2025-08-14T21:16:56.2820235Z Current runner version: '2.328.0'
2025-08-14T21:16:56.2824384Z Runner name: 'i-0b6e368a8d2412e8c'
2025-08-14T21:16:56.2824955Z Runner group name: 'default'
2025-08-14T21:16:56.2825683Z Machine name: 'ip-10-0-71-126'
2025-08-14T21:16:56.2827734Z ##[group]GITHUB_TOKEN Permissions
2025-08-14T21:16:56.2829428Z Contents: read
2025-08-14T21:16:56.2829831Z Metadata: read
2025-08-14T21:16:56.2830238Z ##[endgroup]
2025-08-14T21:16:56.2831998Z Secret source: Actions
2025-08-14T21:16:56.2832492Z Prepare workflow directory
2025-08-14T21:16:56.3175867Z Prepare all required actions
2025-08-14T21:16:56.3206046Z Getting action download info
2025-08-14T21:16:56.6021270Z Download action repository 'pytorch/test-infra@main' (SHA:83f58f391e939c10dcb8cb6d745e4cefa3b98a84)
2025-08-14T21:16:57.9092086Z Download action repository 'pytorch/pytorch@main' (SHA:3be70dc30e893b552fc0f23ca06cd8f7949b6d08)
2025-08-14T21:17:10.2590515Z Download action repository 'actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065' (SHA:a26af69be951a213d495a4c3e4e4022e16d87065)
2025-08-14T21:17:10.5735268Z Download action repository 'aws-actions/configure-aws-credentials@ececac1a45f3b08a01d2dd070d28d111c5fe6722' (SHA:ececac1a45f3b08a01d2dd070d28d111c5fe6722)
2025-08-14T21:17:10.8614834Z Download action repository 'aws-actions/amazon-ecr-login@062b18b96a7aff071d4dc91bc00c4c1a7945b076' (SHA:062b18b96a7aff071d4dc91bc00c4c1a7945b076)
2025-08-14T21:17:11.0287538Z Download action repository 'seemethere/upload-artifact-s3@baba72d0712b404f646cebe0730933554ebce96a' (SHA:baba72d0712b404f646cebe0730933554ebce96a)
2025-08-14T21:17:11.2971538Z Getting action download info
2025-08-14T21:17:11.4392808Z Download action repository 'actions/checkout@v4' (SHA:08eba0b27e820071cde6df949e0beb9ba4906955)
2025-08-14T21:17:11.6836847Z Getting action download info
2025-08-14T21:17:11.7939148Z Download action repository 'nick-fields/retry@v3.0.0' (SHA:7152eba30c6575329ac0576536151aca5a72780e)
2025-08-14T21:17:11.9606693Z Getting action download info
2025-08-14T21:17:12.0678150Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482)
2025-08-14T21:17:12.4355661Z Getting action download info
2025-08-14T21:17:12.5547409Z Uses: pytorch/pytorch/.github/workflows/_linux-test.yml@refs/heads/main (1fc683cf17c8c673044538d10266c00f92987be2)
2025-08-14T21:17:12.5550461Z ##[group] Inputs
2025-08-14T21:17:12.5550795Z   build-environment: linux-jammy-py3.9-gcc11-build
2025-08-14T21:17:12.5552476Z   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"}]}
2025-08-14T21:17:12.5554339Z   docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T21:17:12.5554958Z   sync-tag: 
2025-08-14T21:17:12.5555491Z   timeout-minutes: 240
2025-08-14T21:17:12.5555713Z   use-gha: 
2025-08-14T21:17:12.5555970Z   dashboard-tag: 
2025-08-14T21:17:12.5556176Z   s3-bucket: gha-artifacts
2025-08-14T21:17:12.5556479Z   aws-role-to-assume: 
2025-08-14T21:17:12.5556922Z   disable-monitor: false
2025-08-14T21:17:12.5557154Z   monitor-log-interval: 5
2025-08-14T21:17:12.5557618Z   monitor-data-collect-interval: 1
2025-08-14T21:17:12.5557993Z ##[endgroup]
2025-08-14T21:17:12.5558422Z Complete job name: linux-jammy-cpu-py3.9-gcc11-inductor / test (inductor_torchbench_cpu_smoketest_perf, 1, 1, linux.24xl.spr-metal)
2025-08-14T21:17:12.6182609Z A job started hook has been configured by the self-hosted runner administrator
2025-08-14T21:17:12.6251745Z ##[group]Run '/home/ec2-user/runner-scripts/before_job.sh'
2025-08-14T21:17:12.6257708Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T21:17:12.6373355Z ##[endgroup]
2025-08-14T21:17:13.5211406Z Runner Type: linux.24xl.spr-metal
2025-08-14T21:17:13.5242934Z Instance Type: c7i.metal-24xl
2025-08-14T21:17:13.5243137Z AMI Name: unknown
2025-08-14T21:17:13.5243303Z AMI ID: ami-05ffe3c48a9991133
2025-08-14T21:17:17.0924756Z ##[group]Run pytorch/test-infra/.github/actions/setup-ssh@main
2025-08-14T21:17:17.0925053Z with:
2025-08-14T21:17:17.0925597Z   github-secret: ***
2025-08-14T21:17:17.0926018Z   instructions: All testing is done inside the container, to start an interactive session run:
  docker exec -it $(docker container ps --format '{{.ID}}') bash

2025-08-14T21:17:17.0926469Z   activate-with-label: false
2025-08-14T21:17:17.0926657Z   label: with-ssh
2025-08-14T21:17:17.0926826Z   remove-existing-keys: true
2025-08-14T21:17:17.0926997Z   fail-silently: true
2025-08-14T21:17:17.0927160Z env:
2025-08-14T21:17:17.0927304Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:17:17.0927476Z ##[endgroup]
2025-08-14T21:17:17.2046843Z Please see https://github.com/pytorch/pytorch/wiki/Debugging-using-with-ssh-for-Github-Actions for more info.
2025-08-14T21:17:17.2047526Z Not on pull request and ciflow reference could not be extracted, skipping adding ssh keys
2025-08-14T21:17:17.2161185Z ##[group]Run pytorch/pytorch/.github/actions/checkout-pytorch@main
2025-08-14T21:17:17.2161459Z with:
2025-08-14T21:17:17.2161607Z   no-sudo: true
2025-08-14T21:17:17.2161760Z   submodules: recursive
2025-08-14T21:17:17.2161935Z   fetch-depth: 0
2025-08-14T21:17:17.2162088Z env:
2025-08-14T21:17:17.2162225Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:17:17.2162408Z ##[endgroup]
2025-08-14T21:17:17.2224060Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-08-14T21:17:17.2224606Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-08-14T21:17:17.2232296Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T21:17:17.2232527Z env:
2025-08-14T21:17:17.2232692Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:17:17.2232909Z ##[endgroup]
2025-08-14T21:17:17.2302659Z ##[group]Run # Use all available CPUs for fetching
2025-08-14T21:17:17.2302956Z # Use all available CPUs for fetching
2025-08-14T21:17:17.2303167Z cd "${GITHUB_WORKSPACE}"
2025-08-14T21:17:17.2303390Z git config --global fetch.parallel 0
2025-08-14T21:17:17.2303636Z git config --global submodule.fetchJobs 0
2025-08-14T21:17:17.2303858Z 
2025-08-14T21:17:17.2304161Z # Clean workspace. The default checkout action should also do this, but
2025-08-14T21:17:17.2304466Z # do it here as well just in case
2025-08-14T21:17:17.2304679Z if [[ -d .git ]]; then
2025-08-14T21:17:17.2304871Z   if [ -z "${NO_SUDO}" ]; then
2025-08-14T21:17:17.2305065Z     sudo git clean -ffdx
2025-08-14T21:17:17.2305250Z   else
2025-08-14T21:17:17.2305418Z     git clean -ffdx
2025-08-14T21:17:17.2305583Z   fi
2025-08-14T21:17:17.2305734Z fi
2025-08-14T21:17:17.2309779Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T21:17:17.2310007Z env:
2025-08-14T21:17:17.2310160Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:17:17.2310337Z   NO_SUDO: true
2025-08-14T21:17:17.2310490Z ##[endgroup]
2025-08-14T21:17:17.2399543Z ##[group]Run actions/checkout@v4
2025-08-14T21:17:17.2399741Z with:
2025-08-14T21:17:17.2399908Z   ref: 1fc683cf17c8c673044538d10266c00f92987be2
2025-08-14T21:17:17.2400265Z   fetch-depth: 0
2025-08-14T21:17:17.2400421Z   submodules: recursive
2025-08-14T21:17:17.2400594Z   show-progress: false
2025-08-14T21:17:17.2400764Z   repository: pytorch/pytorch
2025-08-14T21:17:17.2401013Z   token: ***
2025-08-14T21:17:17.2401156Z   ssh-strict: true
2025-08-14T21:17:17.2401309Z   ssh-user: git
2025-08-14T21:17:17.2401469Z   persist-credentials: true
2025-08-14T21:17:17.2401632Z   clean: true
2025-08-14T21:17:17.2401797Z   sparse-checkout-cone-mode: true
2025-08-14T21:17:17.2401984Z   fetch-tags: false
2025-08-14T21:17:17.2402124Z   lfs: false
2025-08-14T21:17:17.2402271Z   set-safe-directory: true
2025-08-14T21:17:17.2402447Z env:
2025-08-14T21:17:17.2402587Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:17:17.2402752Z ##[endgroup]
2025-08-14T21:17:17.3211481Z Syncing repository: pytorch/pytorch
2025-08-14T21:17:17.3212450Z ##[group]Getting Git version info
2025-08-14T21:17:17.3212762Z Working directory is '/home/ec2-user/actions-runner/_work/pytorch/pytorch'
2025-08-14T21:17:17.3213207Z [command]/usr/bin/git version
2025-08-14T21:17:17.3481750Z git version 2.47.1
2025-08-14T21:17:17.3498842Z ##[endgroup]
2025-08-14T21:17:17.3507168Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/506b3378-32ef-4651-9c30-ccce1edd68cb/.gitconfig'
2025-08-14T21:17:17.3525569Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/506b3378-32ef-4651-9c30-ccce1edd68cb' before making global git config changes
2025-08-14T21:17:17.3526126Z Adding repository directory to the temporary git global config as a safe directory
2025-08-14T21:17:17.3529169Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-08-14T21:17:17.3565079Z Deleting the contents of '/home/ec2-user/actions-runner/_work/pytorch/pytorch'
2025-08-14T21:17:17.3567128Z ##[group]Initializing the repository
2025-08-14T21:17:17.3570172Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-08-14T21:17:17.3614976Z hint: Using 'master' as the name for the initial branch. This default branch name
2025-08-14T21:17:17.3615320Z hint: is subject to change. To configure the initial branch name to use in all
2025-08-14T21:17:17.3615642Z hint: of your new repositories, which will suppress this warning, call:
2025-08-14T21:17:17.3615894Z hint:
2025-08-14T21:17:17.3616101Z hint: 	git config --global init.defaultBranch <name>
2025-08-14T21:17:17.3616321Z hint:
2025-08-14T21:17:17.3616539Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and
2025-08-14T21:17:17.3616877Z hint: 'development'. The just-created branch can be renamed via this command:
2025-08-14T21:17:17.3617136Z hint:
2025-08-14T21:17:17.3617285Z hint: 	git branch -m <name>
2025-08-14T21:17:17.3641836Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/
2025-08-14T21:17:17.3647991Z [command]/usr/bin/git remote add origin https://github.com/pytorch/pytorch
2025-08-14T21:17:17.3682048Z ##[endgroup]
2025-08-14T21:17:17.3682359Z ##[group]Disabling automatic garbage collection
2025-08-14T21:17:17.3685717Z [command]/usr/bin/git config --local gc.auto 0
2025-08-14T21:17:17.3706196Z ##[endgroup]
2025-08-14T21:17:17.3706456Z ##[group]Setting up auth
2025-08-14T21:17:17.3711106Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
2025-08-14T21:17:17.3732592Z [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' || :"
2025-08-14T21:17:17.3996362Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
2025-08-14T21:17:17.4018069Z [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' || :"
2025-08-14T21:17:17.4295796Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic ***
2025-08-14T21:17:17.4332927Z ##[endgroup]
2025-08-14T21:17:17.4333267Z ##[group]Fetching the repository
2025-08-14T21:17:17.4338694Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/*
2025-08-14T21:17:58.3462001Z From https://github.com/pytorch/pytorch
2025-08-14T21:17:58.3462379Z  * [new branch]              2.6.0.dev20241004+          -> origin/2.6.0.dev20241004+
2025-08-14T21:17:58.3462866Z  * [new branch]              5addvllmbuild               -> origin/5addvllmbuild
2025-08-14T21:17:58.3463247Z  * [new branch]              AaronWang04_addmmfusion_perftest -> origin/AaronWang04_addmmfusion_perftest
2025-08-14T21:17:58.3463634Z  * [new branch]              HDCharles-2.6.0-release-notes -> origin/HDCharles-2.6.0-release-notes
2025-08-14T21:17:58.3464038Z  * [new branch]              JackCaoG/dynamo_make_fx_non_core_aten_ops -> origin/JackCaoG/dynamo_make_fx_non_core_aten_ops
2025-08-14T21:17:58.3464449Z  * [new branch]              PR-AOTInductorNoneBug       -> origin/PR-AOTInductorNoneBug
2025-08-14T21:17:58.3464802Z  * [new branch]              PR-AOTInductorNoneBugFix    -> origin/PR-AOTInductorNoneBugFix
2025-08-14T21:17:58.3465135Z  * [new branch]              PR-FixConfigsIssue          -> origin/PR-FixConfigsIssue
2025-08-14T21:17:58.3465451Z  * [new branch]              PR-NoneBugFix-viable        -> origin/PR-NoneBugFix-viable
2025-08-14T21:17:58.3465768Z  * [new branch]              PR-ResetToZero              -> origin/PR-ResetToZero
2025-08-14T21:17:58.3466839Z  * [new branch]              Update-Flash-Packaging      -> origin/Update-Flash-Packaging
2025-08-14T21:17:58.3467266Z  * [new branch]              add-missing-args-normalization -> origin/add-missing-args-normalization
2025-08-14T21:17:58.3467649Z  * [new branch]              add-user-guide-structure    -> origin/add-user-guide-structure
2025-08-14T21:17:58.3467969Z  * [new branch]              addVllmPin                  -> origin/addVllmPin
2025-08-14T21:17:58.3468271Z  * [new branch]              add_windows_testing_back    -> origin/add_windows_testing_back
2025-08-14T21:17:58.3468567Z  * [new branch]              addbuildvllm                -> origin/addbuildvllm
2025-08-14T21:17:58.3468868Z  * [new branch]              addmm-heuristic             -> origin/addmm-heuristic
2025-08-14T21:17:58.3469149Z  * [new branch]              addsimde                    -> origin/addsimde
2025-08-14T21:17:58.3470166Z  * [new branch]              addvllpinnedfile            -> origin/addvllpinnedfile
2025-08-14T21:17:58.3470574Z  * [new branch]              adi/acl_upgrade             -> origin/adi/acl_upgrade
2025-08-14T21:17:58.3471055Z  * [new branch]              adi/skip_slow_tests         -> origin/adi/skip_slow_tests
2025-08-14T21:17:58.3471865Z  * [new branch]              adi/test                    -> origin/adi/test
2025-08-14T21:17:58.3472338Z  * [new branch]              adi/test_bgemm              -> origin/adi/test_bgemm
2025-08-14T21:17:58.3472866Z  * [new branch]              adi/test_fusions            -> origin/adi/test_fusions
2025-08-14T21:17:58.3473394Z  * [new branch]              adi/test_onednn_v3.9        -> origin/adi/test_onednn_v3.9
2025-08-14T21:17:58.3473971Z  * [new branch]              adi/test_presve_change      -> origin/adi/test_presve_change
2025-08-14T21:17:58.3474465Z  * [new branch]              adi/test_timm               -> origin/adi/test_timm
2025-08-14T21:17:58.3475311Z  * [new branch]              adi/testpresve_change       -> origin/adi/testpresve_change
2025-08-14T21:17:58.3476807Z  * [new branch]              aditew01/test/vec_bf16      -> origin/aditew01/test/vec_bf16
2025-08-14T21:17:58.3477151Z  * [new branch]              ah-globalfeedback-hook      -> origin/ah-globalfeedback-hook
2025-08-14T21:17:58.3477568Z  * [new branch]              albanD-patch-1              -> origin/albanD-patch-1
2025-08-14T21:17:58.3478148Z  * [new branch]              alt-disable                 -> origin/alt-disable
2025-08-14T21:17:58.3479133Z  * [new branch]              angelayi/aoti_additional_files -> origin/angelayi/aoti_additional_files
2025-08-14T21:17:58.3479561Z  * [new branch]              angelayi/aoti_inductor_fx   -> origin/angelayi/aoti_inductor_fx
2025-08-14T21:17:58.3480227Z  * [new branch]              angelayi/assert_tensor_metadata_device -> origin/angelayi/assert_tensor_metadata_device
2025-08-14T21:17:58.3480670Z  * [new branch]              angelayi/benchmark          -> origin/angelayi/benchmark
2025-08-14T21:17:58.3481451Z  * [new branch]              angelayi/benchmark2         -> origin/angelayi/benchmark2
2025-08-14T21:17:58.3482131Z  * [new branch]              angelayi/change_pytree_serialization -> origin/angelayi/change_pytree_serialization
2025-08-14T21:17:58.3482759Z  * [new branch]              angelayi/cpp_loader         -> origin/angelayi/cpp_loader
2025-08-14T21:17:58.3483598Z  * [new branch]              angelayi/custom_op_subgraph -> origin/angelayi/custom_op_subgraph
2025-08-14T21:17:58.3484055Z  * [new branch]              angelayi/customop           -> origin/angelayi/customop
2025-08-14T21:17:58.3484610Z  * [new branch]              angelayi/del_lib            -> origin/angelayi/del_lib
2025-08-14T21:17:58.3485132Z  * [new branch]              angelayi/docs               -> origin/angelayi/docs
2025-08-14T21:17:58.3485687Z  * [new branch]              angelayi/docs2              -> origin/angelayi/docs2
2025-08-14T21:17:58.3486243Z  * [new branch]              angelayi/fix_pt2            -> origin/angelayi/fix_pt2
2025-08-14T21:17:58.3486957Z  * [new branch]              angelayi/logging.bak        -> origin/angelayi/logging.bak
2025-08-14T21:17:58.3487368Z  * [new branch]              angelayi/logging2           -> origin/angelayi/logging2
2025-08-14T21:17:58.3487937Z  * [new branch]              angelayi/no_so_weight       -> origin/angelayi/no_so_weight
2025-08-14T21:17:58.3488503Z  * [new branch]              angelayi/pytree             -> origin/angelayi/pytree
2025-08-14T21:17:58.3489028Z  * [new branch]              angelayi/save_error         -> origin/angelayi/save_error
2025-08-14T21:17:58.3489578Z  * [new branch]              angelayi/scan_layers        -> origin/angelayi/scan_layers
2025-08-14T21:17:58.3490281Z  * [new branch]              angelayi/symint_input       -> origin/angelayi/symint_input
2025-08-14T21:17:58.3490816Z  * [new branch]              angelayi/tensor_nn_module_meta -> origin/angelayi/tensor_nn_module_meta
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2025-08-14T21:17:58.6523352Z  * [new tag]                 ciflow/inductor-rocm/151845 -> ciflow/inductor-rocm/151845
2025-08-14T21:17:58.6523647Z  * [new tag]                 ciflow/inductor-rocm/159158 -> ciflow/inductor-rocm/159158
2025-08-14T21:17:58.6524243Z  * [new tag]                 ciflow/inductor-rocm/160073 -> ciflow/inductor-rocm/160073
2025-08-14T21:17:58.6524405Z  * [new tag]                 ciflow/inductor-rocm/160538 -> ciflow/inductor-rocm/160538
2025-08-14T21:17:58.6524829Z  * [new tag]                 ciflow/inductor/134881      -> ciflow/inductor/134881
2025-08-14T21:17:58.6525114Z  * [new tag]                 ciflow/inductor/137400      -> ciflow/inductor/137400
2025-08-14T21:17:58.6525443Z  * [new tag]                 ciflow/inductor/144516      -> ciflow/inductor/144516
2025-08-14T21:17:58.6525787Z  * [new tag]                 ciflow/inductor/146506      -> ciflow/inductor/146506
2025-08-14T21:17:58.6526084Z  * [new tag]                 ciflow/inductor/147360      -> ciflow/inductor/147360
2025-08-14T21:17:58.6526420Z  * [new tag]                 ciflow/inductor/147990      -> ciflow/inductor/147990
2025-08-14T21:17:58.6526762Z  * [new tag]                 ciflow/inductor/148180      -> ciflow/inductor/148180
2025-08-14T21:17:58.6527057Z  * [new tag]                 ciflow/inductor/148328      -> ciflow/inductor/148328
2025-08-14T21:17:58.6527397Z  * [new tag]                 ciflow/inductor/148484      -> ciflow/inductor/148484
2025-08-14T21:17:58.6527702Z  * [new tag]                 ciflow/inductor/148492      -> ciflow/inductor/148492
2025-08-14T21:17:58.6528054Z  * [new tag]                 ciflow/inductor/150302      -> ciflow/inductor/150302
2025-08-14T21:17:58.6528611Z  * [new tag]                 ciflow/inductor/151845      -> ciflow/inductor/151845
2025-08-14T21:17:58.6528981Z  * [new tag]                 ciflow/inductor/152198      -> ciflow/inductor/152198
2025-08-14T21:17:58.6529327Z  * [new tag]                 ciflow/inductor/152624      -> ciflow/inductor/152624
2025-08-14T21:17:58.6529700Z  * [new tag]                 ciflow/inductor/153966      -> ciflow/inductor/153966
2025-08-14T21:17:58.6530100Z  * [new tag]                 ciflow/inductor/154193      -> ciflow/inductor/154193
2025-08-14T21:17:58.6530449Z  * [new tag]                 ciflow/inductor/154650      -> ciflow/inductor/154650
2025-08-14T21:17:58.6530799Z  * [new tag]                 ciflow/inductor/154694      -> ciflow/inductor/154694
2025-08-14T21:17:58.6531115Z  * [new tag]                 ciflow/inductor/155072      -> ciflow/inductor/155072
2025-08-14T21:17:58.6531470Z  * [new tag]                 ciflow/inductor/155152      -> ciflow/inductor/155152
2025-08-14T21:17:58.6531777Z  * [new tag]                 ciflow/inductor/155153      -> ciflow/inductor/155153
2025-08-14T21:17:58.6532131Z  * [new tag]                 ciflow/inductor/155154      -> ciflow/inductor/155154
2025-08-14T21:17:58.6532483Z  * [new tag]                 ciflow/inductor/155501      -> ciflow/inductor/155501
2025-08-14T21:17:58.6532853Z  * [new tag]                 ciflow/inductor/155502      -> ciflow/inductor/155502
2025-08-14T21:17:58.6533256Z  * [new tag]                 ciflow/inductor/155503      -> ciflow/inductor/155503
2025-08-14T21:17:58.6534034Z  * [new tag]                 ciflow/inductor/155504      -> ciflow/inductor/155504
2025-08-14T21:17:58.6534368Z  * [new tag]                 ciflow/inductor/155557      -> ciflow/inductor/155557
2025-08-14T21:17:58.6534669Z  * [new tag]                 ciflow/inductor/155608      -> ciflow/inductor/155608
2025-08-14T21:17:58.6535082Z  * [new tag]                 ciflow/inductor/155923      -> ciflow/inductor/155923
2025-08-14T21:17:58.6535466Z  * [new tag]                 ciflow/inductor/155928      -> ciflow/inductor/155928
2025-08-14T21:17:58.6535838Z  * [new tag]                 ciflow/inductor/155958      -> ciflow/inductor/155958
2025-08-14T21:17:58.6536219Z  * [new tag]                 ciflow/inductor/156049      -> ciflow/inductor/156049
2025-08-14T21:17:58.6536544Z  * [new tag]                 ciflow/inductor/156851      -> ciflow/inductor/156851
2025-08-14T21:17:58.6536885Z  * [new tag]                 ciflow/inductor/156967      -> ciflow/inductor/156967
2025-08-14T21:17:58.6537187Z  * [new tag]                 ciflow/inductor/157148      -> ciflow/inductor/157148
2025-08-14T21:17:58.6537556Z  * [new tag]                 ciflow/inductor/157149      -> ciflow/inductor/157149
2025-08-14T21:17:58.6537861Z  * [new tag]                 ciflow/inductor/157152      -> ciflow/inductor/157152
2025-08-14T21:17:58.6538177Z  * [new tag]                 ciflow/inductor/157542      -> ciflow/inductor/157542
2025-08-14T21:17:58.6538530Z  * [new tag]                 ciflow/inductor/157572      -> ciflow/inductor/157572
2025-08-14T21:17:58.6538835Z  * [new tag]                 ciflow/inductor/157635      -> ciflow/inductor/157635
2025-08-14T21:17:58.6539189Z  * [new tag]                 ciflow/inductor/157685      -> ciflow/inductor/157685
2025-08-14T21:17:58.6539507Z  * [new tag]                 ciflow/inductor/157686      -> ciflow/inductor/157686
2025-08-14T21:17:58.6539839Z  * [new tag]                 ciflow/inductor/157689      -> ciflow/inductor/157689
2025-08-14T21:17:58.6540156Z  * [new tag]                 ciflow/inductor/157699      -> ciflow/inductor/157699
2025-08-14T21:17:58.6540566Z  * [new tag]                 ciflow/inductor/157743      -> ciflow/inductor/157743
2025-08-14T21:17:58.6540898Z  * [new tag]                 ciflow/inductor/157944      -> ciflow/inductor/157944
2025-08-14T21:17:58.6541233Z  * [new tag]                 ciflow/inductor/157971      -> ciflow/inductor/157971
2025-08-14T21:17:58.6541651Z  * [new tag]                 ciflow/inductor/157994      -> ciflow/inductor/157994
2025-08-14T21:17:58.6541959Z  * [new tag]                 ciflow/inductor/158061      -> ciflow/inductor/158061
2025-08-14T21:17:58.6542326Z  * [new tag]                 ciflow/inductor/158091      -> ciflow/inductor/158091
2025-08-14T21:17:58.6542650Z  * [new tag]                 ciflow/inductor/158097      -> ciflow/inductor/158097
2025-08-14T21:17:58.6542981Z  * [new tag]                 ciflow/inductor/158098      -> ciflow/inductor/158098
2025-08-14T21:17:58.6543331Z  * [new tag]                 ciflow/inductor/158104      -> ciflow/inductor/158104
2025-08-14T21:17:58.6543762Z  * [new tag]                 ciflow/inductor/158168      -> ciflow/inductor/158168
2025-08-14T21:17:58.6544180Z  * [new tag]                 ciflow/inductor/158250      -> ciflow/inductor/158250
2025-08-14T21:17:58.6544490Z  * [new tag]                 ciflow/inductor/158321      -> ciflow/inductor/158321
2025-08-14T21:17:58.6544837Z  * [new tag]                 ciflow/inductor/158609      -> ciflow/inductor/158609
2025-08-14T21:17:58.6545200Z  * [new tag]                 ciflow/inductor/158647      -> ciflow/inductor/158647
2025-08-14T21:17:58.6545525Z  * [new tag]                 ciflow/inductor/158914      -> ciflow/inductor/158914
2025-08-14T21:17:58.6546067Z  * [new tag]                 ciflow/inductor/158932      -> ciflow/inductor/158932
2025-08-14T21:17:58.6546309Z  * [new tag]                 ciflow/inductor/158987      -> ciflow/inductor/158987
2025-08-14T21:17:58.6546740Z  * [new tag]                 ciflow/inductor/159009      -> ciflow/inductor/159009
2025-08-14T21:17:58.6547078Z  * [new tag]                 ciflow/inductor/159010      -> ciflow/inductor/159010
2025-08-14T21:17:58.6547424Z  * [new tag]                 ciflow/inductor/159093      -> ciflow/inductor/159093
2025-08-14T21:17:58.6547781Z  * [new tag]                 ciflow/inductor/159158      -> ciflow/inductor/159158
2025-08-14T21:17:58.6548089Z  * [new tag]                 ciflow/inductor/159197      -> ciflow/inductor/159197
2025-08-14T21:17:58.6548634Z  * [new tag]                 ciflow/inductor/159274      -> ciflow/inductor/159274
2025-08-14T21:17:58.6548867Z  * [new tag]                 ciflow/inductor/159281      -> ciflow/inductor/159281
2025-08-14T21:17:58.6549216Z  * [new tag]                 ciflow/inductor/159329      -> ciflow/inductor/159329
2025-08-14T21:17:58.6549547Z  * [new tag]                 ciflow/inductor/159361      -> ciflow/inductor/159361
2025-08-14T21:17:58.6549915Z  * [new tag]                 ciflow/inductor/159365      -> ciflow/inductor/159365
2025-08-14T21:17:58.6550207Z  * [new tag]                 ciflow/inductor/159366      -> ciflow/inductor/159366
2025-08-14T21:17:58.6550572Z  * [new tag]                 ciflow/inductor/159367      -> ciflow/inductor/159367
2025-08-14T21:17:58.6550899Z  * [new tag]                 ciflow/inductor/159368      -> ciflow/inductor/159368
2025-08-14T21:17:58.6551291Z  * [new tag]                 ciflow/inductor/159473      -> ciflow/inductor/159473
2025-08-14T21:17:58.6551649Z  * [new tag]                 ciflow/inductor/159483      -> ciflow/inductor/159483
2025-08-14T21:17:58.6551941Z  * [new tag]                 ciflow/inductor/159508      -> ciflow/inductor/159508
2025-08-14T21:17:58.6552288Z  * [new tag]                 ciflow/inductor/159523      -> ciflow/inductor/159523
2025-08-14T21:17:58.6552656Z  * [new tag]                 ciflow/inductor/159678      -> ciflow/inductor/159678
2025-08-14T21:17:58.6553003Z  * [new tag]                 ciflow/inductor/159691      -> ciflow/inductor/159691
2025-08-14T21:17:58.6553408Z  * [new tag]                 ciflow/inductor/159778      -> ciflow/inductor/159778
2025-08-14T21:17:58.6553761Z  * [new tag]                 ciflow/inductor/159786      -> ciflow/inductor/159786
2025-08-14T21:17:58.6554089Z  * [new tag]                 ciflow/inductor/159817      -> ciflow/inductor/159817
2025-08-14T21:17:58.6554632Z  * [new tag]                 ciflow/inductor/159842      -> ciflow/inductor/159842
2025-08-14T21:17:58.6554907Z  * [new tag]                 ciflow/inductor/159864      -> ciflow/inductor/159864
2025-08-14T21:17:58.6555202Z  * [new tag]                 ciflow/inductor/159865      -> ciflow/inductor/159865
2025-08-14T21:17:58.6555528Z  * [new tag]                 ciflow/inductor/159869      -> ciflow/inductor/159869
2025-08-14T21:17:58.6555882Z  * [new tag]                 ciflow/inductor/159875      -> ciflow/inductor/159875
2025-08-14T21:17:58.6556266Z  * [new tag]                 ciflow/inductor/159889      -> ciflow/inductor/159889
2025-08-14T21:17:58.6556951Z  * [new tag]                 ciflow/inductor/159902      -> ciflow/inductor/159902
2025-08-14T21:17:58.6557368Z  * [new tag]                 ciflow/inductor/159923      -> ciflow/inductor/159923
2025-08-14T21:17:58.6557751Z  * [new tag]                 ciflow/inductor/159944      -> ciflow/inductor/159944
2025-08-14T21:17:58.6558087Z  * [new tag]                 ciflow/inductor/160004      -> ciflow/inductor/160004
2025-08-14T21:17:58.6558507Z  * [new tag]                 ciflow/inductor/160080      -> ciflow/inductor/160080
2025-08-14T21:17:58.6558841Z  * [new tag]                 ciflow/inductor/160108      -> ciflow/inductor/160108
2025-08-14T21:17:58.6559179Z  * [new tag]                 ciflow/inductor/160109      -> ciflow/inductor/160109
2025-08-14T21:17:58.6559765Z  * [new tag]                 ciflow/inductor/160111      -> ciflow/inductor/160111
2025-08-14T21:17:58.6559941Z  * [new tag]                 ciflow/inductor/160113      -> ciflow/inductor/160113
2025-08-14T21:17:58.6560291Z  * [new tag]                 ciflow/inductor/160127      -> ciflow/inductor/160127
2025-08-14T21:17:58.6560676Z  * [new tag]                 ciflow/inductor/160131      -> ciflow/inductor/160131
2025-08-14T21:17:58.6560975Z  * [new tag]                 ciflow/inductor/160132      -> ciflow/inductor/160132
2025-08-14T21:17:58.6561347Z  * [new tag]                 ciflow/inductor/160136      -> ciflow/inductor/160136
2025-08-14T21:17:58.6561649Z  * [new tag]                 ciflow/inductor/160138      -> ciflow/inductor/160138
2025-08-14T21:17:58.6562007Z  * [new tag]                 ciflow/inductor/160151      -> ciflow/inductor/160151
2025-08-14T21:17:58.6562316Z  * [new tag]                 ciflow/inductor/160152      -> ciflow/inductor/160152
2025-08-14T21:17:58.6562649Z  * [new tag]                 ciflow/inductor/160154      -> ciflow/inductor/160154
2025-08-14T21:17:58.6563008Z  * [new tag]                 ciflow/inductor/160156      -> ciflow/inductor/160156
2025-08-14T21:17:58.6563404Z  * [new tag]                 ciflow/inductor/160161      -> ciflow/inductor/160161
2025-08-14T21:17:58.6563846Z  * [new tag]                 ciflow/inductor/160166      -> ciflow/inductor/160166
2025-08-14T21:17:58.6564161Z  * [new tag]                 ciflow/inductor/160168      -> ciflow/inductor/160168
2025-08-14T21:17:58.6564520Z  * [new tag]                 ciflow/inductor/160174      -> ciflow/inductor/160174
2025-08-14T21:17:58.6564891Z  * [new tag]                 ciflow/inductor/160181      -> ciflow/inductor/160181
2025-08-14T21:17:58.6565389Z  * [new tag]                 ciflow/inductor/160183      -> ciflow/inductor/160183
2025-08-14T21:17:58.6565812Z  * [new tag]                 ciflow/inductor/160190      -> ciflow/inductor/160190
2025-08-14T21:17:58.6566340Z  * [new tag]                 ciflow/inductor/160198      -> ciflow/inductor/160198
2025-08-14T21:17:58.6566718Z  * [new tag]                 ciflow/inductor/160201      -> ciflow/inductor/160201
2025-08-14T21:17:58.6567028Z  * [new tag]                 ciflow/inductor/160209      -> ciflow/inductor/160209
2025-08-14T21:17:58.6567592Z  * [new tag]                 ciflow/inductor/160218      -> ciflow/inductor/160218
2025-08-14T21:17:58.6567900Z  * [new tag]                 ciflow/inductor/160239      -> ciflow/inductor/160239
2025-08-14T21:17:58.6568226Z  * [new tag]                 ciflow/inductor/160250      -> ciflow/inductor/160250
2025-08-14T21:17:58.6568594Z  * [new tag]                 ciflow/inductor/160253      -> ciflow/inductor/160253
2025-08-14T21:17:58.6568973Z  * [new tag]                 ciflow/inductor/160266      -> ciflow/inductor/160266
2025-08-14T21:17:58.6569279Z  * [new tag]                 ciflow/inductor/160282      -> ciflow/inductor/160282
2025-08-14T21:17:58.6569660Z  * [new tag]                 ciflow/inductor/160298      -> ciflow/inductor/160298
2025-08-14T21:17:58.6574064Z  * [new tag]                 ciflow/inductor/160301      -> ciflow/inductor/160301
2025-08-14T21:17:58.6574629Z  * [new tag]                 ciflow/inductor/160310      -> ciflow/inductor/160310
2025-08-14T21:17:58.6574923Z  * [new tag]                 ciflow/inductor/160323      -> ciflow/inductor/160323
2025-08-14T21:17:58.6575552Z  * [new tag]                 ciflow/inductor/160324      -> ciflow/inductor/160324
2025-08-14T21:17:58.6575924Z  * [new tag]                 ciflow/inductor/160325      -> ciflow/inductor/160325
2025-08-14T21:17:58.6576403Z  * [new tag]                 ciflow/inductor/160326      -> ciflow/inductor/160326
2025-08-14T21:17:58.6576797Z  * [new tag]                 ciflow/inductor/160327      -> ciflow/inductor/160327
2025-08-14T21:17:58.6577156Z  * [new tag]                 ciflow/inductor/160328      -> ciflow/inductor/160328
2025-08-14T21:17:58.6577817Z  * [new tag]                 ciflow/inductor/160329      -> ciflow/inductor/160329
2025-08-14T21:17:58.6578087Z  * [new tag]                 ciflow/inductor/160351      -> ciflow/inductor/160351
2025-08-14T21:17:58.6578365Z  * [new tag]                 ciflow/inductor/160353      -> ciflow/inductor/160353
2025-08-14T21:17:58.6578687Z  * [new tag]                 ciflow/inductor/160362      -> ciflow/inductor/160362
2025-08-14T21:17:58.6579035Z  * [new tag]                 ciflow/inductor/160363      -> ciflow/inductor/160363
2025-08-14T21:17:58.6579433Z  * [new tag]                 ciflow/inductor/160364      -> ciflow/inductor/160364
2025-08-14T21:17:58.6579721Z  * [new tag]                 ciflow/inductor/160365      -> ciflow/inductor/160365
2025-08-14T21:17:58.6580049Z  * [new tag]                 ciflow/inductor/160366      -> ciflow/inductor/160366
2025-08-14T21:17:58.6580398Z  * [new tag]                 ciflow/inductor/160367      -> ciflow/inductor/160367
2025-08-14T21:17:58.6580840Z  * [new tag]                 ciflow/inductor/160368      -> ciflow/inductor/160368
2025-08-14T21:17:58.6581207Z  * [new tag]                 ciflow/inductor/160369      -> ciflow/inductor/160369
2025-08-14T21:17:58.6581522Z  * [new tag]                 ciflow/inductor/160371      -> ciflow/inductor/160371
2025-08-14T21:17:58.6581866Z  * [new tag]                 ciflow/inductor/160374      -> ciflow/inductor/160374
2025-08-14T21:17:58.6582220Z  * [new tag]                 ciflow/inductor/160375      -> ciflow/inductor/160375
2025-08-14T21:17:58.6582518Z  * [new tag]                 ciflow/inductor/160377      -> ciflow/inductor/160377
2025-08-14T21:17:58.6582962Z  * [new tag]                 ciflow/inductor/160380      -> ciflow/inductor/160380
2025-08-14T21:17:58.6583487Z  * [new tag]                 ciflow/inductor/160381      -> ciflow/inductor/160381
2025-08-14T21:17:58.6583973Z  * [new tag]                 ciflow/inductor/160383      -> ciflow/inductor/160383
2025-08-14T21:17:58.6584395Z  * [new tag]                 ciflow/inductor/160394      -> ciflow/inductor/160394
2025-08-14T21:17:58.6584724Z  * [new tag]                 ciflow/inductor/160401      -> ciflow/inductor/160401
2025-08-14T21:17:58.6585066Z  * [new tag]                 ciflow/inductor/160402      -> ciflow/inductor/160402
2025-08-14T21:17:58.6585736Z  * [new tag]                 ciflow/inductor/160403      -> ciflow/inductor/160403
2025-08-14T21:17:58.6586028Z  * [new tag]                 ciflow/inductor/160424      -> ciflow/inductor/160424
2025-08-14T21:17:58.6586359Z  * [new tag]                 ciflow/inductor/160426      -> ciflow/inductor/160426
2025-08-14T21:17:58.6586970Z  * [new tag]                 ciflow/inductor/160431      -> ciflow/inductor/160431
2025-08-14T21:17:58.6587299Z  * [new tag]                 ciflow/inductor/160448      -> ciflow/inductor/160448
2025-08-14T21:17:58.6587664Z  * [new tag]                 ciflow/inductor/160450      -> ciflow/inductor/160450
2025-08-14T21:17:58.6588016Z  * [new tag]                 ciflow/inductor/160455      -> ciflow/inductor/160455
2025-08-14T21:17:58.6588574Z  * [new tag]                 ciflow/inductor/160456      -> ciflow/inductor/160456
2025-08-14T21:17:58.6588907Z  * [new tag]                 ciflow/inductor/160461      -> ciflow/inductor/160461
2025-08-14T21:17:58.6589241Z  * [new tag]                 ciflow/inductor/160462      -> ciflow/inductor/160462
2025-08-14T21:17:58.6589594Z  * [new tag]                 ciflow/inductor/160467      -> ciflow/inductor/160467
2025-08-14T21:17:58.6589948Z  * [new tag]                 ciflow/inductor/160470      -> ciflow/inductor/160470
2025-08-14T21:17:58.6590276Z  * [new tag]                 ciflow/inductor/160473      -> ciflow/inductor/160473
2025-08-14T21:17:58.6590612Z  * [new tag]                 ciflow/inductor/160476      -> ciflow/inductor/160476
2025-08-14T21:17:58.6590943Z  * [new tag]                 ciflow/inductor/160480      -> ciflow/inductor/160480
2025-08-14T21:17:58.6591364Z  * [new tag]                 ciflow/inductor/160481      -> ciflow/inductor/160481
2025-08-14T21:17:58.6591754Z  * [new tag]                 ciflow/inductor/160482      -> ciflow/inductor/160482
2025-08-14T21:17:58.6592153Z  * [new tag]                 ciflow/inductor/160483      -> ciflow/inductor/160483
2025-08-14T21:17:58.6592464Z  * [new tag]                 ciflow/inductor/160485      -> ciflow/inductor/160485
2025-08-14T21:17:58.6593025Z  * [new tag]                 ciflow/inductor/160486      -> ciflow/inductor/160486
2025-08-14T21:17:58.6593304Z  * [new tag]                 ciflow/inductor/160503      -> ciflow/inductor/160503
2025-08-14T21:17:58.6593605Z  * [new tag]                 ciflow/inductor/160510      -> ciflow/inductor/160510
2025-08-14T21:17:58.6593937Z  * [new tag]                 ciflow/inductor/160527      -> ciflow/inductor/160527
2025-08-14T21:17:58.6594322Z  * [new tag]                 ciflow/inductor/160530      -> ciflow/inductor/160530
2025-08-14T21:17:58.6594621Z  * [new tag]                 ciflow/inductor/160531      -> ciflow/inductor/160531
2025-08-14T21:17:58.6594997Z  * [new tag]                 ciflow/inductor/160538      -> ciflow/inductor/160538
2025-08-14T21:17:58.6595874Z  * [new tag]                 ciflow/inductor/160539      -> ciflow/inductor/160539
2025-08-14T21:17:58.6596497Z  * [new tag]                 ciflow/inductor/160540      -> ciflow/inductor/160540
2025-08-14T21:17:58.6596684Z  * [new tag]                 ciflow/inductor/160548      -> ciflow/inductor/160548
2025-08-14T21:17:58.6597071Z  * [new tag]                 ciflow/inductor/160561      -> ciflow/inductor/160561
2025-08-14T21:17:58.6597476Z  * [new tag]                 ciflow/inductor/160576      -> ciflow/inductor/160576
2025-08-14T21:17:58.6597828Z  * [new tag]                 ciflow/inductor/160578      -> ciflow/inductor/160578
2025-08-14T21:17:58.6598182Z  * [new tag]                 ciflow/inductor/160580      -> ciflow/inductor/160580
2025-08-14T21:17:58.6598553Z  * [new tag]                 ciflow/inductor/160583      -> ciflow/inductor/160583
2025-08-14T21:17:58.6598976Z  * [new tag]                 ciflow/inductor/160589      -> ciflow/inductor/160589
2025-08-14T21:17:58.6599366Z  * [new tag]                 ciflow/inductor/160590      -> ciflow/inductor/160590
2025-08-14T21:17:58.6599972Z  * [new tag]                 ciflow/inductor/160592      -> ciflow/inductor/160592
2025-08-14T21:17:58.6600229Z  * [new tag]                 ciflow/inductor/160596      -> ciflow/inductor/160596
2025-08-14T21:17:58.6600583Z  * [new tag]                 ciflow/inductor/160601      -> ciflow/inductor/160601
2025-08-14T21:17:58.6601024Z  * [new tag]                 ciflow/inductor/160607      -> ciflow/inductor/160607
2025-08-14T21:17:58.6601510Z  * [new tag]                 ciflow/inductor/160608      -> ciflow/inductor/160608
2025-08-14T21:17:58.6601790Z  * [new tag]                 ciflow/inductor/160611      -> ciflow/inductor/160611
2025-08-14T21:17:58.6602155Z  * [new tag]                 ciflow/inductor/160614      -> ciflow/inductor/160614
2025-08-14T21:17:58.6602487Z  * [new tag]                 ciflow/inductor/160616      -> ciflow/inductor/160616
2025-08-14T21:17:58.6602848Z  * [new tag]                 ciflow/inductor/160619      -> ciflow/inductor/160619
2025-08-14T21:17:58.6603183Z  * [new tag]                 ciflow/inductor/160625      -> ciflow/inductor/160625
2025-08-14T21:17:58.6603735Z  * [new tag]                 ciflow/inductor/160635      -> ciflow/inductor/160635
2025-08-14T21:17:58.6604141Z  * [new tag]                 ciflow/inductor/160649      -> ciflow/inductor/160649
2025-08-14T21:17:58.6604494Z  * [new tag]                 ciflow/inductor/160658      -> ciflow/inductor/160658
2025-08-14T21:17:58.6604822Z  * [new tag]                 ciflow/inductor/160662      -> ciflow/inductor/160662
2025-08-14T21:17:58.6605144Z  * [new tag]                 ciflow/inductor/160668      -> ciflow/inductor/160668
2025-08-14T21:17:58.6605521Z  * [new tag]                 ciflow/inductor/160669      -> ciflow/inductor/160669
2025-08-14T21:17:58.6605864Z  * [new tag]                 ciflow/inductor/160670      -> ciflow/inductor/160670
2025-08-14T21:17:58.6606376Z  * [new tag]                 ciflow/inductor/160671      -> ciflow/inductor/160671
2025-08-14T21:17:58.6606713Z  * [new tag]                 ciflow/inductor/160677      -> ciflow/inductor/160677
2025-08-14T21:17:58.6607089Z  * [new tag]                 ciflow/inductor/160679      -> ciflow/inductor/160679
2025-08-14T21:17:58.6607540Z  * [new tag]                 ciflow/inductor/3b9a386     -> ciflow/inductor/3b9a386
2025-08-14T21:17:58.6608104Z  * [new tag]                 ciflow/inductor/3d4b92b     -> ciflow/inductor/3d4b92b
2025-08-14T21:17:58.6608428Z  * [new tag]                 ciflow/inductor/d224ac7     -> ciflow/inductor/d224ac7
2025-08-14T21:17:58.6609003Z  * [new tag]                 ciflow/linux-aarch64/147855 -> ciflow/linux-aarch64/147855
2025-08-14T21:17:58.6609225Z  * [new tag]                 ciflow/linux-aarch64/157994 -> ciflow/linux-aarch64/157994
2025-08-14T21:17:58.6609555Z  * [new tag]                 ciflow/linux-aarch64/159737 -> ciflow/linux-aarch64/159737
2025-08-14T21:17:58.6609854Z  * [new tag]                 ciflow/linux-aarch64/160078 -> ciflow/linux-aarch64/160078
2025-08-14T21:17:58.6610181Z  * [new tag]                 ciflow/linux-aarch64/160299 -> ciflow/linux-aarch64/160299
2025-08-14T21:17:58.6610558Z  * [new tag]                 ciflow/linux-aarch64/160301 -> ciflow/linux-aarch64/160301
2025-08-14T21:17:58.6610936Z  * [new tag]                 ciflow/mps/155923           -> ciflow/mps/155923
2025-08-14T21:17:58.6611293Z  * [new tag]                 ciflow/mps/157553           -> ciflow/mps/157553
2025-08-14T21:17:58.6611590Z  * [new tag]                 ciflow/mps/157635           -> ciflow/mps/157635
2025-08-14T21:17:58.6611920Z  * [new tag]                 ciflow/mps/160541           -> ciflow/mps/160541
2025-08-14T21:17:58.6612356Z  * [new tag]                 ciflow/nightly/156049       -> ciflow/nightly/156049
2025-08-14T21:17:58.6612713Z  * [new tag]                 ciflow/nightly/158104       -> ciflow/nightly/158104
2025-08-14T21:17:58.6613124Z  * [new tag]                 ciflow/op-benchmark/157994  -> ciflow/op-benchmark/157994
2025-08-14T21:17:58.6613566Z  * [new tag]                 ciflow/periodic-rocm-mi300/139971 -> ciflow/periodic-rocm-mi300/139971
2025-08-14T21:17:58.6613900Z  * [new tag]                 ciflow/periodic-rocm-mi300/160073 -> ciflow/periodic-rocm-mi300/160073
2025-08-14T21:17:58.6614251Z  * [new tag]                 ciflow/periodic-rocm-mi300/160538 -> ciflow/periodic-rocm-mi300/160538
2025-08-14T21:17:58.6614816Z  * [new tag]                 ciflow/periodic/054a2fd     -> ciflow/periodic/054a2fd
2025-08-14T21:17:58.6615119Z  * [new tag]                 ciflow/periodic/131296      -> ciflow/periodic/131296
2025-08-14T21:17:58.6615459Z  * [new tag]                 ciflow/periodic/139971      -> ciflow/periodic/139971
2025-08-14T21:17:58.6615775Z  * [new tag]                 ciflow/periodic/143959      -> ciflow/periodic/143959
2025-08-14T21:17:58.6616119Z  * [new tag]                 ciflow/periodic/154595      -> ciflow/periodic/154595
2025-08-14T21:17:58.6616411Z  * [new tag]                 ciflow/periodic/156703      -> ciflow/periodic/156703
2025-08-14T21:17:58.6616731Z  * [new tag]                 ciflow/periodic/160201      -> ciflow/periodic/160201
2025-08-14T21:17:58.6617076Z  * [new tag]                 ciflow/periodic/160424      -> ciflow/periodic/160424
2025-08-14T21:17:58.6617404Z  * [new tag]                 ciflow/periodic/160538      -> ciflow/periodic/160538
2025-08-14T21:17:58.6618377Z  * [new tag]                 ciflow/periodic/1febab2a89302464f6c7d69cfbef7a24c421ea65 -> ciflow/periodic/1febab2a89302464f6c7d69cfbef7a24c421ea65
2025-08-14T21:17:58.6618715Z  * [new tag]                 ciflow/periodic/2a6d37d     -> ciflow/periodic/2a6d37d
2025-08-14T21:17:58.6619424Z  * [new tag]                 ciflow/periodic/2ee22e435131369a7e4f8cc4732579acc29a941b -> ciflow/periodic/2ee22e435131369a7e4f8cc4732579acc29a941b
2025-08-14T21:17:58.6619659Z  * [new tag]                 ciflow/periodic/317eeb8     -> ciflow/periodic/317eeb8
2025-08-14T21:17:58.6620026Z  * [new tag]                 ciflow/periodic/3c32        -> ciflow/periodic/3c32
2025-08-14T21:17:58.6620575Z  * [new tag]                 ciflow/periodic/3e98831     -> ciflow/periodic/3e98831
2025-08-14T21:17:58.6621093Z  * [new tag]                 ciflow/periodic/4a773e1e867f28a8ff0b15203e5cd9548f74fcee -> ciflow/periodic/4a773e1e867f28a8ff0b15203e5cd9548f74fcee
2025-08-14T21:17:58.6621639Z  * [new tag]                 ciflow/periodic/5f5f508aa836a46dfe88857fb223049616b94e93 -> ciflow/periodic/5f5f508aa836a46dfe88857fb223049616b94e93
2025-08-14T21:17:58.6622007Z  * [new tag]                 ciflow/periodic/94512-point -> ciflow/periodic/94512-point
2025-08-14T21:17:58.6622703Z  * [new tag]                 ciflow/periodic/csl/test87519 -> ciflow/periodic/csl/test87519
2025-08-14T21:17:58.6623077Z  * [new tag]                 ciflow/periodic/csltest88275 -> ciflow/periodic/csltest88275
2025-08-14T21:17:58.6623490Z  * [new tag]                 ciflow/periodic/csltest88761 -> ciflow/periodic/csltest88761
2025-08-14T21:17:58.6624278Z  * [new tag]                 ciflow/periodic/d7114f05b10de8e6de81ffc567d63944c3117d51 -> ciflow/periodic/d7114f05b10de8e6de81ffc567d63944c3117d51
2025-08-14T21:17:58.6624542Z  * [new tag]                 ciflow/periodic/release_1.12 -> ciflow/periodic/release_1.12
2025-08-14T21:17:58.6625168Z  * [new tag]                 ciflow/periodic/release_1.12.0 -> ciflow/periodic/release_1.12.0
2025-08-14T21:17:58.6625673Z  * [new tag]                 ciflow/periodic/sha-ec5b83  -> ciflow/periodic/sha-ec5b83
2025-08-14T21:17:58.6626171Z  * [new tag]                 ciflow/rocm-mi300/151360    -> ciflow/rocm-mi300/151360
2025-08-14T21:17:58.6626487Z  * [new tag]                 ciflow/rocm-mi300/159158    -> ciflow/rocm-mi300/159158
2025-08-14T21:17:58.6626777Z  * [new tag]                 ciflow/rocm-mi300/160073    -> ciflow/rocm-mi300/160073
2025-08-14T21:17:58.6627215Z  * [new tag]                 ciflow/rocm-mi300/160468    -> ciflow/rocm-mi300/160468
2025-08-14T21:17:58.6627540Z  * [new tag]                 ciflow/rocm-mi300/160538    -> ciflow/rocm-mi300/160538
2025-08-14T21:17:58.6628254Z  * [new tag]                 ciflow/rocm-mi355/160215    -> ciflow/rocm-mi355/160215
2025-08-14T21:17:58.6628554Z  * [new tag]                 ciflow/rocm/148492          -> ciflow/rocm/148492
2025-08-14T21:17:58.6628885Z  * [new tag]                 ciflow/rocm/151360          -> ciflow/rocm/151360
2025-08-14T21:17:58.6629223Z  * [new tag]                 ciflow/rocm/151845          -> ciflow/rocm/151845
2025-08-14T21:17:58.6629586Z  * [new tag]                 ciflow/rocm/154864          -> ciflow/rocm/154864
2025-08-14T21:17:58.6629972Z  * [new tag]                 ciflow/rocm/156491          -> ciflow/rocm/156491
2025-08-14T21:17:58.6630336Z  * [new tag]                 ciflow/rocm/158219          -> ciflow/rocm/158219
2025-08-14T21:17:58.6630610Z  * [new tag]                 ciflow/rocm/158220          -> ciflow/rocm/158220
2025-08-14T21:17:58.6630979Z  * [new tag]                 ciflow/rocm/158224          -> ciflow/rocm/158224
2025-08-14T21:17:58.6631263Z  * [new tag]                 ciflow/rocm/159158          -> ciflow/rocm/159158
2025-08-14T21:17:58.6631549Z  * [new tag]                 ciflow/rocm/160215          -> ciflow/rocm/160215
2025-08-14T21:17:58.6631891Z  * [new tag]                 ciflow/rocm/160468          -> ciflow/rocm/160468
2025-08-14T21:17:58.6632437Z  * [new tag]                 ciflow/rocm/160538          -> ciflow/rocm/160538
2025-08-14T21:17:58.6632772Z  * [new tag]                 ciflow/s390/143959          -> ciflow/s390/143959
2025-08-14T21:17:58.6633363Z  * [new tag]                 ciflow/slow/01c7106         -> ciflow/slow/01c7106
2025-08-14T21:17:58.6633738Z  * [new tag]                 ciflow/slow/0577043         -> ciflow/slow/0577043
2025-08-14T21:17:58.6634459Z  * [new tag]                 ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym -> ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym
2025-08-14T21:17:58.6634658Z  * [new tag]                 ciflow/slow/0e81104         -> ciflow/slow/0e81104
2025-08-14T21:17:58.6634906Z  * [new tag]                 ciflow/slow/154595          -> ciflow/slow/154595
2025-08-14T21:17:58.6635351Z  * [new tag]                 ciflow/slow/1732077         -> ciflow/slow/1732077
2025-08-14T21:17:58.6635988Z  * [new tag]                 ciflow/slow/187eb7c         -> ciflow/slow/187eb7c
2025-08-14T21:17:58.6636270Z  * [new tag]                 ciflow/slow/1faef89         -> ciflow/slow/1faef89
2025-08-14T21:17:58.6636864Z  * [new tag]                 ciflow/slow/3920ec1         -> ciflow/slow/3920ec1
2025-08-14T21:17:58.6637268Z  * [new tag]                 ciflow/slow/3b7c6b2         -> ciflow/slow/3b7c6b2
2025-08-14T21:17:58.6637818Z  * [new tag]                 ciflow/slow/59a3759         -> ciflow/slow/59a3759
2025-08-14T21:17:58.6638155Z  * [new tag]                 ciflow/slow/70ef0bb         -> ciflow/slow/70ef0bb
2025-08-14T21:17:58.6638566Z  * [new tag]                 ciflow/slow/788ff06         -> ciflow/slow/788ff06
2025-08-14T21:17:58.6639341Z  * [new tag]                 ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym -> ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym
2025-08-14T21:17:58.6639894Z  * [new tag]                 ciflow/slow/9d85864         -> ciflow/slow/9d85864
2025-08-14T21:17:58.6640342Z  * [new tag]                 ciflow/slow/9ffad5b         -> ciflow/slow/9ffad5b
2025-08-14T21:17:58.6640764Z  * [new tag]                 ciflow/slow/a206e8b         -> ciflow/slow/a206e8b
2025-08-14T21:17:58.6641187Z  * [new tag]                 ciflow/slow/a837609         -> ciflow/slow/a837609
2025-08-14T21:17:58.6641728Z  * [new tag]                 ciflow/slow/af841f3         -> ciflow/slow/af841f3
2025-08-14T21:17:58.6642446Z  * [new tag]                 ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym -> ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym
2025-08-14T21:17:58.6642619Z  * [new tag]                 ciflow/trunk/131296         -> ciflow/trunk/131296
2025-08-14T21:17:58.6642914Z  * [new tag]                 ciflow/trunk/137400         -> ciflow/trunk/137400
2025-08-14T21:17:58.6643271Z  * [new tag]                 ciflow/trunk/138996         -> ciflow/trunk/138996
2025-08-14T21:17:58.6643584Z  * [new tag]                 ciflow/trunk/139971         -> ciflow/trunk/139971
2025-08-14T21:17:58.6643897Z  * [new tag]                 ciflow/trunk/147360         -> ciflow/trunk/147360
2025-08-14T21:17:58.6644201Z  * [new tag]                 ciflow/trunk/147855         -> ciflow/trunk/147855
2025-08-14T21:17:58.6644489Z  * [new tag]                 ciflow/trunk/148180         -> ciflow/trunk/148180
2025-08-14T21:17:58.6644817Z  * [new tag]                 ciflow/trunk/148328         -> ciflow/trunk/148328
2025-08-14T21:17:58.6645171Z  * [new tag]                 ciflow/trunk/148492         -> ciflow/trunk/148492
2025-08-14T21:17:58.6645534Z  * [new tag]                 ciflow/trunk/150282         -> ciflow/trunk/150282
2025-08-14T21:17:58.6645871Z  * [new tag]                 ciflow/trunk/150302         -> ciflow/trunk/150302
2025-08-14T21:17:58.6646275Z  * [new tag]                 ciflow/trunk/151845         -> ciflow/trunk/151845
2025-08-14T21:17:58.6646870Z  * [new tag]                 ciflow/trunk/152624         -> ciflow/trunk/152624
2025-08-14T21:17:58.6647168Z  * [new tag]                 ciflow/trunk/154193         -> ciflow/trunk/154193
2025-08-14T21:17:58.6647540Z  * [new tag]                 ciflow/trunk/154595         -> ciflow/trunk/154595
2025-08-14T21:17:58.6647860Z  * [new tag]                 ciflow/trunk/154650         -> ciflow/trunk/154650
2025-08-14T21:17:58.6648212Z  * [new tag]                 ciflow/trunk/154694         -> ciflow/trunk/154694
2025-08-14T21:17:58.6648560Z  * [new tag]                 ciflow/trunk/155958         -> ciflow/trunk/155958
2025-08-14T21:17:58.6648866Z  * [new tag]                 ciflow/trunk/156049         -> ciflow/trunk/156049
2025-08-14T21:17:58.6649237Z  * [new tag]                 ciflow/trunk/156703         -> ciflow/trunk/156703
2025-08-14T21:17:58.6649521Z  * [new tag]                 ciflow/trunk/156851         -> ciflow/trunk/156851
2025-08-14T21:17:58.6649950Z  * [new tag]                 ciflow/trunk/157148         -> ciflow/trunk/157148
2025-08-14T21:17:58.6650305Z  * [new tag]                 ciflow/trunk/157152         -> ciflow/trunk/157152
2025-08-14T21:17:58.6650600Z  * [new tag]                 ciflow/trunk/157432         -> ciflow/trunk/157432
2025-08-14T21:17:58.6651028Z  * [new tag]                 ciflow/trunk/157685         -> ciflow/trunk/157685
2025-08-14T21:17:58.6651357Z  * [new tag]                 ciflow/trunk/157689         -> ciflow/trunk/157689
2025-08-14T21:17:58.6651688Z  * [new tag]                 ciflow/trunk/157699         -> ciflow/trunk/157699
2025-08-14T21:17:58.6652016Z  * [new tag]                 ciflow/trunk/157813         -> ciflow/trunk/157813
2025-08-14T21:17:58.6652361Z  * [new tag]                 ciflow/trunk/157994         -> ciflow/trunk/157994
2025-08-14T21:17:58.6652721Z  * [new tag]                 ciflow/trunk/158091         -> ciflow/trunk/158091
2025-08-14T21:17:58.6653027Z  * [new tag]                 ciflow/trunk/158104         -> ciflow/trunk/158104
2025-08-14T21:17:58.6653343Z  * [new tag]                 ciflow/trunk/158219         -> ciflow/trunk/158219
2025-08-14T21:17:58.6653691Z  * [new tag]                 ciflow/trunk/158220         -> ciflow/trunk/158220
2025-08-14T21:17:58.6654059Z  * [new tag]                 ciflow/trunk/158224         -> ciflow/trunk/158224
2025-08-14T21:17:58.6654433Z  * [new tag]                 ciflow/trunk/158529         -> ciflow/trunk/158529
2025-08-14T21:17:58.6654759Z  * [new tag]                 ciflow/trunk/158647         -> ciflow/trunk/158647
2025-08-14T21:17:58.6655086Z  * [new tag]                 ciflow/trunk/158810         -> ciflow/trunk/158810
2025-08-14T21:17:58.6655403Z  * [new tag]                 ciflow/trunk/158812         -> ciflow/trunk/158812
2025-08-14T21:17:58.6655755Z  * [new tag]                 ciflow/trunk/158863         -> ciflow/trunk/158863
2025-08-14T21:17:58.6656104Z  * [new tag]                 ciflow/trunk/158864         -> ciflow/trunk/158864
2025-08-14T21:17:58.6656449Z  * [new tag]                 ciflow/trunk/158883         -> ciflow/trunk/158883
2025-08-14T21:17:58.6656766Z  * [new tag]                 ciflow/trunk/158914         -> ciflow/trunk/158914
2025-08-14T21:17:58.6657098Z  * [new tag]                 ciflow/trunk/158965         -> ciflow/trunk/158965
2025-08-14T21:17:58.6657458Z  * [new tag]                 ciflow/trunk/158987         -> ciflow/trunk/158987
2025-08-14T21:17:58.6657956Z  * [new tag]                 ciflow/trunk/159033         -> ciflow/trunk/159033
2025-08-14T21:17:58.6658331Z  * [new tag]                 ciflow/trunk/159140         -> ciflow/trunk/159140
2025-08-14T21:17:58.6659045Z  * [new tag]                 ciflow/trunk/159158         -> ciflow/trunk/159158
2025-08-14T21:17:58.6659357Z  * [new tag]                 ciflow/trunk/159553         -> ciflow/trunk/159553
2025-08-14T21:17:58.6659676Z  * [new tag]                 ciflow/trunk/159562         -> ciflow/trunk/159562
2025-08-14T21:17:58.6660099Z  * [new tag]                 ciflow/trunk/159682         -> ciflow/trunk/159682
2025-08-14T21:17:58.6660419Z  * [new tag]                 ciflow/trunk/159691         -> ciflow/trunk/159691
2025-08-14T21:17:58.6660760Z  * [new tag]                 ciflow/trunk/159842         -> ciflow/trunk/159842
2025-08-14T21:17:58.6661113Z  * [new tag]                 ciflow/trunk/159889         -> ciflow/trunk/159889
2025-08-14T21:17:58.6661667Z  * [new tag]                 ciflow/trunk/159923         -> ciflow/trunk/159923
2025-08-14T21:17:58.6661937Z  * [new tag]                 ciflow/trunk/160004         -> ciflow/trunk/160004
2025-08-14T21:17:58.6662235Z  * [new tag]                 ciflow/trunk/160113         -> ciflow/trunk/160113
2025-08-14T21:17:58.6662582Z  * [new tag]                 ciflow/trunk/160161         -> ciflow/trunk/160161
2025-08-14T21:17:58.6662949Z  * [new tag]                 ciflow/trunk/160168         -> ciflow/trunk/160168
2025-08-14T21:17:58.6663253Z  * [new tag]                 ciflow/trunk/160181         -> ciflow/trunk/160181
2025-08-14T21:17:58.6663586Z  * [new tag]                 ciflow/trunk/160183         -> ciflow/trunk/160183
2025-08-14T21:17:58.6663893Z  * [new tag]                 ciflow/trunk/160190         -> ciflow/trunk/160190
2025-08-14T21:17:58.6664245Z  * [new tag]                 ciflow/trunk/160198         -> ciflow/trunk/160198
2025-08-14T21:17:58.6664568Z  * [new tag]                 ciflow/trunk/160205         -> ciflow/trunk/160205
2025-08-14T21:17:58.6664989Z  * [new tag]                 ciflow/trunk/160219         -> ciflow/trunk/160219
2025-08-14T21:17:58.6665313Z  * [new tag]                 ciflow/trunk/160224         -> ciflow/trunk/160224
2025-08-14T21:17:58.6665660Z  * [new tag]                 ciflow/trunk/160250         -> ciflow/trunk/160250
2025-08-14T21:17:58.6666043Z  * [new tag]                 ciflow/trunk/160253         -> ciflow/trunk/160253
2025-08-14T21:17:58.6666422Z  * [new tag]                 ciflow/trunk/160335         -> ciflow/trunk/160335
2025-08-14T21:17:58.6666839Z  * [new tag]                 ciflow/trunk/160338         -> ciflow/trunk/160338
2025-08-14T21:17:58.6667177Z  * [new tag]                 ciflow/trunk/160383         -> ciflow/trunk/160383
2025-08-14T21:17:58.6667532Z  * [new tag]                 ciflow/trunk/160401         -> ciflow/trunk/160401
2025-08-14T21:17:58.6667845Z  * [new tag]                 ciflow/trunk/160403         -> ciflow/trunk/160403
2025-08-14T21:17:58.6668192Z  * [new tag]                 ciflow/trunk/160430         -> ciflow/trunk/160430
2025-08-14T21:17:58.6668525Z  * [new tag]                 ciflow/trunk/160431         -> ciflow/trunk/160431
2025-08-14T21:17:58.6669017Z  * [new tag]                 ciflow/trunk/160439         -> ciflow/trunk/160439
2025-08-14T21:17:58.6669358Z  * [new tag]                 ciflow/trunk/160449         -> ciflow/trunk/160449
2025-08-14T21:17:58.6670058Z  * [new tag]                 ciflow/trunk/160454         -> ciflow/trunk/160454
2025-08-14T21:17:58.6670263Z  * [new tag]                 ciflow/trunk/160468         -> ciflow/trunk/160468
2025-08-14T21:17:58.6670611Z  * [new tag]                 ciflow/trunk/160481         -> ciflow/trunk/160481
2025-08-14T21:17:58.6670976Z  * [new tag]                 ciflow/trunk/160485         -> ciflow/trunk/160485
2025-08-14T21:17:58.6671391Z  * [new tag]                 ciflow/trunk/160519         -> ciflow/trunk/160519
2025-08-14T21:17:58.6671785Z  * [new tag]                 ciflow/trunk/160527         -> ciflow/trunk/160527
2025-08-14T21:17:58.6672205Z  * [new tag]                 ciflow/trunk/160560         -> ciflow/trunk/160560
2025-08-14T21:17:58.6672747Z  * [new tag]                 ciflow/trunk/160578         -> ciflow/trunk/160578
2025-08-14T21:17:58.6672980Z  * [new tag]                 ciflow/trunk/160589         -> ciflow/trunk/160589
2025-08-14T21:17:58.6673380Z  * [new tag]                 ciflow/trunk/160592         -> ciflow/trunk/160592
2025-08-14T21:17:58.6673739Z  * [new tag]                 ciflow/trunk/160649         -> ciflow/trunk/160649
2025-08-14T21:17:58.6674035Z  * [new tag]                 ciflow/trunk/160656         -> ciflow/trunk/160656
2025-08-14T21:17:58.6674692Z  * [new tag]                 ciflow/unstable/123         -> ciflow/unstable/123
2025-08-14T21:17:58.6675009Z  * [new tag]                 ciflow/vllm/160116          -> ciflow/vllm/160116
2025-08-14T21:17:58.6675343Z  * [new tag]                 ciflow/vllm/160583          -> ciflow/vllm/160583
2025-08-14T21:17:58.6675662Z  * [new tag]                 ciflow/vllm/160619          -> ciflow/vllm/160619
2025-08-14T21:17:58.6676005Z  * [new tag]                 ciflow/vllm/160625          -> ciflow/vllm/160625
2025-08-14T21:17:58.6676310Z  * [new tag]                 ciflow/vllm/160627          -> ciflow/vllm/160627
2025-08-14T21:17:58.6676795Z  * [new tag]                 ciflow/win-arm64/156049     -> ciflow/win-arm64/156049
2025-08-14T21:17:58.6677083Z  * [new tag]                 ciflow/win-arm64/158104     -> ciflow/win-arm64/158104
2025-08-14T21:17:58.6677384Z  * [new tag]                 ciflow/win-arm64/159553     -> ciflow/win-arm64/159553
2025-08-14T21:17:58.6677752Z  * [new tag]                 ciflow/win-arm64/159562     -> ciflow/win-arm64/159562
2025-08-14T21:17:58.6678167Z  * [new tag]                 ciflow/win-arm64/159777     -> ciflow/win-arm64/159777
2025-08-14T21:17:58.6678517Z  * [new tag]                 ciflow/win-arm64/159780     -> ciflow/win-arm64/159780
2025-08-14T21:17:58.6678792Z  * [new tag]                 ciflow/win-arm64/159842     -> ciflow/win-arm64/159842
2025-08-14T21:17:58.6679122Z  * [new tag]                 ciflow/win-arm64/160250     -> ciflow/win-arm64/160250
2025-08-14T21:17:58.6679415Z  * [new tag]                 ciflow/win-arm64/160253     -> ciflow/win-arm64/160253
2025-08-14T21:17:58.6679749Z  * [new tag]                 ciflow/win-arm64/160454     -> ciflow/win-arm64/160454
2025-08-14T21:17:58.6680032Z  * [new tag]                 ciflow/win-arm64/160560     -> ciflow/win-arm64/160560
2025-08-14T21:17:58.6680583Z  * [new tag]                 ciflow/xpu/138996           -> ciflow/xpu/138996
2025-08-14T21:17:58.6680844Z  * [new tag]                 ciflow/xpu/139971           -> ciflow/xpu/139971
2025-08-14T21:17:58.6681280Z  * [new tag]                 ciflow/xpu/140972           -> ciflow/xpu/140972
2025-08-14T21:17:58.6681665Z  * [new tag]                 ciflow/xpu/143553           -> ciflow/xpu/143553
2025-08-14T21:17:58.6682069Z  * [new tag]                 ciflow/xpu/156272           -> ciflow/xpu/156272
2025-08-14T21:17:58.6682320Z  * [new tag]                 ciflow/xpu/156812           -> ciflow/xpu/156812
2025-08-14T21:17:58.6682667Z  * [new tag]                 ciflow/xpu/157699           -> ciflow/xpu/157699
2025-08-14T21:17:58.6683083Z  * [new tag]                 ciflow/xpu/157994           -> ciflow/xpu/157994
2025-08-14T21:17:58.6683445Z  * [new tag]                 ciflow/xpu/158336           -> ciflow/xpu/158336
2025-08-14T21:17:58.6683698Z  * [new tag]                 ciflow/xpu/158733           -> ciflow/xpu/158733
2025-08-14T21:17:58.6684038Z  * [new tag]                 ciflow/xpu/159033           -> ciflow/xpu/159033
2025-08-14T21:17:58.6684608Z  * [new tag]                 ciflow/xpu/159118           -> ciflow/xpu/159118
2025-08-14T21:17:58.6684983Z  * [new tag]                 ciflow/xpu/159140           -> ciflow/xpu/159140
2025-08-14T21:17:58.6685584Z  * [new tag]                 ciflow/xpu/159241           -> ciflow/xpu/159241
2025-08-14T21:17:58.6685803Z  * [new tag]                 ciflow/xpu/159473           -> ciflow/xpu/159473
2025-08-14T21:17:58.6686220Z  * [new tag]                 ciflow/xpu/159474           -> ciflow/xpu/159474
2025-08-14T21:17:58.6686536Z  * [new tag]                 ciflow/xpu/159553           -> ciflow/xpu/159553
2025-08-14T21:17:58.6686881Z  * [new tag]                 ciflow/xpu/159944           -> ciflow/xpu/159944
2025-08-14T21:17:58.6687417Z  * [new tag]                 ciflow/xpu/160062           -> ciflow/xpu/160062
2025-08-14T21:17:58.6687652Z  * [new tag]                 ciflow/xpu/160067           -> ciflow/xpu/160067
2025-08-14T21:17:58.6688079Z  * [new tag]                 ciflow/xpu/160158           -> ciflow/xpu/160158
2025-08-14T21:17:58.6688434Z  * [new tag]                 ciflow/xpu/160173           -> ciflow/xpu/160173
2025-08-14T21:17:58.6688739Z  * [new tag]                 ciflow/xpu/160183           -> ciflow/xpu/160183
2025-08-14T21:17:58.6689097Z  * [new tag]                 ciflow/xpu/160301           -> ciflow/xpu/160301
2025-08-14T21:17:58.6689410Z  * [new tag]                 ciflow/xpu/160403           -> ciflow/xpu/160403
2025-08-14T21:17:58.6689834Z  * [new tag]                 ciflow/xpu/160606           -> ciflow/xpu/160606
2025-08-14T21:17:58.6690379Z  * [new tag]                 cslpull75                   -> cslpull75
2025-08-14T21:17:58.6690697Z  * [new tag]                 cslpull76                   -> cslpull76
2025-08-14T21:17:58.6691037Z  * [new tag]                 cslpull77                   -> cslpull77
2025-08-14T21:17:58.6691431Z  * [new tag]                 cslpull78                   -> cslpull78
2025-08-14T21:17:58.6691994Z  * [new tag]                 cslpull79                   -> cslpull79
2025-08-14T21:17:58.6692868Z  * [new tag]                 cslpull80                   -> cslpull80
2025-08-14T21:17:58.6693199Z  * [new tag]                 cslpull81                   -> cslpull81
2025-08-14T21:17:58.6693770Z  * [new tag]                 cslpull82                   -> cslpull82
2025-08-14T21:17:58.6694105Z  * [new tag]                 cslpull83                   -> cslpull83
2025-08-14T21:17:58.6694632Z  * [new tag]                 cslpull84                   -> cslpull84
2025-08-14T21:17:58.6695019Z  * [new tag]                 cslpull85                   -> cslpull85
2025-08-14T21:17:58.6695547Z  * [new tag]                 cslpull86                   -> cslpull86
2025-08-14T21:17:58.6695896Z  * [new tag]                 cslpull87                   -> cslpull87
2025-08-14T21:17:58.6696415Z  * [new tag]                 cslpull88                   -> cslpull88
2025-08-14T21:17:58.6696755Z  * [new tag]                 cslpull89                   -> cslpull89
2025-08-14T21:17:58.6697053Z  * [new tag]                 cslpull90                   -> cslpull90
2025-08-14T21:17:58.6697880Z  * [new tag]                 cslpull91                   -> cslpull91
2025-08-14T21:17:58.6698195Z  * [new tag]                 cslpull92                   -> cslpull92
2025-08-14T21:17:58.6698633Z  * [new tag]                 flight_5                    -> flight_5
2025-08-14T21:17:58.6699170Z  * [new tag]                 flight_5.1                  -> flight_5.1
2025-08-14T21:17:58.6699528Z  * [new tag]                 flight_5.2                  -> flight_5.2
2025-08-14T21:17:58.6699900Z  * [new tag]                 flight_5.3                  -> flight_5.3
2025-08-14T21:17:58.6700305Z  * [new tag]                 forpull1                    -> forpull1
2025-08-14T21:17:58.6700934Z  * [new tag]                 malfet/tag-2ef5611          -> malfet/tag-2ef5611
2025-08-14T21:17:58.6701313Z  * [new tag]                 malfet/tag-317b1a0          -> malfet/tag-317b1a0
2025-08-14T21:17:58.6701715Z  * [new tag]                 malfet/tag-ec6f767          -> malfet/tag-ec6f767
2025-08-14T21:17:58.6702162Z  * [new tag]                 nightly-binary              -> nightly-binary
2025-08-14T21:17:58.6702516Z  * [new tag]                 sqzhang_flight4_plus        -> sqzhang_flight4_plus
2025-08-14T21:17:58.6703073Z  * [new tag]                 sqzhang_flight_3            -> sqzhang_flight_3
2025-08-14T21:17:58.6703734Z  * [new tag]                 trunk/01584d2a7d029c9749eb73678cf1dc313cc35df6 -> trunk/01584d2a7d029c9749eb73678cf1dc313cc35df6
2025-08-14T21:17:58.6704064Z  * [new tag]                 trunk/017259f9c65b6fad55fb9597d7077e2543eaae46 -> trunk/017259f9c65b6fad55fb9597d7077e2543eaae46
2025-08-14T21:17:58.6704722Z  * [new tag]                 trunk/01bcf9a40dea937637d2cdd530bed2652510943d -> trunk/01bcf9a40dea937637d2cdd530bed2652510943d
2025-08-14T21:17:58.6705129Z  * [new tag]                 trunk/01f66d08d93365015f4af005a252f439c4d4013a -> trunk/01f66d08d93365015f4af005a252f439c4d4013a
2025-08-14T21:17:58.6705474Z  * [new tag]                 trunk/03b254e49f2d4c092e6ca712e5702cf2895aa47e -> trunk/03b254e49f2d4c092e6ca712e5702cf2895aa47e
2025-08-14T21:17:58.6705869Z  * [new tag]                 trunk/05029ad1c30865d3f7e7fd13384db9d826e563eb -> trunk/05029ad1c30865d3f7e7fd13384db9d826e563eb
2025-08-14T21:17:58.6706398Z  * [new tag]                 trunk/05c19d1acecc01b0d2512364183058a6885b9869 -> trunk/05c19d1acecc01b0d2512364183058a6885b9869
2025-08-14T21:17:58.6706829Z  * [new tag]                 trunk/05c417715f791875fbf28cfc3fc86142de1a3206 -> trunk/05c417715f791875fbf28cfc3fc86142de1a3206
2025-08-14T21:17:58.6707294Z  * [new tag]                 trunk/06824f3c7268bb807a422b663047cd0900ddd126 -> trunk/06824f3c7268bb807a422b663047cd0900ddd126
2025-08-14T21:17:58.6707570Z  * [new tag]                 trunk/077cb389746a7d61cfc018aad2ba29a8aa195610 -> trunk/077cb389746a7d61cfc018aad2ba29a8aa195610
2025-08-14T21:17:58.6708277Z  * [new tag]                 trunk/089c4a1ba007ed4abb3e5e0eafd97b7584566057 -> trunk/089c4a1ba007ed4abb3e5e0eafd97b7584566057
2025-08-14T21:17:58.6708681Z  * [new tag]                 trunk/09381f5dacda7bbbfa361f5df76bde5cd309adc1 -> trunk/09381f5dacda7bbbfa361f5df76bde5cd309adc1
2025-08-14T21:17:58.6709075Z  * [new tag]                 trunk/0bd3af4fb87445f4de3a1f9b823e399c8b3cefde -> trunk/0bd3af4fb87445f4de3a1f9b823e399c8b3cefde
2025-08-14T21:17:58.6709963Z  * [new tag]                 trunk/0d3461bac0fb5177e35152d980b301ea3a0aa2c4 -> trunk/0d3461bac0fb5177e35152d980b301ea3a0aa2c4
2025-08-14T21:17:58.6710176Z  * [new tag]                 trunk/0d40ff3b496e68193bc16d5391fa2e3623709f81 -> trunk/0d40ff3b496e68193bc16d5391fa2e3623709f81
2025-08-14T21:17:58.6710399Z  * [new tag]                 trunk/0d71ca2c46753bb268bfdcf815c14415c122a289 -> trunk/0d71ca2c46753bb268bfdcf815c14415c122a289
2025-08-14T21:17:58.6710744Z  * [new tag]                 trunk/0d88593dd826544c9e7bd4aa615ef86847a78d2b -> trunk/0d88593dd826544c9e7bd4aa615ef86847a78d2b
2025-08-14T21:17:58.6711700Z  * [new tag]                 trunk/0e3e377bd5126cfcc69d70c4d77b352d3404cc11 -> trunk/0e3e377bd5126cfcc69d70c4d77b352d3404cc11
2025-08-14T21:17:58.6711928Z  * [new tag]                 trunk/0f3b10b8eebe68e3c75d473d499b87dfe14a2eca -> trunk/0f3b10b8eebe68e3c75d473d499b87dfe14a2eca
2025-08-14T21:17:58.6712752Z  * [new tag]                 trunk/101276f81b4d2a8c31bfd6796b986d4c1bfdf483 -> trunk/101276f81b4d2a8c31bfd6796b986d4c1bfdf483
2025-08-14T21:17:58.6712962Z  * [new tag]                 trunk/1028c5e2d50e121865bf98307e7c035f549a24b2 -> trunk/1028c5e2d50e121865bf98307e7c035f549a24b2
2025-08-14T21:17:58.6713182Z  * [new tag]                 trunk/10bc36fe840cb3510fab84d2ea22663b76702f1e -> trunk/10bc36fe840cb3510fab84d2ea22663b76702f1e
2025-08-14T21:17:58.6713398Z  * [new tag]                 trunk/10e3514c962b58cbbee994257872a626ff76d51b -> trunk/10e3514c962b58cbbee994257872a626ff76d51b
2025-08-14T21:17:58.6713810Z  * [new tag]                 trunk/1128f4c2a822cbe34a9d966306af15097179ffe1 -> trunk/1128f4c2a822cbe34a9d966306af15097179ffe1
2025-08-14T21:17:58.6714215Z  * [new tag]                 trunk/114a6c40434bfb9cfa5abc30e9e34d81300d743e -> trunk/114a6c40434bfb9cfa5abc30e9e34d81300d743e
2025-08-14T21:17:58.6714724Z  * [new tag]                 trunk/118bc97b14c24ac88a4b0c0750a9e7bf93154c76 -> trunk/118bc97b14c24ac88a4b0c0750a9e7bf93154c76
2025-08-14T21:17:58.6715145Z  * [new tag]                 trunk/1196bb1c2e4d5a7edc09f2260e3034132f0c6c91 -> trunk/1196bb1c2e4d5a7edc09f2260e3034132f0c6c91
2025-08-14T21:17:58.6715532Z  * [new tag]                 trunk/11a3565f1872bbad9c253a127e8d4ce7a1b40ec8 -> trunk/11a3565f1872bbad9c253a127e8d4ce7a1b40ec8
2025-08-14T21:17:58.6715996Z  * [new tag]                 trunk/15e49f61643e4c0eef420f0981609709ef55b848 -> trunk/15e49f61643e4c0eef420f0981609709ef55b848
2025-08-14T21:17:58.6716428Z  * [new tag]                 trunk/16d15445f8bd8740095b23de4af89d757af793ca -> trunk/16d15445f8bd8740095b23de4af89d757af793ca
2025-08-14T21:17:58.6716835Z  * [new tag]                 trunk/178515d0ff6833c8e9221482b2a650ab31e00019 -> trunk/178515d0ff6833c8e9221482b2a650ab31e00019
2025-08-14T21:17:58.6717257Z  * [new tag]                 trunk/182efe31dbe43376e7eef7338356aaf94d5bcabe -> trunk/182efe31dbe43376e7eef7338356aaf94d5bcabe
2025-08-14T21:17:58.6717707Z  * [new tag]                 trunk/194fcfcfbdad0add1a1b695321e31a576058f4cf -> trunk/194fcfcfbdad0add1a1b695321e31a576058f4cf
2025-08-14T21:17:58.6718142Z  * [new tag]                 trunk/195b5c2e27eb8f21cbc8ad1e90f42db5a8cfccca -> trunk/195b5c2e27eb8f21cbc8ad1e90f42db5a8cfccca
2025-08-14T21:17:58.6718585Z  * [new tag]                 trunk/198b5fd2d47fa3d5110ceba6827a3b18e0064014 -> trunk/198b5fd2d47fa3d5110ceba6827a3b18e0064014
2025-08-14T21:17:58.6719037Z  * [new tag]                 trunk/199e9abb6a366bbd27c39d1da7c3123b4eea9b5a -> trunk/199e9abb6a366bbd27c39d1da7c3123b4eea9b5a
2025-08-14T21:17:58.6719404Z  * [new tag]                 trunk/19b4283884b2d9b3a0eb364da10b1540d14ab7a7 -> trunk/19b4283884b2d9b3a0eb364da10b1540d14ab7a7
2025-08-14T21:17:58.6720056Z  * [new tag]                 trunk/1c2587119152cec3905647a47c65d3d26619c5a8 -> trunk/1c2587119152cec3905647a47c65d3d26619c5a8
2025-08-14T21:17:58.6720457Z  * [new tag]                 trunk/1c26c53851c212a7c90a325549a72f0571613a8c -> trunk/1c26c53851c212a7c90a325549a72f0571613a8c
2025-08-14T21:17:58.6720903Z  * [new tag]                 trunk/1c2cba17eab2b09d87142883da2bdbdbcf018613 -> trunk/1c2cba17eab2b09d87142883da2bdbdbcf018613
2025-08-14T21:17:58.6721558Z  * [new tag]                 trunk/1d80d697a269234b47ec7ede192faf3bb9b159e3 -> trunk/1d80d697a269234b47ec7ede192faf3bb9b159e3
2025-08-14T21:17:58.6721888Z  * [new tag]                 trunk/1ea688f9a2602fbcde32c0302b822526ca4219dc -> trunk/1ea688f9a2602fbcde32c0302b822526ca4219dc
2025-08-14T21:17:58.6722415Z  * [new tag]                 trunk/1f4057c11ac941fb324386ca594d0a6882185aad -> trunk/1f4057c11ac941fb324386ca594d0a6882185aad
2025-08-14T21:17:58.6722850Z  * [new tag]                 trunk/1fc683cf17c8c673044538d10266c00f92987be2 -> trunk/1fc683cf17c8c673044538d10266c00f92987be2
2025-08-14T21:17:58.6723173Z  * [new tag]                 trunk/1febab2a89302464f6c7d69cfbef7a24c421ea65 -> trunk/1febab2a89302464f6c7d69cfbef7a24c421ea65
2025-08-14T21:17:58.6723629Z  * [new tag]                 trunk/206c1eef6571f906c2792d899a09136b3fce9673 -> trunk/206c1eef6571f906c2792d899a09136b3fce9673
2025-08-14T21:17:58.6724087Z  * [new tag]                 trunk/20bdabbb3c5d6b118a94b2e045c777662563d5bb -> trunk/20bdabbb3c5d6b118a94b2e045c777662563d5bb
2025-08-14T21:17:58.6724480Z  * [new tag]                 trunk/21392c0e06ac2b2621950455975ca6332f0bf641 -> trunk/21392c0e06ac2b2621950455975ca6332f0bf641
2025-08-14T21:17:58.6724813Z  * [new tag]                 trunk/2247aa6d1d43e256255f5c74a781c3190a4387b6 -> trunk/2247aa6d1d43e256255f5c74a781c3190a4387b6
2025-08-14T21:17:58.6725201Z  * [new tag]                 trunk/2259dbed4e0d3f2a8174b5847fd0741aed42451d -> trunk/2259dbed4e0d3f2a8174b5847fd0741aed42451d
2025-08-14T21:17:58.6725573Z  * [new tag]                 trunk/231c72240d80091f099c95e326d3600cba866eee -> trunk/231c72240d80091f099c95e326d3600cba866eee
2025-08-14T21:17:58.6725951Z  * [new tag]                 trunk/24257f5bfaa37795f74d9f64c1b43584128d4b8c -> trunk/24257f5bfaa37795f74d9f64c1b43584128d4b8c
2025-08-14T21:17:58.6726795Z  * [new tag]                 trunk/24f43d0da7ad9c6e95a09a2fee610387728cc1cd -> trunk/24f43d0da7ad9c6e95a09a2fee610387728cc1cd
2025-08-14T21:17:58.6727181Z  * [new tag]                 trunk/2898d3f965e5cd9d02fc2ecdab7c580fd457fea9 -> trunk/2898d3f965e5cd9d02fc2ecdab7c580fd457fea9
2025-08-14T21:17:58.6727581Z  * [new tag]                 trunk/28ccc9e7247798980fe00a11bcd64a8016b5f227 -> trunk/28ccc9e7247798980fe00a11bcd64a8016b5f227
2025-08-14T21:17:58.6727993Z  * [new tag]                 trunk/29712314dd5cf500a8ea3d1c69483a3cb768ca72 -> trunk/29712314dd5cf500a8ea3d1c69483a3cb768ca72
2025-08-14T21:17:58.6728396Z  * [new tag]                 trunk/29d20d49f0b7f4e362e1cefdcdc4b5659969312c -> trunk/29d20d49f0b7f4e362e1cefdcdc4b5659969312c
2025-08-14T21:17:58.6728871Z  * [new tag]                 trunk/2c5e10a5fceb208b11c3d569ae02e348b5893b31 -> trunk/2c5e10a5fceb208b11c3d569ae02e348b5893b31
2025-08-14T21:17:58.6729237Z  * [new tag]                 trunk/2d0cdee394bccadcd0abe19dd4623ed978a331ad -> trunk/2d0cdee394bccadcd0abe19dd4623ed978a331ad
2025-08-14T21:17:58.6729610Z  * [new tag]                 trunk/2e4e5ab4be9e0aeffd9c49b5b2f9f820bd0895b1 -> trunk/2e4e5ab4be9e0aeffd9c49b5b2f9f820bd0895b1
2025-08-14T21:17:58.6730458Z  * [new tag]                 trunk/2ea40fba841b3af8103f332ba62e54f350ba9a51 -> trunk/2ea40fba841b3af8103f332ba62e54f350ba9a51
2025-08-14T21:17:58.6730764Z  * [new tag]                 trunk/2ee22e435131369a7e4f8cc4732579acc29a941b -> trunk/2ee22e435131369a7e4f8cc4732579acc29a941b
2025-08-14T21:17:58.6731157Z  * [new tag]                 trunk/2f4c2226175512af787725c4d5ad7313c60d4db1 -> trunk/2f4c2226175512af787725c4d5ad7313c60d4db1
2025-08-14T21:17:58.6731547Z  * [new tag]                 trunk/3008d985a8fc155eb89374afff50cb33a6bd10d5 -> trunk/3008d985a8fc155eb89374afff50cb33a6bd10d5
2025-08-14T21:17:58.6731970Z  * [new tag]                 trunk/3028fa6ce9d9c96671722ab8213a1a30670d7cf2 -> trunk/3028fa6ce9d9c96671722ab8213a1a30670d7cf2
2025-08-14T21:17:58.6732362Z  * [new tag]                 trunk/303c614f3df95ae2b659c5f6c1838b14e4776ce6 -> trunk/303c614f3df95ae2b659c5f6c1838b14e4776ce6
2025-08-14T21:17:58.6733099Z  * [new tag]                 trunk/305fa2239365ad17ac9c534a68bba8a149c42d67 -> trunk/305fa2239365ad17ac9c534a68bba8a149c42d67
2025-08-14T21:17:58.6733427Z  * [new tag]                 trunk/31c9ac4319c0cc2ed8c6be701c6ccf73f6cb4706 -> trunk/31c9ac4319c0cc2ed8c6be701c6ccf73f6cb4706
2025-08-14T21:17:58.6733856Z  * [new tag]                 trunk/32099961d588fc19ead8afe805d6b5108de75669 -> trunk/32099961d588fc19ead8afe805d6b5108de75669
2025-08-14T21:17:58.6734512Z  * [new tag]                 trunk/32e5e2f596d55bb9441d5d53f3c58bcb55828047 -> trunk/32e5e2f596d55bb9441d5d53f3c58bcb55828047
2025-08-14T21:17:58.6734817Z  * [new tag]                 trunk/334b38ccc4427b1d14981c48a3a0b92180d58225 -> trunk/334b38ccc4427b1d14981c48a3a0b92180d58225
2025-08-14T21:17:58.6735347Z  * [new tag]                 trunk/334ecbd4ffe11858cae7d23d1190ddb4777c2513 -> trunk/334ecbd4ffe11858cae7d23d1190ddb4777c2513
2025-08-14T21:17:58.6735778Z  * [new tag]                 trunk/33d94018668951611b318b7515ae96f04e48eac0 -> trunk/33d94018668951611b318b7515ae96f04e48eac0
2025-08-14T21:17:58.6736226Z  * [new tag]                 trunk/34358f335d95213d96b6cca6a83e7bf3af6a9fcb -> trunk/34358f335d95213d96b6cca6a83e7bf3af6a9fcb
2025-08-14T21:17:58.6736648Z  * [new tag]                 trunk/34ec5ed275f8aa875c80daa97b3e82af0b06f673 -> trunk/34ec5ed275f8aa875c80daa97b3e82af0b06f673
2025-08-14T21:17:58.6737047Z  * [new tag]                 trunk/355462e1278d818deb9ef4a184073d5b66074816 -> trunk/355462e1278d818deb9ef4a184073d5b66074816
2025-08-14T21:17:58.6740526Z  * [new tag]                 trunk/3626ba711b34397d1fbf0a9b1979f85cbf68b919 -> trunk/3626ba711b34397d1fbf0a9b1979f85cbf68b919
2025-08-14T21:17:58.6740906Z  * [new tag]                 trunk/36f46d082a4954921cb8493223f000f2aab79ed7 -> trunk/36f46d082a4954921cb8493223f000f2aab79ed7
2025-08-14T21:17:58.6741411Z  * [new tag]                 trunk/39aa3d1471549b7829c207d634dfdc1d26e346a2 -> trunk/39aa3d1471549b7829c207d634dfdc1d26e346a2
2025-08-14T21:17:58.6742065Z  * [new tag]                 trunk/3a562374401113187ce2566b87e3f1d87d7c53aa -> trunk/3a562374401113187ce2566b87e3f1d87d7c53aa
2025-08-14T21:17:58.6742349Z  * [new tag]                 trunk/3ac86e728dfaa7383ff7f865e9e7d33486188dae -> trunk/3ac86e728dfaa7383ff7f865e9e7d33486188dae
2025-08-14T21:17:58.6742643Z  * [new tag]                 trunk/3be70dc30e893b552fc0f23ca06cd8f7949b6d08 -> trunk/3be70dc30e893b552fc0f23ca06cd8f7949b6d08
2025-08-14T21:17:58.6743070Z  * [new tag]                 trunk/3cec82a7e9aea040a34dd7a2587ae6d3bd65dba0 -> trunk/3cec82a7e9aea040a34dd7a2587ae6d3bd65dba0
2025-08-14T21:17:58.6743502Z  * [new tag]                 trunk/3cf7b4024ef83e44e9ae223dbff7c7ab68240cb2 -> trunk/3cf7b4024ef83e44e9ae223dbff7c7ab68240cb2
2025-08-14T21:17:58.6743912Z  * [new tag]                 trunk/3ef2e1ef769582a82c6ddf150e9d11bf4bf1c44f -> trunk/3ef2e1ef769582a82c6ddf150e9d11bf4bf1c44f
2025-08-14T21:17:58.6744349Z  * [new tag]                 trunk/3f1636ebef9b45e8a3cb0eb20d327ee6acb74be0 -> trunk/3f1636ebef9b45e8a3cb0eb20d327ee6acb74be0
2025-08-14T21:17:58.6744751Z  * [new tag]                 trunk/3faee0a6318afcbbbb48687009a459214910d820 -> trunk/3faee0a6318afcbbbb48687009a459214910d820
2025-08-14T21:17:58.6745248Z  * [new tag]                 trunk/3fcd79e023da7156ac584992ebab29205d3b7881 -> trunk/3fcd79e023da7156ac584992ebab29205d3b7881
2025-08-14T21:17:58.6745681Z  * [new tag]                 trunk/3fe19a7a0af3f4d692af30476c320be18c7e8ae6 -> trunk/3fe19a7a0af3f4d692af30476c320be18c7e8ae6
2025-08-14T21:17:58.6746173Z  * [new tag]                 trunk/41673110cd7c5960824cc74a6fcaeda1a8bc7a23 -> trunk/41673110cd7c5960824cc74a6fcaeda1a8bc7a23
2025-08-14T21:17:58.6746576Z  * [new tag]                 trunk/4183d4ff3dcc1d87400326a9a7998c3f9e966f60 -> trunk/4183d4ff3dcc1d87400326a9a7998c3f9e966f60
2025-08-14T21:17:58.6746999Z  * [new tag]                 trunk/422bd6808bb98cbbac31d157d9c82ad11ba9732d -> trunk/422bd6808bb98cbbac31d157d9c82ad11ba9732d
2025-08-14T21:17:58.6747421Z  * [new tag]                 trunk/42e51cd4b3973a053fcfa80878a3f346fd158e9f -> trunk/42e51cd4b3973a053fcfa80878a3f346fd158e9f
2025-08-14T21:17:58.6747871Z  * [new tag]                 trunk/4416433c7c625127b7f975c92f8ec98ea4c67fd3 -> trunk/4416433c7c625127b7f975c92f8ec98ea4c67fd3
2025-08-14T21:17:58.6748277Z  * [new tag]                 trunk/45ba7ecda876685b083cbbe932450560c566826b -> trunk/45ba7ecda876685b083cbbe932450560c566826b
2025-08-14T21:17:58.6749037Z  * [new tag]                 trunk/47a1db823dfcdacdb99f317428fc3791a18c5812 -> trunk/47a1db823dfcdacdb99f317428fc3791a18c5812
2025-08-14T21:17:58.6749349Z  * [new tag]                 trunk/4a773e1e867f28a8ff0b15203e5cd9548f74fcee -> trunk/4a773e1e867f28a8ff0b15203e5cd9548f74fcee
2025-08-14T21:17:58.6749750Z  * [new tag]                 trunk/4a90dc0c1f68d1f98832b169f792ed1bb195a0f3 -> trunk/4a90dc0c1f68d1f98832b169f792ed1bb195a0f3
2025-08-14T21:17:58.6750304Z  * [new tag]                 trunk/4cde0acc0e4e795e1a12cbdd9b93c8c04c1fa05d -> trunk/4cde0acc0e4e795e1a12cbdd9b93c8c04c1fa05d
2025-08-14T21:17:58.6750759Z  * [new tag]                 trunk/4d419a74610c32b1372f8802dcc61893740a23cf -> trunk/4d419a74610c32b1372f8802dcc61893740a23cf
2025-08-14T21:17:58.6751163Z  * [new tag]                 trunk/4d5b3f2d5af7c8e4f41da4ffca53fafe8bb86235 -> trunk/4d5b3f2d5af7c8e4f41da4ffca53fafe8bb86235
2025-08-14T21:17:58.6751679Z  * [new tag]                 trunk/4e2ddb5db67617f9f5309c8bba0c17adc84cadbc -> trunk/4e2ddb5db67617f9f5309c8bba0c17adc84cadbc
2025-08-14T21:17:58.6752329Z  * [new tag]                 trunk/50a8c118754a6c5a46968f5c8e215ccba6831d42 -> trunk/50a8c118754a6c5a46968f5c8e215ccba6831d42
2025-08-14T21:17:58.6752692Z  * [new tag]                 trunk/50f23ff6f883db5021dd6bab4c146434f98dd15d -> trunk/50f23ff6f883db5021dd6bab4c146434f98dd15d
2025-08-14T21:17:58.6753086Z  * [new tag]                 trunk/515cb70367e84fcbad23fcc5b39eb1d7706df2aa -> trunk/515cb70367e84fcbad23fcc5b39eb1d7706df2aa
2025-08-14T21:17:58.6753566Z  * [new tag]                 trunk/53e39494958b7e2278cc8176f63636e812e8945f -> trunk/53e39494958b7e2278cc8176f63636e812e8945f
2025-08-14T21:17:58.6753925Z  * [new tag]                 trunk/556e2a73f4f0643f7c2aeb5c7dddda43388a40ce -> trunk/556e2a73f4f0643f7c2aeb5c7dddda43388a40ce
2025-08-14T21:17:58.6754359Z  * [new tag]                 trunk/5665dc9ab76b84d7c90d845ffb0f6349b3621919 -> trunk/5665dc9ab76b84d7c90d845ffb0f6349b3621919
2025-08-14T21:17:58.6754766Z  * [new tag]                 trunk/566c6d52ef1411c8262d7b9cf85e2044fdfbe1a3 -> trunk/566c6d52ef1411c8262d7b9cf85e2044fdfbe1a3
2025-08-14T21:17:58.6755214Z  * [new tag]                 trunk/56c828bef93eada0e18d2cc013207831ca80cc99 -> trunk/56c828bef93eada0e18d2cc013207831ca80cc99
2025-08-14T21:17:58.6755675Z  * [new tag]                 trunk/5737372862253a0ac0292407a5844796f02380ad -> trunk/5737372862253a0ac0292407a5844796f02380ad
2025-08-14T21:17:58.6756085Z  * [new tag]                 trunk/57f738b6357cc8fcdde479a0948e723809a1a44d -> trunk/57f738b6357cc8fcdde479a0948e723809a1a44d
2025-08-14T21:17:58.6756506Z  * [new tag]                 trunk/5a40c5784482255b9baf14086cc4b9349fc6d512 -> trunk/5a40c5784482255b9baf14086cc4b9349fc6d512
2025-08-14T21:17:58.6756936Z  * [new tag]                 trunk/5a9c4cfce42b9eb87da0de40c5633f083115c307 -> trunk/5a9c4cfce42b9eb87da0de40c5633f083115c307
2025-08-14T21:17:58.6757465Z  * [new tag]                 trunk/5ace061254af71aa83d1baae81aa1864c9746add -> trunk/5ace061254af71aa83d1baae81aa1864c9746add
2025-08-14T21:17:58.6757889Z  * [new tag]                 trunk/5dddcd5b07c6644efca8d613f4eca1dc95daa87f -> trunk/5dddcd5b07c6644efca8d613f4eca1dc95daa87f
2025-08-14T21:17:58.6758335Z  * [new tag]                 trunk/5ed4f9177907fe403ec4c4499d0d0e9be6b68fcf -> trunk/5ed4f9177907fe403ec4c4499d0d0e9be6b68fcf
2025-08-14T21:17:58.6758887Z  * [new tag]                 trunk/5f1010fbb3850d99c8fdf9a9de2f79260cdc586a -> trunk/5f1010fbb3850d99c8fdf9a9de2f79260cdc586a
2025-08-14T21:17:58.6759208Z  * [new tag]                 trunk/5f5f508aa836a46dfe88857fb223049616b94e93 -> trunk/5f5f508aa836a46dfe88857fb223049616b94e93
2025-08-14T21:17:58.6759698Z  * [new tag]                 trunk/62bac0798100e0e06a86b7a4cee1788413e3d0ca -> trunk/62bac0798100e0e06a86b7a4cee1788413e3d0ca
2025-08-14T21:17:58.6760138Z  * [new tag]                 trunk/63654ba4c5178fd12220cfc9d1c878af2fdd07cc -> trunk/63654ba4c5178fd12220cfc9d1c878af2fdd07cc
2025-08-14T21:17:58.6760568Z  * [new tag]                 trunk/639778b3ee3b80e0894367fdc4442b58ae1b3a62 -> trunk/639778b3ee3b80e0894367fdc4442b58ae1b3a62
2025-08-14T21:17:58.6760976Z  * [new tag]                 trunk/641ee7478150f26969968f49d8b358e199679a8a -> trunk/641ee7478150f26969968f49d8b358e199679a8a
2025-08-14T21:17:58.6761416Z  * [new tag]                 trunk/65053c03a3d209060cb239d20a229dac37cf9dd1 -> trunk/65053c03a3d209060cb239d20a229dac37cf9dd1
2025-08-14T21:17:58.6762254Z  * [new tag]                 trunk/652a6f5954d039d61dc6e6575ccf89d385d74537 -> trunk/652a6f5954d039d61dc6e6575ccf89d385d74537
2025-08-14T21:17:58.6762730Z  * [new tag]                 trunk/685f15dbea66e8ffa8564752f81ad2f6cb447a14 -> trunk/685f15dbea66e8ffa8564752f81ad2f6cb447a14
2025-08-14T21:17:58.6762992Z  * [new tag]                 trunk/68a4b4b2e336cfd4451ce6546d900568e5ddf96c -> trunk/68a4b4b2e336cfd4451ce6546d900568e5ddf96c
2025-08-14T21:17:58.6763684Z  * [new tag]                 trunk/69a0a9aa7f5e320a02e97fa789d2f72baff1554f -> trunk/69a0a9aa7f5e320a02e97fa789d2f72baff1554f
2025-08-14T21:17:58.6764090Z  * [new tag]                 trunk/6be6d06295c870c77a6eb69f96b3170d983520d5 -> trunk/6be6d06295c870c77a6eb69f96b3170d983520d5
2025-08-14T21:17:58.6764575Z  * [new tag]                 trunk/6c05ea6475beaf3acc05e1bda0f3f8fe3bdc1d49 -> trunk/6c05ea6475beaf3acc05e1bda0f3f8fe3bdc1d49
2025-08-14T21:17:58.6765083Z  * [new tag]                 trunk/6da11d9aafc0d84dc7f66030c181608ff2614f66 -> trunk/6da11d9aafc0d84dc7f66030c181608ff2614f66
2025-08-14T21:17:58.6765590Z  * [new tag]                 trunk/6e8865fbc161270e2ffc52817e6c667df417a3f7 -> trunk/6e8865fbc161270e2ffc52817e6c667df417a3f7
2025-08-14T21:17:58.6766072Z  * [new tag]                 trunk/6ea8376f84232048d6be0f7b2edf82aec1b61d58 -> trunk/6ea8376f84232048d6be0f7b2edf82aec1b61d58
2025-08-14T21:17:58.6766507Z  * [new tag]                 trunk/6ee175195ac7853734d64704171993cc6265eb38 -> trunk/6ee175195ac7853734d64704171993cc6265eb38
2025-08-14T21:17:58.6767034Z  * [new tag]                 trunk/6f0f4e0c3eacd479864319127915f869f64e1935 -> trunk/6f0f4e0c3eacd479864319127915f869f64e1935
2025-08-14T21:17:58.6767412Z  * [new tag]                 trunk/70ccdec44b89e355a2cb03ba14a634284f7750f8 -> trunk/70ccdec44b89e355a2cb03ba14a634284f7750f8
2025-08-14T21:17:58.6767882Z  * [new tag]                 trunk/72009ec6bebca7714f99c18449183787f202af4d -> trunk/72009ec6bebca7714f99c18449183787f202af4d
2025-08-14T21:17:58.6768340Z  * [new tag]                 trunk/731ee31f7b6ba19307daab323f6196172b71aaf8 -> trunk/731ee31f7b6ba19307daab323f6196172b71aaf8
2025-08-14T21:17:58.6768810Z  * [new tag]                 trunk/76a0609b6bddb2bc40f1eb4ade12885023653d59 -> trunk/76a0609b6bddb2bc40f1eb4ade12885023653d59
2025-08-14T21:17:58.6769230Z  * [new tag]                 trunk/781e9a7724c47496e3d38a81e6dd6194cf098c41 -> trunk/781e9a7724c47496e3d38a81e6dd6194cf098c41
2025-08-14T21:17:58.6769736Z  * [new tag]                 trunk/78a2fe1d42edeaa2ef7020b0fa0ac82ee4a640e4 -> trunk/78a2fe1d42edeaa2ef7020b0fa0ac82ee4a640e4
2025-08-14T21:17:58.6770148Z  * [new tag]                 trunk/7a974a88f2c529a614baeabe4debd00fc8a3b299 -> trunk/7a974a88f2c529a614baeabe4debd00fc8a3b299
2025-08-14T21:17:58.6770864Z  * [new tag]                 trunk/7ae0629d64b404e0ef5d9c931433ad25e65d6114 -> trunk/7ae0629d64b404e0ef5d9c931433ad25e65d6114
2025-08-14T21:17:58.6771258Z  * [new tag]                 trunk/7d2ec704e47f4b740cdecda5534b305e8e1875ef -> trunk/7d2ec704e47f4b740cdecda5534b305e8e1875ef
2025-08-14T21:17:58.6771676Z  * [new tag]                 trunk/7d87e358ac8440f666fabbfd99058bb5342be6ac -> trunk/7d87e358ac8440f666fabbfd99058bb5342be6ac
2025-08-14T21:17:58.6772064Z  * [new tag]                 trunk/7e27347fd353928c99620495c8c531a5eba7d56b -> trunk/7e27347fd353928c99620495c8c531a5eba7d56b
2025-08-14T21:17:58.6772711Z  * [new tag]                 trunk/7e91394955721c77645fcdb75a5d47a255d65020 -> trunk/7e91394955721c77645fcdb75a5d47a255d65020
2025-08-14T21:17:58.6773082Z  * [new tag]                 trunk/7f4cb4a3e018a621add2a37a3a2f67b982d51001 -> trunk/7f4cb4a3e018a621add2a37a3a2f67b982d51001
2025-08-14T21:17:58.6773479Z  * [new tag]                 trunk/7fbc22855c17741ae016992803b2e147a13aa22d -> trunk/7fbc22855c17741ae016992803b2e147a13aa22d
2025-08-14T21:17:58.6773980Z  * [new tag]                 trunk/8047421fbb607d70ede13b9cd5a60b7b8bdfe348 -> trunk/8047421fbb607d70ede13b9cd5a60b7b8bdfe348
2025-08-14T21:17:58.6774384Z  * [new tag]                 trunk/8088cfa592504a2897b4c78f8a46fe658ab5c2c2 -> trunk/8088cfa592504a2897b4c78f8a46fe658ab5c2c2
2025-08-14T21:17:58.6774855Z  * [new tag]                 trunk/80cca8307943ba64168208b54028f55b2c71daff -> trunk/80cca8307943ba64168208b54028f55b2c71daff
2025-08-14T21:17:58.6775295Z  * [new tag]                 trunk/8147370733bbdcd034cad54e9212e51885a11892 -> trunk/8147370733bbdcd034cad54e9212e51885a11892
2025-08-14T21:17:58.6775779Z  * [new tag]                 trunk/83875cdb5594ccb3c9206b8eb5745fe1d011cf26 -> trunk/83875cdb5594ccb3c9206b8eb5745fe1d011cf26
2025-08-14T21:17:58.6776163Z  * [new tag]                 trunk/8399cf88ce8399d2be93355f29d4cb69f51c0654 -> trunk/8399cf88ce8399d2be93355f29d4cb69f51c0654
2025-08-14T21:17:58.6776686Z  * [new tag]                 trunk/842cc77ab9aafd518593c2fce077d6abb42a5b7f -> trunk/842cc77ab9aafd518593c2fce077d6abb42a5b7f
2025-08-14T21:17:58.6777273Z  * [new tag]                 trunk/85db508af533649d0b3447ff3f0d5fe083150c84 -> trunk/85db508af533649d0b3447ff3f0d5fe083150c84
2025-08-14T21:17:58.6777609Z  * [new tag]                 trunk/86eb65f7f06016bcd5d7951dc9d74bc3993a827a -> trunk/86eb65f7f06016bcd5d7951dc9d74bc3993a827a
2025-08-14T21:17:58.6778071Z  * [new tag]                 trunk/87e6c4079d8ec7d04aff00ed82096b39836a8367 -> trunk/87e6c4079d8ec7d04aff00ed82096b39836a8367
2025-08-14T21:17:58.6778537Z  * [new tag]                 trunk/89654db1abccf7e5f261989a150db4d1619ea2aa -> trunk/89654db1abccf7e5f261989a150db4d1619ea2aa
2025-08-14T21:17:58.6778920Z  * [new tag]                 trunk/8a37f0c90392a2c38b7c5955471fa49edcaf5cb1 -> trunk/8a37f0c90392a2c38b7c5955471fa49edcaf5cb1
2025-08-14T21:17:58.6779335Z  * [new tag]                 trunk/8ab5868a2199fe485c2d66533b9244ccb97e487d -> trunk/8ab5868a2199fe485c2d66533b9244ccb97e487d
