
2025-11-03T16:20:50.7425964Z python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84
2025-11-03T16:20:50.7426506Z python3 -m tools.stats.monitor --log-interval "$MONITOR_LOG_INTERVAL" --data-collect-interval "$MONITOR_DATA_COLLECT_INTERVAL" > usage_log.txt 2>&1 &
2025-11-03T16:20:50.7426993Z echo "monitor-script-pid=${!}" >> "${GITHUB_OUTPUT}"
2025-11-03T16:20:50.7430908Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:20:50.7431157Z env:
2025-11-03T16:20:50.7431310Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:20:50.7431488Z   JOB_ID: 54378387671
2025-11-03T16:20:50.7431797Z   JOB_NAME: inductor-cpu-test / test (inductor_torchbench_cpu_smoketest_perf, 1, 1, linux.24xl.spr-metal)
2025-11-03T16:20:50.7432132Z   WORKFLOW_NAME: inductor
2025-11-03T16:20:50.7432310Z   WORKFLOW_RUN_ID: 19040285537
2025-11-03T16:20:50.7432516Z   MONITOR_LOG_INTERVAL: 5
2025-11-03T16:20:50.7432697Z   MONITOR_DATA_COLLECT_INTERVAL: 1
2025-11-03T16:20:50.7432885Z ##[endgroup]
2025-11-03T16:20:51.2000479Z Defaulting to user installation because normal site-packages is not writeable
2025-11-03T16:20:51.4869733Z Collecting psutil==5.9.8
2025-11-03T16:20:51.4993954Z   Downloading psutil-5.9.8-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (288 kB)
2025-11-03T16:20:51.6114312Z Collecting dataclasses_json==0.6.7
2025-11-03T16:20:51.6143311Z   Downloading dataclasses_json-0.6.7-py3-none-any.whl (28 kB)
2025-11-03T16:20:51.6619540Z Collecting nvidia-ml-py==11.525.84
2025-11-03T16:20:51.6648310Z   Downloading nvidia_ml_py-11.525.84-py3-none-any.whl (34 kB)
2025-11-03T16:20:51.7669704Z Collecting marshmallow<4.0.0,>=3.18.0
2025-11-03T16:20:51.7699005Z   Downloading marshmallow-3.26.1-py3-none-any.whl (50 kB)
2025-11-03T16:20:51.8249038Z Collecting typing-inspect<1,>=0.4.0
2025-11-03T16:20:51.8278098Z   Downloading typing_inspect-0.9.0-py3-none-any.whl (8.8 kB)
2025-11-03T16:20:51.9422725Z Collecting packaging>=17.0
2025-11-03T16:20:51.9452558Z   Downloading packaging-25.0-py3-none-any.whl (66 kB)
2025-11-03T16:20:52.0675105Z Collecting typing-extensions>=3.7.4
2025-11-03T16:20:52.0704327Z   Downloading typing_extensions-4.15.0-py3-none-any.whl (44 kB)
2025-11-03T16:20:52.1678726Z Collecting mypy-extensions>=0.3.0
2025-11-03T16:20:52.1708539Z   Downloading mypy_extensions-1.1.0-py3-none-any.whl (5.0 kB)
2025-11-03T16:20:52.3846483Z Installing collected packages: typing-extensions, packaging, mypy-extensions, typing-inspect, marshmallow, psutil, nvidia-ml-py, dataclasses-json
2025-11-03T16:20:52.8603856Z Successfully installed dataclasses-json-0.6.7 marshmallow-3.26.1 mypy-extensions-1.1.0 nvidia-ml-py-11.525.84 packaging-25.0 psutil-5.9.8 typing-extensions-4.15.0 typing-inspect-0.9.0
2025-11-03T16:20:53.0465292Z Prepare all required actions
2025-11-03T16:20:53.0465563Z Getting action download info
2025-11-03T16:20:53.1944887Z Download action repository 'seemethere/download-artifact-s3@v4' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6)
2025-11-03T16:20:53.4775436Z Download action repository 'actions/download-artifact@v4' (SHA:d3f86a106a0bac45b974a628896c90dbdf5c8093)
2025-11-03T16:20:53.8008088Z ##[group]Run ./.github/actions/download-build-artifacts
2025-11-03T16:20:53.8008344Z with:
2025-11-03T16:20:53.8008533Z   name: linux-jammy-py3.10-gcc11-build
2025-11-03T16:20:53.8008753Z   s3-bucket: gha-artifacts
2025-11-03T16:20:53.8008946Z env:
2025-11-03T16:20:53.8009102Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:20:53.8009401Z ##[endgroup]
2025-11-03T16:20:53.8081094Z ##[group]Run seemethere/download-artifact-s3@v4
2025-11-03T16:20:53.8081307Z with:
2025-11-03T16:20:53.8081476Z   name: linux-jammy-py3.10-gcc11-build
2025-11-03T16:20:53.8081682Z   s3-bucket: gha-artifacts
2025-11-03T16:20:53.8081887Z   region: us-east-1
2025-11-03T16:20:53.8082029Z env:
2025-11-03T16:20:53.8082169Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:20:53.8082337Z ##[endgroup]
2025-11-03T16:20:54.3261969Z (node:58243) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023.
2025-11-03T16:20:54.3262381Z 
2025-11-03T16:20:54.3262599Z Please migrate your code to use AWS SDK for JavaScript (v3).
2025-11-03T16:20:54.3262941Z For more information, check the migration guide at https://a.co/7PzMCcy
2025-11-03T16:20:54.3263290Z (Use `node --trace-warnings ...` to show where the warning was created)
2025-11-03T16:20:55.7665287Z Found 1 objects with prefix pytorch/pytorch/19040285537/linux-jammy-py3.10-gcc11-build/
2025-11-03T16:20:55.7665886Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip
2025-11-03T16:21:00.4932428Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip
2025-11-03T16:21:00.4934865Z Artifact download has finished successfully
2025-11-03T16:21:00.5132769Z ##[group]Run unzip -o artifacts.zip
2025-11-03T16:21:00.5133001Z unzip -o artifacts.zip
2025-11-03T16:21:00.5137410Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:21:00.5137633Z env:
2025-11-03T16:21:00.5137787Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:21:00.5137960Z ##[endgroup]
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2025-11-03T16:21:07.0679911Z    creating: .additional_ci_files/
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2025-11-03T16:21:07.0929987Z ##[group]Run rm artifacts.zip
2025-11-03T16:21:07.0930198Z rm artifacts.zip
2025-11-03T16:21:07.0934681Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:21:07.0934911Z env:
2025-11-03T16:21:07.0935058Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:21:07.0935239Z ##[endgroup]
2025-11-03T16:21:07.1316672Z ##[group]Run df -H
2025-11-03T16:21:07.1316849Z df -H
2025-11-03T16:21:07.1320383Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:21:07.1320612Z env:
2025-11-03T16:21:07.1320778Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:21:07.1320950Z ##[endgroup]
2025-11-03T16:21:07.1349887Z Filesystem        Size  Used Avail Use% Mounted on
2025-11-03T16:21:07.1350179Z devtmpfs          4.2M     0  4.2M   0% /dev
2025-11-03T16:21:07.1350405Z tmpfs             102G     0  102G   0% /dev/shm
2025-11-03T16:21:07.1350608Z tmpfs              41G   11M   41G   1% /run
2025-11-03T16:21:07.1350820Z /dev/nvme0n1p1    215G   73G  142G  34% /
2025-11-03T16:21:07.1351033Z tmpfs             102G   13k  102G   1% /tmp
2025-11-03T16:21:07.1351259Z /dev/nvme0n1p128   11M  1.4M  9.2M  13% /boot/efi
2025-11-03T16:21:07.1372573Z Prepare all required actions
2025-11-03T16:21:07.1372991Z Getting action download info
2025-11-03T16:21:07.3363088Z ##[group]Run ./.github/actions/download-td-artifacts
2025-11-03T16:21:07.3363322Z with:
2025-11-03T16:21:07.3363465Z env:
2025-11-03T16:21:07.3363611Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:21:07.3363777Z ##[endgroup]
2025-11-03T16:21:07.3544280Z ##[group]Run seemethere/download-artifact-s3@v4
2025-11-03T16:21:07.3544501Z with:
2025-11-03T16:21:07.3544644Z   name: td_results
2025-11-03T16:21:07.3544812Z   s3-bucket: gha-artifacts
2025-11-03T16:21:07.3544992Z   region: us-east-1
2025-11-03T16:21:07.3545148Z env:
2025-11-03T16:21:07.3545291Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:21:07.3545465Z ##[endgroup]
2025-11-03T16:21:07.9915397Z (node:58263) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023.
2025-11-03T16:21:07.9915692Z 
2025-11-03T16:21:07.9915891Z Please migrate your code to use AWS SDK for JavaScript (v3).
2025-11-03T16:21:07.9916239Z For more information, check the migration guide at https://a.co/7PzMCcy
2025-11-03T16:21:07.9916573Z (Use `node --trace-warnings ...` to show where the warning was created)
2025-11-03T16:21:08.0792974Z Found 0 objects with prefix pytorch/pytorch/19040285537/td_results/
2025-11-03T16:21:08.0797419Z Artifact download has finished successfully
2025-11-03T16:21:08.1136070Z ##[group]Run mkdir -p .additional_ci_files
2025-11-03T16:21:08.1136326Z mkdir -p .additional_ci_files
2025-11-03T16:21:08.1136607Z mv td_results.json .additional_ci_files/td_results.json || true
2025-11-03T16:21:08.1141682Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:21:08.1141915Z env:
2025-11-03T16:21:08.1142073Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:21:08.1142254Z ##[endgroup]
2025-11-03T16:21:08.1179878Z mv: cannot stat 'td_results.json': No such file or directory
2025-11-03T16:21:08.1294909Z ##[group]Run .github/scripts/parse_ref.py
2025-11-03T16:21:08.1295148Z .github/scripts/parse_ref.py
2025-11-03T16:21:08.1299085Z shell: /usr/bin/bash -e {0}
2025-11-03T16:21:08.1299268Z env:
2025-11-03T16:21:08.1299428Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:21:08.1299591Z ##[endgroup]
2025-11-03T16:21:08.1905713Z Setting output branch=main
2025-11-03T16:21:08.1981845Z Prepare all required actions
2025-11-03T16:21:08.1982130Z Getting action download info
2025-11-03T16:21:08.3329233Z ##[group]Run ./.github/actions/filter-test-configs
2025-11-03T16:21:08.3329453Z with:
2025-11-03T16:21:08.3329738Z   github-token: ***
2025-11-03T16:21:08.3331218Z   test-matrix: {"include": [{"config": "cpu_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "inductor_torchbench_cpu_smoketest_perf", "shard": 1, "num_shards": 1, "runner": "linux.24xl.spr-metal"}]}
2025-11-03T16:21:08.3332807Z   job-name: inductor-cpu-test / test (inductor_torchbench_cpu_smoketest_perf, 1, 1, linux.24xl.spr-metal)
2025-11-03T16:21:08.3333121Z env:
2025-11-03T16:21:08.3333272Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:21:08.3333436Z ##[endgroup]
2025-11-03T16:21:08.3506437Z ##[group]Run nick-fields/retry@v3.0.0
2025-11-03T16:21:08.3506635Z with:
2025-11-03T16:21:08.3506776Z   shell: bash
2025-11-03T16:21:08.3506931Z   timeout_minutes: 10
2025-11-03T16:21:08.3507092Z   max_attempts: 5
2025-11-03T16:21:08.3507249Z   retry_wait_seconds: 30
2025-11-03T16:21:08.3507690Z   command: set -eux
# PyYAML 6.0 doesn't work with MacOS x86 anymore
# This must run on Python-3.7 (AmazonLinux2) so can't use request=3.32.2
python3 -m pip install requests==2.27.1 pyyaml==6.0.2

2025-11-03T16:21:08.3508148Z   polling_interval_seconds: 1
2025-11-03T16:21:08.3508337Z   warning_on_retry: true
2025-11-03T16:21:08.3508504Z   continue_on_error: false
2025-11-03T16:21:08.3508669Z env:
2025-11-03T16:21:08.3508808Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:21:08.3509106Z   GITHUB_TOKEN: ***
2025-11-03T16:21:08.3509258Z ##[endgroup]
2025-11-03T16:21:08.4658898Z + python3 -m pip install requests==2.27.1 pyyaml==6.0.2
2025-11-03T16:21:08.6272908Z Defaulting to user installation because normal site-packages is not writeable
2025-11-03T16:21:09.2667791Z Collecting requests==2.27.1
2025-11-03T16:21:09.2801189Z   Downloading requests-2.27.1-py2.py3-none-any.whl (63 kB)
2025-11-03T16:21:09.5024726Z Collecting pyyaml==6.0.2
2025-11-03T16:21:09.5056630Z   Downloading PyYAML-6.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (737 kB)
2025-11-03T16:21:09.6765084Z Collecting certifi>=2017.4.17
2025-11-03T16:21:09.6796761Z   Downloading certifi-2025.10.5-py3-none-any.whl (163 kB)
2025-11-03T16:21:09.7499800Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (1.25.10)
2025-11-03T16:21:09.7503721Z Requirement already satisfied: idna<4,>=2.5 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (2.10)
2025-11-03T16:21:10.0557481Z Collecting charset-normalizer~=2.0.0
2025-11-03T16:21:10.0587842Z   Downloading charset_normalizer-2.0.12-py3-none-any.whl (39 kB)
2025-11-03T16:21:10.1557002Z Installing collected packages: charset-normalizer, certifi, requests, pyyaml
2025-11-03T16:21:10.6609470Z Successfully installed certifi-2025.10.5 charset-normalizer-2.0.12 pyyaml-6.0.2 requests-2.27.1
2025-11-03T16:21:11.4075867Z Command completed after 1 attempt(s).
2025-11-03T16:21:11.4190785Z ##[group]Run set -x
2025-11-03T16:21:11.4190971Z set -x
2025-11-03T16:21:11.4191140Z 
2025-11-03T16:21:11.4191384Z # Use relative path here as this could be checked out anywhere, not necessarily
2025-11-03T16:21:11.4191690Z # in runner workspace
2025-11-03T16:21:11.4192024Z python3 "${GITHUB_ACTION_PATH}/../../scripts/parse_ref.py"
2025-11-03T16:21:11.4196266Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:21:11.4196497Z env:
2025-11-03T16:21:11.4196647Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:21:11.4196815Z ##[endgroup]
2025-11-03T16:21:11.4213518Z + python3 /home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/filter-test-configs/../../scripts/parse_ref.py
2025-11-03T16:21:11.4552068Z Setting output branch=main
2025-11-03T16:21:11.4743076Z ##[group]Run echo "Workflow: ${GITHUB_WORKFLOW}"
2025-11-03T16:21:11.4743341Z echo "Workflow: ${GITHUB_WORKFLOW}"
2025-11-03T16:21:11.4743549Z echo "Job name: ${JOB_NAME}"
2025-11-03T16:21:11.4743729Z 
2025-11-03T16:21:11.4743956Z # Use relative path here as this could be checked out anywhere, not necessarily
2025-11-03T16:21:11.4744232Z # in runner workspace
2025-11-03T16:21:11.4744531Z python3 "${GITHUB_ACTION_PATH}/../../scripts/filter_test_configs.py" \
2025-11-03T16:21:11.4744818Z   --workflow "${GITHUB_WORKFLOW}" \
2025-11-03T16:21:11.4745027Z   --job-name "${JOB_NAME}" \
2025-11-03T16:21:11.4746550Z   --test-matrix "{"include": [{"config": "cpu_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "inductor_torchbench_cpu_smoketest_perf", "shard": 1, "num_shards": 1, "runner": "linux.24xl.spr-metal"}]}" \
2025-11-03T16:21:11.4748106Z   --selected-test-configs "" \
2025-11-03T16:21:11.4748323Z   --pr-number "${PR_NUMBER}" \
2025-11-03T16:21:11.4748517Z   --tag "${TAG}" \
2025-11-03T16:21:11.4748707Z   --event-name "${EVENT_NAME}" \
2025-11-03T16:21:11.4748914Z   --schedule "${SCHEDULE}" \
2025-11-03T16:21:11.4749119Z   --branch "${HEAD_BRANCH}"
2025-11-03T16:21:11.4752895Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:21:11.4753130Z env:
2025-11-03T16:21:11.4753283Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:21:11.4753708Z   GITHUB_TOKEN: ***
2025-11-03T16:21:11.4754024Z   JOB_NAME: inductor-cpu-test / test (inductor_torchbench_cpu_smoketest_perf, 1, 1, linux.24xl.spr-metal)
2025-11-03T16:21:11.4754343Z   PR_NUMBER: 
2025-11-03T16:21:11.4754503Z   TAG: 
2025-11-03T16:21:11.4754752Z   EVENT_NAME: push
2025-11-03T16:21:11.4754909Z   SCHEDULE: 
2025-11-03T16:21:11.4755053Z   HEAD_BRANCH: main
2025-11-03T16:21:11.4755208Z ##[endgroup]
2025-11-03T16:21:11.4771640Z Workflow: inductor
2025-11-03T16:21:11.4772161Z Job name: inductor-cpu-test / test (inductor_torchbench_cpu_smoketest_perf, 1, 1, linux.24xl.spr-metal)
2025-11-03T16:21:11.6440068Z Setting output keep-going=True
2025-11-03T16:21:11.6440392Z Setting output ci-verbose-test-logs=False
2025-11-03T16:21:11.6440661Z Setting output ci-test-showlocals=False
2025-11-03T16:21:11.6440900Z Setting output ci-no-test-timeout=False
2025-11-03T16:21:11.6441116Z Setting output ci-no-td=False
2025-11-03T16:21:11.6441309Z Setting output ci-td-distributed=False
2025-11-03T16:21:11.6441515Z Setting output is-unstable=False
2025-11-03T16:21:11.6441706Z Setting output reenabled-issues=
2025-11-03T16:21:11.6443458Z Setting output test-matrix={"include": [{"config": "cpu_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "inductor_torchbench_cpu_smoketest_perf", "shard": 1, "num_shards": 1, "runner": "linux.24xl.spr-metal"}]}
2025-11-03T16:21:11.6445046Z Setting output is-test-matrix-empty=False
2025-11-03T16:21:11.6610263Z ##[group]Run echo "Filtered matrix:"
2025-11-03T16:21:11.6610489Z echo "Filtered matrix:"
2025-11-03T16:21:11.6612027Z echo "{"include": [{"config": "cpu_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "inductor_torchbench_cpu_smoketest_perf", "shard": 1, "num_shards": 1, "runner": "linux.24xl.spr-metal"}]}"
2025-11-03T16:21:11.6613557Z 
2025-11-03T16:21:11.6613699Z echo
2025-11-03T16:21:11.6613885Z echo "Is the current job unstable? False"
2025-11-03T16:21:11.6614095Z 
2025-11-03T16:21:11.6614222Z echo
2025-11-03T16:21:11.6614399Z echo "Is keep-going label set? True"
2025-11-03T16:21:11.6614598Z 
2025-11-03T16:21:11.6614733Z echo
2025-11-03T16:21:11.6614878Z echo "Reenabled issues? "
2025-11-03T16:21:11.6618464Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:21:11.6618694Z env:
2025-11-03T16:21:11.6618854Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:21:11.6619032Z ##[endgroup]
2025-11-03T16:21:11.6635239Z Filtered matrix:
2025-11-03T16:21:11.6636818Z {include: [{config: cpu_inductor_torchbench, shard: 1, num_shards: 2, runner: linux.8xlarge.amx}, {config: cpu_inductor_torchbench, shard: 2, num_shards: 2, runner: linux.8xlarge.amx}, {config: dynamic_cpu_inductor_huggingface, shard: 1, num_shards: 1, runner: linux.8xlarge.amx}, {config: dynamic_cpu_inductor_timm, shard: 1, num_shards: 2, runner: linux.8xlarge.amx}, {config: dynamic_cpu_inductor_timm, shard: 2, num_shards: 2, runner: linux.8xlarge.amx}, {config: dynamic_cpu_inductor_torchbench, shard: 1, num_shards: 2, runner: linux.8xlarge.amx}, {config: dynamic_cpu_inductor_torchbench, shard: 2, num_shards: 2, runner: linux.8xlarge.amx}, {config: inductor_torchbench_cpu_smoketest_perf, shard: 1, num_shards: 1, runner: linux.24xl.spr-metal}]}
2025-11-03T16:21:11.6638424Z 
2025-11-03T16:21:11.6638524Z Is the current job unstable? False
2025-11-03T16:21:11.6638652Z 
2025-11-03T16:21:11.6638736Z Is keep-going label set? True
2025-11-03T16:21:11.6638856Z 
2025-11-03T16:21:11.6638920Z Reenabled issues? 
2025-11-03T16:21:11.6714046Z ##[group]Run echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}"
2025-11-03T16:21:11.6714384Z echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}"
2025-11-03T16:21:11.6718510Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:21:11.6718749Z env:
2025-11-03T16:21:11.6718901Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:21:11.6719073Z   JOB_TIMEOUT: 240
2025-11-03T16:21:11.6719231Z ##[endgroup]
2025-11-03T16:21:11.6846260Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-11-03T16:21:11.6846582Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-11-03T16:21:11.6846848Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-11-03T16:21:11.6850464Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:21:11.6850691Z env:
2025-11-03T16:21:11.6850845Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:21:11.6851016Z ##[endgroup]
2025-11-03T16:21:11.7098412Z ##[group]Run set -x
2025-11-03T16:21:11.7098647Z set -x
2025-11-03T16:21:11.7098794Z 
2025-11-03T16:21:11.7098958Z if [[ $TEST_CONFIG == 'multigpu' ]]; then
2025-11-03T16:21:11.7099206Z   TEST_COMMAND=.ci/pytorch/multigpu-test.sh
2025-11-03T16:21:11.7099447Z elif [[ $BUILD_ENVIRONMENT == *onnx* ]]; then
2025-11-03T16:21:11.7099665Z   TEST_COMMAND=.ci/onnx/test.sh
2025-11-03T16:21:11.7099855Z else
2025-11-03T16:21:11.7100024Z   TEST_COMMAND=.ci/pytorch/test.sh
2025-11-03T16:21:11.7100212Z fi
2025-11-03T16:21:11.7100344Z 
2025-11-03T16:21:11.7100506Z # Leaving 1GB for the runner and other things
2025-11-03T16:21:11.7100844Z TOTAL_AVAILABLE_MEMORY_IN_GB=$(awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo)
2025-11-03T16:21:11.7101341Z # https://docs.docker.com/engine/containers/resource_constraints/#--memory-swap-details, the 3GB swap
2025-11-03T16:21:11.7101741Z # comes from https://github.com/pytorch/test-infra/pull/6058
2025-11-03T16:21:11.7102043Z TOTAL_MEMORY_WITH_SWAP=$(("${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}" + 3))
2025-11-03T16:21:11.7102285Z 
2025-11-03T16:21:11.7102458Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then
2025-11-03T16:21:11.7102665Z   SHM_OPTS=
2025-11-03T16:21:11.7102821Z   JENKINS_USER=
2025-11-03T16:21:11.7103048Z   # ensure that docker container cleanly exits in 12 hours
2025-11-03T16:21:11.7103329Z   # if for some reason cleanup action doesn't stop container
2025-11-03T16:21:11.7103564Z   # when job is cancelled
2025-11-03T16:21:11.7103758Z   DOCKER_SHELL_CMD="sleep 12h"
2025-11-03T16:21:11.7103937Z else
2025-11-03T16:21:11.7104111Z   SHM_OPTS="--shm-size=${SHM_SIZE}"
2025-11-03T16:21:11.7104323Z   JENKINS_USER="--user jenkins"
2025-11-03T16:21:11.7104518Z   DOCKER_SHELL_CMD=
2025-11-03T16:21:11.7104682Z fi
2025-11-03T16:21:11.7104822Z 
2025-11-03T16:21:11.7105029Z # detached container should get cleaned up by teardown_ec2_linux
2025-11-03T16:21:11.7105338Z # TODO: Stop building test binaries as part of the build phase
2025-11-03T16:21:11.7105674Z # Used for GPU_FLAG, SHM_OPTS, JENKINS_USER and DOCKER_SHELL_CMD since that doesn't play nice
2025-11-03T16:21:11.7106047Z # shellcheck disable=SC2086,SC2090
2025-11-03T16:21:11.7106255Z container_name=$(docker run \
2025-11-03T16:21:11.7106451Z   ${GPU_FLAG:-} \
2025-11-03T16:21:11.7106650Z   ${SCCACHE_SERVER_PORT_DOCKER_FLAG:-} \
2025-11-03T16:21:11.7106854Z   -e BUILD_ENVIRONMENT \
2025-11-03T16:21:11.7107045Z   -e PR_NUMBER \
2025-11-03T16:21:11.7107227Z   -e GITHUB_ACTIONS \
2025-11-03T16:21:11.7107416Z   -e GITHUB_REPOSITORY \
2025-11-03T16:21:11.7107599Z   -e GITHUB_WORKFLOW \
2025-11-03T16:21:11.7107782Z   -e GITHUB_JOB \
2025-11-03T16:21:11.7107954Z   -e GITHUB_RUN_ID \
2025-11-03T16:21:11.7108128Z   -e GITHUB_RUN_NUMBER \
2025-11-03T16:21:11.7108304Z   -e GITHUB_RUN_ATTEMPT \
2025-11-03T16:21:11.7108489Z   -e JOB_ID \
2025-11-03T16:21:11.7108654Z   -e JOB_NAME \
2025-11-03T16:21:11.7108817Z   -e BASE_SHA \
2025-11-03T16:21:11.7108972Z   -e BRANCH \
2025-11-03T16:21:11.7109129Z   -e SHA1 \
2025-11-03T16:21:11.7109293Z   -e AWS_DEFAULT_REGION \
2025-11-03T16:21:11.7109476Z   -e IN_WHEEL_TEST \
2025-11-03T16:21:11.7109641Z   -e SHARD_NUMBER \
2025-11-03T16:21:11.7109813Z   -e TEST_CONFIG \
2025-11-03T16:21:11.7109981Z   -e NUM_TEST_SHARDS \
2025-11-03T16:21:11.7110163Z   -e REENABLED_ISSUES \
2025-11-03T16:21:11.7110344Z   -e CONTINUE_THROUGH_ERROR \
2025-11-03T16:21:11.7110608Z   -e VERBOSE_TEST_LOGS \
2025-11-03T16:21:11.7110790Z   -e TEST_SHOWLOCALS \
2025-11-03T16:21:11.7110965Z   -e NO_TEST_TIMEOUT \
2025-11-03T16:21:11.7111123Z   -e NO_TD \
2025-11-03T16:21:11.7111286Z   -e TD_DISTRIBUTED \
2025-11-03T16:21:11.7111461Z   -e PR_LABELS \
2025-11-03T16:21:11.7111655Z   -e MAX_JOBS="$(nproc --ignore=2)" \
2025-11-03T16:21:11.7111852Z   -e SCCACHE_BUCKET \
2025-11-03T16:21:11.7112033Z   -e SCCACHE_REGION \
2025-11-03T16:21:11.7112204Z   -e XLA_CUDA \
2025-11-03T16:21:11.7112390Z   -e XLA_CLANG_CACHE_S3_BUCKET_NAME \
2025-11-03T16:21:11.7112604Z   -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK \
2025-11-03T16:21:11.7112822Z   -e PYTORCH_TEST_RERUN_DISABLED_TESTS \
2025-11-03T16:21:11.7113045Z   -e SKIP_SCCACHE_INITIALIZATION=1 \
2025-11-03T16:21:11.7113255Z   -e HUGGING_FACE_HUB_TOKEN \
2025-11-03T16:21:11.7113464Z   -e VLLM_TEST_HUGGING_FACE_TOKEN \
2025-11-03T16:21:11.7113669Z   -e SCRIBE_GRAPHQL_ACCESS_TOKEN \
2025-11-03T16:21:11.7113864Z   -e DASHBOARD_TAG \
2025-11-03T16:21:11.7114045Z   -e ARTIFACTS_FILE_SUFFIX \
2025-11-03T16:21:11.7114267Z   --memory="${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}g" \
2025-11-03T16:21:11.7114510Z   --memory-swap="${TOTAL_MEMORY_WITH_SWAP}g" \
2025-11-03T16:21:11.7114761Z   --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \
2025-11-03T16:21:11.7115001Z   --security-opt seccomp=unconfined \
2025-11-03T16:21:11.7115206Z   --cap-add=SYS_PTRACE \
2025-11-03T16:21:11.7115389Z   --ipc=host \
2025-11-03T16:21:11.7115548Z   ${SHM_OPTS} \
2025-11-03T16:21:11.7115707Z   --tty \
2025-11-03T16:21:11.7115863Z   --detach \
2025-11-03T16:21:11.7116038Z   --name="${container_name}" \
2025-11-03T16:21:11.7116223Z   ${JENKINS_USER} \
2025-11-03T16:21:11.7116444Z   -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \
2025-11-03T16:21:11.7116685Z   -w /var/lib/jenkins/workspace \
2025-11-03T16:21:11.7116878Z   "${DOCKER_IMAGE}" \
2025-11-03T16:21:11.7117047Z   ${DOCKER_SHELL_CMD}
2025-11-03T16:21:11.7117209Z )
2025-11-03T16:21:11.7117418Z echo "DOCKER_CONTAINER_ID=${container_name}" >> "${GITHUB_ENV}"
2025-11-03T16:21:11.7117658Z 
2025-11-03T16:21:11.7117823Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then
2025-11-03T16:21:11.7118202Z   docker exec -t "${container_name}" sh -c "python3 -m pip install -r .ci/docker/requirements-ci.txt"
2025-11-03T16:21:11.7118506Z fi
2025-11-03T16:21:11.7118646Z 
2025-11-03T16:21:11.7118937Z docker exec -t "${container_name}" sh -c "python3 -m pip install $(echo dist/*.whl)[opt-einsum] && ${TEST_COMMAND}"
2025-11-03T16:21:11.7122437Z shell: /usr/bin/bash -e {0}
2025-11-03T16:21:11.7122616Z env:
2025-11-03T16:21:11.7122768Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:21:11.7122981Z   BUILD_ENVIRONMENT: linux-jammy-py3.10-gcc11-build
2025-11-03T16:21:11.7123191Z   PR_NUMBER: 
2025-11-03T16:21:11.7123355Z   GITHUB_REPOSITORY: pytorch/pytorch
2025-11-03T16:21:11.7123555Z   GITHUB_WORKFLOW: inductor
2025-11-03T16:21:11.7123722Z   GITHUB_JOB: test
2025-11-03T16:21:11.7123871Z   GITHUB_RUN_ID: 19040285537
2025-11-03T16:21:11.7124040Z   GITHUB_RUN_NUMBER: 163246
2025-11-03T16:21:11.7124203Z   GITHUB_RUN_ATTEMPT: 1
2025-11-03T16:21:11.7124365Z   JOB_ID: 54378387671
2025-11-03T16:21:11.7124655Z   JOB_NAME: inductor-cpu-test / test (inductor_torchbench_cpu_smoketest_perf, 1, 1, linux.24xl.spr-metal)
2025-11-03T16:21:11.7124974Z   BRANCH: main
2025-11-03T16:21:11.7125153Z   SHA1: 3f6538febd727b782e6e13cfd026a309fb14351d
2025-11-03T16:21:11.7125392Z   BASE_SHA: 3f6538febd727b782e6e13cfd026a309fb14351d
2025-11-03T16:21:11.7125629Z   TEST_CONFIG: inductor_torchbench_cpu_smoketest_perf
2025-11-03T16:21:11.7125840Z   SHARD_NUMBER: 1
2025-11-03T16:21:11.7126053Z   NUM_TEST_SHARDS: 1
2025-11-03T16:21:11.7126212Z   EXTRA_FLAGS: 
2025-11-03T16:21:11.7126359Z   OP_BENCHMARK_TESTS: 
2025-11-03T16:21:11.7126526Z   REENABLED_ISSUES: 
2025-11-03T16:21:11.7126686Z   CONTINUE_THROUGH_ERROR: True
2025-11-03T16:21:11.7126863Z   VERBOSE_TEST_LOGS: False
2025-11-03T16:21:11.7127026Z   TEST_SHOWLOCALS: False
2025-11-03T16:21:11.7127190Z   NO_TEST_TIMEOUT: False
2025-11-03T16:21:11.7127344Z   NO_TD: False
2025-11-03T16:21:11.7127499Z   TD_DISTRIBUTED: False
2025-11-03T16:21:11.7127690Z   SCCACHE_BUCKET: ossci-compiler-cache-circleci-v2
2025-11-03T16:21:11.7127915Z   SCCACHE_REGION: us-east-1
2025-11-03T16:21:11.7128083Z   SHM_SIZE: 1g
2025-11-03T16:21:11.7128556Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-30147fb242f88ab8f13e14b76ab186d189d8605c
2025-11-03T16:21:11.7129048Z   XLA_CUDA: 
2025-11-03T16:21:11.7129268Z   XLA_CLANG_CACHE_S3_BUCKET_NAME: ossci-compiler-clang-cache-circleci-xla
2025-11-03T16:21:11.7129550Z   PYTORCH_TEST_CUDA_MEM_LEAK_CHECK: 0
2025-11-03T16:21:11.7129755Z   PYTORCH_TEST_RERUN_DISABLED_TESTS: 0
2025-11-03T16:21:11.7129939Z   DASHBOARD_TAG: 
2025-11-03T16:21:11.7130234Z   VLLM_TEST_HUGGING_FACE_TOKEN: ***
2025-11-03T16:21:11.7130492Z   HUGGING_FACE_HUB_TOKEN: ***
2025-11-03T16:21:11.7130744Z   SCRIBE_GRAPHQL_ACCESS_TOKEN: ***
2025-11-03T16:21:11.7131073Z   ARTIFACTS_FILE_SUFFIX: test-inductor_torchbench_cpu_smoketest_perf-1-1-linux.24xl.spr-metal_54378387671
2025-11-03T16:21:11.7131396Z ##[endgroup]
2025-11-03T16:21:11.7147662Z + [[ inductor_torchbench_cpu_smoketest_perf == \m\u\l\t\i\g\p\u ]]
2025-11-03T16:21:11.7147993Z + [[ linux-jammy-py3.10-gcc11-build == *onnx* ]]
2025-11-03T16:21:11.7148236Z + TEST_COMMAND=.ci/pytorch/test.sh
2025-11-03T16:21:11.7151460Z ++ awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo
2025-11-03T16:21:11.7166239Z + TOTAL_AVAILABLE_MEMORY_IN_GB='187.488 '
2025-11-03T16:21:11.7166729Z + TOTAL_MEMORY_WITH_SWAP=190
2025-11-03T16:21:11.7167038Z + [[ linux-jammy-py3.10-gcc11-build == *\s\3\9\0\x* ]]
2025-11-03T16:21:11.7167292Z + SHM_OPTS=--shm-size=1g
2025-11-03T16:21:11.7167477Z + JENKINS_USER='--user jenkins'
2025-11-03T16:21:11.7167665Z + DOCKER_SHELL_CMD=
2025-11-03T16:21:11.7173556Z +++ nproc --ignore=2
2025-11-03T16:21:11.7321314Z ++ 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=94 -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=187g --memory-swap=190g --env-file=/tmp/github_env_19040285537 --security-opt seccomp=unconfined --cap-add=SYS_PTRACE --ipc=host --shm-size=1g --tty --detach --name= --user jenkins -v /home/ec2-user/actions-runner/_work/pytorch/pytorch:/var/lib/jenkins/workspace -w /var/lib/jenkins/workspace 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-30147fb242f88ab8f13e14b76ab186d189d8605c
2025-11-03T16:23:48.7081692Z + container_name=b93c4138e691bca2f408fa9a1adae99b1e2a26f8a9843f4ca04c823ca1158866
2025-11-03T16:23:48.7082240Z + echo DOCKER_CONTAINER_ID=b93c4138e691bca2f408fa9a1adae99b1e2a26f8a9843f4ca04c823ca1158866
2025-11-03T16:23:48.7082756Z + [[ linux-jammy-py3.10-gcc11-build == *\s\3\9\0\x* ]]
2025-11-03T16:23:48.7086912Z ++ echo dist/torch-2.10.0a0+git3f6538f-cp310-cp310-linux_x86_64.whl
2025-11-03T16:23:48.7088827Z + docker exec -t b93c4138e691bca2f408fa9a1adae99b1e2a26f8a9843f4ca04c823ca1158866 sh -c 'python3 -m pip install dist/torch-2.10.0a0+git3f6538f-cp310-cp310-linux_x86_64.whl[opt-einsum] && .ci/pytorch/test.sh'
2025-11-03T16:23:49.0965056Z Processing ./dist/torch-2.10.0a0+git3f6538f-cp310-cp310-linux_x86_64.whl (from torch==2.10.0a0+git3f6538f)
2025-11-03T16:23:49.2978804Z Requirement already satisfied: filelock in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+git3f6538f->torch==2.10.0a0+git3f6538f) (3.18.0)
2025-11-03T16:23:49.2979751Z Requirement already satisfied: typing-extensions>=4.10.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+git3f6538f->torch==2.10.0a0+git3f6538f) (4.15.0)
2025-11-03T16:23:49.2980595Z Requirement already satisfied: sympy>=1.13.3 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+git3f6538f->torch==2.10.0a0+git3f6538f) (1.13.3)
2025-11-03T16:23:49.2982172Z Requirement already satisfied: networkx>=2.5.1 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+git3f6538f->torch==2.10.0a0+git3f6538f) (2.8.8)
2025-11-03T16:23:49.2984390Z Requirement already satisfied: jinja2 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+git3f6538f->torch==2.10.0a0+git3f6538f) (3.1.6)
2025-11-03T16:23:49.2987328Z Requirement already satisfied: fsspec>=0.8.5 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+git3f6538f->torch==2.10.0a0+git3f6538f) (2025.9.0)
2025-11-03T16:23:49.2997165Z Requirement already satisfied: opt-einsum>=3.3 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+git3f6538f->torch==2.10.0a0+git3f6538f) (3.3.0)
2025-11-03T16:23:49.3256930Z Requirement already satisfied: numpy>=1.7 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from opt-einsum>=3.3->torch==2.10.0a0+git3f6538f->torch==2.10.0a0+git3f6538f) (1.22.4)
2025-11-03T16:23:49.3269793Z Requirement already satisfied: mpmath<1.4,>=1.1.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from sympy>=1.13.3->torch==2.10.0a0+git3f6538f->torch==2.10.0a0+git3f6538f) (1.3.0)
2025-11-03T16:23:49.3315161Z Requirement already satisfied: MarkupSafe>=2.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from jinja2->torch==2.10.0a0+git3f6538f->torch==2.10.0a0+git3f6538f) (3.0.3)
2025-11-03T16:23:50.0150637Z Installing collected packages: torch
2025-11-03T16:23:56.6508940Z ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
2025-11-03T16:23:56.6510102Z dall-e 0.1 requires torchvision, which is not installed.
2025-11-03T16:23:56.6510410Z effdet 0.4.1 requires torchvision, which is not installed.
2025-11-03T16:23:56.6510770Z python-doctr 1.0.0 requires torchvision>=0.15.0, which is not installed.
2025-11-03T16:23:56.6511176Z pytorch-labs-segment-anything-fast 0.2 requires torchao, which is not installed.
2025-11-03T16:23:56.6511693Z pytorch-labs-segment-anything-fast 0.2 requires torchvision>=0.17.0.dev20231026, which is not installed.
2025-11-03T16:23:56.6512214Z timm 1.0.14 requires torchvision, which is not installed.
2025-11-03T16:23:56.6512597Z Successfully installed torch-2.10.0a0+git3f6538f
2025-11-03T16:23:56.7406482Z + export TERM=vt100
2025-11-03T16:23:56.7406768Z + TERM=vt100
2025-11-03T16:23:56.7406970Z ++ dirname .ci/pytorch/test.sh
2025-11-03T16:23:56.7410808Z + source .ci/pytorch/common.sh
2025-11-03T16:23:56.7413244Z +++ dirname .ci/pytorch/common.sh
2025-11-03T16:23:56.7418620Z ++ source .ci/pytorch/common_utils.sh
2025-11-03T16:23:56.7419463Z +++ declare -f -t trap_add
2025-11-03T16:23:56.7422733Z ++ set -ex -o pipefail
2025-11-03T16:23:56.7422928Z ++ [[ linux-jammy-py3.10-gcc11-build == *rocm* ]]
2025-11-03T16:23:56.7423158Z ++ BUILD_TEST_LIBTORCH=0
2025-11-03T16:23:56.7426676Z ++ dirname .ci/pytorch/test.sh
2025-11-03T16:23:56.7432039Z + source .ci/pytorch/common-build.sh
2025-11-03T16:23:56.7433245Z ++ [[ linux-jammy-py3.10-gcc11-build != *win-* ]]
2025-11-03T16:23:56.7440274Z ++++ dirname .ci/pytorch/common-build.sh
2025-11-03T16:23:56.7445875Z +++ cd .ci/pytorch
2025-11-03T16:23:56.7446168Z +++ pwd -P
2025-11-03T16:23:56.7447750Z ++ script_dir=/var/lib/jenkins/workspace/.ci/pytorch
2025-11-03T16:23:56.7448032Z ++ [[ linux-jammy-py3.10-gcc11-build == *-pch* ]]
2025-11-03T16:23:56.7448240Z ++ which sccache
2025-11-03T16:23:56.7461950Z ++ [[ -z ossci-compiler-cache-circleci-v2 ]]
2025-11-03T16:23:56.7462183Z ++ sccache --stop-server
2025-11-03T16:23:56.7482503Z ++ true
2025-11-03T16:23:56.7482666Z ++ rm -f /var/lib/jenkins/sccache_error.log
2025-11-03T16:23:56.7488577Z ++ trap_add sccache_epilogue EXIT
2025-11-03T16:23:56.7488775Z ++ trap_add_cmd=sccache_epilogue
2025-11-03T16:23:56.7488955Z ++ shift
2025-11-03T16:23:56.7489113Z ++ for trap_add_name in "$@"
2025-11-03T16:23:56.7493708Z ++++ trap -p EXIT
2025-11-03T16:23:56.7494566Z +++ eval 'extract_trap_cmd '
2025-11-03T16:23:56.7494811Z ++++ extract_trap_cmd
2025-11-03T16:23:56.7495049Z ++++ printf '%s\n' ''
2025-11-03T16:23:56.7495248Z +++ printf '%s\n' sccache_epilogue
2025-11-03T16:23:56.7496298Z ++ trap -- '
2025-11-03T16:23:56.7496575Z sccache_epilogue' EXIT
2025-11-03T16:23:56.7496777Z ++ [[ -n 1 ]]
2025-11-03T16:23:56.7497030Z ++ echo 'Skipping sccache server initialization, setting environment variables'
2025-11-03T16:23:56.7497397Z Skipping sccache server initialization, setting environment variables
2025-11-03T16:23:56.7497688Z ++ export SCCACHE_IDLE_TIMEOUT=0
2025-11-03T16:23:56.7497885Z ++ SCCACHE_IDLE_TIMEOUT=0
2025-11-03T16:23:56.7498108Z ++ export SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log
2025-11-03T16:23:56.7498381Z ++ SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log
2025-11-03T16:23:56.7502479Z ++ export RUST_LOG=sccache::server=error
2025-11-03T16:23:56.7502718Z ++ RUST_LOG=sccache::server=error
2025-11-03T16:23:56.7502908Z ++ sccache --zero-stats
2025-11-03T16:23:56.8774170Z Statistics zeroed.
2025-11-03T16:23:56.8779664Z ++ which ccache
2025-11-03T16:23:56.8801705Z + [[ linux-jammy-py3.10-gcc11-build != *rocm* ]]
2025-11-03T16:23:56.8802002Z + [[ linux-jammy-py3.10-gcc11-build != *s390x* ]]
2025-11-03T16:23:56.8802300Z + [[ -d /var/lib/jenkins/workspace ]]
2025-11-03T16:23:56.8804459Z ++ stat -c %u /var/lib/jenkins/workspace
2025-11-03T16:23:56.8814553Z + WORKSPACE_ORIGINAL_OWNER_ID=1000
2025-11-03T16:23:56.8814831Z + trap_add cleanup_workspace EXIT
2025-11-03T16:23:56.8815057Z + trap_add_cmd=cleanup_workspace
2025-11-03T16:23:56.8815478Z + shift
2025-11-03T16:23:56.8815654Z + for trap_add_name in "$@"
2025-11-03T16:23:56.8820627Z +++ trap -p EXIT
2025-11-03T16:23:56.8822559Z ++ eval 'extract_trap_cmd trap -- '\''
2025-11-03T16:23:56.8822846Z sccache_epilogue'\'' EXIT'
2025-11-03T16:23:56.8823136Z +++ extract_trap_cmd trap -- '
2025-11-03T16:23:56.8823346Z sccache_epilogue' EXIT
2025-11-03T16:23:56.8823526Z +++ printf '%s\n' '
2025-11-03T16:23:56.8823708Z sccache_epilogue'
2025-11-03T16:23:56.8823913Z ++ printf '%s\n' cleanup_workspace
2025-11-03T16:23:56.8824561Z + trap -- '
2025-11-03T16:23:56.8824768Z sccache_epilogue
2025-11-03T16:23:56.8824946Z cleanup_workspace' EXIT
2025-11-03T16:23:56.8825186Z + sudo chown -R jenkins /var/lib/jenkins/workspace
2025-11-03T16:23:57.3129122Z + git config --global --add safe.directory /var/lib/jenkins/workspace
2025-11-03T16:23:57.3137366Z + [[ linux-jammy-py3.10-gcc11-build == *cuda* ]]
2025-11-03T16:23:57.3137597Z + echo 'Environment variables:'
2025-11-03T16:23:57.3137821Z Environment variables:
2025-11-03T16:23:57.3137981Z + env
2025-11-03T16:23:57.3143966Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-11-03T16:23:57.3144359Z CONTINUE_THROUGH_ERROR=True
2025-11-03T16:23:57.3144611Z BUILD_ENVIRONMENT=linux-jammy-py3.10-gcc11-build
2025-11-03T16:23:57.3145118Z VLLM_TEST_HUGGING_FACE_TOKEN=***
2025-11-03T16:23:57.3145350Z HOSTNAME=b93c4138e691
2025-11-03T16:23:57.3146829Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_9903ebb6-2123-41d3-a5a6-9df4d467ac46
2025-11-03T16:23:57.3147224Z GITHUB_ACTION=__run_3
2025-11-03T16:23:57.3147397Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0
2025-11-03T16:23:57.3147594Z GITHUB_RUN_NUMBER=163246
2025-11-03T16:23:57.3147809Z TEST_CONFIG=inductor_torchbench_cpu_smoketest_perf
2025-11-03T16:23:57.3148043Z GITHUB_REPOSITORY_OWNER_ID=21003710
2025-11-03T16:23:57.3148256Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all
2025-11-03T16:23:57.3148456Z SCCACHE_IDLE_TIMEOUT=0
2025-11-03T16:23:57.3148731Z SCRIBE_GRAPHQL_ACCESS_TOKEN=***
2025-11-03T16:23:57.3148931Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot
2025-11-03T16:23:57.3149125Z GITHUB_REF_TYPE=branch
2025-11-03T16:23:57.3149321Z BASE_SHA=3f6538febd727b782e6e13cfd026a309fb14351d
2025-11-03T16:23:57.3149529Z XLA_CUDA=
2025-11-03T16:23:57.3149687Z NCCL_LIB_DIR=/usr/local/cuda/lib64/
2025-11-03T16:23:57.3149954Z HUGGING_FACE_HUB_TOKEN=***
2025-11-03T16:23:57.3150301Z ***
2025-11-03T16:23:57.3150455Z GITHUB_REPOSITORY_ID=65600975
2025-11-03T16:23:57.3150643Z GITHUB_ACTIONS=true
2025-11-03T16:23:57.3150849Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log
2025-11-03T16:23:57.3151085Z SHA1=3f6538febd727b782e6e13cfd026a309fb14351d
2025-11-03T16:23:57.3151325Z GITHUB_SHA=3f6538febd727b782e6e13cfd026a309fb14351d
2025-11-03T16:23:57.3151694Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor.yml@refs/heads/main
2025-11-03T16:23:57.3151981Z UCC_HOME=/usr
2025-11-03T16:23:57.3152135Z VERBOSE_TEST_LOGS=False
2025-11-03T16:23:57.3152305Z GITHUB_REF=refs/heads/main
2025-11-03T16:23:57.3152485Z SHARD_NUMBER=1
2025-11-03T16:23:57.3152644Z GITHUB_REF_PROTECTED=true
2025-11-03T16:23:57.3152816Z HOME=/var/lib/jenkins
2025-11-03T16:23:57.3153003Z GITHUB_API_URL=https://api.github.com
2025-11-03T16:23:57.3153218Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0
2025-11-03T16:23:57.3153410Z UCX_COMMIT=
2025-11-03T16:23:57.3153557Z USE_SYSTEM_NCCL=1
2025-11-03T16:23:57.3153780Z NUM_TEST_SHARDS=1
2025-11-03T16:23:57.3153930Z UCX_HOME=/usr
2025-11-03T16:23:57.3154265Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_9903ebb6-2123-41d3-a5a6-9df4d467ac46
2025-11-03T16:23:57.3154773Z JOB_NAME=inductor-cpu-test / test (inductor_torchbench_cpu_smoketest_perf, 1, 1, linux.24xl.spr-metal)
2025-11-03T16:23:57.3155267Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_9903ebb6-2123-41d3-a5a6-9df4d467ac46
2025-11-03T16:23:57.3155721Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json
2025-11-03T16:23:57.3156132Z GITHUB_EVENT_NAME=push
2025-11-03T16:23:57.3156305Z DASHBOARD_TAG=
2025-11-03T16:23:57.3156469Z GITHUB_RUN_ID=19040285537
2025-11-03T16:23:57.3156644Z INSTALLED_OPENBLAS=
2025-11-03T16:23:57.3157010Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_9903ebb6-2123-41d3-a5a6-9df4d467ac46
2025-11-03T16:23:57.3157403Z GITHUB_ACTOR=pytorchmergebot
2025-11-03T16:23:57.3157587Z PR_NUMBER=
2025-11-03T16:23:57.3157730Z DESIRED_CUDA=
2025-11-03T16:23:57.3157894Z GITHUB_RUN_ATTEMPT=1
2025-11-03T16:23:57.3158074Z ANACONDA_PYTHON_VERSION=3.10
2025-11-03T16:23:57.3158293Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql
2025-11-03T16:23:57.3158504Z TERM=vt100
2025-11-03T16:23:57.3158652Z INSTALLED_VISION=yes
2025-11-03T16:23:57.3158815Z BRANCH=main
2025-11-03T16:23:57.3158969Z SCCACHE_REGION=us-east-1
2025-11-03T16:23:57.3159150Z OPENSSL_ROOT_DIR=/opt/openssl
2025-11-03T16:23:57.3159345Z BUILD_AOT_INDUCTOR_TEST=yes
2025-11-03T16:23:57.3159535Z CUDA_PATH=/usr/local/cuda
2025-11-03T16:23:57.3159855Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux
2025-11-03T16:23:57.3160196Z GITHUB_SERVER_URL=https://github.com
2025-11-03T16:23:57.3160398Z UCC_COMMIT=
2025-11-03T16:23:57.3160547Z REENABLED_ISSUES=
2025-11-03T16:23:57.3160707Z DOCS=yes
2025-11-03T16:23:57.3160844Z SHLVL=1
2025-11-03T16:23:57.3160987Z MAX_JOBS=94
2025-11-03T16:23:57.3161140Z GITHUB_ACTOR_ID=97764156
2025-11-03T16:23:57.3161433Z GITHUB_WORKFLOW_SHA=3f6538febd727b782e6e13cfd026a309fb14351d
2025-11-03T16:23:57.3161663Z GITHUB_REF_NAME=main
2025-11-03T16:23:57.3161915Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla
2025-11-03T16:23:57.3162180Z GITHUB_JOB=test
2025-11-03T16:23:57.3162340Z NO_TEST_TIMEOUT=False
2025-11-03T16:23:57.3162502Z TD_DISTRIBUTED=False
2025-11-03T16:23:57.3162682Z GITHUB_REPOSITORY=pytorch/pytorch
2025-11-03T16:23:57.3162886Z GITHUB_RETENTION_DAYS=90
2025-11-03T16:23:57.3163058Z OPENSSL_DIR=/opt/openssl
2025-11-03T16:23:57.3163245Z GITHUB_ACTION_REPOSITORY=
2025-11-03T16:23:57.3163706Z PATH=/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
2025-11-03T16:23:57.3164155Z GITHUB_BASE_REF=
2025-11-03T16:23:57.3164315Z INSTALLED_ACL=
2025-11-03T16:23:57.3164617Z ARTIFACTS_FILE_SUFFIX=test-inductor_torchbench_cpu_smoketest_perf-1-1-linux.24xl.spr-metal_54378387671
2025-11-03T16:23:57.3164949Z CI=true
2025-11-03T16:23:57.3165110Z GITHUB_REPOSITORY_OWNER=pytorch
2025-11-03T16:23:57.3165344Z RUST_LOG=sccache::server=error
2025-11-03T16:23:57.3165517Z JOB_ID=54378387671
2025-11-03T16:23:57.3165674Z GITHUB_HEAD_REF=
2025-11-03T16:23:57.3165831Z GITHUB_ACTION_REF=
2025-11-03T16:23:57.3166028Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2
2025-11-03T16:23:57.3166245Z TEST_SHOWLOCALS=False
2025-11-03T16:23:57.3166413Z GITHUB_WORKFLOW=inductor
2025-11-03T16:23:57.3166595Z DEBIAN_FRONTEND=noninteractive
2025-11-03T16:23:57.3166965Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_9903ebb6-2123-41d3-a5a6-9df4d467ac46
2025-11-03T16:23:57.3167320Z NO_TD=False
2025-11-03T16:23:57.3167484Z SKIP_SCCACHE_INITIALIZATION=1
2025-11-03T16:23:57.3167686Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/
2025-11-03T16:23:57.3167886Z _=/usr/bin/env
2025-11-03T16:23:57.3168092Z ++ python -c 'import site; print(site.getsitepackages()[0])'
2025-11-03T16:23:57.3367633Z + TORCH_INSTALL_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch
2025-11-03T16:23:57.3367989Z + TORCH_BIN_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin
2025-11-03T16:23:57.3368323Z + TORCH_LIB_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib
2025-11-03T16:23:57.3368665Z + TORCH_TEST_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/test
2025-11-03T16:23:57.3368925Z + BUILD_DIR=build
2025-11-03T16:23:57.3369095Z + BUILD_RENAMED_DIR=build_renamed
2025-11-03T16:23:57.3369375Z + BUILD_BIN_DIR=build/bin
2025-11-03T16:23:57.3369556Z + SHARD_NUMBER=1
2025-11-03T16:23:57.3369723Z + NUM_TEST_SHARDS=1
2025-11-03T16:23:57.3369902Z + export TORCH_SERIALIZATION_DEBUG=1
2025-11-03T16:23:57.3370109Z + TORCH_SERIALIZATION_DEBUG=1
2025-11-03T16:23:57.3370309Z + export VALGRIND=ON
2025-11-03T16:23:57.3370481Z + VALGRIND=ON
2025-11-03T16:23:57.3370672Z + [[ linux-jammy-py3.10-gcc11-build == *clang9* ]]
2025-11-03T16:23:57.3370912Z + [[ linux-jammy-py3.10-gcc11-build == *xpu* ]]
2025-11-03T16:23:57.3371125Z + detect_cuda_arch
2025-11-03T16:23:57.3371310Z + [[ linux-jammy-py3.10-gcc11-build == *cuda* ]]
2025-11-03T16:23:57.3371547Z + [[ linux-jammy-py3.10-gcc11-build == *s390x* ]]
2025-11-03T16:23:57.3371752Z + [[ 0 == \1 ]]
2025-11-03T16:23:57.3371905Z + [[ True == \1 ]]
2025-11-03T16:23:57.3372090Z + [[ linux-jammy-py3.10-gcc11-build != *bazel* ]]
2025-11-03T16:23:57.3372313Z ++ realpath build/custom_test_artifacts
2025-11-03T16:23:57.3374342Z + CUSTOM_TEST_ARTIFACT_BUILD_DIR=/var/lib/jenkins/workspace/build/custom_test_artifacts
2025-11-03T16:23:57.3374701Z + [[ -n '' ]]
2025-11-03T16:23:57.3374873Z + echo 'Environment variables'
2025-11-03T16:23:57.3375054Z Environment variables
2025-11-03T16:23:57.3375258Z + env
2025-11-03T16:23:57.3393647Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-11-03T16:23:57.3393929Z CONTINUE_THROUGH_ERROR=True
2025-11-03T16:23:57.3394144Z BUILD_ENVIRONMENT=linux-jammy-py3.10-gcc11-build
2025-11-03T16:23:57.3394482Z VLLM_TEST_HUGGING_FACE_TOKEN=***
2025-11-03T16:23:57.3394734Z HOSTNAME=b93c4138e691
2025-11-03T16:23:57.3395062Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_9903ebb6-2123-41d3-a5a6-9df4d467ac46
2025-11-03T16:23:57.3395411Z GITHUB_ACTION=__run_3
2025-11-03T16:23:57.3395580Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0
2025-11-03T16:23:57.3395762Z GITHUB_RUN_NUMBER=163246
2025-11-03T16:23:57.3395949Z TEST_CONFIG=inductor_torchbench_cpu_smoketest_perf
2025-11-03T16:23:57.3396167Z GITHUB_REPOSITORY_OWNER_ID=21003710
2025-11-03T16:23:57.3396369Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all
2025-11-03T16:23:57.3396569Z SCCACHE_IDLE_TIMEOUT=0
2025-11-03T16:23:57.3396815Z SCRIBE_GRAPHQL_ACCESS_TOKEN=***
2025-11-03T16:23:57.3397003Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot
2025-11-03T16:23:57.3397194Z GITHUB_REF_TYPE=branch
2025-11-03T16:23:57.3397385Z BASE_SHA=3f6538febd727b782e6e13cfd026a309fb14351d
2025-11-03T16:23:57.3397590Z XLA_CUDA=
2025-11-03T16:23:57.3397732Z NCCL_LIB_DIR=/usr/local/cuda/lib64/
2025-11-03T16:23:57.3398022Z HUGGING_FACE_HUB_TOKEN=***
2025-11-03T16:23:57.3398226Z ***
2025-11-03T16:23:57.3398372Z GITHUB_REPOSITORY_ID=65600975
2025-11-03T16:23:57.3398539Z GITHUB_ACTIONS=true
2025-11-03T16:23:57.3398729Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log
2025-11-03T16:23:57.3398970Z SHA1=3f6538febd727b782e6e13cfd026a309fb14351d
2025-11-03T16:23:57.3399201Z GITHUB_SHA=3f6538febd727b782e6e13cfd026a309fb14351d
2025-11-03T16:23:57.3399504Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor.yml@refs/heads/main
2025-11-03T16:23:57.3399786Z UCC_HOME=/usr
2025-11-03T16:23:57.3399944Z TORCH_SERIALIZATION_DEBUG=1
2025-11-03T16:23:57.3400150Z VERBOSE_TEST_LOGS=False
2025-11-03T16:23:57.3400312Z GITHUB_REF=refs/heads/main
2025-11-03T16:23:57.3400481Z SHARD_NUMBER=1
2025-11-03T16:23:57.3400634Z GITHUB_REF_PROTECTED=true
2025-11-03T16:23:57.3400803Z HOME=/var/lib/jenkins
2025-11-03T16:23:57.3400976Z GITHUB_API_URL=https://api.github.com
2025-11-03T16:23:57.3401180Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0
2025-11-03T16:23:57.3401366Z UCX_COMMIT=
2025-11-03T16:23:57.3401509Z USE_SYSTEM_NCCL=1
2025-11-03T16:23:57.3401650Z NUM_TEST_SHARDS=1
2025-11-03T16:23:57.3401796Z UCX_HOME=/usr
2025-11-03T16:23:57.3402112Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_9903ebb6-2123-41d3-a5a6-9df4d467ac46
2025-11-03T16:23:57.3402600Z JOB_NAME=inductor-cpu-test / test (inductor_torchbench_cpu_smoketest_perf, 1, 1, linux.24xl.spr-metal)
2025-11-03T16:23:57.3403074Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_9903ebb6-2123-41d3-a5a6-9df4d467ac46
2025-11-03T16:23:57.3403554Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json
2025-11-03T16:23:57.3403835Z GITHUB_EVENT_NAME=push
2025-11-03T16:23:57.3403994Z DASHBOARD_TAG=
2025-11-03T16:23:57.3404143Z GITHUB_RUN_ID=19040285537
2025-11-03T16:23:57.3404303Z INSTALLED_OPENBLAS=
2025-11-03T16:23:57.3404646Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_9903ebb6-2123-41d3-a5a6-9df4d467ac46
2025-11-03T16:23:57.3405014Z GITHUB_ACTOR=pytorchmergebot
2025-11-03T16:23:57.3405186Z PR_NUMBER=
2025-11-03T16:23:57.3405319Z DESIRED_CUDA=
2025-11-03T16:23:57.3405464Z GITHUB_RUN_ATTEMPT=1
2025-11-03T16:23:57.3405618Z VALGRIND=ON
2025-11-03T16:23:57.3405765Z ANACONDA_PYTHON_VERSION=3.10
2025-11-03T16:23:57.3405985Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql
2025-11-03T16:23:57.3406184Z TERM=vt100
2025-11-03T16:23:57.3406325Z INSTALLED_VISION=yes
2025-11-03T16:23:57.3406477Z BRANCH=main
2025-11-03T16:23:57.3406612Z SCCACHE_REGION=us-east-1
2025-11-03T16:23:57.3406783Z OPENSSL_ROOT_DIR=/opt/openssl
2025-11-03T16:23:57.3406962Z BUILD_AOT_INDUCTOR_TEST=yes
2025-11-03T16:23:57.3407134Z CUDA_PATH=/usr/local/cuda
2025-11-03T16:23:57.3407428Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux
2025-11-03T16:23:57.3407753Z GITHUB_SERVER_URL=https://github.com
2025-11-03T16:23:57.3407943Z UCC_COMMIT=
2025-11-03T16:23:57.3408116Z REENABLED_ISSUES=
2025-11-03T16:23:57.3408264Z DOCS=yes
2025-11-03T16:23:57.3408403Z SHLVL=1
2025-11-03T16:23:57.3408542Z MAX_JOBS=94
2025-11-03T16:23:57.3408688Z GITHUB_ACTOR_ID=97764156
2025-11-03T16:23:57.3408897Z GITHUB_WORKFLOW_SHA=3f6538febd727b782e6e13cfd026a309fb14351d
2025-11-03T16:23:57.3409130Z GITHUB_REF_NAME=main
2025-11-03T16:23:57.3409369Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla
2025-11-03T16:23:57.3409621Z GITHUB_JOB=test
2025-11-03T16:23:57.3409774Z NO_TEST_TIMEOUT=False
2025-11-03T16:23:57.3409939Z TD_DISTRIBUTED=False
2025-11-03T16:23:57.3410120Z GITHUB_REPOSITORY=pytorch/pytorch
2025-11-03T16:23:57.3410319Z GITHUB_RETENTION_DAYS=90
2025-11-03T16:23:57.3410485Z OPENSSL_DIR=/opt/openssl
2025-11-03T16:23:57.3410664Z GITHUB_ACTION_REPOSITORY=
2025-11-03T16:23:57.3411108Z PATH=/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
2025-11-03T16:23:57.3411548Z GITHUB_BASE_REF=
2025-11-03T16:23:57.3411696Z INSTALLED_ACL=
2025-11-03T16:23:57.3411992Z ARTIFACTS_FILE_SUFFIX=test-inductor_torchbench_cpu_smoketest_perf-1-1-linux.24xl.spr-metal_54378387671
2025-11-03T16:23:57.3412311Z CI=true
2025-11-03T16:23:57.3412465Z GITHUB_REPOSITORY_OWNER=pytorch
2025-11-03T16:23:57.3412678Z RUST_LOG=sccache::server=error
2025-11-03T16:23:57.3412849Z JOB_ID=54378387671
2025-11-03T16:23:57.3412997Z GITHUB_HEAD_REF=
2025-11-03T16:23:57.3413154Z GITHUB_ACTION_REF=
2025-11-03T16:23:57.3413335Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2
2025-11-03T16:23:57.3413550Z TEST_SHOWLOCALS=False
2025-11-03T16:23:57.3413716Z GITHUB_WORKFLOW=inductor
2025-11-03T16:23:57.3413891Z DEBIAN_FRONTEND=noninteractive
2025-11-03T16:23:57.3414242Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_9903ebb6-2123-41d3-a5a6-9df4d467ac46
2025-11-03T16:23:57.3414592Z NO_TD=False
2025-11-03T16:23:57.3414754Z SKIP_SCCACHE_INITIALIZATION=1
2025-11-03T16:23:57.3414953Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/
2025-11-03T16:23:57.3415147Z _=/usr/bin/env
2025-11-03T16:23:57.3415292Z + echo 'Testing pytorch'
2025-11-03T16:23:57.3415460Z Testing pytorch
2025-11-03T16:23:57.3415622Z + export LANG=C.UTF-8
2025-11-03T16:23:57.3415776Z + LANG=C.UTF-8
2025-11-03T16:23:57.3415933Z + PR_NUMBER=
2025-11-03T16:23:57.3416140Z + [[ inductor_torchbench_cpu_smoketest_perf == \d\e\f\a\u\l\t ]]
2025-11-03T16:23:57.3416446Z + [[ inductor_torchbench_cpu_smoketest_perf == \d\i\s\t\r\i\b\u\t\e\d ]]
2025-11-03T16:23:57.3416779Z + [[ inductor_torchbench_cpu_smoketest_perf == \s\l\o\w ]]
2025-11-03T16:23:57.3417047Z + [[ linux-jammy-py3.10-gcc11-build == *slow-gradcheck* ]]
2025-11-03T16:23:57.3417295Z + [[ linux-jammy-py3.10-gcc11-build == *cuda* ]]
2025-11-03T16:23:57.3417524Z + [[ linux-jammy-py3.10-gcc11-build == *rocm* ]]
2025-11-03T16:23:57.3417746Z + [[ linux-jammy-py3.10-gcc11-build == *xpu* ]]
2025-11-03T16:23:57.3417987Z + [[ inductor_torchbench_cpu_smoketest_perf == *crossref* ]]
2025-11-03T16:23:57.3418231Z + [[ linux-jammy-py3.10-gcc11-build == *rocm* ]]
2025-11-03T16:23:57.3418454Z + [[ linux-jammy-py3.10-gcc11-build == *xpu* ]]
2025-11-03T16:23:57.3418688Z + [[ linux-jammy-py3.10-gcc11-build != *-bazel-* ]]
2025-11-03T16:23:57.3418899Z + pip_install ninja==1.10.2
2025-11-03T16:23:57.3419135Z + pip_install_pkg='python3 -m pip install --progress-bar off'
2025-11-03T16:23:57.3419413Z + python3 -m pip install --progress-bar off ninja==1.10.2
2025-11-03T16:23:57.7112982Z Collecting ninja==1.10.2
2025-11-03T16:23:57.7280390Z   Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl.metadata (5.0 kB)
2025-11-03T16:23:57.7396734Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl (108 kB)
2025-11-03T16:23:58.4087113Z Installing collected packages: ninja
2025-11-03T16:23:58.4087441Z   Attempting uninstall: ninja
2025-11-03T16:23:58.4087698Z     Found existing installation: ninja 1.11.1.4
2025-11-03T16:23:58.4099830Z     Uninstalling ninja-1.11.1.4:
2025-11-03T16:23:58.4140207Z       Successfully uninstalled ninja-1.11.1.4
2025-11-03T16:23:58.4548343Z Successfully installed ninja-1.10.2
2025-11-03T16:23:58.5345079Z + export PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
2025-11-03T16:23:58.5345950Z + PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
2025-11-03T16:23:58.5346533Z + [[ linux-jammy-py3.10-gcc11-build == *aarch64* ]]
2025-11-03T16:23:58.5346789Z + [[ linux-jammy-py3.10-gcc11-build == *asan* ]]
2025-11-03T16:23:58.5347037Z + [[ linux-jammy-py3.10-gcc11-build == *-debug* ]]
2025-11-03T16:23:58.5347287Z + [[ linux-jammy-py3.10-gcc11-build != *-bazel-* ]]
2025-11-03T16:23:58.5347630Z + echo 'We are not in debug mode: linux-jammy-py3.10-gcc11-build. Expect the assertion to pass'
2025-11-03T16:23:58.5348018Z We are not in debug mode: linux-jammy-py3.10-gcc11-build. Expect the assertion to pass
2025-11-03T16:23:58.5348292Z + cd test
2025-11-03T16:23:58.5348517Z + python -c 'import torch; torch._C._crash_if_debug_asserts_fail(424242)'
2025-11-03T16:23:58.8165216Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-11-03T16:23:58.8166683Z   import pynvml  # type: ignore[import]
2025-11-03T16:23:59.5574351Z + [[ inductor_torchbench_cpu_smoketest_perf == \n\o\g\p\u\_\N\O\_\A\V\X\2 ]]
2025-11-03T16:23:59.5574791Z + [[ inductor_torchbench_cpu_smoketest_perf == \n\o\g\p\u\_\A\V\X\5\1\2 ]]
2025-11-03T16:23:59.5575167Z + [[ inductor_torchbench_cpu_smoketest_perf == \l\e\g\a\c\y\_\n\v\i\d\i\a\_\d\r\i\v\e\r ]]
2025-11-03T16:23:59.5575908Z + DYNAMO_BENCHMARK_FLAGS=()
2025-11-03T16:23:59.5576255Z + [[ inductor_torchbench_cpu_smoketest_perf == *pr_time_benchmarks* ]]
2025-11-03T16:23:59.5576600Z + [[ inductor_torchbench_cpu_smoketest_perf == *dynamo_eager* ]]
2025-11-03T16:23:59.5576914Z + [[ inductor_torchbench_cpu_smoketest_perf == *aot_eager* ]]
2025-11-03T16:23:59.5577216Z + [[ inductor_torchbench_cpu_smoketest_perf == *aot_inductor* ]]
2025-11-03T16:23:59.5577542Z + [[ inductor_torchbench_cpu_smoketest_perf == *max_autotune_inductor* ]]
2025-11-03T16:23:59.5578212Z + [[ inductor_torchbench_cpu_smoketest_perf == *inductor* ]]
2025-11-03T16:23:59.5578493Z + [[ inductor_torchbench_cpu_smoketest_perf != *perf* ]]
2025-11-03T16:23:59.5578768Z + [[ inductor_torchbench_cpu_smoketest_perf == *dynamic* ]]
2025-11-03T16:23:59.5579043Z + [[ inductor_torchbench_cpu_smoketest_perf == *cpu* ]]
2025-11-03T16:23:59.5579306Z + DYNAMO_BENCHMARK_FLAGS+=(--device cpu)
2025-11-03T16:23:59.5848770Z + [[ linux-jammy-py3.10-gcc11-build == *libtorch* ]]
2025-11-03T16:23:59.5849102Z + [[ linux-jammy-py3.10-gcc11-build == *-bazel-* ]]
2025-11-03T16:23:59.5849338Z + cd test
2025-11-03T16:23:59.5849561Z + python -c 'import torch; print(torch.__config__.show())'
2025-11-03T16:23:59.8769399Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-11-03T16:23:59.8770835Z   import pynvml  # type: ignore[import]
2025-11-03T16:24:00.4302607Z PyTorch built with:
2025-11-03T16:24:00.4302928Z   - GCC 11.4
2025-11-03T16:24:00.4303132Z   - C++ Version: 201703
2025-11-03T16:24:00.4303928Z   - Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications
2025-11-03T16:24:00.4304413Z   - Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d)
2025-11-03T16:24:00.4304960Z   - OpenMP 201511 (a.k.a. OpenMP 4.5)
2025-11-03T16:24:00.4305198Z   - LAPACK is enabled (usually provided by MKL)
2025-11-03T16:24:00.4305413Z   - NNPACK is enabled
2025-11-03T16:24:00.4305596Z   - CPU capability usage: AVX512
2025-11-03T16:24:00.4308092Z   - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, COMMIT_SHA=3f6538febd727b782e6e13cfd026a309fb14351d, CXX_COMPILER=/opt/cache/bin/c++, CXX_FLAGS= -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -DNDEBUG -DUSE_KINETO -DLIBKINETO_NOCUPTI -DLIBKINETO_NOROCTRACER -DLIBKINETO_NOXPUPTI=ON -DUSE_FBGEMM -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -DC10_NODEPRECATED -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Werror=range-loop-construct -Werror=bool-operation -Wnarrowing -Wno-missing-field-initializers -Wno-unknown-pragmas -Wno-unused-parameter -Wno-strict-overflow -Wno-strict-aliasing -Wno-stringop-overflow -Wsuggest-override -Wno-psabi -Wno-error=old-style-cast -faligned-new -Werror -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, TORCH_VERSION=2.10.0, USE_CUDA=OFF, USE_CUDNN=OFF, USE_CUSPARSELT=OFF, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_GLOO=ON, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=OFF, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, USE_ROCM_KERNEL_ASSERT=OFF, USE_XCCL=OFF, USE_XPU=OFF, 
2025-11-03T16:24:00.4310628Z 
2025-11-03T16:24:00.6182281Z + cd test
2025-11-03T16:24:00.6182649Z + python -c 'import torch; print(torch.__config__.parallel_info())'
2025-11-03T16:24:00.9081168Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-11-03T16:24:00.9082593Z   import pynvml  # type: ignore[import]
2025-11-03T16:24:01.4490361Z ATen/Parallel:
2025-11-03T16:24:01.4490643Z 	at::get_num_threads() : 48
2025-11-03T16:24:01.4490854Z 	at::get_num_interop_threads() : 48
2025-11-03T16:24:01.4491062Z OpenMP 201511 (a.k.a. OpenMP 4.5)
2025-11-03T16:24:01.4491259Z 	omp_get_max_threads() : 48
2025-11-03T16:24:01.4491592Z Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications
2025-11-03T16:24:01.4491933Z 	mkl_get_max_threads() : 48
2025-11-03T16:24:01.4492184Z Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d)
2025-11-03T16:24:01.4492752Z std::thread::hardware_concurrency() : 96
2025-11-03T16:24:01.4492944Z Environment variables:
2025-11-03T16:24:01.4493126Z 	OMP_NUM_THREADS : [not set]
2025-11-03T16:24:01.4493301Z 	MKL_NUM_THREADS : [not set]
2025-11-03T16:24:01.4493490Z ATen parallel backend: OpenMP
2025-11-03T16:24:01.4493606Z 
2025-11-03T16:24:01.6278254Z + [[ inductor_torchbench_cpu_smoketest_perf == *numpy_2* ]]
2025-11-03T16:24:01.6278659Z + [[ linux-jammy-py3.10-gcc11-build == *aarch64* ]]
2025-11-03T16:24:01.6278986Z + [[ inductor_torchbench_cpu_smoketest_perf == *backward* ]]
2025-11-03T16:24:01.6279251Z + [[ inductor_torchbench_cpu_smoketest_perf == *xla* ]]
2025-11-03T16:24:01.6279505Z + [[ inductor_torchbench_cpu_smoketest_perf == *vllm* ]]
2025-11-03T16:24:01.6279792Z + [[ inductor_torchbench_cpu_smoketest_perf == *executorch* ]]
2025-11-03T16:24:01.6280089Z + [[ inductor_torchbench_cpu_smoketest_perf == \j\i\t\_\l\e\g\a\c\y ]]
2025-11-03T16:24:01.6280408Z + [[ inductor_torchbench_cpu_smoketest_perf == \q\u\a\n\t\i\z\a\t\i\o\n ]]
2025-11-03T16:24:01.6280702Z + [[ linux-jammy-py3.10-gcc11-build == *libtorch* ]]
2025-11-03T16:24:01.6280966Z + [[ inductor_torchbench_cpu_smoketest_perf == distributed ]]
2025-11-03T16:24:01.6281258Z + [[ inductor_torchbench_cpu_smoketest_perf == *operator_benchmark* ]]
2025-11-03T16:24:01.6281575Z + [[ inductor_torchbench_cpu_smoketest_perf == *operator_microbenchmark* ]]
2025-11-03T16:24:01.6282169Z + [[ inductor_torchbench_cpu_smoketest_perf == *inductor_distributed* ]]
2025-11-03T16:24:01.6282533Z + [[ inductor_torchbench_cpu_smoketest_perf == *inductor-halide* ]]
2025-11-03T16:24:01.6282844Z + [[ inductor_torchbench_cpu_smoketest_perf == *inductor-triton-cpu* ]]
2025-11-03T16:24:01.6283165Z + [[ inductor_torchbench_cpu_smoketest_perf == *inductor-micro-benchmark* ]]
2025-11-03T16:24:01.6283516Z + [[ inductor_torchbench_cpu_smoketest_perf == *aoti_cross_compile_for_windows* ]]
2025-11-03T16:24:01.6283837Z + [[ inductor_torchbench_cpu_smoketest_perf == *huggingface* ]]
2025-11-03T16:24:01.6284112Z + [[ inductor_torchbench_cpu_smoketest_perf == *timm* ]]
2025-11-03T16:24:01.6284361Z + [[ inductor_torchbench_cpu_smoketest_perf == cachebench ]]
2025-11-03T16:24:01.6284639Z + [[ inductor_torchbench_cpu_smoketest_perf == verify_cachebench ]]
2025-11-03T16:24:01.6284926Z + [[ inductor_torchbench_cpu_smoketest_perf == *torchbench* ]]
2025-11-03T16:24:01.6285154Z + install_torchaudio
2025-11-03T16:24:01.6285327Z + local commit
2025-11-03T16:24:01.6285553Z ++ get_pinned_commit audio
2025-11-03T16:24:01.6285750Z ++ cat .github/ci_commit_pins/audio.txt
2025-11-03T16:24:01.6285990Z + commit=3b0e7a6f192ca2715e7e6cbe5db007aea7165fe2
2025-11-03T16:24:01.6286402Z + pip_build_and_install git+https://github.com/pytorch/audio.git@3b0e7a6f192ca2715e7e6cbe5db007aea7165fe2 dist/audio
2025-11-03T16:24:01.6286878Z + local build_target=git+https://github.com/pytorch/audio.git@3b0e7a6f192ca2715e7e6cbe5db007aea7165fe2
2025-11-03T16:24:01.6287201Z + local wheel_dir=dist/audio
2025-11-03T16:24:01.6287376Z + local found_whl=0
2025-11-03T16:24:01.6287541Z + for file in "${wheel_dir}"/*.whl
2025-11-03T16:24:01.6287814Z + [[ -f dist/audio/torchaudio-2.10.0a0+3b0e7a6-cp310-cp310-linux_x86_64.whl ]]
2025-11-03T16:24:01.6288073Z + found_whl=1
2025-11-03T16:24:01.6288210Z + break
2025-11-03T16:24:01.6288342Z + '[' 1 == 0 ']'
2025-11-03T16:24:01.6288491Z + for file in "${wheel_dir}"/*.whl
2025-11-03T16:24:01.6288772Z + pip_install_whl dist/audio/torchaudio-2.10.0a0+3b0e7a6-cp310-cp310-linux_x86_64.whl
2025-11-03T16:24:01.6289142Z + args=('dist/audio/torchaudio-2.10.0a0+3b0e7a6-cp310-cp310-linux_x86_64.whl')
2025-11-03T16:24:01.6289396Z + local args
2025-11-03T16:24:01.6289622Z + [[ dist/audio/torchaudio-2.10.0a0+3b0e7a6-cp310-cp310-linux_x86_64.whl == *\ * ]]
2025-11-03T16:24:01.6289905Z + for path in "${args[@]}"
2025-11-03T16:24:01.6290179Z + echo 'Installing dist/audio/torchaudio-2.10.0a0+3b0e7a6-cp310-cp310-linux_x86_64.whl'
2025-11-03T16:24:01.6290554Z Installing dist/audio/torchaudio-2.10.0a0+3b0e7a6-cp310-cp310-linux_x86_64.whl
2025-11-03T16:24:01.6291084Z + python3 -mpip install --no-index --no-deps dist/audio/torchaudio-2.10.0a0+3b0e7a6-cp310-cp310-linux_x86_64.whl
2025-11-03T16:24:01.8932843Z Processing ./dist/audio/torchaudio-2.10.0a0+3b0e7a6-cp310-cp310-linux_x86_64.whl
2025-11-03T16:24:01.8971622Z Installing collected packages: torchaudio
2025-11-03T16:24:02.2599541Z Successfully installed torchaudio-2.10.0a0+3b0e7a6
2025-11-03T16:24:02.2916058Z + install_torchvision
2025-11-03T16:24:02.2916297Z + local orig_preload
2025-11-03T16:24:02.2916469Z + local commit
2025-11-03T16:24:02.2916637Z ++ get_pinned_commit vision
2025-11-03T16:24:02.2916839Z ++ cat .github/ci_commit_pins/vision.txt
2025-11-03T16:24:02.3356936Z + commit=cfbc5c2f1c798991715a6b06bb3ce46478c4487c
2025-11-03T16:24:02.3357160Z + orig_preload=
2025-11-03T16:24:02.3357324Z + '[' -n '' ']'
2025-11-03T16:24:02.3357522Z + [[ linux-jammy-py3.10-gcc11-build == *cuda* ]]
2025-11-03T16:24:02.3357940Z + pip_build_and_install git+https://github.com/pytorch/vision.git@cfbc5c2f1c798991715a6b06bb3ce46478c4487c dist/vision
2025-11-03T16:24:02.3358451Z + local build_target=git+https://github.com/pytorch/vision.git@cfbc5c2f1c798991715a6b06bb3ce46478c4487c
2025-11-03T16:24:02.3358770Z + local wheel_dir=dist/vision
2025-11-03T16:24:02.3358951Z + local found_whl=0
2025-11-03T16:24:02.3374776Z + for file in "${wheel_dir}"/*.whl
2025-11-03T16:24:02.3375114Z + [[ -f dist/vision/torchvision-0.25.0a0+cfbc5c2-cp310-cp310-linux_x86_64.whl ]]
2025-11-03T16:24:02.3375584Z + found_whl=1
2025-11-03T16:24:02.3375752Z + break
2025-11-03T16:24:02.3375895Z + '[' 1 == 0 ']'
2025-11-03T16:24:02.3376086Z + for file in "${wheel_dir}"/*.whl
2025-11-03T16:24:02.3376399Z + pip_install_whl dist/vision/torchvision-0.25.0a0+cfbc5c2-cp310-cp310-linux_x86_64.whl
2025-11-03T16:24:02.3376801Z + args=('dist/vision/torchvision-0.25.0a0+cfbc5c2-cp310-cp310-linux_x86_64.whl')
2025-11-03T16:24:02.3377076Z + local args
2025-11-03T16:24:02.3377315Z + [[ dist/vision/torchvision-0.25.0a0+cfbc5c2-cp310-cp310-linux_x86_64.whl == *\ * ]]
2025-11-03T16:24:02.3377622Z + for path in "${args[@]}"
2025-11-03T16:24:02.3377922Z + echo 'Installing dist/vision/torchvision-0.25.0a0+cfbc5c2-cp310-cp310-linux_x86_64.whl'
2025-11-03T16:24:02.3378328Z Installing dist/vision/torchvision-0.25.0a0+cfbc5c2-cp310-cp310-linux_x86_64.whl
2025-11-03T16:24:02.3378791Z + python3 -mpip install --no-index --no-deps dist/vision/torchvision-0.25.0a0+cfbc5c2-cp310-cp310-linux_x86_64.whl
2025-11-03T16:24:02.5879208Z Processing ./dist/vision/torchvision-0.25.0a0+cfbc5c2-cp310-cp310-linux_x86_64.whl
2025-11-03T16:24:02.5937050Z Installing collected packages: torchvision
2025-11-03T16:24:03.0993262Z Successfully installed torchvision-0.25.0a0+cfbc5c2
2025-11-03T16:24:03.1328793Z + '[' -n '' ']'
2025-11-03T16:24:03.1329061Z + id=0
2025-11-03T16:24:03.1329266Z + pip_install opencv-python==4.8.0.74
2025-11-03T16:24:03.1329563Z + pip_install_pkg='python3 -m pip install --progress-bar off'
2025-11-03T16:24:03.1329897Z + python3 -m pip install --progress-bar off opencv-python==4.8.0.74
2025-11-03T16:24:03.5369384Z Collecting opencv-python==4.8.0.74
2025-11-03T16:24:03.5494245Z   Downloading opencv_python-4.8.0.74-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (19 kB)
2025-11-03T16:24:03.6177237Z Requirement already satisfied: numpy>=1.21.2 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from opencv-python==4.8.0.74) (1.22.4)
2025-11-03T16:24:03.6241909Z Downloading opencv_python-4.8.0.74-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (61.7 MB)
2025-11-03T16:24:05.4403943Z Installing collected packages: opencv-python
2025-11-03T16:24:05.4404220Z   Attempting uninstall: opencv-python
2025-11-03T16:24:05.4406795Z     Found existing installation: opencv-python 4.11.0.86
2025-11-03T16:24:05.4458312Z     Uninstalling opencv-python-4.11.0.86:
2025-11-03T16:24:05.5211269Z       Successfully uninstalled opencv-python-4.11.0.86
2025-11-03T16:24:06.2966696Z Successfully installed opencv-python-4.8.0.74
2025-11-03T16:24:06.4008010Z + [[ inductor_torchbench_cpu_smoketest_perf == *inductor_torchbench_smoketest_perf* ]]
2025-11-03T16:24:06.4008666Z + [[ inductor_torchbench_cpu_smoketest_perf == *inductor_torchbench_cpu_smoketest_perf* ]]
2025-11-03T16:24:06.4008968Z + PYTHONPATH=/torchbench
2025-11-03T16:24:06.4009183Z + test_inductor_torchbench_cpu_smoketest_perf
2025-11-03T16:24:06.4009392Z ++ pwd
2025-11-03T16:24:06.4009611Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports
2025-11-03T16:24:06.4009922Z + mkdir -p /var/lib/jenkins/workspace/test/test-reports
2025-11-03T16:24:06.4022078Z + test_inductor_set_cpu_affinity
2025-11-03T16:24:06.4024730Z ++ find /usr/lib -name libjemalloc.so.2
2025-11-03T16:24:06.4208918Z + JEMALLOC_LIB=/usr/lib/x86_64-linux-gnu/libjemalloc.so.2
2025-11-03T16:24:06.4209310Z + export LD_PRELOAD=/usr/lib/x86_64-linux-gnu/libjemalloc.so.2:
2025-11-03T16:24:06.4209639Z + LD_PRELOAD=/usr/lib/x86_64-linux-gnu/libjemalloc.so.2:
2025-11-03T16:24:06.4210055Z + export MALLOC_CONF=oversize_threshold:1,background_thread:true,metadata_thp:auto,dirty_decay_ms:-1,muzzy_decay_ms:-1
2025-11-03T16:24:06.4210556Z + MALLOC_CONF=oversize_threshold:1,background_thread:true,metadata_thp:auto,dirty_decay_ms:-1,muzzy_decay_ms:-1
2025-11-03T16:24:06.4210886Z ++ uname -m
2025-11-03T16:24:06.4220799Z + [[ x86_64 != \a\a\r\c\h\6\4 ]]
2025-11-03T16:24:06.4226939Z +++ which python
2025-11-03T16:24:06.4240888Z ++ dirname /opt/conda/envs/py_3.10/bin/python
2025-11-03T16:24:06.4270172Z + IOMP_LIB=/opt/conda/envs/py_3.10/bin/../lib/libiomp5.so
2025-11-03T16:24:06.4270593Z + export LD_PRELOAD=/opt/conda/envs/py_3.10/bin/../lib/libiomp5.so:/usr/lib/x86_64-linux-gnu/libjemalloc.so.2:
2025-11-03T16:24:06.4271088Z + LD_PRELOAD=/opt/conda/envs/py_3.10/bin/../lib/libiomp5.so:/usr/lib/x86_64-linux-gnu/libjemalloc.so.2:
2025-11-03T16:24:06.4271452Z + export KMP_AFFINITY=granularity=fine,compact,1,0
2025-11-03T16:24:06.4271703Z + KMP_AFFINITY=granularity=fine,compact,1,0
2025-11-03T16:24:06.4271926Z + export KMP_BLOCKTIME=1
2025-11-03T16:24:06.4272103Z + KMP_BLOCKTIME=1
2025-11-03T16:24:06.4274031Z ++ nproc
2025-11-03T16:24:06.4291264Z + cpus=96
2025-11-03T16:24:06.4296528Z ++ lscpu
2025-11-03T16:24:06.4297504Z ++ grep 'Thread(s) per core:'
2025-11-03T16:24:06.4298193Z ++ awk '{print $4}'
2025-11-03T16:24:06.4554067Z + thread_per_core=2
2025-11-03T16:24:06.4554335Z + cores=48
2025-11-03T16:24:06.4554519Z ++ uname -m
2025-11-03T16:24:06.4574026Z + [[ x86_64 == \a\a\r\c\h\6\4 ]]
2025-11-03T16:24:06.4574242Z + export OMP_NUM_THREADS=48
2025-11-03T16:24:06.4574444Z + OMP_NUM_THREADS=48
2025-11-03T16:24:06.4575590Z ++ python -c 'import os; print(min(os.sched_getaffinity(0)))'
2025-11-03T16:24:06.4779799Z + start_cpu=0
2025-11-03T16:24:06.4780090Z ++ python -c 'import os; print(max(os.sched_getaffinity(0)))'
2025-11-03T16:24:06.4973501Z + end_cpu=93
2025-11-03T16:24:06.4973766Z + export 'TASKSET=taskset -c 0-93'
2025-11-03T16:24:06.4973981Z + TASKSET='taskset -c 0-93'
2025-11-03T16:24:06.4974290Z + MODELS_SPEEDUP_TARGET=benchmarks/dynamo/expected_ci_speedup_inductor_torchbench_cpu.csv
2025-11-03T16:24:06.4974623Z + grep -v '^ *#'
2025-11-03T16:24:06.4974783Z + IFS=,
2025-11-03T16:24:06.4974923Z + read -r -a model_cfg
2025-11-03T16:24:06.4996312Z + local model_name=phlippe_densenet
2025-11-03T16:24:06.4996514Z + local data_type=float32
2025-11-03T16:24:06.4996703Z + local speedup_target=1.46474287
2025-11-03T16:24:06.4996886Z + local backend=inductor
2025-11-03T16:24:06.4997064Z + [[ default == \c\p\p ]]
2025-11-03T16:24:06.4997253Z + unset TORCHINDUCTOR_CPP_WRAPPER
2025-11-03T16:24:06.4997705Z + local output_name=/var/lib/jenkins/workspace/test/test-reports/inductor_inference_phlippe_densenet_inductor_float32_static_cpu_smoketest.csv
2025-11-03T16:24:06.4998144Z + [[ static == \d\y\n\a\m\i\c ]]
2025-11-03T16:24:06.4998916Z + taskset -c 0-93 python benchmarks/dynamo/torchbench.py --inference --performance --float32 -dcpu -n50 --only phlippe_densenet --freezing --timeout 9000 --inductor --output /var/lib/jenkins/workspace/test/test-reports/inductor_inference_phlippe_densenet_inductor_float32_static_cpu_smoketest.csv
2025-11-03T16:24:06.7566007Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-11-03T16:24:06.7567432Z   import pynvml  # type: ignore[import]
2025-11-03T16:24:08.5072509Z 
2025-11-03T16:24:08.7177516Z loading model: 0it [00:00, ?it/s]
2025-11-03T16:24:08.7177828Z loading model: 0it [00:00, ?it/s]
2025-11-03T16:24:08.7181288Z cpu  eval  phlippe_densenet                   
2025-11-03T16:24:15.2624638Z cudagraph partition due to non gpu ops
2025-11-03T16:24:15.2624969Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2625354Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2625715Z     return mod(*inputs)
2025-11-03T16:24:15.2626013Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 165, in forward
2025-11-03T16:24:15.2626321Z     x = self.input_net(x)
2025-11-03T16:24:15.2626435Z 
2025-11-03T16:24:15.2626541Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2626888Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2627191Z     return mod(*inputs)
2025-11-03T16:24:15.2628469Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 165, in forward
2025-11-03T16:24:15.2628813Z     x = self.input_net(x)
2025-11-03T16:24:15.2628928Z 
2025-11-03T16:24:15.2629028Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2629370Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2629680Z     return mod(*inputs)
2025-11-03T16:24:15.2629960Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2630251Z     x = self.blocks(x)
2025-11-03T16:24:15.2630541Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-11-03T16:24:15.2630837Z     out = self.block(x)
2025-11-03T16:24:15.2631115Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-11-03T16:24:15.2631400Z     out = self.net(x)
2025-11-03T16:24:15.2631504Z 
2025-11-03T16:24:15.2631608Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2631949Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2632249Z     return mod(*inputs)
2025-11-03T16:24:15.2632523Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2632801Z     x = self.blocks(x)
2025-11-03T16:24:15.2633075Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-11-03T16:24:15.2633370Z     out = self.block(x)
2025-11-03T16:24:15.2633650Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-11-03T16:24:15.2633932Z     out = self.net(x)
2025-11-03T16:24:15.2634033Z 
2025-11-03T16:24:15.2634129Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2634639Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2634937Z     return mod(*inputs)
2025-11-03T16:24:15.2635207Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2635492Z     x = self.blocks(x)
2025-11-03T16:24:15.2635763Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-11-03T16:24:15.2636054Z     out = self.block(x)
2025-11-03T16:24:15.2636327Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-11-03T16:24:15.2636713Z     out = self.net(x)
2025-11-03T16:24:15.2636811Z 
2025-11-03T16:24:15.2636909Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2637248Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2637559Z     return mod(*inputs)
2025-11-03T16:24:15.2637829Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2638127Z     x = self.blocks(x)
2025-11-03T16:24:15.2638401Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-11-03T16:24:15.2638696Z     out = self.block(x)
2025-11-03T16:24:15.2638978Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-11-03T16:24:15.2639264Z     out = self.net(x)
2025-11-03T16:24:15.2639366Z 
2025-11-03T16:24:15.2639450Z cudagraph partition due to non gpu ops
2025-11-03T16:24:15.2639696Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2640033Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2640334Z     return mod(*inputs)
2025-11-03T16:24:15.2640618Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2640914Z     x = self.blocks(x)
2025-11-03T16:24:15.2641186Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-11-03T16:24:15.2641471Z     out = self.block(x)
2025-11-03T16:24:15.2641790Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 33, in forward
2025-11-03T16:24:15.2642096Z     out = torch.cat([out, x], dim=1)
2025-11-03T16:24:15.2642225Z 
2025-11-03T16:24:15.2642338Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2642671Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2642979Z     return mod(*inputs)
2025-11-03T16:24:15.2643261Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2643566Z     x = self.blocks(x)
2025-11-03T16:24:15.2643841Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-11-03T16:24:15.2644129Z     out = self.block(x)
2025-11-03T16:24:15.2644408Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-11-03T16:24:15.2644702Z     out = self.net(x)
2025-11-03T16:24:15.2644798Z 
2025-11-03T16:24:15.2644901Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2645240Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2645544Z     return mod(*inputs)
2025-11-03T16:24:15.2645820Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2646112Z     x = self.blocks(x)
2025-11-03T16:24:15.2646372Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-11-03T16:24:15.2646666Z     out = self.block(x)
2025-11-03T16:24:15.2646938Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-11-03T16:24:15.2647226Z     out = self.net(x)
2025-11-03T16:24:15.2647320Z 
2025-11-03T16:24:15.2647426Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2647762Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2648068Z     return mod(*inputs)
2025-11-03T16:24:15.2648345Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2648639Z     x = self.blocks(x)
2025-11-03T16:24:15.2648903Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-11-03T16:24:15.2649191Z     out = self.block(x)
2025-11-03T16:24:15.2649460Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-11-03T16:24:15.2649788Z     out = self.net(x)
2025-11-03T16:24:15.2649879Z 
2025-11-03T16:24:15.2649980Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2650309Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2650604Z     return mod(*inputs)
2025-11-03T16:24:15.2650870Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2651160Z     x = self.blocks(x)
2025-11-03T16:24:15.2651417Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-11-03T16:24:15.2651701Z     out = self.block(x)
2025-11-03T16:24:15.2651966Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-11-03T16:24:15.2652249Z     out = self.net(x)
2025-11-03T16:24:15.2652340Z 
2025-11-03T16:24:15.2652418Z cudagraph partition due to non gpu ops
2025-11-03T16:24:15.2652647Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2652980Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2653275Z     return mod(*inputs)
2025-11-03T16:24:15.2653547Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2653910Z     x = self.blocks(x)
2025-11-03T16:24:15.2654245Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-11-03T16:24:15.2654537Z     out = self.block(x)
2025-11-03T16:24:15.2654806Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 33, in forward
2025-11-03T16:24:15.2655098Z     out = torch.cat([out, x], dim=1)
2025-11-03T16:24:15.2655228Z 
2025-11-03T16:24:15.2655326Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2655665Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2655966Z     return mod(*inputs)
2025-11-03T16:24:15.2656236Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2656522Z     x = self.blocks(x)
2025-11-03T16:24:15.2656794Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-11-03T16:24:15.2657084Z     out = self.block(x)
2025-11-03T16:24:15.2657355Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-11-03T16:24:15.2657637Z     out = self.net(x)
2025-11-03T16:24:15.2657734Z 
2025-11-03T16:24:15.2657829Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2658163Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2658461Z     return mod(*inputs)
2025-11-03T16:24:15.2658720Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2659009Z     x = self.blocks(x)
2025-11-03T16:24:15.2659272Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-11-03T16:24:15.2659561Z     out = self.block(x)
2025-11-03T16:24:15.2659829Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-11-03T16:24:15.2660111Z     out = self.net(x)
2025-11-03T16:24:15.2660213Z 
2025-11-03T16:24:15.2660307Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2660645Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2660943Z     return mod(*inputs)
2025-11-03T16:24:15.2661210Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2661499Z     x = self.blocks(x)
2025-11-03T16:24:15.2661764Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-11-03T16:24:15.2662052Z     out = self.block(x)
2025-11-03T16:24:15.2662370Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-11-03T16:24:15.2662658Z     out = self.net(x)
2025-11-03T16:24:15.2662759Z 
2025-11-03T16:24:15.2662857Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2663192Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2663487Z     return mod(*inputs)
2025-11-03T16:24:15.2663750Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2664038Z     x = self.blocks(x)
2025-11-03T16:24:15.2664302Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-11-03T16:24:15.2664593Z     out = self.block(x)
2025-11-03T16:24:15.2664858Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-11-03T16:24:15.2665146Z     out = self.net(x)
2025-11-03T16:24:15.2665245Z 
2025-11-03T16:24:15.2665325Z cudagraph partition due to non gpu ops
2025-11-03T16:24:15.2665551Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2665887Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2666177Z     return mod(*inputs)
2025-11-03T16:24:15.2666453Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2666742Z     x = self.blocks(x)
2025-11-03T16:24:15.2667075Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-11-03T16:24:15.2667358Z     out = self.block(x)
2025-11-03T16:24:15.2667626Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 33, in forward
2025-11-03T16:24:15.2667926Z     out = torch.cat([out, x], dim=1)
2025-11-03T16:24:15.2668051Z 
2025-11-03T16:24:15.2668157Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2668485Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2668793Z     return mod(*inputs)
2025-11-03T16:24:15.2669066Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2669362Z     x = self.blocks(x)
2025-11-03T16:24:15.2669630Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-11-03T16:24:15.2669911Z     out = self.block(x)
2025-11-03T16:24:15.2670185Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-11-03T16:24:15.2670477Z     out = self.net(x)
2025-11-03T16:24:15.2670571Z 
2025-11-03T16:24:15.2670679Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2671009Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2671308Z     return mod(*inputs)
2025-11-03T16:24:15.2671580Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2671876Z     x = self.blocks(x)
2025-11-03T16:24:15.2672144Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-11-03T16:24:15.2672424Z     out = self.block(x)
2025-11-03T16:24:15.2672689Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-11-03T16:24:15.2672978Z     out = self.net(x)
2025-11-03T16:24:15.2673070Z 
2025-11-03T16:24:15.2673173Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2673503Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2673802Z     return mod(*inputs)
2025-11-03T16:24:15.2674083Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2674377Z     x = self.blocks(x)
2025-11-03T16:24:15.2674638Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-11-03T16:24:15.2674989Z     out = self.block(x)
2025-11-03T16:24:15.2675259Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-11-03T16:24:15.2675544Z     out = self.net(x)
2025-11-03T16:24:15.2675636Z 
2025-11-03T16:24:15.2675738Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2676063Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2676364Z     return mod(*inputs)
2025-11-03T16:24:15.2676640Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2676930Z     x = self.blocks(x)
2025-11-03T16:24:15.2677187Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-11-03T16:24:15.2677474Z     out = self.block(x)
2025-11-03T16:24:15.2677741Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-11-03T16:24:15.2678026Z     out = self.net(x)
2025-11-03T16:24:15.2678119Z 
2025-11-03T16:24:15.2678201Z cudagraph partition due to non gpu ops
2025-11-03T16:24:15.2678420Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2678754Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2679057Z     return mod(*inputs)
2025-11-03T16:24:15.2679329Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2679610Z     x = self.blocks(x)
2025-11-03T16:24:15.2679909Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-11-03T16:24:15.2680202Z     out = self.block(x)
2025-11-03T16:24:15.2680468Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 33, in forward
2025-11-03T16:24:15.2680758Z     out = torch.cat([out, x], dim=1)
2025-11-03T16:24:15.2680889Z 
2025-11-03T16:24:15.2680986Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2681330Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2681635Z     return mod(*inputs)
2025-11-03T16:24:15.2681906Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2682192Z     x = self.blocks(x)
2025-11-03T16:24:15.2682466Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-11-03T16:24:15.2682758Z     out = self.block(x)
2025-11-03T16:24:15.2683032Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-11-03T16:24:15.2683316Z     out = self.net(x)
2025-11-03T16:24:15.2683419Z 
2025-11-03T16:24:15.2683516Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2683855Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2684161Z     return mod(*inputs)
2025-11-03T16:24:15.2684427Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2684719Z     x = self.blocks(x)
2025-11-03T16:24:15.2684986Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-11-03T16:24:15.2685276Z     out = self.block(x)
2025-11-03T16:24:15.2685543Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-11-03T16:24:15.2685824Z     out = self.net(x)
2025-11-03T16:24:15.2685925Z 
2025-11-03T16:24:15.2686024Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2686362Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2686661Z     return mod(*inputs)
2025-11-03T16:24:15.2686927Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2687214Z     x = self.blocks(x)
2025-11-03T16:24:15.2687479Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-11-03T16:24:15.2687802Z     out = self.block(x)
2025-11-03T16:24:15.2688071Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-11-03T16:24:15.2688350Z     out = self.net(x)
2025-11-03T16:24:15.2688448Z 
2025-11-03T16:24:15.2688546Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2688878Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2689186Z     return mod(*inputs)
2025-11-03T16:24:15.2689455Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2689742Z     x = self.blocks(x)
2025-11-03T16:24:15.2690011Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-11-03T16:24:15.2690322Z     out = self.block(x)
2025-11-03T16:24:15.2690595Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-11-03T16:24:15.2690892Z     out = self.net(x)
2025-11-03T16:24:15.2690983Z 
2025-11-03T16:24:15.2691061Z cudagraph partition due to non gpu ops
2025-11-03T16:24:15.2691292Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2691631Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2691933Z     return mod(*inputs)
2025-11-03T16:24:15.2692197Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2692526Z     x = self.blocks(x)
2025-11-03T16:24:15.2692795Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-11-03T16:24:15.2693084Z     out = self.block(x)
2025-11-03T16:24:15.2693345Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 33, in forward
2025-11-03T16:24:15.2693648Z     out = torch.cat([out, x], dim=1)
2025-11-03T16:24:15.2693775Z 
2025-11-03T16:24:15.2693873Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2694218Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2694521Z     return mod(*inputs)
2025-11-03T16:24:15.2694784Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2695078Z     x = self.blocks(x)
2025-11-03T16:24:15.2695345Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-11-03T16:24:15.2695636Z     out = self.block(x)
2025-11-03T16:24:15.2695895Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-11-03T16:24:15.2696184Z     out = self.net(x)
2025-11-03T16:24:15.2696284Z 
2025-11-03T16:24:15.2696382Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2696730Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2697034Z     return mod(*inputs)
2025-11-03T16:24:15.2697302Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2697590Z     x = self.blocks(x)
2025-11-03T16:24:15.2697854Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-11-03T16:24:15.2698144Z     out = self.block(x)
2025-11-03T16:24:15.2698403Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-11-03T16:24:15.2698691Z     out = self.net(x)
2025-11-03T16:24:15.2698794Z 
2025-11-03T16:24:15.2698891Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2699224Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2699520Z     return mod(*inputs)
2025-11-03T16:24:15.2699791Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2700080Z     x = self.blocks(x)
2025-11-03T16:24:15.2700384Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-11-03T16:24:15.2700669Z     out = self.block(x)
2025-11-03T16:24:15.2700931Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-11-03T16:24:15.2701220Z     out = self.net(x)
2025-11-03T16:24:15.2701322Z 
2025-11-03T16:24:15.2701418Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2701758Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2702056Z     return mod(*inputs)
2025-11-03T16:24:15.2702333Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2702624Z     x = self.blocks(x)
2025-11-03T16:24:15.2702896Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-11-03T16:24:15.2703186Z     out = self.block(x)
2025-11-03T16:24:15.2703445Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-11-03T16:24:15.2703736Z     out = self.net(x)
2025-11-03T16:24:15.2703828Z 
2025-11-03T16:24:15.2703912Z cudagraph partition due to non gpu ops
2025-11-03T16:24:15.2704144Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2704475Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2704778Z     return mod(*inputs)
2025-11-03T16:24:15.2705089Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2705385Z     x = self.blocks(x)
2025-11-03T16:24:15.2705646Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-11-03T16:24:15.2705935Z     out = self.block(x)
2025-11-03T16:24:15.2706205Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 33, in forward
2025-11-03T16:24:15.2706502Z     out = torch.cat([out, x], dim=1)
2025-11-03T16:24:15.2706628Z 
2025-11-03T16:24:15.2706732Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2707064Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2707369Z     return mod(*inputs)
2025-11-03T16:24:15.2707642Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2707930Z     x = self.blocks(x)
2025-11-03T16:24:15.2708194Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 79, in forward
2025-11-03T16:24:15.2708496Z     return self.transition(x)
2025-11-03T16:24:15.2708616Z 
2025-11-03T16:24:15.2708714Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2709051Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2709353Z     return mod(*inputs)
2025-11-03T16:24:15.2709615Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2709908Z     x = self.blocks(x)
2025-11-03T16:24:15.2710175Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 79, in forward
2025-11-03T16:24:15.2710471Z     return self.transition(x)
2025-11-03T16:24:15.2710583Z 
2025-11-03T16:24:15.2710680Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2711018Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2711322Z     return mod(*inputs)
2025-11-03T16:24:15.2711599Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2711883Z     x = self.blocks(x)
2025-11-03T16:24:15.2712149Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 79, in forward
2025-11-03T16:24:15.2712447Z     return self.transition(x)
2025-11-03T16:24:15.2712561Z 
2025-11-03T16:24:15.2712665Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2713035Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2713330Z     return mod(*inputs)
2025-11-03T16:24:15.2713607Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2713898Z     x = self.blocks(x)
2025-11-03T16:24:15.2714164Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-11-03T16:24:15.2714446Z     out = self.block(x)
2025-11-03T16:24:15.2714717Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-11-03T16:24:15.2715008Z     out = self.net(x)
2025-11-03T16:24:15.2715102Z 
2025-11-03T16:24:15.2715206Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2715551Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2715846Z     return mod(*inputs)
2025-11-03T16:24:15.2716118Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2716413Z     x = self.blocks(x)
2025-11-03T16:24:15.2716679Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-11-03T16:24:15.2716960Z     out = self.block(x)
2025-11-03T16:24:15.2717230Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-11-03T16:24:15.2717517Z     out = self.net(x)
2025-11-03T16:24:15.2717610Z 
2025-11-03T16:24:15.2717759Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2718092Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2718397Z     return mod(*inputs)
2025-11-03T16:24:15.2718673Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2718965Z     x = self.blocks(x)
2025-11-03T16:24:15.2719230Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-11-03T16:24:15.2719520Z     out = self.block(x)
2025-11-03T16:24:15.2719788Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-11-03T16:24:15.2720078Z     out = self.net(x)
2025-11-03T16:24:15.2720171Z 
2025-11-03T16:24:15.2720273Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2720603Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2720911Z     return mod(*inputs)
2025-11-03T16:24:15.2721185Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2721479Z     x = self.blocks(x)
2025-11-03T16:24:15.2721742Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-11-03T16:24:15.2722024Z     out = self.block(x)
2025-11-03T16:24:15.2722294Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-11-03T16:24:15.2722584Z     out = self.net(x)
2025-11-03T16:24:15.2722676Z 
2025-11-03T16:24:15.2722759Z cudagraph partition due to non gpu ops
2025-11-03T16:24:15.2722979Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2723316Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2723615Z     return mod(*inputs)
2025-11-03T16:24:15.2723893Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2724176Z     x = self.blocks(x)
2025-11-03T16:24:15.2724441Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-11-03T16:24:15.2724730Z     out = self.block(x)
2025-11-03T16:24:15.2724998Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 33, in forward
2025-11-03T16:24:15.2725293Z     out = torch.cat([out, x], dim=1)
2025-11-03T16:24:15.2725415Z 
2025-11-03T16:24:15.2726051Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2726390Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2726697Z     return mod(*inputs)
2025-11-03T16:24:15.2726974Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2727260Z     x = self.blocks(x)
2025-11-03T16:24:15.2727531Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-11-03T16:24:15.2727825Z     out = self.block(x)
2025-11-03T16:24:15.2728095Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-11-03T16:24:15.2728377Z     out = self.net(x)
2025-11-03T16:24:15.2728479Z 
2025-11-03T16:24:15.2728574Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2728914Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2729217Z     return mod(*inputs)
2025-11-03T16:24:15.2729490Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2729772Z     x = self.blocks(x)
2025-11-03T16:24:15.2730040Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-11-03T16:24:15.2730329Z     out = self.block(x)
2025-11-03T16:24:15.2730599Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-11-03T16:24:15.2730912Z     out = self.net(x)
2025-11-03T16:24:15.2731017Z 
2025-11-03T16:24:15.2731112Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2731445Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2731748Z     return mod(*inputs)
2025-11-03T16:24:15.2732021Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2732308Z     x = self.blocks(x)
2025-11-03T16:24:15.2732578Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-11-03T16:24:15.2732865Z     out = self.block(x)
2025-11-03T16:24:15.2733131Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-11-03T16:24:15.2733410Z     out = self.net(x)
2025-11-03T16:24:15.2733512Z 
2025-11-03T16:24:15.2733605Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2733944Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2734247Z     return mod(*inputs)
2025-11-03T16:24:15.2734510Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2734808Z     x = self.blocks(x)
2025-11-03T16:24:15.2735073Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-11-03T16:24:15.2735362Z     out = self.block(x)
2025-11-03T16:24:15.2735630Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-11-03T16:24:15.2735911Z     out = self.net(x)
2025-11-03T16:24:15.2736008Z 
2025-11-03T16:24:15.2736082Z cudagraph partition due to non gpu ops
2025-11-03T16:24:15.2736307Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2736641Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2736934Z     return mod(*inputs)
2025-11-03T16:24:15.2737208Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2737497Z     x = self.blocks(x)
2025-11-03T16:24:15.2737763Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-11-03T16:24:15.2738049Z     out = self.block(x)
2025-11-03T16:24:15.2738305Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 33, in forward
2025-11-03T16:24:15.2738599Z     out = torch.cat([out, x], dim=1)
2025-11-03T16:24:15.2738753Z 
2025-11-03T16:24:15.2738860Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2739205Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2739508Z     return mod(*inputs)
2025-11-03T16:24:15.2739786Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2740081Z     x = self.blocks(x)
2025-11-03T16:24:15.2740357Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-11-03T16:24:15.2740648Z     out = self.block(x)
2025-11-03T16:24:15.2740922Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-11-03T16:24:15.2741217Z     out = self.net(x)
2025-11-03T16:24:15.2741313Z 
2025-11-03T16:24:15.2741427Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2741779Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2742085Z     return mod(*inputs)
2025-11-03T16:24:15.2742380Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2742678Z     x = self.blocks(x)
2025-11-03T16:24:15.2742951Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-11-03T16:24:15.2743240Z     out = self.block(x)
2025-11-03T16:24:15.2743546Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-11-03T16:24:15.2743837Z     out = self.net(x)
2025-11-03T16:24:15.2743928Z 
2025-11-03T16:24:15.2744035Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2744373Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2744666Z     return mod(*inputs)
2025-11-03T16:24:15.2744937Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2745231Z     x = self.blocks(x)
2025-11-03T16:24:15.2745500Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-11-03T16:24:15.2745780Z     out = self.block(x)
2025-11-03T16:24:15.2746046Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-11-03T16:24:15.2746330Z     out = self.net(x)
2025-11-03T16:24:15.2746423Z 
2025-11-03T16:24:15.2746528Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2746864Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2747166Z     return mod(*inputs)
2025-11-03T16:24:15.2747437Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2747725Z     x = self.blocks(x)
2025-11-03T16:24:15.2747994Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-11-03T16:24:15.2748275Z     out = self.block(x)
2025-11-03T16:24:15.2748551Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-11-03T16:24:15.2748838Z     out = self.net(x)
2025-11-03T16:24:15.2748930Z 
2025-11-03T16:24:15.2749013Z cudagraph partition due to non gpu ops
2025-11-03T16:24:15.2749231Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2749570Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2749871Z     return mod(*inputs)
2025-11-03T16:24:15.2750150Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2750433Z     x = self.blocks(x)
2025-11-03T16:24:15.2750701Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-11-03T16:24:15.2750986Z     out = self.block(x)
2025-11-03T16:24:15.2751255Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 33, in forward
2025-11-03T16:24:15.2751587Z     out = torch.cat([out, x], dim=1)
2025-11-03T16:24:15.2751710Z 
2025-11-03T16:24:15.2751808Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2752146Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2752449Z     return mod(*inputs)
2025-11-03T16:24:15.2752725Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2753007Z     x = self.blocks(x)
2025-11-03T16:24:15.2753278Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-11-03T16:24:15.2753604Z     out = self.block(x)
2025-11-03T16:24:15.2753872Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-11-03T16:24:15.2754162Z     out = self.net(x)
2025-11-03T16:24:15.2754254Z 
2025-11-03T16:24:15.2754351Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2754689Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2754999Z     return mod(*inputs)
2025-11-03T16:24:15.2755283Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2755569Z     x = self.blocks(x)
2025-11-03T16:24:15.2755850Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-11-03T16:24:15.2756151Z     out = self.block(x)
2025-11-03T16:24:15.2756481Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-11-03T16:24:15.2756764Z     out = self.net(x)
2025-11-03T16:24:15.2756867Z 
2025-11-03T16:24:15.2756961Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2757301Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2757602Z     return mod(*inputs)
2025-11-03T16:24:15.2757873Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2758159Z     x = self.blocks(x)
2025-11-03T16:24:15.2758434Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-11-03T16:24:15.2758728Z     out = self.block(x)
2025-11-03T16:24:15.2759001Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-11-03T16:24:15.2759284Z     out = self.net(x)
2025-11-03T16:24:15.2759387Z 
2025-11-03T16:24:15.2759490Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2759828Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2760132Z     return mod(*inputs)
2025-11-03T16:24:15.2760408Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2760693Z     x = self.blocks(x)
2025-11-03T16:24:15.2760961Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-11-03T16:24:15.2761250Z     out = self.block(x)
2025-11-03T16:24:15.2761517Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-11-03T16:24:15.2761792Z     out = self.net(x)
2025-11-03T16:24:15.2761892Z 
2025-11-03T16:24:15.2761967Z cudagraph partition due to non gpu ops
2025-11-03T16:24:15.2762192Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2762530Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2762822Z     return mod(*inputs)
2025-11-03T16:24:15.2763096Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2763383Z     x = self.blocks(x)
2025-11-03T16:24:15.2763645Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-11-03T16:24:15.2763931Z     out = self.block(x)
2025-11-03T16:24:15.2764189Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 33, in forward
2025-11-03T16:24:15.2764531Z     out = torch.cat([out, x], dim=1)
2025-11-03T16:24:15.2764652Z 
2025-11-03T16:24:15.2764760Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2765096Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2765388Z     return mod(*inputs)
2025-11-03T16:24:15.2765661Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2765956Z     x = self.blocks(x)
2025-11-03T16:24:15.2766228Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-11-03T16:24:15.2766511Z     out = self.block(x)
2025-11-03T16:24:15.2766780Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-11-03T16:24:15.2767064Z     out = self.net(x)
2025-11-03T16:24:15.2767156Z 
2025-11-03T16:24:15.2767260Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2767600Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2767892Z     return mod(*inputs)
2025-11-03T16:24:15.2768167Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2768458Z     x = self.blocks(x)
2025-11-03T16:24:15.2768725Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-11-03T16:24:15.2769007Z     out = self.block(x)
2025-11-03T16:24:15.2769326Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-11-03T16:24:15.2769619Z     out = self.net(x)
2025-11-03T16:24:15.2769714Z 
2025-11-03T16:24:15.2769816Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2770156Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2770451Z     return mod(*inputs)
2025-11-03T16:24:15.2770728Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2771024Z     x = self.blocks(x)
2025-11-03T16:24:15.2771292Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-11-03T16:24:15.2771572Z     out = self.block(x)
2025-11-03T16:24:15.2771841Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-11-03T16:24:15.2772131Z     out = self.net(x)
2025-11-03T16:24:15.2772221Z 
2025-11-03T16:24:15.2772327Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2772657Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2772963Z     return mod(*inputs)
2025-11-03T16:24:15.2773238Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2773529Z     x = self.blocks(x)
2025-11-03T16:24:15.2773791Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-11-03T16:24:15.2774076Z     out = self.block(x)
2025-11-03T16:24:15.2774348Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-11-03T16:24:15.2774633Z     out = self.net(x)
2025-11-03T16:24:15.2774725Z 
2025-11-03T16:24:15.2774807Z cudagraph partition due to non gpu ops
2025-11-03T16:24:15.2775024Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2775361Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2775665Z     return mod(*inputs)
2025-11-03T16:24:15.2775936Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2776225Z     x = self.blocks(x)
2025-11-03T16:24:15.2776483Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-11-03T16:24:15.2776777Z     out = self.block(x)
2025-11-03T16:24:15.2777074Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 33, in forward
2025-11-03T16:24:15.2777365Z     out = torch.cat([out, x], dim=1)
2025-11-03T16:24:15.2777483Z 
2025-11-03T16:24:15.2777579Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2777917Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2778219Z     return mod(*inputs)
2025-11-03T16:24:15.2778497Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2778776Z     x = self.blocks(x)
2025-11-03T16:24:15.2779045Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-11-03T16:24:15.2779330Z     out = self.block(x)
2025-11-03T16:24:15.2779597Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-11-03T16:24:15.2779888Z     out = self.net(x)
2025-11-03T16:24:15.2779980Z 
2025-11-03T16:24:15.2780080Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2780416Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2780720Z     return mod(*inputs)
2025-11-03T16:24:15.2780995Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2781276Z     x = self.blocks(x)
2025-11-03T16:24:15.2781573Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-11-03T16:24:15.2781858Z     out = self.block(x)
2025-11-03T16:24:15.2782126Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-11-03T16:24:15.2782411Z     out = self.net(x)
2025-11-03T16:24:15.2782513Z 
2025-11-03T16:24:15.2782607Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2782947Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2783254Z     return mod(*inputs)
2025-11-03T16:24:15.2783525Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2783806Z     x = self.blocks(x)
2025-11-03T16:24:15.2784071Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-11-03T16:24:15.2784360Z     out = self.block(x)
2025-11-03T16:24:15.2784629Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-11-03T16:24:15.2784912Z     out = self.net(x)
2025-11-03T16:24:15.2785013Z 
2025-11-03T16:24:15.2785108Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2785446Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2785751Z     return mod(*inputs)
2025-11-03T16:24:15.2786024Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2786308Z     x = self.blocks(x)
2025-11-03T16:24:15.2786575Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-11-03T16:24:15.2786860Z     out = self.block(x)
2025-11-03T16:24:15.2787123Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-11-03T16:24:15.2787401Z     out = self.net(x)
2025-11-03T16:24:15.2787501Z 
2025-11-03T16:24:15.2787576Z cudagraph partition due to non gpu ops
2025-11-03T16:24:15.2787802Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2788143Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2788435Z     return mod(*inputs)
2025-11-03T16:24:15.2788708Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2788994Z     x = self.blocks(x)
2025-11-03T16:24:15.2789256Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-11-03T16:24:15.2789574Z     out = self.block(x)
2025-11-03T16:24:15.2789831Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 33, in forward
2025-11-03T16:24:15.2790127Z     out = torch.cat([out, x], dim=1)
2025-11-03T16:24:15.2790247Z 
2025-11-03T16:24:15.2790354Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2790686Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2790980Z     return mod(*inputs)
2025-11-03T16:24:15.2791255Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2791550Z     x = self.blocks(x)
2025-11-03T16:24:15.2791820Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 79, in forward
2025-11-03T16:24:15.2792121Z     return self.transition(x)
2025-11-03T16:24:15.2792232Z 
2025-11-03T16:24:15.2792331Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2792669Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2792971Z     return mod(*inputs)
2025-11-03T16:24:15.2793244Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2793523Z     x = self.blocks(x)
2025-11-03T16:24:15.2793797Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 79, in forward
2025-11-03T16:24:15.2794094Z     return self.transition(x)
2025-11-03T16:24:15.2794205Z 
2025-11-03T16:24:15.2794348Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2794683Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2794976Z     return mod(*inputs)
2025-11-03T16:24:15.2795245Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2795538Z     x = self.blocks(x)
2025-11-03T16:24:15.2795802Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 79, in forward
2025-11-03T16:24:15.2796089Z     return self.transition(x)
2025-11-03T16:24:15.2796209Z 
2025-11-03T16:24:15.2796306Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2796639Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2796941Z     return mod(*inputs)
2025-11-03T16:24:15.2797209Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2797504Z     x = self.blocks(x)
2025-11-03T16:24:15.2797773Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-11-03T16:24:15.2798060Z     out = self.block(x)
2025-11-03T16:24:15.2798324Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-11-03T16:24:15.2798602Z     out = self.net(x)
2025-11-03T16:24:15.2798703Z 
2025-11-03T16:24:15.2798799Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2799136Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2799435Z     return mod(*inputs)
2025-11-03T16:24:15.2799699Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2799988Z     x = self.blocks(x)
2025-11-03T16:24:15.2800253Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-11-03T16:24:15.2800541Z     out = self.block(x)
2025-11-03T16:24:15.2800800Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-11-03T16:24:15.2801084Z     out = self.net(x)
2025-11-03T16:24:15.2801184Z 
2025-11-03T16:24:15.2801279Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2801611Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2801909Z     return mod(*inputs)
2025-11-03T16:24:15.2802206Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2802491Z     x = self.blocks(x)
2025-11-03T16:24:15.2802750Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-11-03T16:24:15.2803033Z     out = self.block(x)
2025-11-03T16:24:15.2803289Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-11-03T16:24:15.2803574Z     out = self.net(x)
2025-11-03T16:24:15.2803675Z 
2025-11-03T16:24:15.2803772Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2804105Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2804408Z     return mod(*inputs)
2025-11-03T16:24:15.2804676Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2804968Z     x = self.blocks(x)
2025-11-03T16:24:15.2805233Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-11-03T16:24:15.2805525Z     out = self.block(x)
2025-11-03T16:24:15.2805783Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-11-03T16:24:15.2806072Z     out = self.net(x)
2025-11-03T16:24:15.2806172Z 
2025-11-03T16:24:15.2806249Z cudagraph partition due to non gpu ops
2025-11-03T16:24:15.2806474Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2806831Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2807140Z     return mod(*inputs)
2025-11-03T16:24:15.2807414Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2807703Z     x = self.blocks(x)
2025-11-03T16:24:15.2807967Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-11-03T16:24:15.2808248Z     out = self.block(x)
2025-11-03T16:24:15.2808520Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 33, in forward
2025-11-03T16:24:15.2808816Z     out = torch.cat([out, x], dim=1)
2025-11-03T16:24:15.2808938Z 
2025-11-03T16:24:15.2809043Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2809376Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2809678Z     return mod(*inputs)
2025-11-03T16:24:15.2809955Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2810250Z     x = self.blocks(x)
2025-11-03T16:24:15.2810521Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-11-03T16:24:15.2810803Z     out = self.block(x)
2025-11-03T16:24:15.2811074Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-11-03T16:24:15.2811362Z     out = self.net(x)
2025-11-03T16:24:15.2811457Z 
2025-11-03T16:24:15.2811564Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2811894Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2812195Z     return mod(*inputs)
2025-11-03T16:24:15.2812468Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2812759Z     x = self.blocks(x)
2025-11-03T16:24:15.2813019Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-11-03T16:24:15.2813315Z     out = self.block(x)
2025-11-03T16:24:15.2813580Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-11-03T16:24:15.2813865Z     out = self.net(x)
2025-11-03T16:24:15.2813957Z 
2025-11-03T16:24:15.2814062Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2814386Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2814739Z     return mod(*inputs)
2025-11-03T16:24:15.2815009Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2815302Z     x = self.blocks(x)
2025-11-03T16:24:15.2815558Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-11-03T16:24:15.2815844Z     out = self.block(x)
2025-11-03T16:24:15.2816114Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-11-03T16:24:15.2816402Z     out = self.net(x)
2025-11-03T16:24:15.2816492Z 
2025-11-03T16:24:15.2816595Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2816925Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2817229Z     return mod(*inputs)
2025-11-03T16:24:15.2817506Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2817797Z     x = self.blocks(x)
2025-11-03T16:24:15.2818061Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-11-03T16:24:15.2818351Z     out = self.block(x)
2025-11-03T16:24:15.2818616Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-11-03T16:24:15.2818900Z     out = self.net(x)
2025-11-03T16:24:15.2818990Z 
2025-11-03T16:24:15.2819065Z cudagraph partition due to non gpu ops
2025-11-03T16:24:15.2819295Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2819671Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2819977Z     return mod(*inputs)
2025-11-03T16:24:15.2820248Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2820530Z     x = self.blocks(x)
2025-11-03T16:24:15.2820798Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-11-03T16:24:15.2821099Z     out = self.block(x)
2025-11-03T16:24:15.2821374Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 33, in forward
2025-11-03T16:24:15.2821662Z     out = torch.cat([out, x], dim=1)
2025-11-03T16:24:15.2821795Z 
2025-11-03T16:24:15.2821892Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2822232Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2822536Z     return mod(*inputs)
2025-11-03T16:24:15.2822809Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2823103Z     x = self.blocks(x)
2025-11-03T16:24:15.2823373Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-11-03T16:24:15.2823661Z     out = self.block(x)
2025-11-03T16:24:15.2823926Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-11-03T16:24:15.2824205Z     out = self.net(x)
2025-11-03T16:24:15.2824304Z 
2025-11-03T16:24:15.2824399Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2824734Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2825037Z     return mod(*inputs)
2025-11-03T16:24:15.2825303Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2825590Z     x = self.blocks(x)
2025-11-03T16:24:15.2825858Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-11-03T16:24:15.2826146Z     out = self.block(x)
2025-11-03T16:24:15.2826413Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-11-03T16:24:15.2826692Z     out = self.net(x)
2025-11-03T16:24:15.2826790Z 
2025-11-03T16:24:15.2826886Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2827226Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2827563Z     return mod(*inputs)
2025-11-03T16:24:15.2827830Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2828116Z     x = self.blocks(x)
2025-11-03T16:24:15.2828381Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-11-03T16:24:15.2828667Z     out = self.block(x)
2025-11-03T16:24:15.2828930Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-11-03T16:24:15.2829218Z     out = self.net(x)
2025-11-03T16:24:15.2829315Z 
2025-11-03T16:24:15.2829411Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2829747Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2830045Z     return mod(*inputs)
2025-11-03T16:24:15.2830311Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2830608Z     x = self.blocks(x)
2025-11-03T16:24:15.2830874Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-11-03T16:24:15.2831163Z     out = self.block(x)
2025-11-03T16:24:15.2831425Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-11-03T16:24:15.2831713Z     out = self.net(x)
2025-11-03T16:24:15.2831813Z 
2025-11-03T16:24:15.2831891Z cudagraph partition due to non gpu ops
2025-11-03T16:24:15.2832154Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2832484Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2832782Z     return mod(*inputs)
2025-11-03T16:24:15.2833054Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2833346Z     x = self.blocks(x)
2025-11-03T16:24:15.2833618Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-11-03T16:24:15.2833902Z     out = self.block(x)
2025-11-03T16:24:15.2834168Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 33, in forward
2025-11-03T16:24:15.2834468Z     out = torch.cat([out, x], dim=1)
2025-11-03T16:24:15.2834588Z 
2025-11-03T16:24:15.2834697Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2835028Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2835336Z     return mod(*inputs)
2025-11-03T16:24:15.2835610Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2835897Z     x = self.blocks(x)
2025-11-03T16:24:15.2836163Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-11-03T16:24:15.2836444Z     out = self.block(x)
2025-11-03T16:24:15.2836714Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-11-03T16:24:15.2837003Z     out = self.net(x)
2025-11-03T16:24:15.2837096Z 
2025-11-03T16:24:15.2837198Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2837527Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2837823Z     return mod(*inputs)
2025-11-03T16:24:15.2838092Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2838385Z     x = self.blocks(x)
2025-11-03T16:24:15.2838644Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-11-03T16:24:15.2838930Z     out = self.block(x)
2025-11-03T16:24:15.2839197Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-11-03T16:24:15.2839485Z     out = self.net(x)
2025-11-03T16:24:15.2839575Z 
2025-11-03T16:24:15.2839763Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2840127Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2840431Z     return mod(*inputs)
2025-11-03T16:24:15.2840704Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2840996Z     x = self.blocks(x)
2025-11-03T16:24:15.2841256Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-11-03T16:24:15.2841553Z     out = self.block(x)
2025-11-03T16:24:15.2841830Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-11-03T16:24:15.2842124Z     out = self.net(x)
2025-11-03T16:24:15.2842215Z 
2025-11-03T16:24:15.2842319Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2842647Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2842954Z     return mod(*inputs)
2025-11-03T16:24:15.2843225Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2843528Z     x = self.blocks(x)
2025-11-03T16:24:15.2843787Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-11-03T16:24:15.2844083Z     out = self.block(x)
2025-11-03T16:24:15.2844351Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-11-03T16:24:15.2844646Z     out = self.net(x)
2025-11-03T16:24:15.2844738Z 
2025-11-03T16:24:15.2844854Z cudagraph partition due to non gpu ops
2025-11-03T16:24:15.2845078Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2845421Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2845720Z     return mod(*inputs)
2025-11-03T16:24:15.2845994Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2846274Z     x = self.blocks(x)
2025-11-03T16:24:15.2846546Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-11-03T16:24:15.2846830Z     out = self.block(x)
2025-11-03T16:24:15.2847099Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 33, in forward
2025-11-03T16:24:15.2847388Z     out = torch.cat([out, x], dim=1)
2025-11-03T16:24:15.2847518Z 
2025-11-03T16:24:15.2847616Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2847959Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2848261Z     return mod(*inputs)
2025-11-03T16:24:15.2848534Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2848817Z     x = self.blocks(x)
2025-11-03T16:24:15.2849082Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-11-03T16:24:15.2849369Z     out = self.block(x)
2025-11-03T16:24:15.2849637Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-11-03T16:24:15.2849916Z     out = self.net(x)
2025-11-03T16:24:15.2850015Z 
2025-11-03T16:24:15.2850112Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2850447Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2850746Z     return mod(*inputs)
2025-11-03T16:24:15.2851018Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2851303Z     x = self.blocks(x)
2025-11-03T16:24:15.2851566Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-11-03T16:24:15.2851850Z     out = self.block(x)
2025-11-03T16:24:15.2852113Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-11-03T16:24:15.2852390Z     out = self.net(x)
2025-11-03T16:24:15.2852490Z 
2025-11-03T16:24:15.2852584Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2852956Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2853259Z     return mod(*inputs)
2025-11-03T16:24:15.2853525Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2853844Z     x = self.blocks(x)
2025-11-03T16:24:15.2854112Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-11-03T16:24:15.2854404Z     out = self.block(x)
2025-11-03T16:24:15.2854668Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-11-03T16:24:15.2854945Z     out = self.net(x)
2025-11-03T16:24:15.2855046Z 
2025-11-03T16:24:15.2855141Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2855473Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2855775Z     return mod(*inputs)
2025-11-03T16:24:15.2856047Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2856338Z     x = self.blocks(x)
2025-11-03T16:24:15.2856610Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-11-03T16:24:15.2856897Z     out = self.block(x)