2025-08-14T21:17:58.6779767Z  * [new tag]                 trunk/8ae4d2652f64b8444b3d5314b9232bd2119bcde6 -> trunk/8ae4d2652f64b8444b3d5314b9232bd2119bcde6
2025-08-14T21:17:58.6780255Z  * [new tag]                 trunk/8c41cb800ae0411f02ea5da34bd5ccc3790633b0 -> trunk/8c41cb800ae0411f02ea5da34bd5ccc3790633b0
2025-08-14T21:17:58.6780711Z  * [new tag]                 trunk/8cb91e20bc205b1416648d0ffd98d1ba1f3a6fc4 -> trunk/8cb91e20bc205b1416648d0ffd98d1ba1f3a6fc4
2025-08-14T21:17:58.6781185Z  * [new tag]                 trunk/8cfaf51d4e29c9bd9f49ecc98d955ed53df1a13d -> trunk/8cfaf51d4e29c9bd9f49ecc98d955ed53df1a13d
2025-08-14T21:17:58.6781620Z  * [new tag]                 trunk/8d1cf529229dce7cd5ea04abb0faac83b87ca6d1 -> trunk/8d1cf529229dce7cd5ea04abb0faac83b87ca6d1
2025-08-14T21:17:58.6782044Z  * [new tag]                 trunk/8d3d1c844303cb1d46123a1caa76d4cf83973347 -> trunk/8d3d1c844303cb1d46123a1caa76d4cf83973347
2025-08-14T21:17:58.6782451Z  * [new tag]                 trunk/8d6d3246316e1767a57d5e855acd6208da753b75 -> trunk/8d6d3246316e1767a57d5e855acd6208da753b75
2025-08-14T21:17:58.6782924Z  * [new tag]                 trunk/8e6a3138581152ab827a0997f34c470271399f5e -> trunk/8e6a3138581152ab827a0997f34c470271399f5e
2025-08-14T21:17:58.6783409Z  * [new tag]                 trunk/8eee08d2279b98af2522debb6512d37e837e89e3 -> trunk/8eee08d2279b98af2522debb6512d37e837e89e3
2025-08-14T21:17:58.6783868Z  * [new tag]                 trunk/90b78ee50f73b5c963996076a3d54b74b1b965be -> trunk/90b78ee50f73b5c963996076a3d54b74b1b965be
2025-08-14T21:17:58.6784475Z  * [new tag]                 trunk/94b91a876327820a4bb6f5d39d156f13f2553ab6 -> trunk/94b91a876327820a4bb6f5d39d156f13f2553ab6
2025-08-14T21:17:58.6785085Z  * [new tag]                 trunk/95210cc409dd578988c7116b47725c304dea54c7 -> trunk/95210cc409dd578988c7116b47725c304dea54c7
2025-08-14T21:17:58.6785441Z  * [new tag]                 trunk/96bd33b2de79598566df395f32e27c4d33673f05 -> trunk/96bd33b2de79598566df395f32e27c4d33673f05
2025-08-14T21:17:58.6785939Z  * [new tag]                 trunk/9708fcf92db88b80b9010c68662d634434da3106 -> trunk/9708fcf92db88b80b9010c68662d634434da3106
2025-08-14T21:17:58.6786355Z  * [new tag]                 trunk/97c8c98f8dcb9c5c188b691d156e0043dba6c7f8 -> trunk/97c8c98f8dcb9c5c188b691d156e0043dba6c7f8
2025-08-14T21:17:58.6786836Z  * [new tag]                 trunk/9903ca4f70bdc1653016256f5b4fd74fdfc609f8 -> trunk/9903ca4f70bdc1653016256f5b4fd74fdfc609f8
2025-08-14T21:17:58.6787273Z  * [new tag]                 trunk/99bc2f94c1955657e950ebdad5f77e518785ccbd -> trunk/99bc2f94c1955657e950ebdad5f77e518785ccbd
2025-08-14T21:17:58.6787546Z  * [new tag]                 trunk/9a06e6d0310da9d8a59ae05e8ec9c0201b55cacd -> trunk/9a06e6d0310da9d8a59ae05e8ec9c0201b55cacd
2025-08-14T21:17:58.6787968Z  * [new tag]                 trunk/9a0f7a3bb01b235ea04581ee540970a098071b72 -> trunk/9a0f7a3bb01b235ea04581ee540970a098071b72
2025-08-14T21:17:58.6788428Z  * [new tag]                 trunk/9b803cdbe298009f08340c1aaccb25aafbca95d8 -> trunk/9b803cdbe298009f08340c1aaccb25aafbca95d8
2025-08-14T21:17:58.6789103Z  * [new tag]                 trunk/9ccd0f5e31ea54fcf42101dfbaacc103494e34df -> trunk/9ccd0f5e31ea54fcf42101dfbaacc103494e34df
2025-08-14T21:17:58.6789448Z  * [new tag]                 trunk/9d37c960a4fc44d5ac334ca8bf775f85b95d76fc -> trunk/9d37c960a4fc44d5ac334ca8bf775f85b95d76fc
2025-08-14T21:17:58.6789937Z  * [new tag]                 trunk/9e07673deb212c87b1c6fea23799a97474c476ed -> trunk/9e07673deb212c87b1c6fea23799a97474c476ed
2025-08-14T21:17:58.6790443Z  * [new tag]                 trunk/9eedd2a20b64302d0d116ea2802b50948d2ebb09 -> trunk/9eedd2a20b64302d0d116ea2802b50948d2ebb09
2025-08-14T21:17:58.6791159Z  * [new tag]                 trunk/9fa8ce26cf638504469852cbc3e7d04579fc8674 -> trunk/9fa8ce26cf638504469852cbc3e7d04579fc8674
2025-08-14T21:17:58.6791570Z  * [new tag]                 trunk/a06ec54d40013c97fbffc174ea8f524ea5a95715 -> trunk/a06ec54d40013c97fbffc174ea8f524ea5a95715
2025-08-14T21:17:58.6792345Z  * [new tag]                 trunk/a288b15ea9f87ddd665f249d492e0fb0861f5a69 -> trunk/a288b15ea9f87ddd665f249d492e0fb0861f5a69
2025-08-14T21:17:58.6792791Z  * [new tag]                 trunk/a2fd106d670bb4990cebfd00f25ecbae4145e76c -> trunk/a2fd106d670bb4990cebfd00f25ecbae4145e76c
2025-08-14T21:17:58.6793336Z  * [new tag]                 trunk/a354fa91e26b376d96385a2206c5ff5b42aa4600 -> trunk/a354fa91e26b376d96385a2206c5ff5b42aa4600
2025-08-14T21:17:58.6793794Z  * [new tag]                 trunk/a4f69a5da08eace1c1e6469dec6a18aa842da73b -> trunk/a4f69a5da08eace1c1e6469dec6a18aa842da73b
2025-08-14T21:17:58.6794248Z  * [new tag]                 trunk/a53d14d5f846ac44f6c205abb1c5bc4d2f3126ae -> trunk/a53d14d5f846ac44f6c205abb1c5bc4d2f3126ae
2025-08-14T21:17:58.6794874Z  * [new tag]                 trunk/a5652407e4f3d772fc44486ac2abf756decf0861 -> trunk/a5652407e4f3d772fc44486ac2abf756decf0861
2025-08-14T21:17:58.6795340Z  * [new tag]                 trunk/a7abf57aabec0ce686092e2d66e53ba185dbc56b -> trunk/a7abf57aabec0ce686092e2d66e53ba185dbc56b
2025-08-14T21:17:58.6795773Z  * [new tag]                 trunk/a84b60c0c4016785fd93b7b8a0c04f2d0770d332 -> trunk/a84b60c0c4016785fd93b7b8a0c04f2d0770d332
2025-08-14T21:17:58.6796229Z  * [new tag]                 trunk/aa75e917bdb0f95bb6dee81853c2d3c4ab3e1883 -> trunk/aa75e917bdb0f95bb6dee81853c2d3c4ab3e1883
2025-08-14T21:17:58.6796708Z  * [new tag]                 trunk/adcca7d9a1c053495e99012de801b2ea237faad0 -> trunk/adcca7d9a1c053495e99012de801b2ea237faad0
2025-08-14T21:17:58.6797185Z  * [new tag]                 trunk/af10f1f86cc4effc93142a447693d8be55966615 -> trunk/af10f1f86cc4effc93142a447693d8be55966615
2025-08-14T21:17:58.6797663Z  * [new tag]                 trunk/af3cabc55d5699f4da528e1ca39d83338f84ae8c -> trunk/af3cabc55d5699f4da528e1ca39d83338f84ae8c
2025-08-14T21:17:58.6798159Z  * [new tag]                 trunk/b0df7715e8c590c0001d1f9cdb97057be80c9107 -> trunk/b0df7715e8c590c0001d1f9cdb97057be80c9107
2025-08-14T21:17:58.6798601Z  * [new tag]                 trunk/b149c7204c218e7c4d6594a89dd74f72bd480ec5 -> trunk/b149c7204c218e7c4d6594a89dd74f72bd480ec5
2025-08-14T21:17:58.6799047Z  * [new tag]                 trunk/b1a602762e6a6674b406a3137e7e7a678885a97b -> trunk/b1a602762e6a6674b406a3137e7e7a678885a97b
2025-08-14T21:17:58.6799522Z  * [new tag]                 trunk/b1f43548cad8fc0e30bda250f6e196310fa7a4bc -> trunk/b1f43548cad8fc0e30bda250f6e196310fa7a4bc
2025-08-14T21:17:58.6799975Z  * [new tag]                 trunk/b219ca2a00a305753c4f1ea4c9c5d23243d54753 -> trunk/b219ca2a00a305753c4f1ea4c9c5d23243d54753
2025-08-14T21:17:58.6800444Z  * [new tag]                 trunk/b4596895b9d85a686c2cb978938b0a7797b3690a -> trunk/b4596895b9d85a686c2cb978938b0a7797b3690a
2025-08-14T21:17:58.6800906Z  * [new tag]                 trunk/b5fd7223b1bf44720dc9183bda7dfcf7aeccff02 -> trunk/b5fd7223b1bf44720dc9183bda7dfcf7aeccff02
2025-08-14T21:17:58.6801312Z  * [new tag]                 trunk/b602ea9cab7d43a7ee7b4051227090f23fbd3dbf -> trunk/b602ea9cab7d43a7ee7b4051227090f23fbd3dbf
2025-08-14T21:17:58.6801949Z  * [new tag]                 trunk/b6b74aed604bd2e96389ff99aaaf39abc64fdc64 -> trunk/b6b74aed604bd2e96389ff99aaaf39abc64fdc64
2025-08-14T21:17:58.6802398Z  * [new tag]                 trunk/b7db86600a2614adc71c92ca42d359a7ac534d78 -> trunk/b7db86600a2614adc71c92ca42d359a7ac534d78
2025-08-14T21:17:58.6802822Z  * [new tag]                 trunk/b9003ed3d87699e81e436719625a21996a6654e5 -> trunk/b9003ed3d87699e81e436719625a21996a6654e5
2025-08-14T21:17:58.6803297Z  * [new tag]                 trunk/b90feeac86bda00afc2789321bcd706015ff44e3 -> trunk/b90feeac86bda00afc2789321bcd706015ff44e3
2025-08-14T21:17:58.6804313Z  * [new tag]                 trunk/b9d7de3a094598c3dc0dd52e57bce30eb684c9d8 -> trunk/b9d7de3a094598c3dc0dd52e57bce30eb684c9d8
2025-08-14T21:17:58.6804701Z  * [new tag]                 trunk/ba47821f524eee50a214ed39fa2e7765d54aabf4 -> trunk/ba47821f524eee50a214ed39fa2e7765d54aabf4
2025-08-14T21:17:58.6805245Z  * [new tag]                 trunk/ba4ccf5d67e3d237f435eacc2bce3c6025f08491 -> trunk/ba4ccf5d67e3d237f435eacc2bce3c6025f08491
2025-08-14T21:17:58.6805769Z  * [new tag]                 trunk/bcf23ecc476df2bd7479f142567213e2623308ee -> trunk/bcf23ecc476df2bd7479f142567213e2623308ee
2025-08-14T21:17:58.6806209Z  * [new tag]                 trunk/be53f609aaf6f01e2863f490975ea9eaac3ee9ff -> trunk/be53f609aaf6f01e2863f490975ea9eaac3ee9ff
2025-08-14T21:17:58.6806652Z  * [new tag]                 trunk/beb4d7816dedc67a5de1f82e5a45b5910f407941 -> trunk/beb4d7816dedc67a5de1f82e5a45b5910f407941
2025-08-14T21:17:58.6807160Z  * [new tag]                 trunk/bfc873d02ec413344717493e4175a902921359fd -> trunk/bfc873d02ec413344717493e4175a902921359fd
2025-08-14T21:17:58.6807752Z  * [new tag]                 trunk/c184cb3852f0ff2d16a489d61abc3739c309e6ca -> trunk/c184cb3852f0ff2d16a489d61abc3739c309e6ca
2025-08-14T21:17:58.6808175Z  * [new tag]                 trunk/c24ca7f4bf79f62fd623d76346ca27e53f731431 -> trunk/c24ca7f4bf79f62fd623d76346ca27e53f731431
2025-08-14T21:17:58.6808580Z  * [new tag]                 trunk/c3dc8dc4122977893004c49d10e4676cd0a97da4 -> trunk/c3dc8dc4122977893004c49d10e4676cd0a97da4
2025-08-14T21:17:58.6809056Z  * [new tag]                 trunk/c5ec5458a547f7a774468ea0eb2258d3de596492 -> trunk/c5ec5458a547f7a774468ea0eb2258d3de596492
2025-08-14T21:17:58.6809567Z  * [new tag]                 trunk/c5efc5c8a66eca84865015058b3221013ebfe685 -> trunk/c5efc5c8a66eca84865015058b3221013ebfe685
2025-08-14T21:17:58.6810059Z  * [new tag]                 trunk/c6563341208003f64c131854a9cf029555f786d2 -> trunk/c6563341208003f64c131854a9cf029555f786d2
2025-08-14T21:17:58.6810528Z  * [new tag]                 trunk/c6d78d4dbda53837d298d23a5fbc09af90a42d9e -> trunk/c6d78d4dbda53837d298d23a5fbc09af90a42d9e
2025-08-14T21:17:58.6810894Z  * [new tag]                 trunk/c8205cb35435f39d2c26f6c94b45e4adeb6dcb23 -> trunk/c8205cb35435f39d2c26f6c94b45e4adeb6dcb23
2025-08-14T21:17:58.6811418Z  * [new tag]                 trunk/c859ba7114b1fcb49527e090745fa17091d1f8d5 -> trunk/c859ba7114b1fcb49527e090745fa17091d1f8d5
2025-08-14T21:17:58.6811920Z  * [new tag]                 trunk/c86040a8e68f754b90a84099187d3624954c7f36 -> trunk/c86040a8e68f754b90a84099187d3624954c7f36
2025-08-14T21:17:58.6812344Z  * [new tag]                 trunk/c9671dc865aa0fc1cb86df754e355b44d8e02bb4 -> trunk/c9671dc865aa0fc1cb86df754e355b44d8e02bb4
2025-08-14T21:17:58.6812959Z  * [new tag]                 trunk/ca7315c17162ea21b1ca5ba23f4bf6168766c7b9 -> trunk/ca7315c17162ea21b1ca5ba23f4bf6168766c7b9
2025-08-14T21:17:58.6813445Z  * [new tag]                 trunk/cae2b5e3d223829bdc553fc8601df4b1c1554cff -> trunk/cae2b5e3d223829bdc553fc8601df4b1c1554cff
2025-08-14T21:17:58.6813895Z  * [new tag]                 trunk/cbffde774557752cf20447d42d99ec6102673c31 -> trunk/cbffde774557752cf20447d42d99ec6102673c31
2025-08-14T21:17:58.6814380Z  * [new tag]                 trunk/cd8d8c18f5bafdc1c73d5ac0129e7b4d76ab45bc -> trunk/cd8d8c18f5bafdc1c73d5ac0129e7b4d76ab45bc
2025-08-14T21:17:58.6814833Z  * [new tag]                 trunk/cf0a0dcb0afa5e84b95461cc542f862b51ca96bf -> trunk/cf0a0dcb0afa5e84b95461cc542f862b51ca96bf
2025-08-14T21:17:58.6815275Z  * [new tag]                 trunk/cf4964be68fa9f4ffc334f01cce42d7424b1cc81 -> trunk/cf4964be68fa9f4ffc334f01cce42d7424b1cc81
2025-08-14T21:17:58.6815976Z  * [new tag]                 trunk/d0e2240f680ea2a553f7ee8188f52482e130bfd0 -> trunk/d0e2240f680ea2a553f7ee8188f52482e130bfd0
2025-08-14T21:17:58.6816433Z  * [new tag]                 trunk/d1950d4bb5cba8fb6b23e4d283eea5b9801737e2 -> trunk/d1950d4bb5cba8fb6b23e4d283eea5b9801737e2
2025-08-14T21:17:58.6816891Z  * [new tag]                 trunk/d20c4c20e61adecf00335c4d8c22eb1ace472cd3 -> trunk/d20c4c20e61adecf00335c4d8c22eb1ace472cd3
2025-08-14T21:17:58.6817330Z  * [new tag]                 trunk/d25c4f954d599ea512e2f70cd6df101c21479d4c -> trunk/d25c4f954d599ea512e2f70cd6df101c21479d4c
2025-08-14T21:17:58.6817783Z  * [new tag]                 trunk/d3d359dbafa89173a371e2637f22b47398e94a24 -> trunk/d3d359dbafa89173a371e2637f22b47398e94a24
2025-08-14T21:17:58.6818298Z  * [new tag]                 trunk/d46768db04499d07a5b0db984112a6d1b7d3b0c1 -> trunk/d46768db04499d07a5b0db984112a6d1b7d3b0c1
2025-08-14T21:17:58.6818800Z  * [new tag]                 trunk/d4c1a08c89f37d249a0146ff511c82ecc5c53b8f -> trunk/d4c1a08c89f37d249a0146ff511c82ecc5c53b8f
2025-08-14T21:17:58.6819412Z  * [new tag]                 trunk/d556586448f3caab85673c7da0978fe31c7748f7 -> trunk/d556586448f3caab85673c7da0978fe31c7748f7
2025-08-14T21:17:58.6819962Z  * [new tag]                 trunk/d670304001429a1a833255a918ed788d7ec4989a -> trunk/d670304001429a1a833255a918ed788d7ec4989a
2025-08-14T21:17:58.6820408Z  * [new tag]                 trunk/d6786741a77aba200c78002646cc069b7a1799b0 -> trunk/d6786741a77aba200c78002646cc069b7a1799b0
2025-08-14T21:17:58.6821140Z  * [new tag]                 trunk/d68c323692dedcbb74e670801e3502944fd790ff -> trunk/d68c323692dedcbb74e670801e3502944fd790ff
2025-08-14T21:17:58.6821510Z  * [new tag]                 trunk/d8cb3db5339b45e4b745b2b883ef3ecde9843e2c -> trunk/d8cb3db5339b45e4b745b2b883ef3ecde9843e2c
2025-08-14T21:17:58.6821853Z  * [new tag]                 trunk/da1f608ca33f3062535d0a4866d95db19e72fcbd -> trunk/da1f608ca33f3062535d0a4866d95db19e72fcbd
2025-08-14T21:17:58.6822226Z  * [new tag]                 trunk/db0b7f1cc9bb3fe71aaf8b964a644147ae8e1c35 -> trunk/db0b7f1cc9bb3fe71aaf8b964a644147ae8e1c35
2025-08-14T21:17:58.6822693Z  * [new tag]                 trunk/db32b60662b2f2bdcad980127d5dc4b66b02a7e4 -> trunk/db32b60662b2f2bdcad980127d5dc4b66b02a7e4
2025-08-14T21:17:58.6823164Z  * [new tag]                 trunk/db763b17175553ba09637362eb9773a91997a7ad -> trunk/db763b17175553ba09637362eb9773a91997a7ad
2025-08-14T21:17:58.6823904Z  * [new tag]                 trunk/db78943a1ca13a32a3d6045eb15e2b719ee13a2f -> trunk/db78943a1ca13a32a3d6045eb15e2b719ee13a2f
2025-08-14T21:17:58.6824424Z  * [new tag]                 trunk/dc0d18e023d9b7e314ebba0f234b6cb1579dbcfd -> trunk/dc0d18e023d9b7e314ebba0f234b6cb1579dbcfd
2025-08-14T21:17:58.6824839Z  * [new tag]                 trunk/dd21c8a578038ab2841a7ba809a06921093ac9d8 -> trunk/dd21c8a578038ab2841a7ba809a06921093ac9d8
2025-08-14T21:17:58.6825329Z  * [new tag]                 trunk/deea71a90e05eb320c04bebfead5317746637f0d -> trunk/deea71a90e05eb320c04bebfead5317746637f0d
2025-08-14T21:17:58.6825777Z  * [new tag]                 trunk/df55ec7d4b35f6d21691e9dd41c82f27de762948 -> trunk/df55ec7d4b35f6d21691e9dd41c82f27de762948
2025-08-14T21:17:58.6826239Z  * [new tag]                 trunk/e1cf0d496ea85d1807c8c740f296e77bf7bdc1df -> trunk/e1cf0d496ea85d1807c8c740f296e77bf7bdc1df
2025-08-14T21:17:58.6826723Z  * [new tag]                 trunk/e248719ac03c103767ab72034f6b9fd56855bf98 -> trunk/e248719ac03c103767ab72034f6b9fd56855bf98
2025-08-14T21:17:58.6827215Z  * [new tag]                 trunk/e49762026070f66be41bfa6537fbcf9bfc24e558 -> trunk/e49762026070f66be41bfa6537fbcf9bfc24e558
2025-08-14T21:17:58.6827755Z  * [new tag]                 trunk/e4de93f6a3e342bab34d3757cf90ec0ccc87e168 -> trunk/e4de93f6a3e342bab34d3757cf90ec0ccc87e168
2025-08-14T21:17:58.6828133Z  * [new tag]                 trunk/e619c6bb90b9dedaccd3cbeed86a288993a4e33f -> trunk/e619c6bb90b9dedaccd3cbeed86a288993a4e33f
2025-08-14T21:17:58.6828725Z  * [new tag]                 trunk/e63c2b21c186a7d2ab8a8953b8aa1535f2e96e58 -> trunk/e63c2b21c186a7d2ab8a8953b8aa1535f2e96e58
2025-08-14T21:17:58.6829187Z  * [new tag]                 trunk/e7152ff8a6a929a0db7f3f4a72a5b6d471769cd3 -> trunk/e7152ff8a6a929a0db7f3f4a72a5b6d471769cd3
2025-08-14T21:17:58.6829708Z  * [new tag]                 trunk/e96c7c4bb0f6aeae2ab3b6f040f7d67edbec199a -> trunk/e96c7c4bb0f6aeae2ab3b6f040f7d67edbec199a
2025-08-14T21:17:58.6830174Z  * [new tag]                 trunk/e9eb2096a59a79e7a94c3e28a0715e040369f34c -> trunk/e9eb2096a59a79e7a94c3e28a0715e040369f34c
2025-08-14T21:17:58.6830629Z  * [new tag]                 trunk/eac2d9d695a32dd456050f45cac35134ec3809f4 -> trunk/eac2d9d695a32dd456050f45cac35134ec3809f4
2025-08-14T21:17:58.6831105Z  * [new tag]                 trunk/ecde76c764752540edf9ef62a97936c86d984b17 -> trunk/ecde76c764752540edf9ef62a97936c86d984b17
2025-08-14T21:17:58.6831448Z  * [new tag]                 trunk/ecea81117b2fdc52907c97b3c32d779e07b5d55b -> trunk/ecea81117b2fdc52907c97b3c32d779e07b5d55b
2025-08-14T21:17:58.6831989Z  * [new tag]                 trunk/edaa151d0d5a4e75fbec9843f49cc78770eb61fb -> trunk/edaa151d0d5a4e75fbec9843f49cc78770eb61fb
2025-08-14T21:17:58.6832423Z  * [new tag]                 trunk/ee1b0412b919dfb358d5a697b3be49621497fbc2 -> trunk/ee1b0412b919dfb358d5a697b3be49621497fbc2
2025-08-14T21:17:58.6832900Z  * [new tag]                 trunk/ee1fb43450c2e985657f95a91b68328d6f20f24e -> trunk/ee1fb43450c2e985657f95a91b68328d6f20f24e
2025-08-14T21:17:58.6833633Z  * [new tag]                 trunk/ee89cc7a0acd69de25f98fe4ef828546db7b444c -> trunk/ee89cc7a0acd69de25f98fe4ef828546db7b444c
2025-08-14T21:17:58.6833995Z  * [new tag]                 trunk/ee9f8ba11d664b871a9e0c7933fdc8571635b78c -> trunk/ee9f8ba11d664b871a9e0c7933fdc8571635b78c
2025-08-14T21:17:58.6834575Z  * [new tag]                 trunk/eed9dbf70f43ee529fec78ac00ed9a4fd74c6e76 -> trunk/eed9dbf70f43ee529fec78ac00ed9a4fd74c6e76
2025-08-14T21:17:58.6834976Z  * [new tag]                 trunk/f077c2402e4eb5b0ed562b4ee5b7a0503f26ef94 -> trunk/f077c2402e4eb5b0ed562b4ee5b7a0503f26ef94
2025-08-14T21:17:58.6835470Z  * [new tag]                 trunk/f0980fc0bbd656d6c02d23ad97e945353b314f35 -> trunk/f0980fc0bbd656d6c02d23ad97e945353b314f35
2025-08-14T21:17:58.6835907Z  * [new tag]                 trunk/f15ada5c6fad97a7dcbfa4673f067b6942dda640 -> trunk/f15ada5c6fad97a7dcbfa4673f067b6942dda640
2025-08-14T21:17:58.6836365Z  * [new tag]                 trunk/f27232a2134150cb5e55d26a74d8c36c6a961ca5 -> trunk/f27232a2134150cb5e55d26a74d8c36c6a961ca5
2025-08-14T21:17:58.6836748Z  * [new tag]                 trunk/f33ce40bc062a281e1a1f57e8c1926d0a7d155cc -> trunk/f33ce40bc062a281e1a1f57e8c1926d0a7d155cc
2025-08-14T21:17:58.6837214Z  * [new tag]                 trunk/f341077ce4710172da20cfad916ee37159bfe9fe -> trunk/f341077ce4710172da20cfad916ee37159bfe9fe
2025-08-14T21:17:58.6837655Z  * [new tag]                 trunk/f3a4d742ece08de4cb0e59dcc62e0093a7d0b0c7 -> trunk/f3a4d742ece08de4cb0e59dcc62e0093a7d0b0c7
2025-08-14T21:17:58.6838105Z  * [new tag]                 trunk/f3f159ff8c4bad2edec99c68a941c628e983d04c -> trunk/f3f159ff8c4bad2edec99c68a941c628e983d04c
2025-08-14T21:17:58.6838561Z  * [new tag]                 trunk/f60454cce8b93e5bbf67f2f3c88c8ac01ed65457 -> trunk/f60454cce8b93e5bbf67f2f3c88c8ac01ed65457
2025-08-14T21:17:58.6839009Z  * [new tag]                 trunk/f7b2f3314cf7aede67d5fa5c75e4243208484344 -> trunk/f7b2f3314cf7aede67d5fa5c75e4243208484344
2025-08-14T21:17:58.6839533Z  * [new tag]                 trunk/f8f0414a5983ff481a2188e0c18594150430c8c5 -> trunk/f8f0414a5983ff481a2188e0c18594150430c8c5
2025-08-14T21:17:58.6839935Z  * [new tag]                 trunk/f95b58c2844b3444cd8446fed8570729dc4216eb -> trunk/f95b58c2844b3444cd8446fed8570729dc4216eb
2025-08-14T21:17:58.6840423Z  * [new tag]                 trunk/f990490a23815ea6ee27e487c70ba2cf513ba43d -> trunk/f990490a23815ea6ee27e487c70ba2cf513ba43d
2025-08-14T21:17:58.6840867Z  * [new tag]                 trunk/fb887c3bb588cfe782615e67f6c26db636b8539b -> trunk/fb887c3bb588cfe782615e67f6c26db636b8539b
2025-08-14T21:17:58.6841917Z  * [new tag]                 trunk/fc25c68f20f772290927a7031b998b92615259cf -> trunk/fc25c68f20f772290927a7031b998b92615259cf
2025-08-14T21:17:58.6842288Z  * [new tag]                 trunk/fc80f6859e0ccf66513a40f04b9e735e759d4ddb -> trunk/fc80f6859e0ccf66513a40f04b9e735e759d4ddb
2025-08-14T21:17:58.6842837Z  * [new tag]                 trunk/fdfd69bb05488d76123db9cc1cdd90ac4137bbfb -> trunk/fdfd69bb05488d76123db9cc1cdd90ac4137bbfb
2025-08-14T21:17:58.6843278Z  * [new tag]                 trunk/fe3f5fe4ea2ff6f56406dc5d954636ebb08d0a08 -> trunk/fe3f5fe4ea2ff6f56406dc5d954636ebb08d0a08
2025-08-14T21:17:58.6843710Z  * [new tag]                 trunk/fea7e9dd37c02c334b130f6624af6163fde6b2ab -> trunk/fea7e9dd37c02c334b130f6624af6163fde6b2ab
2025-08-14T21:17:58.6844136Z  * [new tag]                 trunk/ff0d56d03592aa03f3ced8359241d21df1783393 -> trunk/ff0d56d03592aa03f3ced8359241d21df1783393
2025-08-14T21:17:58.6844555Z  * [new tag]                 v0.1.1                      -> v0.1.1
2025-08-14T21:17:58.6844963Z  * [new tag]                 v0.1.10                     -> v0.1.10
2025-08-14T21:17:58.6845346Z  * [new tag]                 v0.1.11                     -> v0.1.11
2025-08-14T21:17:58.6845727Z  * [new tag]                 v0.1.12                     -> v0.1.12
2025-08-14T21:17:58.6846223Z  * [new tag]                 v0.1.2                      -> v0.1.2
2025-08-14T21:17:58.6846485Z  * [new tag]                 v0.1.3                      -> v0.1.3
2025-08-14T21:17:58.6847157Z  * [new tag]                 v0.1.4                      -> v0.1.4
2025-08-14T21:17:58.6847397Z  * [new tag]                 v0.1.5                      -> v0.1.5
2025-08-14T21:17:58.6847940Z  * [new tag]                 v0.1.6                      -> v0.1.6
2025-08-14T21:17:58.6848203Z  * [new tag]                 v0.1.7                      -> v0.1.7
2025-08-14T21:17:58.6848600Z  * [new tag]                 v0.1.8                      -> v0.1.8
2025-08-14T21:17:58.6848997Z  * [new tag]                 v0.1.9                      -> v0.1.9
2025-08-14T21:17:58.6849399Z  * [new tag]                 v0.2.0                      -> v0.2.0
2025-08-14T21:17:58.6849814Z  * [new tag]                 v0.3.0                      -> v0.3.0
2025-08-14T21:17:58.6850386Z  * [new tag]                 v0.3.1                      -> v0.3.1
2025-08-14T21:17:58.6850713Z  * [new tag]                 v0.4.0                      -> v0.4.0
2025-08-14T21:17:58.6851235Z  * [new tag]                 v0.4.1                      -> v0.4.1
2025-08-14T21:17:58.6851508Z  * [new tag]                 v1.0.0                      -> v1.0.0
2025-08-14T21:17:58.6852134Z  * [new tag]                 v1.0.0a0                    -> v1.0.0a0
2025-08-14T21:17:58.6852410Z  * [new tag]                 v1.0.1                      -> v1.0.1
2025-08-14T21:17:58.6852990Z  * [new tag]                 v1.0rc0                     -> v1.0rc0
2025-08-14T21:17:58.6853244Z  * [new tag]                 v1.0rc1                     -> v1.0rc1
2025-08-14T21:17:58.6853628Z  * [new tag]                 v1.1.0                      -> v1.1.0
2025-08-14T21:17:58.6854059Z  * [new tag]                 v1.1.0a0                    -> v1.1.0a0
2025-08-14T21:17:58.6854722Z  * [new tag]                 v1.10.0                     -> v1.10.0
2025-08-14T21:17:58.6855132Z  * [new tag]                 v1.10.0-rc1                 -> v1.10.0-rc1
2025-08-14T21:17:58.6855617Z  * [new tag]                 v1.10.0-rc2                 -> v1.10.0-rc2
2025-08-14T21:17:58.6855878Z  * [new tag]                 v1.10.0-rc3                 -> v1.10.0-rc3
2025-08-14T21:17:58.6856414Z  * [new tag]                 v1.10.1                     -> v1.10.1
2025-08-14T21:17:58.6856674Z  * [new tag]                 v1.10.1-rc1                 -> v1.10.1-rc1
2025-08-14T21:17:58.6856965Z  * [new tag]                 v1.10.2                     -> v1.10.2
2025-08-14T21:17:58.6857371Z  * [new tag]                 v1.10.2-rc1                 -> v1.10.2-rc1
2025-08-14T21:17:58.6857837Z  * [new tag]                 v1.11.0                     -> v1.11.0
2025-08-14T21:17:58.6858368Z  * [new tag]                 v1.11.0-rc1                 -> v1.11.0-rc1
2025-08-14T21:17:58.6858850Z  * [new tag]                 v1.11.0-rc2                 -> v1.11.0-rc2
2025-08-14T21:17:58.6859510Z  * [new tag]                 v1.11.0-rc3                 -> v1.11.0-rc3
2025-08-14T21:17:58.6860030Z  * [new tag]                 v1.11.0-rc4                 -> v1.11.0-rc4
2025-08-14T21:17:58.6860414Z  * [new tag]                 v1.11.0-rc5                 -> v1.11.0-rc5
2025-08-14T21:17:58.6860708Z  * [new tag]                 v1.11.0-rc6                 -> v1.11.0-rc6
2025-08-14T21:17:58.6861032Z  * [new tag]                 v1.11.0-rc7                 -> v1.11.0-rc7
2025-08-14T21:17:58.6861563Z  * [new tag]                 v1.12.0                     -> v1.12.0
2025-08-14T21:17:58.6861908Z  * [new tag]                 v1.12.0-rc1                 -> v1.12.0-rc1
2025-08-14T21:17:58.6862324Z  * [new tag]                 v1.12.0-rc2                 -> v1.12.0-rc2
2025-08-14T21:17:58.6863213Z  * [new tag]                 v1.12.0-rc3                 -> v1.12.0-rc3
2025-08-14T21:17:58.6863612Z  * [new tag]                 v1.12.0-rc4                 -> v1.12.0-rc4
2025-08-14T21:17:58.6864143Z  * [new tag]                 v1.12.0-rc5                 -> v1.12.0-rc5
2025-08-14T21:17:58.6864512Z  * [new tag]                 v1.12.0-rc6                 -> v1.12.0-rc6
2025-08-14T21:17:58.6864803Z  * [new tag]                 v1.12.0-rc7                 -> v1.12.0-rc7
2025-08-14T21:17:58.6865195Z  * [new tag]                 v1.12.0-rc8                 -> v1.12.0-rc8
2025-08-14T21:17:58.6865461Z  * [new tag]                 v1.12.1                     -> v1.12.1
2025-08-14T21:17:58.6866043Z  * [new tag]                 v1.12.1-rc1                 -> v1.12.1-rc1
2025-08-14T21:17:58.6866427Z  * [new tag]                 v1.12.1-rc2                 -> v1.12.1-rc2
2025-08-14T21:17:58.6867002Z  * [new tag]                 v1.12.1-rc3                 -> v1.12.1-rc3
2025-08-14T21:17:58.6867324Z  * [new tag]                 v1.12.1-rc4                 -> v1.12.1-rc4
2025-08-14T21:17:58.6867641Z  * [new tag]                 v1.12.1-rc5                 -> v1.12.1-rc5
2025-08-14T21:17:58.6868209Z  * [new tag]                 v1.13.0                     -> v1.13.0
2025-08-14T21:17:58.6868537Z  * [new tag]                 v1.13.0-rc1                 -> v1.13.0-rc1
2025-08-14T21:17:58.6869066Z  * [new tag]                 v1.13.0-rc2                 -> v1.13.0-rc2
2025-08-14T21:17:58.6869421Z  * [new tag]                 v1.13.0-rc3                 -> v1.13.0-rc3
2025-08-14T21:17:58.6871941Z  * [new tag]                 v1.13.0-rc4                 -> v1.13.0-rc4
2025-08-14T21:17:58.6872205Z  * [new tag]                 v1.13.0-rc5                 -> v1.13.0-rc5
2025-08-14T21:17:58.6872549Z  * [new tag]                 v1.13.0-rc6                 -> v1.13.0-rc6
2025-08-14T21:17:58.6873059Z  * [new tag]                 v1.13.1                     -> v1.13.1
2025-08-14T21:17:58.6873389Z  * [new tag]                 v1.13.1-rc1                 -> v1.13.1-rc1
2025-08-14T21:17:58.6873917Z  * [new tag]                 v1.2.0                      -> v1.2.0
2025-08-14T21:17:58.6874463Z  * [new tag]                 v1.2.0a0                    -> v1.2.0a0
2025-08-14T21:17:58.6874784Z  * [new tag]                 v1.3.0                      -> v1.3.0
2025-08-14T21:17:58.6875318Z  * [new tag]                 v1.3.0a0                    -> v1.3.0a0
2025-08-14T21:17:58.6875580Z  * [new tag]                 v1.3.1                      -> v1.3.1
2025-08-14T21:17:58.6875999Z  * [new tag]                 v1.4.0                      -> v1.4.0
2025-08-14T21:17:58.6876474Z  * [new tag]                 v1.4.0a0                    -> v1.4.0a0
2025-08-14T21:17:58.6876763Z  * [new tag]                 v1.4.1                      -> v1.4.1
2025-08-14T21:17:58.6877304Z  * [new tag]                 v1.5.0                      -> v1.5.0
2025-08-14T21:17:58.6877724Z  * [new tag]                 v1.5.0-rc1                  -> v1.5.0-rc1
2025-08-14T21:17:58.6878265Z  * [new tag]                 v1.5.0-rc2                  -> v1.5.0-rc2
2025-08-14T21:17:58.6878680Z  * [new tag]                 v1.5.0-rc3                  -> v1.5.0-rc3
2025-08-14T21:17:58.6879069Z  * [new tag]                 v1.5.0-rc4                  -> v1.5.0-rc4
2025-08-14T21:17:58.6879342Z  * [new tag]                 v1.5.0-rc5                  -> v1.5.0-rc5
2025-08-14T21:17:58.6879926Z  * [new tag]                 v1.5.1                      -> v1.5.1
2025-08-14T21:17:58.6880168Z  * [new tag]                 v1.5.1-rc1                  -> v1.5.1-rc1
2025-08-14T21:17:58.6880468Z  * [new tag]                 v1.6.0                      -> v1.6.0
2025-08-14T21:17:58.6881001Z  * [new tag]                 v1.6.0-rc1                  -> v1.6.0-rc1
2025-08-14T21:17:58.6881418Z  * [new tag]                 v1.6.0-rc2                  -> v1.6.0-rc2
2025-08-14T21:17:58.6881956Z  * [new tag]                 v1.6.0-rc3                  -> v1.6.0-rc3
2025-08-14T21:17:58.6882319Z  * [new tag]                 v1.6.0-rc4                  -> v1.6.0-rc4
2025-08-14T21:17:58.6882850Z  * [new tag]                 v1.6.0-rc5                  -> v1.6.0-rc5
2025-08-14T21:17:58.6883223Z  * [new tag]                 v1.6.0-rc6                  -> v1.6.0-rc6
2025-08-14T21:17:58.6883492Z  * [new tag]                 v1.6.0-rc7                  -> v1.6.0-rc7
2025-08-14T21:17:58.6884119Z  * [new tag]                 v1.7.0                      -> v1.7.0
2025-08-14T21:17:58.6884502Z  * [new tag]                 v1.7.0-rc1                  -> v1.7.0-rc1
2025-08-14T21:17:58.6884935Z  * [new tag]                 v1.7.0-rc2                  -> v1.7.0-rc2
2025-08-14T21:17:58.6885331Z  * [new tag]                 v1.7.0-rc3                  -> v1.7.0-rc3
2025-08-14T21:17:58.6885693Z  * [new tag]                 v1.7.0-rc4                  -> v1.7.0-rc4
2025-08-14T21:17:58.6886129Z  * [new tag]                 v1.7.1                      -> v1.7.1
2025-08-14T21:17:58.6886827Z  * [new tag]                 v1.7.1-rc1                  -> v1.7.1-rc1
2025-08-14T21:17:58.6887356Z  * [new tag]                 v1.7.1-rc2                  -> v1.7.1-rc2
2025-08-14T21:17:58.6887614Z  * [new tag]                 v1.7.1-rc3                  -> v1.7.1-rc3
2025-08-14T21:17:58.6888158Z  * [new tag]                 v1.8.0                      -> v1.8.0
2025-08-14T21:17:58.6888381Z  * [new tag]                 v1.8.0-rc1                  -> v1.8.0-rc1
2025-08-14T21:17:58.6888915Z  * [new tag]                 v1.8.0-rc2                  -> v1.8.0-rc2
2025-08-14T21:17:58.6889285Z  * [new tag]                 v1.8.0-rc3                  -> v1.8.0-rc3
2025-08-14T21:17:58.6889674Z  * [new tag]                 v1.8.0-rc4                  -> v1.8.0-rc4
2025-08-14T21:17:58.6889958Z  * [new tag]                 v1.8.0-rc5                  -> v1.8.0-rc5
2025-08-14T21:17:58.6890276Z  * [new tag]                 v1.8.1                      -> v1.8.1
2025-08-14T21:17:58.6890819Z  * [new tag]                 v1.8.1-rc1                  -> v1.8.1-rc1
2025-08-14T21:17:58.6891022Z  * [new tag]                 v1.8.1-rc2                  -> v1.8.1-rc2
2025-08-14T21:17:58.6891347Z  * [new tag]                 v1.8.1-rc3                  -> v1.8.1-rc3
2025-08-14T21:17:58.6892615Z  * [new tag]                 v1.8.2                      -> v1.8.2
2025-08-14T21:17:58.6892879Z  * [new tag]                 v1.8.2-rc1                  -> v1.8.2-rc1
2025-08-14T21:17:58.6893420Z  * [new tag]                 v1.9.0                      -> v1.9.0
2025-08-14T21:17:58.6893779Z  * [new tag]                 v1.9.0-rc1                  -> v1.9.0-rc1
2025-08-14T21:17:58.6894367Z  * [new tag]                 v1.9.0-rc2                  -> v1.9.0-rc2
2025-08-14T21:17:58.6894750Z  * [new tag]                 v1.9.0-rc3                  -> v1.9.0-rc3
2025-08-14T21:17:58.6895065Z  * [new tag]                 v1.9.0-rc4                  -> v1.9.0-rc4
2025-08-14T21:17:58.6895492Z  * [new tag]                 v1.9.1                      -> v1.9.1
2025-08-14T21:17:58.6896196Z  * [new tag]                 v1.9.1-rc1                  -> v1.9.1-rc1
2025-08-14T21:17:58.6896473Z  * [new tag]                 v1.9.1-rc2                  -> v1.9.1-rc2
2025-08-14T21:17:58.6897017Z  * [new tag]                 v2.0.0                      -> v2.0.0
2025-08-14T21:17:58.6897401Z  * [new tag]                 v2.0.0-rc1                  -> v2.0.0-rc1
2025-08-14T21:17:58.6897975Z  * [new tag]                 v2.0.0-rc2                  -> v2.0.0-rc2
2025-08-14T21:17:58.6898360Z  * [new tag]                 v2.0.0-rc3                  -> v2.0.0-rc3
2025-08-14T21:17:58.6898880Z  * [new tag]                 v2.0.0-rc4                  -> v2.0.0-rc4
2025-08-14T21:17:58.6899239Z  * [new tag]                 v2.0.0-rc5                  -> v2.0.0-rc5
2025-08-14T21:17:58.6899645Z  * [new tag]                 v2.0.0-rc6                  -> v2.0.0-rc6
2025-08-14T21:17:58.6900228Z  * [new tag]                 v2.0.1                      -> v2.0.1
2025-08-14T21:17:58.6900608Z  * [new tag]                 v2.0.1-rc1                  -> v2.0.1-rc1
2025-08-14T21:17:58.6900901Z  * [new tag]                 v2.0.1-rc2                  -> v2.0.1-rc2
2025-08-14T21:17:58.6901437Z  * [new tag]                 v2.0.1-rc3                  -> v2.0.1-rc3
2025-08-14T21:17:58.6901667Z  * [new tag]                 v2.0.1-rc4                  -> v2.0.1-rc4
2025-08-14T21:17:58.6902567Z  * [new tag]                 v2.1.0                      -> v2.1.0
2025-08-14T21:17:58.6902877Z  * [new tag]                 v2.1.0-rc1                  -> v2.1.0-rc1
2025-08-14T21:17:58.6903516Z  * [new tag]                 v2.1.0-rc2                  -> v2.1.0-rc2
2025-08-14T21:17:58.6903899Z  * [new tag]                 v2.1.0-rc3                  -> v2.1.0-rc3
2025-08-14T21:17:58.6904429Z  * [new tag]                 v2.1.0-rc4                  -> v2.1.0-rc4
2025-08-14T21:17:58.6904799Z  * [new tag]                 v2.1.0-rc5                  -> v2.1.0-rc5
2025-08-14T21:17:58.6905101Z  * [new tag]                 v2.1.0-rc6                  -> v2.1.0-rc6
2025-08-14T21:17:58.6905677Z  * [new tag]                 v2.1.1                      -> v2.1.1
2025-08-14T21:17:58.6905982Z  * [new tag]                 v2.1.1-rc1                  -> v2.1.1-rc1
2025-08-14T21:17:58.6906509Z  * [new tag]                 v2.1.1-rc2                  -> v2.1.1-rc2
2025-08-14T21:17:58.6907047Z  * [new tag]                 v2.1.1-rc3                  -> v2.1.1-rc3
2025-08-14T21:17:58.6907445Z  * [new tag]                 v2.1.1-rc4                  -> v2.1.1-rc4
2025-08-14T21:17:58.6907852Z  * [new tag]                 v2.1.1-rc5                  -> v2.1.1-rc5
2025-08-14T21:17:58.6908151Z  * [new tag]                 v2.1.1-rc6                  -> v2.1.1-rc6
2025-08-14T21:17:58.6908680Z  * [new tag]                 v2.1.2                      -> v2.1.2
2025-08-14T21:17:58.6909093Z  * [new tag]                 v2.1.2-rc1                  -> v2.1.2-rc1
2025-08-14T21:17:58.6909627Z  * [new tag]                 v2.1.2-rc2                  -> v2.1.2-rc2
2025-08-14T21:17:58.6909832Z  * [new tag]                 v2.1.2-rc3                  -> v2.1.2-rc3
2025-08-14T21:17:58.6910402Z  * [new tag]                 v2.2.0                      -> v2.2.0
2025-08-14T21:17:58.6910782Z  * [new tag]                 v2.2.0-rc1                  -> v2.2.0-rc1
2025-08-14T21:17:58.6911171Z  * [new tag]                 v2.2.0-rc2                  -> v2.2.0-rc2
2025-08-14T21:17:58.6911585Z  * [new tag]                 v2.2.0-rc3                  -> v2.2.0-rc3
2025-08-14T21:17:58.6911990Z  * [new tag]                 v2.2.0-rc4                  -> v2.2.0-rc4
2025-08-14T21:17:58.6912517Z  * [new tag]                 v2.2.0-rc5                  -> v2.2.0-rc5
2025-08-14T21:17:58.6913051Z  * [new tag]                 v2.2.0-rc6                  -> v2.2.0-rc6
2025-08-14T21:17:58.6913290Z  * [new tag]                 v2.2.0-rc7                  -> v2.2.0-rc7
2025-08-14T21:17:58.6913605Z  * [new tag]                 v2.2.0-rc8                  -> v2.2.0-rc8
2025-08-14T21:17:58.6914180Z  * [new tag]                 v2.2.1                      -> v2.2.1
2025-08-14T21:17:58.6914542Z  * [new tag]                 v2.2.1-rc1                  -> v2.2.1-rc1
2025-08-14T21:17:58.6914861Z  * [new tag]                 v2.2.1-rc2                  -> v2.2.1-rc2
2025-08-14T21:17:58.6915235Z  * [new tag]                 v2.2.1-rc3                  -> v2.2.1-rc3
2025-08-14T21:17:58.6915587Z  * [new tag]                 v2.2.2                      -> v2.2.2
2025-08-14T21:17:58.6916166Z  * [new tag]                 v2.2.2-rc1                  -> v2.2.2-rc1
2025-08-14T21:17:58.6916398Z  * [new tag]                 v2.2.2-rc2                  -> v2.2.2-rc2
2025-08-14T21:17:58.6916700Z  * [new tag]                 v2.2.2-rc3                  -> v2.2.2-rc3
2025-08-14T21:17:58.6917222Z  * [new tag]                 v2.3.0                      -> v2.3.0
2025-08-14T21:17:58.6917570Z  * [new tag]                 v2.3.0-rc1                  -> v2.3.0-rc1
2025-08-14T21:17:58.6918156Z  * [new tag]                 v2.3.0-rc10                 -> v2.3.0-rc10
2025-08-14T21:17:58.6918700Z  * [new tag]                 v2.3.0-rc11                 -> v2.3.0-rc11
2025-08-14T21:17:58.6918919Z  * [new tag]                 v2.3.0-rc12                 -> v2.3.0-rc12
2025-08-14T21:17:58.6919451Z  * [new tag]                 v2.3.0-rc2                  -> v2.3.0-rc2
2025-08-14T21:17:58.6919839Z  * [new tag]                 v2.3.0-rc3                  -> v2.3.0-rc3
2025-08-14T21:17:58.6920655Z  * [new tag]                 v2.3.0-rc4                  -> v2.3.0-rc4
2025-08-14T21:17:58.6921085Z  * [new tag]                 v2.3.0-rc5                  -> v2.3.0-rc5
2025-08-14T21:17:58.6921346Z  * [new tag]                 v2.3.0-rc6                  -> v2.3.0-rc6
2025-08-14T21:17:58.6921887Z  * [new tag]                 v2.3.0-rc7                  -> v2.3.0-rc7
2025-08-14T21:17:58.6922233Z  * [new tag]                 v2.3.0-rc8                  -> v2.3.0-rc8
2025-08-14T21:17:58.6922575Z  * [new tag]                 v2.3.0-rc9                  -> v2.3.0-rc9
2025-08-14T21:17:58.6922839Z  * [new tag]                 v2.3.1                      -> v2.3.1
2025-08-14T21:17:58.6923376Z  * [new tag]                 v2.3.1-rc1                  -> v2.3.1-rc1
2025-08-14T21:17:58.6923784Z  * [new tag]                 v2.3.1-rc2                  -> v2.3.1-rc2
2025-08-14T21:17:58.6924314Z  * [new tag]                 v2.3.1-rc3                  -> v2.3.1-rc3
2025-08-14T21:17:58.6924695Z  * [new tag]                 v2.4.0                      -> v2.4.0
2025-08-14T21:17:58.6925369Z  * [new tag]                 v2.4.0-rc1                  -> v2.4.0-rc1
2025-08-14T21:17:58.6925743Z  * [new tag]                 v2.4.0-rc2                  -> v2.4.0-rc2
2025-08-14T21:17:58.6926283Z  * [new tag]                 v2.4.0-rc3                  -> v2.4.0-rc3
2025-08-14T21:17:58.6926653Z  * [new tag]                 v2.4.0-rc4                  -> v2.4.0-rc4
2025-08-14T21:17:58.6927226Z  * [new tag]                 v2.4.0-rc5                  -> v2.4.0-rc5
2025-08-14T21:17:58.6927614Z  * [new tag]                 v2.4.0-rc6                  -> v2.4.0-rc6
2025-08-14T21:17:58.6928176Z  * [new tag]                 v2.4.0-rc7                  -> v2.4.0-rc7
2025-08-14T21:17:58.6928524Z  * [new tag]                 v2.4.0-rc8                  -> v2.4.0-rc8
2025-08-14T21:17:58.6929099Z  * [new tag]                 v2.4.0-rc9                  -> v2.4.0-rc9
2025-08-14T21:17:58.6929383Z  * [new tag]                 v2.4.1                      -> v2.4.1
2025-08-14T21:17:58.6930025Z  * [new tag]                 v2.4.1-rc1                  -> v2.4.1-rc1
2025-08-14T21:17:58.6930400Z  * [new tag]                 v2.4.1-rc2                  -> v2.4.1-rc2
2025-08-14T21:17:58.6931004Z  * [new tag]                 v2.4.1-rc3                  -> v2.4.1-rc3
2025-08-14T21:17:58.6931321Z  * [new tag]                 v2.5.0                      -> v2.5.0
2025-08-14T21:17:58.6931899Z  * [new tag]                 v2.5.0-rc1                  -> v2.5.0-rc1
2025-08-14T21:17:58.6932098Z  * [new tag]                 v2.5.0-rc10                 -> v2.5.0-rc10
2025-08-14T21:17:58.6932656Z  * [new tag]                 v2.5.0-rc2                  -> v2.5.0-rc2
2025-08-14T21:17:58.6932992Z  * [new tag]                 v2.5.0-rc3                  -> v2.5.0-rc3
2025-08-14T21:17:58.6933604Z  * [new tag]                 v2.5.0-rc4                  -> v2.5.0-rc4
2025-08-14T21:17:58.6934003Z  * [new tag]                 v2.5.0-rc5                  -> v2.5.0-rc5
2025-08-14T21:17:58.6934582Z  * [new tag]                 v2.5.0-rc6                  -> v2.5.0-rc6
2025-08-14T21:17:58.6934986Z  * [new tag]                 v2.5.0-rc7                  -> v2.5.0-rc7
2025-08-14T21:17:58.6935547Z  * [new tag]                 v2.5.0-rc8                  -> v2.5.0-rc8
2025-08-14T21:17:58.6935930Z  * [new tag]                 v2.5.0-rc9                  -> v2.5.0-rc9
2025-08-14T21:17:58.6936225Z  * [new tag]                 v2.5.1                      -> v2.5.1
2025-08-14T21:17:58.6936559Z  * [new tag]                 v2.5.1-rc1                  -> v2.5.1-rc1
2025-08-14T21:17:58.6936858Z  * [new tag]                 v2.6.0                      -> v2.6.0
2025-08-14T21:17:58.6937450Z  * [new tag]                 v2.6.0-rc1                  -> v2.6.0-rc1
2025-08-14T21:17:58.6937972Z  * [new tag]                 v2.6.0-rc2                  -> v2.6.0-rc2
2025-08-14T21:17:58.6938553Z  * [new tag]                 v2.6.0-rc3                  -> v2.6.0-rc3
2025-08-14T21:17:58.6938908Z  * [new tag]                 v2.6.0-rc4                  -> v2.6.0-rc4
2025-08-14T21:17:58.6939692Z  * [new tag]                 v2.6.0-rc5                  -> v2.6.0-rc5
2025-08-14T21:17:58.6940251Z  * [new tag]                 v2.6.0-rc6                  -> v2.6.0-rc6
2025-08-14T21:17:58.6940595Z  * [new tag]                 v2.6.0-rc7                  -> v2.6.0-rc7
2025-08-14T21:17:58.6941239Z  * [new tag]                 v2.6.0-rc8                  -> v2.6.0-rc8
2025-08-14T21:17:58.6941611Z  * [new tag]                 v2.6.0-rc9                  -> v2.6.0-rc9
2025-08-14T21:17:58.6942288Z  * [new tag]                 v2.7.0                      -> v2.7.0
2025-08-14T21:17:58.6942701Z  * [new tag]                 v2.7.0-rc1                  -> v2.7.0-rc1
2025-08-14T21:17:58.6943039Z  * [new tag]                 v2.7.0-rc10                 -> v2.7.0-rc10
2025-08-14T21:17:58.6943650Z  * [new tag]                 v2.7.0-rc2                  -> v2.7.0-rc2
2025-08-14T21:17:58.6944058Z  * [new tag]                 v2.7.0-rc3                  -> v2.7.0-rc3
2025-08-14T21:17:58.6944672Z  * [new tag]                 v2.7.0-rc4                  -> v2.7.0-rc4
2025-08-14T21:17:58.6945041Z  * [new tag]                 v2.7.0-rc5                  -> v2.7.0-rc5
2025-08-14T21:17:58.6945571Z  * [new tag]                 v2.7.0-rc6                  -> v2.7.0-rc6
2025-08-14T21:17:58.6945938Z  * [new tag]                 v2.7.0-rc7                  -> v2.7.0-rc7
2025-08-14T21:17:58.6946536Z  * [new tag]                 v2.7.0-rc8                  -> v2.7.0-rc8
2025-08-14T21:17:58.6946947Z  * [new tag]                 v2.7.0-rc9                  -> v2.7.0-rc9
2025-08-14T21:17:58.6947244Z  * [new tag]                 v2.7.1                      -> v2.7.1
2025-08-14T21:17:58.6947856Z  * [new tag]                 v2.7.1-rc1                  -> v2.7.1-rc1
2025-08-14T21:17:58.6948269Z  * [new tag]                 v2.7.1-rc2                  -> v2.7.1-rc2
2025-08-14T21:17:58.6948886Z  * [new tag]                 v2.7.1-rc3                  -> v2.7.1-rc3
2025-08-14T21:17:58.6949409Z  * [new tag]                 v2.7.1-rc4                  -> v2.7.1-rc4
2025-08-14T21:17:58.6949803Z  * [new tag]                 v2.7.1-rc5                  -> v2.7.1-rc5
2025-08-14T21:17:58.6950517Z  * [new tag]                 v2.8.0                      -> v2.8.0
2025-08-14T21:17:58.6950910Z  * [new tag]                 v2.8.0-rc1                  -> v2.8.0-rc1
2025-08-14T21:17:58.6951442Z  * [new tag]                 v2.8.0-rc2                  -> v2.8.0-rc2
2025-08-14T21:17:58.6951897Z  * [new tag]                 v2.8.0-rc3                  -> v2.8.0-rc3
2025-08-14T21:17:58.6952459Z  * [new tag]                 v2.8.0-rc4                  -> v2.8.0-rc4
2025-08-14T21:17:58.6952984Z  * [new tag]                 v2.8.0-rc5                  -> v2.8.0-rc5
2025-08-14T21:17:58.6953622Z  * [new tag]                 v2.8.0-rc6                  -> v2.8.0-rc6
2025-08-14T21:17:58.6954014Z  * [new tag]                 v2.8.0-rc7                  -> v2.8.0-rc7
2025-08-14T21:17:58.6954559Z  * [new tag]                 v2.8.0-rc8                  -> v2.8.0-rc8
2025-08-14T21:17:58.6954949Z  * [new tag]                 whc_flight_1                -> whc_flight_1
2025-08-14T21:17:58.6955218Z  * [new tag]                 whc_flight_2                -> whc_flight_2
2025-08-14T21:17:58.6955650Z  * [new tag]                 whc_flight_4                -> whc_flight_4
2025-08-14T21:17:58.7365379Z [command]/usr/bin/git rev-parse --verify --quiet 1fc683cf17c8c673044538d10266c00f92987be2^{object}
2025-08-14T21:17:58.7383323Z 1fc683cf17c8c673044538d10266c00f92987be2
2025-08-14T21:17:58.7385817Z ##[endgroup]
2025-08-14T21:17:58.7386002Z ##[group]Determining the checkout info
2025-08-14T21:17:58.7386752Z ##[endgroup]
2025-08-14T21:17:58.7389305Z [command]/usr/bin/git sparse-checkout disable
2025-08-14T21:17:58.7423867Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig
2025-08-14T21:17:58.7445270Z ##[group]Checking out the ref
2025-08-14T21:17:58.7448396Z [command]/usr/bin/git checkout --progress --force 1fc683cf17c8c673044538d10266c00f92987be2
2025-08-14T21:17:59.6793023Z Note: switching to '1fc683cf17c8c673044538d10266c00f92987be2'.
2025-08-14T21:17:59.6793591Z 
2025-08-14T21:17:59.6793930Z You are in 'detached HEAD' state. You can look around, make experimental
2025-08-14T21:17:59.6794280Z changes and commit them, and you can discard any commits you make in this
2025-08-14T21:17:59.6794616Z state without impacting any branches by switching back to a branch.
2025-08-14T21:17:59.6794833Z 
2025-08-14T21:17:59.6794963Z If you want to create a new branch to retain commits you create, you may
2025-08-14T21:17:59.6795260Z do so (now or later) by using -c with the switch command. Example:
2025-08-14T21:17:59.6795425Z 
2025-08-14T21:17:59.6795517Z   git switch -c <new-branch-name>
2025-08-14T21:17:59.6795639Z 
2025-08-14T21:17:59.6795716Z Or undo this operation with:
2025-08-14T21:17:59.6795836Z 
2025-08-14T21:17:59.6795901Z   git switch -
2025-08-14T21:17:59.6795990Z 
2025-08-14T21:17:59.6796138Z Turn off this advice by setting config variable advice.detachedHead to false
2025-08-14T21:17:59.6796339Z 
2025-08-14T21:17:59.6796560Z HEAD is now at 1fc683cf17c [Inductor] Allow indexing a flexible layout for extract_input_node_reduction_ranges (#160645)
2025-08-14T21:17:59.6833336Z ##[endgroup]
2025-08-14T21:17:59.6833616Z ##[group]Setting up auth for fetching submodules
2025-08-14T21:17:59.6839723Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic ***
2025-08-14T21:17:59.6881504Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf
2025-08-14T21:17:59.6900142Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com:
2025-08-14T21:17:59.6920712Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com:
2025-08-14T21:17:59.6938994Z ##[endgroup]
2025-08-14T21:17:59.6939249Z ##[group]Fetching submodules
2025-08-14T21:17:59.6941564Z [command]/usr/bin/git submodule sync --recursive
2025-08-14T21:17:59.7202156Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive
2025-08-14T21:17:59.7463506Z Submodule 'android/libs/fbjni' (https://github.com/facebookincubator/fbjni.git) registered for path 'android/libs/fbjni'
2025-08-14T21:17:59.7464087Z Submodule 'third_party/NNPACK_deps/FP16' (https://github.com/Maratyszcza/FP16.git) registered for path 'third_party/FP16'
2025-08-14T21:17:59.7464891Z Submodule 'third_party/NNPACK_deps/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'third_party/FXdiv'
2025-08-14T21:17:59.7465448Z Submodule 'third_party/NNPACK' (https://github.com/Maratyszcza/NNPACK.git) registered for path 'third_party/NNPACK'
2025-08-14T21:17:59.7466627Z Submodule 'third_party/NVTX' (https://github.com/NVIDIA/NVTX.git) registered for path 'third_party/NVTX'
2025-08-14T21:17:59.7468388Z Submodule 'third_party/VulkanMemoryAllocator' (https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator.git) registered for path 'third_party/VulkanMemoryAllocator'
2025-08-14T21:17:59.7470294Z Submodule 'third_party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'third_party/XNNPACK'
2025-08-14T21:17:59.7472509Z Submodule 'third_party/aiter' (https://github.com/ROCm/aiter.git) registered for path 'third_party/aiter'
2025-08-14T21:17:59.7473892Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/benchmark'
2025-08-14T21:17:59.7475668Z Submodule 'third_party/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/composable_kernel'
2025-08-14T21:17:59.7477424Z Submodule 'third_party/cpp-httplib' (https://github.com/yhirose/cpp-httplib.git) registered for path 'third_party/cpp-httplib'
2025-08-14T21:17:59.7479101Z Submodule 'third_party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'third_party/cpuinfo'
2025-08-14T21:17:59.7481876Z Submodule 'third_party/cudnn_frontend' (https://github.com/NVIDIA/cudnn-frontend.git) registered for path 'third_party/cudnn_frontend'
2025-08-14T21:17:59.7483426Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/cutlass'
2025-08-14T21:17:59.7485225Z Submodule 'third_party/fbgemm' (https://github.com/pytorch/fbgemm) registered for path 'third_party/fbgemm'
2025-08-14T21:17:59.7487158Z Submodule 'third_party/flash-attention' (https://github.com/Dao-AILab/flash-attention.git) registered for path 'third_party/flash-attention'
2025-08-14T21:17:59.7490112Z Submodule 'third_party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'third_party/flatbuffers'
2025-08-14T21:17:59.7492062Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/fmt'
2025-08-14T21:17:59.7838893Z Submodule 'third_party/gemmlowp/gemmlowp' (https://github.com/google/gemmlowp.git) registered for path 'third_party/gemmlowp/gemmlowp'
2025-08-14T21:17:59.7840582Z Submodule 'third_party/gloo' (https://github.com/pytorch/gloo) registered for path 'third_party/gloo'
2025-08-14T21:17:59.7841082Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest'
2025-08-14T21:17:59.7843099Z Submodule 'third_party/ideep' (https://github.com/intel/ideep) registered for path 'third_party/ideep'
2025-08-14T21:17:59.7844990Z Submodule 'third_party/ittapi' (https://github.com/intel/ittapi.git) registered for path 'third_party/ittapi'
2025-08-14T21:17:59.7847183Z Submodule 'third_party/kineto' (https://github.com/pytorch/kineto) registered for path 'third_party/kineto'
2025-08-14T21:17:59.7849454Z Submodule 'third_party/kleidiai' (https://github.com/ARM-software/kleidiai.git) registered for path 'third_party/kleidiai'
2025-08-14T21:17:59.7851673Z Submodule 'third_party/mimalloc' (https://github.com/microsoft/mimalloc.git) registered for path 'third_party/mimalloc'
2025-08-14T21:17:59.7854042Z Submodule 'third_party/nlohmann' (https://github.com/nlohmann/json.git) registered for path 'third_party/nlohmann'
2025-08-14T21:17:59.7856873Z Submodule 'third_party/onnx' (https://github.com/onnx/onnx.git) registered for path 'third_party/onnx'
2025-08-14T21:17:59.7859462Z Submodule 'third_party/opentelemetry-cpp' (https://github.com/open-telemetry/opentelemetry-cpp.git) registered for path 'third_party/opentelemetry-cpp'
2025-08-14T21:17:59.7861821Z Submodule 'third_party/pocketfft' (https://github.com/mreineck/pocketfft) registered for path 'third_party/pocketfft'
2025-08-14T21:17:59.7864330Z Submodule 'third_party/protobuf' (https://github.com/protocolbuffers/protobuf.git) registered for path 'third_party/protobuf'
2025-08-14T21:17:59.7866838Z Submodule 'third_party/NNPACK_deps/psimd' (https://github.com/Maratyszcza/psimd.git) registered for path 'third_party/psimd'
2025-08-14T21:17:59.7869506Z Submodule 'third_party/NNPACK_deps/pthreadpool' (https://github.com/Maratyszcza/pthreadpool.git) registered for path 'third_party/pthreadpool'
2025-08-14T21:17:59.7872548Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/pybind11'
2025-08-14T21:17:59.7876526Z Submodule 'third_party/python-peachpy' (https://github.com/malfet/PeachPy.git) registered for path 'third_party/python-peachpy'
2025-08-14T21:17:59.7879460Z Submodule 'third_party/sleef' (https://github.com/shibatch/sleef) registered for path 'third_party/sleef'
2025-08-14T21:17:59.7882327Z Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe.git) registered for path 'third_party/tensorpipe'
2025-08-14T21:17:59.7904596Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/android/libs/fbjni'...
2025-08-14T21:17:59.9971715Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FXdiv'...
2025-08-14T21:17:59.9972424Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FP16'...
2025-08-14T21:17:59.9972868Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/psimd'...
2025-08-14T21:18:00.0158255Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NNPACK'...
2025-08-14T21:18:00.0222536Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pocketfft'...
2025-08-14T21:18:00.0400543Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NVTX'...
2025-08-14T21:18:00.1951377Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pthreadpool'...
2025-08-14T21:18:00.1951985Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/python-peachpy'...
2025-08-14T21:18:00.1952521Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep'...
2025-08-14T21:18:00.1952983Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gloo'...
2025-08-14T21:18:00.1953497Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kleidiai'...
2025-08-14T21:18:00.1954000Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gemmlowp/gemmlowp'...
2025-08-14T21:18:00.1954505Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/benchmark'...
2025-08-14T21:18:00.1954984Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe'...
2025-08-14T21:18:00.1955431Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ittapi'...
2025-08-14T21:18:00.2435942Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/VulkanMemoryAllocator'...
2025-08-14T21:18:00.9999345Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention'...
2025-08-14T21:18:00.9999942Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpp-httplib'...
2025-08-14T21:18:01.0000462Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpuinfo'...
2025-08-14T21:18:01.0000948Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/sleef'...
2025-08-14T21:18:01.0001447Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/googletest'...
2025-08-14T21:18:01.0001940Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/mimalloc'...
2025-08-14T21:18:01.0002380Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pybind11'...
2025-08-14T21:18:01.0003083Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cudnn_frontend'...
2025-08-14T21:18:01.0003600Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fmt'...
2025-08-14T21:18:01.0004114Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto'...
2025-08-14T21:18:01.1000915Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/XNNPACK'...
2025-08-14T21:18:09.2628614Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flatbuffers'...
2025-08-14T21:18:09.2629128Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm'...
2025-08-14T21:18:09.2629545Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cutlass'...
2025-08-14T21:18:09.2629942Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx'...
2025-08-14T21:18:09.2630382Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/composable_kernel'...
2025-08-14T21:18:09.2630817Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter'...
2025-08-14T21:18:09.2631224Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp'...
2025-08-14T21:18:09.2631620Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/nlohmann'...
2025-08-14T21:18:09.2632005Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf'...
2025-08-14T21:18:09.2748466Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f'
2025-08-14T21:18:09.2837003Z Submodule path 'third_party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3'
2025-08-14T21:18:09.2909994Z Submodule path 'third_party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1'
2025-08-14T21:18:09.3089836Z Submodule path 'third_party/NNPACK': checked out 'c07e3a0400713d546e0dea2d5466dd22ea389c73'
2025-08-14T21:18:09.3702858Z Submodule path 'third_party/NVTX': checked out '2942f167cc30c5e3a44a2aecd5b0d9c07ff61a07'
2025-08-14T21:18:09.4105110Z Submodule path 'third_party/VulkanMemoryAllocator': checked out '1d8f600fd424278486eade7ed3e877c99f0846b1'
2025-08-14T21:18:09.8969956Z Submodule path 'third_party/XNNPACK': checked out '51a0103656eff6fc9bfd39a4597923c4b542c883'
2025-08-14T21:18:10.0100499Z Submodule path 'third_party/aiter': checked out '01aae101b9e5e94d6c16a9514c9fb8df99c93150'
2025-08-14T21:18:10.0111827Z Submodule '3rdparty/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/aiter/3rdparty/composable_kernel'
2025-08-14T21:18:10.0132471Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter/3rdparty/composable_kernel'...
2025-08-14T21:18:12.6039138Z Submodule path 'third_party/aiter/3rdparty/composable_kernel': checked out 'cffe8fa2a442ac8e80dd236a1a5d24fe3d7e0cbf'
2025-08-14T21:18:12.6210239Z Submodule path 'third_party/benchmark': checked out '299e5928955cc62af9968370293b916f5130916f'
2025-08-14T21:18:12.8398430Z Submodule path 'third_party/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977'
2025-08-14T21:18:12.8788799Z Submodule path 'third_party/cpp-httplib': checked out '3af7f2c16147f3fbc6e4d717032daf505dc1652c'
2025-08-14T21:18:12.9554141Z Submodule path 'third_party/cpuinfo': checked out '5e3d2445e6a84d9599bee2bf78edbb4d80865e1d'
2025-08-14T21:18:12.9898626Z Submodule path 'third_party/cudnn_frontend': checked out 'f937055efc6d414d11f4c6577e3977fe74f35fb6'
2025-08-14T21:18:13.4731586Z Submodule path 'third_party/cutlass': checked out 'e51efbfe18fe4f4cbb66ab814c55bf4aa0185491'
2025-08-14T21:18:13.5742860Z Submodule path 'third_party/fbgemm': checked out '21c7d30c526c0f1ad873ecc632dca6cfa8a69067'
2025-08-14T21:18:13.5755286Z Submodule 'external/asmjit' (https://github.com/asmjit/asmjit.git) registered for path 'third_party/fbgemm/external/asmjit'
2025-08-14T21:18:13.5756552Z Submodule 'external/composable_kernel' (https://github.com/jwfromm/composable_kernel.git) registered for path 'third_party/fbgemm/external/composable_kernel'
2025-08-14T21:18:13.5757727Z Submodule 'external/cpuinfo' (https://github.com/pytorch/cpuinfo) registered for path 'third_party/fbgemm/external/cpuinfo'
2025-08-14T21:18:13.5759069Z Submodule 'external/cutlass' (https://github.com/jwfromm/cutlass) registered for path 'third_party/fbgemm/external/cutlass'
2025-08-14T21:18:13.5760416Z Submodule 'external/googletest' (https://github.com/google/googletest) registered for path 'third_party/fbgemm/external/googletest'
2025-08-14T21:18:13.5761872Z Submodule 'external/hipify_torch' (https://github.com/ROCmSoftwarePlatform/hipify_torch.git) registered for path 'third_party/fbgemm/external/hipify_torch'
2025-08-14T21:18:13.5763205Z Submodule 'external/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/fbgemm/external/json'
2025-08-14T21:18:13.5785341Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/asmjit'...
2025-08-14T21:18:14.7084726Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/hipify_torch'...
2025-08-14T21:18:14.7085325Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cpuinfo'...
2025-08-14T21:18:14.7085878Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/googletest'...
2025-08-14T21:18:14.7086371Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/composable_kernel'...
2025-08-14T21:18:14.8086240Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cutlass'...
2025-08-14T21:18:15.2871383Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/json'...
2025-08-14T21:18:18.7323470Z Submodule path 'third_party/fbgemm/external/asmjit': checked out 'a3199e8857792cd10b7589ff5d58343d2c9008ea'
2025-08-14T21:18:18.9138730Z Submodule path 'third_party/fbgemm/external/composable_kernel': checked out 'b1281b8b08d973a7064f864f47eeb30f3e2596e9'
2025-08-14T21:18:18.9917115Z Submodule path 'third_party/fbgemm/external/cpuinfo': checked out '6543fec09b2f04ac4a666882998b534afc9c1349'
2025-08-14T21:18:19.4612468Z Submodule path 'third_party/fbgemm/external/cutlass': checked out 'b40777404c174b9694a870bff5c13ce6b7f656ad'
2025-08-14T21:18:19.4968544Z Submodule path 'third_party/fbgemm/external/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723'
2025-08-14T21:18:19.5056755Z Submodule path 'third_party/fbgemm/external/hipify_torch': checked out 'a4337c69fe0e2552a7b7b0669178926beeed828c'
2025-08-14T21:18:19.5854822Z Submodule path 'third_party/fbgemm/external/json': checked out '9cca280a4d0ccf0c08f47a99aa71d1b0e52f8d03'
2025-08-14T21:18:19.6373701Z Submodule path 'third_party/flash-attention': checked out '979702c87a8713a8e0a5e9fee122b90d2ef13be5'
2025-08-14T21:18:19.6386397Z Submodule 'csrc/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/flash-attention/csrc/composable_kernel'
2025-08-14T21:18:19.6387050Z Submodule 'csrc/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/flash-attention/csrc/cutlass'
2025-08-14T21:18:19.6407337Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/composable_kernel'...
2025-08-14T21:18:22.0182350Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/cutlass'...
2025-08-14T21:18:22.1839239Z Submodule path 'third_party/flash-attention/csrc/composable_kernel': checked out '888317e698e9803c62bd38568abc9e05d7709f33'
2025-08-14T21:18:22.6105331Z Submodule path 'third_party/flash-attention/csrc/cutlass': checked out 'c506e16788cb08416a4a57e11a9067beeee29420'
2025-08-14T21:18:22.7083597Z Submodule path 'third_party/flatbuffers': checked out 'a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757'
2025-08-14T21:18:22.7339358Z Submodule path 'third_party/fmt': checked out '40626af88bd7df9a5fb80be7b25ac85b122d6c21'
2025-08-14T21:18:22.7641124Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350'
2025-08-14T21:18:22.7825359Z Submodule path 'third_party/gloo': checked out 'c7b7b022c124d9643957d9bd55f57ac59fce8fa2'
2025-08-14T21:18:22.8175280Z Submodule path 'third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723'
2025-08-14T21:18:22.8274226Z Submodule path 'third_party/ideep': checked out '719d8e6cd7f7a0e01b155657526d693acf97c2b3'
2025-08-14T21:18:22.8283892Z Submodule 'mkl-dnn' (https://github.com/intel/mkl-dnn.git) registered for path 'third_party/ideep/mkl-dnn'
2025-08-14T21:18:22.8303034Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep/mkl-dnn'...
2025-08-14T21:18:31.1567623Z Submodule path 'third_party/ideep/mkl-dnn': checked out '8d263e693366ef8db40acc569cc7d8edf644556d'
2025-08-14T21:18:31.1717221Z Submodule path 'third_party/ittapi': checked out 'dec1d23ca65ab069d225dfe40dea14f455170959'
2025-08-14T21:18:31.2472943Z Submodule path 'third_party/kineto': checked out '5e7501833f1021ce6f618572d3baf657b6319658'
2025-08-14T21:18:31.2483429Z Submodule 'libkineto/third_party/dynolog' (https://github.com/facebookincubator/dynolog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog'
2025-08-14T21:18:31.2484434Z Submodule 'libkineto/third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/fmt'
2025-08-14T21:18:31.2486075Z Submodule 'libkineto/third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/googletest'
2025-08-14T21:18:31.2508206Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog'...
2025-08-14T21:18:31.9586773Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/fmt'...
2025-08-14T21:18:32.3141923Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/googletest'...
2025-08-14T21:18:32.3795184Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out '7d04a0053a845370ae06ce317a22a48e9edcc74e'
2025-08-14T21:18:32.3806003Z Submodule 'third_party/DCGM' (https://github.com/NVIDIA/DCGM.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-08-14T21:18:32.3806858Z Submodule 'third_party/cpr' (https://github.com/libcpr/cpr.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-08-14T21:18:32.3808922Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-08-14T21:18:32.3809854Z Submodule 'third_party/gflags' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-08-14T21:18:32.3811238Z Submodule 'third_party/glog' (https://github.com/google/glog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-08-14T21:18:32.3812700Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-08-14T21:18:32.3814207Z Submodule 'third_party/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-08-14T21:18:32.3815715Z Submodule 'third_party/pfs' (https://github.com/dtrugman/pfs.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-08-14T21:18:32.3837863Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'...
2025-08-14T21:18:33.7354538Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'...
2025-08-14T21:18:33.7355783Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'...
2025-08-14T21:18:33.7356495Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'...
2025-08-14T21:18:33.7357179Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/glog'...
2025-08-14T21:18:33.7357961Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'...
2025-08-14T21:18:33.7358670Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'...
2025-08-14T21:18:33.8354291Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/json'...
2025-08-14T21:18:39.3308444Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9'
2025-08-14T21:18:39.3438132Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400'
2025-08-14T21:18:39.3714555Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05'
2025-08-14T21:18:39.3820012Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067'
2025-08-14T21:18:39.3829388Z Submodule 'doc' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-08-14T21:18:39.3851534Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'...
2025-08-14T21:18:39.6368331Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc': checked out '8411df715cf522606e3b1aca386ddfc0b63d34b4'
2025-08-14T21:18:39.6513434Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog': checked out 'b33e3bad4c46c8a6345525fd822af355e5ef9446'
2025-08-14T21:18:39.6831685Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest': checked out '58d77fa8070e8cec2dc1ed015d66b454c8d78850'
2025-08-14T21:18:39.7623726Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json': checked out '4f8fba14066156b73f1189a2b8bd568bde5284c5'
2025-08-14T21:18:39.7745529Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs': checked out 'f68a2fa8ea36c783bdd760371411fcb495aa3150'
2025-08-14T21:18:39.8053490Z Submodule path 'third_party/kineto/libkineto/third_party/fmt': checked out '0041a40c1350ba702d475b9c4ad62da77caea164'
2025-08-14T21:18:39.8515808Z Submodule path 'third_party/kineto/libkineto/third_party/googletest': checked out '7aca84427f224eeed3144123d5230d5871e93347'
2025-08-14T21:18:39.8839363Z Submodule path 'third_party/kleidiai': checked out 'cca02c2f69dd18e1f12647c1c0bdc8cf90e680c7'
2025-08-14T21:18:39.9133403Z Submodule path 'third_party/mimalloc': checked out 'fbd8b99c2b828428947d70fdc046bb55609be93e'
2025-08-14T21:18:39.9994843Z Submodule path 'third_party/nlohmann': checked out '55f93686c01528224f448c19128836e7df245f72'
2025-08-14T21:18:40.2568338Z Submodule path 'third_party/onnx': checked out 'e709452ef2bbc1d113faf678c24e6d3467696e83'
2025-08-14T21:18:40.2591006Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/onnx/third_party/pybind11'
2025-08-14T21:18:40.2612627Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx/third_party/pybind11'...
2025-08-14T21:18:41.0018796Z Submodule path 'third_party/onnx/third_party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4'
2025-08-14T21:18:41.0502342Z Submodule path 'third_party/opentelemetry-cpp': checked out 'a799f4aed9c94b765dcdaabaeab7d5e7e2310878'
2025-08-14T21:18:41.0512362Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark) registered for path 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-08-14T21:18:41.0513497Z Submodule 'third_party/googletest' (https://github.com/google/googletest) registered for path 'third_party/opentelemetry-cpp/third_party/googletest'
2025-08-14T21:18:41.0514946Z Submodule 'third_party/ms-gsl' (https://github.com/microsoft/GSL) registered for path 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-08-14T21:18:41.0516297Z Submodule 'third_party/nlohmann-json' (https://github.com/nlohmann/json) registered for path 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-08-14T21:18:41.0517855Z Submodule 'third_party/opentelemetry-proto' (https://github.com/open-telemetry/opentelemetry-proto) registered for path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-08-14T21:18:41.0519140Z Submodule 'third_party/opentracing-cpp' (https://github.com/opentracing/opentracing-cpp.git) registered for path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-08-14T21:18:41.0520503Z Submodule 'third_party/prometheus-cpp' (https://github.com/jupp0r/prometheus-cpp) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-08-14T21:18:41.0521956Z Submodule 'tools/vcpkg' (https://github.com/Microsoft/vcpkg) registered for path 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-08-14T21:18:41.0545059Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/benchmark'...
2025-08-14T21:18:41.4163782Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentracing-cpp'...
2025-08-14T21:18:41.4164584Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentelemetry-proto'...
2025-08-14T21:18:41.4165290Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/ms-gsl'...
2025-08-14T21:18:41.4165955Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp'...
2025-08-14T21:18:41.5165373Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/googletest'...
2025-08-14T21:18:41.9106106Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/nlohmann-json'...
2025-08-14T21:18:48.4314328Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/tools/vcpkg'...
2025-08-14T21:18:48.4462646Z Submodule path 'third_party/opentelemetry-cpp/third_party/benchmark': checked out 'd572f4777349d43653b21d6c2fc63020ab326db2'
2025-08-14T21:18:48.4779111Z Submodule path 'third_party/opentelemetry-cpp/third_party/googletest': checked out 'b796f7d44681514f58a683a3a71ff17c94edb0c1'
2025-08-14T21:18:48.4911894Z Submodule path 'third_party/opentelemetry-cpp/third_party/ms-gsl': checked out '6f4529395c5b7c2d661812257cd6780c67e54afa'
2025-08-14T21:18:48.5732797Z Submodule path 'third_party/opentelemetry-cpp/third_party/nlohmann-json': checked out 'bc889afb4c5bf1c0d8ee29ef35eaaf4c8bef8a5d'
2025-08-14T21:18:48.5834638Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto': checked out '4ca4f0335c63cda7ab31ea7ed70d6553aee14dce'
2025-08-14T21:18:48.5948173Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp': checked out '06b57f48ded1fa3bdd3d4346f6ef29e40e08eaf5'
2025-08-14T21:18:48.6065999Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp': checked out 'c9ffcdda9086ffd9e1283ea7a0276d831f3c8a8d'
2025-08-14T21:18:48.6079477Z Submodule 'civetweb' (https://github.com/civetweb/civetweb.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-08-14T21:18:48.6080522Z Submodule 'googletest' (https://github.com/google/googletest.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-08-14T21:18:48.6099529Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'...
2025-08-14T21:18:50.2444312Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'...
2025-08-14T21:18:50.4406586Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb': checked out 'eefb26f82b233268fc98577d265352720d477ba4'
2025-08-14T21:18:50.4762071Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929'
2025-08-14T21:18:50.7711558Z Submodule path 'third_party/opentelemetry-cpp/tools/vcpkg': checked out '8eb57355a4ffb410a2e94c07b4dca2dffbee8e50'
2025-08-14T21:18:50.7802201Z Submodule path 'third_party/pocketfft': checked out '0fa0ef591e38c2758e3184c6c23e497b9f732ffa'
2025-08-14T21:18:50.9823729Z Submodule path 'third_party/protobuf': checked out 'd1eca4e4b421cd2997495c4b4e65cea6be4e9b8a'
2025-08-14T21:18:50.9835826Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/protobuf/third_party/benchmark'
2025-08-14T21:18:50.9837050Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/protobuf/third_party/googletest'
2025-08-14T21:18:50.9858774Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf/third_party/benchmark'...
2025-08-14T21:18:52.1148505Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf/third_party/googletest'...
2025-08-14T21:18:52.1248342Z Submodule path 'third_party/protobuf/third_party/benchmark': checked out '5b7683f49e1e9223cf9927b24f6fd3d6bd82e3f8'
2025-08-14T21:18:52.1807525Z Submodule path 'third_party/protobuf/third_party/googletest': checked out '5ec7f0c4a113e2f18ac2c6cc7df51ad6afc24081'
2025-08-14T21:18:52.1878689Z Submodule path 'third_party/psimd': checked out '072586a71b55b7f8c584153d223e95687148a900'
2025-08-14T21:18:52.2675878Z Submodule path 'third_party/pthreadpool': checked out '4fe0e1e183925bf8cfa6aae24237e724a96479b8'
2025-08-14T21:18:52.2960891Z Submodule path 'third_party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4'
2025-08-14T21:18:52.3170223Z Submodule path 'third_party/python-peachpy': checked out 'f45429b087dd7d5bc78bb40dc7cf06425c252d67'
2025-08-14T21:18:52.3505227Z Submodule path 'third_party/sleef': checked out '5a1d179df9cf652951b59010a2d2075372d67f68'
2025-08-14T21:18:52.3693474Z Submodule path 'third_party/tensorpipe': checked out 'dacda0567d9f23d4bc503e1c4f84aa65f33ac38a'
2025-08-14T21:18:52.3702089Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/tensorpipe/third_party/googletest'
2025-08-14T21:18:52.3703155Z Submodule 'third_party/libnop' (https://github.com/google/libnop.git) registered for path 'third_party/tensorpipe/third_party/libnop'
2025-08-14T21:18:52.3704459Z Submodule 'third_party/libuv' (https://github.com/libuv/libuv.git) registered for path 'third_party/tensorpipe/third_party/libuv'
2025-08-14T21:18:52.3705747Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/tensorpipe/third_party/pybind11'
2025-08-14T21:18:52.3726481Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/googletest'...
2025-08-14T21:18:53.8239558Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/libnop'...
2025-08-14T21:18:53.8240209Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/pybind11'...
2025-08-14T21:18:53.8241469Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/libuv'...
2025-08-14T21:18:53.8695998Z Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e'
2025-08-14T21:18:53.8812143Z Submodule path 'third_party/tensorpipe/third_party/libnop': checked out '910b55815be16109f04f4180e9adee14fb4ce281'
2025-08-14T21:18:53.9369962Z Submodule path 'third_party/tensorpipe/third_party/libuv': checked out '5152db2cbfeb5582e9c27c5ea1dba2cd9e10759b'
2025-08-14T21:18:53.9586738Z Submodule path 'third_party/tensorpipe/third_party/pybind11': checked out 'a23996fce38ff6ccfbcdc09f1e63f2c4be5ea2ef'
2025-08-14T21:18:53.9597177Z Submodule 'tools/clang' (https://github.com/wjakob/clang-cindex-python3) registered for path 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-08-14T21:18:53.9618145Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/pybind11/tools/clang'...
2025-08-14T21:18:54.3382447Z Submodule path 'third_party/tensorpipe/third_party/pybind11/tools/clang': checked out '6a00cbc4a9b8e68b71caf7f774b3f9c753ae84d5'
2025-08-14T21:18:54.3415684Z [command]/usr/bin/git submodule foreach --recursive git config --local gc.auto 0
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2025-08-14T21:18:54.6341893Z ##[endgroup]
2025-08-14T21:18:54.6342202Z ##[group]Persisting credentials for submodules
2025-08-14T21:18:54.6349267Z [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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2025-08-14T21:18:54.8840414Z Entering 'third_party/onnx/third_party/pybind11'
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2025-08-14T21:18:54.9011708Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-08-14T21:18:54.9055980Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-08-14T21:18:54.9105407Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-08-14T21:18:54.9148816Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-08-14T21:18:54.9191150Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-08-14T21:18:54.9233016Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-08-14T21:18:54.9278711Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-08-14T21:18:54.9321403Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
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2025-08-14T21:18:54.9507644Z Entering 'third_party/protobuf/third_party/googletest'
2025-08-14T21:18:54.9552367Z Entering 'third_party/psimd'
2025-08-14T21:18:54.9595468Z Entering 'third_party/pthreadpool'
2025-08-14T21:18:54.9638468Z Entering 'third_party/pybind11'
2025-08-14T21:18:54.9683477Z Entering 'third_party/python-peachpy'
2025-08-14T21:18:54.9726355Z Entering 'third_party/sleef'
2025-08-14T21:18:54.9772077Z Entering 'third_party/tensorpipe'
2025-08-14T21:18:54.9814701Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-08-14T21:18:54.9855377Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-08-14T21:18:54.9896010Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-08-14T21:18:54.9936221Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-08-14T21:18:54.9977508Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-08-14T21:18:55.0043397Z [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"
2025-08-14T21:18:55.0292833Z Entering 'android/libs/fbjni'
2025-08-14T21:18:55.0333319Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/android/libs/fbjni/config	remote.origin.url
2025-08-14T21:18:55.0345907Z Entering 'third_party/FP16'
2025-08-14T21:18:55.0388165Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FP16/config	remote.origin.url
2025-08-14T21:18:55.0400219Z Entering 'third_party/FXdiv'
2025-08-14T21:18:55.0438161Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FXdiv/config	remote.origin.url
2025-08-14T21:18:55.0449824Z Entering 'third_party/NNPACK'
2025-08-14T21:18:55.0491763Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK/config	remote.origin.url
2025-08-14T21:18:55.0505925Z Entering 'third_party/NVTX'
2025-08-14T21:18:55.0544409Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NVTX/config	remote.origin.url
2025-08-14T21:18:55.0558320Z Entering 'third_party/VulkanMemoryAllocator'
2025-08-14T21:18:55.0602529Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/VulkanMemoryAllocator/config	remote.origin.url
2025-08-14T21:18:55.0614323Z Entering 'third_party/XNNPACK'
2025-08-14T21:18:55.0654163Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/XNNPACK/config	remote.origin.url
2025-08-14T21:18:55.0676604Z Entering 'third_party/aiter'
2025-08-14T21:18:55.0714607Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/aiter/config	remote.origin.url
2025-08-14T21:18:55.0726868Z Entering 'third_party/aiter/3rdparty/composable_kernel'
2025-08-14T21:18:55.0762864Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/aiter/modules/3rdparty/composable_kernel/config	remote.origin.url
2025-08-14T21:18:55.0782226Z Entering 'third_party/benchmark'
2025-08-14T21:18:55.0823117Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/benchmark/config	remote.origin.url
2025-08-14T21:18:55.0836032Z Entering 'third_party/composable_kernel'
2025-08-14T21:18:55.0878190Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/composable_kernel/config	remote.origin.url
2025-08-14T21:18:55.0895327Z Entering 'third_party/cpp-httplib'
2025-08-14T21:18:55.0935966Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/cpp-httplib/config	remote.origin.url
2025-08-14T21:18:55.0949439Z Entering 'third_party/cpuinfo'
2025-08-14T21:18:55.0992211Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/cpuinfo/config	remote.origin.url
2025-08-14T21:18:55.1004056Z Entering 'third_party/cudnn_frontend'
2025-08-14T21:18:55.1043408Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/cudnn_frontend/config	remote.origin.url
2025-08-14T21:18:55.1057182Z Entering 'third_party/cutlass'
2025-08-14T21:18:55.1097482Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/cutlass/config	remote.origin.url
2025-08-14T21:18:55.1116024Z Entering 'third_party/fbgemm'
2025-08-14T21:18:55.1154397Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/config	remote.origin.url
2025-08-14T21:18:55.1167527Z Entering 'third_party/fbgemm/external/asmjit'
2025-08-14T21:18:55.1209145Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/asmjit/config	remote.origin.url
2025-08-14T21:18:55.1221788Z Entering 'third_party/fbgemm/external/composable_kernel'
2025-08-14T21:18:55.1262201Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/composable_kernel/config	remote.origin.url
2025-08-14T21:18:55.1279847Z Entering 'third_party/fbgemm/external/cpuinfo'
2025-08-14T21:18:55.1314529Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/cpuinfo/config	remote.origin.url
2025-08-14T21:18:55.1330448Z Entering 'third_party/fbgemm/external/cutlass'
2025-08-14T21:18:55.1365821Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/cutlass/config	remote.origin.url
2025-08-14T21:18:55.1385434Z Entering 'third_party/fbgemm/external/googletest'
2025-08-14T21:18:55.1425285Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/googletest/config	remote.origin.url
2025-08-14T21:18:55.1436169Z Entering 'third_party/fbgemm/external/hipify_torch'
2025-08-14T21:18:55.1477609Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/hipify_torch/config	remote.origin.url
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2025-08-14T21:18:55.7382721Z Entering 'third_party/opentelemetry-cpp'
2025-08-14T21:18:55.7416639Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-08-14T21:18:55.7447688Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-08-14T21:18:55.7480581Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-08-14T21:18:55.7513390Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-08-14T21:18:55.7545950Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-08-14T21:18:55.7578197Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-08-14T21:18:55.7607805Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-08-14T21:18:55.7637222Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-08-14T21:18:55.7672119Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-08-14T21:18:55.7707218Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-08-14T21:18:55.7753058Z Entering 'third_party/pocketfft'
2025-08-14T21:18:55.7787443Z Entering 'third_party/protobuf'
2025-08-14T21:18:55.7821614Z Entering 'third_party/protobuf/third_party/benchmark'
2025-08-14T21:18:55.7852532Z Entering 'third_party/protobuf/third_party/googletest'
2025-08-14T21:18:55.7885313Z Entering 'third_party/psimd'
2025-08-14T21:18:55.7919634Z Entering 'third_party/pthreadpool'
2025-08-14T21:18:55.7952041Z Entering 'third_party/pybind11'
2025-08-14T21:18:55.7984540Z Entering 'third_party/python-peachpy'
2025-08-14T21:18:55.8015532Z Entering 'third_party/sleef'
2025-08-14T21:18:55.8048105Z Entering 'third_party/tensorpipe'
2025-08-14T21:18:55.8079811Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-08-14T21:18:55.8113532Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-08-14T21:18:55.8145857Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-08-14T21:18:55.8179301Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-08-14T21:18:55.8210570Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-08-14T21:18:55.8261350Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:'
2025-08-14T21:18:55.8498991Z Entering 'android/libs/fbjni'
2025-08-14T21:18:55.8532291Z Entering 'third_party/FP16'
2025-08-14T21:18:55.8568530Z Entering 'third_party/FXdiv'
2025-08-14T21:18:55.8599895Z Entering 'third_party/NNPACK'
2025-08-14T21:18:55.8632328Z Entering 'third_party/NVTX'
2025-08-14T21:18:55.8664518Z Entering 'third_party/VulkanMemoryAllocator'
2025-08-14T21:18:55.8695890Z Entering 'third_party/XNNPACK'
2025-08-14T21:18:55.8737567Z Entering 'third_party/aiter'
2025-08-14T21:18:55.8771698Z Entering 'third_party/aiter/3rdparty/composable_kernel'
2025-08-14T21:18:55.8809256Z Entering 'third_party/benchmark'
2025-08-14T21:18:55.8842077Z Entering 'third_party/composable_kernel'
2025-08-14T21:18:55.8881183Z Entering 'third_party/cpp-httplib'
2025-08-14T21:18:55.8911893Z Entering 'third_party/cpuinfo'
2025-08-14T21:18:55.8944252Z Entering 'third_party/cudnn_frontend'
2025-08-14T21:18:55.8977610Z Entering 'third_party/cutlass'
2025-08-14T21:18:55.9015754Z Entering 'third_party/fbgemm'
2025-08-14T21:18:55.9050512Z Entering 'third_party/fbgemm/external/asmjit'
2025-08-14T21:18:55.9083051Z Entering 'third_party/fbgemm/external/composable_kernel'
2025-08-14T21:18:55.9120356Z Entering 'third_party/fbgemm/external/cpuinfo'
2025-08-14T21:18:55.9153154Z Entering 'third_party/fbgemm/external/cutlass'
2025-08-14T21:18:55.9190746Z Entering 'third_party/fbgemm/external/googletest'
2025-08-14T21:18:55.9221904Z Entering 'third_party/fbgemm/external/hipify_torch'
2025-08-14T21:18:55.9257194Z Entering 'third_party/fbgemm/external/json'
2025-08-14T21:18:55.9291920Z Entering 'third_party/flash-attention'
2025-08-14T21:18:55.9323544Z Entering 'third_party/flash-attention/csrc/composable_kernel'
2025-08-14T21:18:55.9359287Z Entering 'third_party/flash-attention/csrc/cutlass'
2025-08-14T21:18:55.9398644Z Entering 'third_party/flatbuffers'
2025-08-14T21:18:55.9435215Z Entering 'third_party/fmt'
2025-08-14T21:18:55.9469341Z Entering 'third_party/gemmlowp/gemmlowp'
2025-08-14T21:18:55.9504305Z Entering 'third_party/gloo'
2025-08-14T21:18:55.9536222Z Entering 'third_party/googletest'
2025-08-14T21:18:55.9570131Z Entering 'third_party/ideep'
2025-08-14T21:18:55.9599586Z Entering 'third_party/ideep/mkl-dnn'
2025-08-14T21:18:55.9635600Z Entering 'third_party/ittapi'
2025-08-14T21:18:55.9666895Z Entering 'third_party/kineto'
2025-08-14T21:18:55.9701312Z Entering 'third_party/kineto/libkineto/third_party/dynolog'
2025-08-14T21:18:55.9734012Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-08-14T21:18:55.9769207Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-08-14T21:18:55.9800051Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-08-14T21:18:55.9829077Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-08-14T21:18:55.9863032Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-08-14T21:18:55.9896610Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-08-14T21:18:55.9930759Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-08-14T21:18:55.9964325Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-08-14T21:18:55.9995239Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-08-14T21:18:56.0026416Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2025-08-14T21:18:56.0056723Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2025-08-14T21:18:56.0090732Z Entering 'third_party/kleidiai'
2025-08-14T21:18:56.0126828Z Entering 'third_party/mimalloc'
2025-08-14T21:18:56.0159481Z Entering 'third_party/nlohmann'
2025-08-14T21:18:56.0195556Z Entering 'third_party/onnx'
2025-08-14T21:18:56.0239621Z Entering 'third_party/onnx/third_party/pybind11'
2025-08-14T21:18:56.0275748Z Entering 'third_party/opentelemetry-cpp'
2025-08-14T21:18:56.0306965Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-08-14T21:18:56.0339408Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-08-14T21:18:56.0371305Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-08-14T21:18:56.0402876Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-08-14T21:18:56.0436613Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-08-14T21:18:56.0469927Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-08-14T21:18:56.0499868Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-08-14T21:18:56.0532575Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-08-14T21:18:56.0564713Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-08-14T21:18:56.0596004Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-08-14T21:18:56.0642013Z Entering 'third_party/pocketfft'
2025-08-14T21:18:56.0676921Z Entering 'third_party/protobuf'
2025-08-14T21:18:56.0711412Z Entering 'third_party/protobuf/third_party/benchmark'
2025-08-14T21:18:56.0742887Z Entering 'third_party/protobuf/third_party/googletest'
2025-08-14T21:18:56.0778082Z Entering 'third_party/psimd'
2025-08-14T21:18:56.0810171Z Entering 'third_party/pthreadpool'
2025-08-14T21:18:56.0841891Z Entering 'third_party/pybind11'
2025-08-14T21:18:56.0877439Z Entering 'third_party/python-peachpy'
2025-08-14T21:18:56.0908819Z Entering 'third_party/sleef'
2025-08-14T21:18:56.0942324Z Entering 'third_party/tensorpipe'
2025-08-14T21:18:56.0975221Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-08-14T21:18:56.1005785Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-08-14T21:18:56.1038031Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-08-14T21:18:56.1071633Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-08-14T21:18:56.1100953Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-08-14T21:18:56.1143477Z ##[endgroup]
2025-08-14T21:18:56.1171005Z [command]/usr/bin/git log -1 --format=%H
2025-08-14T21:18:56.1188525Z 1fc683cf17c8c673044538d10266c00f92987be2
2025-08-14T21:18:56.1324577Z Prepare all required actions
2025-08-14T21:18:56.1325075Z Getting action download info
2025-08-14T21:18:56.3144455Z ##[group]Run ./.github/actions/setup-linux
2025-08-14T21:18:56.3144659Z env:
2025-08-14T21:18:56.3144807Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:18:56.3144969Z ##[endgroup]
2025-08-14T21:18:56.3181630Z ##[group]Run set -euo pipefail
2025-08-14T21:18:56.3181872Z set -euo pipefail
2025-08-14T21:18:56.3182060Z function get_ec2_metadata() {
2025-08-14T21:18:56.3182288Z   # Pulled from instance metadata endpoint for EC2
2025-08-14T21:18:56.3182667Z   # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html
2025-08-14T21:18:56.3182999Z   category=$1
2025-08-14T21:18:56.3183219Z   # If it is GCP runner (runner name contains gcp), do not run this
2025-08-14T21:18:56.3183483Z   runner_name_str=i-0b6e368a8d2412e8c
2025-08-14T21:18:56.3183739Z   if [[ -f /.inarc ]]; then
2025-08-14T21:18:56.3183962Z     echo "ARC Runner, no info on ec2 metadata"
2025-08-14T21:18:56.3184190Z   elif [[ $runner_name_str == *"gcp"* ]]; then
2025-08-14T21:18:56.3184457Z     echo "Runner is from Google Cloud Platform, No info on ec2 metadata"
2025-08-14T21:18:56.3184693Z   else
2025-08-14T21:18:56.3185189Z     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}"
2025-08-14T21:18:56.3185676Z   fi
2025-08-14T21:18:56.3185819Z }
2025-08-14T21:18:56.3185982Z echo "ami-id: $(get_ec2_metadata ami-id)"
2025-08-14T21:18:56.3186235Z echo "instance-id: $(get_ec2_metadata instance-id)"
2025-08-14T21:18:56.3186508Z echo "instance-type: $(get_ec2_metadata instance-type)"
2025-08-14T21:18:56.3186748Z echo "system info $(uname -a)"
2025-08-14T21:18:56.3192595Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T21:18:56.3192823Z env:
2025-08-14T21:18:56.3192970Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:18:56.3193128Z ##[endgroup]
2025-08-14T21:18:56.3308409Z ami-id: ami-05ffe3c48a9991133
2025-08-14T21:18:56.3385988Z instance-id: i-0b6e368a8d2412e8c
2025-08-14T21:18:56.3459429Z instance-type: c7i.metal-24xl
2025-08-14T21:18:56.3468243Z system info Linux ip-10-0-71-126.ec2.internal 6.1.141-155.222.amzn2023.x86_64 #1 SMP PREEMPT_DYNAMIC Tue Jun 17 10:29:47 UTC 2025 x86_64 x86_64 x86_64 GNU/Linux
2025-08-14T21:18:56.3493501Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-08-14T21:18:56.3494044Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-08-14T21:18:56.3498771Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T21:18:56.3499014Z env:
2025-08-14T21:18:56.3499187Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:18:56.3499362Z ##[endgroup]
2025-08-14T21:18:56.3544555Z ##[group]Run if systemctl is-active --quiet docker; then
2025-08-14T21:18:56.3544851Z if systemctl is-active --quiet docker; then
2025-08-14T21:18:56.3545094Z     echo "Docker daemon is running...";
2025-08-14T21:18:56.3545383Z else
2025-08-14T21:18:56.3545616Z     echo "Starting docker daemon..." && sudo systemctl start docker;
2025-08-14T21:18:56.3545868Z fi
2025-08-14T21:18:56.3549651Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T21:18:56.3549895Z env:
2025-08-14T21:18:56.3550052Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:18:56.3550228Z ##[endgroup]
2025-08-14T21:18:56.3607557Z Docker daemon is running...