2025-11-03T16:24:15.2857159Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-11-03T16:24:15.2857448Z     out = self.net(x)
2025-11-03T16:24:15.2857601Z 
2025-11-03T16:24:15.2857679Z cudagraph partition due to non gpu ops
2025-11-03T16:24:15.2857908Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2858243Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2858545Z     return mod(*inputs)
2025-11-03T16:24:15.2858823Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2859114Z     x = self.blocks(x)
2025-11-03T16:24:15.2859382Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-11-03T16:24:15.2859666Z     out = self.block(x)
2025-11-03T16:24:15.2859938Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 33, in forward
2025-11-03T16:24:15.2860243Z     out = torch.cat([out, x], dim=1)
2025-11-03T16:24:15.2860364Z 
2025-11-03T16:24:15.2860473Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2860815Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2861112Z     return mod(*inputs)
2025-11-03T16:24:15.2861388Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2861680Z     x = self.blocks(x)
2025-11-03T16:24:15.2861947Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-11-03T16:24:15.2862233Z     out = self.block(x)
2025-11-03T16:24:15.2862503Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-11-03T16:24:15.2862790Z     out = self.net(x)
2025-11-03T16:24:15.2862884Z 
2025-11-03T16:24:15.2862988Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2863317Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2863621Z     return mod(*inputs)
2025-11-03T16:24:15.2863897Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2864192Z     x = self.blocks(x)
2025-11-03T16:24:15.2864459Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-11-03T16:24:15.2864737Z     out = self.block(x)
2025-11-03T16:24:15.2865004Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-11-03T16:24:15.2865289Z     out = self.net(x)
2025-11-03T16:24:15.2865459Z 
2025-11-03T16:24:15.2865560Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2865890Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2866189Z     return mod(*inputs)
2025-11-03T16:24:15.2866461Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2866750Z     x = self.blocks(x)
2025-11-03T16:24:15.2867014Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-11-03T16:24:15.2867303Z     out = self.block(x)
2025-11-03T16:24:15.2867574Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-11-03T16:24:15.2867862Z     out = self.net(x)
2025-11-03T16:24:15.2867955Z 
2025-11-03T16:24:15.2868061Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2868389Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2868693Z     return mod(*inputs)
2025-11-03T16:24:15.2868962Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2869255Z     x = self.blocks(x)
2025-11-03T16:24:15.2869512Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-11-03T16:24:15.2869801Z     out = self.block(x)
2025-11-03T16:24:15.2870069Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-11-03T16:24:15.2870393Z     out = self.net(x)
2025-11-03T16:24:15.2870488Z 
2025-11-03T16:24:15.2870573Z cudagraph partition due to non gpu ops
2025-11-03T16:24:15.2870794Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2871134Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2871435Z     return mod(*inputs)
2025-11-03T16:24:15.2871706Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2871989Z     x = self.blocks(x)
2025-11-03T16:24:15.2872255Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-11-03T16:24:15.2872537Z     out = self.block(x)
2025-11-03T16:24:15.2872801Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 33, in forward
2025-11-03T16:24:15.2873085Z     out = torch.cat([out, x], dim=1)
2025-11-03T16:24:15.2873216Z 
2025-11-03T16:24:15.2873317Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2873657Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2873957Z     return mod(*inputs)
2025-11-03T16:24:15.2874230Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2874510Z     x = self.blocks(x)
2025-11-03T16:24:15.2874779Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 79, in forward
2025-11-03T16:24:15.2875080Z     return self.transition(x)
2025-11-03T16:24:15.2875190Z 
2025-11-03T16:24:15.2875295Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2875623Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2875919Z     return mod(*inputs)
2025-11-03T16:24:15.2876185Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2876476Z     x = self.blocks(x)
2025-11-03T16:24:15.2876740Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 79, in forward
2025-11-03T16:24:15.2877024Z     return self.transition(x)
2025-11-03T16:24:15.2877140Z 
2025-11-03T16:24:15.2877239Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2877575Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2877873Z     return mod(*inputs)
2025-11-03T16:24:15.2878170Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2878458Z     x = self.blocks(x)
2025-11-03T16:24:15.2878721Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 79, in forward
2025-11-03T16:24:15.2879015Z     return self.transition(x)
2025-11-03T16:24:15.2879125Z 
2025-11-03T16:24:15.2879228Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2879557Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2879856Z     return mod(*inputs)
2025-11-03T16:24:15.2880130Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2880415Z     x = self.blocks(x)
2025-11-03T16:24:15.2880674Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-11-03T16:24:15.2880965Z     out = self.block(x)
2025-11-03T16:24:15.2881233Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-11-03T16:24:15.2881517Z     out = self.net(x)
2025-11-03T16:24:15.2881608Z 
2025-11-03T16:24:15.2881704Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2882039Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2882338Z     return mod(*inputs)
2025-11-03T16:24:15.2882639Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2882940Z     x = self.blocks(x)
2025-11-03T16:24:15.2883198Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-11-03T16:24:15.2883488Z     out = self.block(x)
2025-11-03T16:24:15.2883756Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-11-03T16:24:15.2884040Z     out = self.net(x)
2025-11-03T16:24:15.2884130Z 
2025-11-03T16:24:15.2884226Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2884564Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2884864Z     return mod(*inputs)
2025-11-03T16:24:15.2885131Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2885418Z     x = self.blocks(x)
2025-11-03T16:24:15.2885675Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-11-03T16:24:15.2885965Z     out = self.block(x)
2025-11-03T16:24:15.2886233Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-11-03T16:24:15.2886519Z     out = self.net(x)
2025-11-03T16:24:15.2886610Z 
2025-11-03T16:24:15.2886706Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2887042Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2887340Z     return mod(*inputs)
2025-11-03T16:24:15.2887613Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2887890Z     x = self.blocks(x)
2025-11-03T16:24:15.2888158Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-11-03T16:24:15.2888444Z     out = self.block(x)
2025-11-03T16:24:15.2888709Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-11-03T16:24:15.2888995Z     out = self.net(x)
2025-11-03T16:24:15.2889090Z 
2025-11-03T16:24:15.2889166Z cudagraph partition due to non gpu ops
2025-11-03T16:24:15.2889392Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2889724Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2890023Z     return mod(*inputs)
2025-11-03T16:24:15.2890284Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2890604Z     x = self.blocks(x)
2025-11-03T16:24:15.2890869Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-11-03T16:24:15.2891155Z     out = self.block(x)
2025-11-03T16:24:15.2891412Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 33, in forward
2025-11-03T16:24:15.2891705Z     out = torch.cat([out, x], dim=1)
2025-11-03T16:24:15.2891831Z 
2025-11-03T16:24:15.2891928Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2892270Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2892568Z     return mod(*inputs)
2025-11-03T16:24:15.2892835Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2893127Z     x = self.blocks(x)
2025-11-03T16:24:15.2893393Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-11-03T16:24:15.2893682Z     out = self.block(x)
2025-11-03T16:24:15.2893945Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-11-03T16:24:15.2894232Z     out = self.net(x)
2025-11-03T16:24:15.2894330Z 
2025-11-03T16:24:15.2894425Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2894767Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2895070Z     return mod(*inputs)
2025-11-03T16:24:15.2895366Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2895663Z     x = self.blocks(x)
2025-11-03T16:24:15.2895930Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-11-03T16:24:15.2896224Z     out = self.block(x)
2025-11-03T16:24:15.2896484Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-11-03T16:24:15.2896772Z     out = self.net(x)
2025-11-03T16:24:15.2896875Z 
2025-11-03T16:24:15.2896973Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2897308Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2897601Z     return mod(*inputs)
2025-11-03T16:24:15.2897878Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2898166Z     x = self.blocks(x)
2025-11-03T16:24:15.2898435Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-11-03T16:24:15.2898727Z     out = self.block(x)
2025-11-03T16:24:15.2898986Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-11-03T16:24:15.2899274Z     out = self.net(x)
2025-11-03T16:24:15.2899365Z 
2025-11-03T16:24:15.2899467Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2899801Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2900100Z     return mod(*inputs)
2025-11-03T16:24:15.2900375Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2900659Z     x = self.blocks(x)
2025-11-03T16:24:15.2900927Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-11-03T16:24:15.2901213Z     out = self.block(x)
2025-11-03T16:24:15.2901474Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-11-03T16:24:15.2901759Z     out = self.net(x)
2025-11-03T16:24:15.2901850Z 
2025-11-03T16:24:15.2901935Z cudagraph partition due to non gpu ops
2025-11-03T16:24:15.2902156Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2902484Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2902782Z     return mod(*inputs)
2025-11-03T16:24:15.2903052Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2903379Z     x = self.blocks(x)
2025-11-03T16:24:15.2903633Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-11-03T16:24:15.2903920Z     out = self.block(x)
2025-11-03T16:24:15.2904187Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 33, in forward
2025-11-03T16:24:15.2904479Z     out = torch.cat([out, x], dim=1)
2025-11-03T16:24:15.2904600Z 
2025-11-03T16:24:15.2904704Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2905030Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2905330Z     return mod(*inputs)
2025-11-03T16:24:15.2905607Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2905898Z     x = self.blocks(x)
2025-11-03T16:24:15.2906152Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-11-03T16:24:15.2906442Z     out = self.block(x)
2025-11-03T16:24:15.2906710Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-11-03T16:24:15.2906993Z     out = self.net(x)
2025-11-03T16:24:15.2907085Z 
2025-11-03T16:24:15.2907180Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2907520Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2907867Z     return mod(*inputs)
2025-11-03T16:24:15.2908145Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2908434Z     x = self.blocks(x)
2025-11-03T16:24:15.2908696Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-11-03T16:24:15.2908987Z     out = self.block(x)
2025-11-03T16:24:15.2909258Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-11-03T16:24:15.2909549Z     out = self.net(x)
2025-11-03T16:24:15.2909640Z 
2025-11-03T16:24:15.2909737Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2910074Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2910379Z     return mod(*inputs)
2025-11-03T16:24:15.2910655Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2910946Z     x = self.blocks(x)
2025-11-03T16:24:15.2911211Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-11-03T16:24:15.2911496Z     out = self.block(x)
2025-11-03T16:24:15.2911770Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-11-03T16:24:15.2912060Z     out = self.net(x)
2025-11-03T16:24:15.2912151Z 
2025-11-03T16:24:15.2912248Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2912585Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2912887Z     return mod(*inputs)
2025-11-03T16:24:15.2913161Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2913219Z     x = self.blocks(x)
2025-11-03T16:24:15.2913394Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-11-03T16:24:15.2913455Z     out = self.block(x)
2025-11-03T16:24:15.2913624Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-11-03T16:24:15.2913696Z     out = self.net(x)
2025-11-03T16:24:15.2913699Z 
2025-11-03T16:24:15.2913776Z cudagraph partition due to non gpu ops
2025-11-03T16:24:15.2913878Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2914061Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2914120Z     return mod(*inputs)
2025-11-03T16:24:15.2914329Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2914387Z     x = self.blocks(x)
2025-11-03T16:24:15.2914558Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-11-03T16:24:15.2914617Z     out = self.block(x)
2025-11-03T16:24:15.2914782Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 33, in forward
2025-11-03T16:24:15.2914859Z     out = torch.cat([out, x], dim=1)
2025-11-03T16:24:15.2914866Z 
2025-11-03T16:24:15.2914964Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2915147Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2915207Z     return mod(*inputs)
2025-11-03T16:24:15.2915377Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2915447Z     x = self.blocks(x)
2025-11-03T16:24:15.2915615Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-11-03T16:24:15.2915680Z     out = self.block(x)
2025-11-03T16:24:15.2915847Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-11-03T16:24:15.2915907Z     out = self.net(x)
2025-11-03T16:24:15.2915910Z 
2025-11-03T16:24:15.2916014Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2916219Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2916288Z     return mod(*inputs)
2025-11-03T16:24:15.2916455Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2916515Z     x = self.blocks(x)
2025-11-03T16:24:15.2916688Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-11-03T16:24:15.2916747Z     out = self.block(x)
2025-11-03T16:24:15.2916921Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-11-03T16:24:15.2916983Z     out = self.net(x)
2025-11-03T16:24:15.2916985Z 
2025-11-03T16:24:15.2917080Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2917273Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2917333Z     return mod(*inputs)
2025-11-03T16:24:15.2917508Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2917570Z     x = self.blocks(x)
2025-11-03T16:24:15.2917740Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-11-03T16:24:15.2917800Z     out = self.block(x)
2025-11-03T16:24:15.2917964Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-11-03T16:24:15.2918033Z     out = self.net(x)
2025-11-03T16:24:15.2918035Z 
2025-11-03T16:24:15.2918131Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2918325Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2918386Z     return mod(*inputs)
2025-11-03T16:24:15.2918556Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2918622Z     x = self.blocks(x)
2025-11-03T16:24:15.2918788Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-11-03T16:24:15.2918853Z     out = self.block(x)
2025-11-03T16:24:15.2919022Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-11-03T16:24:15.2919080Z     out = self.net(x)
2025-11-03T16:24:15.2919083Z 
2025-11-03T16:24:15.2919168Z cudagraph partition due to non gpu ops
2025-11-03T16:24:15.2919263Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2919448Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2919541Z     return mod(*inputs)
2025-11-03T16:24:15.2919710Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2919777Z     x = self.blocks(x)
2025-11-03T16:24:15.2919945Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-11-03T16:24:15.2920012Z     out = self.block(x)
2025-11-03T16:24:15.2920179Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 33, in forward
2025-11-03T16:24:15.2920249Z     out = torch.cat([out, x], dim=1)
2025-11-03T16:24:15.2920253Z 
2025-11-03T16:24:15.2920362Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2920543Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2920612Z     return mod(*inputs)
2025-11-03T16:24:15.2920782Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2920846Z     x = self.blocks(x)
2025-11-03T16:24:15.2921023Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-11-03T16:24:15.2921084Z     out = self.block(x)
2025-11-03T16:24:15.2921255Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-11-03T16:24:15.2921316Z     out = self.net(x)
2025-11-03T16:24:15.2921319Z 
2025-11-03T16:24:15.2921422Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2921638Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2921702Z     return mod(*inputs)
2025-11-03T16:24:15.2921880Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2921939Z     x = self.blocks(x)
2025-11-03T16:24:15.2922112Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-11-03T16:24:15.2922172Z     out = self.block(x)
2025-11-03T16:24:15.2922340Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-11-03T16:24:15.2922406Z     out = self.net(x)
2025-11-03T16:24:15.2922410Z 
2025-11-03T16:24:15.2922506Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2922695Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2922758Z     return mod(*inputs)
2025-11-03T16:24:15.2922929Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2923000Z     x = self.blocks(x)
2025-11-03T16:24:15.2923168Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-11-03T16:24:15.2923234Z     out = self.block(x)
2025-11-03T16:24:15.2923402Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-11-03T16:24:15.2923461Z     out = self.net(x)
2025-11-03T16:24:15.2923463Z 
2025-11-03T16:24:15.2923571Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2923752Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2923819Z     return mod(*inputs)
2025-11-03T16:24:15.2923988Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2924047Z     x = self.blocks(x)
2025-11-03T16:24:15.2924224Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-11-03T16:24:15.2924287Z     out = self.block(x)
2025-11-03T16:24:15.2924466Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-11-03T16:24:15.2924526Z     out = self.net(x)
2025-11-03T16:24:15.2924529Z 
2025-11-03T16:24:15.2924604Z cudagraph partition due to non gpu ops
2025-11-03T16:24:15.2924706Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2924886Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2924985Z     return mod(*inputs)
2025-11-03T16:24:15.2925155Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2925213Z     x = self.blocks(x)
2025-11-03T16:24:15.2925388Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-11-03T16:24:15.2925447Z     out = self.block(x)
2025-11-03T16:24:15.2925624Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 33, in forward
2025-11-03T16:24:15.2925694Z     out = torch.cat([out, x], dim=1)
2025-11-03T16:24:15.2925697Z 
2025-11-03T16:24:15.2925799Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2925985Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2926047Z     return mod(*inputs)
2025-11-03T16:24:15.2926227Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2926290Z     x = self.blocks(x)
2025-11-03T16:24:15.2926464Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-11-03T16:24:15.2926524Z     out = self.block(x)
2025-11-03T16:24:15.2926693Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-11-03T16:24:15.2926758Z     out = self.net(x)
2025-11-03T16:24:15.2926761Z 
2025-11-03T16:24:15.2926862Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2927085Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2927146Z     return mod(*inputs)
2025-11-03T16:24:15.2927317Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2927384Z     x = self.blocks(x)
2025-11-03T16:24:15.2927551Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-11-03T16:24:15.2927620Z     out = self.block(x)
2025-11-03T16:24:15.2927787Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-11-03T16:24:15.2927845Z     out = self.net(x)
2025-11-03T16:24:15.2927848Z 
2025-11-03T16:24:15.2927953Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2928131Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2928197Z     return mod(*inputs)
2025-11-03T16:24:15.2928368Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2928425Z     x = self.blocks(x)
2025-11-03T16:24:15.2928599Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-11-03T16:24:15.2928659Z     out = self.block(x)
2025-11-03T16:24:15.2928834Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-11-03T16:24:15.2928893Z     out = self.net(x)
2025-11-03T16:24:15.2928899Z 
2025-11-03T16:24:15.2928994Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2929183Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2929243Z     return mod(*inputs)
2025-11-03T16:24:15.2929419Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2929478Z     x = self.blocks(x)
2025-11-03T16:24:15.2929655Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-11-03T16:24:15.2929716Z     out = self.block(x)
2025-11-03T16:24:15.2929882Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-11-03T16:24:15.2929950Z     out = self.net(x)
2025-11-03T16:24:15.2929952Z 
2025-11-03T16:24:15.2930025Z cudagraph partition due to non gpu ops
2025-11-03T16:24:15.2930127Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2930340Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2930401Z     return mod(*inputs)
2025-11-03T16:24:15.2930581Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-11-03T16:24:15.2930640Z     x = self.blocks(x)
2025-11-03T16:24:15.2930812Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-11-03T16:24:15.2930872Z     out = self.block(x)
2025-11-03T16:24:15.2931041Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 33, in forward
2025-11-03T16:24:15.2931119Z     out = torch.cat([out, x], dim=1)
2025-11-03T16:24:15.2931122Z 
2025-11-03T16:24:15.2931195Z cudagraph partition due to non gpu ops
2025-11-03T16:24:15.2931298Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:15.2931478Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:15.2931540Z     return mod(*inputs)
2025-11-03T16:24:15.2931719Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 167, in forward
2025-11-03T16:24:15.2931785Z     x = self.output_net(x)
2025-11-03T16:24:15.2931789Z 
2025-11-03T16:24:15.2931870Z cudagraph partition due to non gpu ops
2025-11-03T16:24:15.2931941Z cudagraph partition due to non gpu ops
2025-11-03T16:24:39.7081735Z 
2025-11-03T16:24:39.8085966Z running benchmark:   0% 0/50 [00:00<?, ?it/s]
2025-11-03T16:24:39.9416954Z running benchmark:   6% 3/50 [00:00<00:01, 29.73it/s]
2025-11-03T16:24:40.0744687Z running benchmark:  14% 7/50 [00:00<00:01, 29.94it/s]
2025-11-03T16:24:40.2078413Z running benchmark:  22% 11/50 [00:00<00:01, 30.02it/s]
2025-11-03T16:24:40.3084797Z running benchmark:  30% 15/50 [00:00<00:01, 30.01it/s]
2025-11-03T16:24:40.4089708Z running benchmark:  36% 18/50 [00:00<00:01, 29.95it/s]
2025-11-03T16:24:40.5090980Z running benchmark:  42% 21/50 [00:00<00:00, 29.92it/s]
2025-11-03T16:24:40.6154641Z running benchmark:  48% 24/50 [00:00<00:00, 29.93it/s]
2025-11-03T16:24:40.7474607Z running benchmark:  54% 27/50 [00:00<00:00, 29.39it/s]
2025-11-03T16:24:40.8800588Z running benchmark:  62% 31/50 [00:01<00:00, 29.72it/s]
2025-11-03T16:24:41.0118228Z running benchmark:  70% 35/50 [00:01<00:00, 29.87it/s]
2025-11-03T16:24:41.1439562Z running benchmark:  78% 39/50 [00:01<00:00, 30.03it/s]
2025-11-03T16:24:41.2779403Z running benchmark:  86% 43/50 [00:01<00:00, 30.11it/s]
2025-11-03T16:24:41.3784963Z running benchmark:  94% 47/50 [00:01<00:00, 30.03it/s]
2025-11-03T16:24:41.3785508Z running benchmark: 100% 50/50 [00:01<00:00, 29.92it/s]
2025-11-03T16:24:41.4229967Z 1.868x
2025-11-03T16:24:41.4230375Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:24:42.3936376Z + cat /var/lib/jenkins/workspace/test/test-reports/inductor_inference_phlippe_densenet_inductor_float32_static_cpu_smoketest.csv
2025-11-03T16:24:42.3949109Z dev,name,batch_size,speedup,abs_latency,compilation_latency,compression_ratio,eager_peak_mem,dynamo_peak_mem,calls_captured,unique_graphs,graph_breaks,unique_graph_breaks,autograd_captures,autograd_compiles,cudagraph_skips
2025-11-03T16:24:42.3949824Z cpu,phlippe_densenet,128,1.867910,11.229851,30.232983,0.939232,170.622157,181.661286,186,1,0,0,0,0,1
2025-11-03T16:24:42.3950470Z + python benchmarks/dynamo/check_perf_csv.py -f /var/lib/jenkins/workspace/test/test-reports/inductor_inference_phlippe_densenet_inductor_float32_static_cpu_smoketest.csv -t 1.46474287 -s 0.99
2025-11-03T16:24:42.6427577Z phlippe_densenet                   1.86791
2025-11-03T16:24:42.6818888Z + IFS=,
2025-11-03T16:24:42.6819124Z + read -r -a model_cfg
2025-11-03T16:24:42.6819359Z + local model_name=basic_gnn_edgecnn
2025-11-03T16:24:42.6819602Z + local data_type=float32
2025-11-03T16:24:42.6819824Z + local speedup_target=1.30092957
2025-11-03T16:24:42.6820043Z + local backend=inductor
2025-11-03T16:24:42.6820258Z + [[ default == \c\p\p ]]
2025-11-03T16:24:42.6820470Z + unset TORCHINDUCTOR_CPP_WRAPPER
2025-11-03T16:24:42.6821325Z + local output_name=/var/lib/jenkins/workspace/test/test-reports/inductor_inference_basic_gnn_edgecnn_inductor_float32_dynamic_cpu_smoketest.csv
2025-11-03T16:24:42.6821844Z + [[ dynamic == \d\y\n\a\m\i\c ]]
2025-11-03T16:24:42.6822826Z + taskset -c 0-93 python benchmarks/dynamo/torchbench.py --inference --performance --float32 -dcpu -n50 --only basic_gnn_edgecnn --dynamic-shapes --dynamic-batch-only --freezing --timeout 9000 --inductor --output /var/lib/jenkins/workspace/test/test-reports/inductor_inference_basic_gnn_edgecnn_inductor_float32_dynamic_cpu_smoketest.csv
2025-11-03T16:24:42.9559920Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-11-03T16:24:42.9561495Z   import pynvml  # type: ignore[import]
2025-11-03T16:24:44.6704613Z 
2025-11-03T16:24:45.4851996Z loading model: 0it [00:00, ?it/s]
2025-11-03T16:24:45.4852399Z loading model: 0it [00:00, ?it/s]
2025-11-03T16:24:45.4852735Z cpu  eval  basic_gnn_edgecnn                  
2025-11-03T16:24:47.1818560Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:47.1819020Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:47.1819367Z     return mod(*inputs)
2025-11-03T16:24:47.1820116Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-11-03T16:24:47.1820548Z     x = self.convs[i](x, edge_index)
2025-11-03T16:24:47.1820799Z   File "/tmp/jenkins_pyg/tmp1ze5vv00.py", line 233, in forward
2025-11-03T16:24:47.1821069Z     return self.propagate(edge_index, x=x, size=None)
2025-11-03T16:24:47.1821342Z   File "/tmp/jenkins_pyg/tmp1ze5vv00.py", line 192, in propagate
2025-11-03T16:24:47.1821717Z     out = self.aggregate(out, ptr=kwargs.ptr, index=kwargs.index, dim_size=kwargs.dim_size)
2025-11-03T16:24:47.1822202Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-11-03T16:24:47.1822630Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-11-03T16:24:47.1823023Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-11-03T16:24:47.1823414Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-11-03T16:24:47.1823795Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/basic.py", line 48, in forward
2025-11-03T16:24:47.1824186Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='max')
2025-11-03T16:24:47.1824573Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-11-03T16:24:47.1824927Z     return scatter(x, index, dim, dim_size, reduce)
2025-11-03T16:24:47.1825286Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/utils/scatter.py", line 98, in scatter
2025-11-03T16:24:47.1825642Z     return src.new_zeros(size).scatter_reduce_(
2025-11-03T16:24:47.1825784Z 
2025-11-03T16:24:47.1825898Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:47.1826254Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:47.1826558Z     return mod(*inputs)
2025-11-03T16:24:47.1826892Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-11-03T16:24:47.1827250Z     x = self.convs[i](x, edge_index)
2025-11-03T16:24:47.1827485Z   File "/tmp/jenkins_pyg/tmprb60yemr.py", line 233, in forward
2025-11-03T16:24:47.1827739Z     return self.propagate(edge_index, x=x, size=None)
2025-11-03T16:24:47.1828001Z   File "/tmp/jenkins_pyg/tmprb60yemr.py", line 192, in propagate
2025-11-03T16:24:47.1828456Z     out = self.aggregate(out, ptr=kwargs.ptr, index=kwargs.index, dim_size=kwargs.dim_size)
2025-11-03T16:24:47.1828919Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-11-03T16:24:47.1829346Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-11-03T16:24:47.1829732Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-11-03T16:24:47.1830122Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-11-03T16:24:47.1830497Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/basic.py", line 48, in forward
2025-11-03T16:24:47.1830884Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='max')
2025-11-03T16:24:47.1831260Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-11-03T16:24:47.1831609Z     return scatter(x, index, dim, dim_size, reduce)
2025-11-03T16:24:47.1831961Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/utils/scatter.py", line 98, in scatter
2025-11-03T16:24:47.1832308Z     return src.new_zeros(size).scatter_reduce_(
2025-11-03T16:24:47.1832445Z 
2025-11-03T16:24:47.1832558Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:47.1832907Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:47.1833258Z     return mod(*inputs)
2025-11-03T16:24:47.1833593Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-11-03T16:24:47.1833946Z     x = self.convs[i](x, edge_index)
2025-11-03T16:24:47.1834183Z   File "/tmp/jenkins_pyg/tmpyeo0vlht.py", line 233, in forward
2025-11-03T16:24:47.1834436Z     return self.propagate(edge_index, x=x, size=None)
2025-11-03T16:24:47.1834698Z   File "/tmp/jenkins_pyg/tmpyeo0vlht.py", line 192, in propagate
2025-11-03T16:24:47.1835026Z     out = self.aggregate(out, ptr=kwargs.ptr, index=kwargs.index, dim_size=kwargs.dim_size)
2025-11-03T16:24:47.1835488Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-11-03T16:24:47.1835906Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-11-03T16:24:47.1836289Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-11-03T16:24:47.1836676Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-11-03T16:24:47.1837051Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/basic.py", line 48, in forward
2025-11-03T16:24:47.1837435Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='max')
2025-11-03T16:24:47.1837811Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-11-03T16:24:47.1838163Z     return scatter(x, index, dim, dim_size, reduce)
2025-11-03T16:24:47.1838514Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/utils/scatter.py", line 98, in scatter
2025-11-03T16:24:47.1838862Z     return src.new_zeros(size).scatter_reduce_(
2025-11-03T16:24:47.1838997Z 
2025-11-03T16:24:47.1839108Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:47.1839450Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:47.1839758Z     return mod(*inputs)
2025-11-03T16:24:47.1840089Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-11-03T16:24:47.1840446Z     x = self.convs[i](x, edge_index)
2025-11-03T16:24:47.1840679Z   File "/tmp/jenkins_pyg/tmp1ze5vv00.py", line 233, in forward
2025-11-03T16:24:47.1840931Z     return self.propagate(edge_index, x=x, size=None)
2025-11-03T16:24:47.1841237Z   File "/tmp/jenkins_pyg/tmp1ze5vv00.py", line 191, in propagate
2025-11-03T16:24:47.1841493Z     out = self.message(x_i=kwargs.x_i, x_j=kwargs.x_j)
2025-11-03T16:24:47.1841861Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-11-03T16:24:47.1842229Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-11-03T16:24:47.1842390Z 
2025-11-03T16:24:47.1842469Z cudagraph partition due to non gpu ops
2025-11-03T16:24:47.1842700Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:47.1843038Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:47.1843347Z     return mod(*inputs)
2025-11-03T16:24:47.1843659Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-11-03T16:24:47.1844006Z     x = self.convs[i](x, edge_index)
2025-11-03T16:24:47.1844236Z   File "/tmp/jenkins_pyg/tmp1ze5vv00.py", line 233, in forward
2025-11-03T16:24:47.1844491Z     return self.propagate(edge_index, x=x, size=None)
2025-11-03T16:24:47.1844738Z   File "/tmp/jenkins_pyg/tmp1ze5vv00.py", line 191, in propagate
2025-11-03T16:24:47.1844996Z     out = self.message(x_i=kwargs.x_i, x_j=kwargs.x_j)
2025-11-03T16:24:47.1845356Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-11-03T16:24:47.1845718Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-11-03T16:24:47.1846109Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/mlp.py", line 211, in forward
2025-11-03T16:24:47.1846430Z     x = self.act(x)
2025-11-03T16:24:47.1846527Z 
2025-11-03T16:24:47.1846606Z cudagraph partition due to non gpu ops
2025-11-03T16:24:47.1846832Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:47.1847165Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:47.1847466Z     return mod(*inputs)
2025-11-03T16:24:47.1847787Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-11-03T16:24:47.1848130Z     x = self.convs[i](x, edge_index)
2025-11-03T16:24:47.1848358Z   File "/tmp/jenkins_pyg/tmp1ze5vv00.py", line 233, in forward
2025-11-03T16:24:47.1848607Z     return self.propagate(edge_index, x=x, size=None)
2025-11-03T16:24:47.1848858Z   File "/tmp/jenkins_pyg/tmp1ze5vv00.py", line 191, in propagate
2025-11-03T16:24:47.1849109Z     out = self.message(x_i=kwargs.x_i, x_j=kwargs.x_j)
2025-11-03T16:24:47.1849471Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-11-03T16:24:47.1849836Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-11-03T16:24:47.1850180Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/mlp.py", line 217, in forward
2025-11-03T16:24:47.1850514Z     x = self.lins[-1](x)
2025-11-03T16:24:47.1850833Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-11-03T16:24:47.1851196Z     return F.linear(x, self.weight, self.bias)
2025-11-03T16:24:47.1851332Z 
2025-11-03T16:24:47.1851416Z cudagraph partition due to non gpu ops
2025-11-03T16:24:47.1851636Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:47.1851981Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:47.1852288Z     return mod(*inputs)
2025-11-03T16:24:47.1852608Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-11-03T16:24:47.1852944Z     x = self.convs[i](x, edge_index)
2025-11-03T16:24:47.1853175Z   File "/tmp/jenkins_pyg/tmprb60yemr.py", line 233, in forward
2025-11-03T16:24:47.1853428Z     return self.propagate(edge_index, x=x, size=None)
2025-11-03T16:24:47.1853813Z   File "/tmp/jenkins_pyg/tmprb60yemr.py", line 191, in propagate
2025-11-03T16:24:47.1854061Z     out = self.message(x_i=kwargs.x_i, x_j=kwargs.x_j)
2025-11-03T16:24:47.1854432Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-11-03T16:24:47.1854797Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-11-03T16:24:47.1854939Z 
2025-11-03T16:24:47.1855028Z cudagraph partition due to non gpu ops
2025-11-03T16:24:47.1855263Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:47.1855600Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:47.1855909Z     return mod(*inputs)
2025-11-03T16:24:47.1856238Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-11-03T16:24:47.1856589Z     x = self.convs[i](x, edge_index)
2025-11-03T16:24:47.1856822Z   File "/tmp/jenkins_pyg/tmprb60yemr.py", line 233, in forward
2025-11-03T16:24:47.1857073Z     return self.propagate(edge_index, x=x, size=None)
2025-11-03T16:24:47.1857325Z   File "/tmp/jenkins_pyg/tmprb60yemr.py", line 191, in propagate
2025-11-03T16:24:47.1857579Z     out = self.message(x_i=kwargs.x_i, x_j=kwargs.x_j)
2025-11-03T16:24:47.1857939Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-11-03T16:24:47.1858296Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-11-03T16:24:47.1858732Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/mlp.py", line 211, in forward
2025-11-03T16:24:47.1859065Z     x = self.act(x)
2025-11-03T16:24:47.1859156Z 
2025-11-03T16:24:47.1859242Z cudagraph partition due to non gpu ops
2025-11-03T16:24:47.1859472Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:47.1859808Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:47.1860120Z     return mod(*inputs)
2025-11-03T16:24:47.1860447Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-11-03T16:24:47.1860794Z     x = self.convs[i](x, edge_index)
2025-11-03T16:24:47.1861017Z   File "/tmp/jenkins_pyg/tmprb60yemr.py", line 233, in forward
2025-11-03T16:24:47.1861272Z     return self.propagate(edge_index, x=x, size=None)
2025-11-03T16:24:47.1861535Z   File "/tmp/jenkins_pyg/tmprb60yemr.py", line 191, in propagate
2025-11-03T16:24:47.1861794Z     out = self.message(x_i=kwargs.x_i, x_j=kwargs.x_j)
2025-11-03T16:24:47.1862146Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-11-03T16:24:47.1862514Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-11-03T16:24:47.1862872Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/mlp.py", line 217, in forward
2025-11-03T16:24:47.1863208Z     x = self.lins[-1](x)
2025-11-03T16:24:47.1863534Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-11-03T16:24:47.1863896Z     return F.linear(x, self.weight, self.bias)
2025-11-03T16:24:47.1864041Z 
2025-11-03T16:24:47.1864120Z cudagraph partition due to non gpu ops
2025-11-03T16:24:47.1864348Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:47.1864694Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:47.1864994Z     return mod(*inputs)
2025-11-03T16:24:47.1865346Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-11-03T16:24:47.1865694Z     x = self.convs[i](x, edge_index)
2025-11-03T16:24:47.1865928Z   File "/tmp/jenkins_pyg/tmpyeo0vlht.py", line 233, in forward
2025-11-03T16:24:47.1866183Z     return self.propagate(edge_index, x=x, size=None)
2025-11-03T16:24:47.1866482Z   File "/tmp/jenkins_pyg/tmpyeo0vlht.py", line 191, in propagate
2025-11-03T16:24:47.1866739Z     out = self.message(x_i=kwargs.x_i, x_j=kwargs.x_j)
2025-11-03T16:24:47.1867099Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-11-03T16:24:47.1867461Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-11-03T16:24:47.1867604Z 
2025-11-03T16:24:47.1867690Z cudagraph partition due to non gpu ops
2025-11-03T16:24:47.1867910Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:47.1868247Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:47.1868555Z     return mod(*inputs)
2025-11-03T16:24:47.1868875Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-11-03T16:24:47.1869214Z     x = self.convs[i](x, edge_index)
2025-11-03T16:24:47.1869453Z   File "/tmp/jenkins_pyg/tmpyeo0vlht.py", line 233, in forward
2025-11-03T16:24:47.1869709Z     return self.propagate(edge_index, x=x, size=None)
2025-11-03T16:24:47.1869966Z   File "/tmp/jenkins_pyg/tmpyeo0vlht.py", line 191, in propagate
2025-11-03T16:24:47.1870215Z     out = self.message(x_i=kwargs.x_i, x_j=kwargs.x_j)
2025-11-03T16:24:47.1870576Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-11-03T16:24:47.1870976Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-11-03T16:24:47.1871335Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/mlp.py", line 211, in forward
2025-11-03T16:24:47.1871660Z     x = self.act(x)
2025-11-03T16:24:47.1871753Z 
2025-11-03T16:24:47.1871827Z cudagraph partition due to non gpu ops
2025-11-03T16:24:47.1872058Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:24:47.1872404Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:24:47.1872711Z     return mod(*inputs)
2025-11-03T16:24:47.1873029Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-11-03T16:24:47.1873381Z     x = self.convs[i](x, edge_index)
2025-11-03T16:24:47.1873612Z   File "/tmp/jenkins_pyg/tmpyeo0vlht.py", line 233, in forward
2025-11-03T16:24:47.1873868Z     return self.propagate(edge_index, x=x, size=None)
2025-11-03T16:24:47.1874125Z   File "/tmp/jenkins_pyg/tmpyeo0vlht.py", line 191, in propagate
2025-11-03T16:24:47.1874376Z     out = self.message(x_i=kwargs.x_i, x_j=kwargs.x_j)
2025-11-03T16:24:47.1874738Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-11-03T16:24:47.1875105Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-11-03T16:24:47.1875461Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/mlp.py", line 217, in forward
2025-11-03T16:24:47.1875786Z     x = self.lins[-1](x)
2025-11-03T16:24:47.1876106Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-11-03T16:24:47.1876459Z     return F.linear(x, self.weight, self.bias)
2025-11-03T16:24:47.1876595Z 
2025-11-03T16:24:47.1876679Z cudagraph partition due to non gpu ops
2025-11-03T16:24:54.7187167Z 
2025-11-03T16:24:54.8301487Z running benchmark:   0% 0/50 [00:00<?, ?it/s]
2025-11-03T16:24:54.9400894Z running benchmark:   8% 4/50 [00:00<00:01, 35.76it/s]
2025-11-03T16:24:55.0497804Z running benchmark:  16% 8/50 [00:00<00:01, 36.12it/s]
2025-11-03T16:24:55.1599999Z running benchmark:  24% 12/50 [00:00<00:01, 36.27it/s]
2025-11-03T16:24:55.2757000Z running benchmark:  32% 16/50 [00:00<00:00, 36.28it/s]
2025-11-03T16:24:55.3860348Z running benchmark:  40% 20/50 [00:00<00:00, 35.64it/s]
2025-11-03T16:24:55.4965197Z running benchmark:  48% 24/50 [00:00<00:00, 35.84it/s]
2025-11-03T16:24:55.6067347Z running benchmark:  56% 28/50 [00:00<00:00, 35.96it/s]
2025-11-03T16:24:55.7170873Z running benchmark:  64% 32/50 [00:00<00:00, 36.07it/s]
2025-11-03T16:24:55.8271879Z running benchmark:  72% 36/50 [00:00<00:00, 36.12it/s]
2025-11-03T16:24:55.9369443Z running benchmark:  80% 40/50 [00:01<00:00, 36.18it/s]
2025-11-03T16:24:56.0474176Z running benchmark:  88% 44/50 [00:01<00:00, 36.27it/s]
2025-11-03T16:24:56.1025920Z running benchmark:  96% 48/50 [00:01<00:00, 36.25it/s]
2025-11-03T16:24:56.1026439Z running benchmark: 100% 50/50 [00:01<00:00, 36.12it/s]
2025-11-03T16:24:56.1222747Z 1.488x
2025-11-03T16:24:56.1223265Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:24:56.9043418Z + cat /var/lib/jenkins/workspace/test/test-reports/inductor_inference_basic_gnn_edgecnn_inductor_float32_dynamic_cpu_smoketest.csv
2025-11-03T16:24:56.9063419Z dev,name,batch_size,speedup,abs_latency,compilation_latency,compression_ratio,eager_peak_mem,dynamo_peak_mem,calls_captured,unique_graphs,graph_breaks,unique_graph_breaks,autograd_captures,autograd_compiles,cudagraph_skips
2025-11-03T16:24:56.9064240Z cpu,basic_gnn_edgecnn,1,1.488004,10.880798,8.841564,0.957810,132.769792,138.618061,55,1,0,0,0,0,1
2025-11-03T16:24:56.9065022Z + python benchmarks/dynamo/check_perf_csv.py -f /var/lib/jenkins/workspace/test/test-reports/inductor_inference_basic_gnn_edgecnn_inductor_float32_dynamic_cpu_smoketest.csv -t 1.30092957 -s 0.99
2025-11-03T16:24:57.1554208Z basic_gnn_edgecnn                  1.488004
2025-11-03T16:24:57.1940630Z + IFS=,
2025-11-03T16:24:57.1940875Z + read -r -a model_cfg
2025-11-03T16:24:57.1941099Z + local model_name=llama_v2_7b_16h
2025-11-03T16:24:57.1941328Z + local data_type=float32
2025-11-03T16:24:57.1941542Z + local speedup_target=1.23234331
2025-11-03T16:24:57.1941760Z + local backend=inductor
2025-11-03T16:24:57.1941968Z + [[ default == \c\p\p ]]
2025-11-03T16:24:57.1942177Z + unset TORCHINDUCTOR_CPP_WRAPPER
2025-11-03T16:24:57.1942699Z + local output_name=/var/lib/jenkins/workspace/test/test-reports/inductor_inference_llama_v2_7b_16h_inductor_float32_dynamic_cpu_smoketest.csv
2025-11-03T16:24:57.1943198Z + [[ dynamic == \d\y\n\a\m\i\c ]]
2025-11-03T16:24:57.1944177Z + taskset -c 0-93 python benchmarks/dynamo/torchbench.py --inference --performance --float32 -dcpu -n50 --only llama_v2_7b_16h --dynamic-shapes --dynamic-batch-only --freezing --timeout 9000 --inductor --output /var/lib/jenkins/workspace/test/test-reports/inductor_inference_llama_v2_7b_16h_inductor_float32_dynamic_cpu_smoketest.csv
2025-11-03T16:24:57.4522317Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-11-03T16:24:57.4523767Z   import pynvml  # type: ignore[import]
2025-11-03T16:24:59.1688894Z 
2025-11-03T16:25:23.9075483Z loading model: 0it [00:00, ?it/s]
2025-11-03T16:25:23.9077707Z loading model: 0it [00:24, ?it/s]
2025-11-03T16:25:23.9084851Z cpu  eval  llama_v2_7b_16h                    
2025-11-03T16:25:37.0380587Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.0381135Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.0381495Z     return mod(**inputs)
2025-11-03T16:25:37.0381947Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.0382328Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.0382716Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.0383140Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.0383553Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.0384199Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.0384589Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 392, in forward
2025-11-03T16:25:37.0385033Z     position_embeddings = self.rotary_emb(hidden_states, position_ids)
2025-11-03T16:25:37.0385448Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_contextlib.py", line 124, in decorate_context
2025-11-03T16:25:37.0385801Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0386142Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_rope_utils.py", line 87, in wrapper
2025-11-03T16:25:37.0386507Z     return rope_forward(self, x, position_ids)
2025-11-03T16:25:37.0386887Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 101, in forward
2025-11-03T16:25:37.0387339Z     freqs = (inv_freq_expanded.float() @ position_ids_expanded.float()).transpose(1, 2)
2025-11-03T16:25:37.0387553Z 
2025-11-03T16:25:37.0387673Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.0388038Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.0388358Z     return mod(**inputs)
2025-11-03T16:25:37.0388701Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.0389062Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.0389518Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.0389934Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.0390309Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.0390654Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.0391031Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 382, in forward
2025-11-03T16:25:37.0391404Z     causal_mask = create_causal_mask(
2025-11-03T16:25:37.0391768Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/masking_utils.py", line 787, in create_causal_mask
2025-11-03T16:25:37.0392245Z     early_exit, attention_mask, packed_sequence_mask, kv_length, kv_offset = _preprocess_mask_arguments(
2025-11-03T16:25:37.0392745Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/masking_utils.py", line 739, in _preprocess_mask_arguments
2025-11-03T16:25:37.0393182Z     packed_sequence_mask = find_packed_sequence_indices(position_ids)
2025-11-03T16:25:37.0393616Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/masking_utils.py", line 654, in find_packed_sequence_indices
2025-11-03T16:25:37.0394108Z     first_dummy_value = position_ids[:, :1] - 1  # We just need the diff on this first value to be 1
2025-11-03T16:25:37.0394328Z 
2025-11-03T16:25:37.0394407Z cudagraph partition due to non gpu ops
2025-11-03T16:25:37.0394641Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.0394989Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.0395288Z     return mod(**inputs)
2025-11-03T16:25:37.0395623Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.0395966Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.0396340Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.0396732Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.0397097Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.0397437Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.0397867Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.0398241Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.0398576Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.0398922Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.0399310Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0399676Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0400041Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.0400407Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.0400781Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0401135Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0401495Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 236, in forward
2025-11-03T16:25:37.0401932Z     query_states = self.q_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-11-03T16:25:37.0402123Z 
2025-11-03T16:25:37.0402229Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.0403663Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.0403994Z     return mod(**inputs)
2025-11-03T16:25:37.0404311Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.0404645Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.0405015Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.0405419Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.0405783Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.0406122Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.0406482Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 392, in forward
2025-11-03T16:25:37.0406915Z     position_embeddings = self.rotary_emb(hidden_states, position_ids)
2025-11-03T16:25:37.0407325Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_contextlib.py", line 124, in decorate_context
2025-11-03T16:25:37.0407674Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0408011Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_rope_utils.py", line 87, in wrapper
2025-11-03T16:25:37.0408365Z     return rope_forward(self, x, position_ids)
2025-11-03T16:25:37.0408778Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 101, in forward
2025-11-03T16:25:37.0409235Z     freqs = (inv_freq_expanded.float() @ position_ids_expanded.float()).transpose(1, 2)
2025-11-03T16:25:37.0409437Z 
2025-11-03T16:25:37.0409546Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.0409888Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.0410185Z     return mod(**inputs)
2025-11-03T16:25:37.0410511Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.0410850Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.0411225Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.0411627Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.0411990Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.0412371Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.0412742Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.0413119Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.0413458Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.0413812Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.0414184Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0414542Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0414914Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.0415276Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.0415645Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0415999Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0416361Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-11-03T16:25:37.0416820Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-11-03T16:25:37.0417361Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 138, in apply_rotary_pos_emb
2025-11-03T16:25:37.0417787Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-11-03T16:25:37.0418181Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-11-03T16:25:37.0418572Z     return torch.cat((-x2, x1), dim=-1)
2025-11-03T16:25:37.0418697Z 
2025-11-03T16:25:37.0418783Z cudagraph partition due to non gpu ops
2025-11-03T16:25:37.0419019Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.0419364Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.0419674Z     return mod(**inputs)
2025-11-03T16:25:37.0419992Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.0420327Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.0420704Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.0421093Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.0421455Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.0421797Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.0422161Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.0422534Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.0422870Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.0423215Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.0423587Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0423934Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0424299Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.0424674Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.0425032Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0425391Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0425788Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-11-03T16:25:37.0426239Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-11-03T16:25:37.0426724Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 138, in apply_rotary_pos_emb
2025-11-03T16:25:37.0427145Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-11-03T16:25:37.0427533Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-11-03T16:25:37.0427916Z     return torch.cat((-x2, x1), dim=-1)
2025-11-03T16:25:37.0428047Z 
2025-11-03T16:25:37.0428149Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.0428497Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.0428803Z     return mod(**inputs)
2025-11-03T16:25:37.0429116Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.0429453Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.0429829Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.0430224Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.0430634Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.0430969Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.0431344Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.0431720Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.0432061Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.0432406Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.0432784Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0433145Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0433502Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.0433863Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.0434215Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0434568Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0434920Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-11-03T16:25:37.0435350Z     key_states = self.k_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-11-03T16:25:37.0435535Z 
2025-11-03T16:25:37.0435644Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.0435983Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.0437202Z     return mod(**inputs)
2025-11-03T16:25:37.0437515Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.0437856Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.0438225Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.0438608Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.0438969Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.0439309Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.0439677Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.0440071Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.0440410Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.0440762Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.0441126Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0441481Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0441823Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.0442192Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.0442546Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0442900Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0443255Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-11-03T16:25:37.0443693Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-11-03T16:25:37.0444171Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 139, in apply_rotary_pos_emb
2025-11-03T16:25:37.0444584Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-11-03T16:25:37.0445005Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-11-03T16:25:37.0445384Z     return torch.cat((-x2, x1), dim=-1)
2025-11-03T16:25:37.0445517Z 
2025-11-03T16:25:37.0445597Z cudagraph partition due to non gpu ops
2025-11-03T16:25:37.0445833Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.0446185Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.0446500Z     return mod(**inputs)
2025-11-03T16:25:37.0446818Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.0447162Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.0447539Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.0447936Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.0448306Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.0448642Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.0449016Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.0449392Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.0449733Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.0450076Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.0450441Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0450800Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0451160Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.0451535Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.0451887Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0452247Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0452607Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-11-03T16:25:37.0453063Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-11-03T16:25:37.0453669Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 139, in apply_rotary_pos_emb
2025-11-03T16:25:37.0454084Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-11-03T16:25:37.0454481Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-11-03T16:25:37.0454866Z     return torch.cat((-x2, x1), dim=-1)
2025-11-03T16:25:37.0454994Z 
2025-11-03T16:25:37.0455144Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.0455493Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.0455812Z     return mod(**inputs)
2025-11-03T16:25:37.0456137Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.0456482Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.0456864Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.0457259Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.0457625Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.0457962Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.0458414Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.0458783Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.0459125Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.0459473Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.0459836Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0460200Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0460552Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.0460925Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.0461288Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0461643Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0462004Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 238, in forward
2025-11-03T16:25:37.0462436Z     value_states = self.v_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-11-03T16:25:37.0462634Z 
2025-11-03T16:25:37.0462736Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.0463085Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.0463390Z     return mod(**inputs)
2025-11-03T16:25:37.0463698Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.0464038Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.0464411Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.0464805Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.0465168Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.0465503Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.0465876Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 382, in forward
2025-11-03T16:25:37.0466251Z     causal_mask = create_causal_mask(
2025-11-03T16:25:37.0466615Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/masking_utils.py", line 787, in create_causal_mask
2025-11-03T16:25:37.0467153Z     early_exit, attention_mask, packed_sequence_mask, kv_length, kv_offset = _preprocess_mask_arguments(
2025-11-03T16:25:37.0467646Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/masking_utils.py", line 739, in _preprocess_mask_arguments
2025-11-03T16:25:37.0468077Z     packed_sequence_mask = find_packed_sequence_indices(position_ids)
2025-11-03T16:25:37.0468510Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/masking_utils.py", line 655, in find_packed_sequence_indices
2025-11-03T16:25:37.0468961Z     position_diff = torch.diff(position_ids, prepend=first_dummy_value, dim=-1)
2025-11-03T16:25:37.0469156Z 
2025-11-03T16:25:37.0469241Z cudagraph partition due to non gpu ops
2025-11-03T16:25:37.0469465Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.0469809Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.0470119Z     return mod(**inputs)
2025-11-03T16:25:37.0470440Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.0470775Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.0471149Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.0471542Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.0471937Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.0472273Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.0472631Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 382, in forward
2025-11-03T16:25:37.0473003Z     causal_mask = create_causal_mask(
2025-11-03T16:25:37.0473363Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/masking_utils.py", line 787, in create_causal_mask
2025-11-03T16:25:37.0473840Z     early_exit, attention_mask, packed_sequence_mask, kv_length, kv_offset = _preprocess_mask_arguments(
2025-11-03T16:25:37.0474334Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/masking_utils.py", line 739, in _preprocess_mask_arguments
2025-11-03T16:25:37.0474751Z     packed_sequence_mask = find_packed_sequence_indices(position_ids)
2025-11-03T16:25:37.0475189Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/masking_utils.py", line 656, in find_packed_sequence_indices
2025-11-03T16:25:37.0475606Z     packed_sequence_mask = (position_diff != 1).cumsum(-1)
2025-11-03T16:25:37.0475761Z 
2025-11-03T16:25:37.0475875Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.0476220Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.0476520Z     return mod(**inputs)
2025-11-03T16:25:37.0476836Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.0477170Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.0477538Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.0477919Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.0478278Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.0478616Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.0478985Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 382, in forward
2025-11-03T16:25:37.0479352Z     causal_mask = create_causal_mask(
2025-11-03T16:25:37.0479699Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/masking_utils.py", line 787, in create_causal_mask
2025-11-03T16:25:37.0480217Z     early_exit, attention_mask, packed_sequence_mask, kv_length, kv_offset = _preprocess_mask_arguments(
2025-11-03T16:25:37.0480709Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/masking_utils.py", line 739, in _preprocess_mask_arguments
2025-11-03T16:25:37.0481137Z     packed_sequence_mask = find_packed_sequence_indices(position_ids)
2025-11-03T16:25:37.0481571Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/masking_utils.py", line 656, in find_packed_sequence_indices
2025-11-03T16:25:37.0481979Z     packed_sequence_mask = (position_diff != 1).cumsum(-1)
2025-11-03T16:25:37.0482141Z 
2025-11-03T16:25:37.0482243Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.0482587Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.0482893Z     return mod(**inputs)
2025-11-03T16:25:37.0483211Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.0483550Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.0483918Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.0484307Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.0484690Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.0485022Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.0485391Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.0485755Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.0486088Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.0486440Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.0486798Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0487157Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0487517Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.0487893Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.0488259Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0488610Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0488969Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 252, in forward
2025-11-03T16:25:37.0489364Z     attn_output, attn_weights = attention_interface(
2025-11-03T16:25:37.0489785Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/integrations/sdpa_attention.py", line 83, in sdpa_attention_forward
2025-11-03T16:25:37.0490239Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-11-03T16:25:37.0490420Z 
2025-11-03T16:25:37.0490496Z cudagraph partition due to non gpu ops
2025-11-03T16:25:37.0490728Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.0491072Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.0491380Z     return mod(**inputs)
2025-11-03T16:25:37.0491695Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.0492041Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.0492406Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.0492801Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.0493158Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.0493525Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.0493899Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.0494277Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.0494617Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.0494963Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.0495327Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0495687Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0496048Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.0496419Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.0496770Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0497127Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0497486Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 252, in forward
2025-11-03T16:25:37.0497881Z     attn_output, attn_weights = attention_interface(
2025-11-03T16:25:37.0498336Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/integrations/sdpa_attention.py", line 83, in sdpa_attention_forward
2025-11-03T16:25:37.0498781Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-11-03T16:25:37.0498962Z 
2025-11-03T16:25:37.0499061Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.0499402Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.0499710Z     return mod(**inputs)
2025-11-03T16:25:37.0500014Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.0500356Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.0500725Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.0501116Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.0501477Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.0501806Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.0502174Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.0502544Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.0502881Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.0503231Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.0503587Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0503940Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0504299Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.0504671Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.0505024Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0505384Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0505744Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 264, in forward
2025-11-03T16:25:37.0506123Z     attn_output = self.o_proj(attn_output)
2025-11-03T16:25:37.0506252Z 
2025-11-03T16:25:37.0506935Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.0507275Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.0507584Z     return mod(**inputs)
2025-11-03T16:25:37.0507901Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.0508241Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.0508601Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.0508994Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.0509365Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.0509709Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.0510079Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.0510436Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.0510770Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.0511114Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.0511476Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0511857Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0512207Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-11-03T16:25:37.0512584Z     hidden_states = self.mlp(hidden_states)
2025-11-03T16:25:37.0512962Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-11-03T16:25:37.0513407Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-11-03T16:25:37.0513598Z 
2025-11-03T16:25:37.0513707Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.0514043Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.0514349Z     return mod(**inputs)
2025-11-03T16:25:37.0514665Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.0515007Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.0515371Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.0515765Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.0516123Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.0516464Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.0516838Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.0517203Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.0517540Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.0517888Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.0518256Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0518610Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0518970Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-11-03T16:25:37.0519351Z     hidden_states = self.mlp(hidden_states)
2025-11-03T16:25:37.0519732Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-11-03T16:25:37.0520199Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-11-03T16:25:37.0520385Z 
2025-11-03T16:25:37.0520485Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.0520828Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.0521136Z     return mod(**inputs)
2025-11-03T16:25:37.0521450Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.0521801Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.0522167Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.0522562Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.0522927Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.0523267Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.0523629Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.0524000Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.0524336Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.0524682Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.0525071Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0525418Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0525773Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-11-03T16:25:37.0526144Z     hidden_states = self.mlp(hidden_states)
2025-11-03T16:25:37.0526516Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-11-03T16:25:37.0526952Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-11-03T16:25:37.0527137Z 
2025-11-03T16:25:37.0527235Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.0527577Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.0527883Z     return mod(**inputs)
2025-11-03T16:25:37.0528199Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.0528542Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.0528903Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.0529289Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.0529643Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.0529981Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.0530337Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.0530703Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.0531035Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.0531377Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.0531740Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0532085Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0532442Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-11-03T16:25:37.0532817Z     hidden_states = self.mlp(hidden_states)
2025-11-03T16:25:37.0533187Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-11-03T16:25:37.0533659Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-11-03T16:25:37.0533843Z 
2025-11-03T16:25:37.0533943Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.0534290Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.0534602Z     return mod(**inputs)
2025-11-03T16:25:37.0534927Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.0535267Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.0535646Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.0536047Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.0536411Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.0536763Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.0537133Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.0537511Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.0537854Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.0538245Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.0538608Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0538971Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0539335Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.0539718Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.0540090Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0540442Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0540813Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 236, in forward
2025-11-03T16:25:37.0541259Z     query_states = self.q_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-11-03T16:25:37.0541451Z 
2025-11-03T16:25:37.0541565Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.0541919Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.0542227Z     return mod(**inputs)
2025-11-03T16:25:37.0542551Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.0542900Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.0543280Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.0543686Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.0544042Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.0544388Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.0544771Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.0545150Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.0545482Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.0545837Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.0546210Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0546603Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0546964Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.0547334Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.0547699Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0548060Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0548427Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-11-03T16:25:37.0548881Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-11-03T16:25:37.0549366Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 138, in apply_rotary_pos_emb
2025-11-03T16:25:37.0549788Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-11-03T16:25:37.0550192Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-11-03T16:25:37.0550581Z     return torch.cat((-x2, x1), dim=-1)
2025-11-03T16:25:37.0550710Z 
2025-11-03T16:25:37.0550789Z cudagraph partition due to non gpu ops
2025-11-03T16:25:37.0551026Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.0551378Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.0551734Z     return mod(**inputs)
2025-11-03T16:25:37.0552065Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.0552402Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.0552779Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.0553180Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.0553546Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.0553936Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.0554315Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.0554699Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.0555047Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.0555413Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.0555778Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0556149Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0556521Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.0556909Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.0557282Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0557641Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0558007Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-11-03T16:25:37.0558470Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-11-03T16:25:37.0558961Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 138, in apply_rotary_pos_emb
2025-11-03T16:25:37.0559389Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-11-03T16:25:37.0559782Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-11-03T16:25:37.0560169Z     return torch.cat((-x2, x1), dim=-1)
2025-11-03T16:25:37.0560372Z 
2025-11-03T16:25:37.0560474Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.0560825Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.0561129Z     return mod(**inputs)
2025-11-03T16:25:37.0561452Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.0561794Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.0562173Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.0562575Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.0562936Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.0563286Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.0563664Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.0564045Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.0564385Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.0564728Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.0565098Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0565512Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0565877Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.0566246Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.0566615Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0566981Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0567344Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-11-03T16:25:37.0567787Z     key_states = self.k_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-11-03T16:25:37.0567974Z 
2025-11-03T16:25:37.0568077Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.0568425Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.0568742Z     return mod(**inputs)
2025-11-03T16:25:37.0569064Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.0569411Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.0569781Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.0570183Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.0570553Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.0570905Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.0571275Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.0571659Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.0572005Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.0572357Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.0572728Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0573080Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0573446Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.0573859Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.0574229Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0574589Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0574956Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-11-03T16:25:37.0575419Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-11-03T16:25:37.0575922Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 139, in apply_rotary_pos_emb
2025-11-03T16:25:37.0576366Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-11-03T16:25:37.0576765Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-11-03T16:25:37.0577158Z     return torch.cat((-x2, x1), dim=-1)
2025-11-03T16:25:37.0577298Z 
2025-11-03T16:25:37.0577379Z cudagraph partition due to non gpu ops
2025-11-03T16:25:37.0577623Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.0577981Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.0578293Z     return mod(**inputs)
2025-11-03T16:25:37.0578624Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.0579020Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.0579399Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.0579800Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.0580164Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.0580510Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.0580895Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.0581274Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.0581608Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.0581963Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.0582331Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0582693Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0583052Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.0583419Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.0583782Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0584146Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0584512Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-11-03T16:25:37.0584960Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-11-03T16:25:37.0585452Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 139, in apply_rotary_pos_emb
2025-11-03T16:25:37.0585878Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-11-03T16:25:37.0586278Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-11-03T16:25:37.0586665Z     return torch.cat((-x2, x1), dim=-1)
2025-11-03T16:25:37.0586793Z 
2025-11-03T16:25:37.0586895Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.0587250Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.0587597Z     return mod(**inputs)
2025-11-03T16:25:37.0587919Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.0588266Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.0588641Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.0589052Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.0589426Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.0589775Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.0590155Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.0590524Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.0590868Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.0591224Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.0591590Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0591948Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0592313Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.0592723Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.0593092Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0593451Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0593807Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 238, in forward
2025-11-03T16:25:37.0594253Z     value_states = self.v_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-11-03T16:25:37.0594454Z 
2025-11-03T16:25:37.0594532Z cudagraph partition due to non gpu ops
2025-11-03T16:25:37.0594770Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.0595120Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.0595424Z     return mod(**inputs)
2025-11-03T16:25:37.0595750Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.0596095Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.0596469Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.0596866Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.0597225Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.0597576Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.0597951Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.0598325Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.0598658Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.0599009Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.0599379Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0599743Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0600099Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.0600471Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.0600831Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0601233Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0601602Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 252, in forward
2025-11-03T16:25:37.0602002Z     attn_output, attn_weights = attention_interface(
2025-11-03T16:25:37.0602437Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/integrations/sdpa_attention.py", line 83, in sdpa_attention_forward
2025-11-03T16:25:37.0602913Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-11-03T16:25:37.0603093Z 
2025-11-03T16:25:37.0603204Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.0603563Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.0603872Z     return mod(**inputs)
2025-11-03T16:25:37.0604199Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.0604557Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.0604959Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.0605360Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.0605727Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.0606110Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.0606488Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.0606864Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.0607198Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.0607551Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.0607926Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0608289Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0608656Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.0609025Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.0609395Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0609758Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0610124Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 264, in forward
2025-11-03T16:25:37.0610497Z     attn_output = self.o_proj(attn_output)
2025-11-03T16:25:37.0610637Z 
2025-11-03T16:25:37.0610738Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.0611090Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.0611406Z     return mod(**inputs)
2025-11-03T16:25:37.0611727Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.0612068Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.0612447Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.0612853Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.0613222Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.0613569Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.0613941Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.0614317Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.0614698Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.0615049Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.0615417Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0615785Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0616158Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-11-03T16:25:37.0616544Z     hidden_states = self.mlp(hidden_states)
2025-11-03T16:25:37.0616931Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-11-03T16:25:37.0617376Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-11-03T16:25:37.0617576Z 
2025-11-03T16:25:37.0617679Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.0618037Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.0618350Z     return mod(**inputs)
2025-11-03T16:25:37.0618673Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.0619013Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.0619425Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.0619825Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.0620188Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.0620527Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.0620910Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.0621294Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.0621635Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.0621987Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.0622348Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0622708Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0623076Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-11-03T16:25:37.0623460Z     hidden_states = self.mlp(hidden_states)
2025-11-03T16:25:37.0623841Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-11-03T16:25:37.0624272Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-11-03T16:25:37.0624474Z 
2025-11-03T16:25:37.0624576Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.0624927Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.0625234Z     return mod(**inputs)
2025-11-03T16:25:37.0625545Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.0625893Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.0626271Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.0626670Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.0627031Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.0627363Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.0627736Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.0628143Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.0628488Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.0628837Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.0629201Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0629566Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0629932Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-11-03T16:25:37.0630310Z     hidden_states = self.mlp(hidden_states)
2025-11-03T16:25:37.0630681Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-11-03T16:25:37.0631116Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-11-03T16:25:37.0631317Z 
2025-11-03T16:25:37.0631420Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.0631768Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.0632079Z     return mod(**inputs)
2025-11-03T16:25:37.0632390Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.0632737Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.0633199Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.0633597Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.0633959Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.0634297Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.0634671Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.0635050Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.0635389Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.0635736Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.0636112Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0636484Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0636841Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-11-03T16:25:37.0637220Z     hidden_states = self.mlp(hidden_states)
2025-11-03T16:25:37.0637587Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-11-03T16:25:37.0638023Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-11-03T16:25:37.0638216Z 
2025-11-03T16:25:37.0638315Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.0638657Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.0638961Z     return mod(**inputs)
2025-11-03T16:25:37.0639266Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.0639607Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.0639970Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.0640363Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.0640710Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.0641049Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.0641457Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.0641825Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.0642162Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.0642499Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.0642868Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0643224Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0643580Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.0643946Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.0644298Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0644656Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0645010Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 236, in forward
2025-11-03T16:25:37.0645448Z     query_states = self.q_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-11-03T16:25:37.0645633Z 
2025-11-03T16:25:37.0645743Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.0646112Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.0646423Z     return mod(**inputs)
2025-11-03T16:25:37.0646746Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.0647094Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.0647465Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.0647863Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.0648230Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.0648580Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.0648952Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.0649324Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.0649668Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.0650027Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.0650397Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0650756Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0651123Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.0651507Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.0651868Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0652231Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0652585Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-11-03T16:25:37.0653047Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-11-03T16:25:37.0653544Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 138, in apply_rotary_pos_emb
2025-11-03T16:25:37.0654000Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-11-03T16:25:37.0654395Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-11-03T16:25:37.0654832Z     return torch.cat((-x2, x1), dim=-1)
2025-11-03T16:25:37.0654965Z 
2025-11-03T16:25:37.0655042Z cudagraph partition due to non gpu ops
2025-11-03T16:25:37.0655285Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.0655629Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.0655927Z     return mod(**inputs)
2025-11-03T16:25:37.0656253Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.0656601Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.0656974Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.0657373Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.0657725Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.0658066Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.0658436Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.0658804Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.0659140Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.0659474Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.0659892Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0660249Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0660602Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.0660964Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.0661324Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0661685Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0662042Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-11-03T16:25:37.0662489Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-11-03T16:25:37.0662962Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 138, in apply_rotary_pos_emb
2025-11-03T16:25:37.0663377Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-11-03T16:25:37.0663767Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-11-03T16:25:37.0664141Z     return torch.cat((-x2, x1), dim=-1)
2025-11-03T16:25:37.0664263Z 
2025-11-03T16:25:37.0664367Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.0664704Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.0665010Z     return mod(**inputs)
2025-11-03T16:25:37.0665323Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.0665658Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.0666019Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.0666405Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.0666763Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.0667099Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.0667466Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.0667860Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.0668195Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.0668542Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.0668906Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0669264Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0669619Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.0669995Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.0670357Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0670714Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0671062Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-11-03T16:25:37.0693770Z     key_states = self.k_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-11-03T16:25:37.0693997Z 
2025-11-03T16:25:37.0694112Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.0694482Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.0694812Z     return mod(**inputs)
2025-11-03T16:25:37.0695286Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.0695644Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.0696036Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.0696454Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.0696832Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.0697184Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.0697568Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.0697955Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.0698303Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.0698664Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.0699038Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0699403Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0699774Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.0700153Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.0700519Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0700875Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0701240Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-11-03T16:25:37.0701692Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-11-03T16:25:37.0702189Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 139, in apply_rotary_pos_emb
2025-11-03T16:25:37.0702616Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-11-03T16:25:37.0703008Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-11-03T16:25:37.0703397Z     return torch.cat((-x2, x1), dim=-1)
2025-11-03T16:25:37.0703534Z 
2025-11-03T16:25:37.0703616Z cudagraph partition due to non gpu ops
2025-11-03T16:25:37.0703901Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.0704242Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.0704551Z     return mod(**inputs)
2025-11-03T16:25:37.0704871Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.0705216Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.0705588Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.0705975Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.0706341Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.0706681Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.0707053Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.0707419Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.0707756Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.0708102Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.0708463Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0708818Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0709200Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.0709563Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.0709914Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0710267Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0710616Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-11-03T16:25:37.0711055Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-11-03T16:25:37.0711532Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 139, in apply_rotary_pos_emb
2025-11-03T16:25:37.0711941Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-11-03T16:25:37.0712326Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-11-03T16:25:37.0712702Z     return torch.cat((-x2, x1), dim=-1)
2025-11-03T16:25:37.0712826Z 
2025-11-03T16:25:37.0712928Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.0713270Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.0713576Z     return mod(**inputs)
2025-11-03T16:25:37.0713903Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.0714234Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.0714604Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.0714993Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.0715350Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.0715685Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.0716043Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.0716403Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.0716740Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.0717113Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.0717463Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0717820Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0718173Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.0718533Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.0718888Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0719228Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0719580Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 238, in forward
2025-11-03T16:25:37.0720013Z     value_states = self.v_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-11-03T16:25:37.0720200Z 
2025-11-03T16:25:37.0720291Z cudagraph partition due to non gpu ops
2025-11-03T16:25:37.0720521Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.0720862Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.0721163Z     return mod(**inputs)
2025-11-03T16:25:37.0721476Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.0721814Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.0722203Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.0722597Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.0722952Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.0723290Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.0723658Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.0724017Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.0724352Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.0724697Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.0725057Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0725414Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0725760Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.0726123Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.0726476Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0726826Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0727174Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 252, in forward
2025-11-03T16:25:37.0727564Z     attn_output, attn_weights = attention_interface(
2025-11-03T16:25:37.0727986Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/integrations/sdpa_attention.py", line 83, in sdpa_attention_forward
2025-11-03T16:25:37.0728436Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-11-03T16:25:37.0728613Z 
2025-11-03T16:25:37.0728722Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.0729052Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.0729352Z     return mod(**inputs)
2025-11-03T16:25:37.0729665Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.0730003Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.0730669Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.0731049Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.0731410Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.0731748Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.0732124Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.0732487Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.0732828Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.0733174Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.0733535Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0733893Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0734243Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.0734611Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.0734970Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0735327Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0735709Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 264, in forward
2025-11-03T16:25:37.0736080Z     attn_output = self.o_proj(attn_output)
2025-11-03T16:25:37.0736212Z 
2025-11-03T16:25:37.0736318Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.0736654Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.0736962Z     return mod(**inputs)
2025-11-03T16:25:37.0737281Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.0737619Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.0737987Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.0738368Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.0738732Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.0739071Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.0739434Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.0739795Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.0740130Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.0740481Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.0740844Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0741201Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0741547Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-11-03T16:25:37.0741925Z     hidden_states = self.mlp(hidden_states)
2025-11-03T16:25:37.0742300Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-11-03T16:25:37.0742732Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-11-03T16:25:37.0742919Z 
2025-11-03T16:25:37.0743029Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.0743366Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.0743706Z     return mod(**inputs)
2025-11-03T16:25:37.0744018Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.0744357Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.0744715Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.0745112Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.0745475Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.0745814Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.0746182Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.0746545Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.0746883Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.0747234Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.0747595Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0747951Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0748302Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-11-03T16:25:37.0748724Z     hidden_states = self.mlp(hidden_states)
2025-11-03T16:25:37.0749098Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-11-03T16:25:37.0749540Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-11-03T16:25:37.0749731Z 
2025-11-03T16:25:37.0749835Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.0750182Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.0750495Z     return mod(**inputs)
2025-11-03T16:25:37.0750815Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.0751155Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.0751520Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.0751916Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.0752277Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.0752621Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.0752995Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.0753365Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.0753755Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.0754098Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.0754459Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0754808Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0755169Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-11-03T16:25:37.0755544Z     hidden_states = self.mlp(hidden_states)
2025-11-03T16:25:37.0755925Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-11-03T16:25:37.0756356Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-11-03T16:25:37.0756545Z 
2025-11-03T16:25:37.0756647Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.0757060Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.0757362Z     return mod(**inputs)
2025-11-03T16:25:37.0757682Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.0758022Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.0758380Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.0758777Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.0759136Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.0759482Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.0759843Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.0760212Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.0760544Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.0760888Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.0761245Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0761592Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0761985Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-11-03T16:25:37.0762362Z     hidden_states = self.mlp(hidden_states)
2025-11-03T16:25:37.0762736Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-11-03T16:25:37.0763168Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-11-03T16:25:37.0763359Z 
2025-11-03T16:25:37.0763461Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.0763800Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.0764105Z     return mod(**inputs)
2025-11-03T16:25:37.0764417Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.0764748Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.0765121Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.0765513Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.0765869Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.0766212Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.0766573Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.0766943Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.0767277Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.0767623Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.0767985Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0768335Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0768691Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.0769064Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.0769422Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0769773Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0770161Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 236, in forward
2025-11-03T16:25:37.0770594Z     query_states = self.q_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-11-03T16:25:37.0770779Z 
2025-11-03T16:25:37.0770890Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.0771232Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.0771525Z     return mod(**inputs)
2025-11-03T16:25:37.0771841Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.0772176Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.0772541Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.0772931Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.0773276Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.0773622Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.0773989Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.0774352Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.0774674Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.0775045Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.0775403Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0775759Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0776111Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.0776466Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.0776823Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0777176Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0777409Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-11-03T16:25:37.0777567Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-11-03T16:25:37.0777845Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 138, in apply_rotary_pos_emb
2025-11-03T16:25:37.0777942Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-11-03T16:25:37.0778196Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-11-03T16:25:37.0778269Z     return torch.cat((-x2, x1), dim=-1)
2025-11-03T16:25:37.0778284Z 
2025-11-03T16:25:37.0778361Z cudagraph partition due to non gpu ops
2025-11-03T16:25:37.0778461Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.0778651Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.0778714Z     return mod(**inputs)
2025-11-03T16:25:37.0778928Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.0779001Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.0779238Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.0779342Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.0779544Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.0779624Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.0779907Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.0779977Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.0780192Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.0780267Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.0780506Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0780571Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0780808Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.0780887Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.0781117Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0781193Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0781431Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-11-03T16:25:37.0781590Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-11-03T16:25:37.0781860Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 138, in apply_rotary_pos_emb
2025-11-03T16:25:37.0781972Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-11-03T16:25:37.0782234Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-11-03T16:25:37.0782304Z     return torch.cat((-x2, x1), dim=-1)
2025-11-03T16:25:37.0782308Z 
2025-11-03T16:25:37.0782414Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.0782598Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.0782663Z     return mod(**inputs)
2025-11-03T16:25:37.0782879Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.0782949Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.0783198Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.0783291Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.0783507Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.0783581Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.0783823Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.0783899Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.0784110Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.0784198Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.0784427Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0784493Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0784745Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.0784817Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.0785066Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0785132Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0785378Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-11-03T16:25:37.0785522Z     key_states = self.k_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-11-03T16:25:37.0785566Z 
2025-11-03T16:25:37.0785669Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.0785864Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.0785927Z     return mod(**inputs)
2025-11-03T16:25:37.0786151Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.0786224Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.0786464Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.0786566Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.0786773Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.0786852Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.0787089Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.0787160Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.0787377Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.0787453Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.0787717Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0787784Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0788029Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.0788098Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.0788325Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0788405Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0788639Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-11-03T16:25:37.0788796Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-11-03T16:25:37.0789070Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 139, in apply_rotary_pos_emb
2025-11-03T16:25:37.0789153Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-11-03T16:25:37.0789408Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-11-03T16:25:37.0789479Z     return torch.cat((-x2, x1), dim=-1)
2025-11-03T16:25:37.0789483Z 
2025-11-03T16:25:37.0789566Z cudagraph partition due to non gpu ops
2025-11-03T16:25:37.0789664Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.0789858Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.0789924Z     return mod(**inputs)
2025-11-03T16:25:37.0790127Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.0790206Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.0790440Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.0790543Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.0790746Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.0790816Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.0791058Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.0791126Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.0791370Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.0791446Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.0791676Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0791748Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0791987Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.0792065Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.0792293Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0792363Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0792600Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-11-03T16:25:37.0792752Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-11-03T16:25:37.0793030Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 139, in apply_rotary_pos_emb
2025-11-03T16:25:37.0793112Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-11-03T16:25:37.0793367Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-11-03T16:25:37.0793468Z     return torch.cat((-x2, x1), dim=-1)
2025-11-03T16:25:37.0793471Z 
2025-11-03T16:25:37.0793572Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.0793768Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.0793830Z     return mod(**inputs)
2025-11-03T16:25:37.0794043Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.0794118Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.0794358Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.0794457Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.0794662Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.0794743Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.0794987Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.0795065Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.0795271Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.0795348Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.0795583Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0795650Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0795894Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.0795962Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.0796190Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0796264Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0796498Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 238, in forward
2025-11-03T16:25:37.0796642Z     value_states = self.v_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-11-03T16:25:37.0796645Z 
2025-11-03T16:25:37.0796724Z cudagraph partition due to non gpu ops
2025-11-03T16:25:37.0796831Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.0797050Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.0797120Z     return mod(**inputs)
2025-11-03T16:25:37.0797323Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.0797395Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.0797639Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.0797728Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.0797935Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.0798006Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.0798245Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.0798317Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.0798522Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.0798604Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.0798828Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0798898Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0799168Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.0799238Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.0799469Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0799532Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0799773Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 252, in forward
2025-11-03T16:25:37.0799869Z     attn_output, attn_weights = attention_interface(
2025-11-03T16:25:37.0800145Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/integrations/sdpa_attention.py", line 83, in sdpa_attention_forward
2025-11-03T16:25:37.0800269Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-11-03T16:25:37.0800273Z 
2025-11-03T16:25:37.0800366Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.0800558Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.0800617Z     return mod(**inputs)
2025-11-03T16:25:37.0800826Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.0800897Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.0801131Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.0801230Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.0801436Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.0801513Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.0801744Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.0801813Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.0802025Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.0802097Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.0802328Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0802390Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0802662Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.0802727Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.0802953Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0803022Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0803256Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 264, in forward
2025-11-03T16:25:37.0803340Z     attn_output = self.o_proj(attn_output)
2025-11-03T16:25:37.0803343Z 
2025-11-03T16:25:37.0803437Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.0803617Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.0803683Z     return mod(**inputs)
2025-11-03T16:25:37.0803884Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.0803962Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.0804198Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.0804292Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.0804495Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.0804598Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.0804837Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.0804903Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.0805111Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.0805186Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.0805415Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0805482Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0805715Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-11-03T16:25:37.0805797Z     hidden_states = residual + hidden_states
2025-11-03T16:25:37.0805799Z 
2025-11-03T16:25:37.0805898Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.0806076Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.0806141Z     return mod(**inputs)
2025-11-03T16:25:37.0806344Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.0806416Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.0806650Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.0806748Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.0806953Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.0807022Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.0807260Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.0807328Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.0807537Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.0807608Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.0807836Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0807906Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0808177Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-11-03T16:25:37.0808261Z     hidden_states = self.mlp(hidden_states)
2025-11-03T16:25:37.0808499Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-11-03T16:25:37.0808639Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-11-03T16:25:37.0808650Z 
2025-11-03T16:25:37.0808747Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.0808930Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.0808997Z     return mod(**inputs)
2025-11-03T16:25:37.0809201Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.0809281Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.0809517Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.0809608Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.0809821Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.0809893Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.0810172Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.0810245Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.0810452Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.0810534Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.0810761Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0810837Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0811070Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-11-03T16:25:37.0811157Z     hidden_states = self.mlp(hidden_states)
2025-11-03T16:25:37.0811395Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-11-03T16:25:37.0811537Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-11-03T16:25:37.0811540Z 
2025-11-03T16:25:37.0811645Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.0811829Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.0811900Z     return mod(**inputs)
2025-11-03T16:25:37.0812105Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.0812176Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.0812421Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.0812511Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.0812721Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.0812792Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.0813039Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.0813107Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.0813317Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.0813401Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.0813627Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0813735Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0813971Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-11-03T16:25:37.0814046Z     hidden_states = self.mlp(hidden_states)
2025-11-03T16:25:37.0814292Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-11-03T16:25:37.0814428Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-11-03T16:25:37.0814431Z 
2025-11-03T16:25:37.0814535Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.0814720Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.0814783Z     return mod(**inputs)
2025-11-03T16:25:37.0815002Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.0815075Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.0815318Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.0815410Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.0815622Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.0815731Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.0815971Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.0816049Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.0816259Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.0816340Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.0816568Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0816636Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0816880Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-11-03T16:25:37.0816955Z     hidden_states = self.mlp(hidden_states)
2025-11-03T16:25:37.0817200Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-11-03T16:25:37.0817333Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-11-03T16:25:37.0817336Z 
2025-11-03T16:25:37.0817440Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.0817624Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.0817686Z     return mod(**inputs)
2025-11-03T16:25:37.0817902Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.0817973Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.0818220Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.0818313Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.0818516Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.0818597Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.0818832Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.0818911Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.0819122Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.0819195Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.0819457Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0819522Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0819768Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.0819837Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.0820069Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0820134Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0820364Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 236, in forward
2025-11-03T16:25:37.0820512Z     query_states = self.q_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-11-03T16:25:37.0820515Z 
2025-11-03T16:25:37.0820610Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.0820804Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.0820866Z     return mod(**inputs)
2025-11-03T16:25:37.0821068Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.0821145Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.0821407Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.0821511Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.0821716Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.0821797Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.0822029Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.0822100Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.0822313Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.0822387Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.0822622Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0822687Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0822921Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.0823001Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.0823224Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0823298Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0823533Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-11-03T16:25:37.0823686Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-11-03T16:25:37.0823969Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 138, in apply_rotary_pos_emb
2025-11-03T16:25:37.0824053Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-11-03T16:25:37.0824313Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-11-03T16:25:37.0824384Z     return torch.cat((-x2, x1), dim=-1)
2025-11-03T16:25:37.0824388Z 
2025-11-03T16:25:37.0824470Z cudagraph partition due to non gpu ops
2025-11-03T16:25:37.0824570Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.0824753Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.0824824Z     return mod(**inputs)
2025-11-03T16:25:37.0825078Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.0825157Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.0825389Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.0825482Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.0825697Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.0825770Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.0826015Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.0826084Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.0826299Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.0826376Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.0826603Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0826677Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0826912Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.0826989Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.0827250Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0827316Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0827560Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-11-03T16:25:37.0827710Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-11-03T16:25:37.0828018Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 138, in apply_rotary_pos_emb
2025-11-03T16:25:37.0828103Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-11-03T16:25:37.0828363Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-11-03T16:25:37.0828443Z     return torch.cat((-x2, x1), dim=-1)
2025-11-03T16:25:37.0828446Z 
2025-11-03T16:25:37.0828547Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.0828745Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.0828810Z     return mod(**inputs)
2025-11-03T16:25:37.0829032Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.0829105Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.0829355Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.0829463Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.0829688Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.0829773Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.0830037Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.0830107Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.0830341Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.0830417Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.0830659Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0830758Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0831027Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.0831098Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.0831344Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0831419Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0831686Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-11-03T16:25:37.0831829Z     key_states = self.k_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-11-03T16:25:37.0831832Z 
2025-11-03T16:25:37.0831930Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.0832113Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.0832182Z     return mod(**inputs)
2025-11-03T16:25:37.0832395Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.0832472Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.0832717Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.0832808Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.0833052Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.0833124Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.0833366Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.0833436Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.0833648Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.0833727Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.0833952Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0834024Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0834261Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.0834341Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.0834567Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0834632Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0834876Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-11-03T16:25:37.0835025Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-11-03T16:25:37.0835310Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 139, in apply_rotary_pos_emb
2025-11-03T16:25:37.0835393Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-11-03T16:25:37.0835650Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-11-03T16:25:37.0835721Z     return torch.cat((-x2, x1), dim=-1)
2025-11-03T16:25:37.0835725Z 
2025-11-03T16:25:37.0835799Z cudagraph partition due to non gpu ops
2025-11-03T16:25:37.0835907Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.0836090Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.0836158Z     return mod(**inputs)
2025-11-03T16:25:37.0836363Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.0836433Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.0836707Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.0836800Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.0837012Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.0837083Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.0837321Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.0837399Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.0837607Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.0837691Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.0837918Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0837995Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0838232Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.0838301Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.0838535Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0838598Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0838869Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-11-03T16:25:37.0839019Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-11-03T16:25:37.0839288Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 139, in apply_rotary_pos_emb
2025-11-03T16:25:37.0839376Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-11-03T16:25:37.0839625Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-11-03T16:25:37.0839703Z     return torch.cat((-x2, x1), dim=-1)
2025-11-03T16:25:37.0839706Z 
2025-11-03T16:25:37.0839804Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.0839995Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.0840059Z     return mod(**inputs)
2025-11-03T16:25:37.0840263Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.0840343Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.0840576Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.0840674Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.0840881Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.0840953Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.0841195Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.0841264Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.0841480Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.0841554Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.0841780Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0841854Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0842089Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.0842204Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.0842431Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0842504Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0842743Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 238, in forward
2025-11-03T16:25:37.0842880Z     value_states = self.v_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-11-03T16:25:37.0842886Z 
2025-11-03T16:25:37.0842968Z cudagraph partition due to non gpu ops
2025-11-03T16:25:37.0843067Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.0843257Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.0843319Z     return mod(**inputs)
2025-11-03T16:25:37.0843522Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.0843600Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.0843837Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.0843937Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.0844144Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.0844221Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.0844486Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.0844557Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.0844775Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.0844850Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.0845084Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0845152Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0845388Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.0845463Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.0845686Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0845760Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0845995Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 252, in forward
2025-11-03T16:25:37.0846090Z     attn_output, attn_weights = attention_interface(
2025-11-03T16:25:37.0846366Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/integrations/sdpa_attention.py", line 83, in sdpa_attention_forward
2025-11-03T16:25:37.0846499Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-11-03T16:25:37.0846502Z 
2025-11-03T16:25:37.0846610Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.0846795Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.0846863Z     return mod(**inputs)
2025-11-03T16:25:37.0847069Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.0847142Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.0847383Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.0847474Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.0847686Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.0847759Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.0848024Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.0848100Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.0848307Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.0848391Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.0848621Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0848694Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0848931Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.0848999Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.0849233Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0849299Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0849541Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 264, in forward
2025-11-03T16:25:37.0849618Z     attn_output = self.o_proj(attn_output)
2025-11-03T16:25:37.0849621Z 
2025-11-03T16:25:37.0849720Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.0849956Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.0850018Z     return mod(**inputs)
2025-11-03T16:25:37.0850238Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.0850309Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.0850545Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.0850644Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.0850853Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.0850931Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.0851169Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.0851246Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.0851459Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.0851535Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.0851774Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0851837Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0852084Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-11-03T16:25:37.0852163Z     hidden_states = self.mlp(hidden_states)
2025-11-03T16:25:37.0852396Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-11-03T16:25:37.0852544Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-11-03T16:25:37.0852547Z 
2025-11-03T16:25:37.0852643Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.0852834Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.0852895Z     return mod(**inputs)
2025-11-03T16:25:37.0853111Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.0853181Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.0853417Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.0853548Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.0853803Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.0853882Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.0854115Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.0854185Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.0854403Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.0854477Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.0854719Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0854783Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0855025Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-11-03T16:25:37.0855113Z     hidden_states = self.mlp(hidden_states)
2025-11-03T16:25:37.0855354Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-11-03T16:25:37.0855503Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-11-03T16:25:37.0855507Z 
2025-11-03T16:25:37.0855658Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.0855846Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.0855908Z     return mod(**inputs)
2025-11-03T16:25:37.0856117Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.0856192Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.0856427Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.0856529Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.0856733Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.0856802Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.0857042Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.0857112Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.0857325Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.0857400Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.0857632Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0857696Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0857939Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-11-03T16:25:37.0858025Z     hidden_states = self.mlp(hidden_states)
2025-11-03T16:25:37.0858260Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-11-03T16:25:37.0858402Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-11-03T16:25:37.0858405Z 
2025-11-03T16:25:37.0858503Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.0858685Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.0858753Z     return mod(**inputs)
2025-11-03T16:25:37.0858954Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.0859032Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.0859319Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.0859413Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.0859618Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.0859687Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.0859933Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.0860002Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.0860217Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.0860291Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.0860515Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0860590Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0860825Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-11-03T16:25:37.0860907Z     hidden_states = self.mlp(hidden_states)
2025-11-03T16:25:37.0861141Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-11-03T16:25:37.0861303Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-11-03T16:25:37.0861315Z 
2025-11-03T16:25:37.0861414Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.0861595Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.0861665Z     return mod(**inputs)
2025-11-03T16:25:37.0861870Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.0861951Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.0862184Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.0862277Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.0862489Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.0862560Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.0862806Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.0862875Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.0863078Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.0863161Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.0863387Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0863461Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0863696Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.0863765Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.0863998Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0864063Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0864304Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 236, in forward
2025-11-03T16:25:37.0864442Z     query_states = self.q_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-11-03T16:25:37.0864446Z 
2025-11-03T16:25:37.0864548Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.0864729Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.0864820Z     return mod(**inputs)
2025-11-03T16:25:37.0865032Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.0865104Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.0865346Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.0865438Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.0865645Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.0865725Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.0865961Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.0866039Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.0866243Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.0866328Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.0866554Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0866618Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0866888Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.0866956Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.0867188Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0867252Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0867494Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-11-03T16:25:37.0867653Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-11-03T16:25:37.0867930Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 138, in apply_rotary_pos_emb
2025-11-03T16:25:37.0868019Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-11-03T16:25:37.0868263Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-11-03T16:25:37.0868344Z     return torch.cat((-x2, x1), dim=-1)
2025-11-03T16:25:37.0868347Z 
2025-11-03T16:25:37.0868421Z cudagraph partition due to non gpu ops
2025-11-03T16:25:37.0868518Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.0868709Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.0868770Z     return mod(**inputs)
2025-11-03T16:25:37.0868983Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.0869056Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.0869292Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.0869392Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.0869593Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.0869674Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.0869905Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.0869973Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.0870188Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.0870261Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.0870535Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0870600Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0870840Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.0870909Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.0871135Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0871207Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0871441Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-11-03T16:25:37.0871595Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-11-03T16:25:37.0871865Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 138, in apply_rotary_pos_emb
2025-11-03T16:25:37.0871948Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-11-03T16:25:37.0872203Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-11-03T16:25:37.0872274Z     return torch.cat((-x2, x1), dim=-1)
2025-11-03T16:25:37.0872277Z 
2025-11-03T16:25:37.0872379Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.0872590Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.0872656Z     return mod(**inputs)
2025-11-03T16:25:37.0872862Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.0872932Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.0873174Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.0873269Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.0873480Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.0873551Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.0873784Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.0873859Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.0874067Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.0874147Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.0874373Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0874436Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0874677Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.0874746Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.0874979Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0875043Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0875287Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-11-03T16:25:37.0875423Z     key_states = self.k_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-11-03T16:25:37.0875426Z 
2025-11-03T16:25:37.0875525Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.0875716Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.0875780Z     return mod(**inputs)
2025-11-03T16:25:37.0875990Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.0876089Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.0876325Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.0876425Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.0876631Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.0876710Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.0876941Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.0877016Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.0877221Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.0877294Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.0877529Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0877594Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0877839Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.0877905Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.0878153Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0878227Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0878462Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-11-03T16:25:37.0878617Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-11-03T16:25:37.0878891Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 139, in apply_rotary_pos_emb
2025-11-03T16:25:37.0878975Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-11-03T16:25:37.0879231Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-11-03T16:25:37.0879300Z     return torch.cat((-x2, x1), dim=-1)
2025-11-03T16:25:37.0879303Z 
2025-11-03T16:25:37.0879383Z cudagraph partition due to non gpu ops
2025-11-03T16:25:37.0879481Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.0879671Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.0879730Z     return mod(**inputs)
2025-11-03T16:25:37.0879933Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.0880012Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.0880248Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.0880349Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.0880550Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.0880621Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.0880861Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.0880931Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.0881142Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.0881216Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.0881445Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0881508Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0881773Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.0881846Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.0882073Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0882143Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0882384Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-11-03T16:25:37.0882535Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-11-03T16:25:37.0882821Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 139, in apply_rotary_pos_emb
2025-11-03T16:25:37.0882900Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-11-03T16:25:37.0883153Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-11-03T16:25:37.0883223Z     return torch.cat((-x2, x1), dim=-1)
2025-11-03T16:25:37.0883226Z 
2025-11-03T16:25:37.0883332Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.0883515Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.0883576Z     return mod(**inputs)
2025-11-03T16:25:37.0883816Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.0883888Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.0884128Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.0884218Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.0884420Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.0884501Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.0884734Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.0884808Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.0885015Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.0885089Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.0885327Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0885391Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0885628Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.0885698Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.0885934Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0886002Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0886233Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 238, in forward
2025-11-03T16:25:37.0886379Z     value_states = self.v_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-11-03T16:25:37.0886382Z 
2025-11-03T16:25:37.0886455Z cudagraph partition due to non gpu ops
2025-11-03T16:25:37.0886562Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.0886741Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.0886800Z     return mod(**inputs)
2025-11-03T16:25:37.0887004Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.0887072Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.0887352Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.0887443Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.0887643Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.0887720Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.0887957Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.0888031Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.0888237Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.0888317Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.0888540Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0888605Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0888847Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.0888914Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.0889144Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0889208Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0889469Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 252, in forward
2025-11-03T16:25:37.0889576Z     attn_output, attn_weights = attention_interface(
2025-11-03T16:25:37.0889846Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/integrations/sdpa_attention.py", line 83, in sdpa_attention_forward
2025-11-03T16:25:37.0889975Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-11-03T16:25:37.0889981Z 
2025-11-03T16:25:37.0890076Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.0890267Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.0890328Z     return mod(**inputs)
2025-11-03T16:25:37.0890533Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.0890614Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.0890851Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.0890950Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.0891152Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.0891223Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.0891464Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.0891537Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.0891751Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.0891827Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.0892051Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0892129Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0892365Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.0892440Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.0892664Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0892736Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0893005Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 264, in forward
2025-11-03T16:25:37.0893082Z     attn_output = self.o_proj(attn_output)
2025-11-03T16:25:37.0893085Z 
2025-11-03T16:25:37.0893189Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.0893368Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.0893438Z     return mod(**inputs)
2025-11-03T16:25:37.0893642Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.0893711Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.0893953Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.0894044Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.0894259Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.0894333Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.0894567Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.0894644Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.0894849Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.0894960Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.0895192Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0895263Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0895508Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-11-03T16:25:37.0895585Z     hidden_states = residual + hidden_states
2025-11-03T16:25:37.0895591Z 
2025-11-03T16:25:37.0895695Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.0895877Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.0895945Z     return mod(**inputs)
2025-11-03T16:25:37.0896155Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.0896227Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.0896474Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.0896565Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.0896773Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.0896843Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.0897086Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.0897158Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.0897363Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.0897442Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.0897664Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0897737Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0897971Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-11-03T16:25:37.0898045Z     hidden_states = self.mlp(hidden_states)
2025-11-03T16:25:37.0898286Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-11-03T16:25:37.0898422Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-11-03T16:25:37.0898455Z 
2025-11-03T16:25:37.0898561Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.0898741Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.0898809Z     return mod(**inputs)
2025-11-03T16:25:37.0899011Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.0899083Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.0899325Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.0899416Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.0899622Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.0899691Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.0899923Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.0899997Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.0900199Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.0900284Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.0900539Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0900605Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0900845Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-11-03T16:25:37.0900921Z     hidden_states = self.mlp(hidden_states)
2025-11-03T16:25:37.0901159Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-11-03T16:25:37.0901294Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-11-03T16:25:37.0901297Z 
2025-11-03T16:25:37.0901399Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.0901578Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.0901641Z     return mod(**inputs)
2025-11-03T16:25:37.0901850Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.0901921Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.0902163Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.0902256Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.0902458Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.0902539Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.0902772Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.0902847Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.0903051Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.0903124Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.0903358Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0903425Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0903664Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-11-03T16:25:37.0903736Z     hidden_states = self.mlp(hidden_states)
2025-11-03T16:25:37.0903976Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-11-03T16:25:37.0904137Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-11-03T16:25:37.0904141Z 
2025-11-03T16:25:37.0904237Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.0904427Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.0904489Z     return mod(**inputs)
2025-11-03T16:25:37.0904702Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.0904774Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.0905004Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.0905105Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.0905307Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.0905388Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.0905624Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.0905701Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.0905910Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.0906017Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.0906255Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0906319Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0906559Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-11-03T16:25:37.0906632Z     hidden_states = self.mlp(hidden_states)
2025-11-03T16:25:37.0906866Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-11-03T16:25:37.0907007Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-11-03T16:25:37.0907010Z 
2025-11-03T16:25:37.0907108Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.0907296Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.0907357Z     return mod(**inputs)
2025-11-03T16:25:37.0907567Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.0907637Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.0907873Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.0907971Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.0908177Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.0908258Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.0908492Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.0908559Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.0908781Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.0908855Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.0909088Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0909152Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0909385Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.0909465Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.0909724Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0909797Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0910031Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 236, in forward
2025-11-03T16:25:37.0910174Z     query_states = self.q_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-11-03T16:25:37.0910178Z 
2025-11-03T16:25:37.0910278Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.0910461Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.0910529Z     return mod(**inputs)
2025-11-03T16:25:37.0910734Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.0910810Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.0911047Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.0911138Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.0911351Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.0911422Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.0911709Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.0911781Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.0911998Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.0912072Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.0912310Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0912389Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0912624Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.0912699Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.0912924Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0912988Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0913233Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-11-03T16:25:37.0913383Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-11-03T16:25:37.0913663Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 138, in apply_rotary_pos_emb
2025-11-03T16:25:37.0913742Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-11-03T16:25:37.0913998Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-11-03T16:25:37.0914066Z     return torch.cat((-x2, x1), dim=-1)
2025-11-03T16:25:37.0914069Z 
2025-11-03T16:25:37.0914141Z cudagraph partition due to non gpu ops
2025-11-03T16:25:37.0914245Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.0914428Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.0914495Z     return mod(**inputs)
2025-11-03T16:25:37.0914699Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.0914769Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.0915012Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.0915102Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.0915357Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.0915427Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.0915670Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.0915747Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.0915957Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.0916040Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.0916270Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0916342Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0916581Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.0916652Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.0916889Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0916952Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0917199Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-11-03T16:25:37.0917371Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-11-03T16:25:37.0917646Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 138, in apply_rotary_pos_emb
2025-11-03T16:25:37.0917737Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-11-03T16:25:37.0917985Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-11-03T16:25:37.0918067Z     return torch.cat((-x2, x1), dim=-1)
2025-11-03T16:25:37.0918071Z 
2025-11-03T16:25:37.0918167Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.0918360Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.0918422Z     return mod(**inputs)
2025-11-03T16:25:37.0918625Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.0918703Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.0918948Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.0919045Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.0919251Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.0919321Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.0919575Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.0919645Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.0919860Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.0919934Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.0920163Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0920237Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0920474Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.0920551Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.0920775Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0920875Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0921115Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-11-03T16:25:37.0921250Z     key_states = self.k_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-11-03T16:25:37.0921254Z 
2025-11-03T16:25:37.0921359Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.0921545Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.0921614Z     return mod(**inputs)
2025-11-03T16:25:37.0921819Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.0921892Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.0922139Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.0922230Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.0922451Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.0922522Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.0922766Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.0922843Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.0923085Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.0923170Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.0923396Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0923470Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0923710Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.0923780Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.0924014Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0924076Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0924319Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-11-03T16:25:37.0924467Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-11-03T16:25:37.0924744Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 139, in apply_rotary_pos_emb
2025-11-03T16:25:37.0924834Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-11-03T16:25:37.0925092Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-11-03T16:25:37.0925170Z     return torch.cat((-x2, x1), dim=-1)
2025-11-03T16:25:37.0925176Z 
2025-11-03T16:25:37.0925248Z cudagraph partition due to non gpu ops
2025-11-03T16:25:37.0925351Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.0925536Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.0925598Z     return mod(**inputs)
2025-11-03T16:25:37.0925811Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.0925885Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.0926131Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.0926220Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.0926428Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.0926504Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.0926771Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.0926846Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.0927053Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.0927127Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.0927362Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0927428Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0927669Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.0927736Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.0927969Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0928033Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0928267Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-11-03T16:25:37.0928420Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-11-03T16:25:37.0928718Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 139, in apply_rotary_pos_emb
2025-11-03T16:25:37.0928807Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-11-03T16:25:37.0929055Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-11-03T16:25:37.0929123Z     return torch.cat((-x2, x1), dim=-1)
2025-11-03T16:25:37.0929132Z 
2025-11-03T16:25:37.0929229Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.0929411Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.0929483Z     return mod(**inputs)
2025-11-03T16:25:37.0929685Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.0929759Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.0929994Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.0930086Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.0930296Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.0930366Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.0930611Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.0930680Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.0930892Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.0930972Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.0931197Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0931267Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0931502Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.0931571Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.0931803Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0931866Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0932107Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 238, in forward
2025-11-03T16:25:37.0932273Z     value_states = self.v_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-11-03T16:25:37.0932277Z 
2025-11-03T16:25:37.0932357Z cudagraph partition due to non gpu ops
2025-11-03T16:25:37.0932452Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.0932632Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.0932703Z     return mod(**inputs)
2025-11-03T16:25:37.0932907Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.0932985Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.0933222Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.0933314Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.0933526Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.0933600Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.0933843Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.0933911Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.0934125Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.0934199Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.0934459Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0934532Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0934767Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.0934843Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.0935067Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0935134Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0935378Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 252, in forward
2025-11-03T16:25:37.0935472Z     attn_output, attn_weights = attention_interface(
2025-11-03T16:25:37.0935758Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/integrations/sdpa_attention.py", line 83, in sdpa_attention_forward
2025-11-03T16:25:37.0935884Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-11-03T16:25:37.0935887Z 
2025-11-03T16:25:37.0935996Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.0936181Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.0936242Z     return mod(**inputs)
2025-11-03T16:25:37.0936456Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.0936528Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.0936772Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.0936863Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.0937064Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.0937145Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.0937379Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.0937455Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.0937661Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.0937734Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.0937996Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0938063Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0938318Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.0938388Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.0938623Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0938687Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0938919Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 264, in forward
2025-11-03T16:25:37.0939006Z     attn_output = self.o_proj(attn_output)
2025-11-03T16:25:37.0939009Z 
2025-11-03T16:25:37.0939107Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.0939297Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.0939358Z     return mod(**inputs)
2025-11-03T16:25:37.0939559Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.0939638Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.0939895Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.0939995Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.0940200Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.0940269Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.0940512Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.0940582Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.0940792Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.0940865Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.0941096Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0941161Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0941398Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-11-03T16:25:37.0941482Z     hidden_states = self.mlp(hidden_states)
2025-11-03T16:25:37.0941718Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-11-03T16:25:37.0941861Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-11-03T16:25:37.0941864Z 
2025-11-03T16:25:37.0941965Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.0942148Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.0942216Z     return mod(**inputs)
2025-11-03T16:25:37.0942420Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.0942496Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.0942738Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.0942835Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.0943039Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.0943109Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.0943354Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.0943452Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.0943667Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.0943738Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.0943962Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0944034Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0944270Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-11-03T16:25:37.0944352Z     hidden_states = self.mlp(hidden_states)
2025-11-03T16:25:37.0944581Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-11-03T16:25:37.0944715Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-11-03T16:25:37.0944728Z 
2025-11-03T16:25:37.0944824Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.0945004Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.0945076Z     return mod(**inputs)
2025-11-03T16:25:37.0945277Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.0945353Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.0945618Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.0945710Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.0945920Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.0945990Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.0946229Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.0946299Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.0946503Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.0946582Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.0946807Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0946884Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0947118Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-11-03T16:25:37.0947200Z     hidden_states = self.mlp(hidden_states)
2025-11-03T16:25:37.0947434Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-11-03T16:25:37.0947565Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-11-03T16:25:37.0947571Z 
2025-11-03T16:25:37.0947677Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.0947857Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.0947928Z     return mod(**inputs)
2025-11-03T16:25:37.0948136Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.0948209Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.0948453Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.0948543Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.0948751Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.0948819Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.0949091Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.0949165Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.0949374Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.0949456Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.0949691Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0949763Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0950000Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-11-03T16:25:37.0950073Z     hidden_states = self.mlp(hidden_states)
2025-11-03T16:25:37.0950318Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-11-03T16:25:37.0950452Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-11-03T16:25:37.0950455Z 
2025-11-03T16:25:37.0950560Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.0950743Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.0950803Z     return mod(**inputs)
2025-11-03T16:25:37.0951042Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.0951113Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.0951360Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.0951454Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.0951670Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.0951744Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.0951984Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.0952059Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.0952268Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.0952347Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.0952576Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0952641Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0952883Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.0952951Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.0953189Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0953254Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0953493Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 236, in forward
2025-11-03T16:25:37.0953673Z     query_states = self.q_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-11-03T16:25:37.0953677Z 
2025-11-03T16:25:37.0953775Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.0953973Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.0954034Z     return mod(**inputs)
2025-11-03T16:25:37.0954242Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.0954312Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.0954552Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.0954710Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.0954920Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.0955000Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.0955240Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.0955312Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.0955525Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.0955599Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.0955830Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0955894Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0956139Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.0956210Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.0956435Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0956507Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0956782Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-11-03T16:25:37.0956941Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-11-03T16:25:37.0957214Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 138, in apply_rotary_pos_emb
2025-11-03T16:25:37.0957298Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-11-03T16:25:37.0957552Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-11-03T16:25:37.0957627Z     return torch.cat((-x2, x1), dim=-1)
2025-11-03T16:25:37.0957630Z 
2025-11-03T16:25:37.0957713Z cudagraph partition due to non gpu ops
2025-11-03T16:25:37.0957808Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.0957997Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.0958058Z     return mod(**inputs)
2025-11-03T16:25:37.0958263Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.0958341Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.0958578Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.0958675Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.0958878Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.0958951Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.0959193Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.0959263Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.0959476Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.0959553Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.0959775Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0959844Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0960078Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.0960154Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.0960411Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0960481Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0960722Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-11-03T16:25:37.0960869Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-11-03T16:25:37.0961154Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 138, in apply_rotary_pos_emb
2025-11-03T16:25:37.0961238Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-11-03T16:25:37.0961490Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-11-03T16:25:37.0961561Z     return torch.cat((-x2, x1), dim=-1)
2025-11-03T16:25:37.0961564Z 
2025-11-03T16:25:37.0961660Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.0961852Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.0961912Z     return mod(**inputs)
2025-11-03T16:25:37.0962122Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.0962190Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.0962460Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.0962551Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.0962754Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.0962832Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.0963065Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.0963144Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.0963350Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.0963422Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.0963650Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0963715Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0963957Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.0964025Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.0964249Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0964317Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0964553Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-11-03T16:25:37.0964698Z     key_states = self.k_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-11-03T16:25:37.0964701Z 
2025-11-03T16:25:37.0964797Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.0964983Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.0965044Z     return mod(**inputs)
2025-11-03T16:25:37.0965252Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.0965332Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.0965569Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.0965666Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.0965867Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.0965971Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.0966213Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.0966279Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.0966490Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.0966566Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.0966797Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0966859Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0967096Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.0967175Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.0967403Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0967472Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0967707Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-11-03T16:25:37.0967856Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-11-03T16:25:37.0968162Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 139, in apply_rotary_pos_emb
2025-11-03T16:25:37.0968246Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-11-03T16:25:37.0968495Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-11-03T16:25:37.0968565Z     return torch.cat((-x2, x1), dim=-1)
2025-11-03T16:25:37.0968568Z 
2025-11-03T16:25:37.0968646Z cudagraph partition due to non gpu ops
2025-11-03T16:25:37.0968745Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.0968928Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.0968995Z     return mod(**inputs)
2025-11-03T16:25:37.0969197Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.0969273Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.0969510Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.0969599Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.0969810Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.0969880Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.0970122Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.0970192Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.0970399Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.0970479Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.0970704Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0970779Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0971020Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.0971093Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.0971314Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0971376Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0971645Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-11-03T16:25:37.0971791Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-11-03T16:25:37.0972068Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 139, in apply_rotary_pos_emb
2025-11-03T16:25:37.0972150Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-11-03T16:25:37.0972398Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-11-03T16:25:37.0972474Z     return torch.cat((-x2, x1), dim=-1)
2025-11-03T16:25:37.0972477Z 
2025-11-03T16:25:37.0972574Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.0972763Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.0972824Z     return mod(**inputs)
2025-11-03T16:25:37.0973034Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.0973112Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.0973347Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.0973445Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.0973676Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.0973755Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.0973995Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.0974063Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.0974277Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.0974355Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.0974587Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0974650Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0974888Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.0974964Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.0975192Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0975260Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0975497Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 238, in forward
2025-11-03T16:25:37.0975637Z     value_states = self.v_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-11-03T16:25:37.0975643Z 
2025-11-03T16:25:37.0975716Z cudagraph partition due to non gpu ops
2025-11-03T16:25:37.0975814Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.0976000Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.0976061Z     return mod(**inputs)
2025-11-03T16:25:37.0976271Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.0976343Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.0976584Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.0976683Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.0976890Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.0976967Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.0977249Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.0977315Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.0977530Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.0977603Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.0977836Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0977899Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0978145Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.0978211Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.0978434Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0978510Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0978746Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 252, in forward
2025-11-03T16:25:37.0978845Z     attn_output, attn_weights = attention_interface(
2025-11-03T16:25:37.0979116Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/integrations/sdpa_attention.py", line 83, in sdpa_attention_forward
2025-11-03T16:25:37.0979273Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-11-03T16:25:37.0979282Z 
2025-11-03T16:25:37.0979379Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.0979559Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.0979627Z     return mod(**inputs)
2025-11-03T16:25:37.0979830Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.0979909Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.0980140Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.0980230Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.0980439Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.0980509Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.0980749Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.0980819Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.0981032Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.0981110Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.0981334Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0981405Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0981638Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.0981703Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.0981933Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0982000Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0982238Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 264, in forward
2025-11-03T16:25:37.0982313Z     attn_output = self.o_proj(attn_output)
2025-11-03T16:25:37.0982316Z 
2025-11-03T16:25:37.0982417Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.0982597Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.0982687Z     return mod(**inputs)
2025-11-03T16:25:37.0982901Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.0982972Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.0983218Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.0983307Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.0983517Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.0983596Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.0983835Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.0983908Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.0984120Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.0984197Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.0984435Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0984498Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0984746Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-11-03T16:25:37.0984848Z     hidden_states = residual + hidden_states
2025-11-03T16:25:37.0984851Z 
2025-11-03T16:25:37.0984955Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.0985136Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.0985197Z     return mod(**inputs)
2025-11-03T16:25:37.0985409Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.0985482Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.0985724Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.0985816Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.0986023Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.0986102Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.0986340Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.0986415Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.0986623Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.0986706Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.0986931Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0986998Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0987241Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-11-03T16:25:37.0987317Z     hidden_states = self.mlp(hidden_states)
2025-11-03T16:25:37.0987564Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-11-03T16:25:37.0987707Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-11-03T16:25:37.0987710Z 
2025-11-03T16:25:37.0987806Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.0987998Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.0988061Z     return mod(**inputs)
2025-11-03T16:25:37.0988272Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.0988373Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.0988604Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.0988701Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.0988905Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.0988987Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.0989221Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.0989296Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.0989501Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.0989574Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.0989811Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0989874Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0990116Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-11-03T16:25:37.0990191Z     hidden_states = self.mlp(hidden_states)
2025-11-03T16:25:37.0990452Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-11-03T16:25:37.0990594Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-11-03T16:25:37.0990597Z 
2025-11-03T16:25:37.0990694Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.0990881Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.0990943Z     return mod(**inputs)
2025-11-03T16:25:37.0991156Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.0991225Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.0991458Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.0991554Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.0991760Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.0991839Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.0992074Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.0992143Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.0992356Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.0992433Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.0992664Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0992726Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0992960Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-11-03T16:25:37.0993041Z     hidden_states = self.mlp(hidden_states)
2025-11-03T16:25:37.0993279Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-11-03T16:25:37.0993421Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-11-03T16:25:37.0993425Z 
2025-11-03T16:25:37.0993520Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.0993706Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.0993794Z     return mod(**inputs)
2025-11-03T16:25:37.0993997Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.0994075Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.0994311Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.0994405Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.0994609Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.0994678Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.0994921Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.0994989Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.0995200Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.0995277Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.0995509Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0995574Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0995807Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-11-03T16:25:37.0995928Z     hidden_states = self.mlp(hidden_states)
2025-11-03T16:25:37.0996162Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-11-03T16:25:37.0996303Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-11-03T16:25:37.0996306Z 
2025-11-03T16:25:37.0996402Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.0996582Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.0996653Z     return mod(**inputs)
2025-11-03T16:25:37.0996854Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.0996927Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.0997159Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.0997256Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.0997459Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.0997530Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.0997768Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.0997835Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.0998050Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.0998126Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.0998352Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0998423Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0998662Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.0998739Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.0998968Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.0999030Z     return func(*args, **kwargs)
2025-11-03T16:25:37.0999271Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 236, in forward
2025-11-03T16:25:37.0999407Z     query_states = self.q_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-11-03T16:25:37.0999438Z 
2025-11-03T16:25:37.0999545Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.0999728Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.0999795Z     return mod(**inputs)
2025-11-03T16:25:37.1000000Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.1000074Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.1000322Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.1000413Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.1000627Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.1000699Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.1000938Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.1001013Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.1001220Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.1001301Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.1001571Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1001643Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1001881Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.1001951Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.1002187Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1002251Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1002495Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-11-03T16:25:37.1002643Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-11-03T16:25:37.1002915Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 138, in apply_rotary_pos_emb
2025-11-03T16:25:37.1003005Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-11-03T16:25:37.1003249Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-11-03T16:25:37.1003327Z     return torch.cat((-x2, x1), dim=-1)
2025-11-03T16:25:37.1003330Z 
2025-11-03T16:25:37.1003404Z cudagraph partition due to non gpu ops
2025-11-03T16:25:37.1003509Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.1003694Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.1003753Z     return mod(**inputs)
2025-11-03T16:25:37.1003963Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.1004033Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.1004272Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.1004367Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.1004568Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.1004643Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.1004876Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.1004953Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.1005191Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.1005266Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.1005498Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1005561Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1005807Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.1005876Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.1006110Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1006173Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1006408Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-11-03T16:25:37.1006567Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-11-03T16:25:37.1006837Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 138, in apply_rotary_pos_emb
2025-11-03T16:25:37.1006924Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-11-03T16:25:37.1007196Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-11-03T16:25:37.1007269Z     return torch.cat((-x2, x1), dim=-1)
2025-11-03T16:25:37.1007272Z 
2025-11-03T16:25:37.1007380Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.1007565Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.1007631Z     return mod(**inputs)
2025-11-03T16:25:37.1007835Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.1007908Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.1008148Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.1008241Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.1008455Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.1008528Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.1008767Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.1008835Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.1009041Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.1009120Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.1009350Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1009419Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1009658Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.1009726Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.1009960Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1010021Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1010269Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-11-03T16:25:37.1010406Z     key_states = self.k_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-11-03T16:25:37.1010409Z 
2025-11-03T16:25:37.1010509Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.1010726Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.1010785Z     return mod(**inputs)
2025-11-03T16:25:37.1010996Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.1011066Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.1011309Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.1011401Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.1011604Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.1011678Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.1011912Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.1011987Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.1012196Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.1012269Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.1012500Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1012564Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1012840Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.1012909Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.1013145Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1013208Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1013445Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-11-03T16:25:37.1013605Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-11-03T16:25:37.1013877Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 139, in apply_rotary_pos_emb
2025-11-03T16:25:37.1013963Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-11-03T16:25:37.1014213Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-11-03T16:25:37.1014282Z     return torch.cat((-x2, x1), dim=-1)
2025-11-03T16:25:37.1014293Z 
2025-11-03T16:25:37.1014365Z cudagraph partition due to non gpu ops
2025-11-03T16:25:37.1014462Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.1014652Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.1014713Z     return mod(**inputs)
2025-11-03T16:25:37.1014924Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.1014998Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.1015238Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.1015340Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.1015548Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.1015625Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.1015863Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.1015932Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.1016140Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.1016215Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.1016480Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1016544Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1016780Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.1016854Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.1017085Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1017154Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1017392Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-11-03T16:25:37.1017542Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-11-03T16:25:37.1017810Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 139, in apply_rotary_pos_emb
2025-11-03T16:25:37.1017889Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-11-03T16:25:37.1018148Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-11-03T16:25:37.1018217Z     return torch.cat((-x2, x1), dim=-1)
2025-11-03T16:25:37.1018220Z 
2025-11-03T16:25:37.1018320Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.1018535Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.1018593Z     return mod(**inputs)
2025-11-03T16:25:37.1018800Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.1018872Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.1019115Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.1019211Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.1019420Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.1019491Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.1019726Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.1019802Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.1020008Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.1020080Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.1020310Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1020374Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1020619Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.1020683Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.1020914Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1020978Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1021212Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 238, in forward
2025-11-03T16:25:37.1021357Z     value_states = self.v_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-11-03T16:25:37.1021360Z 
2025-11-03T16:25:37.1021432Z cudagraph partition due to non gpu ops
2025-11-03T16:25:37.1021535Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.1021712Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.1021809Z     return mod(**inputs)
2025-11-03T16:25:37.1022011Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.1022080Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.1022316Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.1022408Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.1022614Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.1022687Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.1022923Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.1022997Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.1023207Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.1023289Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.1023509Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1023579Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1023812Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.1023880Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.1024140Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1024205Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1024443Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 252, in forward
2025-11-03T16:25:37.1024539Z     attn_output, attn_weights = attention_interface(
2025-11-03T16:25:37.1024814Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/integrations/sdpa_attention.py", line 83, in sdpa_attention_forward
2025-11-03T16:25:37.1024946Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-11-03T16:25:37.1024949Z 
2025-11-03T16:25:37.1025045Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.1025226Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.1025285Z     return mod(**inputs)
2025-11-03T16:25:37.1025491Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.1025570Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.1025805Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.1025897Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.1026100Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.1026180Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.1026412Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.1026479Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.1026692Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.1026764Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.1026994Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1027059Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1027294Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.1027363Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.1027612Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1027683Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1027921Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 264, in forward
2025-11-03T16:25:37.1028004Z     attn_output = self.o_proj(attn_output)
2025-11-03T16:25:37.1028007Z 
2025-11-03T16:25:37.1028108Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.1028288Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.1028357Z     return mod(**inputs)
2025-11-03T16:25:37.1028561Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.1028634Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.1028862Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.1028958Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.1029168Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.1029240Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.1029504Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.1029573Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.1029782Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.1029863Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.1030089Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1030166Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1030401Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-11-03T16:25:37.1030487Z     hidden_states = self.mlp(hidden_states)
2025-11-03T16:25:37.1030722Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-11-03T16:25:37.1030859Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-11-03T16:25:37.1030865Z 
2025-11-03T16:25:37.1030970Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.1031150Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.1031214Z     return mod(**inputs)
2025-11-03T16:25:37.1031416Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.1031487Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.1031733Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.1031826Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.1032033Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.1032104Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.1032345Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.1032410Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.1032620Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.1032697Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.1032921Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1033014Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1033258Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-11-03T16:25:37.1033330Z     hidden_states = self.mlp(hidden_states)
2025-11-03T16:25:37.1033569Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-11-03T16:25:37.1033709Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-11-03T16:25:37.1033712Z 
2025-11-03T16:25:37.1033815Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.1033997Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.1034065Z     return mod(**inputs)
2025-11-03T16:25:37.1034267Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.1034338Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.1034577Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.1034663Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.1034871Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.1034942Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.1035209Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.1035287Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.1035492Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.1035570Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.1035795Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1035863Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1036103Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-11-03T16:25:37.1036175Z     hidden_states = self.mlp(hidden_states)
2025-11-03T16:25:37.1036417Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-11-03T16:25:37.1036551Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-11-03T16:25:37.1036554Z 
2025-11-03T16:25:37.1036655Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.1036834Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.1036893Z     return mod(**inputs)
2025-11-03T16:25:37.1037101Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.1037172Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.1037417Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.1037504Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.1037718Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.1037799Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.1038033Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.1038106Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.1038310Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.1038384Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.1038650Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1038713Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1038956Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-11-03T16:25:37.1039027Z     hidden_states = self.mlp(hidden_states)
2025-11-03T16:25:37.1039269Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-11-03T16:25:37.1039397Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-11-03T16:25:37.1039400Z 
2025-11-03T16:25:37.1039497Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.1039688Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.1039745Z     return mod(**inputs)
2025-11-03T16:25:37.1039954Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.1040024Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.1040260Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.1040360Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.1040591Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.1040665Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.1040900Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.1040976Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.1041183Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.1041261Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.1041491Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1041554Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1041797Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.1041866Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.1042095Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1042165Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1042397Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 236, in forward
2025-11-03T16:25:37.1042537Z     query_states = self.q_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-11-03T16:25:37.1042540Z 
2025-11-03T16:25:37.1042641Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.1042829Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.1042887Z     return mod(**inputs)
2025-11-03T16:25:37.1043091Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.1043168Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.1043402Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.1043501Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.1043704Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.1043771Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.1044014Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.1044107Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.1044329Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.1044401Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.1044632Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1044702Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1044942Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.1045018Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.1045251Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1045319Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1045562Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-11-03T16:25:37.1045713Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-11-03T16:25:37.1046001Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 138, in apply_rotary_pos_emb
2025-11-03T16:25:37.1046084Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-11-03T16:25:37.1046372Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-11-03T16:25:37.1046440Z     return torch.cat((-x2, x1), dim=-1)
2025-11-03T16:25:37.1046443Z 
2025-11-03T16:25:37.1046512Z cudagraph partition due to non gpu ops
2025-11-03T16:25:37.1046615Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.1046797Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.1046865Z     return mod(**inputs)
2025-11-03T16:25:37.1047068Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.1047140Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.1047373Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.1047460Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.1047669Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.1047737Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.1047977Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.1048044Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.1048247Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.1048327Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.1048554Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1048621Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1048858Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.1048927Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.1049154Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1049216Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1049457Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-11-03T16:25:37.1049599Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-11-03T16:25:37.1049910Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 138, in apply_rotary_pos_emb
2025-11-03T16:25:37.1049990Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-11-03T16:25:37.1050234Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-11-03T16:25:37.1050306Z     return torch.cat((-x2, x1), dim=-1)
2025-11-03T16:25:37.1050309Z 
2025-11-03T16:25:37.1050409Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.1050592Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.1050651Z     return mod(**inputs)
2025-11-03T16:25:37.1050855Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.1050932Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.1051167Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.1051263Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.1051466Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.1051542Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.1051809Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.1051880Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.1052093Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.1052168Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.1052399Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1052465Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1052701Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.1052778Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.1053001Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1053071Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1053309Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-11-03T16:25:37.1053445Z     key_states = self.k_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-11-03T16:25:37.1053454Z 
2025-11-03T16:25:37.1053550Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.1053763Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.1053835Z     return mod(**inputs)
2025-11-03T16:25:37.1054039Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.1054118Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.1054352Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.1054439Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.1054648Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.1054718Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.1054960Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.1055027Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.1055232Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.1055360Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.1055588Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1055657Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1055895Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.1055970Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.1056195Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1056259Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1056500Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-11-03T16:25:37.1056650Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-11-03T16:25:37.1056931Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 139, in apply_rotary_pos_emb
2025-11-03T16:25:37.1057013Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-11-03T16:25:37.1057266Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-11-03T16:25:37.1057343Z     return torch.cat((-x2, x1), dim=-1)
2025-11-03T16:25:37.1057346Z 
2025-11-03T16:25:37.1057459Z cudagraph partition due to non gpu ops
2025-11-03T16:25:37.1057568Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.1057751Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.1057813Z     return mod(**inputs)
2025-11-03T16:25:37.1058024Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.1058097Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.1058341Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.1058431Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.1058645Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.1058715Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.1058951Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.1059026Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.1059232Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.1059313Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.1059540Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1059608Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1059852Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.1059920Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.1060153Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1060217Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1060453Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-11-03T16:25:37.1060609Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-11-03T16:25:37.1060881Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 139, in apply_rotary_pos_emb
2025-11-03T16:25:37.1061008Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-11-03T16:25:37.1061257Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-11-03T16:25:37.1061330Z     return torch.cat((-x2, x1), dim=-1)
2025-11-03T16:25:37.1061333Z 
2025-11-03T16:25:37.1061430Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.1061612Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.1061683Z     return mod(**inputs)
2025-11-03T16:25:37.1061889Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.1061964Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.1062203Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.1062293Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.1062511Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.1062581Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.1062828Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.1062896Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.1063139Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.1063217Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.1063438Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1063511Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1063745Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.1063823Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.1064048Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1064111Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1064351Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 238, in forward
2025-11-03T16:25:37.1064486Z     value_states = self.v_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-11-03T16:25:37.1064489Z 
2025-11-03T16:25:37.1064571Z cudagraph partition due to non gpu ops
2025-11-03T16:25:37.1064670Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.1064859Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.1064919Z     return mod(**inputs)
2025-11-03T16:25:37.1065120Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.1065201Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.1065435Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.1065533Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.1065737Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.1065810Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.1066050Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.1066117Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.1066325Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.1066396Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.1066653Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1066725Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1066963Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.1067036Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.1067268Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1067339Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1067584Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 252, in forward
2025-11-03T16:25:37.1067676Z     attn_output, attn_weights = attention_interface(
2025-11-03T16:25:37.1067960Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/integrations/sdpa_attention.py", line 83, in sdpa_attention_forward
2025-11-03T16:25:37.1068089Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-11-03T16:25:37.1068092Z 
2025-11-03T16:25:37.1068195Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.1068378Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.1068439Z     return mod(**inputs)
2025-11-03T16:25:37.1068683Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.1068754Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.1068996Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.1069086Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.1069293Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.1069366Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.1069602Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.1069677Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.1069881Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.1069971Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.1070200Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1070266Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1070511Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.1070581Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.1070814Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1070882Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1071119Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 264, in forward
2025-11-03T16:25:37.1071202Z     attn_output = self.o_proj(attn_output)
2025-11-03T16:25:37.1071205Z 
2025-11-03T16:25:37.1071301Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.1071496Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.1071556Z     return mod(**inputs)
2025-11-03T16:25:37.1071770Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.1071840Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.1072074Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.1072203Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.1072411Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.1072490Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.1072731Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.1072802Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.1073024Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.1073102Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.1073340Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1073406Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1073650Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-11-03T16:25:37.1073739Z     hidden_states = residual + hidden_states
2025-11-03T16:25:37.1073741Z 
2025-11-03T16:25:37.1073835Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.1074026Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.1074087Z     return mod(**inputs)
2025-11-03T16:25:37.1074328Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.1074400Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.1074637Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.1074736Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.1074938Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.1075021Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.1075253Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.1075319Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.1075533Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.1075605Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.1075841Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1075906Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1076147Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-11-03T16:25:37.1076225Z     hidden_states = self.mlp(hidden_states)
2025-11-03T16:25:37.1076463Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-11-03T16:25:37.1076610Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-11-03T16:25:37.1076615Z 
2025-11-03T16:25:37.1076712Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.1076898Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.1076959Z     return mod(**inputs)
2025-11-03T16:25:37.1077166Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.1077247Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.1077480Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.1077578Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.1077779Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.1077885Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.1078123Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.1078192Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.1078405Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.1078479Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.1078713Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1078776Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1079011Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-11-03T16:25:37.1079097Z     hidden_states = self.mlp(hidden_states)
2025-11-03T16:25:37.1079332Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-11-03T16:25:37.1079475Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-11-03T16:25:37.1079478Z 
2025-11-03T16:25:37.1079573Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.1079756Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.1079859Z     return mod(**inputs)
2025-11-03T16:25:37.1080066Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.1080145Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.1080379Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.1080477Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.1080684Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.1080753Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.1080994Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.1081061Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.1081280Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.1081353Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.1081578Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1081651Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1081887Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-11-03T16:25:37.1081975Z     hidden_states = self.mlp(hidden_states)