2025-08-14T21:18:56.3637926Z ##[group]Run nick-fields/retry@v3.0.0
2025-08-14T21:18:56.3638112Z with:
2025-08-14T21:18:56.3638252Z   shell: bash
2025-08-14T21:18:56.3638490Z   timeout_minutes: 5
2025-08-14T21:18:56.3638647Z   max_attempts: 3
2025-08-14T21:18:56.3638795Z   retry_wait_seconds: 30
2025-08-14T21:18:56.3639991Z   command: AWS_ACCOUNT_ID=$(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

2025-08-14T21:18:56.3641172Z   polling_interval_seconds: 1
2025-08-14T21:18:56.3641352Z   warning_on_retry: true
2025-08-14T21:18:56.3641516Z   continue_on_error: false
2025-08-14T21:18:56.3641671Z env:
2025-08-14T21:18:56.3641814Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:18:56.3641978Z   AWS_RETRY_MODE: standard
2025-08-14T21:18:56.3642132Z   AWS_MAX_ATTEMPTS: 5
2025-08-14T21:18:56.3642299Z   AWS_DEFAULT_REGION: us-east-1
2025-08-14T21:18:56.3642472Z ##[endgroup]
2025-08-14T21:18:57.1757926Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-08-14T21:18:57.1758316Z Configure a credential helper to remove this warning. See
2025-08-14T21:18:57.1758691Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-08-14T21:18:57.1758905Z 
2025-08-14T21:18:57.1758984Z Login Succeeded
2025-08-14T21:18:57.4295624Z Command completed after 1 attempt(s).
2025-08-14T21:18:57.4375840Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-08-14T21:18:57.4376169Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-08-14T21:18:57.4376444Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-08-14T21:18:57.4381516Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T21:18:57.4381749Z env:
2025-08-14T21:18:57.4381904Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:18:57.4382070Z ##[endgroup]
2025-08-14T21:18:57.4448226Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty
2025-08-14T21:18:57.4448570Z # ignore expansion of "docker ps -q" since it could be empty
2025-08-14T21:18:57.4448839Z # shellcheck disable=SC2046
2025-08-14T21:18:57.4449057Z docker stop $(docker ps -q) || true
2025-08-14T21:18:57.4449263Z # Prune all of the docker images
2025-08-14T21:18:57.4449464Z docker system prune -af
2025-08-14T21:18:57.4453394Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T21:18:57.4453611Z env:
2025-08-14T21:18:57.4453760Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:18:57.4453931Z ##[endgroup]
2025-08-14T21:18:57.4920066Z "docker stop" requires at least 1 argument.
2025-08-14T21:18:57.4920349Z See 'docker stop --help'.
2025-08-14T21:18:57.4920497Z 
2025-08-14T21:18:57.4920615Z Usage:  docker stop [OPTIONS] CONTAINER [CONTAINER...]
2025-08-14T21:18:57.4920789Z 
2025-08-14T21:18:57.4920871Z Stop one or more running containers
2025-08-14T21:18:57.5147138Z Total reclaimed space: 0B
2025-08-14T21:18:57.5177816Z ##[group]Run set +e
2025-08-14T21:18:57.5178014Z set +e
2025-08-14T21:18:57.5178170Z set -x
2025-08-14T21:18:57.5178397Z 
2025-08-14T21:18:57.5178571Z PT_DOMAIN=download.pytorch.org
2025-08-14T21:18:57.5178926Z # TODO: Flaky access to download.pytorch.org https://github.com/pytorch/pytorch/issues/100400,
2025-08-14T21:18:57.5179366Z # cleaning this up once the issue is fixed. There are more than one resolved IP here, the last
2025-08-14T21:18:57.5179669Z # one is returned at random
2025-08-14T21:18:57.5179924Z RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" | tail -n1)
2025-08-14T21:18:57.5180165Z 
2025-08-14T21:18:57.5180401Z if [ -z "${RESOLVED_IP}" ]; then
2025-08-14T21:18:57.5180666Z   echo "Couldn't resolve ${PT_DOMAIN}, retrying with Google DNS..."
2025-08-14T21:18:57.5180981Z   RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" @8.8.8.8 | tail -n1)
2025-08-14T21:18:57.5181215Z 
2025-08-14T21:18:57.5181367Z   if [ -z "${RESOLVED_IP}" ]; then
2025-08-14T21:18:57.5181615Z     echo "Couldn't resolve ${PT_DOMAIN}, exiting..."
2025-08-14T21:18:57.5181839Z     exit 1
2025-08-14T21:18:57.5181985Z   fi
2025-08-14T21:18:57.5182130Z fi
2025-08-14T21:18:57.5182271Z 
2025-08-14T21:18:57.5182438Z if grep -r "${PT_DOMAIN}" /etc/hosts; then
2025-08-14T21:18:57.5182672Z   # Clean up any old records first
2025-08-14T21:18:57.5182895Z   sudo sed -i "/${PT_DOMAIN}/d" /etc/hosts
2025-08-14T21:18:57.5183096Z fi
2025-08-14T21:18:57.5183227Z 
2025-08-14T21:18:57.5183433Z echo "${RESOLVED_IP} ${PT_DOMAIN}" | sudo tee -a /etc/hosts
2025-08-14T21:18:57.5183674Z cat /etc/hosts
2025-08-14T21:18:57.5188042Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T21:18:57.5188276Z env:
2025-08-14T21:18:57.5188430Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:18:57.5188596Z ##[endgroup]
2025-08-14T21:18:57.5204731Z + PT_DOMAIN=download.pytorch.org
2025-08-14T21:18:57.5209396Z ++ dig -4 +short download.pytorch.org
2025-08-14T21:18:57.5211173Z ++ tail -n1
2025-08-14T21:18:57.5595627Z + RESOLVED_IP=18.160.10.76
2025-08-14T21:18:57.5595848Z + '[' -z 18.160.10.76 ']'
2025-08-14T21:18:57.5596053Z + grep -r download.pytorch.org /etc/hosts
2025-08-14T21:18:57.5607370Z + echo '18.160.10.76 download.pytorch.org'
2025-08-14T21:18:57.5607975Z + sudo tee -a /etc/hosts
2025-08-14T21:18:57.8494475Z 18.160.10.76 download.pytorch.org
2025-08-14T21:18:57.8503233Z + cat /etc/hosts
2025-08-14T21:18:57.8510263Z 127.0.0.1   localhost localhost.localdomain localhost4 localhost4.localdomain4
2025-08-14T21:18:57.8513838Z ::1         localhost6 localhost6.localdomain6
2025-08-14T21:18:57.8514063Z 18.160.10.76 download.pytorch.org
2025-08-14T21:18:57.8617713Z ##[group]Run pytorch/test-infra/.github/actions/calculate-docker-image@main
2025-08-14T21:18:57.8617994Z with:
2025-08-14T21:18:57.8618484Z   docker-image-name: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T21:18:57.8619032Z   use-custom-docker-registry: true
2025-08-14T21:18:57.8619233Z   docker-build-dir: .ci/docker
2025-08-14T21:18:57.8619425Z   docker-build-script: ./build.sh
2025-08-14T21:18:57.8619606Z   working-directory: .
2025-08-14T21:18:57.8619825Z   docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-08-14T21:18:57.8620062Z   force-push: false
2025-08-14T21:18:57.8620205Z env:
2025-08-14T21:18:57.8620346Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:18:57.8620513Z ##[endgroup]
2025-08-14T21:18:57.8641913Z ##[group]Run set -ex
2025-08-14T21:18:57.8642113Z set -ex
2025-08-14T21:18:57.8642267Z 
2025-08-14T21:18:57.8642546Z # If the docker build directory or the build script doesn't exist, the action will
2025-08-14T21:18:57.8642928Z # gracefully return the docker image name as it is.  Pulling docker image in Linux
2025-08-14T21:18:57.8643256Z # job could then download the pre-built image as usual
2025-08-14T21:18:57.8643733Z if [[ -d "${DOCKER_BUILD_DIR}" ]] && [[ -f "${DOCKER_BUILD_DIR}/${DOCKER_BUILD_SCRIPT}" ]] && [[ "${USE_CUSTOM_DOCKER_REGISTRY}" == "true" ]]; then
2025-08-14T21:18:57.8644100Z   echo "skip=false" >> "${GITHUB_OUTPUT}"
2025-08-14T21:18:57.8644297Z else
2025-08-14T21:18:57.8644467Z   echo "skip=true" >> "${GITHUB_OUTPUT}"
2025-08-14T21:18:57.8644737Z   echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}"
2025-08-14T21:18:57.8644979Z 
2025-08-14T21:18:57.8645292Z   echo "Not using custom ECR registry.  Either it was not requested or there is no Docker build script in the ${REPO_NAME} repo..."
2025-08-14T21:18:57.8645643Z   exit 0
2025-08-14T21:18:57.8645796Z fi
2025-08-14T21:18:57.8645929Z 
2025-08-14T21:18:57.8646142Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_REGISTRY}/${REPO_NAME}"* ]]; then
2025-08-14T21:18:57.8646479Z   # The docker image name already includes the ECR prefix and tag, so we can just
2025-08-14T21:18:57.8646782Z   # use it as it is, but first let's extract the tag
2025-08-14T21:18:57.8647056Z   DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}')
2025-08-14T21:18:57.8647352Z   echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2025-08-14T21:18:57.8647634Z   echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}"
2025-08-14T21:18:57.8647870Z else
2025-08-14T21:18:57.8648036Z   if [[ "${DOCKER_IMAGE_NAME}" == *:* ]]; then
2025-08-14T21:18:57.8648268Z     CUSTOM_TAG_PREFIX=${DOCKER_IMAGE_NAME#*:}
2025-08-14T21:18:57.8648508Z     DOCKER_IMAGE_NAME=${DOCKER_IMAGE_NAME%%:*}
2025-08-14T21:18:57.8648700Z   fi
2025-08-14T21:18:57.8648969Z   DOCKER_TAG=${CUSTOM_TAG_PREFIX:+${CUSTOM_TAG_PREFIX}-}$(git rev-parse HEAD:"${DOCKER_BUILD_DIR}")
2025-08-14T21:18:57.8649317Z   echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2025-08-14T21:18:57.8649676Z   echo "docker-image=${DOCKER_REGISTRY}/${REPO_NAME}/${DOCKER_IMAGE_NAME}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2025-08-14T21:18:57.8650058Z   echo "custom-tag-prefix=${CUSTOM_TAG_PREFIX}" >> "${GITHUB_OUTPUT}"
2025-08-14T21:18:57.8650304Z fi
2025-08-14T21:18:57.8655222Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T21:18:57.8655450Z env:
2025-08-14T21:18:57.8655603Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:18:57.8655780Z   REPO_NAME: pytorch
2025-08-14T21:18:57.8656381Z   DOCKER_IMAGE_NAME: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T21:18:57.8656894Z   DOCKER_BUILD_DIR: .ci/docker
2025-08-14T21:18:57.8657083Z   DOCKER_BUILD_SCRIPT: ./build.sh
2025-08-14T21:18:57.8657323Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-08-14T21:18:57.8657569Z   USE_CUSTOM_DOCKER_REGISTRY: true
2025-08-14T21:18:57.8657761Z   CUSTOM_TAG_PREFIX: 
2025-08-14T21:18:57.8657927Z ##[endgroup]
2025-08-14T21:18:57.8676622Z + [[ -d .ci/docker ]]
2025-08-14T21:18:57.8676873Z + [[ -f .ci/docker/./build.sh ]]
2025-08-14T21:18:57.8677072Z + [[ true == \t\r\u\e ]]
2025-08-14T21:18:57.8677253Z + echo skip=false
2025-08-14T21:18:57.8677935Z + [[ 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe == *\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* ]]
2025-08-14T21:18:57.8681867Z ++ echo 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T21:18:57.8682439Z ++ awk -F '[:,]' '{print $2}'
2025-08-14T21:18:57.8699705Z + DOCKER_TAG=pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T21:18:57.8700482Z + echo docker-tag=pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T21:18:57.8701283Z + echo docker-image=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T21:18:57.8725700Z ##[group]Run set +e
2025-08-14T21:18:57.8725910Z set +e
2025-08-14T21:18:57.8726068Z set -x
2025-08-14T21:18:57.8726219Z 
2025-08-14T21:18:57.8726359Z login() {
2025-08-14T21:18:57.8726660Z   aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1"
2025-08-14T21:18:57.8726983Z }
2025-08-14T21:18:57.8727119Z 
2025-08-14T21:18:57.8727262Z retry () {
2025-08-14T21:18:57.8727445Z   $*  || (sleep 1 && $*) || (sleep 2 && $*)
2025-08-14T21:18:57.8727636Z }
2025-08-14T21:18:57.8727784Z 
2025-08-14T21:18:57.8727940Z retry login "${DOCKER_REGISTRY}"
2025-08-14T21:18:57.8728132Z 
2025-08-14T21:18:57.8728275Z START_TIME=$(date +%s)
2025-08-14T21:18:57.8728468Z # Wait up to 120 minutes
2025-08-14T21:18:57.8728705Z while [[ $(( $(date +%s) - 7200 )) -lt $START_TIME ]]; do
2025-08-14T21:18:57.8728991Z   # Check if image already exists, if it does then skip building it
2025-08-14T21:18:57.8729285Z   if docker manifest inspect "${DOCKER_IMAGE}"; then
2025-08-14T21:18:57.8729509Z     exit 0
2025-08-14T21:18:57.8729660Z   fi
2025-08-14T21:18:57.8729809Z 
2025-08-14T21:18:57.8730051Z   # NB: This flag is used by Docker build workflow to push the image to ECR, so we can
2025-08-14T21:18:57.8730438Z   # use this to differentiate between the Docker build and regular build jobs. For the
2025-08-14T21:18:57.8730813Z   # latter, it will wait for the Docker images to become available before continuing
2025-08-14T21:18:57.8731130Z   if [ "${DOCKER_PUSH:-false}" == "true" ]; then
2025-08-14T21:18:57.8731383Z     # It's a Docker build job, let's build the image
2025-08-14T21:18:57.8731597Z     break
2025-08-14T21:18:57.8731744Z   else
2025-08-14T21:18:57.8731960Z     # It's a regular build job, wait for the image to become available
2025-08-14T21:18:57.8732210Z     sleep 300
2025-08-14T21:18:57.8732364Z   fi
2025-08-14T21:18:57.8732510Z done
2025-08-14T21:18:57.8732654Z 
2025-08-14T21:18:57.8732868Z # NB: This part requires a full checkout. Otherwise, the merge base will
2025-08-14T21:18:57.8733295Z # be empty.  The default action would be to continue rebuild the image
2025-08-14T21:18:57.8733602Z if [[ "$BASE_REVISION" = "$(git rev-parse HEAD)" ]]; then
2025-08-14T21:18:57.8733882Z   # if we're on the base branch then use the parent commit
2025-08-14T21:18:57.8734128Z   MERGE_BASE=$(git rev-parse HEAD~)
2025-08-14T21:18:57.8734326Z else
2025-08-14T21:18:57.8734538Z   # otherwise we're on a PR, so use the most recent base commit
2025-08-14T21:18:57.8734818Z   MERGE_BASE=$(git merge-base HEAD "$BASE_REVISION")
2025-08-14T21:18:57.8735038Z fi
2025-08-14T21:18:57.8735178Z 
2025-08-14T21:18:57.8735335Z if [[ -z "${MERGE_BASE}" ]]; then
2025-08-14T21:18:57.8735554Z   echo "rebuild=true" >> "${GITHUB_OUTPUT}"
2025-08-14T21:18:57.8735759Z 
2025-08-14T21:18:57.8736043Z   echo "Finding merge base only works with full checkout, please set fetch-depth to 0, continuing ..."
2025-08-14T21:18:57.8736350Z   exit 0
2025-08-14T21:18:57.8736502Z fi
2025-08-14T21:18:57.8736642Z 
2025-08-14T21:18:57.8736832Z if ! git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}"; then
2025-08-14T21:18:57.8737281Z   echo "Directory '${DOCKER_BUILD_DIR}' not found in commit $MERGE_BASE, you should rebase onto a more recent commit"
2025-08-14T21:18:57.8737626Z   exit 1
2025-08-14T21:18:57.8737783Z fi
2025-08-14T21:18:57.8737924Z 
2025-08-14T21:18:57.8738161Z PREVIOUS_DOCKER_TAG=$(git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}")
2025-08-14T21:18:57.8738552Z # If no image exists but the hash is the same as the previous hash then we should error out here
2025-08-14T21:18:57.8738901Z if [[ "${PREVIOUS_DOCKER_TAG}" == "${DOCKER_TAG}" ]]; then
2025-08-14T21:18:57.8739293Z   echo "WARNING: Something has gone wrong and the previous image isn't available for the merge-base of your branch"
2025-08-14T21:18:57.8739737Z   echo "         Will re-build docker image to store in local cache, TTS may be longer"
2025-08-14T21:18:57.8740011Z fi
2025-08-14T21:18:57.8740152Z 
2025-08-14T21:18:57.8740337Z echo "rebuild=true" >> "${GITHUB_OUTPUT}"
2025-08-14T21:18:57.8744068Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T21:18:57.8744303Z env:
2025-08-14T21:18:57.8744454Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:18:57.8744641Z   DOCKER_BUILD_DIR: .ci/docker
2025-08-14T21:18:57.8744868Z   BASE_REVISION: 1fc683cf17c8c673044538d10266c00f92987be2
2025-08-14T21:18:57.8745438Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T21:18:57.8746160Z   DOCKER_TAG: pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T21:18:57.8746605Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-08-14T21:18:57.8746851Z   DOCKER_PUSH: 
2025-08-14T21:18:57.8747000Z ##[endgroup]
2025-08-14T21:18:57.8764601Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-08-14T21:18:57.8764889Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-08-14T21:18:57.8768035Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-08-14T21:18:57.8768546Z + aws ecr get-login-password --region us-east-1
2025-08-14T21:18:58.2535436Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-08-14T21:18:58.2535819Z Configure a credential helper to remove this warning. See
2025-08-14T21:18:58.2536573Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-08-14T21:18:58.2536889Z 
2025-08-14T21:18:58.2537048Z Login Succeeded
2025-08-14T21:18:58.2548054Z ++ date +%s
2025-08-14T21:18:58.2554808Z + START_TIME=1755206338
2025-08-14T21:18:58.2558627Z ++ date +%s
2025-08-14T21:18:58.2566001Z + [[ 1755199138 -lt 1755206338 ]]
2025-08-14T21:18:58.2566596Z + docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T21:18:58.5433769Z {
2025-08-14T21:18:58.5434028Z 	"schemaVersion": 2,
2025-08-14T21:18:58.5434345Z 	"mediaType": "application/vnd.docker.distribution.manifest.v2+json",
2025-08-14T21:18:58.5434666Z 	"config": {
2025-08-14T21:18:58.5434925Z 		"mediaType": "application/vnd.docker.container.image.v1+json",
2025-08-14T21:18:58.5435478Z 		"size": 30151,
2025-08-14T21:18:58.5435817Z 		"digest": "sha256:0899ae453036ee7a91795ea95b1db61000579eeb74b140edab5976919ee64bbe"
2025-08-14T21:18:58.5436120Z 	},
2025-08-14T21:18:58.5436253Z 	"layers": [
2025-08-14T21:18:58.5436400Z 		{
2025-08-14T21:18:58.5436621Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:18:58.5436874Z 			"size": 30448173,
2025-08-14T21:18:58.5437156Z 			"digest": "sha256:660ffc76f83b006444a5731b215acc2e35138d8be5cac8ed1ffd40f947117495"
2025-08-14T21:18:58.5437529Z 		},
2025-08-14T21:18:58.5437651Z 		{
2025-08-14T21:18:58.5437860Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:18:58.5438325Z 			"size": 1554,
2025-08-14T21:18:58.5438578Z 			"digest": "sha256:c7b4a852a45516e27a9256df90878663d770f96d271d6155d43be78cc5225eef"
2025-08-14T21:18:58.5438840Z 		},
2025-08-14T21:18:58.5438970Z 		{
2025-08-14T21:18:58.5439175Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:18:58.5439417Z 			"size": 313280151,
2025-08-14T21:18:58.5439692Z 			"digest": "sha256:e5a28988c8932eb5797557621582a064ce48651dbb5eaed379e9978535daccb9"
2025-08-14T21:18:58.5439959Z 		},
2025-08-14T21:18:58.5440076Z 		{
2025-08-14T21:18:58.5440275Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:18:58.5440524Z 			"size": 793,
2025-08-14T21:18:58.5440780Z 			"digest": "sha256:76a69b57b6837bef07dbc1b481cf28a62dfd7c7063219d9f6e0d0d63067653c7"
2025-08-14T21:18:58.5441064Z 		},
2025-08-14T21:18:58.5441195Z 		{
2025-08-14T21:18:58.5441391Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:18:58.5441643Z 			"size": 106,
2025-08-14T21:18:58.5441910Z 			"digest": "sha256:5c785dcb4cdbf1f2ceffe4d1d8e85d73225a56d0236e7ed6e36a95c836996052"
2025-08-14T21:18:58.5442195Z 		},
2025-08-14T21:18:58.5442317Z 		{
2025-08-14T21:18:58.5442522Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:18:58.5442767Z 			"size": 704,
2025-08-14T21:18:58.5443015Z 			"digest": "sha256:836ab08052e8eb2bae68e69ae086fd23a5f04a8491c320718ab47f84f03aebb1"
2025-08-14T21:18:58.5443319Z 		},
2025-08-14T21:18:58.5443443Z 		{
2025-08-14T21:18:58.5443650Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:18:58.5443897Z 			"size": 1217,
2025-08-14T21:18:58.5444148Z 			"digest": "sha256:53b11c77468cbefca210560f7d8be8e58f9eeb415e096ab0c3fb0277f0b41caf"
2025-08-14T21:18:58.5444436Z 		},
2025-08-14T21:18:58.5444561Z 		{
2025-08-14T21:18:58.5444755Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:18:58.5445139Z 			"size": 485,
2025-08-14T21:18:58.5445399Z 			"digest": "sha256:e97311a6a967664cbe10c5027a1ec60c514caa9a1160167d8363088fd1f9fe09"
2025-08-14T21:18:58.5445672Z 		},
2025-08-14T21:18:58.5445805Z 		{
2025-08-14T21:18:58.5446006Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:18:58.5446250Z 			"size": 110343699,
2025-08-14T21:18:58.5446512Z 			"digest": "sha256:2c414689d31dc46a22fe02d4f43699f528cc1c02fb505824768383fa0bbf1c74"
2025-08-14T21:18:58.5446787Z 		},
2025-08-14T21:18:58.5446918Z 		{
2025-08-14T21:18:58.5447108Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:18:58.5447353Z 			"size": 4817,
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2025-08-14T21:18:58.5497180Z 			"digest": "sha256:4a53d66dce071bb7416414aa1adbc3e4a59003300c0d42038612fabdeb5a1b01"
2025-08-14T21:18:58.5497453Z 		},
2025-08-14T21:18:58.5497581Z 		{
2025-08-14T21:18:58.5497769Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:18:58.5498009Z 			"size": 32,
2025-08-14T21:18:58.5498254Z 			"digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1"
2025-08-14T21:18:58.5498516Z 		},
2025-08-14T21:18:58.5498638Z 		{
2025-08-14T21:18:58.5498834Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:18:58.5499062Z 			"size": 159,
2025-08-14T21:18:58.5499305Z 			"digest": "sha256:1519daa051b8b80e04125f2f2215dc412dcdbb9502711925e97aeccbda069eaf"
2025-08-14T21:18:58.5499568Z 		},
2025-08-14T21:18:58.5499683Z 		{
2025-08-14T21:18:58.5499877Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:18:58.5500113Z 			"size": 1371,
2025-08-14T21:18:58.5500361Z 			"digest": "sha256:381ed91d2119f078fbba19102a65befc4cb242f8cf47a11fb6f76ea424690692"
2025-08-14T21:18:58.5500625Z 		},
2025-08-14T21:18:58.5500750Z 		{
2025-08-14T21:18:58.5500940Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:18:58.5501169Z 			"size": 32,
2025-08-14T21:18:58.5501410Z 			"digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1"
2025-08-14T21:18:58.5501678Z 		},
2025-08-14T21:18:58.5501794Z 		{
2025-08-14T21:18:58.5501989Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:18:58.5502221Z 			"size": 137,
2025-08-14T21:18:58.5502458Z 			"digest": "sha256:c6b0a01a96dd479640297d4b012031ffc1bd9fc0daf61d86058f9b675c0a0705"
2025-08-14T21:18:58.5502728Z 		},
2025-08-14T21:18:58.5502852Z 		{
2025-08-14T21:18:58.5503037Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:18:58.5503273Z 			"size": 380,
2025-08-14T21:18:58.5503522Z 			"digest": "sha256:62df6413daeefebde04dcc401134734952e4ea37fc85ff23c89cb9b4fbd45155"
2025-08-14T21:18:58.5503794Z 		},
2025-08-14T21:18:58.5503911Z 		{
2025-08-14T21:18:58.5504140Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:18:58.5504381Z 			"size": 32,
2025-08-14T21:18:58.5504616Z 			"digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1"
2025-08-14T21:18:58.5504889Z 		},
2025-08-14T21:18:58.5505012Z 		{
2025-08-14T21:18:58.5505201Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:18:58.5505440Z 			"size": 104,
2025-08-14T21:18:58.5505688Z 			"digest": "sha256:7a18bc2a6881b76a6f591c98dafb47e44d903f7a905f7eba0fc3aedb5c90fff7"
2025-08-14T21:18:58.5505952Z 		},
2025-08-14T21:18:58.5506077Z 		{
2025-08-14T21:18:58.5506275Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:18:58.5506509Z 			"size": 407,
2025-08-14T21:18:58.5506752Z 			"digest": "sha256:93359cd58a8cece344fd4291b27647e57761c9399bb54bb0c18149c12af5f66a"
2025-08-14T21:18:58.5507021Z 		},
2025-08-14T21:18:58.5507146Z 		{
2025-08-14T21:18:58.5507337Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:18:58.5507572Z 			"size": 32,
2025-08-14T21:18:58.5507816Z 			"digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1"
2025-08-14T21:18:58.5508079Z 		},
2025-08-14T21:18:58.5508240Z 		{
2025-08-14T21:18:58.5508436Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:18:58.5508664Z 			"size": 109,
2025-08-14T21:18:58.5508914Z 			"digest": "sha256:c35ba0a1f353d6894c914a4bfbea9a2c9b8ac1b526af64d34cbe9a12bd83c78e"
2025-08-14T21:18:58.5509191Z 		},
2025-08-14T21:18:58.5509308Z 		{
2025-08-14T21:18:58.5509504Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:18:58.5509745Z 			"size": 1896,
2025-08-14T21:18:58.5509987Z 			"digest": "sha256:dcf1e01c98d6a6f72674d79a4e8e4047b54796576cd06ad682c225a92820a8f5"
2025-08-14T21:18:58.5510257Z 		},
2025-08-14T21:18:58.5510382Z 		{
2025-08-14T21:18:58.5510576Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:18:58.5510808Z 			"size": 242635753,
2025-08-14T21:18:58.5511066Z 			"digest": "sha256:bad0564f61fdf377e3ae31f6fec0ec28b6922da0b9db28408b55b8e97ff1ea51"
2025-08-14T21:18:58.5511342Z 		},
2025-08-14T21:18:58.5511458Z 		{
2025-08-14T21:18:58.5511654Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:18:58.5511896Z 			"size": 106,
2025-08-14T21:18:58.5512133Z 			"digest": "sha256:539ded9057364aade7abe23ab908d2caf53966a186734aa58ae84a56bee659eb"
2025-08-14T21:18:58.5512407Z 		},
2025-08-14T21:18:58.5512533Z 		{
2025-08-14T21:18:58.5512719Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:18:58.5512961Z 			"size": 163,
2025-08-14T21:18:58.5513198Z 			"digest": "sha256:28d482062637d32514edfc447913e98745d7c13d2f277531e64ffcf090ae6d92"
2025-08-14T21:18:58.5513461Z 		},
2025-08-14T21:18:58.5513579Z 		{
2025-08-14T21:18:58.5513773Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:18:58.5514015Z 			"size": 7943,
2025-08-14T21:18:58.5514257Z 			"digest": "sha256:3245316ff51b50b27da4ef7279733c92f76cc652b3fce3877c0e3d510430e8b3"
2025-08-14T21:18:58.5514525Z 		},
2025-08-14T21:18:58.5514649Z 		{
2025-08-14T21:18:58.5514836Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:18:58.5515079Z 			"size": 8073,
2025-08-14T21:18:58.5515323Z 			"digest": "sha256:b53167d1a6df0e4b67d637d073150dff1fb87a823864c0c98d77c15e56babc24"
2025-08-14T21:18:58.5515581Z 		},
2025-08-14T21:18:58.5515706Z 		{
2025-08-14T21:18:58.5515905Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:18:58.5516136Z 			"size": 303,
2025-08-14T21:18:58.5516378Z 			"digest": "sha256:7f5277f691672469f431fd90a8c2bb702c6c68333f6be2cff868f00e416c5a1a"
2025-08-14T21:18:58.5516646Z 		},
2025-08-14T21:18:58.5516773Z 		{
2025-08-14T21:18:58.5516959Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:18:58.5517197Z 			"size": 32,
2025-08-14T21:18:58.5517478Z 			"digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1"
2025-08-14T21:18:58.5517741Z 		},
2025-08-14T21:18:58.5517864Z 		{
2025-08-14T21:18:58.5518056Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:18:58.5518288Z 			"size": 108,
2025-08-14T21:18:58.5518534Z 			"digest": "sha256:23dff10cdaa5b1e9c7250f0c58a6279f104b35408281e951bfe9983f97e3d9ed"
2025-08-14T21:18:58.5518805Z 		},
2025-08-14T21:18:58.5518922Z 		{
2025-08-14T21:18:58.5519118Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:18:58.5519359Z 			"size": 54145699,
2025-08-14T21:18:58.5519618Z 			"digest": "sha256:9fb73296da6ac15f37f36663bd10afc98abb8a01fb40bff4848de7247d28e018"
2025-08-14T21:18:58.5519882Z 		},
2025-08-14T21:18:58.5520006Z 		{
2025-08-14T21:18:58.5520203Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:18:58.5520435Z 			"size": 32,
2025-08-14T21:18:58.5520685Z 			"digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1"
2025-08-14T21:18:58.5520952Z 		}
2025-08-14T21:18:58.5521067Z 	]
2025-08-14T21:18:58.5521193Z }
2025-08-14T21:18:58.5521335Z + exit 0
2025-08-14T21:18:58.5547928Z ##[group]Run set -eux
2025-08-14T21:18:58.5548123Z set -eux
2025-08-14T21:18:58.5548691Z 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
2025-08-14T21:18:58.5553663Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T21:18:58.5553886Z env:
2025-08-14T21:18:58.5554043Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:18:58.5554215Z ##[endgroup]
2025-08-14T21:18:58.5578273Z + aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token
2025-08-14T21:18:58.5578661Z + jq --raw-output .SecretString
2025-08-14T21:18:58.5578897Z + jq -r .docker_hub_readonly_token
2025-08-14T21:18:58.5579519Z + docker login --username pytorchbot --password-stdin
2025-08-14T21:18:58.9684983Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-08-14T21:18:58.9685395Z Configure a credential helper to remove this warning. See
2025-08-14T21:18:58.9685796Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-08-14T21:18:58.9686032Z 
2025-08-14T21:18:58.9686707Z Login Succeeded
2025-08-14T21:18:58.9752389Z ##[group]Run tag=${ECR_DOCKER_IMAGE##*:}
2025-08-14T21:18:58.9752655Z tag=${ECR_DOCKER_IMAGE##*:}
2025-08-14T21:18:58.9752904Z echo "docker pull ghcr.io/pytorch/ci-image:${tag/:/-}"
2025-08-14T21:18:58.9757111Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T21:18:58.9757341Z env:
2025-08-14T21:18:58.9757483Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:18:58.9758013Z   ECR_DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T21:18:58.9758538Z ##[endgroup]
2025-08-14T21:18:58.9778236Z docker pull ghcr.io/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T21:18:58.9840288Z ##[group]Run pytorch/test-infra/.github/actions/pull-docker-image@main
2025-08-14T21:18:58.9840569Z with:
2025-08-14T21:18:58.9841040Z   docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T21:18:58.9841585Z   docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-08-14T21:18:58.9841819Z env:
2025-08-14T21:18:58.9841964Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:18:58.9842121Z ##[endgroup]
2025-08-14T21:18:58.9860549Z ##[group]Run set -x
2025-08-14T21:18:58.9860725Z set -x
2025-08-14T21:18:58.9860877Z set +e
2025-08-14T21:18:58.9861024Z 
2025-08-14T21:18:58.9861158Z login() {
2025-08-14T21:18:58.9861444Z   aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1"
2025-08-14T21:18:58.9861737Z }
2025-08-14T21:18:58.9861864Z 
2025-08-14T21:18:58.9862038Z retry () {
2025-08-14T21:18:58.9862207Z   $*  || (sleep 1 && $*) || (sleep 2 && $*)
2025-08-14T21:18:58.9862404Z }
2025-08-14T21:18:58.9862537Z 
2025-08-14T21:18:58.9862683Z retry login "${DOCKER_REGISTRY}"
2025-08-14T21:18:58.9862857Z 
2025-08-14T21:18:58.9863135Z IMAGE_SIZE=$(docker manifest inspect "${DOCKER_IMAGE}" | jq '[.layers[].size, .config.size] | add / 1024 / 1024')
2025-08-14T21:18:58.9863504Z echo "Compressed size of image in MB: ${IMAGE_SIZE}"
2025-08-14T21:18:58.9863711Z 
2025-08-14T21:18:58.9863841Z set -e
2025-08-14T21:18:58.9864048Z # ignore output since only exit code is used for conditional
2025-08-14T21:18:58.9864330Z # only pull docker image if it's not available locally
2025-08-14T21:18:58.9864629Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then
2025-08-14T21:18:58.9864921Z   retry docker pull "${DOCKER_IMAGE}"
2025-08-14T21:18:58.9865112Z fi
2025-08-14T21:18:58.9868769Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T21:18:58.9868990Z env:
2025-08-14T21:18:58.9869135Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:18:58.9869763Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T21:18:58.9870393Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-08-14T21:18:58.9870647Z ##[endgroup]
2025-08-14T21:18:58.9886413Z + set +e
2025-08-14T21:18:58.9886667Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-08-14T21:18:58.9886932Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-08-14T21:18:58.9890473Z + aws ecr get-login-password --region us-east-1
2025-08-14T21:18:58.9891025Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-08-14T21:18:59.3508106Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-08-14T21:18:59.3508459Z Login Succeeded
2025-08-14T21:18:59.3508793Z Configure a credential helper to remove this warning. See
2025-08-14T21:18:59.3509166Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-08-14T21:18:59.3509402Z 
2025-08-14T21:18:59.3521863Z ++ docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T21:18:59.3522502Z ++ jq '[.layers[].size, .config.size] | add / 1024 / 1024'
2025-08-14T21:18:59.5663520Z + IMAGE_SIZE=27663.483686447144
2025-08-14T21:18:59.5663771Z Compressed size of image in MB: 27663.483686447144
2025-08-14T21:18:59.5664049Z + echo 'Compressed size of image in MB: 27663.483686447144'
2025-08-14T21:18:59.5664283Z + set -e
2025-08-14T21:18:59.5665068Z + docker inspect --type=image 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T21:18:59.5753253Z + retry docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T21:18:59.5754163Z + docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T21:18:59.8302468Z pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe: Pulling from pytorch/ci-image
2025-08-14T21:18:59.8302968Z 660ffc76f83b: Pulling fs layer
2025-08-14T21:18:59.8303164Z c7b4a852a455: Pulling fs layer
2025-08-14T21:18:59.8303334Z e5a28988c893: Pulling fs layer
2025-08-14T21:18:59.8303508Z 76a69b57b683: Pulling fs layer
2025-08-14T21:18:59.8303677Z 5c785dcb4cdb: Pulling fs layer
2025-08-14T21:18:59.8303847Z 836ab08052e8: Pulling fs layer
2025-08-14T21:18:59.8304026Z 53b11c77468c: Pulling fs layer
2025-08-14T21:18:59.8304209Z e97311a6a967: Pulling fs layer
2025-08-14T21:18:59.8304381Z 2c414689d31d: Pulling fs layer
2025-08-14T21:18:59.8304546Z 6d89b5f065d5: Pulling fs layer
2025-08-14T21:18:59.8304721Z 5a5cc76ada43: Pulling fs layer
2025-08-14T21:18:59.8304900Z fc6b37d40530: Pulling fs layer
2025-08-14T21:18:59.8305063Z 2e1657907860: Pulling fs layer
2025-08-14T21:18:59.8305234Z 7b92d7a4b8c7: Pulling fs layer
2025-08-14T21:18:59.8305409Z 4f4fb700ef54: Pulling fs layer
2025-08-14T21:18:59.8305573Z d6226eb61f82: Pulling fs layer
2025-08-14T21:18:59.8305748Z 83c70f4266a6: Pulling fs layer
2025-08-14T21:18:59.8305919Z 60c725d21861: Pulling fs layer
2025-08-14T21:18:59.8306081Z a504e76e66a4: Pulling fs layer
2025-08-14T21:18:59.8306254Z fc1c200a4f77: Pulling fs layer
2025-08-14T21:18:59.8306427Z 43273c22704f: Pulling fs layer
2025-08-14T21:18:59.8306588Z 89df389d042a: Pulling fs layer
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2025-08-14T21:18:59.8335268Z 7ddd14e2b548: Waiting
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2025-08-14T21:19:02.9780940Z acf5babd87f2: Verifying Checksum
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2025-08-14T21:19:03.2486703Z 4ba8e7a736c8: Verifying Checksum
2025-08-14T21:19:03.2486960Z 4ba8e7a736c8: Download complete
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2025-08-14T21:19:07.5825402Z 7c5050d8408d: Verifying Checksum
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2025-08-14T21:19:08.7344778Z e5a28988c893: Pull complete
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2025-08-14T21:19:10.5297935Z 733eedc8da8d: Verifying Checksum
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2025-08-14T21:19:34.7214911Z 7b92d7a4b8c7: Verifying Checksum
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2025-08-14T21:19:34.9509795Z 0531cc34c12a: Verifying Checksum
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2025-08-14T21:19:35.9136520Z c35ba0a1f353: Verifying Checksum
2025-08-14T21:19:35.9136768Z c35ba0a1f353: Download complete
2025-08-14T21:19:36.0111653Z dcf1e01c98d6: Download complete
2025-08-14T21:19:38.5068422Z bad0564f61fd: Verifying Checksum
2025-08-14T21:19:38.5068745Z bad0564f61fd: Download complete
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2025-08-14T21:19:38.7107347Z 28d482062637: Verifying Checksum
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2025-08-14T21:19:38.8242147Z 3245316ff51b: Download complete
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2025-08-14T21:19:39.0191983Z 7f5277f69167: Verifying Checksum
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2025-08-14T21:19:39.7300805Z 9fb73296da6a: Download complete
2025-08-14T21:20:09.6385433Z 7b92d7a4b8c7: Pull complete
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2025-08-14T21:20:14.9564804Z 5b092eb06909: Verifying Checksum
2025-08-14T21:20:14.9565084Z 5b092eb06909: Download complete
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2025-08-14T21:22:01.4224483Z fac8f3bd0f85: Verifying Checksum
2025-08-14T21:22:01.4225147Z fac8f3bd0f85: Download complete
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2025-08-14T21:25:20.4634446Z c35ba0a1f353: Pull complete
2025-08-14T21:25:20.8943052Z dcf1e01c98d6: Pull complete
2025-08-14T21:25:25.2501806Z bad0564f61fd: Pull complete
2025-08-14T21:25:25.4043612Z 539ded905736: Pull complete
2025-08-14T21:25:25.6429337Z 28d482062637: Pull complete
2025-08-14T21:25:25.9273353Z 3245316ff51b: Pull complete
2025-08-14T21:25:26.2478969Z b53167d1a6df: Pull complete
2025-08-14T21:25:26.6021451Z 7f5277f69167: Pull complete
2025-08-14T21:25:27.1583443Z 23dff10cdaa5: Pull complete
2025-08-14T21:25:28.5676115Z 9fb73296da6a: Pull complete
2025-08-14T21:25:29.0924023Z Digest: sha256:4236794baba289041d240d08fd393bbd57497c3012e5e0ccd9fd98f61ebf35c6
2025-08-14T21:25:29.1722295Z Status: Downloaded newer image for 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T21:25:29.2137978Z 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T21:25:29.2185352Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-08-14T21:25:29.2186080Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-08-14T21:25:29.2194269Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T21:25:29.2194512Z env:
2025-08-14T21:25:29.2194672Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:25:29.2194854Z ##[endgroup]
2025-08-14T21:25:29.2257944Z Prepare all required actions
2025-08-14T21:25:29.2558453Z ##[group]Run ./.github/actions/get-workflow-job-id
2025-08-14T21:25:29.2558673Z with:
2025-08-14T21:25:29.2559141Z   github-token: ***
2025-08-14T21:25:29.2559289Z env:
2025-08-14T21:25:29.2559435Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:25:29.2559609Z ##[endgroup]
2025-08-14T21:25:29.2746807Z ##[group]Run set -eux
2025-08-14T21:25:29.2747003Z set -eux
2025-08-14T21:25:29.2747266Z python3 .github/scripts/get_workflow_job_id.py "${GITHUB_RUN_ID}" "${RUNNER_NAME}"
2025-08-14T21:25:29.2751167Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T21:25:29.2751392Z env:
2025-08-14T21:25:29.2751540Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:25:29.2751822Z   GITHUB_TOKEN: ***
2025-08-14T21:25:29.2751967Z ##[endgroup]
2025-08-14T21:25:29.2769454Z + python3 .github/scripts/get_workflow_job_id.py 16976255153 i-0b6e368a8d2412e8c
2025-08-14T21:25:29.9173704Z Setting output job-id=48128039130
2025-08-14T21:25:29.9174185Z Setting output job-name=linux-jammy-cpu-py3.9-gcc11-inductor / test (inductor_torchbench_cpu_smoketest_perf, 1, 1, linux.24xl.spr-metal)
2025-08-14T21:25:29.9450525Z ##[group]Run python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84
2025-08-14T21:25:29.9450945Z python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84
2025-08-14T21:25:29.9451477Z python3 -m tools.stats.monitor --log-interval "$MONITOR_LOG_INTERVAL" --data-collect-interval "$MONITOR_DATA_COLLECT_INTERVAL" > usage_log.txt 2>&1 &
2025-08-14T21:25:29.9451963Z echo "monitor-script-pid=${!}" >> "${GITHUB_OUTPUT}"
2025-08-14T21:25:29.9455478Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T21:25:29.9455700Z env:
2025-08-14T21:25:29.9455847Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:25:29.9456005Z   JOB_ID: 48128039130
2025-08-14T21:25:29.9456352Z   JOB_NAME: linux-jammy-cpu-py3.9-gcc11-inductor / test (inductor_torchbench_cpu_smoketest_perf, 1, 1, linux.24xl.spr-metal)
2025-08-14T21:25:29.9456716Z   WORKFLOW_NAME: inductor
2025-08-14T21:25:29.9456910Z   WORKFLOW_RUN_ID: 16976255153
2025-08-14T21:25:29.9457075Z   MONITOR_LOG_INTERVAL: 5
2025-08-14T21:25:29.9457245Z   MONITOR_DATA_COLLECT_INTERVAL: 1
2025-08-14T21:25:29.9457422Z ##[endgroup]
2025-08-14T21:25:30.4789766Z Defaulting to user installation because normal site-packages is not writeable
2025-08-14T21:25:30.7031497Z Collecting psutil==5.9.8
2025-08-14T21:25:30.7208139Z   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)
2025-08-14T21:25:30.8024259Z Collecting dataclasses_json==0.6.7
2025-08-14T21:25:30.8061435Z   Downloading dataclasses_json-0.6.7-py3-none-any.whl (28 kB)
2025-08-14T21:25:30.8427501Z Collecting nvidia-ml-py==11.525.84
2025-08-14T21:25:30.8476311Z   Downloading nvidia_ml_py-11.525.84-py3-none-any.whl (34 kB)
2025-08-14T21:25:30.9351262Z Collecting marshmallow<4.0.0,>=3.18.0
2025-08-14T21:25:30.9380038Z   Downloading marshmallow-3.26.1-py3-none-any.whl (50 kB)
2025-08-14T21:25:30.9792506Z Collecting typing-inspect<1,>=0.4.0
2025-08-14T21:25:30.9827590Z   Downloading typing_inspect-0.9.0-py3-none-any.whl (8.8 kB)
2025-08-14T21:25:31.0636995Z Collecting packaging>=17.0
2025-08-14T21:25:31.0732616Z   Downloading packaging-25.0-py3-none-any.whl (66 kB)
2025-08-14T21:25:31.1696650Z Collecting mypy-extensions>=0.3.0
2025-08-14T21:25:31.1738188Z   Downloading mypy_extensions-1.1.0-py3-none-any.whl (5.0 kB)
2025-08-14T21:25:31.2948866Z Collecting typing-extensions>=3.7.4
2025-08-14T21:25:31.3010224Z   Downloading typing_extensions-4.14.1-py3-none-any.whl (43 kB)
2025-08-14T21:25:31.5248204Z Installing collected packages: typing-extensions, packaging, mypy-extensions, typing-inspect, marshmallow, psutil, nvidia-ml-py, dataclasses-json
2025-08-14T21:25:32.1626484Z 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-4.14.1 typing-inspect-0.9.0
2025-08-14T21:25:32.3718122Z Prepare all required actions
2025-08-14T21:25:32.3718383Z Getting action download info
2025-08-14T21:25:32.5432890Z Download action repository 'seemethere/download-artifact-s3@v4' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6)
2025-08-14T21:25:33.0167847Z Download action repository 'actions/download-artifact@v4' (SHA:d3f86a106a0bac45b974a628896c90dbdf5c8093)
2025-08-14T21:25:33.3618032Z ##[group]Run ./.github/actions/download-build-artifacts
2025-08-14T21:25:33.3618275Z with:
2025-08-14T21:25:33.3618446Z   name: linux-jammy-py3.9-gcc11-build
2025-08-14T21:25:33.3618642Z   s3-bucket: gha-artifacts
2025-08-14T21:25:33.3618815Z env:
2025-08-14T21:25:33.3618965Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:25:33.3619128Z ##[endgroup]
2025-08-14T21:25:33.3809229Z ##[group]Run seemethere/download-artifact-s3@v4
2025-08-14T21:25:33.3809437Z with:
2025-08-14T21:25:33.3809599Z   name: linux-jammy-py3.9-gcc11-build
2025-08-14T21:25:33.3809798Z   s3-bucket: gha-artifacts
2025-08-14T21:25:33.3810000Z   region: us-east-1
2025-08-14T21:25:33.3810143Z env:
2025-08-14T21:25:33.3810282Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:25:33.3810443Z ##[endgroup]
2025-08-14T21:25:34.1075375Z (node:57466) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023.
2025-08-14T21:25:34.1075696Z 
2025-08-14T21:25:34.1075825Z Please migrate your code to use AWS SDK for JavaScript (v3).
2025-08-14T21:25:34.1076163Z For more information, check the migration guide at https://a.co/7PzMCcy
2025-08-14T21:25:34.1076549Z (Use `node --trace-warnings ...` to show where the warning was created)
2025-08-14T21:25:34.7498148Z Found 1 objects with prefix pytorch/pytorch/16976255153/linux-jammy-py3.9-gcc11-build/
2025-08-14T21:25:34.7498690Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip
2025-08-14T21:25:39.3548852Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip
2025-08-14T21:25:39.3553044Z Artifact download has finished successfully
2025-08-14T21:25:39.3715966Z ##[group]Run unzip -o artifacts.zip
2025-08-14T21:25:39.3716186Z unzip -o artifacts.zip
2025-08-14T21:25:39.3720428Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T21:25:39.3720650Z env:
2025-08-14T21:25:39.3720794Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:25:39.3720960Z ##[endgroup]
2025-08-14T21:25:39.3940746Z Archive:  artifacts.zip
2025-08-14T21:25:39.3941149Z    creating: dist/
2025-08-14T21:25:40.3997680Z   inflating: dist/torch-2.9.0a0+git1fc683c-cp39-cp39-linux_x86_64.whl  
2025-08-14T21:25:40.3998075Z    creating: dist/vision/
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2025-08-14T21:25:40.4068455Z    creating: dist/audio/
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2025-08-14T21:25:40.4161522Z    creating: dist/ao/
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2025-08-14T21:25:40.4301703Z   inflating: dist/.ninja_log         
2025-08-14T21:25:40.4302016Z    creating: build/custom_test_artifacts/
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2025-08-14T21:25:45.1404534Z   inflating: build/bin/basic         
2025-08-14T21:25:45.1456750Z   inflating: build/bin/broadcast_test  
2025-08-14T21:25:45.1505124Z   inflating: build/bin/cpu_allocator_test  
2025-08-14T21:25:45.1559846Z   inflating: build/bin/cpu_generator_test  
2025-08-14T21:25:45.1610216Z   inflating: build/bin/cpu_profiling_allocator_test  
2025-08-14T21:25:45.1694716Z   inflating: build/bin/cpu_rng_test  
2025-08-14T21:25:45.1743193Z   inflating: build/bin/dlconvertor_test  
2025-08-14T21:25:45.1797258Z   inflating: build/bin/extension_backend_test  
2025-08-14T21:25:45.1849901Z   inflating: build/bin/half_test     
2025-08-14T21:25:45.1938316Z   inflating: build/bin/ivalue_test   
2025-08-14T21:25:45.1985810Z   inflating: build/bin/lazy_tensor_test  
2025-08-14T21:25:45.2036427Z   inflating: build/bin/math_kernel_test  
2025-08-14T21:25:45.2087556Z   inflating: build/bin/memory_format_test  
2025-08-14T21:25:45.2138288Z   inflating: build/bin/memory_overlapping_test  
2025-08-14T21:25:45.2188758Z   inflating: build/bin/mobile_memory_cleanup  
2025-08-14T21:25:45.2241831Z   inflating: build/bin/native_test   
2025-08-14T21:25:45.2290486Z   inflating: build/bin/operator_name_test  
2025-08-14T21:25:45.2338594Z   inflating: build/bin/operators_test  
2025-08-14T21:25:45.2388056Z   inflating: build/bin/packedtensoraccessor_test  
2025-08-14T21:25:45.2450566Z   inflating: build/bin/pow_test      
2025-08-14T21:25:45.2504680Z   inflating: build/bin/quantized_test  
2025-08-14T21:25:45.2552216Z   inflating: build/bin/reduce_ops_test  
2025-08-14T21:25:45.2600855Z   inflating: build/bin/reportMemoryUsage_test  
2025-08-14T21:25:45.2654137Z   inflating: build/bin/scalar_tensor_test  
2025-08-14T21:25:45.2710043Z   inflating: build/bin/scalar_test   
2025-08-14T21:25:45.2758811Z   inflating: build/bin/StorageUtils_test  
2025-08-14T21:25:45.2808243Z   inflating: build/bin/stride_properties_test  
2025-08-14T21:25:45.2880830Z   inflating: build/bin/tensor_iterator_test  
2025-08-14T21:25:45.2932468Z   inflating: build/bin/test_parallel  
2025-08-14T21:25:45.2980563Z   inflating: build/bin/thread_init_test  
2025-08-14T21:25:45.3032664Z   inflating: build/bin/type_ptr_test  
2025-08-14T21:25:45.3088544Z   inflating: build/bin/type_test     
2025-08-14T21:25:45.3138565Z   inflating: build/bin/undefined_tensor_test  
2025-08-14T21:25:45.3185755Z   inflating: build/bin/verify_api_visibility  
2025-08-14T21:25:45.3251174Z   inflating: build/bin/legacy_vmap_test  
2025-08-14T21:25:45.3299739Z   inflating: build/bin/weakref_test  
2025-08-14T21:25:45.3348584Z   inflating: build/bin/wrapdim_test  
2025-08-14T21:25:45.3397361Z   inflating: build/bin/xla_tensor_test  
2025-08-14T21:25:45.3453524Z   inflating: build/bin/IListRef_test  
2025-08-14T21:25:45.3549130Z   inflating: build/bin/List_test     
2025-08-14T21:25:45.3610890Z   inflating: build/bin/KernelFunction_test  
2025-08-14T21:25:45.3719473Z   inflating: build/bin/kernel_function_legacy_test  
2025-08-14T21:25:45.3806548Z   inflating: build/bin/kernel_function_test  
2025-08-14T21:25:45.3919651Z   inflating: build/bin/kernel_lambda_legacy_test  
2025-08-14T21:25:45.4011847Z   inflating: build/bin/kernel_lambda_test  
2025-08-14T21:25:45.4068733Z   inflating: build/bin/kernel_stackbased_test  
2025-08-14T21:25:45.4155778Z   inflating: build/bin/make_boxed_from_unboxed_functor_test  
2025-08-14T21:25:45.4204384Z   inflating: build/bin/CppSignature_test  
2025-08-14T21:25:45.4256408Z   inflating: build/bin/backend_fallback_test  
2025-08-14T21:25:45.4303347Z   inflating: build/bin/op_allowlist_test  
2025-08-14T21:25:45.4574489Z   inflating: build/bin/op_registration_test  
2025-08-14T21:25:45.4637247Z   inflating: build/bin/inline_container_test  
2025-08-14T21:25:45.5600866Z   inflating: build/bin/test_jit      
2025-08-14T21:25:45.5649007Z   inflating: build/bin/BackoffTest   
2025-08-14T21:25:45.5932093Z   inflating: build/bin/test_nativert  
2025-08-14T21:25:45.5983838Z   inflating: build/bin/TCPStoreTest  
2025-08-14T21:25:45.6034201Z   inflating: build/bin/FileStoreTest  
2025-08-14T21:25:45.6085119Z   inflating: build/bin/HashStoreTest  
2025-08-14T21:25:45.6087480Z   inflating: build/bin/example_allreduce  
2025-08-14T21:25:45.6139530Z   inflating: build/bin/test_dist_autograd  
2025-08-14T21:25:45.6201395Z   inflating: build/bin/ProcessGroupGlooTest  
2025-08-14T21:25:45.6264301Z   inflating: build/bin/test_cpp_rpc  
2025-08-14T21:25:45.6266338Z   inflating: build/bin/parallel_benchmark  
2025-08-14T21:25:45.7253388Z   inflating: build/bin/test_api      
2025-08-14T21:25:45.7553370Z   inflating: build/bin/test_lazy     
2025-08-14T21:25:45.7554656Z   inflating: build/bin/torch_shm_manager  
2025-08-14T21:25:45.7554910Z    creating: .additional_ci_files/
2025-08-14T21:25:45.7622356Z   inflating: .additional_ci_files/test-times.json  
2025-08-14T21:25:45.7882187Z   inflating: .additional_ci_files/test-class-times.json  
2025-08-14T21:25:45.7902115Z ##[group]Run rm artifacts.zip
2025-08-14T21:25:45.7902329Z rm artifacts.zip
2025-08-14T21:25:45.7906743Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T21:25:45.7906963Z env:
2025-08-14T21:25:45.7907109Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:25:45.7907277Z ##[endgroup]
2025-08-14T21:25:45.8335322Z ##[group]Run df -H
2025-08-14T21:25:45.8335495Z df -H
2025-08-14T21:25:45.8338956Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T21:25:45.8339174Z env:
2025-08-14T21:25:45.8339333Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:25:45.8339502Z ##[endgroup]
2025-08-14T21:25:45.8372615Z Filesystem        Size  Used Avail Use% Mounted on
2025-08-14T21:25:45.8372895Z devtmpfs          4.2M     0  4.2M   0% /dev
2025-08-14T21:25:45.8373114Z tmpfs             102G     0  102G   0% /dev/shm
2025-08-14T21:25:45.8373337Z tmpfs              41G   11M   41G   1% /run
2025-08-14T21:25:45.8373538Z /dev/nvme0n1p1    215G   71G  145G  33% /
2025-08-14T21:25:45.8373742Z tmpfs             102G   13k  102G   1% /tmp
2025-08-14T21:25:45.8374158Z /dev/nvme0n1p128   11M  1.4M  9.2M  13% /boot/efi
2025-08-14T21:25:45.8395672Z Prepare all required actions
2025-08-14T21:25:45.8396387Z Getting action download info
2025-08-14T21:25:45.9780478Z ##[group]Run ./.github/actions/download-td-artifacts
2025-08-14T21:25:45.9780701Z with:
2025-08-14T21:25:45.9780841Z env:
2025-08-14T21:25:45.9780986Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:25:45.9781146Z ##[endgroup]
2025-08-14T21:25:45.9987778Z ##[group]Run seemethere/download-artifact-s3@v4
2025-08-14T21:25:45.9987980Z with:
2025-08-14T21:25:45.9988124Z   name: td_results
2025-08-14T21:25:45.9988286Z   s3-bucket: gha-artifacts
2025-08-14T21:25:45.9988451Z   region: us-east-1
2025-08-14T21:25:45.9988604Z env:
2025-08-14T21:25:45.9988750Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:25:45.9988907Z ##[endgroup]
2025-08-14T21:25:46.3143634Z (node:57485) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023.
2025-08-14T21:25:46.3143932Z 
2025-08-14T21:25:46.3144134Z Please migrate your code to use AWS SDK for JavaScript (v3).
2025-08-14T21:25:46.3144453Z For more information, check the migration guide at https://a.co/7PzMCcy
2025-08-14T21:25:46.3144778Z (Use `node --trace-warnings ...` to show where the warning was created)
2025-08-14T21:25:46.3895279Z Found 0 objects with prefix pytorch/pytorch/16976255153/td_results/
2025-08-14T21:25:46.3897719Z Artifact download has finished successfully
2025-08-14T21:25:46.4267878Z ##[group]Run mkdir -p .additional_ci_files
2025-08-14T21:25:46.4268117Z mkdir -p .additional_ci_files
2025-08-14T21:25:46.4268387Z mv td_results.json .additional_ci_files/td_results.json || true
2025-08-14T21:25:46.4273667Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T21:25:46.4273912Z env:
2025-08-14T21:25:46.4274062Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:25:46.4274220Z ##[endgroup]
2025-08-14T21:25:46.4315291Z mv: cannot stat 'td_results.json': No such file or directory
2025-08-14T21:25:46.4415927Z ##[group]Run .github/scripts/parse_ref.py
2025-08-14T21:25:46.4416173Z .github/scripts/parse_ref.py
2025-08-14T21:25:46.4420111Z shell: /usr/bin/bash -e {0}
2025-08-14T21:25:46.4420286Z env:
2025-08-14T21:25:46.4420436Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:25:46.4420602Z ##[endgroup]
2025-08-14T21:25:46.5028854Z Setting output branch=main
2025-08-14T21:25:46.5109481Z Prepare all required actions
2025-08-14T21:25:46.5109778Z Getting action download info
2025-08-14T21:25:46.7250527Z ##[group]Run ./.github/actions/filter-test-configs
2025-08-14T21:25:46.7250741Z with:
2025-08-14T21:25:46.7251044Z   github-token: ***
2025-08-14T21:25:46.7252540Z   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"}]}
2025-08-14T21:25:46.7254228Z   job-name: linux-jammy-cpu-py3.9-gcc11-inductor / test (inductor_torchbench_cpu_smoketest_perf, 1, 1, linux.24xl.spr-metal)
2025-08-14T21:25:46.7254598Z env:
2025-08-14T21:25:46.7254742Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:25:46.7254915Z ##[endgroup]
2025-08-14T21:25:46.7359165Z ##[group]Run nick-fields/retry@v3.0.0
2025-08-14T21:25:46.7359352Z with:
2025-08-14T21:25:46.7359495Z   shell: bash
2025-08-14T21:25:46.7359648Z   timeout_minutes: 10
2025-08-14T21:25:46.7359888Z   max_attempts: 5
2025-08-14T21:25:46.7360051Z   retry_wait_seconds: 30
2025-08-14T21:25:46.7360505Z   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

2025-08-14T21:25:46.7360966Z   polling_interval_seconds: 1
2025-08-14T21:25:46.7361153Z   warning_on_retry: true
2025-08-14T21:25:46.7361326Z   continue_on_error: false
2025-08-14T21:25:46.7361497Z env:
2025-08-14T21:25:46.7361640Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:25:46.7361925Z   GITHUB_TOKEN: ***
2025-08-14T21:25:46.7362082Z ##[endgroup]
2025-08-14T21:25:46.9049922Z + python3 -m pip install requests==2.27.1 pyyaml==6.0.2
2025-08-14T21:25:47.0657774Z Defaulting to user installation because normal site-packages is not writeable
2025-08-14T21:25:47.1516261Z Collecting requests==2.27.1
2025-08-14T21:25:47.1638715Z   Downloading requests-2.27.1-py2.py3-none-any.whl (63 kB)
2025-08-14T21:25:47.3157948Z Collecting pyyaml==6.0.2
2025-08-14T21:25:47.3184096Z   Downloading PyYAML-6.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (737 kB)
2025-08-14T21:25:47.6585196Z Collecting charset-normalizer~=2.0.0
2025-08-14T21:25:47.6612446Z   Downloading charset_normalizer-2.0.12-py3-none-any.whl (39 kB)
2025-08-14T21:25:47.7161810Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (1.25.10)
2025-08-14T21:25:47.7164640Z Requirement already satisfied: idna<4,>=2.5 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (2.10)
2025-08-14T21:25:47.7941830Z Collecting certifi>=2017.4.17
2025-08-14T21:25:47.7972300Z   Downloading certifi-2025.8.3-py3-none-any.whl (161 kB)
2025-08-14T21:25:47.9009545Z Installing collected packages: charset-normalizer, certifi, requests, pyyaml
2025-08-14T21:25:48.3039626Z Successfully installed certifi-2025.8.3 charset-normalizer-2.0.12 pyyaml-6.0.2 requests-2.27.1
2025-08-14T21:25:48.7917551Z Command completed after 1 attempt(s).
2025-08-14T21:25:48.8172248Z ##[group]Run set -x
2025-08-14T21:25:48.8172431Z set -x
2025-08-14T21:25:48.8172583Z 
2025-08-14T21:25:48.8172810Z # Use relative path here as this could be checked out anywhere, not necessarily
2025-08-14T21:25:48.8173098Z # in runner workspace
2025-08-14T21:25:48.8173452Z python3 "${GITHUB_ACTION_PATH}/../../scripts/parse_ref.py"
2025-08-14T21:25:48.8178561Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T21:25:48.8178775Z env:
2025-08-14T21:25:48.8178925Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:25:48.8179093Z ##[endgroup]
2025-08-14T21:25:48.8195787Z + python3 /home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/filter-test-configs/../../scripts/parse_ref.py
2025-08-14T21:25:48.8323052Z Setting output branch=main
2025-08-14T21:25:48.8512690Z ##[group]Run echo "Workflow: ${GITHUB_WORKFLOW}"
2025-08-14T21:25:48.8512965Z echo "Workflow: ${GITHUB_WORKFLOW}"
2025-08-14T21:25:48.8513196Z echo "Job name: ${JOB_NAME}"
2025-08-14T21:25:48.8513419Z 
2025-08-14T21:25:48.8513675Z # Use relative path here as this could be checked out anywhere, not necessarily
2025-08-14T21:25:48.8513994Z # in runner workspace
2025-08-14T21:25:48.8514293Z python3 "${GITHUB_ACTION_PATH}/../../scripts/filter_test_configs.py" \
2025-08-14T21:25:48.8514596Z   --workflow "${GITHUB_WORKFLOW}" \
2025-08-14T21:25:48.8514827Z   --job-name "${JOB_NAME}" \
2025-08-14T21:25:48.8516361Z   --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"}]}" \
2025-08-14T21:25:48.8517966Z   --selected-test-configs "" \
2025-08-14T21:25:48.8518179Z   --pr-number "${PR_NUMBER}" \
2025-08-14T21:25:48.8518377Z   --tag "${TAG}" \
2025-08-14T21:25:48.8518570Z   --event-name "${EVENT_NAME}" \
2025-08-14T21:25:48.8518761Z   --schedule "${SCHEDULE}" \
2025-08-14T21:25:48.8518971Z   --branch "${HEAD_BRANCH}"
2025-08-14T21:25:48.8522525Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T21:25:48.8522742Z env:
2025-08-14T21:25:48.8522891Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:25:48.8523249Z   GITHUB_TOKEN: ***
2025-08-14T21:25:48.8523595Z   JOB_NAME: linux-jammy-cpu-py3.9-gcc11-inductor / test (inductor_torchbench_cpu_smoketest_perf, 1, 1, linux.24xl.spr-metal)
2025-08-14T21:25:48.8523948Z   PR_NUMBER: 
2025-08-14T21:25:48.8524099Z   TAG: 
2025-08-14T21:25:48.8524239Z   EVENT_NAME: push
2025-08-14T21:25:48.8524387Z   SCHEDULE: 
2025-08-14T21:25:48.8524537Z   HEAD_BRANCH: main
2025-08-14T21:25:48.8524693Z ##[endgroup]
2025-08-14T21:25:48.8540910Z Workflow: inductor
2025-08-14T21:25:48.8541315Z Job name: linux-jammy-cpu-py3.9-gcc11-inductor / test (inductor_torchbench_cpu_smoketest_perf, 1, 1, linux.24xl.spr-metal)
2025-08-14T21:25:49.0326944Z Setting output keep-going=True
2025-08-14T21:25:49.0327196Z Setting output ci-verbose-test-logs=False
2025-08-14T21:25:49.0327419Z Setting output ci-test-showlocals=False
2025-08-14T21:25:49.0327675Z Setting output ci-no-test-timeout=False
2025-08-14T21:25:49.0327951Z Setting output ci-no-td=False
2025-08-14T21:25:49.0328233Z Setting output ci-td-distributed=False
2025-08-14T21:25:49.0328632Z Setting output is-unstable=False
2025-08-14T21:25:49.0328869Z Setting output reenabled-issues=
2025-08-14T21:25:49.0330673Z 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"}]}
2025-08-14T21:25:49.0332281Z Setting output is-test-matrix-empty=False
2025-08-14T21:25:49.0524411Z ##[group]Run echo "Filtered matrix:"
2025-08-14T21:25:49.0524688Z echo "Filtered matrix:"
2025-08-14T21:25:49.0526200Z 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"}]}"
2025-08-14T21:25:49.0527802Z 
2025-08-14T21:25:49.0528017Z echo
2025-08-14T21:25:49.0528247Z echo "Is the current job unstable? False"
2025-08-14T21:25:49.0528484Z 
2025-08-14T21:25:49.0528700Z echo
2025-08-14T21:25:49.0528921Z echo "Is keep-going label set? True"
2025-08-14T21:25:49.0529214Z 
2025-08-14T21:25:49.0529383Z echo
2025-08-14T21:25:49.0529576Z echo "Reenabled issues? "
2025-08-14T21:25:49.0533066Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T21:25:49.0533308Z env:
2025-08-14T21:25:49.0533510Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:25:49.0533724Z ##[endgroup]
2025-08-14T21:25:49.0549676Z Filtered matrix:
2025-08-14T21:25:49.0551443Z {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}]}
2025-08-14T21:25:49.0552935Z 
2025-08-14T21:25:49.0553052Z Is the current job unstable? False
2025-08-14T21:25:49.0553239Z 
2025-08-14T21:25:49.0553339Z Is keep-going label set? True
2025-08-14T21:25:49.0553474Z 
2025-08-14T21:25:49.0553579Z Reenabled issues? 
2025-08-14T21:25:49.0657775Z ##[group]Run echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}"
2025-08-14T21:25:49.0658119Z echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}"
2025-08-14T21:25:49.0661700Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T21:25:49.0661937Z env:
2025-08-14T21:25:49.0662090Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:25:49.0662252Z   JOB_TIMEOUT: 240
2025-08-14T21:25:49.0662408Z ##[endgroup]
2025-08-14T21:25:49.0831652Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-08-14T21:25:49.0831969Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-08-14T21:25:49.0832226Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-08-14T21:25:49.0835754Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T21:25:49.0835987Z env:
2025-08-14T21:25:49.0836140Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:25:49.0836311Z ##[endgroup]
2025-08-14T21:25:49.0971904Z ##[group]Run set -x
2025-08-14T21:25:49.0972136Z set -x
2025-08-14T21:25:49.0972275Z 
2025-08-14T21:25:49.0972441Z if [[ $TEST_CONFIG == 'multigpu' ]]; then
2025-08-14T21:25:49.0972695Z   TEST_COMMAND=.ci/pytorch/multigpu-test.sh
2025-08-14T21:25:49.0972927Z elif [[ $BUILD_ENVIRONMENT == *onnx* ]]; then
2025-08-14T21:25:49.0973143Z   TEST_COMMAND=.ci/onnx/test.sh
2025-08-14T21:25:49.0973326Z else
2025-08-14T21:25:49.0973487Z   TEST_COMMAND=.ci/pytorch/test.sh
2025-08-14T21:25:49.0973665Z fi
2025-08-14T21:25:49.0973796Z 
2025-08-14T21:25:49.0973961Z # Leaving 1GB for the runner and other things
2025-08-14T21:25:49.0974286Z TOTAL_AVAILABLE_MEMORY_IN_GB=$(awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo)
2025-08-14T21:25:49.0974781Z # https://docs.docker.com/engine/containers/resource_constraints/#--memory-swap-details, the 3GB swap
2025-08-14T21:25:49.0975175Z # comes from https://github.com/pytorch/test-infra/pull/6058
2025-08-14T21:25:49.0975470Z TOTAL_MEMORY_WITH_SWAP=$(("${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}" + 3))
2025-08-14T21:25:49.0976221Z 
2025-08-14T21:25:49.0976397Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then
2025-08-14T21:25:49.0976596Z   SHM_OPTS=
2025-08-14T21:25:49.0976758Z   JENKINS_USER=
2025-08-14T21:25:49.0976980Z   # ensure that docker container cleanly exits in 12 hours
2025-08-14T21:25:49.0977250Z   # if for some reason cleanup action doesn't stop container
2025-08-14T21:25:49.0977489Z   # when job is cancelled
2025-08-14T21:25:49.0977682Z   DOCKER_SHELL_CMD="sleep 12h"
2025-08-14T21:25:49.0977862Z else
2025-08-14T21:25:49.0978018Z   SHM_OPTS="--shm-size=${SHM_SIZE}"
2025-08-14T21:25:49.0978222Z   JENKINS_USER="--user jenkins"
2025-08-14T21:25:49.0978415Z   DOCKER_SHELL_CMD=
2025-08-14T21:25:49.0978573Z fi
2025-08-14T21:25:49.0978707Z 
2025-08-14T21:25:49.0978923Z # detached container should get cleaned up by teardown_ec2_linux
2025-08-14T21:25:49.0979229Z # TODO: Stop building test binaries as part of the build phase
2025-08-14T21:25:49.0979560Z # Used for GPU_FLAG, SHM_OPTS, JENKINS_USER and DOCKER_SHELL_CMD since that doesn't play nice
2025-08-14T21:25:49.0979860Z # shellcheck disable=SC2086,SC2090
2025-08-14T21:25:49.0980064Z container_name=$(docker run \
2025-08-14T21:25:49.0980244Z   ${GPU_FLAG:-} \
2025-08-14T21:25:49.0980432Z   ${SCCACHE_SERVER_PORT_DOCKER_FLAG:-} \
2025-08-14T21:25:49.0980639Z   -e BUILD_ENVIRONMENT \
2025-08-14T21:25:49.0980829Z   -e PR_NUMBER \
2025-08-14T21:25:49.0980995Z   -e GITHUB_ACTIONS \
2025-08-14T21:25:49.0981175Z   -e GITHUB_REPOSITORY \
2025-08-14T21:25:49.0981361Z   -e GITHUB_WORKFLOW \
2025-08-14T21:25:49.0981531Z   -e GITHUB_JOB \
2025-08-14T21:25:49.0981695Z   -e GITHUB_RUN_ID \
2025-08-14T21:25:49.0981876Z   -e GITHUB_RUN_NUMBER \
2025-08-14T21:25:49.0982047Z   -e GITHUB_RUN_ATTEMPT \
2025-08-14T21:25:49.0982228Z   -e JOB_ID \
2025-08-14T21:25:49.0982388Z   -e JOB_NAME \
2025-08-14T21:25:49.0982545Z   -e BASE_SHA \
2025-08-14T21:25:49.0982702Z   -e BRANCH \
2025-08-14T21:25:49.0982854Z   -e SHA1 \
2025-08-14T21:25:49.0983010Z   -e AWS_DEFAULT_REGION \
2025-08-14T21:25:49.0983182Z   -e IN_WHEEL_TEST \
2025-08-14T21:25:49.0983355Z   -e SHARD_NUMBER \
2025-08-14T21:25:49.0983525Z   -e TEST_CONFIG \
2025-08-14T21:25:49.0983689Z   -e NUM_TEST_SHARDS \
2025-08-14T21:25:49.0983867Z   -e REENABLED_ISSUES \
2025-08-14T21:25:49.0984051Z   -e CONTINUE_THROUGH_ERROR \
2025-08-14T21:25:49.0984298Z   -e VERBOSE_TEST_LOGS \
2025-08-14T21:25:49.0984485Z   -e TEST_SHOWLOCALS \
2025-08-14T21:25:49.0984660Z   -e NO_TEST_TIMEOUT \
2025-08-14T21:25:49.0984824Z   -e NO_TD \
2025-08-14T21:25:49.0984986Z   -e TD_DISTRIBUTED \
2025-08-14T21:25:49.0985160Z   -e PR_LABELS \
2025-08-14T21:25:49.0985351Z   -e MAX_JOBS="$(nproc --ignore=2)" \
2025-08-14T21:25:49.0985549Z   -e SCCACHE_BUCKET \
2025-08-14T21:25:49.0985726Z   -e SCCACHE_REGION \
2025-08-14T21:25:49.0985898Z   -e XLA_CUDA \
2025-08-14T21:25:49.0986072Z   -e XLA_CLANG_CACHE_S3_BUCKET_NAME \
2025-08-14T21:25:49.0986292Z   -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK \
2025-08-14T21:25:49.0986515Z   -e PYTORCH_TEST_RERUN_DISABLED_TESTS \
2025-08-14T21:25:49.0986726Z   -e SKIP_SCCACHE_INITIALIZATION=1 \
2025-08-14T21:25:49.0986931Z   -e HUGGING_FACE_HUB_TOKEN \
2025-08-14T21:25:49.0987133Z   -e SCRIBE_GRAPHQL_ACCESS_TOKEN \
2025-08-14T21:25:49.0987329Z   -e DASHBOARD_TAG \
2025-08-14T21:25:49.0987503Z   -e ARTIFACTS_FILE_SUFFIX \
2025-08-14T21:25:49.0987751Z   --memory="${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}g" \
2025-08-14T21:25:49.0987996Z   --memory-swap="${TOTAL_MEMORY_WITH_SWAP}g" \
2025-08-14T21:25:49.0988232Z   --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \
2025-08-14T21:25:49.0988464Z   --security-opt seccomp=unconfined \
2025-08-14T21:25:49.0988665Z   --cap-add=SYS_PTRACE \
2025-08-14T21:25:49.0988846Z   --ipc=host \
2025-08-14T21:25:49.0989006Z   ${SHM_OPTS} \
2025-08-14T21:25:49.0989164Z   --tty \
2025-08-14T21:25:49.0989319Z   --detach \
2025-08-14T21:25:49.0989484Z   --name="${container_name}" \
2025-08-14T21:25:49.0989675Z   ${JENKINS_USER} \
2025-08-14T21:25:49.0989891Z   -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \
2025-08-14T21:25:49.0990127Z   -w /var/lib/jenkins/workspace \
2025-08-14T21:25:49.0990321Z   "${DOCKER_IMAGE}" \
2025-08-14T21:25:49.0990496Z   ${DOCKER_SHELL_CMD}
2025-08-14T21:25:49.0990662Z )
2025-08-14T21:25:49.0990844Z # Propagate download.pytorch.org IP to container
2025-08-14T21:25:49.0991223Z grep download.pytorch.org /etc/hosts | docker exec -i "${container_name}" sudo bash -c "/bin/cat >> /etc/hosts"
2025-08-14T21:25:49.0991617Z echo "DOCKER_CONTAINER_ID=${container_name}" >> "${GITHUB_ENV}"
2025-08-14T21:25:49.0991848Z 
2025-08-14T21:25:49.0992017Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then
2025-08-14T21:25:49.0992346Z   docker exec -t "${container_name}" sh -c "python3 -m pip install -r .ci/docker/requirements-ci.txt"
2025-08-14T21:25:49.0992632Z fi
2025-08-14T21:25:49.0992762Z 
2025-08-14T21:25:49.0993046Z docker exec -t "${container_name}" sh -c "python3 -m pip install $(echo dist/*.whl)[opt-einsum] && ${TEST_COMMAND}"
2025-08-14T21:25:49.0996450Z shell: /usr/bin/bash -e {0}
2025-08-14T21:25:49.0996608Z env:
2025-08-14T21:25:49.0996761Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:25:49.0996969Z   BUILD_ENVIRONMENT: linux-jammy-py3.9-gcc11-build
2025-08-14T21:25:49.0997174Z   PR_NUMBER: 
2025-08-14T21:25:49.0997332Z   GITHUB_REPOSITORY: pytorch/pytorch
2025-08-14T21:25:49.0997524Z   GITHUB_WORKFLOW: inductor
2025-08-14T21:25:49.0997688Z   GITHUB_JOB: test
2025-08-14T21:25:49.0997835Z   GITHUB_RUN_ID: 16976255153
2025-08-14T21:25:49.0998002Z   GITHUB_RUN_NUMBER: 147536
2025-08-14T21:25:49.0998169Z   GITHUB_RUN_ATTEMPT: 1
2025-08-14T21:25:49.0998320Z   JOB_ID: 48128039130
2025-08-14T21:25:49.0998662Z   JOB_NAME: linux-jammy-cpu-py3.9-gcc11-inductor / test (inductor_torchbench_cpu_smoketest_perf, 1, 1, linux.24xl.spr-metal)
2025-08-14T21:25:49.0999019Z   BRANCH: main
2025-08-14T21:25:49.0999180Z   SHA1: 1fc683cf17c8c673044538d10266c00f92987be2
2025-08-14T21:25:49.0999461Z   BASE_SHA: 1fc683cf17c8c673044538d10266c00f92987be2
2025-08-14T21:25:49.0999698Z   TEST_CONFIG: inductor_torchbench_cpu_smoketest_perf
2025-08-14T21:25:49.0999906Z   SHARD_NUMBER: 1
2025-08-14T21:25:49.1000050Z   NUM_TEST_SHARDS: 1
2025-08-14T21:25:49.1000203Z   REENABLED_ISSUES: 
2025-08-14T21:25:49.1000362Z   CONTINUE_THROUGH_ERROR: True
2025-08-14T21:25:49.1000527Z   VERBOSE_TEST_LOGS: False
2025-08-14T21:25:49.1000697Z   TEST_SHOWLOCALS: False
2025-08-14T21:25:49.1000866Z   NO_TEST_TIMEOUT: False
2025-08-14T21:25:49.1001017Z   NO_TD: False
2025-08-14T21:25:49.1001170Z   TD_DISTRIBUTED: False
2025-08-14T21:25:49.1001370Z   SCCACHE_BUCKET: ossci-compiler-cache-circleci-v2
2025-08-14T21:25:49.1001582Z   SCCACHE_REGION: us-east-1
2025-08-14T21:25:49.1001747Z   SHM_SIZE: 1g
2025-08-14T21:25:49.1002209Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T21:25:49.1002689Z   XLA_CUDA: 
2025-08-14T21:25:49.1002902Z   XLA_CLANG_CACHE_S3_BUCKET_NAME: ossci-compiler-clang-cache-circleci-xla
2025-08-14T21:25:49.1003170Z   PYTORCH_TEST_CUDA_MEM_LEAK_CHECK: 0
2025-08-14T21:25:49.1003400Z   PYTORCH_TEST_RERUN_DISABLED_TESTS: 0
2025-08-14T21:25:49.1003576Z   DASHBOARD_TAG: 
2025-08-14T21:25:49.1003849Z   HUGGING_FACE_HUB_TOKEN: ***
2025-08-14T21:25:49.1004097Z   SCRIBE_GRAPHQL_ACCESS_TOKEN: ***
2025-08-14T21:25:49.1004420Z   ARTIFACTS_FILE_SUFFIX: test-inductor_torchbench_cpu_smoketest_perf-1-1-linux.24xl.spr-metal_48128039130
2025-08-14T21:25:49.1004743Z ##[endgroup]
2025-08-14T21:25:49.1019861Z + [[ inductor_torchbench_cpu_smoketest_perf == \m\u\l\t\i\g\p\u ]]
2025-08-14T21:25:49.1020186Z + [[ linux-jammy-py3.9-gcc11-build == *onnx* ]]
2025-08-14T21:25:49.1020419Z + TEST_COMMAND=.ci/pytorch/test.sh
2025-08-14T21:25:49.1022410Z ++ awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo
2025-08-14T21:25:49.1035928Z + TOTAL_AVAILABLE_MEMORY_IN_GB='187.488 '
2025-08-14T21:25:49.1036178Z + TOTAL_MEMORY_WITH_SWAP=190
2025-08-14T21:25:49.1036402Z + [[ linux-jammy-py3.9-gcc11-build == *\s\3\9\0\x* ]]
2025-08-14T21:25:49.1036630Z + SHM_OPTS=--shm-size=1g
2025-08-14T21:25:49.1036810Z + JENKINS_USER='--user jenkins'
2025-08-14T21:25:49.1036985Z + DOCKER_SHELL_CMD=
2025-08-14T21:25:49.1041957Z +++ nproc --ignore=2
2025-08-14T21:25:49.1460510Z ++ 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 SCRIBE_GRAPHQL_ACCESS_TOKEN -e DASHBOARD_TAG -e ARTIFACTS_FILE_SUFFIX --memory=187g --memory-swap=190g --env-file=/tmp/github_env_16976255153 --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-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T21:28:21.6346563Z + container_name=3d5faa61ab790c4694fb04ea0659153d28b67bfb3a176de3f84bfb4b1f113c93
2025-08-14T21:28:21.6349529Z + grep download.pytorch.org /etc/hosts
2025-08-14T21:28:21.6350663Z + docker exec -i 3d5faa61ab790c4694fb04ea0659153d28b67bfb3a176de3f84bfb4b1f113c93 sudo bash -c '/bin/cat >> /etc/hosts'
2025-08-14T21:28:21.7584443Z + echo DOCKER_CONTAINER_ID=3d5faa61ab790c4694fb04ea0659153d28b67bfb3a176de3f84bfb4b1f113c93
2025-08-14T21:28:21.7585704Z + [[ linux-jammy-py3.9-gcc11-build == *\s\3\9\0\x* ]]
2025-08-14T21:28:21.7589539Z ++ echo dist/torch-2.9.0a0+git1fc683c-cp39-cp39-linux_x86_64.whl
2025-08-14T21:28:21.7591107Z + docker exec -t 3d5faa61ab790c4694fb04ea0659153d28b67bfb3a176de3f84bfb4b1f113c93 sh -c 'python3 -m pip install dist/torch-2.9.0a0+git1fc683c-cp39-cp39-linux_x86_64.whl[opt-einsum] && .ci/pytorch/test.sh'
2025-08-14T21:28:22.0639711Z Processing ./dist/torch-2.9.0a0+git1fc683c-cp39-cp39-linux_x86_64.whl (from torch==2.9.0a0+git1fc683c)
2025-08-14T21:28:22.2626407Z Requirement already satisfied: filelock in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from torch==2.9.0a0+git1fc683c->torch==2.9.0a0+git1fc683c) (3.18.0)
2025-08-14T21:28:22.2627137Z Requirement already satisfied: typing-extensions>=4.10.0 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from torch==2.9.0a0+git1fc683c->torch==2.9.0a0+git1fc683c) (4.14.1)
2025-08-14T21:28:22.2627833Z Requirement already satisfied: sympy>=1.13.3 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from torch==2.9.0a0+git1fc683c->torch==2.9.0a0+git1fc683c) (1.13.3)
2025-08-14T21:28:22.2628497Z Requirement already satisfied: networkx>=2.5.1 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from torch==2.9.0a0+git1fc683c->torch==2.9.0a0+git1fc683c) (2.8.8)
2025-08-14T21:28:22.2630352Z Requirement already satisfied: jinja2 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from torch==2.9.0a0+git1fc683c->torch==2.9.0a0+git1fc683c) (3.1.6)
2025-08-14T21:28:22.2633192Z Requirement already satisfied: fsspec>=0.8.5 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from torch==2.9.0a0+git1fc683c->torch==2.9.0a0+git1fc683c) (2025.3.0)
2025-08-14T21:28:22.2642967Z Requirement already satisfied: opt-einsum>=3.3 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from torch==2.9.0a0+git1fc683c->torch==2.9.0a0+git1fc683c) (3.3.0)
2025-08-14T21:28:22.2904884Z Requirement already satisfied: numpy>=1.7 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from opt-einsum>=3.3->torch==2.9.0a0+git1fc683c->torch==2.9.0a0+git1fc683c) (1.22.4)
2025-08-14T21:28:22.2917103Z Requirement already satisfied: mpmath<1.4,>=1.1.0 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from sympy>=1.13.3->torch==2.9.0a0+git1fc683c->torch==2.9.0a0+git1fc683c) (1.3.0)
2025-08-14T21:28:22.2959350Z Requirement already satisfied: MarkupSafe>=2.0 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from jinja2->torch==2.9.0a0+git1fc683c->torch==2.9.0a0+git1fc683c) (3.0.2)
2025-08-14T21:28:22.9741801Z Installing collected packages: torch
2025-08-14T21:28:29.4363873Z 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.
2025-08-14T21:28:29.4364440Z dall-e 0.1 requires torchvision, which is not installed.
2025-08-14T21:28:29.4364751Z effdet 0.4.1 requires torchvision, which is not installed.
2025-08-14T21:28:29.4365115Z pytorch-labs-segment-anything-fast 0.2 requires torchao, which is not installed.
2025-08-14T21:28:29.4365552Z pytorch-labs-segment-anything-fast 0.2 requires torchvision>=0.17.0.dev20231026, which is not installed.
2025-08-14T21:28:29.4366026Z timm 1.0.14 requires torchvision, which is not installed.
2025-08-14T21:28:29.4366336Z Successfully installed torch-2.9.0a0+git1fc683c
2025-08-14T21:28:29.5208201Z + export TERM=vt100
2025-08-14T21:28:29.5208423Z + TERM=vt100
2025-08-14T21:28:29.5208582Z ++ dirname .ci/pytorch/test.sh
2025-08-14T21:28:29.5209829Z + source .ci/pytorch/common.sh
2025-08-14T21:28:29.5212649Z +++ dirname .ci/pytorch/common.sh
2025-08-14T21:28:29.5217771Z ++ source .ci/pytorch/common_utils.sh
2025-08-14T21:28:29.5218530Z +++ declare -f -t trap_add
2025-08-14T21:28:29.5221493Z ++ set -ex -o pipefail
2025-08-14T21:28:29.5221701Z ++ [[ linux-jammy-py3.9-gcc11-build == *rocm* ]]
2025-08-14T21:28:29.5221910Z ++ BUILD_TEST_LIBTORCH=0
2025-08-14T21:28:29.5225280Z ++ dirname .ci/pytorch/test.sh
2025-08-14T21:28:29.5230705Z + source .ci/pytorch/common-build.sh
2025-08-14T21:28:29.5231236Z ++ [[ linux-jammy-py3.9-gcc11-build != *win-* ]]
2025-08-14T21:28:29.5237037Z ++++ dirname .ci/pytorch/common-build.sh
2025-08-14T21:28:29.5242392Z +++ cd .ci/pytorch
2025-08-14T21:28:29.5242644Z +++ pwd -P
2025-08-14T21:28:29.5244239Z ++ script_dir=/var/lib/jenkins/workspace/.ci/pytorch
2025-08-14T21:28:29.5244486Z ++ [[ linux-jammy-py3.9-gcc11-build == *-pch* ]]
2025-08-14T21:28:29.5244682Z ++ which sccache
2025-08-14T21:28:29.5260240Z ++ [[ -z ossci-compiler-cache-circleci-v2 ]]
2025-08-14T21:28:29.5260453Z ++ sccache --stop-server
2025-08-14T21:28:29.5282681Z ++ true
2025-08-14T21:28:29.5282844Z ++ rm -f /var/lib/jenkins/sccache_error.log
2025-08-14T21:28:29.5287897Z ++ trap_add sccache_epilogue EXIT
2025-08-14T21:28:29.5288105Z ++ trap_add_cmd=sccache_epilogue
2025-08-14T21:28:29.5288284Z ++ shift
2025-08-14T21:28:29.5288435Z ++ for trap_add_name in "$@"
2025-08-14T21:28:29.5292516Z ++++ trap -p EXIT
2025-08-14T21:28:29.5294006Z +++ eval 'extract_trap_cmd '
2025-08-14T21:28:29.5294185Z ++++ extract_trap_cmd
2025-08-14T21:28:29.5294347Z ++++ printf '%s\n' ''
2025-08-14T21:28:29.5294593Z +++ printf '%s\n' sccache_epilogue
2025-08-14T21:28:29.5295709Z ++ trap -- '
2025-08-14T21:28:29.5295859Z sccache_epilogue' EXIT
2025-08-14T21:28:29.5296037Z ++ [[ -n 1 ]]
2025-08-14T21:28:29.5296276Z ++ echo 'Skipping sccache server initialization, setting environment variables'
2025-08-14T21:28:29.5296629Z Skipping sccache server initialization, setting environment variables
2025-08-14T21:28:29.5296889Z ++ export SCCACHE_IDLE_TIMEOUT=0
2025-08-14T21:28:29.5297077Z ++ SCCACHE_IDLE_TIMEOUT=0
2025-08-14T21:28:29.5297307Z ++ export SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log
2025-08-14T21:28:29.5297563Z ++ SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log
2025-08-14T21:28:29.5297843Z ++ export RUST_LOG=sccache::server=error
2025-08-14T21:28:29.5298047Z ++ RUST_LOG=sccache::server=error
2025-08-14T21:28:29.5298226Z ++ sccache --zero-stats
2025-08-14T21:28:29.6815784Z Statistics zeroed.