2025-11-03T16:25:37.1082211Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-11-03T16:25:37.1082350Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-11-03T16:25:37.1082353Z 
2025-11-03T16:25:37.1082453Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.1082636Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.1082707Z     return mod(**inputs)
2025-11-03T16:25:37.1082911Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.1082989Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.1083221Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.1083342Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.1083560Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.1083632Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.1083877Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.1083944Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.1084154Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.1084235Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.1084462Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1084535Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1084768Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-11-03T16:25:37.1084854Z     hidden_states = self.mlp(hidden_states)
2025-11-03T16:25:37.1085093Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-11-03T16:25:37.1085228Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-11-03T16:25:37.1085231Z 
2025-11-03T16:25:37.1085340Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.1085592Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.1085666Z     return mod(**inputs)
2025-11-03T16:25:37.1085874Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.1085948Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.1086202Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.1086296Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.1086509Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.1086582Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.1086830Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.1086902Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.1087112Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.1087193Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.1087418Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1087492Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1087727Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.1087799Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.1088033Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1088098Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1088347Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 236, in forward
2025-11-03T16:25:37.1088485Z     query_states = self.q_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-11-03T16:25:37.1088488Z 
2025-11-03T16:25:37.1088596Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.1088782Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.1088845Z     return mod(**inputs)
2025-11-03T16:25:37.1089060Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.1089164Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.1089409Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.1089501Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.1089704Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.1089786Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.1090023Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.1090095Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.1090305Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.1090379Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.1090620Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1090684Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1090926Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.1090994Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.1091270Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1091335Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1091567Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-11-03T16:25:37.1091723Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-11-03T16:25:37.1091994Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 138, in apply_rotary_pos_emb
2025-11-03T16:25:37.1092089Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-11-03T16:25:37.1092336Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-11-03T16:25:37.1092408Z     return torch.cat((-x2, x1), dim=-1)
2025-11-03T16:25:37.1092411Z 
2025-11-03T16:25:37.1092491Z cudagraph partition due to non gpu ops
2025-11-03T16:25:37.1092590Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.1092780Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.1092840Z     return mod(**inputs)
2025-11-03T16:25:37.1093042Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.1093120Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.1093354Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.1093456Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.1093663Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.1093742Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.1093979Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.1094047Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.1094267Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.1094341Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.1094579Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1094644Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1094910Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.1094992Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.1095218Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1095290Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1095530Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-11-03T16:25:37.1095687Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-11-03T16:25:37.1095958Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 138, in apply_rotary_pos_emb
2025-11-03T16:25:37.1096039Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-11-03T16:25:37.1096299Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-11-03T16:25:37.1096375Z     return torch.cat((-x2, x1), dim=-1)
2025-11-03T16:25:37.1096379Z 
2025-11-03T16:25:37.1096487Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.1096671Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.1096732Z     return mod(**inputs)
2025-11-03T16:25:37.1096974Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.1097048Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.1097292Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.1097385Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.1097597Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.1097672Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.1097908Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.1097984Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.1098189Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.1098279Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.1098507Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1098573Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1098816Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.1098887Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.1099121Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1099184Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1099418Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-11-03T16:25:37.1099561Z     key_states = self.k_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-11-03T16:25:37.1099564Z 
2025-11-03T16:25:37.1099665Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.1099857Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.1099919Z     return mod(**inputs)
2025-11-03T16:25:37.1100127Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.1100199Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.1100429Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.1100555Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.1100758Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.1100836Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.1101072Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.1101142Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.1101356Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.1101429Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.1101660Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1101723Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1101962Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.1102033Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.1102256Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1102325Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1102589Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-11-03T16:25:37.1102742Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-11-03T16:25:37.1103013Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 139, in apply_rotary_pos_emb
2025-11-03T16:25:37.1103094Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-11-03T16:25:37.1103348Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-11-03T16:25:37.1103420Z     return torch.cat((-x2, x1), dim=-1)
2025-11-03T16:25:37.1103423Z 
2025-11-03T16:25:37.1103504Z cudagraph partition due to non gpu ops
2025-11-03T16:25:37.1103600Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.1103782Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.1103851Z     return mod(**inputs)
2025-11-03T16:25:37.1104052Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.1104125Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.1104364Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.1104463Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.1104676Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.1104745Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.1104983Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.1105051Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.1105266Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.1105339Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.1105566Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1105636Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1105872Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.1105977Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.1106202Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1106266Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1106501Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-11-03T16:25:37.1106650Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-11-03T16:25:37.1106928Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 139, in apply_rotary_pos_emb
2025-11-03T16:25:37.1107006Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-11-03T16:25:37.1107261Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-11-03T16:25:37.1107326Z     return torch.cat((-x2, x1), dim=-1)
2025-11-03T16:25:37.1107331Z 
2025-11-03T16:25:37.1107427Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.1107614Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.1107670Z     return mod(**inputs)
2025-11-03T16:25:37.1107874Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.1107944Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.1108202Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.1108300Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.1108501Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.1108578Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.1108809Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.1108883Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.1109087Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.1109160Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.1109385Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1109449Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1109685Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.1109750Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.1109969Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1110034Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1110269Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 238, in forward
2025-11-03T16:25:37.1110410Z     value_states = self.v_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-11-03T16:25:37.1110413Z 
2025-11-03T16:25:37.1110486Z cudagraph partition due to non gpu ops
2025-11-03T16:25:37.1110587Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.1110769Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.1110827Z     return mod(**inputs)
2025-11-03T16:25:37.1111034Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.1111100Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.1111335Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.1111423Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.1111651Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.1111722Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.1111953Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.1112023Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.1112227Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.1112301Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.1112527Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1112590Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1112827Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.1112895Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.1113118Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1113177Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1113410Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 252, in forward
2025-11-03T16:25:37.1113534Z     attn_output, attn_weights = attention_interface(
2025-11-03T16:25:37.1113802Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/integrations/sdpa_attention.py", line 83, in sdpa_attention_forward
2025-11-03T16:25:37.1113935Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-11-03T16:25:37.1113938Z 
2025-11-03T16:25:37.1114033Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.1114212Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.1114285Z     return mod(**inputs)
2025-11-03T16:25:37.1114488Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.1114563Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.1114797Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.1114888Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.1115097Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.1115167Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.1115406Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.1115472Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.1115681Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.1115756Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.1115974Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1116038Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1116272Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.1116344Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.1116565Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1116629Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1116865Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 264, in forward
2025-11-03T16:25:37.1116939Z     attn_output = self.o_proj(attn_output)
2025-11-03T16:25:37.1116972Z 
2025-11-03T16:25:37.1117075Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.1117256Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.1117316Z     return mod(**inputs)
2025-11-03T16:25:37.1117516Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.1117583Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.1117824Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.1117914Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.1118120Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.1118189Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.1118424Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.1118493Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.1118695Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.1118775Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.1119028Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1119093Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1119328Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-11-03T16:25:37.1119399Z     hidden_states = self.mlp(hidden_states)
2025-11-03T16:25:37.1119637Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-11-03T16:25:37.1119779Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-11-03T16:25:37.1119782Z 
2025-11-03T16:25:37.1119886Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.1120063Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.1120124Z     return mod(**inputs)
2025-11-03T16:25:37.1120340Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.1120409Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.1120648Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.1120741Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.1120944Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.1121021Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.1121256Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.1121328Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.1121531Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.1121611Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.1121835Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1121900Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1122136Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-11-03T16:25:37.1122208Z     hidden_states = self.mlp(hidden_states)
2025-11-03T16:25:37.1122448Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-11-03T16:25:37.1122619Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-11-03T16:25:37.1122622Z 
2025-11-03T16:25:37.1122719Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.1122909Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.1122969Z     return mod(**inputs)
2025-11-03T16:25:37.1123175Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.1123244Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.1123478Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.1123578Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.1123781Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.1123861Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.1124094Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.1124170Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.1124380Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.1124455Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.1124719Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1124787Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1125031Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-11-03T16:25:37.1125107Z     hidden_states = self.mlp(hidden_states)
2025-11-03T16:25:37.1125340Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-11-03T16:25:37.1125485Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-11-03T16:25:37.1125488Z 
2025-11-03T16:25:37.1125586Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.1125780Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.1125840Z     return mod(**inputs)
2025-11-03T16:25:37.1126055Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.1126127Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.1126366Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.1126468Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.1126671Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.1126756Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.1126991Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.1127059Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.1127278Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.1127357Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.1127594Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1127660Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1127895Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-11-03T16:25:37.1127975Z     hidden_states = self.mlp(hidden_states)
2025-11-03T16:25:37.1128242Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-11-03T16:25:37.1128385Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-11-03T16:25:37.1128388Z 
2025-11-03T16:25:37.1128486Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.1128677Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.1128740Z     return mod(**inputs)
2025-11-03T16:25:37.1128945Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.1129024Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.1129261Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.1129363Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.1129569Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.1129639Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.1129882Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.1129951Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.1130196Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.1130274Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.1130506Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1130570Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1130803Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.1130883Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.1131108Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1131180Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1131414Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 236, in forward
2025-11-03T16:25:37.1131550Z     query_states = self.q_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-11-03T16:25:37.1131554Z 
2025-11-03T16:25:37.1131659Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.1131841Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.1131907Z     return mod(**inputs)
2025-11-03T16:25:37.1132109Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.1132187Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.1132422Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.1132513Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.1132724Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.1132794Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.1133037Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.1133106Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.1133312Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.1133393Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.1133618Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1133716Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1133955Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.1134025Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.1134266Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1134333Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1134580Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-11-03T16:25:37.1134729Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-11-03T16:25:37.1135015Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 138, in apply_rotary_pos_emb
2025-11-03T16:25:37.1135102Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-11-03T16:25:37.1135352Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-11-03T16:25:37.1135429Z     return torch.cat((-x2, x1), dim=-1)
2025-11-03T16:25:37.1135432Z 
2025-11-03T16:25:37.1135507Z cudagraph partition due to non gpu ops
2025-11-03T16:25:37.1135611Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.1135831Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.1135895Z     return mod(**inputs)
2025-11-03T16:25:37.1136109Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.1136181Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.1136429Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.1136523Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.1136738Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.1136809Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.1137044Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.1137120Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.1137329Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.1137412Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.1137639Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1137703Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1137950Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.1138023Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.1138255Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1138319Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1138553Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-11-03T16:25:37.1138714Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-11-03T16:25:37.1138988Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 138, in apply_rotary_pos_emb
2025-11-03T16:25:37.1139078Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-11-03T16:25:37.1139328Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-11-03T16:25:37.1139459Z     return torch.cat((-x2, x1), dim=-1)
2025-11-03T16:25:37.1139462Z 
2025-11-03T16:25:37.1139561Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.1139748Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.1139818Z     return mod(**inputs)
2025-11-03T16:25:37.1140023Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.1140105Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.1140338Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.1140431Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.1140644Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.1140716Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.1140960Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.1141028Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.1141242Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.1141319Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.1141573Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1141649Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1141886Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.1141965Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.1142190Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1142256Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1142500Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-11-03T16:25:37.1142635Z     key_states = self.k_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-11-03T16:25:37.1142639Z 
2025-11-03T16:25:37.1142747Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.1142933Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.1142996Z     return mod(**inputs)
2025-11-03T16:25:37.1143211Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.1143279Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.1143524Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.1143618Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.1143830Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.1143900Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.1144138Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.1144215Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.1144425Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.1144507Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.1144736Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1144799Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1145047Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.1145151Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.1145383Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1145448Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1145692Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-11-03T16:25:37.1145843Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-11-03T16:25:37.1146120Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 139, in apply_rotary_pos_emb
2025-11-03T16:25:37.1146211Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-11-03T16:25:37.1146457Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-11-03T16:25:37.1146536Z     return torch.cat((-x2, x1), dim=-1)
2025-11-03T16:25:37.1146539Z 
2025-11-03T16:25:37.1146613Z cudagraph partition due to non gpu ops
2025-11-03T16:25:37.1146712Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.1146909Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.1146972Z     return mod(**inputs)
2025-11-03T16:25:37.1147211Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.1147284Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.1147522Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.1147620Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.1147825Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.1147909Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.1148148Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.1148224Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.1148431Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.1148505Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.1148742Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1148807Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1149049Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.1149118Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.1149343Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1149417Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1149653Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-11-03T16:25:37.1149810Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-11-03T16:25:37.1150085Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 139, in apply_rotary_pos_emb
2025-11-03T16:25:37.1150173Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-11-03T16:25:37.1150421Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-11-03T16:25:37.1150491Z     return torch.cat((-x2, x1), dim=-1)
2025-11-03T16:25:37.1150494Z 
2025-11-03T16:25:37.1150599Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.1150811Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.1150881Z     return mod(**inputs)
2025-11-03T16:25:37.1151085Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.1151157Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.1151402Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.1151499Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.1151712Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.1151785Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.1152023Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.1152101Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.1152311Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.1152395Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.1152622Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1152696Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1152956Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.1153028Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.1153264Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1153327Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1153601Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 238, in forward
2025-11-03T16:25:37.1153743Z     value_states = self.v_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-11-03T16:25:37.1153746Z 
2025-11-03T16:25:37.1153820Z cudagraph partition due to non gpu ops
2025-11-03T16:25:37.1153926Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.1154110Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.1154181Z     return mod(**inputs)
2025-11-03T16:25:37.1154388Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.1154470Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.1154706Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.1154801Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.1155014Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.1155092Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.1155335Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.1155405Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.1155613Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.1155700Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.1155932Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1156007Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1156244Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.1156314Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.1156596Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1156662Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1156903Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 252, in forward
2025-11-03T16:25:37.1157002Z     attn_output, attn_weights = attention_interface(
2025-11-03T16:25:37.1157282Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/integrations/sdpa_attention.py", line 83, in sdpa_attention_forward
2025-11-03T16:25:37.1157411Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-11-03T16:25:37.1157415Z 
2025-11-03T16:25:37.1157511Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.1157702Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.1157765Z     return mod(**inputs)
2025-11-03T16:25:37.1157979Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.1158050Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.1158283Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.1158382Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.1158627Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.1158707Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.1158946Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.1159028Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.1159235Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.1159313Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.1159547Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1159611Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1159854Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.1159923Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.1160152Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1160221Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1160458Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 264, in forward
2025-11-03T16:25:37.1160543Z     attn_output = self.o_proj(attn_output)
2025-11-03T16:25:37.1160546Z 
2025-11-03T16:25:37.1160644Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.1160828Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.1160897Z     return mod(**inputs)
2025-11-03T16:25:37.1161101Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.1161180Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.1161418Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.1161514Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.1161714Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.1161786Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.1162028Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.1162128Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.1162342Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.1162415Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.1162639Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1162714Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1162952Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-11-03T16:25:37.1163038Z     hidden_states = residual + hidden_states
2025-11-03T16:25:37.1163041Z 
2025-11-03T16:25:37.1163139Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.1163329Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.1163391Z     return mod(**inputs)
2025-11-03T16:25:37.1163598Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.1163681Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.1163918Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.1164018Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.1164263Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.1164336Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.1164578Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.1164648Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.1164862Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.1164937Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.1165162Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1165238Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1165473Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-11-03T16:25:37.1165558Z     hidden_states = self.mlp(hidden_states)
2025-11-03T16:25:37.1165798Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-11-03T16:25:37.1165946Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-11-03T16:25:37.1165949Z 
2025-11-03T16:25:37.1166047Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.1166229Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.1166301Z     return mod(**inputs)
2025-11-03T16:25:37.1166504Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.1166583Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.1166816Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.1166908Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.1167130Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.1167200Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.1167442Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.1167509Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.1167716Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.1167828Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.1168054Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1168128Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1168361Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-11-03T16:25:37.1168448Z     hidden_states = self.mlp(hidden_states)
2025-11-03T16:25:37.1168681Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-11-03T16:25:37.1168818Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-11-03T16:25:37.1168821Z 
2025-11-03T16:25:37.1168925Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.1169108Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.1169181Z     return mod(**inputs)
2025-11-03T16:25:37.1169386Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.1169458Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.1169696Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.1169819Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.1170032Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.1170102Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.1170347Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.1170415Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.1170627Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.1170708Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.1170933Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1171007Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1171246Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-11-03T16:25:37.1171324Z     hidden_states = self.mlp(hidden_states)
2025-11-03T16:25:37.1171568Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-11-03T16:25:37.1171704Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-11-03T16:25:37.1171706Z 
2025-11-03T16:25:37.1171813Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.1171998Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.1172067Z     return mod(**inputs)
2025-11-03T16:25:37.1172273Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.1172344Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.1172590Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.1172682Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.1172894Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.1172963Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.1173199Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.1173303Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.1173512Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.1173595Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.1173823Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1173891Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1174137Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-11-03T16:25:37.1174214Z     hidden_states = self.mlp(hidden_states)
2025-11-03T16:25:37.1174453Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-11-03T16:25:37.1174587Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-11-03T16:25:37.1174590Z 
2025-11-03T16:25:37.1174696Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.1174881Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.1174942Z     return mod(**inputs)
2025-11-03T16:25:37.1175154Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.1175224Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.1175495Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.1175587Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.1175792Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.1175870Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.1176105Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.1176183Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.1176391Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.1176472Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.1176702Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1176768Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1177013Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.1177083Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.1177319Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1177384Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1177620Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 236, in forward
2025-11-03T16:25:37.1177770Z     query_states = self.q_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-11-03T16:25:37.1177773Z 
2025-11-03T16:25:37.1177870Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.1178066Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.1178129Z     return mod(**inputs)
2025-11-03T16:25:37.1178337Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.1178417Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.1178650Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.1178748Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.1178957Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.1179449Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.1179686Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.1179759Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.1179978Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.1180058Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.1180296Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1180363Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1180602Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.1180688Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.1180922Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1180999Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1181236Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-11-03T16:25:37.1181398Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-11-03T16:25:37.1181701Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 138, in apply_rotary_pos_emb
2025-11-03T16:25:37.1181786Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-11-03T16:25:37.1182045Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-11-03T16:25:37.1182118Z     return torch.cat((-x2, x1), dim=-1)
2025-11-03T16:25:37.1182120Z 
2025-11-03T16:25:37.1182205Z cudagraph partition due to non gpu ops
2025-11-03T16:25:37.1182306Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.1182491Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.1182561Z     return mod(**inputs)
2025-11-03T16:25:37.1182768Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.1182847Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.1183088Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.1183180Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.1183401Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.1183472Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.1183718Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.1183791Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.1184006Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.1184081Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.1184310Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1184382Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1184618Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.1184695Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.1184922Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1184985Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1185261Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-11-03T16:25:37.1185409Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-11-03T16:25:37.1185683Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 138, in apply_rotary_pos_emb
2025-11-03T16:25:37.1185768Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-11-03T16:25:37.1186021Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-11-03T16:25:37.1186090Z     return torch.cat((-x2, x1), dim=-1)
2025-11-03T16:25:37.1186093Z 
2025-11-03T16:25:37.1186188Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.1186377Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.1186441Z     return mod(**inputs)
2025-11-03T16:25:37.1186653Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.1186725Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.1186971Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.1187071Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.1187310Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.1187389Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.1187624Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.1187690Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.1187906Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.1187982Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.1188214Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1188277Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1188517Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.1188587Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.1188812Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1188884Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1189119Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-11-03T16:25:37.1189261Z     key_states = self.k_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-11-03T16:25:37.1189268Z 
2025-11-03T16:25:37.1189367Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.1189551Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.1189622Z     return mod(**inputs)
2025-11-03T16:25:37.1189825Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.1189904Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.1190143Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.1190245Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.1190450Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.1190521Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.1190764Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.1190861Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.1191080Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.1191153Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.1191377Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1191453Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1191688Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.1191766Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.1191994Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1192059Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1192305Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-11-03T16:25:37.1192453Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-11-03T16:25:37.1192732Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 139, in apply_rotary_pos_emb
2025-11-03T16:25:37.1192814Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-11-03T16:25:37.1193095Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-11-03T16:25:37.1193169Z     return torch.cat((-x2, x1), dim=-1)
2025-11-03T16:25:37.1193172Z 
2025-11-03T16:25:37.1193247Z cudagraph partition due to non gpu ops
2025-11-03T16:25:37.1193354Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.1193536Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.1193609Z     return mod(**inputs)
2025-11-03T16:25:37.1193816Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.1193886Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.1194132Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.1194228Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.1194442Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.1194513Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.1194757Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.1194825Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.1195035Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.1195117Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.1195345Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1195417Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1195655Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.1195723Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.1195959Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1196024Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1196266Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-11-03T16:25:37.1196443Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-11-03T16:25:37.1196724Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 139, in apply_rotary_pos_emb
2025-11-03T16:25:37.1196805Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-11-03T16:25:37.1197051Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-11-03T16:25:37.1197136Z     return torch.cat((-x2, x1), dim=-1)
2025-11-03T16:25:37.1197139Z 
2025-11-03T16:25:37.1197237Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.1197427Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.1197488Z     return mod(**inputs)
2025-11-03T16:25:37.1197692Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.1197778Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.1198014Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.1198112Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.1198316Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.1198388Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.1198661Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.1198730Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.1198943Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.1199020Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.1199253Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1199321Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1199558Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.1199639Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.1199866Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1199939Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1200172Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 238, in forward
2025-11-03T16:25:37.1200313Z     value_states = self.v_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-11-03T16:25:37.1200317Z 
2025-11-03T16:25:37.1200399Z cudagraph partition due to non gpu ops
2025-11-03T16:25:37.1200495Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.1200691Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.1200752Z     return mod(**inputs)
2025-11-03T16:25:37.1200959Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.1201040Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.1201279Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.1201377Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.1201581Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.1201659Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.1201894Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.1201995Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.1202212Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.1202285Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.1202522Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1202589Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1202831Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.1202910Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.1203138Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1203210Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1203447Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 252, in forward
2025-11-03T16:25:37.1203557Z     attn_output, attn_weights = attention_interface(
2025-11-03T16:25:37.1203832Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/integrations/sdpa_attention.py", line 83, in sdpa_attention_forward
2025-11-03T16:25:37.1203959Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-11-03T16:25:37.1203962Z 
2025-11-03T16:25:37.1204068Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.1204282Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.1204352Z     return mod(**inputs)
2025-11-03T16:25:37.1204555Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.1204627Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.1204870Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.1204964Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.1205176Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.1205248Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.1205482Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.1205561Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.1205765Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.1205847Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.1206073Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1206148Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1206381Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.1206452Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.1206688Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1206753Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1207005Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 264, in forward
2025-11-03T16:25:37.1207082Z     attn_output = self.o_proj(attn_output)
2025-11-03T16:25:37.1207085Z 
2025-11-03T16:25:37.1207185Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.1207380Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.1207440Z     return mod(**inputs)
2025-11-03T16:25:37.1207653Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.1207763Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.1208005Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.1208095Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.1208298Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.1208382Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.1208619Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.1208695Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.1208904Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.1208978Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.1209219Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1209283Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1209527Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-11-03T16:25:37.1209609Z     hidden_states = self.mlp(hidden_states)
2025-11-03T16:25:37.1209877Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-11-03T16:25:37.1210026Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-11-03T16:25:37.1210029Z 
2025-11-03T16:25:37.1210126Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.1210319Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.1210380Z     return mod(**inputs)
2025-11-03T16:25:37.1210591Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.1210665Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.1210898Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.1210998Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.1211207Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.1211285Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.1211518Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.1211586Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.1211798Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.1211873Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.1212113Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1212179Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1212419Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-11-03T16:25:37.1212495Z     hidden_states = self.mlp(hidden_states)
2025-11-03T16:25:37.1212731Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-11-03T16:25:37.1212875Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-11-03T16:25:37.1212878Z 
2025-11-03T16:25:37.1212976Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.1213170Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.1213230Z     return mod(**inputs)
2025-11-03T16:25:37.1213466Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.1213544Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.1213779Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.1213878Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.1214085Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.1214158Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.1214402Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.1214467Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.1214680Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.1214758Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.1214993Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1215057Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1215290Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-11-03T16:25:37.1215376Z     hidden_states = self.mlp(hidden_states)
2025-11-03T16:25:37.1215641Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-11-03T16:25:37.1215785Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-11-03T16:25:37.1215788Z 
2025-11-03T16:25:37.1215886Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.1216072Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.1216143Z     return mod(**inputs)
2025-11-03T16:25:37.1216349Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.1216425Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.1216664Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.1216764Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.1216971Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.1217040Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.1217287Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.1217355Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.1217572Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.1217651Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.1217880Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1217954Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1218191Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-11-03T16:25:37.1218272Z     hidden_states = self.mlp(hidden_states)
2025-11-03T16:25:37.1218506Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-11-03T16:25:37.1218648Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-11-03T16:25:37.1218651Z 
2025-11-03T16:25:37.1218749Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.1218932Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.1219031Z     return mod(**inputs)
2025-11-03T16:25:37.1219243Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.1219319Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.1219551Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.1219643Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.1219854Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.1219923Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.1220164Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.1220231Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.1220442Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.1220524Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.1220748Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1220823Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1221087Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.1221169Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.1221396Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1221460Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1221704Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 236, in forward
2025-11-03T16:25:37.1221848Z     query_states = self.q_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-11-03T16:25:37.1221851Z 
2025-11-03T16:25:37.1221956Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.1222144Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.1222205Z     return mod(**inputs)
2025-11-03T16:25:37.1222420Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.1222493Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.1222739Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.1222831Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.1223047Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.1223122Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.1223364Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.1223441Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.1223648Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.1223728Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.1223959Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1224024Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1224272Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.1224342Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.1224575Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1224668Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1224905Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-11-03T16:25:37.1225063Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-11-03T16:25:37.1225345Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 138, in apply_rotary_pos_emb
2025-11-03T16:25:37.1225439Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-11-03T16:25:37.1225688Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-11-03T16:25:37.1225769Z     return torch.cat((-x2, x1), dim=-1)
2025-11-03T16:25:37.1225771Z 
2025-11-03T16:25:37.1225848Z cudagraph partition due to non gpu ops
2025-11-03T16:25:37.1225945Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.1226136Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.1226200Z     return mod(**inputs)
2025-11-03T16:25:37.1226417Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.1226487Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.1226761Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.1226863Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.1227068Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.1227145Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.1227379Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.1227456Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.1227661Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.1227737Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.1227970Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1228035Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1228275Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.1228343Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.1228566Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1228637Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1228869Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-11-03T16:25:37.1229025Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-11-03T16:25:37.1229297Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 138, in apply_rotary_pos_emb
2025-11-03T16:25:37.1229377Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-11-03T16:25:37.1229632Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-11-03T16:25:37.1229700Z     return torch.cat((-x2, x1), dim=-1)
2025-11-03T16:25:37.1229703Z 
2025-11-03T16:25:37.1229807Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.1229990Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.1230059Z     return mod(**inputs)
2025-11-03T16:25:37.1230261Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.1230371Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.1230616Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.1230709Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.1230924Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.1230997Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.1231237Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.1231316Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.1231522Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.1231606Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.1231836Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1231909Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1232146Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.1232215Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.1232478Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1232543Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1232785Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-11-03T16:25:37.1232921Z     key_states = self.k_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-11-03T16:25:37.1232924Z 
2025-11-03T16:25:37.1233024Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.1233222Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.1233283Z     return mod(**inputs)
2025-11-03T16:25:37.1233495Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.1233566Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.1233804Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.1233904Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.1234110Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.1234190Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.1234426Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.1234508Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.1234717Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.1234792Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.1235032Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1235097Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1235342Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.1235413Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.1235639Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1235711Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1235945Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-11-03T16:25:37.1236132Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-11-03T16:25:37.1236405Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 139, in apply_rotary_pos_emb
2025-11-03T16:25:37.1236497Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-11-03T16:25:37.1236748Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-11-03T16:25:37.1236819Z     return torch.cat((-x2, x1), dim=-1)
2025-11-03T16:25:37.1236822Z 
2025-11-03T16:25:37.1236904Z cudagraph partition due to non gpu ops
2025-11-03T16:25:37.1237003Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.1237195Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.1237257Z     return mod(**inputs)
2025-11-03T16:25:37.1237467Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.1237544Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.1237782Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.1237879Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.1238116Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.1238187Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.1238428Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.1238497Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.1238710Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.1238789Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.1239023Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1239087Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1239324Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.1239401Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.1239631Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1239703Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1239941Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-11-03T16:25:37.1240088Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-11-03T16:25:37.1240369Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 139, in apply_rotary_pos_emb
2025-11-03T16:25:37.1240449Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-11-03T16:25:37.1240703Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-11-03T16:25:37.1240772Z     return torch.cat((-x2, x1), dim=-1)
2025-11-03T16:25:37.1240775Z 
2025-11-03T16:25:37.1240880Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.1241063Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.1241122Z     return mod(**inputs)
2025-11-03T16:25:37.1241336Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.1241405Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.1241649Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.1241771Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.1241975Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.1242051Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.1242287Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.1242362Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.1242569Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.1242642Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.1242875Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1242941Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1243184Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.1243253Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.1243488Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1243550Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1243815Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 238, in forward
2025-11-03T16:25:37.1243962Z     value_states = self.v_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-11-03T16:25:37.1243965Z 
2025-11-03T16:25:37.1244039Z cudagraph partition due to non gpu ops
2025-11-03T16:25:37.1244142Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.1244324Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.1244388Z     return mod(**inputs)
2025-11-03T16:25:37.1244600Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.1244672Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.1244917Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.1245010Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.1245223Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.1245295Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.1245528Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.1245604Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.1245811Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.1245894Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.1246117Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1246181Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1246426Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.1246495Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.1246726Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1246789Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1247025Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 252, in forward
2025-11-03T16:25:37.1247129Z     attn_output, attn_weights = attention_interface(
2025-11-03T16:25:37.1247429Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/integrations/sdpa_attention.py", line 83, in sdpa_attention_forward
2025-11-03T16:25:37.1247561Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-11-03T16:25:37.1247565Z 
2025-11-03T16:25:37.1247665Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.1247855Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.1247920Z     return mod(**inputs)
2025-11-03T16:25:37.1248130Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.1248208Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.1248446Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.1248544Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.1248750Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.1248823Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.1249068Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.1249135Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.1249385Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.1249461Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.1249694Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1249758Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1249993Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.1250072Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.1250301Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1250372Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1250606Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 264, in forward
2025-11-03T16:25:37.1250682Z     attn_output = self.o_proj(attn_output)
2025-11-03T16:25:37.1250685Z 
2025-11-03T16:25:37.1250797Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.1250979Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.1251050Z     return mod(**inputs)
2025-11-03T16:25:37.1251251Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.1251320Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.1251573Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.1251664Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.1251876Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.1251946Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.1252191Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.1252259Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.1252467Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.1252552Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.1252780Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1252879Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1253117Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-11-03T16:25:37.1253194Z     hidden_states = residual + hidden_states
2025-11-03T16:25:37.1253197Z 
2025-11-03T16:25:37.1253304Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.1253490Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.1253592Z     return mod(**inputs)
2025-11-03T16:25:37.1253797Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.1253869Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.1254116Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.1254207Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.1254425Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.1254498Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.1254742Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.1254812Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.1255070Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.1255156Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.1255387Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1255461Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1255701Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-11-03T16:25:37.1255778Z     hidden_states = self.mlp(hidden_states)
2025-11-03T16:25:37.1256026Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-11-03T16:25:37.1256166Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-11-03T16:25:37.1256170Z 
2025-11-03T16:25:37.1256276Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.1256462Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.1256533Z     return mod(**inputs)
2025-11-03T16:25:37.1256740Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.1256808Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.1257057Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.1257150Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.1257364Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.1257433Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.1257674Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.1257754Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.1257969Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.1258049Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.1258281Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1258344Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1258595Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-11-03T16:25:37.1258710Z     hidden_states = self.mlp(hidden_states)
2025-11-03T16:25:37.1258956Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-11-03T16:25:37.1259091Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-11-03T16:25:37.1259094Z 
2025-11-03T16:25:37.1259199Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.1259386Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.1259448Z     return mod(**inputs)
2025-11-03T16:25:37.1259663Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.1259735Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.1259982Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.1260076Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.1260280Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.1260362Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.1260602Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.1260706Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.1260914Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.1261001Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.1261225Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1261289Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1261536Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-11-03T16:25:37.1261611Z     hidden_states = self.mlp(hidden_states)
2025-11-03T16:25:37.1261852Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-11-03T16:25:37.1261987Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-11-03T16:25:37.1261990Z 
2025-11-03T16:25:37.1262091Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.1262284Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.1262345Z     return mod(**inputs)
2025-11-03T16:25:37.1262560Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.1262630Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.1262871Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.1262965Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.1263167Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.1263244Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.1263477Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.1263553Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.1263755Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.1263827Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.1264060Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1264158Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1264403Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-11-03T16:25:37.1264477Z     hidden_states = self.mlp(hidden_states)
2025-11-03T16:25:37.1264711Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-11-03T16:25:37.1264854Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-11-03T16:25:37.1264860Z 
2025-11-03T16:25:37.1264955Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.1265148Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.1265210Z     return mod(**inputs)
2025-11-03T16:25:37.1265423Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.1265494Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.1265734Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.1265834Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.1266041Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.1266121Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.1266387Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.1266459Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.1266685Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.1266759Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.1267002Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1267071Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1267320Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.1267389Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.1267620Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1267696Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1267937Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 236, in forward
2025-11-03T16:25:37.1268085Z     query_states = self.q_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-11-03T16:25:37.1268088Z 
2025-11-03T16:25:37.1268186Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.1268374Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.1268447Z     return mod(**inputs)
2025-11-03T16:25:37.1268652Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.1268733Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.1268977Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.1269069Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.1269285Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.1269357Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.1269604Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.1269674Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.1269890Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.1270011Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.1270236Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1270306Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1270540Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.1270621Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.1270847Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1270913Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1271155Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-11-03T16:25:37.1271304Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-11-03T16:25:37.1271585Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 138, in apply_rotary_pos_emb
2025-11-03T16:25:37.1271666Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-11-03T16:25:37.1271919Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-11-03T16:25:37.1271988Z     return torch.cat((-x2, x1), dim=-1)
2025-11-03T16:25:37.1272026Z 
2025-11-03T16:25:37.1272101Z cudagraph partition due to non gpu ops
2025-11-03T16:25:37.1272208Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.1272395Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.1272464Z     return mod(**inputs)
2025-11-03T16:25:37.1272668Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.1272743Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.1272985Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.1273078Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.1273288Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.1273358Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.1273594Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.1273672Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.1273878Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.1273962Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.1274187Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1274260Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1274493Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.1274561Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.1274795Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1274860Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1275101Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-11-03T16:25:37.1275249Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-11-03T16:25:37.1275518Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 138, in apply_rotary_pos_emb
2025-11-03T16:25:37.1275640Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-11-03T16:25:37.1275896Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-11-03T16:25:37.1275973Z     return torch.cat((-x2, x1), dim=-1)
2025-11-03T16:25:37.1275976Z 
2025-11-03T16:25:37.1276074Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.1276269Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.1276333Z     return mod(**inputs)
2025-11-03T16:25:37.1276538Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.1276618Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.1276856Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.1276960Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.1277166Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.1277237Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.1277483Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.1277552Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.1277799Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.1277874Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.1278102Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1278175Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1278411Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.1278493Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.1278719Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1278792Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1279027Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-11-03T16:25:37.1279166Z     key_states = self.k_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-11-03T16:25:37.1279169Z 
2025-11-03T16:25:37.1279276Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.1279461Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.1279531Z     return mod(**inputs)
2025-11-03T16:25:37.1279746Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.1279820Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.1280063Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.1280155Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.1280367Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.1280436Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.1280684Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.1280753Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.1280957Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.1281040Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.1281270Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1281374Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1281613Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.1281681Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.1281918Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1281981Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1282227Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-11-03T16:25:37.1282375Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-11-03T16:25:37.1282657Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 139, in apply_rotary_pos_emb
2025-11-03T16:25:37.1282740Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-11-03T16:25:37.1282992Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-11-03T16:25:37.1283073Z     return torch.cat((-x2, x1), dim=-1)
2025-11-03T16:25:37.1283076Z 
2025-11-03T16:25:37.1283149Z cudagraph partition due to non gpu ops
2025-11-03T16:25:37.1283254Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.1283466Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.1283531Z     return mod(**inputs)
2025-11-03T16:25:37.1283742Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.1283812Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.1284056Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.1284151Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.1284354Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.1284434Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.1284669Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.1284746Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.1284953Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.1285035Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.1285260Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1285324Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1285566Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.1285634Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.1285866Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1285931Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1286167Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-11-03T16:25:37.1286322Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-11-03T16:25:37.1286593Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 139, in apply_rotary_pos_emb
2025-11-03T16:25:37.1286682Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-11-03T16:25:37.1286927Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-11-03T16:25:37.1287034Z     return torch.cat((-x2, x1), dim=-1)
2025-11-03T16:25:37.1287037Z 
2025-11-03T16:25:37.1287135Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.1287320Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.1287388Z     return mod(**inputs)
2025-11-03T16:25:37.1287594Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.1287672Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.1287907Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.1287997Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.1288213Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.1288286Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.1288529Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.1288598Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.1288806Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.1288891Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.1289148Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1289224Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1289466Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.1289544Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.1289772Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1289838Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1290093Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 238, in forward
2025-11-03T16:25:37.1290231Z     value_states = self.v_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-11-03T16:25:37.1290234Z 
2025-11-03T16:25:37.1290316Z cudagraph partition due to non gpu ops
2025-11-03T16:25:37.1290417Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.1290601Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.1290671Z     return mod(**inputs)
2025-11-03T16:25:37.1290877Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.1290955Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.1291192Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.1291287Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.1291503Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.1291576Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.1291821Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.1291889Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.1292104Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.1292179Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.1292406Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1292519Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1292761Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.1292839Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.1293068Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1293131Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1293384Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 252, in forward
2025-11-03T16:25:37.1293482Z     attn_output, attn_weights = attention_interface(
2025-11-03T16:25:37.1293771Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/integrations/sdpa_attention.py", line 83, in sdpa_attention_forward
2025-11-03T16:25:37.1293899Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-11-03T16:25:37.1293902Z 
2025-11-03T16:25:37.1294013Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.1294197Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.1294259Z     return mod(**inputs)
2025-11-03T16:25:37.1294475Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.1294547Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.1294826Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.1294923Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.1295124Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.1295204Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.1295437Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.1295518Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.1295722Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.1295798Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.1296028Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1296092Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1296338Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.1296408Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.1296643Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1296706Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1296943Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 264, in forward
2025-11-03T16:25:37.1297030Z     attn_output = self.o_proj(attn_output)
2025-11-03T16:25:37.1297033Z 
2025-11-03T16:25:37.1297131Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.1297321Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.1297384Z     return mod(**inputs)
2025-11-03T16:25:37.1297586Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.1297666Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.1297903Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.1298000Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.1298204Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.1298309Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.1298543Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.1298612Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.1298827Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.1298905Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.1299148Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1299212Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1299445Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-11-03T16:25:37.1299528Z     hidden_states = self.mlp(hidden_states)
2025-11-03T16:25:37.1299765Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-11-03T16:25:37.1299909Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-11-03T16:25:37.1299912Z 
2025-11-03T16:25:37.1300008Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.1300198Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.1300261Z     return mod(**inputs)
2025-11-03T16:25:37.1300491Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.1300576Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.1300817Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.1300919Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.1301127Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.1301201Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.1301447Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.1301520Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.1301736Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.1301812Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.1302043Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1302119Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1302355Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-11-03T16:25:37.1302448Z     hidden_states = self.mlp(hidden_states)
2025-11-03T16:25:37.1302688Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-11-03T16:25:37.1302834Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-11-03T16:25:37.1302837Z 
2025-11-03T16:25:37.1302940Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.1303129Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.1303204Z     return mod(**inputs)
2025-11-03T16:25:37.1303410Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.1303494Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.1303730Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.1303824Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.1304070Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.1304142Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.1304383Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.1304452Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.1304660Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.1304743Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.1304968Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1305040Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1305278Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-11-03T16:25:37.1305364Z     hidden_states = self.mlp(hidden_states)
2025-11-03T16:25:37.1305599Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-11-03T16:25:37.1305734Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-11-03T16:25:37.1305737Z 
2025-11-03T16:25:37.1305844Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.1306057Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.1306128Z     return mod(**inputs)
2025-11-03T16:25:37.1306333Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.1306405Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.1306652Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.1306746Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.1306954Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.1307026Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.1307267Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.1307335Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.1307546Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.1307629Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.1307855Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1307927Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1308163Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-11-03T16:25:37.1308241Z     hidden_states = self.mlp(hidden_states)
2025-11-03T16:25:37.1308484Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-11-03T16:25:37.1308616Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-11-03T16:25:37.1308619Z 
2025-11-03T16:25:37.1308726Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.1308907Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.1308975Z     return mod(**inputs)
2025-11-03T16:25:37.1309179Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.1309250Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.1309491Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.1309611Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.1309819Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.1309889Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.1310121Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.1310198Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.1310404Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.1310484Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.1310712Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1310775Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1311017Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.1311086Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.1311316Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1311379Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1311642Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 236, in forward
2025-11-03T16:25:37.1311782Z     query_states = self.q_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-11-03T16:25:37.1311786Z 
2025-11-03T16:25:37.1311882Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.1312070Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.1312131Z     return mod(**inputs)
2025-11-03T16:25:37.1312343Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.1312417Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.1312650Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.1312750Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.1312958Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.1313037Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.1313271Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.1313345Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.1313552Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.1313628Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.1313861Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1313927Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1314170Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.1314240Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.1314465Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1314538Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1314775Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-11-03T16:25:37.1314933Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-11-03T16:25:37.1315207Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 138, in apply_rotary_pos_emb
2025-11-03T16:25:37.1315328Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-11-03T16:25:37.1315587Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-11-03T16:25:37.1315657Z     return torch.cat((-x2, x1), dim=-1)
2025-11-03T16:25:37.1315660Z 
2025-11-03T16:25:37.1315748Z cudagraph partition due to non gpu ops
2025-11-03T16:25:37.1315845Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.1316037Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.1316098Z     return mod(**inputs)
2025-11-03T16:25:37.1316303Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.1316381Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.1316629Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.1316728Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.1316934Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.1317004Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.1317281Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.1317350Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.1317571Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.1317646Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.1317875Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1317950Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1318189Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.1318267Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.1318495Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1318567Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1318808Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-11-03T16:25:37.1318958Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-11-03T16:25:37.1319239Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 138, in apply_rotary_pos_emb
2025-11-03T16:25:37.1319321Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-11-03T16:25:37.1319583Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-11-03T16:25:37.1319654Z     return torch.cat((-x2, x1), dim=-1)
2025-11-03T16:25:37.1319657Z 
2025-11-03T16:25:37.1319763Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.1319952Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.1320013Z     return mod(**inputs)
2025-11-03T16:25:37.1320230Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.1320301Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.1320546Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.1320638Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.1320844Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.1320951Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.1321187Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.1321266Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.1321473Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.1321550Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.1321787Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1321851Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1322094Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.1322165Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.1322403Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1322467Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1322707Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-11-03T16:25:37.1322848Z     key_states = self.k_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-11-03T16:25:37.1322854Z 
2025-11-03T16:25:37.1322977Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.1323166Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.1323228Z     return mod(**inputs)
2025-11-03T16:25:37.1323433Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.1323514Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.1323753Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.1323853Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.1324058Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.1324129Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.1324373Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.1324444Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.1324659Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.1324734Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.1324968Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1325036Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1325272Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.1325352Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.1325580Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1325649Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1325885Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-11-03T16:25:37.1326035Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-11-03T16:25:37.1326312Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 139, in apply_rotary_pos_emb
2025-11-03T16:25:37.1326393Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-11-03T16:25:37.1326676Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-11-03T16:25:37.1326747Z     return torch.cat((-x2, x1), dim=-1)
2025-11-03T16:25:37.1326750Z 
2025-11-03T16:25:37.1326831Z cudagraph partition due to non gpu ops
2025-11-03T16:25:37.1326927Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.1327110Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.1327181Z     return mod(**inputs)
2025-11-03T16:25:37.1327382Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.1327461Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.1327694Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.1327786Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.1328005Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.1328076Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.1328317Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.1328385Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.1328623Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.1328710Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.1328935Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1329008Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1329243Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.1329321Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.1329548Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1329615Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1329859Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-11-03T16:25:37.1330011Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-11-03T16:25:37.1330295Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 139, in apply_rotary_pos_emb
2025-11-03T16:25:37.1330375Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-11-03T16:25:37.1330621Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-11-03T16:25:37.1330701Z     return torch.cat((-x2, x1), dim=-1)
2025-11-03T16:25:37.1330706Z 
2025-11-03T16:25:37.1330805Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.1330999Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.1331060Z     return mod(**inputs)
2025-11-03T16:25:37.1331272Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.1331343Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.1331579Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.1331682Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.1331886Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.1331963Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.1332193Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.1332295Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.1332510Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.1332583Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.1332817Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1332882Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1333125Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.1333201Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.1333427Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1333502Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1333738Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 238, in forward
2025-11-03T16:25:37.1333883Z     value_states = self.v_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-11-03T16:25:37.1333886Z 
2025-11-03T16:25:37.1333960Z cudagraph partition due to non gpu ops
2025-11-03T16:25:37.1334059Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.1334287Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.1334352Z     return mod(**inputs)
2025-11-03T16:25:37.1334564Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.1334632Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.1334866Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.1334970Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.1335172Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.1335254Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.1335489Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.1335565Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.1335774Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.1335848Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.1336083Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1336147Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1336390Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.1336460Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.1336684Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1336755Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1336988Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 252, in forward
2025-11-03T16:25:37.1337095Z     attn_output, attn_weights = attention_interface(
2025-11-03T16:25:37.1337366Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/integrations/sdpa_attention.py", line 83, in sdpa_attention_forward
2025-11-03T16:25:37.1337490Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-11-03T16:25:37.1337499Z 
2025-11-03T16:25:37.1337596Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.1337780Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.1337889Z     return mod(**inputs)
2025-11-03T16:25:37.1338095Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.1338172Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.1338411Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.1338505Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.1338725Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.1338795Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.1339043Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.1339112Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.1339330Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.1339413Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.1339644Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1339719Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1339985Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-11-03T16:25:37.1340056Z     hidden_states, _ = self.self_attn(
2025-11-03T16:25:37.1340286Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1340350Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1340590Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 264, in forward
2025-11-03T16:25:37.1340668Z     attn_output = self.o_proj(attn_output)
2025-11-03T16:25:37.1340671Z 
2025-11-03T16:25:37.1340776Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.1340961Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.1341020Z     return mod(**inputs)
2025-11-03T16:25:37.1341228Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.1341301Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.1341543Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.1341634Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.1341844Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.1341922Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.1342160Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.1342237Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.1342444Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.1342526Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.1342752Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1342816Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1343059Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-11-03T16:25:37.1343135Z     hidden_states = residual + hidden_states
2025-11-03T16:25:37.1343138Z 
2025-11-03T16:25:37.1343245Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.1343461Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.1343521Z     return mod(**inputs)
2025-11-03T16:25:37.1343733Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.1343802Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.1344044Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.1344137Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.1344342Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.1344419Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.1344654Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.1344730Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.1344948Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.1345030Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.1345258Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1345323Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1345598Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-11-03T16:25:37.1345675Z     hidden_states = self.mlp(hidden_states)
2025-11-03T16:25:37.1345918Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-11-03T16:25:37.1346053Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-11-03T16:25:37.1346056Z 
2025-11-03T16:25:37.1346152Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.1346345Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.1346406Z     return mod(**inputs)
2025-11-03T16:25:37.1346616Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.1346685Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.1346929Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.1347020Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.1347227Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.1347307Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.1347541Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.1347621Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.1347828Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.1347901Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.1348136Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1348200Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1348447Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-11-03T16:25:37.1348520Z     hidden_states = self.mlp(hidden_states)
2025-11-03T16:25:37.1348752Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-11-03T16:25:37.1348896Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-11-03T16:25:37.1348933Z 
2025-11-03T16:25:37.1349032Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.1349225Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.1349289Z     return mod(**inputs)
2025-11-03T16:25:37.1349498Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.1349568Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.1349806Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.1349909Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.1350110Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.1350192Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.1350425Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.1350496Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.1350709Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.1350785Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.1351024Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1351116Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1351361Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-11-03T16:25:37.1351437Z     hidden_states = self.mlp(hidden_states)
2025-11-03T16:25:37.1351671Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-11-03T16:25:37.1351812Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-11-03T16:25:37.1351818Z 
2025-11-03T16:25:37.1351919Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.1352109Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.1352170Z     return mod(**inputs)
2025-11-03T16:25:37.1352372Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.1352454Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.1352686Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-11-03T16:25:37.1352786Z     outputs: BaseModelOutputWithPast = self.model(
2025-11-03T16:25:37.1352988Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-11-03T16:25:37.1353066Z     outputs = func(self, *args, **kwargs)
2025-11-03T16:25:37.1353302Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-11-03T16:25:37.1353369Z     hidden_states = decoder_layer(
2025-11-03T16:25:37.1353625Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-11-03T16:25:37.1353702Z     return super().__call__(*args, **kwargs)
2025-11-03T16:25:37.1353943Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-11-03T16:25:37.1354008Z     return func(*args, **kwargs)
2025-11-03T16:25:37.1354246Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-11-03T16:25:37.1354330Z     hidden_states = self.mlp(hidden_states)
2025-11-03T16:25:37.1354565Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-11-03T16:25:37.1354757Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-11-03T16:25:37.1354760Z 
2025-11-03T16:25:37.1354859Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:25:37.1355051Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 458, in forward_pass
2025-11-03T16:25:37.1355115Z     return mod(**inputs)
2025-11-03T16:25:37.1355319Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-11-03T16:25:37.1355399Z     output = func(self, *args, **kwargs)
2025-11-03T16:25:37.1355635Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 473, in forward
2025-11-03T16:25:37.1355752Z     logits = self.lm_head(hidden_states[:, slice_indices, :])
2025-11-03T16:25:37.1355755Z 
2025-11-03T16:25:54.0473004Z 
2025-11-03T16:25:55.5515102Z running benchmark:   0% 0/50 [00:00<?, ?it/s]
2025-11-03T16:25:57.0291682Z running benchmark:   2% 1/50 [00:01<01:13,  1.50s/it]
2025-11-03T16:25:58.5124851Z running benchmark:   4% 2/50 [00:02<01:11,  1.49s/it]
2025-11-03T16:25:59.9880950Z running benchmark:   6% 3/50 [00:04<01:09,  1.49s/it]
2025-11-03T16:26:01.4702828Z running benchmark:   8% 4/50 [00:05<01:08,  1.48s/it]
2025-11-03T16:26:02.9527092Z running benchmark:  10% 5/50 [00:07<01:06,  1.48s/it]
2025-11-03T16:26:04.4352539Z running benchmark:  12% 6/50 [00:08<01:05,  1.48s/it]
2025-11-03T16:26:05.9179350Z running benchmark:  14% 7/50 [00:10<01:03,  1.48s/it]
2025-11-03T16:26:07.3909661Z running benchmark:  16% 8/50 [00:11<01:02,  1.48s/it]
2025-11-03T16:26:08.8698626Z running benchmark:  18% 9/50 [00:13<01:00,  1.48s/it]
2025-11-03T16:26:10.3511580Z running benchmark:  20% 10/50 [00:14<00:59,  1.48s/it]
2025-11-03T16:26:11.8209538Z running benchmark:  22% 11/50 [00:16<00:57,  1.48s/it]
2025-11-03T16:26:13.3013702Z running benchmark:  24% 12/50 [00:17<00:56,  1.48s/it]
2025-11-03T16:26:14.7848803Z running benchmark:  26% 13/50 [00:19<00:54,  1.48s/it]
2025-11-03T16:26:16.2657811Z running benchmark:  28% 14/50 [00:20<00:53,  1.48s/it]
2025-11-03T16:26:17.7498576Z running benchmark:  30% 15/50 [00:22<00:51,  1.48s/it]
2025-11-03T16:26:19.2273529Z running benchmark:  32% 16/50 [00:23<00:50,  1.48s/it]
2025-11-03T16:26:20.7121465Z running benchmark:  34% 17/50 [00:25<00:48,  1.48s/it]
2025-11-03T16:26:22.2008253Z running benchmark:  36% 18/50 [00:26<00:47,  1.48s/it]
2025-11-03T16:26:23.6727574Z running benchmark:  38% 19/50 [00:28<00:45,  1.48s/it]
2025-11-03T16:26:25.1532037Z running benchmark:  40% 20/50 [00:29<00:44,  1.48s/it]
2025-11-03T16:26:26.6400491Z running benchmark:  42% 21/50 [00:31<00:42,  1.48s/it]
2025-11-03T16:26:28.1201129Z running benchmark:  44% 22/50 [00:32<00:41,  1.48s/it]
2025-11-03T16:26:29.6018257Z running benchmark:  46% 23/50 [00:34<00:40,  1.48s/it]
2025-11-03T16:26:31.0894509Z running benchmark:  48% 24/50 [00:35<00:38,  1.48s/it]
2025-11-03T16:26:32.5827596Z running benchmark:  50% 25/50 [00:37<00:37,  1.48s/it]
2025-11-03T16:26:34.0631318Z running benchmark:  52% 26/50 [00:38<00:35,  1.49s/it]
2025-11-03T16:26:35.5372548Z running benchmark:  54% 27/50 [00:40<00:34,  1.48s/it]
2025-11-03T16:26:37.0244903Z running benchmark:  56% 28/50 [00:41<00:32,  1.48s/it]
2025-11-03T16:26:38.5094816Z running benchmark:  58% 29/50 [00:42<00:31,  1.48s/it]
2025-11-03T16:26:39.9920152Z running benchmark:  60% 30/50 [00:44<00:29,  1.48s/it]
2025-11-03T16:26:41.4777178Z running benchmark:  62% 31/50 [00:45<00:28,  1.48s/it]
2025-11-03T16:26:42.9610314Z running benchmark:  64% 32/50 [00:47<00:26,  1.48s/it]
2025-11-03T16:26:44.4489026Z running benchmark:  66% 33/50 [00:48<00:25,  1.48s/it]
2025-11-03T16:26:45.9300514Z running benchmark:  68% 34/50 [00:50<00:23,  1.49s/it]
2025-11-03T16:26:47.4093015Z running benchmark:  70% 35/50 [00:51<00:22,  1.48s/it]
2025-11-03T16:26:48.8928605Z running benchmark:  72% 36/50 [00:53<00:20,  1.48s/it]
2025-11-03T16:26:50.3867473Z running benchmark:  74% 37/50 [00:54<00:19,  1.48s/it]
2025-11-03T16:26:51.8648257Z running benchmark:  76% 38/50 [00:56<00:17,  1.49s/it]
2025-11-03T16:26:53.3494703Z running benchmark:  78% 39/50 [00:57<00:16,  1.48s/it]
2025-11-03T16:26:54.8358919Z running benchmark:  80% 40/50 [00:59<00:14,  1.48s/it]
2025-11-03T16:26:56.3263953Z running benchmark:  82% 41/50 [01:00<00:13,  1.48s/it]
2025-11-03T16:26:57.8091508Z running benchmark:  84% 42/50 [01:02<00:11,  1.49s/it]
2025-11-03T16:26:59.2831939Z running benchmark:  86% 43/50 [01:03<00:10,  1.49s/it]
2025-11-03T16:27:00.7718765Z running benchmark:  88% 44/50 [01:05<00:08,  1.48s/it]
2025-11-03T16:27:02.2541569Z running benchmark:  90% 45/50 [01:06<00:07,  1.48s/it]
2025-11-03T16:27:03.7278517Z running benchmark:  92% 46/50 [01:08<00:05,  1.48s/it]
2025-11-03T16:27:05.2174119Z running benchmark:  94% 47/50 [01:09<00:04,  1.48s/it]
2025-11-03T16:27:06.7047508Z running benchmark:  96% 48/50 [01:11<00:02,  1.48s/it]
2025-11-03T16:27:08.1946321Z running benchmark:  98% 49/50 [01:12<00:01,  1.48s/it]
2025-11-03T16:27:08.1946980Z running benchmark: 100% 50/50 [01:14<00:00,  1.49s/it]
2025-11-03T16:27:08.1947466Z running benchmark: 100% 50/50 [01:14<00:00,  1.48s/it]
2025-11-03T16:27:08.2177003Z 1.339x