2025-08-14T21:28:29.6821122Z ++ which ccache
2025-08-14T21:28:29.6840457Z + [[ linux-jammy-py3.9-gcc11-build != *rocm* ]]
2025-08-14T21:28:29.6840742Z + [[ linux-jammy-py3.9-gcc11-build != *s390x* ]]
2025-08-14T21:28:29.6841014Z + [[ -d /var/lib/jenkins/workspace ]]
2025-08-14T21:28:29.6842971Z ++ stat -c %u /var/lib/jenkins/workspace
2025-08-14T21:28:29.6852055Z + WORKSPACE_ORIGINAL_OWNER_ID=1000
2025-08-14T21:28:29.6852282Z + trap_add cleanup_workspace EXIT
2025-08-14T21:28:29.6852518Z + trap_add_cmd=cleanup_workspace
2025-08-14T21:28:29.6852726Z + shift
2025-08-14T21:28:29.6852894Z + for trap_add_name in "$@"
2025-08-14T21:28:29.6858485Z +++ trap -p EXIT
2025-08-14T21:28:29.6860550Z ++ eval 'extract_trap_cmd trap -- '\''
2025-08-14T21:28:29.6860781Z sccache_epilogue'\'' EXIT'
2025-08-14T21:28:29.6860992Z +++ extract_trap_cmd trap -- '
2025-08-14T21:28:29.6861200Z sccache_epilogue' EXIT
2025-08-14T21:28:29.6861385Z +++ printf '%s\n' '
2025-08-14T21:28:29.6861558Z sccache_epilogue'
2025-08-14T21:28:29.6861756Z ++ printf '%s\n' cleanup_workspace
2025-08-14T21:28:29.6862783Z + trap -- '
2025-08-14T21:28:29.6862950Z sccache_epilogue
2025-08-14T21:28:29.6863129Z cleanup_workspace' EXIT
2025-08-14T21:28:29.6863358Z + sudo chown -R jenkins /var/lib/jenkins/workspace
2025-08-14T21:28:30.0875056Z + git config --global --add safe.directory /var/lib/jenkins/workspace
2025-08-14T21:28:30.0882713Z + echo 'Environment variables:'
2025-08-14T21:28:30.0882914Z Environment variables:
2025-08-14T21:28:30.0883082Z + env
2025-08-14T21:28:30.0891226Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-08-14T21:28:30.0891646Z CONTINUE_THROUGH_ERROR=True
2025-08-14T21:28:30.0891884Z BUILD_ENVIRONMENT=linux-jammy-py3.9-gcc11-build
2025-08-14T21:28:30.0892108Z HOSTNAME=3d5faa61ab79
2025-08-14T21:28:30.0892475Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_502383f5-44bb-4cdd-ad21-58cad5ff85f5
2025-08-14T21:28:30.0892857Z GITHUB_ACTION=__run_2
2025-08-14T21:28:30.0893331Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0
2025-08-14T21:28:30.0893537Z GITHUB_RUN_NUMBER=147536
2025-08-14T21:28:30.0893757Z TEST_CONFIG=inductor_torchbench_cpu_smoketest_perf
2025-08-14T21:28:30.0894011Z GITHUB_REPOSITORY_OWNER_ID=21003710
2025-08-14T21:28:30.0894220Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all
2025-08-14T21:28:30.0894428Z SCCACHE_IDLE_TIMEOUT=0
2025-08-14T21:28:30.0894791Z SCRIBE_GRAPHQL_ACCESS_TOKEN=***
2025-08-14T21:28:30.0894990Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot
2025-08-14T21:28:30.0895200Z GITHUB_REF_TYPE=branch
2025-08-14T21:28:30.0895378Z TORCH_CUDA_ARCH_LIST=Maxwell
2025-08-14T21:28:30.0895594Z BASE_SHA=1fc683cf17c8c673044538d10266c00f92987be2
2025-08-14T21:28:30.0895800Z XLA_CUDA=
2025-08-14T21:28:30.0895961Z NCCL_LIB_DIR=/usr/local/cuda/lib64/
2025-08-14T21:28:30.0896222Z HUGGING_FACE_HUB_TOKEN=***
2025-08-14T21:28:30.0896470Z ***
2025-08-14T21:28:30.0896616Z GITHUB_REPOSITORY_ID=65600975
2025-08-14T21:28:30.0896798Z GITHUB_ACTIONS=true
2025-08-14T21:28:30.0897001Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log
2025-08-14T21:28:30.0897235Z SHA1=1fc683cf17c8c673044538d10266c00f92987be2
2025-08-14T21:28:30.0897465Z GITHUB_SHA=1fc683cf17c8c673044538d10266c00f92987be2
2025-08-14T21:28:30.0897892Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor.yml@refs/heads/main
2025-08-14T21:28:30.0898176Z UCC_HOME=/usr
2025-08-14T21:28:30.0898339Z VERBOSE_TEST_LOGS=False
2025-08-14T21:28:30.0898516Z GITHUB_REF=refs/heads/main
2025-08-14T21:28:30.0898683Z SHARD_NUMBER=1
2025-08-14T21:28:30.0898845Z GITHUB_REF_PROTECTED=true
2025-08-14T21:28:30.0899020Z HOME=/var/lib/jenkins
2025-08-14T21:28:30.0899204Z GITHUB_API_URL=https://api.github.com
2025-08-14T21:28:30.0899417Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0
2025-08-14T21:28:30.0899611Z UCX_COMMIT=
2025-08-14T21:28:30.0899749Z USE_SYSTEM_NCCL=1
2025-08-14T21:28:30.0899913Z NUM_TEST_SHARDS=1
2025-08-14T21:28:30.0900062Z UCX_HOME=/usr
2025-08-14T21:28:30.0900431Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_502383f5-44bb-4cdd-ad21-58cad5ff85f5
2025-08-14T21:28:30.0900995Z JOB_NAME=linux-jammy-cpu-py3.9-gcc11-inductor / test (inductor_torchbench_cpu_smoketest_perf, 1, 1, linux.24xl.spr-metal)
2025-08-14T21:28:30.0901547Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_502383f5-44bb-4cdd-ad21-58cad5ff85f5
2025-08-14T21:28:30.0902015Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json
2025-08-14T21:28:30.0902314Z GITHUB_EVENT_NAME=push
2025-08-14T21:28:30.0902475Z DASHBOARD_TAG=
2025-08-14T21:28:30.0902635Z GITHUB_RUN_ID=16976255153
2025-08-14T21:28:30.0902811Z INSTALLED_OPENBLAS=
2025-08-14T21:28:30.0903176Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_502383f5-44bb-4cdd-ad21-58cad5ff85f5
2025-08-14T21:28:30.0903568Z GITHUB_ACTOR=pytorchmergebot
2025-08-14T21:28:30.0903749Z PR_NUMBER=
2025-08-14T21:28:30.0903894Z DESIRED_CUDA=
2025-08-14T21:28:30.0904040Z GITHUB_RUN_ATTEMPT=1
2025-08-14T21:28:30.0904218Z ANACONDA_PYTHON_VERSION=3.9
2025-08-14T21:28:30.0904435Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql
2025-08-14T21:28:30.0904651Z TERM=vt100
2025-08-14T21:28:30.0904810Z INSTALLED_VISION=yes
2025-08-14T21:28:30.0904973Z BRANCH=main
2025-08-14T21:28:30.0905119Z SCCACHE_REGION=us-east-1
2025-08-14T21:28:30.0905301Z OPENSSL_ROOT_DIR=/opt/openssl
2025-08-14T21:28:30.0905490Z CUDA_PATH=/usr/local/cuda
2025-08-14T21:28:30.0905798Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux
2025-08-14T21:28:30.0906145Z GITHUB_SERVER_URL=https://github.com
2025-08-14T21:28:30.0906339Z UCC_COMMIT=
2025-08-14T21:28:30.0906482Z REENABLED_ISSUES=
2025-08-14T21:28:30.0906626Z DOCS=yes
2025-08-14T21:28:30.0906762Z SHLVL=1
2025-08-14T21:28:30.0906894Z MAX_JOBS=94
2025-08-14T21:28:30.0907032Z GITHUB_ACTOR_ID=97764156
2025-08-14T21:28:30.0907251Z GITHUB_WORKFLOW_SHA=1fc683cf17c8c673044538d10266c00f92987be2
2025-08-14T21:28:30.0907544Z GITHUB_REF_NAME=main
2025-08-14T21:28:30.0907787Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla
2025-08-14T21:28:30.0908049Z GITHUB_JOB=test
2025-08-14T21:28:30.0908209Z NO_TEST_TIMEOUT=False
2025-08-14T21:28:30.0908363Z TD_DISTRIBUTED=False
2025-08-14T21:28:30.0908538Z GITHUB_REPOSITORY=pytorch/pytorch
2025-08-14T21:28:30.0908731Z GITHUB_RETENTION_DAYS=90
2025-08-14T21:28:30.0908896Z OPENSSL_DIR=/opt/openssl
2025-08-14T21:28:30.0909070Z GITHUB_ACTION_REPOSITORY=
2025-08-14T21:28:30.0909536Z PATH=/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.9/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
2025-08-14T21:28:30.0909984Z GITHUB_BASE_REF=
2025-08-14T21:28:30.0910135Z INSTALLED_ACL=
2025-08-14T21:28:30.0910445Z ARTIFACTS_FILE_SUFFIX=test-inductor_torchbench_cpu_smoketest_perf-1-1-linux.24xl.spr-metal_48128039130
2025-08-14T21:28:30.0910780Z CI=true
2025-08-14T21:28:30.0910924Z GITHUB_REPOSITORY_OWNER=pytorch
2025-08-14T21:28:30.0911161Z RUST_LOG=sccache::server=error
2025-08-14T21:28:30.0911345Z JOB_ID=48128039130
2025-08-14T21:28:30.0911493Z GITHUB_HEAD_REF=
2025-08-14T21:28:30.0911651Z GITHUB_ACTION_REF=
2025-08-14T21:28:30.0911898Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2
2025-08-14T21:28:30.0912111Z TEST_SHOWLOCALS=False
2025-08-14T21:28:30.0912286Z GITHUB_WORKFLOW=inductor
2025-08-14T21:28:30.0912468Z DEBIAN_FRONTEND=noninteractive
2025-08-14T21:28:30.0912825Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_502383f5-44bb-4cdd-ad21-58cad5ff85f5
2025-08-14T21:28:30.0913186Z NO_TD=False
2025-08-14T21:28:30.0913343Z SKIP_SCCACHE_INITIALIZATION=1
2025-08-14T21:28:30.0913545Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/
2025-08-14T21:28:30.0913736Z _=/usr/bin/env
2025-08-14T21:28:30.0913945Z ++ python -c 'import site; print(site.getsitepackages()[0])'
2025-08-14T21:28:30.1143805Z + TORCH_INSTALL_DIR=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch
2025-08-14T21:28:30.1144238Z + TORCH_BIN_DIR=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/bin
2025-08-14T21:28:30.1144574Z + TORCH_LIB_DIR=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/lib
2025-08-14T21:28:30.1144932Z + TORCH_TEST_DIR=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/test
2025-08-14T21:28:30.1145206Z + BUILD_DIR=build
2025-08-14T21:28:30.1145380Z + BUILD_RENAMED_DIR=build_renamed
2025-08-14T21:28:30.1145577Z + BUILD_BIN_DIR=build/bin
2025-08-14T21:28:30.1145750Z + SHARD_NUMBER=1
2025-08-14T21:28:30.1145899Z + NUM_TEST_SHARDS=1
2025-08-14T21:28:30.1146079Z + export TORCH_SERIALIZATION_DEBUG=1
2025-08-14T21:28:30.1146285Z + TORCH_SERIALIZATION_DEBUG=1
2025-08-14T21:28:30.1146458Z + export VALGRIND=ON
2025-08-14T21:28:30.1146620Z + VALGRIND=ON
2025-08-14T21:28:30.1146808Z + [[ linux-jammy-py3.9-gcc11-build == *clang9* ]]
2025-08-14T21:28:30.1147056Z + [[ linux-jammy-py3.9-gcc11-build == *xpu* ]]
2025-08-14T21:28:30.1147287Z + [[ linux-jammy-py3.9-gcc11-build == *s390x* ]]
2025-08-14T21:28:30.1147490Z + [[ 0 == \1 ]]
2025-08-14T21:28:30.1147640Z + [[ True == \1 ]]
2025-08-14T21:28:30.1147809Z + [[ linux-jammy-py3.9-gcc11-build != *bazel* ]]
2025-08-14T21:28:30.1149141Z ++ realpath build/custom_test_artifacts
2025-08-14T21:28:30.1149522Z + CUSTOM_TEST_ARTIFACT_BUILD_DIR=/var/lib/jenkins/workspace/build/custom_test_artifacts
2025-08-14T21:28:30.1149853Z + [[ -n '' ]]
2025-08-14T21:28:30.1150028Z + echo 'Environment variables'
2025-08-14T21:28:30.1150270Z Environment variables
2025-08-14T21:28:30.1150745Z + env
2025-08-14T21:28:30.1171846Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-08-14T21:28:30.1172142Z CONTINUE_THROUGH_ERROR=True
2025-08-14T21:28:30.1172368Z BUILD_ENVIRONMENT=linux-jammy-py3.9-gcc11-build
2025-08-14T21:28:30.1172597Z HOSTNAME=3d5faa61ab79
2025-08-14T21:28:30.1172961Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_502383f5-44bb-4cdd-ad21-58cad5ff85f5
2025-08-14T21:28:30.1173335Z GITHUB_ACTION=__run_2
2025-08-14T21:28:30.1173732Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0
2025-08-14T21:28:30.1173946Z GITHUB_RUN_NUMBER=147536
2025-08-14T21:28:30.1174150Z TEST_CONFIG=inductor_torchbench_cpu_smoketest_perf
2025-08-14T21:28:30.1174440Z GITHUB_REPOSITORY_OWNER_ID=21003710
2025-08-14T21:28:30.1174662Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all
2025-08-14T21:28:30.1174868Z SCCACHE_IDLE_TIMEOUT=0
2025-08-14T21:28:30.1175221Z SCRIBE_GRAPHQL_ACCESS_TOKEN=***
2025-08-14T21:28:30.1175431Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot
2025-08-14T21:28:30.1175642Z GITHUB_REF_TYPE=branch
2025-08-14T21:28:30.1175811Z TORCH_CUDA_ARCH_LIST=Maxwell
2025-08-14T21:28:30.1176030Z BASE_SHA=1fc683cf17c8c673044538d10266c00f92987be2
2025-08-14T21:28:30.1176249Z XLA_CUDA=
2025-08-14T21:28:30.1176404Z NCCL_LIB_DIR=/usr/local/cuda/lib64/
2025-08-14T21:28:30.1176668Z HUGGING_FACE_HUB_TOKEN=***
2025-08-14T21:28:30.1176889Z ***
2025-08-14T21:28:30.1179587Z GITHUB_REPOSITORY_ID=65600975
2025-08-14T21:28:30.1179770Z GITHUB_ACTIONS=true
2025-08-14T21:28:30.1179984Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log
2025-08-14T21:28:30.1180234Z SHA1=1fc683cf17c8c673044538d10266c00f92987be2
2025-08-14T21:28:30.1180472Z GITHUB_SHA=1fc683cf17c8c673044538d10266c00f92987be2
2025-08-14T21:28:30.1180869Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor.yml@refs/heads/main
2025-08-14T21:28:30.1181159Z UCC_HOME=/usr
2025-08-14T21:28:30.1181324Z TORCH_SERIALIZATION_DEBUG=1
2025-08-14T21:28:30.1181498Z VERBOSE_TEST_LOGS=False
2025-08-14T21:28:30.1181676Z GITHUB_REF=refs/heads/main
2025-08-14T21:28:30.1181913Z SHARD_NUMBER=1
2025-08-14T21:28:30.1182072Z GITHUB_REF_PROTECTED=true
2025-08-14T21:28:30.1182236Z HOME=/var/lib/jenkins
2025-08-14T21:28:30.1182423Z GITHUB_API_URL=https://api.github.com
2025-08-14T21:28:30.1182639Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0
2025-08-14T21:28:30.1182819Z UCX_COMMIT=
2025-08-14T21:28:30.1182965Z USE_SYSTEM_NCCL=1
2025-08-14T21:28:30.1183119Z NUM_TEST_SHARDS=1
2025-08-14T21:28:30.1183264Z UCX_HOME=/usr
2025-08-14T21:28:30.1183607Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_502383f5-44bb-4cdd-ad21-58cad5ff85f5
2025-08-14T21:28:30.1184172Z JOB_NAME=linux-jammy-cpu-py3.9-gcc11-inductor / test (inductor_torchbench_cpu_smoketest_perf, 1, 1, linux.24xl.spr-metal)
2025-08-14T21:28:30.1184724Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_502383f5-44bb-4cdd-ad21-58cad5ff85f5
2025-08-14T21:28:30.1185182Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json
2025-08-14T21:28:30.1185475Z GITHUB_EVENT_NAME=push
2025-08-14T21:28:30.1185643Z DASHBOARD_TAG=
2025-08-14T21:28:30.1185796Z GITHUB_RUN_ID=16976255153
2025-08-14T21:28:30.1185973Z INSTALLED_OPENBLAS=
2025-08-14T21:28:30.1186356Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_502383f5-44bb-4cdd-ad21-58cad5ff85f5
2025-08-14T21:28:30.1186750Z GITHUB_ACTOR=pytorchmergebot
2025-08-14T21:28:30.1186920Z PR_NUMBER=
2025-08-14T21:28:30.1187092Z DESIRED_CUDA=
2025-08-14T21:28:30.1187249Z GITHUB_RUN_ATTEMPT=1
2025-08-14T21:28:30.1187404Z VALGRIND=ON
2025-08-14T21:28:30.1187560Z ANACONDA_PYTHON_VERSION=3.9
2025-08-14T21:28:30.1187776Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql
2025-08-14T21:28:30.1187988Z TERM=vt100
2025-08-14T21:28:30.1188139Z INSTALLED_VISION=yes
2025-08-14T21:28:30.1188300Z BRANCH=main
2025-08-14T21:28:30.1188446Z SCCACHE_REGION=us-east-1
2025-08-14T21:28:30.1188633Z OPENSSL_ROOT_DIR=/opt/openssl
2025-08-14T21:28:30.1188823Z CUDA_PATH=/usr/local/cuda
2025-08-14T21:28:30.1189127Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux
2025-08-14T21:28:30.1189477Z GITHUB_SERVER_URL=https://github.com
2025-08-14T21:28:30.1189674Z UCC_COMMIT=
2025-08-14T21:28:30.1189809Z REENABLED_ISSUES=
2025-08-14T21:28:30.1189962Z DOCS=yes
2025-08-14T21:28:30.1190102Z SHLVL=1
2025-08-14T21:28:30.1190234Z MAX_JOBS=94
2025-08-14T21:28:30.1190386Z GITHUB_ACTOR_ID=97764156
2025-08-14T21:28:30.1190653Z GITHUB_WORKFLOW_SHA=1fc683cf17c8c673044538d10266c00f92987be2
2025-08-14T21:28:30.1190885Z GITHUB_REF_NAME=main
2025-08-14T21:28:30.1191136Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla
2025-08-14T21:28:30.1191402Z GITHUB_JOB=test
2025-08-14T21:28:30.1191558Z NO_TEST_TIMEOUT=False
2025-08-14T21:28:30.1191713Z TD_DISTRIBUTED=False
2025-08-14T21:28:30.1191886Z GITHUB_REPOSITORY=pytorch/pytorch
2025-08-14T21:28:30.1192081Z GITHUB_RETENTION_DAYS=90
2025-08-14T21:28:30.1192246Z OPENSSL_DIR=/opt/openssl
2025-08-14T21:28:30.1192420Z GITHUB_ACTION_REPOSITORY=
2025-08-14T21:28:30.1192886Z PATH=/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.9/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
2025-08-14T21:28:30.1193322Z GITHUB_BASE_REF=
2025-08-14T21:28:30.1193478Z INSTALLED_ACL=
2025-08-14T21:28:30.1193780Z ARTIFACTS_FILE_SUFFIX=test-inductor_torchbench_cpu_smoketest_perf-1-1-linux.24xl.spr-metal_48128039130
2025-08-14T21:28:30.1194106Z CI=true
2025-08-14T21:28:30.1194254Z GITHUB_REPOSITORY_OWNER=pytorch
2025-08-14T21:28:30.1194473Z RUST_LOG=sccache::server=error
2025-08-14T21:28:30.1194652Z JOB_ID=48128039130
2025-08-14T21:28:30.1194837Z GITHUB_HEAD_REF=
2025-08-14T21:28:30.1194990Z GITHUB_ACTION_REF=
2025-08-14T21:28:30.1195182Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2
2025-08-14T21:28:30.1195399Z TEST_SHOWLOCALS=False
2025-08-14T21:28:30.1195569Z GITHUB_WORKFLOW=inductor
2025-08-14T21:28:30.1195744Z DEBIAN_FRONTEND=noninteractive
2025-08-14T21:28:30.1196106Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_502383f5-44bb-4cdd-ad21-58cad5ff85f5
2025-08-14T21:28:30.1196478Z NO_TD=False
2025-08-14T21:28:30.1196641Z SKIP_SCCACHE_INITIALIZATION=1
2025-08-14T21:28:30.1196834Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/
2025-08-14T21:28:30.1197032Z _=/usr/bin/env
2025-08-14T21:28:30.1197190Z + echo 'Testing pytorch'
2025-08-14T21:28:30.1197351Z Testing pytorch
2025-08-14T21:28:30.1197514Z + export LANG=C.UTF-8
2025-08-14T21:28:30.1197678Z + LANG=C.UTF-8
2025-08-14T21:28:30.1197828Z + PR_NUMBER=
2025-08-14T21:28:30.1198043Z + [[ inductor_torchbench_cpu_smoketest_perf == \d\e\f\a\u\l\t ]]
2025-08-14T21:28:30.1198359Z + [[ inductor_torchbench_cpu_smoketest_perf == \d\i\s\t\r\i\b\u\t\e\d ]]
2025-08-14T21:28:30.1198656Z + [[ inductor_torchbench_cpu_smoketest_perf == \s\l\o\w ]]
2025-08-14T21:28:30.1198922Z + [[ linux-jammy-py3.9-gcc11-build == *slow-gradcheck* ]]
2025-08-14T21:28:30.1199180Z + [[ linux-jammy-py3.9-gcc11-build == *cuda* ]]
2025-08-14T21:28:30.1199414Z + [[ linux-jammy-py3.9-gcc11-build == *rocm* ]]
2025-08-14T21:28:30.1199634Z + [[ linux-jammy-py3.9-gcc11-build == *xpu* ]]
2025-08-14T21:28:30.1199888Z + [[ inductor_torchbench_cpu_smoketest_perf == *crossref* ]]
2025-08-14T21:28:30.1200137Z + [[ linux-jammy-py3.9-gcc11-build == *rocm* ]]
2025-08-14T21:28:30.1200363Z + [[ linux-jammy-py3.9-gcc11-build == *xpu* ]]
2025-08-14T21:28:30.1200589Z + [[ linux-jammy-py3.9-gcc11-build != *-bazel-* ]]
2025-08-14T21:28:30.1200814Z + pip_install ninja==1.10.2
2025-08-14T21:28:30.1201053Z + pip_install_pkg='python3 -m pip install --progress-bar off'
2025-08-14T21:28:30.1201334Z + python3 -m pip install --progress-bar off ninja==1.10.2
2025-08-14T21:28:30.4141537Z Collecting ninja==1.10.2
2025-08-14T21:28:30.4215858Z   Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl.metadata (5.0 kB)
2025-08-14T21:28:30.4286585Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl (108 kB)
2025-08-14T21:28:31.0948719Z Installing collected packages: ninja
2025-08-14T21:28:31.0948977Z   Attempting uninstall: ninja
2025-08-14T21:28:31.0949299Z     Found existing installation: ninja 1.11.1.3
2025-08-14T21:28:31.0964591Z     Uninstalling ninja-1.11.1.3:
2025-08-14T21:28:31.1006478Z       Successfully uninstalled ninja-1.11.1.3
2025-08-14T21:28:31.1380858Z Successfully installed ninja-1.10.2
2025-08-14T21:28:31.2132531Z + export PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.9/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
2025-08-14T21:28:31.2133691Z + PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.9/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
2025-08-14T21:28:31.2134244Z + [[ linux-jammy-py3.9-gcc11-build == *aarch64* ]]
2025-08-14T21:28:31.2134501Z + [[ linux-jammy-py3.9-gcc11-build == *asan* ]]
2025-08-14T21:28:31.2134737Z + [[ linux-jammy-py3.9-gcc11-build == *-debug* ]]
2025-08-14T21:28:31.2134977Z + [[ linux-jammy-py3.9-gcc11-build != *-bazel-* ]]
2025-08-14T21:28:31.2135294Z + echo 'We are not in debug mode: linux-jammy-py3.9-gcc11-build. Expect the assertion to pass'
2025-08-14T21:28:31.2135673Z We are not in debug mode: linux-jammy-py3.9-gcc11-build. Expect the assertion to pass
2025-08-14T21:28:31.2135939Z + cd test
2025-08-14T21:28:31.2136152Z + python -c 'import torch; torch._C._crash_if_debug_asserts_fail(424242)'
2025-08-14T21:28:32.2344264Z + [[ inductor_torchbench_cpu_smoketest_perf == \n\o\g\p\u\_\N\O\_\A\V\X\2 ]]
2025-08-14T21:28:32.2344729Z + [[ inductor_torchbench_cpu_smoketest_perf == \n\o\g\p\u\_\A\V\X\5\1\2 ]]
2025-08-14T21:28:32.2345452Z + [[ inductor_torchbench_cpu_smoketest_perf == \l\e\g\a\c\y\_\n\v\i\d\i\a\_\d\r\i\v\e\r ]]
2025-08-14T21:28:32.2345812Z + DYNAMO_BENCHMARK_FLAGS=()
2025-08-14T21:28:32.2346103Z + [[ inductor_torchbench_cpu_smoketest_perf == *pr_time_benchmarks* ]]
2025-08-14T21:28:32.2346457Z + [[ inductor_torchbench_cpu_smoketest_perf == *dynamo_eager* ]]
2025-08-14T21:28:32.2346782Z + [[ inductor_torchbench_cpu_smoketest_perf == *aot_eager* ]]
2025-08-14T21:28:32.2347122Z + [[ inductor_torchbench_cpu_smoketest_perf == *aot_inductor* ]]
2025-08-14T21:28:32.2347481Z + [[ inductor_torchbench_cpu_smoketest_perf == *max_autotune_inductor* ]]
2025-08-14T21:28:32.2347831Z + [[ inductor_torchbench_cpu_smoketest_perf == *inductor* ]]
2025-08-14T21:28:32.2348159Z + [[ inductor_torchbench_cpu_smoketest_perf != *perf* ]]
2025-08-14T21:28:32.2348455Z + [[ inductor_torchbench_cpu_smoketest_perf == *dynamic* ]]
2025-08-14T21:28:32.2348762Z + [[ inductor_torchbench_cpu_smoketest_perf == *cpu* ]]
2025-08-14T21:28:32.2349030Z + DYNAMO_BENCHMARK_FLAGS+=(--device cpu)
2025-08-14T21:28:32.2374158Z + [[ linux-jammy-py3.9-gcc11-build == *libtorch* ]]
2025-08-14T21:28:32.2374499Z + [[ linux-jammy-py3.9-gcc11-build == *-bazel-* ]]
2025-08-14T21:28:32.2376623Z + cd test
2025-08-14T21:28:32.2377243Z + python -c 'import torch; print(torch.__config__.show())'
2025-08-14T21:28:33.0901393Z PyTorch built with:
2025-08-14T21:28:33.0901670Z   - GCC 11.4
2025-08-14T21:28:33.0901845Z   - C++ Version: 201703
2025-08-14T21:28:33.0902252Z   - Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications
2025-08-14T21:28:33.0902735Z   - Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d)
2025-08-14T21:28:33.0903073Z   - OpenMP 201511 (a.k.a. OpenMP 4.5)
2025-08-14T21:28:33.0903330Z   - LAPACK is enabled (usually provided by MKL)
2025-08-14T21:28:33.0903564Z   - NNPACK is enabled
2025-08-14T21:28:33.0903769Z   - CPU capability usage: AVX512
2025-08-14T21:28:33.0906907Z   - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, COMMIT_SHA=1fc683cf17c8c673044538d10266c00f92987be2, 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=2.9.0, 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, 
2025-08-14T21:28:33.0909560Z 
2025-08-14T21:28:33.2585824Z + cd test
2025-08-14T21:28:33.2586252Z + python -c 'import torch; print(torch.__config__.parallel_info())'
2025-08-14T21:28:34.1031241Z ATen/Parallel:
2025-08-14T21:28:34.1031584Z 	at::get_num_threads() : 48
2025-08-14T21:28:34.1031824Z 	at::get_num_interop_threads() : 48
2025-08-14T21:28:34.1032053Z OpenMP 201511 (a.k.a. OpenMP 4.5)
2025-08-14T21:28:34.1032277Z 	omp_get_max_threads() : 48
2025-08-14T21:28:34.1032654Z Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications
2025-08-14T21:28:34.1033075Z 	mkl_get_max_threads() : 48
2025-08-14T21:28:34.1033314Z Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d)
2025-08-14T21:28:34.1033587Z std::thread::hardware_concurrency() : 96
2025-08-14T21:28:34.1034090Z Environment variables:
2025-08-14T21:28:34.1034260Z 	OMP_NUM_THREADS : [not set]
2025-08-14T21:28:34.1034440Z 	MKL_NUM_THREADS : [not set]
2025-08-14T21:28:34.1034621Z ATen parallel backend: OpenMP
2025-08-14T21:28:34.1034734Z 
2025-08-14T21:28:34.2698848Z + [[ inductor_torchbench_cpu_smoketest_perf == *numpy_2* ]]
2025-08-14T21:28:34.2699169Z + [[ linux-jammy-py3.9-gcc11-build == *aarch64* ]]
2025-08-14T21:28:34.2699457Z + [[ inductor_torchbench_cpu_smoketest_perf == *backward* ]]
2025-08-14T21:28:34.2699736Z + [[ inductor_torchbench_cpu_smoketest_perf == *xla* ]]
2025-08-14T21:28:34.2700025Z + [[ inductor_torchbench_cpu_smoketest_perf == *executorch* ]]
2025-08-14T21:28:34.2700337Z + [[ inductor_torchbench_cpu_smoketest_perf == \j\i\t\_\l\e\g\a\c\y ]]
2025-08-14T21:28:34.2700641Z + [[ linux-jammy-py3.9-gcc11-build == *libtorch* ]]
2025-08-14T21:28:34.2700915Z + [[ inductor_torchbench_cpu_smoketest_perf == distributed ]]
2025-08-14T21:28:34.2701221Z + [[ inductor_torchbench_cpu_smoketest_perf == *operator_benchmark* ]]
2025-08-14T21:28:34.2701559Z + [[ inductor_torchbench_cpu_smoketest_perf == *inductor_distributed* ]]
2025-08-14T21:28:34.2701884Z + [[ inductor_torchbench_cpu_smoketest_perf == *inductor-halide* ]]
2025-08-14T21:28:34.2702209Z + [[ inductor_torchbench_cpu_smoketest_perf == *inductor-triton-cpu* ]]
2025-08-14T21:28:34.2702567Z + [[ inductor_torchbench_cpu_smoketest_perf == *inductor-micro-benchmark* ]]
2025-08-14T21:28:34.2702891Z + [[ inductor_torchbench_cpu_smoketest_perf == *huggingface* ]]
2025-08-14T21:28:34.2703171Z + [[ inductor_torchbench_cpu_smoketest_perf == *timm* ]]
2025-08-14T21:28:34.2703442Z + [[ inductor_torchbench_cpu_smoketest_perf == cachebench ]]
2025-08-14T21:28:34.2703736Z + [[ inductor_torchbench_cpu_smoketest_perf == verify_cachebench ]]
2025-08-14T21:28:34.2704030Z + [[ inductor_torchbench_cpu_smoketest_perf == *torchbench* ]]
2025-08-14T21:28:34.2704269Z + install_torchaudio
2025-08-14T21:28:34.2704440Z + local commit
2025-08-14T21:28:34.2704607Z ++ get_pinned_commit audio
2025-08-14T21:28:34.2704803Z ++ cat .github/ci_commit_pins/audio.txt
2025-08-14T21:28:34.3178506Z + commit=bdb88e1d66f272cad72156c90ac8428ca61a601c
2025-08-14T21:28:34.3179074Z + pip_build_and_install git+https://github.com/pytorch/audio.git@bdb88e1d66f272cad72156c90ac8428ca61a601c dist/audio
2025-08-14T21:28:34.3179672Z + local build_target=git+https://github.com/pytorch/audio.git@bdb88e1d66f272cad72156c90ac8428ca61a601c
2025-08-14T21:28:34.3180060Z + local wheel_dir=dist/audio
2025-08-14T21:28:34.3180273Z + local found_whl=0
2025-08-14T21:28:34.3180462Z + for file in "${wheel_dir}"/*.whl
2025-08-14T21:28:34.3180805Z + [[ -f dist/audio/torchaudio-2.8.0a0+bdb88e1-cp39-cp39-linux_x86_64.whl ]]
2025-08-14T21:28:34.3181126Z + found_whl=1
2025-08-14T21:28:34.3181289Z + break
2025-08-14T21:28:34.3181702Z + '[' 1 == 0 ']'
2025-08-14T21:28:34.3181909Z + for file in "${wheel_dir}"/*.whl
2025-08-14T21:28:34.3182239Z + pip_install_whl dist/audio/torchaudio-2.8.0a0+bdb88e1-cp39-cp39-linux_x86_64.whl
2025-08-14T21:28:34.3182691Z + args=('dist/audio/torchaudio-2.8.0a0+bdb88e1-cp39-cp39-linux_x86_64.whl')
2025-08-14T21:28:34.3183003Z + local args
2025-08-14T21:28:34.3183286Z + [[ dist/audio/torchaudio-2.8.0a0+bdb88e1-cp39-cp39-linux_x86_64.whl == *\ * ]]
2025-08-14T21:28:34.3183618Z + for path in "${args[@]}"
2025-08-14T21:28:34.3183943Z + echo 'Installing dist/audio/torchaudio-2.8.0a0+bdb88e1-cp39-cp39-linux_x86_64.whl'
2025-08-14T21:28:34.3184381Z Installing dist/audio/torchaudio-2.8.0a0+bdb88e1-cp39-cp39-linux_x86_64.whl
2025-08-14T21:28:34.3184857Z + python3 -mpip install --no-index --no-deps dist/audio/torchaudio-2.8.0a0+bdb88e1-cp39-cp39-linux_x86_64.whl
2025-08-14T21:28:34.5735148Z Processing ./dist/audio/torchaudio-2.8.0a0+bdb88e1-cp39-cp39-linux_x86_64.whl
2025-08-14T21:28:34.5788267Z Installing collected packages: torchaudio
2025-08-14T21:28:35.4011411Z Successfully installed torchaudio-2.8.0a0+bdb88e1
2025-08-14T21:28:35.4320168Z + install_torchvision
2025-08-14T21:28:35.4320797Z + local orig_preload
2025-08-14T21:28:35.4321001Z + local commit
2025-08-14T21:28:35.4321193Z ++ get_pinned_commit vision
2025-08-14T21:28:35.4321412Z ++ cat .github/ci_commit_pins/vision.txt
2025-08-14T21:28:35.4324375Z + commit=966da7e46f65d6d49df3e31214470a4fe5cc8e66
2025-08-14T21:28:35.4324624Z + orig_preload=
2025-08-14T21:28:35.4324810Z + '[' -n '' ']'
2025-08-14T21:28:35.4324993Z + [[ linux-jammy-py3.9-gcc11-build == *cuda* ]]
2025-08-14T21:28:35.4325415Z + pip_build_and_install git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 dist/vision
2025-08-14T21:28:35.4325909Z + local build_target=git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66
2025-08-14T21:28:35.4326243Z + local wheel_dir=dist/vision
2025-08-14T21:28:35.4326423Z + local found_whl=0
2025-08-14T21:28:35.4326623Z + for file in "${wheel_dir}"/*.whl
2025-08-14T21:28:35.4326913Z + [[ -f dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl ]]
2025-08-14T21:28:35.4327195Z + found_whl=1
2025-08-14T21:28:35.4327340Z + break
2025-08-14T21:28:35.4327470Z + '[' 1 == 0 ']'
2025-08-14T21:28:35.4327627Z + for file in "${wheel_dir}"/*.whl
2025-08-14T21:28:35.4327916Z + pip_install_whl dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl
2025-08-14T21:28:35.4328290Z + args=('dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl')
2025-08-14T21:28:35.4328561Z + local args
2025-08-14T21:28:35.4328806Z + [[ dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl == *\ * ]]
2025-08-14T21:28:35.4329089Z + for path in "${args[@]}"
2025-08-14T21:28:35.4329374Z + echo 'Installing dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl'
2025-08-14T21:28:35.4329758Z Installing dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl
2025-08-14T21:28:35.4330207Z + python3 -mpip install --no-index --no-deps dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl
2025-08-14T21:28:35.6787648Z Processing ./dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl
2025-08-14T21:28:35.6846637Z Installing collected packages: torchvision
2025-08-14T21:28:36.1335749Z Successfully installed torchvision-0.22.0a0+966da7e
2025-08-14T21:28:36.1664743Z + '[' -n '' ']'
2025-08-14T21:28:36.1665014Z + id=0
2025-08-14T21:28:36.1669175Z + pip_install opencv-python==4.8.0.74
2025-08-14T21:28:36.1669480Z + pip_install_pkg='python3 -m pip install --progress-bar off'
2025-08-14T21:28:36.1669874Z + python3 -m pip install --progress-bar off opencv-python==4.8.0.74
2025-08-14T21:28:36.5482491Z Collecting opencv-python==4.8.0.74
2025-08-14T21:28:36.5552781Z   Downloading opencv_python-4.8.0.74-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (19 kB)
2025-08-14T21:28:36.6495173Z Requirement already satisfied: numpy>=1.17.0 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from opencv-python==4.8.0.74) (1.22.4)
2025-08-14T21:28:36.6540011Z Downloading opencv_python-4.8.0.74-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (61.7 MB)
2025-08-14T21:28:37.8516182Z Installing collected packages: opencv-python
2025-08-14T21:28:37.8516470Z   Attempting uninstall: opencv-python
2025-08-14T21:28:37.8520201Z     Found existing installation: opencv-python 4.11.0.86
2025-08-14T21:28:37.8573022Z     Uninstalling opencv-python-4.11.0.86:
2025-08-14T21:28:37.9333093Z       Successfully uninstalled opencv-python-4.11.0.86
2025-08-14T21:28:38.6962901Z Successfully installed opencv-python-4.8.0.74
2025-08-14T21:28:38.7898591Z + [[ inductor_torchbench_cpu_smoketest_perf == *inductor_torchbench_smoketest_perf* ]]
2025-08-14T21:28:38.7899269Z + [[ inductor_torchbench_cpu_smoketest_perf == *inductor_torchbench_cpu_smoketest_perf* ]]
2025-08-14T21:28:38.7899592Z + PYTHONPATH=/torchbench
2025-08-14T21:28:38.7899792Z + test_inductor_torchbench_cpu_smoketest_perf
2025-08-14T21:28:38.7900022Z ++ pwd
2025-08-14T21:28:38.7900222Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports
2025-08-14T21:28:38.7900507Z + mkdir -p /var/lib/jenkins/workspace/test/test-reports
2025-08-14T21:28:38.7911405Z + test_inductor_set_cpu_affinity
2025-08-14T21:28:38.7914156Z ++ find /usr/lib -name libjemalloc.so.2
2025-08-14T21:28:38.8098820Z + JEMALLOC_LIB=/usr/lib/x86_64-linux-gnu/libjemalloc.so.2
2025-08-14T21:28:38.8099224Z + export LD_PRELOAD=/usr/lib/x86_64-linux-gnu/libjemalloc.so.2:
2025-08-14T21:28:38.8099538Z + LD_PRELOAD=/usr/lib/x86_64-linux-gnu/libjemalloc.so.2:
2025-08-14T21:28:38.8099932Z + export MALLOC_CONF=oversize_threshold:1,background_thread:true,metadata_thp:auto,dirty_decay_ms:-1,muzzy_decay_ms:-1
2025-08-14T21:28:38.8100417Z + MALLOC_CONF=oversize_threshold:1,background_thread:true,metadata_thp:auto,dirty_decay_ms:-1,muzzy_decay_ms:-1
2025-08-14T21:28:38.8100781Z + [[ inductor_torchbench_cpu_smoketest_perf != *aarch64* ]]
2025-08-14T21:28:38.8101891Z +++ which python
2025-08-14T21:28:38.8117465Z ++ dirname /opt/conda/envs/py_3.9/bin/python
2025-08-14T21:28:38.8144140Z + IOMP_LIB=/opt/conda/envs/py_3.9/bin/../lib/libiomp5.so
2025-08-14T21:28:38.8144557Z + export LD_PRELOAD=/opt/conda/envs/py_3.9/bin/../lib/libiomp5.so:/usr/lib/x86_64-linux-gnu/libjemalloc.so.2:
2025-08-14T21:28:38.8145000Z + LD_PRELOAD=/opt/conda/envs/py_3.9/bin/../lib/libiomp5.so:/usr/lib/x86_64-linux-gnu/libjemalloc.so.2:
2025-08-14T21:28:38.8145334Z + export KMP_AFFINITY=granularity=fine,compact,1,0
2025-08-14T21:28:38.8145568Z + KMP_AFFINITY=granularity=fine,compact,1,0
2025-08-14T21:28:38.8145770Z + export KMP_BLOCKTIME=1
2025-08-14T21:28:38.8145945Z + KMP_BLOCKTIME=1
2025-08-14T21:28:38.8150115Z ++ nproc
2025-08-14T21:28:38.8167916Z + cpus=96
2025-08-14T21:28:38.8174336Z ++ grep 'Thread(s) per core:'
2025-08-14T21:28:38.8174770Z ++ lscpu
2025-08-14T21:28:38.8176836Z ++ awk '{print $4}'
2025-08-14T21:28:38.8429290Z + thread_per_core=2
2025-08-14T21:28:38.8429509Z + cores=48
2025-08-14T21:28:38.8429738Z + [[ inductor_torchbench_cpu_smoketest_perf == *aarch64* ]]
2025-08-14T21:28:38.8429989Z + export OMP_NUM_THREADS=48
2025-08-14T21:28:38.8430171Z + OMP_NUM_THREADS=48
2025-08-14T21:28:38.8431961Z ++ python -c 'import os; print(min(os.sched_getaffinity(0)))'
2025-08-14T21:28:38.8659904Z + start_cpu=0
2025-08-14T21:28:38.8660292Z ++ python -c 'import os; print(max(os.sched_getaffinity(0)))'
2025-08-14T21:28:38.8871599Z + end_cpu=93
2025-08-14T21:28:38.8871820Z + export 'TASKSET=taskset -c 0-93'
2025-08-14T21:28:38.8872026Z + TASKSET='taskset -c 0-93'
2025-08-14T21:28:38.8872334Z + MODELS_SPEEDUP_TARGET=benchmarks/dynamo/expected_ci_speedup_inductor_torchbench_cpu.csv
2025-08-14T21:28:38.8874798Z + IFS=,
2025-08-14T21:28:38.8875045Z + read -r -a model_cfg
2025-08-14T21:28:38.8875285Z + grep -v '^ *#'
2025-08-14T21:28:38.8898877Z + local model_name=phlippe_densenet
2025-08-14T21:28:38.8899100Z + local data_type=float32
2025-08-14T21:28:38.8899299Z + local speedup_target=1.46474287
2025-08-14T21:28:38.8899755Z + local backend=inductor
2025-08-14T21:28:38.8899960Z + [[ default == \c\p\p ]]
2025-08-14T21:28:38.8900154Z + unset TORCHINDUCTOR_CPP_WRAPPER
2025-08-14T21:28:38.8900642Z + local output_name=/var/lib/jenkins/workspace/test/test-reports/inductor_inference_phlippe_densenet_inductor_float32_static_cpu_smoketest.csv
2025-08-14T21:28:38.8901083Z + [[ static == \d\y\n\a\m\i\c ]]
2025-08-14T21:28:38.8901847Z + 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
2025-08-14T21:28:41.0032782Z 
2025-08-14T21:28:41.2140046Z loading model: 0it [00:00, ?it/s]
2025-08-14T21:28:41.2140370Z loading model: 0it [00:00, ?it/s]
2025-08-14T21:28:41.2141796Z cpu  eval  phlippe_densenet                   
2025-08-14T21:28:47.8002175Z cudagraph partition due to non gpu ops
2025-08-14T21:28:47.8002546Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8002920Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8003587Z     return mod(*inputs)
2025-08-14T21:28:47.8003887Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 165, in forward
2025-08-14T21:28:47.8004195Z     x = self.input_net(x)
2025-08-14T21:28:47.8004312Z 
2025-08-14T21:28:47.8004412Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8004752Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8005191Z     return mod(*inputs)
2025-08-14T21:28:47.8005470Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 165, in forward
2025-08-14T21:28:47.8005768Z     x = self.input_net(x)
2025-08-14T21:28:47.8005868Z 
2025-08-14T21:28:47.8005971Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8006310Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8006612Z     return mod(*inputs)
2025-08-14T21:28:47.8006893Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8007176Z     x = self.blocks(x)
2025-08-14T21:28:47.8007448Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-14T21:28:47.8007737Z     out = self.block(x)
2025-08-14T21:28:47.8008027Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-14T21:28:47.8008301Z     out = self.net(x)
2025-08-14T21:28:47.8008405Z 
2025-08-14T21:28:47.8008501Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8008829Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8009118Z     return mod(*inputs)
2025-08-14T21:28:47.8009383Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8009669Z     x = self.blocks(x)
2025-08-14T21:28:47.8009939Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-14T21:28:47.8010221Z     out = self.block(x)
2025-08-14T21:28:47.8010483Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-14T21:28:47.8010769Z     out = self.net(x)
2025-08-14T21:28:47.8010859Z 
2025-08-14T21:28:47.8010952Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8011281Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8011587Z     return mod(*inputs)
2025-08-14T21:28:47.8011853Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8012128Z     x = self.blocks(x)
2025-08-14T21:28:47.8013404Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-14T21:28:47.8013724Z     out = self.block(x)
2025-08-14T21:28:47.8013983Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-14T21:28:47.8014277Z     out = self.net(x)
2025-08-14T21:28:47.8014370Z 
2025-08-14T21:28:47.8014472Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8014804Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8015095Z     return mod(*inputs)
2025-08-14T21:28:47.8015368Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8015656Z     x = self.blocks(x)
2025-08-14T21:28:47.8015905Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-14T21:28:47.8016185Z     out = self.block(x)
2025-08-14T21:28:47.8016446Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-14T21:28:47.8016730Z     out = self.net(x)
2025-08-14T21:28:47.8016819Z 
2025-08-14T21:28:47.8016898Z cudagraph partition due to non gpu ops
2025-08-14T21:28:47.8017180Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8017525Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8017822Z     return mod(*inputs)
2025-08-14T21:28:47.8018105Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8018400Z     x = self.blocks(x)
2025-08-14T21:28:47.8018665Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-14T21:28:47.8018963Z     out = self.block(x)
2025-08-14T21:28:47.8019236Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 33, in forward
2025-08-14T21:28:47.8019537Z     out = torch.cat([out, x], dim=1)
2025-08-14T21:28:47.8019665Z 
2025-08-14T21:28:47.8019777Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8020117Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8020428Z     return mod(*inputs)
2025-08-14T21:28:47.8020694Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8020988Z     x = self.blocks(x)
2025-08-14T21:28:47.8021257Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-14T21:28:47.8021548Z     out = self.block(x)
2025-08-14T21:28:47.8021808Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-14T21:28:47.8022098Z     out = self.net(x)
2025-08-14T21:28:47.8022193Z 
2025-08-14T21:28:47.8022301Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8022628Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8022939Z     return mod(*inputs)
2025-08-14T21:28:47.8023214Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8023508Z     x = self.blocks(x)
2025-08-14T21:28:47.8023772Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-14T21:28:47.8024060Z     out = self.block(x)
2025-08-14T21:28:47.8024330Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-14T21:28:47.8024613Z     out = self.net(x)
2025-08-14T21:28:47.8024714Z 
2025-08-14T21:28:47.8024810Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8025148Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8025449Z     return mod(*inputs)
2025-08-14T21:28:47.8025712Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8026003Z     x = self.blocks(x)
2025-08-14T21:28:47.8026312Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-14T21:28:47.8026593Z     out = self.block(x)
2025-08-14T21:28:47.8026864Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-14T21:28:47.8027152Z     out = self.net(x)
2025-08-14T21:28:47.8027243Z 
2025-08-14T21:28:47.8027348Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8027680Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8027984Z     return mod(*inputs)
2025-08-14T21:28:47.8028255Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8028540Z     x = self.blocks(x)
2025-08-14T21:28:47.8028810Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-14T21:28:47.8029098Z     out = self.block(x)
2025-08-14T21:28:47.8029359Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-14T21:28:47.8029653Z     out = self.net(x)
2025-08-14T21:28:47.8029755Z 
2025-08-14T21:28:47.8029834Z cudagraph partition due to non gpu ops
2025-08-14T21:28:47.8030117Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8030437Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8030730Z     return mod(*inputs)
2025-08-14T21:28:47.8030998Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8031278Z     x = self.blocks(x)
2025-08-14T21:28:47.8031541Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-14T21:28:47.8031828Z     out = self.block(x)
2025-08-14T21:28:47.8032086Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 33, in forward
2025-08-14T21:28:47.8032367Z     out = torch.cat([out, x], dim=1)
2025-08-14T21:28:47.8032499Z 
2025-08-14T21:28:47.8032596Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8032928Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8033220Z     return mod(*inputs)
2025-08-14T21:28:47.8033488Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8033773Z     x = self.blocks(x)
2025-08-14T21:28:47.8034037Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-14T21:28:47.8034312Z     out = self.block(x)
2025-08-14T21:28:47.8034570Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-14T21:28:47.8034852Z     out = self.net(x)
2025-08-14T21:28:47.8034940Z 
2025-08-14T21:28:47.8035061Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8035394Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8035686Z     return mod(*inputs)
2025-08-14T21:28:47.8035950Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8036231Z     x = self.blocks(x)
2025-08-14T21:28:47.8036492Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-14T21:28:47.8036773Z     out = self.block(x)
2025-08-14T21:28:47.8037025Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-14T21:28:47.8037303Z     out = self.net(x)
2025-08-14T21:28:47.8037390Z 
2025-08-14T21:28:47.8037492Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8037816Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8038099Z     return mod(*inputs)
2025-08-14T21:28:47.8038362Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8038681Z     x = self.blocks(x)
2025-08-14T21:28:47.8038939Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-14T21:28:47.8039231Z     out = self.block(x)
2025-08-14T21:28:47.8039495Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-14T21:28:47.8039771Z     out = self.net(x)
2025-08-14T21:28:47.8039870Z 
2025-08-14T21:28:47.8039964Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8040298Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8040594Z     return mod(*inputs)
2025-08-14T21:28:47.8040852Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8041138Z     x = self.blocks(x)
2025-08-14T21:28:47.8041403Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-14T21:28:47.8041678Z     out = self.block(x)
2025-08-14T21:28:47.8041944Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-14T21:28:47.8042233Z     out = self.net(x)
2025-08-14T21:28:47.8042353Z 
2025-08-14T21:28:47.8042433Z cudagraph partition due to non gpu ops
2025-08-14T21:28:47.8042646Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8042977Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8043275Z     return mod(*inputs)
2025-08-14T21:28:47.8043535Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8043822Z     x = self.blocks(x)
2025-08-14T21:28:47.8044084Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-14T21:28:47.8044369Z     out = self.block(x)
2025-08-14T21:28:47.8044622Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 33, in forward
2025-08-14T21:28:47.8044918Z     out = torch.cat([out, x], dim=1)
2025-08-14T21:28:47.8045038Z 
2025-08-14T21:28:47.8045142Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8045468Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8045766Z     return mod(*inputs)
2025-08-14T21:28:47.8046032Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8046319Z     x = self.blocks(x)
2025-08-14T21:28:47.8046575Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-14T21:28:47.8046857Z     out = self.block(x)
2025-08-14T21:28:47.8047119Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-14T21:28:47.8047395Z     out = self.net(x)
2025-08-14T21:28:47.8047493Z 
2025-08-14T21:28:47.8047583Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8047920Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8048219Z     return mod(*inputs)
2025-08-14T21:28:47.8048481Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8048768Z     x = self.blocks(x)
2025-08-14T21:28:47.8049027Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-14T21:28:47.8049303Z     out = self.block(x)
2025-08-14T21:28:47.8049562Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-14T21:28:47.8049842Z     out = self.net(x)
2025-08-14T21:28:47.8049932Z 
2025-08-14T21:28:47.8050025Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8050356Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8050652Z     return mod(*inputs)
2025-08-14T21:28:47.8050983Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8051267Z     x = self.blocks(x)
2025-08-14T21:28:47.8051527Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-14T21:28:47.8051812Z     out = self.block(x)
2025-08-14T21:28:47.8052061Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-14T21:28:47.8052345Z     out = self.net(x)
2025-08-14T21:28:47.8052433Z 
2025-08-14T21:28:47.8052534Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8052859Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8053144Z     return mod(*inputs)
2025-08-14T21:28:47.8053411Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8053699Z     x = self.blocks(x)
2025-08-14T21:28:47.8053956Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-14T21:28:47.8054242Z     out = self.block(x)
2025-08-14T21:28:47.8054499Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-14T21:28:47.8054818Z     out = self.net(x)
2025-08-14T21:28:47.8054906Z 
2025-08-14T21:28:47.8054981Z cudagraph partition due to non gpu ops
2025-08-14T21:28:47.8055203Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8055531Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8055816Z     return mod(*inputs)
2025-08-14T21:28:47.8056081Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8056368Z     x = self.blocks(x)
2025-08-14T21:28:47.8056618Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-14T21:28:47.8056900Z     out = self.block(x)
2025-08-14T21:28:47.8057164Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 33, in forward
2025-08-14T21:28:47.8057454Z     out = torch.cat([out, x], dim=1)
2025-08-14T21:28:47.8057572Z 
2025-08-14T21:28:47.8057665Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8057997Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8058293Z     return mod(*inputs)
2025-08-14T21:28:47.8058549Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8058834Z     x = self.blocks(x)
2025-08-14T21:28:47.8059095Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-14T21:28:47.8059377Z     out = self.block(x)
2025-08-14T21:28:47.8059631Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-14T21:28:47.8059919Z     out = self.net(x)
2025-08-14T21:28:47.8060009Z 
2025-08-14T21:28:47.8060112Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8060434Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8060728Z     return mod(*inputs)
2025-08-14T21:28:47.8060997Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8061283Z     x = self.blocks(x)
2025-08-14T21:28:47.8061537Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-14T21:28:47.8061816Z     out = self.block(x)
2025-08-14T21:28:47.8062078Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-14T21:28:47.8062352Z     out = self.net(x)
2025-08-14T21:28:47.8062450Z 
2025-08-14T21:28:47.8062541Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8062872Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8063169Z     return mod(*inputs)
2025-08-14T21:28:47.8063458Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8063748Z     x = self.blocks(x)
2025-08-14T21:28:47.8064011Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-14T21:28:47.8064292Z     out = self.block(x)
2025-08-14T21:28:47.8064558Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-14T21:28:47.8064842Z     out = self.net(x)
2025-08-14T21:28:47.8064932Z 
2025-08-14T21:28:47.8065023Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8065353Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8065651Z     return mod(*inputs)
2025-08-14T21:28:47.8065918Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8066195Z     x = self.blocks(x)
2025-08-14T21:28:47.8066463Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-14T21:28:47.8066747Z     out = self.block(x)
2025-08-14T21:28:47.8067000Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-14T21:28:47.8067317Z     out = self.net(x)
2025-08-14T21:28:47.8067414Z 
2025-08-14T21:28:47.8067490Z cudagraph partition due to non gpu ops
2025-08-14T21:28:47.8067715Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8068037Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8068331Z     return mod(*inputs)
2025-08-14T21:28:47.8068596Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8068873Z     x = self.blocks(x)
2025-08-14T21:28:47.8069137Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-14T21:28:47.8069423Z     out = self.block(x)
2025-08-14T21:28:47.8069780Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 33, in forward
2025-08-14T21:28:47.8070073Z     out = torch.cat([out, x], dim=1)
2025-08-14T21:28:47.8070204Z 
2025-08-14T21:28:47.8070299Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8070636Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8070932Z     return mod(*inputs)
2025-08-14T21:28:47.8071200Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8071493Z     x = self.blocks(x)
2025-08-14T21:28:47.8071757Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-14T21:28:47.8072037Z     out = self.block(x)
2025-08-14T21:28:47.8072302Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-14T21:28:47.8072589Z     out = self.net(x)
2025-08-14T21:28:47.8072679Z 
2025-08-14T21:28:47.8072775Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8073109Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8073411Z     return mod(*inputs)
2025-08-14T21:28:47.8073667Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8073956Z     x = self.blocks(x)
2025-08-14T21:28:47.8074216Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-14T21:28:47.8074500Z     out = self.block(x)
2025-08-14T21:28:47.8074754Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-14T21:28:47.8075039Z     out = self.net(x)
2025-08-14T21:28:47.8075127Z 
2025-08-14T21:28:47.8075226Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8075546Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8075911Z     return mod(*inputs)
2025-08-14T21:28:47.8076179Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8076469Z     x = self.blocks(x)
2025-08-14T21:28:47.8076724Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-14T21:28:47.8077005Z     out = self.block(x)
2025-08-14T21:28:47.8077264Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-14T21:28:47.8077539Z     out = self.net(x)
2025-08-14T21:28:47.8077638Z 
2025-08-14T21:28:47.8077731Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8078062Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8078360Z     return mod(*inputs)
2025-08-14T21:28:47.8078619Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8078908Z     x = self.blocks(x)
2025-08-14T21:28:47.8079174Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-14T21:28:47.8079456Z     out = self.block(x)
2025-08-14T21:28:47.8079781Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-14T21:28:47.8080062Z     out = self.net(x)
2025-08-14T21:28:47.8080150Z 
2025-08-14T21:28:47.8080232Z cudagraph partition due to non gpu ops
2025-08-14T21:28:47.8080446Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8080772Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8081064Z     return mod(*inputs)
2025-08-14T21:28:47.8081321Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8081608Z     x = self.blocks(x)
2025-08-14T21:28:47.8081869Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-14T21:28:47.8082148Z     out = self.block(x)
2025-08-14T21:28:47.8082412Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 33, in forward
2025-08-14T21:28:47.8082706Z     out = torch.cat([out, x], dim=1)
2025-08-14T21:28:47.8082826Z 
2025-08-14T21:28:47.8082928Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8083246Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8083541Z     return mod(*inputs)
2025-08-14T21:28:47.8083805Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8084084Z     x = self.blocks(x)
2025-08-14T21:28:47.8084349Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 79, in forward
2025-08-14T21:28:47.8084645Z     return self.transition(x)
2025-08-14T21:28:47.8084757Z 
2025-08-14T21:28:47.8084861Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8085182Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8085476Z     return mod(*inputs)
2025-08-14T21:28:47.8085743Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8086025Z     x = self.blocks(x)
2025-08-14T21:28:47.8086288Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 79, in forward
2025-08-14T21:28:47.8086591Z     return self.transition(x)
2025-08-14T21:28:47.8086699Z 
2025-08-14T21:28:47.8086799Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8087117Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8087410Z     return mod(*inputs)
2025-08-14T21:28:47.8087675Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8087951Z     x = self.blocks(x)
2025-08-14T21:28:47.8088242Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 79, in forward
2025-08-14T21:28:47.8088531Z     return self.transition(x)
2025-08-14T21:28:47.8088639Z 
2025-08-14T21:28:47.8088740Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8089066Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8089361Z     return mod(*inputs)
2025-08-14T21:28:47.8089625Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8089903Z     x = self.blocks(x)
2025-08-14T21:28:47.8090163Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-14T21:28:47.8090447Z     out = self.block(x)
2025-08-14T21:28:47.8090707Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-14T21:28:47.8090980Z     out = self.net(x)
2025-08-14T21:28:47.8091079Z 
2025-08-14T21:28:47.8091176Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8091502Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8091790Z     return mod(*inputs)
2025-08-14T21:28:47.8092118Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8092403Z     x = self.blocks(x)
2025-08-14T21:28:47.8092655Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-14T21:28:47.8092941Z     out = self.block(x)
2025-08-14T21:28:47.8093203Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-14T21:28:47.8093487Z     out = self.net(x)
2025-08-14T21:28:47.8093575Z 
2025-08-14T21:28:47.8093667Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8093997Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8094290Z     return mod(*inputs)
2025-08-14T21:28:47.8094548Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8094836Z     x = self.blocks(x)
2025-08-14T21:28:47.8095104Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-14T21:28:47.8095384Z     out = self.block(x)
2025-08-14T21:28:47.8095636Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-14T21:28:47.8095915Z     out = self.net(x)
2025-08-14T21:28:47.8096004Z 
2025-08-14T21:28:47.8096104Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8096425Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8096720Z     return mod(*inputs)
2025-08-14T21:28:47.8096981Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8097266Z     x = self.blocks(x)
2025-08-14T21:28:47.8097522Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-14T21:28:47.8097806Z     out = self.block(x)
2025-08-14T21:28:47.8098068Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-14T21:28:47.8098347Z     out = self.net(x)
2025-08-14T21:28:47.8098445Z 
2025-08-14T21:28:47.8098519Z cudagraph partition due to non gpu ops
2025-08-14T21:28:47.8098742Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8099072Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8099361Z     return mod(*inputs)
2025-08-14T21:28:47.8099627Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8099916Z     x = self.blocks(x)
2025-08-14T21:28:47.8100172Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-14T21:28:47.8100454Z     out = self.block(x)
2025-08-14T21:28:47.8100746Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 33, in forward
2025-08-14T21:28:47.8101032Z     out = torch.cat([out, x], dim=1)
2025-08-14T21:28:47.8101162Z 
2025-08-14T21:28:47.8101257Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8101584Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8101879Z     return mod(*inputs)
2025-08-14T21:28:47.8102137Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8102423Z     x = self.blocks(x)
2025-08-14T21:28:47.8102683Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-14T21:28:47.8102958Z     out = self.block(x)
2025-08-14T21:28:47.8103220Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-14T21:28:47.8103501Z     out = self.net(x)
2025-08-14T21:28:47.8103590Z 
2025-08-14T21:28:47.8103694Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8104014Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8104882Z     return mod(*inputs)
2025-08-14T21:28:47.8105148Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8105426Z     x = self.blocks(x)
2025-08-14T21:28:47.8105690Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-14T21:28:47.8105974Z     out = self.block(x)
2025-08-14T21:28:47.8106238Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-14T21:28:47.8106511Z     out = self.net(x)
2025-08-14T21:28:47.8106607Z 
2025-08-14T21:28:47.8106701Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8107026Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8107313Z     return mod(*inputs)
2025-08-14T21:28:47.8107580Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8107869Z     x = self.blocks(x)
2025-08-14T21:28:47.8108128Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-14T21:28:47.8108406Z     out = self.block(x)
2025-08-14T21:28:47.8108665Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-14T21:28:47.8108949Z     out = self.net(x)
2025-08-14T21:28:47.8109040Z 
2025-08-14T21:28:47.8109133Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8109457Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8109750Z     return mod(*inputs)
2025-08-14T21:28:47.8110005Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8110291Z     x = self.blocks(x)
2025-08-14T21:28:47.8110552Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-14T21:28:47.8110838Z     out = self.block(x)
2025-08-14T21:28:47.8111094Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-14T21:28:47.8111377Z     out = self.net(x)
2025-08-14T21:28:47.8111466Z 
2025-08-14T21:28:47.8111548Z cudagraph partition due to non gpu ops
2025-08-14T21:28:47.8111760Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8112088Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8112384Z     return mod(*inputs)
2025-08-14T21:28:47.8112650Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8112927Z     x = self.blocks(x)
2025-08-14T21:28:47.8113192Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-14T21:28:47.8113506Z     out = self.block(x)
2025-08-14T21:28:47.8113761Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 33, in forward
2025-08-14T21:28:47.8114056Z     out = torch.cat([out, x], dim=1)
2025-08-14T21:28:47.8114176Z 
2025-08-14T21:28:47.8114279Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8114606Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8114892Z     return mod(*inputs)
2025-08-14T21:28:47.8115154Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8115439Z     x = self.blocks(x)
2025-08-14T21:28:47.8115693Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-14T21:28:47.8115979Z     out = self.block(x)
2025-08-14T21:28:47.8116243Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-14T21:28:47.8116520Z     out = self.net(x)
2025-08-14T21:28:47.8116617Z 
2025-08-14T21:28:47.8116709Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8117039Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8117367Z     return mod(*inputs)
2025-08-14T21:28:47.8117623Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8117910Z     x = self.blocks(x)
2025-08-14T21:28:47.8118172Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-14T21:28:47.8118447Z     out = self.block(x)
2025-08-14T21:28:47.8118710Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-14T21:28:47.8118992Z     out = self.net(x)
2025-08-14T21:28:47.8119080Z 
2025-08-14T21:28:47.8119182Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8119504Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8119797Z     return mod(*inputs)
2025-08-14T21:28:47.8120060Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8120342Z     x = self.blocks(x)
2025-08-14T21:28:47.8120605Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-14T21:28:47.8120883Z     out = self.block(x)
2025-08-14T21:28:47.8121142Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-14T21:28:47.8121415Z     out = self.net(x)
2025-08-14T21:28:47.8121510Z 
2025-08-14T21:28:47.8121602Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8121932Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8122221Z     return mod(*inputs)
2025-08-14T21:28:47.8122487Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8122776Z     x = self.blocks(x)
2025-08-14T21:28:47.8123038Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-14T21:28:47.8123318Z     out = self.block(x)
2025-08-14T21:28:47.8123580Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-14T21:28:47.8123860Z     out = self.net(x)
2025-08-14T21:28:47.8123949Z 
2025-08-14T21:28:47.8124024Z cudagraph partition due to non gpu ops
2025-08-14T21:28:47.8124245Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8124573Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8124859Z     return mod(*inputs)
2025-08-14T21:28:47.8125125Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8125410Z     x = self.blocks(x)
2025-08-14T21:28:47.8125714Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-14T21:28:47.8125992Z     out = self.block(x)
2025-08-14T21:28:47.8126256Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 33, in forward
2025-08-14T21:28:47.8126549Z     out = torch.cat([out, x], dim=1)
2025-08-14T21:28:47.8126669Z 
2025-08-14T21:28:47.8126762Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8127090Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8127387Z     return mod(*inputs)
2025-08-14T21:28:47.8127653Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8127931Z     x = self.blocks(x)
2025-08-14T21:28:47.8128200Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-14T21:28:47.8128486Z     out = self.block(x)
2025-08-14T21:28:47.8128744Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-14T21:28:47.8129028Z     out = self.net(x)
2025-08-14T21:28:47.8129123Z 
2025-08-14T21:28:47.8129215Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8129574Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8129864Z     return mod(*inputs)
2025-08-14T21:28:47.8130129Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8130416Z     x = self.blocks(x)
2025-08-14T21:28:47.8130669Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-14T21:28:47.8130954Z     out = self.block(x)
2025-08-14T21:28:47.8131215Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-14T21:28:47.8131493Z     out = self.net(x)
2025-08-14T21:28:47.8131584Z 
2025-08-14T21:28:47.8131676Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8132008Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8132304Z     return mod(*inputs)
2025-08-14T21:28:47.8132563Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8132846Z     x = self.blocks(x)
2025-08-14T21:28:47.8133108Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-14T21:28:47.8133384Z     out = self.block(x)
2025-08-14T21:28:47.8133645Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-14T21:28:47.8133929Z     out = self.net(x)
2025-08-14T21:28:47.8134019Z 
2025-08-14T21:28:47.8134122Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8134439Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8134736Z     return mod(*inputs)
2025-08-14T21:28:47.8135007Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8135288Z     x = self.blocks(x)
2025-08-14T21:28:47.8135551Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-14T21:28:47.8135838Z     out = self.block(x)
2025-08-14T21:28:47.8136099Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-14T21:28:47.8136373Z     out = self.net(x)
2025-08-14T21:28:47.8136472Z 
2025-08-14T21:28:47.8136548Z cudagraph partition due to non gpu ops
2025-08-14T21:28:47.8136772Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8137096Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8137395Z     return mod(*inputs)
2025-08-14T21:28:47.8137667Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8137952Z     x = self.blocks(x)
2025-08-14T21:28:47.8138240Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-14T21:28:47.8138538Z     out = self.block(x)
2025-08-14T21:28:47.8138811Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 33, in forward
2025-08-14T21:28:47.8139110Z     out = torch.cat([out, x], dim=1)
2025-08-14T21:28:47.8139238Z 
2025-08-14T21:28:47.8139336Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8139676Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8139977Z     return mod(*inputs)
2025-08-14T21:28:47.8140244Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8140537Z     x = self.blocks(x)
2025-08-14T21:28:47.8140810Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-14T21:28:47.8141091Z     out = self.block(x)
2025-08-14T21:28:47.8141364Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-14T21:28:47.8141656Z     out = self.net(x)
2025-08-14T21:28:47.8141749Z 
2025-08-14T21:28:47.8141879Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8142200Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8142494Z     return mod(*inputs)
2025-08-14T21:28:47.8142764Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8143042Z     x = self.blocks(x)
2025-08-14T21:28:47.8143305Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-14T21:28:47.8143588Z     out = self.block(x)
2025-08-14T21:28:47.8143839Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-14T21:28:47.8144123Z     out = self.net(x)
2025-08-14T21:28:47.8144222Z 
2025-08-14T21:28:47.8144461Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8144790Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8145081Z     return mod(*inputs)
2025-08-14T21:28:47.8145352Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8145638Z     x = self.blocks(x)
2025-08-14T21:28:47.8145892Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-14T21:28:47.8146175Z     out = self.block(x)
2025-08-14T21:28:47.8146435Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-14T21:28:47.8146715Z     out = self.net(x)
2025-08-14T21:28:47.8146803Z 
2025-08-14T21:28:47.8146897Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8147228Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8147524Z     return mod(*inputs)
2025-08-14T21:28:47.8147786Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8148072Z     x = self.blocks(x)
2025-08-14T21:28:47.8148336Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-14T21:28:47.8148618Z     out = self.block(x)
2025-08-14T21:28:47.8148872Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-14T21:28:47.8149153Z     out = self.net(x)
2025-08-14T21:28:47.8149244Z 
2025-08-14T21:28:47.8149328Z cudagraph partition due to non gpu ops
2025-08-14T21:28:47.8149543Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8149874Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8150170Z     return mod(*inputs)
2025-08-14T21:28:47.8150442Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8150752Z     x = self.blocks(x)
2025-08-14T21:28:47.8151017Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-14T21:28:47.8151305Z     out = self.block(x)
2025-08-14T21:28:47.8151557Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 33, in forward
2025-08-14T21:28:47.8151848Z     out = torch.cat([out, x], dim=1)
2025-08-14T21:28:47.8151966Z 
2025-08-14T21:28:47.8152069Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8152396Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8152681Z     return mod(*inputs)
2025-08-14T21:28:47.8152944Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8153228Z     x = self.blocks(x)
2025-08-14T21:28:47.8153480Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-14T21:28:47.8153767Z     out = self.block(x)
2025-08-14T21:28:47.8154025Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-14T21:28:47.8154298Z     out = self.net(x)
2025-08-14T21:28:47.8154431Z 
2025-08-14T21:28:47.8154524Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8154848Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8155144Z     return mod(*inputs)
2025-08-14T21:28:47.8155398Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8155684Z     x = self.blocks(x)
2025-08-14T21:28:47.8155942Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-14T21:28:47.8156214Z     out = self.block(x)
2025-08-14T21:28:47.8156470Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-14T21:28:47.8156750Z     out = self.net(x)
2025-08-14T21:28:47.8156837Z 
2025-08-14T21:28:47.8156941Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8157260Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8157557Z     return mod(*inputs)
2025-08-14T21:28:47.8157822Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8158099Z     x = self.blocks(x)
2025-08-14T21:28:47.8158362Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-14T21:28:47.8158645Z     out = self.block(x)
2025-08-14T21:28:47.8158904Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-14T21:28:47.8159178Z     out = self.net(x)
2025-08-14T21:28:47.8159275Z 
2025-08-14T21:28:47.8159366Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8159690Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8159977Z     return mod(*inputs)
2025-08-14T21:28:47.8160242Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8160532Z     x = self.blocks(x)
2025-08-14T21:28:47.8160789Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-14T21:28:47.8161086Z     out = self.block(x)
2025-08-14T21:28:47.8161353Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-14T21:28:47.8161645Z     out = self.net(x)
2025-08-14T21:28:47.8161737Z 
2025-08-14T21:28:47.8161811Z cudagraph partition due to non gpu ops
2025-08-14T21:28:47.8162039Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8162379Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8162673Z     return mod(*inputs)
2025-08-14T21:28:47.8162982Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8163278Z     x = self.blocks(x)
2025-08-14T21:28:47.8163586Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-14T21:28:47.8163874Z     out = self.block(x)
2025-08-14T21:28:47.8164148Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 33, in forward
2025-08-14T21:28:47.8164447Z     out = torch.cat([out, x], dim=1)
2025-08-14T21:28:47.8164570Z 
2025-08-14T21:28:47.8164665Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8165009Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8165314Z     return mod(*inputs)
2025-08-14T21:28:47.8165589Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8165879Z     x = self.blocks(x)
2025-08-14T21:28:47.8166153Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 79, in forward
2025-08-14T21:28:47.8166458Z     return self.transition(x)
2025-08-14T21:28:47.8166571Z 
2025-08-14T21:28:47.8166668Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8167040Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8167350Z     return mod(*inputs)
2025-08-14T21:28:47.8167633Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8167922Z     x = self.blocks(x)
2025-08-14T21:28:47.8168194Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 79, in forward
2025-08-14T21:28:47.8168497Z     return self.transition(x)
2025-08-14T21:28:47.8168609Z 
2025-08-14T21:28:47.8168705Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8169046Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8169351Z     return mod(*inputs)
2025-08-14T21:28:47.8169680Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8169971Z     x = self.blocks(x)
2025-08-14T21:28:47.8170249Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 79, in forward
2025-08-14T21:28:47.8170550Z     return self.transition(x)
2025-08-14T21:28:47.8170663Z 
2025-08-14T21:28:47.8170759Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8171099Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8171406Z     return mod(*inputs)
2025-08-14T21:28:47.8171683Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8171972Z     x = self.blocks(x)
2025-08-14T21:28:47.8172244Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-14T21:28:47.8172541Z     out = self.block(x)
2025-08-14T21:28:47.8172803Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-14T21:28:47.8173098Z     out = self.net(x)
2025-08-14T21:28:47.8173191Z 
2025-08-14T21:28:47.8173300Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8173633Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8173936Z     return mod(*inputs)
2025-08-14T21:28:47.8174208Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8174504Z     x = self.blocks(x)
2025-08-14T21:28:47.8174765Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-14T21:28:47.8175055Z     out = self.block(x)
2025-08-14T21:28:47.8175324Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-14T21:28:47.8175606Z     out = self.net(x)
2025-08-14T21:28:47.8175706Z 
2025-08-14T21:28:47.8175870Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8176212Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8176522Z     return mod(*inputs)
2025-08-14T21:28:47.8176786Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8177081Z     x = self.blocks(x)
2025-08-14T21:28:47.8177351Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-14T21:28:47.8177648Z     out = self.block(x)
2025-08-14T21:28:47.8177916Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-14T21:28:47.8178207Z     out = self.net(x)
2025-08-14T21:28:47.8178297Z 
2025-08-14T21:28:47.8178405Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8178730Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8179033Z     return mod(*inputs)
2025-08-14T21:28:47.8179301Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8179579Z     x = self.blocks(x)
2025-08-14T21:28:47.8179883Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-14T21:28:47.8180166Z     out = self.block(x)
2025-08-14T21:28:47.8180420Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-14T21:28:47.8180701Z     out = self.net(x)
2025-08-14T21:28:47.8180797Z 
2025-08-14T21:28:47.8180872Z cudagraph partition due to non gpu ops
2025-08-14T21:28:47.8181095Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8181418Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8181713Z     return mod(*inputs)
2025-08-14T21:28:47.8181979Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8182262Z     x = self.blocks(x)
2025-08-14T21:28:47.8182523Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-14T21:28:47.8182810Z     out = self.block(x)
2025-08-14T21:28:47.8183066Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 33, in forward
2025-08-14T21:28:47.8183347Z     out = torch.cat([out, x], dim=1)
2025-08-14T21:28:47.8183470Z 
2025-08-14T21:28:47.8183565Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8183893Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8184177Z     return mod(*inputs)
2025-08-14T21:28:47.8184441Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8184723Z     x = self.blocks(x)
2025-08-14T21:28:47.8184980Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-14T21:28:47.8185255Z     out = self.block(x)
2025-08-14T21:28:47.8185517Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-14T21:28:47.8185800Z     out = self.net(x)
2025-08-14T21:28:47.8185892Z 
2025-08-14T21:28:47.8185985Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8186308Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8186602Z     return mod(*inputs)
2025-08-14T21:28:47.8186867Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8187144Z     x = self.blocks(x)
2025-08-14T21:28:47.8187403Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-14T21:28:47.8187684Z     out = self.block(x)
2025-08-14T21:28:47.8187935Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-14T21:28:47.8188219Z     out = self.net(x)
2025-08-14T21:28:47.8188335Z 
2025-08-14T21:28:47.8188438Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8188766Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8189059Z     return mod(*inputs)
2025-08-14T21:28:47.8189326Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8189613Z     x = self.blocks(x)
2025-08-14T21:28:47.8189867Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-14T21:28:47.8190153Z     out = self.block(x)
2025-08-14T21:28:47.8190424Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-14T21:28:47.8190699Z     out = self.net(x)
2025-08-14T21:28:47.8190797Z 
2025-08-14T21:28:47.8190890Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8191221Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8191522Z     return mod(*inputs)
2025-08-14T21:28:47.8191781Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8192094Z     x = self.blocks(x)
2025-08-14T21:28:47.8192353Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-14T21:28:47.8192630Z     out = self.block(x)
2025-08-14T21:28:47.8192896Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-14T21:28:47.8193179Z     out = self.net(x)
2025-08-14T21:28:47.8193267Z 
2025-08-14T21:28:47.8193351Z cudagraph partition due to non gpu ops
2025-08-14T21:28:47.8193564Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8193893Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8194186Z     return mod(*inputs)
2025-08-14T21:28:47.8194448Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8194733Z     x = self.blocks(x)
2025-08-14T21:28:47.8194998Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-14T21:28:47.8195285Z     out = self.block(x)
2025-08-14T21:28:47.8195537Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 33, in forward
2025-08-14T21:28:47.8195827Z     out = torch.cat([out, x], dim=1)
2025-08-14T21:28:47.8195944Z 
2025-08-14T21:28:47.8196044Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8196365Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8196661Z     return mod(*inputs)
2025-08-14T21:28:47.8196929Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8197215Z     x = self.blocks(x)
2025-08-14T21:28:47.8197472Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-14T21:28:47.8197755Z     out = self.block(x)
2025-08-14T21:28:47.8198020Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-14T21:28:47.8198299Z     out = self.net(x)
2025-08-14T21:28:47.8198397Z 
2025-08-14T21:28:47.8198491Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8198820Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8199109Z     return mod(*inputs)
2025-08-14T21:28:47.8199375Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8199661Z     x = self.blocks(x)
2025-08-14T21:28:47.8199924Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-14T21:28:47.8200203Z     out = self.block(x)
2025-08-14T21:28:47.8200466Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-14T21:28:47.8200787Z     out = self.net(x)
2025-08-14T21:28:47.8200878Z 
2025-08-14T21:28:47.8200971Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8201305Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8201602Z     return mod(*inputs)
2025-08-14T21:28:47.8201866Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8202143Z     x = self.blocks(x)
2025-08-14T21:28:47.8202408Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-14T21:28:47.8202696Z     out = self.block(x)
2025-08-14T21:28:47.8202947Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-14T21:28:47.8203231Z     out = self.net(x)
2025-08-14T21:28:47.8203319Z 
2025-08-14T21:28:47.8203423Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8203754Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8204041Z     return mod(*inputs)
2025-08-14T21:28:47.8204305Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8204621Z     x = self.blocks(x)
2025-08-14T21:28:47.8204879Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-14T21:28:47.8205168Z     out = self.block(x)
2025-08-14T21:28:47.8205435Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-14T21:28:47.8205712Z     out = self.net(x)
2025-08-14T21:28:47.8205813Z 
2025-08-14T21:28:47.8205889Z cudagraph partition due to non gpu ops
2025-08-14T21:28:47.8206114Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8206449Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8206739Z     return mod(*inputs)
2025-08-14T21:28:47.8207012Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8207304Z     x = self.blocks(x)
2025-08-14T21:28:47.8207560Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-14T21:28:47.8207845Z     out = self.block(x)
2025-08-14T21:28:47.8208108Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 33, in forward
2025-08-14T21:28:47.8208400Z     out = torch.cat([out, x], dim=1)
2025-08-14T21:28:47.8208520Z 
2025-08-14T21:28:47.8208614Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8208950Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8209248Z     return mod(*inputs)
2025-08-14T21:28:47.8209508Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8209797Z     x = self.blocks(x)
2025-08-14T21:28:47.8210063Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-14T21:28:47.8210354Z     out = self.block(x)
2025-08-14T21:28:47.8210607Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-14T21:28:47.8210897Z     out = self.net(x)
2025-08-14T21:28:47.8210987Z 
2025-08-14T21:28:47.8211089Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8211416Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8211712Z     return mod(*inputs)
2025-08-14T21:28:47.8211981Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8212269Z     x = self.blocks(x)
2025-08-14T21:28:47.8212523Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-14T21:28:47.8212815Z     out = self.block(x)
2025-08-14T21:28:47.8213105Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-14T21:28:47.8213383Z     out = self.net(x)
2025-08-14T21:28:47.8213483Z 
2025-08-14T21:28:47.8213575Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8213909Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8214209Z     return mod(*inputs)
2025-08-14T21:28:47.8214468Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8214760Z     x = self.blocks(x)
2025-08-14T21:28:47.8215023Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-14T21:28:47.8215300Z     out = self.block(x)
2025-08-14T21:28:47.8215567Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-14T21:28:47.8215850Z     out = self.net(x)
2025-08-14T21:28:47.8215941Z 
2025-08-14T21:28:47.8216035Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8216369Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8216667Z     return mod(*inputs)
2025-08-14T21:28:47.8216973Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8217257Z     x = self.blocks(x)
2025-08-14T21:28:47.8217519Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-14T21:28:47.8217805Z     out = self.block(x)
2025-08-14T21:28:47.8218061Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-14T21:28:47.8218347Z     out = self.net(x)
2025-08-14T21:28:47.8218443Z 
2025-08-14T21:28:47.8218520Z cudagraph partition due to non gpu ops
2025-08-14T21:28:47.8218740Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8219063Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8219364Z     return mod(*inputs)
2025-08-14T21:28:47.8219633Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8219913Z     x = self.blocks(x)
2025-08-14T21:28:47.8220174Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-14T21:28:47.8220460Z     out = self.block(x)
2025-08-14T21:28:47.8220715Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 33, in forward
2025-08-14T21:28:47.8221007Z     out = torch.cat([out, x], dim=1)
2025-08-14T21:28:47.8221131Z 
2025-08-14T21:28:47.8221223Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8221554Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8221841Z     return mod(*inputs)
2025-08-14T21:28:47.8222108Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8222396Z     x = self.blocks(x)
2025-08-14T21:28:47.8222649Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-14T21:28:47.8222940Z     out = self.block(x)
2025-08-14T21:28:47.8223205Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-14T21:28:47.8223489Z     out = self.net(x)
2025-08-14T21:28:47.8223577Z 
2025-08-14T21:28:47.8223668Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8224000Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8224297Z     return mod(*inputs)
2025-08-14T21:28:47.8224556Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8224842Z     x = self.blocks(x)
2025-08-14T21:28:47.8225103Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-14T21:28:47.8225382Z     out = self.block(x)
2025-08-14T21:28:47.8225669Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-14T21:28:47.8225954Z     out = self.net(x)
2025-08-14T21:28:47.8226047Z 
2025-08-14T21:28:47.8226149Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8226473Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8226773Z     return mod(*inputs)
2025-08-14T21:28:47.8227036Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8227324Z     x = self.blocks(x)
2025-08-14T21:28:47.8227579Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-14T21:28:47.8227863Z     out = self.block(x)
2025-08-14T21:28:47.8228122Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-14T21:28:47.8228399Z     out = self.net(x)
2025-08-14T21:28:47.8228498Z 
2025-08-14T21:28:47.8228595Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8228924Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8229293Z     return mod(*inputs)
2025-08-14T21:28:47.8229552Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8229835Z     x = self.blocks(x)
2025-08-14T21:28:47.8230096Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-14T21:28:47.8230376Z     out = self.block(x)
2025-08-14T21:28:47.8230638Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-14T21:28:47.8230922Z     out = self.net(x)
2025-08-14T21:28:47.8231011Z 
2025-08-14T21:28:47.8231087Z cudagraph partition due to non gpu ops
2025-08-14T21:28:47.8231314Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8231653Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8231952Z     return mod(*inputs)
2025-08-14T21:28:47.8232217Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8232508Z     x = self.blocks(x)
2025-08-14T21:28:47.8232768Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-14T21:28:47.8233045Z     out = self.block(x)
2025-08-14T21:28:47.8233306Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 33, in forward
2025-08-14T21:28:47.8233597Z     out = torch.cat([out, x], dim=1)
2025-08-14T21:28:47.8233715Z 
2025-08-14T21:28:47.8233817Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8234140Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8234435Z     return mod(*inputs)
2025-08-14T21:28:47.8234703Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8234982Z     x = self.blocks(x)
2025-08-14T21:28:47.8235239Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-14T21:28:47.8235522Z     out = self.block(x)
2025-08-14T21:28:47.8235779Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-14T21:28:47.8236051Z     out = self.net(x)
2025-08-14T21:28:47.8236148Z 
2025-08-14T21:28:47.8236238Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8236566Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8236854Z     return mod(*inputs)
2025-08-14T21:28:47.8237119Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8237401Z     x = self.blocks(x)
2025-08-14T21:28:47.8237660Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-14T21:28:47.8237967Z     out = self.block(x)
2025-08-14T21:28:47.8238230Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-14T21:28:47.8238514Z     out = self.net(x)
2025-08-14T21:28:47.8238604Z 
2025-08-14T21:28:47.8238697Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8239030Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8239325Z     return mod(*inputs)
2025-08-14T21:28:47.8239583Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8239873Z     x = self.blocks(x)
2025-08-14T21:28:47.8240133Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-14T21:28:47.8240418Z     out = self.block(x)
2025-08-14T21:28:47.8240672Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-14T21:28:47.8240957Z     out = self.net(x)
2025-08-14T21:28:47.8241047Z 
2025-08-14T21:28:47.8241151Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8241478Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8241811Z     return mod(*inputs)
2025-08-14T21:28:47.8242076Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8242361Z     x = self.blocks(x)
2025-08-14T21:28:47.8242619Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-14T21:28:47.8242905Z     out = self.block(x)
2025-08-14T21:28:47.8243167Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-14T21:28:47.8243444Z     out = self.net(x)
2025-08-14T21:28:47.8243542Z 
2025-08-14T21:28:47.8243616Z cudagraph partition due to non gpu ops
2025-08-14T21:28:47.8243836Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8244166Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8244459Z     return mod(*inputs)
2025-08-14T21:28:47.8244723Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8245013Z     x = self.blocks(x)
2025-08-14T21:28:47.8245264Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-14T21:28:47.8245549Z     out = self.block(x)
2025-08-14T21:28:47.8245810Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 33, in forward
2025-08-14T21:28:47.8246097Z     out = torch.cat([out, x], dim=1)
2025-08-14T21:28:47.8246222Z 
2025-08-14T21:28:47.8246315Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8246645Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8246943Z     return mod(*inputs)
2025-08-14T21:28:47.8247201Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8247488Z     x = self.blocks(x)
2025-08-14T21:28:47.8247751Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 79, in forward
2025-08-14T21:28:47.8248038Z     return self.transition(x)
2025-08-14T21:28:47.8248154Z 
2025-08-14T21:28:47.8248247Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8248576Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8248871Z     return mod(*inputs)
2025-08-14T21:28:47.8249126Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8249411Z     x = self.blocks(x)
2025-08-14T21:28:47.8249673Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 79, in forward
2025-08-14T21:28:47.8249953Z     return self.transition(x)
2025-08-14T21:28:47.8250070Z 
2025-08-14T21:28:47.8250196Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8250536Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8250838Z     return mod(*inputs)
2025-08-14T21:28:47.8251094Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8251386Z     x = self.blocks(x)
2025-08-14T21:28:47.8251647Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 79, in forward
2025-08-14T21:28:47.8251934Z     return self.transition(x)
2025-08-14T21:28:47.8252051Z 
2025-08-14T21:28:47.8252145Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8252478Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8252777Z     return mod(*inputs)
2025-08-14T21:28:47.8253037Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8253328Z     x = self.blocks(x)
2025-08-14T21:28:47.8253589Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-14T21:28:47.8253868Z     out = self.block(x)
2025-08-14T21:28:47.8254166Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-14T21:28:47.8254454Z     out = self.net(x)
2025-08-14T21:28:47.8254549Z 
2025-08-14T21:28:47.8254651Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8254979Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8255277Z     return mod(*inputs)
2025-08-14T21:28:47.8255548Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8255830Z     x = self.blocks(x)
2025-08-14T21:28:47.8256096Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-14T21:28:47.8256385Z     out = self.block(x)
2025-08-14T21:28:47.8256650Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-14T21:28:47.8256934Z     out = self.net(x)
2025-08-14T21:28:47.8257039Z 
2025-08-14T21:28:47.8257134Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8257470Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8257763Z     return mod(*inputs)
2025-08-14T21:28:47.8258037Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8258329Z     x = self.blocks(x)
2025-08-14T21:28:47.8258590Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-14T21:28:47.8258879Z     out = self.block(x)
2025-08-14T21:28:47.8259150Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-14T21:28:47.8259437Z     out = self.net(x)
2025-08-14T21:28:47.8259529Z 
2025-08-14T21:28:47.8259628Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8259966Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8260269Z     return mod(*inputs)
2025-08-14T21:28:47.8260533Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8260823Z     x = self.blocks(x)
2025-08-14T21:28:47.8261090Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-14T21:28:47.8261376Z     out = self.block(x)
2025-08-14T21:28:47.8261636Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-14T21:28:47.8261927Z     out = self.net(x)
2025-08-14T21:28:47.8262016Z 
2025-08-14T21:28:47.8262105Z cudagraph partition due to non gpu ops
2025-08-14T21:28:47.8262324Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8262689Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8262992Z     return mod(*inputs)
2025-08-14T21:28:47.8263268Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8263557Z     x = self.blocks(x)
2025-08-14T21:28:47.8263826Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-14T21:28:47.8264119Z     out = self.block(x)
2025-08-14T21:28:47.8264380Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 33, in forward
2025-08-14T21:28:47.8264681Z     out = torch.cat([out, x], dim=1)
2025-08-14T21:28:47.8264804Z 
2025-08-14T21:28:47.8264913Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8265250Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8265546Z     return mod(*inputs)
2025-08-14T21:28:47.8265824Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8266124Z     x = self.blocks(x)
2025-08-14T21:28:47.8266385Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-14T21:28:47.8266717Z     out = self.block(x)
2025-08-14T21:28:47.8266981Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-14T21:28:47.8267260Z     out = self.net(x)
2025-08-14T21:28:47.8267358Z 
2025-08-14T21:28:47.8267454Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8267790Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8268097Z     return mod(*inputs)
2025-08-14T21:28:47.8268358Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8268645Z     x = self.blocks(x)
2025-08-14T21:28:47.8268908Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-14T21:28:47.8269186Z     out = self.block(x)
2025-08-14T21:28:47.8269453Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-14T21:28:47.8269787Z     out = self.net(x)
2025-08-14T21:28:47.8269881Z 
2025-08-14T21:28:47.8269985Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8270317Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8270623Z     return mod(*inputs)
2025-08-14T21:28:47.8270901Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8271188Z     x = self.blocks(x)
2025-08-14T21:28:47.8271464Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-14T21:28:47.8271762Z     out = self.block(x)
2025-08-14T21:28:47.8272033Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-14T21:28:47.8272317Z     out = self.net(x)
2025-08-14T21:28:47.8272423Z 
2025-08-14T21:28:47.8272520Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8272862Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8273164Z     return mod(*inputs)
2025-08-14T21:28:47.8273436Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8273729Z     x = self.blocks(x)
2025-08-14T21:28:47.8273993Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-14T21:28:47.8274276Z     out = self.block(x)
2025-08-14T21:28:47.8274545Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-14T21:28:47.8274831Z     out = self.net(x)
2025-08-14T21:28:47.8274923Z 
2025-08-14T21:28:47.8275000Z cudagraph partition due to non gpu ops
2025-08-14T21:28:47.8275227Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8275615Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8275916Z     return mod(*inputs)
2025-08-14T21:28:47.8276192Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8276486Z     x = self.blocks(x)
2025-08-14T21:28:47.8276760Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-14T21:28:47.8277045Z     out = self.block(x)
2025-08-14T21:28:47.8277315Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 33, in forward
2025-08-14T21:28:47.8277615Z     out = torch.cat([out, x], dim=1)
2025-08-14T21:28:47.8277738Z 
2025-08-14T21:28:47.8277835Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8278177Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8278484Z     return mod(*inputs)
2025-08-14T21:28:47.8278770Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8279057Z     x = self.blocks(x)
2025-08-14T21:28:47.8279329Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-14T21:28:47.8279673Z     out = self.block(x)
2025-08-14T21:28:47.8279938Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-14T21:28:47.8280233Z     out = self.net(x)
2025-08-14T21:28:47.8280323Z 
2025-08-14T21:28:47.8280428Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8280777Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8281077Z     return mod(*inputs)
2025-08-14T21:28:47.8281359Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8281653Z     x = self.blocks(x)
2025-08-14T21:28:47.8281916Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-14T21:28:47.8282208Z     out = self.block(x)
2025-08-14T21:28:47.8282480Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-14T21:28:47.8282768Z     out = self.net(x)
2025-08-14T21:28:47.8282865Z 
2025-08-14T21:28:47.8282960Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8283310Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8283605Z     return mod(*inputs)
2025-08-14T21:28:47.8283868Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8284159Z     x = self.blocks(x)
2025-08-14T21:28:47.8284422Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-14T21:28:47.8284697Z     out = self.block(x)
2025-08-14T21:28:47.8284962Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-14T21:28:47.8285247Z     out = self.net(x)
2025-08-14T21:28:47.8285339Z 
2025-08-14T21:28:47.8285438Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8285766Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8286061Z     return mod(*inputs)
2025-08-14T21:28:47.8286327Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8286387Z     x = self.blocks(x)
2025-08-14T21:28:47.8286555Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-14T21:28:47.8286626Z     out = self.block(x)
2025-08-14T21:28:47.8286792Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-14T21:28:47.8286860Z     out = self.net(x)
2025-08-14T21:28:47.8286863Z 
2025-08-14T21:28:47.8286939Z cudagraph partition due to non gpu ops
2025-08-14T21:28:47.8287064Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8287252Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8287317Z     return mod(*inputs)
2025-08-14T21:28:47.8287489Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8287558Z     x = self.blocks(x)
2025-08-14T21:28:47.8287723Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-14T21:28:47.8287790Z     out = self.block(x)
2025-08-14T21:28:47.8287957Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 33, in forward
2025-08-14T21:28:47.8288026Z     out = torch.cat([out, x], dim=1)
2025-08-14T21:28:47.8288029Z 
2025-08-14T21:28:47.8288133Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8288312Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8288376Z     return mod(*inputs)
2025-08-14T21:28:47.8288554Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8288613Z     x = self.blocks(x)
2025-08-14T21:28:47.8288848Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-14T21:28:47.8288907Z     out = self.block(x)
2025-08-14T21:28:47.8289069Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-14T21:28:47.8289136Z     out = self.net(x)
2025-08-14T21:28:47.8289138Z 
2025-08-14T21:28:47.8289231Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8289407Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8289472Z     return mod(*inputs)
2025-08-14T21:28:47.8289639Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8289705Z     x = self.blocks(x)
2025-08-14T21:28:47.8289873Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-14T21:28:47.8289933Z     out = self.block(x)
2025-08-14T21:28:47.8290111Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-14T21:28:47.8290168Z     out = self.net(x)
2025-08-14T21:28:47.8290171Z 
2025-08-14T21:28:47.8290264Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8290450Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8290510Z     return mod(*inputs)
2025-08-14T21:28:47.8290684Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8290741Z     x = self.blocks(x)
2025-08-14T21:28:47.8290907Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-14T21:28:47.8290972Z     out = self.block(x)
2025-08-14T21:28:47.8291138Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-14T21:28:47.8291195Z     out = self.net(x)
2025-08-14T21:28:47.8291198Z 
2025-08-14T21:28:47.8291297Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8291476Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8291540Z     return mod(*inputs)
2025-08-14T21:28:47.8291705Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8291766Z     x = self.blocks(x)
2025-08-14T21:28:47.8291939Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-14T21:28:47.8291997Z     out = self.block(x)
2025-08-14T21:28:47.8292162Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-14T21:28:47.8292230Z     out = self.net(x)
2025-08-14T21:28:47.8292233Z 
2025-08-14T21:28:47.8292306Z cudagraph partition due to non gpu ops
2025-08-14T21:28:47.8292434Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8292610Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8292673Z     return mod(*inputs)
2025-08-14T21:28:47.8292856Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8292916Z     x = self.blocks(x)
2025-08-14T21:28:47.8293078Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-14T21:28:47.8293144Z     out = self.block(x)
2025-08-14T21:28:47.8293306Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 33, in forward
2025-08-14T21:28:47.8293378Z     out = torch.cat([out, x], dim=1)
2025-08-14T21:28:47.8293382Z 
2025-08-14T21:28:47.8293473Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8293651Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8293719Z     return mod(*inputs)
2025-08-14T21:28:47.8293885Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8293972Z     x = self.blocks(x)
2025-08-14T21:28:47.8294143Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-14T21:28:47.8294201Z     out = self.block(x)
2025-08-14T21:28:47.8294374Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-14T21:28:47.8294432Z     out = self.net(x)
2025-08-14T21:28:47.8294435Z 
2025-08-14T21:28:47.8294529Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8294718Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8294777Z     return mod(*inputs)
2025-08-14T21:28:47.8294946Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8295015Z     x = self.blocks(x)
2025-08-14T21:28:47.8295180Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-14T21:28:47.8295247Z     out = self.block(x)
2025-08-14T21:28:47.8295410Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-14T21:28:47.8295467Z     out = self.net(x)
2025-08-14T21:28:47.8295470Z 
2025-08-14T21:28:47.8295571Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8295747Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8295807Z     return mod(*inputs)
2025-08-14T21:28:47.8295982Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8296039Z     x = self.blocks(x)
2025-08-14T21:28:47.8296211Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-14T21:28:47.8296271Z     out = self.block(x)
2025-08-14T21:28:47.8296437Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-14T21:28:47.8296507Z     out = self.net(x)
2025-08-14T21:28:47.8296512Z 
2025-08-14T21:28:47.8296604Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8296781Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8296850Z     return mod(*inputs)
2025-08-14T21:28:47.8297017Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8297084Z     x = self.blocks(x)
2025-08-14T21:28:47.8297248Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-14T21:28:47.8297308Z     out = self.block(x)
2025-08-14T21:28:47.8297480Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-14T21:28:47.8297538Z     out = self.net(x)
2025-08-14T21:28:47.8297541Z 
2025-08-14T21:28:47.8297653Z cudagraph partition due to non gpu ops
2025-08-14T21:28:47.8297754Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8297930Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8297999Z     return mod(*inputs)
2025-08-14T21:28:47.8298163Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8298221Z     x = self.blocks(x)
2025-08-14T21:28:47.8298393Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-14T21:28:47.8298456Z     out = self.block(x)
2025-08-14T21:28:47.8298619Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 33, in forward
2025-08-14T21:28:47.8298696Z     out = torch.cat([out, x], dim=1)
2025-08-14T21:28:47.8298699Z 
2025-08-14T21:28:47.8298791Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8298982Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8299042Z     return mod(*inputs)
2025-08-14T21:28:47.8299206Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8299305Z     x = self.blocks(x)
2025-08-14T21:28:47.8299469Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-14T21:28:47.8299527Z     out = self.block(x)
2025-08-14T21:28:47.8299699Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-14T21:28:47.8299757Z     out = self.net(x)
2025-08-14T21:28:47.8299760Z 
2025-08-14T21:28:47.8299860Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8300036Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8300096Z     return mod(*inputs)
2025-08-14T21:28:47.8300276Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8300334Z     x = self.blocks(x)
2025-08-14T21:28:47.8300500Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-14T21:28:47.8300571Z     out = self.block(x)
2025-08-14T21:28:47.8300737Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-14T21:28:47.8300802Z     out = self.net(x)
2025-08-14T21:28:47.8300805Z 
2025-08-14T21:28:47.8300900Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8301074Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8301142Z     return mod(*inputs)
2025-08-14T21:28:47.8301309Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8301369Z     x = self.blocks(x)
2025-08-14T21:28:47.8301545Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-14T21:28:47.8301608Z     out = self.block(x)
2025-08-14T21:28:47.8301781Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-14T21:28:47.8301843Z     out = self.net(x)
2025-08-14T21:28:47.8301846Z 
2025-08-14T21:28:47.8301939Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8302122Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8302182Z     return mod(*inputs)
2025-08-14T21:28:47.8302350Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8302421Z     x = self.blocks(x)
2025-08-14T21:28:47.8302587Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-14T21:28:47.8302655Z     out = self.block(x)
2025-08-14T21:28:47.8302821Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-08-14T21:28:47.8302909Z     out = self.net(x)
2025-08-14T21:28:47.8302912Z 
2025-08-14T21:28:47.8302998Z cudagraph partition due to non gpu ops
2025-08-14T21:28:47.8303091Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8303275Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8303344Z     return mod(*inputs)
2025-08-14T21:28:47.8303512Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-08-14T21:28:47.8303578Z     x = self.blocks(x)
2025-08-14T21:28:47.8303741Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-08-14T21:28:47.8303800Z     out = self.block(x)
2025-08-14T21:28:47.8303971Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 33, in forward
2025-08-14T21:28:47.8304037Z     out = torch.cat([out, x], dim=1)
2025-08-14T21:28:47.8304040Z 
2025-08-14T21:28:47.8304111Z cudagraph partition due to non gpu ops
2025-08-14T21:28:47.8304216Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:28:47.8304395Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:28:47.8304491Z     return mod(*inputs)
2025-08-14T21:28:47.8304660Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 167, in forward
2025-08-14T21:28:47.8304727Z     x = self.output_net(x)
2025-08-14T21:28:47.8304730Z 
2025-08-14T21:28:47.8304808Z cudagraph partition due to non gpu ops
2025-08-14T21:28:47.8304879Z cudagraph partition due to non gpu ops
2025-08-14T21:29:12.6973489Z 
2025-08-14T21:29:12.8002958Z running benchmark:   0% 0/50 [00:00<?, ?it/s]
2025-08-14T21:29:12.9330506Z running benchmark:   6% 3/50 [00:00<00:01, 29.03it/s]
2025-08-14T21:29:13.0654064Z running benchmark:  14% 7/50 [00:00<00:01, 29.74it/s]
2025-08-14T21:29:13.1967078Z running benchmark:  22% 11/50 [00:00<00:01, 29.97it/s]
2025-08-14T21:29:13.3349880Z running benchmark:  30% 15/50 [00:00<00:01, 30.16it/s]
2025-08-14T21:29:13.4657500Z running benchmark:  38% 19/50 [00:00<00:01, 29.70it/s]
2025-08-14T21:29:13.5962304Z running benchmark:  46% 23/50 [00:00<00:00, 30.00it/s]
2025-08-14T21:29:13.7264759Z running benchmark:  54% 27/50 [00:00<00:00, 30.21it/s]
2025-08-14T21:29:13.8577333Z running benchmark:  62% 31/50 [00:01<00:00, 30.37it/s]
2025-08-14T21:29:13.9900882Z running benchmark:  70% 35/50 [00:01<00:00, 30.40it/s]
2025-08-14T21:29:14.1209756Z running benchmark:  78% 39/50 [00:01<00:00, 30.35it/s]
2025-08-14T21:29:14.2513752Z running benchmark:  86% 43/50 [00:01<00:00, 30.41it/s]
2025-08-14T21:29:14.3506434Z running benchmark:  94% 47/50 [00:01<00:00, 30.49it/s]
2025-08-14T21:29:14.3506942Z running benchmark: 100% 50/50 [00:01<00:00, 30.23it/s]
2025-08-14T21:29:14.4444107Z 1.837x
2025-08-14T21:29:14.4444556Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T21:29:15.3600608Z + cat /var/lib/jenkins/workspace/test/test-reports/inductor_inference_phlippe_densenet_inductor_float32_static_cpu_smoketest.csv
2025-08-14T21:29:15.3620873Z 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
2025-08-14T21:29:15.3621676Z cpu,phlippe_densenet,128,1.837095,11.234263,30.410898,0.918360,172.078694,187.376026,186,1,0,0,0,0,1
2025-08-14T21:29:15.3622626Z + 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
2025-08-14T21:29:15.6314427Z phlippe_densenet                   1.837095
2025-08-14T21:29:15.6676581Z + IFS=,
2025-08-14T21:29:15.6676838Z + read -r -a model_cfg
2025-08-14T21:29:15.6677086Z + local model_name=basic_gnn_edgecnn
2025-08-14T21:29:15.6677325Z + local data_type=float32
2025-08-14T21:29:15.6677532Z + local speedup_target=1.30092957
2025-08-14T21:29:15.6678082Z + local backend=inductor
2025-08-14T21:29:15.6678349Z + [[ default == \c\p\p ]]
2025-08-14T21:29:15.6678587Z + unset TORCHINDUCTOR_CPP_WRAPPER
2025-08-14T21:29:15.6679202Z + local output_name=/var/lib/jenkins/workspace/test/test-reports/inductor_inference_basic_gnn_edgecnn_inductor_float32_dynamic_cpu_smoketest.csv
2025-08-14T21:29:15.6679751Z + [[ dynamic == \d\y\n\a\m\i\c ]]
2025-08-14T21:29:15.6680813Z + 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
2025-08-14T21:29:17.7287597Z 
2025-08-14T21:29:18.8784011Z loading model: 0it [00:00, ?it/s]
2025-08-14T21:29:18.8784429Z loading model: 0it [00:01, ?it/s]
2025-08-14T21:29:18.8785112Z cpu  eval  basic_gnn_edgecnn                  
2025-08-14T21:29:20.3400566Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:29:20.3401089Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:29:20.3401841Z     return mod(*inputs)
2025-08-14T21:29:20.3402265Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-14T21:29:20.3402669Z     x = self.convs[i](x, edge_index)
2025-08-14T21:29:20.3402936Z   File "/tmp/jenkins_pyg/tmpc1pxtp1w.py", line 233, in forward
2025-08-14T21:29:20.3403227Z     return self.propagate(edge_index, x=x, size=None)
2025-08-14T21:29:20.3403517Z   File "/tmp/jenkins_pyg/tmpc1pxtp1w.py", line 192, in propagate
2025-08-14T21:29:20.3403873Z     out = self.aggregate(out, ptr=kwargs.ptr, index=kwargs.index, dim_size=kwargs.dim_size)
2025-08-14T21:29:20.3404343Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-08-14T21:29:20.3404779Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-08-14T21:29:20.3405163Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-08-14T21:29:20.3405551Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-08-14T21:29:20.3405927Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/basic.py", line 48, in forward
2025-08-14T21:29:20.3406311Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='max')
2025-08-14T21:29:20.3406679Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-08-14T21:29:20.3407028Z     return scatter(x, index, dim, dim_size, reduce)
2025-08-14T21:29:20.3407375Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/utils/scatter.py", line 98, in scatter
2025-08-14T21:29:20.3407715Z     return src.new_zeros(size).scatter_reduce_(
2025-08-14T21:29:20.3407861Z 
2025-08-14T21:29:20.3407967Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:29:20.3408361Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:29:20.3408683Z     return mod(*inputs)
2025-08-14T21:29:20.3409008Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-14T21:29:20.3409358Z     x = self.convs[i](x, edge_index)
2025-08-14T21:29:20.3409583Z   File "/tmp/jenkins_pyg/tmpw5qbkjs9.py", line 233, in forward
2025-08-14T21:29:20.3409834Z     return self.propagate(edge_index, x=x, size=None)
2025-08-14T21:29:20.3410094Z   File "/tmp/jenkins_pyg/tmpw5qbkjs9.py", line 192, in propagate
2025-08-14T21:29:20.3410411Z     out = self.aggregate(out, ptr=kwargs.ptr, index=kwargs.index, dim_size=kwargs.dim_size)
2025-08-14T21:29:20.3410874Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-08-14T21:29:20.3411453Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-08-14T21:29:20.3411871Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-08-14T21:29:20.3412283Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-08-14T21:29:20.3412677Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/basic.py", line 48, in forward
2025-08-14T21:29:20.3413078Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='max')
2025-08-14T21:29:20.3413489Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-08-14T21:29:20.3413867Z     return scatter(x, index, dim, dim_size, reduce)
2025-08-14T21:29:20.3414250Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/utils/scatter.py", line 98, in scatter
2025-08-14T21:29:20.3414619Z     return src.new_zeros(size).scatter_reduce_(
2025-08-14T21:29:20.3414761Z 
2025-08-14T21:29:20.3414863Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:29:20.3415224Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:29:20.3415600Z     return mod(*inputs)
2025-08-14T21:29:20.3415935Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-14T21:29:20.3416300Z     x = self.convs[i](x, edge_index)
2025-08-14T21:29:20.3416533Z   File "/tmp/jenkins_pyg/tmpn8l2si9j.py", line 233, in forward
2025-08-14T21:29:20.3416798Z     return self.propagate(edge_index, x=x, size=None)
2025-08-14T21:29:20.3417065Z   File "/tmp/jenkins_pyg/tmpn8l2si9j.py", line 192, in propagate
2025-08-14T21:29:20.3417411Z     out = self.aggregate(out, ptr=kwargs.ptr, index=kwargs.index, dim_size=kwargs.dim_size)
2025-08-14T21:29:20.3417908Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-08-14T21:29:20.3418336Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-08-14T21:29:20.3418706Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-08-14T21:29:20.3419087Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-08-14T21:29:20.3419451Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/basic.py", line 48, in forward
2025-08-14T21:29:20.3419820Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='max')
2025-08-14T21:29:20.3420175Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-08-14T21:29:20.3420518Z     return scatter(x, index, dim, dim_size, reduce)
2025-08-14T21:29:20.3420858Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/utils/scatter.py", line 98, in scatter
2025-08-14T21:29:20.3421195Z     return src.new_zeros(size).scatter_reduce_(
2025-08-14T21:29:20.3421339Z 
2025-08-14T21:29:20.3421434Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:29:20.3421775Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:29:20.3422083Z     return mod(*inputs)
2025-08-14T21:29:20.3422392Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-14T21:29:20.3422737Z     x = self.convs[i](x, edge_index)
2025-08-14T21:29:20.3422966Z   File "/tmp/jenkins_pyg/tmpc1pxtp1w.py", line 233, in forward
2025-08-14T21:29:20.3423208Z     return self.propagate(edge_index, x=x, size=None)
2025-08-14T21:29:20.3423466Z   File "/tmp/jenkins_pyg/tmpc1pxtp1w.py", line 191, in propagate
2025-08-14T21:29:20.3423724Z     out = self.message(x_j=kwargs.x_j, x_i=kwargs.x_i)
2025-08-14T21:29:20.3424121Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-08-14T21:29:20.3424479Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-08-14T21:29:20.3424632Z 
2025-08-14T21:29:20.3424708Z cudagraph partition due to non gpu ops
2025-08-14T21:29:20.3424932Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:29:20.3425255Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:29:20.3425558Z     return mod(*inputs)
2025-08-14T21:29:20.3425867Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-14T21:29:20.3426203Z     x = self.convs[i](x, edge_index)
2025-08-14T21:29:20.3426418Z   File "/tmp/jenkins_pyg/tmpc1pxtp1w.py", line 233, in forward
2025-08-14T21:29:20.3426664Z     return self.propagate(edge_index, x=x, size=None)
2025-08-14T21:29:20.3426912Z   File "/tmp/jenkins_pyg/tmpc1pxtp1w.py", line 191, in propagate
2025-08-14T21:29:20.3427156Z     out = self.message(x_j=kwargs.x_j, x_i=kwargs.x_i)
2025-08-14T21:29:20.3427510Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-08-14T21:29:20.3427898Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-08-14T21:29:20.3428262Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/mlp.py", line 211, in forward
2025-08-14T21:29:20.3428583Z     x = self.act(x)
2025-08-14T21:29:20.3428674Z 
2025-08-14T21:29:20.3428753Z cudagraph partition due to non gpu ops
2025-08-14T21:29:20.3428980Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:29:20.3429313Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:29:20.3429616Z     return mod(*inputs)
2025-08-14T21:29:20.3429922Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-14T21:29:20.3430268Z     x = self.convs[i](x, edge_index)
2025-08-14T21:29:20.3430501Z   File "/tmp/jenkins_pyg/tmpc1pxtp1w.py", line 233, in forward
2025-08-14T21:29:20.3430744Z     return self.propagate(edge_index, x=x, size=None)
2025-08-14T21:29:20.3431001Z   File "/tmp/jenkins_pyg/tmpc1pxtp1w.py", line 191, in propagate
2025-08-14T21:29:20.3431256Z     out = self.message(x_j=kwargs.x_j, x_i=kwargs.x_i)
2025-08-14T21:29:20.3431607Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-08-14T21:29:20.3431968Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-08-14T21:29:20.3432320Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/mlp.py", line 217, in forward
2025-08-14T21:29:20.3432653Z     x = self.lins[-1](x)
2025-08-14T21:29:20.3432961Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-08-14T21:29:20.3433317Z     return F.linear(x, self.weight, self.bias)
2025-08-14T21:29:20.3433456Z 
2025-08-14T21:29:20.3433545Z cudagraph partition due to non gpu ops
2025-08-14T21:29:20.3433771Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:29:20.3434102Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:29:20.3434415Z     return mod(*inputs)
2025-08-14T21:29:20.3434731Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-14T21:29:20.3435069Z     x = self.convs[i](x, edge_index)
2025-08-14T21:29:20.3435301Z   File "/tmp/jenkins_pyg/tmpw5qbkjs9.py", line 233, in forward
2025-08-14T21:29:20.3435550Z     return self.propagate(edge_index, x=x, size=None)
2025-08-14T21:29:20.3435796Z   File "/tmp/jenkins_pyg/tmpw5qbkjs9.py", line 191, in propagate
2025-08-14T21:29:20.3436050Z     out = self.message(x_j=kwargs.x_j, x_i=kwargs.x_i)
2025-08-14T21:29:20.3436472Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-08-14T21:29:20.3436826Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-08-14T21:29:20.3436966Z 
2025-08-14T21:29:20.3437042Z cudagraph partition due to non gpu ops
2025-08-14T21:29:20.3437266Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:29:20.3437596Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:29:20.3437892Z     return mod(*inputs)
2025-08-14T21:29:20.3438203Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-14T21:29:20.3438540Z     x = self.convs[i](x, edge_index)
2025-08-14T21:29:20.3438765Z   File "/tmp/jenkins_pyg/tmpw5qbkjs9.py", line 233, in forward
2025-08-14T21:29:20.3439003Z     return self.propagate(edge_index, x=x, size=None)
2025-08-14T21:29:20.3439253Z   File "/tmp/jenkins_pyg/tmpw5qbkjs9.py", line 191, in propagate
2025-08-14T21:29:20.3439506Z     out = self.message(x_j=kwargs.x_j, x_i=kwargs.x_i)
2025-08-14T21:29:20.3439852Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-08-14T21:29:20.3440239Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-08-14T21:29:20.3440585Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/mlp.py", line 211, in forward
2025-08-14T21:29:20.3440903Z     x = self.act(x)
2025-08-14T21:29:20.3440990Z 
2025-08-14T21:29:20.3441062Z cudagraph partition due to non gpu ops
2025-08-14T21:29:20.3441284Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:29:20.3441613Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:29:20.3441906Z     return mod(*inputs)
2025-08-14T21:29:20.3442217Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-14T21:29:20.3442603Z     x = self.convs[i](x, edge_index)
2025-08-14T21:29:20.3442913Z   File "/tmp/jenkins_pyg/tmpw5qbkjs9.py", line 233, in forward
2025-08-14T21:29:20.3443189Z     return self.propagate(edge_index, x=x, size=None)
2025-08-14T21:29:20.3443481Z   File "/tmp/jenkins_pyg/tmpw5qbkjs9.py", line 191, in propagate
2025-08-14T21:29:20.3443764Z     out = self.message(x_j=kwargs.x_j, x_i=kwargs.x_i)
2025-08-14T21:29:20.3444173Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-08-14T21:29:20.3444603Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-08-14T21:29:20.3445022Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/mlp.py", line 217, in forward
2025-08-14T21:29:20.3445407Z     x = self.lins[-1](x)
2025-08-14T21:29:20.3445763Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-08-14T21:29:20.3446177Z     return F.linear(x, self.weight, self.bias)
2025-08-14T21:29:20.3446335Z 
2025-08-14T21:29:20.3446433Z cudagraph partition due to non gpu ops
2025-08-14T21:29:20.3446693Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:29:20.3447078Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:29:20.3447436Z     return mod(*inputs)
2025-08-14T21:29:20.3447807Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-14T21:29:20.3448207Z     x = self.convs[i](x, edge_index)
2025-08-14T21:29:20.3448473Z   File "/tmp/jenkins_pyg/tmpn8l2si9j.py", line 233, in forward
2025-08-14T21:29:20.3448766Z     return self.propagate(edge_index, x=x, size=None)
2025-08-14T21:29:20.3449052Z   File "/tmp/jenkins_pyg/tmpn8l2si9j.py", line 191, in propagate
2025-08-14T21:29:20.3449344Z     out = self.message(x_j=kwargs.x_j, x_i=kwargs.x_i)
2025-08-14T21:29:20.3449826Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-08-14T21:29:20.3450255Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-08-14T21:29:20.3450424Z 
2025-08-14T21:29:20.3450510Z cudagraph partition due to non gpu ops
2025-08-14T21:29:20.3450773Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:29:20.3451166Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:29:20.3451513Z     return mod(*inputs)
2025-08-14T21:29:20.3451880Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-14T21:29:20.3452285Z     x = self.convs[i](x, edge_index)
2025-08-14T21:29:20.3452551Z   File "/tmp/jenkins_pyg/tmpn8l2si9j.py", line 233, in forward
2025-08-14T21:29:20.3452834Z     return self.propagate(edge_index, x=x, size=None)
2025-08-14T21:29:20.3453131Z   File "/tmp/jenkins_pyg/tmpn8l2si9j.py", line 191, in propagate
2025-08-14T21:29:20.3453425Z     out = self.message(x_j=kwargs.x_j, x_i=kwargs.x_i)
2025-08-14T21:29:20.3453837Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-08-14T21:29:20.3454258Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-08-14T21:29:20.3457093Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/mlp.py", line 211, in forward
2025-08-14T21:29:20.3457471Z     x = self.act(x)
2025-08-14T21:29:20.3457576Z 
2025-08-14T21:29:20.3457663Z cudagraph partition due to non gpu ops
2025-08-14T21:29:20.3457927Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:29:20.3458320Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:29:20.3458669Z     return mod(*inputs)
2025-08-14T21:29:20.3459035Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-14T21:29:20.3459439Z     x = self.convs[i](x, edge_index)
2025-08-14T21:29:20.3459703Z   File "/tmp/jenkins_pyg/tmpn8l2si9j.py", line 233, in forward
2025-08-14T21:29:20.3459986Z     return self.propagate(edge_index, x=x, size=None)
2025-08-14T21:29:20.3460283Z   File "/tmp/jenkins_pyg/tmpn8l2si9j.py", line 191, in propagate
2025-08-14T21:29:20.3460574Z     out = self.message(x_j=kwargs.x_j, x_i=kwargs.x_i)
2025-08-14T21:29:20.3460973Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-08-14T21:29:20.3461402Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-08-14T21:29:20.3461808Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/mlp.py", line 217, in forward
2025-08-14T21:29:20.3462187Z     x = self.lins[-1](x)
2025-08-14T21:29:20.3462538Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-08-14T21:29:20.3462943Z     return F.linear(x, self.weight, self.bias)
2025-08-14T21:29:20.3463101Z 
2025-08-14T21:29:20.3463200Z cudagraph partition due to non gpu ops
2025-08-14T21:29:26.9655017Z 
2025-08-14T21:29:27.0836216Z running benchmark:   0% 0/50 [00:00<?, ?it/s]
2025-08-14T21:29:27.1944494Z running benchmark:   8% 4/50 [00:00<00:01, 33.77it/s]
2025-08-14T21:29:27.3058597Z running benchmark:  16% 8/50 [00:00<00:01, 35.08it/s]
2025-08-14T21:29:27.4166158Z running benchmark:  24% 12/50 [00:00<00:01, 35.45it/s]
2025-08-14T21:29:27.5275246Z running benchmark:  32% 16/50 [00:00<00:00, 35.71it/s]
2025-08-14T21:29:27.6392978Z running benchmark:  40% 20/50 [00:00<00:00, 35.84it/s]
2025-08-14T21:29:27.7512483Z running benchmark:  48% 24/50 [00:00<00:00, 35.82it/s]
2025-08-14T21:29:27.8631417Z running benchmark:  56% 28/50 [00:00<00:00, 35.79it/s]
2025-08-14T21:29:27.9798314Z running benchmark:  64% 32/50 [00:00<00:00, 35.78it/s]
2025-08-14T21:29:28.0925845Z running benchmark:  72% 36/50 [00:01<00:00, 35.30it/s]
2025-08-14T21:29:28.2044178Z running benchmark:  80% 40/50 [00:01<00:00, 35.35it/s]
2025-08-14T21:29:28.3162623Z running benchmark:  88% 44/50 [00:01<00:00, 35.48it/s]
2025-08-14T21:29:28.3724661Z running benchmark:  96% 48/50 [00:01<00:00, 35.57it/s]
2025-08-14T21:29:28.3725137Z running benchmark: 100% 50/50 [00:01<00:00, 35.53it/s]
2025-08-14T21:29:28.4284694Z 1.388x
2025-08-14T21:29:28.4285144Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T21:29:29.2550241Z + cat /var/lib/jenkins/workspace/test/test-reports/inductor_inference_basic_gnn_edgecnn_inductor_float32_dynamic_cpu_smoketest.csv
2025-08-14T21:29:29.2565755Z 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
2025-08-14T21:29:29.2566479Z cpu,basic_gnn_edgecnn,1,1.388262,11.495091,7.663186,0.950492,132.183654,139.068621,55,1,0,0,0,0,1
2025-08-14T21:29:29.2568004Z + 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
2025-08-14T21:29:29.5210304Z basic_gnn_edgecnn                  1.388262
2025-08-14T21:29:29.5560950Z + IFS=,
2025-08-14T21:29:29.5561169Z + read -r -a model_cfg
2025-08-14T21:29:29.5561400Z + local model_name=llama_v2_7b_16h
2025-08-14T21:29:29.5561637Z + local data_type=float32
2025-08-14T21:29:29.5561855Z + local speedup_target=1.23234331
2025-08-14T21:29:29.5562078Z + local backend=inductor
2025-08-14T21:29:29.5562273Z + [[ default == \c\p\p ]]
2025-08-14T21:29:29.5562482Z + unset TORCHINDUCTOR_CPP_WRAPPER
2025-08-14T21:29:29.5562990Z + local output_name=/var/lib/jenkins/workspace/test/test-reports/inductor_inference_llama_v2_7b_16h_inductor_float32_dynamic_cpu_smoketest.csv
2025-08-14T21:29:29.5563483Z + [[ dynamic == \d\y\n\a\m\i\c ]]
2025-08-14T21:29:29.5564452Z + 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
2025-08-14T21:29:31.5973011Z 
2025-08-14T21:30:00.7757398Z loading model: 0it [00:00, ?it/s]
2025-08-14T21:30:00.7757726Z loading model: 0it [00:29, ?it/s]
2025-08-14T21:30:00.7768306Z cpu  eval  llama_v2_7b_16h                    
2025-08-14T21:30:07.7918282Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:07.7918794Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 363, in forward
2025-08-14T21:30:07.7919224Z     inputs_embeds: torch.Tensor = self.embed_tokens(input_ids)
2025-08-14T21:30:07.7919407Z 
2025-08-14T21:30:25.6600736Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.6601338Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 387, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.6601843Z     position_embeddings = self.rotary_emb(hidden_states, position_ids)
2025-08-14T21:30:25.6602273Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_contextlib.py", line 120, in decorate_context
2025-08-14T21:30:25.6602624Z     return func(*args, **kwargs)
2025-08-14T21:30:25.6602960Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_rope_utils.py", line 87, in wrapper
2025-08-14T21:30:25.6603319Z     return rope_forward(self, x, position_ids)
2025-08-14T21:30:25.6603696Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 98, in forward
2025-08-14T21:30:25.6604133Z     freqs = (inv_freq_expanded.float() @ position_ids_expanded.float()).transpose(1, 2)
2025-08-14T21:30:25.6604349Z 
2025-08-14T21:30:25.6604433Z cudagraph partition due to non gpu ops
2025-08-14T21:30:25.6604657Z cudagraph partition due to non gpu ops
2025-08-14T21:30:25.6606381Z cudagraph partition due to non gpu ops
2025-08-14T21:30:25.6606599Z cudagraph partition due to non gpu ops
2025-08-14T21:30:25.6606814Z cudagraph partition due to non gpu ops
2025-08-14T21:30:25.6607133Z cudagraph partition due to non gpu ops
2025-08-14T21:30:25.6607328Z cudagraph partition due to non gpu ops
2025-08-14T21:30:25.6607525Z cudagraph partition due to non gpu ops
2025-08-14T21:30:25.6607722Z cudagraph partition due to non gpu ops
2025-08-14T21:30:25.6607922Z cudagraph partition due to non gpu ops
2025-08-14T21:30:25.6608112Z cudagraph partition due to non gpu ops
2025-08-14T21:30:25.6608342Z cudagraph partition due to non gpu ops
2025-08-14T21:30:25.6608528Z cudagraph partition due to non gpu ops
2025-08-14T21:30:25.6608727Z cudagraph partition due to non gpu ops
2025-08-14T21:30:25.6608927Z cudagraph partition due to non gpu ops
2025-08-14T21:30:25.6609114Z cudagraph partition due to non gpu ops
2025-08-14T21:30:25.6609346Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.6609816Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.6610365Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.6610703Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.6611056Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.6611453Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.6611823Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.6612199Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 232, in forward
2025-08-14T21:30:25.6612640Z     query_states = self.q_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-08-14T21:30:25.6612836Z 
2025-08-14T21:30:25.6612949Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.6613409Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 387, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.6613910Z     position_embeddings = self.rotary_emb(hidden_states, position_ids)
2025-08-14T21:30:25.6614324Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_contextlib.py", line 120, in decorate_context
2025-08-14T21:30:25.6614670Z     return func(*args, **kwargs)
2025-08-14T21:30:25.6615007Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_rope_utils.py", line 87, in wrapper
2025-08-14T21:30:25.6615367Z     return rope_forward(self, x, position_ids)
2025-08-14T21:30:25.6615762Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 98, in forward
2025-08-14T21:30:25.6616215Z     freqs = (inv_freq_expanded.float() @ position_ids_expanded.float()).transpose(1, 2)
2025-08-14T21:30:25.6616423Z 
2025-08-14T21:30:25.6616530Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.6616997Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.6617434Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.6617764Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.6618119Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.6618496Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.6618867Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.6619228Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-14T21:30:25.6621122Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-14T21:30:25.6621626Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 135, in apply_rotary_pos_emb
2025-08-14T21:30:25.6622055Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-08-14T21:30:25.6622443Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-14T21:30:25.6622831Z     return torch.cat((-x2, x1), dim=-1)
2025-08-14T21:30:25.6622960Z 
2025-08-14T21:30:25.6623046Z cudagraph partition due to non gpu ops
2025-08-14T21:30:25.6623280Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.6623736Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.6624170Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.6624505Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.6624855Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.6625282Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.6625664Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.6626039Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-14T21:30:25.6626480Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-14T21:30:25.6626981Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 135, in apply_rotary_pos_emb
2025-08-14T21:30:25.6627406Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-08-14T21:30:25.6627809Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-14T21:30:25.6628188Z     return torch.cat((-x2, x1), dim=-1)
2025-08-14T21:30:25.6628320Z 
2025-08-14T21:30:25.6628420Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.6628885Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.6629317Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.6629644Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.6630001Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.6630379Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.6630743Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.6631115Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 233, in forward
2025-08-14T21:30:25.6631556Z     key_states = self.k_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-08-14T21:30:25.6631747Z 
2025-08-14T21:30:25.6631856Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.6632309Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.6632750Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.6633085Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.6633431Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.6633804Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.6634179Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.6634578Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-14T21:30:25.6635018Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-14T21:30:25.6635511Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 136, in apply_rotary_pos_emb
2025-08-14T21:30:25.6635928Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-08-14T21:30:25.6636313Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-14T21:30:25.6636687Z     return torch.cat((-x2, x1), dim=-1)
2025-08-14T21:30:25.6636817Z 
2025-08-14T21:30:25.6636892Z cudagraph partition due to non gpu ops
2025-08-14T21:30:25.6637122Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.6637582Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.6638005Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.6638335Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.6638715Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.6639079Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.6639473Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.6639835Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-14T21:30:25.6640286Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-14T21:30:25.6640767Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 136, in apply_rotary_pos_emb
2025-08-14T21:30:25.6641186Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-08-14T21:30:25.6641573Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-14T21:30:25.6641953Z     return torch.cat((-x2, x1), dim=-1)
2025-08-14T21:30:25.6642077Z 
2025-08-14T21:30:25.6642176Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.6642636Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.6643066Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.6643399Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.6643734Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.6644111Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.6644483Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.6644848Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-14T21:30:25.6645302Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-14T21:30:25.6645784Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 136, in apply_rotary_pos_emb
2025-08-14T21:30:25.6646201Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-08-14T21:30:25.6646332Z 
2025-08-14T21:30:25.6646432Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.6646895Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.6647322Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.6647763Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.6648102Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.6648483Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.6648857Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.6649212Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 234, in forward
2025-08-14T21:30:25.6649652Z     value_states = self.v_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-08-14T21:30:25.6649849Z 
2025-08-14T21:30:25.6649926Z cudagraph partition due to non gpu ops
2025-08-14T21:30:25.6650130Z cudagraph partition due to non gpu ops
2025-08-14T21:30:25.6650322Z cudagraph partition due to non gpu ops
2025-08-14T21:30:25.6650523Z cudagraph partition due to non gpu ops
2025-08-14T21:30:25.6650758Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.6651207Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.6651650Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.6652038Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.6652395Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.6652759Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.6653134Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.6653501Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 248, in forward
2025-08-14T21:30:25.6653906Z     attn_output, attn_weights = attention_interface(
2025-08-14T21:30:25.6654335Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T21:30:25.6654801Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T21:30:25.6654979Z 
2025-08-14T21:30:25.6655107Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.6655566Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.6655998Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.6656333Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.6656694Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.6657071Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.6657441Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.6657813Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 248, in forward
2025-08-14T21:30:25.6658213Z     attn_output, attn_weights = attention_interface(
2025-08-14T21:30:25.6658646Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T21:30:25.6659098Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T21:30:25.6659253Z 
2025-08-14T21:30:25.6659359Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.6659822Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.6660257Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.6660594Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.6660945Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.6661346Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.6661717Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.6662086Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 260, in forward
2025-08-14T21:30:25.6662470Z     attn_output = self.o_proj(attn_output)
2025-08-14T21:30:25.6662602Z 
2025-08-14T21:30:25.6662700Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.6663149Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.6663580Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.6663911Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.6664247Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.6664627Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-14T21:30:25.6665004Z     hidden_states = self.mlp(hidden_states)
2025-08-14T21:30:25.6665425Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-14T21:30:25.6665862Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-14T21:30:25.6666063Z 
2025-08-14T21:30:25.6666164Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.6666624Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.6667055Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.6667391Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.6667739Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.6668124Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-14T21:30:25.6668506Z     hidden_states = self.mlp(hidden_states)
2025-08-14T21:30:25.6668884Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-14T21:30:25.6669325Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-14T21:30:25.6669517Z 
2025-08-14T21:30:25.6669829Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.6670287Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.6670719Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.6671057Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.6671407Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.6671785Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-14T21:30:25.6672174Z     hidden_states = self.mlp(hidden_states)
2025-08-14T21:30:25.6672556Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-14T21:30:25.6672995Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-14T21:30:25.6673196Z 
2025-08-14T21:30:25.6673297Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.6673769Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.6674212Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.6674629Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.6674992Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.6675378Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-14T21:30:25.6675780Z     hidden_states = self.mlp(hidden_states)
2025-08-14T21:30:25.6676164Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-14T21:30:25.6676620Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-14T21:30:25.6676818Z 
2025-08-14T21:30:25.6676929Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.6677400Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.6677850Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.6678199Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.6678559Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.6678985Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.6679368Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.6679741Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 232, in forward
2025-08-14T21:30:25.6680185Z     query_states = self.q_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-08-14T21:30:25.6680376Z 
2025-08-14T21:30:25.6680476Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.6680940Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.6681382Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.6681714Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.6682067Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.6682449Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.6682826Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.6683193Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-14T21:30:25.6683653Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-14T21:30:25.6684153Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 135, in apply_rotary_pos_emb
2025-08-14T21:30:25.6684579Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-08-14T21:30:25.6684975Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-14T21:30:25.6685372Z     return torch.cat((-x2, x1), dim=-1)
2025-08-14T21:30:25.6685500Z 
2025-08-14T21:30:25.6685591Z cudagraph partition due to non gpu ops
2025-08-14T21:30:25.6685817Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.6686285Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.6686730Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.6687066Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.6687409Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.6687788Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.6688164Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.6688573Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-14T21:30:25.6689025Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-14T21:30:25.6689526Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 135, in apply_rotary_pos_emb
2025-08-14T21:30:25.6689954Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-08-14T21:30:25.6690353Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-14T21:30:25.6690738Z     return torch.cat((-x2, x1), dim=-1)
2025-08-14T21:30:25.6690874Z 
2025-08-14T21:30:25.6690976Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.6691449Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.6691885Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.6692226Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.6692608Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.6692991Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.6693360Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.6693738Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 233, in forward
2025-08-14T21:30:25.6694181Z     key_states = self.k_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-08-14T21:30:25.6694374Z 
2025-08-14T21:30:25.6694484Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.6694945Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.6695388Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.6695726Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.6696070Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.6696454Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.6696833Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.6697204Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-14T21:30:25.6697654Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-14T21:30:25.6698153Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 136, in apply_rotary_pos_emb
2025-08-14T21:30:25.6698578Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-08-14T21:30:25.6698979Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-14T21:30:25.6699368Z     return torch.cat((-x2, x1), dim=-1)
2025-08-14T21:30:25.6699503Z 
2025-08-14T21:30:25.6699581Z cudagraph partition due to non gpu ops
2025-08-14T21:30:25.6699814Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.6700274Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.6700718Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.6701056Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.6701411Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.6701831Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.6702208Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.6702588Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-14T21:30:25.6703047Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-14T21:30:25.6703533Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 136, in apply_rotary_pos_emb
2025-08-14T21:30:25.6703953Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-08-14T21:30:25.6704352Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-14T21:30:25.6704728Z     return torch.cat((-x2, x1), dim=-1)
2025-08-14T21:30:25.6704862Z 
2025-08-14T21:30:25.6704964Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.6705437Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.6705878Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.6706245Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.6706592Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.6706973Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.6707345Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.6707714Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-14T21:30:25.6708171Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-14T21:30:25.6708665Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 136, in apply_rotary_pos_emb
2025-08-14T21:30:25.6709087Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-08-14T21:30:25.6709224Z 
2025-08-14T21:30:25.6709330Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.6709793Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.6710241Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.6710562Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.6710904Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.6711274Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.6711643Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.6712006Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 234, in forward
2025-08-14T21:30:25.6712438Z     value_states = self.v_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-08-14T21:30:25.6712631Z 
2025-08-14T21:30:25.6712712Z cudagraph partition due to non gpu ops
2025-08-14T21:30:25.6712915Z cudagraph partition due to non gpu ops
2025-08-14T21:30:25.6713107Z cudagraph partition due to non gpu ops
2025-08-14T21:30:25.6713303Z cudagraph partition due to non gpu ops
2025-08-14T21:30:25.6713526Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.6713973Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.6714406Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.6714737Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.6715104Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.6715472Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.6715848Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.6716219Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 248, in forward
2025-08-14T21:30:25.6716612Z     attn_output, attn_weights = attention_interface(
2025-08-14T21:30:25.6717044Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T21:30:25.6717510Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T21:30:25.6717689Z 
2025-08-14T21:30:25.6717799Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.6718253Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.6718694Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.6719033Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.6719416Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.6719780Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.6720144Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.6720514Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 248, in forward
2025-08-14T21:30:25.6720896Z     attn_output, attn_weights = attention_interface(
2025-08-14T21:30:25.6721320Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T21:30:25.6721761Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T21:30:25.6721921Z 
2025-08-14T21:30:25.6722028Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.6722475Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.6722914Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.6723243Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.6723590Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.6723953Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.6724326Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.6724692Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 260, in forward
2025-08-14T21:30:25.6725062Z     attn_output = self.o_proj(attn_output)
2025-08-14T21:30:25.6725199Z 
2025-08-14T21:30:25.6725297Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.6725748Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.6726180Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.6726501Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.6726849Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.6727223Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-14T21:30:25.6727597Z     hidden_states = self.mlp(hidden_states)
2025-08-14T21:30:25.6727964Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-14T21:30:25.6728433Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-14T21:30:25.6728623Z 
2025-08-14T21:30:25.6728727Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.6729186Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.6729607Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.6729939Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.6730289Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.6730654Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-14T21:30:25.6731033Z     hidden_states = self.mlp(hidden_states)
2025-08-14T21:30:25.6731405Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-14T21:30:25.6731840Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-14T21:30:25.6732027Z 
2025-08-14T21:30:25.6732124Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.6732610Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.6733043Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.6733374Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.6733714Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.6734087Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-14T21:30:25.6734462Z     hidden_states = self.mlp(hidden_states)
2025-08-14T21:30:25.6734827Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-14T21:30:25.6735261Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-14T21:30:25.6735457Z 
2025-08-14T21:30:25.6735559Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.6736016Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.6736442Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.6736774Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.6737124Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.6737492Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-14T21:30:25.6737859Z     hidden_states = self.mlp(hidden_states)
2025-08-14T21:30:25.6738234Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-14T21:30:25.6738667Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-14T21:30:25.6738857Z 
2025-08-14T21:30:25.6738962Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.6739416Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.6739854Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.6740186Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.6740524Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.6740895Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 305, in forward
2025-08-14T21:30:25.6741273Z     hidden_states = residual + hidden_states
2025-08-14T21:30:25.6741401Z 
2025-08-14T21:30:25.6741533Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.6741980Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.6742421Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.6742752Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.6743093Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.6743456Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.6743825Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.6744189Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 232, in forward
2025-08-14T21:30:25.6744617Z     query_states = self.q_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-08-14T21:30:25.6744814Z 
2025-08-14T21:30:25.6744913Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.6745371Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.6745829Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.6746153Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.6746499Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.6746867Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.6747233Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.6747586Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-14T21:30:25.6748036Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-14T21:30:25.6748519Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 135, in apply_rotary_pos_emb
2025-08-14T21:30:25.6748939Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-08-14T21:30:25.6749320Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-14T21:30:25.6749695Z     return torch.cat((-x2, x1), dim=-1)
2025-08-14T21:30:25.6749819Z 
2025-08-14T21:30:25.6749903Z cudagraph partition due to non gpu ops
2025-08-14T21:30:25.6750123Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.6750576Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.6751007Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.6751342Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.6751678Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.6752049Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.6752416Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.6752774Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-14T21:30:25.6753218Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-14T21:30:25.6753698Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 135, in apply_rotary_pos_emb
2025-08-14T21:30:25.6754106Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-08-14T21:30:25.6754521Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-14T21:30:25.6754904Z     return torch.cat((-x2, x1), dim=-1)