2025-11-03T16:27:08.2177447Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:27:10.1847253Z + cat /var/lib/jenkins/workspace/test/test-reports/inductor_inference_llama_v2_7b_16h_inductor_float32_dynamic_cpu_smoketest.csv
2025-11-03T16:27:10.1861539Z dev,name,batch_size,speedup,abs_latency,compilation_latency,compression_ratio,eager_peak_mem,dynamo_peak_mem,calls_captured,unique_graphs,graph_breaks,unique_graph_breaks,autograd_captures,autograd_compiles,cudagraph_skips
2025-11-03T16:27:10.1862223Z cpu,llama_v2_7b_16h,1,1.339358,633.790157,20.267282,0.955700,4497.393664,4705.861222,951,1,0,0,0,0,1
2025-11-03T16:27:10.1863234Z + python benchmarks/dynamo/check_perf_csv.py -f /var/lib/jenkins/workspace/test/test-reports/inductor_inference_llama_v2_7b_16h_inductor_float32_dynamic_cpu_smoketest.csv -t 1.23234331 -s 0.99
2025-11-03T16:27:10.4315128Z llama_v2_7b_16h                    1.339358
2025-11-03T16:27:10.4705447Z + IFS=,
2025-11-03T16:27:10.4705725Z + read -r -a model_cfg
2025-11-03T16:27:10.4705984Z + local model_name=resnet50
2025-11-03T16:27:10.4706227Z + local data_type=float32
2025-11-03T16:27:10.4706475Z + local speedup_target=1.67742767
2025-11-03T16:27:10.4707058Z + local backend=inductor
2025-11-03T16:27:10.4707378Z + [[ default == \c\p\p ]]
2025-11-03T16:27:10.4707640Z + unset TORCHINDUCTOR_CPP_WRAPPER
2025-11-03T16:27:10.4708161Z + local output_name=/var/lib/jenkins/workspace/test/test-reports/inductor_inference_resnet50_inductor_float32_dynamic_cpu_smoketest.csv
2025-11-03T16:27:10.4708639Z + [[ dynamic == \d\y\n\a\m\i\c ]]
2025-11-03T16:27:10.4709575Z + taskset -c 0-93 python benchmarks/dynamo/torchbench.py --inference --performance --float32 -dcpu -n50 --only resnet50 --dynamic-shapes --dynamic-batch-only --freezing --timeout 9000 --inductor --output /var/lib/jenkins/workspace/test/test-reports/inductor_inference_resnet50_inductor_float32_dynamic_cpu_smoketest.csv
2025-11-03T16:27:10.7561898Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-11-03T16:27:10.7563369Z   import pynvml  # type: ignore[import]
2025-11-03T16:27:12.4687055Z 
2025-11-03T16:27:12.7440595Z loading model: 0it [00:00, ?it/s]Downloading: "https://download.pytorch.org/models/resnet50-0676ba61.pth" to /var/lib/jenkins/.cache/torch/hub/checkpoints/resnet50-0676ba61.pth
2025-11-03T16:27:12.7599814Z 
2025-11-03T16:27:12.7600054Z 
2025-11-03T16:27:12.8600304Z   0% 0.00/97.8M [00:00<?, ?B/s]
2025-11-03T16:27:12.8600470Z 
2025-11-03T16:27:12.9558075Z  52% 50.5M/97.8M [00:00<00:00, 529MB/s]
2025-11-03T16:27:12.9558383Z 100% 97.8M/97.8M [00:00<00:00, 524MB/s]
2025-11-03T16:27:13.3872917Z 
2025-11-03T16:27:13.3873395Z loading model: 0it [00:00, ?it/s]
2025-11-03T16:27:13.3879366Z cpu  eval  resnet50                           
2025-11-03T16:27:21.4453919Z cudagraph partition due to non gpu ops
2025-11-03T16:27:21.4454270Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:21.4454651Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:21.4454994Z     return mod(*inputs)
2025-11-03T16:27:21.4455403Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:27:21.4455759Z     return self._forward_impl(x)
2025-11-03T16:27:21.4456100Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 270, in _forward_impl
2025-11-03T16:27:21.4456446Z     x = self.relu(x)
2025-11-03T16:27:21.4456559Z 
2025-11-03T16:27:21.4456663Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:21.4457031Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:21.4457330Z     return mod(*inputs)
2025-11-03T16:27:21.4457646Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:27:21.4457981Z     return self._forward_impl(x)
2025-11-03T16:27:21.4458321Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 270, in _forward_impl
2025-11-03T16:27:21.4458925Z     x = self.relu(x)
2025-11-03T16:27:21.4459043Z 
2025-11-03T16:27:21.4459141Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:21.4459493Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:21.4459797Z     return mod(*inputs)
2025-11-03T16:27:21.4460102Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:27:21.4460577Z     return self._forward_impl(x)
2025-11-03T16:27:21.4460901Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 271, in _forward_impl
2025-11-03T16:27:21.4461241Z     x = self.maxpool(x)
2025-11-03T16:27:21.4461339Z 
2025-11-03T16:27:21.4461439Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:21.4461780Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:21.4462070Z     return mod(*inputs)
2025-11-03T16:27:21.4462375Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:27:21.4462707Z     return self._forward_impl(x)
2025-11-03T16:27:21.4463042Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-11-03T16:27:21.4463375Z     x = self.layer1(x)
2025-11-03T16:27:21.4463668Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-11-03T16:27:21.4463992Z     out = self.relu(out)
2025-11-03T16:27:21.4464093Z 
2025-11-03T16:27:21.4464197Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:21.4464533Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:21.4464826Z     return mod(*inputs)
2025-11-03T16:27:21.4465129Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:27:21.4465452Z     return self._forward_impl(x)
2025-11-03T16:27:21.4465783Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-11-03T16:27:21.4466112Z     x = self.layer1(x)
2025-11-03T16:27:21.4466407Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-11-03T16:27:21.4466731Z     out = self.relu(out)
2025-11-03T16:27:21.4466938Z 
2025-11-03T16:27:21.4467041Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:21.4467383Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:21.4467677Z     return mod(*inputs)
2025-11-03T16:27:21.4467984Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:27:21.4468317Z     return self._forward_impl(x)
2025-11-03T16:27:21.4468658Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-11-03T16:27:21.4469000Z     x = self.layer1(x)
2025-11-03T16:27:21.4481779Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-11-03T16:27:21.4482214Z     out = self.relu(out)
2025-11-03T16:27:21.4482340Z 
2025-11-03T16:27:21.4482451Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:21.4482818Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:21.4483150Z     return mod(*inputs)
2025-11-03T16:27:21.4483477Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:27:21.4483816Z     return self._forward_impl(x)
2025-11-03T16:27:21.4484165Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-11-03T16:27:21.4484615Z     x = self.layer1(x)
2025-11-03T16:27:21.4484933Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-11-03T16:27:21.4485258Z     out = self.relu(out)
2025-11-03T16:27:21.4485370Z 
2025-11-03T16:27:21.4485472Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:21.4485827Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:21.4486140Z     return mod(*inputs)
2025-11-03T16:27:21.4486444Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:27:21.4486774Z     return self._forward_impl(x)
2025-11-03T16:27:21.4487109Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-11-03T16:27:21.4487449Z     x = self.layer1(x)
2025-11-03T16:27:21.4487754Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-11-03T16:27:21.4488067Z     out = self.relu(out)
2025-11-03T16:27:21.4488176Z 
2025-11-03T16:27:21.4488277Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:21.4488621Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:21.4488923Z     return mod(*inputs)
2025-11-03T16:27:21.4489213Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:27:21.4489537Z     return self._forward_impl(x)
2025-11-03T16:27:21.4489859Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-11-03T16:27:21.4490197Z     x = self.layer1(x)
2025-11-03T16:27:21.4490495Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-11-03T16:27:21.4490809Z     out = self.relu(out)
2025-11-03T16:27:21.4490913Z 
2025-11-03T16:27:21.4490996Z cudagraph partition due to non gpu ops
2025-11-03T16:27:21.4491229Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:21.4491569Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:21.4491864Z     return mod(*inputs)
2025-11-03T16:27:21.4492167Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:27:21.4492493Z     return self._forward_impl(x)
2025-11-03T16:27:21.4492875Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-11-03T16:27:21.4493213Z     x = self.layer1(x)
2025-11-03T16:27:21.4493503Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-11-03T16:27:21.4493827Z     out = self.relu(out)
2025-11-03T16:27:21.4493932Z 
2025-11-03T16:27:21.4494029Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:21.4494369Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:21.4494664Z     return mod(*inputs)
2025-11-03T16:27:21.4494970Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:27:21.4495298Z     return self._forward_impl(x)
2025-11-03T16:27:21.4495633Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-11-03T16:27:21.4495970Z     x = self.layer1(x)
2025-11-03T16:27:21.4496265Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-11-03T16:27:21.4496592Z     out = self.relu(out)
2025-11-03T16:27:21.4496699Z 
2025-11-03T16:27:21.4496799Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:21.4497140Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:21.4497466Z     return mod(*inputs)
2025-11-03T16:27:21.4497779Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:27:21.4498107Z     return self._forward_impl(x)
2025-11-03T16:27:21.4498438Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-11-03T16:27:21.4498774Z     x = self.layer1(x)
2025-11-03T16:27:21.4499069Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-11-03T16:27:21.4499396Z     out = self.relu(out)
2025-11-03T16:27:21.4499503Z 
2025-11-03T16:27:21.4499600Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:21.4499936Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:21.4500227Z     return mod(*inputs)
2025-11-03T16:27:21.4500534Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:27:21.4500861Z     return self._forward_impl(x)
2025-11-03T16:27:21.4501192Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-11-03T16:27:21.4501523Z     x = self.layer1(x)
2025-11-03T16:27:21.4501812Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-11-03T16:27:21.4502131Z     out = self.relu(out)
2025-11-03T16:27:21.4502242Z 
2025-11-03T16:27:21.4502320Z cudagraph partition due to non gpu ops
2025-11-03T16:27:21.4502552Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:21.4502879Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:21.4503182Z     return mod(*inputs)
2025-11-03T16:27:21.4503487Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:27:21.4503815Z     return self._forward_impl(x)
2025-11-03T16:27:21.4504144Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-11-03T16:27:21.4504476Z     x = self.layer1(x)
2025-11-03T16:27:21.4504774Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-11-03T16:27:21.4505093Z     out = self.relu(out)
2025-11-03T16:27:21.4505189Z 
2025-11-03T16:27:21.4505329Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:21.4505655Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:21.4505953Z     return mod(*inputs)
2025-11-03T16:27:21.4506254Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:27:21.4506579Z     return self._forward_impl(x)
2025-11-03T16:27:21.4506912Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-11-03T16:27:21.4507238Z     x = self.layer1(x)
2025-11-03T16:27:21.4507536Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-11-03T16:27:21.4507856Z     out = self.relu(out)
2025-11-03T16:27:21.4507952Z 
2025-11-03T16:27:21.4508056Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:21.4508386Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:21.4508691Z     return mod(*inputs)
2025-11-03T16:27:21.4508990Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:27:21.4509318Z     return self._forward_impl(x)
2025-11-03T16:27:21.4509648Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-11-03T16:27:21.4509973Z     x = self.layer1(x)
2025-11-03T16:27:21.4510849Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-11-03T16:27:21.4511180Z     out = self.relu(out)
2025-11-03T16:27:21.4511280Z 
2025-11-03T16:27:21.4511389Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:21.4511724Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:21.4512035Z     return mod(*inputs)
2025-11-03T16:27:21.4512354Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:27:21.4512688Z     return self._forward_impl(x)
2025-11-03T16:27:21.4513023Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-11-03T16:27:21.4513351Z     x = self.layer1(x)
2025-11-03T16:27:21.4513653Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-11-03T16:27:21.4513982Z     out = self.relu(out)
2025-11-03T16:27:21.4514079Z 
2025-11-03T16:27:21.4514164Z cudagraph partition due to non gpu ops
2025-11-03T16:27:21.4514382Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:21.4514724Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:21.4515026Z     return mod(*inputs)
2025-11-03T16:27:21.4515331Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:27:21.4515662Z     return self._forward_impl(x)
2025-11-03T16:27:21.4515987Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-11-03T16:27:21.4516325Z     x = self.layer2(x)
2025-11-03T16:27:21.4516631Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-11-03T16:27:21.4516955Z     out = self.relu(out)
2025-11-03T16:27:21.4517053Z 
2025-11-03T16:27:21.4517151Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:21.4517493Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:21.4517797Z     return mod(*inputs)
2025-11-03T16:27:21.4518099Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:27:21.4518428Z     return self._forward_impl(x)
2025-11-03T16:27:21.4518787Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-11-03T16:27:21.4519121Z     x = self.layer2(x)
2025-11-03T16:27:21.4519421Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-11-03T16:27:21.4519744Z     out = self.relu(out)
2025-11-03T16:27:21.4519844Z 
2025-11-03T16:27:21.4519939Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:21.4520282Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:21.4520579Z     return mod(*inputs)
2025-11-03T16:27:21.4520879Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:27:21.4521203Z     return self._forward_impl(x)
2025-11-03T16:27:21.4521526Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-11-03T16:27:21.4521863Z     x = self.layer2(x)
2025-11-03T16:27:21.4522161Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-11-03T16:27:21.4522481Z     out = self.relu(out)
2025-11-03T16:27:21.4522578Z 
2025-11-03T16:27:21.4522674Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:21.4523010Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:21.4523309Z     return mod(*inputs)
2025-11-03T16:27:21.4523643Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:27:21.4523969Z     return self._forward_impl(x)
2025-11-03T16:27:21.4524292Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-11-03T16:27:21.4524635Z     x = self.layer2(x)
2025-11-03T16:27:21.4524934Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-11-03T16:27:21.4525263Z     out = self.relu(out)
2025-11-03T16:27:21.4525360Z 
2025-11-03T16:27:21.4525460Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:21.4525798Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:21.4526102Z     return mod(*inputs)
2025-11-03T16:27:21.4526408Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:27:21.4526739Z     return self._forward_impl(x)
2025-11-03T16:27:21.4527060Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-11-03T16:27:21.4527397Z     x = self.layer2(x)
2025-11-03T16:27:21.4527697Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-11-03T16:27:21.4528018Z     out = self.relu(out)
2025-11-03T16:27:21.4528118Z 
2025-11-03T16:27:21.4528214Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:21.4528561Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:21.4528862Z     return mod(*inputs)
2025-11-03T16:27:21.4529166Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:27:21.4529499Z     return self._forward_impl(x)
2025-11-03T16:27:21.4529828Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-11-03T16:27:21.4530162Z     x = self.layer2(x)
2025-11-03T16:27:21.4530473Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-11-03T16:27:21.4530785Z     out = self.relu(out)
2025-11-03T16:27:21.4530890Z 
2025-11-03T16:27:21.4530966Z cudagraph partition due to non gpu ops
2025-11-03T16:27:21.4531194Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:21.4531566Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:21.4531863Z     return mod(*inputs)
2025-11-03T16:27:21.4532168Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:27:21.4532499Z     return self._forward_impl(x)
2025-11-03T16:27:21.4532834Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-11-03T16:27:21.4533171Z     x = self.layer2(x)
2025-11-03T16:27:21.4533463Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-11-03T16:27:21.4533782Z     out = self.relu(out)
2025-11-03T16:27:21.4533887Z 
2025-11-03T16:27:21.4533985Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:21.4534328Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:21.4534631Z     return mod(*inputs)
2025-11-03T16:27:21.4534940Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:27:21.4535271Z     return self._forward_impl(x)
2025-11-03T16:27:21.4535610Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-11-03T16:27:21.4535956Z     x = self.layer2(x)
2025-11-03T16:27:21.4536278Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-11-03T16:27:21.4536606Z     out = self.relu(out)
2025-11-03T16:27:21.4536713Z 
2025-11-03T16:27:21.4536812Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:21.4537154Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:21.4537447Z     return mod(*inputs)
2025-11-03T16:27:21.4537754Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:27:21.4538091Z     return self._forward_impl(x)
2025-11-03T16:27:21.4538426Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-11-03T16:27:21.4538766Z     x = self.layer2(x)
2025-11-03T16:27:21.4539062Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-11-03T16:27:21.4539389Z     out = self.relu(out)
2025-11-03T16:27:21.4539496Z 
2025-11-03T16:27:21.4539593Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:21.4539935Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:21.4540230Z     return mod(*inputs)
2025-11-03T16:27:21.4540532Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:27:21.4540861Z     return self._forward_impl(x)
2025-11-03T16:27:21.4541199Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-11-03T16:27:21.4541535Z     x = self.layer2(x)
2025-11-03T16:27:21.4541824Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-11-03T16:27:21.4542148Z     out = self.relu(out)
2025-11-03T16:27:21.4542257Z 
2025-11-03T16:27:21.4542333Z cudagraph partition due to non gpu ops
2025-11-03T16:27:21.4542563Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:21.4542897Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:21.4543197Z     return mod(*inputs)
2025-11-03T16:27:21.4543502Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:27:21.4543828Z     return self._forward_impl(x)
2025-11-03T16:27:21.4544159Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-11-03T16:27:21.4544516Z     x = self.layer2(x)
2025-11-03T16:27:21.4544814Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-11-03T16:27:21.4545134Z     out = self.relu(out)
2025-11-03T16:27:21.4545232Z 
2025-11-03T16:27:21.4545335Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:21.4545663Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:21.4545964Z     return mod(*inputs)
2025-11-03T16:27:21.4546268Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:27:21.4546594Z     return self._forward_impl(x)
2025-11-03T16:27:21.4546924Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-11-03T16:27:21.4547251Z     x = self.layer2(x)
2025-11-03T16:27:21.4547553Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-11-03T16:27:21.4547878Z     out = self.relu(out)
2025-11-03T16:27:21.4547976Z 
2025-11-03T16:27:21.4548079Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:21.4548408Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:21.4548710Z     return mod(*inputs)
2025-11-03T16:27:21.4549042Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:27:21.4549378Z     return self._forward_impl(x)
2025-11-03T16:27:21.4549706Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-11-03T16:27:21.4550030Z     x = self.layer2(x)
2025-11-03T16:27:21.4550328Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-11-03T16:27:21.4550654Z     out = self.relu(out)
2025-11-03T16:27:21.4550751Z 
2025-11-03T16:27:21.4550858Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:21.4551196Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:21.4551498Z     return mod(*inputs)
2025-11-03T16:27:21.4551802Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:27:21.4552134Z     return self._forward_impl(x)
2025-11-03T16:27:21.4552469Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-11-03T16:27:21.4552794Z     x = self.layer2(x)
2025-11-03T16:27:21.4553093Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-11-03T16:27:21.4553421Z     out = self.relu(out)
2025-11-03T16:27:21.4553519Z 
2025-11-03T16:27:21.4553671Z cudagraph partition due to non gpu ops
2025-11-03T16:27:21.4553901Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:21.4554255Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:21.4554556Z     return mod(*inputs)
2025-11-03T16:27:21.4554865Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:27:21.4555193Z     return self._forward_impl(x)
2025-11-03T16:27:21.4555520Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-11-03T16:27:21.4555852Z     x = self.layer2(x)
2025-11-03T16:27:21.4556155Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-11-03T16:27:21.4556477Z     out = self.relu(out)
2025-11-03T16:27:21.4556574Z 
2025-11-03T16:27:21.4556671Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:21.4557089Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:21.4557391Z     return mod(*inputs)
2025-11-03T16:27:21.4557696Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:27:21.4558026Z     return self._forward_impl(x)
2025-11-03T16:27:21.4558352Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-11-03T16:27:21.4558690Z     x = self.layer2(x)
2025-11-03T16:27:21.4558991Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-11-03T16:27:21.4559316Z     out = self.relu(out)
2025-11-03T16:27:21.4559413Z 
2025-11-03T16:27:21.4559512Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:21.4559854Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:21.4560160Z     return mod(*inputs)
2025-11-03T16:27:21.4560462Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:27:21.4560789Z     return self._forward_impl(x)
2025-11-03T16:27:21.4561113Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-11-03T16:27:21.4561443Z     x = self.layer2(x)
2025-11-03T16:27:21.4561792Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-11-03T16:27:21.4562117Z     out = self.relu(out)
2025-11-03T16:27:21.4562215Z 
2025-11-03T16:27:21.4562311Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:21.4562649Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:21.4562952Z     return mod(*inputs)
2025-11-03T16:27:21.4563258Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:27:21.4563589Z     return self._forward_impl(x)
2025-11-03T16:27:21.4563914Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-11-03T16:27:21.4564248Z     x = self.layer2(x)
2025-11-03T16:27:21.4564551Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-11-03T16:27:21.4564875Z     out = self.relu(out)
2025-11-03T16:27:21.4564974Z 
2025-11-03T16:27:21.4565055Z cudagraph partition due to non gpu ops
2025-11-03T16:27:21.4565285Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:21.4565627Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:21.4565928Z     return mod(*inputs)
2025-11-03T16:27:21.4566228Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:27:21.4566553Z     return self._forward_impl(x)
2025-11-03T16:27:21.4566886Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-11-03T16:27:21.4567222Z     x = self.layer3(x)
2025-11-03T16:27:21.4567520Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-11-03T16:27:21.4567835Z     out = self.relu(out)
2025-11-03T16:27:21.4567943Z 
2025-11-03T16:27:21.4568044Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:21.4568381Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:21.4568680Z     return mod(*inputs)
2025-11-03T16:27:21.4568983Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:27:21.4569302Z     return self._forward_impl(x)
2025-11-03T16:27:21.4569635Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-11-03T16:27:21.4570002Z     x = self.layer3(x)
2025-11-03T16:27:21.4570304Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-11-03T16:27:21.4570620Z     out = self.relu(out)
2025-11-03T16:27:21.4570728Z 
2025-11-03T16:27:21.4570825Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:21.4571164Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:21.4571470Z     return mod(*inputs)
2025-11-03T16:27:21.4571781Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:27:21.4572114Z     return self._forward_impl(x)
2025-11-03T16:27:21.4572450Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-11-03T16:27:21.4572784Z     x = self.layer3(x)
2025-11-03T16:27:21.4573086Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-11-03T16:27:21.4573403Z     out = self.relu(out)
2025-11-03T16:27:21.4573508Z 
2025-11-03T16:27:21.4573604Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:21.4573949Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:21.4574255Z     return mod(*inputs)
2025-11-03T16:27:21.4574588Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:27:21.4574909Z     return self._forward_impl(x)
2025-11-03T16:27:21.4575241Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-11-03T16:27:21.4575572Z     x = self.layer3(x)
2025-11-03T16:27:21.4575871Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-11-03T16:27:21.4576193Z     out = self.relu(out)
2025-11-03T16:27:21.4576298Z 
2025-11-03T16:27:21.4576399Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:21.4576738Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:21.4577042Z     return mod(*inputs)
2025-11-03T16:27:21.4577346Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:27:21.4577670Z     return self._forward_impl(x)
2025-11-03T16:27:21.4578006Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-11-03T16:27:21.4578347Z     x = self.layer3(x)
2025-11-03T16:27:21.4578643Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-11-03T16:27:21.4578958Z     out = self.relu(out)
2025-11-03T16:27:21.4579064Z 
2025-11-03T16:27:21.4579162Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:21.4579504Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:21.4579803Z     return mod(*inputs)
2025-11-03T16:27:21.4580109Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:27:21.4580434Z     return self._forward_impl(x)
2025-11-03T16:27:21.4580770Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-11-03T16:27:21.4581111Z     x = self.layer3(x)
2025-11-03T16:27:21.4581406Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-11-03T16:27:21.4581719Z     out = self.relu(out)
2025-11-03T16:27:21.4581824Z 
2025-11-03T16:27:21.4581902Z cudagraph partition due to non gpu ops
2025-11-03T16:27:21.4582129Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:21.4582467Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:21.4582800Z     return mod(*inputs)
2025-11-03T16:27:21.4583095Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:27:21.4583423Z     return self._forward_impl(x)
2025-11-03T16:27:21.4583757Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-11-03T16:27:21.4584088Z     x = self.layer3(x)
2025-11-03T16:27:21.4584379Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-11-03T16:27:21.4584698Z     out = self.relu(out)
2025-11-03T16:27:21.4584802Z 
2025-11-03T16:27:21.4584899Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:21.4585234Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:21.4585530Z     return mod(*inputs)
2025-11-03T16:27:21.4585829Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:27:21.4586162Z     return self._forward_impl(x)
2025-11-03T16:27:21.4586495Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-11-03T16:27:21.4586826Z     x = self.layer3(x)
2025-11-03T16:27:21.4587123Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-11-03T16:27:21.4587473Z     out = self.relu(out)
2025-11-03T16:27:21.4587574Z 
2025-11-03T16:27:21.4587673Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:21.4588022Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:21.4588331Z     return mod(*inputs)
2025-11-03T16:27:21.4588639Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:27:21.4588969Z     return self._forward_impl(x)
2025-11-03T16:27:21.4589309Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-11-03T16:27:21.4589658Z     x = self.layer3(x)
2025-11-03T16:27:21.4589962Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-11-03T16:27:21.4590294Z     out = self.relu(out)
2025-11-03T16:27:21.4590394Z 
2025-11-03T16:27:21.4590496Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:21.4590841Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:21.4591147Z     return mod(*inputs)
2025-11-03T16:27:21.4591453Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:27:21.4591778Z     return self._forward_impl(x)
2025-11-03T16:27:21.4592120Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-11-03T16:27:21.4592465Z     x = self.layer3(x)
2025-11-03T16:27:21.4592770Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-11-03T16:27:21.4593096Z     out = self.relu(out)
2025-11-03T16:27:21.4593194Z 
2025-11-03T16:27:21.4593271Z cudagraph partition due to non gpu ops
2025-11-03T16:27:21.4593504Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:21.4593854Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:21.4594167Z     return mod(*inputs)
2025-11-03T16:27:21.4594471Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:27:21.4594811Z     return self._forward_impl(x)
2025-11-03T16:27:21.4595148Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-11-03T16:27:21.4595519Z     x = self.layer3(x)
2025-11-03T16:27:21.4595814Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-11-03T16:27:21.4596130Z     out = self.relu(out)
2025-11-03T16:27:21.4596235Z 
2025-11-03T16:27:21.4596333Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:21.4596669Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:21.4596964Z     return mod(*inputs)
2025-11-03T16:27:21.4597257Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:27:21.4597582Z     return self._forward_impl(x)
2025-11-03T16:27:21.4597902Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-11-03T16:27:21.4598225Z     x = self.layer3(x)
2025-11-03T16:27:21.4598512Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-11-03T16:27:21.4598838Z     out = self.relu(out)
2025-11-03T16:27:21.4598935Z 
2025-11-03T16:27:21.4599033Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:21.4599360Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:21.4599648Z     return mod(*inputs)
2025-11-03T16:27:21.4599971Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:27:21.4600300Z     return self._forward_impl(x)
2025-11-03T16:27:21.4600633Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-11-03T16:27:21.4600980Z     x = self.layer3(x)
2025-11-03T16:27:21.4601267Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-11-03T16:27:21.4601591Z     out = self.relu(out)
2025-11-03T16:27:21.4601697Z 
2025-11-03T16:27:21.4601793Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:21.4602128Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:21.4602428Z     return mod(*inputs)
2025-11-03T16:27:21.4602724Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:27:21.4603054Z     return self._forward_impl(x)
2025-11-03T16:27:21.4603389Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-11-03T16:27:21.4603732Z     x = self.layer3(x)
2025-11-03T16:27:21.4604021Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-11-03T16:27:21.4604342Z     out = self.relu(out)
2025-11-03T16:27:21.4604448Z 
2025-11-03T16:27:21.4604524Z cudagraph partition due to non gpu ops
2025-11-03T16:27:21.4604750Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:21.4605116Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:21.4605410Z     return mod(*inputs)
2025-11-03T16:27:21.4605711Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:27:21.4606036Z     return self._forward_impl(x)
2025-11-03T16:27:21.4606366Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-11-03T16:27:21.4606692Z     x = self.layer3(x)
2025-11-03T16:27:21.4606989Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-11-03T16:27:21.4607307Z     out = self.relu(out)
2025-11-03T16:27:21.4607403Z 
2025-11-03T16:27:21.4607508Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:21.4607846Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:21.4608339Z     return mod(*inputs)
2025-11-03T16:27:21.4608641Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:27:21.4608965Z     return self._forward_impl(x)
2025-11-03T16:27:21.4609302Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-11-03T16:27:21.4609628Z     x = self.layer3(x)
2025-11-03T16:27:21.4609936Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-11-03T16:27:21.4610258Z     out = self.relu(out)
2025-11-03T16:27:21.4610358Z 
2025-11-03T16:27:21.4610465Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:21.4610802Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:21.4611093Z     return mod(*inputs)
2025-11-03T16:27:21.4611396Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:27:21.4611726Z     return self._forward_impl(x)
2025-11-03T16:27:21.4612051Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-11-03T16:27:21.4612376Z     x = self.layer3(x)
2025-11-03T16:27:21.4612675Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-11-03T16:27:21.4613027Z     out = self.relu(out)
2025-11-03T16:27:21.4613125Z 
2025-11-03T16:27:21.4613226Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:21.4613564Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:21.4613856Z     return mod(*inputs)
2025-11-03T16:27:21.4614162Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:27:21.4614502Z     return self._forward_impl(x)
2025-11-03T16:27:21.4614837Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-11-03T16:27:21.4615163Z     x = self.layer3(x)
2025-11-03T16:27:21.4615463Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-11-03T16:27:21.4615788Z     out = self.relu(out)
2025-11-03T16:27:21.4615885Z 
2025-11-03T16:27:21.4615971Z cudagraph partition due to non gpu ops
2025-11-03T16:27:21.4616202Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:21.4616536Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:21.4616845Z     return mod(*inputs)
2025-11-03T16:27:21.4617155Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:27:21.4617491Z     return self._forward_impl(x)
2025-11-03T16:27:21.4617818Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-11-03T16:27:21.4618156Z     x = self.layer3(x)
2025-11-03T16:27:21.4618459Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-11-03T16:27:21.4618783Z     out = self.relu(out)
2025-11-03T16:27:21.4618881Z 
2025-11-03T16:27:21.4618985Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:21.4619320Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:21.4619626Z     return mod(*inputs)
2025-11-03T16:27:21.4619932Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:27:21.4620259Z     return self._forward_impl(x)
2025-11-03T16:27:21.4620584Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-11-03T16:27:21.4620952Z     x = self.layer3(x)
2025-11-03T16:27:21.4621252Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-11-03T16:27:21.4621577Z     out = self.relu(out)
2025-11-03T16:27:21.4621675Z 
2025-11-03T16:27:21.4621778Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:21.4622112Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:21.4622409Z     return mod(*inputs)
2025-11-03T16:27:21.4622713Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:27:21.4623040Z     return self._forward_impl(x)
2025-11-03T16:27:21.4623364Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-11-03T16:27:21.4623701Z     x = self.layer3(x)
2025-11-03T16:27:21.4623996Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-11-03T16:27:21.4624323Z     out = self.relu(out)
2025-11-03T16:27:21.4624421Z 
2025-11-03T16:27:21.4624525Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:21.4624857Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:21.4625162Z     return mod(*inputs)
2025-11-03T16:27:21.4625472Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:27:21.4625831Z     return self._forward_impl(x)
2025-11-03T16:27:21.4626156Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-11-03T16:27:21.4626493Z     x = self.layer3(x)
2025-11-03T16:27:21.4626792Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-11-03T16:27:21.4627114Z     out = self.relu(out)
2025-11-03T16:27:21.4627213Z 
2025-11-03T16:27:21.4627301Z cudagraph partition due to non gpu ops
2025-11-03T16:27:21.4627524Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:21.4627864Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:21.4628164Z     return mod(*inputs)
2025-11-03T16:27:21.4628469Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:27:21.4628786Z     return self._forward_impl(x)
2025-11-03T16:27:21.4629123Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-11-03T16:27:21.4629456Z     x = self.layer3(x)
2025-11-03T16:27:21.4629752Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-11-03T16:27:21.4630077Z     out = self.relu(out)
2025-11-03T16:27:21.4630177Z 
2025-11-03T16:27:21.4630274Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:21.4630618Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:21.4630919Z     return mod(*inputs)
2025-11-03T16:27:21.4631224Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:27:21.4631541Z     return self._forward_impl(x)
2025-11-03T16:27:21.4631868Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-11-03T16:27:21.4632201Z     x = self.layer3(x)
2025-11-03T16:27:21.4632500Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-11-03T16:27:21.4632829Z     out = self.relu(out)
2025-11-03T16:27:21.4632926Z 
2025-11-03T16:27:21.4633023Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:21.4633365Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:21.4633695Z     return mod(*inputs)
2025-11-03T16:27:21.4633996Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:27:21.4634316Z     return self._forward_impl(x)
2025-11-03T16:27:21.4634643Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-11-03T16:27:21.4634973Z     x = self.layer3(x)
2025-11-03T16:27:21.4635271Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-11-03T16:27:21.4635596Z     out = self.relu(out)
2025-11-03T16:27:21.4635692Z 
2025-11-03T16:27:21.4635789Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:21.4636127Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:21.4636425Z     return mod(*inputs)
2025-11-03T16:27:21.4636726Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:27:21.4637047Z     return self._forward_impl(x)
2025-11-03T16:27:21.4637373Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-11-03T16:27:21.4637706Z     x = self.layer3(x)
2025-11-03T16:27:21.4638001Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-11-03T16:27:21.4638320Z     out = self.relu(out)
2025-11-03T16:27:21.4638450Z 
2025-11-03T16:27:21.4638529Z cudagraph partition due to non gpu ops
2025-11-03T16:27:21.4638757Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:21.4639102Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:21.4639410Z     return mod(*inputs)
2025-11-03T16:27:21.4639710Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:27:21.4640041Z     return self._forward_impl(x)
2025-11-03T16:27:21.4640375Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-11-03T16:27:21.4640710Z     x = self.layer4(x)
2025-11-03T16:27:21.4641011Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-11-03T16:27:21.4641334Z     out = self.relu(out)
2025-11-03T16:27:21.4641442Z 
2025-11-03T16:27:21.4641545Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:21.4641889Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:21.4642196Z     return mod(*inputs)
2025-11-03T16:27:21.4642501Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:27:21.4642831Z     return self._forward_impl(x)
2025-11-03T16:27:21.4643163Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-11-03T16:27:21.4643500Z     x = self.layer4(x)
2025-11-03T16:27:21.4643799Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-11-03T16:27:21.4644113Z     out = self.relu(out)
2025-11-03T16:27:21.4644217Z 
2025-11-03T16:27:21.4644315Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:21.4644655Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:21.4644956Z     return mod(*inputs)
2025-11-03T16:27:21.4645255Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:27:21.4645585Z     return self._forward_impl(x)
2025-11-03T16:27:21.4645917Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-11-03T16:27:21.4646255Z     x = self.layer4(x)
2025-11-03T16:27:21.4646590Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-11-03T16:27:21.4646906Z     out = self.relu(out)
2025-11-03T16:27:21.4647013Z 
2025-11-03T16:27:21.4647110Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:21.4647451Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:21.4647748Z     return mod(*inputs)
2025-11-03T16:27:21.4648045Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:27:21.4648368Z     return self._forward_impl(x)
2025-11-03T16:27:21.4648700Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-11-03T16:27:21.4649035Z     x = self.layer4(x)
2025-11-03T16:27:21.4649338Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-11-03T16:27:21.4649656Z     out = self.relu(out)
2025-11-03T16:27:21.4649759Z 
2025-11-03T16:27:21.4649856Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:21.4650191Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:21.4650485Z     return mod(*inputs)
2025-11-03T16:27:21.4650780Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:27:21.4651156Z     return self._forward_impl(x)
2025-11-03T16:27:21.4651484Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-11-03T16:27:21.4651812Z     x = self.layer4(x)
2025-11-03T16:27:21.4652110Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-11-03T16:27:21.4652425Z     out = self.relu(out)
2025-11-03T16:27:21.4652530Z 
2025-11-03T16:27:21.4652624Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:21.4652962Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:21.4653260Z     return mod(*inputs)
2025-11-03T16:27:21.4653553Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:27:21.4653926Z     return self._forward_impl(x)
2025-11-03T16:27:21.4654265Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-11-03T16:27:21.4654605Z     x = self.layer4(x)
2025-11-03T16:27:21.4654904Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-11-03T16:27:21.4655219Z     out = self.relu(out)
2025-11-03T16:27:21.4655328Z 
2025-11-03T16:27:21.4655406Z cudagraph partition due to non gpu ops
2025-11-03T16:27:21.4655639Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:21.4655982Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:21.4656278Z     return mod(*inputs)
2025-11-03T16:27:21.4656595Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:27:21.4656932Z     return self._forward_impl(x)
2025-11-03T16:27:21.4657268Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-11-03T16:27:21.4657604Z     x = self.layer4(x)
2025-11-03T16:27:21.4657894Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-11-03T16:27:21.4658221Z     out = self.relu(out)
2025-11-03T16:27:21.4658325Z 
2025-11-03T16:27:21.4658423Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:21.4658765Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:21.4659058Z     return mod(*inputs)
2025-11-03T16:27:21.4659432Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:27:21.4659762Z     return self._forward_impl(x)
2025-11-03T16:27:21.4660095Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-11-03T16:27:21.4660435Z     x = self.layer4(x)
2025-11-03T16:27:21.4660732Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-11-03T16:27:21.4661063Z     out = self.relu(out)
2025-11-03T16:27:21.4661172Z 
2025-11-03T16:27:21.4661271Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:21.4661612Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:21.4661908Z     return mod(*inputs)
2025-11-03T16:27:21.4662220Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:27:21.4662558Z     return self._forward_impl(x)
2025-11-03T16:27:21.4662891Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-11-03T16:27:21.4663222Z     x = self.layer4(x)
2025-11-03T16:27:21.4663510Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-11-03T16:27:21.4663833Z     out = self.relu(out)
2025-11-03T16:27:21.4663941Z 
2025-11-03T16:27:21.4664122Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:21.4664463Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:21.4664756Z     return mod(*inputs)
2025-11-03T16:27:21.4665062Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:27:21.4665385Z     return self._forward_impl(x)
2025-11-03T16:27:21.4665716Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-11-03T16:27:21.4666050Z     x = self.layer4(x)
2025-11-03T16:27:21.4666342Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-11-03T16:27:21.4666662Z     out = self.relu(out)
2025-11-03T16:27:21.4666767Z 
2025-11-03T16:27:21.4666844Z cudagraph partition due to non gpu ops
2025-11-03T16:27:21.4667078Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:21.4667413Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:21.4667717Z     return mod(*inputs)
2025-11-03T16:27:21.4668023Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:27:21.4668353Z     return self._forward_impl(x)
2025-11-03T16:27:21.4668682Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-11-03T16:27:21.4669012Z     x = self.layer4(x)
2025-11-03T16:27:21.4669312Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-11-03T16:27:21.4669635Z     out = self.relu(out)
2025-11-03T16:27:21.4669734Z 
2025-11-03T16:27:21.4669840Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:21.4670170Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:21.4670470Z     return mod(*inputs)
2025-11-03T16:27:21.4670774Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:27:21.4671102Z     return self._forward_impl(x)
2025-11-03T16:27:21.4671429Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-11-03T16:27:21.4671863Z     x = self.layer4(x)
2025-11-03T16:27:21.4672306Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-11-03T16:27:21.4672750Z     out = self.relu(out)
2025-11-03T16:27:21.4672847Z 
2025-11-03T16:27:21.4672955Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:21.4673284Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:21.4673586Z     return mod(*inputs)
2025-11-03T16:27:21.4673889Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:27:21.4674219Z     return self._forward_impl(x)
2025-11-03T16:27:21.4674616Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-11-03T16:27:21.4674945Z     x = self.layer4(x)
2025-11-03T16:27:21.4675243Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-11-03T16:27:21.4675566Z     out = self.relu(out)
2025-11-03T16:27:21.4675666Z 
2025-11-03T16:27:21.4675767Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:21.4676096Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:21.4676396Z     return mod(*inputs)
2025-11-03T16:27:21.4676698Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:27:21.4677027Z     return self._forward_impl(x)
2025-11-03T16:27:21.4677389Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-11-03T16:27:21.4677715Z     x = self.layer4(x)
2025-11-03T16:27:21.4678014Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-11-03T16:27:21.4678336Z     out = self.relu(out)
2025-11-03T16:27:21.4678432Z 
2025-11-03T16:27:21.4678514Z cudagraph partition due to non gpu ops
2025-11-03T16:27:21.4678714Z cudagraph partition due to non gpu ops
2025-11-03T16:27:21.4678938Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:27:21.4679275Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:27:21.4679572Z     return mod(*inputs)
2025-11-03T16:27:21.4679871Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:27:21.4680190Z     return self._forward_impl(x)
2025-11-03T16:27:21.4680522Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 278, in _forward_impl
2025-11-03T16:27:21.4680860Z     x = self.avgpool(x)
2025-11-03T16:27:21.4680955Z 
2025-11-03T16:27:21.4681039Z cudagraph partition due to non gpu ops
2025-11-03T16:27:21.4681231Z cudagraph partition due to non gpu ops
2025-11-03T16:27:29.4609193Z 
2025-11-03T16:27:29.6135758Z running benchmark:   0% 0/50 [00:00<?, ?it/s]
2025-11-03T16:27:29.7569879Z running benchmark:   2% 1/50 [00:00<00:07,  6.53it/s]
2025-11-03T16:27:29.9009000Z running benchmark:   4% 2/50 [00:00<00:07,  6.78it/s]
2025-11-03T16:27:30.0440704Z running benchmark:   6% 3/50 [00:00<00:06,  6.86it/s]
2025-11-03T16:27:30.1872292Z running benchmark:   8% 4/50 [00:00<00:06,  6.91it/s]
2025-11-03T16:27:30.3305665Z running benchmark:  10% 5/50 [00:00<00:06,  6.94it/s]
2025-11-03T16:27:30.4785609Z running benchmark:  12% 6/50 [00:00<00:06,  6.95it/s]
2025-11-03T16:27:30.6304502Z running benchmark:  14% 7/50 [00:01<00:06,  6.89it/s]
2025-11-03T16:27:30.7741835Z running benchmark:  16% 8/50 [00:01<00:06,  6.79it/s]
2025-11-03T16:27:30.9175066Z running benchmark:  18% 9/50 [00:01<00:05,  6.84it/s]
2025-11-03T16:27:31.0647109Z running benchmark:  20% 10/50 [00:01<00:05,  6.88it/s]
2025-11-03T16:27:31.2079467Z running benchmark:  22% 11/50 [00:01<00:05,  6.85it/s]
2025-11-03T16:27:31.3513211Z running benchmark:  24% 12/50 [00:01<00:05,  6.89it/s]
2025-11-03T16:27:31.4945701Z running benchmark:  26% 13/50 [00:01<00:05,  6.92it/s]
2025-11-03T16:27:31.6512479Z running benchmark:  28% 14/50 [00:02<00:05,  6.94it/s]
2025-11-03T16:27:31.7937685Z running benchmark:  30% 15/50 [00:02<00:05,  6.76it/s]
2025-11-03T16:27:31.9346598Z running benchmark:  32% 16/50 [00:02<00:04,  6.83it/s]
2025-11-03T16:27:32.0756434Z running benchmark:  34% 17/50 [00:02<00:04,  6.91it/s]
2025-11-03T16:27:32.2165379Z running benchmark:  36% 18/50 [00:02<00:04,  6.96it/s]
2025-11-03T16:27:32.3576505Z running benchmark:  38% 19/50 [00:02<00:04,  7.00it/s]
2025-11-03T16:27:32.4984680Z running benchmark:  40% 20/50 [00:02<00:04,  7.03it/s]
2025-11-03T16:27:32.6422133Z running benchmark:  42% 21/50 [00:03<00:04,  7.05it/s]
2025-11-03T16:27:32.7969473Z running benchmark:  44% 22/50 [00:03<00:03,  7.02it/s]
2025-11-03T16:27:32.9404279Z running benchmark:  46% 23/50 [00:03<00:03,  6.85it/s]
2025-11-03T16:27:33.0840762Z running benchmark:  48% 24/50 [00:03<00:03,  6.88it/s]
2025-11-03T16:27:33.2326207Z running benchmark:  50% 25/50 [00:03<00:03,  6.91it/s]
2025-11-03T16:27:33.3767127Z running benchmark:  52% 26/50 [00:03<00:03,  6.85it/s]
2025-11-03T16:27:33.5209250Z running benchmark:  54% 27/50 [00:03<00:03,  6.88it/s]
2025-11-03T16:27:33.6644588Z running benchmark:  56% 28/50 [00:04<00:03,  6.90it/s]
2025-11-03T16:27:33.8213966Z running benchmark:  58% 29/50 [00:04<00:03,  6.92it/s]
2025-11-03T16:27:33.9652203Z running benchmark:  60% 30/50 [00:04<00:02,  6.74it/s]
2025-11-03T16:27:34.1094637Z running benchmark:  62% 31/50 [00:04<00:02,  6.80it/s]
2025-11-03T16:27:34.2535551Z running benchmark:  64% 32/50 [00:04<00:02,  6.84it/s]
2025-11-03T16:27:34.3981494Z running benchmark:  66% 33/50 [00:04<00:02,  6.87it/s]
2025-11-03T16:27:34.5422863Z running benchmark:  68% 34/50 [00:04<00:02,  6.89it/s]
2025-11-03T16:27:34.6858957Z running benchmark:  70% 35/50 [00:05<00:02,  6.90it/s]
2025-11-03T16:27:34.8327761Z running benchmark:  72% 36/50 [00:05<00:02,  6.92it/s]
2025-11-03T16:27:34.9857764Z running benchmark:  74% 37/50 [00:05<00:01,  6.88it/s]
2025-11-03T16:27:35.1290803Z running benchmark:  76% 38/50 [00:05<00:01,  6.78it/s]
2025-11-03T16:27:35.2724508Z running benchmark:  78% 39/50 [00:05<00:01,  6.84it/s]
2025-11-03T16:27:35.4159512Z running benchmark:  80% 40/50 [00:05<00:01,  6.88it/s]
2025-11-03T16:27:35.5603370Z running benchmark:  82% 41/50 [00:05<00:01,  6.90it/s]
2025-11-03T16:27:35.7023661Z running benchmark:  84% 42/50 [00:06<00:01,  6.91it/s]
2025-11-03T16:27:35.8439547Z running benchmark:  86% 43/50 [00:06<00:01,  6.95it/s]
2025-11-03T16:27:36.0001248Z running benchmark:  88% 44/50 [00:06<00:00,  6.98it/s]
2025-11-03T16:27:36.1421886Z running benchmark:  90% 45/50 [00:06<00:00,  6.80it/s]
2025-11-03T16:27:36.2844125Z running benchmark:  92% 46/50 [00:06<00:00,  6.87it/s]
2025-11-03T16:27:36.4260136Z running benchmark:  94% 47/50 [00:06<00:00,  6.92it/s]
2025-11-03T16:27:36.5677604Z running benchmark:  96% 48/50 [00:06<00:00,  6.96it/s]
2025-11-03T16:27:36.7096289Z running benchmark:  98% 49/50 [00:07<00:00,  6.99it/s]
2025-11-03T16:27:36.7096835Z running benchmark: 100% 50/50 [00:07<00:00,  7.01it/s]
2025-11-03T16:27:36.7097250Z running benchmark: 100% 50/50 [00:07<00:00,  6.90it/s]
2025-11-03T16:27:36.7307447Z 1.825x
2025-11-03T16:27:36.7307799Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:27:37.6498887Z + cat /var/lib/jenkins/workspace/test/test-reports/inductor_inference_resnet50_inductor_float32_dynamic_cpu_smoketest.csv
2025-11-03T16:27:37.6519681Z dev,name,batch_size,speedup,abs_latency,compilation_latency,compression_ratio,eager_peak_mem,dynamo_peak_mem,calls_captured,unique_graphs,graph_breaks,unique_graph_breaks,autograd_captures,autograd_compiles,cudagraph_skips
2025-11-03T16:27:37.6520450Z cpu,resnet50,32,1.825380,50.409837,14.539944,0.969646,372.953498,384.628326,175,1,0,0,0,0,1
2025-11-03T16:27:37.6521321Z + python benchmarks/dynamo/check_perf_csv.py -f /var/lib/jenkins/workspace/test/test-reports/inductor_inference_resnet50_inductor_float32_dynamic_cpu_smoketest.csv -t 1.67742767 -s 0.99
2025-11-03T16:27:37.8986017Z resnet50                           1.82538
2025-11-03T16:27:37.9372705Z + IFS=,
2025-11-03T16:27:37.9372977Z + read -r -a model_cfg
2025-11-03T16:27:37.9373245Z + local model_name=mobilenet_v3_large
2025-11-03T16:27:37.9373491Z + local data_type=float32
2025-11-03T16:27:37.9373702Z + local speedup_target=2.63311706
2025-11-03T16:27:37.9373943Z + local backend=inductor
2025-11-03T16:27:37.9374143Z + [[ cpp == \c\p\p ]]
2025-11-03T16:27:37.9374353Z + export TORCHINDUCTOR_CPP_WRAPPER=1
2025-11-03T16:27:37.9374620Z + TORCHINDUCTOR_CPP_WRAPPER=1
2025-11-03T16:27:37.9375151Z + local output_name=/var/lib/jenkins/workspace/test/test-reports/inductor_inference_mobilenet_v3_large_inductor_float32_static_cpu_smoketest.csv
2025-11-03T16:27:37.9375655Z + [[ static == \d\y\n\a\m\i\c ]]
2025-11-03T16:27:37.9376528Z + taskset -c 0-93 python benchmarks/dynamo/torchbench.py --inference --performance --float32 -dcpu -n50 --only mobilenet_v3_large --freezing --timeout 9000 --inductor --output /var/lib/jenkins/workspace/test/test-reports/inductor_inference_mobilenet_v3_large_inductor_float32_static_cpu_smoketest.csv
2025-11-03T16:27:38.2320273Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-11-03T16:27:38.2321872Z   import pynvml  # type: ignore[import]
2025-11-03T16:27:39.9496377Z 
2025-11-03T16:27:40.3836297Z loading model: 0it [00:00, ?it/s]
2025-11-03T16:27:40.3836635Z loading model: 0it [00:00, ?it/s]
2025-11-03T16:27:40.3845931Z cpu  eval  mobilenet_v3_large                 
2025-11-03T16:27:42.1438027Z skipping cudagraphs due to cpp wrapper enabled
2025-11-03T16:27:56.5833311Z 
2025-11-03T16:27:56.6836748Z running benchmark:   0% 0/50 [00:00<?, ?it/s]
2025-11-03T16:27:56.7843378Z running benchmark:   6% 3/50 [00:00<00:01, 29.83it/s]
2025-11-03T16:27:56.8856413Z running benchmark:  12% 6/50 [00:00<00:01, 29.80it/s]
2025-11-03T16:27:57.0182133Z running benchmark:  18% 9/50 [00:00<00:01, 29.72it/s]
2025-11-03T16:27:57.1504520Z running benchmark:  26% 13/50 [00:00<00:01, 29.93it/s]
2025-11-03T16:27:57.2829123Z running benchmark:  34% 17/50 [00:00<00:01, 30.05it/s]
2025-11-03T16:27:57.4150402Z running benchmark:  42% 21/50 [00:00<00:00, 30.11it/s]
2025-11-03T16:27:57.5475935Z running benchmark:  50% 25/50 [00:00<00:00, 30.16it/s]
2025-11-03T16:27:57.6796900Z running benchmark:  58% 29/50 [00:00<00:00, 30.17it/s]
2025-11-03T16:27:57.8122660Z running benchmark:  66% 33/50 [00:01<00:00, 30.20it/s]
2025-11-03T16:27:57.9484119Z running benchmark:  74% 37/50 [00:01<00:00, 30.19it/s]
2025-11-03T16:27:58.0808373Z running benchmark:  82% 41/50 [00:01<00:00, 29.94it/s]
2025-11-03T16:27:58.2130662Z running benchmark:  90% 45/50 [00:01<00:00, 30.02it/s]
2025-11-03T16:27:58.2461900Z running benchmark:  98% 49/50 [00:01<00:00, 30.09it/s]
2025-11-03T16:27:58.2462477Z running benchmark: 100% 50/50 [00:01<00:00, 30.06it/s]
2025-11-03T16:27:58.2672079Z 2.917x
2025-11-03T16:27:58.2672508Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:27:59.1921972Z + cat /var/lib/jenkins/workspace/test/test-reports/inductor_inference_mobilenet_v3_large_inductor_float32_static_cpu_smoketest.csv
2025-11-03T16:27:59.1935812Z dev,name,batch_size,speedup,abs_latency,compilation_latency,compression_ratio,eager_peak_mem,dynamo_peak_mem,calls_captured,unique_graphs,graph_breaks,unique_graph_breaks,autograd_captures,autograd_compiles,cudagraph_skips
2025-11-03T16:27:59.1936478Z cpu,mobilenet_v3_large,32,2.916887,8.191119,15.396940,0.950025,206.249574,217.099059,187,1,0,0,0,0,1
2025-11-03T16:27:59.1937171Z + python benchmarks/dynamo/check_perf_csv.py -f /var/lib/jenkins/workspace/test/test-reports/inductor_inference_mobilenet_v3_large_inductor_float32_static_cpu_smoketest.csv -t 2.63311706 -s 0.99
2025-11-03T16:27:59.4395692Z mobilenet_v3_large                 2.916887
2025-11-03T16:27:59.4774791Z + IFS=,
2025-11-03T16:27:59.4775027Z + read -r -a model_cfg
2025-11-03T16:27:59.4775274Z + local model_name=functorch_maml_omniglot
2025-11-03T16:27:59.4775523Z + local data_type=float32
2025-11-03T16:27:59.4775734Z + local speedup_target=1.126799
2025-11-03T16:27:59.4775953Z + local backend=inductor
2025-11-03T16:27:59.4776155Z + [[ cpp == \c\p\p ]]
2025-11-03T16:27:59.4776361Z + export TORCHINDUCTOR_CPP_WRAPPER=1
2025-11-03T16:27:59.4776627Z + TORCHINDUCTOR_CPP_WRAPPER=1
2025-11-03T16:27:59.4777165Z + local output_name=/var/lib/jenkins/workspace/test/test-reports/inductor_inference_functorch_maml_omniglot_inductor_float32_dynamic_cpu_smoketest.csv
2025-11-03T16:27:59.4777696Z + [[ dynamic == \d\y\n\a\m\i\c ]]
2025-11-03T16:27:59.4778724Z + taskset -c 0-93 python benchmarks/dynamo/torchbench.py --inference --performance --float32 -dcpu -n50 --only functorch_maml_omniglot --dynamic-shapes --dynamic-batch-only --freezing --timeout 9000 --inductor --output /var/lib/jenkins/workspace/test/test-reports/inductor_inference_functorch_maml_omniglot_inductor_float32_dynamic_cpu_smoketest.csv
2025-11-03T16:27:59.7431577Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-11-03T16:27:59.7433118Z   import pynvml  # type: ignore[import]
2025-11-03T16:28:01.4622069Z 
2025-11-03T16:28:01.5852587Z loading model: 0it [00:00, ?it/s]
2025-11-03T16:28:01.5852997Z loading model: 0it [00:00, ?it/s]
2025-11-03T16:28:01.5853344Z cpu  eval  functorch_maml_omniglot            
2025-11-03T16:28:02.2147423Z skipping cudagraphs due to cpp wrapper enabled
2025-11-03T16:28:10.8255613Z 
2025-11-03T16:28:10.8721424Z running benchmark:   0% 0/50 [00:00<?, ?it/s]
2025-11-03T16:28:10.8721922Z running benchmark: 100% 50/50 [00:00<00:00, 1072.35it/s]
2025-11-03T16:28:10.8906518Z 1.853x
2025-11-03T16:28:10.8906977Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:28:11.6626251Z + cat /var/lib/jenkins/workspace/test/test-reports/inductor_inference_functorch_maml_omniglot_inductor_float32_dynamic_cpu_smoketest.csv
2025-11-03T16:28:11.6641461Z dev,name,batch_size,speedup,abs_latency,compilation_latency,compression_ratio,eager_peak_mem,dynamo_peak_mem,calls_captured,unique_graphs,graph_breaks,unique_graph_breaks,autograd_captures,autograd_compiles,cudagraph_skips
2025-11-03T16:28:11.6642162Z cpu,functorch_maml_omniglot,1,1.852576,0.276099,8.753952,0.832313,51.470746,61.840589,14,1,0,0,0,0,1
2025-11-03T16:28:11.6642832Z + python benchmarks/dynamo/check_perf_csv.py -f /var/lib/jenkins/workspace/test/test-reports/inductor_inference_functorch_maml_omniglot_inductor_float32_dynamic_cpu_smoketest.csv -t 1.126799 -s 0.99
2025-11-03T16:28:11.9127102Z functorch_maml_omniglot            1.852576
2025-11-03T16:28:11.9505505Z + IFS=,
2025-11-03T16:28:11.9505739Z + read -r -a model_cfg
2025-11-03T16:28:11.9505961Z + local model_name=yolov3
2025-11-03T16:28:11.9506177Z + local data_type=float32
2025-11-03T16:28:11.9506376Z + local speedup_target=1.40687424
2025-11-03T16:28:11.9506616Z + local backend=export-aot-inductor
2025-11-03T16:28:11.9506854Z + [[ default == \c\p\p ]]
2025-11-03T16:28:11.9507066Z + unset TORCHINDUCTOR_CPP_WRAPPER
2025-11-03T16:28:11.9507627Z + local output_name=/var/lib/jenkins/workspace/test/test-reports/inductor_inference_yolov3_export-aot-inductor_float32_static_cpu_smoketest.csv
2025-11-03T16:28:11.9508157Z + [[ static == \d\y\n\a\m\i\c ]]
2025-11-03T16:28:11.9509077Z + taskset -c 0-93 python benchmarks/dynamo/torchbench.py --inference --performance --float32 -dcpu -n50 --only yolov3 --freezing --timeout 9000 --export-aot-inductor --output /var/lib/jenkins/workspace/test/test-reports/inductor_inference_yolov3_export-aot-inductor_float32_static_cpu_smoketest.csv
2025-11-03T16:28:12.2065826Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-11-03T16:28:12.2067249Z   import pynvml  # type: ignore[import]
2025-11-03T16:28:13.9246016Z 
2025-11-03T16:28:15.2547179Z loading model: 0it [00:00, ?it/s]
2025-11-03T16:28:15.2547517Z loading model: 0it [00:01, ?it/s]
2025-11-03T16:28:15.2566520Z cpu  eval  yolov3                             
2025-11-03T16:28:17.8220695Z skipping cudagraphs due to cpp wrapper enabled
2025-11-03T16:28:40.4983170Z 
2025-11-03T16:28:40.7927354Z running benchmark:   0% 0/50 [00:00<?, ?it/s]
2025-11-03T16:28:41.0552051Z running benchmark:   2% 1/50 [00:00<00:14,  3.39it/s]
2025-11-03T16:28:41.3170181Z running benchmark:   4% 2/50 [00:00<00:13,  3.62it/s]
2025-11-03T16:28:41.5768216Z running benchmark:   6% 3/50 [00:00<00:12,  3.71it/s]
2025-11-03T16:28:41.8546955Z running benchmark:   8% 4/50 [00:01<00:12,  3.76it/s]
2025-11-03T16:28:42.1147964Z running benchmark:  10% 5/50 [00:01<00:12,  3.70it/s]
2025-11-03T16:28:42.3757474Z running benchmark:  12% 6/50 [00:01<00:11,  3.75it/s]
2025-11-03T16:28:42.6341964Z running benchmark:  14% 7/50 [00:01<00:11,  3.78it/s]
2025-11-03T16:28:42.9081219Z running benchmark:  16% 8/50 [00:02<00:11,  3.81it/s]
2025-11-03T16:28:43.1677489Z running benchmark:  18% 9/50 [00:02<00:10,  3.76it/s]
2025-11-03T16:28:43.4265623Z running benchmark:  20% 10/50 [00:02<00:10,  3.78it/s]
2025-11-03T16:28:43.6852772Z running benchmark:  22% 11/50 [00:02<00:10,  3.81it/s]
2025-11-03T16:28:43.9547454Z running benchmark:  24% 12/50 [00:03<00:09,  3.83it/s]
2025-11-03T16:28:44.2129916Z running benchmark:  26% 13/50 [00:03<00:09,  3.79it/s]
2025-11-03T16:28:44.4700491Z running benchmark:  28% 14/50 [00:03<00:09,  3.81it/s]
2025-11-03T16:28:44.7292790Z running benchmark:  30% 15/50 [00:03<00:09,  3.84it/s]
2025-11-03T16:28:45.0032217Z running benchmark:  32% 16/50 [00:04<00:08,  3.84it/s]
2025-11-03T16:28:45.2616304Z running benchmark:  34% 17/50 [00:04<00:08,  3.78it/s]
2025-11-03T16:28:45.5194747Z running benchmark:  36% 18/50 [00:04<00:08,  3.81it/s]
2025-11-03T16:28:45.7789506Z running benchmark:  38% 19/50 [00:05<00:08,  3.83it/s]
2025-11-03T16:28:46.0551431Z running benchmark:  40% 20/50 [00:05<00:07,  3.84it/s]
2025-11-03T16:28:46.3130055Z running benchmark:  42% 21/50 [00:05<00:07,  3.77it/s]
2025-11-03T16:28:46.5708625Z running benchmark:  44% 22/50 [00:05<00:07,  3.80it/s]
2025-11-03T16:28:46.8306681Z running benchmark:  46% 23/50 [00:06<00:07,  3.82it/s]
2025-11-03T16:28:47.0999849Z running benchmark:  48% 24/50 [00:06<00:06,  3.83it/s]
2025-11-03T16:28:47.3609839Z running benchmark:  50% 25/50 [00:06<00:06,  3.80it/s]
2025-11-03T16:28:47.6179162Z running benchmark:  52% 26/50 [00:06<00:06,  3.81it/s]
2025-11-03T16:28:47.8776289Z running benchmark:  54% 27/50 [00:07<00:06,  3.83it/s]
2025-11-03T16:28:48.1377818Z running benchmark:  56% 28/50 [00:07<00:05,  3.84it/s]
2025-11-03T16:28:48.4089050Z running benchmark:  58% 29/50 [00:07<00:05,  3.84it/s]
2025-11-03T16:28:48.6660813Z running benchmark:  60% 30/50 [00:07<00:05,  3.79it/s]
2025-11-03T16:28:48.9261484Z running benchmark:  62% 31/50 [00:08<00:04,  3.82it/s]
2025-11-03T16:28:49.1860246Z running benchmark:  64% 32/50 [00:08<00:04,  3.83it/s]
2025-11-03T16:28:49.4627446Z running benchmark:  66% 33/50 [00:08<00:04,  3.83it/s]
2025-11-03T16:28:49.7205298Z running benchmark:  68% 34/50 [00:08<00:04,  3.77it/s]
2025-11-03T16:28:49.9791709Z running benchmark:  70% 35/50 [00:09<00:03,  3.80it/s]
2025-11-03T16:28:50.2430690Z running benchmark:  72% 36/50 [00:09<00:03,  3.82it/s]
2025-11-03T16:28:50.5193884Z running benchmark:  74% 37/50 [00:09<00:03,  3.81it/s]
2025-11-03T16:28:50.7775275Z running benchmark:  76% 38/50 [00:10<00:03,  3.75it/s]
2025-11-03T16:28:51.0361748Z running benchmark:  78% 39/50 [00:10<00:02,  3.79it/s]
2025-11-03T16:28:51.2958908Z running benchmark:  80% 40/50 [00:10<00:02,  3.81it/s]
2025-11-03T16:28:51.5653699Z running benchmark:  82% 41/50 [00:10<00:02,  3.82it/s]
2025-11-03T16:28:51.8237080Z running benchmark:  84% 42/50 [00:11<00:02,  3.79it/s]
2025-11-03T16:28:52.0828935Z running benchmark:  86% 43/50 [00:11<00:01,  3.81it/s]
2025-11-03T16:28:52.3428399Z running benchmark:  88% 44/50 [00:11<00:01,  3.83it/s]
2025-11-03T16:28:52.6163002Z running benchmark:  90% 45/50 [00:11<00:01,  3.83it/s]
2025-11-03T16:28:52.8744972Z running benchmark:  92% 46/50 [00:12<00:01,  3.78it/s]
2025-11-03T16:28:53.1346384Z running benchmark:  94% 47/50 [00:12<00:00,  3.81it/s]
2025-11-03T16:28:53.3949025Z running benchmark:  96% 48/50 [00:12<00:00,  3.82it/s]
2025-11-03T16:28:53.6714979Z running benchmark:  98% 49/50 [00:12<00:00,  3.82it/s]
2025-11-03T16:28:53.6715516Z running benchmark: 100% 50/50 [00:13<00:00,  3.76it/s]
2025-11-03T16:28:53.6715959Z running benchmark: 100% 50/50 [00:13<00:00,  3.80it/s]
2025-11-03T16:28:53.6950587Z 1.517x
2025-11-03T16:28:53.6952452Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:28:54.8798085Z + cat /var/lib/jenkins/workspace/test/test-reports/inductor_inference_yolov3_export-aot-inductor_float32_static_cpu_smoketest.csv
2025-11-03T16:28:54.8817148Z dev,name,batch_size,speedup,abs_latency,compilation_latency,compression_ratio,eager_peak_mem,dynamo_peak_mem,calls_captured,unique_graphs,graph_breaks,unique_graph_breaks,autograd_captures,autograd_compiles,cudagraph_skips
2025-11-03T16:28:54.8818215Z cpu,yolov3,8,1.517055,102.720776,23.369219,0.916020,477.881139,521.693184,0,0,0,0,0,0,1
2025-11-03T16:28:54.8818943Z + python benchmarks/dynamo/check_perf_csv.py -f /var/lib/jenkins/workspace/test/test-reports/inductor_inference_yolov3_export-aot-inductor_float32_static_cpu_smoketest.csv -t 1.40687424 -s 0.99
2025-11-03T16:28:55.1266225Z yolov3                             1.517055
2025-11-03T16:28:55.1653802Z + IFS=,
2025-11-03T16:28:55.1654021Z + read -r -a model_cfg
2025-11-03T16:28:55.1654287Z + local model_name=mobilenet_v2
2025-11-03T16:28:55.1654517Z + local data_type=float32
2025-11-03T16:28:55.1654726Z + local speedup_target=2.90375357
2025-11-03T16:28:55.1654968Z + local backend=export-aot-inductor
2025-11-03T16:28:55.1655205Z + [[ default == \c\p\p ]]
2025-11-03T16:28:55.1655758Z + unset TORCHINDUCTOR_CPP_WRAPPER
2025-11-03T16:28:55.1656318Z + local output_name=/var/lib/jenkins/workspace/test/test-reports/inductor_inference_mobilenet_v2_export-aot-inductor_float32_static_cpu_smoketest.csv
2025-11-03T16:28:55.1656850Z + [[ static == \d\y\n\a\m\i\c ]]
2025-11-03T16:28:55.1657761Z + taskset -c 0-93 python benchmarks/dynamo/torchbench.py --inference --performance --float32 -dcpu -n50 --only mobilenet_v2 --freezing --timeout 9000 --export-aot-inductor --output /var/lib/jenkins/workspace/test/test-reports/inductor_inference_mobilenet_v2_export-aot-inductor_float32_static_cpu_smoketest.csv
2025-11-03T16:28:55.4234066Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-11-03T16:28:55.4235582Z   import pynvml  # type: ignore[import]
2025-11-03T16:28:57.1447838Z 
2025-11-03T16:28:57.5035502Z loading model: 0it [00:00, ?it/s]
2025-11-03T16:28:57.5035795Z loading model: 0it [00:00, ?it/s]
2025-11-03T16:28:57.5042912Z cpu  eval  mobilenet_v2                       
2025-11-03T16:28:58.7439787Z skipping cudagraphs due to cpp wrapper enabled
2025-11-03T16:29:12.9734709Z 
2025-11-03T16:29:13.0772668Z running benchmark:   0% 0/50 [00:00<?, ?it/s]
2025-11-03T16:29:13.1854355Z running benchmark:   8% 4/50 [00:00<00:01, 38.57it/s]
2025-11-03T16:29:13.2934200Z running benchmark:  18% 9/50 [00:00<00:00, 43.13it/s]
2025-11-03T16:29:13.4027105Z running benchmark:  28% 14/50 [00:00<00:00, 44.59it/s]
2025-11-03T16:29:13.5106473Z running benchmark:  38% 19/50 [00:00<00:00, 45.05it/s]
2025-11-03T16:29:13.6220256Z running benchmark:  48% 24/50 [00:00<00:00, 45.51it/s]
2025-11-03T16:29:13.7333500Z running benchmark:  58% 29/50 [00:00<00:00, 45.30it/s]
2025-11-03T16:29:13.8411033Z running benchmark:  68% 34/50 [00:00<00:00, 45.17it/s]
2025-11-03T16:29:13.9480526Z running benchmark:  78% 39/50 [00:00<00:00, 45.56it/s]
2025-11-03T16:29:14.0551228Z running benchmark:  88% 44/50 [00:00<00:00, 45.93it/s]
2025-11-03T16:29:14.0767229Z running benchmark:  98% 49/50 [00:01<00:00, 46.16it/s]
2025-11-03T16:29:14.0767793Z running benchmark: 100% 50/50 [00:01<00:00, 45.32it/s]
2025-11-03T16:29:14.0968247Z 3.121x
2025-11-03T16:29:14.0968650Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:29:15.0027322Z + cat /var/lib/jenkins/workspace/test/test-reports/inductor_inference_mobilenet_v2_export-aot-inductor_float32_static_cpu_smoketest.csv
2025-11-03T16:29:15.0041153Z dev,name,batch_size,speedup,abs_latency,compilation_latency,compression_ratio,eager_peak_mem,dynamo_peak_mem,calls_captured,unique_graphs,graph_breaks,unique_graph_breaks,autograd_captures,autograd_compiles,cudagraph_skips
2025-11-03T16:29:15.0041840Z cpu,mobilenet_v2,16,3.121096,4.995555,15.091804,0.947560,184.548966,194.762342,0,0,0,0,0,0,1
2025-11-03T16:29:15.0043058Z + python benchmarks/dynamo/check_perf_csv.py -f /var/lib/jenkins/workspace/test/test-reports/inductor_inference_mobilenet_v2_export-aot-inductor_float32_static_cpu_smoketest.csv -t 2.90375357 -s 0.99
2025-11-03T16:29:15.2505970Z mobilenet_v2                       3.121096
2025-11-03T16:29:15.2885610Z + IFS=,
2025-11-03T16:29:15.2885830Z + read -r -a model_cfg
2025-11-03T16:29:15.2886324Z + local model_name=resnext50_32x4d
2025-11-03T16:29:15.2886558Z + local data_type=float32
2025-11-03T16:29:15.2886783Z + local speedup_target=1.49299689
2025-11-03T16:29:15.2887023Z + local backend=export-aot-inductor
2025-11-03T16:29:15.2887259Z + [[ default == \c\p\p ]]
2025-11-03T16:29:15.2887473Z + unset TORCHINDUCTOR_CPP_WRAPPER
2025-11-03T16:29:15.2888028Z + local output_name=/var/lib/jenkins/workspace/test/test-reports/inductor_inference_resnext50_32x4d_export-aot-inductor_float32_dynamic_cpu_smoketest.csv
2025-11-03T16:29:15.2888561Z + [[ dynamic == \d\y\n\a\m\i\c ]]
2025-11-03T16:29:15.2889587Z + taskset -c 0-93 python benchmarks/dynamo/torchbench.py --inference --performance --float32 -dcpu -n50 --only resnext50_32x4d --dynamic-shapes --dynamic-batch-only --freezing --timeout 9000 --export-aot-inductor --output /var/lib/jenkins/workspace/test/test-reports/inductor_inference_resnext50_32x4d_export-aot-inductor_float32_dynamic_cpu_smoketest.csv
2025-11-03T16:29:15.5596536Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-11-03T16:29:15.5597978Z   import pynvml  # type: ignore[import]
2025-11-03T16:29:17.2806370Z 
2025-11-03T16:29:17.5515297Z loading model: 0it [00:00, ?it/s]Downloading: "https://download.pytorch.org/models/resnext50_32x4d-7cdf4587.pth" to /var/lib/jenkins/.cache/torch/hub/checkpoints/resnext50_32x4d-7cdf4587.pth
2025-11-03T16:29:17.5929298Z 
2025-11-03T16:29:17.6931927Z 
2025-11-03T16:29:17.6932442Z   0% 0.00/95.8M [00:00<?, ?B/s]
2025-11-03T16:29:17.6933484Z 
2025-11-03T16:29:17.7933796Z  37% 35.9M/95.8M [00:00<00:00, 376MB/s]
2025-11-03T16:29:17.7934037Z 
2025-11-03T16:29:17.8662507Z  76% 73.1M/95.8M [00:00<00:00, 384MB/s]
2025-11-03T16:29:17.8662768Z 100% 95.8M/95.8M [00:00<00:00, 368MB/s]
2025-11-03T16:29:18.1287447Z 
2025-11-03T16:29:18.1290119Z loading model: 0it [00:00, ?it/s]
2025-11-03T16:29:18.1297235Z cpu  eval  resnext50_32x4d                    
2025-11-03T16:29:19.3662735Z skipping cudagraphs due to cpp wrapper enabled
2025-11-03T16:29:34.3358795Z 
2025-11-03T16:29:34.4412484Z running benchmark:   0% 0/50 [00:00<?, ?it/s]
2025-11-03T16:29:34.5785719Z running benchmark:   4% 2/50 [00:00<00:02, 18.96it/s]
2025-11-03T16:29:34.7152205Z running benchmark:  10% 5/50 [00:00<00:02, 20.83it/s]
2025-11-03T16:29:34.8524092Z running benchmark:  16% 8/50 [00:00<00:01, 21.37it/s]
2025-11-03T16:29:34.9898383Z running benchmark:  22% 11/50 [00:00<00:01, 21.57it/s]
2025-11-03T16:29:35.1268079Z running benchmark:  28% 14/50 [00:00<00:01, 21.67it/s]
2025-11-03T16:29:35.2816227Z running benchmark:  34% 17/50 [00:00<00:01, 21.75it/s]
2025-11-03T16:29:35.4205599Z running benchmark:  40% 20/50 [00:00<00:01, 20.90it/s]
2025-11-03T16:29:35.5605199Z running benchmark:  46% 23/50 [00:01<00:01, 21.12it/s]
2025-11-03T16:29:35.6973180Z running benchmark:  52% 26/50 [00:01<00:01, 21.22it/s]
2025-11-03T16:29:35.8344164Z running benchmark:  58% 29/50 [00:01<00:00, 21.43it/s]
2025-11-03T16:29:35.9712044Z running benchmark:  64% 32/50 [00:01<00:00, 21.57it/s]
2025-11-03T16:29:36.1078375Z running benchmark:  70% 35/50 [00:01<00:00, 21.68it/s]
2025-11-03T16:29:36.2456448Z running benchmark:  76% 38/50 [00:01<00:00, 21.76it/s]
2025-11-03T16:29:36.3988562Z running benchmark:  82% 41/50 [00:01<00:00, 21.77it/s]
2025-11-03T16:29:36.5354867Z running benchmark:  88% 44/50 [00:02<00:00, 21.06it/s]
2025-11-03T16:29:36.6724244Z running benchmark:  94% 47/50 [00:02<00:00, 21.32it/s]
2025-11-03T16:29:36.6724806Z running benchmark: 100% 50/50 [00:02<00:00, 21.49it/s]
2025-11-03T16:29:36.6725280Z running benchmark: 100% 50/50 [00:02<00:00, 21.39it/s]
2025-11-03T16:29:36.6923109Z 1.915x
2025-11-03T16:29:36.6923874Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:29:37.6244723Z + cat /var/lib/jenkins/workspace/test/test-reports/inductor_inference_resnext50_32x4d_export-aot-inductor_float32_dynamic_cpu_smoketest.csv
2025-11-03T16:29:37.6258296Z dev,name,batch_size,speedup,abs_latency,compilation_latency,compression_ratio,eager_peak_mem,dynamo_peak_mem,calls_captured,unique_graphs,graph_breaks,unique_graph_breaks,autograd_captures,autograd_compiles,cudagraph_skips
2025-11-03T16:29:37.6259098Z cpu,resnext50_32x4d,8,1.915210,15.491992,15.696638,0.876675,169.729638,193.606042,0,0,0,0,0,0,1
2025-11-03T16:29:37.6260052Z + python benchmarks/dynamo/check_perf_csv.py -f /var/lib/jenkins/workspace/test/test-reports/inductor_inference_resnext50_32x4d_export-aot-inductor_float32_dynamic_cpu_smoketest.csv -t 1.49299689 -s 0.99
2025-11-03T16:29:37.8760115Z resnext50_32x4d                    1.91521
2025-11-03T16:29:37.9146213Z + IFS=,
2025-11-03T16:29:37.9146482Z + read -r -a model_cfg
2025-11-03T16:29:37.9146711Z + local model_name=resnext50_32x4d
2025-11-03T16:29:37.9146943Z + local data_type=amp
2025-11-03T16:29:37.9147157Z + local speedup_target=1.47023111
2025-11-03T16:29:37.9147381Z + local backend=inductor
2025-11-03T16:29:37.9147590Z + [[ default == \c\p\p ]]
2025-11-03T16:29:37.9147801Z + unset TORCHINDUCTOR_CPP_WRAPPER
2025-11-03T16:29:37.9148328Z + local output_name=/var/lib/jenkins/workspace/test/test-reports/inductor_inference_resnext50_32x4d_inductor_amp_static_cpu_smoketest.csv
2025-11-03T16:29:37.9148843Z + [[ static == \d\y\n\a\m\i\c ]]
2025-11-03T16:29:37.9149708Z + taskset -c 0-93 python benchmarks/dynamo/torchbench.py --inference --performance --amp -dcpu -n50 --only resnext50_32x4d --freezing --timeout 9000 --inductor --output /var/lib/jenkins/workspace/test/test-reports/inductor_inference_resnext50_32x4d_inductor_amp_static_cpu_smoketest.csv
2025-11-03T16:29:38.1724310Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-11-03T16:29:38.1725752Z   import pynvml  # type: ignore[import]
2025-11-03T16:29:39.8878380Z 
2025-11-03T16:29:40.4065094Z loading model: 0it [00:00, ?it/s]
2025-11-03T16:29:40.4065406Z loading model: 0it [00:00, ?it/s]
2025-11-03T16:29:40.4065654Z cpu  eval  resnext50_32x4d                    
2025-11-03T16:29:46.3082135Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:46.3082594Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:46.3082931Z     return mod(*inputs)
2025-11-03T16:29:46.3083289Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:29:46.3083647Z     return self._forward_impl(x)
2025-11-03T16:29:46.3084030Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 268, in _forward_impl
2025-11-03T16:29:46.3084378Z     x = self.conv1(x)
2025-11-03T16:29:46.3084480Z 
2025-11-03T16:29:46.3084591Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:46.3084944Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:46.3085253Z     return mod(*inputs)
2025-11-03T16:29:46.3085572Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:29:46.3085914Z     return self._forward_impl(x)
2025-11-03T16:29:46.3086259Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 270, in _forward_impl
2025-11-03T16:29:46.3086596Z     x = self.relu(x)
2025-11-03T16:29:46.3086693Z 
2025-11-03T16:29:46.3086803Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:46.3087464Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:46.3087780Z     return mod(*inputs)
2025-11-03T16:29:46.3088262Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:29:46.3088596Z     return self._forward_impl(x)
2025-11-03T16:29:46.3088931Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 270, in _forward_impl
2025-11-03T16:29:46.3089266Z     x = self.relu(x)
2025-11-03T16:29:46.3089364Z 
2025-11-03T16:29:46.3089462Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:46.3089805Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:46.3090104Z     return mod(*inputs)
2025-11-03T16:29:46.3090406Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:29:46.3090727Z     return self._forward_impl(x)
2025-11-03T16:29:46.3091067Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 271, in _forward_impl
2025-11-03T16:29:46.3091413Z     x = self.maxpool(x)
2025-11-03T16:29:46.3091507Z 
2025-11-03T16:29:46.3091614Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:46.3091939Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:46.3092238Z     return mod(*inputs)
2025-11-03T16:29:46.3092544Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:29:46.3092875Z     return self._forward_impl(x)
2025-11-03T16:29:46.3093209Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-11-03T16:29:46.3093536Z     x = self.layer1(x)
2025-11-03T16:29:46.3093838Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-11-03T16:29:46.3094166Z     out = self.relu(out)
2025-11-03T16:29:46.3094268Z 
2025-11-03T16:29:46.3094373Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:46.3094699Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:46.3094994Z     return mod(*inputs)
2025-11-03T16:29:46.3095291Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:29:46.3095726Z     return self._forward_impl(x)
2025-11-03T16:29:46.3096063Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-11-03T16:29:46.3096392Z     x = self.layer1(x)
2025-11-03T16:29:46.3096701Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-11-03T16:29:46.3097029Z     out = self.relu(out)
2025-11-03T16:29:46.3097132Z 
2025-11-03T16:29:46.3097242Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:46.3097586Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:46.3097886Z     return mod(*inputs)
2025-11-03T16:29:46.3098198Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:29:46.3098529Z     return self._forward_impl(x)
2025-11-03T16:29:46.3098873Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-11-03T16:29:46.3099210Z     x = self.layer1(x)
2025-11-03T16:29:46.3099512Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-11-03T16:29:46.3099837Z     out = self.relu(out)
2025-11-03T16:29:46.3099938Z 
2025-11-03T16:29:46.3100045Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:46.3100458Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:46.3100781Z     return mod(*inputs)
2025-11-03T16:29:46.3101090Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:29:46.3101424Z     return self._forward_impl(x)
2025-11-03T16:29:46.3101780Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-11-03T16:29:46.3102121Z     x = self.layer1(x)
2025-11-03T16:29:46.3102432Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-11-03T16:29:46.3102778Z     out = self.relu(out)
2025-11-03T16:29:46.3102876Z 
2025-11-03T16:29:46.3102977Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:46.3103312Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:46.3103602Z     return mod(*inputs)
2025-11-03T16:29:46.3103909Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:29:46.3104241Z     return self._forward_impl(x)
2025-11-03T16:29:46.3104576Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-11-03T16:29:46.3104898Z     x = self.layer1(x)
2025-11-03T16:29:46.3105196Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-11-03T16:29:46.3105522Z     out = self.relu(out)
2025-11-03T16:29:46.3105621Z 
2025-11-03T16:29:46.3105727Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:46.3106060Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:46.3106351Z     return mod(*inputs)
2025-11-03T16:29:46.3106654Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:29:46.3106985Z     return self._forward_impl(x)
2025-11-03T16:29:46.3107320Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-11-03T16:29:46.3107647Z     x = self.layer1(x)
2025-11-03T16:29:46.3107949Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-11-03T16:29:46.3108270Z     out = self.relu(out)
2025-11-03T16:29:46.3108366Z 
2025-11-03T16:29:46.3108453Z cudagraph partition due to non gpu ops
2025-11-03T16:29:46.3108716Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:46.3109054Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:46.3109354Z     return mod(*inputs)
2025-11-03T16:29:46.3109661Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:29:46.3109988Z     return self._forward_impl(x)
2025-11-03T16:29:46.3110317Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-11-03T16:29:46.3110652Z     x = self.layer1(x)
2025-11-03T16:29:46.3110953Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-11-03T16:29:46.3111274Z     out = self.relu(out)
2025-11-03T16:29:46.3111371Z 
2025-11-03T16:29:46.3111474Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:46.3111808Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:46.3112109Z     return mod(*inputs)
2025-11-03T16:29:46.3112411Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:29:46.3112737Z     return self._forward_impl(x)
2025-11-03T16:29:46.3113063Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-11-03T16:29:46.3113433Z     x = self.layer1(x)
2025-11-03T16:29:46.3113742Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-11-03T16:29:46.3114070Z     out = self.relu(out)
2025-11-03T16:29:46.3114168Z 
2025-11-03T16:29:46.3114270Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:46.3114599Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:46.3114902Z     return mod(*inputs)
2025-11-03T16:29:46.3115204Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:29:46.3115533Z     return self._forward_impl(x)
2025-11-03T16:29:46.3115858Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-11-03T16:29:46.3116197Z     x = self.layer1(x)
2025-11-03T16:29:46.3116497Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-11-03T16:29:46.3116818Z     out = self.relu(out)
2025-11-03T16:29:46.3116915Z 
2025-11-03T16:29:46.3117016Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:46.3117342Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:46.3117640Z     return mod(*inputs)
2025-11-03T16:29:46.3117947Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:29:46.3118281Z     return self._forward_impl(x)
2025-11-03T16:29:46.3118611Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-11-03T16:29:46.3118946Z     x = self.layer1(x)
2025-11-03T16:29:46.3119249Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-11-03T16:29:46.3119574Z     out = self.relu(out)
2025-11-03T16:29:46.3119671Z 
2025-11-03T16:29:46.3119758Z cudagraph partition due to non gpu ops
2025-11-03T16:29:46.3119980Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:46.3120321Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:46.3120621Z     return mod(*inputs)
2025-11-03T16:29:46.3120926Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:29:46.3121281Z     return self._forward_impl(x)
2025-11-03T16:29:46.3121618Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-11-03T16:29:46.3121950Z     x = self.layer1(x)
2025-11-03T16:29:46.3122251Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-11-03T16:29:46.3122562Z     out = self.relu(out)
2025-11-03T16:29:46.3122666Z 
2025-11-03T16:29:46.3122762Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:46.3123104Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:46.3123402Z     return mod(*inputs)
2025-11-03T16:29:46.3123707Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:29:46.3124025Z     return self._forward_impl(x)
2025-11-03T16:29:46.3124359Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-11-03T16:29:46.3124689Z     x = self.layer1(x)
2025-11-03T16:29:46.3124990Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-11-03T16:29:46.3125307Z     out = self.relu(out)
2025-11-03T16:29:46.3125415Z 
2025-11-03T16:29:46.3125510Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:46.3125846Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:46.3126214Z     return mod(*inputs)
2025-11-03T16:29:46.3126521Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:29:46.3126841Z     return self._forward_impl(x)
2025-11-03T16:29:46.3127174Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-11-03T16:29:46.3127504Z     x = self.layer1(x)
2025-11-03T16:29:46.3127803Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-11-03T16:29:46.3128122Z     out = self.relu(out)
2025-11-03T16:29:46.3128231Z 
2025-11-03T16:29:46.3128330Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:46.3128666Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:46.3128970Z     return mod(*inputs)
2025-11-03T16:29:46.3129278Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:29:46.3129608Z     return self._forward_impl(x)
2025-11-03T16:29:46.3129941Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-11-03T16:29:46.3130279Z     x = self.layer1(x)
2025-11-03T16:29:46.3130579Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-11-03T16:29:46.3130898Z     out = self.relu(out)
2025-11-03T16:29:46.3131001Z 
2025-11-03T16:29:46.3131079Z cudagraph partition due to non gpu ops
2025-11-03T16:29:46.3131308Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:46.3131648Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:46.3131945Z     return mod(*inputs)
2025-11-03T16:29:46.3132242Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:29:46.3132574Z     return self._forward_impl(x)
2025-11-03T16:29:46.3132909Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-11-03T16:29:46.3133242Z     x = self.layer2(x)
2025-11-03T16:29:46.3133535Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-11-03T16:29:46.3133859Z     out = self.relu(out)
2025-11-03T16:29:46.3133965Z 
2025-11-03T16:29:46.3134099Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:46.3134442Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:46.3134743Z     return mod(*inputs)
2025-11-03T16:29:46.3135042Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:29:46.3135370Z     return self._forward_impl(x)
2025-11-03T16:29:46.3135708Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-11-03T16:29:46.3136047Z     x = self.layer2(x)
2025-11-03T16:29:46.3136337Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-11-03T16:29:46.3136690Z     out = self.relu(out)
2025-11-03T16:29:46.3136796Z 
2025-11-03T16:29:46.3136894Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:46.3137233Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:46.3137534Z     return mod(*inputs)
2025-11-03T16:29:46.3137828Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:29:46.3138157Z     return self._forward_impl(x)
2025-11-03T16:29:46.3138490Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-11-03T16:29:46.3138825Z     x = self.layer2(x)
2025-11-03T16:29:46.3139150Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-11-03T16:29:46.3139478Z     out = self.relu(out)
2025-11-03T16:29:46.3139586Z 
2025-11-03T16:29:46.3139684Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:46.3140026Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:46.3140330Z     return mod(*inputs)
2025-11-03T16:29:46.3140627Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:29:46.3140958Z     return self._forward_impl(x)
2025-11-03T16:29:46.3141296Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-11-03T16:29:46.3141632Z     x = self.layer2(x)
2025-11-03T16:29:46.3141928Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-11-03T16:29:46.3142255Z     out = self.relu(out)
2025-11-03T16:29:46.3142363Z 
2025-11-03T16:29:46.3142460Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:46.3142800Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:46.3143106Z     return mod(*inputs)
2025-11-03T16:29:46.3143400Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:29:46.3143733Z     return self._forward_impl(x)
2025-11-03T16:29:46.3144069Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-11-03T16:29:46.3144408Z     x = self.layer2(x)
2025-11-03T16:29:46.3144702Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-11-03T16:29:46.3145025Z     out = self.relu(out)
2025-11-03T16:29:46.3145130Z 
2025-11-03T16:29:46.3145229Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:46.3145571Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:46.3145874Z     return mod(*inputs)
2025-11-03T16:29:46.3146171Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:29:46.3146501Z     return self._forward_impl(x)
2025-11-03T16:29:46.3146832Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-11-03T16:29:46.3147198Z     x = self.layer2(x)
2025-11-03T16:29:46.3147489Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-11-03T16:29:46.3147807Z     out = self.relu(out)
2025-11-03T16:29:46.3147916Z 
2025-11-03T16:29:46.3147995Z cudagraph partition due to non gpu ops
2025-11-03T16:29:46.3148225Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:46.3148569Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:46.3148860Z     return mod(*inputs)
2025-11-03T16:29:46.3149165Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:29:46.3149491Z     return self._forward_impl(x)
2025-11-03T16:29:46.3149821Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-11-03T16:29:46.3150146Z     x = self.layer2(x)
2025-11-03T16:29:46.3150448Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-11-03T16:29:46.3150770Z     out = self.relu(out)
2025-11-03T16:29:46.3150868Z 
2025-11-03T16:29:46.3150972Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:46.3151309Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:46.3152665Z     return mod(*inputs)
2025-11-03T16:29:46.3152979Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:29:46.3153305Z     return self._forward_impl(x)
2025-11-03T16:29:46.3153718Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-11-03T16:29:46.3154048Z     x = self.layer2(x)
2025-11-03T16:29:46.3154352Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-11-03T16:29:46.3154682Z     out = self.relu(out)
2025-11-03T16:29:46.3154785Z 
2025-11-03T16:29:46.3154893Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:46.3155233Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:46.3155526Z     return mod(*inputs)
2025-11-03T16:29:46.3155838Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:29:46.3156171Z     return self._forward_impl(x)
2025-11-03T16:29:46.3156509Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-11-03T16:29:46.3156842Z     x = self.layer2(x)
2025-11-03T16:29:46.3157146Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-11-03T16:29:46.3157474Z     out = self.relu(out)
2025-11-03T16:29:46.3157576Z 
2025-11-03T16:29:46.3157681Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:46.3158017Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:46.3158312Z     return mod(*inputs)
2025-11-03T16:29:46.3158615Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:29:46.3158943Z     return self._forward_impl(x)
2025-11-03T16:29:46.3159276Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-11-03T16:29:46.3159604Z     x = self.layer2(x)
2025-11-03T16:29:46.3159904Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-11-03T16:29:46.3160225Z     out = self.relu(out)
2025-11-03T16:29:46.3160322Z 
2025-11-03T16:29:46.3160407Z cudagraph partition due to non gpu ops
2025-11-03T16:29:46.3160637Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:46.3161038Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:46.3161340Z     return mod(*inputs)
2025-11-03T16:29:46.3161641Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:29:46.3161970Z     return self._forward_impl(x)
2025-11-03T16:29:46.3162295Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-11-03T16:29:46.3162638Z     x = self.layer2(x)
2025-11-03T16:29:46.3162944Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-11-03T16:29:46.3163270Z     out = self.relu(out)
2025-11-03T16:29:46.3163368Z 
2025-11-03T16:29:46.3163472Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:46.3163804Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:46.3164111Z     return mod(*inputs)
2025-11-03T16:29:46.3164418Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:29:46.3164745Z     return self._forward_impl(x)
2025-11-03T16:29:46.3165069Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-11-03T16:29:46.3165405Z     x = self.layer2(x)
2025-11-03T16:29:46.3165760Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-11-03T16:29:46.3166087Z     out = self.relu(out)
2025-11-03T16:29:46.3166184Z 
2025-11-03T16:29:46.3166290Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:46.3166629Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:46.3166933Z     return mod(*inputs)
2025-11-03T16:29:46.3167241Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:29:46.3167576Z     return self._forward_impl(x)
2025-11-03T16:29:46.3167909Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-11-03T16:29:46.3168252Z     x = self.layer2(x)
2025-11-03T16:29:46.3168555Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-11-03T16:29:46.3168894Z     out = self.relu(out)
2025-11-03T16:29:46.3168996Z 
2025-11-03T16:29:46.3169103Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:46.3169439Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:46.3169756Z     return mod(*inputs)
2025-11-03T16:29:46.3170068Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:29:46.3170406Z     return self._forward_impl(x)
2025-11-03T16:29:46.3170744Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-11-03T16:29:46.3171088Z     x = self.layer2(x)
2025-11-03T16:29:46.3171393Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-11-03T16:29:46.3171722Z     out = self.relu(out)
2025-11-03T16:29:46.3171821Z 
2025-11-03T16:29:46.3171907Z cudagraph partition due to non gpu ops
2025-11-03T16:29:46.3172133Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:46.3172478Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:46.3172783Z     return mod(*inputs)
2025-11-03T16:29:46.3173092Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:29:46.3173421Z     return self._forward_impl(x)
2025-11-03T16:29:46.3173762Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-11-03T16:29:46.3174151Z     x = self.layer2(x)
2025-11-03T16:29:46.3174459Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-11-03T16:29:46.3174783Z     out = self.relu(out)
2025-11-03T16:29:46.3174881Z 
2025-11-03T16:29:46.3174978Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:46.3175321Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:46.3175627Z     return mod(*inputs)
2025-11-03T16:29:46.3175934Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:29:46.3176256Z     return self._forward_impl(x)
2025-11-03T16:29:46.3176595Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-11-03T16:29:46.3176937Z     x = self.layer2(x)
2025-11-03T16:29:46.3177244Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-11-03T16:29:46.3177573Z     out = self.relu(out)
2025-11-03T16:29:46.3177674Z 
2025-11-03T16:29:46.3177771Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:46.3178113Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:46.3178418Z     return mod(*inputs)
2025-11-03T16:29:46.3178759Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:29:46.3179091Z     return self._forward_impl(x)
2025-11-03T16:29:46.3179424Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-11-03T16:29:46.3179757Z     x = self.layer2(x)
2025-11-03T16:29:46.3180057Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-11-03T16:29:46.3180383Z     out = self.relu(out)
2025-11-03T16:29:46.3180480Z 
2025-11-03T16:29:46.3180579Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:46.3180919Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:46.3181218Z     return mod(*inputs)
2025-11-03T16:29:46.3181523Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:29:46.3181849Z     return self._forward_impl(x)
2025-11-03T16:29:46.3182181Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-11-03T16:29:46.3182514Z     x = self.layer2(x)
2025-11-03T16:29:46.3182816Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-11-03T16:29:46.3183139Z     out = self.relu(out)
2025-11-03T16:29:46.3183239Z 
2025-11-03T16:29:46.3183320Z cudagraph partition due to non gpu ops
2025-11-03T16:29:46.3183551Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:46.3183892Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:46.3184190Z     return mod(*inputs)
2025-11-03T16:29:46.3184486Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:29:46.3184815Z     return self._forward_impl(x)
2025-11-03T16:29:46.3185152Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-11-03T16:29:46.3185487Z     x = self.layer3(x)
2025-11-03T16:29:46.3185790Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-11-03T16:29:46.3186101Z     out = self.relu(out)
2025-11-03T16:29:46.3186205Z 
2025-11-03T16:29:46.3186301Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:46.3186670Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:46.3186971Z     return mod(*inputs)
2025-11-03T16:29:46.3187267Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:29:46.3187594Z     return self._forward_impl(x)
2025-11-03T16:29:46.3187927Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-11-03T16:29:46.3188262Z     x = self.layer3(x)
2025-11-03T16:29:46.3188560Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-11-03T16:29:46.3188872Z     out = self.relu(out)
2025-11-03T16:29:46.3188978Z 
2025-11-03T16:29:46.3189074Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:46.3189410Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:46.3189714Z     return mod(*inputs)
2025-11-03T16:29:46.3190008Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:29:46.3190333Z     return self._forward_impl(x)
2025-11-03T16:29:46.3190663Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-11-03T16:29:46.3191002Z     x = self.layer3(x)
2025-11-03T16:29:46.3191333Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-11-03T16:29:46.3191650Z     out = self.relu(out)
2025-11-03T16:29:46.3191753Z 
2025-11-03T16:29:46.3191851Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:46.3192190Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:46.3192494Z     return mod(*inputs)
2025-11-03T16:29:46.3192793Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:29:46.3193128Z     return self._forward_impl(x)
2025-11-03T16:29:46.3193463Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-11-03T16:29:46.3193808Z     x = self.layer3(x)
2025-11-03T16:29:46.3194123Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-11-03T16:29:46.3194441Z     out = self.relu(out)
2025-11-03T16:29:46.3194549Z 
2025-11-03T16:29:46.3194650Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:46.3194989Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:46.3195288Z     return mod(*inputs)
2025-11-03T16:29:46.3195583Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:29:46.3195912Z     return self._forward_impl(x)
2025-11-03T16:29:46.3196249Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-11-03T16:29:46.3196586Z     x = self.layer3(x)
2025-11-03T16:29:46.3196887Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-11-03T16:29:46.3197202Z     out = self.relu(out)
2025-11-03T16:29:46.3197311Z 
2025-11-03T16:29:46.3197408Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:46.3197750Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:46.3198052Z     return mod(*inputs)
2025-11-03T16:29:46.3198350Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:29:46.3198677Z     return self._forward_impl(x)
2025-11-03T16:29:46.3199013Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-11-03T16:29:46.3199381Z     x = self.layer3(x)
2025-11-03T16:29:46.3199683Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-11-03T16:29:46.3199998Z     out = self.relu(out)
2025-11-03T16:29:46.3200106Z 
2025-11-03T16:29:46.3200184Z cudagraph partition due to non gpu ops
2025-11-03T16:29:46.3200413Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:46.3200756Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:46.3201054Z     return mod(*inputs)
2025-11-03T16:29:46.3201361Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:29:46.3201691Z     return self._forward_impl(x)
2025-11-03T16:29:46.3202027Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-11-03T16:29:46.3202356Z     x = self.layer3(x)
2025-11-03T16:29:46.3202650Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-11-03T16:29:46.3202980Z     out = self.relu(out)
2025-11-03T16:29:46.3203088Z 
2025-11-03T16:29:46.3203184Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:46.3203523Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:46.3203819Z     return mod(*inputs)
2025-11-03T16:29:46.3204160Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:29:46.3204501Z     return self._forward_impl(x)
2025-11-03T16:29:46.3204836Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-11-03T16:29:46.3205177Z     x = self.layer3(x)
2025-11-03T16:29:46.3205469Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-11-03T16:29:46.3205796Z     out = self.relu(out)
2025-11-03T16:29:46.3205905Z 
2025-11-03T16:29:46.3206003Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:46.3206350Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:46.3206647Z     return mod(*inputs)
2025-11-03T16:29:46.3206955Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:29:46.3207302Z     return self._forward_impl(x)
2025-11-03T16:29:46.3207644Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-11-03T16:29:46.3207983Z     x = self.layer3(x)
2025-11-03T16:29:46.3208280Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-11-03T16:29:46.3208608Z     out = self.relu(out)
2025-11-03T16:29:46.3208715Z 
2025-11-03T16:29:46.3208812Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:46.3209160Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:46.3209461Z     return mod(*inputs)
2025-11-03T16:29:46.3209769Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:29:46.3210101Z     return self._forward_impl(x)
2025-11-03T16:29:46.3210441Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-11-03T16:29:46.3210779Z     x = self.layer3(x)
2025-11-03T16:29:46.3211073Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-11-03T16:29:46.3211397Z     out = self.relu(out)
2025-11-03T16:29:46.3211503Z 
2025-11-03T16:29:46.3211583Z cudagraph partition due to non gpu ops
2025-11-03T16:29:46.3211812Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:46.3212145Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:46.3212486Z     return mod(*inputs)
2025-11-03T16:29:46.3212792Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:29:46.3213122Z     return self._forward_impl(x)
2025-11-03T16:29:46.3213457Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-11-03T16:29:46.3213794Z     x = self.layer3(x)
2025-11-03T16:29:46.3214098Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-11-03T16:29:46.3214421Z     out = self.relu(out)
2025-11-03T16:29:46.3214517Z 
2025-11-03T16:29:46.3214620Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:46.3214952Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:46.3215251Z     return mod(*inputs)
2025-11-03T16:29:46.3215558Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:29:46.3215889Z     return self._forward_impl(x)
2025-11-03T16:29:46.3216223Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-11-03T16:29:46.3216550Z     x = self.layer3(x)
2025-11-03T16:29:46.3216888Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-11-03T16:29:46.3217216Z     out = self.relu(out)
2025-11-03T16:29:46.3217316Z 
2025-11-03T16:29:46.3217424Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:46.3217761Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:46.3218068Z     return mod(*inputs)
2025-11-03T16:29:46.3218377Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:29:46.3218717Z     return self._forward_impl(x)
2025-11-03T16:29:46.3219056Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-11-03T16:29:46.3219392Z     x = self.layer3(x)
2025-11-03T16:29:46.3219701Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-11-03T16:29:46.3220032Z     out = self.relu(out)
2025-11-03T16:29:46.3220133Z 
2025-11-03T16:29:46.3220243Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:46.3220583Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:46.3220892Z     return mod(*inputs)
2025-11-03T16:29:46.3221205Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:29:46.3221544Z     return self._forward_impl(x)
2025-11-03T16:29:46.3221889Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-11-03T16:29:46.3222231Z     x = self.layer3(x)
2025-11-03T16:29:46.3222545Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-11-03T16:29:46.3222875Z     out = self.relu(out)
2025-11-03T16:29:46.3222975Z 
2025-11-03T16:29:46.3223063Z cudagraph partition due to non gpu ops
2025-11-03T16:29:46.3223292Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:46.3223646Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:46.3223952Z     return mod(*inputs)
2025-11-03T16:29:46.3224261Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:29:46.3224597Z     return self._forward_impl(x)
2025-11-03T16:29:46.3224930Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-11-03T16:29:46.3225316Z     x = self.layer3(x)
2025-11-03T16:29:46.3225618Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-11-03T16:29:46.3225942Z     out = self.relu(out)
2025-11-03T16:29:46.3226040Z 
2025-11-03T16:29:46.3226137Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:46.3226477Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:46.3226781Z     return mod(*inputs)
2025-11-03T16:29:46.3227088Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:29:46.3227421Z     return self._forward_impl(x)
2025-11-03T16:29:46.3227745Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-11-03T16:29:46.3228075Z     x = self.layer3(x)
2025-11-03T16:29:46.3228377Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-11-03T16:29:46.3228706Z     out = self.relu(out)
2025-11-03T16:29:46.3228804Z 
2025-11-03T16:29:46.3228900Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:46.3229235Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:46.3229534Z     return mod(*inputs)
2025-11-03T16:29:46.3229870Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:29:46.3230199Z     return self._forward_impl(x)
2025-11-03T16:29:46.3230526Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-11-03T16:29:46.3230860Z     x = self.layer3(x)
2025-11-03T16:29:46.3231160Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-11-03T16:29:46.3231486Z     out = self.relu(out)
2025-11-03T16:29:46.3231587Z 
2025-11-03T16:29:46.3231684Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:46.3232025Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:46.3232327Z     return mod(*inputs)
2025-11-03T16:29:46.3232635Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:29:46.3232967Z     return self._forward_impl(x)
2025-11-03T16:29:46.3233298Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-11-03T16:29:46.3233632Z     x = self.layer3(x)
2025-11-03T16:29:46.3233931Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-11-03T16:29:46.3234256Z     out = self.relu(out)
2025-11-03T16:29:46.3234353Z 
2025-11-03T16:29:46.3234428Z cudagraph partition due to non gpu ops
2025-11-03T16:29:46.3234659Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:46.3234997Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:46.3235304Z     return mod(*inputs)
2025-11-03T16:29:46.3235609Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:29:46.3235933Z     return self._forward_impl(x)
2025-11-03T16:29:46.3236272Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-11-03T16:29:46.3236610Z     x = self.layer3(x)
2025-11-03T16:29:46.3236912Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-11-03T16:29:46.3237231Z     out = self.relu(out)
2025-11-03T16:29:46.3237336Z 
2025-11-03T16:29:46.3237432Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:46.3237770Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:46.3238103Z     return mod(*inputs)
2025-11-03T16:29:46.3238406Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:29:46.3238726Z     return self._forward_impl(x)
2025-11-03T16:29:46.3239064Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-11-03T16:29:46.3239400Z     x = self.layer3(x)
2025-11-03T16:29:46.3239703Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-11-03T16:29:46.3240019Z     out = self.relu(out)
2025-11-03T16:29:46.3240123Z 
2025-11-03T16:29:46.3240220Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:46.3240563Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:46.3240865Z     return mod(*inputs)
2025-11-03T16:29:46.3241172Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:29:46.3241491Z     return self._forward_impl(x)
2025-11-03T16:29:46.3241825Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-11-03T16:29:46.3242158Z     x = self.layer3(x)
2025-11-03T16:29:46.3242456Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-11-03T16:29:46.3242805Z     out = self.relu(out)
2025-11-03T16:29:46.3242915Z 
2025-11-03T16:29:46.3243013Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:46.3243350Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:46.3243648Z     return mod(*inputs)
2025-11-03T16:29:46.3243952Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:29:46.3244272Z     return self._forward_impl(x)
2025-11-03T16:29:46.3244604Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-11-03T16:29:46.3244933Z     x = self.layer3(x)
2025-11-03T16:29:46.3245230Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-11-03T16:29:46.3245543Z     out = self.relu(out)
2025-11-03T16:29:46.3245649Z 
2025-11-03T16:29:46.3245726Z cudagraph partition due to non gpu ops
2025-11-03T16:29:46.3245953Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:46.3246287Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:46.3246587Z     return mod(*inputs)
2025-11-03T16:29:46.3246883Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:29:46.3247207Z     return self._forward_impl(x)
2025-11-03T16:29:46.3247545Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-11-03T16:29:46.3247878Z     x = self.layer3(x)
2025-11-03T16:29:46.3248170Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-11-03T16:29:46.3248497Z     out = self.relu(out)
2025-11-03T16:29:46.3248604Z 
2025-11-03T16:29:46.3248700Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:46.3249041Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:46.3249346Z     return mod(*inputs)
2025-11-03T16:29:46.3249644Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:29:46.3249975Z     return self._forward_impl(x)
2025-11-03T16:29:46.3250307Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-11-03T16:29:46.3251000Z     x = self.layer3(x)
2025-11-03T16:29:46.3251295Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-11-03T16:29:46.3251627Z     out = self.relu(out)
2025-11-03T16:29:46.3251736Z 
2025-11-03T16:29:46.3251834Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:46.3252181Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:46.3252486Z     return mod(*inputs)
2025-11-03T16:29:46.3252789Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:29:46.3253119Z     return self._forward_impl(x)
2025-11-03T16:29:46.3253455Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-11-03T16:29:46.3253831Z     x = self.layer3(x)
2025-11-03T16:29:46.3254127Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-11-03T16:29:46.3254463Z     out = self.relu(out)
2025-11-03T16:29:46.3254571Z 
2025-11-03T16:29:46.3254671Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:46.3255018Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:46.3255328Z     return mod(*inputs)
2025-11-03T16:29:46.3255628Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:29:46.3256057Z     return self._forward_impl(x)
2025-11-03T16:29:46.3256394Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-11-03T16:29:46.3256741Z     x = self.layer3(x)
2025-11-03T16:29:46.3257038Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-11-03T16:29:46.3257368Z     out = self.relu(out)
2025-11-03T16:29:46.3257482Z 
2025-11-03T16:29:46.3257560Z cudagraph partition due to non gpu ops
2025-11-03T16:29:46.3257798Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:46.3258149Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:46.3258455Z     return mod(*inputs)
2025-11-03T16:29:46.3258772Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:29:46.3259113Z     return self._forward_impl(x)
2025-11-03T16:29:46.3259462Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-11-03T16:29:46.3259800Z     x = self.layer4(x)
2025-11-03T16:29:46.3260106Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-11-03T16:29:46.3260436Z     out = self.relu(out)
2025-11-03T16:29:46.3260534Z 
2025-11-03T16:29:46.3260644Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:46.3260996Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:46.3261298Z     return mod(*inputs)
2025-11-03T16:29:46.3261612Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:29:46.3261952Z     return self._forward_impl(x)
2025-11-03T16:29:46.3262300Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-11-03T16:29:46.3262637Z     x = self.layer4(x)
2025-11-03T16:29:46.3262946Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-11-03T16:29:46.3263278Z     out = self.relu(out)
2025-11-03T16:29:46.3263379Z 
2025-11-03T16:29:46.3263486Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:46.3263841Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:46.3264195Z     return mod(*inputs)
2025-11-03T16:29:46.3264511Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:29:46.3264853Z     return self._forward_impl(x)
2025-11-03T16:29:46.3265196Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-11-03T16:29:46.3265533Z     x = self.layer4(x)
2025-11-03T16:29:46.3265846Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-11-03T16:29:46.3266183Z     out = self.relu(out)
2025-11-03T16:29:46.3266283Z 
2025-11-03T16:29:46.3266392Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:46.3266737Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:46.3267036Z     return mod(*inputs)
2025-11-03T16:29:46.3267353Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:29:46.3267703Z     return self._forward_impl(x)
2025-11-03T16:29:46.3268051Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-11-03T16:29:46.3268390Z     x = self.layer4(x)
2025-11-03T16:29:46.3268698Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-11-03T16:29:46.3269035Z     out = self.relu(out)
2025-11-03T16:29:46.3269183Z 
2025-11-03T16:29:46.3269291Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:46.3269641Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:46.3269941Z     return mod(*inputs)
2025-11-03T16:29:46.3270253Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:29:46.3270596Z     return self._forward_impl(x)
2025-11-03T16:29:46.3270941Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-11-03T16:29:46.3271279Z     x = self.layer4(x)
2025-11-03T16:29:46.3271587Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-11-03T16:29:46.3271915Z     out = self.relu(out)
2025-11-03T16:29:46.3272014Z 
2025-11-03T16:29:46.3272121Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:46.3272470Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:46.3272770Z     return mod(*inputs)
2025-11-03T16:29:46.3273082Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:29:46.3273418Z     return self._forward_impl(x)
2025-11-03T16:29:46.3273760Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-11-03T16:29:46.3274095Z     x = self.layer4(x)
2025-11-03T16:29:46.3274403Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-11-03T16:29:46.3274735Z     out = self.relu(out)
2025-11-03T16:29:46.3274834Z 
2025-11-03T16:29:46.3274920Z cudagraph partition due to non gpu ops
2025-11-03T16:29:46.3275151Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:46.3275491Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:46.3275799Z     return mod(*inputs)
2025-11-03T16:29:46.3276111Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:29:46.3276443Z     return self._forward_impl(x)
2025-11-03T16:29:46.3276774Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-11-03T16:29:46.3277116Z     x = self.layer4(x)
2025-11-03T16:29:46.3277454Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-11-03T16:29:46.3277785Z     out = self.relu(out)
2025-11-03T16:29:46.3277885Z 
2025-11-03T16:29:46.3277993Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:46.3278332Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:46.3278638Z     return mod(*inputs)
2025-11-03T16:29:46.3278954Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:29:46.3279294Z     return self._forward_impl(x)
2025-11-03T16:29:46.3279626Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-11-03T16:29:46.3279968Z     x = self.layer4(x)
2025-11-03T16:29:46.3280272Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-11-03T16:29:46.3280609Z     out = self.relu(out)
2025-11-03T16:29:46.3280709Z 
2025-11-03T16:29:46.3280813Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:46.3281151Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:46.3281455Z     return mod(*inputs)
2025-11-03T16:29:46.3281767Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:29:46.3282129Z     return self._forward_impl(x)
2025-11-03T16:29:46.3282468Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-11-03T16:29:46.3282814Z     x = self.layer4(x)
2025-11-03T16:29:46.3283126Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-11-03T16:29:46.3283460Z     out = self.relu(out)
2025-11-03T16:29:46.3283560Z 
2025-11-03T16:29:46.3283670Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:46.3284018Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:46.3284331Z     return mod(*inputs)
2025-11-03T16:29:46.3284643Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:29:46.3284986Z     return self._forward_impl(x)
2025-11-03T16:29:46.3285323Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-11-03T16:29:46.3285667Z     x = self.layer4(x)
2025-11-03T16:29:46.3285976Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-11-03T16:29:46.3286311Z     out = self.relu(out)
2025-11-03T16:29:46.3286411Z 
2025-11-03T16:29:46.3286497Z cudagraph partition due to non gpu ops
2025-11-03T16:29:46.3286728Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:46.3287083Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:46.3287401Z     return mod(*inputs)
2025-11-03T16:29:46.3287714Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:29:46.3288055Z     return self._forward_impl(x)
2025-11-03T16:29:46.3288401Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-11-03T16:29:46.3288752Z     x = self.layer4(x)
2025-11-03T16:29:46.3289078Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-11-03T16:29:46.3289419Z     out = self.relu(out)
2025-11-03T16:29:46.3289519Z 
2025-11-03T16:29:46.3289620Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:46.3289971Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:46.3290319Z     return mod(*inputs)
2025-11-03T16:29:46.3290630Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:29:46.3290973Z     return self._forward_impl(x)
2025-11-03T16:29:46.3291335Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-11-03T16:29:46.3291683Z     x = self.layer4(x)
2025-11-03T16:29:46.3291996Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-11-03T16:29:46.3292344Z     out = self.relu(out)
2025-11-03T16:29:46.3292451Z 
2025-11-03T16:29:46.3292549Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:46.3292905Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:46.3293257Z     return mod(*inputs)
2025-11-03T16:29:46.3293567Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:29:46.3293903Z     return self._forward_impl(x)
2025-11-03T16:29:46.3294242Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-11-03T16:29:46.3294579Z     x = self.layer4(x)
2025-11-03T16:29:46.3294887Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-11-03T16:29:46.3295220Z     out = self.relu(out)
2025-11-03T16:29:46.3295322Z 
2025-11-03T16:29:46.3295456Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:46.3295812Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:46.3296130Z     return mod(*inputs)
2025-11-03T16:29:46.3296453Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:29:46.3296790Z     return self._forward_impl(x)
2025-11-03T16:29:46.3297141Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-11-03T16:29:46.3297486Z     x = self.layer4(x)
2025-11-03T16:29:46.3297805Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-11-03T16:29:46.3298151Z     out = self.relu(out)
2025-11-03T16:29:46.3298260Z 
2025-11-03T16:29:46.3298344Z cudagraph partition due to non gpu ops
2025-11-03T16:29:46.3298572Z cudagraph partition due to non gpu ops