2025-08-14T21:30:25.6755037Z 
2025-08-14T21:30:25.6755138Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.6755601Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.6756030Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.6756367Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.6756714Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.6757088Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.6757450Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.6757821Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 233, in forward
2025-08-14T21:30:25.6758250Z     key_states = self.k_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-08-14T21:30:25.6758461Z 
2025-08-14T21:30:25.6758558Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.6759015Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.6759441Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.6759770Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.6760104Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.6760473Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.6760840Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.6761206Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-14T21:30:25.6761644Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-14T21:30:25.6762128Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 136, in apply_rotary_pos_emb
2025-08-14T21:30:25.6762542Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-08-14T21:30:25.6762921Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-14T21:30:25.6763301Z     return torch.cat((-x2, x1), dim=-1)
2025-08-14T21:30:25.6763432Z 
2025-08-14T21:30:25.6763506Z cudagraph partition due to non gpu ops
2025-08-14T21:30:25.6763734Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.6764183Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.6764618Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.6764950Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.6765297Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.6765660Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.6766029Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.6766390Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-14T21:30:25.6767290Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-14T21:30:25.6767764Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 136, in apply_rotary_pos_emb
2025-08-14T21:30:25.6768216Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-08-14T21:30:25.6768605Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-14T21:30:25.6768978Z     return torch.cat((-x2, x1), dim=-1)
2025-08-14T21:30:25.6769110Z 
2025-08-14T21:30:25.6769210Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.6769713Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.6770152Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.6770477Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.6770825Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.6771202Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.6771576Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.6771937Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-14T21:30:25.6772452Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-14T21:30:25.6772930Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 136, in apply_rotary_pos_emb
2025-08-14T21:30:25.6773333Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-08-14T21:30:25.6773477Z 
2025-08-14T21:30:25.6773577Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.6774033Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.6774462Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.6774790Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.6775139Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.6775514Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.6775888Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.6776249Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 234, in forward
2025-08-14T21:30:25.6776687Z     value_states = self.v_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-08-14T21:30:25.6776878Z 
2025-08-14T21:30:25.6776965Z cudagraph partition due to non gpu ops
2025-08-14T21:30:25.6777161Z cudagraph partition due to non gpu ops
2025-08-14T21:30:25.6777361Z cudagraph partition due to non gpu ops
2025-08-14T21:30:25.6777555Z cudagraph partition due to non gpu ops
2025-08-14T21:30:25.6777776Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.6778224Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.6778658Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.6778992Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.6779328Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.6779694Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.6780063Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.6780427Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 248, in forward
2025-08-14T21:30:25.6780806Z     attn_output, attn_weights = attention_interface(
2025-08-14T21:30:25.6781280Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T21:30:25.6781739Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T21:30:25.6781913Z 
2025-08-14T21:30:25.6782022Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.6782468Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.6782897Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.6783228Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.6783563Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.6783933Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.6784302Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.6784666Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 248, in forward
2025-08-14T21:30:25.6785046Z     attn_output, attn_weights = attention_interface(
2025-08-14T21:30:25.6785467Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T21:30:25.6785933Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T21:30:25.6786084Z 
2025-08-14T21:30:25.6786190Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.6786636Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.6787066Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.6787395Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.6787742Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.6788108Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.6788477Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.6788849Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 260, in forward
2025-08-14T21:30:25.6789217Z     attn_output = self.o_proj(attn_output)
2025-08-14T21:30:25.6789353Z 
2025-08-14T21:30:25.6789448Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.6789902Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.6790337Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.6790662Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.6791007Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.6791381Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-14T21:30:25.6791761Z     hidden_states = self.mlp(hidden_states)
2025-08-14T21:30:25.6792134Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-14T21:30:25.6792567Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-14T21:30:25.6792757Z 
2025-08-14T21:30:25.6792862Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.6793308Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.6793740Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.6794072Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.6794416Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.6794806Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-14T21:30:25.6795184Z     hidden_states = self.mlp(hidden_states)
2025-08-14T21:30:25.6795555Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-14T21:30:25.6795982Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-14T21:30:25.6796166Z 
2025-08-14T21:30:25.6796263Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.6796719Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.6797148Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.6797469Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.6797815Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.6798183Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-14T21:30:25.6798603Z     hidden_states = self.mlp(hidden_states)
2025-08-14T21:30:25.6798970Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-14T21:30:25.6799402Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-14T21:30:25.6799598Z 
2025-08-14T21:30:25.6799695Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.6800153Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.6800576Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.6800909Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.6801253Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.6801626Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-14T21:30:25.6801996Z     hidden_states = self.mlp(hidden_states)
2025-08-14T21:30:25.6802370Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-14T21:30:25.6802801Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-14T21:30:25.6802987Z 
2025-08-14T21:30:25.6803086Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.6803542Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.6803971Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.6804304Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.6804645Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.6805018Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.6805388Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.6805756Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 232, in forward
2025-08-14T21:30:25.6806184Z     query_states = self.q_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-08-14T21:30:25.6806384Z 
2025-08-14T21:30:25.6806484Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.6806944Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.6807373Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.6807726Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.6808075Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.6808452Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.6808817Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.6809194Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-14T21:30:25.6809644Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-14T21:30:25.6810125Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 135, in apply_rotary_pos_emb
2025-08-14T21:30:25.6810538Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-08-14T21:30:25.6810929Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-14T21:30:25.6811313Z     return torch.cat((-x2, x1), dim=-1)
2025-08-14T21:30:25.6811436Z 
2025-08-14T21:30:25.6811553Z cudagraph partition due to non gpu ops
2025-08-14T21:30:25.6811772Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.6812238Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.6812681Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.6813006Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.6813354Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.6813728Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.6814095Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.6814455Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-14T21:30:25.6814904Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-14T21:30:25.6815394Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 135, in apply_rotary_pos_emb
2025-08-14T21:30:25.6815808Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-08-14T21:30:25.6816194Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-14T21:30:25.6816575Z     return torch.cat((-x2, x1), dim=-1)
2025-08-14T21:30:25.6816699Z 
2025-08-14T21:30:25.6816803Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.6817257Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.6817686Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.6818020Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.6818368Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.6818729Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.6819097Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.6819463Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 233, in forward
2025-08-14T21:30:25.6819892Z     key_states = self.k_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-08-14T21:30:25.6820078Z 
2025-08-14T21:30:25.6820179Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.6820666Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.6821097Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.6821419Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.6821765Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.6822134Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.6822497Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.6822855Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-14T21:30:25.6823301Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-14T21:30:25.6823785Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 136, in apply_rotary_pos_emb
2025-08-14T21:30:25.6824200Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-08-14T21:30:25.6824583Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-14T21:30:25.6824994Z     return torch.cat((-x2, x1), dim=-1)
2025-08-14T21:30:25.6825119Z 
2025-08-14T21:30:25.6825203Z cudagraph partition due to non gpu ops
2025-08-14T21:30:25.6825422Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.6825883Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.6826322Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.6826656Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.6826995Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.6827370Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.6827740Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.6828105Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-14T21:30:25.6828543Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-14T21:30:25.6829022Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 136, in apply_rotary_pos_emb
2025-08-14T21:30:25.6829438Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-08-14T21:30:25.6829818Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-14T21:30:25.6830196Z     return torch.cat((-x2, x1), dim=-1)
2025-08-14T21:30:25.6830324Z 
2025-08-14T21:30:25.6830424Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.6830884Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.6831308Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.6831645Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.6831988Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.6832359Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.6832715Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.6833079Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-14T21:30:25.6833520Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-14T21:30:25.6834028Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 136, in apply_rotary_pos_emb
2025-08-14T21:30:25.6834437Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-08-14T21:30:25.6834582Z 
2025-08-14T21:30:25.6834688Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.6835150Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.6835585Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.6835930Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.6836280Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.6836654Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.6837016Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.6837391Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 234, in forward
2025-08-14T21:30:25.6837834Z     value_states = self.v_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-08-14T21:30:25.6838051Z 
2025-08-14T21:30:25.6838131Z cudagraph partition due to non gpu ops
2025-08-14T21:30:25.6838326Z cudagraph partition due to non gpu ops
2025-08-14T21:30:25.6838525Z cudagraph partition due to non gpu ops
2025-08-14T21:30:25.6838722Z cudagraph partition due to non gpu ops
2025-08-14T21:30:25.6838936Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.6839399Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.6839837Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.6840170Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.6840510Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.6840879Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.6841247Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.6841604Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 248, in forward
2025-08-14T21:30:25.6841996Z     attn_output, attn_weights = attention_interface(
2025-08-14T21:30:25.6842422Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T21:30:25.6842884Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T21:30:25.6843060Z 
2025-08-14T21:30:25.6843158Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.6843622Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.6844055Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.6844393Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.6844733Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.6845109Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.6845476Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.6845832Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 248, in forward
2025-08-14T21:30:25.6846219Z     attn_output, attn_weights = attention_interface(
2025-08-14T21:30:25.6846641Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T21:30:25.6847075Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T21:30:25.6847254Z 
2025-08-14T21:30:25.6847353Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.6847813Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.6848249Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.6848583Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.6848921Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.6849293Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.6849664Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.6850021Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 260, in forward
2025-08-14T21:30:25.6850403Z     attn_output = self.o_proj(attn_output)
2025-08-14T21:30:25.6850544Z 
2025-08-14T21:30:25.6850643Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.6851100Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.6851561Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.6851888Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.6852229Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.6852594Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-14T21:30:25.6852958Z     hidden_states = self.mlp(hidden_states)
2025-08-14T21:30:25.6853331Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-14T21:30:25.6853769Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-14T21:30:25.6853957Z 
2025-08-14T21:30:25.6854062Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.6854508Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.6854935Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.6855262Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.6855595Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.6855961Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-14T21:30:25.6856334Z     hidden_states = self.mlp(hidden_states)
2025-08-14T21:30:25.6856705Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-14T21:30:25.6857132Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-14T21:30:25.6857329Z 
2025-08-14T21:30:25.6857426Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.6857884Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.6858312Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.6858636Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.6858984Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.6859350Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-14T21:30:25.6859715Z     hidden_states = self.mlp(hidden_states)
2025-08-14T21:30:25.6860169Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-14T21:30:25.6860591Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-14T21:30:25.6860774Z 
2025-08-14T21:30:25.6860886Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.6861323Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.6861748Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.6862076Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.6862415Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.6862770Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-14T21:30:25.6863144Z     hidden_states = self.mlp(hidden_states)
2025-08-14T21:30:25.6863516Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-14T21:30:25.6863937Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-14T21:30:25.6864161Z 
2025-08-14T21:30:25.6864259Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.6864703Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.6865120Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.6865433Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.6865769Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.6866128Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 305, in forward
2025-08-14T21:30:25.6866494Z     hidden_states = residual + hidden_states
2025-08-14T21:30:25.6866622Z 
2025-08-14T21:30:25.6866716Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.6867159Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.6867582Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.6867904Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.6868230Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.6868587Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.6868948Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.6869299Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 232, in forward
2025-08-14T21:30:25.6869776Z     query_states = self.q_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-08-14T21:30:25.6869973Z 
2025-08-14T21:30:25.6870070Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.6870522Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.6870958Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.6871280Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.6871617Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.6871980Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.6872336Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.6872697Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-14T21:30:25.6873195Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-14T21:30:25.6873666Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 135, in apply_rotary_pos_emb
2025-08-14T21:30:25.6874075Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-08-14T21:30:25.6874453Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-14T21:30:25.6874824Z     return torch.cat((-x2, x1), dim=-1)
2025-08-14T21:30:25.6874946Z 
2025-08-14T21:30:25.6875020Z cudagraph partition due to non gpu ops
2025-08-14T21:30:25.6875247Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.6875697Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.6876120Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.6876441Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.6876781Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.6877186Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.6877537Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.6877893Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-14T21:30:25.6878329Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-14T21:30:25.6878800Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 135, in apply_rotary_pos_emb
2025-08-14T21:30:25.6879195Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-08-14T21:30:25.6879576Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-14T21:30:25.6879946Z     return torch.cat((-x2, x1), dim=-1)
2025-08-14T21:30:25.6880065Z 
2025-08-14T21:30:25.6880170Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.6880607Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.6881029Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.6881354Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.6881686Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.6882037Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.6882397Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.6882754Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 233, in forward
2025-08-14T21:30:25.6883160Z     key_states = self.k_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-08-14T21:30:25.6883353Z 
2025-08-14T21:30:25.6883451Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.6883891Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.6884308Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.6884622Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.6884955Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.6885314Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.6885675Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.6886051Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-14T21:30:25.6886492Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-14T21:30:25.6886970Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 136, in apply_rotary_pos_emb
2025-08-14T21:30:25.6887366Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-08-14T21:30:25.6887747Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-14T21:30:25.6888115Z     return torch.cat((-x2, x1), dim=-1)
2025-08-14T21:30:25.6888237Z 
2025-08-14T21:30:25.6888317Z cudagraph partition due to non gpu ops
2025-08-14T21:30:25.6888534Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.6888983Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.6889403Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.6889726Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.6890082Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.6890444Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.6890798Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.6891145Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-14T21:30:25.6891581Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-14T21:30:25.6892050Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 136, in apply_rotary_pos_emb
2025-08-14T21:30:25.6892451Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-08-14T21:30:25.6892817Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-14T21:30:25.6893189Z     return torch.cat((-x2, x1), dim=-1)
2025-08-14T21:30:25.6893309Z 
2025-08-14T21:30:25.6893414Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.6893864Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.6894279Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.6894607Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.6894949Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.6895306Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.6895671Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.6896031Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-14T21:30:25.6896472Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-14T21:30:25.6896930Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 136, in apply_rotary_pos_emb
2025-08-14T21:30:25.6897330Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-08-14T21:30:25.6897467Z 
2025-08-14T21:30:25.6897563Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.6898010Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.6898422Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.6898789Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.6899133Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.6899504Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.6899870Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.6900239Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 234, in forward
2025-08-14T21:30:25.6900675Z     value_states = self.v_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-08-14T21:30:25.6900862Z 
2025-08-14T21:30:25.6900940Z cudagraph partition due to non gpu ops
2025-08-14T21:30:25.6901146Z cudagraph partition due to non gpu ops
2025-08-14T21:30:25.6901348Z cudagraph partition due to non gpu ops
2025-08-14T21:30:25.6901548Z cudagraph partition due to non gpu ops
2025-08-14T21:30:25.6901768Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.6902222Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.6902652Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.6903000Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.6903334Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.6903697Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.6904052Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.6904398Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 248, in forward
2025-08-14T21:30:25.6904779Z     attn_output, attn_weights = attention_interface(
2025-08-14T21:30:25.6905199Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T21:30:25.6905648Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T21:30:25.6905821Z 
2025-08-14T21:30:25.6905921Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.6906364Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.6906782Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.6907094Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.6907433Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.6907792Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.6908149Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.6908498Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 248, in forward
2025-08-14T21:30:25.6908882Z     attn_output, attn_weights = attention_interface(
2025-08-14T21:30:25.6909297Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T21:30:25.6909724Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T21:30:25.6909876Z 
2025-08-14T21:30:25.6909971Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.6910415Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.6910835Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.6911150Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.6911489Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.6911880Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.6912245Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.6912606Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 260, in forward
2025-08-14T21:30:25.6912979Z     attn_output = self.o_proj(attn_output)
2025-08-14T21:30:25.6913108Z 
2025-08-14T21:30:25.6913216Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.6913662Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.6914076Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.6914404Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.6914748Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.6915106Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-14T21:30:25.6915478Z     hidden_states = self.mlp(hidden_states)
2025-08-14T21:30:25.6915872Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-14T21:30:25.6916297Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-14T21:30:25.6916485Z 
2025-08-14T21:30:25.6916583Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.6917031Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.6917452Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.6917779Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.6918114Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.6918482Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-14T21:30:25.6918859Z     hidden_states = self.mlp(hidden_states)
2025-08-14T21:30:25.6919219Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-14T21:30:25.6919644Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-14T21:30:25.6919836Z 
2025-08-14T21:30:25.6919934Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.6920384Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.6920799Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.6921123Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.6921463Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.6921829Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-14T21:30:25.6922196Z     hidden_states = self.mlp(hidden_states)
2025-08-14T21:30:25.6922563Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-14T21:30:25.6922984Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-14T21:30:25.6923171Z 
2025-08-14T21:30:25.6923276Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.6923716Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.6924141Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.6924500Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.6924829Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.6925188Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-14T21:30:25.6925556Z     hidden_states = self.mlp(hidden_states)
2025-08-14T21:30:25.6925919Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-14T21:30:25.6926328Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-14T21:30:25.6926516Z 
2025-08-14T21:30:25.6926612Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.6927055Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.6927469Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.6927782Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.6928119Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.6928512Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.6928872Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.6929224Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 232, in forward
2025-08-14T21:30:25.6929649Z     query_states = self.q_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-08-14T21:30:25.6929834Z 
2025-08-14T21:30:25.6929938Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.6930375Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.6930795Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.6931116Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.6931449Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.6931806Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.6932163Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.6932520Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-14T21:30:25.6932956Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-14T21:30:25.6933418Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 135, in apply_rotary_pos_emb
2025-08-14T21:30:25.6933819Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-08-14T21:30:25.6934199Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-14T21:30:25.6934561Z     return torch.cat((-x2, x1), dim=-1)
2025-08-14T21:30:25.6934687Z 
2025-08-14T21:30:25.6934766Z cudagraph partition due to non gpu ops
2025-08-14T21:30:25.6934988Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.6935431Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.6935839Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.6936162Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.6936496Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.6936854Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.6937203Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.6937585Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-14T21:30:25.6938020Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-14T21:30:25.6938484Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 135, in apply_rotary_pos_emb
2025-08-14T21:30:25.6938880Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-08-14T21:30:25.6939256Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-14T21:30:25.6939623Z     return torch.cat((-x2, x1), dim=-1)
2025-08-14T21:30:25.6939746Z 
2025-08-14T21:30:25.6939842Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.6940286Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.6940703Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.6941022Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.6941386Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.6941749Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.6942110Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.6942460Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 233, in forward
2025-08-14T21:30:25.6942879Z     key_states = self.k_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-08-14T21:30:25.6943070Z 
2025-08-14T21:30:25.6943169Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.6943618Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.6944031Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.6944356Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.6944698Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.6945062Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.6945415Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.6945779Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-14T21:30:25.6946222Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-14T21:30:25.6946699Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 136, in apply_rotary_pos_emb
2025-08-14T21:30:25.6947096Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-08-14T21:30:25.6947476Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-14T21:30:25.6947861Z     return torch.cat((-x2, x1), dim=-1)
2025-08-14T21:30:25.6947983Z 
2025-08-14T21:30:25.6948057Z cudagraph partition due to non gpu ops
2025-08-14T21:30:25.6948283Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.6948729Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.6949147Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.6949461Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.6949799Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.6950203Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.6950569Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.6950924Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-14T21:30:25.6951368Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-14T21:30:25.6951843Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 136, in apply_rotary_pos_emb
2025-08-14T21:30:25.6952242Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-08-14T21:30:25.6952631Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-14T21:30:25.6953007Z     return torch.cat((-x2, x1), dim=-1)
2025-08-14T21:30:25.6953132Z 
2025-08-14T21:30:25.6953241Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.6953692Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.6954125Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.6954473Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.6954810Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.6955164Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.6955520Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.6955873Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-14T21:30:25.6956297Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-14T21:30:25.6956764Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 136, in apply_rotary_pos_emb
2025-08-14T21:30:25.6957160Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-08-14T21:30:25.6957285Z 
2025-08-14T21:30:25.6957393Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.6957826Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.6958243Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.6958564Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.6958900Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.6959262Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.6959617Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.6959974Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 234, in forward
2025-08-14T21:30:25.6960396Z     value_states = self.v_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-08-14T21:30:25.6960584Z 
2025-08-14T21:30:25.6960657Z cudagraph partition due to non gpu ops
2025-08-14T21:30:25.6960853Z cudagraph partition due to non gpu ops
2025-08-14T21:30:25.6961049Z cudagraph partition due to non gpu ops
2025-08-14T21:30:25.6961232Z cudagraph partition due to non gpu ops
2025-08-14T21:30:25.6961450Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.6961893Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.6962307Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.6962619Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.6962983Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.6963353Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.6963714Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.6964076Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 248, in forward
2025-08-14T21:30:25.6964464Z     attn_output, attn_weights = attention_interface(
2025-08-14T21:30:25.6964882Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T21:30:25.6965321Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T21:30:25.6965499Z 
2025-08-14T21:30:25.6965594Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.6966044Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.6966468Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.6966783Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.6967162Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.6967531Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.6967890Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.6968253Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 248, in forward
2025-08-14T21:30:25.6968643Z     attn_output, attn_weights = attention_interface(
2025-08-14T21:30:25.6969068Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T21:30:25.6969493Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T21:30:25.6969689Z 
2025-08-14T21:30:25.6969791Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.6970248Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.6970683Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.6971015Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.6971353Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.6971721Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.6972083Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.6972451Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 260, in forward
2025-08-14T21:30:25.6972829Z     attn_output = self.o_proj(attn_output)
2025-08-14T21:30:25.6972960Z 
2025-08-14T21:30:25.6973070Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.6973519Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.6973954Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.6974284Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.6974628Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.6974986Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-14T21:30:25.6975361Z     hidden_states = self.mlp(hidden_states)
2025-08-14T21:30:25.6975733Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-14T21:30:25.6976226Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-14T21:30:25.6976423Z 
2025-08-14T21:30:25.6976521Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.6976973Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.6977400Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.6977722Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.6978067Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.6978438Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-14T21:30:25.6978816Z     hidden_states = self.mlp(hidden_states)
2025-08-14T21:30:25.6979180Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-14T21:30:25.6979616Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-14T21:30:25.6979807Z 
2025-08-14T21:30:25.6979915Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.6980421Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.6980847Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.6981176Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.6981522Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.6981883Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-14T21:30:25.6982261Z     hidden_states = self.mlp(hidden_states)
2025-08-14T21:30:25.6982637Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-14T21:30:25.6983069Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-14T21:30:25.6983256Z 
2025-08-14T21:30:25.6983358Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.6983816Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.6984236Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.6984556Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.6984881Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.6985244Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-14T21:30:25.6985604Z     hidden_states = self.mlp(hidden_states)
2025-08-14T21:30:25.6985958Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-14T21:30:25.6986098Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-14T21:30:25.6986104Z 
2025-08-14T21:30:25.6986201Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.6986503Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.6986572Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.6986775Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.6986858Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.6987089Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 305, in forward
2025-08-14T21:30:25.6987171Z     hidden_states = residual + hidden_states
2025-08-14T21:30:25.6987208Z 
2025-08-14T21:30:25.6987303Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.6987593Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.6987672Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.6987875Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.6987947Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.6988185Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.6988255Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.6988494Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 232, in forward
2025-08-14T21:30:25.6988628Z     query_states = self.q_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-08-14T21:30:25.6988632Z 
2025-08-14T21:30:25.6988725Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.6989021Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.6989128Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.6989340Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.6989413Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.6989644Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.6989719Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.6989948Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-14T21:30:25.6990106Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-14T21:30:25.6990373Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 135, in apply_rotary_pos_emb
2025-08-14T21:30:25.6990456Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-08-14T21:30:25.6990708Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-14T21:30:25.6990777Z     return torch.cat((-x2, x1), dim=-1)
2025-08-14T21:30:25.6990780Z 
2025-08-14T21:30:25.6990853Z cudagraph partition due to non gpu ops
2025-08-14T21:30:25.6990954Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.6991246Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.6991320Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.6991526Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.6991596Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.6991836Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.6991904Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.6992142Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-14T21:30:25.6992287Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-14T21:30:25.6992554Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 135, in apply_rotary_pos_emb
2025-08-14T21:30:25.6992644Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-08-14T21:30:25.6992912Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-14T21:30:25.6992981Z     return torch.cat((-x2, x1), dim=-1)
2025-08-14T21:30:25.6992993Z 
2025-08-14T21:30:25.6993089Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.6993386Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.6993462Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.6993665Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.6993738Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.6993977Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.6994046Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.6994287Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 233, in forward
2025-08-14T21:30:25.6994417Z     key_states = self.k_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-08-14T21:30:25.6994449Z 
2025-08-14T21:30:25.6994545Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.6994845Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.6994911Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.6995124Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.6995198Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.6995429Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.6995507Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.6995741Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-14T21:30:25.6995887Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-14T21:30:25.6996163Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 136, in apply_rotary_pos_emb
2025-08-14T21:30:25.6996240Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-08-14T21:30:25.6996490Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-14T21:30:25.6996559Z     return torch.cat((-x2, x1), dim=-1)
2025-08-14T21:30:25.6996562Z 
2025-08-14T21:30:25.6996637Z cudagraph partition due to non gpu ops
2025-08-14T21:30:25.6996740Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.6997035Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.6997114Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.6997318Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.6997393Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.6997635Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.6997703Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.6997937Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-14T21:30:25.6998087Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-14T21:30:25.6998351Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 136, in apply_rotary_pos_emb
2025-08-14T21:30:25.6998467Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-08-14T21:30:25.6998707Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-14T21:30:25.6998778Z     return torch.cat((-x2, x1), dim=-1)
2025-08-14T21:30:25.6998781Z 
2025-08-14T21:30:25.6998882Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.6999172Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.6999249Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.6999451Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.6999524Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.6999768Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.6999841Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.7000083Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-14T21:30:25.7000256Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-14T21:30:25.7000526Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 136, in apply_rotary_pos_emb
2025-08-14T21:30:25.7000608Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-08-14T21:30:25.7000611Z 
2025-08-14T21:30:25.7000707Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7001009Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7001077Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7001290Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7001379Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7001617Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.7001689Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.7001934Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 234, in forward
2025-08-14T21:30:25.7002071Z     value_states = self.v_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-08-14T21:30:25.7002074Z 
2025-08-14T21:30:25.7002156Z cudagraph partition due to non gpu ops
2025-08-14T21:30:25.7002231Z cudagraph partition due to non gpu ops
2025-08-14T21:30:25.7002302Z cudagraph partition due to non gpu ops
2025-08-14T21:30:25.7002383Z cudagraph partition due to non gpu ops
2025-08-14T21:30:25.7002480Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7002778Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7002854Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7003067Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7003151Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7003389Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.7003460Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.7003705Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 248, in forward
2025-08-14T21:30:25.7003801Z     attn_output, attn_weights = attention_interface(
2025-08-14T21:30:25.7004114Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T21:30:25.7004240Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T21:30:25.7004243Z 
2025-08-14T21:30:25.7004339Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7004638Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7004702Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7004906Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7004985Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7005216Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.7005290Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.7005521Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 248, in forward
2025-08-14T21:30:25.7005611Z     attn_output, attn_weights = attention_interface(
2025-08-14T21:30:25.7005885Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T21:30:25.7006015Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T21:30:25.7006018Z 
2025-08-14T21:30:25.7006119Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7006407Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7006474Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7006684Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7006757Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7006996Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.7007064Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.7007298Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 260, in forward
2025-08-14T21:30:25.7007381Z     attn_output = self.o_proj(attn_output)
2025-08-14T21:30:25.7007384Z 
2025-08-14T21:30:25.7007478Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7007770Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7007844Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7008046Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7008125Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7008358Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-14T21:30:25.7008433Z     hidden_states = self.mlp(hidden_states)
2025-08-14T21:30:25.7008673Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-14T21:30:25.7008808Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-14T21:30:25.7008811Z 
2025-08-14T21:30:25.7008912Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7009203Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7009268Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7009480Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7009581Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7009821Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-14T21:30:25.7009897Z     hidden_states = self.mlp(hidden_states)
2025-08-14T21:30:25.7010129Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-14T21:30:25.7010268Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-14T21:30:25.7010272Z 
2025-08-14T21:30:25.7010364Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7010654Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7010728Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7010928Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7011011Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7011241Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-14T21:30:25.7011356Z     hidden_states = self.mlp(hidden_states)
2025-08-14T21:30:25.7011597Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-14T21:30:25.7011727Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-14T21:30:25.7011730Z 
2025-08-14T21:30:25.7011842Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7012138Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7012208Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7012424Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7012495Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7012735Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-14T21:30:25.7012812Z     hidden_states = self.mlp(hidden_states)
2025-08-14T21:30:25.7013041Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-14T21:30:25.7013175Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-14T21:30:25.7013178Z 
2025-08-14T21:30:25.7013272Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7013564Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7013640Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7013847Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7013926Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7014161Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.7014228Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.7014465Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 232, in forward
2025-08-14T21:30:25.7014596Z     query_states = self.q_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-08-14T21:30:25.7014599Z 
2025-08-14T21:30:25.7014702Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7014992Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7015059Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7015299Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7015376Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7015613Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.7015694Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.7015929Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-14T21:30:25.7016088Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-14T21:30:25.7016354Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 135, in apply_rotary_pos_emb
2025-08-14T21:30:25.7016437Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-08-14T21:30:25.7016693Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-14T21:30:25.7016768Z     return torch.cat((-x2, x1), dim=-1)
2025-08-14T21:30:25.7016771Z 
2025-08-14T21:30:25.7016907Z cudagraph partition due to non gpu ops
2025-08-14T21:30:25.7017002Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7017302Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7017378Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7017587Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7017666Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7017903Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.7017968Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.7018215Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-14T21:30:25.7018362Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-14T21:30:25.7018640Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 135, in apply_rotary_pos_emb
2025-08-14T21:30:25.7018727Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-08-14T21:30:25.7018979Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-14T21:30:25.7019059Z     return torch.cat((-x2, x1), dim=-1)
2025-08-14T21:30:25.7019062Z 
2025-08-14T21:30:25.7019155Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7019457Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7019532Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7019740Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7019821Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7020059Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.7020127Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.7020372Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 233, in forward
2025-08-14T21:30:25.7020502Z     key_states = self.k_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-08-14T21:30:25.7020505Z 
2025-08-14T21:30:25.7020609Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7020945Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7021014Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7021222Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7021297Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7021538Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.7021612Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.7021847Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-14T21:30:25.7022000Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-14T21:30:25.7022268Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 136, in apply_rotary_pos_emb
2025-08-14T21:30:25.7022350Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-08-14T21:30:25.7022607Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-14T21:30:25.7022710Z     return torch.cat((-x2, x1), dim=-1)
2025-08-14T21:30:25.7022713Z 
2025-08-14T21:30:25.7022793Z cudagraph partition due to non gpu ops
2025-08-14T21:30:25.7022888Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7023180Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7023256Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7023461Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7023534Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7023780Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.7023849Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.7024088Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-14T21:30:25.7024236Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-14T21:30:25.7024507Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 136, in apply_rotary_pos_emb
2025-08-14T21:30:25.7024593Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-08-14T21:30:25.7024838Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-14T21:30:25.7024916Z     return torch.cat((-x2, x1), dim=-1)
2025-08-14T21:30:25.7024919Z 
2025-08-14T21:30:25.7025015Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7025312Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7025386Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7025594Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7025677Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7025911Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.7025980Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.7026222Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-14T21:30:25.7026365Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-14T21:30:25.7026660Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 136, in apply_rotary_pos_emb
2025-08-14T21:30:25.7026749Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-08-14T21:30:25.7026752Z 
2025-08-14T21:30:25.7026849Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7027145Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7027212Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7027416Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7027495Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7027725Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.7027802Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.7028033Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 234, in forward
2025-08-14T21:30:25.7028165Z     value_states = self.v_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-08-14T21:30:25.7028194Z 
2025-08-14T21:30:25.7028273Z cudagraph partition due to non gpu ops
2025-08-14T21:30:25.7028344Z cudagraph partition due to non gpu ops
2025-08-14T21:30:25.7028418Z cudagraph partition due to non gpu ops
2025-08-14T21:30:25.7028497Z cudagraph partition due to non gpu ops
2025-08-14T21:30:25.7028591Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7028896Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7028962Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7029164Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7029248Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7029481Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.7029552Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.7029792Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 248, in forward
2025-08-14T21:30:25.7029882Z     attn_output, attn_weights = attention_interface(
2025-08-14T21:30:25.7030160Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T21:30:25.7030283Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T21:30:25.7030286Z 
2025-08-14T21:30:25.7030380Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7030680Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7030747Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7030960Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7031036Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7031267Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.7031343Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.7031578Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 248, in forward
2025-08-14T21:30:25.7031677Z     attn_output, attn_weights = attention_interface(
2025-08-14T21:30:25.7031942Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T21:30:25.7032044Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T21:30:25.7032087Z 
2025-08-14T21:30:25.7032189Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7032477Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7032545Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7032754Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7032827Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7033066Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.7033133Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.7033362Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 260, in forward
2025-08-14T21:30:25.7033447Z     attn_output = self.o_proj(attn_output)
2025-08-14T21:30:25.7033452Z 
2025-08-14T21:30:25.7033544Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7033837Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7033932Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7034132Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7034214Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7034444Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-14T21:30:25.7034528Z     hidden_states = self.mlp(hidden_states)
2025-08-14T21:30:25.7034759Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-14T21:30:25.7034892Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-14T21:30:25.7034895Z 
2025-08-14T21:30:25.7034998Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7035289Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7035357Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7035567Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7035637Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7035873Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-14T21:30:25.7035949Z     hidden_states = self.mlp(hidden_states)
2025-08-14T21:30:25.7036180Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-14T21:30:25.7036323Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-14T21:30:25.7036326Z 
2025-08-14T21:30:25.7036418Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7036717Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7036785Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7036989Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7037067Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7037298Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-14T21:30:25.7037380Z     hidden_states = self.mlp(hidden_states)
2025-08-14T21:30:25.7037643Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-14T21:30:25.7037774Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-14T21:30:25.7037777Z 
2025-08-14T21:30:25.7037882Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7038180Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7038246Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7038457Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7038529Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7038770Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-14T21:30:25.7038845Z     hidden_states = self.mlp(hidden_states)
2025-08-14T21:30:25.7039080Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-14T21:30:25.7039216Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-14T21:30:25.7039250Z 
2025-08-14T21:30:25.7039347Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7039643Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7039711Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7039911Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7039993Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7040224Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 305, in forward
2025-08-14T21:30:25.7040306Z     hidden_states = residual + hidden_states
2025-08-14T21:30:25.7040312Z 
2025-08-14T21:30:25.7040406Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7040693Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7040775Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7040975Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7041046Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7041288Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.7041358Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.7041598Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 232, in forward
2025-08-14T21:30:25.7041731Z     query_states = self.q_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-08-14T21:30:25.7041734Z 
2025-08-14T21:30:25.7041828Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7042131Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7042202Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7042408Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7042481Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7042708Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.7042788Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.7043018Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-14T21:30:25.7043194Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-14T21:30:25.7043471Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 135, in apply_rotary_pos_emb
2025-08-14T21:30:25.7043554Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-08-14T21:30:25.7043807Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-14T21:30:25.7043876Z     return torch.cat((-x2, x1), dim=-1)
2025-08-14T21:30:25.7043879Z 
2025-08-14T21:30:25.7043952Z cudagraph partition due to non gpu ops
2025-08-14T21:30:25.7044055Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7044348Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7044420Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7044627Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7044700Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7044969Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.7045039Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.7045276Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-14T21:30:25.7045421Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-14T21:30:25.7045687Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 135, in apply_rotary_pos_emb
2025-08-14T21:30:25.7045773Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-08-14T21:30:25.7046018Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-14T21:30:25.7046087Z     return torch.cat((-x2, x1), dim=-1)
2025-08-14T21:30:25.7046090Z 
2025-08-14T21:30:25.7046194Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7046484Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7046559Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7046764Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7046836Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7047073Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.7047142Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.7047383Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 233, in forward
2025-08-14T21:30:25.7047513Z     key_states = self.k_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-08-14T21:30:25.7047518Z 
2025-08-14T21:30:25.7047612Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7047910Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7047976Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7048184Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7048254Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7048482Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.7048555Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.7048809Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-14T21:30:25.7048952Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-14T21:30:25.7049226Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 136, in apply_rotary_pos_emb
2025-08-14T21:30:25.7049301Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-08-14T21:30:25.7049550Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-14T21:30:25.7049619Z     return torch.cat((-x2, x1), dim=-1)
2025-08-14T21:30:25.7049622Z 
2025-08-14T21:30:25.7049692Z cudagraph partition due to non gpu ops
2025-08-14T21:30:25.7049794Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7050085Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7050160Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7050362Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7050461Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7050699Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.7050767Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.7051001Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-14T21:30:25.7051153Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-14T21:30:25.7051420Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 136, in apply_rotary_pos_emb
2025-08-14T21:30:25.7051507Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-08-14T21:30:25.7051748Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-14T21:30:25.7051818Z     return torch.cat((-x2, x1), dim=-1)
2025-08-14T21:30:25.7051821Z 
2025-08-14T21:30:25.7051923Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7052214Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7052289Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7052488Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7052560Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7052800Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.7052869Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.7053098Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-14T21:30:25.7053252Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-14T21:30:25.7053513Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 136, in apply_rotary_pos_emb
2025-08-14T21:30:25.7053597Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-08-14T21:30:25.7053600Z 
2025-08-14T21:30:25.7053694Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7053983Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7054057Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7054294Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7054378Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7054610Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.7054681Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.7054922Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 234, in forward
2025-08-14T21:30:25.7055052Z     value_states = self.v_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-08-14T21:30:25.7055055Z 
2025-08-14T21:30:25.7055136Z cudagraph partition due to non gpu ops
2025-08-14T21:30:25.7055205Z cudagraph partition due to non gpu ops
2025-08-14T21:30:25.7055275Z cudagraph partition due to non gpu ops
2025-08-14T21:30:25.7055352Z cudagraph partition due to non gpu ops
2025-08-14T21:30:25.7055448Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7055741Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7055815Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7056044Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7056124Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7056355Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.7056421Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.7056660Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 248, in forward
2025-08-14T21:30:25.7056749Z     attn_output, attn_weights = attention_interface(
2025-08-14T21:30:25.7057017Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T21:30:25.7057147Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T21:30:25.7057150Z 
2025-08-14T21:30:25.7057244Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7057541Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7057608Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7057809Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7057889Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7058121Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.7058195Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.7058429Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 248, in forward
2025-08-14T21:30:25.7058520Z     attn_output, attn_weights = attention_interface(
2025-08-14T21:30:25.7058797Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T21:30:25.7058902Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T21:30:25.7058905Z 
2025-08-14T21:30:25.7059007Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7059300Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7059369Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7059580Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7059654Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7059911Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.7059988Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.7060223Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 260, in forward
2025-08-14T21:30:25.7060306Z     attn_output = self.o_proj(attn_output)
2025-08-14T21:30:25.7060310Z 
2025-08-14T21:30:25.7060402Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7060692Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7060769Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7060971Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7061052Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7061285Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-14T21:30:25.7061362Z     hidden_states = self.mlp(hidden_states)
2025-08-14T21:30:25.7061631Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-14T21:30:25.7061763Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-14T21:30:25.7061766Z 
2025-08-14T21:30:25.7061870Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7062161Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7062227Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7062433Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7062506Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7062735Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-14T21:30:25.7062820Z     hidden_states = self.mlp(hidden_states)
2025-08-14T21:30:25.7063050Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-14T21:30:25.7063186Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-14T21:30:25.7063189Z 
2025-08-14T21:30:25.7063281Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7063571Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7063645Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7063848Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7063931Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7064166Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-14T21:30:25.7064241Z     hidden_states = self.mlp(hidden_states)
2025-08-14T21:30:25.7064481Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-14T21:30:25.7064611Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-14T21:30:25.7064614Z 
2025-08-14T21:30:25.7064713Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7065005Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7065069Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7065304Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7065379Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7065611Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-14T21:30:25.7065695Z     hidden_states = self.mlp(hidden_states)
2025-08-14T21:30:25.7065926Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-14T21:30:25.7066060Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-14T21:30:25.7066063Z 
2025-08-14T21:30:25.7066155Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7066443Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7066520Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7066722Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7066802Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7067064Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.7067133Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.7067371Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 232, in forward
2025-08-14T21:30:25.7067505Z     query_states = self.q_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-08-14T21:30:25.7067508Z 
2025-08-14T21:30:25.7067609Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7067896Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7067964Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7068175Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7068246Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7068479Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.7068556Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.7068787Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-14T21:30:25.7068942Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-14T21:30:25.7069207Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 135, in apply_rotary_pos_emb
2025-08-14T21:30:25.7069287Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-08-14T21:30:25.7069550Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-14T21:30:25.7069651Z     return torch.cat((-x2, x1), dim=-1)
2025-08-14T21:30:25.7069654Z 
2025-08-14T21:30:25.7069744Z cudagraph partition due to non gpu ops
2025-08-14T21:30:25.7069842Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7070137Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7070223Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7070435Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7070510Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7070758Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.7070839Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.7071142Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-14T21:30:25.7071287Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-14T21:30:25.7071553Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 135, in apply_rotary_pos_emb
2025-08-14T21:30:25.7071639Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-08-14T21:30:25.7071882Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-14T21:30:25.7071959Z     return torch.cat((-x2, x1), dim=-1)
2025-08-14T21:30:25.7071962Z 
2025-08-14T21:30:25.7072056Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7072348Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7072422Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7072624Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7072759Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7072996Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.7073065Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.7073309Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 233, in forward
2025-08-14T21:30:25.7073440Z     key_states = self.k_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-08-14T21:30:25.7073443Z 
2025-08-14T21:30:25.7073538Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7073845Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7073913Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7074125Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7074202Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7074435Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.7074510Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.7074745Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-14T21:30:25.7074896Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-14T21:30:25.7075161Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 136, in apply_rotary_pos_emb
2025-08-14T21:30:25.7075242Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-08-14T21:30:25.7075490Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-14T21:30:25.7075562Z     return torch.cat((-x2, x1), dim=-1)
2025-08-14T21:30:25.7075565Z 
2025-08-14T21:30:25.7075647Z cudagraph partition due to non gpu ops
2025-08-14T21:30:25.7075739Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7076030Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7076104Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7076308Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7076381Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7076652Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.7076719Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.7076953Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-14T21:30:25.7077100Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-14T21:30:25.7077361Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 136, in apply_rotary_pos_emb
2025-08-14T21:30:25.7077443Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-08-14T21:30:25.7077683Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-14T21:30:25.7077760Z     return torch.cat((-x2, x1), dim=-1)
2025-08-14T21:30:25.7077763Z 
2025-08-14T21:30:25.7077856Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7078148Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7078250Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7078456Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7078528Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7078771Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.7078838Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.7079082Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-14T21:30:25.7079225Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-14T21:30:25.7079501Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 136, in apply_rotary_pos_emb
2025-08-14T21:30:25.7079589Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-08-14T21:30:25.7079591Z 
2025-08-14T21:30:25.7079692Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7079997Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7080064Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7080268Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7080349Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7080586Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.7080659Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.7080897Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 234, in forward
2025-08-14T21:30:25.7081028Z     value_states = self.v_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-08-14T21:30:25.7081033Z 
2025-08-14T21:30:25.7081116Z cudagraph partition due to non gpu ops
2025-08-14T21:30:25.7081188Z cudagraph partition due to non gpu ops
2025-08-14T21:30:25.7081258Z cudagraph partition due to non gpu ops
2025-08-14T21:30:25.7081335Z cudagraph partition due to non gpu ops
2025-08-14T21:30:25.7081429Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7081736Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7081805Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7082010Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7082117Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7082346Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.7082417Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.7082654Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 248, in forward
2025-08-14T21:30:25.7082744Z     attn_output, attn_weights = attention_interface(
2025-08-14T21:30:25.7083015Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T21:30:25.7083137Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T21:30:25.7083140Z 
2025-08-14T21:30:25.7083231Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7083536Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7083602Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7083814Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7083917Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7084148Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.7084224Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.7084453Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 248, in forward
2025-08-14T21:30:25.7084542Z     attn_output, attn_weights = attention_interface(
2025-08-14T21:30:25.7084818Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T21:30:25.7084920Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T21:30:25.7084926Z 
2025-08-14T21:30:25.7085028Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7085319Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7085390Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7085601Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7085673Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7085914Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.7085981Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.7086212Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 260, in forward
2025-08-14T21:30:25.7086294Z     attn_output = self.o_proj(attn_output)
2025-08-14T21:30:25.7086300Z 
2025-08-14T21:30:25.7086392Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7086693Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7086763Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7086966Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7087045Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7087275Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-14T21:30:25.7087351Z     hidden_states = self.mlp(hidden_states)
2025-08-14T21:30:25.7087591Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-14T21:30:25.7087751Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-14T21:30:25.7087754Z 
2025-08-14T21:30:25.7087857Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7088152Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7088220Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7088434Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7088506Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7088748Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-14T21:30:25.7088821Z     hidden_states = self.mlp(hidden_states)
2025-08-14T21:30:25.7089059Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-14T21:30:25.7089202Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-14T21:30:25.7089205Z 
2025-08-14T21:30:25.7089299Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7089630Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7089697Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7089897Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7089979Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7090211Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-14T21:30:25.7090285Z     hidden_states = self.mlp(hidden_states)
2025-08-14T21:30:25.7090530Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-14T21:30:25.7090658Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-14T21:30:25.7090661Z 
2025-08-14T21:30:25.7090765Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7091059Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7091124Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7091337Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7091410Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7091651Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-14T21:30:25.7091724Z     hidden_states = self.mlp(hidden_states)
2025-08-14T21:30:25.7091958Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-14T21:30:25.7092093Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-14T21:30:25.7092098Z 
2025-08-14T21:30:25.7092191Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7092490Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7092555Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7092758Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7092838Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7093070Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 305, in forward
2025-08-14T21:30:25.7093143Z     hidden_states = residual + hidden_states
2025-08-14T21:30:25.7093183Z 
2025-08-14T21:30:25.7093277Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7093565Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7093642Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7093840Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7093910Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7094148Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.7094217Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.7094453Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 232, in forward
2025-08-14T21:30:25.7094588Z     query_states = self.q_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-08-14T21:30:25.7094591Z 
2025-08-14T21:30:25.7094683Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7094983Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7095087Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7095297Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7095368Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7095601Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.7095675Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.7095905Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-14T21:30:25.7096053Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-14T21:30:25.7096333Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 135, in apply_rotary_pos_emb
2025-08-14T21:30:25.7096416Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-08-14T21:30:25.7096668Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-14T21:30:25.7096738Z     return torch.cat((-x2, x1), dim=-1)
2025-08-14T21:30:25.7096741Z 
2025-08-14T21:30:25.7096815Z cudagraph partition due to non gpu ops
2025-08-14T21:30:25.7096919Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7097215Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7097290Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7097493Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7097565Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7097808Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.7097874Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.7098104Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-14T21:30:25.7098259Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-14T21:30:25.7098526Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 135, in apply_rotary_pos_emb
2025-08-14T21:30:25.7098612Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-08-14T21:30:25.7098886Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-14T21:30:25.7098959Z     return torch.cat((-x2, x1), dim=-1)
2025-08-14T21:30:25.7098962Z 
2025-08-14T21:30:25.7099070Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7099363Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7099439Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7099642Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7099715Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7099957Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.7100025Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.7100263Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 233, in forward
2025-08-14T21:30:25.7100402Z     key_states = self.k_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-08-14T21:30:25.7100454Z 
2025-08-14T21:30:25.7100549Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7100845Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7100913Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7101115Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7101195Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7101426Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.7101500Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.7101735Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-14T21:30:25.7101879Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-14T21:30:25.7102154Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 136, in apply_rotary_pos_emb
2025-08-14T21:30:25.7102232Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-08-14T21:30:25.7102478Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-14T21:30:25.7102546Z     return torch.cat((-x2, x1), dim=-1)
2025-08-14T21:30:25.7102549Z 
2025-08-14T21:30:25.7102623Z cudagraph partition due to non gpu ops
2025-08-14T21:30:25.7102726Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7103019Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7103085Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7103296Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7103371Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7103609Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.7103676Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.7103907Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-14T21:30:25.7104060Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-14T21:30:25.7104323Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 136, in apply_rotary_pos_emb
2025-08-14T21:30:25.7104442Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-08-14T21:30:25.7104685Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-14T21:30:25.7104757Z     return torch.cat((-x2, x1), dim=-1)
2025-08-14T21:30:25.7104760Z 
2025-08-14T21:30:25.7104862Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7105150Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7105228Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7105428Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7105499Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7105736Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.7105804Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.7106031Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-14T21:30:25.7106229Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-14T21:30:25.7106492Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 136, in apply_rotary_pos_emb
2025-08-14T21:30:25.7106573Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-08-14T21:30:25.7106576Z 
2025-08-14T21:30:25.7106669Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7106960Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7107038Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7107242Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7107320Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7107551Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.7107621Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.7107860Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 234, in forward
2025-08-14T21:30:25.7107991Z     value_states = self.v_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-08-14T21:30:25.7107994Z 
2025-08-14T21:30:25.7108073Z cudagraph partition due to non gpu ops
2025-08-14T21:30:25.7108145Z cudagraph partition due to non gpu ops
2025-08-14T21:30:25.7108214Z cudagraph partition due to non gpu ops
2025-08-14T21:30:25.7108292Z cudagraph partition due to non gpu ops
2025-08-14T21:30:25.7108385Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7108678Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7108750Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7108957Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7109035Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7109266Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.7109335Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.7109570Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 248, in forward
2025-08-14T21:30:25.7109660Z     attn_output, attn_weights = attention_interface(
2025-08-14T21:30:25.7109959Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T21:30:25.7110089Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T21:30:25.7110093Z 
2025-08-14T21:30:25.7110188Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7110487Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7110554Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7110756Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7110838Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7111068Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.7111145Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.7111377Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 248, in forward
2025-08-14T21:30:25.7111467Z     attn_output, attn_weights = attention_interface(
2025-08-14T21:30:25.7111743Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T21:30:25.7111875Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T21:30:25.7111878Z 
2025-08-14T21:30:25.7111978Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7112268Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7112336Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7112546Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7112618Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7112852Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.7112930Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.7113166Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 260, in forward
2025-08-14T21:30:25.7113253Z     attn_output = self.o_proj(attn_output)
2025-08-14T21:30:25.7113256Z 
2025-08-14T21:30:25.7113350Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7113641Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7113720Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7113923Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7114004Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7114237Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-14T21:30:25.7114313Z     hidden_states = self.mlp(hidden_states)
2025-08-14T21:30:25.7114554Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-14T21:30:25.7114684Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-14T21:30:25.7114687Z 
2025-08-14T21:30:25.7114779Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7115080Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7115146Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7115356Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7115463Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7115694Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-14T21:30:25.7115781Z     hidden_states = self.mlp(hidden_states)
2025-08-14T21:30:25.7116012Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-14T21:30:25.7116148Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-14T21:30:25.7116151Z 
2025-08-14T21:30:25.7116243Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7116533Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7116606Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7116808Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7116889Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7117120Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-14T21:30:25.7117221Z     hidden_states = self.mlp(hidden_states)
2025-08-14T21:30:25.7117456Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-14T21:30:25.7117584Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-14T21:30:25.7117587Z 
2025-08-14T21:30:25.7117680Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7117979Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7118048Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7118261Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7118332Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7118560Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-14T21:30:25.7118645Z     hidden_states = self.mlp(hidden_states)
2025-08-14T21:30:25.7118875Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-14T21:30:25.7119010Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-14T21:30:25.7119012Z 
2025-08-14T21:30:25.7119106Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7119394Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7119468Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7119672Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7119750Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7119985Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.7120053Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.7120289Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 232, in forward
2025-08-14T21:30:25.7120418Z     query_states = self.q_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-08-14T21:30:25.7120422Z 
2025-08-14T21:30:25.7120516Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7120814Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7120882Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7121118Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7121191Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7121424Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.7121499Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.7121726Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-14T21:30:25.7121881Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-14T21:30:25.7122144Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 135, in apply_rotary_pos_emb
2025-08-14T21:30:25.7122221Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-08-14T21:30:25.7122474Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-14T21:30:25.7122543Z     return torch.cat((-x2, x1), dim=-1)
2025-08-14T21:30:25.7122546Z 
2025-08-14T21:30:25.7122654Z cudagraph partition due to non gpu ops
2025-08-14T21:30:25.7122746Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7123038Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7123110Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7123313Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7123383Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7123623Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.7123690Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.7123932Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-14T21:30:25.7124078Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-14T21:30:25.7124346Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 135, in apply_rotary_pos_emb
2025-08-14T21:30:25.7124431Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-08-14T21:30:25.7124673Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-14T21:30:25.7124751Z     return torch.cat((-x2, x1), dim=-1)
2025-08-14T21:30:25.7124754Z 
2025-08-14T21:30:25.7124847Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7125139Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7125216Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7125417Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7125490Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7125728Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.7125797Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.7126035Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 233, in forward
2025-08-14T21:30:25.7126166Z     key_states = self.k_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-08-14T21:30:25.7126169Z 
2025-08-14T21:30:25.7126262Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7126588Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7126657Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7126872Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7126946Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7127181Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.7127258Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.7127491Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-14T21:30:25.7127648Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-14T21:30:25.7127917Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 136, in apply_rotary_pos_emb
2025-08-14T21:30:25.7127997Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-08-14T21:30:25.7128252Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-14T21:30:25.7128349Z     return torch.cat((-x2, x1), dim=-1)
2025-08-14T21:30:25.7128352Z 
2025-08-14T21:30:25.7128425Z cudagraph partition due to non gpu ops
2025-08-14T21:30:25.7128531Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7128842Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7128917Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7129124Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7129195Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7129442Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.7129509Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.7129755Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-14T21:30:25.7129901Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-14T21:30:25.7130174Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 136, in apply_rotary_pos_emb
2025-08-14T21:30:25.7130259Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-08-14T21:30:25.7130508Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-14T21:30:25.7130577Z     return torch.cat((-x2, x1), dim=-1)
2025-08-14T21:30:25.7130587Z 
2025-08-14T21:30:25.7130682Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7130982Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7131059Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7131264Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7131338Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7131581Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.7131651Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.7131896Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-14T21:30:25.7132038Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-14T21:30:25.7132335Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 136, in apply_rotary_pos_emb
2025-08-14T21:30:25.7132420Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-08-14T21:30:25.7132423Z 
2025-08-14T21:30:25.7132520Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7132823Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7132891Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7133094Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7133173Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7133403Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.7133471Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.7133713Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 234, in forward
2025-08-14T21:30:25.7133848Z     value_states = self.v_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-08-14T21:30:25.7133879Z 
2025-08-14T21:30:25.7133960Z cudagraph partition due to non gpu ops
2025-08-14T21:30:25.7134032Z cudagraph partition due to non gpu ops
2025-08-14T21:30:25.7134101Z cudagraph partition due to non gpu ops
2025-08-14T21:30:25.7134179Z cudagraph partition due to non gpu ops
2025-08-14T21:30:25.7134273Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7134568Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7134643Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7134846Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7134928Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7135160Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.7135230Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.7135469Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 248, in forward
2025-08-14T21:30:25.7135564Z     attn_output, attn_weights = attention_interface(
2025-08-14T21:30:25.7135840Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T21:30:25.7135962Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T21:30:25.7135965Z 
2025-08-14T21:30:25.7136059Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7136362Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7136429Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7136639Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7136715Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7136946Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.7137022Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.7137253Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 248, in forward
2025-08-14T21:30:25.7137341Z     attn_output, attn_weights = attention_interface(
2025-08-14T21:30:25.7137618Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T21:30:25.7137720Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T21:30:25.7137755Z 
2025-08-14T21:30:25.7137859Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7138152Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7138220Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7138431Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7138500Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7138736Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.7138804Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.7139035Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 260, in forward
2025-08-14T21:30:25.7139120Z     attn_output = self.o_proj(attn_output)
2025-08-14T21:30:25.7139126Z 
2025-08-14T21:30:25.7139221Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7139514Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7139618Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7139819Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7139897Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7140131Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-14T21:30:25.7140208Z     hidden_states = self.mlp(hidden_states)
2025-08-14T21:30:25.7140450Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-14T21:30:25.7140587Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-14T21:30:25.7140590Z 
2025-08-14T21:30:25.7140690Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7140986Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7141054Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7141265Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7141339Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7141577Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-14T21:30:25.7141652Z     hidden_states = self.mlp(hidden_states)
2025-08-14T21:30:25.7141883Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-14T21:30:25.7142026Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-14T21:30:25.7142029Z 
2025-08-14T21:30:25.7142122Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7142416Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7142493Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7142695Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7142777Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7143010Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-14T21:30:25.7143083Z     hidden_states = self.mlp(hidden_states)
2025-08-14T21:30:25.7143352Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-14T21:30:25.7143483Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-14T21:30:25.7143486Z 
2025-08-14T21:30:25.7143591Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7143882Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7143948Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7144160Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7144232Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7144469Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-14T21:30:25.7144544Z     hidden_states = self.mlp(hidden_states)
2025-08-14T21:30:25.7144777Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-14T21:30:25.7144915Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-14T21:30:25.7144946Z 
2025-08-14T21:30:25.7145041Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7145332Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7145407Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7145608Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7145688Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7145920Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 305, in forward
2025-08-14T21:30:25.7145994Z     hidden_states = residual + hidden_states
2025-08-14T21:30:25.7146000Z 
2025-08-14T21:30:25.7146101Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7146394Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7146473Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7146676Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7146746Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7146985Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.7147055Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.7147292Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 232, in forward
2025-08-14T21:30:25.7147428Z     query_states = self.q_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-08-14T21:30:25.7147430Z 
2025-08-14T21:30:25.7147523Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7147822Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7147892Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7148093Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7148172Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7148400Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.7148475Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.7148706Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-14T21:30:25.7148874Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-14T21:30:25.7149143Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 135, in apply_rotary_pos_emb
2025-08-14T21:30:25.7149225Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-08-14T21:30:25.7149472Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-14T21:30:25.7149542Z     return torch.cat((-x2, x1), dim=-1)
2025-08-14T21:30:25.7149545Z 
2025-08-14T21:30:25.7149619Z cudagraph partition due to non gpu ops
2025-08-14T21:30:25.7149721Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7150010Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7150078Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7150289Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7150359Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7150629Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.7150695Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.7150921Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-14T21:30:25.7151073Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-14T21:30:25.7151332Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 135, in apply_rotary_pos_emb
2025-08-14T21:30:25.7151418Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-08-14T21:30:25.7151660Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-14T21:30:25.7151729Z     return torch.cat((-x2, x1), dim=-1)
2025-08-14T21:30:25.7151732Z 
2025-08-14T21:30:25.7151836Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7152123Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7152194Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7152394Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7152464Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7152700Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.7152767Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.7152998Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 233, in forward
2025-08-14T21:30:25.7153133Z     key_states = self.k_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-08-14T21:30:25.7153139Z 
2025-08-14T21:30:25.7153234Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7153531Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7153598Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7153800Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7153878Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7154107Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.7154182Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.7154437Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-14T21:30:25.7154583Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-14T21:30:25.7154858Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 136, in apply_rotary_pos_emb
2025-08-14T21:30:25.7154934Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-08-14T21:30:25.7155183Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-14T21:30:25.7155253Z     return torch.cat((-x2, x1), dim=-1)
2025-08-14T21:30:25.7155256Z 
2025-08-14T21:30:25.7155328Z cudagraph partition due to non gpu ops
2025-08-14T21:30:25.7155429Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7155722Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7155788Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7156000Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7156109Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7156349Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.7156418Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.7156649Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-14T21:30:25.7156801Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-14T21:30:25.7157066Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 136, in apply_rotary_pos_emb
2025-08-14T21:30:25.7157153Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-08-14T21:30:25.7157396Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-14T21:30:25.7157469Z     return torch.cat((-x2, x1), dim=-1)
2025-08-14T21:30:25.7157472Z 
2025-08-14T21:30:25.7157576Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7157865Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7157933Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7158140Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7158215Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7158454Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.7158522Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.7158752Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-14T21:30:25.7158905Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-14T21:30:25.7159169Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 136, in apply_rotary_pos_emb
2025-08-14T21:30:25.7159254Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-08-14T21:30:25.7159256Z 
2025-08-14T21:30:25.7159351Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7159640Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7159714Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7159947Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7160028Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7160258Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.7160328Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.7160568Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 234, in forward
2025-08-14T21:30:25.7160700Z     value_states = self.v_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-08-14T21:30:25.7160704Z 
2025-08-14T21:30:25.7160776Z cudagraph partition due to non gpu ops
2025-08-14T21:30:25.7160854Z cudagraph partition due to non gpu ops
2025-08-14T21:30:25.7160923Z cudagraph partition due to non gpu ops
2025-08-14T21:30:25.7161001Z cudagraph partition due to non gpu ops
2025-08-14T21:30:25.7161096Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7161396Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7161472Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7161700Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7161772Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7162011Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.7162079Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.7162318Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 248, in forward
2025-08-14T21:30:25.7162407Z     attn_output, attn_weights = attention_interface(
2025-08-14T21:30:25.7162672Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T21:30:25.7162803Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T21:30:25.7162806Z 
2025-08-14T21:30:25.7162903Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7163201Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7163268Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7163470Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7163552Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7163783Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.7163851Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.7164089Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 248, in forward
2025-08-14T21:30:25.7164176Z     attn_output, attn_weights = attention_interface(
2025-08-14T21:30:25.7164448Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T21:30:25.7164555Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T21:30:25.7164558Z 
2025-08-14T21:30:25.7164651Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7164947Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7165014Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7165219Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7165292Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7165549Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.7165626Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.7165857Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 260, in forward
2025-08-14T21:30:25.7165940Z     attn_output = self.o_proj(attn_output)
2025-08-14T21:30:25.7165943Z 
2025-08-14T21:30:25.7166038Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7166327Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7166401Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7166599Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7166670Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7166907Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-14T21:30:25.7166982Z     hidden_states = self.mlp(hidden_states)
2025-08-14T21:30:25.7167249Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-14T21:30:25.7167381Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-14T21:30:25.7167384Z 
2025-08-14T21:30:25.7167479Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7167780Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7167844Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7168054Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7168129Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7168361Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-14T21:30:25.7168447Z     hidden_states = self.mlp(hidden_states)
2025-08-14T21:30:25.7168678Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-14T21:30:25.7168817Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-14T21:30:25.7168820Z 
2025-08-14T21:30:25.7168915Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7169206Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7169281Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7169484Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7169558Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7169832Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-14T21:30:25.7169911Z     hidden_states = self.mlp(hidden_states)
2025-08-14T21:30:25.7170147Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-14T21:30:25.7170277Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-14T21:30:25.7170280Z 
2025-08-14T21:30:25.7170374Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7170674Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7170741Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7171008Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7171084Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7171314Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-14T21:30:25.7171398Z     hidden_states = self.mlp(hidden_states)
2025-08-14T21:30:25.7171629Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-14T21:30:25.7171767Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-14T21:30:25.7171770Z 
2025-08-14T21:30:25.7171865Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7172157Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7172233Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7172439Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7172511Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7172793Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.7172862Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.7173099Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 232, in forward
2025-08-14T21:30:25.7173229Z     query_states = self.q_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-08-14T21:30:25.7173232Z 
2025-08-14T21:30:25.7173326Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7173628Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7173695Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7173910Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7173984Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7174216Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.7174294Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.7174524Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-14T21:30:25.7174679Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-14T21:30:25.7174944Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 135, in apply_rotary_pos_emb
2025-08-14T21:30:25.7175023Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-08-14T21:30:25.7175275Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-14T21:30:25.7175344Z     return torch.cat((-x2, x1), dim=-1)
2025-08-14T21:30:25.7175347Z 
2025-08-14T21:30:25.7175424Z cudagraph partition due to non gpu ops
2025-08-14T21:30:25.7175526Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7175819Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7175894Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7176095Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7176167Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7176406Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.7176471Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.7176735Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-14T21:30:25.7176884Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-14T21:30:25.7177149Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 135, in apply_rotary_pos_emb
2025-08-14T21:30:25.7177234Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-08-14T21:30:25.7177475Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-14T21:30:25.7177543Z     return torch.cat((-x2, x1), dim=-1)
2025-08-14T21:30:25.7177556Z 
2025-08-14T21:30:25.7177649Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7177942Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7178015Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7178217Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7178330Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7178567Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.7178635Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.7178874Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 233, in forward
2025-08-14T21:30:25.7179004Z     key_states = self.k_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-08-14T21:30:25.7179007Z 
2025-08-14T21:30:25.7179102Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7179402Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7179467Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7179676Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7179749Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7179979Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.7180053Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.7180282Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-14T21:30:25.7180423Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-14T21:30:25.7180694Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 136, in apply_rotary_pos_emb
2025-08-14T21:30:25.7180775Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-08-14T21:30:25.7181026Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-14T21:30:25.7181099Z     return torch.cat((-x2, x1), dim=-1)
2025-08-14T21:30:25.7181102Z 
2025-08-14T21:30:25.7181174Z cudagraph partition due to non gpu ops
2025-08-14T21:30:25.7181275Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7181566Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7181638Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7181840Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7181909Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7182179Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.7182247Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.7182481Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-14T21:30:25.7182634Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-14T21:30:25.7182900Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 136, in apply_rotary_pos_emb
2025-08-14T21:30:25.7182986Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-08-14T21:30:25.7183232Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-14T21:30:25.7183302Z     return torch.cat((-x2, x1), dim=-1)
2025-08-14T21:30:25.7183305Z 
2025-08-14T21:30:25.7183406Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7183698Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7183801Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7184003Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7184075Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7184314Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.7184382Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.7184619Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-14T21:30:25.7184761Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-14T21:30:25.7185026Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 136, in apply_rotary_pos_emb
2025-08-14T21:30:25.7185111Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-08-14T21:30:25.7185117Z 
2025-08-14T21:30:25.7185211Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7185499Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7185571Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7185772Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7185854Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7186085Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.7186154Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.7186395Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 234, in forward
2025-08-14T21:30:25.7186527Z     value_states = self.v_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-08-14T21:30:25.7186533Z 
2025-08-14T21:30:25.7186614Z cudagraph partition due to non gpu ops
2025-08-14T21:30:25.7186685Z cudagraph partition due to non gpu ops
2025-08-14T21:30:25.7186756Z cudagraph partition due to non gpu ops
2025-08-14T21:30:25.7186843Z cudagraph partition due to non gpu ops
2025-08-14T21:30:25.7186937Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7187226Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7187303Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7187504Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7187614Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7187847Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.7187918Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.7188158Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 248, in forward
2025-08-14T21:30:25.7188249Z     attn_output, attn_weights = attention_interface(
2025-08-14T21:30:25.7188523Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T21:30:25.7188644Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T21:30:25.7188647Z 
2025-08-14T21:30:25.7188740Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7189040Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7189107Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7189308Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7189417Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7189649Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.7189723Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.7189953Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 248, in forward
2025-08-14T21:30:25.7190043Z     attn_output, attn_weights = attention_interface(
2025-08-14T21:30:25.7190317Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T21:30:25.7190418Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T21:30:25.7190423Z 
2025-08-14T21:30:25.7190524Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7190813Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7190884Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7191092Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7191164Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7191395Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.7191469Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.7191701Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 260, in forward
2025-08-14T21:30:25.7191785Z     attn_output = self.o_proj(attn_output)
2025-08-14T21:30:25.7191791Z 
2025-08-14T21:30:25.7191885Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7192174Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7192249Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7192451Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7192530Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7192762Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-14T21:30:25.7192835Z     hidden_states = self.mlp(hidden_states)
2025-08-14T21:30:25.7193072Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-14T21:30:25.7193252Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-14T21:30:25.7193256Z 
2025-08-14T21:30:25.7193357Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7193647Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7193712Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7193922Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7193993Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7194221Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-14T21:30:25.7194303Z     hidden_states = self.mlp(hidden_states)
2025-08-14T21:30:25.7194533Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-14T21:30:25.7194673Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-14T21:30:25.7194676Z 
2025-08-14T21:30:25.7194769Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7195089Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7195162Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7195361Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7195441Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7195670Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-14T21:30:25.7195744Z     hidden_states = self.mlp(hidden_states)
2025-08-14T21:30:25.7195985Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-14T21:30:25.7196114Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-14T21:30:25.7196119Z 
2025-08-14T21:30:25.7196219Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7196507Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7196573Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7196781Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7196850Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7197076Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-14T21:30:25.7197159Z     hidden_states = self.mlp(hidden_states)
2025-08-14T21:30:25.7197392Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-14T21:30:25.7197527Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-14T21:30:25.7197533Z 
2025-08-14T21:30:25.7197625Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7197914Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7197989Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7198188Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7198266Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7198494Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 305, in forward
2025-08-14T21:30:25.7198567Z     hidden_states = residual + hidden_states
2025-08-14T21:30:25.7198609Z 
2025-08-14T21:30:25.7198712Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7199002Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7199079Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7199279Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7199351Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7199587Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.7199656Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.7199885Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 232, in forward
2025-08-14T21:30:25.7200025Z     query_states = self.q_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-08-14T21:30:25.7200028Z 
2025-08-14T21:30:25.7200120Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7200416Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7200514Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7200713Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7200794Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7201026Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.7201104Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.7201336Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-14T21:30:25.7201486Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-14T21:30:25.7201762Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 135, in apply_rotary_pos_emb
2025-08-14T21:30:25.7201844Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-08-14T21:30:25.7202097Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-14T21:30:25.7202170Z     return torch.cat((-x2, x1), dim=-1)
2025-08-14T21:30:25.7202173Z 
2025-08-14T21:30:25.7202245Z cudagraph partition due to non gpu ops
2025-08-14T21:30:25.7202347Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7202641Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7202710Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7202923Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7202995Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7203239Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.7203306Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.7203540Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-14T21:30:25.7203694Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-14T21:30:25.7203961Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 135, in apply_rotary_pos_emb
2025-08-14T21:30:25.7204045Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-08-14T21:30:25.7204321Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-14T21:30:25.7204392Z     return torch.cat((-x2, x1), dim=-1)
2025-08-14T21:30:25.7204395Z 
2025-08-14T21:30:25.7204499Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7204794Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7204860Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7205074Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7205145Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7205385Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.7205452Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.7205686Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 233, in forward
2025-08-14T21:30:25.7205823Z     key_states = self.k_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-08-14T21:30:25.7205855Z 
2025-08-14T21:30:25.7205949Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7206248Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7206314Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7206515Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7206594Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7206825Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.7206900Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.7207132Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-14T21:30:25.7207276Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-14T21:30:25.7207550Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 136, in apply_rotary_pos_emb
2025-08-14T21:30:25.7207627Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-08-14T21:30:25.7207868Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-14T21:30:25.7207943Z     return torch.cat((-x2, x1), dim=-1)
2025-08-14T21:30:25.7207945Z 
2025-08-14T21:30:25.7208018Z cudagraph partition due to non gpu ops
2025-08-14T21:30:25.7208118Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7208411Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7208477Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7208685Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7208758Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7208999Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.7209066Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.7209298Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-14T21:30:25.7209444Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-14T21:30:25.7209708Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 136, in apply_rotary_pos_emb
2025-08-14T21:30:25.7209810Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-08-14T21:30:25.7210057Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-14T21:30:25.7210130Z     return torch.cat((-x2, x1), dim=-1)
2025-08-14T21:30:25.7210133Z 
2025-08-14T21:30:25.7210231Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7210523Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7210589Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7210799Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7210870Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7211109Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.7211180Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.7211414Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-14T21:30:25.7211594Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-14T21:30:25.7211857Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 136, in apply_rotary_pos_emb
2025-08-14T21:30:25.7211939Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-08-14T21:30:25.7211941Z 
2025-08-14T21:30:25.7212035Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7212324Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7212397Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7212599Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7212672Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7212909Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.7212979Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.7213216Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 234, in forward
2025-08-14T21:30:25.7213347Z     value_states = self.v_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-08-14T21:30:25.7213350Z 
2025-08-14T21:30:25.7213421Z cudagraph partition due to non gpu ops
2025-08-14T21:30:25.7213500Z cudagraph partition due to non gpu ops
2025-08-14T21:30:25.7213571Z cudagraph partition due to non gpu ops
2025-08-14T21:30:25.7213650Z cudagraph partition due to non gpu ops
2025-08-14T21:30:25.7213744Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7214039Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7214113Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7214316Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7214390Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7214628Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.7214696Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.7214933Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 248, in forward
2025-08-14T21:30:25.7215025Z     attn_output, attn_weights = attention_interface(
2025-08-14T21:30:25.7215323Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T21:30:25.7215458Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T21:30:25.7215461Z 
2025-08-14T21:30:25.7215558Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7215860Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7215926Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7216128Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7216207Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7216437Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.7216504Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.7216742Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 248, in forward
2025-08-14T21:30:25.7216831Z     attn_output, attn_weights = attention_interface(
2025-08-14T21:30:25.7217102Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T21:30:25.7217232Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T21:30:25.7217234Z 
2025-08-14T21:30:25.7217328Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7217630Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7217697Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7217904Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7217976Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7218211Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.7218287Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.7218518Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 260, in forward
2025-08-14T21:30:25.7218593Z     attn_output = self.o_proj(attn_output)
2025-08-14T21:30:25.7218605Z 
2025-08-14T21:30:25.7218696Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7218987Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7219065Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7219265Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7219336Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7219580Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-14T21:30:25.7219656Z     hidden_states = self.mlp(hidden_states)
2025-08-14T21:30:25.7219899Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-14T21:30:25.7220031Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-14T21:30:25.7220036Z 
2025-08-14T21:30:25.7220129Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7220428Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7220494Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7220703Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7220806Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7221039Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-14T21:30:25.7221125Z     hidden_states = self.mlp(hidden_states)
2025-08-14T21:30:25.7221358Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-14T21:30:25.7221488Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-14T21:30:25.7221499Z 
2025-08-14T21:30:25.7221592Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7221882Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7221957Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7222157Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7222230Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7222469Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-14T21:30:25.7222575Z     hidden_states = self.mlp(hidden_states)
2025-08-14T21:30:25.7222811Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-14T21:30:25.7222940Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-14T21:30:25.7222943Z 
2025-08-14T21:30:25.7223033Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7223332Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7223398Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7223607Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7223678Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7223908Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-14T21:30:25.7223991Z     hidden_states = self.mlp(hidden_states)
2025-08-14T21:30:25.7224220Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-14T21:30:25.7224349Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-14T21:30:25.7224359Z 
2025-08-14T21:30:25.7224449Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7224740Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7224816Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7225021Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7225091Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7225332Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.7225401Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.7225640Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 232, in forward
2025-08-14T21:30:25.7225771Z     query_states = self.q_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-08-14T21:30:25.7225773Z 
2025-08-14T21:30:25.7225866Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7226165Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7226233Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7226471Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7226546Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7226784Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.7226860Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.7227094Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-14T21:30:25.7227240Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-14T21:30:25.7227515Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 135, in apply_rotary_pos_emb
2025-08-14T21:30:25.7227596Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-08-14T21:30:25.7227850Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-14T21:30:25.7227921Z     return torch.cat((-x2, x1), dim=-1)
2025-08-14T21:30:25.7227924Z 
2025-08-14T21:30:25.7228028Z cudagraph partition due to non gpu ops
2025-08-14T21:30:25.7228131Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7228423Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7228498Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7228705Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7228776Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7229020Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.7229087Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.7229324Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-14T21:30:25.7229480Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-14T21:30:25.7229749Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 135, in apply_rotary_pos_emb
2025-08-14T21:30:25.7229839Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-08-14T21:30:25.7230087Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-14T21:30:25.7230155Z     return torch.cat((-x2, x1), dim=-1)
2025-08-14T21:30:25.7230157Z 
2025-08-14T21:30:25.7230261Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7230556Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7230634Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7230839Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7230913Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7231156Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.7231224Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.7231463Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 233, in forward
2025-08-14T21:30:25.7231594Z     key_states = self.k_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-08-14T21:30:25.7231597Z 
2025-08-14T21:30:25.7231690Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7232022Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7232089Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7232293Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7232375Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7232610Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.7232684Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.7232917Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-14T21:30:25.7233061Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-14T21:30:25.7233340Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 136, in apply_rotary_pos_emb
2025-08-14T21:30:25.7233420Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-08-14T21:30:25.7233674Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-14T21:30:25.7233771Z     return torch.cat((-x2, x1), dim=-1)
2025-08-14T21:30:25.7233774Z 
2025-08-14T21:30:25.7233845Z cudagraph partition due to non gpu ops
2025-08-14T21:30:25.7233946Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7234234Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7234306Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7234506Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7234577Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7234816Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.7234883Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.7235116Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-14T21:30:25.7235270Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-14T21:30:25.7235533Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 136, in apply_rotary_pos_emb
2025-08-14T21:30:25.7235619Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-08-14T21:30:25.7235858Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 110, in rotate_half
2025-08-14T21:30:25.7235927Z     return torch.cat((-x2, x1), dim=-1)
2025-08-14T21:30:25.7235930Z 
2025-08-14T21:30:25.7236032Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7236323Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7236399Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7236601Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7236671Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7236909Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.7236976Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.7237203Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-08-14T21:30:25.7237356Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-08-14T21:30:25.7237650Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 136, in apply_rotary_pos_emb
2025-08-14T21:30:25.7237735Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-08-14T21:30:25.7237741Z 
2025-08-14T21:30:25.7237834Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7238123Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7238196Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7238396Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7238472Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7238700Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.7238771Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.7239008Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 234, in forward
2025-08-14T21:30:25.7239141Z     value_states = self.v_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-08-14T21:30:25.7239179Z 
2025-08-14T21:30:25.7239260Z cudagraph partition due to non gpu ops
2025-08-14T21:30:25.7239332Z cudagraph partition due to non gpu ops
2025-08-14T21:30:25.7239402Z cudagraph partition due to non gpu ops
2025-08-14T21:30:25.7239478Z cudagraph partition due to non gpu ops
2025-08-14T21:30:25.7239570Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7239865Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7239938Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7240144Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7240224Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7240457Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.7240526Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.7240765Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 248, in forward
2025-08-14T21:30:25.7240854Z     attn_output, attn_weights = attention_interface(
2025-08-14T21:30:25.7241122Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T21:30:25.7241248Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T21:30:25.7241251Z 
2025-08-14T21:30:25.7241346Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7241652Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7241721Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7241926Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7242012Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7242244Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.7242320Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.7242554Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 248, in forward
2025-08-14T21:30:25.7242643Z     attn_output, attn_weights = attention_interface(
2025-08-14T21:30:25.7242921Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T21:30:25.7243021Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T21:30:25.7243051Z 
2025-08-14T21:30:25.7243154Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7243447Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7243516Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7243726Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7243800Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7244033Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 289, in forward
2025-08-14T21:30:25.7244108Z     hidden_states, _ = self.self_attn(
2025-08-14T21:30:25.7244342Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 260, in forward
2025-08-14T21:30:25.7244425Z     attn_output = self.o_proj(attn_output)
2025-08-14T21:30:25.7244431Z 
2025-08-14T21:30:25.7244525Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7244817Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7244931Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7245133Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7245216Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7245444Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-14T21:30:25.7245520Z     hidden_states = self.mlp(hidden_states)
2025-08-14T21:30:25.7245760Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-14T21:30:25.7245895Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-14T21:30:25.7245898Z 
2025-08-14T21:30:25.7245998Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7246288Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7246355Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7246564Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7246634Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7246863Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-14T21:30:25.7246946Z     hidden_states = self.mlp(hidden_states)
2025-08-14T21:30:25.7247176Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-14T21:30:25.7247317Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-14T21:30:25.7247320Z 
2025-08-14T21:30:25.7247413Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7247705Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7247782Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7247983Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7248063Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7248295Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-14T21:30:25.7248369Z     hidden_states = self.mlp(hidden_states)
2025-08-14T21:30:25.7248640Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-14T21:30:25.7248769Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-14T21:30:25.7248775Z 
2025-08-14T21:30:25.7248876Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7249168Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7249237Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7249449Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7249520Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7249754Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-08-14T21:30:25.7249839Z     hidden_states = self.mlp(hidden_states)
2025-08-14T21:30:25.7250070Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 152, in forward
2025-08-14T21:30:25.7250207Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-08-14T21:30:25.7250240Z 
2025-08-14T21:30:25.7250336Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:25.7250627Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 390, in torch_dynamo_resume_in_forward_at_366
2025-08-14T21:30:25.7250701Z     hidden_states = decoder_layer(
2025-08-14T21:30:25.7250905Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:30:25.7250984Z     return super().__call__(*args, **kwargs)
2025-08-14T21:30:25.7251214Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 305, in forward
2025-08-14T21:30:25.7251288Z     hidden_states = residual + hidden_states
2025-08-14T21:30:25.7251293Z 
2025-08-14T21:30:41.0475711Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:30:41.0476303Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 474, in torch_dynamo_resume_in_forward_at_460
2025-08-14T21:30:41.0476827Z     logits = self.lm_head(hidden_states[:, slice_indices, :])
2025-08-14T21:30:41.0476991Z 
2025-08-14T21:30:43.7019003Z 
2025-08-14T21:30:45.3469419Z running benchmark:   0% 0/50 [00:00<?, ?it/s]
2025-08-14T21:30:46.8862896Z running benchmark:   2% 1/50 [00:01<01:20,  1.64s/it]
2025-08-14T21:30:48.4311298Z running benchmark:   4% 2/50 [00:03<01:15,  1.58s/it]
2025-08-14T21:30:49.9516873Z running benchmark:   6% 3/50 [00:04<01:13,  1.57s/it]
2025-08-14T21:30:51.4813063Z running benchmark:   8% 4/50 [00:06<01:11,  1.55s/it]
2025-08-14T21:30:53.0103794Z running benchmark:  10% 5/50 [00:07<01:09,  1.54s/it]
2025-08-14T21:30:54.5364028Z running benchmark:  12% 6/50 [00:09<01:07,  1.54s/it]
2025-08-14T21:30:56.0731113Z running benchmark:  14% 7/50 [00:10<01:05,  1.53s/it]
2025-08-14T21:30:57.5962147Z running benchmark:  16% 8/50 [00:12<01:04,  1.53s/it]
2025-08-14T21:30:59.1197711Z running benchmark:  18% 9/50 [00:13<01:02,  1.53s/it]
2025-08-14T21:31:00.6526039Z running benchmark:  20% 10/50 [00:15<01:01,  1.53s/it]
2025-08-14T21:31:02.1890143Z running benchmark:  22% 11/50 [00:16<00:59,  1.53s/it]
2025-08-14T21:31:03.7198684Z running benchmark:  24% 12/50 [00:18<00:58,  1.53s/it]
2025-08-14T21:31:05.2377588Z running benchmark:  26% 13/50 [00:20<00:56,  1.53s/it]
2025-08-14T21:31:06.7676086Z running benchmark:  28% 14/50 [00:21<00:54,  1.53s/it]
2025-08-14T21:31:08.2980475Z running benchmark:  30% 15/50 [00:23<00:53,  1.53s/it]
2025-08-14T21:31:09.8157531Z running benchmark:  32% 16/50 [00:24<00:51,  1.53s/it]
2025-08-14T21:31:11.3406502Z running benchmark:  34% 17/50 [00:26<00:50,  1.53s/it]
2025-08-14T21:31:12.8684332Z running benchmark:  36% 18/50 [00:27<00:48,  1.53s/it]
2025-08-14T21:31:14.3881809Z running benchmark:  38% 19/50 [00:29<00:47,  1.53s/it]
2025-08-14T21:31:15.9186237Z running benchmark:  40% 20/50 [00:30<00:45,  1.52s/it]
2025-08-14T21:31:17.4485739Z running benchmark:  42% 21/50 [00:32<00:44,  1.53s/it]
2025-08-14T21:31:18.9716815Z running benchmark:  44% 22/50 [00:33<00:42,  1.53s/it]
2025-08-14T21:31:20.5013040Z running benchmark:  46% 23/50 [00:35<00:41,  1.53s/it]
2025-08-14T21:31:22.0259094Z running benchmark:  48% 24/50 [00:36<00:39,  1.53s/it]
2025-08-14T21:31:23.5580403Z running benchmark:  50% 25/50 [00:38<00:38,  1.53s/it]
2025-08-14T21:31:25.0809499Z running benchmark:  52% 26/50 [00:39<00:36,  1.53s/it]
2025-08-14T21:31:26.6103127Z running benchmark:  54% 27/50 [00:41<00:35,  1.53s/it]
2025-08-14T21:31:28.1415335Z running benchmark:  56% 28/50 [00:42<00:33,  1.53s/it]
2025-08-14T21:31:29.6652577Z running benchmark:  58% 29/50 [00:44<00:32,  1.53s/it]
2025-08-14T21:31:31.1979887Z running benchmark:  60% 30/50 [00:45<00:30,  1.53s/it]
2025-08-14T21:31:32.7172785Z running benchmark:  62% 31/50 [00:47<00:29,  1.53s/it]
2025-08-14T21:31:34.2386392Z running benchmark:  64% 32/50 [00:49<00:27,  1.53s/it]
2025-08-14T21:31:35.7723479Z running benchmark:  66% 33/50 [00:50<00:25,  1.52s/it]
2025-08-14T21:31:37.2926735Z running benchmark:  68% 34/50 [00:52<00:24,  1.53s/it]
2025-08-14T21:31:38.8283684Z running benchmark:  70% 35/50 [00:53<00:22,  1.53s/it]
2025-08-14T21:31:40.3502767Z running benchmark:  72% 36/50 [00:55<00:21,  1.53s/it]
2025-08-14T21:31:41.8709254Z running benchmark:  74% 37/50 [00:56<00:19,  1.53s/it]
2025-08-14T21:31:43.4000484Z running benchmark:  76% 38/50 [00:58<00:18,  1.52s/it]
2025-08-14T21:31:44.9253549Z running benchmark:  78% 39/50 [00:59<00:16,  1.53s/it]
2025-08-14T21:31:46.4610490Z running benchmark:  80% 40/50 [01:01<00:15,  1.53s/it]
2025-08-14T21:31:48.0031274Z running benchmark:  82% 41/50 [01:02<00:13,  1.53s/it]
2025-08-14T21:31:49.5244379Z running benchmark:  84% 42/50 [01:04<00:12,  1.53s/it]
2025-08-14T21:31:51.0594127Z running benchmark:  86% 43/50 [01:05<00:10,  1.53s/it]
2025-08-14T21:31:52.5836261Z running benchmark:  88% 44/50 [01:07<00:09,  1.53s/it]
2025-08-14T21:31:54.1157457Z running benchmark:  90% 45/50 [01:08<00:07,  1.53s/it]
2025-08-14T21:31:55.6375293Z running benchmark:  92% 46/50 [01:10<00:06,  1.53s/it]
2025-08-14T21:31:57.1672864Z running benchmark:  94% 47/50 [01:11<00:04,  1.53s/it]
2025-08-14T21:31:58.7076712Z running benchmark:  96% 48/50 [01:13<00:03,  1.53s/it]
2025-08-14T21:32:00.2340035Z running benchmark:  98% 49/50 [01:15<00:01,  1.53s/it]
2025-08-14T21:32:00.2340450Z running benchmark: 100% 50/50 [01:16<00:00,  1.53s/it]
2025-08-14T21:32:00.2340774Z running benchmark: 100% 50/50 [01:16<00:00,  1.53s/it]
2025-08-14T21:32:00.8763246Z 1.294x
2025-08-14T21:32:00.8763663Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T21:32:03.1335161Z + cat /var/lib/jenkins/workspace/test/test-reports/inductor_inference_llama_v2_7b_16h_inductor_float32_dynamic_cpu_smoketest.csv
2025-08-14T21:32:03.1349780Z 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
2025-08-14T21:32:03.1350494Z cpu,llama_v2_7b_16h,1,1.294212,666.253564,32.542020,0.955209,4521.722266,4733.752525,986,3,5,1,0,0,3
2025-08-14T21:32:03.1351129Z + 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
2025-08-14T21:32:03.3799631Z llama_v2_7b_16h                    1.294212
2025-08-14T21:32:03.4147624Z + IFS=,
2025-08-14T21:32:03.4147834Z + read -r -a model_cfg
2025-08-14T21:32:03.4148066Z + local model_name=resnet50
2025-08-14T21:32:03.4148278Z + local data_type=float32
2025-08-14T21:32:03.4149205Z + local speedup_target=1.67742767
2025-08-14T21:32:03.4149474Z + local backend=inductor
2025-08-14T21:32:03.4149965Z + [[ default == \c\p\p ]]
2025-08-14T21:32:03.4150181Z + unset TORCHINDUCTOR_CPP_WRAPPER
2025-08-14T21:32:03.4150676Z + local output_name=/var/lib/jenkins/workspace/test/test-reports/inductor_inference_resnet50_inductor_float32_dynamic_cpu_smoketest.csv
2025-08-14T21:32:03.4151173Z + [[ dynamic == \d\y\n\a\m\i\c ]]
2025-08-14T21:32:03.4152095Z + 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
2025-08-14T21:32:05.4670584Z 
2025-08-14T21:32:05.7604118Z 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
2025-08-14T21:32:05.7749808Z 
2025-08-14T21:32:05.7749815Z 
2025-08-14T21:32:05.8753978Z   0% 0.00/97.8M [00:00<?, ?B/s]
2025-08-14T21:32:05.8754185Z 
2025-08-14T21:32:05.9542117Z  54% 53.1M/97.8M [00:00<00:00, 556MB/s]
2025-08-14T21:32:05.9542469Z 100% 97.8M/97.8M [00:00<00:00, 573MB/s]
2025-08-14T21:32:06.3708473Z 
2025-08-14T21:32:06.3708951Z loading model: 0it [00:00, ?it/s]
2025-08-14T21:32:06.3724883Z cpu  eval  resnet50                           
2025-08-14T21:32:14.3907932Z cudagraph partition due to non gpu ops
2025-08-14T21:32:14.3908289Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:14.3908665Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:14.3908987Z     return mod(*inputs)
2025-08-14T21:32:14.3909321Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:32:14.3909663Z     return self._forward_impl(x)
2025-08-14T21:32:14.3910010Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 270, in _forward_impl
2025-08-14T21:32:14.3910373Z     x = self.relu(x)
2025-08-14T21:32:14.3910479Z 
2025-08-14T21:32:14.3910581Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:14.3910928Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:14.3911264Z     return mod(*inputs)
2025-08-14T21:32:14.3911568Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:32:14.3911901Z     return self._forward_impl(x)
2025-08-14T21:32:14.3912236Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 270, in _forward_impl
2025-08-14T21:32:14.3912562Z     x = self.relu(x)
2025-08-14T21:32:14.3912792Z 
2025-08-14T21:32:14.3912899Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:14.3913240Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:14.3913545Z     return mod(*inputs)
2025-08-14T21:32:14.3913849Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:32:14.3914178Z     return self._forward_impl(x)
2025-08-14T21:32:14.3914515Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 271, in _forward_impl
2025-08-14T21:32:14.3914854Z     x = self.maxpool(x)
2025-08-14T21:32:14.3914949Z 
2025-08-14T21:32:14.3915047Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:14.3915380Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:14.3915675Z     return mod(*inputs)
2025-08-14T21:32:14.3915960Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:32:14.3916281Z     return self._forward_impl(x)
2025-08-14T21:32:14.3916607Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-08-14T21:32:14.3917235Z     x = self.layer1(x)
2025-08-14T21:32:14.3917540Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-14T21:32:14.3917873Z     out = self.relu(out)
2025-08-14T21:32:14.3917978Z 
2025-08-14T21:32:14.3918085Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:14.3918410Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:14.3918711Z     return mod(*inputs)
2025-08-14T21:32:14.3919003Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:32:14.3919319Z     return self._forward_impl(x)
2025-08-14T21:32:14.3919630Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-08-14T21:32:14.3919954Z     x = self.layer1(x)
2025-08-14T21:32:14.3920245Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-14T21:32:14.3920551Z     out = self.relu(out)
2025-08-14T21:32:14.3920660Z 
2025-08-14T21:32:14.3920755Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:14.3921183Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:14.3921478Z     return mod(*inputs)
2025-08-14T21:32:14.3921761Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:32:14.3922074Z     return self._forward_impl(x)
2025-08-14T21:32:14.3922392Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-08-14T21:32:14.3922709Z     x = self.layer1(x)
2025-08-14T21:32:14.3922999Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-14T21:32:14.3944085Z     out = self.relu(out)
2025-08-14T21:32:14.3944235Z 
2025-08-14T21:32:14.3944357Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:14.3944728Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:14.3945060Z     return mod(*inputs)
2025-08-14T21:32:14.3945397Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:32:14.3945731Z     return self._forward_impl(x)
2025-08-14T21:32:14.3946070Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-08-14T21:32:14.3946412Z     x = self.layer1(x)
2025-08-14T21:32:14.3946703Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-14T21:32:14.3947027Z     out = self.relu(out)
2025-08-14T21:32:14.3947140Z 
2025-08-14T21:32:14.3947241Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:14.3947592Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:14.3947893Z     return mod(*inputs)
2025-08-14T21:32:14.3948199Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:32:14.3948529Z     return self._forward_impl(x)
2025-08-14T21:32:14.3948850Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-08-14T21:32:14.3949181Z     x = self.layer1(x)
2025-08-14T21:32:14.3949479Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-08-14T21:32:14.3949801Z     out = self.relu(out)
2025-08-14T21:32:14.3949896Z 
2025-08-14T21:32:14.3949996Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:14.3950332Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:14.3950635Z     return mod(*inputs)
2025-08-14T21:32:14.3951005Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:32:14.3951333Z     return self._forward_impl(x)
2025-08-14T21:32:14.3951665Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-08-14T21:32:14.3951997Z     x = self.layer1(x)
2025-08-14T21:32:14.3952280Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-08-14T21:32:14.3952602Z     out = self.relu(out)
2025-08-14T21:32:14.3952700Z 
2025-08-14T21:32:14.3952788Z cudagraph partition due to non gpu ops
2025-08-14T21:32:14.3953012Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:14.3953353Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:14.3953657Z     return mod(*inputs)
2025-08-14T21:32:14.3953956Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:32:14.3954274Z     return self._forward_impl(x)
2025-08-14T21:32:14.3954601Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-08-14T21:32:14.3954979Z     x = self.layer1(x)
2025-08-14T21:32:14.3955261Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-14T21:32:14.3955577Z     out = self.relu(out)
2025-08-14T21:32:14.3955683Z 
2025-08-14T21:32:14.3955784Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:14.3956120Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:14.3956412Z     return mod(*inputs)
2025-08-14T21:32:14.3956704Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:32:14.3957030Z     return self._forward_impl(x)
2025-08-14T21:32:14.3957348Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-08-14T21:32:14.3957679Z     x = self.layer1(x)
2025-08-14T21:32:14.3957974Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-14T21:32:14.3958295Z     out = self.relu(out)
2025-08-14T21:32:14.3958391Z 
2025-08-14T21:32:14.3958490Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:14.3958825Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:14.3959123Z     return mod(*inputs)
2025-08-14T21:32:14.3959410Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:32:14.3959733Z     return self._forward_impl(x)
2025-08-14T21:32:14.3960056Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-08-14T21:32:14.3960385Z     x = self.layer1(x)
2025-08-14T21:32:14.3960667Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-14T21:32:14.3960990Z     out = self.relu(out)
2025-08-14T21:32:14.3961084Z 
2025-08-14T21:32:14.3961188Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:14.3961514Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:14.3961813Z     return mod(*inputs)
2025-08-14T21:32:14.3962103Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:32:14.3962424Z     return self._forward_impl(x)
2025-08-14T21:32:14.3962742Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-08-14T21:32:14.3963074Z     x = self.layer1(x)
2025-08-14T21:32:14.3963423Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-14T21:32:14.3963736Z     out = self.relu(out)
2025-08-14T21:32:14.3963843Z 
2025-08-14T21:32:14.3963921Z cudagraph partition due to non gpu ops
2025-08-14T21:32:14.3964151Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:14.3964484Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:14.3964776Z     return mod(*inputs)
2025-08-14T21:32:14.3965068Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:32:14.3965392Z     return self._forward_impl(x)
2025-08-14T21:32:14.3965707Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-08-14T21:32:14.3966033Z     x = self.layer1(x)
2025-08-14T21:32:14.3966320Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-14T21:32:14.3966641Z     out = self.relu(out)
2025-08-14T21:32:14.3966735Z 
2025-08-14T21:32:14.3966830Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:14.3967164Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:14.3967503Z     return mod(*inputs)
2025-08-14T21:32:14.3967790Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:32:14.3968113Z     return self._forward_impl(x)
2025-08-14T21:32:14.3968438Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-08-14T21:32:14.3968772Z     x = self.layer1(x)
2025-08-14T21:32:14.3969055Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-14T21:32:14.3969375Z     out = self.relu(out)
2025-08-14T21:32:14.3969469Z 
2025-08-14T21:32:14.3969573Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:14.3969993Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:14.3970299Z     return mod(*inputs)
2025-08-14T21:32:14.3970597Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:32:14.3970923Z     return self._forward_impl(x)
2025-08-14T21:32:14.3971242Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-08-14T21:32:14.3971575Z     x = self.layer1(x)
2025-08-14T21:32:14.3971874Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-14T21:32:14.3972186Z     out = self.relu(out)
2025-08-14T21:32:14.3972298Z 
2025-08-14T21:32:14.3972395Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:14.3972731Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:14.3973038Z     return mod(*inputs)
2025-08-14T21:32:14.3973325Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:32:14.3973651Z     return self._forward_impl(x)
2025-08-14T21:32:14.3973976Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-08-14T21:32:14.3974296Z     x = self.layer1(x)
2025-08-14T21:32:14.3974590Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-14T21:32:14.3974906Z     out = self.relu(out)
2025-08-14T21:32:14.3975005Z 
2025-08-14T21:32:14.3975090Z cudagraph partition due to non gpu ops
2025-08-14T21:32:14.3975309Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:14.3975643Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:14.3975945Z     return mod(*inputs)
2025-08-14T21:32:14.3976326Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:32:14.3976654Z     return self._forward_impl(x)
2025-08-14T21:32:14.3976986Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-08-14T21:32:14.3977316Z     x = self.layer2(x)
2025-08-14T21:32:14.3977605Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-14T21:32:14.3977930Z     out = self.relu(out)
2025-08-14T21:32:14.3978029Z 
2025-08-14T21:32:14.3978137Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:14.3978462Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:14.3978767Z     return mod(*inputs)
2025-08-14T21:32:14.3979061Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:32:14.3979391Z     return self._forward_impl(x)
2025-08-14T21:32:14.3979713Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-08-14T21:32:14.3980098Z     x = self.layer2(x)
2025-08-14T21:32:14.3980390Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-14T21:32:14.3980703Z     out = self.relu(out)
2025-08-14T21:32:14.3980805Z 
2025-08-14T21:32:14.3980901Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:14.3981234Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:14.3981531Z     return mod(*inputs)
2025-08-14T21:32:14.3981831Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:32:14.3982146Z     return self._forward_impl(x)
2025-08-14T21:32:14.3982476Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-08-14T21:32:14.3982807Z     x = self.layer2(x)
2025-08-14T21:32:14.3983097Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-14T21:32:14.3983412Z     out = self.relu(out)
2025-08-14T21:32:14.3983518Z 
2025-08-14T21:32:14.3983614Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:14.3983954Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:14.3984250Z     return mod(*inputs)
2025-08-14T21:32:14.3984545Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:32:14.3984869Z     return self._forward_impl(x)
2025-08-14T21:32:14.3985194Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-08-14T21:32:14.3985516Z     x = self.layer2(x)
2025-08-14T21:32:14.3985813Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-14T21:32:14.3986132Z     out = self.relu(out)
2025-08-14T21:32:14.3986228Z 
2025-08-14T21:32:14.3986327Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:14.3986661Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:14.3986962Z     return mod(*inputs)
2025-08-14T21:32:14.3987255Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:32:14.3987569Z     return self._forward_impl(x)
2025-08-14T21:32:14.3987894Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-08-14T21:32:14.3988227Z     x = self.layer2(x)
2025-08-14T21:32:14.3988511Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-08-14T21:32:14.3988827Z     out = self.relu(out)
2025-08-14T21:32:14.3989016Z 
2025-08-14T21:32:14.3989113Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:14.3989447Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:14.3989742Z     return mod(*inputs)
2025-08-14T21:32:14.3990033Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:32:14.3990355Z     return self._forward_impl(x)
2025-08-14T21:32:14.3990667Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-08-14T21:32:14.3990994Z     x = self.layer2(x)
2025-08-14T21:32:14.3991282Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-08-14T21:32:14.3991597Z     out = self.relu(out)
2025-08-14T21:32:14.3991695Z 
2025-08-14T21:32:14.3991772Z cudagraph partition due to non gpu ops
2025-08-14T21:32:14.3992002Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:14.3992337Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:14.3992668Z     return mod(*inputs)
2025-08-14T21:32:14.3992963Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:32:14.3993283Z     return self._forward_impl(x)
2025-08-14T21:32:14.3993606Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-08-14T21:32:14.3993927Z     x = self.layer2(x)
2025-08-14T21:32:14.3994220Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-14T21:32:14.3994533Z     out = self.relu(out)
2025-08-14T21:32:14.3994629Z 
2025-08-14T21:32:14.3994724Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:14.3995057Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:14.3995358Z     return mod(*inputs)
2025-08-14T21:32:14.3995652Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:32:14.3995968Z     return self._forward_impl(x)
2025-08-14T21:32:14.3996293Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-08-14T21:32:14.3996624Z     x = self.layer2(x)
2025-08-14T21:32:14.3996906Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-14T21:32:14.3997222Z     out = self.relu(out)
2025-08-14T21:32:14.3997329Z 
2025-08-14T21:32:14.3997424Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:14.3997755Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:14.3998045Z     return mod(*inputs)
2025-08-14T21:32:14.3998345Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:32:14.3998670Z     return self._forward_impl(x)
2025-08-14T21:32:14.3998986Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-08-14T21:32:14.3999322Z     x = self.layer2(x)
2025-08-14T21:32:14.3999615Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-14T21:32:14.3999933Z     out = self.relu(out)
2025-08-14T21:32:14.4000029Z 
2025-08-14T21:32:14.4000123Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:14.4000455Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:14.4000754Z     return mod(*inputs)
2025-08-14T21:32:14.4001037Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:32:14.4001358Z     return self._forward_impl(x)
2025-08-14T21:32:14.4001713Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-08-14T21:32:14.4002047Z     x = self.layer2(x)
2025-08-14T21:32:14.4002327Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-14T21:32:14.4002642Z     out = self.relu(out)
2025-08-14T21:32:14.4002740Z 
2025-08-14T21:32:14.4002824Z cudagraph partition due to non gpu ops
2025-08-14T21:32:14.4003041Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:14.4003373Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:14.4003673Z     return mod(*inputs)
2025-08-14T21:32:14.4003967Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:32:14.4004278Z     return self._forward_impl(x)
2025-08-14T21:32:14.4004602Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-08-14T21:32:14.4004931Z     x = self.layer2(x)
2025-08-14T21:32:14.4005208Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-14T21:32:14.4005560Z     out = self.relu(out)
2025-08-14T21:32:14.4005662Z 
2025-08-14T21:32:14.4005756Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:14.4006080Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:14.4006369Z     return mod(*inputs)
2025-08-14T21:32:14.4006658Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:32:14.4006977Z     return self._forward_impl(x)
2025-08-14T21:32:14.4007289Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-08-14T21:32:14.4007617Z     x = self.layer2(x)
2025-08-14T21:32:14.4007907Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-14T21:32:14.4008218Z     out = self.relu(out)
2025-08-14T21:32:14.4008318Z 
2025-08-14T21:32:14.4008413Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:14.4008748Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:14.4009044Z     return mod(*inputs)
2025-08-14T21:32:14.4009324Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:32:14.4009646Z     return self._forward_impl(x)
2025-08-14T21:32:14.4009967Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-08-14T21:32:14.4010294Z     x = self.layer2(x)
2025-08-14T21:32:14.4010575Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-14T21:32:14.4010896Z     out = self.relu(out)
2025-08-14T21:32:14.4010992Z 
2025-08-14T21:32:14.4011097Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:14.4011425Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:14.4011721Z     return mod(*inputs)
2025-08-14T21:32:14.4012014Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:32:14.4012335Z     return self._forward_impl(x)
2025-08-14T21:32:14.4012653Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-08-14T21:32:14.4012981Z     x = self.layer2(x)
2025-08-14T21:32:14.4013273Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-14T21:32:14.4013580Z     out = self.relu(out)
2025-08-14T21:32:14.4013685Z 
2025-08-14T21:32:14.4013760Z cudagraph partition due to non gpu ops
2025-08-14T21:32:14.4014947Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:14.4015291Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:14.4015584Z     return mod(*inputs)
2025-08-14T21:32:14.4015878Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:32:14.4016203Z     return self._forward_impl(x)
2025-08-14T21:32:14.4016524Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-08-14T21:32:14.4016857Z     x = self.layer2(x)
2025-08-14T21:32:14.4017150Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-14T21:32:14.4017468Z     out = self.relu(out)
2025-08-14T21:32:14.4017564Z 
2025-08-14T21:32:14.4017658Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:14.4017999Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:14.4018303Z     return mod(*inputs)
2025-08-14T21:32:14.4018586Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:32:14.4018949Z     return self._forward_impl(x)
2025-08-14T21:32:14.4019273Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-08-14T21:32:14.4019605Z     x = self.layer2(x)
2025-08-14T21:32:14.4019888Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-14T21:32:14.4020210Z     out = self.relu(out)
2025-08-14T21:32:14.4020306Z 
2025-08-14T21:32:14.4020411Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:14.4020738Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:14.4021042Z     return mod(*inputs)
2025-08-14T21:32:14.4021341Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:32:14.4021665Z     return self._forward_impl(x)
2025-08-14T21:32:14.4021999Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-08-14T21:32:14.4022324Z     x = self.layer2(x)
2025-08-14T21:32:14.4022613Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-14T21:32:14.4022932Z     out = self.relu(out)
2025-08-14T21:32:14.4023028Z 
2025-08-14T21:32:14.4023131Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:14.4023460Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:14.4023756Z     return mod(*inputs)
2025-08-14T21:32:14.4024051Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:32:14.4024372Z     return self._forward_impl(x)
2025-08-14T21:32:14.4024698Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-08-14T21:32:14.4025034Z     x = self.layer2(x)
2025-08-14T21:32:14.4025318Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-14T21:32:14.4025635Z     out = self.relu(out)
2025-08-14T21:32:14.4025739Z 
2025-08-14T21:32:14.4025817Z cudagraph partition due to non gpu ops
2025-08-14T21:32:14.4026042Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:14.4026368Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:14.4026667Z     return mod(*inputs)
2025-08-14T21:32:14.4026963Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:32:14.4027279Z     return self._forward_impl(x)
2025-08-14T21:32:14.4027644Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-14T21:32:14.4027972Z     x = self.layer3(x)
2025-08-14T21:32:14.4028265Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-14T21:32:14.4028571Z     out = self.relu(out)
2025-08-14T21:32:14.4028674Z 
2025-08-14T21:32:14.4028768Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:14.4029101Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:14.4029396Z     return mod(*inputs)
2025-08-14T21:32:14.4029682Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:32:14.4030002Z     return self._forward_impl(x)
2025-08-14T21:32:14.4030326Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-14T21:32:14.4030652Z     x = self.layer3(x)
2025-08-14T21:32:14.4030941Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-14T21:32:14.4031293Z     out = self.relu(out)
2025-08-14T21:32:14.4031387Z 
2025-08-14T21:32:14.4031492Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:14.4031820Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:14.4032119Z     return mod(*inputs)
2025-08-14T21:32:14.4032409Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:32:14.4032722Z     return self._forward_impl(x)
2025-08-14T21:32:14.4033045Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-14T21:32:14.4033373Z     x = self.layer3(x)
2025-08-14T21:32:14.4033658Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-14T21:32:14.4033976Z     out = self.relu(out)
2025-08-14T21:32:14.4034080Z 
2025-08-14T21:32:14.4034176Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:14.4034514Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:14.4034808Z     return mod(*inputs)
2025-08-14T21:32:14.4035102Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:32:14.4035426Z     return self._forward_impl(x)
2025-08-14T21:32:14.4035749Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-14T21:32:14.4036068Z     x = self.layer3(x)
2025-08-14T21:32:14.4036359Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-14T21:32:14.4036677Z     out = self.relu(out)
2025-08-14T21:32:14.4036773Z 
2025-08-14T21:32:14.4036872Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:14.4037202Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:14.4037502Z     return mod(*inputs)
2025-08-14T21:32:14.4037792Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:32:14.4038104Z     return self._forward_impl(x)
2025-08-14T21:32:14.4038428Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-14T21:32:14.4038757Z     x = self.layer3(x)
2025-08-14T21:32:14.4039039Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-08-14T21:32:14.4039354Z     out = self.relu(out)
2025-08-14T21:32:14.4039450Z 
2025-08-14T21:32:14.4039554Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:14.4039925Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:14.4040217Z     return mod(*inputs)
2025-08-14T21:32:14.4040518Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:32:14.4040833Z     return self._forward_impl(x)
2025-08-14T21:32:14.4041158Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-14T21:32:14.4041486Z     x = self.layer3(x)
2025-08-14T21:32:14.4041767Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-08-14T21:32:14.4042085Z     out = self.relu(out)
2025-08-14T21:32:14.4042187Z 
2025-08-14T21:32:14.4042261Z cudagraph partition due to non gpu ops
2025-08-14T21:32:14.4042482Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:14.4042805Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:14.4043106Z     return mod(*inputs)
2025-08-14T21:32:14.4043401Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:32:14.4043746Z     return self._forward_impl(x)
2025-08-14T21:32:14.4044070Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-14T21:32:14.4044394Z     x = self.layer3(x)
2025-08-14T21:32:14.4044683Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-14T21:32:14.4044989Z     out = self.relu(out)
2025-08-14T21:32:14.4045089Z 
2025-08-14T21:32:14.4045183Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:14.4045512Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:14.4045801Z     return mod(*inputs)
2025-08-14T21:32:14.4046086Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:32:14.4046399Z     return self._forward_impl(x)
2025-08-14T21:32:14.4046710Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-14T21:32:14.4047028Z     x = self.layer3(x)
2025-08-14T21:32:14.4047307Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-14T21:32:14.4047611Z     out = self.relu(out)
2025-08-14T21:32:14.4047704Z 
2025-08-14T21:32:14.4047803Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:14.4048125Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:14.4048419Z     return mod(*inputs)
2025-08-14T21:32:14.4048706Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:32:14.4049012Z     return self._forward_impl(x)
2025-08-14T21:32:14.4049330Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-14T21:32:14.4049657Z     x = self.layer3(x)
2025-08-14T21:32:14.4049937Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-14T21:32:14.4050248Z     out = self.relu(out)
2025-08-14T21:32:14.4050349Z 
2025-08-14T21:32:14.4050440Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:14.4050764Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:14.4051053Z     return mod(*inputs)
2025-08-14T21:32:14.4051341Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:32:14.4051656Z     return self._forward_impl(x)
2025-08-14T21:32:14.4051971Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-14T21:32:14.4052328Z     x = self.layer3(x)
2025-08-14T21:32:14.4052618Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-14T21:32:14.4052931Z     out = self.relu(out)
2025-08-14T21:32:14.4053025Z 
2025-08-14T21:32:14.4053098Z cudagraph partition due to non gpu ops
2025-08-14T21:32:14.4053322Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:14.4053650Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:14.4053945Z     return mod(*inputs)
2025-08-14T21:32:14.4054228Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:32:14.4054546Z     return self._forward_impl(x)
2025-08-14T21:32:14.4054868Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-14T21:32:14.4055186Z     x = self.layer3(x)
2025-08-14T21:32:14.4055478Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-14T21:32:14.4055794Z     out = self.relu(out)
2025-08-14T21:32:14.4055887Z 
2025-08-14T21:32:14.4056037Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:14.4056359Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:14.4056655Z     return mod(*inputs)
2025-08-14T21:32:14.4056945Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:32:14.4057255Z     return self._forward_impl(x)
2025-08-14T21:32:14.4057574Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-14T21:32:14.4057898Z     x = self.layer3(x)
2025-08-14T21:32:14.4058177Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-14T21:32:14.4058493Z     out = self.relu(out)
2025-08-14T21:32:14.4058596Z 
2025-08-14T21:32:14.4058690Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:14.4059017Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:14.4059308Z     return mod(*inputs)
2025-08-14T21:32:14.4059595Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:32:14.4059915Z     return self._forward_impl(x)
2025-08-14T21:32:14.4060232Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-14T21:32:14.4060548Z     x = self.layer3(x)
2025-08-14T21:32:14.4060834Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-14T21:32:14.4061147Z     out = self.relu(out)
2025-08-14T21:32:14.4061241Z 
2025-08-14T21:32:14.4061333Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:14.4061668Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:14.4061962Z     return mod(*inputs)
2025-08-14T21:32:14.4062255Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:32:14.4062566Z     return self._forward_impl(x)
2025-08-14T21:32:14.4062888Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-14T21:32:14.4063213Z     x = self.layer3(x)
2025-08-14T21:32:14.4063493Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-14T21:32:14.4063810Z     out = self.relu(out)
2025-08-14T21:32:14.4063904Z 
2025-08-14T21:32:14.4063987Z cudagraph partition due to non gpu ops
2025-08-14T21:32:14.4064211Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:14.4064565Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:14.4064869Z     return mod(*inputs)
2025-08-14T21:32:14.4065166Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:32:14.4065488Z     return self._forward_impl(x)
2025-08-14T21:32:14.4065820Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-14T21:32:14.4066154Z     x = self.layer3(x)
2025-08-14T21:32:14.4066449Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-14T21:32:14.4066765Z     out = self.relu(out)
2025-08-14T21:32:14.4066874Z 
2025-08-14T21:32:14.4066972Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:14.4067314Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:14.4067616Z     return mod(*inputs)
2025-08-14T21:32:14.4067921Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:32:14.4068250Z     return self._forward_impl(x)
2025-08-14T21:32:14.4068613Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-14T21:32:14.4068938Z     x = self.layer3(x)
2025-08-14T21:32:14.4069235Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-14T21:32:14.4069555Z     out = self.relu(out)
2025-08-14T21:32:14.4069696Z 
2025-08-14T21:32:14.4069792Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:14.4070135Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:14.4070464Z     return mod(*inputs)
2025-08-14T21:32:14.4070762Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:32:14.4071085Z     return self._forward_impl(x)
2025-08-14T21:32:14.4071410Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-14T21:32:14.4071743Z     x = self.layer3(x)
2025-08-14T21:32:14.4072020Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-14T21:32:14.4072335Z     out = self.relu(out)
2025-08-14T21:32:14.4072432Z 
2025-08-14T21:32:14.4072533Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:14.4072868Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:14.4073161Z     return mod(*inputs)
2025-08-14T21:32:14.4073459Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:32:14.4073782Z     return self._forward_impl(x)
2025-08-14T21:32:14.4074100Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-14T21:32:14.4074431Z     x = self.layer3(x)
2025-08-14T21:32:14.4074721Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-14T21:32:14.4075038Z     out = self.relu(out)
2025-08-14T21:32:14.4075134Z 
2025-08-14T21:32:14.4075209Z cudagraph partition due to non gpu ops
2025-08-14T21:32:14.4075432Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:14.4075763Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:14.4076053Z     return mod(*inputs)
2025-08-14T21:32:14.4076345Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:32:14.4076665Z     return self._forward_impl(x)
2025-08-14T21:32:14.4076985Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-14T21:32:14.4077304Z     x = self.layer3(x)
2025-08-14T21:32:14.4077657Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-14T21:32:14.4077973Z     out = self.relu(out)
2025-08-14T21:32:14.4078072Z 
2025-08-14T21:32:14.4078168Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:14.4078499Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:14.4078799Z     return mod(*inputs)
2025-08-14T21:32:14.4079095Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:32:14.4079412Z     return self._forward_impl(x)
2025-08-14T21:32:14.4079739Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-14T21:32:14.4080074Z     x = self.layer3(x)
2025-08-14T21:32:14.4080358Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-14T21:32:14.4080684Z     out = self.relu(out)
2025-08-14T21:32:14.4080781Z 
2025-08-14T21:32:14.4080884Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:14.4081264Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:14.4081554Z     return mod(*inputs)
2025-08-14T21:32:14.4081846Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:32:14.4082167Z     return self._forward_impl(x)
2025-08-14T21:32:14.4082486Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-14T21:32:14.4082818Z     x = self.layer3(x)
2025-08-14T21:32:14.4083108Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-14T21:32:14.4083426Z     out = self.relu(out)
2025-08-14T21:32:14.4083520Z 
2025-08-14T21:32:14.4083619Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:14.4083955Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:14.4084257Z     return mod(*inputs)
2025-08-14T21:32:14.4084542Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:32:14.4084864Z     return self._forward_impl(x)
2025-08-14T21:32:14.4085188Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-14T21:32:14.4085517Z     x = self.layer3(x)
2025-08-14T21:32:14.4085796Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-14T21:32:14.4086108Z     out = self.relu(out)
2025-08-14T21:32:14.4086202Z 
2025-08-14T21:32:14.4086285Z cudagraph partition due to non gpu ops
2025-08-14T21:32:14.4086498Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:14.4086831Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:14.4087130Z     return mod(*inputs)
2025-08-14T21:32:14.4087426Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:32:14.4087742Z     return self._forward_impl(x)
2025-08-14T21:32:14.4088064Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-14T21:32:14.4088393Z     x = self.layer3(x)
2025-08-14T21:32:14.4088673Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-14T21:32:14.4088988Z     out = self.relu(out)
2025-08-14T21:32:14.4089086Z 
2025-08-14T21:32:14.4089180Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:14.4089513Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:14.4089801Z     return mod(*inputs)
2025-08-14T21:32:14.4090123Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:32:14.4090441Z     return self._forward_impl(x)
2025-08-14T21:32:14.4090758Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-14T21:32:14.4091085Z     x = self.layer3(x)
2025-08-14T21:32:14.4091373Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-14T21:32:14.4091691Z     out = self.relu(out)
2025-08-14T21:32:14.4091785Z 
2025-08-14T21:32:14.4091881Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:14.4092213Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:14.4092509Z     return mod(*inputs)
2025-08-14T21:32:14.4092796Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:32:14.4093117Z     return self._forward_impl(x)
2025-08-14T21:32:14.4093443Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-14T21:32:14.4093803Z     x = self.layer3(x)
2025-08-14T21:32:14.4094085Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-14T21:32:14.4094400Z     out = self.relu(out)
2025-08-14T21:32:14.4094494Z 
2025-08-14T21:32:14.4094599Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:14.4094924Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:14.4095224Z     return mod(*inputs)
2025-08-14T21:32:14.4095525Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:32:14.4095848Z     return self._forward_impl(x)
2025-08-14T21:32:14.4096172Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-14T21:32:14.4096508Z     x = self.layer3(x)
2025-08-14T21:32:14.4096801Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-14T21:32:14.4097114Z     out = self.relu(out)
2025-08-14T21:32:14.4097218Z 
2025-08-14T21:32:14.4097293Z cudagraph partition due to non gpu ops
2025-08-14T21:32:14.4097519Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:14.4097852Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:14.4098145Z     return mod(*inputs)
2025-08-14T21:32:14.4098439Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:32:14.4098763Z     return self._forward_impl(x)
2025-08-14T21:32:14.4099082Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-08-14T21:32:14.4099412Z     x = self.layer4(x)
2025-08-14T21:32:14.4099703Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-14T21:32:14.4100026Z     out = self.relu(out)
2025-08-14T21:32:14.4100122Z 
2025-08-14T21:32:14.4100219Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:14.4100553Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:14.4100850Z     return mod(*inputs)
2025-08-14T21:32:14.4101134Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:32:14.4101457Z     return self._forward_impl(x)
2025-08-14T21:32:14.4101787Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-08-14T21:32:14.4102114Z     x = self.layer4(x)
2025-08-14T21:32:14.4102444Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-14T21:32:14.4102760Z     out = self.relu(out)
2025-08-14T21:32:14.4102856Z 
2025-08-14T21:32:14.4102957Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:14.4103288Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:14.4103587Z     return mod(*inputs)
2025-08-14T21:32:14.4103881Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:32:14.4104200Z     return self._forward_impl(x)
2025-08-14T21:32:14.4104512Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-08-14T21:32:14.4104842Z     x = self.layer4(x)
2025-08-14T21:32:14.4105131Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-14T21:32:14.4105439Z     out = self.relu(out)
2025-08-14T21:32:14.4105543Z 
2025-08-14T21:32:14.4105643Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:14.4105979Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:14.4106316Z     return mod(*inputs)
2025-08-14T21:32:14.4106605Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:32:14.4106930Z     return self._forward_impl(x)
2025-08-14T21:32:14.4107258Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-08-14T21:32:14.4107583Z     x = self.layer4(x)
2025-08-14T21:32:14.4107876Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-14T21:32:14.4108197Z     out = self.relu(out)
2025-08-14T21:32:14.4108294Z 
2025-08-14T21:32:14.4108396Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:14.4108724Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:14.4109027Z     return mod(*inputs)
2025-08-14T21:32:14.4109325Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:32:14.4109640Z     return self._forward_impl(x)
2025-08-14T21:32:14.4109967Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-08-14T21:32:14.4110300Z     x = self.layer4(x)
2025-08-14T21:32:14.4110587Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-08-14T21:32:14.4110896Z     out = self.relu(out)
2025-08-14T21:32:14.4110999Z 
2025-08-14T21:32:14.4111092Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:14.4111423Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:14.4111713Z     return mod(*inputs)
2025-08-14T21:32:14.4112009Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:32:14.4112335Z     return self._forward_impl(x)
2025-08-14T21:32:14.4112662Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-08-14T21:32:14.4112982Z     x = self.layer4(x)
2025-08-14T21:32:14.4113269Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-08-14T21:32:14.4113591Z     out = self.relu(out)
2025-08-14T21:32:14.4113685Z 
2025-08-14T21:32:14.4113768Z cudagraph partition due to non gpu ops
2025-08-14T21:32:14.4113986Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:14.4114321Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:14.4114621Z     return mod(*inputs)
2025-08-14T21:32:14.4114949Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:32:14.4115278Z     return self._forward_impl(x)
2025-08-14T21:32:14.4115602Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-08-14T21:32:14.4115931Z     x = self.layer4(x)
2025-08-14T21:32:14.4116219Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-14T21:32:14.4116532Z     out = self.relu(out)
2025-08-14T21:32:14.4116627Z 
2025-08-14T21:32:14.4116730Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:14.4117057Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:14.4117359Z     return mod(*inputs)
2025-08-14T21:32:14.4117655Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:32:14.4117971Z     return self._forward_impl(x)
2025-08-14T21:32:14.4118298Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-08-14T21:32:14.4118630Z     x = self.layer4(x)
2025-08-14T21:32:14.4118950Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-14T21:32:14.4119257Z     out = self.relu(out)
2025-08-14T21:32:14.4119396Z 
2025-08-14T21:32:14.4119491Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:14.4119824Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:14.4120123Z     return mod(*inputs)
2025-08-14T21:32:14.4120408Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:32:14.4120728Z     return self._forward_impl(x)
2025-08-14T21:32:14.4121059Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-08-14T21:32:14.4121394Z     x = self.layer4(x)
2025-08-14T21:32:14.4121679Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-14T21:32:14.4122003Z     out = self.relu(out)
2025-08-14T21:32:14.4122101Z 
2025-08-14T21:32:14.4122206Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:14.4122541Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:14.4122837Z     return mod(*inputs)
2025-08-14T21:32:14.4123129Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:32:14.4123450Z     return self._forward_impl(x)
2025-08-14T21:32:14.4123767Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-08-14T21:32:14.4124099Z     x = self.layer4(x)
2025-08-14T21:32:14.4124392Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-14T21:32:14.4124709Z     out = self.relu(out)
2025-08-14T21:32:14.4124805Z 
2025-08-14T21:32:14.4124880Z cudagraph partition due to non gpu ops
2025-08-14T21:32:14.4125111Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:14.4125444Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:14.4125736Z     return mod(*inputs)
2025-08-14T21:32:14.4126027Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:32:14.4126350Z     return self._forward_impl(x)
2025-08-14T21:32:14.4126663Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-08-14T21:32:14.4126992Z     x = self.layer4(x)
2025-08-14T21:32:14.4127281Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-14T21:32:14.4127629Z     out = self.relu(out)
2025-08-14T21:32:14.4127728Z 
2025-08-14T21:32:14.4127822Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:14.4128155Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:14.4128454Z     return mod(*inputs)
2025-08-14T21:32:14.4128745Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:32:14.4129058Z     return self._forward_impl(x)
2025-08-14T21:32:14.4129379Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-08-14T21:32:14.4129707Z     x = self.layer4(x)
2025-08-14T21:32:14.4129991Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-14T21:32:14.4130305Z     out = self.relu(out)
2025-08-14T21:32:14.4130403Z 
2025-08-14T21:32:14.4130505Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:14.4130839Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:14.4131133Z     return mod(*inputs)
2025-08-14T21:32:14.4131464Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:32:14.4131784Z     return self._forward_impl(x)
2025-08-14T21:32:14.4132096Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-08-14T21:32:14.4132424Z     x = self.layer4(x)
2025-08-14T21:32:14.4132711Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-14T21:32:14.4133027Z     out = self.relu(out)
2025-08-14T21:32:14.4133121Z 
2025-08-14T21:32:14.4133216Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:14.4133542Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:14.4133842Z     return mod(*inputs)
2025-08-14T21:32:14.4134128Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:32:14.4134450Z     return self._forward_impl(x)
2025-08-14T21:32:14.4134772Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-08-14T21:32:14.4135098Z     x = self.layer4(x)
2025-08-14T21:32:14.4135376Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-14T21:32:14.4135694Z     out = self.relu(out)
2025-08-14T21:32:14.4135788Z 
2025-08-14T21:32:14.4135873Z cudagraph partition due to non gpu ops
2025-08-14T21:32:14.4136066Z cudagraph partition due to non gpu ops
2025-08-14T21:32:14.4136289Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:32:14.4136624Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:32:14.4136925Z     return mod(*inputs)
2025-08-14T21:32:14.4137209Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:32:14.4137533Z     return self._forward_impl(x)
2025-08-14T21:32:14.4137860Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 278, in _forward_impl
2025-08-14T21:32:14.4138183Z     x = self.avgpool(x)
2025-08-14T21:32:14.4138285Z 
2025-08-14T21:32:14.4138359Z cudagraph partition due to non gpu ops
2025-08-14T21:32:22.9220726Z 
2025-08-14T21:32:23.0874042Z running benchmark:   0% 0/50 [00:00<?, ?it/s]
2025-08-14T21:32:23.2319037Z running benchmark:   2% 1/50 [00:00<00:08,  6.04it/s]
2025-08-14T21:32:23.3764727Z running benchmark:   4% 2/50 [00:00<00:07,  6.53it/s]
2025-08-14T21:32:23.5205387Z running benchmark:   6% 3/50 [00:00<00:07,  6.70it/s]
2025-08-14T21:32:23.6777006Z running benchmark:   8% 4/50 [00:00<00:06,  6.79it/s]
2025-08-14T21:32:23.8218957Z running benchmark:  10% 5/50 [00:00<00:06,  6.63it/s]
2025-08-14T21:32:23.9659026Z running benchmark:  12% 6/50 [00:00<00:06,  6.73it/s]
2025-08-14T21:32:24.1102245Z running benchmark:  14% 7/50 [00:01<00:06,  6.80it/s]
2025-08-14T21:32:24.2543908Z running benchmark:  16% 8/50 [00:01<00:06,  6.84it/s]
2025-08-14T21:32:24.3985840Z running benchmark:  18% 9/50 [00:01<00:05,  6.87it/s]
2025-08-14T21:32:24.5429112Z running benchmark:  20% 10/50 [00:01<00:05,  6.89it/s]
2025-08-14T21:32:24.6905179Z running benchmark:  22% 11/50 [00:01<00:05,  6.90it/s]
2025-08-14T21:32:24.8459983Z running benchmark:  24% 12/50 [00:01<00:05,  6.86it/s]
2025-08-14T21:32:24.9942479Z running benchmark:  26% 13/50 [00:01<00:05,  6.73it/s]
2025-08-14T21:32:25.1384278Z running benchmark:  28% 14/50 [00:02<00:05,  6.73it/s]
2025-08-14T21:32:25.2886008Z running benchmark:  30% 15/50 [00:02<00:05,  6.79it/s]
2025-08-14T21:32:25.4389412Z running benchmark:  32% 16/50 [00:02<00:05,  6.75it/s]
2025-08-14T21:32:25.5824867Z running benchmark:  34% 17/50 [00:02<00:04,  6.72it/s]
2025-08-14T21:32:25.7287710Z running benchmark:  36% 18/50 [00:02<00:04,  6.79it/s]
2025-08-14T21:32:25.8870642Z running benchmark:  38% 19/50 [00:02<00:04,  6.81it/s]
2025-08-14T21:32:26.0339569Z running benchmark:  40% 20/50 [00:02<00:04,  6.65it/s]
2025-08-14T21:32:26.1853097Z running benchmark:  42% 21/50 [00:03<00:04,  6.70it/s]
2025-08-14T21:32:26.3300470Z running benchmark:  44% 22/50 [00:03<00:04,  6.67it/s]
2025-08-14T21:32:26.4748164Z running benchmark:  46% 23/50 [00:03<00:04,  6.74it/s]
2025-08-14T21:32:26.6259553Z running benchmark:  48% 24/50 [00:03<00:03,  6.79it/s]
2025-08-14T21:32:26.7693561Z running benchmark:  50% 25/50 [00:03<00:03,  6.74it/s]
2025-08-14T21:32:26.9285626Z running benchmark:  52% 26/50 [00:03<00:03,  6.80it/s]
2025-08-14T21:32:27.0787334Z running benchmark:  54% 27/50 [00:04<00:03,  6.64it/s]
2025-08-14T21:32:27.2221050Z running benchmark:  56% 28/50 [00:04<00:03,  6.65it/s]
2025-08-14T21:32:27.3684889Z running benchmark:  58% 29/50 [00:04<00:03,  6.74it/s]
2025-08-14T21:32:27.5210952Z running benchmark:  60% 30/50 [00:04<00:02,  6.77it/s]
2025-08-14T21:32:27.6647401Z running benchmark:  62% 31/50 [00:04<00:02,  6.70it/s]
2025-08-14T21:32:27.8082539Z running benchmark:  64% 32/50 [00:04<00:02,  6.78it/s]
2025-08-14T21:32:27.9614030Z running benchmark:  66% 33/50 [00:04<00:02,  6.83it/s]
2025-08-14T21:32:28.1192314Z running benchmark:  68% 34/50 [00:05<00:02,  6.74it/s]
2025-08-14T21:32:28.2634925Z running benchmark:  70% 35/50 [00:05<00:02,  6.61it/s]
2025-08-14T21:32:28.4079658Z running benchmark:  72% 36/50 [00:05<00:02,  6.70it/s]
2025-08-14T21:32:28.5593846Z running benchmark:  74% 37/50 [00:05<00:01,  6.77it/s]
2025-08-14T21:32:28.7082352Z running benchmark:  76% 38/50 [00:05<00:01,  6.72it/s]
2025-08-14T21:32:28.8517299Z running benchmark:  78% 39/50 [00:05<00:01,  6.72it/s]
2025-08-14T21:32:28.9975122Z running benchmark:  80% 40/50 [00:05<00:01,  6.79it/s]
2025-08-14T21:32:29.1606166Z running benchmark:  82% 41/50 [00:06<00:01,  6.81it/s]
2025-08-14T21:32:29.3045820Z running benchmark:  84% 42/50 [00:06<00:01,  6.59it/s]
2025-08-14T21:32:29.4494972Z running benchmark:  86% 43/50 [00:06<00:01,  6.70it/s]
2025-08-14T21:32:29.6009496Z running benchmark:  88% 44/50 [00:06<00:00,  6.76it/s]
2025-08-14T21:32:29.7439044Z running benchmark:  90% 45/50 [00:06<00:00,  6.71it/s]
2025-08-14T21:32:29.8862316Z running benchmark:  92% 46/50 [00:06<00:00,  6.79it/s]
2025-08-14T21:32:30.0322822Z running benchmark:  94% 47/50 [00:06<00:00,  6.86it/s]
2025-08-14T21:32:30.1951571Z running benchmark:  96% 48/50 [00:07<00:00,  6.86it/s]
2025-08-14T21:32:30.3382444Z running benchmark:  98% 49/50 [00:07<00:00,  6.62it/s]
2025-08-14T21:32:30.3382927Z running benchmark: 100% 50/50 [00:07<00:00,  6.73it/s]
2025-08-14T21:32:30.3383341Z running benchmark: 100% 50/50 [00:07<00:00,  6.74it/s]
2025-08-14T21:32:30.4360242Z 1.816x
2025-08-14T21:32:30.4360603Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T21:32:31.3653279Z + cat /var/lib/jenkins/workspace/test/test-reports/inductor_inference_resnet50_inductor_float32_dynamic_cpu_smoketest.csv
2025-08-14T21:32:31.3672497Z 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
2025-08-14T21:32:31.3673153Z cpu,resnet50,32,1.816318,51.040788,14.759821,0.965543,373.867725,387.209626,175,1,0,0,0,0,1
2025-08-14T21:32:31.3673908Z + 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
2025-08-14T21:32:31.6098340Z resnet50                           1.816318
2025-08-14T21:32:31.6446191Z + IFS=,
2025-08-14T21:32:31.6446422Z + read -r -a model_cfg
2025-08-14T21:32:31.6446658Z + local model_name=mobilenet_v3_large
2025-08-14T21:32:31.6446893Z + local data_type=float32
2025-08-14T21:32:31.6447095Z + local speedup_target=2.63311706
2025-08-14T21:32:31.6447342Z + local backend=inductor
2025-08-14T21:32:31.6447543Z + [[ cpp == \c\p\p ]]
2025-08-14T21:32:31.6447742Z + export TORCHINDUCTOR_CPP_WRAPPER=1
2025-08-14T21:32:31.6448294Z + TORCHINDUCTOR_CPP_WRAPPER=1
2025-08-14T21:32:31.6448818Z + local output_name=/var/lib/jenkins/workspace/test/test-reports/inductor_inference_mobilenet_v3_large_inductor_float32_static_cpu_smoketest.csv
2025-08-14T21:32:31.6449325Z + [[ static == \d\y\n\a\m\i\c ]]
2025-08-14T21:32:31.6450189Z + 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
2025-08-14T21:32:33.6911100Z 
2025-08-14T21:32:34.1135877Z loading model: 0it [00:00, ?it/s]
2025-08-14T21:32:34.1136165Z loading model: 0it [00:00, ?it/s]
2025-08-14T21:32:34.1148193Z cpu  eval  mobilenet_v3_large                 
2025-08-14T21:32:36.0809994Z skipping cudagraphs due to cpp wrapper enabled
2025-08-14T21:32:49.5736756Z 
2025-08-14T21:32:49.6800260Z running benchmark:   0% 0/50 [00:00<?, ?it/s]
2025-08-14T21:32:49.7801455Z running benchmark:   6% 3/50 [00:00<00:01, 28.26it/s]
2025-08-14T21:32:49.8801609Z running benchmark:  12% 6/50 [00:00<00:01, 29.23it/s]
2025-08-14T21:32:49.9834139Z running benchmark:  18% 9/50 [00:00<00:01, 29.58it/s]
2025-08-14T21:32:50.0845479Z running benchmark:  24% 12/50 [00:00<00:01, 29.37it/s]
2025-08-14T21:32:50.2150275Z running benchmark:  30% 15/50 [00:00<00:01, 29.47it/s]
2025-08-14T21:32:50.3453842Z running benchmark:  38% 19/50 [00:00<00:01, 29.94it/s]
2025-08-14T21:32:50.4755834Z running benchmark:  46% 23/50 [00:00<00:00, 30.21it/s]
2025-08-14T21:32:50.6055573Z running benchmark:  54% 27/50 [00:00<00:00, 30.39it/s]
2025-08-14T21:32:50.7359830Z running benchmark:  62% 31/50 [00:01<00:00, 30.51it/s]
2025-08-14T21:32:50.8660990Z running benchmark:  70% 35/50 [00:01<00:00, 30.56it/s]
2025-08-14T21:32:50.9962397Z running benchmark:  78% 39/50 [00:01<00:00, 30.62it/s]
2025-08-14T21:32:51.1310718Z running benchmark:  86% 43/50 [00:01<00:00, 30.66it/s]
2025-08-14T21:32:51.2289914Z running benchmark:  94% 47/50 [00:01<00:00, 30.34it/s]
2025-08-14T21:32:51.2290439Z running benchmark: 100% 50/50 [00:01<00:00, 30.21it/s]
2025-08-14T21:32:51.3058123Z 2.899x
2025-08-14T21:32:51.3058480Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T21:32:52.2839234Z + cat /var/lib/jenkins/workspace/test/test-reports/inductor_inference_mobilenet_v3_large_inductor_float32_static_cpu_smoketest.csv
2025-08-14T21:32:52.2855546Z 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
2025-08-14T21:32:52.2856666Z cpu,mobilenet_v3_large,32,2.898819,8.118474,14.327937,0.935444,206.904934,221.183590,187,1,0,0,0,0,1
2025-08-14T21:32:52.2857869Z + 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
2025-08-14T21:32:52.5269941Z mobilenet_v3_large                 2.898819
2025-08-14T21:32:52.5615875Z + IFS=,
2025-08-14T21:32:52.5616098Z + read -r -a model_cfg
2025-08-14T21:32:52.5616308Z + local model_name=timm_resnest
2025-08-14T21:32:52.5616525Z + local data_type=float32
2025-08-14T21:32:52.5616756Z + local speedup_target=1.7321529
2025-08-14T21:32:52.5616975Z + local backend=inductor
2025-08-14T21:32:52.5617165Z + [[ cpp == \c\p\p ]]
2025-08-14T21:32:52.5617372Z + export TORCHINDUCTOR_CPP_WRAPPER=1
2025-08-14T21:32:52.5617612Z + TORCHINDUCTOR_CPP_WRAPPER=1
2025-08-14T21:32:52.5618111Z + local output_name=/var/lib/jenkins/workspace/test/test-reports/inductor_inference_timm_resnest_inductor_float32_dynamic_cpu_smoketest.csv
2025-08-14T21:32:52.5618637Z + [[ dynamic == \d\y\n\a\m\i\c ]]
2025-08-14T21:32:52.5619586Z + taskset -c 0-93 python benchmarks/dynamo/torchbench.py --inference --performance --float32 -dcpu -n50 --only timm_resnest --dynamic-shapes --dynamic-batch-only --freezing --timeout 9000 --inductor --output /var/lib/jenkins/workspace/test/test-reports/inductor_inference_timm_resnest_inductor_float32_dynamic_cpu_smoketest.csv
2025-08-14T21:32:54.6075434Z 
2025-08-14T21:32:55.5282430Z loading model: 0it [00:00, ?it/s]
2025-08-14T21:32:55.5282678Z 
2025-08-14T21:32:55.6384379Z model.safetensors:   0% 0.00/42.6M [00:00<?, ?B/s]
2025-08-14T21:32:55.6384866Z 
2025-08-14T21:32:55.6841441Z model.safetensors:  74% 31.5M/42.6M [00:00<00:00, 285MB/s]
2025-08-14T21:32:55.6841862Z model.safetensors: 100% 42.6M/42.6M [00:00<00:00, 273MB/s]
2025-08-14T21:32:55.9999306Z 
2025-08-14T21:32:56.0000069Z loading model: 0it [00:01, ?it/s]
2025-08-14T21:32:56.0012840Z cpu  eval  timm_resnest                       
2025-08-14T21:32:58.0971483Z skipping cudagraphs due to cpp wrapper enabled
2025-08-14T21:33:13.2663351Z 
2025-08-14T21:33:13.3911822Z running benchmark:   0% 0/50 [00:00<?, ?it/s]
2025-08-14T21:33:13.5013505Z running benchmark:   2% 1/50 [00:00<00:06,  8.00it/s]
2025-08-14T21:33:13.6087433Z running benchmark:   4% 2/50 [00:00<00:05,  8.60it/s]
2025-08-14T21:33:13.7163531Z running benchmark:   6% 3/50 [00:00<00:05,  8.91it/s]
2025-08-14T21:33:13.8239815Z running benchmark:   8% 4/50 [00:00<00:05,  9.06it/s]
2025-08-14T21:33:13.9312908Z running benchmark:  10% 5/50 [00:00<00:04,  9.14it/s]
2025-08-14T21:33:14.0530750Z running benchmark:  12% 6/50 [00:00<00:04,  9.20it/s]
2025-08-14T21:33:14.1606468Z running benchmark:  14% 7/50 [00:00<00:04,  8.85it/s]
2025-08-14T21:33:14.2682125Z running benchmark:  16% 8/50 [00:00<00:04,  8.99it/s]
2025-08-14T21:33:14.3760130Z running benchmark:  18% 9/50 [00:01<00:04,  9.08it/s]
2025-08-14T21:33:14.4828665Z running benchmark:  20% 10/50 [00:01<00:04,  9.14it/s]
2025-08-14T21:33:14.5902042Z running benchmark:  22% 11/50 [00:01<00:04,  9.21it/s]
2025-08-14T21:33:14.6973412Z running benchmark:  24% 12/50 [00:01<00:04,  9.24it/s]
2025-08-14T21:33:14.8065838Z running benchmark:  26% 13/50 [00:01<00:03,  9.27it/s]
2025-08-14T21:33:14.9139263Z running benchmark:  28% 14/50 [00:01<00:03,  9.24it/s]
2025-08-14T21:33:15.0210869Z running benchmark:  30% 15/50 [00:01<00:03,  9.26it/s]
2025-08-14T21:33:15.1429645Z running benchmark:  32% 16/50 [00:01<00:03,  9.28it/s]
2025-08-14T21:33:15.2502573Z running benchmark:  34% 17/50 [00:01<00:03,  8.93it/s]
2025-08-14T21:33:15.3580889Z running benchmark:  36% 18/50 [00:01<00:03,  9.04it/s]
2025-08-14T21:33:15.4685303Z running benchmark:  38% 19/50 [00:02<00:03,  9.11it/s]
2025-08-14T21:33:15.5804011Z running benchmark:  40% 20/50 [00:02<00:03,  9.09it/s]
2025-08-14T21:33:15.6884323Z running benchmark:  42% 21/50 [00:02<00:03,  9.05it/s]
2025-08-14T21:33:15.7958737Z running benchmark:  44% 22/50 [00:02<00:03,  9.11it/s]
2025-08-14T21:33:15.9037955Z running benchmark:  46% 23/50 [00:02<00:02,  9.17it/s]
2025-08-14T21:33:16.0130049Z running benchmark:  48% 24/50 [00:02<00:02,  9.20it/s]
2025-08-14T21:33:16.1264317Z running benchmark:  50% 25/50 [00:02<00:02,  9.19it/s]
2025-08-14T21:33:16.2472981Z running benchmark:  52% 26/50 [00:02<00:02,  9.07it/s]
2025-08-14T21:33:16.3546412Z running benchmark:  54% 27/50 [00:02<00:02,  8.82it/s]
2025-08-14T21:33:16.4617127Z running benchmark:  56% 28/50 [00:03<00:02,  8.96it/s]
2025-08-14T21:33:16.5700651Z running benchmark:  58% 29/50 [00:03<00:02,  9.07it/s]
2025-08-14T21:33:16.6811593Z running benchmark:  60% 30/50 [00:03<00:02,  9.12it/s]
2025-08-14T21:33:16.7919297Z running benchmark:  62% 31/50 [00:03<00:02,  9.08it/s]
2025-08-14T21:33:16.8992985Z running benchmark:  64% 32/50 [00:03<00:01,  9.07it/s]
2025-08-14T21:33:17.0068785Z running benchmark:  66% 33/50 [00:03<00:01,  9.14it/s]
2025-08-14T21:33:17.1151139Z running benchmark:  68% 34/50 [00:03<00:01,  9.19it/s]
2025-08-14T21:33:17.2310822Z running benchmark:  70% 35/50 [00:03<00:01,  9.20it/s]
2025-08-14T21:33:17.3495223Z running benchmark:  72% 36/50 [00:03<00:01,  9.02it/s]
2025-08-14T21:33:17.4566695Z running benchmark:  74% 37/50 [00:04<00:01,  8.84it/s]
2025-08-14T21:33:17.5628051Z running benchmark:  76% 38/50 [00:04<00:01,  8.98it/s]
2025-08-14T21:33:17.6704378Z running benchmark:  78% 39/50 [00:04<00:01,  9.11it/s]
2025-08-14T21:33:17.7814407Z running benchmark:  80% 40/50 [00:04<00:01,  9.16it/s]
2025-08-14T21:33:17.8923702Z running benchmark:  82% 41/50 [00:04<00:00,  9.12it/s]
2025-08-14T21:33:17.9990007Z running benchmark:  84% 42/50 [00:04<00:00,  9.09it/s]
2025-08-14T21:33:18.1054344Z running benchmark:  86% 43/50 [00:04<00:00,  9.17it/s]
2025-08-14T21:33:18.2122855Z running benchmark:  88% 44/50 [00:04<00:00,  9.24it/s]
2025-08-14T21:33:18.3272145Z running benchmark:  90% 45/50 [00:04<00:00,  9.27it/s]
2025-08-14T21:33:18.4461749Z running benchmark:  92% 46/50 [00:05<00:00,  9.09it/s]
2025-08-14T21:33:18.5541746Z running benchmark:  94% 47/50 [00:05<00:00,  8.88it/s]
2025-08-14T21:33:18.6612876Z running benchmark:  96% 48/50 [00:05<00:00,  8.99it/s]
2025-08-14T21:33:18.7724964Z running benchmark:  98% 49/50 [00:05<00:00,  9.09it/s]
2025-08-14T21:33:18.7725566Z running benchmark: 100% 50/50 [00:05<00:00,  9.06it/s]
2025-08-14T21:33:18.7728014Z running benchmark: 100% 50/50 [00:05<00:00,  9.08it/s]
2025-08-14T21:33:18.8622416Z 2.073x
2025-08-14T21:33:18.8622833Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T21:33:19.8649873Z + cat /var/lib/jenkins/workspace/test/test-reports/inductor_inference_timm_resnest_inductor_float32_dynamic_cpu_smoketest.csv
2025-08-14T21:33:19.8667051Z 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
2025-08-14T21:33:19.8667816Z cpu,timm_resnest,32,2.072895,34.751366,15.573831,0.955026,279.664230,292.834099,131,1,0,0,0,0,1
2025-08-14T21:33:19.8669223Z + python benchmarks/dynamo/check_perf_csv.py -f /var/lib/jenkins/workspace/test/test-reports/inductor_inference_timm_resnest_inductor_float32_dynamic_cpu_smoketest.csv -t 1.7321529 -s 0.99
2025-08-14T21:33:20.1072517Z timm_resnest                       2.072895
2025-08-14T21:33:20.1417798Z + IFS=,
2025-08-14T21:33:20.1418088Z + read -r -a model_cfg
2025-08-14T21:33:20.1418380Z + local model_name=functorch_maml_omniglot
2025-08-14T21:33:20.1418662Z + local data_type=float32
2025-08-14T21:33:20.1418895Z + local speedup_target=1.126799
2025-08-14T21:33:20.1419144Z + local backend=inductor
2025-08-14T21:33:20.1419384Z + [[ cpp == \c\p\p ]]
2025-08-14T21:33:20.1419613Z + export TORCHINDUCTOR_CPP_WRAPPER=1
2025-08-14T21:33:20.1419937Z + TORCHINDUCTOR_CPP_WRAPPER=1
2025-08-14T21:33:20.1420545Z + local output_name=/var/lib/jenkins/workspace/test/test-reports/inductor_inference_functorch_maml_omniglot_inductor_float32_dynamic_cpu_smoketest.csv
2025-08-14T21:33:20.1421094Z + [[ dynamic == \d\y\n\a\m\i\c ]]
2025-08-14T21:33:20.1422552Z + 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
2025-08-14T21:33:22.1897922Z 
2025-08-14T21:33:22.3105480Z loading model: 0it [00:00, ?it/s]
2025-08-14T21:33:22.3105871Z loading model: 0it [00:00, ?it/s]
2025-08-14T21:33:22.3106228Z cpu  eval  functorch_maml_omniglot            
2025-08-14T21:33:23.1944503Z skipping cudagraphs due to cpp wrapper enabled
2025-08-14T21:33:30.6512637Z 
2025-08-14T21:33:30.7000430Z running benchmark:   0% 0/50 [00:00<?, ?it/s]
2025-08-14T21:33:30.7000898Z running benchmark: 100% 50/50 [00:00<00:00, 1025.67it/s]
2025-08-14T21:33:30.7380635Z 1.649x
2025-08-14T21:33:30.7382553Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T21:33:31.4926607Z + cat /var/lib/jenkins/workspace/test/test-reports/inductor_inference_functorch_maml_omniglot_inductor_float32_dynamic_cpu_smoketest.csv
2025-08-14T21:33:31.4944666Z 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
2025-08-14T21:33:31.4945450Z cpu,functorch_maml_omniglot,1,1.649037,0.317359,7.552497,0.806064,52.955955,65.696973,14,1,0,0,0,0,1
2025-08-14T21:33:31.4946225Z + 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
2025-08-14T21:33:31.7421491Z functorch_maml_omniglot            1.649037
2025-08-14T21:33:31.7774046Z + IFS=,
2025-08-14T21:33:31.7774266Z + read -r -a model_cfg
2025-08-14T21:33:31.7774482Z + local model_name=yolov3
2025-08-14T21:33:31.7774710Z + local data_type=float32
2025-08-14T21:33:31.7774913Z + local speedup_target=1.40687424
2025-08-14T21:33:31.7775147Z + local backend=export-aot-inductor
2025-08-14T21:33:31.7775397Z + [[ default == \c\p\p ]]
2025-08-14T21:33:31.7775594Z + unset TORCHINDUCTOR_CPP_WRAPPER
2025-08-14T21:33:31.7776116Z + local output_name=/var/lib/jenkins/workspace/test/test-reports/inductor_inference_yolov3_export-aot-inductor_float32_static_cpu_smoketest.csv
2025-08-14T21:33:31.7776615Z + [[ static == \d\y\n\a\m\i\c ]]
2025-08-14T21:33:31.7777486Z + 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
2025-08-14T21:33:33.8335738Z 
2025-08-14T21:33:35.2472603Z loading model: 0it [00:00, ?it/s]
2025-08-14T21:33:35.2472952Z loading model: 0it [00:01, ?it/s]
2025-08-14T21:33:35.2491272Z cpu  eval  yolov3                             
2025-08-14T21:33:38.0556738Z skipping cudagraphs due to cpp wrapper enabled
2025-08-14T21:34:01.3416684Z 
2025-08-14T21:34:01.6507355Z running benchmark:   0% 0/50 [00:00<?, ?it/s]
2025-08-14T21:34:01.9187247Z running benchmark:   2% 1/50 [00:00<00:15,  3.23it/s]
2025-08-14T21:34:02.1894162Z running benchmark:   4% 2/50 [00:00<00:13,  3.51it/s]
2025-08-14T21:34:02.4624512Z running benchmark:   6% 3/50 [00:00<00:13,  3.59it/s]
2025-08-14T21:34:02.7253597Z running benchmark:   8% 4/50 [00:01<00:12,  3.62it/s]
2025-08-14T21:34:02.9869055Z running benchmark:  10% 5/50 [00:01<00:12,  3.68it/s]
2025-08-14T21:34:03.2487355Z running benchmark:  12% 6/50 [00:01<00:11,  3.73it/s]
2025-08-14T21:34:03.5261233Z running benchmark:  14% 7/50 [00:01<00:11,  3.76it/s]
2025-08-14T21:34:03.7925427Z running benchmark:  16% 8/50 [00:02<00:11,  3.71it/s]
2025-08-14T21:34:04.0601899Z running benchmark:  18% 9/50 [00:02<00:11,  3.72it/s]
2025-08-14T21:34:04.3295684Z running benchmark:  20% 10/50 [00:02<00:10,  3.73it/s]
2025-08-14T21:34:04.6131365Z running benchmark:  22% 11/50 [00:02<00:10,  3.72it/s]
2025-08-14T21:34:04.8792051Z running benchmark:  24% 12/50 [00:03<00:10,  3.66it/s]
2025-08-14T21:34:05.1471123Z running benchmark:  26% 13/50 [00:03<00:10,  3.69it/s]
2025-08-14T21:34:05.4148807Z running benchmark:  28% 14/50 [00:03<00:09,  3.70it/s]
2025-08-14T21:34:05.6944479Z running benchmark:  30% 15/50 [00:04<00:09,  3.71it/s]
2025-08-14T21:34:05.9605694Z running benchmark:  32% 16/50 [00:04<00:09,  3.67it/s]
2025-08-14T21:34:06.2248704Z running benchmark:  34% 17/50 [00:04<00:08,  3.70it/s]
2025-08-14T21:34:06.4950118Z running benchmark:  36% 18/50 [00:04<00:08,  3.72it/s]
2025-08-14T21:34:06.7751314Z running benchmark:  38% 19/50 [00:05<00:08,  3.72it/s]
2025-08-14T21:34:07.0417291Z running benchmark:  40% 20/50 [00:05<00:08,  3.67it/s]
2025-08-14T21:34:07.3053012Z running benchmark:  42% 21/50 [00:05<00:07,  3.69it/s]
2025-08-14T21:34:07.5714360Z running benchmark:  44% 22/50 [00:05<00:07,  3.72it/s]
2025-08-14T21:34:07.8537276Z running benchmark:  46% 23/50 [00:06<00:07,  3.73it/s]
2025-08-14T21:34:08.1244264Z running benchmark:  48% 24/50 [00:06<00:07,  3.67it/s]
2025-08-14T21:34:08.3908693Z running benchmark:  50% 25/50 [00:06<00:06,  3.68it/s]
2025-08-14T21:34:08.6533374Z running benchmark:  52% 26/50 [00:07<00:06,  3.70it/s]
2025-08-14T21:34:08.9431136Z running benchmark:  54% 27/50 [00:07<00:06,  3.73it/s]
2025-08-14T21:34:09.2047107Z running benchmark:  56% 28/50 [00:07<00:06,  3.64it/s]
2025-08-14T21:34:09.4799786Z running benchmark:  58% 29/50 [00:07<00:05,  3.70it/s]
2025-08-14T21:34:09.7411462Z running benchmark:  60% 30/50 [00:08<00:05,  3.68it/s]
2025-08-14T21:34:10.0315027Z running benchmark:  62% 31/50 [00:08<00:05,  3.72it/s]
2025-08-14T21:34:10.2925454Z running benchmark:  64% 32/50 [00:08<00:04,  3.63it/s]
2025-08-14T21:34:10.5664656Z running benchmark:  66% 33/50 [00:08<00:04,  3.69it/s]
2025-08-14T21:34:10.8303296Z running benchmark:  68% 34/50 [00:09<00:04,  3.68it/s]
2025-08-14T21:34:11.1141476Z running benchmark:  70% 35/50 [00:09<00:04,  3.71it/s]
2025-08-14T21:34:11.3823377Z running benchmark:  72% 36/50 [00:09<00:03,  3.65it/s]
2025-08-14T21:34:11.6486393Z running benchmark:  74% 37/50 [00:10<00:03,  3.68it/s]
2025-08-14T21:34:11.9160412Z running benchmark:  76% 38/50 [00:10<00:03,  3.70it/s]
2025-08-14T21:34:12.1974868Z running benchmark:  78% 39/50 [00:10<00:02,  3.71it/s]
2025-08-14T21:34:12.4642058Z running benchmark:  80% 40/50 [00:10<00:02,  3.66it/s]
2025-08-14T21:34:12.7281352Z running benchmark:  82% 41/50 [00:11<00:02,  3.69it/s]
2025-08-14T21:34:12.9972797Z running benchmark:  84% 42/50 [00:11<00:02,  3.72it/s]
2025-08-14T21:34:13.2786837Z running benchmark:  86% 43/50 [00:11<00:01,  3.72it/s]
2025-08-14T21:34:13.5457987Z running benchmark:  88% 44/50 [00:11<00:01,  3.67it/s]
2025-08-14T21:34:13.8120470Z running benchmark:  90% 45/50 [00:12<00:01,  3.69it/s]
2025-08-14T21:34:14.0762944Z running benchmark:  92% 46/50 [00:12<00:01,  3.71it/s]
2025-08-14T21:34:14.3548058Z running benchmark:  94% 47/50 [00:12<00:00,  3.73it/s]
2025-08-14T21:34:14.6288573Z running benchmark:  96% 48/50 [00:13<00:00,  3.69it/s]
2025-08-14T21:34:14.8905063Z running benchmark:  98% 49/50 [00:13<00:00,  3.68it/s]
2025-08-14T21:34:14.8905565Z running benchmark: 100% 50/50 [00:13<00:00,  3.72it/s]
2025-08-14T21:34:14.8905971Z running benchmark: 100% 50/50 [00:13<00:00,  3.69it/s]
2025-08-14T21:34:15.0138776Z 1.559x
2025-08-14T21:34:15.0139181Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T21:34:16.2129553Z + cat /var/lib/jenkins/workspace/test/test-reports/inductor_inference_yolov3_export-aot-inductor_float32_static_cpu_smoketest.csv
2025-08-14T21:34:16.2142245Z 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
2025-08-14T21:34:16.2143322Z cpu,yolov3,8,1.559377,104.034195,24.206224,0.903228,481.347584,532.919501,0,0,0,0,0,0,1
2025-08-14T21:34:16.2144200Z + 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
2025-08-14T21:34:16.4822801Z yolov3                             1.559377
2025-08-14T21:34:16.5176476Z + IFS=,
2025-08-14T21:34:16.5176698Z + read -r -a model_cfg
2025-08-14T21:34:16.5176937Z + local model_name=mobilenet_v2
2025-08-14T21:34:16.5177162Z + local data_type=float32
2025-08-14T21:34:16.5177375Z + local speedup_target=2.90375357
2025-08-14T21:34:16.5177599Z + local backend=export-aot-inductor
2025-08-14T21:34:16.5177838Z + [[ default == \c\p\p ]]
2025-08-14T21:34:16.5178048Z + unset TORCHINDUCTOR_CPP_WRAPPER
2025-08-14T21:34:16.5178598Z + local output_name=/var/lib/jenkins/workspace/test/test-reports/inductor_inference_mobilenet_v2_export-aot-inductor_float32_static_cpu_smoketest.csv
2025-08-14T21:34:16.5179149Z + [[ static == \d\y\n\a\m\i\c ]]
2025-08-14T21:34:16.5180070Z + 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
2025-08-14T21:34:18.5590947Z 
2025-08-14T21:34:18.9235532Z loading model: 0it [00:00, ?it/s]
2025-08-14T21:34:18.9235863Z loading model: 0it [00:00, ?it/s]
2025-08-14T21:34:18.9246291Z cpu  eval  mobilenet_v2                       
2025-08-14T21:34:20.4840650Z skipping cudagraphs due to cpp wrapper enabled
2025-08-14T21:34:34.0899230Z 
2025-08-14T21:34:34.2054860Z running benchmark:   0% 0/50 [00:00<?, ?it/s]
2025-08-14T21:34:34.3155033Z running benchmark:   8% 4/50 [00:00<00:01, 34.67it/s]
2025-08-14T21:34:34.4254133Z running benchmark:  18% 9/50 [00:00<00:01, 40.87it/s]
2025-08-14T21:34:34.5350605Z running benchmark:  28% 14/50 [00:00<00:00, 42.95it/s]
2025-08-14T21:34:34.6448939Z running benchmark:  38% 19/50 [00:00<00:00, 43.99it/s]
2025-08-14T21:34:34.7546389Z running benchmark:  48% 24/50 [00:00<00:00, 44.54it/s]
2025-08-14T21:34:34.8646903Z running benchmark:  58% 29/50 [00:00<00:00, 44.88it/s]
2025-08-14T21:34:34.9756989Z running benchmark:  68% 34/50 [00:00<00:00, 45.06it/s]
2025-08-14T21:34:35.0863256Z running benchmark:  78% 39/50 [00:00<00:00, 45.06it/s]
2025-08-14T21:34:35.1957862Z running benchmark:  88% 44/50 [00:00<00:00, 45.10it/s]
2025-08-14T21:34:35.2179041Z running benchmark:  98% 49/50 [00:01<00:00, 45.28it/s]
2025-08-14T21:34:35.2179533Z running benchmark: 100% 50/50 [00:01<00:00, 44.33it/s]
2025-08-14T21:34:35.2899760Z 3.218x
2025-08-14T21:34:35.2900228Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T21:34:36.2676689Z + cat /var/lib/jenkins/workspace/test/test-reports/inductor_inference_mobilenet_v2_export-aot-inductor_float32_static_cpu_smoketest.csv
2025-08-14T21:34:36.2696186Z 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
2025-08-14T21:34:36.2696902Z cpu,mobilenet_v2,16,3.217531,4.981616,14.791516,0.932375,186.030080,199.522714,0,0,0,0,0,0,1
2025-08-14T21:34:36.2697932Z + 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
2025-08-14T21:34:36.5143810Z mobilenet_v2                       3.217531
2025-08-14T21:34:36.5499850Z + IFS=,
2025-08-14T21:34:36.5500075Z + read -r -a model_cfg
2025-08-14T21:34:36.5500307Z + local model_name=resnext50_32x4d
2025-08-14T21:34:36.5500543Z + local data_type=float32
2025-08-14T21:34:36.5500755Z + local speedup_target=1.49299689
2025-08-14T21:34:36.5500986Z + local backend=export-aot-inductor
2025-08-14T21:34:36.5502030Z + [[ default == \c\p\p ]]
2025-08-14T21:34:36.5502247Z + unset TORCHINDUCTOR_CPP_WRAPPER
2025-08-14T21:34:36.5502800Z + local output_name=/var/lib/jenkins/workspace/test/test-reports/inductor_inference_resnext50_32x4d_export-aot-inductor_float32_dynamic_cpu_smoketest.csv
2025-08-14T21:34:36.5503347Z + [[ dynamic == \d\y\n\a\m\i\c ]]
2025-08-14T21:34:36.5504362Z + 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
2025-08-14T21:34:38.6117980Z 
2025-08-14T21:34:38.9021159Z 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
2025-08-14T21:34:38.9137741Z 
2025-08-14T21:34:38.9137869Z 
2025-08-14T21:34:39.0146994Z   0% 0.00/95.8M [00:00<?, ?B/s]
2025-08-14T21:34:39.0147291Z 
2025-08-14T21:34:39.1155637Z  18% 17.5M/95.8M [00:00<00:00, 182MB/s]
2025-08-14T21:34:39.1156253Z 
2025-08-14T21:34:39.2157233Z  36% 34.9M/95.8M [00:00<00:00, 181MB/s]
2025-08-14T21:34:39.2157511Z 
2025-08-14T21:34:39.2264516Z  94% 89.9M/95.8M [00:00<00:00, 361MB/s]
2025-08-14T21:34:39.2264873Z 100% 95.8M/95.8M [00:00<00:00, 322MB/s]
2025-08-14T21:34:39.4930912Z 
2025-08-14T21:34:39.4931405Z loading model: 0it [00:00, ?it/s]
2025-08-14T21:34:39.4937252Z cpu  eval  resnext50_32x4d                    
2025-08-14T21:34:41.1981382Z skipping cudagraphs due to cpp wrapper enabled
2025-08-14T21:34:54.2627340Z 
2025-08-14T21:34:54.3789422Z running benchmark:   0% 0/50 [00:00<?, ?it/s]
2025-08-14T21:34:54.5204705Z running benchmark:   4% 2/50 [00:00<00:02, 17.17it/s]
2025-08-14T21:34:54.6615959Z running benchmark:  10% 5/50 [00:00<00:02, 19.72it/s]
2025-08-14T21:34:54.8102622Z running benchmark:  16% 8/50 [00:00<00:02, 20.45it/s]
2025-08-14T21:34:54.9511123Z running benchmark:  22% 11/50 [00:00<00:01, 20.34it/s]
2025-08-14T21:34:55.0923753Z running benchmark:  28% 14/50 [00:00<00:01, 20.68it/s]
2025-08-14T21:34:55.2333966Z running benchmark:  34% 17/50 [00:00<00:01, 20.87it/s]
2025-08-14T21:34:55.3743557Z running benchmark:  40% 20/50 [00:00<00:01, 21.00it/s]
2025-08-14T21:34:55.5156599Z running benchmark:  46% 23/50 [00:01<00:01, 21.09it/s]
2025-08-14T21:34:55.6567960Z running benchmark:  52% 26/50 [00:01<00:01, 21.14it/s]
2025-08-14T21:34:55.8025183Z running benchmark:  58% 29/50 [00:01<00:00, 21.17it/s]
2025-08-14T21:34:55.9465385Z running benchmark:  64% 32/50 [00:01<00:00, 20.99it/s]
2025-08-14T21:34:56.0875546Z running benchmark:  70% 35/50 [00:01<00:00, 20.94it/s]
2025-08-14T21:34:56.2287197Z running benchmark:  76% 38/50 [00:01<00:00, 21.04it/s]
2025-08-14T21:34:56.3702216Z running benchmark:  82% 41/50 [00:01<00:00, 21.10it/s]
2025-08-14T21:34:56.5131021Z running benchmark:  88% 44/50 [00:02<00:00, 21.13it/s]
2025-08-14T21:34:56.6596657Z running benchmark:  94% 47/50 [00:02<00:00, 21.09it/s]
2025-08-14T21:34:56.6597191Z running benchmark: 100% 50/50 [00:02<00:00, 20.90it/s]
2025-08-14T21:34:56.6597696Z running benchmark: 100% 50/50 [00:02<00:00, 20.85it/s]
2025-08-14T21:34:56.7263851Z 1.648x
2025-08-14T21:34:56.7264235Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T21:34:57.6879601Z + cat /var/lib/jenkins/workspace/test/test-reports/inductor_inference_resnext50_32x4d_export-aot-inductor_float32_dynamic_cpu_smoketest.csv
2025-08-14T21:34:57.6891490Z 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
2025-08-14T21:34:57.6892151Z cpu,resnext50_32x4d,8,1.647944,17.595529,14.264050,0.872620,171.593318,196.641587,0,0,0,0,0,0,1
2025-08-14T21:34:57.6894048Z + 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
2025-08-14T21:34:57.9357620Z resnext50_32x4d                    1.647944
2025-08-14T21:34:57.9722546Z + IFS=,
2025-08-14T21:34:57.9722787Z + read -r -a model_cfg
2025-08-14T21:34:57.9723010Z + local model_name=hf_Albert
2025-08-14T21:34:57.9723217Z + local data_type=float32
2025-08-14T21:34:57.9723425Z + local speedup_target=1.261471
2025-08-14T21:34:57.9723665Z + local backend=export-aot-inductor
2025-08-14T21:34:57.9723890Z + [[ default == \c\p\p ]]
2025-08-14T21:34:57.9724103Z + unset TORCHINDUCTOR_CPP_WRAPPER
2025-08-14T21:34:57.9724651Z + local output_name=/var/lib/jenkins/workspace/test/test-reports/inductor_inference_hf_Albert_export-aot-inductor_float32_dynamic_cpu_smoketest.csv
2025-08-14T21:34:57.9725168Z + [[ dynamic == \d\y\n\a\m\i\c ]]
2025-08-14T21:34:57.9726176Z + taskset -c 0-93 python benchmarks/dynamo/torchbench.py --inference --performance --float32 -dcpu -n50 --only hf_Albert --dynamic-shapes --dynamic-batch-only --freezing --timeout 9000 --export-aot-inductor --output /var/lib/jenkins/workspace/test/test-reports/inductor_inference_hf_Albert_export-aot-inductor_float32_dynamic_cpu_smoketest.csv
2025-08-14T21:35:00.0121100Z 
2025-08-14T21:35:00.6051905Z loading model: 0it [00:00, ?it/s]
2025-08-14T21:35:00.6052144Z 
2025-08-14T21:35:00.6079238Z config.json:   0% 0.00/684 [00:00<?, ?B/s]
2025-08-14T21:35:00.6079489Z config.json: 100% 684/684 [00:00<00:00, 197kB/s]
2025-08-14T21:35:01.3049071Z 
2025-08-14T21:35:01.3049521Z loading model: 0it [00:01, ?it/s]
2025-08-14T21:35:01.3051225Z cpu  eval  hf_Albert                          
2025-08-14T21:35:02.9113257Z skipping cudagraphs due to cpp wrapper enabled
2025-08-14T21:35:15.3633555Z 
2025-08-14T21:35:15.5134308Z running benchmark:   0% 0/50 [00:00<?, ?it/s]
2025-08-14T21:35:15.6525592Z running benchmark:   4% 2/50 [00:00<00:03, 13.32it/s]
2025-08-14T21:35:15.7824504Z running benchmark:   8% 4/50 [00:00<00:03, 13.92it/s]
2025-08-14T21:35:15.9122492Z running benchmark:  12% 6/50 [00:00<00:03, 14.56it/s]
2025-08-14T21:35:16.0424589Z running benchmark:  16% 8/50 [00:00<00:02, 14.88it/s]
2025-08-14T21:35:16.1728073Z running benchmark:  20% 10/50 [00:00<00:02, 15.05it/s]
2025-08-14T21:35:16.3030892Z running benchmark:  24% 12/50 [00:00<00:02, 15.15it/s]
2025-08-14T21:35:16.4334576Z running benchmark:  28% 14/50 [00:00<00:02, 15.21it/s]
2025-08-14T21:35:16.5636848Z running benchmark:  32% 16/50 [00:01<00:02, 15.25it/s]
2025-08-14T21:35:16.7018476Z running benchmark:  36% 18/50 [00:01<00:02, 15.29it/s]
2025-08-14T21:35:16.8321263Z running benchmark:  40% 20/50 [00:01<00:01, 15.03it/s]
2025-08-14T21:35:16.9620148Z running benchmark:  44% 22/50 [00:01<00:01, 15.13it/s]
2025-08-14T21:35:17.0920111Z running benchmark:  48% 24/50 [00:01<00:01, 15.21it/s]
2025-08-14T21:35:17.2224629Z running benchmark:  52% 26/50 [00:01<00:01, 15.26it/s]
2025-08-14T21:35:17.3528173Z running benchmark:  56% 28/50 [00:01<00:01, 15.28it/s]
2025-08-14T21:35:17.4830184Z running benchmark:  60% 30/50 [00:01<00:01, 15.30it/s]
2025-08-14T21:35:17.6189361Z running benchmark:  64% 32/50 [00:02<00:01, 15.32it/s]
2025-08-14T21:35:17.7646374Z running benchmark:  68% 34/50 [00:02<00:01, 15.13it/s]
2025-08-14T21:35:17.8977463Z running benchmark:  72% 36/50 [00:02<00:00, 14.68it/s]
2025-08-14T21:35:18.0285537Z running benchmark:  76% 38/50 [00:02<00:00, 14.78it/s]
2025-08-14T21:35:18.1653717Z running benchmark:  80% 40/50 [00:02<00:00, 14.93it/s]
2025-08-14T21:35:18.3032858Z running benchmark:  84% 42/50 [00:02<00:00, 14.84it/s]
2025-08-14T21:35:18.4339605Z running benchmark:  88% 44/50 [00:02<00:00, 14.73it/s]
2025-08-14T21:35:18.5655643Z running benchmark:  92% 46/50 [00:03<00:00, 14.90it/s]
2025-08-14T21:35:18.7045803Z running benchmark:  96% 48/50 [00:03<00:00, 14.99it/s]
2025-08-14T21:35:18.7046266Z running benchmark: 100% 50/50 [00:03<00:00, 14.80it/s]
2025-08-14T21:35:18.7047101Z running benchmark: 100% 50/50 [00:03<00:00, 14.96it/s]
2025-08-14T21:35:18.7814351Z 1.321x
2025-08-14T21:35:18.7814696Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T21:35:19.8445076Z + cat /var/lib/jenkins/workspace/test/test-reports/inductor_inference_hf_Albert_export-aot-inductor_float32_dynamic_cpu_smoketest.csv
2025-08-14T21:35:19.8463871Z 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
2025-08-14T21:35:19.8464564Z cpu,hf_Albert,1,1.321104,27.954502,13.477694,0.460762,127.147622,275.950797,0,0,0,0,0,0,1
2025-08-14T21:35:19.8465780Z + python benchmarks/dynamo/check_perf_csv.py -f /var/lib/jenkins/workspace/test/test-reports/inductor_inference_hf_Albert_export-aot-inductor_float32_dynamic_cpu_smoketest.csv -t 1.261471 -s 0.99
2025-08-14T21:35:20.0904411Z hf_Albert                          1.321104
2025-08-14T21:35:20.1251497Z + IFS=,
2025-08-14T21:35:20.1251736Z + read -r -a model_cfg
2025-08-14T21:35:20.1251968Z + local model_name=resnext50_32x4d
2025-08-14T21:35:20.1252546Z + local data_type=amp
2025-08-14T21:35:20.1252741Z + local speedup_target=1.47023111
2025-08-14T21:35:20.1252966Z + local backend=inductor
2025-08-14T21:35:20.1253169Z + [[ default == \c\p\p ]]
2025-08-14T21:35:20.1253369Z + unset TORCHINDUCTOR_CPP_WRAPPER
2025-08-14T21:35:20.1253868Z + local output_name=/var/lib/jenkins/workspace/test/test-reports/inductor_inference_resnext50_32x4d_inductor_amp_static_cpu_smoketest.csv
2025-08-14T21:35:20.1254348Z + [[ static == \d\y\n\a\m\i\c ]]
2025-08-14T21:35:20.1255186Z + 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
2025-08-14T21:35:22.1737488Z 
2025-08-14T21:35:22.7137996Z loading model: 0it [00:00, ?it/s]
2025-08-14T21:35:22.7138305Z loading model: 0it [00:00, ?it/s]
2025-08-14T21:35:22.7138536Z cpu  eval  resnext50_32x4d                    
2025-08-14T21:35:28.5246272Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:28.5246733Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:28.5247073Z     return mod(*inputs)
2025-08-14T21:35:28.5247429Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:35:28.5247795Z     return self._forward_impl(x)
2025-08-14T21:35:28.5248161Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 268, in _forward_impl
2025-08-14T21:35:28.5248516Z     x = self.conv1(x)
2025-08-14T21:35:28.5248634Z 
2025-08-14T21:35:28.5248742Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:28.5249141Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:28.5249471Z     return mod(*inputs)
2025-08-14T21:35:28.5249789Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:35:28.5250158Z     return self._forward_impl(x)
2025-08-14T21:35:28.5250515Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 270, in _forward_impl
2025-08-14T21:35:28.5250874Z     x = self.relu(x)
2025-08-14T21:35:28.5250986Z 
2025-08-14T21:35:28.5251091Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:28.5251460Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:28.5251783Z     return mod(*inputs)
2025-08-14T21:35:28.5252100Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:35:28.5252453Z     return self._forward_impl(x)
2025-08-14T21:35:28.5253072Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 270, in _forward_impl
2025-08-14T21:35:28.5253444Z     x = self.relu(x)
2025-08-14T21:35:28.5253561Z 
2025-08-14T21:35:28.5253664Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:28.5254032Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:28.5254359Z     return mod(*inputs)
2025-08-14T21:35:28.5254690Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:35:28.5255045Z     return self._forward_impl(x)
2025-08-14T21:35:28.5255526Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 271, in _forward_impl
2025-08-14T21:35:28.5255890Z     x = self.maxpool(x)
2025-08-14T21:35:28.5255992Z 
2025-08-14T21:35:28.5256094Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:28.5256459Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:28.5256783Z     return mod(*inputs)
2025-08-14T21:35:28.5257193Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:35:28.5257539Z     return self._forward_impl(x)
2025-08-14T21:35:28.5257888Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-08-14T21:35:28.5258247Z     x = self.layer1(x)
2025-08-14T21:35:28.5258561Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-14T21:35:28.5258907Z     out = self.relu(out)
2025-08-14T21:35:28.5259016Z 
2025-08-14T21:35:28.5259126Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:28.5259474Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:28.5259814Z     return mod(*inputs)
2025-08-14T21:35:28.5260136Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:35:28.5260484Z     return self._forward_impl(x)
2025-08-14T21:35:28.5260823Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-08-14T21:35:28.5261192Z     x = self.layer1(x)
2025-08-14T21:35:28.5261536Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-14T21:35:28.5261882Z     out = self.relu(out)
2025-08-14T21:35:28.5261995Z 
2025-08-14T21:35:28.5262096Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:28.5262450Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:28.5262767Z     return mod(*inputs)
2025-08-14T21:35:28.5263078Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:35:28.5263419Z     return self._forward_impl(x)
2025-08-14T21:35:28.5263771Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-08-14T21:35:28.5264120Z     x = self.layer1(x)
2025-08-14T21:35:28.5264436Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-14T21:35:28.5264778Z     out = self.relu(out)
2025-08-14T21:35:28.5264882Z 
2025-08-14T21:35:28.5264994Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:28.5265343Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:28.5265659Z     return mod(*inputs)
2025-08-14T21:35:28.5265973Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:35:28.5266312Z     return self._forward_impl(x)
2025-08-14T21:35:28.5266706Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-08-14T21:35:28.5267058Z     x = self.layer1(x)
2025-08-14T21:35:28.5267372Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-14T21:35:28.5267712Z     out = self.relu(out)
2025-08-14T21:35:28.5267822Z 
2025-08-14T21:35:28.5267926Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:28.5268282Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:28.5268593Z     return mod(*inputs)
2025-08-14T21:35:28.5268908Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:35:28.5269253Z     return self._forward_impl(x)
2025-08-14T21:35:28.5269728Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-08-14T21:35:28.5270121Z     x = self.layer1(x)
2025-08-14T21:35:28.5270467Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-08-14T21:35:28.5270840Z     out = self.relu(out)
2025-08-14T21:35:28.5271018Z 
2025-08-14T21:35:28.5271130Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:28.5271530Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:28.5271880Z     return mod(*inputs)
2025-08-14T21:35:28.5272199Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:35:28.5272544Z     return self._forward_impl(x)
2025-08-14T21:35:28.5272900Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-08-14T21:35:28.5273261Z     x = self.layer1(x)
2025-08-14T21:35:28.5273570Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-08-14T21:35:28.5273925Z     out = self.relu(out)
2025-08-14T21:35:28.5274039Z 
2025-08-14T21:35:28.5274127Z cudagraph partition due to non gpu ops
2025-08-14T21:35:28.5274380Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:28.5274736Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:28.5275065Z     return mod(*inputs)
2025-08-14T21:35:28.5275384Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:35:28.5275726Z     return self._forward_impl(x)
2025-08-14T21:35:28.5276078Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-08-14T21:35:28.5276436Z     x = self.layer1(x)
2025-08-14T21:35:28.5276752Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-14T21:35:28.5277087Z     out = self.relu(out)
2025-08-14T21:35:28.5277205Z 
2025-08-14T21:35:28.5277310Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:28.5277674Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:28.5277995Z     return mod(*inputs)
2025-08-14T21:35:28.5278314Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:35:28.5278667Z     return self._forward_impl(x)
2025-08-14T21:35:28.5279020Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-08-14T21:35:28.5279373Z     x = self.layer1(x)
2025-08-14T21:35:28.5279692Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-14T21:35:28.5280036Z     out = self.relu(out)
2025-08-14T21:35:28.5280143Z 
2025-08-14T21:35:28.5280249Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:28.5280660Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:28.5280978Z     return mod(*inputs)
2025-08-14T21:35:28.5281293Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:35:28.5281633Z     return self._forward_impl(x)
2025-08-14T21:35:28.5281980Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-08-14T21:35:28.5282335Z     x = self.layer1(x)
2025-08-14T21:35:28.5282638Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-14T21:35:28.5282978Z     out = self.relu(out)
2025-08-14T21:35:28.5283087Z 
2025-08-14T21:35:28.5283189Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:28.5283548Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:28.5283862Z     return mod(*inputs)
2025-08-14T21:35:28.5284181Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:35:28.5284525Z     return self._forward_impl(x)
2025-08-14T21:35:28.5284928Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-08-14T21:35:28.5285280Z     x = self.layer1(x)
2025-08-14T21:35:28.5285589Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-14T21:35:28.5285931Z     out = self.relu(out)
2025-08-14T21:35:28.5286034Z 
2025-08-14T21:35:28.5286118Z cudagraph partition due to non gpu ops
2025-08-14T21:35:28.5286360Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:28.5286716Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:28.5287028Z     return mod(*inputs)
2025-08-14T21:35:28.5287352Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:35:28.5287696Z     return self._forward_impl(x)
2025-08-14T21:35:28.5288043Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-08-14T21:35:28.5288395Z     x = self.layer1(x)
2025-08-14T21:35:28.5288708Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-14T21:35:28.5289047Z     out = self.relu(out)
2025-08-14T21:35:28.5289150Z 
2025-08-14T21:35:28.5289251Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:28.5289605Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:28.5289929Z     return mod(*inputs)
2025-08-14T21:35:28.5290237Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:35:28.5290575Z     return self._forward_impl(x)
2025-08-14T21:35:28.5290923Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-08-14T21:35:28.5291275Z     x = self.layer1(x)
2025-08-14T21:35:28.5291583Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-14T21:35:28.5291923Z     out = self.relu(out)
2025-08-14T21:35:28.5292034Z 
2025-08-14T21:35:28.5292134Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:28.5292487Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:28.5292797Z     return mod(*inputs)
2025-08-14T21:35:28.5293109Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:35:28.5293453Z     return self._forward_impl(x)
2025-08-14T21:35:28.5293793Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-08-14T21:35:28.5294200Z     x = self.layer1(x)
2025-08-14T21:35:28.5294512Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-14T21:35:28.5294852Z     out = self.relu(out)
2025-08-14T21:35:28.5294957Z 
2025-08-14T21:35:28.5295057Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:28.5295415Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:28.5295735Z     return mod(*inputs)
2025-08-14T21:35:28.5296039Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:35:28.5296387Z     return self._forward_impl(x)
2025-08-14T21:35:28.5296741Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-08-14T21:35:28.5297094Z     x = self.layer1(x)
2025-08-14T21:35:28.5297402Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-14T21:35:28.5297741Z     out = self.relu(out)
2025-08-14T21:35:28.5297848Z 
2025-08-14T21:35:28.5297938Z cudagraph partition due to non gpu ops
2025-08-14T21:35:28.5298211Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:28.5298669Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:28.5298989Z     return mod(*inputs)
2025-08-14T21:35:28.5299304Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:35:28.5299650Z     return self._forward_impl(x)
2025-08-14T21:35:28.5299999Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-08-14T21:35:28.5300354Z     x = self.layer2(x)
2025-08-14T21:35:28.5300654Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-14T21:35:28.5300995Z     out = self.relu(out)
2025-08-14T21:35:28.5301106Z 
2025-08-14T21:35:28.5301207Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:28.5301562Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:28.5301880Z     return mod(*inputs)
2025-08-14T21:35:28.5302195Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:35:28.5302550Z     return self._forward_impl(x)
2025-08-14T21:35:28.5302892Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-08-14T21:35:28.5303250Z     x = self.layer2(x)
2025-08-14T21:35:28.5303564Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-14T21:35:28.5303910Z     out = self.relu(out)
2025-08-14T21:35:28.5304015Z 
2025-08-14T21:35:28.5304116Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:28.5304480Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:28.5304800Z     return mod(*inputs)
2025-08-14T21:35:28.5305114Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:35:28.5305464Z     return self._forward_impl(x)
2025-08-14T21:35:28.5305814Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-08-14T21:35:28.5306167Z     x = self.layer2(x)
2025-08-14T21:35:28.5306472Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-14T21:35:28.5306814Z     out = self.relu(out)
2025-08-14T21:35:28.5306917Z 
2025-08-14T21:35:28.5307028Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:28.5307385Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:28.5307744Z     return mod(*inputs)
2025-08-14T21:35:28.5308060Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:35:28.5308413Z     return self._forward_impl(x)
2025-08-14T21:35:28.5308754Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-08-14T21:35:28.5309107Z     x = self.layer2(x)
2025-08-14T21:35:28.5309482Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-14T21:35:28.5309823Z     out = self.relu(out)
2025-08-14T21:35:28.5309927Z 
2025-08-14T21:35:28.5310029Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:28.5310390Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:28.5310716Z     return mod(*inputs)
2025-08-14T21:35:28.5311027Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:35:28.5311380Z     return self._forward_impl(x)
2025-08-14T21:35:28.5311734Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-08-14T21:35:28.5312133Z     x = self.layer2(x)
2025-08-14T21:35:28.5312435Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-08-14T21:35:28.5312781Z     out = self.relu(out)
2025-08-14T21:35:28.5312882Z 
2025-08-14T21:35:28.5312992Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:28.5313342Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:28.5313665Z     return mod(*inputs)
2025-08-14T21:35:28.5313978Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:35:28.5314349Z     return self._forward_impl(x)
2025-08-14T21:35:28.5314690Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-08-14T21:35:28.5315037Z     x = self.layer2(x)
2025-08-14T21:35:28.5315352Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-08-14T21:35:28.5315681Z     out = self.relu(out)
2025-08-14T21:35:28.5315791Z 
2025-08-14T21:35:28.5315873Z cudagraph partition due to non gpu ops
2025-08-14T21:35:28.5316113Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:28.5316470Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:28.5316776Z     return mod(*inputs)
2025-08-14T21:35:28.5317088Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:35:28.5317441Z     return self._forward_impl(x)
2025-08-14T21:35:28.5317783Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-08-14T21:35:28.5318142Z     x = self.layer2(x)
2025-08-14T21:35:28.5318454Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-14T21:35:28.5318798Z     out = self.relu(out)
2025-08-14T21:35:28.5318900Z 
2025-08-14T21:35:28.5319000Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:28.5319352Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:28.5319666Z     return mod(*inputs)
2025-08-14T21:35:28.5319969Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:35:28.5320310Z     return self._forward_impl(x)
2025-08-14T21:35:28.5320656Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-08-14T21:35:28.5321006Z     x = self.layer2(x)
2025-08-14T21:35:28.5321337Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-14T21:35:28.5321676Z     out = self.relu(out)
2025-08-14T21:35:28.5321778Z 
2025-08-14T21:35:28.5321890Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:28.5322238Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:28.5322554Z     return mod(*inputs)
2025-08-14T21:35:28.5322868Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:35:28.5323208Z     return self._forward_impl(x)
2025-08-14T21:35:28.5323544Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-08-14T21:35:28.5323894Z     x = self.layer2(x)
2025-08-14T21:35:28.5324208Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-14T21:35:28.5324538Z     out = self.relu(out)
2025-08-14T21:35:28.5324652Z 
2025-08-14T21:35:28.5324754Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:28.5325113Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:28.5325465Z     return mod(*inputs)
2025-08-14T21:35:28.5325774Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:35:28.5326117Z     return self._forward_impl(x)
2025-08-14T21:35:28.5326466Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-08-14T21:35:28.5326811Z     x = self.layer2(x)
2025-08-14T21:35:28.5327123Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-14T21:35:28.5327462Z     out = self.relu(out)
2025-08-14T21:35:28.5327567Z 
2025-08-14T21:35:28.5327657Z cudagraph partition due to non gpu ops
2025-08-14T21:35:28.5327891Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:28.5328249Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:28.5328572Z     return mod(*inputs)
2025-08-14T21:35:28.5328879Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:35:28.5329227Z     return self._forward_impl(x)
2025-08-14T21:35:28.5329572Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-08-14T21:35:28.5329925Z     x = self.layer2(x)
2025-08-14T21:35:28.5330229Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-14T21:35:28.5330565Z     out = self.relu(out)
2025-08-14T21:35:28.5330667Z 
2025-08-14T21:35:28.5330774Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:28.5331126Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:28.5331454Z     return mod(*inputs)
2025-08-14T21:35:28.5331770Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:35:28.5332122Z     return self._forward_impl(x)
2025-08-14T21:35:28.5332466Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-08-14T21:35:28.5332817Z     x = self.layer2(x)
2025-08-14T21:35:28.5333128Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-14T21:35:28.5333460Z     out = self.relu(out)
2025-08-14T21:35:28.5333572Z 
2025-08-14T21:35:28.5333673Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:28.5334031Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:28.5334354Z     return mod(*inputs)
2025-08-14T21:35:28.5334699Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:35:28.5335046Z     return self._forward_impl(x)
2025-08-14T21:35:28.5335393Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-08-14T21:35:28.5335742Z     x = self.layer2(x)
2025-08-14T21:35:28.5336049Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-14T21:35:28.5336386Z     out = self.relu(out)
2025-08-14T21:35:28.5336489Z 
2025-08-14T21:35:28.5336599Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:28.5336942Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:28.5337253Z     return mod(*inputs)
2025-08-14T21:35:28.5337565Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:35:28.5337902Z     return self._forward_impl(x)
2025-08-14T21:35:28.5338249Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-08-14T21:35:28.5338644Z     x = self.layer2(x)
2025-08-14T21:35:28.5338955Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-14T21:35:28.5339286Z     out = self.relu(out)
2025-08-14T21:35:28.5339395Z 
2025-08-14T21:35:28.5339477Z cudagraph partition due to non gpu ops
2025-08-14T21:35:28.5339717Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:28.5340064Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:28.5340386Z     return mod(*inputs)
2025-08-14T21:35:28.5340702Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:35:28.5341052Z     return self._forward_impl(x)
2025-08-14T21:35:28.5341401Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-08-14T21:35:28.5341758Z     x = self.layer2(x)
2025-08-14T21:35:28.5342073Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-14T21:35:28.5342410Z     out = self.relu(out)
2025-08-14T21:35:28.5342520Z 
2025-08-14T21:35:28.5342623Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:28.5342978Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:28.5343297Z     return mod(*inputs)
2025-08-14T21:35:28.5343605Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:35:28.5343950Z     return self._forward_impl(x)
2025-08-14T21:35:28.5344299Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-08-14T21:35:28.5344648Z     x = self.layer2(x)
2025-08-14T21:35:28.5344969Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-14T21:35:28.5345311Z     out = self.relu(out)
2025-08-14T21:35:28.5345419Z 
2025-08-14T21:35:28.5345527Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:28.5345879Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:28.5346198Z     return mod(*inputs)
2025-08-14T21:35:28.5346513Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:35:28.5346851Z     return self._forward_impl(x)
2025-08-14T21:35:28.5347204Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-08-14T21:35:28.5347561Z     x = self.layer2(x)
2025-08-14T21:35:28.5347878Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-14T21:35:28.5348256Z     out = self.relu(out)
2025-08-14T21:35:28.5348371Z 
2025-08-14T21:35:28.5348471Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:28.5348833Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:28.5349146Z     return mod(*inputs)
2025-08-14T21:35:28.5349464Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:35:28.5349811Z     return self._forward_impl(x)
2025-08-14T21:35:28.5350154Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-08-14T21:35:28.5350502Z     x = self.layer2(x)
2025-08-14T21:35:28.5350858Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-14T21:35:28.5351201Z     out = self.relu(out)
2025-08-14T21:35:28.5351306Z 
2025-08-14T21:35:28.5351391Z cudagraph partition due to non gpu ops
2025-08-14T21:35:28.5351634Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:28.5351993Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:28.5352347Z     return mod(*inputs)
2025-08-14T21:35:28.5352657Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:35:28.5352999Z     return self._forward_impl(x)
2025-08-14T21:35:28.5353350Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-14T21:35:28.5353695Z     x = self.layer3(x)
2025-08-14T21:35:28.5354010Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-14T21:35:28.5354348Z     out = self.relu(out)
2025-08-14T21:35:28.5354453Z 
2025-08-14T21:35:28.5354563Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:28.5354916Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:28.5355240Z     return mod(*inputs)
2025-08-14T21:35:28.5355557Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:35:28.5355899Z     return self._forward_impl(x)
2025-08-14T21:35:28.5356253Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-14T21:35:28.5356608Z     x = self.layer3(x)
2025-08-14T21:35:28.5356920Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-14T21:35:28.5357263Z     out = self.relu(out)
2025-08-14T21:35:28.5357376Z 
2025-08-14T21:35:28.5357478Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:28.5357838Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:28.5358149Z     return mod(*inputs)
2025-08-14T21:35:28.5358468Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:35:28.5358812Z     return self._forward_impl(x)
2025-08-14T21:35:28.5359166Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-14T21:35:28.5359517Z     x = self.layer3(x)
2025-08-14T21:35:28.5359827Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-14T21:35:28.5360171Z     out = self.relu(out)
2025-08-14T21:35:28.5360274Z 
2025-08-14T21:35:28.5360375Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:28.5360732Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:28.5361050Z     return mod(*inputs)
2025-08-14T21:35:28.5361367Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:35:28.5361740Z     return self._forward_impl(x)
2025-08-14T21:35:28.5362091Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-14T21:35:28.5362445Z     x = self.layer3(x)
2025-08-14T21:35:28.5362749Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-14T21:35:28.5363085Z     out = self.relu(out)
2025-08-14T21:35:28.5363193Z 
2025-08-14T21:35:28.5363296Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:28.5363652Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:28.5363962Z     return mod(*inputs)
2025-08-14T21:35:28.5364273Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:35:28.5364614Z     return self._forward_impl(x)
2025-08-14T21:35:28.5364954Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-14T21:35:28.5365298Z     x = self.layer3(x)
2025-08-14T21:35:28.5365610Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-08-14T21:35:28.5366025Z     out = self.relu(out)
2025-08-14T21:35:28.5366128Z 
2025-08-14T21:35:28.5366228Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:28.5366592Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:28.5366914Z     return mod(*inputs)
2025-08-14T21:35:28.5367222Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:35:28.5367572Z     return self._forward_impl(x)
2025-08-14T21:35:28.5367920Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-14T21:35:28.5368277Z     x = self.layer3(x)
2025-08-14T21:35:28.5368587Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-08-14T21:35:28.5368934Z     out = self.relu(out)
2025-08-14T21:35:28.5369042Z 
2025-08-14T21:35:28.5369134Z cudagraph partition due to non gpu ops
2025-08-14T21:35:28.5369371Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:28.5369779Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:28.5370102Z     return mod(*inputs)
2025-08-14T21:35:28.5370418Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:35:28.5370762Z     return self._forward_impl(x)
2025-08-14T21:35:28.5371117Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-14T21:35:28.5371478Z     x = self.layer3(x)
2025-08-14T21:35:28.5371792Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-14T21:35:28.5372140Z     out = self.relu(out)
2025-08-14T21:35:28.5372255Z 
2025-08-14T21:35:28.5372357Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:28.5372725Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:28.5373043Z     return mod(*inputs)
2025-08-14T21:35:28.5373365Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:35:28.5373719Z     return self._forward_impl(x)
2025-08-14T21:35:28.5374076Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-14T21:35:28.5374424Z     x = self.layer3(x)
2025-08-14T21:35:28.5374736Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-14T21:35:28.5375185Z     out = self.relu(out)
2025-08-14T21:35:28.5375286Z 
2025-08-14T21:35:28.5375446Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:28.5375797Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:28.5376114Z     return mod(*inputs)
2025-08-14T21:35:28.5376418Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:35:28.5376744Z     return self._forward_impl(x)
2025-08-14T21:35:28.5377083Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-14T21:35:28.5377428Z     x = self.layer3(x)
2025-08-14T21:35:28.5377726Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-14T21:35:28.5378060Z     out = self.relu(out)
2025-08-14T21:35:28.5378160Z 
2025-08-14T21:35:28.5378270Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:28.5378618Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:28.5378925Z     return mod(*inputs)
2025-08-14T21:35:28.5379230Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:35:28.5379624Z     return self._forward_impl(x)
2025-08-14T21:35:28.5379953Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-14T21:35:28.5380295Z     x = self.layer3(x)
2025-08-14T21:35:28.5380596Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-14T21:35:28.5380923Z     out = self.relu(out)
2025-08-14T21:35:28.5381022Z 
2025-08-14T21:35:28.5381100Z cudagraph partition due to non gpu ops
2025-08-14T21:35:28.5381332Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:28.5381674Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:28.5381977Z     return mod(*inputs)
2025-08-14T21:35:28.5382284Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:35:28.5382619Z     return self._forward_impl(x)
2025-08-14T21:35:28.5382957Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-14T21:35:28.5383355Z     x = self.layer3(x)
2025-08-14T21:35:28.5383659Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-14T21:35:28.5383989Z     out = self.relu(out)
2025-08-14T21:35:28.5384090Z 
2025-08-14T21:35:28.5384190Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:28.5384538Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:28.5384850Z     return mod(*inputs)
2025-08-14T21:35:28.5385153Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:35:28.5385528Z     return self._forward_impl(x)
2025-08-14T21:35:28.5385869Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-14T21:35:28.5386223Z     x = self.layer3(x)
2025-08-14T21:35:28.5386522Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-14T21:35:28.5386857Z     out = self.relu(out)
2025-08-14T21:35:28.5386958Z 
2025-08-14T21:35:28.5387067Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:28.5387415Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:28.5387723Z     return mod(*inputs)
2025-08-14T21:35:28.5388033Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:35:28.5388374Z     return self._forward_impl(x)
2025-08-14T21:35:28.5389280Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-14T21:35:28.5389640Z     x = self.layer3(x)
2025-08-14T21:35:28.5389996Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-14T21:35:28.5390335Z     out = self.relu(out)
2025-08-14T21:35:28.5390438Z 
2025-08-14T21:35:28.5390538Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:28.5390931Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:28.5391250Z     return mod(*inputs)
2025-08-14T21:35:28.5391553Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:35:28.5391893Z     return self._forward_impl(x)
2025-08-14T21:35:28.5392231Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-14T21:35:28.5392581Z     x = self.layer3(x)
2025-08-14T21:35:28.5392881Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-14T21:35:28.5393262Z     out = self.relu(out)
2025-08-14T21:35:28.5393361Z 
2025-08-14T21:35:28.5393447Z cudagraph partition due to non gpu ops
2025-08-14T21:35:28.5393674Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:28.5394017Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:28.5394328Z     return mod(*inputs)
2025-08-14T21:35:28.5394633Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:35:28.5394958Z     return self._forward_impl(x)
2025-08-14T21:35:28.5395295Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-14T21:35:28.5395641Z     x = self.layer3(x)
2025-08-14T21:35:28.5395939Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-14T21:35:28.5396270Z     out = self.relu(out)
2025-08-14T21:35:28.5396371Z 
2025-08-14T21:35:28.5396476Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:28.5396815Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:28.5397112Z     return mod(*inputs)
2025-08-14T21:35:28.5397413Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:35:28.5397746Z     return self._forward_impl(x)
2025-08-14T21:35:28.5398074Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-14T21:35:28.5398415Z     x = self.layer3(x)
2025-08-14T21:35:28.5398776Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-14T21:35:28.5399105Z     out = self.relu(out)
2025-08-14T21:35:28.5399203Z 
2025-08-14T21:35:28.5399301Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:28.5399646Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:28.5399956Z     return mod(*inputs)
2025-08-14T21:35:28.5400254Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:35:28.5400641Z     return self._forward_impl(x)
2025-08-14T21:35:28.5400979Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-14T21:35:28.5401323Z     x = self.layer3(x)
2025-08-14T21:35:28.5401620Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-14T21:35:28.5401948Z     out = self.relu(out)
2025-08-14T21:35:28.5402049Z 
2025-08-14T21:35:28.5402156Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:28.5402523Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:28.5402844Z     return mod(*inputs)
2025-08-14T21:35:28.5403159Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:35:28.5403511Z     return self._forward_impl(x)
2025-08-14T21:35:28.5403850Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-14T21:35:28.5404205Z     x = self.layer3(x)
2025-08-14T21:35:28.5404513Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-14T21:35:28.5404846Z     out = self.relu(out)
2025-08-14T21:35:28.5404956Z 
2025-08-14T21:35:28.5405035Z cudagraph partition due to non gpu ops
2025-08-14T21:35:28.5405272Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:28.5405626Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:28.5405936Z     return mod(*inputs)
2025-08-14T21:35:28.5406247Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:35:28.5406618Z     return self._forward_impl(x)
2025-08-14T21:35:28.5406953Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-14T21:35:28.5407297Z     x = self.layer3(x)
2025-08-14T21:35:28.5407608Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-14T21:35:28.5407939Z     out = self.relu(out)
2025-08-14T21:35:28.5408041Z 
2025-08-14T21:35:28.5408141Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:28.5408492Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:28.5408835Z     return mod(*inputs)
2025-08-14T21:35:28.5409143Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:35:28.5409485Z     return self._forward_impl(x)
2025-08-14T21:35:28.5409831Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-14T21:35:28.5410178Z     x = self.layer3(x)
2025-08-14T21:35:28.5410477Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-14T21:35:28.5410808Z     out = self.relu(out)
2025-08-14T21:35:28.5410907Z 
2025-08-14T21:35:28.5411014Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:28.5411351Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:28.5411661Z     return mod(*inputs)
2025-08-14T21:35:28.5411971Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:35:28.5412314Z     return self._forward_impl(x)
2025-08-14T21:35:28.5412648Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-14T21:35:28.5412996Z     x = self.layer3(x)
2025-08-14T21:35:28.5413303Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-14T21:35:28.5413628Z     out = self.relu(out)
2025-08-14T21:35:28.5413737Z 
2025-08-14T21:35:28.5413833Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:28.5414177Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:28.5414486Z     return mod(*inputs)
2025-08-14T21:35:28.5414788Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:35:28.5415123Z     return self._forward_impl(x)
2025-08-14T21:35:28.5415499Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-14T21:35:28.5415839Z     x = self.layer3(x)
2025-08-14T21:35:28.5416147Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-14T21:35:28.5416486Z     out = self.relu(out)
2025-08-14T21:35:28.5416586Z 
2025-08-14T21:35:28.5416674Z cudagraph partition due to non gpu ops
2025-08-14T21:35:28.5416898Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:28.5417250Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:28.5417567Z     return mod(*inputs)
2025-08-14T21:35:28.5417867Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:35:28.5418204Z     return self._forward_impl(x)
2025-08-14T21:35:28.5418542Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-14T21:35:28.5418885Z     x = self.layer3(x)
2025-08-14T21:35:28.5419185Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-14T21:35:28.5419518Z     out = self.relu(out)
2025-08-14T21:35:28.5419653Z 
2025-08-14T21:35:28.5419762Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:28.5420103Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:28.5420415Z     return mod(*inputs)
2025-08-14T21:35:28.5420726Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:35:28.5421063Z     return self._forward_impl(x)
2025-08-14T21:35:28.5421396Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-14T21:35:28.5421742Z     x = self.layer3(x)
2025-08-14T21:35:28.5422047Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-14T21:35:28.5422372Z     out = self.relu(out)
2025-08-14T21:35:28.5422484Z 
2025-08-14T21:35:28.5422584Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:28.5422938Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:28.5423251Z     return mod(*inputs)
2025-08-14T21:35:28.5423552Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:35:28.5423888Z     return self._forward_impl(x)
2025-08-14T21:35:28.5424232Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-14T21:35:28.5424570Z     x = self.layer3(x)
2025-08-14T21:35:28.5424878Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-14T21:35:28.5425209Z     out = self.relu(out)
2025-08-14T21:35:28.5425309Z 
2025-08-14T21:35:28.5425419Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:28.5425757Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:28.5426074Z     return mod(*inputs)
2025-08-14T21:35:28.5426379Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:35:28.5426708Z     return self._forward_impl(x)
2025-08-14T21:35:28.5427048Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-14T21:35:28.5427392Z     x = self.layer3(x)
2025-08-14T21:35:28.5427699Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-14T21:35:28.5428025Z     out = self.relu(out)
2025-08-14T21:35:28.5428136Z 
2025-08-14T21:35:28.5428215Z cudagraph partition due to non gpu ops
2025-08-14T21:35:28.5428446Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:28.5428818Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:28.5429128Z     return mod(*inputs)
2025-08-14T21:35:28.5429434Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:35:28.5429779Z     return self._forward_impl(x)
2025-08-14T21:35:28.5430115Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-08-14T21:35:28.5430461Z     x = self.layer4(x)
2025-08-14T21:35:28.5430768Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-14T21:35:28.5431099Z     out = self.relu(out)
2025-08-14T21:35:28.5431209Z 
2025-08-14T21:35:28.5431309Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:28.5431656Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:28.5431970Z     return mod(*inputs)
2025-08-14T21:35:28.5432278Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:35:28.5432616Z     return self._forward_impl(x)
2025-08-14T21:35:28.5432989Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-08-14T21:35:28.5433331Z     x = self.layer4(x)
2025-08-14T21:35:28.5433643Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-14T21:35:28.5433984Z     out = self.relu(out)
2025-08-14T21:35:28.5434089Z 
2025-08-14T21:35:28.5434205Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:28.5434558Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:28.5434878Z     return mod(*inputs)
2025-08-14T21:35:28.5435190Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:35:28.5435527Z     return self._forward_impl(x)
2025-08-14T21:35:28.5435879Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-08-14T21:35:28.5436231Z     x = self.layer4(x)
2025-08-14T21:35:28.5436545Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-14T21:35:28.5436874Z     out = self.relu(out)
2025-08-14T21:35:28.5436985Z 
2025-08-14T21:35:28.5437088Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:28.5437442Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:28.5437753Z     return mod(*inputs)
2025-08-14T21:35:28.5438065Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:35:28.5438404Z     return self._forward_impl(x)
2025-08-14T21:35:28.5438747Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-08-14T21:35:28.5439086Z     x = self.layer4(x)
2025-08-14T21:35:28.5439399Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-14T21:35:28.5439735Z     out = self.relu(out)
2025-08-14T21:35:28.5439838Z 
2025-08-14T21:35:28.5439938Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:28.5440293Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:28.5440604Z     return mod(*inputs)
2025-08-14T21:35:28.5440916Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:35:28.5441245Z     return self._forward_impl(x)
2025-08-14T21:35:28.5441587Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-08-14T21:35:28.5441939Z     x = self.layer4(x)
2025-08-14T21:35:28.5442285Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-08-14T21:35:28.5442617Z     out = self.relu(out)
2025-08-14T21:35:28.5442728Z 
2025-08-14T21:35:28.5442828Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:28.5443174Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:28.5443475Z     return mod(*inputs)
2025-08-14T21:35:28.5443783Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:35:28.5444117Z     return self._forward_impl(x)
2025-08-14T21:35:28.5444445Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-08-14T21:35:28.5444792Z     x = self.layer4(x)
2025-08-14T21:35:28.5445096Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-08-14T21:35:28.5445433Z     out = self.relu(out)
2025-08-14T21:35:28.5445533Z 
2025-08-14T21:35:28.5445613Z cudagraph partition due to non gpu ops
2025-08-14T21:35:28.5445849Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:28.5446230Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:28.5446533Z     return mod(*inputs)
2025-08-14T21:35:28.5446847Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:35:28.5447181Z     return self._forward_impl(x)
2025-08-14T21:35:28.5447519Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-08-14T21:35:28.5447857Z     x = self.layer4(x)
2025-08-14T21:35:28.5448162Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-14T21:35:28.5448496Z     out = self.relu(out)
2025-08-14T21:35:28.5448595Z 
2025-08-14T21:35:28.5448703Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:28.5449038Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:28.5449349Z     return mod(*inputs)
2025-08-14T21:35:28.5449655Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:35:28.5449985Z     return self._forward_impl(x)
2025-08-14T21:35:28.5450319Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-08-14T21:35:28.5450663Z     x = self.layer4(x)
2025-08-14T21:35:28.5450957Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-14T21:35:28.5451291Z     out = self.relu(out)
2025-08-14T21:35:28.5451402Z 
2025-08-14T21:35:28.5451498Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:28.5451847Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:28.5452150Z     return mod(*inputs)
2025-08-14T21:35:28.5452456Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:35:28.5452802Z     return self._forward_impl(x)
2025-08-14T21:35:28.5453138Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-08-14T21:35:28.5453471Z     x = self.layer4(x)
2025-08-14T21:35:28.5453775Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-14T21:35:28.5454099Z     out = self.relu(out)
2025-08-14T21:35:28.5454199Z 
2025-08-14T21:35:28.5454297Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:28.5454641Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:28.5454950Z     return mod(*inputs)
2025-08-14T21:35:28.5455286Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:35:28.5455618Z     return self._forward_impl(x)
2025-08-14T21:35:28.5455960Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-08-14T21:35:28.5456302Z     x = self.layer4(x)
2025-08-14T21:35:28.5456598Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-14T21:35:28.5456941Z     out = self.relu(out)
2025-08-14T21:35:28.5457041Z 
2025-08-14T21:35:28.5457129Z cudagraph partition due to non gpu ops
2025-08-14T21:35:28.5457365Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:28.5457708Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:28.5458022Z     return mod(*inputs)
2025-08-14T21:35:28.5458336Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:35:28.5458667Z     return self._forward_impl(x)
2025-08-14T21:35:28.5459009Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-08-14T21:35:28.5459393Z     x = self.layer4(x)
2025-08-14T21:35:28.5459695Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-14T21:35:28.5460019Z     out = self.relu(out)
2025-08-14T21:35:28.5460128Z 
2025-08-14T21:35:28.5460228Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:28.5460577Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:28.5460878Z     return mod(*inputs)
2025-08-14T21:35:28.5461185Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:35:28.5461523Z     return self._forward_impl(x)
2025-08-14T21:35:28.5461865Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-08-14T21:35:28.5462203Z     x = self.layer4(x)
2025-08-14T21:35:28.5462512Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-14T21:35:28.5462844Z     out = self.relu(out)
2025-08-14T21:35:28.5462945Z 
2025-08-14T21:35:28.5463045Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:28.5463391Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:28.5463707Z     return mod(*inputs)
2025-08-14T21:35:28.5464013Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:35:28.5464343Z     return self._forward_impl(x)
2025-08-14T21:35:28.5464683Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-08-14T21:35:28.5465029Z     x = self.layer4(x)
2025-08-14T21:35:28.5465325Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-14T21:35:28.5465664Z     out = self.relu(out)
2025-08-14T21:35:28.5465762Z 
2025-08-14T21:35:28.5465870Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:28.5466217Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:28.5466520Z     return mod(*inputs)
2025-08-14T21:35:28.5466823Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:35:28.5467160Z     return self._forward_impl(x)
2025-08-14T21:35:28.5467492Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-08-14T21:35:28.5467845Z     x = self.layer4(x)
2025-08-14T21:35:28.5468186Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-14T21:35:28.5468525Z     out = self.relu(out)
2025-08-14T21:35:28.5468625Z 
2025-08-14T21:35:28.5468704Z cudagraph partition due to non gpu ops
2025-08-14T21:35:28.5468919Z cudagraph partition due to non gpu ops
2025-08-14T21:35:28.5469153Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:28.5469502Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:28.5469862Z     return mod(*inputs)
2025-08-14T21:35:28.5470179Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T21:35:28.5470598Z     return self._forward_impl(x)
2025-08-14T21:35:28.5470930Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 278, in _forward_impl
2025-08-14T21:35:28.5471282Z     x = self.avgpool(x)
2025-08-14T21:35:28.5471381Z 
2025-08-14T21:35:28.5471465Z cudagraph partition due to non gpu ops
2025-08-14T21:35:28.5471679Z cudagraph partition due to non gpu ops
2025-08-14T21:35:35.6098246Z 
2025-08-14T21:35:35.7431381Z running benchmark:   0% 0/50 [00:00<?, ?it/s]
2025-08-14T21:35:35.8734826Z running benchmark:   8% 4/50 [00:00<00:01, 30.05it/s]
2025-08-14T21:35:36.0048577Z running benchmark:  16% 8/50 [00:00<00:01, 30.41it/s]
2025-08-14T21:35:36.1350346Z running benchmark:  24% 12/50 [00:00<00:01, 30.43it/s]
2025-08-14T21:35:36.2650132Z running benchmark:  32% 16/50 [00:00<00:01, 30.54it/s]
2025-08-14T21:35:36.3954877Z running benchmark:  40% 20/50 [00:00<00:00, 30.63it/s]
2025-08-14T21:35:36.5232584Z running benchmark:  48% 24/50 [00:00<00:00, 30.64it/s]
2025-08-14T21:35:36.6613186Z running benchmark:  56% 28/50 [00:00<00:00, 30.85it/s]
2025-08-14T21:35:36.7885451Z running benchmark:  64% 32/50 [00:01<00:00, 30.23it/s]
2025-08-14T21:35:36.9179991Z running benchmark:  72% 36/50 [00:01<00:00, 30.60it/s]
2025-08-14T21:35:37.0468682Z running benchmark:  80% 40/50 [00:01<00:00, 30.69it/s]
2025-08-14T21:35:37.1759810Z running benchmark:  88% 44/50 [00:01<00:00, 30.80it/s]
2025-08-14T21:35:37.2406249Z running benchmark:  96% 48/50 [00:01<00:00, 30.85it/s]
2025-08-14T21:35:37.2406704Z running benchmark: 100% 50/50 [00:01<00:00, 30.66it/s]
2025-08-14T21:35:37.3011347Z 4.091x
2025-08-14T21:35:37.3013238Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T21:35:38.2205678Z + cat /var/lib/jenkins/workspace/test/test-reports/inductor_inference_resnext50_32x4d_inductor_amp_static_cpu_smoketest.csv
2025-08-14T21:35:38.2218528Z 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
2025-08-14T21:35:38.2219173Z cpu,resnext50_32x4d,8,4.090738,6.215312,11.771279,0.916246,131.084698,143.067136,177,1,0,0,0,0,1
2025-08-14T21:35:38.2219827Z + 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
2025-08-14T21:35:38.4661869Z resnext50_32x4d                    4.090738
2025-08-14T21:35:38.5010731Z + IFS=,
2025-08-14T21:35:38.5010941Z + read -r -a model_cfg
2025-08-14T21:35:38.5011173Z + local model_name=vgg16
2025-08-14T21:35:38.5011375Z + local data_type=amp
2025-08-14T21:35:38.5011572Z + local speedup_target=1.2692454
2025-08-14T21:35:38.5011789Z + local backend=inductor
2025-08-14T21:35:38.5011991Z + [[ default == \c\p\p ]]
2025-08-14T21:35:38.5012192Z + unset TORCHINDUCTOR_CPP_WRAPPER
2025-08-14T21:35:38.5012680Z + local output_name=/var/lib/jenkins/workspace/test/test-reports/inductor_inference_vgg16_inductor_amp_static_cpu_smoketest.csv
2025-08-14T21:35:38.5013144Z + [[ static == \d\y\n\a\m\i\c ]]
2025-08-14T21:35:38.5014215Z + 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
2025-08-14T21:35:40.5474956Z 
2025-08-14T21:35:41.2076092Z 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
2025-08-14T21:35:41.2183533Z 
2025-08-14T21:35:41.2183541Z 
2025-08-14T21:35:41.3186038Z   0% 0.00/528M [00:00<?, ?B/s]
2025-08-14T21:35:41.3186321Z 
2025-08-14T21:35:41.4187949Z   8% 43.9M/528M [00:00<00:01, 459MB/s]
2025-08-14T21:35:41.4188232Z 
2025-08-14T21:35:41.5188822Z  19% 101M/528M [00:00<00:00, 540MB/s] 
2025-08-14T21:35:41.5189106Z 
2025-08-14T21:35:41.6191218Z  30% 158M/528M [00:00<00:00, 566MB/s]
2025-08-14T21:35:41.6191494Z 
2025-08-14T21:35:41.7197159Z  41% 215M/528M [00:00<00:00, 578MB/s]
2025-08-14T21:35:41.7197424Z 
2025-08-14T21:35:41.8287234Z  51% 271M/528M [00:00<00:00, 581MB/s]
2025-08-14T21:35:41.8287547Z 
2025-08-14T21:35:41.9289948Z  62% 327M/528M [00:00<00:00, 564MB/s]
2025-08-14T21:35:41.9290227Z 
2025-08-14T21:35:42.0290367Z  73% 384M/528M [00:00<00:00, 574MB/s]
2025-08-14T21:35:42.0290550Z 
2025-08-14T21:35:42.1292758Z  83% 441M/528M [00:00<00:00, 581MB/s]
2025-08-14T21:35:42.1293037Z 
2025-08-14T21:35:42.1827007Z  94% 498M/528M [00:00<00:00, 586MB/s]
2025-08-14T21:35:42.1827407Z 100% 528M/528M [00:00<00:00, 574MB/s]
2025-08-14T21:35:42.6034072Z 
2025-08-14T21:35:42.6034468Z loading model: 0it [00:02, ?it/s]
2025-08-14T21:35:42.6034852Z cpu  eval  vgg16                              
2025-08-14T21:35:45.0891800Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:45.0892296Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:45.0892645Z     return mod(*inputs)
2025-08-14T21:35:45.0893035Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-08-14T21:35:45.0893406Z     x = self.features(x)
2025-08-14T21:35:45.0893554Z 
2025-08-14T21:35:45.0893674Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:45.0894083Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:45.0894456Z     return mod(*inputs)
2025-08-14T21:35:45.0894795Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-08-14T21:35:45.0895133Z     x = self.features(x)
2025-08-14T21:35:45.0895254Z 
2025-08-14T21:35:45.0895362Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:45.0895740Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:45.0896029Z     return mod(*inputs)
2025-08-14T21:35:45.0896317Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-08-14T21:35:45.0896623Z     x = self.features(x)
2025-08-14T21:35:45.0896714Z 
2025-08-14T21:35:45.0896821Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:45.0897147Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:45.0897449Z     return mod(*inputs)
2025-08-14T21:35:45.0897733Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-08-14T21:35:45.0898029Z     x = self.features(x)
2025-08-14T21:35:45.0898133Z 
2025-08-14T21:35:45.0898297Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:45.0898661Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:45.0899000Z     return mod(*inputs)
2025-08-14T21:35:45.0899302Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-08-14T21:35:45.0899626Z     x = self.features(x)
2025-08-14T21:35:45.0899722Z 
2025-08-14T21:35:45.0899822Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:45.0901355Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:45.0901724Z     return mod(*inputs)
2025-08-14T21:35:45.0902029Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-08-14T21:35:45.0902369Z     x = self.features(x)
2025-08-14T21:35:45.0902475Z 
2025-08-14T21:35:45.0902573Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:45.0902938Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:45.0903245Z     return mod(*inputs)
2025-08-14T21:35:45.0903548Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-08-14T21:35:45.0903872Z     x = self.features(x)
2025-08-14T21:35:45.0903969Z 
2025-08-14T21:35:45.0904065Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:45.0904434Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:45.0904745Z     return mod(*inputs)
2025-08-14T21:35:45.0905043Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-08-14T21:35:45.0905465Z     x = self.features(x)
2025-08-14T21:35:45.0905569Z 
2025-08-14T21:35:45.0905665Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:45.0906030Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:45.0906344Z     return mod(*inputs)
2025-08-14T21:35:45.0906644Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-08-14T21:35:45.0906965Z     x = self.features(x)
2025-08-14T21:35:45.0907063Z 
2025-08-14T21:35:45.0907171Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:45.0907520Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:45.0907832Z     return mod(*inputs)
2025-08-14T21:35:45.0908127Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-08-14T21:35:45.0908438Z     x = self.features(x)
2025-08-14T21:35:45.0908545Z 
2025-08-14T21:35:45.0908639Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:45.0908978Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:45.0909285Z     return mod(*inputs)
2025-08-14T21:35:45.0909569Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-08-14T21:35:45.0909881Z     x = self.features(x)
2025-08-14T21:35:45.0909980Z 
2025-08-14T21:35:45.0910083Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:45.0910427Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:45.0910715Z     return mod(*inputs)
2025-08-14T21:35:45.0911002Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-08-14T21:35:45.0911311Z     x = self.features(x)
2025-08-14T21:35:45.0911409Z 
2025-08-14T21:35:45.0911503Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:45.0911832Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:45.0912131Z     return mod(*inputs)
2025-08-14T21:35:45.0912408Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-08-14T21:35:45.0912715Z     x = self.features(x)
2025-08-14T21:35:45.0912819Z 
2025-08-14T21:35:45.0912914Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:45.0913242Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:45.0913532Z     return mod(*inputs)
2025-08-14T21:35:45.0913859Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-08-14T21:35:45.0914167Z     x = self.features(x)
2025-08-14T21:35:45.0914262Z 
2025-08-14T21:35:45.0914363Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:45.0914692Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:45.0914988Z     return mod(*inputs)
2025-08-14T21:35:45.0915272Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-08-14T21:35:45.0915571Z     x = self.features(x)
2025-08-14T21:35:45.0915676Z 
2025-08-14T21:35:45.0915770Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:45.0916099Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:45.0916400Z     return mod(*inputs)
2025-08-14T21:35:45.0916678Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-08-14T21:35:45.0916989Z     x = self.features(x)
2025-08-14T21:35:45.0917083Z 
2025-08-14T21:35:45.0917189Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:45.0917549Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:45.0917846Z     return mod(*inputs)
2025-08-14T21:35:45.0918130Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-08-14T21:35:45.0918430Z     x = self.features(x)
2025-08-14T21:35:45.0918523Z 
2025-08-14T21:35:45.0918617Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:45.0918942Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:45.0919235Z     return mod(*inputs)
2025-08-14T21:35:45.0919511Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-08-14T21:35:45.0919817Z     x = self.features(x)
2025-08-14T21:35:45.0919914Z 
2025-08-14T21:35:45.0920016Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:45.0920344Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:45.0920636Z     return mod(*inputs)
2025-08-14T21:35:45.0920919Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-08-14T21:35:45.0921224Z     x = self.features(x)
2025-08-14T21:35:45.0921318Z 
2025-08-14T21:35:45.0921412Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:45.0921740Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:45.0922036Z     return mod(*inputs)
2025-08-14T21:35:45.0922318Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-08-14T21:35:45.0922613Z     x = self.features(x)
2025-08-14T21:35:45.0922715Z 
2025-08-14T21:35:45.0922810Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:45.0923137Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:45.0923430Z     return mod(*inputs)
2025-08-14T21:35:45.0923718Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-08-14T21:35:45.0924019Z     x = self.features(x)
2025-08-14T21:35:45.0924114Z 
2025-08-14T21:35:45.0924213Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:45.0924534Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:45.0924830Z     return mod(*inputs)
2025-08-14T21:35:45.0925109Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-08-14T21:35:45.0925404Z     x = self.features(x)
2025-08-14T21:35:45.0925508Z 
2025-08-14T21:35:45.0925602Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:45.0925957Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:45.0926255Z     return mod(*inputs)
2025-08-14T21:35:45.0926536Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-08-14T21:35:45.0926843Z     x = self.features(x)
2025-08-14T21:35:45.0926937Z 
2025-08-14T21:35:45.0927041Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:45.0927362Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:45.0927658Z     return mod(*inputs)
2025-08-14T21:35:45.0927944Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-08-14T21:35:45.0928248Z     x = self.features(x)
2025-08-14T21:35:45.0928345Z 
2025-08-14T21:35:45.0928443Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:45.0928776Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:45.0929073Z     return mod(*inputs)
2025-08-14T21:35:45.0929347Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-08-14T21:35:45.0929681Z     x = self.features(x)
2025-08-14T21:35:45.0929784Z 
2025-08-14T21:35:45.0929878Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:45.0930206Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:45.0930498Z     return mod(*inputs)
2025-08-14T21:35:45.0930784Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-08-14T21:35:45.0931091Z     x = self.features(x)
2025-08-14T21:35:45.0931185Z 
2025-08-14T21:35:45.0931279Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:45.0931609Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:45.0931905Z     return mod(*inputs)
2025-08-14T21:35:45.0932186Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-08-14T21:35:45.0932486Z     x = self.features(x)
2025-08-14T21:35:45.0932589Z 
2025-08-14T21:35:45.0932682Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:45.0933007Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:45.0933294Z     return mod(*inputs)
2025-08-14T21:35:45.0933581Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-08-14T21:35:45.0933886Z     x = self.features(x)
2025-08-14T21:35:45.0933981Z 
2025-08-14T21:35:45.0934084Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:45.0934404Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:45.0934701Z     return mod(*inputs)
2025-08-14T21:35:45.0934984Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-08-14T21:35:45.0935285Z     x = self.features(x)
2025-08-14T21:35:45.0935389Z 
2025-08-14T21:35:45.0935482Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:45.0935812Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:45.0936107Z     return mod(*inputs)
2025-08-14T21:35:45.0936379Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-08-14T21:35:45.0936685Z     x = self.features(x)
2025-08-14T21:35:45.0936778Z 
2025-08-14T21:35:45.0936880Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:45.0937204Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:45.0937499Z     return mod(*inputs)
2025-08-14T21:35:45.0937818Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-08-14T21:35:45.0938125Z     x = self.features(x)
2025-08-14T21:35:45.0938220Z 
2025-08-14T21:35:45.0938313Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:45.0938651Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:45.0938950Z     return mod(*inputs)
2025-08-14T21:35:45.0939225Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-08-14T21:35:45.0939531Z     x = self.features(x)
2025-08-14T21:35:45.0939633Z 
2025-08-14T21:35:45.0939727Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:45.0940060Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:45.0940351Z     return mod(*inputs)
2025-08-14T21:35:45.0940635Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/vgg.py", line 67, in forward
2025-08-14T21:35:45.0940950Z     x = self.avgpool(x)
2025-08-14T21:35:45.0941044Z 
2025-08-14T21:35:45.0941148Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:45.0941472Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:45.0941822Z     return mod(*inputs)
2025-08-14T21:35:45.0942106Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/vgg.py", line 69, in forward
2025-08-14T21:35:45.0942413Z     x = self.classifier(x)
2025-08-14T21:35:45.0942529Z 
2025-08-14T21:35:45.0942625Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:45.0942953Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:45.0943253Z     return mod(*inputs)
2025-08-14T21:35:45.0943537Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/vgg.py", line 69, in forward
2025-08-14T21:35:45.0943856Z     x = self.classifier(x)
2025-08-14T21:35:45.0943985Z 
2025-08-14T21:35:45.0944091Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:45.0944414Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:45.0944717Z     return mod(*inputs)
2025-08-14T21:35:45.0944999Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/vgg.py", line 69, in forward
2025-08-14T21:35:45.0945307Z     x = self.classifier(x)
2025-08-14T21:35:45.0945408Z 
2025-08-14T21:35:45.0945502Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:35:45.0945831Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:35:45.0946128Z     return mod(*inputs)
2025-08-14T21:35:45.0946401Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/vgg.py", line 69, in forward
2025-08-14T21:35:45.0946704Z     x = self.classifier(x)
2025-08-14T21:35:45.0946803Z 
2025-08-14T21:35:45.0946892Z cudagraph partition due to non gpu ops
2025-08-14T21:35:45.0947095Z cudagraph partition due to non gpu ops
2025-08-14T21:35:53.6264073Z 
2025-08-14T21:35:53.7507699Z running benchmark:   0% 0/50 [00:00<?, ?it/s]
2025-08-14T21:35:53.8700990Z running benchmark:   8% 4/50 [00:00<00:01, 31.96it/s]
2025-08-14T21:35:53.9890436Z running benchmark:  16% 8/50 [00:00<00:01, 32.85it/s]
2025-08-14T21:35:54.1078348Z running benchmark:  24% 12/50 [00:00<00:01, 33.20it/s]
2025-08-14T21:35:54.2272464Z running benchmark:  32% 16/50 [00:00<00:01, 33.38it/s]
2025-08-14T21:35:54.3636897Z running benchmark:  40% 20/50 [00:00<00:00, 33.43it/s]
2025-08-14T21:35:54.4824655Z running benchmark:  48% 24/50 [00:00<00:00, 31.90it/s]
2025-08-14T21:35:54.6007759Z running benchmark:  56% 28/50 [00:00<00:00, 32.46it/s]
2025-08-14T21:35:54.7194995Z running benchmark:  64% 32/50 [00:00<00:00, 32.88it/s]
2025-08-14T21:35:54.8383629Z running benchmark:  72% 36/50 [00:01<00:00, 33.13it/s]
2025-08-14T21:35:54.9572780Z running benchmark:  80% 40/50 [00:01<00:00, 33.29it/s]
2025-08-14T21:35:55.0762040Z running benchmark:  88% 44/50 [00:01<00:00, 33.40it/s]
2025-08-14T21:35:55.1356510Z running benchmark:  96% 48/50 [00:01<00:00, 33.47it/s]
2025-08-14T21:35:55.1357002Z running benchmark: 100% 50/50 [00:01<00:00, 33.11it/s]
2025-08-14T21:35:55.2139705Z 3.897x
2025-08-14T21:35:55.2140153Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T21:35:56.0451711Z + cat /var/lib/jenkins/workspace/test/test-reports/inductor_inference_vgg16_inductor_amp_static_cpu_smoketest.csv
2025-08-14T21:35:56.0472061Z 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
2025-08-14T21:35:56.0472814Z cpu,vgg16,4,3.896504,5.882473,9.861954,0.962108,261.367398,271.661056,42,1,0,0,0,0,1
2025-08-14T21:35:56.0474113Z + 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
2025-08-14T21:35:56.2899189Z vgg16                              3.896504
2025-08-14T21:35:56.3247150Z + IFS=,
2025-08-14T21:35:56.3247397Z + read -r -a model_cfg
2025-08-14T21:35:56.3247622Z + local model_name=hf_Longformer
2025-08-14T21:35:56.3247833Z + local data_type=amp
2025-08-14T21:35:56.3248037Z + local speedup_target=1.22015225
2025-08-14T21:35:56.3248265Z + local backend=inductor
2025-08-14T21:35:56.3248466Z + [[ default == \c\p\p ]]
2025-08-14T21:35:56.3248686Z + unset TORCHINDUCTOR_CPP_WRAPPER
2025-08-14T21:35:56.3249194Z + local output_name=/var/lib/jenkins/workspace/test/test-reports/inductor_inference_hf_Longformer_inductor_amp_dynamic_cpu_smoketest.csv
2025-08-14T21:35:56.3249681Z + [[ dynamic == \d\y\n\a\m\i\c ]]
2025-08-14T21:35:56.3250628Z + taskset -c 0-93 python benchmarks/dynamo/torchbench.py --inference --performance --amp -dcpu -n50 --only hf_Longformer --dynamic-shapes --dynamic-batch-only --freezing --timeout 9000 --inductor --output /var/lib/jenkins/workspace/test/test-reports/inductor_inference_hf_Longformer_inductor_amp_dynamic_cpu_smoketest.csv
2025-08-14T21:35:58.3886317Z 
2025-08-14T21:35:58.9587311Z loading model: 0it [00:00, ?it/s]
2025-08-14T21:35:58.9587536Z 
2025-08-14T21:35:58.9612905Z config.json:   0% 0.00/694 [00:00<?, ?B/s]
2025-08-14T21:35:58.9613136Z config.json: 100% 694/694 [00:00<00:00, 201kB/s]
2025-08-14T21:36:01.2824894Z 
2025-08-14T21:36:01.2828225Z loading model: 0it [00:02, ?it/s]
2025-08-14T21:36:01.2829662Z cpu  eval  hf_Longformer                      
2025-08-14T21:36:02.5665196Z W0814 21:36:02.565225 16028 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] Graph break from `Tensor.item()`, consider setting:
2025-08-14T21:36:02.5665961Z W0814 21:36:02.565225 16028 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0]     torch._dynamo.config.capture_scalar_outputs = True
2025-08-14T21:36:02.5666508Z W0814 21:36:02.565225 16028 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] or:
2025-08-14T21:36:02.5667023Z W0814 21:36:02.565225 16028 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0]     env TORCHDYNAMO_CAPTURE_SCALAR_OUTPUTS=1
2025-08-14T21:36:02.5667568Z W0814 21:36:02.565225 16028 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] to include these operations in the captured graph.