2025-11-03T16:29:46.3298836Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:29:46.3299202Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:29:46.3299528Z     return mod(*inputs)
2025-11-03T16:29:46.3299851Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-11-03T16:29:46.3300206Z     return self._forward_impl(x)
2025-11-03T16:29:46.3300582Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 278, in _forward_impl
2025-11-03T16:29:46.3300949Z     x = self.avgpool(x)
2025-11-03T16:29:46.3301054Z 
2025-11-03T16:29:46.3301136Z cudagraph partition due to non gpu ops
2025-11-03T16:29:46.3301355Z cudagraph partition due to non gpu ops
2025-11-03T16:29:54.3525108Z 
2025-11-03T16:29:54.4818513Z running benchmark:   0% 0/50 [00:00<?, ?it/s]
2025-11-03T16:29:54.6089209Z running benchmark:   8% 4/50 [00:00<00:01, 30.98it/s]
2025-11-03T16:29:54.7358597Z running benchmark:  16% 8/50 [00:00<00:01, 31.27it/s]
2025-11-03T16:29:54.8635351Z running benchmark:  24% 12/50 [00:00<00:01, 31.37it/s]
2025-11-03T16:29:54.9913589Z running benchmark:  32% 16/50 [00:00<00:01, 31.35it/s]
2025-11-03T16:29:55.1200948Z running benchmark:  40% 20/50 [00:00<00:00, 31.33it/s]
2025-11-03T16:29:55.2478605Z running benchmark:  48% 24/50 [00:00<00:00, 31.24it/s]
2025-11-03T16:29:55.3968758Z running benchmark:  56% 28/50 [00:00<00:00, 31.26it/s]
2025-11-03T16:29:55.5231105Z running benchmark:  64% 32/50 [00:01<00:00, 29.71it/s]
2025-11-03T16:29:55.6501730Z running benchmark:  72% 36/50 [00:01<00:00, 30.30it/s]
2025-11-03T16:29:55.7760882Z running benchmark:  80% 40/50 [00:01<00:00, 30.65it/s]
2025-11-03T16:29:55.9025018Z running benchmark:  88% 44/50 [00:01<00:00, 30.99it/s]
2025-11-03T16:29:55.9650110Z running benchmark:  96% 48/50 [00:01<00:00, 31.18it/s]
2025-11-03T16:29:55.9650595Z running benchmark: 100% 50/50 [00:01<00:00, 31.01it/s]
2025-11-03T16:29:55.9876103Z 4.055x
2025-11-03T16:29:55.9878497Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:29:56.8589238Z + cat /var/lib/jenkins/workspace/test/test-reports/inductor_inference_resnext50_32x4d_inductor_amp_static_cpu_smoketest.csv
2025-11-03T16:29:56.8609184Z dev,name,batch_size,speedup,abs_latency,compilation_latency,compression_ratio,eager_peak_mem,dynamo_peak_mem,calls_captured,unique_graphs,graph_breaks,unique_graph_breaks,autograd_captures,autograd_compiles,cudagraph_skips
2025-11-03T16:29:56.8610011Z cpu,resnext50_32x4d,8,4.054650,6.116124,13.122666,0.934873,129.599078,138.627482,177,1,0,0,0,0,1
2025-11-03T16:29:56.8610736Z + python benchmarks/dynamo/check_perf_csv.py -f /var/lib/jenkins/workspace/test/test-reports/inductor_inference_resnext50_32x4d_inductor_amp_static_cpu_smoketest.csv -t 1.47023111 -s 0.99
2025-11-03T16:29:57.1105298Z resnext50_32x4d                    4.05465
2025-11-03T16:29:57.1512937Z + IFS=,
2025-11-03T16:29:57.1513542Z + read -r -a model_cfg
2025-11-03T16:29:57.1513768Z + local model_name=vgg16
2025-11-03T16:29:57.1513966Z + local data_type=amp
2025-11-03T16:29:57.1514175Z + local speedup_target=1.2692454
2025-11-03T16:29:57.1514394Z + local backend=inductor
2025-11-03T16:29:57.1514599Z + [[ default == \c\p\p ]]
2025-11-03T16:29:57.1514805Z + unset TORCHINDUCTOR_CPP_WRAPPER
2025-11-03T16:29:57.1515294Z + local output_name=/var/lib/jenkins/workspace/test/test-reports/inductor_inference_vgg16_inductor_amp_static_cpu_smoketest.csv
2025-11-03T16:29:57.1515772Z + [[ static == \d\y\n\a\m\i\c ]]
2025-11-03T16:29:57.1516557Z + taskset -c 0-93 python benchmarks/dynamo/torchbench.py --inference --performance --amp -dcpu -n50 --only vgg16 --freezing --timeout 9000 --inductor --output /var/lib/jenkins/workspace/test/test-reports/inductor_inference_vgg16_inductor_amp_static_cpu_smoketest.csv
2025-11-03T16:29:57.4071985Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-11-03T16:29:57.4073421Z   import pynvml  # type: ignore[import]
2025-11-03T16:29:59.1252017Z 
2025-11-03T16:29:59.7190018Z loading model: 0it [00:00, ?it/s]Downloading: "https://download.pytorch.org/models/vgg16-397923af.pth" to /var/lib/jenkins/.cache/torch/hub/checkpoints/vgg16-397923af.pth
2025-11-03T16:29:59.7338983Z 
2025-11-03T16:29:59.7339171Z 
2025-11-03T16:29:59.8342241Z   0% 0.00/528M [00:00<?, ?B/s]
2025-11-03T16:29:59.8342375Z 
2025-11-03T16:29:59.9344449Z  11% 56.2M/528M [00:00<00:00, 589MB/s]
2025-11-03T16:29:59.9344618Z 
2025-11-03T16:30:00.0438645Z  21% 113M/528M [00:00<00:00, 594MB/s] 
2025-11-03T16:30:00.0438816Z 
2025-11-03T16:30:00.1702959Z  32% 170M/528M [00:00<00:00, 569MB/s]
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2025-11-03T16:30:00.2702047Z  43% 224M/528M [00:00<00:00, 517MB/s]
2025-11-03T16:30:00.2702221Z 
2025-11-03T16:30:00.3704559Z  53% 281M/528M [00:00<00:00, 544MB/s]
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2025-11-03T16:30:00.4760062Z  64% 336M/528M [00:00<00:00, 555MB/s]
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2025-11-03T16:30:00.5759983Z  74% 390M/528M [00:00<00:00, 547MB/s]
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2025-11-03T16:30:00.6763016Z  85% 447M/528M [00:00<00:00, 562MB/s]
2025-11-03T16:30:00.6763198Z 
2025-11-03T16:30:00.7190832Z  95% 504M/528M [00:00<00:00, 573MB/s]
2025-11-03T16:30:00.7191348Z 100% 528M/528M [00:00<00:00, 562MB/s]
2025-11-03T16:30:01.1544874Z 
2025-11-03T16:30:01.1545416Z loading model: 0it [00:02, ?it/s]
2025-11-03T16:30:01.1545841Z cpu  eval  vgg16                              
2025-11-03T16:30:03.6641597Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:03.6642111Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:03.6642464Z     return mod(*inputs)
2025-11-03T16:30:03.6642835Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-11-03T16:30:03.6643170Z     x = self.features(x)
2025-11-03T16:30:03.6643278Z 
2025-11-03T16:30:03.6643384Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:03.6643731Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:03.6644088Z     return mod(*inputs)
2025-11-03T16:30:03.6644387Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-11-03T16:30:03.6644722Z     x = self.features(x)
2025-11-03T16:30:03.6644821Z 
2025-11-03T16:30:03.6644926Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:03.6645262Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:03.6645558Z     return mod(*inputs)
2025-11-03T16:30:03.6646211Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-11-03T16:30:03.6646536Z     x = self.features(x)
2025-11-03T16:30:03.6646634Z 
2025-11-03T16:30:03.6646739Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:03.6647081Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:03.6647375Z     return mod(*inputs)
2025-11-03T16:30:03.6647673Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-11-03T16:30:03.6647988Z     x = self.features(x)
2025-11-03T16:30:03.6648086Z 
2025-11-03T16:30:03.6648189Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:03.6648520Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:03.6648823Z     return mod(*inputs)
2025-11-03T16:30:03.6649111Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-11-03T16:30:03.6649423Z     x = self.features(x)
2025-11-03T16:30:03.6649519Z 
2025-11-03T16:30:03.6649625Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:03.6649949Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:03.6650246Z     return mod(*inputs)
2025-11-03T16:30:03.6650534Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-11-03T16:30:03.6650840Z     x = self.features(x)
2025-11-03T16:30:03.6650942Z 
2025-11-03T16:30:03.6651038Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:03.6651371Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:03.6651667Z     return mod(*inputs)
2025-11-03T16:30:03.6651958Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-11-03T16:30:03.6652266Z     x = self.features(x)
2025-11-03T16:30:03.6652361Z 
2025-11-03T16:30:03.6652460Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:03.6652790Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:03.6653086Z     return mod(*inputs)
2025-11-03T16:30:03.6653379Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-11-03T16:30:03.6653768Z     x = self.features(x)
2025-11-03T16:30:03.6653879Z 
2025-11-03T16:30:03.6654084Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:03.6654417Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:03.6654714Z     return mod(*inputs)
2025-11-03T16:30:03.6655009Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-11-03T16:30:03.6655314Z     x = self.features(x)
2025-11-03T16:30:03.6655416Z 
2025-11-03T16:30:03.6655515Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:03.6655850Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:03.6656150Z     return mod(*inputs)
2025-11-03T16:30:03.6656436Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-11-03T16:30:03.6656754Z     x = self.features(x)
2025-11-03T16:30:03.6656858Z 
2025-11-03T16:30:03.6656957Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:03.6657295Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:03.6657591Z     return mod(*inputs)
2025-11-03T16:30:03.6657871Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-11-03T16:30:03.6658182Z     x = self.features(x)
2025-11-03T16:30:03.6658279Z 
2025-11-03T16:30:03.6658381Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:03.6658797Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:03.6659091Z     return mod(*inputs)
2025-11-03T16:30:03.6659382Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-11-03T16:30:03.6659688Z     x = self.features(x)
2025-11-03T16:30:03.6659785Z 
2025-11-03T16:30:03.6659890Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:03.6660234Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:03.6660530Z     return mod(*inputs)
2025-11-03T16:30:03.6660820Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-11-03T16:30:03.6661136Z     x = self.features(x)
2025-11-03T16:30:03.6661234Z 
2025-11-03T16:30:03.6661337Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:03.6661660Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:03.6661957Z     return mod(*inputs)
2025-11-03T16:30:03.6662250Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-11-03T16:30:03.6662562Z     x = self.features(x)
2025-11-03T16:30:03.6662659Z 
2025-11-03T16:30:03.6662760Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:03.6663085Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:03.6663381Z     return mod(*inputs)
2025-11-03T16:30:03.6663670Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-11-03T16:30:03.6663978Z     x = self.features(x)
2025-11-03T16:30:03.6664074Z 
2025-11-03T16:30:03.6664168Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:03.6664499Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:03.6664797Z     return mod(*inputs)
2025-11-03T16:30:03.6665094Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-11-03T16:30:03.6665399Z     x = self.features(x)
2025-11-03T16:30:03.6665492Z 
2025-11-03T16:30:03.6665586Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:03.6665914Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:03.6666211Z     return mod(*inputs)
2025-11-03T16:30:03.6666562Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-11-03T16:30:03.6666863Z     x = self.features(x)
2025-11-03T16:30:03.6666970Z 
2025-11-03T16:30:03.6667066Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:03.6667398Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:03.6667697Z     return mod(*inputs)
2025-11-03T16:30:03.6667990Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-11-03T16:30:03.6668296Z     x = self.features(x)
2025-11-03T16:30:03.6668400Z 
2025-11-03T16:30:03.6668496Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:03.6668834Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:03.6669137Z     return mod(*inputs)
2025-11-03T16:30:03.6669425Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-11-03T16:30:03.6669744Z     x = self.features(x)
2025-11-03T16:30:03.6669851Z 
2025-11-03T16:30:03.6669948Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:03.6670282Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:03.6670584Z     return mod(*inputs)
2025-11-03T16:30:03.6670898Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-11-03T16:30:03.6671214Z     x = self.features(x)
2025-11-03T16:30:03.6671310Z 
2025-11-03T16:30:03.6671412Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:03.6671750Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:03.6672040Z     return mod(*inputs)
2025-11-03T16:30:03.6672330Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-11-03T16:30:03.6672647Z     x = self.features(x)
2025-11-03T16:30:03.6672742Z 
2025-11-03T16:30:03.6672845Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:03.6673181Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:03.6673470Z     return mod(*inputs)
2025-11-03T16:30:03.6673763Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-11-03T16:30:03.6674081Z     x = self.features(x)
2025-11-03T16:30:03.6674178Z 
2025-11-03T16:30:03.6674280Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:03.6674602Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:03.6674900Z     return mod(*inputs)
2025-11-03T16:30:03.6675191Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-11-03T16:30:03.6675505Z     x = self.features(x)
2025-11-03T16:30:03.6675599Z 
2025-11-03T16:30:03.6675703Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:03.6676029Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:03.6676328Z     return mod(*inputs)
2025-11-03T16:30:03.6676620Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-11-03T16:30:03.6676930Z     x = self.features(x)
2025-11-03T16:30:03.6677029Z 
2025-11-03T16:30:03.6677125Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:03.6677455Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:03.6677749Z     return mod(*inputs)
2025-11-03T16:30:03.6678065Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-11-03T16:30:03.6678382Z     x = self.features(x)
2025-11-03T16:30:03.6678514Z 
2025-11-03T16:30:03.6678617Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:03.6678944Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:03.6679243Z     return mod(*inputs)
2025-11-03T16:30:03.6679532Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-11-03T16:30:03.6679843Z     x = self.features(x)
2025-11-03T16:30:03.6679940Z 
2025-11-03T16:30:03.6680039Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:03.6680372Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:03.6680669Z     return mod(*inputs)
2025-11-03T16:30:03.6680961Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-11-03T16:30:03.6681273Z     x = self.features(x)
2025-11-03T16:30:03.6681368Z 
2025-11-03T16:30:03.6681463Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:03.6681797Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:03.6682096Z     return mod(*inputs)
2025-11-03T16:30:03.6682384Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-11-03T16:30:03.6682687Z     x = self.features(x)
2025-11-03T16:30:03.6682794Z 
2025-11-03T16:30:03.6682889Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:03.6683262Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:03.6683561Z     return mod(*inputs)
2025-11-03T16:30:03.6683851Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-11-03T16:30:03.6684149Z     x = self.features(x)
2025-11-03T16:30:03.6684254Z 
2025-11-03T16:30:03.6684349Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:03.6684685Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:03.6684980Z     return mod(*inputs)
2025-11-03T16:30:03.6685262Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-11-03T16:30:03.6685571Z     x = self.features(x)
2025-11-03T16:30:03.6685674Z 
2025-11-03T16:30:03.6685768Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:03.6686102Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:03.6686400Z     return mod(*inputs)
2025-11-03T16:30:03.6686681Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-11-03T16:30:03.6686992Z     x = self.features(x)
2025-11-03T16:30:03.6687091Z 
2025-11-03T16:30:03.6687171Z cudagraph partition due to non gpu ops
2025-11-03T16:30:03.6687399Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:03.6687728Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:03.6688029Z     return mod(*inputs)
2025-11-03T16:30:03.6688322Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/vgg.py", line 69, in forward
2025-11-03T16:30:03.6688637Z     x = self.classifier(x)
2025-11-03T16:30:03.6688742Z 
2025-11-03T16:30:03.6688845Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:03.6689172Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:03.6689471Z     return mod(*inputs)
2025-11-03T16:30:03.6689759Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/vgg.py", line 69, in forward
2025-11-03T16:30:03.6690072Z     x = self.classifier(x)
2025-11-03T16:30:03.6690174Z 
2025-11-03T16:30:03.6690270Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:03.6690602Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:03.6690927Z     return mod(*inputs)
2025-11-03T16:30:03.6691218Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/vgg.py", line 69, in forward
2025-11-03T16:30:03.6691531Z     x = self.classifier(x)
2025-11-03T16:30:03.6691633Z 
2025-11-03T16:30:03.6691728Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:03.6692063Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:03.6692362Z     return mod(*inputs)
2025-11-03T16:30:03.6692657Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/vgg.py", line 69, in forward
2025-11-03T16:30:03.6692960Z     x = self.classifier(x)
2025-11-03T16:30:03.6693073Z 
2025-11-03T16:30:03.6693151Z cudagraph partition due to non gpu ops
2025-11-03T16:30:03.6693359Z cudagraph partition due to non gpu ops
2025-11-03T16:30:12.8017289Z 
2025-11-03T16:30:12.9208803Z running benchmark:   0% 0/50 [00:00<?, ?it/s]
2025-11-03T16:30:13.0424060Z running benchmark:   8% 4/50 [00:00<00:01, 33.38it/s]
2025-11-03T16:30:13.1603801Z running benchmark:  16% 8/50 [00:00<00:01, 33.11it/s]
2025-11-03T16:30:13.2908936Z running benchmark:  24% 12/50 [00:00<00:01, 33.46it/s]
2025-11-03T16:30:13.4218676Z running benchmark:  32% 16/50 [00:00<00:01, 32.30it/s]
2025-11-03T16:30:13.5403256Z running benchmark:  40% 20/50 [00:00<00:00, 31.65it/s]
2025-11-03T16:30:13.6586582Z running benchmark:  48% 24/50 [00:00<00:00, 32.33it/s]
2025-11-03T16:30:13.7772573Z running benchmark:  56% 28/50 [00:00<00:00, 32.79it/s]
2025-11-03T16:30:13.8961768Z running benchmark:  64% 32/50 [00:00<00:00, 33.09it/s]
2025-11-03T16:30:14.0144782Z running benchmark:  72% 36/50 [00:01<00:00, 33.25it/s]
2025-11-03T16:30:14.1331098Z running benchmark:  80% 40/50 [00:01<00:00, 33.43it/s]
2025-11-03T16:30:14.2520484Z running benchmark:  88% 44/50 [00:01<00:00, 33.51it/s]
2025-11-03T16:30:14.3115847Z running benchmark:  96% 48/50 [00:01<00:00, 33.55it/s]
2025-11-03T16:30:14.3116353Z running benchmark: 100% 50/50 [00:01<00:00, 33.10it/s]
2025-11-03T16:30:14.3335222Z 3.952x
2025-11-03T16:30:14.3335550Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:30:15.1578141Z + cat /var/lib/jenkins/workspace/test/test-reports/inductor_inference_vgg16_inductor_amp_static_cpu_smoketest.csv
2025-11-03T16:30:15.1596152Z dev,name,batch_size,speedup,abs_latency,compilation_latency,compression_ratio,eager_peak_mem,dynamo_peak_mem,calls_captured,unique_graphs,graph_breaks,unique_graph_breaks,autograd_captures,autograd_compiles,cudagraph_skips
2025-11-03T16:30:15.1596906Z cpu,vgg16,4,3.951887,5.798369,10.795580,0.951664,279.230054,293.412454,42,1,0,0,0,0,1
2025-11-03T16:30:15.1597646Z + python benchmarks/dynamo/check_perf_csv.py -f /var/lib/jenkins/workspace/test/test-reports/inductor_inference_vgg16_inductor_amp_static_cpu_smoketest.csv -t 1.2692454 -s 0.99
2025-11-03T16:30:15.4030573Z vgg16                              3.951887
2025-11-03T16:30:15.4400201Z + IFS=,
2025-11-03T16:30:15.4400427Z + read -r -a model_cfg
2025-11-03T16:30:15.4400647Z + local model_name=llama
2025-11-03T16:30:15.4400854Z + local data_type=amp
2025-11-03T16:30:15.4401057Z + local speedup_target=1.33157028
2025-11-03T16:30:15.4401272Z + local backend=inductor
2025-11-03T16:30:15.4401475Z + [[ default == \c\p\p ]]
2025-11-03T16:30:15.4401684Z + unset TORCHINDUCTOR_CPP_WRAPPER
2025-11-03T16:30:15.4402176Z + local output_name=/var/lib/jenkins/workspace/test/test-reports/inductor_inference_llama_inductor_amp_static_cpu_smoketest.csv
2025-11-03T16:30:15.4402628Z + [[ static == \d\y\n\a\m\i\c ]]
2025-11-03T16:30:15.4403419Z + taskset -c 0-93 python benchmarks/dynamo/torchbench.py --inference --performance --amp -dcpu -n50 --only llama --freezing --timeout 9000 --inductor --output /var/lib/jenkins/workspace/test/test-reports/inductor_inference_llama_inductor_amp_static_cpu_smoketest.csv
2025-11-03T16:30:15.7081586Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-11-03T16:30:15.7083533Z   import pynvml  # type: ignore[import]
2025-11-03T16:30:17.4205881Z 
2025-11-03T16:30:18.0719873Z loading model: 0it [00:00, ?it/s]
2025-11-03T16:30:18.0720964Z loading model: 0it [00:00, ?it/s]
2025-11-03T16:30:18.0721470Z cpu  eval  llama                              
2025-11-03T16:30:25.7969225Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.7969556Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.7969783Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.7970036Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:25.7970416Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:25.7970737Z     return mod(*inputs)
2025-11-03T16:30:25.7971047Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:25.7971344Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:25.7971627Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:25.7971909Z     h = x + self.attention.forward(
2025-11-03T16:30:25.7972187Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:25.7972831Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:25.7973182Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-11-03T16:30:25.7973556Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-11-03T16:30:25.7973975Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:25.7974339Z     return func(*args, **kwargs)
2025-11-03T16:30:25.7974466Z 
2025-11-03T16:30:25.7974579Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:25.7974931Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:25.7975231Z     return mod(*inputs)
2025-11-03T16:30:25.7975487Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:25.7975769Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:25.7976049Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:25.7976319Z     h = x + self.attention.forward(
2025-11-03T16:30:25.7976593Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:25.7976888Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:25.7977321Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-11-03T16:30:25.7977665Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-11-03T16:30:25.7978060Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:25.7978406Z     return func(*args, **kwargs)
2025-11-03T16:30:25.7978529Z 
2025-11-03T16:30:25.7978630Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:25.7978972Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:25.7979275Z     return mod(*inputs)
2025-11-03T16:30:25.7979522Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:25.7979805Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:25.7980085Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:25.7980360Z     h = x + self.attention.forward(
2025-11-03T16:30:25.7980622Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:25.7980921Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:25.7981335Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-11-03T16:30:25.7981677Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-11-03T16:30:25.7982064Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:25.7982411Z     return func(*args, **kwargs)
2025-11-03T16:30:25.7982541Z 
2025-11-03T16:30:25.7982649Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:25.7983004Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:25.7983320Z     return mod(*inputs)
2025-11-03T16:30:25.7983568Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:25.7983857Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:25.7984138Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:25.7984421Z     h = x + self.attention.forward(
2025-11-03T16:30:25.7984688Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:25.7984992Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:25.7985310Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-11-03T16:30:25.7985648Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-11-03T16:30:25.7986068Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:25.7986404Z     return func(*args, **kwargs)
2025-11-03T16:30:25.7986524Z 
2025-11-03T16:30:25.7986624Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:25.7986962Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:25.7987268Z     return mod(*inputs)
2025-11-03T16:30:25.7987519Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:25.7987802Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:25.7988080Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:25.7988370Z     h = x + self.attention.forward(
2025-11-03T16:30:25.7988636Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:25.7988929Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:25.7989239Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-11-03T16:30:25.7989594Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-11-03T16:30:25.7989957Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:25.7990303Z     return func(*args, **kwargs)
2025-11-03T16:30:25.7990417Z 
2025-11-03T16:30:25.7990514Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:25.7990851Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:25.7991154Z     return mod(*inputs)
2025-11-03T16:30:25.7991397Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:25.7991673Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:25.7991959Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:25.7992234Z     h = x + self.attention.forward(
2025-11-03T16:30:25.7992503Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:25.7992791Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:25.7993103Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-11-03T16:30:25.7993424Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-11-03T16:30:25.7993791Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:25.7994185Z     return func(*args, **kwargs)
2025-11-03T16:30:25.7994298Z 
2025-11-03T16:30:25.7994376Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.7994577Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.7994780Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.7995004Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:25.7995340Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:25.7995646Z     return mod(*inputs)
2025-11-03T16:30:25.7995893Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:25.7996178Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:25.7996451Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:25.7996715Z     h = x + self.attention.forward(
2025-11-03T16:30:25.7996990Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:25.7997292Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:25.7997604Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-11-03T16:30:25.7997946Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-11-03T16:30:25.7998345Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:25.7999830Z     return func(*args, **kwargs)
2025-11-03T16:30:25.7999954Z 
2025-11-03T16:30:25.8000063Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:25.8000408Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:25.8000707Z     return mod(*inputs)
2025-11-03T16:30:25.8000963Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:25.8001253Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:25.8001533Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:25.8001801Z     h = x + self.attention.forward(
2025-11-03T16:30:25.8002073Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:25.8002385Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:25.8002704Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-11-03T16:30:25.8003057Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-11-03T16:30:25.8003443Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:25.8003785Z     return func(*args, **kwargs)
2025-11-03T16:30:25.8003903Z 
2025-11-03T16:30:25.8004001Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:25.8004340Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:25.8004637Z     return mod(*inputs)
2025-11-03T16:30:25.8004883Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:25.8005163Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:25.8005436Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:25.8005709Z     h = x + self.attention.forward(
2025-11-03T16:30:25.8005977Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:25.8006273Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:25.8006589Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-11-03T16:30:25.8006908Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-11-03T16:30:25.8007272Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:25.8007659Z     return func(*args, **kwargs)
2025-11-03T16:30:25.8007777Z 
2025-11-03T16:30:25.8007873Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:25.8008212Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:25.8008514Z     return mod(*inputs)
2025-11-03T16:30:25.8008753Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:25.8009036Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:25.8009313Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:25.8009583Z     h = x + self.attention.forward(
2025-11-03T16:30:25.8009842Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:25.8010131Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:25.8010441Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-11-03T16:30:25.8010766Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-11-03T16:30:25.8011139Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:25.8011471Z     return func(*args, **kwargs)
2025-11-03T16:30:25.8011591Z 
2025-11-03T16:30:25.8011688Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:25.8012029Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:25.8012364Z     return mod(*inputs)
2025-11-03T16:30:25.8012605Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:25.8012891Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:25.8013165Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:25.8013438Z     h = x + self.attention.forward(
2025-11-03T16:30:25.8013704Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:25.8013993Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:25.8014304Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-11-03T16:30:25.8014626Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-11-03T16:30:25.8014993Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:25.8015324Z     return func(*args, **kwargs)
2025-11-03T16:30:25.8015449Z 
2025-11-03T16:30:25.8015550Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:25.8015890Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:25.8016200Z     return mod(*inputs)
2025-11-03T16:30:25.8016445Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:25.8016717Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:25.8016998Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:25.8017268Z     h = x + self.attention.forward(
2025-11-03T16:30:25.8017534Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:25.8017816Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:25.8018125Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-11-03T16:30:25.8018449Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-11-03T16:30:25.8018813Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:25.8019153Z     return func(*args, **kwargs)
2025-11-03T16:30:25.8019265Z 
2025-11-03T16:30:25.8019343Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8019549Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8019750Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8020012Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8020200Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8020398Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8020594Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8020786Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8020974Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8021168Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8021365Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8021565Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8021754Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8021980Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:25.8022318Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:25.8022626Z     return mod(*inputs)
2025-11-03T16:30:25.8022866Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:25.8023151Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:25.8023424Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 197, in forward
2025-11-03T16:30:25.8023727Z     out = h + self.feed_forward.forward(self.ffn_norm(h))
2025-11-03T16:30:25.8024021Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 170, in forward
2025-11-03T16:30:25.8024309Z     return self.w2(F.silu(self.w1(x)) * self.w3(x))
2025-11-03T16:30:25.8024705Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:25.8025044Z     return func(*args, **kwargs)
2025-11-03T16:30:25.8025158Z 
2025-11-03T16:30:25.8025241Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8025432Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8025631Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8025824Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8026021Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8026238Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:25.8026577Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:25.8026885Z     return mod(*inputs)
2025-11-03T16:30:25.8027135Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:25.8027416Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:25.8027688Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:25.8027961Z     h = x + self.attention.forward(
2025-11-03T16:30:25.8028230Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:25.8028525Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:25.8028831Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-11-03T16:30:25.8029181Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-11-03T16:30:25.8029575Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:25.8029917Z     return func(*args, **kwargs)
2025-11-03T16:30:25.8030031Z 
2025-11-03T16:30:25.8030138Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:25.8030467Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:25.8030767Z     return mod(*inputs)
2025-11-03T16:30:25.8031017Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:25.8031294Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:25.8031562Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:25.8031837Z     h = x + self.attention.forward(
2025-11-03T16:30:25.8032105Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:25.8032434Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:25.8032742Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-11-03T16:30:25.8033086Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-11-03T16:30:25.8033477Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:25.8033813Z     return func(*args, **kwargs)
2025-11-03T16:30:25.8033923Z 
2025-11-03T16:30:25.8034033Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:25.8034365Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:25.8034667Z     return mod(*inputs)
2025-11-03T16:30:25.8034913Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:25.8035193Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:25.8035458Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:25.8035737Z     h = x + self.attention.forward(
2025-11-03T16:30:25.8036003Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:25.8036300Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:25.8036612Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-11-03T16:30:25.8036925Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-11-03T16:30:25.8037325Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:25.8037663Z     return func(*args, **kwargs)
2025-11-03T16:30:25.8037774Z 
2025-11-03T16:30:25.8037879Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:25.8038211Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:25.8038512Z     return mod(*inputs)
2025-11-03T16:30:25.8038763Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:25.8039041Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:25.8039318Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:25.8039583Z     h = x + self.attention.forward(
2025-11-03T16:30:25.8039856Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:25.8040151Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:25.8040463Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-11-03T16:30:25.8040780Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-11-03T16:30:25.8041161Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:25.8041503Z     return func(*args, **kwargs)
2025-11-03T16:30:25.8041617Z 
2025-11-03T16:30:25.8041732Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:25.8042067Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:25.8042364Z     return mod(*inputs)
2025-11-03T16:30:25.8042606Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:25.8042885Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:25.8043160Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:25.8043425Z     h = x + self.attention.forward(
2025-11-03T16:30:25.8043694Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:25.8043990Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:25.8044298Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-11-03T16:30:25.8044622Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-11-03T16:30:25.8045016Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:25.8045354Z     return func(*args, **kwargs)
2025-11-03T16:30:25.8045474Z 
2025-11-03T16:30:25.8045574Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:25.8045910Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:25.8046203Z     return mod(*inputs)
2025-11-03T16:30:25.8046456Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:25.8046733Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:25.8047006Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:25.8047277Z     h = x + self.attention.forward(
2025-11-03T16:30:25.8047538Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:25.8047829Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:25.8048141Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-11-03T16:30:25.8048457Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-11-03T16:30:25.8048812Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:25.8049149Z     return func(*args, **kwargs)
2025-11-03T16:30:25.8049266Z 
2025-11-03T16:30:25.8049342Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8049578Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8049771Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8049997Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:25.8050338Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:25.8050647Z     return mod(*inputs)
2025-11-03T16:30:25.8050892Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:25.8051167Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:25.8051442Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:25.8051718Z     h = x + self.attention.forward(
2025-11-03T16:30:25.8051985Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:25.8052274Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:25.8052592Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-11-03T16:30:25.8052936Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-11-03T16:30:25.8053328Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:25.8053730Z     return func(*args, **kwargs)
2025-11-03T16:30:25.8053848Z 
2025-11-03T16:30:25.8053948Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:25.8054299Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:25.8054617Z     return mod(*inputs)
2025-11-03T16:30:25.8054869Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:25.8055148Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:25.8055431Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:25.8055715Z     h = x + self.attention.forward(
2025-11-03T16:30:25.8055999Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:25.8071345Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:25.8071814Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-11-03T16:30:25.8072189Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-11-03T16:30:25.8072620Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:25.8073153Z     return func(*args, **kwargs)
2025-11-03T16:30:25.8073277Z 
2025-11-03T16:30:25.8073396Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:25.8073757Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:25.8074065Z     return mod(*inputs)
2025-11-03T16:30:25.8074328Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:25.8074628Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:25.8074916Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:25.8075190Z     h = x + self.attention.forward(
2025-11-03T16:30:25.8075470Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:25.8075779Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:25.8076101Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-11-03T16:30:25.8076433Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-11-03T16:30:25.8076805Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:25.8077153Z     return func(*args, **kwargs)
2025-11-03T16:30:25.8077276Z 
2025-11-03T16:30:25.8077379Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:25.8077799Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:25.8078106Z     return mod(*inputs)
2025-11-03T16:30:25.8078360Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:25.8078644Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:25.8078918Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:25.8079195Z     h = x + self.attention.forward(
2025-11-03T16:30:25.8079460Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:25.8079771Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:25.8080091Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-11-03T16:30:25.8080420Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-11-03T16:30:25.8080788Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:25.8081139Z     return func(*args, **kwargs)
2025-11-03T16:30:25.8081260Z 
2025-11-03T16:30:25.8081361Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:25.8081704Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:25.8082010Z     return mod(*inputs)
2025-11-03T16:30:25.8082249Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:25.8082525Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:25.8082807Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:25.8083080Z     h = x + self.attention.forward(
2025-11-03T16:30:25.8083342Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:25.8083636Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:25.8083951Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-11-03T16:30:25.8084275Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-11-03T16:30:25.8084633Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:25.8084972Z     return func(*args, **kwargs)
2025-11-03T16:30:25.8085092Z 
2025-11-03T16:30:25.8085190Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:25.8085534Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:25.8085873Z     return mod(*inputs)
2025-11-03T16:30:25.8086115Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:25.8086399Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:25.8086678Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:25.8086955Z     h = x + self.attention.forward(
2025-11-03T16:30:25.8087214Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:25.8087517Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:25.8087829Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-11-03T16:30:25.8088147Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-11-03T16:30:25.8088510Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:25.8088843Z     return func(*args, **kwargs)
2025-11-03T16:30:25.8088968Z 
2025-11-03T16:30:25.8089050Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8089258Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8089460Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8089649Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8089847Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8090045Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8090238Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8090456Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8090652Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8090844Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8091040Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8091229Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8091425Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8091648Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:25.8091990Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:25.8092291Z     return mod(*inputs)
2025-11-03T16:30:25.8092529Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:25.8092810Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:25.8093086Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 197, in forward
2025-11-03T16:30:25.8093391Z     out = h + self.feed_forward.forward(self.ffn_norm(h))
2025-11-03T16:30:25.8093678Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 170, in forward
2025-11-03T16:30:25.8093971Z     return self.w2(F.silu(self.w1(x)) * self.w3(x))
2025-11-03T16:30:25.8094332Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:25.8094670Z     return func(*args, **kwargs)
2025-11-03T16:30:25.8094781Z 
2025-11-03T16:30:25.8094862Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8095055Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8095253Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8095447Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8095647Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8095861Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:25.8096199Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:25.8096508Z     return mod(*inputs)
2025-11-03T16:30:25.8096759Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:25.8097034Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:25.8097307Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:25.8097581Z     h = x + self.attention.forward(
2025-11-03T16:30:25.8097853Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:25.8098178Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:25.8098495Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-11-03T16:30:25.8098848Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-11-03T16:30:25.8099246Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:25.8099587Z     return func(*args, **kwargs)
2025-11-03T16:30:25.8099702Z 
2025-11-03T16:30:25.8099802Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:25.8100138Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:25.8100444Z     return mod(*inputs)
2025-11-03T16:30:25.8100689Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:25.8100962Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:25.8101238Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:25.8101511Z     h = x + self.attention.forward(
2025-11-03T16:30:25.8101778Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:25.8102075Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:25.8102383Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-11-03T16:30:25.8102761Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-11-03T16:30:25.8103161Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:25.8103498Z     return func(*args, **kwargs)
2025-11-03T16:30:25.8103612Z 
2025-11-03T16:30:25.8103712Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:25.8104053Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:25.8104360Z     return mod(*inputs)
2025-11-03T16:30:25.8104610Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:25.8104891Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:25.8105158Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:25.8105430Z     h = x + self.attention.forward(
2025-11-03T16:30:25.8105698Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:25.8105992Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:25.8106295Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-11-03T16:30:25.8106617Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-11-03T16:30:25.8106985Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:25.8107322Z     return func(*args, **kwargs)
2025-11-03T16:30:25.8107437Z 
2025-11-03T16:30:25.8107542Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:25.8107872Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:25.8108178Z     return mod(*inputs)
2025-11-03T16:30:25.8108419Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:25.8108701Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:25.8108971Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:25.8109245Z     h = x + self.attention.forward(
2025-11-03T16:30:25.8109511Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:25.8109808Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:25.8110121Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-11-03T16:30:25.8110439Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-11-03T16:30:25.8111163Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:25.8111500Z     return func(*args, **kwargs)
2025-11-03T16:30:25.8111612Z 
2025-11-03T16:30:25.8111720Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:25.8112050Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:25.8112357Z     return mod(*inputs)
2025-11-03T16:30:25.8112613Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:25.8112897Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:25.8113181Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:25.8113449Z     h = x + self.attention.forward(
2025-11-03T16:30:25.8113715Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:25.8114008Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:25.8114320Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-11-03T16:30:25.8114632Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-11-03T16:30:25.8114995Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:25.8115339Z     return func(*args, **kwargs)
2025-11-03T16:30:25.8115452Z 
2025-11-03T16:30:25.8115580Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:25.8115921Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:25.8116234Z     return mod(*inputs)
2025-11-03T16:30:25.8116482Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:25.8116757Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:25.8117036Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:25.8117316Z     h = x + self.attention.forward(
2025-11-03T16:30:25.8117583Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:25.8117876Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:25.8118179Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-11-03T16:30:25.8118500Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-11-03T16:30:25.8118874Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:25.8119217Z     return func(*args, **kwargs)
2025-11-03T16:30:25.8119329Z 
2025-11-03T16:30:25.8119405Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8119612Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8119814Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8120039Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:25.8120379Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:25.8120688Z     return mod(*inputs)
2025-11-03T16:30:25.8120935Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:25.8121220Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:25.8121496Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:25.8121761Z     h = x + self.attention.forward(
2025-11-03T16:30:25.8122034Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:25.8122333Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:25.8122651Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-11-03T16:30:25.8122993Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-11-03T16:30:25.8123392Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:25.8123777Z     return func(*args, **kwargs)
2025-11-03T16:30:25.8123890Z 
2025-11-03T16:30:25.8123996Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:25.8124335Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:25.8124633Z     return mod(*inputs)
2025-11-03T16:30:25.8124880Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:25.8125164Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:25.8125439Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:25.8125702Z     h = x + self.attention.forward(
2025-11-03T16:30:25.8125966Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:25.8126266Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:25.8126582Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-11-03T16:30:25.8126933Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-11-03T16:30:25.8127318Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:25.8127653Z     return func(*args, **kwargs)
2025-11-03T16:30:25.8127773Z 
2025-11-03T16:30:25.8127872Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:25.8128247Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:25.8128548Z     return mod(*inputs)
2025-11-03T16:30:25.8128793Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:25.8129075Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:25.8129353Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:25.8129629Z     h = x + self.attention.forward(
2025-11-03T16:30:25.8129895Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:25.8130192Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:25.8130503Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-11-03T16:30:25.8130830Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-11-03T16:30:25.8131187Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:25.8131531Z     return func(*args, **kwargs)
2025-11-03T16:30:25.8131653Z 
2025-11-03T16:30:25.8131752Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:25.8132093Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:25.8132397Z     return mod(*inputs)
2025-11-03T16:30:25.8132637Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:25.8132928Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:25.8133213Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:25.8133493Z     h = x + self.attention.forward(
2025-11-03T16:30:25.8133754Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:25.8134050Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:25.8134363Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-11-03T16:30:25.8134686Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-11-03T16:30:25.8135047Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:25.8135382Z     return func(*args, **kwargs)
2025-11-03T16:30:25.8135500Z 
2025-11-03T16:30:25.8135598Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:25.8135938Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:25.8136272Z     return mod(*inputs)
2025-11-03T16:30:25.8136510Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:25.8136791Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:25.8137068Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:25.8137339Z     h = x + self.attention.forward(
2025-11-03T16:30:25.8137600Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:25.8137891Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:25.8138202Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-11-03T16:30:25.8138522Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-11-03T16:30:25.8138887Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:25.8139217Z     return func(*args, **kwargs)
2025-11-03T16:30:25.8139336Z 
2025-11-03T16:30:25.8139436Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:25.8139772Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:25.8140072Z     return mod(*inputs)
2025-11-03T16:30:25.8140312Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:25.8140588Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:25.8140894Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:25.8141164Z     h = x + self.attention.forward(
2025-11-03T16:30:25.8141432Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:25.8141719Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:25.8142034Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-11-03T16:30:25.8142356Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-11-03T16:30:25.8142720Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:25.8143048Z     return func(*args, **kwargs)
2025-11-03T16:30:25.8143173Z 
2025-11-03T16:30:25.8143250Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8143456Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8143654Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8143857Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8144236Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8144434Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8144633Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8144829Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8145020Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8145216Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8145419Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8145618Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8145808Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8146036Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:25.8146378Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:25.8146686Z     return mod(*inputs)
2025-11-03T16:30:25.8146929Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:25.8147216Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:25.8147493Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 197, in forward
2025-11-03T16:30:25.8147794Z     out = h + self.feed_forward.forward(self.ffn_norm(h))
2025-11-03T16:30:25.8148086Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 170, in forward
2025-11-03T16:30:25.8148369Z     return self.w2(F.silu(self.w1(x)) * self.w3(x))
2025-11-03T16:30:25.8148765Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:25.8149108Z     return func(*args, **kwargs)
2025-11-03T16:30:25.8149223Z 
2025-11-03T16:30:25.8149305Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8149497Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8149695Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8149895Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8150095Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8150309Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:25.8150649Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:25.8150954Z     return mod(*inputs)
2025-11-03T16:30:25.8151200Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:25.8151481Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:25.8151752Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:25.8152025Z     h = x + self.attention.forward(
2025-11-03T16:30:25.8152291Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:25.8152583Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:25.8152891Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-11-03T16:30:25.8153274Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-11-03T16:30:25.8153737Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:25.8154075Z     return func(*args, **kwargs)
2025-11-03T16:30:25.8154188Z 
2025-11-03T16:30:25.8154294Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:25.8154623Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:25.8154927Z     return mod(*inputs)
2025-11-03T16:30:25.8155174Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:25.8155459Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:25.8155731Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:25.8156007Z     h = x + self.attention.forward(
2025-11-03T16:30:25.8156276Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:25.8156576Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:25.8156881Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-11-03T16:30:25.8157228Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-11-03T16:30:25.8157619Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:25.8157958Z     return func(*args, **kwargs)
2025-11-03T16:30:25.8158074Z 
2025-11-03T16:30:25.8158180Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:25.8158512Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:25.8158817Z     return mod(*inputs)
2025-11-03T16:30:25.8159065Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:25.8159344Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:25.8159609Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:25.8159881Z     h = x + self.attention.forward(
2025-11-03T16:30:25.8160150Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:25.8160445Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:25.8160757Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-11-03T16:30:25.8161070Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-11-03T16:30:25.8161497Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:25.8161839Z     return func(*args, **kwargs)
2025-11-03T16:30:25.8161951Z 
2025-11-03T16:30:25.8162059Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:25.8162394Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:25.8162700Z     return mod(*inputs)
2025-11-03T16:30:25.8162950Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:25.8163234Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:25.8163512Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:25.8163778Z     h = x + self.attention.forward(
2025-11-03T16:30:25.8164053Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:25.8164352Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:25.8164665Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-11-03T16:30:25.8164983Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-11-03T16:30:25.8165351Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:25.8165690Z     return func(*args, **kwargs)
2025-11-03T16:30:25.8165805Z 
2025-11-03T16:30:25.8165971Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:25.8166314Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:25.8166612Z     return mod(*inputs)
2025-11-03T16:30:25.8166857Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:25.8167135Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:25.8167416Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:25.8167692Z     h = x + self.attention.forward(
2025-11-03T16:30:25.8167952Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:25.8168250Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:25.8168563Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-11-03T16:30:25.8168886Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-11-03T16:30:25.8169250Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:25.8169575Z     return func(*args, **kwargs)
2025-11-03T16:30:25.8169695Z 
2025-11-03T16:30:25.8169793Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:25.8170131Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:25.8170439Z     return mod(*inputs)
2025-11-03T16:30:25.8170683Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:25.8170955Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:25.8171229Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:25.8171499Z     h = x + self.attention.forward(
2025-11-03T16:30:25.8171764Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:25.8172050Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:25.8172360Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-11-03T16:30:25.8172674Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-11-03T16:30:25.8173032Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:25.8173359Z     return func(*args, **kwargs)
2025-11-03T16:30:25.8173476Z 
2025-11-03T16:30:25.8173550Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8173787Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8173980Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8174201Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:25.8174531Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:25.8174830Z     return mod(*inputs)
2025-11-03T16:30:25.8175073Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:25.8175353Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:25.8175620Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:25.8175889Z     h = x + self.attention.forward(
2025-11-03T16:30:25.8176155Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:25.8176446Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:25.8176747Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-11-03T16:30:25.8177096Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-11-03T16:30:25.8177487Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:25.8177823Z     return func(*args, **kwargs)
2025-11-03T16:30:25.8177934Z 
2025-11-03T16:30:25.8178036Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:25.8178397Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:25.8178705Z     return mod(*inputs)
2025-11-03T16:30:25.8178951Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:25.8179228Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:25.8179499Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:25.8179774Z     h = x + self.attention.forward(
2025-11-03T16:30:25.8180046Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:25.8180344Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:25.8180658Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-11-03T16:30:25.8181000Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-11-03T16:30:25.8181405Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:25.8181748Z     return func(*args, **kwargs)
2025-11-03T16:30:25.8181860Z 
2025-11-03T16:30:25.8181963Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:25.8182314Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:25.8182617Z     return mod(*inputs)
2025-11-03T16:30:25.8182867Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:25.8183159Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:25.8183438Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:25.8183709Z     h = x + self.attention.forward(
2025-11-03T16:30:25.8183980Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:25.8184279Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:25.8184600Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-11-03T16:30:25.8184920Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-11-03T16:30:25.8185301Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:25.8185651Z     return func(*args, **kwargs)
2025-11-03T16:30:25.8185765Z 
2025-11-03T16:30:25.8185873Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:25.8186223Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:25.8186553Z     return mod(*inputs)
2025-11-03T16:30:25.8186802Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:25.8187081Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:25.8187359Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:25.8187624Z     h = x + self.attention.forward(
2025-11-03T16:30:25.8187893Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:25.8188186Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:25.8188500Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-11-03T16:30:25.8188820Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-11-03T16:30:25.8189177Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:25.8189519Z     return func(*args, **kwargs)
2025-11-03T16:30:25.8189638Z 
2025-11-03T16:30:25.8189735Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:25.8190077Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:25.8190378Z     return mod(*inputs)
2025-11-03T16:30:25.8190625Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:25.8190941Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:25.8191219Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:25.8191493Z     h = x + self.attention.forward(
2025-11-03T16:30:25.8191755Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:25.8192049Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:25.8192355Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-11-03T16:30:25.8192676Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-11-03T16:30:25.8193031Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:25.8193370Z     return func(*args, **kwargs)
2025-11-03T16:30:25.8193493Z 
2025-11-03T16:30:25.8193594Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:25.8193941Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:25.8194240Z     return mod(*inputs)
2025-11-03T16:30:25.8194481Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:25.8194762Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:25.8195036Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:25.8195309Z     h = x + self.attention.forward(
2025-11-03T16:30:25.8195565Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:25.8195864Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:25.8196176Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-11-03T16:30:25.8196494Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-11-03T16:30:25.8196858Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:25.8197189Z     return func(*args, **kwargs)
2025-11-03T16:30:25.8197309Z 
2025-11-03T16:30:25.8197384Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8197590Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8197794Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8197981Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8198179Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8198375Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8198603Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8198791Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8198984Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8199207Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:25.8199547Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:25.8199842Z     return mod(*inputs)
2025-11-03T16:30:25.8200092Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:25.8200371Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:25.8200646Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:25.8200917Z     h = x + self.attention.forward(
2025-11-03T16:30:25.8201249Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:25.8201587Z     return func(*args, **kwargs)
2025-11-03T16:30:25.8201702Z 
2025-11-03T16:30:25.8201783Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8201981Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8202169Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8202362Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8202585Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:25.8202923Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:25.8203217Z     return mod(*inputs)
2025-11-03T16:30:25.8203501Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:25.8203784Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:25.8204065Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 197, in forward
2025-11-03T16:30:25.8204370Z     out = h + self.feed_forward.forward(self.ffn_norm(h))
2025-11-03T16:30:25.8204661Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 170, in forward
2025-11-03T16:30:25.8204956Z     return self.w2(F.silu(self.w1(x)) * self.w3(x))
2025-11-03T16:30:25.8205324Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:25.8205668Z     return func(*args, **kwargs)
2025-11-03T16:30:25.8205781Z 
2025-11-03T16:30:25.8205855Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8206058Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8206255Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8206458Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8206646Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8206871Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:25.8207208Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:25.8207512Z     return mod(*inputs)
2025-11-03T16:30:25.8207758Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:25.8208032Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:25.8208307Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:25.8208583Z     h = x + self.attention.forward(
2025-11-03T16:30:25.8208850Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:25.8209139Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:25.8209457Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-11-03T16:30:25.8209809Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-11-03T16:30:25.8210200Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:25.8210541Z     return func(*args, **kwargs)
2025-11-03T16:30:25.8210656Z 
2025-11-03T16:30:25.8210753Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:25.8211125Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:25.8211424Z     return mod(*inputs)
2025-11-03T16:30:25.8211671Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:25.8211941Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:25.8212215Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:25.8212486Z     h = x + self.attention.forward(
2025-11-03T16:30:25.8212753Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:25.8213038Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:25.8213356Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-11-03T16:30:25.8213701Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-11-03T16:30:25.8214096Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:25.8214435Z     return func(*args, **kwargs)
2025-11-03T16:30:25.8214547Z 
2025-11-03T16:30:25.8214645Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:25.8214985Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:25.8215288Z     return mod(*inputs)
2025-11-03T16:30:25.8215532Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:25.8215854Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:25.8216129Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:25.8216401Z     h = x + self.attention.forward(
2025-11-03T16:30:25.8216668Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:25.8216961Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:25.8217268Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-11-03T16:30:25.8217591Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-11-03T16:30:25.8217956Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:25.8218292Z     return func(*args, **kwargs)
2025-11-03T16:30:25.8218403Z 
2025-11-03T16:30:25.8218510Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:25.8218840Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:25.8219147Z     return mod(*inputs)
2025-11-03T16:30:25.8219394Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:25.8219676Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:25.8219938Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:25.8220206Z     h = x + self.attention.forward(
2025-11-03T16:30:25.8220469Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:25.8220756Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:25.8221055Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-11-03T16:30:25.8221367Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-11-03T16:30:25.8221728Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:25.8222062Z     return func(*args, **kwargs)
2025-11-03T16:30:25.8222173Z 
2025-11-03T16:30:25.8222276Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:25.8222600Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:25.8222900Z     return mod(*inputs)
2025-11-03T16:30:25.8223141Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:25.8223416Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:25.8223717Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:25.8223987Z     h = x + self.attention.forward(
2025-11-03T16:30:25.8224250Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:25.8224539Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:25.8224850Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-11-03T16:30:25.8225159Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-11-03T16:30:25.8225523Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:25.8225853Z     return func(*args, **kwargs)
2025-11-03T16:30:25.8225963Z 
2025-11-03T16:30:25.8226067Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:25.8226393Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:25.8226697Z     return mod(*inputs)
2025-11-03T16:30:25.8226936Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:25.8227217Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:25.8227491Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:25.8227755Z     h = x + self.attention.forward(
2025-11-03T16:30:25.8228047Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:25.8228339Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:25.8228642Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-11-03T16:30:25.8228954Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-11-03T16:30:25.8229316Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:25.8229653Z     return func(*args, **kwargs)
2025-11-03T16:30:25.8229761Z 
2025-11-03T16:30:25.8229843Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8230044Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8230235Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8230454Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:25.8230789Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:25.8231090Z     return mod(*inputs)
2025-11-03T16:30:25.8231325Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:25.8231606Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:25.8231881Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:25.8232149Z     h = x + self.attention.forward(
2025-11-03T16:30:25.8232407Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:25.8232703Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:25.8233015Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-11-03T16:30:25.8233357Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-11-03T16:30:25.8233742Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:25.8234069Z     return func(*args, **kwargs)
2025-11-03T16:30:25.8234187Z 
2025-11-03T16:30:25.8234286Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:25.8234622Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:25.8234925Z     return mod(*inputs)
2025-11-03T16:30:25.8235161Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:25.8235438Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:25.8235710Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:25.8236012Z     h = x + self.attention.forward(
2025-11-03T16:30:25.8236279Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:25.8236564Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:25.8236873Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-11-03T16:30:25.8237219Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-11-03T16:30:25.8237606Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:25.8237930Z     return func(*args, **kwargs)
2025-11-03T16:30:25.8238050Z 
2025-11-03T16:30:25.8238146Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:25.8238486Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:25.8238784Z     return mod(*inputs)
2025-11-03T16:30:25.8239030Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:25.8239299Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:25.8239565Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:25.8239832Z     h = x + self.attention.forward(
2025-11-03T16:30:25.8240093Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:25.8240407Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:25.8240712Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-11-03T16:30:25.8241030Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-11-03T16:30:25.8241389Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:25.8241720Z     return func(*args, **kwargs)
2025-11-03T16:30:25.8241831Z 
2025-11-03T16:30:25.8241932Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:25.8242267Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:25.8242571Z     return mod(*inputs)
2025-11-03T16:30:25.8242818Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:25.8243090Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:25.8243363Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:25.8243645Z     h = x + self.attention.forward(
2025-11-03T16:30:25.8243910Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:25.8244195Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:25.8244508Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-11-03T16:30:25.8244827Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-11-03T16:30:25.8245192Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:25.8245525Z     return func(*args, **kwargs)
2025-11-03T16:30:25.8245635Z 
2025-11-03T16:30:25.8245734Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:25.8246077Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:25.8246379Z     return mod(*inputs)
2025-11-03T16:30:25.8246627Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:25.8246897Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:25.8247170Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:25.8247439Z     h = x + self.attention.forward(
2025-11-03T16:30:25.8247701Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:25.8247990Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:25.8248323Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-11-03T16:30:25.8248642Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-11-03T16:30:25.8249001Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:25.8249341Z     return func(*args, **kwargs)
2025-11-03T16:30:25.8249453Z 
2025-11-03T16:30:25.8249560Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:25.8249893Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:25.8250190Z     return mod(*inputs)
2025-11-03T16:30:25.8250436Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:25.8250715Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:25.8250981Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:25.8251249Z     h = x + self.attention.forward(
2025-11-03T16:30:25.8251515Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:25.8251808Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:25.8252111Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-11-03T16:30:25.8252427Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-11-03T16:30:25.8252816Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:25.8253153Z     return func(*args, **kwargs)
2025-11-03T16:30:25.8253264Z 
2025-11-03T16:30:25.8253350Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8253551Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8253795Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8253995Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8254193Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8254387Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8254588Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8254797Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8254989Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8255174Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8255364Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8255557Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8255755Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8255970Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:25.8256311Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:25.8256617Z     return mod(*inputs)
2025-11-03T16:30:25.8256866Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:25.8257140Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:25.8257412Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 197, in forward
2025-11-03T16:30:25.8257721Z     out = h + self.feed_forward.forward(self.ffn_norm(h))
2025-11-03T16:30:25.8258019Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 170, in forward
2025-11-03T16:30:25.8258311Z     return self.w2(F.silu(self.w1(x)) * self.w3(x))
2025-11-03T16:30:25.8258663Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:25.8259010Z     return func(*args, **kwargs)
2025-11-03T16:30:25.8259129Z 
2025-11-03T16:30:25.8259202Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8259399Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8259587Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8259780Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8259972Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8260189Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:25.8260589Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:25.8260893Z     return mod(*inputs)
2025-11-03T16:30:25.8261142Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:25.8261425Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:25.8261700Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:25.8261966Z     h = x + self.attention.forward(
2025-11-03T16:30:25.8262237Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:25.8262535Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:25.8262851Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-11-03T16:30:25.8263196Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-11-03T16:30:25.8263593Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:25.8263933Z     return func(*args, **kwargs)
2025-11-03T16:30:25.8264044Z 
2025-11-03T16:30:25.8264149Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:25.8264485Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:25.8264804Z     return mod(*inputs)
2025-11-03T16:30:25.8265055Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:25.8265384Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:25.8265671Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:25.8265935Z     h = x + self.attention.forward(
2025-11-03T16:30:25.8266212Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:25.8266511Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:25.8266822Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-11-03T16:30:25.8267169Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-11-03T16:30:25.8267553Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:25.8267897Z     return func(*args, **kwargs)
2025-11-03T16:30:25.8268021Z 
2025-11-03T16:30:25.8268120Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:25.8268463Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:25.8268783Z     return mod(*inputs)
2025-11-03T16:30:25.8269043Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:25.8269330Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:25.8269613Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:25.8269948Z     h = x + self.attention.forward(
2025-11-03T16:30:25.8270256Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:25.8270550Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:25.8270855Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-11-03T16:30:25.8271176Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-11-03T16:30:25.8271549Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:25.8271885Z     return func(*args, **kwargs)
2025-11-03T16:30:25.8271998Z 
2025-11-03T16:30:25.8272107Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:25.8272441Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:25.8272749Z     return mod(*inputs)
2025-11-03T16:30:25.8272995Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:25.8273308Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:25.8273575Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:25.8273847Z     h = x + self.attention.forward(
2025-11-03T16:30:25.8274115Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:25.8274408Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:25.8274710Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-11-03T16:30:25.8275028Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-11-03T16:30:25.8275393Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:25.8275732Z     return func(*args, **kwargs)
2025-11-03T16:30:25.8275844Z 
2025-11-03T16:30:25.8275949Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:25.8276280Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:25.8276588Z     return mod(*inputs)
2025-11-03T16:30:25.8276834Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:25.8277121Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:25.8277389Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:25.8277662Z     h = x + self.attention.forward(
2025-11-03T16:30:25.8277960Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:25.8278252Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:25.8278566Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-11-03T16:30:25.8278874Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-11-03T16:30:25.8279238Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:25.8279578Z     return func(*args, **kwargs)
2025-11-03T16:30:25.8279688Z 
2025-11-03T16:30:25.8279794Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:25.8280123Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:25.8280427Z     return mod(*inputs)
2025-11-03T16:30:25.8280678Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:25.8280961Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:25.8281238Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:25.8281501Z     h = x + self.attention.forward(
2025-11-03T16:30:25.8281766Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:25.8282056Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:25.8282363Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-11-03T16:30:25.8282676Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-11-03T16:30:25.8283041Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:25.8283376Z     return func(*args, **kwargs)
2025-11-03T16:30:25.8283488Z 
2025-11-03T16:30:25.8283574Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8283776Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8283966Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8284193Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:25.8284531Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:25.8284833Z     return mod(*inputs)
2025-11-03T16:30:25.8285071Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:25.8285348Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:25.8285624Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:25.8285930Z     h = x + self.attention.forward(
2025-11-03T16:30:25.8286185Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:25.8286482Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:25.8286798Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-11-03T16:30:25.8287147Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-11-03T16:30:25.8287541Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:25.8287868Z     return func(*args, **kwargs)
2025-11-03T16:30:25.8287988Z 
2025-11-03T16:30:25.8288087Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:25.8288426Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:25.8288739Z     return mod(*inputs)
2025-11-03T16:30:25.8288977Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:25.8289255Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:25.8289528Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:25.8289799Z     h = x + self.attention.forward(
2025-11-03T16:30:25.8290067Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:25.8290384Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:25.8290706Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-11-03T16:30:25.8291058Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-11-03T16:30:25.8291455Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:25.8291791Z     return func(*args, **kwargs)
2025-11-03T16:30:25.8291919Z 
2025-11-03T16:30:25.8292019Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:25.8292361Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:25.8292672Z     return mod(*inputs)
2025-11-03T16:30:25.8292922Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:25.8293200Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:25.8293483Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:25.8293761Z     h = x + self.attention.forward(
2025-11-03T16:30:25.8294033Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:25.8294331Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:25.8294651Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-11-03T16:30:25.8294981Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-11-03T16:30:25.8295359Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:25.8295704Z     return func(*args, **kwargs)
2025-11-03T16:30:25.8295821Z 
2025-11-03T16:30:25.8295920Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:25.8296268Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:25.8296580Z     return mod(*inputs)
2025-11-03T16:30:25.8296836Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:25.8297110Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:25.8297397Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:25.8297675Z     h = x + self.attention.forward(
2025-11-03T16:30:25.8297949Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:25.8298250Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:25.8298593Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-11-03T16:30:25.8298911Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-11-03T16:30:25.8299276Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:25.8299611Z     return func(*args, **kwargs)
2025-11-03T16:30:25.8299722Z 
2025-11-03T16:30:25.8299820Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:25.8300152Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:25.8300452Z     return mod(*inputs)
2025-11-03T16:30:25.8300691Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:25.8300969Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:25.8301231Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:25.8301498Z     h = x + self.attention.forward(
2025-11-03T16:30:25.8301755Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:25.8302048Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:25.8302351Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-11-03T16:30:25.8302671Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-11-03T16:30:25.8303066Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:25.8303405Z     return func(*args, **kwargs)
2025-11-03T16:30:25.8303514Z 
2025-11-03T16:30:25.8303619Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:25.8303945Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:25.8304243Z     return mod(*inputs)
2025-11-03T16:30:25.8304486Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:25.8304759Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:25.8305026Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:25.8305297Z     h = x + self.attention.forward(
2025-11-03T16:30:25.8305558Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:25.8305851Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:25.8306156Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-11-03T16:30:25.8306474Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-11-03T16:30:25.8306839Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:25.8307173Z     return func(*args, **kwargs)
2025-11-03T16:30:25.8307283Z 
2025-11-03T16:30:25.8307363Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8307558Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8307752Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8307947Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8308141Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8308327Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8308521Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8308712Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8308902Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8309119Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:25.8309455Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:25.8309761Z     return mod(*inputs)
2025-11-03T16:30:25.8310005Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:25.8310272Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:25.8310538Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:25.8310859Z     h = x + self.attention.forward(
2025-11-03T16:30:25.8311203Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:25.8311543Z     return func(*args, **kwargs)
2025-11-03T16:30:25.8311656Z 
2025-11-03T16:30:25.8311729Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8311929Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8312129Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8312318Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8312531Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:25.8312869Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:25.8313173Z     return mod(*inputs)
2025-11-03T16:30:25.8313421Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:25.8313700Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:25.8313976Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 197, in forward
2025-11-03T16:30:25.8314272Z     out = h + self.feed_forward.forward(self.ffn_norm(h))
2025-11-03T16:30:25.8314563Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 170, in forward
2025-11-03T16:30:25.8314849Z     return self.w2(F.silu(self.w1(x)) * self.w3(x))
2025-11-03T16:30:25.8315238Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:25.8315577Z     return func(*args, **kwargs)
2025-11-03T16:30:25.8315696Z 
2025-11-03T16:30:25.8315770Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8315962Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8316146Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8316339Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8316532Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8316753Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:25.8317083Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:25.8317386Z     return mod(*inputs)
2025-11-03T16:30:25.8317630Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:25.8317903Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:25.8318182Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:25.8318444Z     h = x + self.attention.forward(
2025-11-03T16:30:25.8318707Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:25.8318997Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:25.8319309Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-11-03T16:30:25.8319648Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-11-03T16:30:25.8320050Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:25.8320394Z     return func(*args, **kwargs)
2025-11-03T16:30:25.8320508Z 
2025-11-03T16:30:25.8320615Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:25.8320950Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:25.8321245Z     return mod(*inputs)
2025-11-03T16:30:25.8321493Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:25.8321771Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:25.8322045Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:25.8322311Z     h = x + self.attention.forward(
2025-11-03T16:30:25.8322579Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:25.8322873Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:25.8323225Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-11-03T16:30:25.8323568Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-11-03T16:30:25.8323953Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:25.8324289Z     return func(*args, **kwargs)
2025-11-03T16:30:25.8324412Z 
2025-11-03T16:30:25.8324512Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:25.8324848Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:25.8325140Z     return mod(*inputs)
2025-11-03T16:30:25.8325386Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:25.8325665Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:25.8325942Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:25.8326213Z     h = x + self.attention.forward(
2025-11-03T16:30:25.8326471Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:25.8326763Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:25.8327072Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-11-03T16:30:25.8327394Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-11-03T16:30:25.8327788Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:25.8328126Z     return func(*args, **kwargs)
2025-11-03T16:30:25.8328245Z 
2025-11-03T16:30:25.8328344Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:25.8328681Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:25.8328985Z     return mod(*inputs)
2025-11-03T16:30:25.8329225Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:25.8329502Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:25.8329778Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:25.8330048Z     h = x + self.attention.forward(
2025-11-03T16:30:25.8330306Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:25.8330596Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:25.8330909Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-11-03T16:30:25.8331230Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-11-03T16:30:25.8331600Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:25.8331936Z     return func(*args, **kwargs)
2025-11-03T16:30:25.8332055Z 
2025-11-03T16:30:25.8332153Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:25.8332497Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:25.8332803Z     return mod(*inputs)
2025-11-03T16:30:25.8333041Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:25.8333323Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:25.8333599Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:25.8333878Z     h = x + self.attention.forward(
2025-11-03T16:30:25.8334137Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:25.8334433Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:25.8334746Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-11-03T16:30:25.8335068Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-11-03T16:30:25.8335433Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:25.8335791Z     return func(*args, **kwargs)
2025-11-03T16:30:25.8335910Z 
2025-11-03T16:30:25.8336009Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:25.8336350Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:25.8336653Z     return mod(*inputs)
2025-11-03T16:30:25.8336901Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:25.8337168Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:25.8337442Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:25.8337713Z     h = x + self.attention.forward(
2025-11-03T16:30:25.8337978Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:25.8338266Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:25.8338583Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-11-03T16:30:25.8338904Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-11-03T16:30:25.8339266Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:25.8339594Z     return func(*args, **kwargs)
2025-11-03T16:30:25.8339712Z 
2025-11-03T16:30:25.8339787Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8340018Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8340218Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8340440Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:25.8340769Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:25.8341076Z     return mod(*inputs)
2025-11-03T16:30:25.8341323Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:25.8341606Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:25.8341872Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:25.8342143Z     h = x + self.attention.forward(
2025-11-03T16:30:25.8342406Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:25.8342700Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:25.8343007Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-11-03T16:30:25.8343356Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-11-03T16:30:25.8343751Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:25.8344093Z     return func(*args, **kwargs)
2025-11-03T16:30:25.8344205Z 
2025-11-03T16:30:25.8344309Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:25.8344638Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:25.8344947Z     return mod(*inputs)
2025-11-03T16:30:25.8345192Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:25.8345470Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:25.8345740Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:25.8346016Z     h = x + self.attention.forward(
2025-11-03T16:30:25.8346291Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:25.8346589Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:25.8346905Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-11-03T16:30:25.8347241Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-11-03T16:30:25.8347633Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:25.8348002Z     return func(*args, **kwargs)
2025-11-03T16:30:25.8348115Z 
2025-11-03T16:30:25.8348222Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:25.8348562Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:25.8348858Z     return mod(*inputs)
2025-11-03T16:30:25.8349104Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:25.8349386Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:25.8349661Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:25.8349926Z     h = x + self.attention.forward(
2025-11-03T16:30:25.8350193Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:25.8350485Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:25.8350795Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-11-03T16:30:25.8351108Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-11-03T16:30:25.8351473Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:25.8351813Z     return func(*args, **kwargs)
2025-11-03T16:30:25.8351925Z 
2025-11-03T16:30:25.8352034Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:25.8352415Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:25.8352713Z     return mod(*inputs)
2025-11-03T16:30:25.8352960Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:25.8353235Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:25.8353508Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:25.8353814Z     h = x + self.attention.forward(
2025-11-03T16:30:25.8354082Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:25.8354378Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:25.8354694Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-11-03T16:30:25.8355015Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-11-03T16:30:25.8355378Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:25.8355720Z     return func(*args, **kwargs)
2025-11-03T16:30:25.8355843Z 
2025-11-03T16:30:25.8355944Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:25.8356287Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:25.8356583Z     return mod(*inputs)
2025-11-03T16:30:25.8356830Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:25.8357112Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:25.8357389Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:25.8357662Z     h = x + self.attention.forward(
2025-11-03T16:30:25.8357919Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:25.8358211Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:25.8358523Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-11-03T16:30:25.8358843Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-11-03T16:30:25.8359199Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:25.8359536Z     return func(*args, **kwargs)
2025-11-03T16:30:25.8359656Z 
2025-11-03T16:30:25.8359754Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:25.8360096Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:25.8360448Z     return mod(*inputs)
2025-11-03T16:30:25.8360688Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:25.8360967Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:25.8361241Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:25.8361512Z     h = x + self.attention.forward(
2025-11-03T16:30:25.8361779Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:25.8362084Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:25.8362403Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-11-03T16:30:25.8362726Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-11-03T16:30:25.8363096Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:25.8363427Z     return func(*args, **kwargs)
2025-11-03T16:30:25.8363550Z 
2025-11-03T16:30:25.8363627Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8363833Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8364034Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8364224Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8364418Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8364614Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8364807Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8365036Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8365238Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8365434Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8365628Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8365817Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8366015Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8366239Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:25.8366579Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:25.8366877Z     return mod(*inputs)
2025-11-03T16:30:25.8367125Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:25.8367403Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:25.8367678Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 197, in forward
2025-11-03T16:30:25.8367977Z     out = h + self.feed_forward.forward(self.ffn_norm(h))
2025-11-03T16:30:25.8368269Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 170, in forward
2025-11-03T16:30:25.8368561Z     return self.w2(F.silu(self.w1(x)) * self.w3(x))
2025-11-03T16:30:25.8368921Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:25.8369260Z     return func(*args, **kwargs)
2025-11-03T16:30:25.8369372Z 
2025-11-03T16:30:25.8369446Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8369647Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8369839Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8370034Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8370224Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8370446Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:25.8370783Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:25.8371089Z     return mod(*inputs)
2025-11-03T16:30:25.8371334Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:25.8371605Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:25.8371881Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:25.8372152Z     h = x + self.attention.forward(
2025-11-03T16:30:25.8372422Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:25.8372741Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:25.8373057Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-11-03T16:30:25.8373407Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-11-03T16:30:25.8373802Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:25.8374143Z     return func(*args, **kwargs)
2025-11-03T16:30:25.8374255Z 
2025-11-03T16:30:25.8374355Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:25.8374695Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:25.8375001Z     return mod(*inputs)
2025-11-03T16:30:25.8375245Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:25.8375519Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:25.8375795Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:25.8376074Z     h = x + self.attention.forward(
2025-11-03T16:30:25.8376340Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:25.8376627Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:25.8376942Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-11-03T16:30:25.8377290Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-11-03T16:30:25.8377768Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:25.8378109Z     return func(*args, **kwargs)
2025-11-03T16:30:25.8378221Z 
2025-11-03T16:30:25.8378320Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:25.8378659Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:25.8378964Z     return mod(*inputs)
2025-11-03T16:30:25.8379214Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:25.8379493Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:25.8379763Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:25.8380036Z     h = x + self.attention.forward(
2025-11-03T16:30:25.8380305Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:25.8380605Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:25.8380912Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-11-03T16:30:25.8381235Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-11-03T16:30:25.8381605Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:25.8381940Z     return func(*args, **kwargs)
2025-11-03T16:30:25.8382050Z 
2025-11-03T16:30:25.8382162Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:25.8382493Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:25.8382798Z     return mod(*inputs)
2025-11-03T16:30:25.8383044Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:25.8383325Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:25.8383591Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:25.8383874Z     h = x + self.attention.forward(
2025-11-03T16:30:25.8384139Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:25.8384436Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:25.8384741Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-11-03T16:30:25.8385061Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-11-03T16:30:25.8385464Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:25.8385800Z     return func(*args, **kwargs)
2025-11-03T16:30:25.8385910Z 
2025-11-03T16:30:25.8386016Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:25.8386342Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:25.8386644Z     return mod(*inputs)
2025-11-03T16:30:25.8386894Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:25.8387170Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:25.8387436Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:25.8387706Z     h = x + self.attention.forward(
2025-11-03T16:30:25.8387978Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:25.8388268Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:25.8388578Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-11-03T16:30:25.8388891Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-11-03T16:30:25.8389253Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:25.8389588Z     return func(*args, **kwargs)
2025-11-03T16:30:25.8389697Z 
2025-11-03T16:30:25.8389842Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:25.8390171Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:25.8390472Z     return mod(*inputs)
2025-11-03T16:30:25.8390718Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:25.8390992Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:25.8391268Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:25.8391533Z     h = x + self.attention.forward(
2025-11-03T16:30:25.8391797Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:25.8392091Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:25.8392402Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-11-03T16:30:25.8392711Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-11-03T16:30:25.8393074Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:25.8393412Z     return func(*args, **kwargs)
2025-11-03T16:30:25.8393524Z 
2025-11-03T16:30:25.8393607Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8393813Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8394003Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8394227Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:25.8394565Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:25.8394870Z     return mod(*inputs)
2025-11-03T16:30:25.8395108Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:25.8395389Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:25.8395663Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:25.8395937Z     h = x + self.attention.forward(
2025-11-03T16:30:25.8396196Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:25.8396493Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:25.8396802Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-11-03T16:30:25.8397147Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-11-03T16:30:25.8397543Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:25.8397915Z     return func(*args, **kwargs)
2025-11-03T16:30:25.8398037Z 
2025-11-03T16:30:25.8398137Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:25.8398478Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:25.8398788Z     return mod(*inputs)
2025-11-03T16:30:25.8399026Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:25.8399314Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:25.8399594Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:25.8399871Z     h = x + self.attention.forward(
2025-11-03T16:30:25.8400140Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:25.8400429Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:25.8400743Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-11-03T16:30:25.8401091Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-11-03T16:30:25.8401485Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:25.8401817Z     return func(*args, **kwargs)
2025-11-03T16:30:25.8401940Z 
2025-11-03T16:30:25.8402039Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:25.8402426Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:25.8402730Z     return mod(*inputs)
2025-11-03T16:30:25.8402975Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:25.8403247Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:25.8403527Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:25.8403801Z     h = x + self.attention.forward(
2025-11-03T16:30:25.8404070Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:25.8404355Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:25.8404665Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-11-03T16:30:25.8404983Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-11-03T16:30:25.8405348Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:25.8405689Z     return func(*args, **kwargs)
2025-11-03T16:30:25.8405800Z 
2025-11-03T16:30:25.8405898Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:25.8406235Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:25.8406541Z     return mod(*inputs)
2025-11-03T16:30:25.8406786Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:25.8407059Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:25.8407337Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:25.8407609Z     h = x + self.attention.forward(
2025-11-03T16:30:25.8407874Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:25.8408169Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:25.8408475Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-11-03T16:30:25.8408795Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-11-03T16:30:25.8409155Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:25.8409490Z     return func(*args, **kwargs)
2025-11-03T16:30:25.8409602Z 
2025-11-03T16:30:25.8409700Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:25.8410032Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:25.8410367Z     return mod(*inputs)
2025-11-03T16:30:25.8410612Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:25.8410894Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:25.8411162Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:25.8411434Z     h = x + self.attention.forward(
2025-11-03T16:30:25.8411705Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:25.8411999Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:25.8412301Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-11-03T16:30:25.8412622Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-11-03T16:30:25.8412984Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:25.8413327Z     return func(*args, **kwargs)
2025-11-03T16:30:25.8413439Z 
2025-11-03T16:30:25.8413547Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:25.8413876Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:25.8414177Z     return mod(*inputs)
2025-11-03T16:30:25.8414423Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:25.8414701Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:25.8415004Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:25.8415279Z     h = x + self.attention.forward(
2025-11-03T16:30:25.8415546Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:25.8415840Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:25.8416144Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-11-03T16:30:25.8416472Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-11-03T16:30:25.8416839Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:25.8417180Z     return func(*args, **kwargs)
2025-11-03T16:30:25.8417291Z 
2025-11-03T16:30:25.8417375Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8417572Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8417772Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8417969Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8418166Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8418356Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8418551Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8418742Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8418936Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8419150Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:25.8419489Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:25.8419791Z     return mod(*inputs)
2025-11-03T16:30:25.8420036Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:25.8420309Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:25.8420585Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:25.8420856Z     h = x + self.attention.forward(
2025-11-03T16:30:25.8421196Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:25.8421536Z     return func(*args, **kwargs)
2025-11-03T16:30:25.8421647Z 
2025-11-03T16:30:25.8421719Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8421918Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8422117Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8422312Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8422559Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:25.8422896Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:25.8423197Z     return mod(*inputs)
2025-11-03T16:30:25.8423444Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:25.8423715Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:25.8423997Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 197, in forward
2025-11-03T16:30:25.8424299Z     out = h + self.feed_forward.forward(self.ffn_norm(h))
2025-11-03T16:30:25.8424597Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 170, in forward
2025-11-03T16:30:25.8424688Z     return self.w2(F.silu(self.w1(x)) * self.w3(x))
2025-11-03T16:30:25.8424912Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:25.8424981Z     return func(*args, **kwargs)
2025-11-03T16:30:25.8424986Z 
2025-11-03T16:30:25.8425060Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8425148Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8425219Z cudagraph partition due to non gpu ops
2025-11-03T16:30:25.8425326Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:25.8425511Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:25.8425573Z     return mod(*inputs)
2025-11-03T16:30:25.8425762Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 244, in forward
2025-11-03T16:30:25.8425885Z     output = self.output(h[:, -1, :])  # only compute last logits
2025-11-03T16:30:25.8426108Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:25.8426176Z     return func(*args, **kwargs)
2025-11-03T16:30:25.8426179Z 
2025-11-03T16:30:25.8426284Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:25.8426471Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:25.8426536Z     return mod(*inputs)
2025-11-03T16:30:25.8426692Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 244, in forward
2025-11-03T16:30:25.8426803Z     output = self.output(h[:, -1, :])  # only compute last logits
2025-11-03T16:30:25.8427024Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:25.8427094Z     return func(*args, **kwargs)
2025-11-03T16:30:25.8427097Z 
2025-11-03T16:30:25.8427195Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:25.8427388Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:25.8427448Z     return mod(*inputs)
2025-11-03T16:30:25.8427601Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 244, in forward
2025-11-03T16:30:25.8427714Z     output = self.output(h[:, -1, :])  # only compute last logits
2025-11-03T16:30:25.8427925Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:25.8428000Z     return func(*args, **kwargs)
2025-11-03T16:30:25.8428003Z 
2025-11-03T16:30:25.8428100Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:25.8428290Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:25.8428355Z     return mod(*inputs)
2025-11-03T16:30:25.8428515Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 245, in forward
2025-11-03T16:30:25.8428584Z     return output.float()
2025-11-03T16:30:25.8428797Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:25.8428870Z     return func(*args, **kwargs)
2025-11-03T16:30:25.8428873Z 
2025-11-03T16:30:44.3221653Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3222383Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3222598Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3222847Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:44.3223224Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:44.3223536Z     return mod(*inputs)
2025-11-03T16:30:44.3223810Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:44.3224124Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:44.3224413Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:44.3224695Z     h = x + self.attention.forward(
2025-11-03T16:30:44.3224959Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:44.3225266Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:44.3225586Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-11-03T16:30:44.3225945Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-11-03T16:30:44.3226360Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:44.3226712Z     return func(*args, **kwargs)
2025-11-03T16:30:44.3226839Z 
2025-11-03T16:30:44.3226943Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:44.3227382Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:44.3227699Z     return mod(*inputs)
2025-11-03T16:30:44.3227944Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:44.3228229Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:44.3228509Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:44.3228782Z     h = x + self.attention.forward(
2025-11-03T16:30:44.3229049Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:44.3229348Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:44.3229673Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-11-03T16:30:44.3230016Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-11-03T16:30:44.3230420Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:44.3230755Z     return func(*args, **kwargs)
2025-11-03T16:30:44.3230881Z 
2025-11-03T16:30:44.3230980Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:44.3231321Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:44.3231632Z     return mod(*inputs)
2025-11-03T16:30:44.3231867Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:44.3232157Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:44.3232435Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:44.3232709Z     h = x + self.attention.forward(
2025-11-03T16:30:44.3232978Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:44.3233264Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:44.3233581Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-11-03T16:30:44.3233905Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-11-03T16:30:44.3234271Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:44.3234604Z     return func(*args, **kwargs)
2025-11-03T16:30:44.3234724Z 
2025-11-03T16:30:44.3234824Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:44.3235162Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:44.3235513Z     return mod(*inputs)
2025-11-03T16:30:44.3235768Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:44.3236040Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:44.3236318Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:44.3236598Z     h = x + self.attention.forward(
2025-11-03T16:30:44.3236871Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:44.3237160Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:44.3237482Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-11-03T16:30:44.3237810Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-11-03T16:30:44.3238184Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:44.3238528Z     return func(*args, **kwargs)
2025-11-03T16:30:44.3238801Z 
2025-11-03T16:30:44.3238901Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:44.3239245Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:44.3239558Z     return mod(*inputs)
2025-11-03T16:30:44.3239804Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:44.3240122Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:44.3240400Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:44.3240673Z     h = x + self.attention.forward(
2025-11-03T16:30:44.3240940Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:44.3241236Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:44.3241547Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-11-03T16:30:44.3241880Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-11-03T16:30:44.3242243Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:44.3242579Z     return func(*args, **kwargs)
2025-11-03T16:30:44.3242692Z 
2025-11-03T16:30:44.3242792Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:44.3243142Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:44.3243452Z     return mod(*inputs)
2025-11-03T16:30:44.3243698Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:44.3243989Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:44.3244255Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:44.3244528Z     h = x + self.attention.forward(
2025-11-03T16:30:44.3244794Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:44.3245093Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:44.3245398Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-11-03T16:30:44.3245720Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-11-03T16:30:44.3246088Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:44.3246426Z     return func(*args, **kwargs)
2025-11-03T16:30:44.3246542Z 
2025-11-03T16:30:44.3246628Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3246830Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3247035Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3247263Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:44.3247605Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:44.3247900Z     return mod(*inputs)
2025-11-03T16:30:44.3248192Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:44.3248488Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:44.3248767Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:44.3249041Z     h = x + self.attention.forward(
2025-11-03T16:30:44.3249310Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:44.3249608Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:44.3249931Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-11-03T16:30:44.3250280Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-11-03T16:30:44.3250670Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:44.3251018Z     return func(*args, **kwargs)
2025-11-03T16:30:44.3251148Z 
2025-11-03T16:30:44.3251251Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:44.3251591Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:44.3251896Z     return mod(*inputs)
2025-11-03T16:30:44.3252144Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:44.3252425Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:44.3252741Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:44.3253015Z     h = x + self.attention.forward(
2025-11-03T16:30:44.3253277Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:44.3253612Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:44.3253933Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-11-03T16:30:44.3254276Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-11-03T16:30:44.3254662Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:44.3255004Z     return func(*args, **kwargs)
2025-11-03T16:30:44.3255121Z 
2025-11-03T16:30:44.3255219Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:44.3255557Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:44.3255856Z     return mod(*inputs)
2025-11-03T16:30:44.3256096Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:44.3256378Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:44.3256654Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:44.3256921Z     h = x + self.attention.forward(
2025-11-03T16:30:44.3257179Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:44.3257471Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:44.3257790Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-11-03T16:30:44.3258107Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-11-03T16:30:44.3258472Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:44.3258836Z     return func(*args, **kwargs)
2025-11-03T16:30:44.3258957Z 
2025-11-03T16:30:44.3259061Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:44.3259407Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:44.3259714Z     return mod(*inputs)
2025-11-03T16:30:44.3259950Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:44.3260228Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:44.3260503Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:44.3260843Z     h = x + self.attention.forward(
2025-11-03T16:30:44.3261109Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:44.3261395Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:44.3261710Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-11-03T16:30:44.3262032Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-11-03T16:30:44.3262402Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:44.3262733Z     return func(*args, **kwargs)
2025-11-03T16:30:44.3262853Z 
2025-11-03T16:30:44.3262953Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:44.3263295Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:44.3263603Z     return mod(*inputs)
2025-11-03T16:30:44.3263854Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:44.3264134Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:44.3264412Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:44.3264687Z     h = x + self.attention.forward(
2025-11-03T16:30:44.3264953Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:44.3265236Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:44.3265612Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-11-03T16:30:44.3265932Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-11-03T16:30:44.3266301Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:44.3266643Z     return func(*args, **kwargs)
2025-11-03T16:30:44.3266756Z 
2025-11-03T16:30:44.3266852Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:44.3267197Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:44.3267501Z     return mod(*inputs)
2025-11-03T16:30:44.3267748Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:44.3268026Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:44.3268304Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:44.3268581Z     h = x + self.attention.forward(
2025-11-03T16:30:44.3268853Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:44.3269140Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:44.3269452Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-11-03T16:30:44.3269772Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-11-03T16:30:44.3270140Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:44.3270490Z     return func(*args, **kwargs)
2025-11-03T16:30:44.3270609Z 
2025-11-03T16:30:44.3270687Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3270896Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3271102Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3271313Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3271504Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3271701Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3271900Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3272093Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3272279Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3272475Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3272673Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3272876Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3274047Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3274277Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:44.3274623Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:44.3274930Z     return mod(*inputs)
2025-11-03T16:30:44.3275178Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:44.3275454Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:44.3275731Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 197, in forward
2025-11-03T16:30:44.3276032Z     out = h + self.feed_forward.forward(self.ffn_norm(h))
2025-11-03T16:30:44.3276329Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 170, in forward
2025-11-03T16:30:44.3276614Z     return self.w2(F.silu(self.w1(x)) * self.w3(x))
2025-11-03T16:30:44.3276981Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:44.3277324Z     return func(*args, **kwargs)
2025-11-03T16:30:44.3277436Z 
2025-11-03T16:30:44.3277518Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3277720Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3277912Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3278106Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3278304Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3278528Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:44.3278907Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:44.3279209Z     return mod(*inputs)
2025-11-03T16:30:44.3279456Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:44.3279735Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:44.3280005Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:44.3280277Z     h = x + self.attention.forward(
2025-11-03T16:30:44.3280545Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:44.3280839Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:44.3281149Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-11-03T16:30:44.3281495Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-11-03T16:30:44.3281888Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:44.3282228Z     return func(*args, **kwargs)
2025-11-03T16:30:44.3282339Z 
2025-11-03T16:30:44.3282446Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:44.3282782Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:44.3283091Z     return mod(*inputs)
2025-11-03T16:30:44.3283343Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:44.3283635Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:44.3283917Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:44.3284189Z     h = x + self.attention.forward(
2025-11-03T16:30:44.3284467Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:44.3284770Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:44.3285097Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-11-03T16:30:44.3285441Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-11-03T16:30:44.3285842Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:44.3286184Z     return func(*args, **kwargs)
2025-11-03T16:30:44.3286301Z 
2025-11-03T16:30:44.3286411Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:44.3286816Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:44.3287118Z     return mod(*inputs)
2025-11-03T16:30:44.3287369Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:44.3287659Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:44.3287937Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:44.3288209Z     h = x + self.attention.forward(
2025-11-03T16:30:44.3288490Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:44.3288791Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:44.3289110Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-11-03T16:30:44.3289429Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-11-03T16:30:44.3289806Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:44.3290157Z     return func(*args, **kwargs)
2025-11-03T16:30:44.3290272Z 
2025-11-03T16:30:44.3290383Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:44.3290729Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:44.3291034Z     return mod(*inputs)
2025-11-03T16:30:44.3291286Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:44.3291607Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:44.3291892Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:44.3292163Z     h = x + self.attention.forward(
2025-11-03T16:30:44.3292436Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:44.3292737Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:44.3293055Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-11-03T16:30:44.3293387Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-11-03T16:30:44.3293757Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:44.3294100Z     return func(*args, **kwargs)
2025-11-03T16:30:44.3294219Z 
2025-11-03T16:30:44.3294319Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:44.3294665Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:44.3294967Z     return mod(*inputs)
2025-11-03T16:30:44.3295217Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:44.3295502Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:44.3295782Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:44.3296061Z     h = x + self.attention.forward(
2025-11-03T16:30:44.3296330Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:44.3296635Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:44.3296957Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-11-03T16:30:44.3297288Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-11-03T16:30:44.3297656Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:44.3298006Z     return func(*args, **kwargs)
2025-11-03T16:30:44.3298131Z 
2025-11-03T16:30:44.3298231Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:44.3298583Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:44.3298896Z     return mod(*inputs)
2025-11-03T16:30:44.3299141Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:44.3299430Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:44.3299750Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:44.3300027Z     h = x + self.attention.forward(
2025-11-03T16:30:44.3300295Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:44.3300597Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:44.3300921Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-11-03T16:30:44.3301250Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-11-03T16:30:44.3301622Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:44.3301960Z     return func(*args, **kwargs)
2025-11-03T16:30:44.3302081Z 
2025-11-03T16:30:44.3302160Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3302368Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3302575Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3302800Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:44.3303155Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:44.3303459Z     return mod(*inputs)
2025-11-03T16:30:44.3303706Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:44.3303982Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:44.3304285Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:44.3304558Z     h = x + self.attention.forward(
2025-11-03T16:30:44.3304825Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:44.3305118Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:44.3305421Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-11-03T16:30:44.3305767Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-11-03T16:30:44.3306161Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:44.3306496Z     return func(*args, **kwargs)
2025-11-03T16:30:44.3306608Z 
2025-11-03T16:30:44.3306707Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:44.3307044Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:44.3307348Z     return mod(*inputs)
2025-11-03T16:30:44.3307595Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:44.3307872Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:44.3308138Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:44.3308409Z     h = x + self.attention.forward(
2025-11-03T16:30:44.3308674Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:44.3308969Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:44.3309275Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-11-03T16:30:44.3309621Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-11-03T16:30:44.3310009Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:44.3310347Z     return func(*args, **kwargs)
2025-11-03T16:30:44.3310457Z 
2025-11-03T16:30:44.3310568Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:44.3310911Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:44.3311217Z     return mod(*inputs)
2025-11-03T16:30:44.3311464Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:44.3311746Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:44.3312012Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:44.3312331Z     h = x + self.attention.forward(
2025-11-03T16:30:44.3312597Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:44.3312891Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:44.3313197Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-11-03T16:30:44.3313520Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-11-03T16:30:44.3313887Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:44.3314236Z     return func(*args, **kwargs)
2025-11-03T16:30:44.3314350Z 
2025-11-03T16:30:44.3314459Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:44.3314791Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:44.3315097Z     return mod(*inputs)
2025-11-03T16:30:44.3315348Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:44.3315634Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:44.3315904Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:44.3316173Z     h = x + self.attention.forward(
2025-11-03T16:30:44.3316442Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:44.3316765Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:44.3317075Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-11-03T16:30:44.3317385Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-11-03T16:30:44.3317748Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:44.3318084Z     return func(*args, **kwargs)
2025-11-03T16:30:44.3318195Z 
2025-11-03T16:30:44.3318307Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:44.3318632Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:44.3318935Z     return mod(*inputs)
2025-11-03T16:30:44.3319177Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:44.3319456Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:44.3319730Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:44.3319992Z     h = x + self.attention.forward(
2025-11-03T16:30:44.3320258Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:44.3320550Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:44.3320865Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-11-03T16:30:44.3321174Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-11-03T16:30:44.3321533Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:44.3321870Z     return func(*args, **kwargs)
2025-11-03T16:30:44.3321980Z 
2025-11-03T16:30:44.3322089Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:44.3322423Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:44.3322716Z     return mod(*inputs)
2025-11-03T16:30:44.3322963Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:44.3323240Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:44.3323515Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:44.3323775Z     h = x + self.attention.forward(
2025-11-03T16:30:44.3324045Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:44.3324342Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:44.3324689Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-11-03T16:30:44.3325011Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-11-03T16:30:44.3325370Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:44.3325712Z     return func(*args, **kwargs)
2025-11-03T16:30:44.3325830Z 
2025-11-03T16:30:44.3325904Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3326112Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3326306Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3326506Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3326699Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3326897Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3327086Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3327281Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3327479Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3327680Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3327868Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3328067Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3328263Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3328483Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:44.3328816Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:44.3329161Z     return mod(*inputs)
2025-11-03T16:30:44.3329408Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:44.3329691Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:44.3329965Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 197, in forward
2025-11-03T16:30:44.3330257Z     out = h + self.feed_forward.forward(self.ffn_norm(h))
2025-11-03T16:30:44.3330549Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 170, in forward
2025-11-03T16:30:44.3330839Z     return self.w2(F.silu(self.w1(x)) * self.w3(x))
2025-11-03T16:30:44.3331201Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:44.3331530Z     return func(*args, **kwargs)
2025-11-03T16:30:44.3331647Z 
2025-11-03T16:30:44.3331720Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3331922Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3332122Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3332310Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3332507Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3332729Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:44.3333067Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:44.3333372Z     return mod(*inputs)
2025-11-03T16:30:44.3333612Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:44.3333897Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:44.3334171Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:44.3334448Z     h = x + self.attention.forward(
2025-11-03T16:30:44.3334710Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:44.3335010Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:44.3335331Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-11-03T16:30:44.3335683Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-11-03T16:30:44.3336076Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:44.3336411Z     return func(*args, **kwargs)
2025-11-03T16:30:44.3336533Z 
2025-11-03T16:30:44.3336632Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:44.3337018Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:44.3337323Z     return mod(*inputs)
2025-11-03T16:30:44.3337562Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:44.3337840Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:44.3338115Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:44.3342223Z     h = x + self.attention.forward(
2025-11-03T16:30:44.3342504Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:44.3342812Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:44.3343144Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-11-03T16:30:44.3343506Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-11-03T16:30:44.3343912Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:44.3344273Z     return func(*args, **kwargs)
2025-11-03T16:30:44.3344400Z 
2025-11-03T16:30:44.3344503Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:44.3344853Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:44.3345165Z     return mod(*inputs)
2025-11-03T16:30:44.3345410Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:44.3345783Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:44.3346058Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:44.3346340Z     h = x + self.attention.forward(
2025-11-03T16:30:44.3346616Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:44.3346919Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:44.3347237Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-11-03T16:30:44.3347566Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-11-03T16:30:44.3347946Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:44.3348297Z     return func(*args, **kwargs)
2025-11-03T16:30:44.3348414Z 
2025-11-03T16:30:44.3348524Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:44.3348873Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:44.3349189Z     return mod(*inputs)
2025-11-03T16:30:44.3349445Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:44.3349732Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:44.3350004Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:44.3350282Z     h = x + self.attention.forward(
2025-11-03T16:30:44.3350558Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:44.3350860Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:44.3351176Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-11-03T16:30:44.3351495Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-11-03T16:30:44.3351869Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:44.3352214Z     return func(*args, **kwargs)
2025-11-03T16:30:44.3352327Z 
2025-11-03T16:30:44.3352433Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:44.3352774Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:44.3353084Z     return mod(*inputs)
2025-11-03T16:30:44.3353335Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:44.3353684Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:44.3353965Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:44.3354235Z     h = x + self.attention.forward(
2025-11-03T16:30:44.3354510Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:44.3354811Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:44.3355138Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-11-03T16:30:44.3355531Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-11-03T16:30:44.3355919Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:44.3356270Z     return func(*args, **kwargs)
2025-11-03T16:30:44.3356384Z 
2025-11-03T16:30:44.3356495Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:44.3356848Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:44.3357158Z     return mod(*inputs)
2025-11-03T16:30:44.3357414Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:44.3357704Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:44.3357993Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:44.3358263Z     h = x + self.attention.forward(
2025-11-03T16:30:44.3358620Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:44.3358923Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:44.3359246Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-11-03T16:30:44.3359575Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-11-03T16:30:44.3359945Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:44.3360296Z     return func(*args, **kwargs)
2025-11-03T16:30:44.3360416Z 
2025-11-03T16:30:44.3360494Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3360698Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3360890Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3361113Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:44.3361457Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:44.3361767Z     return mod(*inputs)
2025-11-03T16:30:44.3362007Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:44.3362289Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:44.3362567Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:44.3362842Z     h = x + self.attention.forward(
2025-11-03T16:30:44.3363108Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:44.3363391Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:44.3363703Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-11-03T16:30:44.3364043Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-11-03T16:30:44.3364436Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:44.3364767Z     return func(*args, **kwargs)
2025-11-03T16:30:44.3364889Z 
2025-11-03T16:30:44.3364989Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:44.3365326Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:44.3365632Z     return mod(*inputs)
2025-11-03T16:30:44.3365877Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:44.3366148Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:44.3366425Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:44.3366717Z     h = x + self.attention.forward(
2025-11-03T16:30:44.3366982Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:44.3367264Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:44.3367586Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-11-03T16:30:44.3367923Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-11-03T16:30:44.3368349Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:44.3368689Z     return func(*args, **kwargs)
2025-11-03T16:30:44.3368802Z 
2025-11-03T16:30:44.3368911Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:44.3369251Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:44.3369550Z     return mod(*inputs)
2025-11-03T16:30:44.3369797Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:44.3370079Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:44.3370350Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:44.3370614Z     h = x + self.attention.forward(
2025-11-03T16:30:44.3370885Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:44.3371221Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:44.3371535Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-11-03T16:30:44.3371847Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-11-03T16:30:44.3372214Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:44.3372551Z     return func(*args, **kwargs)
2025-11-03T16:30:44.3372663Z 
2025-11-03T16:30:44.3372772Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:44.3373104Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:44.3373398Z     return mod(*inputs)
2025-11-03T16:30:44.3373643Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:44.3373922Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:44.3374199Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:44.3374464Z     h = x + self.attention.forward(
2025-11-03T16:30:44.3374729Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:44.3375023Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:44.3375333Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-11-03T16:30:44.3375655Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-11-03T16:30:44.3376014Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:44.3376352Z     return func(*args, **kwargs)
2025-11-03T16:30:44.3376470Z 
2025-11-03T16:30:44.3376571Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:44.3376907Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:44.3377200Z     return mod(*inputs)
2025-11-03T16:30:44.3377451Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:44.3377732Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:44.3378008Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:44.3378284Z     h = x + self.attention.forward(
2025-11-03T16:30:44.3378541Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:44.3378835Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:44.3379170Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-11-03T16:30:44.3379489Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-11-03T16:30:44.3379847Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:44.3380183Z     return func(*args, **kwargs)
2025-11-03T16:30:44.3380302Z 
2025-11-03T16:30:44.3380429Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:44.3380771Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:44.3381077Z     return mod(*inputs)
2025-11-03T16:30:44.3381321Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:44.3381602Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:44.3381879Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:44.3382152Z     h = x + self.attention.forward(
2025-11-03T16:30:44.3382412Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:44.3382706Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:44.3383023Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-11-03T16:30:44.3383341Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-11-03T16:30:44.3383736Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:44.3384065Z     return func(*args, **kwargs)
2025-11-03T16:30:44.3384187Z 
2025-11-03T16:30:44.3384263Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3384469Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3384671Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3384859Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3385054Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3385250Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3385446Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3385633Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3385832Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3386027Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3386222Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3386410Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3386613Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3386838Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:44.3387178Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:44.3387469Z     return mod(*inputs)
2025-11-03T16:30:44.3387714Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:44.3387993Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:44.3388269Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 197, in forward
2025-11-03T16:30:44.3388563Z     out = h + self.feed_forward.forward(self.ffn_norm(h))
2025-11-03T16:30:44.3388848Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 170, in forward
2025-11-03T16:30:44.3389136Z     return self.w2(F.silu(self.w1(x)) * self.w3(x))
2025-11-03T16:30:44.3389491Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:44.3389834Z     return func(*args, **kwargs)
2025-11-03T16:30:44.3389946Z 
2025-11-03T16:30:44.3390020Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3390218Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3390415Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3390612Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3390800Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3391021Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:44.3391377Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:44.3391681Z     return mod(*inputs)
2025-11-03T16:30:44.3391927Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:44.3392201Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:44.3392478Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:44.3392771Z     h = x + self.attention.forward(
2025-11-03T16:30:44.3393041Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:44.3393327Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:44.3393642Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-11-03T16:30:44.3393987Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-11-03T16:30:44.3394379Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:44.3394721Z     return func(*args, **kwargs)
2025-11-03T16:30:44.3394832Z 
2025-11-03T16:30:44.3394931Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:44.3395267Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:44.3395571Z     return mod(*inputs)
2025-11-03T16:30:44.3395850Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:44.3396126Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:44.3396406Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:44.3396679Z     h = x + self.attention.forward(
2025-11-03T16:30:44.3396946Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:44.3397233Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:44.3397548Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-11-03T16:30:44.3397891Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-11-03T16:30:44.3398277Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:44.3398615Z     return func(*args, **kwargs)
2025-11-03T16:30:44.3398725Z 
2025-11-03T16:30:44.3398825Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:44.3399166Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:44.3399468Z     return mod(*inputs)
2025-11-03T16:30:44.3399713Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:44.3399992Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:44.3400259Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:44.3400527Z     h = x + self.attention.forward(
2025-11-03T16:30:44.3400796Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:44.3401090Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:44.3401396Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-11-03T16:30:44.3401721Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-11-03T16:30:44.3402088Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:44.3402423Z     return func(*args, **kwargs)
2025-11-03T16:30:44.3402532Z 
2025-11-03T16:30:44.3402636Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:44.3402967Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:44.3403267Z     return mod(*inputs)
2025-11-03T16:30:44.3403512Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:44.3403804Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:44.3404072Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:44.3404344Z     h = x + self.attention.forward(
2025-11-03T16:30:44.3404611Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:44.3404905Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:44.3405210Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-11-03T16:30:44.3405550Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-11-03T16:30:44.3405914Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:44.3406251Z     return func(*args, **kwargs)
2025-11-03T16:30:44.3406362Z 
2025-11-03T16:30:44.3406469Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:44.3406800Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:44.3407105Z     return mod(*inputs)
2025-11-03T16:30:44.3407348Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:44.3407628Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:44.3407895Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:44.3408164Z     h = x + self.attention.forward(
2025-11-03T16:30:44.3408476Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:44.3408774Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:44.3409090Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-11-03T16:30:44.3409405Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-11-03T16:30:44.3409773Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:44.3410114Z     return func(*args, **kwargs)
2025-11-03T16:30:44.3410228Z 
2025-11-03T16:30:44.3410336Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:44.3410667Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:44.3410974Z     return mod(*inputs)
2025-11-03T16:30:44.3411219Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:44.3411504Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:44.3411780Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:44.3412047Z     h = x + self.attention.forward(
2025-11-03T16:30:44.3412316Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:44.3412611Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:44.3412921Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-11-03T16:30:44.3413239Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-11-03T16:30:44.3413610Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:44.3413949Z     return func(*args, **kwargs)
2025-11-03T16:30:44.3414061Z 
2025-11-03T16:30:44.3414141Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3414342Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3414538Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3414760Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:44.3415099Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:44.3415402Z     return mod(*inputs)
2025-11-03T16:30:44.3415639Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:44.3415923Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:44.3416217Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:44.3416488Z     h = x + self.attention.forward(
2025-11-03T16:30:44.3416748Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:44.3417040Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:44.3417357Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-11-03T16:30:44.3417707Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-11-03T16:30:44.3418123Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:44.3418453Z     return func(*args, **kwargs)
2025-11-03T16:30:44.3418576Z 
2025-11-03T16:30:44.3418677Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:44.3419018Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:44.3419323Z     return mod(*inputs)
2025-11-03T16:30:44.3419563Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:44.3419847Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:44.3420136Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:44.3420414Z     h = x + self.attention.forward(
2025-11-03T16:30:44.3420682Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:44.3420997Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:44.3421312Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-11-03T16:30:44.3421661Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-11-03T16:30:44.3422053Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:44.3422385Z     return func(*args, **kwargs)
2025-11-03T16:30:44.3422507Z 
2025-11-03T16:30:44.3422606Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:44.3422945Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:44.3423249Z     return mod(*inputs)
2025-11-03T16:30:44.3423491Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:44.3423761Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:44.3424044Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:44.3424316Z     h = x + self.attention.forward(
2025-11-03T16:30:44.3424584Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:44.3424870Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:44.3425180Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-11-03T16:30:44.3425501Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-11-03T16:30:44.3425867Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:44.3426202Z     return func(*args, **kwargs)
2025-11-03T16:30:44.3426313Z 
2025-11-03T16:30:44.3426411Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:44.3426748Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:44.3427051Z     return mod(*inputs)
2025-11-03T16:30:44.3427297Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:44.3427566Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:44.3427839Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:44.3428108Z     h = x + self.attention.forward(
2025-11-03T16:30:44.3428372Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:44.3428686Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:44.3428987Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-11-03T16:30:44.3429307Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-11-03T16:30:44.3429670Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:44.3430009Z     return func(*args, **kwargs)
2025-11-03T16:30:44.3430138Z 
2025-11-03T16:30:44.3430238Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:44.3430578Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:44.3430886Z     return mod(*inputs)
2025-11-03T16:30:44.3431133Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:44.3431413Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:44.3431682Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:44.3431955Z     h = x + self.attention.forward(
2025-11-03T16:30:44.3432224Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:44.3432517Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:44.3432823Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-11-03T16:30:44.3433145Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-11-03T16:30:44.3433541Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:44.3433883Z     return func(*args, **kwargs)
2025-11-03T16:30:44.3433997Z 
2025-11-03T16:30:44.3434104Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:44.3434437Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:44.3434742Z     return mod(*inputs)
2025-11-03T16:30:44.3434991Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:44.3435274Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:44.3435543Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:44.3435820Z     h = x + self.attention.forward(
2025-11-03T16:30:44.3436087Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:44.3436386Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:44.3436696Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-11-03T16:30:44.3437019Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-11-03T16:30:44.3437389Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:44.3437731Z     return func(*args, **kwargs)
2025-11-03T16:30:44.3437844Z 
2025-11-03T16:30:44.3437926Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3438125Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3438334Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3438528Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3438722Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3438911Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3439105Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3439301Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3439499Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3439714Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:44.3440060Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:44.3440363Z     return mod(*inputs)
2025-11-03T16:30:44.3440609Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:44.3440883Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:44.3441174Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:44.3441447Z     h = x + self.attention.forward(
2025-11-03T16:30:44.3441785Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:44.3442123Z     return func(*args, **kwargs)
2025-11-03T16:30:44.3442236Z 
2025-11-03T16:30:44.3442308Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3442528Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3442727Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3442922Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3443136Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:44.3443473Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:44.3443777Z     return mod(*inputs)
2025-11-03T16:30:44.3444023Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:44.3444296Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:44.3444571Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 197, in forward
2025-11-03T16:30:44.3444876Z     out = h + self.feed_forward.forward(self.ffn_norm(h))
2025-11-03T16:30:44.3445173Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 170, in forward
2025-11-03T16:30:44.3445466Z     return self.w2(F.silu(self.w1(x)) * self.w3(x))
2025-11-03T16:30:44.3445848Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:44.3446192Z     return func(*args, **kwargs)
2025-11-03T16:30:44.3446313Z 
2025-11-03T16:30:44.3446387Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3446589Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3446776Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3446970Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3447168Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3447390Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:44.3447717Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:44.3448022Z     return mod(*inputs)
2025-11-03T16:30:44.3448264Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:44.3448546Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:44.3448823Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:44.3449087Z     h = x + self.attention.forward(
2025-11-03T16:30:44.3449357Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:44.3449649Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:44.3449960Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-11-03T16:30:44.3450298Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-11-03T16:30:44.3450703Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:44.3451045Z     return func(*args, **kwargs)
2025-11-03T16:30:44.3451157Z 
2025-11-03T16:30:44.3451261Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:44.3451593Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:44.3451887Z     return mod(*inputs)
2025-11-03T16:30:44.3452129Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:44.3452406Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:44.3452680Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:44.3452944Z     h = x + self.attention.forward(
2025-11-03T16:30:44.3453207Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:44.3453524Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:44.3453888Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-11-03T16:30:44.3454230Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-11-03T16:30:44.3454617Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:44.3454959Z     return func(*args, **kwargs)
2025-11-03T16:30:44.3455130Z 
2025-11-03T16:30:44.3455232Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:44.3455571Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:44.3455867Z     return mod(*inputs)
2025-11-03T16:30:44.3456117Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:44.3456401Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:44.3456681Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:44.3456961Z     h = x + self.attention.forward(
2025-11-03T16:30:44.3457226Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:44.3457528Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:44.3457847Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-11-03T16:30:44.3458177Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-11-03T16:30:44.3458591Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:44.3458932Z     return func(*args, **kwargs)
2025-11-03T16:30:44.3459052Z 
2025-11-03T16:30:44.3459149Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:44.3459494Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:44.3459799Z     return mod(*inputs)
2025-11-03T16:30:44.3460039Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:44.3460318Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:44.3460594Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:44.3460865Z     h = x + self.attention.forward(
2025-11-03T16:30:44.3461124Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:44.3461422Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:44.3461736Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-11-03T16:30:44.3462056Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-11-03T16:30:44.3462423Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:44.3462749Z     return func(*args, **kwargs)
2025-11-03T16:30:44.3462868Z 
2025-11-03T16:30:44.3462966Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:44.3463303Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:44.3463600Z     return mod(*inputs)
2025-11-03T16:30:44.3463839Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:44.3464120Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:44.3464397Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:44.3464676Z     h = x + self.attention.forward(
2025-11-03T16:30:44.3464937Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:44.3465230Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:44.3465539Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-11-03T16:30:44.3465862Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-11-03T16:30:44.3466253Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:44.3466583Z     return func(*args, **kwargs)
2025-11-03T16:30:44.3466704Z 
2025-11-03T16:30:44.3466802Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:44.3467146Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:44.3467448Z     return mod(*inputs)
2025-11-03T16:30:44.3467703Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:44.3467991Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:44.3468263Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:44.3468537Z     h = x + self.attention.forward(
2025-11-03T16:30:44.3468804Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:44.3469091Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:44.3469403Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-11-03T16:30:44.3469723Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-11-03T16:30:44.3470085Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:44.3470416Z     return func(*args, **kwargs)
2025-11-03T16:30:44.3470535Z 
2025-11-03T16:30:44.3470612Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3470847Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3471051Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3471278Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:44.3471611Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:44.3471916Z     return mod(*inputs)
2025-11-03T16:30:44.3472165Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:44.3472452Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:44.3472727Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:44.3473000Z     h = x + self.attention.forward(
2025-11-03T16:30:44.3473270Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:44.3473565Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:44.3473874Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-11-03T16:30:44.3474224Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-11-03T16:30:44.3474619Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:44.3474959Z     return func(*args, **kwargs)
2025-11-03T16:30:44.3475071Z 
2025-11-03T16:30:44.3475181Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:44.3475512Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:44.3475817Z     return mod(*inputs)
2025-11-03T16:30:44.3476062Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:44.3476339Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:44.3476607Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:44.3476877Z     h = x + self.attention.forward(
2025-11-03T16:30:44.3477152Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:44.3477448Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:44.3477764Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-11-03T16:30:44.3478097Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-11-03T16:30:44.3478489Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:44.3478839Z     return func(*args, **kwargs)
2025-11-03T16:30:44.3478952Z 
2025-11-03T16:30:44.3479061Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:44.3479396Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:44.3479688Z     return mod(*inputs)
2025-11-03T16:30:44.3479934Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:44.3480233Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:44.3480507Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:44.3480769Z     h = x + self.attention.forward(
2025-11-03T16:30:44.3481035Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:44.3481328Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:44.3481637Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-11-03T16:30:44.3481953Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-11-03T16:30:44.3482317Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:44.3482655Z     return func(*args, **kwargs)
2025-11-03T16:30:44.3482766Z 
2025-11-03T16:30:44.3482869Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:44.3483240Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:44.3483540Z     return mod(*inputs)
2025-11-03T16:30:44.3483788Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:44.3484067Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:44.3484346Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:44.3484609Z     h = x + self.attention.forward(
2025-11-03T16:30:44.3484881Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:44.3485179Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:44.3485497Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-11-03T16:30:44.3485817Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-11-03T16:30:44.3486180Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:44.3486524Z     return func(*args, **kwargs)
2025-11-03T16:30:44.3486645Z 
2025-11-03T16:30:44.3486746Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:44.3487086Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:44.3487382Z     return mod(*inputs)
2025-11-03T16:30:44.3487628Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:44.3487910Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:44.3488190Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:44.3488464Z     h = x + self.attention.forward(
2025-11-03T16:30:44.3488725Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:44.3489024Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:44.3489337Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-11-03T16:30:44.3489662Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-11-03T16:30:44.3490024Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:44.3490362Z     return func(*args, **kwargs)
2025-11-03T16:30:44.3490481Z 
2025-11-03T16:30:44.3490579Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:44.3490918Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:44.3491236Z     return mod(*inputs)
2025-11-03T16:30:44.3491471Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:44.3491750Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:44.3492024Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:44.3492297Z     h = x + self.attention.forward(
2025-11-03T16:30:44.3492556Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:44.3492865Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:44.3493178Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-11-03T16:30:44.3493499Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-11-03T16:30:44.3493860Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:44.3494198Z     return func(*args, **kwargs)
2025-11-03T16:30:44.3494317Z 
2025-11-03T16:30:44.3494394Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3494594Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3494794Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3494981Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3495176Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3495499Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3495696Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3495923Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3496125Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3496323Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3496524Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3496715Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3496917Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3497141Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:44.3497481Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:44.3497786Z     return mod(*inputs)
2025-11-03T16:30:44.3498025Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:44.3498305Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:44.3498586Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 197, in forward
2025-11-03T16:30:44.3498892Z     out = h + self.feed_forward.forward(self.ffn_norm(h))
2025-11-03T16:30:44.3499180Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 170, in forward
2025-11-03T16:30:44.3499471Z     return self.w2(F.silu(self.w1(x)) * self.w3(x))
2025-11-03T16:30:44.3499829Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:44.3500163Z     return func(*args, **kwargs)
2025-11-03T16:30:44.3500274Z 
2025-11-03T16:30:44.3500347Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3500548Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3500746Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3500943Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3501137Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3501350Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:44.3501691Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:44.3501999Z     return mod(*inputs)
2025-11-03T16:30:44.3502244Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:44.3502513Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:44.3502786Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:44.3503060Z     h = x + self.attention.forward(
2025-11-03T16:30:44.3503325Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:44.3503651Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:44.3503966Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-11-03T16:30:44.3504311Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-11-03T16:30:44.3504702Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:44.3505038Z     return func(*args, **kwargs)
2025-11-03T16:30:44.3505172Z 
2025-11-03T16:30:44.3505271Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:44.3505611Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:44.3505920Z     return mod(*inputs)
2025-11-03T16:30:44.3506169Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:44.3506444Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:44.3506725Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:44.3507002Z     h = x + self.attention.forward(
2025-11-03T16:30:44.3507270Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:44.3507570Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:44.3507878Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-11-03T16:30:44.3508260Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-11-03T16:30:44.3508652Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:44.3508989Z     return func(*args, **kwargs)
2025-11-03T16:30:44.3509102Z 
2025-11-03T16:30:44.3509200Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:44.3509538Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:44.3509843Z     return mod(*inputs)
2025-11-03T16:30:44.3510089Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:44.3510371Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:44.3510638Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:44.3510912Z     h = x + self.attention.forward(
2025-11-03T16:30:44.3511184Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:44.3511485Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:44.3511791Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-11-03T16:30:44.3512113Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-11-03T16:30:44.3512483Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:44.3512823Z     return func(*args, **kwargs)
2025-11-03T16:30:44.3512937Z 
2025-11-03T16:30:44.3513041Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:44.3513378Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:44.3513680Z     return mod(*inputs)
2025-11-03T16:30:44.3513922Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:44.3514202Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:44.3514476Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:44.3514751Z     h = x + self.attention.forward(
2025-11-03T16:30:44.3515017Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:44.3515313Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:44.3515615Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-11-03T16:30:44.3515938Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-11-03T16:30:44.3516324Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:44.3516659Z     return func(*args, **kwargs)
2025-11-03T16:30:44.3516769Z 
2025-11-03T16:30:44.3516874Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:44.3517204Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:44.3517510Z     return mod(*inputs)
2025-11-03T16:30:44.3517783Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:44.3518069Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:44.3518347Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:44.3518625Z     h = x + self.attention.forward(
2025-11-03T16:30:44.3518897Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:44.3519199Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:44.3519519Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-11-03T16:30:44.3519837Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-11-03T16:30:44.3520210Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:44.3520556Z     return func(*args, **kwargs)
2025-11-03T16:30:44.3520670Z 
2025-11-03T16:30:44.3520808Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:44.3521146Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:44.3521440Z     return mod(*inputs)
2025-11-03T16:30:44.3521682Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:44.3521963Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:44.3522237Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:44.3522504Z     h = x + self.attention.forward(
2025-11-03T16:30:44.3522771Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:44.3523064Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:44.3523380Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-11-03T16:30:44.3523693Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-11-03T16:30:44.3524063Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:44.3524404Z     return func(*args, **kwargs)
2025-11-03T16:30:44.3524514Z 
2025-11-03T16:30:44.3524596Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3524798Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3524991Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3525224Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:44.3525567Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:44.3525871Z     return mod(*inputs)
2025-11-03T16:30:44.3526110Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:44.3526389Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:44.3526667Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:44.3526938Z     h = x + self.attention.forward(
2025-11-03T16:30:44.3527201Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:44.3527496Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:44.3527811Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-11-03T16:30:44.3528160Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-11-03T16:30:44.3528555Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:44.3528903Z     return func(*args, **kwargs)
2025-11-03T16:30:44.3529024Z 
2025-11-03T16:30:44.3529122Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:44.3529459Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:44.3529768Z     return mod(*inputs)
2025-11-03T16:30:44.3530012Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:44.3530304Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:44.3530579Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:44.3530853Z     h = x + self.attention.forward(
2025-11-03T16:30:44.3531117Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:44.3531401Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:44.3531709Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-11-03T16:30:44.3532047Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-11-03T16:30:44.3532439Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:44.3532764Z     return func(*args, **kwargs)
2025-11-03T16:30:44.3532885Z 
2025-11-03T16:30:44.3532985Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:44.3533359Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:44.3533663Z     return mod(*inputs)
2025-11-03T16:30:44.3533908Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:44.3534180Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:44.3534459Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:44.3534733Z     h = x + self.attention.forward(
2025-11-03T16:30:44.3535003Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:44.3535289Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:44.3535602Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-11-03T16:30:44.3535928Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-11-03T16:30:44.3536301Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:44.3536640Z     return func(*args, **kwargs)
2025-11-03T16:30:44.3536752Z 
2025-11-03T16:30:44.3536851Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:44.3537194Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:44.3537502Z     return mod(*inputs)
2025-11-03T16:30:44.3537748Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:44.3538023Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:44.3538299Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:44.3538572Z     h = x + self.attention.forward(
2025-11-03T16:30:44.3538843Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:44.3539138Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:44.3539451Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-11-03T16:30:44.3539780Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-11-03T16:30:44.3540145Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:44.3540484Z     return func(*args, **kwargs)
2025-11-03T16:30:44.3540596Z 
2025-11-03T16:30:44.3540694Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:44.3541033Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:44.3541358Z     return mod(*inputs)
2025-11-03T16:30:44.3541604Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:44.3541879Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:44.3542147Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:44.3542412Z     h = x + self.attention.forward(
2025-11-03T16:30:44.3558386Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:44.3558793Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:44.3559139Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-11-03T16:30:44.3559481Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-11-03T16:30:44.3559873Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:44.3560240Z     return func(*args, **kwargs)
2025-11-03T16:30:44.3560368Z 
2025-11-03T16:30:44.3560476Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:44.3560832Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:44.3561151Z     return mod(*inputs)
2025-11-03T16:30:44.3561406Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:44.3561702Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:44.3562132Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:44.3562427Z     h = x + self.attention.forward(
2025-11-03T16:30:44.3562698Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:44.3563008Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:44.3563334Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-11-03T16:30:44.3563663Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-11-03T16:30:44.3564039Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:44.3564392Z     return func(*args, **kwargs)
2025-11-03T16:30:44.3564516Z 
2025-11-03T16:30:44.3564594Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3564804Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3565007Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3565205Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3565401Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3565597Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3565790Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3565979Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3566175Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3566400Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:44.3566746Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:44.3567049Z     return mod(*inputs)
2025-11-03T16:30:44.3567307Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:44.3567591Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:44.3567866Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:44.3568140Z     h = x + self.attention.forward(
2025-11-03T16:30:44.3568492Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:44.3568842Z     return func(*args, **kwargs)
2025-11-03T16:30:44.3568957Z 
2025-11-03T16:30:44.3569040Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3569243Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3569433Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3569629Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3569893Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:44.3570239Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:44.3570541Z     return mod(*inputs)
2025-11-03T16:30:44.3570791Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:44.3571074Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:44.3571354Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 197, in forward
2025-11-03T16:30:44.3571704Z     out = h + self.feed_forward.forward(self.ffn_norm(h))
2025-11-03T16:30:44.3572006Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 170, in forward
2025-11-03T16:30:44.3572301Z     return self.w2(F.silu(self.w1(x)) * self.w3(x))
2025-11-03T16:30:44.3572668Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:44.3573017Z     return func(*args, **kwargs)
2025-11-03T16:30:44.3573133Z 
2025-11-03T16:30:44.3573207Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3573412Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3573610Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3573808Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3573998Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3574227Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:44.3574928Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:44.3575243Z     return mod(*inputs)
2025-11-03T16:30:44.3575489Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:44.3575773Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:44.3576053Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:44.3576332Z     h = x + self.attention.forward(
2025-11-03T16:30:44.3576608Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:44.3576905Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:44.3577228Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-11-03T16:30:44.3577585Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-11-03T16:30:44.3577991Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:44.3578326Z     return func(*args, **kwargs)
2025-11-03T16:30:44.3578445Z 
2025-11-03T16:30:44.3578545Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:44.3578888Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:44.3579197Z     return mod(*inputs)
2025-11-03T16:30:44.3579443Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:44.3579721Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:44.3579999Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:44.3580275Z     h = x + self.attention.forward(
2025-11-03T16:30:44.3580545Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:44.3580838Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:44.3581157Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-11-03T16:30:44.3581508Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-11-03T16:30:44.3581904Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:44.3582251Z     return func(*args, **kwargs)
2025-11-03T16:30:44.3582363Z 
2025-11-03T16:30:44.3582462Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:44.3582825Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:44.3583134Z     return mod(*inputs)
2025-11-03T16:30:44.3583385Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:44.3583662Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:44.3583944Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:44.3584217Z     h = x + self.attention.forward(
2025-11-03T16:30:44.3584510Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:44.3584813Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:44.3585123Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-11-03T16:30:44.3585450Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-11-03T16:30:44.3585673Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:44.3585742Z     return func(*args, **kwargs)
2025-11-03T16:30:44.3585746Z 
2025-11-03T16:30:44.3585845Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:44.3586042Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:44.3586103Z     return mod(*inputs)
2025-11-03T16:30:44.3586259Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:44.3586367Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:44.3586514Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:44.3586595Z     h = x + self.attention.forward(
2025-11-03T16:30:44.3586740Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:44.3586843Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:44.3587006Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-11-03T16:30:44.3587106Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-11-03T16:30:44.3587332Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:44.3587398Z     return func(*args, **kwargs)
2025-11-03T16:30:44.3587400Z 
2025-11-03T16:30:44.3587505Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:44.3587694Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:44.3587757Z     return mod(*inputs)
2025-11-03T16:30:44.3587907Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:44.3587983Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:44.3588131Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:44.3588202Z     h = x + self.attention.forward(
2025-11-03T16:30:44.3588345Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:44.3588446Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:44.3588610Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-11-03T16:30:44.3588715Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-11-03T16:30:44.3588929Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:44.3589005Z     return func(*args, **kwargs)
2025-11-03T16:30:44.3589008Z 
2025-11-03T16:30:44.3589107Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:44.3589298Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:44.3589370Z     return mod(*inputs)
2025-11-03T16:30:44.3589513Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:44.3589596Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:44.3589763Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:44.3589831Z     h = x + self.attention.forward(
2025-11-03T16:30:44.3589985Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:44.3590077Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:44.3590248Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-11-03T16:30:44.3590363Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-11-03T16:30:44.3590577Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:44.3590649Z     return func(*args, **kwargs)
2025-11-03T16:30:44.3590652Z 
2025-11-03T16:30:44.3590725Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3590806Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3590880Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3590981Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:44.3591177Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:44.3591238Z     return mod(*inputs)
2025-11-03T16:30:44.3591392Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:44.3591466Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:44.3591632Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:44.3591712Z     h = x + self.attention.forward(
2025-11-03T16:30:44.3591854Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:44.3591958Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:44.3592123Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-11-03T16:30:44.3592246Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-11-03T16:30:44.3592474Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:44.3592539Z     return func(*args, **kwargs)
2025-11-03T16:30:44.3592542Z 
2025-11-03T16:30:44.3592647Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:44.3592832Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:44.3592901Z     return mod(*inputs)
2025-11-03T16:30:44.3593048Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:44.3593122Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:44.3593277Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:44.3593347Z     h = x + self.attention.forward(
2025-11-03T16:30:44.3593495Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:44.3593588Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:44.3593756Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-11-03T16:30:44.3593883Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-11-03T16:30:44.3594099Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:44.3594174Z     return func(*args, **kwargs)
2025-11-03T16:30:44.3594178Z 
2025-11-03T16:30:44.3594278Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:44.3594464Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:44.3594532Z     return mod(*inputs)
2025-11-03T16:30:44.3594675Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:44.3594755Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:44.3594896Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:44.3594981Z     h = x + self.attention.forward(
2025-11-03T16:30:44.3595129Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:44.3595219Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:44.3595391Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-11-03T16:30:44.3595488Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-11-03T16:30:44.3595727Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:44.3595793Z     return func(*args, **kwargs)
2025-11-03T16:30:44.3595796Z 
2025-11-03T16:30:44.3595894Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:44.3596086Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:44.3596147Z     return mod(*inputs)
2025-11-03T16:30:44.3596298Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:44.3596373Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:44.3596515Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:44.3596592Z     h = x + self.attention.forward(
2025-11-03T16:30:44.3596735Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:44.3596834Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:44.3597036Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-11-03T16:30:44.3597135Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-11-03T16:30:44.3597359Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:44.3597424Z     return func(*args, **kwargs)
2025-11-03T16:30:44.3597427Z 
2025-11-03T16:30:44.3597531Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:44.3597716Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:44.3597775Z     return mod(*inputs)
2025-11-03T16:30:44.3597927Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:44.3598003Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:44.3598153Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:44.3598227Z     h = x + self.attention.forward(
2025-11-03T16:30:44.3598379Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:44.3598471Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:44.3598635Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-11-03T16:30:44.3598742Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-11-03T16:30:44.3598957Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:44.3599032Z     return func(*args, **kwargs)
2025-11-03T16:30:44.3599035Z 
2025-11-03T16:30:44.3599130Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:44.3599320Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:44.3599381Z     return mod(*inputs)
2025-11-03T16:30:44.3599529Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:44.3599611Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:44.3599752Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:44.3599827Z     h = x + self.attention.forward(
2025-11-03T16:30:44.3599969Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:44.3600059Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:44.3600249Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-11-03T16:30:44.3600346Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-11-03T16:30:44.3600569Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:44.3600635Z     return func(*args, **kwargs)
2025-11-03T16:30:44.3600638Z 
2025-11-03T16:30:44.3600713Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3600819Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3600893Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3600975Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3601047Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3601118Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3601198Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3601267Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3601345Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3601419Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3601489Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3601570Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3601642Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3601750Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:44.3601937Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:44.3602028Z     return mod(*inputs)
2025-11-03T16:30:44.3602185Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:44.3602259Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:44.3602412Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 197, in forward
2025-11-03T16:30:44.3602512Z     out = h + self.feed_forward.forward(self.ffn_norm(h))
2025-11-03T16:30:44.3602656Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 170, in forward
2025-11-03T16:30:44.3602756Z     return self.w2(F.silu(self.w1(x)) * self.w3(x))
2025-11-03T16:30:44.3602968Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:44.3603043Z     return func(*args, **kwargs)
2025-11-03T16:30:44.3603046Z 
2025-11-03T16:30:44.3603118Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3603190Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3603270Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3603343Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3603423Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3603519Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:44.3603705Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:44.3603776Z     return mod(*inputs)
2025-11-03T16:30:44.3603920Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:44.3604002Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:44.3604145Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:44.3604217Z     h = x + self.attention.forward(
2025-11-03T16:30:44.3604369Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:44.3604461Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:44.3604638Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-11-03T16:30:44.3604760Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-11-03T16:30:44.3604974Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:44.3605048Z     return func(*args, **kwargs)
2025-11-03T16:30:44.3605051Z 
2025-11-03T16:30:44.3605147Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:44.3605358Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:44.3605420Z     return mod(*inputs)
2025-11-03T16:30:44.3605569Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:44.3605642Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:44.3605786Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:44.3605866Z     h = x + self.attention.forward(
2025-11-03T16:30:44.3606029Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:44.3606128Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:44.3606292Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-11-03T16:30:44.3606414Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-11-03T16:30:44.3606638Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:44.3606705Z     return func(*args, **kwargs)
2025-11-03T16:30:44.3606708Z 
2025-11-03T16:30:44.3606810Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:44.3606995Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:44.3607054Z     return mod(*inputs)
2025-11-03T16:30:44.3607204Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:44.3607308Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:44.3607457Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:44.3607527Z     h = x + self.attention.forward(
2025-11-03T16:30:44.3607671Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:44.3607769Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:44.3607933Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-11-03T16:30:44.3608036Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-11-03T16:30:44.3608251Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:44.3608315Z     return func(*args, **kwargs)
2025-11-03T16:30:44.3608327Z 
2025-11-03T16:30:44.3608422Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:44.3608614Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:44.3608683Z     return mod(*inputs)
2025-11-03T16:30:44.3608828Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:44.3608910Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:44.3609053Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:44.3609121Z     h = x + self.attention.forward(
2025-11-03T16:30:44.3609277Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:44.3609369Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:44.3609543Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-11-03T16:30:44.3609640Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-11-03T16:30:44.3609857Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:44.3609937Z     return func(*args, **kwargs)
2025-11-03T16:30:44.3609940Z 
2025-11-03T16:30:44.3610038Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:44.3610232Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:44.3610293Z     return mod(*inputs)
2025-11-03T16:30:44.3610433Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:44.3610535Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:44.3610678Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:44.3610755Z     h = x + self.attention.forward(
2025-11-03T16:30:44.3610895Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:44.3610986Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:44.3611159Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-11-03T16:30:44.3611272Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-11-03T16:30:44.3611493Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:44.3611559Z     return func(*args, **kwargs)
2025-11-03T16:30:44.3611562Z 
2025-11-03T16:30:44.3611665Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:44.3611854Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:44.3611917Z     return mod(*inputs)
2025-11-03T16:30:44.3612073Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:44.3612148Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:44.3612298Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:44.3612369Z     h = x + self.attention.forward(
2025-11-03T16:30:44.3612541Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:44.3612644Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:44.3612808Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-11-03T16:30:44.3612913Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-11-03T16:30:44.3613128Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:44.3613195Z     return func(*args, **kwargs)
2025-11-03T16:30:44.3613198Z 
2025-11-03T16:30:44.3613284Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3613358Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3613439Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3613535Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:44.3613719Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:44.3613791Z     return mod(*inputs)
2025-11-03T16:30:44.3613936Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:44.3614015Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:44.3614160Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:44.3614231Z     h = x + self.attention.forward(
2025-11-03T16:30:44.3614381Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:44.3614473Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:44.3614644Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-11-03T16:30:44.3614766Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-11-03T16:30:44.3614979Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:44.3615053Z     return func(*args, **kwargs)
2025-11-03T16:30:44.3615058Z 
2025-11-03T16:30:44.3615157Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:44.3615349Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:44.3615409Z     return mod(*inputs)
2025-11-03T16:30:44.3615558Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:44.3615633Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:44.3615778Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:44.3615871Z     h = x + self.attention.forward(
2025-11-03T16:30:44.3616013Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:44.3616112Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:44.3616277Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-11-03T16:30:44.3616397Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-11-03T16:30:44.3616650Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:44.3616718Z     return func(*args, **kwargs)
2025-11-03T16:30:44.3616721Z 
2025-11-03T16:30:44.3616824Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:44.3617014Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:44.3617075Z     return mod(*inputs)
2025-11-03T16:30:44.3617227Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:44.3617302Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:44.3617453Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:44.3617522Z     h = x + self.attention.forward(
2025-11-03T16:30:44.3617666Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:44.3617802Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:44.3617967Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-11-03T16:30:44.3618069Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-11-03T16:30:44.3618282Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:44.3618344Z     return func(*args, **kwargs)
2025-11-03T16:30:44.3618353Z 
2025-11-03T16:30:44.3618451Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:44.3618636Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:44.3618703Z     return mod(*inputs)
2025-11-03T16:30:44.3618844Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:44.3618924Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:44.3619066Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:44.3619135Z     h = x + self.attention.forward(
2025-11-03T16:30:44.3619280Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:44.3619368Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:44.3619536Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-11-03T16:30:44.3619629Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-11-03T16:30:44.3619844Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:44.3619916Z     return func(*args, **kwargs)
2025-11-03T16:30:44.3619918Z 
2025-11-03T16:30:44.3620013Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:44.3620203Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:44.3620264Z     return mod(*inputs)
2025-11-03T16:30:44.3620408Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:44.3620489Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:44.3620631Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:44.3620707Z     h = x + self.attention.forward(
2025-11-03T16:30:44.3620846Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:44.3620935Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:44.3621126Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-11-03T16:30:44.3621222Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-11-03T16:30:44.3621442Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:44.3621508Z     return func(*args, **kwargs)
2025-11-03T16:30:44.3621511Z 
2025-11-03T16:30:44.3621618Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:44.3621823Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:44.3621884Z     return mod(*inputs)
2025-11-03T16:30:44.3622034Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:44.3622110Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:44.3622259Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:44.3622330Z     h = x + self.attention.forward(
2025-11-03T16:30:44.3622474Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-11-03T16:30:44.3622573Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-11-03T16:30:44.3622738Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-11-03T16:30:44.3622841Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-11-03T16:30:44.3623080Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:44.3623148Z     return func(*args, **kwargs)
2025-11-03T16:30:44.3623151Z 
2025-11-03T16:30:44.3623233Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3623307Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3623390Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3623463Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3623535Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3623615Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3623687Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3623767Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3623839Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3623937Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:44.3624129Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:44.3624195Z     return mod(*inputs)
2025-11-03T16:30:44.3624349Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:44.3624423Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:44.3624565Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-11-03T16:30:44.3624643Z     h = x + self.attention.forward(
2025-11-03T16:30:44.3624854Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:44.3624927Z     return func(*args, **kwargs)
2025-11-03T16:30:44.3624930Z 
2025-11-03T16:30:44.3625000Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3625071Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3625149Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3625223Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3625326Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:44.3625512Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:44.3625574Z     return mod(*inputs)
2025-11-03T16:30:44.3625728Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-11-03T16:30:44.3625800Z     h = layer(h, start_pos, freqs_cis, mask)
2025-11-03T16:30:44.3625951Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 197, in forward
2025-11-03T16:30:44.3626049Z     out = h + self.feed_forward.forward(self.ffn_norm(h))
2025-11-03T16:30:44.3626203Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 170, in forward
2025-11-03T16:30:44.3626300Z     return self.w2(F.silu(self.w1(x)) * self.w3(x))
2025-11-03T16:30:44.3626517Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:44.3626591Z     return func(*args, **kwargs)
2025-11-03T16:30:44.3626594Z 
2025-11-03T16:30:44.3626666Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3626766Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3626839Z cudagraph partition due to non gpu ops
2025-11-03T16:30:44.3626935Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:44.3627128Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:44.3627190Z     return mod(*inputs)
2025-11-03T16:30:44.3627341Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 244, in forward
2025-11-03T16:30:44.3627460Z     output = self.output(h[:, -1, :])  # only compute last logits
2025-11-03T16:30:44.3627674Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:44.3627750Z     return func(*args, **kwargs)
2025-11-03T16:30:44.3627753Z 
2025-11-03T16:30:44.3627848Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:44.3628037Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:44.3628128Z     return mod(*inputs)
2025-11-03T16:30:44.3628274Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 244, in forward
2025-11-03T16:30:44.3628398Z     output = self.output(h[:, -1, :])  # only compute last logits
2025-11-03T16:30:44.3628615Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:44.3628687Z     return func(*args, **kwargs)
2025-11-03T16:30:44.3628691Z 
2025-11-03T16:30:44.3628788Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:44.3628970Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:44.3629039Z     return mod(*inputs)
2025-11-03T16:30:44.3629183Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 244, in forward
2025-11-03T16:30:44.3629299Z     output = self.output(h[:, -1, :])  # only compute last logits
2025-11-03T16:30:44.3629515Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:44.3629592Z     return func(*args, **kwargs)
2025-11-03T16:30:44.3629594Z 
2025-11-03T16:30:44.3629691Z cudagraph partition due to non gpu ops. Found from : 
2025-11-03T16:30:44.3629876Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 460, in forward_pass
2025-11-03T16:30:44.3629944Z     return mod(*inputs)
2025-11-03T16:30:44.3630086Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 245, in forward
2025-11-03T16:30:44.3630165Z     return output.float()
2025-11-03T16:30:44.3630374Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 110, in __torch_function__
2025-11-03T16:30:44.3630438Z     return func(*args, **kwargs)
2025-11-03T16:30:44.3630441Z 
2025-11-03T16:30:46.1891345Z 
2025-11-03T16:30:46.3085713Z running benchmark:   0% 0/50 [00:00<?, ?it/s]
2025-11-03T16:30:46.4253296Z running benchmark:   8% 4/50 [00:00<00:01, 33.34it/s]
2025-11-03T16:30:46.5405251Z running benchmark:  16% 8/50 [00:00<00:01, 33.86it/s]
2025-11-03T16:30:46.6555839Z running benchmark:  24% 12/50 [00:00<00:01, 34.25it/s]
2025-11-03T16:30:46.7705153Z running benchmark:  32% 16/50 [00:00<00:00, 34.45it/s]
2025-11-03T16:30:46.8857490Z running benchmark:  40% 20/50 [00:00<00:00, 34.58it/s]
2025-11-03T16:30:47.0008314Z running benchmark:  48% 24/50 [00:00<00:00, 34.62it/s]
2025-11-03T16:30:47.1156700Z running benchmark:  56% 28/50 [00:00<00:00, 34.67it/s]
2025-11-03T16:30:47.2513615Z running benchmark:  64% 32/50 [00:00<00:00, 34.72it/s]
2025-11-03T16:30:47.3682274Z running benchmark:  72% 36/50 [00:01<00:00, 32.89it/s]
2025-11-03T16:30:47.4828409Z running benchmark:  80% 40/50 [00:01<00:00, 33.29it/s]
2025-11-03T16:30:47.5965218Z running benchmark:  88% 44/50 [00:01<00:00, 33.77it/s]
2025-11-03T16:30:47.6537172Z running benchmark:  96% 48/50 [00:01<00:00, 34.19it/s]
2025-11-03T16:30:47.6537650Z running benchmark: 100% 50/50 [00:01<00:00, 34.12it/s]
2025-11-03T16:30:47.6747840Z 2.301x
2025-11-03T16:30:47.6748309Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:30:48.6821717Z + cat /var/lib/jenkins/workspace/test/test-reports/inductor_inference_llama_inductor_amp_static_cpu_smoketest.csv
2025-11-03T16:30:48.6835578Z dev,name,batch_size,speedup,abs_latency,compilation_latency,compression_ratio,eager_peak_mem,dynamo_peak_mem,calls_captured,unique_graphs,graph_breaks,unique_graph_breaks,autograd_captures,autograd_compiles,cudagraph_skips
2025-11-03T16:30:48.6836273Z cpu,llama,32,2.300652,8.457824,27.169887,0.983776,780.238438,793.106022,1062,2,0,0,0,0,2
2025-11-03T16:30:48.6836904Z + python benchmarks/dynamo/check_perf_csv.py -f /var/lib/jenkins/workspace/test/test-reports/inductor_inference_llama_inductor_amp_static_cpu_smoketest.csv -t 1.33157028 -s 0.99
2025-11-03T16:30:48.9319351Z llama                              2.300652
2025-11-03T16:30:48.9703195Z + IFS=,
2025-11-03T16:30:48.9703452Z + read -r -a model_cfg
2025-11-03T16:30:48.9703936Z + local model_name=mnasnet1_0
2025-11-03T16:30:48.9704168Z + local data_type=amp
2025-11-03T16:30:48.9704377Z + local speedup_target=2.1296814
2025-11-03T16:30:48.9704608Z + local backend=inductor
2025-11-03T16:30:48.9704801Z + [[ cpp == \c\p\p ]]
2025-11-03T16:30:48.9705008Z + export TORCHINDUCTOR_CPP_WRAPPER=1
2025-11-03T16:30:48.9705249Z + TORCHINDUCTOR_CPP_WRAPPER=1
2025-11-03T16:30:48.9705741Z + local output_name=/var/lib/jenkins/workspace/test/test-reports/inductor_inference_mnasnet1_0_inductor_amp_static_cpu_smoketest.csv
2025-11-03T16:30:48.9706225Z + [[ static == \d\y\n\a\m\i\c ]]
2025-11-03T16:30:48.9707046Z + taskset -c 0-93 python benchmarks/dynamo/torchbench.py --inference --performance --amp -dcpu -n50 --only mnasnet1_0 --freezing --timeout 9000 --inductor --output /var/lib/jenkins/workspace/test/test-reports/inductor_inference_mnasnet1_0_inductor_amp_static_cpu_smoketest.csv
2025-11-03T16:30:49.2415364Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-11-03T16:30:49.2416796Z   import pynvml  # type: ignore[import]
2025-11-03T16:30:50.9543614Z 
2025-11-03T16:30:51.1000199Z loading model: 0it [00:00, ?it/s]Downloading: "https://download.pytorch.org/models/mnasnet1.0_top1_73.512-f206786ef8.pth" to /var/lib/jenkins/.cache/torch/hub/checkpoints/mnasnet1.0_top1_73.512-f206786ef8.pth
2025-11-03T16:30:51.1137199Z 
2025-11-03T16:30:51.1137204Z 
2025-11-03T16:30:51.1477842Z   0% 0.00/16.9M [00:00<?, ?B/s]
2025-11-03T16:30:51.1478154Z 100% 16.9M/16.9M [00:00<00:00, 527MB/s]
2025-11-03T16:30:51.3858717Z 
2025-11-03T16:30:51.3859179Z loading model: 0it [00:00, ?it/s]
2025-11-03T16:30:51.3859497Z cpu  eval  mnasnet1_0                         
2025-11-03T16:30:53.0432673Z skipping cudagraphs due to cpp wrapper enabled
2025-11-03T16:31:04.8973472Z 
2025-11-03T16:31:04.9981166Z running benchmark:   0% 0/50 [00:00<?, ?it/s]
2025-11-03T16:31:05.1222085Z running benchmark:   8% 4/50 [00:00<00:01, 39.78it/s]
2025-11-03T16:31:05.2676890Z running benchmark:  18% 9/50 [00:00<00:01, 40.09it/s]
2025-11-03T16:31:05.3690524Z running benchmark:  28% 14/50 [00:00<00:00, 37.14it/s]
2025-11-03T16:31:05.4696368Z running benchmark:  36% 18/50 [00:00<00:00, 37.93it/s]
2025-11-03T16:31:05.5701463Z running benchmark:  44% 22/50 [00:00<00:00, 38.52it/s]
2025-11-03T16:31:05.6712556Z running benchmark:  52% 26/50 [00:00<00:00, 38.93it/s]
2025-11-03T16:31:05.7722117Z running benchmark:  60% 30/50 [00:00<00:00, 39.13it/s]
2025-11-03T16:31:05.8732313Z running benchmark:  68% 34/50 [00:00<00:00, 39.28it/s]
2025-11-03T16:31:05.9739035Z running benchmark:  76% 38/50 [00:00<00:00, 39.38it/s]
2025-11-03T16:31:06.0750588Z running benchmark:  84% 42/50 [00:01<00:00, 39.48it/s]
2025-11-03T16:31:06.1758628Z running benchmark:  92% 46/50 [00:01<00:00, 39.50it/s]
2025-11-03T16:31:06.1759706Z running benchmark: 100% 50/50 [00:01<00:00, 39.56it/s]
2025-11-03T16:31:06.1760193Z running benchmark: 100% 50/50 [00:01<00:00, 39.11it/s]
2025-11-03T16:31:06.1985943Z 3.949x
2025-11-03T16:31:06.1986302Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:31:07.0716931Z + cat /var/lib/jenkins/workspace/test/test-reports/inductor_inference_mnasnet1_0_inductor_amp_static_cpu_smoketest.csv
2025-11-03T16:31:07.0731079Z dev,name,batch_size,speedup,abs_latency,compilation_latency,compression_ratio,eager_peak_mem,dynamo_peak_mem,calls_captured,unique_graphs,graph_breaks,unique_graph_breaks,autograd_captures,autograd_compiles,cudagraph_skips
2025-11-03T16:31:07.0731727Z cpu,mnasnet1_0,32,3.948960,4.896986,12.742923,0.940804,135.957299,144.511795,154,1,0,0,0,0,1
2025-11-03T16:31:07.0732632Z + python benchmarks/dynamo/check_perf_csv.py -f /var/lib/jenkins/workspace/test/test-reports/inductor_inference_mnasnet1_0_inductor_amp_static_cpu_smoketest.csv -t 2.1296814 -s 0.99
2025-11-03T16:31:07.3219411Z mnasnet1_0                         3.94896
2025-11-03T16:31:07.3604682Z + IFS=,
2025-11-03T16:31:07.3604919Z + read -r -a model_cfg
2025-11-03T16:31:07.3605132Z + local model_name=densenet121
2025-11-03T16:31:07.3605352Z + local data_type=amp
2025-11-03T16:31:07.3605567Z + local speedup_target=1.25591385
2025-11-03T16:31:07.3605806Z + local backend=export-aot-inductor
2025-11-03T16:31:07.3606041Z + [[ default == \c\p\p ]]
2025-11-03T16:31:07.3606279Z + unset TORCHINDUCTOR_CPP_WRAPPER
2025-11-03T16:31:07.3606842Z + local output_name=/var/lib/jenkins/workspace/test/test-reports/inductor_inference_densenet121_export-aot-inductor_amp_static_cpu_smoketest.csv
2025-11-03T16:31:07.3607370Z + [[ static == \d\y\n\a\m\i\c ]]
2025-11-03T16:31:07.3608304Z + taskset -c 0-93 python benchmarks/dynamo/torchbench.py --inference --performance --amp -dcpu -n50 --only densenet121 --freezing --timeout 9000 --export-aot-inductor --output /var/lib/jenkins/workspace/test/test-reports/inductor_inference_densenet121_export-aot-inductor_amp_static_cpu_smoketest.csv
2025-11-03T16:31:07.6134067Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-11-03T16:31:07.6135602Z   import pynvml  # type: ignore[import]
2025-11-03T16:31:09.3261090Z 
2025-11-03T16:31:09.5001670Z loading model: 0it [00:00, ?it/s]Downloading: "https://download.pytorch.org/models/densenet121-a639ec97.pth" to /var/lib/jenkins/.cache/torch/hub/checkpoints/densenet121-a639ec97.pth
2025-11-03T16:31:09.5168702Z 
2025-11-03T16:31:09.5168764Z 
2025-11-03T16:31:09.5934117Z   0% 0.00/30.8M [00:00<?, ?B/s]
2025-11-03T16:31:09.5934427Z 100% 30.8M/30.8M [00:00<00:00, 422MB/s]
2025-11-03T16:31:10.1550877Z 
2025-11-03T16:31:10.1551351Z loading model: 0it [00:00, ?it/s]
2025-11-03T16:31:10.1551715Z cpu  eval  densenet121                        
2025-11-03T16:31:13.2232190Z skipping cudagraphs due to cpp wrapper enabled
2025-11-03T16:31:36.9867914Z 
2025-11-03T16:31:37.1835491Z running benchmark:   0% 0/50 [00:00<?, ?it/s]
2025-11-03T16:31:37.3344381Z running benchmark:   2% 1/50 [00:00<00:09,  5.07it/s]
2025-11-03T16:31:37.4894341Z running benchmark:   4% 2/50 [00:00<00:08,  5.88it/s]
2025-11-03T16:31:37.6394661Z running benchmark:   6% 3/50 [00:00<00:07,  6.13it/s]
2025-11-03T16:31:37.7904914Z running benchmark:   8% 4/50 [00:00<00:07,  6.33it/s]
2025-11-03T16:31:37.9423665Z running benchmark:  10% 5/50 [00:00<00:06,  6.43it/s]
2025-11-03T16:31:38.1082213Z running benchmark:  12% 6/50 [00:00<00:06,  6.48it/s]
2025-11-03T16:31:38.2588473Z running benchmark:  14% 7/50 [00:01<00:06,  6.33it/s]
2025-11-03T16:31:38.4087473Z running benchmark:  16% 8/50 [00:01<00:06,  6.42it/s]
2025-11-03T16:31:38.5589256Z running benchmark:  18% 9/50 [00:01<00:06,  6.50it/s]
2025-11-03T16:31:38.7081207Z running benchmark:  20% 10/50 [00:01<00:06,  6.55it/s]
2025-11-03T16:31:38.8584010Z running benchmark:  22% 11/50 [00:01<00:05,  6.59it/s]
2025-11-03T16:31:39.0079372Z running benchmark:  24% 12/50 [00:01<00:05,  6.61it/s]
2025-11-03T16:31:39.1772083Z running benchmark:  26% 13/50 [00:02<00:05,  6.63it/s]
2025-11-03T16:31:39.3275299Z running benchmark:  28% 14/50 [00:02<00:05,  6.40it/s]
2025-11-03T16:31:39.4777073Z running benchmark:  30% 15/50 [00:02<00:05,  6.47it/s]
2025-11-03T16:31:39.6267736Z running benchmark:  32% 16/50 [00:02<00:05,  6.53it/s]
2025-11-03T16:31:39.7758935Z running benchmark:  34% 17/50 [00:02<00:05,  6.58it/s]
2025-11-03T16:31:39.9265447Z running benchmark:  36% 18/50 [00:02<00:04,  6.62it/s]
2025-11-03T16:31:40.0761232Z running benchmark:  38% 19/50 [00:02<00:04,  6.62it/s]
2025-11-03T16:31:40.2468686Z running benchmark:  40% 20/50 [00:03<00:04,  6.65it/s]
2025-11-03T16:31:40.3960393Z running benchmark:  42% 21/50 [00:03<00:04,  6.38it/s]
2025-11-03T16:31:40.5451252Z running benchmark:  44% 22/50 [00:03<00:04,  6.48it/s]
2025-11-03T16:31:40.6936546Z running benchmark:  46% 23/50 [00:03<00:04,  6.55it/s]
2025-11-03T16:31:40.8422940Z running benchmark:  48% 24/50 [00:03<00:03,  6.60it/s]
2025-11-03T16:31:40.9911746Z running benchmark:  50% 25/50 [00:03<00:03,  6.64it/s]
2025-11-03T16:31:41.1392300Z running benchmark:  52% 26/50 [00:04<00:03,  6.66it/s]
2025-11-03T16:31:41.3098699Z running benchmark:  54% 27/50 [00:04<00:03,  6.69it/s]
2025-11-03T16:31:41.4585323Z running benchmark:  56% 28/50 [00:04<00:03,  6.42it/s]
2025-11-03T16:31:41.6065735Z running benchmark:  58% 29/50 [00:04<00:03,  6.51it/s]
2025-11-03T16:31:41.7549899Z running benchmark:  60% 30/50 [00:04<00:03,  6.58it/s]
2025-11-03T16:31:41.9036299Z running benchmark:  62% 31/50 [00:04<00:02,  6.63it/s]
2025-11-03T16:31:42.0535258Z running benchmark:  64% 32/50 [00:04<00:02,  6.66it/s]
2025-11-03T16:31:42.2015730Z running benchmark:  66% 33/50 [00:05<00:02,  6.66it/s]
2025-11-03T16:31:42.3713129Z running benchmark:  68% 34/50 [00:05<00:02,  6.69it/s]
2025-11-03T16:31:42.5196574Z running benchmark:  70% 35/50 [00:05<00:02,  6.43it/s]
2025-11-03T16:31:42.6682700Z running benchmark:  72% 36/50 [00:05<00:02,  6.52it/s]
2025-11-03T16:31:42.8179576Z running benchmark:  74% 37/50 [00:05<00:01,  6.58it/s]
2025-11-03T16:31:42.9657783Z running benchmark:  76% 38/50 [00:05<00:01,  6.61it/s]
2025-11-03T16:31:43.1129286Z running benchmark:  78% 39/50 [00:05<00:01,  6.66it/s]
2025-11-03T16:31:43.2602521Z running benchmark:  80% 40/50 [00:06<00:01,  6.70it/s]
2025-11-03T16:31:43.4308625Z running benchmark:  82% 41/50 [00:06<00:01,  6.72it/s]
2025-11-03T16:31:43.5778390Z running benchmark:  84% 42/50 [00:06<00:01,  6.44it/s]
2025-11-03T16:31:43.7246387Z running benchmark:  86% 43/50 [00:06<00:01,  6.54it/s]
2025-11-03T16:31:43.8722219Z running benchmark:  88% 44/50 [00:06<00:00,  6.62it/s]
2025-11-03T16:31:44.0186118Z running benchmark:  90% 45/50 [00:06<00:00,  6.67it/s]
2025-11-03T16:31:44.1647137Z running benchmark:  92% 46/50 [00:07<00:00,  6.72it/s]
2025-11-03T16:31:44.3118331Z running benchmark:  94% 47/50 [00:07<00:00,  6.75it/s]
2025-11-03T16:31:44.4762425Z running benchmark:  96% 48/50 [00:07<00:00,  6.77it/s]
2025-11-03T16:31:44.6302499Z running benchmark:  98% 49/50 [00:07<00:00,  6.55it/s]
2025-11-03T16:31:44.6302985Z running benchmark: 100% 50/50 [00:07<00:00,  6.53it/s]
2025-11-03T16:31:44.6303389Z running benchmark: 100% 50/50 [00:07<00:00,  6.54it/s]
2025-11-03T16:31:44.6526321Z 2.916x
2025-11-03T16:31:44.6528192Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-11-03T16:31:46.1054194Z + cat /var/lib/jenkins/workspace/test/test-reports/inductor_inference_densenet121_export-aot-inductor_amp_static_cpu_smoketest.csv
2025-11-03T16:31:46.1076698Z dev,name,batch_size,speedup,abs_latency,compilation_latency,compression_ratio,eager_peak_mem,dynamo_peak_mem,calls_captured,unique_graphs,graph_breaks,unique_graph_breaks,autograd_captures,autograd_compiles,cudagraph_skips
2025-11-03T16:31:46.1077649Z cpu,densenet121,64,2.916495,37.782354,25.409790,0.964241,512.840909,531.859866,0,0,0,0,0,0,1
2025-11-03T16:31:46.1078285Z + python benchmarks/dynamo/check_perf_csv.py -f /var/lib/jenkins/workspace/test/test-reports/inductor_inference_densenet121_export-aot-inductor_amp_static_cpu_smoketest.csv -t 1.25591385 -s 0.99
2025-11-03T16:31:46.3560516Z densenet121                        2.916495
2025-11-03T16:31:46.3936792Z + IFS=,
2025-11-03T16:31:46.3937021Z + read -r -a model_cfg
2025-11-03T16:31:46.3939641Z + sccache_epilogue
2025-11-03T16:31:46.3939891Z + echo '::group::Sccache Compilation Log'
2025-11-03T16:31:46.3940442Z ##[group]Sccache Compilation Log
2025-11-03T16:31:46.3940721Z + echo '=================== sccache compilation log ==================='
2025-11-03T16:31:46.3941034Z =================== sccache compilation log ===================
2025-11-03T16:31:46.3941489Z + python /var/lib/jenkins/workspace/.ci/pytorch/print_sccache_log.py /var/lib/jenkins/sccache_error.log
2025-11-03T16:31:46.4161892Z + echo '=========== If your build fails, please take a look at the log above for possible reasons ==========='
2025-11-03T16:31:46.4162394Z =========== If your build fails, please take a look at the log above for possible reasons ===========
2025-11-03T16:31:46.4162731Z + sccache --show-stats
2025-11-03T16:31:46.4197887Z Compile requests                    165
2025-11-03T16:31:46.4198131Z Compile requests executed             8
2025-11-03T16:31:46.4198350Z Cache hits                            5
2025-11-03T16:31:46.4198566Z Cache hits (C/C++)                    5
2025-11-03T16:31:46.4198772Z Cache misses                          3
2025-11-03T16:31:46.4198989Z Cache misses (C/C++)                  3
2025-11-03T16:31:46.4199213Z Cache hits rate                   62.50 %
2025-11-03T16:31:46.4199439Z Cache hits rate (C/C++)           62.50 %
2025-11-03T16:31:46.4199703Z Cache timeouts                        0
2025-11-03T16:31:46.4199914Z Cache read errors                     0
2025-11-03T16:31:46.4200132Z Forced recaches                       0
2025-11-03T16:31:46.4200340Z Cache write errors                    0
2025-11-03T16:31:46.4200550Z Cache errors                          0
2025-11-03T16:31:46.4200750Z Compilations                          3
2025-11-03T16:31:46.4200972Z Compilation failures                  0
2025-11-03T16:31:46.4201193Z Non-cacheable compilations            0
2025-11-03T16:31:46.4201409Z Non-cacheable calls                  22
2025-11-03T16:31:46.4201617Z Non-compilation calls               135
2025-11-03T16:31:46.4201840Z Unsupported compiler calls            0
2025-11-03T16:31:46.4202064Z Average cache write               0.052 s
2025-11-03T16:31:46.4202289Z Average compiler                  3.134 s
2025-11-03T16:31:46.4202506Z Average cache read hit            0.027 s
2025-11-03T16:31:46.4202733Z Failed distributed compilations       0
2025-11-03T16:31:46.4202882Z 
2025-11-03T16:31:46.4202958Z Non-cacheable reasons:
2025-11-03T16:31:46.4203154Z -E                                   18
2025-11-03T16:31:46.4203371Z unknown source language               4
2025-11-03T16:31:46.4203515Z 
2025-11-03T16:31:46.4203679Z Cache location                  s3, name: ossci-compiler-cache-circleci-v2, prefix: /
2025-11-03T16:31:46.4203987Z Version (client)                0.10.0
2025-11-03T16:31:46.4204204Z + sccache --stop-server
2025-11-03T16:31:46.4228800Z Stopping sccache server...