2025-08-14T21:36:02.5668008Z W0814 21:36:02.565225 16028 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] 
2025-08-14T21:36:02.5668418Z W0814 21:36:02.565225 16028 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] Graph break: from user code at:
2025-08-14T21:36:02.5669029Z W0814 21:36:02.565225 16028 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0]   File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T21:36:02.5669650Z W0814 21:36:02.565225 16028 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0]     return mod(**inputs)
2025-08-14T21:36:02.5670670Z W0814 21:36:02.565225 16028 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0]   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1703, in forward
2025-08-14T21:36:02.5671392Z W0814 21:36:02.565225 16028 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0]     outputs = self.longformer(
2025-08-14T21:36:02.5672062Z W0814 21:36:02.565225 16028 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0]   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1600, in forward
2025-08-14T21:36:02.5672743Z W0814 21:36:02.565225 16028 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0]     encoder_outputs = self.encoder(
2025-08-14T21:36:02.5673426Z W0814 21:36:02.565225 16028 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0]   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1244, in forward
2025-08-14T21:36:02.5674144Z W0814 21:36:02.565225 16028 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0]     is_global_attn = is_index_global_attn.flatten().any().item()
2025-08-14T21:36:02.5674733Z W0814 21:36:02.565225 16028 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] 
2025-08-14T21:36:02.5675107Z W0814 21:36:02.565225 16028 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] 
2025-08-14T21:36:03.5894246Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:03.5894858Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1596, in forward
2025-08-14T21:36:03.5895322Z     embedding_output = self.embeddings(
2025-08-14T21:36:03.5895813Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 410, in forward
2025-08-14T21:36:03.5896420Z     position_ids = create_position_ids_from_input_ids(input_ids, self.padding_idx).to(input_ids.device)
2025-08-14T21:36:03.5897013Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 381, in create_position_ids_from_input_ids
2025-08-14T21:36:03.5897490Z     mask = input_ids.ne(padding_idx).int()
2025-08-14T21:36:03.5897634Z 
2025-08-14T21:36:03.5897740Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:03.5898167Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1592, in forward
2025-08-14T21:36:03.5898683Z     extended_attention_mask: torch.Tensor = self.get_extended_attention_mask(attention_mask, input_shape)[
2025-08-14T21:36:03.5899177Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_utils.py", line 1763, in get_extended_attention_mask
2025-08-14T21:36:03.5899647Z     extended_attention_mask = (1.0 - extended_attention_mask) * torch.finfo(dtype).min
2025-08-14T21:36:03.5899852Z 
2025-08-14T21:36:03.5899965Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:03.5900388Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1596, in forward
2025-08-14T21:36:03.5900791Z     embedding_output = self.embeddings(
2025-08-14T21:36:03.5901186Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 410, in forward
2025-08-14T21:36:03.5901745Z     position_ids = create_position_ids_from_input_ids(input_ids, self.padding_idx).to(input_ids.device)
2025-08-14T21:36:03.5902376Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 382, in create_position_ids_from_input_ids
2025-08-14T21:36:03.5902937Z     incremental_indices = torch.cumsum(mask, dim=1).type_as(mask) * mask
2025-08-14T21:36:03.5903195Z 
2025-08-14T21:36:03.5903306Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:03.5904063Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1596, in forward
2025-08-14T21:36:03.5904550Z     embedding_output = self.embeddings(
2025-08-14T21:36:03.5905012Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 410, in forward
2025-08-14T21:36:03.5905619Z     position_ids = create_position_ids_from_input_ids(input_ids, self.padding_idx).to(input_ids.device)
2025-08-14T21:36:03.5906280Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 382, in create_position_ids_from_input_ids
2025-08-14T21:36:03.5906883Z     incremental_indices = torch.cumsum(mask, dim=1).type_as(mask) * mask
2025-08-14T21:36:03.5907123Z 
2025-08-14T21:36:23.8816179Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:23.8818394Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T21:36:23.8818959Z     layer_outputs = layer_module(
2025-08-14T21:36:23.8819755Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:36:23.8820175Z     return super().__call__(*args, **kwargs)
2025-08-14T21:36:23.8820670Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T21:36:23.8821148Z     self_attn_outputs = self.attention(
2025-08-14T21:36:23.8821604Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T21:36:23.8822059Z     self_outputs = self.self(
2025-08-14T21:36:23.8822497Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward
2025-08-14T21:36:23.8822933Z     query_vectors = self.query(hidden_states)
2025-08-14T21:36:23.8823090Z 
2025-08-14T21:36:23.8823206Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:23.8823761Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T21:36:23.8824261Z     layer_outputs = layer_module(
2025-08-14T21:36:23.8824610Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:36:23.8824986Z     return super().__call__(*args, **kwargs)
2025-08-14T21:36:23.8825421Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T21:36:23.8825849Z     self_attn_outputs = self.attention(
2025-08-14T21:36:23.8826283Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T21:36:23.8826705Z     self_outputs = self.self(
2025-08-14T21:36:23.8827105Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 536, in forward
2025-08-14T21:36:23.8827561Z     diagonal_mask = self._sliding_chunks_query_key_matmul(
2025-08-14T21:36:23.8828083Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 787, in _sliding_chunks_query_key_matmul
2025-08-14T21:36:23.8828785Z     key = key.transpose(1, 2).reshape(batch_size * num_heads, seq_len, head_dim)
2025-08-14T21:36:23.8828983Z 
2025-08-14T21:36:23.8829072Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.8829274Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.8829505Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:23.8830122Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T21:36:23.8830617Z     layer_outputs = layer_module(
2025-08-14T21:36:23.8830949Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:36:23.8831313Z     return super().__call__(*args, **kwargs)
2025-08-14T21:36:23.8831712Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T21:36:23.8832098Z     self_attn_outputs = self.attention(
2025-08-14T21:36:23.8832495Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T21:36:23.8832877Z     self_outputs = self.self(
2025-08-14T21:36:23.8833253Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-14T21:36:23.8833670Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-14T21:36:23.8834140Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 796, in _sliding_chunks_query_key_matmul
2025-08-14T21:36:23.8834748Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-14T21:36:23.8834976Z 
2025-08-14T21:36:23.8835058Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.8835253Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.8835478Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:23.8835957Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T21:36:23.8836412Z     layer_outputs = layer_module(
2025-08-14T21:36:23.8836723Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:36:23.8837071Z     return super().__call__(*args, **kwargs)
2025-08-14T21:36:23.8837463Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T21:36:23.8837853Z     self_attn_outputs = self.attention(
2025-08-14T21:36:23.8838236Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T21:36:23.8838629Z     self_outputs = self.self(
2025-08-14T21:36:23.8839010Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-14T21:36:23.8839447Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-14T21:36:23.8839906Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 796, in _sliding_chunks_query_key_matmul
2025-08-14T21:36:23.8840450Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-14T21:36:23.8840684Z 
2025-08-14T21:36:23.8840756Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.8840959Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.8841163Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.8841348Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.8841564Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:23.8842048Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T21:36:23.8842504Z     layer_outputs = layer_module(
2025-08-14T21:36:23.8842819Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:36:23.8843169Z     return super().__call__(*args, **kwargs)
2025-08-14T21:36:23.8843607Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T21:36:23.8843996Z     self_attn_outputs = self.attention(
2025-08-14T21:36:23.8844390Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T21:36:23.8844785Z     self_outputs = self.self(
2025-08-14T21:36:23.8845163Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 536, in forward
2025-08-14T21:36:23.8845582Z     diagonal_mask = self._sliding_chunks_query_key_matmul(
2025-08-14T21:36:23.8846056Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 834, in _sliding_chunks_query_key_matmul
2025-08-14T21:36:23.8846576Z     self._mask_invalid_locations(diagonal_attention_scores, window_overlap)
2025-08-14T21:36:23.8847077Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 762, in _mask_invalid_locations
2025-08-14T21:36:23.8847587Z     input_tensor[:, :affected_seq_len, :, : affected_seq_len + 1] = torch.full_like(
2025-08-14T21:36:23.8847824Z 
2025-08-14T21:36:23.8847898Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.8848122Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:23.8848602Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T21:36:23.8849070Z     layer_outputs = layer_module(
2025-08-14T21:36:23.8849396Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:36:23.8849740Z     return super().__call__(*args, **kwargs)
2025-08-14T21:36:23.8850126Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T21:36:23.8850534Z     self_attn_outputs = self.attention(
2025-08-14T21:36:23.8850935Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T21:36:23.8851325Z     self_outputs = self.self(
2025-08-14T21:36:23.8851696Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 541, in forward
2025-08-14T21:36:23.8852088Z     attn_scores += diagonal_mask
2025-08-14T21:36:23.8852204Z 
2025-08-14T21:36:23.8852310Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:23.8852806Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T21:36:23.8853257Z     layer_outputs = layer_module(
2025-08-14T21:36:23.8853587Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:36:23.8853946Z     return super().__call__(*args, **kwargs)
2025-08-14T21:36:23.8854337Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T21:36:23.8854746Z     self_attn_outputs = self.attention(
2025-08-14T21:36:23.8855138Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T21:36:23.8855527Z     self_outputs = self.self(
2025-08-14T21:36:23.8855901Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 579, in forward
2025-08-14T21:36:23.8856296Z     attn_probs = nn.functional.softmax(
2025-08-14T21:36:23.8856422Z 
2025-08-14T21:36:23.8856504Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.8856712Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.8856931Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:23.8857446Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T21:36:23.8857901Z     layer_outputs = layer_module(
2025-08-14T21:36:23.8858223Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:36:23.8858569Z     return super().__call__(*args, **kwargs)
2025-08-14T21:36:23.8858970Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T21:36:23.8859372Z     self_attn_outputs = self.attention(
2025-08-14T21:36:23.8859756Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T21:36:23.8860146Z     self_outputs = self.self(
2025-08-14T21:36:23.8860526Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T21:36:23.8861030Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T21:36:23.8861568Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 863, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T21:36:23.8862127Z     padded_value = nn.functional.pad(value, (0, 0, window_overlap, window_overlap), value=-1)
2025-08-14T21:36:23.8862540Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-14T21:36:23.8862871Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-14T21:36:23.8863026Z 
2025-08-14T21:36:23.8863124Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:23.8863621Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T21:36:23.8864084Z     layer_outputs = layer_module(
2025-08-14T21:36:23.8864406Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:36:23.8864754Z     return super().__call__(*args, **kwargs)
2025-08-14T21:36:23.8865159Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T21:36:23.8865558Z     self_attn_outputs = self.attention(
2025-08-14T21:36:23.8865952Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T21:36:23.8866346Z     self_outputs = self.self(
2025-08-14T21:36:23.8866727Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T21:36:23.8867155Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T21:36:23.8888925Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 876, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T21:36:23.8889677Z     chunked_attn_probs = self._pad_and_diagonalize(chunked_attn_probs)
2025-08-14T21:36:23.8890185Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 699, in _pad_and_diagonalize
2025-08-14T21:36:23.8890652Z     chunked_hidden_states = nn.functional.pad(
2025-08-14T21:36:23.8890994Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-14T21:36:23.8891346Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-14T21:36:23.8891498Z 
2025-08-14T21:36:23.8891603Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:23.8892247Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T21:36:23.8892730Z     layer_outputs = layer_module(
2025-08-14T21:36:23.8893077Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:36:23.8893430Z     return super().__call__(*args, **kwargs)
2025-08-14T21:36:23.8893838Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T21:36:23.8894247Z     self_attn_outputs = self.attention(
2025-08-14T21:36:23.8894641Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T21:36:23.8895037Z     self_outputs = self.self(
2025-08-14T21:36:23.8895420Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T21:36:23.8895855Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T21:36:23.8896356Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 878, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T21:36:23.8896967Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-14T21:36:23.8897176Z 
2025-08-14T21:36:23.8897278Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:23.8897767Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T21:36:23.8898217Z     layer_outputs = layer_module(
2025-08-14T21:36:23.8898544Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:36:23.8898891Z     return super().__call__(*args, **kwargs)
2025-08-14T21:36:23.8899297Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T21:36:23.8899688Z     self_attn_outputs = self.attention(
2025-08-14T21:36:23.8900086Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T21:36:23.8900489Z     self_outputs = self.self(
2025-08-14T21:36:23.8900869Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T21:36:23.8901304Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T21:36:23.8901796Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 878, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T21:36:23.8902328Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-14T21:36:23.8902523Z 
2025-08-14T21:36:23.8902624Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:23.8903113Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T21:36:23.8903575Z     layer_outputs = layer_module(
2025-08-14T21:36:23.8903904Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:36:23.8904244Z     return super().__call__(*args, **kwargs)
2025-08-14T21:36:23.8904646Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T21:36:23.8905046Z     self_attn_outputs = self.attention(
2025-08-14T21:36:23.8905442Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T21:36:23.8905823Z     self_outputs = self.self(
2025-08-14T21:36:23.8906235Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 618, in forward
2025-08-14T21:36:23.8906736Z     attn_output = attn_output.transpose(0, 1).reshape(seq_len, batch_size, embed_dim).contiguous()
2025-08-14T21:36:23.8906969Z 
2025-08-14T21:36:23.8907057Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.8907254Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.8907454Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.8907652Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.8907843Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.8908037Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.8908258Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:23.8908740Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T21:36:23.8909200Z     layer_outputs = layer_module(
2025-08-14T21:36:23.8909535Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:36:23.8909886Z     return super().__call__(*args, **kwargs)
2025-08-14T21:36:23.8910318Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T21:36:23.8910722Z     self_attn_outputs = self.attention(
2025-08-14T21:36:23.8911123Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T21:36:23.8911507Z     self_outputs = self.self(
2025-08-14T21:36:23.8911885Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward
2025-08-14T21:36:23.8912294Z     query_vectors = self.query(hidden_states)
2025-08-14T21:36:23.8912424Z 
2025-08-14T21:36:23.8912506Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.8912696Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.8912925Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:23.8913413Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T21:36:23.8913878Z     layer_outputs = layer_module(
2025-08-14T21:36:23.8914202Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:36:23.8914547Z     return super().__call__(*args, **kwargs)
2025-08-14T21:36:23.8914947Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T21:36:23.8915339Z     self_attn_outputs = self.attention(
2025-08-14T21:36:23.8915735Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T21:36:23.8916127Z     self_outputs = self.self(
2025-08-14T21:36:23.8916510Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-14T21:36:23.8916928Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-14T21:36:23.8917443Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 796, in _sliding_chunks_query_key_matmul
2025-08-14T21:36:23.8918006Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-14T21:36:23.8918243Z 
2025-08-14T21:36:23.8918327Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.8918524Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.8918752Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:23.8919245Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T21:36:23.8919749Z     layer_outputs = layer_module(
2025-08-14T21:36:23.8920082Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:36:23.8920441Z     return super().__call__(*args, **kwargs)
2025-08-14T21:36:23.8920848Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T21:36:23.8921244Z     self_attn_outputs = self.attention(
2025-08-14T21:36:23.8921648Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T21:36:23.8922054Z     self_outputs = self.self(
2025-08-14T21:36:23.8922446Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-14T21:36:23.8922874Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-14T21:36:23.8923369Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 796, in _sliding_chunks_query_key_matmul
2025-08-14T21:36:23.8923941Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-14T21:36:23.8925629Z 
2025-08-14T21:36:23.8925714Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.8925910Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.8926138Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:23.8926637Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T21:36:23.8927093Z     layer_outputs = layer_module(
2025-08-14T21:36:23.8927426Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:36:23.8927770Z     return super().__call__(*args, **kwargs)
2025-08-14T21:36:23.8928173Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T21:36:23.8928563Z     self_attn_outputs = self.attention(
2025-08-14T21:36:23.8928958Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T21:36:23.8929354Z     self_outputs = self.self(
2025-08-14T21:36:23.8929726Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 541, in forward
2025-08-14T21:36:23.8930121Z     attn_scores += diagonal_mask
2025-08-14T21:36:23.8930247Z 
2025-08-14T21:36:23.8930346Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:23.8930831Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T21:36:23.8931287Z     layer_outputs = layer_module(
2025-08-14T21:36:23.8931618Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:36:23.8931967Z     return super().__call__(*args, **kwargs)
2025-08-14T21:36:23.8932364Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T21:36:23.8932755Z     self_attn_outputs = self.attention(
2025-08-14T21:36:23.8933153Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T21:36:23.8933544Z     self_outputs = self.self(
2025-08-14T21:36:23.8933916Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 579, in forward
2025-08-14T21:36:23.8934318Z     attn_probs = nn.functional.softmax(
2025-08-14T21:36:23.8934453Z 
2025-08-14T21:36:23.8934527Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.8934762Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.8934979Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:23.8935465Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T21:36:23.8935924Z     layer_outputs = layer_module(
2025-08-14T21:36:23.8936253Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:36:23.8936589Z     return super().__call__(*args, **kwargs)
2025-08-14T21:36:23.8936990Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T21:36:23.8937387Z     self_attn_outputs = self.attention(
2025-08-14T21:36:23.8937773Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T21:36:23.8938169Z     self_outputs = self.self(
2025-08-14T21:36:23.8938552Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T21:36:23.8939018Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T21:36:23.8939523Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 863, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T21:36:23.8940075Z     padded_value = nn.functional.pad(value, (0, 0, window_overlap, window_overlap), value=-1)
2025-08-14T21:36:23.8940481Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-14T21:36:23.8940822Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-14T21:36:23.8940968Z 
2025-08-14T21:36:23.8941074Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:23.8941554Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T21:36:23.8942011Z     layer_outputs = layer_module(
2025-08-14T21:36:23.8942345Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:36:23.8942687Z     return super().__call__(*args, **kwargs)
2025-08-14T21:36:23.8943074Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T21:36:23.8943463Z     self_attn_outputs = self.attention(
2025-08-14T21:36:23.8943860Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T21:36:23.8944241Z     self_outputs = self.self(
2025-08-14T21:36:23.8944620Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T21:36:23.8945053Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T21:36:23.8945547Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 876, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T21:36:23.8946058Z     chunked_attn_probs = self._pad_and_diagonalize(chunked_attn_probs)
2025-08-14T21:36:23.8946539Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 699, in _pad_and_diagonalize
2025-08-14T21:36:23.8946982Z     chunked_hidden_states = nn.functional.pad(
2025-08-14T21:36:23.8947305Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-14T21:36:23.8947629Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-14T21:36:23.8947779Z 
2025-08-14T21:36:23.8947878Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:23.8948396Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T21:36:23.8948858Z     layer_outputs = layer_module(
2025-08-14T21:36:23.8949178Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:36:23.8949524Z     return super().__call__(*args, **kwargs)
2025-08-14T21:36:23.8949925Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T21:36:23.8950316Z     self_attn_outputs = self.attention(
2025-08-14T21:36:23.8950712Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T21:36:23.8951106Z     self_outputs = self.self(
2025-08-14T21:36:23.8951489Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T21:36:23.8951914Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T21:36:23.8952410Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 878, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T21:36:23.8952974Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-14T21:36:23.8953173Z 
2025-08-14T21:36:23.8953281Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:23.8953762Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T21:36:23.8954224Z     layer_outputs = layer_module(
2025-08-14T21:36:23.8954553Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:36:23.8954901Z     return super().__call__(*args, **kwargs)
2025-08-14T21:36:23.8955288Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T21:36:23.8955686Z     self_attn_outputs = self.attention(
2025-08-14T21:36:23.8956081Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T21:36:23.8956462Z     self_outputs = self.self(
2025-08-14T21:36:23.8956837Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T21:36:23.8957267Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T21:36:23.8957762Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 878, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T21:36:23.8958285Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-14T21:36:23.8958485Z 
2025-08-14T21:36:23.8958583Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:23.8959071Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T21:36:23.8959536Z     layer_outputs = layer_module(
2025-08-14T21:36:23.8959859Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:36:23.8960210Z     return super().__call__(*args, **kwargs)
2025-08-14T21:36:23.8960611Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T21:36:23.8961010Z     self_attn_outputs = self.attention(
2025-08-14T21:36:23.8961396Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T21:36:23.8961820Z     self_outputs = self.self(
2025-08-14T21:36:23.8962196Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 618, in forward
2025-08-14T21:36:23.8962690Z     attn_output = attn_output.transpose(0, 1).reshape(seq_len, batch_size, embed_dim).contiguous()
2025-08-14T21:36:23.8962921Z 
2025-08-14T21:36:23.8962996Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.8963199Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.8963400Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.8963590Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.8963785Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.8963983Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.8964197Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:23.8964691Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T21:36:23.8965151Z     layer_outputs = layer_module(
2025-08-14T21:36:23.8965480Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:36:23.8965907Z     return super().__call__(*args, **kwargs)
2025-08-14T21:36:23.8966305Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T21:36:23.8966699Z     self_attn_outputs = self.attention(
2025-08-14T21:36:23.8967089Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T21:36:23.8967481Z     self_outputs = self.self(
2025-08-14T21:36:23.8967860Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward
2025-08-14T21:36:23.8968265Z     query_vectors = self.query(hidden_states)
2025-08-14T21:36:23.8968399Z 
2025-08-14T21:36:23.8968474Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.8968675Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.8968903Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:23.8969387Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T21:36:23.8969896Z     layer_outputs = layer_module(
2025-08-14T21:36:23.8970232Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:36:23.8970585Z     return super().__call__(*args, **kwargs)
2025-08-14T21:36:23.8970986Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T21:36:23.8971396Z     self_attn_outputs = self.attention(
2025-08-14T21:36:23.8971810Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T21:36:23.8972215Z     self_outputs = self.self(
2025-08-14T21:36:23.8972594Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-14T21:36:23.8973025Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-14T21:36:23.8973514Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 796, in _sliding_chunks_query_key_matmul
2025-08-14T21:36:23.8974079Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-14T21:36:23.8974322Z 
2025-08-14T21:36:23.8974392Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.8974591Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.8974810Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:23.8975363Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T21:36:23.8975811Z     layer_outputs = layer_module(
2025-08-14T21:36:23.8976138Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:36:23.8976482Z     return super().__call__(*args, **kwargs)
2025-08-14T21:36:23.8976860Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T21:36:23.8977247Z     self_attn_outputs = self.attention(
2025-08-14T21:36:23.8977633Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T21:36:23.8978014Z     self_outputs = self.self(
2025-08-14T21:36:23.8978375Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-14T21:36:23.8978786Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-14T21:36:23.8979248Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 796, in _sliding_chunks_query_key_matmul
2025-08-14T21:36:23.8979824Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-14T21:36:23.8980058Z 
2025-08-14T21:36:23.8980129Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.8980321Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.8980541Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:23.8981004Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T21:36:23.8981453Z     layer_outputs = layer_module(
2025-08-14T21:36:23.8981775Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:36:23.8982114Z     return super().__call__(*args, **kwargs)
2025-08-14T21:36:23.8982492Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T21:36:23.8982880Z     self_attn_outputs = self.attention(
2025-08-14T21:36:23.8983262Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T21:36:23.8983633Z     self_outputs = self.self(
2025-08-14T21:36:23.8984000Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 541, in forward
2025-08-14T21:36:23.8984382Z     attn_scores += diagonal_mask
2025-08-14T21:36:23.8984494Z 
2025-08-14T21:36:23.8984597Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:23.8985077Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T21:36:23.8985517Z     layer_outputs = layer_module(
2025-08-14T21:36:23.8985840Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:36:23.8986175Z     return super().__call__(*args, **kwargs)
2025-08-14T21:36:23.8986561Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T21:36:23.8986938Z     self_attn_outputs = self.attention(
2025-08-14T21:36:23.8987319Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T21:36:23.8987697Z     self_outputs = self.self(
2025-08-14T21:36:23.8988067Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 579, in forward
2025-08-14T21:36:23.8988473Z     attn_probs = nn.functional.softmax(
2025-08-14T21:36:23.8988603Z 
2025-08-14T21:36:23.8988675Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.8988874Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.8989083Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:23.8989552Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T21:36:23.8989995Z     layer_outputs = layer_module(
2025-08-14T21:36:23.8990315Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:36:23.8990639Z     return super().__call__(*args, **kwargs)
2025-08-14T21:36:23.8991020Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T21:36:23.8991402Z     self_attn_outputs = self.attention(
2025-08-14T21:36:23.8991773Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T21:36:23.8992182Z     self_outputs = self.self(
2025-08-14T21:36:23.8992544Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T21:36:23.8992965Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T21:36:23.8993436Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 863, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T21:36:23.8993988Z     padded_value = nn.functional.pad(value, (0, 0, window_overlap, window_overlap), value=-1)
2025-08-14T21:36:23.8994379Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-14T21:36:23.8994708Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-14T21:36:23.8994848Z 
2025-08-14T21:36:23.8994942Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:23.8995416Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T21:36:23.8995862Z     layer_outputs = layer_module(
2025-08-14T21:36:23.8996179Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:36:23.8996505Z     return super().__call__(*args, **kwargs)
2025-08-14T21:36:23.8996888Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T21:36:23.8997273Z     self_attn_outputs = self.attention(
2025-08-14T21:36:23.8997646Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T21:36:23.8998026Z     self_outputs = self.self(
2025-08-14T21:36:23.8998391Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T21:36:23.8998810Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T21:36:23.8999283Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 876, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T21:36:23.8999787Z     chunked_attn_probs = self._pad_and_diagonalize(chunked_attn_probs)
2025-08-14T21:36:23.9000258Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 699, in _pad_and_diagonalize
2025-08-14T21:36:23.9000692Z     chunked_hidden_states = nn.functional.pad(
2025-08-14T21:36:23.9001000Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-14T21:36:23.9001355Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-14T21:36:23.9001493Z 
2025-08-14T21:36:23.9001599Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:23.9002077Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T21:36:23.9002520Z     layer_outputs = layer_module(
2025-08-14T21:36:23.9002841Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:36:23.9003177Z     return super().__call__(*args, **kwargs)
2025-08-14T21:36:23.9003552Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T21:36:23.9003938Z     self_attn_outputs = self.attention(
2025-08-14T21:36:23.9004325Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T21:36:23.9004709Z     self_outputs = self.self(
2025-08-14T21:36:23.9005071Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T21:36:23.9005522Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T21:36:23.9005998Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 878, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T21:36:23.9006518Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-14T21:36:23.9006706Z 
2025-08-14T21:36:23.9006802Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:23.9007279Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T21:36:23.9007727Z     layer_outputs = layer_module(
2025-08-14T21:36:23.9008046Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:36:23.9008378Z     return super().__call__(*args, **kwargs)
2025-08-14T21:36:23.9008774Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T21:36:23.9009149Z     self_attn_outputs = self.attention(
2025-08-14T21:36:23.9009527Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T21:36:23.9009904Z     self_outputs = self.self(
2025-08-14T21:36:23.9010264Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T21:36:23.9010669Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T21:36:23.9011148Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 878, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T21:36:23.9011656Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-14T21:36:23.9011846Z 
2025-08-14T21:36:23.9011947Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:23.9012406Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T21:36:23.9012846Z     layer_outputs = layer_module(
2025-08-14T21:36:23.9013161Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:36:23.9013483Z     return super().__call__(*args, **kwargs)
2025-08-14T21:36:23.9013865Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T21:36:23.9014247Z     self_attn_outputs = self.attention(
2025-08-14T21:36:23.9014650Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T21:36:23.9015019Z     self_outputs = self.self(
2025-08-14T21:36:23.9015383Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 618, in forward
2025-08-14T21:36:23.9015862Z     attn_output = attn_output.transpose(0, 1).reshape(seq_len, batch_size, embed_dim).contiguous()
2025-08-14T21:36:23.9016080Z 
2025-08-14T21:36:23.9016158Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9016347Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9016536Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9016726Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9016903Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9017090Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9017303Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:23.9017769Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T21:36:23.9018257Z     layer_outputs = layer_module(
2025-08-14T21:36:23.9018575Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:36:23.9018912Z     return super().__call__(*args, **kwargs)
2025-08-14T21:36:23.9019291Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T21:36:23.9019675Z     self_attn_outputs = self.attention(
2025-08-14T21:36:23.9020056Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T21:36:23.9020434Z     self_outputs = self.self(
2025-08-14T21:36:23.9020801Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward
2025-08-14T21:36:23.9021191Z     query_vectors = self.query(hidden_states)
2025-08-14T21:36:23.9021320Z 
2025-08-14T21:36:23.9021399Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9021584Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9021803Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:23.9022276Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T21:36:23.9022720Z     layer_outputs = layer_module(
2025-08-14T21:36:23.9023035Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:36:23.9023372Z     return super().__call__(*args, **kwargs)
2025-08-14T21:36:23.9023760Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T21:36:23.9024141Z     self_attn_outputs = self.attention(
2025-08-14T21:36:23.9024525Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T21:36:23.9024906Z     self_outputs = self.self(
2025-08-14T21:36:23.9025269Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-14T21:36:23.9025671Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-14T21:36:23.9026128Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 796, in _sliding_chunks_query_key_matmul
2025-08-14T21:36:23.9026666Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-14T21:36:23.9026891Z 
2025-08-14T21:36:23.9026972Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9027200Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9027424Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:23.9027903Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T21:36:23.9028357Z     layer_outputs = layer_module(
2025-08-14T21:36:23.9028673Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:36:23.9029014Z     return super().__call__(*args, **kwargs)
2025-08-14T21:36:23.9029404Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T21:36:23.9029787Z     self_attn_outputs = self.attention(
2025-08-14T21:36:23.9030176Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T21:36:23.9030560Z     self_outputs = self.self(
2025-08-14T21:36:23.9030934Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-14T21:36:23.9031369Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-14T21:36:23.9031825Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 796, in _sliding_chunks_query_key_matmul
2025-08-14T21:36:23.9032358Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-14T21:36:23.9032581Z 
2025-08-14T21:36:23.9032658Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9032844Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9033056Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:23.9033528Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T21:36:23.9033964Z     layer_outputs = layer_module(
2025-08-14T21:36:23.9034280Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:36:23.9034617Z     return super().__call__(*args, **kwargs)
2025-08-14T21:36:23.9034991Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T21:36:23.9035366Z     self_attn_outputs = self.attention(
2025-08-14T21:36:23.9035747Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T21:36:23.9036121Z     self_outputs = self.self(
2025-08-14T21:36:23.9036484Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 541, in forward
2025-08-14T21:36:23.9036855Z     attn_scores += diagonal_mask
2025-08-14T21:36:23.9036971Z 
2025-08-14T21:36:23.9037067Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:23.9037532Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T21:36:23.9037974Z     layer_outputs = layer_module(
2025-08-14T21:36:23.9038294Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:36:23.9038628Z     return super().__call__(*args, **kwargs)
2025-08-14T21:36:23.9039012Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T21:36:23.9039388Z     self_attn_outputs = self.attention(
2025-08-14T21:36:23.9039777Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T21:36:23.9040157Z     self_outputs = self.self(
2025-08-14T21:36:23.9040550Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 579, in forward
2025-08-14T21:36:23.9040929Z     attn_probs = nn.functional.softmax(
2025-08-14T21:36:23.9041062Z 
2025-08-14T21:36:23.9041134Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9041331Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9041541Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:23.9042013Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T21:36:23.9042457Z     layer_outputs = layer_module(
2025-08-14T21:36:23.9042772Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:36:23.9043096Z     return super().__call__(*args, **kwargs)
2025-08-14T21:36:23.9043484Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T21:36:23.9043869Z     self_attn_outputs = self.attention(
2025-08-14T21:36:23.9044240Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T21:36:23.9044658Z     self_outputs = self.self(
2025-08-14T21:36:23.9045032Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T21:36:23.9045460Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T21:36:23.9045944Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 863, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T21:36:23.9046488Z     padded_value = nn.functional.pad(value, (0, 0, window_overlap, window_overlap), value=-1)
2025-08-14T21:36:23.9046891Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-14T21:36:23.9047229Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-14T21:36:23.9047373Z 
2025-08-14T21:36:23.9047475Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:23.9047957Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T21:36:23.9048408Z     layer_outputs = layer_module(
2025-08-14T21:36:23.9048737Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:36:23.9049073Z     return super().__call__(*args, **kwargs)
2025-08-14T21:36:23.9049464Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T21:36:23.9049854Z     self_attn_outputs = self.attention(
2025-08-14T21:36:23.9050237Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T21:36:23.9050618Z     self_outputs = self.self(
2025-08-14T21:36:23.9050997Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T21:36:23.9051422Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T21:36:23.9051908Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 876, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T21:36:23.9052413Z     chunked_attn_probs = self._pad_and_diagonalize(chunked_attn_probs)
2025-08-14T21:36:23.9052886Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 699, in _pad_and_diagonalize
2025-08-14T21:36:23.9053329Z     chunked_hidden_states = nn.functional.pad(
2025-08-14T21:36:23.9053674Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-14T21:36:23.9053999Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-14T21:36:23.9054140Z 
2025-08-14T21:36:23.9054245Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:23.9054716Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T21:36:23.9055155Z     layer_outputs = layer_module(
2025-08-14T21:36:23.9055476Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:36:23.9055812Z     return super().__call__(*args, **kwargs)
2025-08-14T21:36:23.9056187Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T21:36:23.9056572Z     self_attn_outputs = self.attention(
2025-08-14T21:36:23.9056954Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T21:36:23.9057335Z     self_outputs = self.self(
2025-08-14T21:36:23.9057726Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T21:36:23.9058147Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T21:36:23.9058626Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 878, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T21:36:23.9059144Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-14T21:36:23.9059332Z 
2025-08-14T21:36:23.9059428Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:23.9059900Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T21:36:23.9060348Z     layer_outputs = layer_module(
2025-08-14T21:36:23.9060666Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:36:23.9060992Z     return super().__call__(*args, **kwargs)
2025-08-14T21:36:23.9061378Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T21:36:23.9061767Z     self_attn_outputs = self.attention(
2025-08-14T21:36:23.9062143Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T21:36:23.9062522Z     self_outputs = self.self(
2025-08-14T21:36:23.9062889Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T21:36:23.9063309Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T21:36:23.9063778Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 878, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T21:36:23.9064302Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-14T21:36:23.9064497Z 
2025-08-14T21:36:23.9064593Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:23.9065069Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T21:36:23.9065505Z     layer_outputs = layer_module(
2025-08-14T21:36:23.9065827Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:36:23.9066162Z     return super().__call__(*args, **kwargs)
2025-08-14T21:36:23.9066575Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T21:36:23.9066958Z     self_attn_outputs = self.attention(
2025-08-14T21:36:23.9067344Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T21:36:23.9067727Z     self_outputs = self.self(
2025-08-14T21:36:23.9068087Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 618, in forward
2025-08-14T21:36:23.9068570Z     attn_output = attn_output.transpose(0, 1).reshape(seq_len, batch_size, embed_dim).contiguous()
2025-08-14T21:36:23.9068801Z 
2025-08-14T21:36:23.9068876Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9069074Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9069260Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9069459Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9069702Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9069897Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9070121Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:23.9070617Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T21:36:23.9071133Z     layer_outputs = layer_module(
2025-08-14T21:36:23.9071448Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:36:23.9071785Z     return super().__call__(*args, **kwargs)
2025-08-14T21:36:23.9072178Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T21:36:23.9072556Z     self_attn_outputs = self.attention(
2025-08-14T21:36:23.9072943Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T21:36:23.9073327Z     self_outputs = self.self(
2025-08-14T21:36:23.9073699Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward
2025-08-14T21:36:23.9074089Z     query_vectors = self.query(hidden_states)
2025-08-14T21:36:23.9074228Z 
2025-08-14T21:36:23.9074302Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9074500Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9074721Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:23.9075190Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T21:36:23.9075637Z     layer_outputs = layer_module(
2025-08-14T21:36:23.9075958Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:36:23.9076290Z     return super().__call__(*args, **kwargs)
2025-08-14T21:36:23.9076679Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T21:36:23.9077069Z     self_attn_outputs = self.attention(
2025-08-14T21:36:23.9077458Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T21:36:23.9077830Z     self_outputs = self.self(
2025-08-14T21:36:23.9078200Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-14T21:36:23.9078610Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-14T21:36:23.9079075Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 796, in _sliding_chunks_query_key_matmul
2025-08-14T21:36:23.9079604Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-14T21:36:23.9079897Z 
2025-08-14T21:36:23.9079972Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9080170Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9080388Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:23.9080864Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T21:36:23.9081309Z     layer_outputs = layer_module(
2025-08-14T21:36:23.9081630Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:36:23.9081960Z     return super().__call__(*args, **kwargs)
2025-08-14T21:36:23.9082350Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T21:36:23.9082739Z     self_attn_outputs = self.attention(
2025-08-14T21:36:23.9083130Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T21:36:23.9083505Z     self_outputs = self.self(
2025-08-14T21:36:23.9083899Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-14T21:36:23.9084305Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-14T21:36:23.9084751Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 796, in _sliding_chunks_query_key_matmul
2025-08-14T21:36:23.9085286Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-14T21:36:23.9085516Z 
2025-08-14T21:36:23.9085587Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9085778Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9085985Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:23.9086458Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T21:36:23.9086904Z     layer_outputs = layer_module(
2025-08-14T21:36:23.9087224Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:36:23.9087552Z     return super().__call__(*args, **kwargs)
2025-08-14T21:36:23.9087940Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T21:36:23.9088329Z     self_attn_outputs = self.attention(
2025-08-14T21:36:23.9088705Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T21:36:23.9089087Z     self_outputs = self.self(
2025-08-14T21:36:23.9089455Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 541, in forward
2025-08-14T21:36:23.9089835Z     attn_scores += diagonal_mask
2025-08-14T21:36:23.9089945Z 
2025-08-14T21:36:23.9090039Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:23.9090516Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T21:36:23.9090965Z     layer_outputs = layer_module(
2025-08-14T21:36:23.9091282Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:36:23.9091608Z     return super().__call__(*args, **kwargs)
2025-08-14T21:36:23.9091992Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T21:36:23.9092379Z     self_attn_outputs = self.attention(
2025-08-14T21:36:23.9092778Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T21:36:23.9093156Z     self_outputs = self.self(
2025-08-14T21:36:23.9093522Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 579, in forward
2025-08-14T21:36:23.9093911Z     attn_probs = nn.functional.softmax(
2025-08-14T21:36:23.9094033Z 
2025-08-14T21:36:23.9094107Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9094304Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9094519Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:23.9094983Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T21:36:23.9095426Z     layer_outputs = layer_module(
2025-08-14T21:36:23.9095741Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:36:23.9096073Z     return super().__call__(*args, **kwargs)
2025-08-14T21:36:23.9096446Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T21:36:23.9096863Z     self_attn_outputs = self.attention(
2025-08-14T21:36:23.9097246Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T21:36:23.9097624Z     self_outputs = self.self(
2025-08-14T21:36:23.9097982Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T21:36:23.9098401Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T21:36:23.9098889Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 863, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T21:36:23.9099432Z     padded_value = nn.functional.pad(value, (0, 0, window_overlap, window_overlap), value=-1)
2025-08-14T21:36:23.9099819Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-14T21:36:23.9100147Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-14T21:36:23.9100286Z 
2025-08-14T21:36:23.9100389Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:23.9100854Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T21:36:23.9101297Z     layer_outputs = layer_module(
2025-08-14T21:36:23.9101619Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:36:23.9101954Z     return super().__call__(*args, **kwargs)
2025-08-14T21:36:23.9102335Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T21:36:23.9102721Z     self_attn_outputs = self.attention(
2025-08-14T21:36:23.9103109Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T21:36:23.9103494Z     self_outputs = self.self(
2025-08-14T21:36:23.9103853Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T21:36:23.9104273Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T21:36:23.9104754Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 876, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T21:36:23.9105264Z     chunked_attn_probs = self._pad_and_diagonalize(chunked_attn_probs)
2025-08-14T21:36:23.9105755Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 699, in _pad_and_diagonalize
2025-08-14T21:36:23.9106193Z     chunked_hidden_states = nn.functional.pad(
2025-08-14T21:36:23.9106506Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-14T21:36:23.9106826Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-14T21:36:23.9106971Z 
2025-08-14T21:36:23.9107064Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:23.9107539Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T21:36:23.9107986Z     layer_outputs = layer_module(
2025-08-14T21:36:23.9108300Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:36:23.9108636Z     return super().__call__(*args, **kwargs)
2025-08-14T21:36:23.9109023Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T21:36:23.9109411Z     self_attn_outputs = self.attention(
2025-08-14T21:36:23.9109791Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T21:36:23.9110203Z     self_outputs = self.self(
2025-08-14T21:36:23.9110571Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T21:36:23.9110983Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T21:36:23.9111468Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 878, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T21:36:23.9111987Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-14T21:36:23.9112175Z 
2025-08-14T21:36:23.9112281Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:23.9112753Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T21:36:23.9113202Z     layer_outputs = layer_module(
2025-08-14T21:36:23.9113519Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:36:23.9113860Z     return super().__call__(*args, **kwargs)
2025-08-14T21:36:23.9114239Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T21:36:23.9114628Z     self_attn_outputs = self.attention(
2025-08-14T21:36:23.9115013Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T21:36:23.9115392Z     self_outputs = self.self(
2025-08-14T21:36:23.9115755Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T21:36:23.9116172Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T21:36:23.9116656Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 878, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T21:36:23.9117160Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-14T21:36:23.9117357Z 
2025-08-14T21:36:23.9117451Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:23.9117921Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T21:36:23.9118370Z     layer_outputs = layer_module(
2025-08-14T21:36:23.9118680Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:36:23.9119053Z     return super().__call__(*args, **kwargs)
2025-08-14T21:36:23.9119436Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T21:36:23.9119823Z     self_attn_outputs = self.attention(
2025-08-14T21:36:23.9120197Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T21:36:23.9120575Z     self_outputs = self.self(
2025-08-14T21:36:23.9120944Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 618, in forward
2025-08-14T21:36:23.9121421Z     attn_output = attn_output.transpose(0, 1).reshape(seq_len, batch_size, embed_dim).contiguous()
2025-08-14T21:36:23.9121641Z 
2025-08-14T21:36:23.9121712Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9121908Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9122104Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9122281Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9122467Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9122691Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9122891Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:23.9123348Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T21:36:23.9123786Z     layer_outputs = layer_module(
2025-08-14T21:36:23.9124092Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:36:23.9124410Z     return super().__call__(*args, **kwargs)
2025-08-14T21:36:23.9124787Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T21:36:23.9125157Z     self_attn_outputs = self.attention(
2025-08-14T21:36:23.9125543Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T21:36:23.9125913Z     self_outputs = self.self(
2025-08-14T21:36:23.9126274Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward
2025-08-14T21:36:23.9126659Z     query_vectors = self.query(hidden_states)
2025-08-14T21:36:23.9126782Z 
2025-08-14T21:36:23.9126851Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9127040Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9127256Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:23.9127720Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T21:36:23.9128152Z     layer_outputs = layer_module(
2025-08-14T21:36:23.9128470Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:36:23.9128799Z     return super().__call__(*args, **kwargs)
2025-08-14T21:36:23.9129183Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T21:36:23.9129562Z     self_attn_outputs = self.attention(
2025-08-14T21:36:23.9129940Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T21:36:23.9130314Z     self_outputs = self.self(
2025-08-14T21:36:23.9130669Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-14T21:36:23.9131071Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-14T21:36:23.9131554Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 796, in _sliding_chunks_query_key_matmul
2025-08-14T21:36:23.9132085Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-14T21:36:23.9132313Z 
2025-08-14T21:36:23.9132384Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9132573Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9132782Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:23.9133240Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T21:36:23.9133671Z     layer_outputs = layer_module(
2025-08-14T21:36:23.9133986Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:36:23.9134317Z     return super().__call__(*args, **kwargs)
2025-08-14T21:36:23.9134690Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T21:36:23.9135062Z     self_attn_outputs = self.attention(
2025-08-14T21:36:23.9135437Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T21:36:23.9135843Z     self_outputs = self.self(
2025-08-14T21:36:23.9136200Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-14T21:36:23.9136601Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-14T21:36:23.9137059Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 796, in _sliding_chunks_query_key_matmul
2025-08-14T21:36:23.9137592Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-14T21:36:23.9137814Z 
2025-08-14T21:36:23.9138047Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9138250Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9138471Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:23.9138936Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T21:36:23.9139389Z     layer_outputs = layer_module(
2025-08-14T21:36:23.9139708Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:36:23.9140048Z     return super().__call__(*args, **kwargs)
2025-08-14T21:36:23.9140426Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T21:36:23.9140811Z     self_attn_outputs = self.attention(
2025-08-14T21:36:23.9141197Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T21:36:23.9141581Z     self_outputs = self.self(
2025-08-14T21:36:23.9141945Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 541, in forward
2025-08-14T21:36:23.9142331Z     attn_scores += diagonal_mask
2025-08-14T21:36:23.9142445Z 
2025-08-14T21:36:23.9142549Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:23.9143009Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T21:36:23.9143457Z     layer_outputs = layer_module(
2025-08-14T21:36:23.9143782Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:36:23.9144122Z     return super().__call__(*args, **kwargs)
2025-08-14T21:36:23.9144502Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T21:36:23.9144918Z     self_attn_outputs = self.attention(
2025-08-14T21:36:23.9145294Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T21:36:23.9145672Z     self_outputs = self.self(
2025-08-14T21:36:23.9146026Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 579, in forward
2025-08-14T21:36:23.9146411Z     attn_probs = nn.functional.softmax(
2025-08-14T21:36:23.9146535Z 
2025-08-14T21:36:23.9146616Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9146804Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9147018Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:23.9147487Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T21:36:23.9147932Z     layer_outputs = layer_module(
2025-08-14T21:36:23.9148243Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:36:23.9148610Z     return super().__call__(*args, **kwargs)
2025-08-14T21:36:23.9148998Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T21:36:23.9149379Z     self_attn_outputs = self.attention(
2025-08-14T21:36:23.9149754Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T21:36:23.9150132Z     self_outputs = self.self(
2025-08-14T21:36:23.9150500Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T21:36:23.9150914Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T21:36:23.9151399Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 863, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T21:36:23.9151937Z     padded_value = nn.functional.pad(value, (0, 0, window_overlap, window_overlap), value=-1)
2025-08-14T21:36:23.9152332Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-14T21:36:23.9152649Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-14T21:36:23.9152797Z 
2025-08-14T21:36:23.9152891Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:23.9153363Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T21:36:23.9153807Z     layer_outputs = layer_module(
2025-08-14T21:36:23.9154114Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:36:23.9154450Z     return super().__call__(*args, **kwargs)
2025-08-14T21:36:23.9154834Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T21:36:23.9155217Z     self_attn_outputs = self.attention(
2025-08-14T21:36:23.9155592Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T21:36:23.9155971Z     self_outputs = self.self(
2025-08-14T21:36:23.9156338Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T21:36:23.9156750Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T21:36:23.9157230Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 876, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T21:36:23.9157755Z     chunked_attn_probs = self._pad_and_diagonalize(chunked_attn_probs)
2025-08-14T21:36:23.9158227Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 699, in _pad_and_diagonalize
2025-08-14T21:36:23.9158657Z     chunked_hidden_states = nn.functional.pad(
2025-08-14T21:36:23.9158971Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-14T21:36:23.9159298Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-14T21:36:23.9159436Z 
2025-08-14T21:36:23.9159540Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:23.9160008Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T21:36:23.9160460Z     layer_outputs = layer_module(
2025-08-14T21:36:23.9160784Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:36:23.9161122Z     return super().__call__(*args, **kwargs)
2025-08-14T21:36:23.9161504Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T21:36:23.9161924Z     self_attn_outputs = self.attention(
2025-08-14T21:36:23.9162314Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T21:36:23.9162693Z     self_outputs = self.self(
2025-08-14T21:36:23.9163063Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T21:36:23.9163482Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T21:36:23.9163966Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 878, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T21:36:23.9164481Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-14T21:36:23.9164677Z 
2025-08-14T21:36:23.9164773Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:23.9165252Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T21:36:23.9165696Z     layer_outputs = layer_module(
2025-08-14T21:36:23.9166005Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:36:23.9166337Z     return super().__call__(*args, **kwargs)
2025-08-14T21:36:23.9166723Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T21:36:23.9167108Z     self_attn_outputs = self.attention(
2025-08-14T21:36:23.9167488Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T21:36:23.9167872Z     self_outputs = self.self(
2025-08-14T21:36:23.9168238Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T21:36:23.9168657Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T21:36:23.9169143Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 878, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T21:36:23.9169713Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-14T21:36:23.9169904Z 
2025-08-14T21:36:23.9170010Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:23.9170488Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T21:36:23.9170956Z     layer_outputs = layer_module(
2025-08-14T21:36:23.9171398Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:36:23.9171746Z     return super().__call__(*args, **kwargs)
2025-08-14T21:36:23.9172138Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T21:36:23.9172533Z     self_attn_outputs = self.attention(
2025-08-14T21:36:23.9172930Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T21:36:23.9173313Z     self_outputs = self.self(
2025-08-14T21:36:23.9173695Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 618, in forward
2025-08-14T21:36:23.9174190Z     attn_output = attn_output.transpose(0, 1).reshape(seq_len, batch_size, embed_dim).contiguous()
2025-08-14T21:36:23.9174417Z 
2025-08-14T21:36:23.9174504Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9174705Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9174911Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9175153Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9175339Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9175531Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9175754Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:23.9176237Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T21:36:23.9176691Z     layer_outputs = layer_module(
2025-08-14T21:36:23.9177024Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:36:23.9177372Z     return super().__call__(*args, **kwargs)
2025-08-14T21:36:23.9177768Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T21:36:23.9178156Z     self_attn_outputs = self.attention(
2025-08-14T21:36:23.9178549Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T21:36:23.9178942Z     self_outputs = self.self(
2025-08-14T21:36:23.9179308Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward
2025-08-14T21:36:23.9179711Z     query_vectors = self.query(hidden_states)
2025-08-14T21:36:23.9179851Z 
2025-08-14T21:36:23.9179925Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9180125Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9180345Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:23.9180833Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T21:36:23.9181294Z     layer_outputs = layer_module(
2025-08-14T21:36:23.9181614Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:36:23.9181961Z     return super().__call__(*args, **kwargs)
2025-08-14T21:36:23.9182355Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T21:36:23.9182748Z     self_attn_outputs = self.attention(
2025-08-14T21:36:23.9183132Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T21:36:23.9183526Z     self_outputs = self.self(
2025-08-14T21:36:23.9183895Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-14T21:36:23.9184304Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-14T21:36:23.9184785Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 796, in _sliding_chunks_query_key_matmul
2025-08-14T21:36:23.9185333Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-14T21:36:23.9185559Z 
2025-08-14T21:36:23.9185639Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9185835Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9186046Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:23.9186517Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T21:36:23.9186961Z     layer_outputs = layer_module(
2025-08-14T21:36:23.9187270Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:36:23.9187606Z     return super().__call__(*args, **kwargs)
2025-08-14T21:36:23.9187992Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T21:36:23.9188407Z     self_attn_outputs = self.attention(
2025-08-14T21:36:23.9188787Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T21:36:23.9189163Z     self_outputs = self.self(
2025-08-14T21:36:23.9189530Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-14T21:36:23.9189927Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-14T21:36:23.9190385Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 796, in _sliding_chunks_query_key_matmul
2025-08-14T21:36:23.9190923Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-14T21:36:23.9191146Z 
2025-08-14T21:36:23.9191227Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9191415Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9191638Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:23.9192107Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T21:36:23.9192560Z     layer_outputs = layer_module(
2025-08-14T21:36:23.9192874Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:36:23.9193215Z     return super().__call__(*args, **kwargs)
2025-08-14T21:36:23.9193604Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T21:36:23.9193982Z     self_attn_outputs = self.attention(
2025-08-14T21:36:23.9194374Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T21:36:23.9194756Z     self_outputs = self.self(
2025-08-14T21:36:23.9195132Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 541, in forward
2025-08-14T21:36:23.9195509Z     attn_scores += diagonal_mask
2025-08-14T21:36:23.9195629Z 
2025-08-14T21:36:23.9195724Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:23.9196202Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T21:36:23.9196654Z     layer_outputs = layer_module(
2025-08-14T21:36:23.9196972Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:36:23.9197309Z     return super().__call__(*args, **kwargs)
2025-08-14T21:36:23.9197732Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T21:36:23.9198108Z     self_attn_outputs = self.attention(
2025-08-14T21:36:23.9198497Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T21:36:23.9198876Z     self_outputs = self.self(
2025-08-14T21:36:23.9199241Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 579, in forward
2025-08-14T21:36:23.9199616Z     attn_probs = nn.functional.softmax(
2025-08-14T21:36:23.9199749Z 
2025-08-14T21:36:23.9199821Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9200019Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9200232Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:23.9200701Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T21:36:23.9201146Z     layer_outputs = layer_module(
2025-08-14T21:36:23.9201500Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:36:23.9201832Z     return super().__call__(*args, **kwargs)
2025-08-14T21:36:23.9202225Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T21:36:23.9202609Z     self_attn_outputs = self.attention(
2025-08-14T21:36:23.9202996Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T21:36:23.9203372Z     self_outputs = self.self(
2025-08-14T21:36:23.9203745Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T21:36:23.9204174Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T21:36:23.9204659Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 863, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T21:36:23.9205194Z     padded_value = nn.functional.pad(value, (0, 0, window_overlap, window_overlap), value=-1)
2025-08-14T21:36:23.9205590Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-14T21:36:23.9205922Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-14T21:36:23.9206059Z 
2025-08-14T21:36:23.9206162Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:23.9206630Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T21:36:23.9207081Z     layer_outputs = layer_module(
2025-08-14T21:36:23.9207403Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:36:23.9207736Z     return super().__call__(*args, **kwargs)
2025-08-14T21:36:23.9208125Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T21:36:23.9208515Z     self_attn_outputs = self.attention(
2025-08-14T21:36:23.9208904Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T21:36:23.9209281Z     self_outputs = self.self(
2025-08-14T21:36:23.9209649Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T21:36:23.9210073Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T21:36:23.9210583Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 876, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T21:36:23.9211073Z     chunked_attn_probs = self._pad_and_diagonalize(chunked_attn_probs)
2025-08-14T21:36:23.9211543Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 699, in _pad_and_diagonalize
2025-08-14T21:36:23.9211976Z     chunked_hidden_states = nn.functional.pad(
2025-08-14T21:36:23.9212282Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-14T21:36:23.9212605Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-14T21:36:23.9212752Z 
2025-08-14T21:36:23.9212848Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:23.9213320Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T21:36:23.9213762Z     layer_outputs = layer_module(
2025-08-14T21:36:23.9214087Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:36:23.9214424Z     return super().__call__(*args, **kwargs)
2025-08-14T21:36:23.9214846Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T21:36:23.9215227Z     self_attn_outputs = self.attention(
2025-08-14T21:36:23.9215613Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T21:36:23.9215997Z     self_outputs = self.self(
2025-08-14T21:36:23.9216356Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T21:36:23.9216781Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T21:36:23.9217268Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 878, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T21:36:23.9217789Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-14T21:36:23.9217979Z 
2025-08-14T21:36:23.9218074Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:23.9218556Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T21:36:23.9219010Z     layer_outputs = layer_module(
2025-08-14T21:36:23.9219330Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:36:23.9219658Z     return super().__call__(*args, **kwargs)
2025-08-14T21:36:23.9220044Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T21:36:23.9220432Z     self_attn_outputs = self.attention(
2025-08-14T21:36:23.9220819Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T21:36:23.9221192Z     self_outputs = self.self(
2025-08-14T21:36:23.9221563Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T21:36:23.9221981Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T21:36:23.9222464Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 878, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T21:36:23.9222973Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-14T21:36:23.9223168Z 
2025-08-14T21:36:23.9223262Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:23.9223767Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T21:36:23.9224216Z     layer_outputs = layer_module(
2025-08-14T21:36:23.9224529Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:36:23.9224873Z     return super().__call__(*args, **kwargs)
2025-08-14T21:36:23.9225260Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T21:36:23.9225639Z     self_attn_outputs = self.attention(
2025-08-14T21:36:23.9226024Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T21:36:23.9226403Z     self_outputs = self.self(
2025-08-14T21:36:23.9226769Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 618, in forward
2025-08-14T21:36:23.9227246Z     attn_output = attn_output.transpose(0, 1).reshape(seq_len, batch_size, embed_dim).contiguous()
2025-08-14T21:36:23.9227473Z 
2025-08-14T21:36:23.9227549Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9227776Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9227965Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9228159Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9228351Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9228540Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9228637Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:23.9228962Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T21:36:23.9229039Z     layer_outputs = layer_module(
2025-08-14T21:36:23.9229245Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:36:23.9229322Z     return super().__call__(*args, **kwargs)
2025-08-14T21:36:23.9229588Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T21:36:23.9229661Z     self_attn_outputs = self.attention(
2025-08-14T21:36:23.9229927Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T21:36:23.9229992Z     self_outputs = self.self(
2025-08-14T21:36:23.9230246Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward
2025-08-14T21:36:23.9230335Z     query_vectors = self.query(hidden_states)
2025-08-14T21:36:23.9230338Z 
2025-08-14T21:36:23.9230410Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9230490Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9230585Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:23.9230908Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T21:36:23.9230985Z     layer_outputs = layer_module(
2025-08-14T21:36:23.9231187Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:36:23.9231260Z     return super().__call__(*args, **kwargs)
2025-08-14T21:36:23.9231524Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T21:36:23.9231592Z     self_attn_outputs = self.attention(
2025-08-14T21:36:23.9231855Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T21:36:23.9231921Z     self_outputs = self.self(
2025-08-14T21:36:23.9232203Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-14T21:36:23.9232311Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-14T21:36:23.9232624Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 796, in _sliding_chunks_query_key_matmul
2025-08-14T21:36:23.9232804Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-14T21:36:23.9232807Z 
2025-08-14T21:36:23.9232882Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9232953Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9233055Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:23.9233374Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T21:36:23.9233440Z     layer_outputs = layer_module(
2025-08-14T21:36:23.9233652Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:36:23.9233723Z     return super().__call__(*args, **kwargs)
2025-08-14T21:36:23.9234024Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T21:36:23.9234095Z     self_attn_outputs = self.attention(
2025-08-14T21:36:23.9234351Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T21:36:23.9234425Z     self_outputs = self.self(
2025-08-14T21:36:23.9234678Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-14T21:36:23.9234778Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-14T21:36:23.9235090Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 796, in _sliding_chunks_query_key_matmul
2025-08-14T21:36:23.9235259Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-14T21:36:23.9235265Z 
2025-08-14T21:36:23.9235345Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9235415Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9235508Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:23.9235835Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T21:36:23.9235900Z     layer_outputs = layer_module(
2025-08-14T21:36:23.9236110Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:36:23.9236183Z     return super().__call__(*args, **kwargs)
2025-08-14T21:36:23.9236440Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T21:36:23.9236518Z     self_attn_outputs = self.attention(
2025-08-14T21:36:23.9236773Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T21:36:23.9236852Z     self_outputs = self.self(
2025-08-14T21:36:23.9237106Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 541, in forward
2025-08-14T21:36:23.9237175Z     attn_scores += diagonal_mask
2025-08-14T21:36:23.9237178Z 
2025-08-14T21:36:23.9237279Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:23.9237601Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T21:36:23.9237676Z     layer_outputs = layer_module(
2025-08-14T21:36:23.9237907Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:36:23.9237981Z     return super().__call__(*args, **kwargs)
2025-08-14T21:36:23.9238247Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T21:36:23.9238320Z     self_attn_outputs = self.attention(
2025-08-14T21:36:23.9238580Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T21:36:23.9238652Z     self_outputs = self.self(
2025-08-14T21:36:23.9238909Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 579, in forward
2025-08-14T21:36:23.9238990Z     attn_probs = nn.functional.softmax(
2025-08-14T21:36:23.9238993Z 
2025-08-14T21:36:23.9239065Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9239135Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9239239Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:23.9239567Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T21:36:23.9239665Z     layer_outputs = layer_module(
2025-08-14T21:36:23.9239879Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:36:23.9239950Z     return super().__call__(*args, **kwargs)
2025-08-14T21:36:23.9240216Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T21:36:23.9240284Z     self_attn_outputs = self.attention(
2025-08-14T21:36:23.9240543Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T21:36:23.9240618Z     self_outputs = self.self(
2025-08-14T21:36:23.9240882Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T21:36:23.9240992Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T21:36:23.9241321Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 863, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T21:36:23.9241479Z     padded_value = nn.functional.pad(value, (0, 0, window_overlap, window_overlap), value=-1)
2025-08-14T21:36:23.9241666Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-14T21:36:23.9241755Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-14T21:36:23.9241758Z 
2025-08-14T21:36:23.9241859Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:23.9242186Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T21:36:23.9242251Z     layer_outputs = layer_module(
2025-08-14T21:36:23.9242466Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:36:23.9242541Z     return super().__call__(*args, **kwargs)
2025-08-14T21:36:23.9242800Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T21:36:23.9242877Z     self_attn_outputs = self.attention(
2025-08-14T21:36:23.9243139Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T21:36:23.9243210Z     self_outputs = self.self(
2025-08-14T21:36:23.9243469Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T21:36:23.9243606Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T21:36:23.9243935Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 876, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T21:36:23.9244062Z     chunked_attn_probs = self._pad_and_diagonalize(chunked_attn_probs)
2025-08-14T21:36:23.9244360Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 699, in _pad_and_diagonalize
2025-08-14T21:36:23.9244442Z     chunked_hidden_states = nn.functional.pad(
2025-08-14T21:36:23.9244617Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-14T21:36:23.9244715Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-14T21:36:23.9244719Z 
2025-08-14T21:36:23.9244813Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:23.9245146Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T21:36:23.9245214Z     layer_outputs = layer_module(
2025-08-14T21:36:23.9245418Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:36:23.9245537Z     return super().__call__(*args, **kwargs)
2025-08-14T21:36:23.9245797Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T21:36:23.9245866Z     self_attn_outputs = self.attention(
2025-08-14T21:36:23.9246136Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T21:36:23.9246203Z     self_outputs = self.self(
2025-08-14T21:36:23.9246465Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T21:36:23.9246575Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T21:36:23.9246896Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 878, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T21:36:23.9247051Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-14T21:36:23.9247054Z 
2025-08-14T21:36:23.9247148Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:23.9247479Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T21:36:23.9247544Z     layer_outputs = layer_module(
2025-08-14T21:36:23.9247750Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:36:23.9247831Z     return super().__call__(*args, **kwargs)
2025-08-14T21:36:23.9248095Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T21:36:23.9248174Z     self_attn_outputs = self.attention(
2025-08-14T21:36:23.9248438Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T21:36:23.9248501Z     self_outputs = self.self(
2025-08-14T21:36:23.9248765Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T21:36:23.9248868Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T21:36:23.9249189Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 878, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T21:36:23.9249337Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-14T21:36:23.9249340Z 
2025-08-14T21:36:23.9249462Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:23.9249792Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T21:36:23.9249861Z     layer_outputs = layer_module(
2025-08-14T21:36:23.9250066Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:36:23.9250144Z     return super().__call__(*args, **kwargs)
2025-08-14T21:36:23.9250405Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T21:36:23.9250480Z     self_attn_outputs = self.attention(
2025-08-14T21:36:23.9250740Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T21:36:23.9250803Z     self_outputs = self.self(
2025-08-14T21:36:23.9251069Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 618, in forward
2025-08-14T21:36:23.9251238Z     attn_output = attn_output.transpose(0, 1).reshape(seq_len, batch_size, embed_dim).contiguous()
2025-08-14T21:36:23.9251272Z 
2025-08-14T21:36:23.9251354Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9251428Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9251498Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9251576Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9251647Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9251716Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9251817Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:23.9252143Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T21:36:23.9252216Z     layer_outputs = layer_module(
2025-08-14T21:36:23.9252426Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:36:23.9252496Z     return super().__call__(*args, **kwargs)
2025-08-14T21:36:23.9252765Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T21:36:23.9252833Z     self_attn_outputs = self.attention(
2025-08-14T21:36:23.9253095Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T21:36:23.9253168Z     self_outputs = self.self(
2025-08-14T21:36:23.9253425Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward
2025-08-14T21:36:23.9253510Z     query_vectors = self.query(hidden_states)
2025-08-14T21:36:23.9253514Z 
2025-08-14T21:36:23.9253584Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9253659Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9253762Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:23.9254087Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T21:36:23.9254164Z     layer_outputs = layer_module(
2025-08-14T21:36:23.9254366Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:36:23.9254436Z     return super().__call__(*args, **kwargs)
2025-08-14T21:36:23.9254703Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T21:36:23.9254772Z     self_attn_outputs = self.attention(
2025-08-14T21:36:23.9255029Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T21:36:23.9255128Z     self_outputs = self.self(
2025-08-14T21:36:23.9255381Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-14T21:36:23.9255483Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-14T21:36:23.9255797Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 796, in _sliding_chunks_query_key_matmul
2025-08-14T21:36:23.9255965Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-14T21:36:23.9255968Z 
2025-08-14T21:36:23.9256048Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9256116Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9256217Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:23.9256540Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T21:36:23.9256604Z     layer_outputs = layer_module(
2025-08-14T21:36:23.9256813Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:36:23.9256912Z     return super().__call__(*args, **kwargs)
2025-08-14T21:36:23.9257170Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T21:36:23.9257247Z     self_attn_outputs = self.attention(
2025-08-14T21:36:23.9257503Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T21:36:23.9257577Z     self_outputs = self.self(
2025-08-14T21:36:23.9257834Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-14T21:36:23.9257929Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-14T21:36:23.9258253Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 796, in _sliding_chunks_query_key_matmul
2025-08-14T21:36:23.9258426Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-14T21:36:23.9258430Z 
2025-08-14T21:36:23.9258512Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9258582Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9258676Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:23.9259016Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T21:36:23.9259082Z     layer_outputs = layer_module(
2025-08-14T21:36:23.9259285Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:36:23.9259369Z     return super().__call__(*args, **kwargs)
2025-08-14T21:36:23.9259627Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T21:36:23.9259706Z     self_attn_outputs = self.attention(
2025-08-14T21:36:23.9259964Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T21:36:23.9260029Z     self_outputs = self.self(
2025-08-14T21:36:23.9260298Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 541, in forward
2025-08-14T21:36:23.9260363Z     attn_scores += diagonal_mask
2025-08-14T21:36:23.9260366Z 
2025-08-14T21:36:23.9260470Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:23.9260829Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T21:36:23.9260897Z     layer_outputs = layer_module(
2025-08-14T21:36:23.9261110Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:36:23.9261186Z     return super().__call__(*args, **kwargs)
2025-08-14T21:36:23.9261453Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T21:36:23.9261523Z     self_attn_outputs = self.attention(
2025-08-14T21:36:23.9261781Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T21:36:23.9261856Z     self_outputs = self.self(
2025-08-14T21:36:23.9262112Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 579, in forward
2025-08-14T21:36:23.9262185Z     attn_probs = nn.functional.softmax(
2025-08-14T21:36:23.9262188Z 
2025-08-14T21:36:23.9262271Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9262342Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9262441Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:23.9262790Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T21:36:23.9262854Z     layer_outputs = layer_module(
2025-08-14T21:36:23.9263065Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:36:23.9263137Z     return super().__call__(*args, **kwargs)
2025-08-14T21:36:23.9263399Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T21:36:23.9263474Z     self_attn_outputs = self.attention(
2025-08-14T21:36:23.9263737Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T21:36:23.9263808Z     self_outputs = self.self(
2025-08-14T21:36:23.9264065Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T21:36:23.9264174Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T21:36:23.9264511Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 863, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T21:36:23.9264671Z     padded_value = nn.functional.pad(value, (0, 0, window_overlap, window_overlap), value=-1)
2025-08-14T21:36:23.9264857Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-14T21:36:23.9264946Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-14T21:36:23.9264949Z 
2025-08-14T21:36:23.9265042Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:23.9265385Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T21:36:23.9265453Z     layer_outputs = layer_module(
2025-08-14T21:36:23.9265669Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:36:23.9265741Z     return super().__call__(*args, **kwargs)
2025-08-14T21:36:23.9266001Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T21:36:23.9266077Z     self_attn_outputs = self.attention(
2025-08-14T21:36:23.9266340Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T21:36:23.9266405Z     self_outputs = self.self(
2025-08-14T21:36:23.9266712Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T21:36:23.9266822Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T21:36:23.9267155Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 876, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T21:36:23.9267278Z     chunked_attn_probs = self._pad_and_diagonalize(chunked_attn_probs)
2025-08-14T21:36:23.9267571Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 699, in _pad_and_diagonalize
2025-08-14T21:36:23.9267661Z     chunked_hidden_states = nn.functional.pad(
2025-08-14T21:36:23.9267837Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-14T21:36:23.9267934Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-14T21:36:23.9267938Z 
2025-08-14T21:36:23.9268032Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:23.9268362Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T21:36:23.9268467Z     layer_outputs = layer_module(
2025-08-14T21:36:23.9268669Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:36:23.9268748Z     return super().__call__(*args, **kwargs)
2025-08-14T21:36:23.9269000Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T21:36:23.9269069Z     self_attn_outputs = self.attention(
2025-08-14T21:36:23.9269334Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T21:36:23.9269398Z     self_outputs = self.self(
2025-08-14T21:36:23.9269693Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T21:36:23.9269812Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T21:36:23.9270142Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 878, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T21:36:23.9270289Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-14T21:36:23.9270293Z 
2025-08-14T21:36:23.9270399Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:23.9270715Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T21:36:23.9270786Z     layer_outputs = layer_module(
2025-08-14T21:36:23.9270986Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:36:23.9271071Z     return super().__call__(*args, **kwargs)
2025-08-14T21:36:23.9271333Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T21:36:23.9271405Z     self_attn_outputs = self.attention(
2025-08-14T21:36:23.9271678Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T21:36:23.9271745Z     self_outputs = self.self(
2025-08-14T21:36:23.9272014Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T21:36:23.9272121Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T21:36:23.9272450Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 878, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T21:36:23.9272651Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-14T21:36:23.9272654Z 
2025-08-14T21:36:23.9272753Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:23.9273089Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T21:36:23.9273156Z     layer_outputs = layer_module(
2025-08-14T21:36:23.9273362Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:36:23.9273443Z     return super().__call__(*args, **kwargs)
2025-08-14T21:36:23.9273708Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T21:36:23.9273778Z     self_attn_outputs = self.attention(
2025-08-14T21:36:23.9274052Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T21:36:23.9274118Z     self_outputs = self.self(
2025-08-14T21:36:23.9274388Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 618, in forward
2025-08-14T21:36:23.9274606Z     attn_output = attn_output.transpose(0, 1).reshape(seq_len, batch_size, embed_dim).contiguous()
2025-08-14T21:36:23.9274609Z 
2025-08-14T21:36:23.9274686Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9274773Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9274847Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9274930Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9275003Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9275076Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9275183Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:23.9275520Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T21:36:23.9275587Z     layer_outputs = layer_module(
2025-08-14T21:36:23.9275807Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:36:23.9275882Z     return super().__call__(*args, **kwargs)
2025-08-14T21:36:23.9276153Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T21:36:23.9276227Z     self_attn_outputs = self.attention(
2025-08-14T21:36:23.9276492Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T21:36:23.9276566Z     self_outputs = self.self(
2025-08-14T21:36:23.9276831Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward
2025-08-14T21:36:23.9276916Z     query_vectors = self.query(hidden_states)
2025-08-14T21:36:23.9276928Z 
2025-08-14T21:36:23.9277001Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9277078Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9277180Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:23.9277511Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T21:36:23.9277578Z     layer_outputs = layer_module(
2025-08-14T21:36:23.9277799Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:36:23.9277872Z     return super().__call__(*args, **kwargs)
2025-08-14T21:36:23.9278145Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T21:36:23.9278216Z     self_attn_outputs = self.attention(
2025-08-14T21:36:23.9278511Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T21:36:23.9278588Z     self_outputs = self.self(
2025-08-14T21:36:23.9278851Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-14T21:36:23.9278948Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-14T21:36:23.9279276Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 796, in _sliding_chunks_query_key_matmul
2025-08-14T21:36:23.9279449Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-14T21:36:23.9279452Z 
2025-08-14T21:36:23.9279533Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9279605Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9279700Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:23.9280039Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T21:36:23.9280138Z     layer_outputs = layer_module(
2025-08-14T21:36:23.9280354Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:36:23.9280428Z     return super().__call__(*args, **kwargs)
2025-08-14T21:36:23.9280694Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T21:36:23.9280772Z     self_attn_outputs = self.attention(
2025-08-14T21:36:23.9281036Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T21:36:23.9281101Z     self_outputs = self.self(
2025-08-14T21:36:23.9281376Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-14T21:36:23.9281473Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-14T21:36:23.9281802Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 796, in _sliding_chunks_query_key_matmul
2025-08-14T21:36:23.9281975Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-14T21:36:23.9281978Z 
2025-08-14T21:36:23.9282051Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9282131Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9282226Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:23.9282563Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T21:36:23.9282630Z     layer_outputs = layer_module(
2025-08-14T21:36:23.9282842Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:36:23.9282925Z     return super().__call__(*args, **kwargs)
2025-08-14T21:36:23.9283193Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T21:36:23.9283271Z     self_attn_outputs = self.attention(
2025-08-14T21:36:23.9283543Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T21:36:23.9283606Z     self_outputs = self.self(
2025-08-14T21:36:23.9283870Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 541, in forward
2025-08-14T21:36:23.9283938Z     attn_scores += diagonal_mask
2025-08-14T21:36:23.9283941Z 
2025-08-14T21:36:23.9284033Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:23.9284388Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T21:36:23.9284457Z     layer_outputs = layer_module(
2025-08-14T21:36:23.9284667Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:36:23.9284740Z     return super().__call__(*args, **kwargs)
2025-08-14T21:36:23.9284994Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T21:36:23.9285068Z     self_attn_outputs = self.attention(
2025-08-14T21:36:23.9285328Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T21:36:23.9285395Z     self_outputs = self.self(
2025-08-14T21:36:23.9285650Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 579, in forward
2025-08-14T21:36:23.9285723Z     attn_probs = nn.functional.softmax(
2025-08-14T21:36:23.9285726Z 
2025-08-14T21:36:23.9285806Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9285907Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9286000Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:23.9286324Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T21:36:23.9286388Z     layer_outputs = layer_module(
2025-08-14T21:36:23.9286598Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:36:23.9286668Z     return super().__call__(*args, **kwargs)
2025-08-14T21:36:23.9286926Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T21:36:23.9287004Z     self_attn_outputs = self.attention(
2025-08-14T21:36:23.9287263Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T21:36:23.9287330Z     self_outputs = self.self(
2025-08-14T21:36:23.9287592Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T21:36:23.9287699Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T21:36:23.9288027Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 863, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T21:36:23.9288185Z     padded_value = nn.functional.pad(value, (0, 0, window_overlap, window_overlap), value=-1)
2025-08-14T21:36:23.9288360Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-14T21:36:23.9288460Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-14T21:36:23.9288463Z 
2025-08-14T21:36:23.9288556Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:23.9288885Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T21:36:23.9288950Z     layer_outputs = layer_module(
2025-08-14T21:36:23.9289152Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:36:23.9289230Z     return super().__call__(*args, **kwargs)
2025-08-14T21:36:23.9289488Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T21:36:23.9289563Z     self_attn_outputs = self.attention(
2025-08-14T21:36:23.9289853Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T21:36:23.9289921Z     self_outputs = self.self(
2025-08-14T21:36:23.9290182Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T21:36:23.9290290Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T21:36:23.9290619Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 876, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T21:36:23.9290742Z     chunked_attn_probs = self._pad_and_diagonalize(chunked_attn_probs)
2025-08-14T21:36:23.9291034Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 699, in _pad_and_diagonalize
2025-08-14T21:36:23.9291126Z     chunked_hidden_states = nn.functional.pad(
2025-08-14T21:36:23.9291300Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-14T21:36:23.9291392Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-14T21:36:23.9291403Z 
2025-08-14T21:36:23.9291495Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:23.9291842Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T21:36:23.9291918Z     layer_outputs = layer_module(
2025-08-14T21:36:23.9292123Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:36:23.9292195Z     return super().__call__(*args, **kwargs)
2025-08-14T21:36:23.9292461Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T21:36:23.9292529Z     self_attn_outputs = self.attention(
2025-08-14T21:36:23.9292800Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T21:36:23.9292866Z     self_outputs = self.self(
2025-08-14T21:36:23.9293123Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T21:36:23.9293240Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T21:36:23.9293564Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 878, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T21:36:23.9293711Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-14T21:36:23.9293714Z 
2025-08-14T21:36:23.9293810Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:23.9294132Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T21:36:23.9294207Z     layer_outputs = layer_module(
2025-08-14T21:36:23.9294409Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:36:23.9294484Z     return super().__call__(*args, **kwargs)
2025-08-14T21:36:23.9294745Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T21:36:23.9294813Z     self_attn_outputs = self.attention(
2025-08-14T21:36:23.9295077Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T21:36:23.9295142Z     self_outputs = self.self(
2025-08-14T21:36:23.9295396Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T21:36:23.9295508Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T21:36:23.9295930Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 878, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T21:36:23.9296079Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-14T21:36:23.9296085Z 
2025-08-14T21:36:23.9296179Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:23.9296501Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T21:36:23.9296579Z     layer_outputs = layer_module(
2025-08-14T21:36:23.9296783Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:36:23.9296863Z     return super().__call__(*args, **kwargs)
2025-08-14T21:36:23.9297118Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T21:36:23.9297191Z     self_attn_outputs = self.attention(
2025-08-14T21:36:23.9297457Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T21:36:23.9297550Z     self_outputs = self.self(
2025-08-14T21:36:23.9297808Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 618, in forward
2025-08-14T21:36:23.9297993Z     attn_output = attn_output.transpose(0, 1).reshape(seq_len, batch_size, embed_dim).contiguous()
2025-08-14T21:36:23.9297996Z 
2025-08-14T21:36:23.9298073Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9298158Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9298230Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9298301Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9298381Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9298450Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9298544Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:23.9298881Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T21:36:23.9298950Z     layer_outputs = layer_module(
2025-08-14T21:36:23.9299157Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:36:23.9299230Z     return super().__call__(*args, **kwargs)
2025-08-14T21:36:23.9299488Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T21:36:23.9299565Z     self_attn_outputs = self.attention(
2025-08-14T21:36:23.9299821Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T21:36:23.9299890Z     self_outputs = self.self(
2025-08-14T21:36:23.9300147Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward
2025-08-14T21:36:23.9300223Z     query_vectors = self.query(hidden_states)
2025-08-14T21:36:23.9300229Z 
2025-08-14T21:36:23.9300305Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9300376Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9300467Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:23.9300796Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T21:36:23.9300860Z     layer_outputs = layer_module(
2025-08-14T21:36:23.9301064Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:36:23.9301134Z     return super().__call__(*args, **kwargs)
2025-08-14T21:36:23.9301422Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T21:36:23.9301501Z     self_attn_outputs = self.attention(
2025-08-14T21:36:23.9301756Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T21:36:23.9301830Z     self_outputs = self.self(
2025-08-14T21:36:23.9302084Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-14T21:36:23.9302179Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-14T21:36:23.9302502Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 796, in _sliding_chunks_query_key_matmul
2025-08-14T21:36:23.9302673Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-14T21:36:23.9302676Z 
2025-08-14T21:36:23.9302757Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9302827Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9302919Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:23.9303278Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T21:36:23.9303344Z     layer_outputs = layer_module(
2025-08-14T21:36:23.9303548Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:36:23.9303627Z     return super().__call__(*args, **kwargs)
2025-08-14T21:36:23.9303886Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T21:36:23.9303964Z     self_attn_outputs = self.attention(
2025-08-14T21:36:23.9304223Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T21:36:23.9304287Z     self_outputs = self.self(
2025-08-14T21:36:23.9304550Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-14T21:36:23.9304648Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-14T21:36:23.9304966Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 796, in _sliding_chunks_query_key_matmul
2025-08-14T21:36:23.9305142Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-14T21:36:23.9305145Z 
2025-08-14T21:36:23.9305217Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9305298Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9305391Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:23.9305718Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T21:36:23.9305791Z     layer_outputs = layer_module(
2025-08-14T21:36:23.9305996Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:36:23.9306081Z     return super().__call__(*args, **kwargs)
2025-08-14T21:36:23.9306340Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T21:36:23.9306411Z     self_attn_outputs = self.attention(
2025-08-14T21:36:23.9306677Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T21:36:23.9306739Z     self_outputs = self.self(
2025-08-14T21:36:23.9307003Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 541, in forward
2025-08-14T21:36:23.9307099Z     attn_scores += diagonal_mask
2025-08-14T21:36:23.9307102Z 
2025-08-14T21:36:23.9307196Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:23.9307530Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T21:36:23.9307597Z     layer_outputs = layer_module(
2025-08-14T21:36:23.9307802Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:36:23.9307883Z     return super().__call__(*args, **kwargs)
2025-08-14T21:36:23.9308143Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T21:36:23.9308221Z     self_attn_outputs = self.attention(
2025-08-14T21:36:23.9308480Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T21:36:23.9308546Z     self_outputs = self.self(
2025-08-14T21:36:23.9308813Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 579, in forward
2025-08-14T21:36:23.9308922Z     attn_probs = nn.functional.softmax(
2025-08-14T21:36:23.9308925Z 
2025-08-14T21:36:23.9309004Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9309075Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9309169Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:23.9309508Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T21:36:23.9309573Z     layer_outputs = layer_module(
2025-08-14T21:36:23.9309776Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:36:23.9309858Z     return super().__call__(*args, **kwargs)
2025-08-14T21:36:23.9310119Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T21:36:23.9310194Z     self_attn_outputs = self.attention(
2025-08-14T21:36:23.9310457Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T21:36:23.9310521Z     self_outputs = self.self(
2025-08-14T21:36:23.9310782Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T21:36:23.9310892Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T21:36:23.9311222Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 863, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T21:36:23.9311382Z     padded_value = nn.functional.pad(value, (0, 0, window_overlap, window_overlap), value=-1)
2025-08-14T21:36:23.9311562Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-14T21:36:23.9311659Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-14T21:36:23.9311664Z 
2025-08-14T21:36:23.9311758Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:23.9312093Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T21:36:23.9312157Z     layer_outputs = layer_module(
2025-08-14T21:36:23.9312363Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:36:23.9312444Z     return super().__call__(*args, **kwargs)
2025-08-14T21:36:23.9312708Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T21:36:23.9312776Z     self_attn_outputs = self.attention(
2025-08-14T21:36:23.9313105Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T21:36:23.9313174Z     self_outputs = self.self(
2025-08-14T21:36:23.9313436Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T21:36:23.9313541Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T21:36:23.9313855Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 876, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T21:36:23.9313985Z     chunked_attn_probs = self._pad_and_diagonalize(chunked_attn_probs)
2025-08-14T21:36:23.9314272Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 699, in _pad_and_diagonalize
2025-08-14T21:36:23.9314364Z     chunked_hidden_states = nn.functional.pad(
2025-08-14T21:36:23.9314537Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-14T21:36:23.9314625Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-14T21:36:23.9314654Z 
2025-08-14T21:36:23.9314756Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:23.9315076Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T21:36:23.9315141Z     layer_outputs = layer_module(
2025-08-14T21:36:23.9315348Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:36:23.9315420Z     return super().__call__(*args, **kwargs)
2025-08-14T21:36:23.9315676Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T21:36:23.9315745Z     self_attn_outputs = self.attention(
2025-08-14T21:36:23.9315997Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T21:36:23.9316072Z     self_outputs = self.self(
2025-08-14T21:36:23.9316320Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T21:36:23.9316433Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T21:36:23.9316748Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 878, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T21:36:23.9316887Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-14T21:36:23.9316890Z 
2025-08-14T21:36:23.9316991Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:23.9317311Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T21:36:23.9317383Z     layer_outputs = layer_module(
2025-08-14T21:36:23.9317586Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:36:23.9317656Z     return super().__call__(*args, **kwargs)
2025-08-14T21:36:23.9317920Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T21:36:23.9317987Z     self_attn_outputs = self.attention(
2025-08-14T21:36:23.9318240Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T21:36:23.9318313Z     self_outputs = self.self(
2025-08-14T21:36:23.9318566Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T21:36:23.9318708Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T21:36:23.9319027Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 878, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T21:36:23.9319165Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-14T21:36:23.9319176Z 
2025-08-14T21:36:23.9319269Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:23.9319590Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T21:36:23.9319662Z     layer_outputs = layer_module(
2025-08-14T21:36:23.9319864Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:36:23.9319935Z     return super().__call__(*args, **kwargs)
2025-08-14T21:36:23.9320199Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T21:36:23.9320267Z     self_attn_outputs = self.attention(
2025-08-14T21:36:23.9320562Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T21:36:23.9320626Z     self_outputs = self.self(
2025-08-14T21:36:23.9320885Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 618, in forward
2025-08-14T21:36:23.9321064Z     attn_output = attn_output.transpose(0, 1).reshape(seq_len, batch_size, embed_dim).contiguous()
2025-08-14T21:36:23.9321067Z 
2025-08-14T21:36:23.9321141Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9321221Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9321292Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9321362Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9321441Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9321510Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9321603Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:23.9321941Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T21:36:23.9322006Z     layer_outputs = layer_module(
2025-08-14T21:36:23.9322209Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:36:23.9322290Z     return super().__call__(*args, **kwargs)
2025-08-14T21:36:23.9322548Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T21:36:23.9322624Z     self_attn_outputs = self.attention(
2025-08-14T21:36:23.9322884Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T21:36:23.9322948Z     self_outputs = self.self(
2025-08-14T21:36:23.9323211Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward
2025-08-14T21:36:23.9323291Z     query_vectors = self.query(hidden_states)
2025-08-14T21:36:23.9323294Z 
2025-08-14T21:36:23.9323372Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9323444Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9323537Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:23.9323868Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T21:36:23.9323934Z     layer_outputs = layer_module(
2025-08-14T21:36:23.9324137Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:36:23.9324245Z     return super().__call__(*args, **kwargs)
2025-08-14T21:36:23.9324505Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T21:36:23.9324584Z     self_attn_outputs = self.attention(
2025-08-14T21:36:23.9324839Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T21:36:23.9324902Z     self_outputs = self.self(
2025-08-14T21:36:23.9325164Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-14T21:36:23.9325259Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-14T21:36:23.9325578Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 796, in _sliding_chunks_query_key_matmul
2025-08-14T21:36:23.9325753Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-14T21:36:23.9325756Z 
2025-08-14T21:36:23.9325825Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9325938Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9326029Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:23.9326365Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T21:36:23.9326440Z     layer_outputs = layer_module(
2025-08-14T21:36:23.9326651Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:36:23.9326732Z     return super().__call__(*args, **kwargs)
2025-08-14T21:36:23.9327000Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T21:36:23.9327070Z     self_attn_outputs = self.attention(
2025-08-14T21:36:23.9327347Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T21:36:23.9327414Z     self_outputs = self.self(
2025-08-14T21:36:23.9327681Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-14T21:36:23.9327776Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-14T21:36:23.9328096Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 796, in _sliding_chunks_query_key_matmul
2025-08-14T21:36:23.9328274Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-14T21:36:23.9328278Z 
2025-08-14T21:36:23.9328348Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9328429Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9328524Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:23.9328859Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T21:36:23.9328936Z     layer_outputs = layer_module(
2025-08-14T21:36:23.9329147Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:36:23.9329219Z     return super().__call__(*args, **kwargs)
2025-08-14T21:36:23.9329493Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T21:36:23.9329561Z     self_attn_outputs = self.attention(
2025-08-14T21:36:23.9329832Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T21:36:23.9329897Z     self_outputs = self.self(
2025-08-14T21:36:23.9330187Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 541, in forward
2025-08-14T21:36:23.9330265Z     attn_scores += diagonal_mask
2025-08-14T21:36:23.9330270Z 
2025-08-14T21:36:23.9330363Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:23.9330698Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T21:36:23.9330763Z     layer_outputs = layer_module(
2025-08-14T21:36:23.9330968Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:36:23.9331047Z     return super().__call__(*args, **kwargs)
2025-08-14T21:36:23.9331304Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T21:36:23.9331373Z     self_attn_outputs = self.attention(
2025-08-14T21:36:23.9331645Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T21:36:23.9331708Z     self_outputs = self.self(
2025-08-14T21:36:23.9332007Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 579, in forward
2025-08-14T21:36:23.9332077Z     attn_probs = nn.functional.softmax(
2025-08-14T21:36:23.9332080Z 
2025-08-14T21:36:23.9332149Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9332227Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9332321Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:23.9332649Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T21:36:23.9332714Z     layer_outputs = layer_module(
2025-08-14T21:36:23.9332918Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:36:23.9332996Z     return super().__call__(*args, **kwargs)
2025-08-14T21:36:23.9333255Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T21:36:23.9333326Z     self_attn_outputs = self.attention(
2025-08-14T21:36:23.9333592Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T21:36:23.9333655Z     self_outputs = self.self(
2025-08-14T21:36:23.9333914Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T21:36:23.9334019Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T21:36:23.9334350Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 863, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T21:36:23.9334518Z     padded_value = nn.functional.pad(value, (0, 0, window_overlap, window_overlap), value=-1)
2025-08-14T21:36:23.9334694Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-14T21:36:23.9334793Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-14T21:36:23.9334796Z 
2025-08-14T21:36:23.9334890Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:23.9335210Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T21:36:23.9335286Z     layer_outputs = layer_module(
2025-08-14T21:36:23.9335490Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:36:23.9335570Z     return super().__call__(*args, **kwargs)
2025-08-14T21:36:23.9335854Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T21:36:23.9335924Z     self_attn_outputs = self.attention(
2025-08-14T21:36:23.9336189Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T21:36:23.9336255Z     self_outputs = self.self(
2025-08-14T21:36:23.9336510Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T21:36:23.9336624Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T21:36:23.9336945Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 876, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T21:36:23.9337077Z     chunked_attn_probs = self._pad_and_diagonalize(chunked_attn_probs)
2025-08-14T21:36:23.9337366Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 699, in _pad_and_diagonalize
2025-08-14T21:36:23.9337448Z     chunked_hidden_states = nn.functional.pad(
2025-08-14T21:36:23.9337672Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-14T21:36:23.9337760Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-14T21:36:23.9337763Z 
2025-08-14T21:36:23.9337864Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:23.9338182Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T21:36:23.9338247Z     layer_outputs = layer_module(
2025-08-14T21:36:23.9338453Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:36:23.9338525Z     return super().__call__(*args, **kwargs)
2025-08-14T21:36:23.9338788Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T21:36:23.9338866Z     self_attn_outputs = self.attention(
2025-08-14T21:36:23.9339126Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T21:36:23.9339199Z     self_outputs = self.self(
2025-08-14T21:36:23.9339451Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T21:36:23.9339555Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T21:36:23.9339882Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 878, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T21:36:23.9340020Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-14T21:36:23.9340023Z 
2025-08-14T21:36:23.9340125Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:23.9340446Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T21:36:23.9340514Z     layer_outputs = layer_module(
2025-08-14T21:36:23.9340727Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:36:23.9340802Z     return super().__call__(*args, **kwargs)
2025-08-14T21:36:23.9341068Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T21:36:23.9341139Z     self_attn_outputs = self.attention(
2025-08-14T21:36:23.9341391Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T21:36:23.9341466Z     self_outputs = self.self(
2025-08-14T21:36:23.9341748Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T21:36:23.9341851Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T21:36:23.9342181Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 878, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T21:36:23.9342316Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-14T21:36:23.9342320Z 
2025-08-14T21:36:23.9342421Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:23.9342742Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T21:36:23.9342821Z     layer_outputs = layer_module(
2025-08-14T21:36:23.9343026Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:36:23.9343098Z     return super().__call__(*args, **kwargs)
2025-08-14T21:36:23.9343368Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T21:36:23.9343467Z     self_attn_outputs = self.attention(
2025-08-14T21:36:23.9343725Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T21:36:23.9343799Z     self_outputs = self.self(
2025-08-14T21:36:23.9344053Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 618, in forward
2025-08-14T21:36:23.9344233Z     attn_output = attn_output.transpose(0, 1).reshape(seq_len, batch_size, embed_dim).contiguous()
2025-08-14T21:36:23.9344236Z 
2025-08-14T21:36:23.9344308Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9344382Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9344464Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9344532Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9344601Z cudagraph partition due to non gpu ops
2025-08-14T21:36:23.9344679Z cudagraph partition due to non gpu ops
2025-08-14T21:36:38.2724417Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:38.2725180Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1716, in torch_dynamo_resume_in_forward_at_1703
2025-08-14T21:36:38.2725729Z     prediction_scores = self.lm_head(sequence_output)
2025-08-14T21:36:38.2726282Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1333, in forward
2025-08-14T21:36:38.2726674Z     x = self.dense(features)
2025-08-14T21:36:38.2726799Z 
2025-08-14T21:36:38.2726882Z cudagraph partition due to non gpu ops
2025-08-14T21:36:38.2727119Z cudagraph partition due to non gpu ops
2025-08-14T21:36:38.2727310Z cudagraph partition due to non gpu ops
2025-08-14T21:36:38.2727506Z cudagraph partition due to non gpu ops
2025-08-14T21:36:39.5955257Z 
2025-08-14T21:36:39.7726965Z running benchmark:   0% 0/50 [00:00<?, ?it/s]
2025-08-14T21:36:39.9331970Z running benchmark:   4% 2/50 [00:00<00:04, 11.26it/s]
2025-08-14T21:36:40.1026933Z running benchmark:   8% 4/50 [00:00<00:03, 11.94it/s]
2025-08-14T21:36:40.2616771Z running benchmark:  12% 6/50 [00:00<00:03, 11.87it/s]
2025-08-14T21:36:40.4221684Z running benchmark:  16% 8/50 [00:00<00:03, 12.14it/s]
2025-08-14T21:36:40.5820633Z running benchmark:  20% 10/50 [00:00<00:03, 12.26it/s]
2025-08-14T21:36:40.7421340Z running benchmark:  24% 12/50 [00:00<00:03, 12.34it/s]
2025-08-14T21:36:40.9015055Z running benchmark:  28% 14/50 [00:01<00:02, 12.39it/s]
2025-08-14T21:36:41.0602332Z running benchmark:  32% 16/50 [00:01<00:02, 12.44it/s]
2025-08-14T21:36:41.2276090Z running benchmark:  36% 18/50 [00:01<00:02, 12.49it/s]
2025-08-14T21:36:41.3909580Z running benchmark:  40% 20/50 [00:01<00:02, 12.32it/s]
2025-08-14T21:36:41.5543542Z running benchmark:  44% 22/50 [00:01<00:02, 12.30it/s]
2025-08-14T21:36:41.7169470Z running benchmark:  48% 24/50 [00:01<00:02, 12.28it/s]
2025-08-14T21:36:41.8779455Z running benchmark:  52% 26/50 [00:02<00:01, 12.28it/s]
2025-08-14T21:36:42.0383565Z running benchmark:  56% 28/50 [00:02<00:01, 12.33it/s]
2025-08-14T21:36:42.2058637Z running benchmark:  60% 30/50 [00:02<00:01, 12.37it/s]
2025-08-14T21:36:42.3672483Z running benchmark:  64% 32/50 [00:02<00:01, 12.23it/s]
2025-08-14T21:36:42.5274084Z running benchmark:  68% 34/50 [00:02<00:01, 12.28it/s]
2025-08-14T21:36:42.6878393Z running benchmark:  72% 36/50 [00:02<00:01, 12.35it/s]
2025-08-14T21:36:42.8478081Z running benchmark:  76% 38/50 [00:03<00:00, 12.38it/s]
2025-08-14T21:36:43.0077767Z running benchmark:  80% 40/50 [00:03<00:00, 12.42it/s]
2025-08-14T21:36:43.1663816Z running benchmark:  84% 42/50 [00:03<00:00, 12.44it/s]
2025-08-14T21:36:43.3312148Z running benchmark:  88% 44/50 [00:03<00:00, 12.49it/s]
2025-08-14T21:36:43.4916937Z running benchmark:  92% 46/50 [00:03<00:00, 12.38it/s]
2025-08-14T21:36:43.6520028Z running benchmark:  96% 48/50 [00:03<00:00, 12.41it/s]
2025-08-14T21:36:43.6520856Z running benchmark: 100% 50/50 [00:04<00:00, 12.43it/s]
2025-08-14T21:36:43.6521254Z running benchmark: 100% 50/50 [00:04<00:00, 12.32it/s]
2025-08-14T21:36:43.7427300Z 1.957x
2025-08-14T21:36:43.7427824Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T21:36:45.1132925Z + cat /var/lib/jenkins/workspace/test/test-reports/inductor_inference_hf_Longformer_inductor_amp_dynamic_cpu_smoketest.csv
2025-08-14T21:36:45.1150994Z 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
2025-08-14T21:36:45.1151809Z cpu,hf_Longformer,1,1.956809,26.953331,36.857781,0.908347,314.501939,346.235290,1737,5,4,1,0,0,4
2025-08-14T21:36:45.1152549Z + python benchmarks/dynamo/check_perf_csv.py -f /var/lib/jenkins/workspace/test/test-reports/inductor_inference_hf_Longformer_inductor_amp_dynamic_cpu_smoketest.csv -t 1.22015225 -s 0.99
2025-08-14T21:36:45.3624259Z hf_Longformer                      1.956809
2025-08-14T21:36:45.3974859Z + IFS=,
2025-08-14T21:36:45.3975074Z + read -r -a model_cfg
2025-08-14T21:36:45.3975284Z + local model_name=hf_Bert_large
2025-08-14T21:36:45.3975502Z + local data_type=amp
2025-08-14T21:36:45.3975703Z + local speedup_target=1.18572179
2025-08-14T21:36:45.3975914Z + local backend=inductor
2025-08-14T21:36:45.3976117Z + [[ default == \c\p\p ]]
2025-08-14T21:36:45.3976324Z + unset TORCHINDUCTOR_CPP_WRAPPER
2025-08-14T21:36:45.3976819Z + local output_name=/var/lib/jenkins/workspace/test/test-reports/inductor_inference_hf_Bert_large_inductor_amp_dynamic_cpu_smoketest.csv
2025-08-14T21:36:45.3977293Z + [[ dynamic == \d\y\n\a\m\i\c ]]
2025-08-14T21:36:45.3978253Z + taskset -c 0-93 python benchmarks/dynamo/torchbench.py --inference --performance --amp -dcpu -n50 --only hf_Bert_large --dynamic-shapes --dynamic-batch-only --freezing --timeout 9000 --inductor --output /var/lib/jenkins/workspace/test/test-reports/inductor_inference_hf_Bert_large_inductor_amp_dynamic_cpu_smoketest.csv
2025-08-14T21:36:47.4477048Z 
2025-08-14T21:36:51.2453983Z loading model: 0it [00:00, ?it/s]
2025-08-14T21:36:51.2454318Z loading model: 0it [00:03, ?it/s]
2025-08-14T21:36:51.2454571Z cpu  eval  hf_Bert_large                      
2025-08-14T21:37:02.5040529Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5040990Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5041282Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5041489Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5041678Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5041879Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5042343Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5042560Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5042745Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5042959Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5043154Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5043339Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5043527Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5043721Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5043907Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5044108Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5044303Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5044483Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5044677Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5044866Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5045054Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5045243Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5045435Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5045626Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5045933Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5046127Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5046320Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5046504Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5046701Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5046900Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5047080Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5047308Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:02.5047678Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T21:37:02.5047997Z     return mod(**inputs)
2025-08-14T21:37:02.5048370Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T21:37:02.5048742Z     outputs = self.bert(
2025-08-14T21:37:02.5049083Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T21:37:02.5049450Z     encoder_outputs = self.encoder(
2025-08-14T21:37:02.5049815Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T21:37:02.5050178Z     layer_outputs = layer_module(
2025-08-14T21:37:02.5050508Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:37:02.5050845Z     return super().__call__(*args, **kwargs)
2025-08-14T21:37:02.5051211Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T21:37:02.5051582Z     self_attention_outputs = self.attention(
2025-08-14T21:37:02.5051937Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T21:37:02.5052294Z     return func(*args, **kwargs)
2025-08-14T21:37:02.5052640Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T21:37:02.5053002Z     self_outputs = self.self(
2025-08-14T21:37:02.5053339Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T21:37:02.5053683Z     return func(*args, **kwargs)
2025-08-14T21:37:02.5054071Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-14T21:37:02.5054486Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T21:37:02.5054695Z 
2025-08-14T21:37:02.5054775Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5054978Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5055219Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5055420Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5055612Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5055800Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5055991Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5056184Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5056367Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5056563Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5056758Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5056943Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5057137Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5057358Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:02.5057700Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T21:37:02.5057998Z     return mod(**inputs)
2025-08-14T21:37:02.5058345Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T21:37:02.5058698Z     outputs = self.bert(
2025-08-14T21:37:02.5059796Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T21:37:02.5060160Z     encoder_outputs = self.encoder(
2025-08-14T21:37:02.5060518Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T21:37:02.5060878Z     layer_outputs = layer_module(
2025-08-14T21:37:02.5061198Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:37:02.5061544Z     return super().__call__(*args, **kwargs)
2025-08-14T21:37:02.5061906Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T21:37:02.5062264Z     self_attention_outputs = self.attention(
2025-08-14T21:37:02.5062632Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T21:37:02.5062983Z     return func(*args, **kwargs)
2025-08-14T21:37:02.5063328Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T21:37:02.5063673Z     self_outputs = self.self(
2025-08-14T21:37:02.5064010Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T21:37:02.5064355Z     return func(*args, **kwargs)
2025-08-14T21:37:02.5064697Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-14T21:37:02.5065095Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T21:37:02.5065280Z 
2025-08-14T21:37:02.5065355Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5065555Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5065747Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5065941Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5066140Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5066323Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5066516Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5066709Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5066906Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5067093Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5067288Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5067482Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5067667Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5067894Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:02.5068232Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T21:37:02.5068568Z     return mod(**inputs)
2025-08-14T21:37:02.5068912Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T21:37:02.5069266Z     outputs = self.bert(
2025-08-14T21:37:02.5069600Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T21:37:02.5070186Z     encoder_outputs = self.encoder(
2025-08-14T21:37:02.5070549Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T21:37:02.5070912Z     layer_outputs = layer_module(
2025-08-14T21:37:02.5071231Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:37:02.5071578Z     return super().__call__(*args, **kwargs)
2025-08-14T21:37:02.5071944Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T21:37:02.5072317Z     self_attention_outputs = self.attention(
2025-08-14T21:37:02.5072672Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T21:37:02.5073082Z     return func(*args, **kwargs)
2025-08-14T21:37:02.5073431Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T21:37:02.5073787Z     self_outputs = self.self(
2025-08-14T21:37:02.5074115Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T21:37:02.5074461Z     return func(*args, **kwargs)
2025-08-14T21:37:02.5074803Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-14T21:37:02.5075203Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T21:37:02.5075383Z 
2025-08-14T21:37:02.5075460Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5075663Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5075859Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5076056Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5076250Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5076443Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5076626Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5076820Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5077012Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5077195Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5077386Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5077580Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5077763Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5077983Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:02.5078331Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T21:37:02.5078637Z     return mod(**inputs)
2025-08-14T21:37:02.5078970Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T21:37:02.5079325Z     outputs = self.bert(
2025-08-14T21:37:02.5079659Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T21:37:02.5080011Z     encoder_outputs = self.encoder(
2025-08-14T21:37:02.5080368Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T21:37:02.5080727Z     layer_outputs = layer_module(
2025-08-14T21:37:02.5081058Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:37:02.5081388Z     return super().__call__(*args, **kwargs)
2025-08-14T21:37:02.5081837Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T21:37:02.5082206Z     self_attention_outputs = self.attention(
2025-08-14T21:37:02.5082559Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T21:37:02.5082905Z     return func(*args, **kwargs)
2025-08-14T21:37:02.5083249Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T21:37:02.5083604Z     self_outputs = self.self(
2025-08-14T21:37:02.5083935Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T21:37:02.5084283Z     return func(*args, **kwargs)
2025-08-14T21:37:02.5084629Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-14T21:37:02.5085043Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T21:37:02.5085217Z 
2025-08-14T21:37:02.5085293Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5085500Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5085734Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5085922Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5086118Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5086310Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5086492Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5086686Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5086877Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5087070Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5087254Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5087446Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5087634Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5087850Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:02.5088191Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T21:37:02.5088496Z     return mod(**inputs)
2025-08-14T21:37:02.5088828Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T21:37:02.5089177Z     outputs = self.bert(
2025-08-14T21:37:02.5089511Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T21:37:02.5089864Z     encoder_outputs = self.encoder(
2025-08-14T21:37:02.5090211Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T21:37:02.5090571Z     layer_outputs = layer_module(
2025-08-14T21:37:02.5090899Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:37:02.5091235Z     return super().__call__(*args, **kwargs)
2025-08-14T21:37:02.5091593Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T21:37:02.5091960Z     self_attention_outputs = self.attention(
2025-08-14T21:37:02.5092321Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T21:37:02.5092666Z     return func(*args, **kwargs)
2025-08-14T21:37:02.5093006Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T21:37:02.5093359Z     self_outputs = self.self(
2025-08-14T21:37:02.5093689Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T21:37:02.5094035Z     return func(*args, **kwargs)
2025-08-14T21:37:02.5094378Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-14T21:37:02.5094820Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T21:37:02.5094990Z 
2025-08-14T21:37:02.5095065Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5095269Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5095463Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5095647Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5095840Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5096032Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5096223Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5096410Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5096604Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5096794Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5096975Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5097170Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5097363Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5097578Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:02.5097920Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T21:37:02.5098266Z     return mod(**inputs)
2025-08-14T21:37:02.5098610Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T21:37:02.5098953Z     outputs = self.bert(
2025-08-14T21:37:02.5099289Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T21:37:02.5099651Z     encoder_outputs = self.encoder(
2025-08-14T21:37:02.5099991Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T21:37:02.5100344Z     layer_outputs = layer_module(
2025-08-14T21:37:02.5100670Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:37:02.5101007Z     return super().__call__(*args, **kwargs)
2025-08-14T21:37:02.5101356Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T21:37:02.5101721Z     self_attention_outputs = self.attention(
2025-08-14T21:37:02.5102077Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T21:37:02.5102414Z     return func(*args, **kwargs)
2025-08-14T21:37:02.5102756Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T21:37:02.5103103Z     self_outputs = self.self(
2025-08-14T21:37:02.5103437Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T21:37:02.5103772Z     return func(*args, **kwargs)
2025-08-14T21:37:02.5104120Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-14T21:37:02.5104524Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T21:37:02.5104695Z 
2025-08-14T21:37:02.5104774Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5104960Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5105154Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5105346Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5105534Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5105724Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5105916Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5106102Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5106297Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5106491Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5106674Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5106866Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5107096Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5107338Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:02.5107675Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T21:37:02.5107987Z     return mod(**inputs)
2025-08-14T21:37:02.5108332Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T21:37:02.5108684Z     outputs = self.bert(
2025-08-14T21:37:02.5109024Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T21:37:02.5109383Z     encoder_outputs = self.encoder(
2025-08-14T21:37:02.5109739Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T21:37:02.5110089Z     layer_outputs = layer_module(
2025-08-14T21:37:02.5110425Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:37:02.5110768Z     return super().__call__(*args, **kwargs)
2025-08-14T21:37:02.5111153Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T21:37:02.5111517Z     self_attention_outputs = self.attention(
2025-08-14T21:37:02.5111873Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T21:37:02.5112221Z     return func(*args, **kwargs)
2025-08-14T21:37:02.5112552Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T21:37:02.5112903Z     self_outputs = self.self(
2025-08-14T21:37:02.5113241Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T21:37:02.5113574Z     return func(*args, **kwargs)
2025-08-14T21:37:02.5113919Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-14T21:37:02.5114436Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T21:37:02.5114601Z 
2025-08-14T21:37:02.5114680Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5114866Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5115060Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5115250Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5115431Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5115623Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5115813Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5116005Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5116188Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5116380Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5116573Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5116758Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5116954Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5117173Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:02.5117504Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T21:37:02.5117809Z     return mod(**inputs)
2025-08-14T21:37:02.5118142Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T21:37:02.5118494Z     outputs = self.bert(
2025-08-14T21:37:02.5118815Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T21:37:02.5119174Z     encoder_outputs = self.encoder(
2025-08-14T21:37:02.5119526Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T21:37:02.5119903Z     layer_outputs = layer_module(
2025-08-14T21:37:02.5120229Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:37:02.5120569Z     return super().__call__(*args, **kwargs)
2025-08-14T21:37:02.5120926Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T21:37:02.5121279Z     self_attention_outputs = self.attention(
2025-08-14T21:37:02.5121633Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T21:37:02.5121976Z     return func(*args, **kwargs)
2025-08-14T21:37:02.5122314Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T21:37:02.5122654Z     self_outputs = self.self(
2025-08-14T21:37:02.5122991Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T21:37:02.5123336Z     return func(*args, **kwargs)
2025-08-14T21:37:02.5123668Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-14T21:37:02.5124117Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T21:37:02.5124291Z 
2025-08-14T21:37:02.5124362Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5124554Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5124739Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5124928Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5125122Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5125302Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5125495Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5125686Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5125868Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5126060Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5126249Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5126432Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5126626Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5126840Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:02.5127170Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T21:37:02.5127466Z     return mod(**inputs)
2025-08-14T21:37:02.5127804Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T21:37:02.5128152Z     outputs = self.bert(
2025-08-14T21:37:02.5128475Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T21:37:02.5128831Z     encoder_outputs = self.encoder(