2025-11-03T16:31:46.4229646Z Compile requests                    165
2025-11-03T16:31:46.4229889Z Compile requests executed             8
2025-11-03T16:31:46.4230277Z Cache hits                            5
2025-11-03T16:31:46.4230489Z Cache hits (C/C++)                    5
2025-11-03T16:31:46.4230689Z Cache misses                          3
2025-11-03T16:31:46.4230900Z Cache misses (C/C++)                  3
2025-11-03T16:31:46.4231117Z Cache hits rate                   62.50 %
2025-11-03T16:31:46.4231341Z Cache hits rate (C/C++)           62.50 %
2025-11-03T16:31:46.4231548Z Cache timeouts                        0
2025-11-03T16:31:46.4231813Z Cache read errors                     0
2025-11-03T16:31:46.4232024Z Forced recaches                       0
2025-11-03T16:31:46.4232237Z Cache write errors                    0
2025-11-03T16:31:46.4232493Z Cache errors                          0
2025-11-03T16:31:46.4232726Z Compilations                          3
2025-11-03T16:31:46.4233000Z Compilation failures                  0
2025-11-03T16:31:46.4233253Z Non-cacheable compilations            0
2025-11-03T16:31:46.4233476Z Non-cacheable calls                  22
2025-11-03T16:31:46.4233682Z Non-compilation calls               135
2025-11-03T16:31:46.4233896Z Unsupported compiler calls            0
2025-11-03T16:31:46.4234119Z Average cache write               0.052 s
2025-11-03T16:31:46.4234341Z Average compiler                  3.134 s
2025-11-03T16:31:46.4234553Z Average cache read hit            0.027 s
2025-11-03T16:31:46.4234778Z Failed distributed compilations       0
2025-11-03T16:31:46.4234920Z 
2025-11-03T16:31:46.4235006Z Non-cacheable reasons:
2025-11-03T16:31:46.4235257Z -E                                   18
2025-11-03T16:31:46.4235470Z unknown source language               4
2025-11-03T16:31:46.4235612Z 
2025-11-03T16:31:46.4235781Z Cache location                  s3, name: ossci-compiler-cache-circleci-v2, prefix: /
2025-11-03T16:31:46.4236086Z Version (client)                0.10.0
2025-11-03T16:31:46.4236326Z + echo ::endgroup::
2025-11-03T16:31:46.4236801Z ##[endgroup]
2025-11-03T16:31:46.4236974Z + cleanup_workspace
2025-11-03T16:31:46.4237304Z + echo 'sudo may print the following warning message that can be ignored. The chown command will still run.'
2025-11-03T16:31:46.4237801Z sudo may print the following warning message that can be ignored. The chown command will still run.
2025-11-03T16:31:46.4238217Z + echo '    sudo: setrlimit(RLIMIT_STACK): Operation not permitted'
2025-11-03T16:31:46.4238530Z     sudo: setrlimit(RLIMIT_STACK): Operation not permitted
2025-11-03T16:31:46.4238904Z + echo 'For more details refer to https://github.com/sudo-project/sudo/issues/42'
2025-11-03T16:31:46.4239280Z For more details refer to https://github.com/sudo-project/sudo/issues/42
2025-11-03T16:31:46.4239594Z + sudo chown -R 1000 /var/lib/jenkins/workspace
2025-11-03T16:31:46.8418151Z ##[group]Run pytorch/test-infra/.github/actions/upload-benchmark-results@main
2025-11-03T16:31:46.8418467Z with:
2025-11-03T16:31:46.8418665Z   benchmark-results-dir: test/test-reports
2025-11-03T16:31:46.8418894Z   dry-run: false
2025-11-03T16:31:46.8419079Z   schema-version: v3
2025-11-03T16:31:46.8419441Z   github-token: ***
2025-11-03T16:31:46.8419603Z env:
2025-11-03T16:31:46.8419766Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:31:46.8420088Z   DOCKER_CONTAINER_ID: b93c4138e691bca2f408fa9a1adae99b1e2a26f8a9843f4ca04c823ca1158866
2025-11-03T16:31:46.8420422Z ##[endgroup]
2025-11-03T16:31:46.8442080Z ##[group]Run set -eux
2025-11-03T16:31:46.8442285Z set -eux
2025-11-03T16:31:46.8442429Z 
2025-11-03T16:31:46.8442586Z if [[ -n "" ]]; then
2025-11-03T16:31:46.8442767Z   source ""
2025-11-03T16:31:46.8442923Z fi
2025-11-03T16:31:46.8443140Z python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0
2025-11-03T16:31:46.8443436Z 
2025-11-03T16:31:46.8443584Z DEVICE_NAME=""
2025-11-03T16:31:46.8443750Z DEVICE_TYPE=""
2025-11-03T16:31:46.8443909Z 
2025-11-03T16:31:46.8444064Z if command -v nvidia-smi; then
2025-11-03T16:31:46.8444401Z   # NB: I'm using PyTorch here to get the device name, however, it needs to
2025-11-03T16:31:46.8444728Z   # install the correct version of PyTorch manually for now. Any PyTorch
2025-11-03T16:31:46.8445044Z   # version is fine, I just use 2.7.1 to satify PYPIDEP linter
2025-11-03T16:31:46.8445307Z   python3 -mpip install torch==2.7.1
2025-11-03T16:31:46.8445524Z elif command -v rocminfo; then
2025-11-03T16:31:46.8445783Z   # NB: Installing torch on ROCm runner with pip here causes CI to fail
2025-11-03T16:31:46.8446158Z   # with a memoryview is too large error only on MI300 runners. Is pip
2025-11-03T16:31:46.8446496Z   # version on ROCm runner there too old? As a workaround, let's use the
2025-11-03T16:31:46.8446790Z   # GPU device name coming from rocminfo instead
2025-11-03T16:31:46.8447015Z   DEVICE_NAME=rocm
2025-11-03T16:31:46.8447306Z   DEVICE_TYPE=$(rocminfo | grep "Marketing Name" | tail -n1 | awk -F':' '{print $2}' | xargs)
2025-11-03T16:31:46.8447597Z fi
2025-11-03T16:31:46.8447742Z 
2025-11-03T16:31:46.8447928Z echo "DEVICE_NAME=$DEVICE_NAME" >> $GITHUB_ENV
2025-11-03T16:31:46.8448178Z echo "DEVICE_TYPE=$DEVICE_TYPE" >> $GITHUB_ENV
2025-11-03T16:31:46.8456274Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:31:46.8456516Z env:
2025-11-03T16:31:46.8456678Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:31:46.8456997Z   DOCKER_CONTAINER_ID: b93c4138e691bca2f408fa9a1adae99b1e2a26f8a9843f4ca04c823ca1158866
2025-11-03T16:31:46.8457305Z ##[endgroup]
2025-11-03T16:31:46.8482181Z + [[ -n '' ]]
2025-11-03T16:31:46.8482523Z + python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0
2025-11-03T16:31:47.0111315Z Defaulting to user installation because normal site-packages is not writeable
2025-11-03T16:31:47.7180935Z Collecting boto3==1.35.33
2025-11-03T16:31:47.7300540Z   Downloading boto3-1.35.33-py3-none-any.whl (139 kB)
2025-11-03T16:31:47.9357502Z Collecting psutil==7.0.0
2025-11-03T16:31:47.9388813Z   Downloading psutil-7.0.0-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (277 kB)
2025-11-03T16:31:47.9614968Z Collecting pynvml==12.0.0
2025-11-03T16:31:47.9643939Z   Downloading pynvml-12.0.0-py3-none-any.whl (26 kB)
2025-11-03T16:31:48.7008974Z Collecting botocore<1.36.0,>=1.35.33
2025-11-03T16:31:48.7036211Z   Downloading botocore-1.35.99-py3-none-any.whl (13.3 MB)
2025-11-03T16:31:48.8165115Z Collecting s3transfer<0.11.0,>=0.10.0
2025-11-03T16:31:48.8199968Z   Downloading s3transfer-0.10.4-py3-none-any.whl (83 kB)
2025-11-03T16:31:48.8236997Z Requirement already satisfied: jmespath<2.0.0,>=0.7.1 in /usr/lib/python3.9/site-packages (from boto3==1.35.33) (0.10.0)
2025-11-03T16:31:48.8527166Z Collecting nvidia-ml-py<13.0.0a0,>=12.0.0
2025-11-03T16:31:48.8579584Z   Downloading nvidia_ml_py-12.575.51-py3-none-any.whl (47 kB)
2025-11-03T16:31:48.8646230Z Requirement already satisfied: urllib3<1.27,>=1.25.4 in /usr/lib/python3.9/site-packages (from botocore<1.36.0,>=1.35.33->boto3==1.35.33) (1.25.10)
2025-11-03T16:31:48.8650302Z Requirement already satisfied: python-dateutil<3.0.0,>=2.1 in /usr/lib/python3.9/site-packages (from botocore<1.36.0,>=1.35.33->boto3==1.35.33) (2.8.1)
2025-11-03T16:31:48.9993480Z Requirement already satisfied: six>=1.5 in /usr/lib/python3.9/site-packages (from python-dateutil<3.0.0,>=2.1->botocore<1.36.0,>=1.35.33->boto3==1.35.33) (1.15.0)
2025-11-03T16:31:49.0894793Z Installing collected packages: botocore, s3transfer, nvidia-ml-py, pynvml, psutil, boto3
2025-11-03T16:31:49.4005183Z   Attempting uninstall: nvidia-ml-py
2025-11-03T16:31:49.4005548Z     Found existing installation: nvidia-ml-py 11.525.84
2025-11-03T16:31:49.4013316Z     Uninstalling nvidia-ml-py-11.525.84:
2025-11-03T16:31:49.4128382Z       Successfully uninstalled nvidia-ml-py-11.525.84
2025-11-03T16:31:49.4538380Z   Attempting uninstall: psutil
2025-11-03T16:31:49.4538694Z     Found existing installation: psutil 5.9.8
2025-11-03T16:31:49.4578265Z     Uninstalling psutil-5.9.8:
2025-11-03T16:31:49.4582184Z       Successfully uninstalled psutil-5.9.8
2025-11-03T16:31:49.5742364Z Successfully installed boto3-1.35.33 botocore-1.35.99 nvidia-ml-py-12.575.51 psutil-7.0.0 pynvml-12.0.0 s3transfer-0.10.4
2025-11-03T16:31:49.6616714Z + DEVICE_NAME=
2025-11-03T16:31:49.6616966Z + DEVICE_TYPE=
2025-11-03T16:31:49.6617177Z + command -v nvidia-smi
2025-11-03T16:31:49.6617396Z + command -v rocminfo
2025-11-03T16:31:49.6617774Z + echo DEVICE_NAME=
2025-11-03T16:31:49.6617994Z + echo DEVICE_TYPE=
2025-11-03T16:31:49.6640690Z ##[group]Run set -eux
2025-11-03T16:31:49.6640879Z set -eux
2025-11-03T16:31:49.6641039Z 
2025-11-03T16:31:49.6641198Z if [[ -z "${GITHUB_TOKEN}" ]]; then
2025-11-03T16:31:49.6641423Z   echo "Missing github-token input"
2025-11-03T16:31:49.6641619Z   exit 1
2025-11-03T16:31:49.6641765Z fi
2025-11-03T16:31:49.6646375Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:31:49.6646605Z env:
2025-11-03T16:31:49.6646758Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:31:49.6647055Z   DOCKER_CONTAINER_ID: b93c4138e691bca2f408fa9a1adae99b1e2a26f8a9843f4ca04c823ca1158866
2025-11-03T16:31:49.6647362Z   DEVICE_NAME: 
2025-11-03T16:31:49.6647507Z   DEVICE_TYPE: 
2025-11-03T16:31:49.6647847Z   GITHUB_TOKEN: ***
2025-11-03T16:31:49.6648008Z ##[endgroup]
2025-11-03T16:31:49.6665513Z + [[ -z *** ]]
2025-11-03T16:31:49.6696540Z ##[group]Run pytorch/test-infra/.github/actions/get-workflow-job-id@main
2025-11-03T16:31:49.6696807Z with:
2025-11-03T16:31:49.6697068Z   github-token: ***
2025-11-03T16:31:49.6697232Z env:
2025-11-03T16:31:49.6697395Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:31:49.6697687Z   DOCKER_CONTAINER_ID: b93c4138e691bca2f408fa9a1adae99b1e2a26f8a9843f4ca04c823ca1158866
2025-11-03T16:31:49.6697991Z   DEVICE_NAME: 
2025-11-03T16:31:49.6698148Z   DEVICE_TYPE: 
2025-11-03T16:31:49.6698306Z ##[endgroup]
2025-11-03T16:31:49.6710668Z ##[group]Run set -eux
2025-11-03T16:31:49.6710854Z set -eux
2025-11-03T16:31:49.6711001Z 
2025-11-03T16:31:49.6711283Z python3 "${GITHUB_ACTION_PATH}/../../scripts/get_workflow_job_id.py" "${GITHUB_RUN_ID}" "${RUNNER_NAME}"
2025-11-03T16:31:49.6715622Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:31:49.6715856Z env:
2025-11-03T16:31:49.6716002Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:31:49.6716288Z   DOCKER_CONTAINER_ID: b93c4138e691bca2f408fa9a1adae99b1e2a26f8a9843f4ca04c823ca1158866
2025-11-03T16:31:49.6716580Z   DEVICE_NAME: 
2025-11-03T16:31:49.6716733Z   DEVICE_TYPE: 
2025-11-03T16:31:49.6716993Z   GITHUB_TOKEN: ***
2025-11-03T16:31:49.6717252Z ##[endgroup]
2025-11-03T16:31:49.6734749Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/get-workflow-job-id/../../scripts/get_workflow_job_id.py 19040285537 i-009a292503ca4fba2
2025-11-03T16:31:50.9875741Z setting job-id=54378387671
2025-11-03T16:31:50.9876305Z setting job-name=inductor-cpu-test / test (inductor_torchbench_cpu_smoketest_perf, 1, 1, linux.24xl.spr-metal)
2025-11-03T16:31:50.9956811Z ##[group]Run set -eux
2025-11-03T16:31:50.9956994Z set -eux
2025-11-03T16:31:50.9957143Z 
2025-11-03T16:31:50.9957294Z if [[ -n "" ]]; then
2025-11-03T16:31:50.9957465Z   source ""
2025-11-03T16:31:50.9957619Z fi
2025-11-03T16:31:50.9957761Z 
2025-11-03T16:31:50.9958004Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_metadata.py" \
2025-11-03T16:31:50.9958303Z   --schema-version "${SCHEMA_VERSION}" \
2025-11-03T16:31:50.9958516Z   --repo "${REPO}" \
2025-11-03T16:31:50.9958715Z   --head-branch "${HEAD_BRANCH}" \
2025-11-03T16:31:50.9958921Z   --head-sha "${HEAD_SHA}" \
2025-11-03T16:31:50.9959124Z   --workflow-id "${WORKFLOW_RUN_ID}" \
2025-11-03T16:31:50.9959344Z   --run-attempt "${RUN_ATTEMPT}" \
2025-11-03T16:31:50.9959605Z   --job-id "${JOB_ID}" \
2025-11-03T16:31:50.9959794Z   --job-name "${JOB_NAME}"
2025-11-03T16:31:50.9964389Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:31:50.9964628Z env:
2025-11-03T16:31:50.9964781Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:31:50.9965076Z   DOCKER_CONTAINER_ID: b93c4138e691bca2f408fa9a1adae99b1e2a26f8a9843f4ca04c823ca1158866
2025-11-03T16:31:50.9965367Z   DEVICE_NAME: 
2025-11-03T16:31:50.9965569Z   DEVICE_TYPE: 
2025-11-03T16:31:50.9965719Z   SCHEMA_VERSION: v3
2025-11-03T16:31:50.9965886Z   REPO: pytorch/pytorch
2025-11-03T16:31:50.9966053Z   HEAD_BRANCH: refs/heads/main
2025-11-03T16:31:50.9966272Z   HEAD_SHA: 3f6538febd727b782e6e13cfd026a309fb14351d
2025-11-03T16:31:50.9966491Z   WORKFLOW_RUN_ID: 19040285537
2025-11-03T16:31:50.9966662Z   RUN_ATTEMPT: 1
2025-11-03T16:31:50.9966807Z   JOB_ID: 54378387671
2025-11-03T16:31:50.9967111Z   JOB_NAME: inductor-cpu-test / test (inductor_torchbench_cpu_smoketest_perf, 1, 1, linux.24xl.spr-metal)
2025-11-03T16:31:50.9967424Z ##[endgroup]
2025-11-03T16:31:50.9987270Z + [[ -n '' ]]
2025-11-03T16:31:50.9988704Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_metadata.py --schema-version v3 --repo pytorch/pytorch --head-branch refs/heads/main --head-sha 3f6538febd727b782e6e13cfd026a309fb14351d --workflow-id 19040285537 --run-attempt 1 --job-id 54378387671 --job-name 'inductor-cpu-test / test (inductor_torchbench_cpu_smoketest_perf, 1, 1, linux.24xl.spr-metal)'
2025-11-03T16:31:51.0222933Z ##[group]Run set -eux
2025-11-03T16:31:51.0223123Z set -eux
2025-11-03T16:31:51.0223276Z 
2025-11-03T16:31:51.0223423Z if [[ -n "" ]]; then
2025-11-03T16:31:51.0223603Z   source ""
2025-11-03T16:31:51.0223754Z fi
2025-11-03T16:31:51.0223886Z 
2025-11-03T16:31:51.0224127Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_runners_info.py"
2025-11-03T16:31:51.0227763Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:31:51.0227990Z env:
2025-11-03T16:31:51.0228133Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:31:51.0228420Z   DOCKER_CONTAINER_ID: b93c4138e691bca2f408fa9a1adae99b1e2a26f8a9843f4ca04c823ca1158866
2025-11-03T16:31:51.0228715Z   DEVICE_NAME: 
2025-11-03T16:31:51.0228867Z   DEVICE_TYPE: 
2025-11-03T16:31:51.0229010Z ##[endgroup]
2025-11-03T16:31:51.0245015Z + [[ -n '' ]]
2025-11-03T16:31:51.0245488Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_runners_info.py
2025-11-03T16:31:51.0528646Z INFO:root:Fail to import torch to get the device name
2025-11-03T16:31:51.0610590Z ##[group]Run set -eux
2025-11-03T16:31:51.0610774Z set -eux
2025-11-03T16:31:51.0610924Z 
2025-11-03T16:31:51.0611089Z # TODO (huydhn): Implement this part
2025-11-03T16:31:51.0611344Z echo "dependencies={}" >> "${GITHUB_OUTPUT}"
2025-11-03T16:31:51.0614893Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:31:51.0615124Z env:
2025-11-03T16:31:51.0615270Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:31:51.0615559Z   DOCKER_CONTAINER_ID: b93c4138e691bca2f408fa9a1adae99b1e2a26f8a9843f4ca04c823ca1158866
2025-11-03T16:31:51.0615852Z   DEVICE_NAME: 
2025-11-03T16:31:51.0616005Z   DEVICE_TYPE: 
2025-11-03T16:31:51.0616156Z ##[endgroup]
2025-11-03T16:31:51.0632954Z + echo 'dependencies={}'
2025-11-03T16:31:51.0650281Z ##[group]Run set -eux
2025-11-03T16:31:51.0650476Z set -eux
2025-11-03T16:31:51.0650634Z 
2025-11-03T16:31:51.0650791Z if [[ -n "" ]]; then
2025-11-03T16:31:51.0650969Z   source ""
2025-11-03T16:31:51.0651123Z fi
2025-11-03T16:31:51.0651265Z 
2025-11-03T16:31:51.0651432Z if [[ ! -d "${BENCHMARK_RESULTS_DIR}" ]]; then
2025-11-03T16:31:51.0651701Z   echo "${BENCHMARK_RESULTS_DIR} does not exist, skipping"
2025-11-03T16:31:51.0652036Z   # We don't want the job to fail if the directory doesn't exist
2025-11-03T16:31:51.0652271Z   exit 0
2025-11-03T16:31:51.0652410Z fi
2025-11-03T16:31:51.0652548Z 
2025-11-03T16:31:51.0652703Z if [[ "${DRY_RUN}" == "true" ]]; then
2025-11-03T16:31:51.0652989Z   python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \
2025-11-03T16:31:51.0653355Z     --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \
2025-11-03T16:31:51.0653678Z     --metadata "${BENCHMARK_METADATA}" \
2025-11-03T16:31:51.0653896Z     --runners "${RUNNER_INFO}" \
2025-11-03T16:31:51.0654119Z     --dependencies "${DEPENDENCIES}" \
2025-11-03T16:31:51.0654327Z     --dry-run
2025-11-03T16:31:51.0654484Z else
2025-11-03T16:31:51.0654716Z   python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \
2025-11-03T16:31:51.0655033Z     --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \
2025-11-03T16:31:51.0655282Z     --metadata "${BENCHMARK_METADATA}" \
2025-11-03T16:31:51.0655487Z     --runners "${RUNNER_INFO}" \
2025-11-03T16:31:51.0655699Z     --dependencies "${DEPENDENCIES}"
2025-11-03T16:31:51.0655896Z fi
2025-11-03T16:31:51.0659348Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:31:51.0659584Z env:
2025-11-03T16:31:51.0659727Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:31:51.0660022Z   DOCKER_CONTAINER_ID: b93c4138e691bca2f408fa9a1adae99b1e2a26f8a9843f4ca04c823ca1158866
2025-11-03T16:31:51.0660326Z   DEVICE_NAME: 
2025-11-03T16:31:51.0660484Z   DEVICE_TYPE: 
2025-11-03T16:31:51.0660651Z   BENCHMARK_RESULTS_DIR: test/test-reports
2025-11-03T16:31:51.0660851Z   DRY_RUN: false
2025-11-03T16:31:51.0661637Z   BENCHMARK_METADATA: {"timestamp": 1762187511, "schema_version": "v3", "name": "inductor-cpu-test / test (inductor_torchbench_cpu_smoketest_perf, 1, 1, linux.24xl.spr-metal)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "3f6538febd727b782e6e13cfd026a309fb14351d", "workflow_id": 19040285537, "run_attempt": 1, "job_id": 54378387671}
2025-11-03T16:31:51.0662630Z   RUNNER_INFO: [{"cpu_info": "x86_64", "cpu_count": 96, "avail_mem_in_gb": 188, "extra_info": {"hostname": "ip-10-0-69-124.ec2.internal"}, "name": "", "type": ""}]
2025-11-03T16:31:51.0662997Z   DEPENDENCIES: {}
2025-11-03T16:31:51.0663168Z ##[endgroup]
2025-11-03T16:31:51.0677877Z + [[ -n '' ]]
2025-11-03T16:31:51.0678039Z + [[ ! -d test/test-reports ]]
2025-11-03T16:31:51.0678231Z + [[ false == \t\r\u\e ]]
2025-11-03T16:31:51.0679888Z + 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": 1762187511, "schema_version": "v3", "name": "inductor-cpu-test / test (inductor_torchbench_cpu_smoketest_perf, 1, 1, linux.24xl.spr-metal)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "3f6538febd727b782e6e13cfd026a309fb14351d", "workflow_id": 19040285537, "run_attempt": 1, "job_id": 54378387671}' --runners '[{"cpu_info": "x86_64", "cpu_count": 96, "avail_mem_in_gb": 188, "extra_info": {"hostname": "ip-10-0-69-124.ec2.internal"}, "name": "", "type": ""}]' --dependencies '{}'
2025-11-03T16:31:51.1623474Z INFO:root:Upload test/test-reports/inductor_inference_phlippe_densenet_inductor_float32_static_cpu_smoketest.json to s3://ossci-benchmarks/v3/pytorch/pytorch/19040285537/54378387671/inductor_inference_phlippe_densenet_inductor_float32_static_cpu_smoketest.json
2025-11-03T16:31:51.1802501Z INFO:botocore.credentials:Found credentials from IAM Role: gh-ci-github-action-runners-runner-role
2025-11-03T16:31:51.3091367Z INFO:root:Upload test/test-reports/inductor_inference_phlippe_densenet_inductor_float32_static_cpu_smoketest_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/19040285537/54378387671/inductor_inference_phlippe_densenet_inductor_float32_static_cpu_smoketest_compilation_metrics.json
2025-11-03T16:31:51.3783892Z INFO:root:Upload test/test-reports/inductor_inference_basic_gnn_edgecnn_inductor_float32_dynamic_cpu_smoketest.json to s3://ossci-benchmarks/v3/pytorch/pytorch/19040285537/54378387671/inductor_inference_basic_gnn_edgecnn_inductor_float32_dynamic_cpu_smoketest.json
2025-11-03T16:31:51.4507323Z INFO:root:Upload test/test-reports/inductor_inference_basic_gnn_edgecnn_inductor_float32_dynamic_cpu_smoketest_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/19040285537/54378387671/inductor_inference_basic_gnn_edgecnn_inductor_float32_dynamic_cpu_smoketest_compilation_metrics.json
2025-11-03T16:31:51.5129437Z INFO:root:Upload test/test-reports/inductor_inference_llama_v2_7b_16h_inductor_float32_dynamic_cpu_smoketest.json to s3://ossci-benchmarks/v3/pytorch/pytorch/19040285537/54378387671/inductor_inference_llama_v2_7b_16h_inductor_float32_dynamic_cpu_smoketest.json
2025-11-03T16:31:51.5905708Z INFO:root:Upload test/test-reports/inductor_inference_llama_v2_7b_16h_inductor_float32_dynamic_cpu_smoketest_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/19040285537/54378387671/inductor_inference_llama_v2_7b_16h_inductor_float32_dynamic_cpu_smoketest_compilation_metrics.json
2025-11-03T16:31:51.6583513Z INFO:root:Upload test/test-reports/inductor_inference_resnet50_inductor_float32_dynamic_cpu_smoketest.json to s3://ossci-benchmarks/v3/pytorch/pytorch/19040285537/54378387671/inductor_inference_resnet50_inductor_float32_dynamic_cpu_smoketest.json
2025-11-03T16:31:51.7223989Z INFO:root:Upload test/test-reports/inductor_inference_resnet50_inductor_float32_dynamic_cpu_smoketest_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/19040285537/54378387671/inductor_inference_resnet50_inductor_float32_dynamic_cpu_smoketest_compilation_metrics.json
2025-11-03T16:31:51.8041427Z INFO:root:Upload test/test-reports/inductor_inference_mobilenet_v3_large_inductor_float32_static_cpu_smoketest.json to s3://ossci-benchmarks/v3/pytorch/pytorch/19040285537/54378387671/inductor_inference_mobilenet_v3_large_inductor_float32_static_cpu_smoketest.json
2025-11-03T16:31:51.8637037Z INFO:root:Upload test/test-reports/inductor_inference_mobilenet_v3_large_inductor_float32_static_cpu_smoketest_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/19040285537/54378387671/inductor_inference_mobilenet_v3_large_inductor_float32_static_cpu_smoketest_compilation_metrics.json
2025-11-03T16:31:52.0039015Z INFO:root:Upload test/test-reports/inductor_inference_functorch_maml_omniglot_inductor_float32_dynamic_cpu_smoketest.json to s3://ossci-benchmarks/v3/pytorch/pytorch/19040285537/54378387671/inductor_inference_functorch_maml_omniglot_inductor_float32_dynamic_cpu_smoketest.json
2025-11-03T16:31:52.1035357Z INFO:root:Upload test/test-reports/inductor_inference_functorch_maml_omniglot_inductor_float32_dynamic_cpu_smoketest_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/19040285537/54378387671/inductor_inference_functorch_maml_omniglot_inductor_float32_dynamic_cpu_smoketest_compilation_metrics.json
2025-11-03T16:31:52.1776142Z INFO:root:Upload test/test-reports/inductor_inference_yolov3_export-aot-inductor_float32_static_cpu_smoketest.json to s3://ossci-benchmarks/v3/pytorch/pytorch/19040285537/54378387671/inductor_inference_yolov3_export-aot-inductor_float32_static_cpu_smoketest.json
2025-11-03T16:31:52.2463549Z INFO:root:Upload test/test-reports/inductor_inference_yolov3_export-aot-inductor_float32_static_cpu_smoketest_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/19040285537/54378387671/inductor_inference_yolov3_export-aot-inductor_float32_static_cpu_smoketest_compilation_metrics.json
2025-11-03T16:31:52.3062728Z INFO:root:Upload test/test-reports/inductor_inference_mobilenet_v2_export-aot-inductor_float32_static_cpu_smoketest.json to s3://ossci-benchmarks/v3/pytorch/pytorch/19040285537/54378387671/inductor_inference_mobilenet_v2_export-aot-inductor_float32_static_cpu_smoketest.json
2025-11-03T16:31:52.3753104Z INFO:root:Upload test/test-reports/inductor_inference_mobilenet_v2_export-aot-inductor_float32_static_cpu_smoketest_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/19040285537/54378387671/inductor_inference_mobilenet_v2_export-aot-inductor_float32_static_cpu_smoketest_compilation_metrics.json
2025-11-03T16:31:52.4512545Z INFO:root:Upload test/test-reports/inductor_inference_resnext50_32x4d_export-aot-inductor_float32_dynamic_cpu_smoketest.json to s3://ossci-benchmarks/v3/pytorch/pytorch/19040285537/54378387671/inductor_inference_resnext50_32x4d_export-aot-inductor_float32_dynamic_cpu_smoketest.json
2025-11-03T16:31:52.5250307Z INFO:root:Upload test/test-reports/inductor_inference_resnext50_32x4d_export-aot-inductor_float32_dynamic_cpu_smoketest_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/19040285537/54378387671/inductor_inference_resnext50_32x4d_export-aot-inductor_float32_dynamic_cpu_smoketest_compilation_metrics.json
2025-11-03T16:31:52.5922699Z INFO:root:Upload test/test-reports/inductor_inference_resnext50_32x4d_inductor_amp_static_cpu_smoketest.json to s3://ossci-benchmarks/v3/pytorch/pytorch/19040285537/54378387671/inductor_inference_resnext50_32x4d_inductor_amp_static_cpu_smoketest.json
2025-11-03T16:31:52.6668785Z INFO:root:Upload test/test-reports/inductor_inference_resnext50_32x4d_inductor_amp_static_cpu_smoketest_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/19040285537/54378387671/inductor_inference_resnext50_32x4d_inductor_amp_static_cpu_smoketest_compilation_metrics.json
2025-11-03T16:31:52.7379515Z INFO:root:Upload test/test-reports/inductor_inference_vgg16_inductor_amp_static_cpu_smoketest.json to s3://ossci-benchmarks/v3/pytorch/pytorch/19040285537/54378387671/inductor_inference_vgg16_inductor_amp_static_cpu_smoketest.json
2025-11-03T16:31:52.8505790Z INFO:root:Upload test/test-reports/inductor_inference_vgg16_inductor_amp_static_cpu_smoketest_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/19040285537/54378387671/inductor_inference_vgg16_inductor_amp_static_cpu_smoketest_compilation_metrics.json
2025-11-03T16:31:52.9231112Z INFO:root:Upload test/test-reports/inductor_inference_llama_inductor_amp_static_cpu_smoketest.json to s3://ossci-benchmarks/v3/pytorch/pytorch/19040285537/54378387671/inductor_inference_llama_inductor_amp_static_cpu_smoketest.json
2025-11-03T16:31:52.9930967Z INFO:root:Upload test/test-reports/inductor_inference_llama_inductor_amp_static_cpu_smoketest_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/19040285537/54378387671/inductor_inference_llama_inductor_amp_static_cpu_smoketest_compilation_metrics.json
2025-11-03T16:31:53.0923706Z INFO:root:Upload test/test-reports/inductor_inference_mnasnet1_0_inductor_amp_static_cpu_smoketest.json to s3://ossci-benchmarks/v3/pytorch/pytorch/19040285537/54378387671/inductor_inference_mnasnet1_0_inductor_amp_static_cpu_smoketest.json
2025-11-03T16:31:53.1514950Z INFO:root:Upload test/test-reports/inductor_inference_mnasnet1_0_inductor_amp_static_cpu_smoketest_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/19040285537/54378387671/inductor_inference_mnasnet1_0_inductor_amp_static_cpu_smoketest_compilation_metrics.json
2025-11-03T16:31:53.2385535Z INFO:root:Upload test/test-reports/inductor_inference_densenet121_export-aot-inductor_amp_static_cpu_smoketest.json to s3://ossci-benchmarks/v3/pytorch/pytorch/19040285537/54378387671/inductor_inference_densenet121_export-aot-inductor_amp_static_cpu_smoketest.json
2025-11-03T16:31:53.3279325Z INFO:root:Upload test/test-reports/inductor_inference_densenet121_export-aot-inductor_amp_static_cpu_smoketest_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/19040285537/54378387671/inductor_inference_densenet121_export-aot-inductor_amp_static_cpu_smoketest_compilation_metrics.json
2025-11-03T16:31:53.4135896Z ##[group]Run cat test/**/*_toprint.log || true
2025-11-03T16:31:53.4136181Z cat test/**/*_toprint.log || true
2025-11-03T16:31:53.4139930Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:31:53.4140166Z env:
2025-11-03T16:31:53.4140312Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:31:53.4140597Z   DOCKER_CONTAINER_ID: b93c4138e691bca2f408fa9a1adae99b1e2a26f8a9843f4ca04c823ca1158866
2025-11-03T16:31:53.4140886Z   DEVICE_NAME: 
2025-11-03T16:31:53.4141039Z   DEVICE_TYPE: 
2025-11-03T16:31:53.4141221Z ##[endgroup]
2025-11-03T16:31:53.4205806Z cat: 'test/**/*_toprint.log': No such file or directory
2025-11-03T16:31:53.4227568Z ##[group]Run kill "$MONITOR_SCRIPT_PID"
2025-11-03T16:31:53.4227803Z kill "$MONITOR_SCRIPT_PID"
2025-11-03T16:31:53.4231460Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:31:53.4231695Z env:
2025-11-03T16:31:53.4231846Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:31:53.4232130Z   DOCKER_CONTAINER_ID: b93c4138e691bca2f408fa9a1adae99b1e2a26f8a9843f4ca04c823ca1158866
2025-11-03T16:31:53.4232427Z   DEVICE_NAME: 
2025-11-03T16:31:53.4232577Z   DEVICE_TYPE: 
2025-11-03T16:31:53.4232738Z   MONITOR_SCRIPT_PID: 58231
2025-11-03T16:31:53.4232915Z ##[endgroup]
2025-11-03T16:31:53.4315343Z Prepare all required actions
2025-11-03T16:31:53.4315692Z Getting action download info
2025-11-03T16:31:53.6256701Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a)
2025-11-03T16:31:53.9415001Z Download action repository 'actions/upload-artifact@v4' (SHA:ea165f8d65b6e75b540449e92b4886f43607fa02)
2025-11-03T16:31:54.3357871Z ##[group]Run ./.github/actions/upload-test-artifacts
2025-11-03T16:31:54.3358115Z with:
2025-11-03T16:31:54.3358409Z   file-suffix: test-inductor_torchbench_cpu_smoketest_perf-1-1-linux.24xl.spr-metal_54378387671
2025-11-03T16:31:54.3358758Z   s3-bucket: gha-artifacts
2025-11-03T16:31:54.3358942Z env:
2025-11-03T16:31:54.3359089Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:31:54.3359407Z   DOCKER_CONTAINER_ID: b93c4138e691bca2f408fa9a1adae99b1e2a26f8a9843f4ca04c823ca1158866
2025-11-03T16:31:54.3359717Z   DEVICE_NAME: 
2025-11-03T16:31:54.3359876Z   DEVICE_TYPE: 
2025-11-03T16:31:54.3360030Z ##[endgroup]
2025-11-03T16:31:54.3379238Z ##[group]Run # Remove any previous test jsons if they exist
2025-11-03T16:31:54.3379535Z # Remove any previous test jsons if they exist
2025-11-03T16:31:54.3379764Z rm -f test-jsons-*.zip
2025-11-03T16:31:54.3380035Z zip -r "test-jsons-${FILE_SUFFIX}.zip" test/test-reports -i '*.json'
2025-11-03T16:31:54.3383597Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:31:54.3383837Z env:
2025-11-03T16:31:54.3383980Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:31:54.3384267Z   DOCKER_CONTAINER_ID: b93c4138e691bca2f408fa9a1adae99b1e2a26f8a9843f4ca04c823ca1158866
2025-11-03T16:31:54.3384570Z   DEVICE_NAME: 
2025-11-03T16:31:54.3384725Z   DEVICE_TYPE: 
2025-11-03T16:31:54.3385004Z   FILE_SUFFIX: test-inductor_torchbench_cpu_smoketest_perf-1-1-linux.24xl.spr-metal_54378387671
2025-11-03T16:31:54.3385308Z ##[endgroup]
2025-11-03T16:31:54.3507173Z   adding: test/test-reports/inductor_inference_phlippe_densenet_inductor_float32_static_cpu_smoketest.json (deflated 96%)
2025-11-03T16:31:54.3511925Z   adding: test/test-reports/inductor_inference_phlippe_densenet_inductor_float32_static_cpu_smoketest_compilation_metrics.json (deflated 97%)
2025-11-03T16:31:54.3514373Z   adding: test/test-reports/inductor_inference_basic_gnn_edgecnn_inductor_float32_dynamic_cpu_smoketest.json (deflated 96%)
2025-11-03T16:31:54.3518917Z   adding: test/test-reports/inductor_inference_basic_gnn_edgecnn_inductor_float32_dynamic_cpu_smoketest_compilation_metrics.json (deflated 97%)
2025-11-03T16:31:54.3521335Z   adding: test/test-reports/inductor_inference_llama_v2_7b_16h_inductor_float32_dynamic_cpu_smoketest.json (deflated 96%)
2025-11-03T16:31:54.3525879Z   adding: test/test-reports/inductor_inference_llama_v2_7b_16h_inductor_float32_dynamic_cpu_smoketest_compilation_metrics.json (deflated 97%)
2025-11-03T16:31:54.3528321Z   adding: test/test-reports/inductor_inference_resnet50_inductor_float32_dynamic_cpu_smoketest.json (deflated 96%)
2025-11-03T16:31:54.3532874Z   adding: test/test-reports/inductor_inference_resnet50_inductor_float32_dynamic_cpu_smoketest_compilation_metrics.json (deflated 97%)
2025-11-03T16:31:54.3535305Z   adding: test/test-reports/inductor_inference_mobilenet_v3_large_inductor_float32_static_cpu_smoketest.json (deflated 96%)
2025-11-03T16:31:54.3539847Z   adding: test/test-reports/inductor_inference_mobilenet_v3_large_inductor_float32_static_cpu_smoketest_compilation_metrics.json (deflated 97%)
2025-11-03T16:31:54.3542340Z   adding: test/test-reports/inductor_inference_functorch_maml_omniglot_inductor_float32_dynamic_cpu_smoketest.json (deflated 96%)
2025-11-03T16:31:54.3546816Z   adding: test/test-reports/inductor_inference_functorch_maml_omniglot_inductor_float32_dynamic_cpu_smoketest_compilation_metrics.json (deflated 97%)
2025-11-03T16:31:54.3549192Z   adding: test/test-reports/inductor_inference_yolov3_export-aot-inductor_float32_static_cpu_smoketest.json (deflated 96%)
2025-11-03T16:31:54.3552596Z   adding: test/test-reports/inductor_inference_yolov3_export-aot-inductor_float32_static_cpu_smoketest_compilation_metrics.json (deflated 97%)
2025-11-03T16:31:54.3555013Z   adding: test/test-reports/inductor_inference_mobilenet_v2_export-aot-inductor_float32_static_cpu_smoketest.json (deflated 96%)
2025-11-03T16:31:54.3558402Z   adding: test/test-reports/inductor_inference_mobilenet_v2_export-aot-inductor_float32_static_cpu_smoketest_compilation_metrics.json (deflated 97%)
2025-11-03T16:31:54.3560795Z   adding: test/test-reports/inductor_inference_resnext50_32x4d_export-aot-inductor_float32_dynamic_cpu_smoketest.json (deflated 96%)
2025-11-03T16:31:54.3563937Z   adding: test/test-reports/inductor_inference_resnext50_32x4d_export-aot-inductor_float32_dynamic_cpu_smoketest_compilation_metrics.json (deflated 97%)
2025-11-03T16:31:54.3566168Z   adding: test/test-reports/inductor_inference_resnext50_32x4d_inductor_amp_static_cpu_smoketest.json (deflated 96%)
2025-11-03T16:31:54.3570539Z   adding: test/test-reports/inductor_inference_resnext50_32x4d_inductor_amp_static_cpu_smoketest_compilation_metrics.json (deflated 97%)
2025-11-03T16:31:54.3572844Z   adding: test/test-reports/inductor_inference_vgg16_inductor_amp_static_cpu_smoketest.json (deflated 96%)
2025-11-03T16:31:54.3577133Z   adding: test/test-reports/inductor_inference_vgg16_inductor_amp_static_cpu_smoketest_compilation_metrics.json (deflated 97%)
2025-11-03T16:31:54.3579388Z   adding: test/test-reports/inductor_inference_llama_inductor_amp_static_cpu_smoketest.json (deflated 96%)
2025-11-03T16:31:54.3583534Z   adding: test/test-reports/inductor_inference_llama_inductor_amp_static_cpu_smoketest_compilation_metrics.json (deflated 97%)
2025-11-03T16:31:54.3585754Z   adding: test/test-reports/inductor_inference_mnasnet1_0_inductor_amp_static_cpu_smoketest.json (deflated 96%)
2025-11-03T16:31:54.3590094Z   adding: test/test-reports/inductor_inference_mnasnet1_0_inductor_amp_static_cpu_smoketest_compilation_metrics.json (deflated 97%)
2025-11-03T16:31:54.3592389Z   adding: test/test-reports/inductor_inference_densenet121_export-aot-inductor_amp_static_cpu_smoketest.json (deflated 96%)
2025-11-03T16:31:54.3595603Z   adding: test/test-reports/inductor_inference_densenet121_export-aot-inductor_amp_static_cpu_smoketest_compilation_metrics.json (deflated 97%)
2025-11-03T16:31:54.3617775Z ##[group]Run # Remove any previous test reports if they exist
2025-11-03T16:31:54.3618102Z # Remove any previous test reports if they exist
2025-11-03T16:31:54.3618333Z rm -f test-reports-*.zip
2025-11-03T16:31:54.3618625Z zip -r "test-reports-${FILE_SUFFIX}.zip" test/test-reports -i '*.xml' -i '*.csv'
2025-11-03T16:31:54.3622400Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:31:54.3622629Z env:
2025-11-03T16:31:54.3622780Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:31:54.3623141Z   DOCKER_CONTAINER_ID: b93c4138e691bca2f408fa9a1adae99b1e2a26f8a9843f4ca04c823ca1158866
2025-11-03T16:31:54.3623423Z   DEVICE_NAME: 
2025-11-03T16:31:54.3623575Z   DEVICE_TYPE: 
2025-11-03T16:31:54.3623872Z   FILE_SUFFIX: test-inductor_torchbench_cpu_smoketest_perf-1-1-linux.24xl.spr-metal_54378387671
2025-11-03T16:31:54.3624174Z ##[endgroup]
2025-11-03T16:31:54.3665500Z   adding: test/test-reports/inductor_inference_phlippe_densenet_inductor_float32_static_cpu_smoketest.csv (deflated 39%)
2025-11-03T16:31:54.3666169Z   adding: test/test-reports/inductor_inference_phlippe_densenet_inductor_float32_static_cpu_smoketest_compilation_metrics.csv (deflated 44%)
2025-11-03T16:31:54.3666764Z   adding: test/test-reports/inductor_inference_basic_gnn_edgecnn_inductor_float32_dynamic_cpu_smoketest.csv (deflated 38%)
2025-11-03T16:31:54.3667348Z   adding: test/test-reports/inductor_inference_basic_gnn_edgecnn_inductor_float32_dynamic_cpu_smoketest_compilation_metrics.csv (deflated 45%)
2025-11-03T16:31:54.3667926Z   adding: test/test-reports/inductor_inference_llama_v2_7b_16h_inductor_float32_dynamic_cpu_smoketest.csv (deflated 38%)
2025-11-03T16:31:54.3668579Z   adding: test/test-reports/inductor_inference_llama_v2_7b_16h_inductor_float32_dynamic_cpu_smoketest_compilation_metrics.csv (deflated 45%)
2025-11-03T16:31:54.3669132Z   adding: test/test-reports/inductor_inference_resnet50_inductor_float32_dynamic_cpu_smoketest.csv (deflated 38%)
2025-11-03T16:31:54.3669673Z   adding: test/test-reports/inductor_inference_resnet50_inductor_float32_dynamic_cpu_smoketest_compilation_metrics.csv (deflated 45%)
2025-11-03T16:31:54.3670234Z   adding: test/test-reports/inductor_inference_mobilenet_v3_large_inductor_float32_static_cpu_smoketest.csv (deflated 38%)
2025-11-03T16:31:54.3670810Z   adding: test/test-reports/inductor_inference_mobilenet_v3_large_inductor_float32_static_cpu_smoketest_compilation_metrics.csv (deflated 45%)
2025-11-03T16:31:54.3671401Z   adding: test/test-reports/inductor_inference_functorch_maml_omniglot_inductor_float32_dynamic_cpu_smoketest.csv (deflated 38%)
2025-11-03T16:31:54.3672017Z   adding: test/test-reports/inductor_inference_functorch_maml_omniglot_inductor_float32_dynamic_cpu_smoketest_compilation_metrics.csv (deflated 46%)
2025-11-03T16:31:54.3672632Z   adding: test/test-reports/inductor_inference_yolov3_export-aot-inductor_float32_static_cpu_smoketest.csv (deflated 38%)
2025-11-03T16:31:54.3673220Z   adding: test/test-reports/inductor_inference_yolov3_export-aot-inductor_float32_static_cpu_smoketest_compilation_metrics.csv (deflated 43%)
2025-11-03T16:31:54.3673923Z   adding: test/test-reports/inductor_inference_mobilenet_v2_export-aot-inductor_float32_static_cpu_smoketest.csv (deflated 39%)
2025-11-03T16:31:54.3674558Z   adding: test/test-reports/inductor_inference_mobilenet_v2_export-aot-inductor_float32_static_cpu_smoketest_compilation_metrics.csv (deflated 44%)
2025-11-03T16:31:54.3675187Z   adding: test/test-reports/inductor_inference_resnext50_32x4d_export-aot-inductor_float32_dynamic_cpu_smoketest.csv (deflated 39%)
2025-11-03T16:31:54.3675813Z   adding: test/test-reports/inductor_inference_resnext50_32x4d_export-aot-inductor_float32_dynamic_cpu_smoketest_compilation_metrics.csv (deflated 43%)
2025-11-03T16:31:54.3676403Z   adding: test/test-reports/inductor_inference_resnext50_32x4d_inductor_amp_static_cpu_smoketest.csv (deflated 38%)
2025-11-03T16:31:54.3676944Z   adding: test/test-reports/inductor_inference_resnext50_32x4d_inductor_amp_static_cpu_smoketest_compilation_metrics.csv (deflated 45%)
2025-11-03T16:31:54.3677462Z   adding: test/test-reports/inductor_inference_vgg16_inductor_amp_static_cpu_smoketest.csv (deflated 39%)
2025-11-03T16:31:54.3677961Z   adding: test/test-reports/inductor_inference_vgg16_inductor_amp_static_cpu_smoketest_compilation_metrics.csv (deflated 45%)
2025-11-03T16:31:54.3678460Z   adding: test/test-reports/inductor_inference_llama_inductor_amp_static_cpu_smoketest.csv (deflated 38%)
2025-11-03T16:31:54.3678960Z   adding: test/test-reports/inductor_inference_llama_inductor_amp_static_cpu_smoketest_compilation_metrics.csv (deflated 45%)
2025-11-03T16:31:54.3679512Z   adding: test/test-reports/inductor_inference_mnasnet1_0_inductor_amp_static_cpu_smoketest.csv (deflated 39%)
2025-11-03T16:31:54.3680030Z   adding: test/test-reports/inductor_inference_mnasnet1_0_inductor_amp_static_cpu_smoketest_compilation_metrics.csv (deflated 46%)
2025-11-03T16:31:54.3680589Z   adding: test/test-reports/inductor_inference_densenet121_export-aot-inductor_amp_static_cpu_smoketest.csv (deflated 39%)
2025-11-03T16:31:54.3681198Z   adding: test/test-reports/inductor_inference_densenet121_export-aot-inductor_amp_static_cpu_smoketest_compilation_metrics.csv (deflated 43%)
2025-11-03T16:31:54.3721362Z ##[group]Run # Remove any previous usage logs if they exist
2025-11-03T16:31:54.3721661Z # Remove any previous usage logs if they exist
2025-11-03T16:31:54.3721893Z rm -f logs-*.zip
2025-11-03T16:31:54.3722117Z zip "logs-${FILE_SUFFIX}.zip" 'usage_log.txt' || true
2025-11-03T16:31:54.3722436Z zip -r "logs-${FILE_SUFFIX}.zip" test/test-reports -i '*.log' || true
2025-11-03T16:31:54.3725936Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:31:54.3726237Z env:
2025-11-03T16:31:54.3726398Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:31:54.3726694Z   DOCKER_CONTAINER_ID: b93c4138e691bca2f408fa9a1adae99b1e2a26f8a9843f4ca04c823ca1158866
2025-11-03T16:31:54.3726989Z   DEVICE_NAME: 
2025-11-03T16:31:54.3727144Z   DEVICE_TYPE: 
2025-11-03T16:31:54.3727431Z   FILE_SUFFIX: test-inductor_torchbench_cpu_smoketest_perf-1-1-linux.24xl.spr-metal_54378387671
2025-11-03T16:31:54.3727743Z ##[endgroup]
2025-11-03T16:31:54.3770203Z   adding: usage_log.txt (deflated 94%)
2025-11-03T16:31:54.3777216Z 
2025-11-03T16:31:54.3777481Z zip error: Nothing to do! (logs-test-inductor_torchbench_cpu_smoketest_perf-1-1-linux.24xl.spr-metal_54378387671.zip)
2025-11-03T16:31:54.3795440Z ##[group]Run # Remove any previous debugging artifacts if they exist
2025-11-03T16:31:54.3795785Z # Remove any previous debugging artifacts if they exist
2025-11-03T16:31:54.3796027Z rm -f debug-*.zip
2025-11-03T16:31:54.3796214Z if [ -d 'test/debug' ]; then
2025-11-03T16:31:54.3796459Z   zip -r "debug-${FILE_SUFFIX}.zip" test/debug
2025-11-03T16:31:54.3796671Z fi
2025-11-03T16:31:54.3800318Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:31:54.3800553Z env:
2025-11-03T16:31:54.3800706Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:31:54.3801003Z   DOCKER_CONTAINER_ID: b93c4138e691bca2f408fa9a1adae99b1e2a26f8a9843f4ca04c823ca1158866
2025-11-03T16:31:54.3801298Z   DEVICE_NAME: 
2025-11-03T16:31:54.3801453Z   DEVICE_TYPE: 
2025-11-03T16:31:54.3801738Z   FILE_SUFFIX: test-inductor_torchbench_cpu_smoketest_perf-1-1-linux.24xl.spr-metal_54378387671
2025-11-03T16:31:54.3802052Z ##[endgroup]
2025-11-03T16:31:54.3855860Z ##[group]Run seemethere/upload-artifact-s3@v5
2025-11-03T16:31:54.3856077Z with:
2025-11-03T16:31:54.3856248Z   s3-bucket: gha-artifacts
2025-11-03T16:31:54.3856470Z   s3-prefix: pytorch/pytorch/19040285537/1/artifact

2025-11-03T16:31:54.3856696Z   retention-days: 14
2025-11-03T16:31:54.3856871Z   if-no-files-found: warn
2025-11-03T16:31:54.3857062Z   path: test-jsons-*.zip
2025-11-03T16:31:54.3857235Z   name: artifact
2025-11-03T16:31:54.3857396Z   region: us-east-1
2025-11-03T16:31:54.3857546Z env:
2025-11-03T16:31:54.3857702Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:31:54.3858001Z   DOCKER_CONTAINER_ID: b93c4138e691bca2f408fa9a1adae99b1e2a26f8a9843f4ca04c823ca1158866
2025-11-03T16:31:54.3858306Z   DEVICE_NAME: 
2025-11-03T16:31:54.3858457Z   DEVICE_TYPE: 
2025-11-03T16:31:54.3858614Z ##[endgroup]
2025-11-03T16:31:54.6304937Z NOTE: s3-prefix specified, ignoring name parameter
2025-11-03T16:31:54.6305237Z With the provided path, there will be 1 file uploaded
2025-11-03T16:31:54.6305507Z Uploading to s3 prefix: pytorch/pytorch/19040285537/1/artifact
2025-11-03T16:31:54.6335231Z Starting upload of test-jsons-test-inductor_torchbench_cpu_smoketest_perf-1-1-linux.24xl.spr-metal_54378387671.zip
2025-11-03T16:31:54.7833138Z Finished upload of test-jsons-test-inductor_torchbench_cpu_smoketest_perf-1-1-linux.24xl.spr-metal_54378387671.zip
2025-11-03T16:31:54.7971258Z ##[group]Run seemethere/upload-artifact-s3@v5
2025-11-03T16:31:54.7971464Z with:
2025-11-03T16:31:54.7971622Z   s3-bucket: gha-artifacts
2025-11-03T16:31:54.7971838Z   s3-prefix: pytorch/pytorch/19040285537/1/artifact

2025-11-03T16:31:54.7972096Z   retention-days: 14
2025-11-03T16:31:54.7972255Z   if-no-files-found: error
2025-11-03T16:31:54.7972427Z   path: test-reports-*.zip
2025-11-03T16:31:54.7972590Z   name: artifact
2025-11-03T16:31:54.7972739Z   region: us-east-1
2025-11-03T16:31:54.7972881Z env:
2025-11-03T16:31:54.7973024Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:31:54.7973307Z   DOCKER_CONTAINER_ID: b93c4138e691bca2f408fa9a1adae99b1e2a26f8a9843f4ca04c823ca1158866
2025-11-03T16:31:54.7973598Z   DEVICE_NAME: 
2025-11-03T16:31:54.7973745Z   DEVICE_TYPE: 
2025-11-03T16:31:54.7973891Z ##[endgroup]
2025-11-03T16:31:55.0501972Z NOTE: s3-prefix specified, ignoring name parameter
2025-11-03T16:31:55.0502275Z With the provided path, there will be 1 file uploaded
2025-11-03T16:31:55.0502851Z Uploading to s3 prefix: pytorch/pytorch/19040285537/1/artifact
2025-11-03T16:31:55.0531065Z Starting upload of test-reports-test-inductor_torchbench_cpu_smoketest_perf-1-1-linux.24xl.spr-metal_54378387671.zip
2025-11-03T16:31:55.1712773Z Finished upload of test-reports-test-inductor_torchbench_cpu_smoketest_perf-1-1-linux.24xl.spr-metal_54378387671.zip
2025-11-03T16:31:55.1841414Z ##[group]Run seemethere/upload-artifact-s3@v5
2025-11-03T16:31:55.1841621Z with:
2025-11-03T16:31:55.1841783Z   s3-bucket: gha-artifacts
2025-11-03T16:31:55.1841998Z   s3-prefix: pytorch/pytorch/19040285537/1/artifact

2025-11-03T16:31:55.1842212Z   retention-days: 14
2025-11-03T16:31:55.1842375Z   if-no-files-found: ignore
2025-11-03T16:31:55.1842552Z   path: logs-*.zip
2025-11-03T16:31:55.1842711Z   name: artifact
2025-11-03T16:31:55.1842861Z   region: us-east-1
2025-11-03T16:31:55.1843006Z env:
2025-11-03T16:31:55.1843149Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:31:55.1843449Z   DOCKER_CONTAINER_ID: b93c4138e691bca2f408fa9a1adae99b1e2a26f8a9843f4ca04c823ca1158866
2025-11-03T16:31:55.1843745Z   DEVICE_NAME: 
2025-11-03T16:31:55.1843888Z   DEVICE_TYPE: 
2025-11-03T16:31:55.1844032Z ##[endgroup]
2025-11-03T16:31:55.4089204Z NOTE: s3-prefix specified, ignoring name parameter
2025-11-03T16:31:55.4089531Z With the provided path, there will be 1 file uploaded
2025-11-03T16:31:55.4089809Z Uploading to s3 prefix: pytorch/pytorch/19040285537/1/artifact
2025-11-03T16:31:55.4118542Z Starting upload of logs-test-inductor_torchbench_cpu_smoketest_perf-1-1-linux.24xl.spr-metal_54378387671.zip
2025-11-03T16:31:55.5307400Z Finished upload of logs-test-inductor_torchbench_cpu_smoketest_perf-1-1-linux.24xl.spr-metal_54378387671.zip
2025-11-03T16:31:55.5437213Z ##[group]Run seemethere/upload-artifact-s3@v5
2025-11-03T16:31:55.5437443Z with:
2025-11-03T16:31:55.5437597Z   s3-bucket: gha-artifacts
2025-11-03T16:31:55.5437799Z   s3-prefix: pytorch/pytorch/19040285537/1/artifact

2025-11-03T16:31:55.5438014Z   retention-days: 14
2025-11-03T16:31:55.5438202Z   if-no-files-found: ignore
2025-11-03T16:31:55.5438378Z   path: debug-*.zip
2025-11-03T16:31:55.5438521Z   name: artifact
2025-11-03T16:31:55.5438670Z   region: us-east-1
2025-11-03T16:31:55.5438819Z env:
2025-11-03T16:31:55.5438962Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:31:55.5439241Z   DOCKER_CONTAINER_ID: b93c4138e691bca2f408fa9a1adae99b1e2a26f8a9843f4ca04c823ca1158866
2025-11-03T16:31:55.5439532Z   DEVICE_NAME: 
2025-11-03T16:31:55.5439679Z   DEVICE_TYPE: 
2025-11-03T16:31:55.5439823Z ##[endgroup]
2025-11-03T16:31:55.7584877Z No files were found with the provided path: debug-*.zip. No artifacts will be uploaded.
2025-11-03T16:31:55.7714197Z ##[group]Run # shellcheck disable=SC2156
2025-11-03T16:31:55.7714459Z # shellcheck disable=SC2156
2025-11-03T16:31:55.7714864Z find . -iname "core.[1-9]*" -exec docker exec "${DOCKER_CONTAINER_ID}" sh -c "gdb python {} -ex 'bt' -ex 'q'" \;
2025-11-03T16:31:55.7720027Z shell: /usr/bin/bash -e {0}
2025-11-03T16:31:55.7720209Z env:
2025-11-03T16:31:55.7720367Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:31:55.7720647Z   DOCKER_CONTAINER_ID: b93c4138e691bca2f408fa9a1adae99b1e2a26f8a9843f4ca04c823ca1158866
2025-11-03T16:31:55.7720942Z   DEVICE_NAME: 
2025-11-03T16:31:55.7721096Z   DEVICE_TYPE: 
2025-11-03T16:31:55.7721291Z ##[endgroup]
2025-11-03T16:31:55.9443369Z Prepare all required actions
2025-11-03T16:31:55.9443659Z Getting action download info
2025-11-03T16:31:56.0901693Z ##[group]Run ./.github/actions/upload-utilization-stats
2025-11-03T16:31:56.0901923Z with:
2025-11-03T16:31:56.0902076Z   job_id: 54378387671
2025-11-03T16:31:56.0902380Z   job_name: inductor-cpu-test / test (inductor_torchbench_cpu_smoketest_perf, 1, 1, linux.24xl.spr-metal)
2025-11-03T16:31:56.0902712Z   workflow_name: inductor
2025-11-03T16:31:56.0902887Z   workflow_run_id: 19040285537
2025-11-03T16:31:56.0903063Z   workflow_attempt: 1
2025-11-03T16:31:56.0903223Z env:
2025-11-03T16:31:56.0903369Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:31:56.0903645Z   DOCKER_CONTAINER_ID: b93c4138e691bca2f408fa9a1adae99b1e2a26f8a9843f4ca04c823ca1158866
2025-11-03T16:31:56.0903941Z   DEVICE_NAME: 
2025-11-03T16:31:56.0904094Z   DEVICE_TYPE: 
2025-11-03T16:31:56.0904240Z ##[endgroup]
2025-11-03T16:31:56.0921814Z ##[group]Run echo "workflow_id: 19040285537"
2025-11-03T16:31:56.0922081Z echo "workflow_id: 19040285537"
2025-11-03T16:31:56.0922291Z echo "workflow_attempt: 1"
2025-11-03T16:31:56.0922485Z echo "workflow_Name: inductor"
2025-11-03T16:31:56.0922683Z echo "job_id: 54378387671"
2025-11-03T16:31:56.0923030Z echo "job_name:  inductor-cpu-test / test (inductor_torchbench_cpu_smoketest_perf, 1, 1, linux.24xl.spr-metal)"
2025-11-03T16:31:56.0923383Z echo "artifact_prefix: "
2025-11-03T16:31:56.0923578Z python3 --version
2025-11-03T16:31:56.0927338Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:31:56.0927572Z env:
2025-11-03T16:31:56.0927725Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:31:56.0928001Z   DOCKER_CONTAINER_ID: b93c4138e691bca2f408fa9a1adae99b1e2a26f8a9843f4ca04c823ca1158866
2025-11-03T16:31:56.0928298Z   DEVICE_NAME: 
2025-11-03T16:31:56.0928452Z   DEVICE_TYPE: 
2025-11-03T16:31:56.0928606Z ##[endgroup]
2025-11-03T16:31:56.0945824Z workflow_id: 19040285537
2025-11-03T16:31:56.0946079Z workflow_attempt: 1
2025-11-03T16:31:56.0946261Z workflow_Name: inductor
2025-11-03T16:31:56.0946431Z job_id: 54378387671
2025-11-03T16:31:56.0946744Z job_name:  inductor-cpu-test / test (inductor_torchbench_cpu_smoketest_perf, 1, 1, linux.24xl.spr-metal)
2025-11-03T16:31:56.0947075Z artifact_prefix: 
2025-11-03T16:31:56.0957406Z Python 3.9.23
2025-11-03T16:31:56.0989096Z ##[group]Run nick-fields/retry@v3.0.0
2025-11-03T16:31:56.0989296Z with:
2025-11-03T16:31:56.0989442Z   shell: bash
2025-11-03T16:31:56.0989597Z   timeout_minutes: 5
2025-11-03T16:31:56.0989758Z   max_attempts: 5
2025-11-03T16:31:56.0989913Z   retry_wait_seconds: 30
2025-11-03T16:31:56.0990232Z   command: set -eu
python3 -m pip install python-dateutil==2.8.2 boto3==1.35.42 pandas==2.1.3 dataclasses_json==0.6.7

2025-11-03T16:31:56.0990571Z   polling_interval_seconds: 1
2025-11-03T16:31:56.0990752Z   warning_on_retry: true
2025-11-03T16:31:56.0990919Z   continue_on_error: false
2025-11-03T16:31:56.0991088Z env:
2025-11-03T16:31:56.0991239Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:31:56.0991523Z   DOCKER_CONTAINER_ID: b93c4138e691bca2f408fa9a1adae99b1e2a26f8a9843f4ca04c823ca1158866
2025-11-03T16:31:56.0991818Z   DEVICE_NAME: 
2025-11-03T16:31:56.0991967Z   DEVICE_TYPE: 
2025-11-03T16:31:56.0992106Z ##[endgroup]
2025-11-03T16:31:56.3284261Z Defaulting to user installation because normal site-packages is not writeable
2025-11-03T16:31:56.3793251Z Collecting python-dateutil==2.8.2
2025-11-03T16:31:56.3909146Z   Downloading python_dateutil-2.8.2-py2.py3-none-any.whl (247 kB)
2025-11-03T16:31:57.0301174Z Collecting boto3==1.35.42
2025-11-03T16:31:57.0325552Z   Downloading boto3-1.35.42-py3-none-any.whl (139 kB)
2025-11-03T16:31:57.3787485Z Collecting pandas==2.1.3
2025-11-03T16:31:57.3818214Z   Downloading pandas-2.1.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (12.3 MB)
2025-11-03T16:31:57.4799545Z Requirement already satisfied: dataclasses_json==0.6.7 in /home/ec2-user/.local/lib/python3.9/site-packages (0.6.7)
2025-11-03T16:31:57.4808368Z Requirement already satisfied: six>=1.5 in /usr/lib/python3.9/site-packages (from python-dateutil==2.8.2) (1.15.0)
2025-11-03T16:31:57.4838686Z Requirement already satisfied: botocore<1.36.0,>=1.35.42 in /home/ec2-user/.local/lib/python3.9/site-packages (from boto3==1.35.42) (1.35.99)
2025-11-03T16:31:57.4842302Z Requirement already satisfied: jmespath<2.0.0,>=0.7.1 in /usr/lib/python3.9/site-packages (from boto3==1.35.42) (0.10.0)
2025-11-03T16:31:57.4844788Z Requirement already satisfied: s3transfer<0.11.0,>=0.10.0 in /home/ec2-user/.local/lib/python3.9/site-packages (from boto3==1.35.42) (0.10.4)
2025-11-03T16:31:57.5447415Z Collecting tzdata>=2022.1
2025-11-03T16:31:57.5472222Z   Downloading tzdata-2025.2-py2.py3-none-any.whl (347 kB)
2025-11-03T16:31:58.1089292Z Collecting numpy<2,>=1.22.4
2025-11-03T16:31:58.1161576Z   Downloading numpy-1.26.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (18.2 MB)
2025-11-03T16:31:58.2258379Z Requirement already satisfied: pytz>=2020.1 in /usr/lib/python3.9/site-packages (from pandas==2.1.3) (2022.7.1)
2025-11-03T16:31:58.2274985Z Requirement already satisfied: marshmallow<4.0.0,>=3.18.0 in /home/ec2-user/.local/lib/python3.9/site-packages (from dataclasses_json==0.6.7) (3.26.1)
2025-11-03T16:31:58.2277828Z Requirement already satisfied: typing-inspect<1,>=0.4.0 in /home/ec2-user/.local/lib/python3.9/site-packages (from dataclasses_json==0.6.7) (0.9.0)
2025-11-03T16:31:58.2315730Z Requirement already satisfied: urllib3<1.27,>=1.25.4 in /usr/lib/python3.9/site-packages (from botocore<1.36.0,>=1.35.42->boto3==1.35.42) (1.25.10)
2025-11-03T16:31:58.2391950Z Requirement already satisfied: packaging>=17.0 in /home/ec2-user/.local/lib/python3.9/site-packages (from marshmallow<4.0.0,>=3.18.0->dataclasses_json==0.6.7) (25.0)
2025-11-03T16:31:58.2461284Z Requirement already satisfied: typing-extensions>=3.7.4 in /home/ec2-user/.local/lib/python3.9/site-packages (from typing-inspect<1,>=0.4.0->dataclasses_json==0.6.7) (4.15.0)
2025-11-03T16:31:58.2463918Z Requirement already satisfied: mypy-extensions>=0.3.0 in /home/ec2-user/.local/lib/python3.9/site-packages (from typing-inspect<1,>=0.4.0->dataclasses_json==0.6.7) (1.1.0)
2025-11-03T16:31:58.3792206Z Installing collected packages: python-dateutil, tzdata, numpy, pandas, boto3
2025-11-03T16:32:01.9005924Z   Attempting uninstall: boto3
2025-11-03T16:32:01.9006228Z     Found existing installation: boto3 1.35.33
2025-11-03T16:32:01.9063947Z     Uninstalling boto3-1.35.33:
2025-11-03T16:32:01.9072408Z       Successfully uninstalled boto3-1.35.33
2025-11-03T16:32:01.9436773Z Successfully installed boto3-1.35.42 numpy-1.26.4 pandas-2.1.3 python-dateutil-2.8.2 tzdata-2025.2
2025-11-03T16:32:02.1561622Z Command completed after 1 attempt(s).
2025-11-03T16:32:02.1605705Z ##[group]Run python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \
2025-11-03T16:32:02.1606109Z python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \
2025-11-03T16:32:02.1606425Z   --workflow-run-id "19040285537" \
2025-11-03T16:32:02.1606642Z   --workflow-name "inductor" \
2025-11-03T16:32:02.1606850Z   --workflow-run-attempt "1" \
2025-11-03T16:32:02.1607048Z   --job-id "54378387671" \
2025-11-03T16:32:02.1607390Z   --job-name "inductor-cpu-test / test (inductor_torchbench_cpu_smoketest_perf, 1, 1, linux.24xl.spr-metal)" \
2025-11-03T16:32:02.1607725Z   --local-path "" \
2025-11-03T16:32:02.1607916Z   --artifact-prefix ""
2025-11-03T16:32:02.1613054Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:32:02.1613284Z env:
2025-11-03T16:32:02.1613429Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:32:02.1613725Z   DOCKER_CONTAINER_ID: b93c4138e691bca2f408fa9a1adae99b1e2a26f8a9843f4ca04c823ca1158866
2025-11-03T16:32:02.1614025Z   DEVICE_NAME: 
2025-11-03T16:32:02.1614183Z   DEVICE_TYPE: 
2025-11-03T16:32:02.1614329Z ##[endgroup]
2025-11-03T16:32:02.8637479Z repo: pytorch/pytorch
2025-11-03T16:32:02.8638122Z Search for test log in s3 bucket: ossci-utilization
2025-11-03T16:32:02.8638514Z Downloading logs-test-inductor_torchbench_cpu_smoketest_perf-1-1-linux.24xl.spr-metal_54378387671.zip
2025-11-03T16:32:02.8639030Z extracting usage_log.txt from zip file logs-test-inductor_torchbench_cpu_smoketest_perf-1-1-linux.24xl.spr-metal_54378387671.zip
2025-11-03T16:32:02.8639433Z Converted Log Model: UtilizationMetadata:
2025-11-03T16:32:02.8640228Z  UtilizationMetadata(level='metadata', workflow_id='19040285537', job_id='54378387671', workflow_name='inductor', job_name='inductor-cpu-test / test (inductor_torchbench_cpu_smoketest_perf, 1, 1, linux.24xl.spr-metal)', usage_collect_interval=1.0, data_model_version=1.5, start_at=1762186853, gpu_count=0, cpu_count=96, gpu_type=None, error=None)
2025-11-03T16:32:02.8641057Z [Db Segments] detected pytest cmd: 27, generated segments: 27
2025-11-03T16:32:02.8641303Z [db model] Peek db timeseries 
2025-11-03T16:32:02.8641473Z :{
2025-11-03T16:32:02.8641623Z     "created_at": 1762187522,
2025-11-03T16:32:02.8641803Z     "type": "utilization",
2025-11-03T16:32:02.8641971Z     "tags": [
2025-11-03T16:32:02.8642108Z         "record"
2025-11-03T16:32:02.8642253Z     ],
2025-11-03T16:32:02.8642395Z     "time_stamp": 1762186853,
2025-11-03T16:32:02.8642572Z     "repo": "pytorch/pytorch",
2025-11-03T16:32:02.8642746Z     "workflow_id": 19040285537,
2025-11-03T16:32:02.8642921Z     "run_attempt": 1,
2025-11-03T16:32:02.8643081Z     "job_id": 54378387671,
2025-11-03T16:32:02.8643261Z     "workflow_name": "inductor",
2025-11-03T16:32:02.8643579Z     "job_name": "inductor-cpu-test / test (inductor_torchbench_cpu_smoketest_perf, 1, 1, linux.24xl.spr-metal)",
2025-11-03T16:32:02.8643897Z     "json_data": "{}"
2025-11-03T16:32:02.8644045Z }
2025-11-03T16:32:02.8644337Z Writing 1 documents to S3 ossci-utilization/util_metadata/v_1.5/pytorch/pytorch/19040285537/1/54378387671/metadata
2025-11-03T16:32:02.8644836Z Done! Finish writing document to S3 ossci-utilization/util_metadata/v_1.5/pytorch/pytorch/19040285537/1/54378387671/metadata 
2025-11-03T16:32:02.8645358Z Writing 132 documents to S3 ossci-utilization/util_timeseries/v_1.5/pytorch/pytorch/19040285537/1/54378387671/time_series
2025-11-03T16:32:02.8645876Z Done! Finish writing document to S3 ossci-utilization/util_timeseries/v_1.5/pytorch/pytorch/19040285537/1/54378387671/time_series 
2025-11-03T16:32:02.9394633Z ##[group]Run pytorch/test-infra/.github/actions/teardown-linux@main
2025-11-03T16:32:02.9394993Z with:
2025-11-03T16:32:02.9395195Z env:
2025-11-03T16:32:02.9395388Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:32:02.9395794Z   DOCKER_CONTAINER_ID: b93c4138e691bca2f408fa9a1adae99b1e2a26f8a9843f4ca04c823ca1158866
2025-11-03T16:32:02.9396203Z   DEVICE_NAME: 
2025-11-03T16:32:02.9396405Z   DEVICE_TYPE: 
2025-11-03T16:32:02.9396598Z ##[endgroup]
2025-11-03T16:32:02.9414045Z ##[group]Run set -eou pipefail
2025-11-03T16:32:02.9414404Z set -eou pipefail
2025-11-03T16:32:02.9414634Z 
2025-11-03T16:32:02.9414955Z echo "Holding runner for 2 hours until all ssh sessions have logged out"
2025-11-03T16:32:02.9415326Z for _ in $(seq 1440); do
2025-11-03T16:32:02.9415618Z     # Break if no ssh session exists anymore
2025-11-03T16:32:02.9415912Z     if [ "$(who)" = "" ]; then
2025-11-03T16:32:02.9416161Z       break
2025-11-03T16:32:02.9416404Z     fi
2025-11-03T16:32:02.9416619Z     echo "."
2025-11-03T16:32:02.9416827Z     sleep 5
2025-11-03T16:32:02.9417100Z done
2025-11-03T16:32:02.9422203Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:32:02.9422481Z env:
2025-11-03T16:32:02.9422655Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:32:02.9422996Z   DOCKER_CONTAINER_ID: b93c4138e691bca2f408fa9a1adae99b1e2a26f8a9843f4ca04c823ca1158866
2025-11-03T16:32:02.9423353Z   DEVICE_NAME: 
2025-11-03T16:32:02.9423535Z   DEVICE_TYPE: 
2025-11-03T16:32:02.9423706Z ##[endgroup]
2025-11-03T16:32:02.9442522Z Holding runner for 2 hours until all ssh sessions have logged out
2025-11-03T16:32:02.9509818Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty
2025-11-03T16:32:02.9510160Z # ignore expansion of "docker ps -q" since it could be empty
2025-11-03T16:32:02.9510422Z # shellcheck disable=SC2046
2025-11-03T16:32:02.9510649Z docker stop $(docker ps -q) || true
2025-11-03T16:32:02.9510853Z # Prune all of the docker images
2025-11-03T16:32:02.9511057Z docker system prune -af
2025-11-03T16:32:02.9515144Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:32:02.9515369Z env:
2025-11-03T16:32:02.9515513Z   GIT_DEFAULT_BRANCH: main
2025-11-03T16:32:02.9515798Z   DOCKER_CONTAINER_ID: b93c4138e691bca2f408fa9a1adae99b1e2a26f8a9843f4ca04c823ca1158866
2025-11-03T16:32:02.9516093Z   DEVICE_NAME: 
2025-11-03T16:32:02.9516242Z   DEVICE_TYPE: 
2025-11-03T16:32:02.9516378Z ##[endgroup]
2025-11-03T16:32:13.8842478Z b93c4138e691
2025-11-03T16:32:14.2360010Z Deleted Containers:
2025-11-03T16:32:14.2360346Z b93c4138e691bca2f408fa9a1adae99b1e2a26f8a9843f4ca04c823ca1158866
2025-11-03T16:32:14.2360557Z 
2025-11-03T16:32:20.5618794Z Deleted Images:
2025-11-03T16:32:20.5619432Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-30147fb242f88ab8f13e14b76ab186d189d8605c
2025-11-03T16:32:20.5620192Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image@sha256:882a19f24dba11c5445e0a3a1cb4ef199b1740a1ba310ace5991cb025e30be3b
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2025-11-03T16:32:20.5650213Z 
2025-11-03T16:32:20.5650305Z Total reclaimed space: 55.84GB
2025-11-03T16:32:20.5723272Z Post job cleanup.
2025-11-03T16:32:20.5760951Z Post job cleanup.
2025-11-03T16:32:20.6474892Z [command]/usr/bin/git version
2025-11-03T16:32:20.6503180Z git version 2.50.1
2025-11-03T16:32:20.6526817Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/3c16137f-f579-4d79-b863-dadbc9ed2313/.gitconfig'
2025-11-03T16:32:20.6532715Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/3c16137f-f579-4d79-b863-dadbc9ed2313' before making global git config changes
2025-11-03T16:32:20.6533242Z Adding repository directory to the temporary git global config as a safe directory
2025-11-03T16:32:20.6536251Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-11-03T16:32:20.6568528Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
2025-11-03T16:32:20.6597999Z [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' || :"
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2025-11-03T16:32:21.0567712Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
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2025-11-03T16:32:21.5029087Z Entering 'third_party/pybind11'
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2025-11-03T16:32:21.5194226Z Entering 'third_party/tensorpipe'
2025-11-03T16:32:21.5225250Z http.https://github.com/.extraheader
2025-11-03T16:32:21.5253353Z Entering 'third_party/tensorpipe/third_party/googletest'
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2025-11-03T16:32:21.5472328Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-11-03T16:32:21.5500477Z http.https://github.com/.extraheader
2025-11-03T16:32:21.5610241Z A job completed hook has been configured by the self-hosted runner administrator
2025-11-03T16:32:21.5636719Z ##[group]Run '/home/ec2-user/runner-scripts/after_job.sh'
2025-11-03T16:32:21.5639880Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-11-03T16:32:21.5640130Z ##[endgroup]
2025-11-03T16:32:21.5711016Z [!ALERT!] Swap in detected! [!ALERT!]
2025-11-03T16:32:28.7493405Z [!ALERT!] Swap out detected [!ALERT!]
2025-11-03T16:32:41.0564645Z Cleaning up orphan processes