2025-08-14T21:37:02.5129182Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T21:37:02.5129533Z     layer_outputs = layer_module(
2025-08-14T21:37:02.5129849Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:37:02.5130188Z     return super().__call__(*args, **kwargs)
2025-08-14T21:37:02.5130541Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T21:37:02.5130891Z     self_attention_outputs = self.attention(
2025-08-14T21:37:02.5131246Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T21:37:02.5131595Z     return func(*args, **kwargs)
2025-08-14T21:37:02.5131934Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T21:37:02.5132276Z     self_outputs = self.self(
2025-08-14T21:37:02.5132645Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T21:37:02.5132991Z     return func(*args, **kwargs)
2025-08-14T21:37:02.5133336Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-14T21:37:02.5133730Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T21:37:02.5133905Z 
2025-08-14T21:37:02.5133981Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5134182Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5134368Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5134564Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5134758Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5134942Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5135136Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5135325Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5135516Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5135703Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5135891Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5136121Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5136309Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5136530Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:02.5136868Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T21:37:02.5137165Z     return mod(**inputs)
2025-08-14T21:37:02.5137508Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T21:37:02.5137867Z     outputs = self.bert(
2025-08-14T21:37:02.5138202Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T21:37:02.5138555Z     encoder_outputs = self.encoder(
2025-08-14T21:37:02.5138910Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T21:37:02.5139266Z     layer_outputs = layer_module(
2025-08-14T21:37:02.5139585Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:37:02.5139923Z     return super().__call__(*args, **kwargs)
2025-08-14T21:37:02.5140276Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T21:37:02.5140633Z     self_attention_outputs = self.attention(
2025-08-14T21:37:02.5140983Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T21:37:02.5141330Z     return func(*args, **kwargs)
2025-08-14T21:37:02.5141671Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T21:37:02.5142018Z     self_outputs = self.self(
2025-08-14T21:37:02.5142354Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T21:37:02.5142704Z     return func(*args, **kwargs)
2025-08-14T21:37:02.5143047Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-14T21:37:02.5143445Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T21:37:02.5143622Z 
2025-08-14T21:37:02.5143693Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5143892Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5144090Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5144277Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5144471Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5144664Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5144850Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5145073Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5145270Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5145452Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5145648Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5145842Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5146023Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5146242Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:02.5146581Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T21:37:02.5146886Z     return mod(**inputs)
2025-08-14T21:37:02.5147216Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T21:37:02.5147569Z     outputs = self.bert(
2025-08-14T21:37:02.5147897Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T21:37:02.5148249Z     encoder_outputs = self.encoder(
2025-08-14T21:37:02.5148598Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T21:37:02.5148980Z     layer_outputs = layer_module(
2025-08-14T21:37:02.5149302Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:37:02.5149632Z     return super().__call__(*args, **kwargs)
2025-08-14T21:37:02.5149986Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T21:37:02.5150352Z     self_attention_outputs = self.attention(
2025-08-14T21:37:02.5150701Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T21:37:02.5151049Z     return func(*args, **kwargs)
2025-08-14T21:37:02.5151390Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T21:37:02.5151743Z     self_outputs = self.self(
2025-08-14T21:37:02.5152070Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T21:37:02.5152420Z     return func(*args, **kwargs)
2025-08-14T21:37:02.5152759Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-14T21:37:02.5153164Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T21:37:02.5153332Z 
2025-08-14T21:37:02.5153404Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5153602Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5153796Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5153980Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5154171Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5154365Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5154553Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5154746Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5154935Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5155117Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5155310Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5155498Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5155687Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5155897Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:02.5156232Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T21:37:02.5156534Z     return mod(**inputs)
2025-08-14T21:37:02.5156861Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T21:37:02.5157213Z     outputs = self.bert(
2025-08-14T21:37:02.5158062Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T21:37:02.5158423Z     encoder_outputs = self.encoder(
2025-08-14T21:37:02.5158767Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T21:37:02.5159130Z     layer_outputs = layer_module(
2025-08-14T21:37:02.5159456Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:37:02.5159789Z     return super().__call__(*args, **kwargs)
2025-08-14T21:37:02.5160149Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T21:37:02.5160516Z     self_attention_outputs = self.attention(
2025-08-14T21:37:02.5160878Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T21:37:02.5161222Z     return func(*args, **kwargs)
2025-08-14T21:37:02.5161567Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T21:37:02.5161922Z     self_outputs = self.self(
2025-08-14T21:37:02.5162295Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T21:37:02.5162641Z     return func(*args, **kwargs)
2025-08-14T21:37:02.5162981Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-14T21:37:02.5163384Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T21:37:02.5163551Z 
2025-08-14T21:37:02.5163624Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5163821Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5164016Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5164197Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5164390Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5164584Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5164780Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5164964Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5165160Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5165355Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5165538Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5165728Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5165919Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5166132Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:02.5166466Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T21:37:02.5166770Z     return mod(**inputs)
2025-08-14T21:37:02.5167106Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T21:37:02.5167444Z     outputs = self.bert(
2025-08-14T21:37:02.5167777Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T21:37:02.5168134Z     encoder_outputs = self.encoder(
2025-08-14T21:37:02.5168473Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T21:37:02.5168828Z     layer_outputs = layer_module(
2025-08-14T21:37:02.5169149Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:37:02.5169488Z     return super().__call__(*args, **kwargs)
2025-08-14T21:37:02.5169889Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T21:37:02.5170255Z     self_attention_outputs = self.attention(
2025-08-14T21:37:02.5170608Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T21:37:02.5171013Z     return func(*args, **kwargs)
2025-08-14T21:37:02.5171360Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T21:37:02.5171718Z     self_outputs = self.self(
2025-08-14T21:37:02.5172055Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T21:37:02.5172391Z     return func(*args, **kwargs)
2025-08-14T21:37:02.5172731Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-14T21:37:02.5173138Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T21:37:02.5173307Z 
2025-08-14T21:37:02.5173390Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5173580Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5173774Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5173965Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5174153Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5174349Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5174546Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5174803Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5175005Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5175206Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5175401Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5175602Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5175804Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5176033Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:02.5176371Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T21:37:02.5176679Z     return mod(**inputs)
2025-08-14T21:37:02.5177022Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T21:37:02.5177379Z     outputs = self.bert(
2025-08-14T21:37:02.5177727Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T21:37:02.5178101Z     encoder_outputs = self.encoder(
2025-08-14T21:37:02.5178462Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T21:37:02.5178813Z     layer_outputs = layer_module(
2025-08-14T21:37:02.5179146Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:37:02.5179492Z     return super().__call__(*args, **kwargs)
2025-08-14T21:37:02.5179849Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T21:37:02.5180220Z     self_attention_outputs = self.attention(
2025-08-14T21:37:02.5180588Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T21:37:02.5180942Z     return func(*args, **kwargs)
2025-08-14T21:37:02.5181283Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T21:37:02.5181645Z     self_outputs = self.self(
2025-08-14T21:37:02.5181988Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T21:37:02.5182333Z     return func(*args, **kwargs)
2025-08-14T21:37:02.5182681Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-14T21:37:02.5183094Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T21:37:02.5183267Z 
2025-08-14T21:37:02.5183350Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5183548Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5183749Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5183980Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5184167Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5184357Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5184552Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5184736Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5184926Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5185118Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5185309Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5185493Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5185682Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5185901Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:02.5186230Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T21:37:02.5186534Z     return mod(**inputs)
2025-08-14T21:37:02.5186874Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T21:37:02.5187229Z     outputs = self.bert(
2025-08-14T21:37:02.5187551Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T21:37:02.5187939Z     encoder_outputs = self.encoder(
2025-08-14T21:37:02.5188287Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T21:37:02.5188633Z     layer_outputs = layer_module(
2025-08-14T21:37:02.5188955Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:37:02.5189292Z     return super().__call__(*args, **kwargs)
2025-08-14T21:37:02.5189648Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T21:37:02.5189998Z     self_attention_outputs = self.attention(
2025-08-14T21:37:02.5190351Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T21:37:02.5190696Z     return func(*args, **kwargs)
2025-08-14T21:37:02.5191030Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T21:37:02.5191384Z     self_outputs = self.self(
2025-08-14T21:37:02.5191716Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T21:37:02.5192054Z     return func(*args, **kwargs)
2025-08-14T21:37:02.5192385Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-14T21:37:02.5192809Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T21:37:02.5193070Z 
2025-08-14T21:37:02.5193158Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5193349Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5193549Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5193746Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5193941Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5194129Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5194320Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5194513Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5194697Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5194889Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5195076Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5195255Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5195446Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5195665Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:02.5195992Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T21:37:02.5196291Z     return mod(**inputs)
2025-08-14T21:37:02.5196656Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T21:37:02.5197011Z     outputs = self.bert(
2025-08-14T21:37:02.5197333Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T21:37:02.5197687Z     encoder_outputs = self.encoder(
2025-08-14T21:37:02.5198036Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T21:37:02.5198386Z     layer_outputs = layer_module(
2025-08-14T21:37:02.5198702Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:37:02.5199037Z     return super().__call__(*args, **kwargs)
2025-08-14T21:37:02.5199392Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T21:37:02.5199751Z     self_attention_outputs = self.attention(
2025-08-14T21:37:02.5200107Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T21:37:02.5200492Z     return func(*args, **kwargs)
2025-08-14T21:37:02.5200834Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T21:37:02.5201184Z     self_outputs = self.self(
2025-08-14T21:37:02.5201526Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T21:37:02.5201878Z     return func(*args, **kwargs)
2025-08-14T21:37:02.5202215Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-14T21:37:02.5202624Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T21:37:02.5202801Z 
2025-08-14T21:37:02.5202880Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5203081Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5203274Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5203481Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5203760Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5203943Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5204136Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5204328Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5204511Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5204703Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5204951Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5205141Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5205324Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5205544Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:02.5205881Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T21:37:02.5206180Z     return mod(**inputs)
2025-08-14T21:37:02.5206514Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T21:37:02.5206868Z     outputs = self.bert(
2025-08-14T21:37:02.5207190Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T21:37:02.5207544Z     encoder_outputs = self.encoder(
2025-08-14T21:37:02.5207891Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T21:37:02.5208242Z     layer_outputs = layer_module(
2025-08-14T21:37:02.5208556Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:37:02.5208890Z     return super().__call__(*args, **kwargs)
2025-08-14T21:37:02.5209271Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T21:37:02.5209634Z     self_attention_outputs = self.attention(
2025-08-14T21:37:02.5209985Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T21:37:02.5210337Z     return func(*args, **kwargs)
2025-08-14T21:37:02.5210677Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T21:37:02.5211023Z     self_outputs = self.self(
2025-08-14T21:37:02.5211363Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T21:37:02.5211708Z     return func(*args, **kwargs)
2025-08-14T21:37:02.5212051Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-14T21:37:02.5212446Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T21:37:02.5212624Z 
2025-08-14T21:37:02.5212697Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5212894Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5213108Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5213298Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5213490Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5213674Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5213867Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5214058Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5214249Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5214436Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5214630Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5214820Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5215004Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5215223Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:02.5215571Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T21:37:02.5215865Z     return mod(**inputs)
2025-08-14T21:37:02.5216203Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T21:37:02.5216551Z     outputs = self.bert(
2025-08-14T21:37:02.5216876Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T21:37:02.5217224Z     encoder_outputs = self.encoder(
2025-08-14T21:37:02.5217569Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T21:37:02.5217920Z     layer_outputs = layer_module(
2025-08-14T21:37:02.5218237Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:37:02.5218570Z     return super().__call__(*args, **kwargs)
2025-08-14T21:37:02.5218925Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T21:37:02.5219284Z     self_attention_outputs = self.attention(
2025-08-14T21:37:02.5219633Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T21:37:02.5219974Z     return func(*args, **kwargs)
2025-08-14T21:37:02.5220312Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T21:37:02.5220661Z     self_outputs = self.self(
2025-08-14T21:37:02.5220985Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T21:37:02.5221324Z     return func(*args, **kwargs)
2025-08-14T21:37:02.5221659Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-14T21:37:02.5222096Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T21:37:02.5222271Z 
2025-08-14T21:37:02.5222343Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5222541Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5222728Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5222909Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5223097Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5223281Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5223461Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5223648Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5223834Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5224015Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5224205Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5224396Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5224578Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5224798Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:02.5225135Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T21:37:02.5225470Z     return mod(**inputs)
2025-08-14T21:37:02.5225805Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T21:37:02.5226162Z     outputs = self.bert(
2025-08-14T21:37:02.5226495Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T21:37:02.5226850Z     encoder_outputs = self.encoder(
2025-08-14T21:37:02.5227203Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T21:37:02.5227566Z     layer_outputs = layer_module(
2025-08-14T21:37:02.5227894Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:37:02.5228230Z     return super().__call__(*args, **kwargs)
2025-08-14T21:37:02.5228593Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T21:37:02.5228962Z     self_attention_outputs = self.attention(
2025-08-14T21:37:02.5229313Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T21:37:02.5229662Z     return func(*args, **kwargs)
2025-08-14T21:37:02.5230008Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T21:37:02.5230364Z     self_outputs = self.self(
2025-08-14T21:37:02.5230695Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T21:37:02.5231042Z     return func(*args, **kwargs)
2025-08-14T21:37:02.5231387Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-14T21:37:02.5231798Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T21:37:02.5231972Z 
2025-08-14T21:37:02.5232049Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5232249Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5232443Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5232630Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5232822Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5233014Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5233201Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5233396Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5233590Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5233781Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5233966Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5234155Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5234372Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5234580Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:02.5234914Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T21:37:02.5235220Z     return mod(**inputs)
2025-08-14T21:37:02.5235546Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T21:37:02.5235897Z     outputs = self.bert(
2025-08-14T21:37:02.5236229Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T21:37:02.5236586Z     encoder_outputs = self.encoder(
2025-08-14T21:37:02.5236924Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T21:37:02.5237278Z     layer_outputs = layer_module(
2025-08-14T21:37:02.5237604Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:37:02.5237937Z     return super().__call__(*args, **kwargs)
2025-08-14T21:37:02.5238292Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T21:37:02.5238681Z     self_attention_outputs = self.attention(
2025-08-14T21:37:02.5239039Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T21:37:02.5239374Z     return func(*args, **kwargs)
2025-08-14T21:37:02.5239715Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T21:37:02.5240068Z     self_outputs = self.self(
2025-08-14T21:37:02.5240404Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T21:37:02.5240739Z     return func(*args, **kwargs)
2025-08-14T21:37:02.5241084Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-14T21:37:02.5241488Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T21:37:02.5241660Z 
2025-08-14T21:37:02.5241733Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5241931Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5242126Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5242317Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5242499Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5242689Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5242880Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5243063Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5243254Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5243448Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5243628Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5243822Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5244012Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5244224Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:02.5244565Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T21:37:02.5244865Z     return mod(**inputs)
2025-08-14T21:37:02.5245197Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T21:37:02.5245541Z     outputs = self.bert(
2025-08-14T21:37:02.5245868Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T21:37:02.5246227Z     encoder_outputs = self.encoder(
2025-08-14T21:37:02.5246569Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T21:37:02.5246920Z     layer_outputs = layer_module(
2025-08-14T21:37:02.5247294Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:37:02.5247632Z     return super().__call__(*args, **kwargs)
2025-08-14T21:37:02.5247979Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T21:37:02.5248339Z     self_attention_outputs = self.attention(
2025-08-14T21:37:02.5248692Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T21:37:02.5249031Z     return func(*args, **kwargs)
2025-08-14T21:37:02.5249367Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T21:37:02.5249717Z     self_outputs = self.self(
2025-08-14T21:37:02.5250049Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T21:37:02.5250384Z     return func(*args, **kwargs)
2025-08-14T21:37:02.5250723Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-14T21:37:02.5251156Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T21:37:02.5251320Z 
2025-08-14T21:37:02.5251402Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5251592Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5251786Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5251976Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5252158Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5252345Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5252536Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5252718Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5252909Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5253103Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5253288Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5253481Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5253673Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5253897Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:02.5254222Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T21:37:02.5254520Z     return mod(**inputs)
2025-08-14T21:37:02.5254851Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T21:37:02.5255197Z     outputs = self.bert(
2025-08-14T21:37:02.5255530Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T21:37:02.5255887Z     encoder_outputs = self.encoder(
2025-08-14T21:37:02.5256237Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T21:37:02.5256583Z     layer_outputs = layer_module(
2025-08-14T21:37:02.5256904Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:37:02.5257247Z     return super().__call__(*args, **kwargs)
2025-08-14T21:37:02.5257588Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T21:37:02.5257945Z     self_attention_outputs = self.attention(
2025-08-14T21:37:02.5258295Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T21:37:02.5258636Z     return func(*args, **kwargs)
2025-08-14T21:37:02.5258967Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T21:37:02.5259313Z     self_outputs = self.self(
2025-08-14T21:37:02.5259680Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T21:37:02.5260019Z     return func(*args, **kwargs)
2025-08-14T21:37:02.5260359Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-14T21:37:02.5260764Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T21:37:02.5260929Z 
2025-08-14T21:37:02.5261011Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5261203Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5261394Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5261585Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5261769Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5261959Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5262149Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5262340Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5262526Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5262722Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5262909Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5263094Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5263318Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5263540Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:02.5263871Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T21:37:02.5264172Z     return mod(**inputs)
2025-08-14T21:37:02.5264509Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T21:37:02.5264860Z     outputs = self.bert(
2025-08-14T21:37:02.5265182Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T21:37:02.5265538Z     encoder_outputs = self.encoder(
2025-08-14T21:37:02.5265892Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T21:37:02.5266236Z     layer_outputs = layer_module(
2025-08-14T21:37:02.5266565Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:37:02.5266903Z     return super().__call__(*args, **kwargs)
2025-08-14T21:37:02.5267263Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T21:37:02.5267620Z     self_attention_outputs = self.attention(
2025-08-14T21:37:02.5267978Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T21:37:02.5268323Z     return func(*args, **kwargs)
2025-08-14T21:37:02.5268655Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T21:37:02.5269010Z     self_outputs = self.self(
2025-08-14T21:37:02.5269348Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T21:37:02.5269769Z     return func(*args, **kwargs)
2025-08-14T21:37:02.5270117Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-14T21:37:02.5270527Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T21:37:02.5270694Z 
2025-08-14T21:37:02.5270780Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5270978Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5271165Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5271365Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5271562Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5271747Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5271938Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5272198Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5272387Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5272576Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5272769Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5272956Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5273153Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5273371Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:02.5273713Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T21:37:02.5274010Z     return mod(**inputs)
2025-08-14T21:37:02.5274348Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T21:37:02.5274696Z     outputs = self.bert(
2025-08-14T21:37:02.5275020Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T21:37:02.5275381Z     encoder_outputs = self.encoder(
2025-08-14T21:37:02.5275730Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T21:37:02.5276122Z     layer_outputs = layer_module(
2025-08-14T21:37:02.5276433Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T21:37:02.5276767Z     return super().__call__(*args, **kwargs)
2025-08-14T21:37:02.5277119Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T21:37:02.5277474Z     self_attention_outputs = self.attention(
2025-08-14T21:37:02.5277827Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T21:37:02.5278170Z     return func(*args, **kwargs)
2025-08-14T21:37:02.5278511Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T21:37:02.5278855Z     self_outputs = self.self(
2025-08-14T21:37:02.5279188Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T21:37:02.5279534Z     return func(*args, **kwargs)
2025-08-14T21:37:02.5279865Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-14T21:37:02.5280268Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T21:37:02.5280444Z 
2025-08-14T21:37:02.5280516Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5280716Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5280901Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5281097Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5281293Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5281482Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5281674Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5281867Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5282053Z cudagraph partition due to non gpu ops
2025-08-14T21:37:02.5282251Z cudagraph partition due to non gpu ops
2025-08-14T21:37:12.8038909Z 
2025-08-14T21:37:12.9258559Z running benchmark:   0% 0/50 [00:00<?, ?it/s]
2025-08-14T21:37:13.0760176Z running benchmark:   2% 1/50 [00:00<00:06,  8.16it/s]
2025-08-14T21:37:13.1787485Z running benchmark:   4% 2/50 [00:00<00:06,  7.21it/s]
2025-08-14T21:37:13.2913532Z running benchmark:   6% 3/50 [00:00<00:05,  8.18it/s]
2025-08-14T21:37:13.3939008Z running benchmark:   8% 4/50 [00:00<00:05,  8.44it/s]
2025-08-14T21:37:13.5213234Z running benchmark:  10% 5/50 [00:00<00:05,  8.87it/s]
2025-08-14T21:37:13.6224776Z running benchmark:  12% 6/50 [00:00<00:05,  8.49it/s]
2025-08-14T21:37:13.7444126Z running benchmark:  14% 7/50 [00:00<00:04,  8.90it/s]
2025-08-14T21:37:13.9444929Z running benchmark:  16% 8/50 [00:00<00:04,  8.67it/s]
2025-08-14T21:37:14.0458396Z running benchmark:  20% 10/50 [00:01<00:04,  9.25it/s]
2025-08-14T21:37:14.1660037Z running benchmark:  22% 11/50 [00:01<00:04,  9.40it/s]
2025-08-14T21:37:14.2664658Z running benchmark:  24% 12/50 [00:01<00:04,  9.09it/s]
2025-08-14T21:37:14.3824078Z running benchmark:  26% 13/50 [00:01<00:03,  9.31it/s]
2025-08-14T21:37:14.6014183Z running benchmark:  28% 14/50 [00:01<00:03,  9.11it/s]
2025-08-14T21:37:14.7016043Z running benchmark:  32% 16/50 [00:01<00:03,  9.12it/s]
2025-08-14T21:37:14.8240203Z running benchmark:  34% 17/50 [00:01<00:03,  9.31it/s]
2025-08-14T21:37:14.9256814Z running benchmark:  36% 18/50 [00:02<00:03,  8.99it/s]
2025-08-14T21:37:15.0429825Z running benchmark:  38% 19/50 [00:02<00:03,  9.20it/s]
2025-08-14T21:37:15.1443962Z running benchmark:  40% 20/50 [00:02<00:03,  9.00it/s]
2025-08-14T21:37:15.2650062Z running benchmark:  42% 21/50 [00:02<00:03,  9.23it/s]
2025-08-14T21:37:15.3665593Z running benchmark:  44% 22/50 [00:02<00:03,  8.94it/s]
2025-08-14T21:37:15.4866091Z running benchmark:  46% 23/50 [00:02<00:02,  9.19it/s]
2025-08-14T21:37:15.5936373Z running benchmark:  48% 24/50 [00:02<00:02,  8.92it/s]
2025-08-14T21:37:15.7158141Z running benchmark:  50% 25/50 [00:02<00:02,  9.05it/s]
2025-08-14T21:37:15.8170851Z running benchmark:  52% 26/50 [00:02<00:02,  8.77it/s]
2025-08-14T21:37:15.9362283Z running benchmark:  54% 27/50 [00:03<00:02,  9.07it/s]
2025-08-14T21:37:16.0366773Z running benchmark:  56% 28/50 [00:03<00:02,  8.86it/s]
2025-08-14T21:37:16.1499411Z running benchmark:  58% 29/50 [00:03<00:02,  9.16it/s]
2025-08-14T21:37:16.2510424Z running benchmark:  60% 30/50 [00:03<00:02,  9.06it/s]
2025-08-14T21:37:16.3710117Z running benchmark:  62% 31/50 [00:03<00:02,  9.29it/s]
2025-08-14T21:37:16.4721098Z running benchmark:  64% 32/50 [00:03<00:02,  8.98it/s]
2025-08-14T21:37:16.5922897Z running benchmark:  66% 33/50 [00:03<00:01,  9.24it/s]
2025-08-14T21:37:16.7048359Z running benchmark:  68% 34/50 [00:03<00:01,  8.94it/s]
2025-08-14T21:37:16.8245012Z running benchmark:  70% 35/50 [00:03<00:01,  8.92it/s]
2025-08-14T21:37:17.0439736Z running benchmark:  72% 36/50 [00:04<00:01,  8.75it/s]
2025-08-14T21:37:17.2451002Z running benchmark:  76% 38/50 [00:04<00:01,  8.91it/s]
2025-08-14T21:37:17.3464741Z running benchmark:  80% 40/50 [00:04<00:01,  9.30it/s]
2025-08-14T21:37:17.4640950Z running benchmark:  82% 41/50 [00:04<00:00,  9.41it/s]
2025-08-14T21:37:17.5645188Z running benchmark:  84% 42/50 [00:04<00:00,  9.18it/s]
2025-08-14T21:37:17.6817788Z running benchmark:  86% 43/50 [00:04<00:00,  9.37it/s]
2025-08-14T21:37:17.7951458Z running benchmark:  88% 44/50 [00:04<00:00,  9.13it/s]
2025-08-14T21:37:17.9131767Z running benchmark:  90% 45/50 [00:04<00:00,  9.05it/s]
2025-08-14T21:37:18.0145040Z running benchmark:  92% 46/50 [00:05<00:00,  8.87it/s]
2025-08-14T21:37:18.1342775Z running benchmark:  94% 47/50 [00:05<00:00,  9.14it/s]
2025-08-14T21:37:18.2364949Z running benchmark:  96% 48/50 [00:05<00:00,  8.89it/s]
2025-08-14T21:37:18.3546988Z running benchmark:  98% 49/50 [00:05<00:00,  9.14it/s]
2025-08-14T21:37:18.3547499Z running benchmark: 100% 50/50 [00:05<00:00,  8.93it/s]
2025-08-14T21:37:18.3547903Z running benchmark: 100% 50/50 [00:05<00:00,  9.01it/s]
2025-08-14T21:37:18.7289197Z 2.218x
2025-08-14T21:37:18.7289766Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T21:37:20.2937152Z + cat /var/lib/jenkins/workspace/test/test-reports/inductor_inference_hf_Bert_large_inductor_amp_dynamic_cpu_smoketest.csv
2025-08-14T21:37:20.2952580Z 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
2025-08-14T21:37:20.2953231Z cpu,hf_Bert_large,1,2.218355,32.903822,19.766343,0.890381,663.738778,745.454387,552,1,0,0,0,0,1
2025-08-14T21:37:20.2954840Z + python benchmarks/dynamo/check_perf_csv.py -f /var/lib/jenkins/workspace/test/test-reports/inductor_inference_hf_Bert_large_inductor_amp_dynamic_cpu_smoketest.csv -t 1.18572179 -s 0.99
2025-08-14T21:37:20.5411886Z hf_Bert_large                      2.218355
2025-08-14T21:37:20.5758896Z + IFS=,
2025-08-14T21:37:20.5759236Z + read -r -a model_cfg
2025-08-14T21:37:20.5759529Z + local model_name=llama
2025-08-14T21:37:20.5759785Z + local data_type=amp
2025-08-14T21:37:20.5760017Z + local speedup_target=1.33157028
2025-08-14T21:37:20.5760241Z + local backend=inductor
2025-08-14T21:37:20.5760433Z + [[ default == \c\p\p ]]
2025-08-14T21:37:20.5760639Z + unset TORCHINDUCTOR_CPP_WRAPPER
2025-08-14T21:37:20.5761119Z + local output_name=/var/lib/jenkins/workspace/test/test-reports/inductor_inference_llama_inductor_amp_static_cpu_smoketest.csv
2025-08-14T21:37:20.5761581Z + [[ static == \d\y\n\a\m\i\c ]]
2025-08-14T21:37:20.5762380Z + 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
2025-08-14T21:37:22.6286380Z 
2025-08-14T21:37:23.3067569Z loading model: 0it [00:00, ?it/s]
2025-08-14T21:37:23.3068816Z loading model: 0it [00:00, ?it/s]
2025-08-14T21:37:23.3070777Z cpu  eval  llama                              
2025-08-14T21:37:30.2282954Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2283389Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2283720Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2284120Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:30.2284750Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:30.2285249Z     return mod(*inputs)
2025-08-14T21:37:30.2285657Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:30.2286113Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:30.2286635Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:30.2287114Z     h = x + self.attention.forward(
2025-08-14T21:37:30.2287558Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:30.2288098Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:30.2288643Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-08-14T21:37:30.2289265Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-08-14T21:37:30.2289985Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:30.2290611Z     return func(*args, **kwargs)
2025-08-14T21:37:30.2290810Z 
2025-08-14T21:37:30.2290980Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:30.2291608Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:30.2292139Z     return mod(*inputs)
2025-08-14T21:37:30.2292577Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:30.2293058Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:30.2293550Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:30.2294020Z     h = x + self.attention.forward(
2025-08-14T21:37:30.2294470Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:30.2295127Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:30.2295706Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-08-14T21:37:30.2296305Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-08-14T21:37:30.2296988Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:30.2297584Z     return func(*args, **kwargs)
2025-08-14T21:37:30.2297791Z 
2025-08-14T21:37:30.2298349Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:30.2298970Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:30.2299515Z     return mod(*inputs)
2025-08-14T21:37:30.2299944Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:30.2300433Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:30.2300908Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:30.2301405Z     h = x + self.attention.forward(
2025-08-14T21:37:30.2301871Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:30.2302370Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:30.2302910Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-14T21:37:30.2303470Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-14T21:37:30.2304136Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:30.2304693Z     return func(*args, **kwargs)
2025-08-14T21:37:30.2304995Z 
2025-08-14T21:37:30.2305157Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:30.2305750Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:30.2306285Z     return mod(*inputs)
2025-08-14T21:37:30.2306708Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:30.2307195Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:30.2307677Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:30.2308148Z     h = x + self.attention.forward(
2025-08-14T21:37:30.2308624Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:30.2309141Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:30.2309689Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-14T21:37:30.2310244Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-14T21:37:30.2310885Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:30.2311473Z     return func(*args, **kwargs)
2025-08-14T21:37:30.2311657Z 
2025-08-14T21:37:30.2311824Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:30.2312440Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:30.2312957Z     return mod(*inputs)
2025-08-14T21:37:30.2313350Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:30.2313814Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:30.2314292Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:30.2314774Z     h = x + self.attention.forward(
2025-08-14T21:37:30.2315239Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:30.2315751Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:30.2316304Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-14T21:37:30.2316865Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-14T21:37:30.2317517Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:30.2318119Z     return func(*args, **kwargs)
2025-08-14T21:37:30.2318311Z 
2025-08-14T21:37:30.2318488Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:30.2319068Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:30.2319592Z     return mod(*inputs)
2025-08-14T21:37:30.2320076Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:30.2320537Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:30.2321022Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:30.2321479Z     h = x + self.attention.forward(
2025-08-14T21:37:30.2321941Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:30.2322428Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:30.2322969Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-14T21:37:30.2323526Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-14T21:37:30.2324169Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:30.2324753Z     return func(*args, **kwargs)
2025-08-14T21:37:30.2324945Z 
2025-08-14T21:37:30.2325076Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2325422Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2325748Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2326126Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:30.2326796Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:30.2327304Z     return mod(*inputs)
2025-08-14T21:37:30.2327703Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:30.2328178Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:30.2328621Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:30.2329100Z     h = x + self.attention.forward(
2025-08-14T21:37:30.2329535Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:30.2330026Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:30.2330545Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-08-14T21:37:30.2331140Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-08-14T21:37:30.2331854Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:30.2332444Z     return func(*args, **kwargs)
2025-08-14T21:37:30.2332643Z 
2025-08-14T21:37:30.2332809Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:30.2333406Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:30.2333935Z     return mod(*inputs)
2025-08-14T21:37:30.2334349Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:30.2334836Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:30.2335310Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:30.2335762Z     h = x + self.attention.forward(
2025-08-14T21:37:30.2336221Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:30.2363696Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:30.2364462Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-08-14T21:37:30.2365138Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-08-14T21:37:30.2365863Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:30.2366469Z     return func(*args, **kwargs)
2025-08-14T21:37:30.2366676Z 
2025-08-14T21:37:30.2366852Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:30.2367478Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:30.2368039Z     return mod(*inputs)
2025-08-14T21:37:30.2368475Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:30.2368982Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:30.2370034Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:30.2370538Z     h = x + self.attention.forward(
2025-08-14T21:37:30.2371034Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:30.2371564Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:30.2372114Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-14T21:37:30.2372676Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-14T21:37:30.2373344Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:30.2373962Z     return func(*args, **kwargs)
2025-08-14T21:37:30.2374159Z 
2025-08-14T21:37:30.2374335Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:30.2374954Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:30.2375524Z     return mod(*inputs)
2025-08-14T21:37:30.2375959Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:30.2376586Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:30.2377072Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:30.2377566Z     h = x + self.attention.forward(
2025-08-14T21:37:30.2378035Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:30.2378567Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:30.2379132Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-14T21:37:30.2379714Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-14T21:37:30.2380371Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:30.2380992Z     return func(*args, **kwargs)
2025-08-14T21:37:30.2381196Z 
2025-08-14T21:37:30.2381380Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:30.2381990Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:30.2382542Z     return mod(*inputs)
2025-08-14T21:37:30.2382983Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:30.2383487Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:30.2383975Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:30.2384466Z     h = x + self.attention.forward(
2025-08-14T21:37:30.2384949Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:30.2385481Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:30.2386059Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-14T21:37:30.2386650Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-14T21:37:30.2387331Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:30.2387951Z     return func(*args, **kwargs)
2025-08-14T21:37:30.2388157Z 
2025-08-14T21:37:30.2388328Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:30.2388965Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:30.2389512Z     return mod(*inputs)
2025-08-14T21:37:30.2389957Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:30.2390456Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:30.2390950Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:30.2391427Z     h = x + self.attention.forward(
2025-08-14T21:37:30.2391910Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:30.2392570Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:30.2393126Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-14T21:37:30.2393708Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-14T21:37:30.2394377Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:30.2394993Z     return func(*args, **kwargs)
2025-08-14T21:37:30.2395194Z 
2025-08-14T21:37:30.2395322Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2395676Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2396025Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2396356Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2396696Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2397034Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2397362Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2397692Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2398036Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2398376Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2398705Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2399105Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2399438Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2399822Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:30.2400441Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:30.2400998Z     return mod(*inputs)
2025-08-14T21:37:30.2401412Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:30.2401906Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:30.2402402Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 197, in forward
2025-08-14T21:37:30.2402922Z     out = h + self.feed_forward.forward(self.ffn_norm(h))
2025-08-14T21:37:30.2403450Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 170, in forward
2025-08-14T21:37:30.2403970Z     return self.w2(F.silu(self.w1(x)) * self.w3(x))
2025-08-14T21:37:30.2404629Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:30.2405235Z     return func(*args, **kwargs)
2025-08-14T21:37:30.2405443Z 
2025-08-14T21:37:30.2405566Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2405912Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2406258Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2406589Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2406929Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2407320Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:30.2407936Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:30.2408484Z     return mod(*inputs)
2025-08-14T21:37:30.2408917Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:30.2409391Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:30.2409871Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:30.2410362Z     h = x + self.attention.forward(
2025-08-14T21:37:30.2410851Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:30.2411381Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:30.2411956Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-08-14T21:37:30.2412592Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-08-14T21:37:30.2413314Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:30.2413931Z     return func(*args, **kwargs)
2025-08-14T21:37:30.2414142Z 
2025-08-14T21:37:30.2414409Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:30.2415045Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:30.2415604Z     return mod(*inputs)
2025-08-14T21:37:30.2416028Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:30.2416515Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:30.2416984Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:30.2417466Z     h = x + self.attention.forward(
2025-08-14T21:37:30.2417929Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:30.2418436Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:30.2418976Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-08-14T21:37:30.2419575Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-08-14T21:37:30.2420278Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:30.2420858Z     return func(*args, **kwargs)
2025-08-14T21:37:30.2421131Z 
2025-08-14T21:37:30.2421299Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:30.2421904Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:30.2422437Z     return mod(*inputs)
2025-08-14T21:37:30.2422850Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:30.2423346Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:30.2423826Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:30.2424298Z     h = x + self.attention.forward(
2025-08-14T21:37:30.2424766Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:30.2425287Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:30.2425848Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-14T21:37:30.2426409Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-14T21:37:30.2427067Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:30.2427653Z     return func(*args, **kwargs)
2025-08-14T21:37:30.2427845Z 
2025-08-14T21:37:30.2428034Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:30.2428645Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:30.2429177Z     return mod(*inputs)
2025-08-14T21:37:30.2429598Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:30.2430083Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:30.2430553Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:30.2431069Z     h = x + self.attention.forward(
2025-08-14T21:37:30.2431527Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:30.2432017Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:30.2432568Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-14T21:37:30.2433134Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-14T21:37:30.2433801Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:30.2434395Z     return func(*args, **kwargs)
2025-08-14T21:37:30.2434600Z 
2025-08-14T21:37:30.2434768Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:30.2435366Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:30.2435899Z     return mod(*inputs)
2025-08-14T21:37:30.2436803Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:30.2437297Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:30.2437775Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:30.2438243Z     h = x + self.attention.forward(
2025-08-14T21:37:30.2438711Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:30.2439228Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:30.2439771Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-14T21:37:30.2440334Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-14T21:37:30.2440991Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:30.2441585Z     return func(*args, **kwargs)
2025-08-14T21:37:30.2441776Z 
2025-08-14T21:37:30.2441942Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:30.2442549Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:30.2443092Z     return mod(*inputs)
2025-08-14T21:37:30.2443504Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:30.2444091Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:30.2444566Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:30.2445044Z     h = x + self.attention.forward(
2025-08-14T21:37:30.2445500Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:30.2446011Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:30.2446562Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-14T21:37:30.2447120Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-14T21:37:30.2447772Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:30.2448376Z     return func(*args, **kwargs)
2025-08-14T21:37:30.2448568Z 
2025-08-14T21:37:30.2448705Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2449046Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2449379Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2449761Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:30.2450361Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:30.2450897Z     return mod(*inputs)
2025-08-14T21:37:30.2451320Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:30.2451806Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:30.2452280Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:30.2452751Z     h = x + self.attention.forward(
2025-08-14T21:37:30.2453218Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:30.2453725Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:30.2454279Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-08-14T21:37:30.2454895Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-08-14T21:37:30.2455602Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:30.2456212Z     return func(*args, **kwargs)
2025-08-14T21:37:30.2456419Z 
2025-08-14T21:37:30.2456587Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:30.2457185Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:30.2457713Z     return mod(*inputs)
2025-08-14T21:37:30.2458132Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:30.2458618Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:30.2459183Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:30.2459654Z     h = x + self.attention.forward(
2025-08-14T21:37:30.2460128Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:30.2460649Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:30.2461198Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-08-14T21:37:30.2461802Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-08-14T21:37:30.2462514Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:30.2463120Z     return func(*args, **kwargs)
2025-08-14T21:37:30.2463302Z 
2025-08-14T21:37:30.2463471Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:30.2464069Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:30.2464611Z     return mod(*inputs)
2025-08-14T21:37:30.2465022Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:30.2465586Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:30.2466070Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:30.2466548Z     h = x + self.attention.forward(
2025-08-14T21:37:30.2467005Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:30.2467525Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:30.2468083Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-14T21:37:30.2468639Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-14T21:37:30.2469298Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:30.2469973Z     return func(*args, **kwargs)
2025-08-14T21:37:30.2470172Z 
2025-08-14T21:37:30.2470354Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:30.2470941Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:30.2471474Z     return mod(*inputs)
2025-08-14T21:37:30.2471898Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:30.2472373Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:30.2472854Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:30.2473330Z     h = x + self.attention.forward(
2025-08-14T21:37:30.2473783Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:30.2474304Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:30.2474855Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-14T21:37:30.2475416Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-14T21:37:30.2476059Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:30.2476659Z     return func(*args, **kwargs)
2025-08-14T21:37:30.2476855Z 
2025-08-14T21:37:30.2477026Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:30.2477630Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:30.2478164Z     return mod(*inputs)
2025-08-14T21:37:30.2478590Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:30.2479079Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:30.2479554Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:30.2480030Z     h = x + self.attention.forward(
2025-08-14T21:37:30.2480503Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:30.2481167Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:30.2481731Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-14T21:37:30.2482311Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-14T21:37:30.2482970Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:30.2483562Z     return func(*args, **kwargs)
2025-08-14T21:37:30.2483765Z 
2025-08-14T21:37:30.2483931Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:30.2484532Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:30.2485069Z     return mod(*inputs)
2025-08-14T21:37:30.2485487Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:30.2485983Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:30.2486471Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:30.2486937Z     h = x + self.attention.forward(
2025-08-14T21:37:30.2487409Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:30.2488017Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:30.2488561Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-14T21:37:30.2489118Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-14T21:37:30.2489778Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:30.2490379Z     return func(*args, **kwargs)
2025-08-14T21:37:30.2490572Z 
2025-08-14T21:37:30.2490697Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2491049Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2491382Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2491705Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2492033Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2492351Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2492673Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2493008Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2493338Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2493668Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2494000Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2494314Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2494642Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2495025Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:30.2495630Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:30.2496163Z     return mod(*inputs)
2025-08-14T21:37:30.2496583Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:30.2497077Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:30.2497554Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 197, in forward
2025-08-14T21:37:30.2498074Z     out = h + self.feed_forward.forward(self.ffn_norm(h))
2025-08-14T21:37:30.2498592Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 170, in forward
2025-08-14T21:37:30.2499087Z     return self.w2(F.silu(self.w1(x)) * self.w3(x))
2025-08-14T21:37:30.2499723Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:30.2500313Z     return func(*args, **kwargs)
2025-08-14T21:37:30.2500504Z 
2025-08-14T21:37:30.2500632Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2500963Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2501287Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2501618Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2501935Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2502392Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:30.2503002Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:30.2503539Z     return mod(*inputs)
2025-08-14T21:37:30.2503969Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:30.2504455Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:30.2504938Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:30.2505411Z     h = x + self.attention.forward(
2025-08-14T21:37:30.2505879Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:30.2506393Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:30.2506933Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-08-14T21:37:30.2507546Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-08-14T21:37:30.2508265Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:30.2508865Z     return func(*args, **kwargs)
2025-08-14T21:37:30.2509114Z 
2025-08-14T21:37:30.2509283Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:30.2509887Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:30.2510426Z     return mod(*inputs)
2025-08-14T21:37:30.2510845Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:30.2511327Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:30.2511815Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:30.2512291Z     h = x + self.attention.forward(
2025-08-14T21:37:30.2512749Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:30.2513267Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:30.2513834Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-08-14T21:37:30.2514439Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-08-14T21:37:30.2515142Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:30.2515745Z     return func(*args, **kwargs)
2025-08-14T21:37:30.2515941Z 
2025-08-14T21:37:30.2516120Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:30.2516707Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:30.2517240Z     return mod(*inputs)
2025-08-14T21:37:30.2517659Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:30.2518134Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:30.2518604Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:30.2519077Z     h = x + self.attention.forward(
2025-08-14T21:37:30.2519543Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:30.2520040Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:30.2520593Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-14T21:37:30.2521159Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-14T21:37:30.2521802Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:30.2522399Z     return func(*args, **kwargs)
2025-08-14T21:37:30.2522594Z 
2025-08-14T21:37:30.2522771Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:30.2523381Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:30.2523911Z     return mod(*inputs)
2025-08-14T21:37:30.2524422Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:30.2524902Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:30.2525390Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:30.2525865Z     h = x + self.attention.forward(
2025-08-14T21:37:30.2526325Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:30.2526838Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:30.2527392Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-14T21:37:30.2527951Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-14T21:37:30.2528600Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:30.2529198Z     return func(*args, **kwargs)
2025-08-14T21:37:30.2529389Z 
2025-08-14T21:37:30.2529569Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:30.2530165Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:30.2530700Z     return mod(*inputs)
2025-08-14T21:37:30.2531197Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:30.2531675Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:30.2532141Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:30.2532626Z     h = x + self.attention.forward(
2025-08-14T21:37:30.2533097Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:30.2533598Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:30.2534144Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-14T21:37:30.2534725Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-14T21:37:30.2535377Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:30.2535969Z     return func(*args, **kwargs)
2025-08-14T21:37:30.2536169Z 
2025-08-14T21:37:30.2536336Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:30.2536942Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:30.2537468Z     return mod(*inputs)
2025-08-14T21:37:30.2537888Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:30.2538362Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:30.2538842Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:30.2539308Z     h = x + self.attention.forward(
2025-08-14T21:37:30.2539772Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:30.2540281Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:30.2540812Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-14T21:37:30.2541379Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-14T21:37:30.2542025Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:30.2542632Z     return func(*args, **kwargs)
2025-08-14T21:37:30.2542824Z 
2025-08-14T21:37:30.2542950Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2543291Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2543624Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2543998Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:30.2544611Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:30.2545152Z     return mod(*inputs)
2025-08-14T21:37:30.2545577Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:30.2546056Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:30.2546656Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:30.2547134Z     h = x + self.attention.forward(
2025-08-14T21:37:30.2547584Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:30.2548098Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:30.2548641Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-08-14T21:37:30.2549264Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-08-14T21:37:30.2549949Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:30.2550541Z     return func(*args, **kwargs)
2025-08-14T21:37:30.2550730Z 
2025-08-14T21:37:30.2550903Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:30.2551493Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:30.2552028Z     return mod(*inputs)
2025-08-14T21:37:30.2552448Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:30.2552988Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:30.2553465Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:30.2553931Z     h = x + self.attention.forward(
2025-08-14T21:37:30.2554400Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:30.2554903Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:30.2555466Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-08-14T21:37:30.2556076Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-08-14T21:37:30.2556782Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:30.2557374Z     return func(*args, **kwargs)
2025-08-14T21:37:30.2557577Z 
2025-08-14T21:37:30.2557746Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:30.2558347Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:30.2558871Z     return mod(*inputs)
2025-08-14T21:37:30.2559295Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:30.2559775Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:30.2560259Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:30.2560720Z     h = x + self.attention.forward(
2025-08-14T21:37:30.2561183Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:30.2561697Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:30.2562244Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-14T21:37:30.2562805Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-14T21:37:30.2563454Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:30.2564065Z     return func(*args, **kwargs)
2025-08-14T21:37:30.2564257Z 
2025-08-14T21:37:30.2564423Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:30.2565028Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:30.2565561Z     return mod(*inputs)
2025-08-14T21:37:30.2565968Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:30.2566450Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:30.2566925Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:30.2567399Z     h = x + self.attention.forward(
2025-08-14T21:37:30.2567857Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:30.2568442Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:30.2569010Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-14T21:37:30.2569564Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-14T21:37:30.2570266Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:30.2570872Z     return func(*args, **kwargs)
2025-08-14T21:37:30.2571071Z 
2025-08-14T21:37:30.2571248Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:30.2571840Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:30.2572379Z     return mod(*inputs)
2025-08-14T21:37:30.2572799Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:30.2573265Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:30.2573752Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:30.2574223Z     h = x + self.attention.forward(
2025-08-14T21:37:30.2574678Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:30.2575318Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:30.2575872Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-14T21:37:30.2576454Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-14T21:37:30.2577094Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:30.2577692Z     return func(*args, **kwargs)
2025-08-14T21:37:30.2577888Z 
2025-08-14T21:37:30.2578067Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:30.2578677Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:30.2579207Z     return mod(*inputs)
2025-08-14T21:37:30.2579655Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:30.2580149Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:30.2580641Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:30.2581120Z     h = x + self.attention.forward(
2025-08-14T21:37:30.2581626Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:30.2582150Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:30.2582696Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-14T21:37:30.2583268Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-14T21:37:30.2583919Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:30.2584498Z     return func(*args, **kwargs)
2025-08-14T21:37:30.2584700Z 
2025-08-14T21:37:30.2584831Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2585175Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2585514Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2585841Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2586166Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2586496Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2586812Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2587139Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2587467Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2587790Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2588119Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2588444Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2588761Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2589138Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:30.2589858Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:30.2590396Z     return mod(*inputs)
2025-08-14T21:37:30.2590815Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:30.2591306Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:30.2591783Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 197, in forward
2025-08-14T21:37:30.2592303Z     out = h + self.feed_forward.forward(self.ffn_norm(h))
2025-08-14T21:37:30.2592819Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 170, in forward
2025-08-14T21:37:30.2593323Z     return self.w2(F.silu(self.w1(x)) * self.w3(x))
2025-08-14T21:37:30.2593964Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:30.2594546Z     return func(*args, **kwargs)
2025-08-14T21:37:30.2594749Z 
2025-08-14T21:37:30.2594870Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2595207Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2595529Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2595862Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2596189Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2596969Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:30.2597574Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:30.2598111Z     return mod(*inputs)
2025-08-14T21:37:30.2598538Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:30.2599020Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:30.2599505Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:30.2599987Z     h = x + self.attention.forward(
2025-08-14T21:37:30.2600450Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:30.2600974Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:30.2601523Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-08-14T21:37:30.2602136Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-08-14T21:37:30.2602840Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:30.2603434Z     return func(*args, **kwargs)
2025-08-14T21:37:30.2603633Z 
2025-08-14T21:37:30.2603811Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:30.2604411Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:30.2604958Z     return mod(*inputs)
2025-08-14T21:37:30.2605392Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:30.2605883Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:30.2606358Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:30.2606840Z     h = x + self.attention.forward(
2025-08-14T21:37:30.2607309Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:30.2607811Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:30.2608371Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-08-14T21:37:30.2608982Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-08-14T21:37:30.2609672Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:30.2610258Z     return func(*args, **kwargs)
2025-08-14T21:37:30.2610461Z 
2025-08-14T21:37:30.2610625Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:30.2611218Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:30.2611770Z     return mod(*inputs)
2025-08-14T21:37:30.2612306Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:30.2612789Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:30.2613280Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:30.2613764Z     h = x + self.attention.forward(
2025-08-14T21:37:30.2614229Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:30.2614741Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:30.2615300Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-14T21:37:30.2615863Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-14T21:37:30.2616503Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:30.2617097Z     return func(*args, **kwargs)
2025-08-14T21:37:30.2617294Z 
2025-08-14T21:37:30.2617461Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:30.2618065Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:30.2618591Z     return mod(*inputs)
2025-08-14T21:37:30.2619074Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:30.2619559Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:30.2620038Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:30.2620507Z     h = x + self.attention.forward(
2025-08-14T21:37:30.2620976Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:30.2621493Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:30.2622039Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-14T21:37:30.2622609Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-14T21:37:30.2623272Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:30.2623861Z     return func(*args, **kwargs)
2025-08-14T21:37:30.2624065Z 
2025-08-14T21:37:30.2624424Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:30.2625040Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:30.2625580Z     return mod(*inputs)
2025-08-14T21:37:30.2625995Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:30.2626482Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:30.2626978Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:30.2627450Z     h = x + self.attention.forward(
2025-08-14T21:37:30.2627909Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:30.2628440Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:30.2628991Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-14T21:37:30.2629552Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-14T21:37:30.2630209Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:30.2630820Z     return func(*args, **kwargs)
2025-08-14T21:37:30.2631012Z 
2025-08-14T21:37:30.2631195Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:30.2631796Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:30.2632347Z     return mod(*inputs)
2025-08-14T21:37:30.2632766Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:30.2633251Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:30.2633734Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:30.2634212Z     h = x + self.attention.forward(
2025-08-14T21:37:30.2634758Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:30.2635276Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:30.2635841Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-14T21:37:30.2636409Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-14T21:37:30.2637059Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:30.2637665Z     return func(*args, **kwargs)
2025-08-14T21:37:30.2637858Z 
2025-08-14T21:37:30.2637992Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2638336Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2638666Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2639052Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:30.2639660Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:30.2640191Z     return mod(*inputs)
2025-08-14T21:37:30.2640612Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:30.2641158Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:30.2641629Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:30.2642118Z     h = x + self.attention.forward(
2025-08-14T21:37:30.2642581Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:30.2643099Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:30.2643652Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-08-14T21:37:30.2644276Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-08-14T21:37:30.2644985Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:30.2645567Z     return func(*args, **kwargs)
2025-08-14T21:37:30.2645767Z 
2025-08-14T21:37:30.2645935Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:30.2646538Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:30.2647080Z     return mod(*inputs)
2025-08-14T21:37:30.2647490Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:30.2647977Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:30.2648465Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:30.2648931Z     h = x + self.attention.forward(
2025-08-14T21:37:30.2649394Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:30.2649907Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:30.2650465Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-08-14T21:37:30.2651070Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-08-14T21:37:30.2651780Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:30.2652380Z     return func(*args, **kwargs)
2025-08-14T21:37:30.2652572Z 
2025-08-14T21:37:30.2652742Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:30.2653356Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:30.2653901Z     return mod(*inputs)
2025-08-14T21:37:30.2654328Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:30.2654802Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:30.2655284Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:30.2655760Z     h = x + self.attention.forward(
2025-08-14T21:37:30.2656203Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:30.2656783Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:30.2657342Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-14T21:37:30.2657918Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-14T21:37:30.2658561Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:30.2659164Z     return func(*args, **kwargs)
2025-08-14T21:37:30.2659356Z 
2025-08-14T21:37:30.2659540Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:30.2660131Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:30.2660669Z     return mod(*inputs)
2025-08-14T21:37:30.2661094Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:30.2661580Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:30.2662051Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:30.2662524Z     h = x + self.attention.forward(
2025-08-14T21:37:30.2662992Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:30.2663546Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:30.2664100Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-14T21:37:30.2664673Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-14T21:37:30.2665325Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:30.2665908Z     return func(*args, **kwargs)
2025-08-14T21:37:30.2666111Z 
2025-08-14T21:37:30.2666276Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:30.2666883Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:30.2667414Z     return mod(*inputs)
2025-08-14T21:37:30.2667844Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:30.2668337Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:30.2668828Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:30.2669291Z     h = x + self.attention.forward(
2025-08-14T21:37:30.2669831Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:30.2670358Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:30.2670930Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-14T21:37:30.2671516Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-14T21:37:30.2672179Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:30.2672795Z     return func(*args, **kwargs)
2025-08-14T21:37:30.2672990Z 
2025-08-14T21:37:30.2673161Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:30.2673781Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:30.2674334Z     return mod(*inputs)
2025-08-14T21:37:30.2674759Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:30.2675247Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:30.2675741Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:30.2676235Z     h = x + self.attention.forward(
2025-08-14T21:37:30.2676705Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:30.2677233Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:30.2677802Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-14T21:37:30.2678361Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-14T21:37:30.2679151Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:30.2679780Z     return func(*args, **kwargs)
2025-08-14T21:37:30.2679988Z 
2025-08-14T21:37:30.2680134Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2680485Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2680837Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2681183Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2681512Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2681859Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2682210Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2682539Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2682882Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2683289Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:30.2683922Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:30.2684467Z     return mod(*inputs)
2025-08-14T21:37:30.2684903Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:30.2685489Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:30.2685962Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:30.2686443Z     h = x + self.attention.forward(
2025-08-14T21:37:30.2687036Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:30.2687625Z     return func(*args, **kwargs)
2025-08-14T21:37:30.2687828Z 
2025-08-14T21:37:30.2687946Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2688278Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2688613Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2688940Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2689319Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:30.2689916Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:30.2690444Z     return mod(*inputs)
2025-08-14T21:37:30.2690865Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:30.2691346Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:30.2691809Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 197, in forward
2025-08-14T21:37:30.2692313Z     out = h + self.feed_forward.forward(self.ffn_norm(h))
2025-08-14T21:37:30.2692814Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 170, in forward
2025-08-14T21:37:30.2693310Z     return self.w2(F.silu(self.w1(x)) * self.w3(x))
2025-08-14T21:37:30.2693927Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:30.2694521Z     return func(*args, **kwargs)
2025-08-14T21:37:30.2694714Z 
2025-08-14T21:37:30.2694841Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2695177Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2695498Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2695826Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2696161Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2696531Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:30.2697130Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:30.2697656Z     return mod(*inputs)
2025-08-14T21:37:30.2698066Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:30.2698536Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:30.2699024Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:30.2699498Z     h = x + self.attention.forward(
2025-08-14T21:37:30.2699951Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:30.2700573Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:30.2701131Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-08-14T21:37:30.2701745Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-08-14T21:37:30.2702456Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:30.2703047Z     return func(*args, **kwargs)
2025-08-14T21:37:30.2703238Z 
2025-08-14T21:37:30.2703416Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:30.2704007Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:30.2704540Z     return mod(*inputs)
2025-08-14T21:37:30.2704959Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:30.2705428Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:30.2705920Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:30.2706397Z     h = x + self.attention.forward(
2025-08-14T21:37:30.2706857Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:30.2707426Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:30.2707988Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-08-14T21:37:30.2708604Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-08-14T21:37:30.2709301Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:30.2709903Z     return func(*args, **kwargs)
2025-08-14T21:37:30.2710113Z 
2025-08-14T21:37:30.2710279Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:30.2710880Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:30.2711407Z     return mod(*inputs)
2025-08-14T21:37:30.2711835Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:30.2712321Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:30.2712801Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:30.2713280Z     h = x + self.attention.forward(
2025-08-14T21:37:30.2713749Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:30.2714268Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:30.2714812Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-14T21:37:30.2715384Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-14T21:37:30.2716040Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:30.2716628Z     return func(*args, **kwargs)
2025-08-14T21:37:30.2716831Z 
2025-08-14T21:37:30.2717003Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:30.2717606Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:30.2718149Z     return mod(*inputs)
2025-08-14T21:37:30.2718561Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:30.2719054Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:30.2719537Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:30.2720002Z     h = x + self.attention.forward(
2025-08-14T21:37:30.2720465Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:30.2720983Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:30.2721541Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-14T21:37:30.2722103Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-14T21:37:30.2722823Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:30.2723434Z     return func(*args, **kwargs)
2025-08-14T21:37:30.2723636Z 
2025-08-14T21:37:30.2723810Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:30.2724415Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:30.2724951Z     return mod(*inputs)
2025-08-14T21:37:30.2725377Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:30.2725857Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:30.2726344Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:30.2726822Z     h = x + self.attention.forward(
2025-08-14T21:37:30.2727281Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:30.2727793Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:30.2728352Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-14T21:37:30.2728906Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-14T21:37:30.2729599Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:30.2730197Z     return func(*args, **kwargs)
2025-08-14T21:37:30.2730398Z 
2025-08-14T21:37:30.2730582Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:30.2731182Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:30.2731724Z     return mod(*inputs)
2025-08-14T21:37:30.2732158Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:30.2732653Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:30.2733136Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:30.2733619Z     h = x + self.attention.forward(
2025-08-14T21:37:30.2734094Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:30.2734603Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:30.2735167Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-14T21:37:30.2735736Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-14T21:37:30.2736401Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:30.2736989Z     return func(*args, **kwargs)
2025-08-14T21:37:30.2737192Z 
2025-08-14T21:37:30.2737322Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2737673Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2738003Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2738393Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:30.2739011Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:30.2739555Z     return mod(*inputs)
2025-08-14T21:37:30.2739987Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:30.2740492Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:30.2740979Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:30.2741454Z     h = x + self.attention.forward(
2025-08-14T21:37:30.2741927Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:30.2742456Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:30.2743009Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-08-14T21:37:30.2743628Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-08-14T21:37:30.2744423Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:30.2745029Z     return func(*args, **kwargs)
2025-08-14T21:37:30.2745228Z 
2025-08-14T21:37:30.2745395Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:30.2746002Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:30.2746547Z     return mod(*inputs)
2025-08-14T21:37:30.2746962Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:30.2747457Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:30.2747945Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:30.2748423Z     h = x + self.attention.forward(
2025-08-14T21:37:30.2748871Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:30.2749385Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:30.2749942Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-08-14T21:37:30.2750550Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-08-14T21:37:30.2751260Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:30.2751918Z     return func(*args, **kwargs)
2025-08-14T21:37:30.2752115Z 
2025-08-14T21:37:30.2752296Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:30.2752895Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:30.2753438Z     return mod(*inputs)
2025-08-14T21:37:30.2753875Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:30.2754370Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:30.2754863Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:30.2755345Z     h = x + self.attention.forward(
2025-08-14T21:37:30.2755820Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:30.2756333Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:30.2756885Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-14T21:37:30.2757463Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-14T21:37:30.2758107Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:30.2758711Z     return func(*args, **kwargs)
2025-08-14T21:37:30.2758921Z 
2025-08-14T21:37:30.2759094Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:30.2759705Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:30.2760241Z     return mod(*inputs)
2025-08-14T21:37:30.2760671Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:30.2761166Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:30.2761655Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:30.2762144Z     h = x + self.attention.forward(
2025-08-14T21:37:30.2762634Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:30.2763157Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:30.2763718Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-14T21:37:30.2764296Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-14T21:37:30.2764946Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:30.2765533Z     return func(*args, **kwargs)
2025-08-14T21:37:30.2765739Z 
2025-08-14T21:37:30.2765911Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:30.2766533Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:30.2767429Z     return mod(*inputs)
2025-08-14T21:37:30.2767855Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:30.2768346Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:30.2768826Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:30.2769293Z     h = x + self.attention.forward(
2025-08-14T21:37:30.2769810Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:30.2770336Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:30.2770893Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-14T21:37:30.2771451Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-14T21:37:30.2772110Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:30.2772709Z     return func(*args, **kwargs)
2025-08-14T21:37:30.2772905Z 
2025-08-14T21:37:30.2773077Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:30.2773679Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:30.2774353Z     return mod(*inputs)
2025-08-14T21:37:30.2774782Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:30.2775261Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:30.2775748Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:30.2776230Z     h = x + self.attention.forward(
2025-08-14T21:37:30.2776694Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:30.2777215Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:30.2777771Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-14T21:37:30.2778342Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-14T21:37:30.2778991Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:30.2779584Z     return func(*args, **kwargs)
2025-08-14T21:37:30.2779777Z 
2025-08-14T21:37:30.2779914Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2780243Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2780629Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2781044Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2781442Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2781734Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2782031Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2782332Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2782641Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2782953Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2783268Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2783581Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2783930Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2784377Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:30.2784938Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:30.2785467Z     return mod(*inputs)
2025-08-14T21:37:30.2785884Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:30.2786360Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:30.2786831Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 197, in forward
2025-08-14T21:37:30.2787353Z     out = h + self.feed_forward.forward(self.ffn_norm(h))
2025-08-14T21:37:30.2787876Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 170, in forward
2025-08-14T21:37:30.2788372Z     return self.w2(F.silu(self.w1(x)) * self.w3(x))
2025-08-14T21:37:30.2789164Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:30.2789779Z     return func(*args, **kwargs)
2025-08-14T21:37:30.2789972Z 
2025-08-14T21:37:30.2790112Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2790441Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2790775Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2791106Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2791434Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2791825Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:30.2792427Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:30.2792960Z     return mod(*inputs)
2025-08-14T21:37:30.2793388Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:30.2793878Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:30.2794366Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:30.2794834Z     h = x + self.attention.forward(
2025-08-14T21:37:30.2795302Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:30.2795872Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:30.2796420Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-08-14T21:37:30.2797042Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-08-14T21:37:30.2797750Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:30.2798356Z     return func(*args, **kwargs)
2025-08-14T21:37:30.2798548Z 
2025-08-14T21:37:30.2798717Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:30.2799330Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:30.2799872Z     return mod(*inputs)
2025-08-14T21:37:30.2800301Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:30.2800807Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:30.2801302Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:30.2801788Z     h = x + self.attention.forward(
2025-08-14T21:37:30.2802253Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:30.2802779Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:30.2803341Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-08-14T21:37:30.2803946Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-08-14T21:37:30.2804661Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:30.2805265Z     return func(*args, **kwargs)
2025-08-14T21:37:30.2805463Z 
2025-08-14T21:37:30.2805646Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:30.2806259Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:30.2806807Z     return mod(*inputs)
2025-08-14T21:37:30.2807238Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:30.2807722Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:30.2808207Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:30.2808695Z     h = x + self.attention.forward(
2025-08-14T21:37:30.2809167Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:30.2809684Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:30.2810240Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-14T21:37:30.2810804Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-14T21:37:30.2811526Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:30.2812124Z     return func(*args, **kwargs)
2025-08-14T21:37:30.2812329Z 
2025-08-14T21:37:30.2812499Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:30.2813086Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:30.2813613Z     return mod(*inputs)
2025-08-14T21:37:30.2814038Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:30.2814522Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:30.2814996Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:30.2815477Z     h = x + self.attention.forward(
2025-08-14T21:37:30.2815947Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:30.2816473Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:30.2817023Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-14T21:37:30.2817589Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-14T21:37:30.2818295Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:30.2818881Z     return func(*args, **kwargs)
2025-08-14T21:37:30.2819079Z 
2025-08-14T21:37:30.2819245Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:30.2819853Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:30.2820381Z     return mod(*inputs)
2025-08-14T21:37:30.2820791Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:30.2821281Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:30.2821769Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:30.2822249Z     h = x + self.attention.forward(
2025-08-14T21:37:30.2822720Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:30.2823243Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:30.2823800Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-14T21:37:30.2824363Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-14T21:37:30.2825016Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:30.2825621Z     return func(*args, **kwargs)
2025-08-14T21:37:30.2825814Z 
2025-08-14T21:37:30.2825984Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:30.2826594Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:30.2827136Z     return mod(*inputs)
2025-08-14T21:37:30.2827556Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:30.2828039Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:30.2828517Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:30.2829000Z     h = x + self.attention.forward(
2025-08-14T21:37:30.2829424Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:30.2829904Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:30.2830437Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-14T21:37:30.2830974Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-14T21:37:30.2831583Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:30.2832147Z     return func(*args, **kwargs)
2025-08-14T21:37:30.2832325Z 
2025-08-14T21:37:30.2832456Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2832867Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2833195Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2833554Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:30.2834132Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:30.2834614Z     return mod(*inputs)
2025-08-14T21:37:30.2834990Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:30.2835455Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:30.2835871Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:30.2836311Z     h = x + self.attention.forward(
2025-08-14T21:37:30.2836746Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:30.2837155Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:30.2837593Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-08-14T21:37:30.2838007Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-08-14T21:37:30.2838449Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:30.2838979Z     return func(*args, **kwargs)
2025-08-14T21:37:30.2839172Z 
2025-08-14T21:37:30.2839314Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:30.2839874Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:30.2840427Z     return mod(*inputs)
2025-08-14T21:37:30.2840857Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:30.2841359Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:30.2841851Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:30.2842323Z     h = x + self.attention.forward(
2025-08-14T21:37:30.2842790Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:30.2843264Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:30.2843753Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-08-14T21:37:30.2844339Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-08-14T21:37:30.2844961Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:30.2845595Z     return func(*args, **kwargs)
2025-08-14T21:37:30.2845795Z 
2025-08-14T21:37:30.2845976Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:30.2846614Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:30.2847191Z     return mod(*inputs)
2025-08-14T21:37:30.2847637Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:30.2848081Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:30.2848549Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:30.2849030Z     h = x + self.attention.forward(
2025-08-14T21:37:30.2849482Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:30.2849982Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:30.2850518Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-14T21:37:30.2851058Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-14T21:37:30.2851699Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:30.2852279Z     return func(*args, **kwargs)
2025-08-14T21:37:30.2852460Z 
2025-08-14T21:37:30.2852626Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:30.2853292Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:30.2853814Z     return mod(*inputs)
2025-08-14T21:37:30.2854215Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:30.2854676Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:30.2855150Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:30.2855621Z     h = x + self.attention.forward(
2025-08-14T21:37:30.2856077Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:30.2856582Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:30.2857127Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-14T21:37:30.2857687Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-14T21:37:30.2858325Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:30.2858897Z     return func(*args, **kwargs)
2025-08-14T21:37:30.2859097Z 
2025-08-14T21:37:30.2859263Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:30.2859850Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:30.2860466Z     return mod(*inputs)
2025-08-14T21:37:30.2860882Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:30.2861358Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:30.2861816Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:30.2862280Z     h = x + self.attention.forward(
2025-08-14T21:37:30.2862723Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:30.2863229Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:30.2863758Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-14T21:37:30.2864303Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-14T21:37:30.2864941Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:30.2865514Z     return func(*args, **kwargs)
2025-08-14T21:37:30.2865707Z 
2025-08-14T21:37:30.2865867Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:30.2866462Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:30.2866989Z     return mod(*inputs)
2025-08-14T21:37:30.2867386Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:30.2867866Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:30.2868339Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:30.2868798Z     h = x + self.attention.forward(
2025-08-14T21:37:30.2869258Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:30.2870065Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:30.2870687Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-14T21:37:30.2871300Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-14T21:37:30.2871999Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:30.2872554Z     return func(*args, **kwargs)
2025-08-14T21:37:30.2872735Z 
2025-08-14T21:37:30.2872853Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2873179Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2873504Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2873819Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2874127Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2874439Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2874753Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2875208Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2875519Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2875884Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:30.2876460Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:30.2876987Z     return mod(*inputs)
2025-08-14T21:37:30.2877402Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:30.2877871Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:30.2878321Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:30.2878778Z     h = x + self.attention.forward(
2025-08-14T21:37:30.2879360Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:30.2879923Z     return func(*args, **kwargs)
2025-08-14T21:37:30.2880122Z 
2025-08-14T21:37:30.2880233Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2880565Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2880870Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2881186Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2881644Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:30.2882230Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:30.2882737Z     return mod(*inputs)
2025-08-14T21:37:30.2883145Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:30.2883612Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:30.2884055Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 197, in forward
2025-08-14T21:37:30.2884562Z     out = h + self.feed_forward.forward(self.ffn_norm(h))
2025-08-14T21:37:30.2885062Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 170, in forward
2025-08-14T21:37:30.2885550Z     return self.w2(F.silu(self.w1(x)) * self.w3(x))
2025-08-14T21:37:30.2886156Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:30.2886748Z     return func(*args, **kwargs)
2025-08-14T21:37:30.2886932Z 
2025-08-14T21:37:30.2887054Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2887367Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2887685Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2887998Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2888302Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2888646Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:30.2889206Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:30.2889725Z     return mod(*inputs)
2025-08-14T21:37:30.2890113Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:30.2890575Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:30.2891040Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:30.2891479Z     h = x + self.attention.forward(
2025-08-14T21:37:30.2891924Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:30.2892420Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:30.2892966Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-08-14T21:37:30.2893540Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-08-14T21:37:30.2894214Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:30.2894782Z     return func(*args, **kwargs)
2025-08-14T21:37:30.2894963Z 
2025-08-14T21:37:30.2895121Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:30.2895767Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:30.2896294Z     return mod(*inputs)
2025-08-14T21:37:30.2896700Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:30.2897159Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:30.2897618Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:30.2898076Z     h = x + self.attention.forward(
2025-08-14T21:37:30.2898517Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:30.2899024Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:30.2899541Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-08-14T21:37:30.2900129Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-08-14T21:37:30.2900786Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:30.2901357Z     return func(*args, **kwargs)
2025-08-14T21:37:30.2901543Z 
2025-08-14T21:37:30.2901701Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:30.2902255Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:30.2902838Z     return mod(*inputs)
2025-08-14T21:37:30.2903236Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:30.2903703Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:30.2904148Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:30.2904608Z     h = x + self.attention.forward(
2025-08-14T21:37:30.2905044Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:30.2905532Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:30.2906059Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-14T21:37:30.2906618Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-14T21:37:30.2907242Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:30.2907810Z     return func(*args, **kwargs)
2025-08-14T21:37:30.2908001Z 
2025-08-14T21:37:30.2908159Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:30.2908722Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:30.2909231Z     return mod(*inputs)
2025-08-14T21:37:30.2909627Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:30.2910101Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:30.2910564Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:30.2911010Z     h = x + self.attention.forward(
2025-08-14T21:37:30.2911460Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:30.2911958Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:30.2912474Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-14T21:37:30.2913020Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-14T21:37:30.2913647Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:30.2914214Z     return func(*args, **kwargs)
2025-08-14T21:37:30.2914400Z 
2025-08-14T21:37:30.2914557Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:30.2915132Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:30.2915660Z     return mod(*inputs)
2025-08-14T21:37:30.2916038Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:30.2916509Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:30.2917050Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:30.2917520Z     h = x + self.attention.forward(
2025-08-14T21:37:30.2917956Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:30.2918460Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:30.2918990Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-14T21:37:30.2919524Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-14T21:37:30.2920153Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:30.2920720Z     return func(*args, **kwargs)
2025-08-14T21:37:30.2920902Z 
2025-08-14T21:37:30.2921067Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:30.2921635Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:30.2922154Z     return mod(*inputs)
2025-08-14T21:37:30.2922560Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:30.2923029Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:30.2925103Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:30.2925570Z     h = x + self.attention.forward(
2025-08-14T21:37:30.2926011Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:30.2926509Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:30.2927045Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-14T21:37:30.2927591Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-14T21:37:30.2928209Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:30.2928783Z     return func(*args, **kwargs)
2025-08-14T21:37:30.2928975Z 
2025-08-14T21:37:30.2929096Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2929413Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2929710Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2930079Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:30.2930654Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:30.2931167Z     return mod(*inputs)
2025-08-14T21:37:30.2931573Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:30.2932045Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:30.2932490Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:30.2932944Z     h = x + self.attention.forward(
2025-08-14T21:37:30.2933385Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:30.2933877Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:30.2934405Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-08-14T21:37:30.2934996Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-08-14T21:37:30.2935664Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:30.2936245Z     return func(*args, **kwargs)
2025-08-14T21:37:30.2936425Z 
2025-08-14T21:37:30.2936583Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:30.2937151Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:30.2937667Z     return mod(*inputs)
2025-08-14T21:37:30.2938062Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:30.2938520Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:30.2938977Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:30.2939544Z     h = x + self.attention.forward(
2025-08-14T21:37:30.2939995Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:30.2940502Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:30.2941047Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-08-14T21:37:30.2941628Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-08-14T21:37:30.2942294Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:30.2942850Z     return func(*args, **kwargs)
2025-08-14T21:37:30.2943024Z 
2025-08-14T21:37:30.2943181Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:30.2943739Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:30.2944258Z     return mod(*inputs)
2025-08-14T21:37:30.2944662Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:30.2945119Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:30.2945572Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:30.2946096Z     h = x + self.attention.forward(
2025-08-14T21:37:30.2946529Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:30.2947030Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:30.2947563Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-14T21:37:30.2948105Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-14T21:37:30.2948716Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:30.2949286Z     return func(*args, **kwargs)
2025-08-14T21:37:30.2949468Z 
2025-08-14T21:37:30.2949634Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:30.2950211Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:30.2950711Z     return mod(*inputs)
2025-08-14T21:37:30.2951117Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:30.2951581Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:30.2952024Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:30.2952478Z     h = x + self.attention.forward(
2025-08-14T21:37:30.2952915Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:30.2953402Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:30.2953933Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-14T21:37:30.2954474Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-14T21:37:30.2955098Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:30.2955657Z     return func(*args, **kwargs)
2025-08-14T21:37:30.2955850Z 
2025-08-14T21:37:30.2956004Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:30.2956580Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:30.2957092Z     return mod(*inputs)
2025-08-14T21:37:30.2957470Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:30.2957930Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:30.2958397Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:30.2958840Z     h = x + self.attention.forward(
2025-08-14T21:37:30.2959289Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:30.2959780Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:30.2960375Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-14T21:37:30.2960934Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-14T21:37:30.2961551Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:30.2962121Z     return func(*args, **kwargs)
2025-08-14T21:37:30.2962301Z 
2025-08-14T21:37:30.2962454Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:30.2963024Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:30.2963544Z     return mod(*inputs)
2025-08-14T21:37:30.2963930Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:30.2964394Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:30.2964846Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:30.2965305Z     h = x + self.attention.forward(
2025-08-14T21:37:30.2965746Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:30.2966238Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:30.2966766Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-14T21:37:30.2967370Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-14T21:37:30.2967985Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:30.2968552Z     return func(*args, **kwargs)
2025-08-14T21:37:30.2968731Z 
2025-08-14T21:37:30.2968859Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2969163Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2969479Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2969864Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2970160Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2970462Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2970781Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2971096Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2971401Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2971718Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2972022Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2972288Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2972552Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2972864Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:30.2973348Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:30.2973774Z     return mod(*inputs)
2025-08-14T21:37:30.2974111Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:30.2974501Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:30.2974895Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 197, in forward
2025-08-14T21:37:30.2975322Z     out = h + self.feed_forward.forward(self.ffn_norm(h))
2025-08-14T21:37:30.2975748Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 170, in forward
2025-08-14T21:37:30.2976151Z     return self.w2(F.silu(self.w1(x)) * self.w3(x))
2025-08-14T21:37:30.2976658Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:30.2977135Z     return func(*args, **kwargs)
2025-08-14T21:37:30.2977288Z 
2025-08-14T21:37:30.2977382Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2977645Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2977915Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2978188Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2978445Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.2978750Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:30.2979340Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:30.2979780Z     return mod(*inputs)
2025-08-14T21:37:30.2980128Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:30.2980517Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:30.2980900Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:30.2981281Z     h = x + self.attention.forward(
2025-08-14T21:37:30.2981660Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:30.2982072Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:30.2982521Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-08-14T21:37:30.2983021Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-08-14T21:37:30.2983579Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:30.2984044Z     return func(*args, **kwargs)
2025-08-14T21:37:30.2984211Z 
2025-08-14T21:37:30.2984344Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:30.2984835Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:30.2985361Z     return mod(*inputs)
2025-08-14T21:37:30.2985695Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:30.2986083Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:30.2986481Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:30.2986848Z     h = x + self.attention.forward(
2025-08-14T21:37:30.2987221Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:30.2987631Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:30.2988077Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-08-14T21:37:30.2988562Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-08-14T21:37:30.2989125Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:30.2989603Z     return func(*args, **kwargs)
2025-08-14T21:37:30.2989751Z 
2025-08-14T21:37:30.2989892Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:30.2990362Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:30.2990792Z     return mod(*inputs)
2025-08-14T21:37:30.2991132Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:30.2991513Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:30.2991892Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:30.2992271Z     h = x + self.attention.forward(
2025-08-14T21:37:30.2992635Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:30.2993046Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:30.2993484Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-14T21:37:30.2993945Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-14T21:37:30.2994450Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:30.2994930Z     return func(*args, **kwargs)
2025-08-14T21:37:30.2995084Z 
2025-08-14T21:37:30.2995221Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:30.2995693Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:30.2996092Z     return mod(*inputs)
2025-08-14T21:37:30.2996427Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:30.2996810Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:30.2997255Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:30.2997647Z     h = x + self.attention.forward(
2025-08-14T21:37:30.2998025Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:30.2998436Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:30.2998880Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-14T21:37:30.2999328Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-14T21:37:30.2999845Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:30.3000311Z     return func(*args, **kwargs)
2025-08-14T21:37:30.3000472Z 
2025-08-14T21:37:30.3000608Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:30.3001083Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:30.3001505Z     return mod(*inputs)
2025-08-14T21:37:30.3001846Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:30.3002243Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:30.3002708Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:30.3003085Z     h = x + self.attention.forward(
2025-08-14T21:37:30.3003464Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:30.3003886Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:30.3004310Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-14T21:37:30.3004761Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-14T21:37:30.3005280Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:30.3005760Z     return func(*args, **kwargs)
2025-08-14T21:37:30.3005913Z 
2025-08-14T21:37:30.3006051Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:30.3006535Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:30.3006972Z     return mod(*inputs)
2025-08-14T21:37:30.3007303Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:30.3007702Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:30.3008087Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:30.3008454Z     h = x + self.attention.forward(
2025-08-14T21:37:30.3008823Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:30.3009238Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:30.3009682Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-14T21:37:30.3010126Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-14T21:37:30.3010645Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:30.3011124Z     return func(*args, **kwargs)
2025-08-14T21:37:30.3011279Z 
2025-08-14T21:37:30.3011386Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.3011648Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.3011911Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.3012216Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:30.3012688Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:30.3013112Z     return mod(*inputs)
2025-08-14T21:37:30.3013447Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:30.3013831Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:30.3014202Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:30.3014681Z     h = x + self.attention.forward(
2025-08-14T21:37:30.3015064Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:30.3015471Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:30.3015919Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-08-14T21:37:30.3016416Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-08-14T21:37:30.3016979Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:30.3017452Z     return func(*args, **kwargs)
2025-08-14T21:37:30.3017612Z 
2025-08-14T21:37:30.3017744Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:30.3018225Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:30.3018662Z     return mod(*inputs)
2025-08-14T21:37:30.3019010Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:30.3019419Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:30.3019820Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:30.3020256Z     h = x + self.attention.forward(
2025-08-14T21:37:30.3020625Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:30.3021040Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:30.3021477Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-08-14T21:37:30.3021963Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-08-14T21:37:30.3022532Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:30.3023005Z     return func(*args, **kwargs)
2025-08-14T21:37:30.3023156Z 
2025-08-14T21:37:30.3023289Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:30.3023769Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:30.3024195Z     return mod(*inputs)
2025-08-14T21:37:30.3024527Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:30.3024917Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:30.3025294Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:30.3025675Z     h = x + self.attention.forward(
2025-08-14T21:37:30.3026030Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:30.3026436Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:30.3026879Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-14T21:37:30.3027316Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-14T21:37:30.3027833Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:30.3028305Z     return func(*args, **kwargs)
2025-08-14T21:37:30.3028453Z 
2025-08-14T21:37:30.3028595Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:30.3029071Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:30.3029507Z     return mod(*inputs)
2025-08-14T21:37:30.3029845Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:30.3030220Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:30.3030596Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:30.3030968Z     h = x + self.attention.forward(
2025-08-14T21:37:30.3031335Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:30.3031745Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:30.3032263Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-14T21:37:30.3032718Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-14T21:37:30.3033223Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:30.3033702Z     return func(*args, **kwargs)
2025-08-14T21:37:30.3033853Z 
2025-08-14T21:37:30.3033990Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:30.3034472Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:30.3034892Z     return mod(*inputs)
2025-08-14T21:37:30.3035233Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:30.3035626Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:30.3036010Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:30.3036396Z     h = x + self.attention.forward(
2025-08-14T21:37:30.3036786Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:30.3037188Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:30.3037707Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-14T21:37:30.3038163Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-14T21:37:30.3038682Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:30.3039153Z     return func(*args, **kwargs)
2025-08-14T21:37:30.3039320Z 
2025-08-14T21:37:30.3039450Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:30.3039923Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:30.3040349Z     return mod(*inputs)
2025-08-14T21:37:30.3040670Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:30.3041064Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:30.3041447Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:30.3041808Z     h = x + self.attention.forward(
2025-08-14T21:37:30.3042189Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:30.3042606Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:30.3043045Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-14T21:37:30.3043498Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-14T21:37:30.3044021Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:30.3044511Z     return func(*args, **kwargs)
2025-08-14T21:37:30.3044661Z 
2025-08-14T21:37:30.3044757Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.3045025Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.3045290Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.3045550Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.3045817Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.3046086Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.3046360Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.3046614Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.3046877Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.3047179Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:30.3047662Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:30.3048086Z     return mod(*inputs)
2025-08-14T21:37:30.3048435Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:30.3048820Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:30.3049206Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:30.3049659Z     h = x + self.attention.forward(
2025-08-14T21:37:30.3050142Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:30.3050620Z     return func(*args, **kwargs)
2025-08-14T21:37:30.3050778Z 
2025-08-14T21:37:30.3050873Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.3051145Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.3051398Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.3051665Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.3051968Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:30.3052439Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:30.3052868Z     return mod(*inputs)
2025-08-14T21:37:30.3053215Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:30.3053613Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:30.3053998Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 197, in forward
2025-08-14T21:37:30.3054415Z     out = h + self.feed_forward.forward(self.ffn_norm(h))
2025-08-14T21:37:30.3054828Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 170, in forward
2025-08-14T21:37:30.3055014Z     return self.w2(F.silu(self.w1(x)) * self.w3(x))
2025-08-14T21:37:30.3055327Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:30.3055427Z     return func(*args, **kwargs)
2025-08-14T21:37:30.3055432Z 
2025-08-14T21:37:30.3055530Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.3055636Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.3055730Z cudagraph partition due to non gpu ops
2025-08-14T21:37:30.3055860Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:30.3056134Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:30.3056209Z     return mod(*inputs)
2025-08-14T21:37:30.3056420Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 244, in forward
2025-08-14T21:37:30.3056586Z     output = self.output(h[:, -1, :])  # only compute last logits
2025-08-14T21:37:30.3056912Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:30.3057001Z     return func(*args, **kwargs)
2025-08-14T21:37:30.3057005Z 
2025-08-14T21:37:30.3057131Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:30.3057388Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:30.3057474Z     return mod(*inputs)
2025-08-14T21:37:30.3057678Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 244, in forward
2025-08-14T21:37:30.3057845Z     output = self.output(h[:, -1, :])  # only compute last logits
2025-08-14T21:37:30.3058152Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:30.3058235Z     return func(*args, **kwargs)
2025-08-14T21:37:30.3058239Z 
2025-08-14T21:37:30.3058381Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:30.3058644Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:30.3058720Z     return mod(*inputs)
2025-08-14T21:37:30.3058933Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 244, in forward
2025-08-14T21:37:30.3059080Z     output = self.output(h[:, -1, :])  # only compute last logits
2025-08-14T21:37:30.3059390Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:30.3059474Z     return func(*args, **kwargs)
2025-08-14T21:37:30.3059478Z 
2025-08-14T21:37:30.3059606Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:30.3059866Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:30.3060012Z     return mod(*inputs)
2025-08-14T21:37:30.3060227Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 245, in forward
2025-08-14T21:37:30.3060330Z     return output.float()
2025-08-14T21:37:30.3060629Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:30.3060718Z     return func(*args, **kwargs)
2025-08-14T21:37:30.3060722Z 
2025-08-14T21:37:49.2846243Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.2846673Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.2847021Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.2847421Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:49.2848041Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:49.2848555Z     return mod(*inputs)
2025-08-14T21:37:49.2849023Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:49.2849500Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:49.2850000Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:49.2850895Z     h = x + self.attention.forward(
2025-08-14T21:37:49.2851339Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:49.2851849Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:49.2852412Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-08-14T21:37:49.2853040Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-08-14T21:37:49.2853744Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:49.2854344Z     return func(*args, **kwargs)
2025-08-14T21:37:49.2854550Z 
2025-08-14T21:37:49.2854705Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:49.2855308Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:49.2855829Z     return mod(*inputs)
2025-08-14T21:37:49.2856245Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:49.2856725Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:49.2857167Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:49.2857629Z     h = x + self.attention.forward(
2025-08-14T21:37:49.2858088Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:49.2858582Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:49.2859113Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-08-14T21:37:49.2859691Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-08-14T21:37:49.2860398Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:49.2860982Z     return func(*args, **kwargs)
2025-08-14T21:37:49.2861181Z 
2025-08-14T21:37:49.2861341Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:49.2861937Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:49.2862454Z     return mod(*inputs)
2025-08-14T21:37:49.2862857Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:49.2863330Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:49.2863815Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:49.2864278Z     h = x + self.attention.forward(
2025-08-14T21:37:49.2864717Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:49.2865203Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:49.2865870Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-14T21:37:49.2866429Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-14T21:37:49.2867061Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:49.2867646Z     return func(*args, **kwargs)
2025-08-14T21:37:49.2867824Z 
2025-08-14T21:37:49.2867993Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:49.2868570Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:49.2869092Z     return mod(*inputs)
2025-08-14T21:37:49.2869498Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:49.2870036Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:49.2870507Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:49.2870970Z     h = x + self.attention.forward(
2025-08-14T21:37:49.2871423Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:49.2871929Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:49.2872562Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-14T21:37:49.2873100Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-14T21:37:49.2873722Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:49.2874296Z     return func(*args, **kwargs)
2025-08-14T21:37:49.2874699Z 
2025-08-14T21:37:49.2874861Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:49.2875437Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:49.2875917Z     return mod(*inputs)
2025-08-14T21:37:49.2876323Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:49.2876811Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:49.2877285Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:49.2877753Z     h = x + self.attention.forward(
2025-08-14T21:37:49.2878206Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:49.2878697Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:49.2879244Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-14T21:37:49.2879783Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-14T21:37:49.2880415Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:49.2880976Z     return func(*args, **kwargs)
2025-08-14T21:37:49.2881174Z 
2025-08-14T21:37:49.2881329Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:49.2881890Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:49.2882401Z     return mod(*inputs)
2025-08-14T21:37:49.2882811Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:49.2883274Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:49.2883739Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:49.2884165Z     h = x + self.attention.forward(
2025-08-14T21:37:49.2884632Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:49.2885127Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:49.2885650Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-14T21:37:49.2886204Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-14T21:37:49.2886839Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:49.2887536Z     return func(*args, **kwargs)
2025-08-14T21:37:49.2887723Z 
2025-08-14T21:37:49.2887846Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.2888191Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.2888530Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.2888890Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:49.2889464Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:49.2889971Z     return mod(*inputs)
2025-08-14T21:37:49.2890379Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:49.2890826Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:49.2891296Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:49.2891735Z     h = x + self.attention.forward(
2025-08-14T21:37:49.2892175Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:49.2892676Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:49.2893208Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-08-14T21:37:49.2893879Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-08-14T21:37:49.2894558Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:49.2895132Z     return func(*args, **kwargs)
2025-08-14T21:37:49.2895319Z 
2025-08-14T21:37:49.2895491Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:49.2896070Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:49.2896598Z     return mod(*inputs)
2025-08-14T21:37:49.2896999Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:49.2897463Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:49.2897906Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:49.2898318Z     h = x + self.attention.forward(
2025-08-14T21:37:49.2898710Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:49.2899140Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:49.2899614Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-08-14T21:37:49.2900218Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-08-14T21:37:49.2900918Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:49.2901508Z     return func(*args, **kwargs)
2025-08-14T21:37:49.2901715Z 
2025-08-14T21:37:49.2901883Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:49.2902481Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:49.2903007Z     return mod(*inputs)
2025-08-14T21:37:49.2903409Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:49.2903847Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:49.2904254Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:49.2904677Z     h = x + self.attention.forward(
2025-08-14T21:37:49.2905102Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:49.2905571Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:49.2906078Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-14T21:37:49.2906612Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-14T21:37:49.2907233Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:49.2907798Z     return func(*args, **kwargs)
2025-08-14T21:37:49.2907983Z 
2025-08-14T21:37:49.2908257Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:49.2908832Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:49.2909348Z     return mod(*inputs)
2025-08-14T21:37:49.2909743Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:49.2910203Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:49.2910669Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:49.2911117Z     h = x + self.attention.forward(
2025-08-14T21:37:49.2911528Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:49.2912031Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:49.2912539Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-14T21:37:49.2913067Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-14T21:37:49.2913684Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:49.2914245Z     return func(*args, **kwargs)
2025-08-14T21:37:49.2914500Z 
2025-08-14T21:37:49.2914660Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:49.2915221Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:49.2915707Z     return mod(*inputs)
2025-08-14T21:37:49.2916077Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:49.2916516Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:49.2916955Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:49.2917396Z     h = x + self.attention.forward(
2025-08-14T21:37:49.2917816Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:49.2918299Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:49.2918820Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-14T21:37:49.2919328Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-14T21:37:49.2919938Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:49.2920487Z     return func(*args, **kwargs)
2025-08-14T21:37:49.2920663Z 
2025-08-14T21:37:49.2920828Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:49.2921379Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:49.2921881Z     return mod(*inputs)
2025-08-14T21:37:49.2922274Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:49.2922723Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:49.2923165Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:49.2923622Z     h = x + self.attention.forward(
2025-08-14T21:37:49.2924073Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:49.2924573Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:49.2925111Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-14T21:37:49.2925662Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-14T21:37:49.2926307Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:49.2926899Z     return func(*args, **kwargs)
2025-08-14T21:37:49.2927093Z 
2025-08-14T21:37:49.2927216Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.2927556Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.2927879Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.2928209Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.2928531Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.2929019Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.2929347Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.2929670Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.2929988Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.2930312Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.2930635Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.2930946Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.2931276Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.2931649Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:49.2932251Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:49.2932783Z     return mod(*inputs)
2025-08-14T21:37:49.2933218Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:49.2933706Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:49.2934176Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 197, in forward
2025-08-14T21:37:49.2934688Z     out = h + self.feed_forward.forward(self.ffn_norm(h))
2025-08-14T21:37:49.2935196Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 170, in forward
2025-08-14T21:37:49.2935798Z     return self.w2(F.silu(self.w1(x)) * self.w3(x))
2025-08-14T21:37:49.2936430Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:49.2937029Z     return func(*args, **kwargs)
2025-08-14T21:37:49.2937224Z 
2025-08-14T21:37:49.2937354Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.2937680Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.2938007Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.2938329Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.2938653Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.2939023Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:49.2939629Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:49.2940170Z     return mod(*inputs)
2025-08-14T21:37:49.2940581Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:49.2941071Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:49.2941553Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:49.2942018Z     h = x + self.attention.forward(
2025-08-14T21:37:49.2942480Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:49.2942991Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:49.2943538Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-08-14T21:37:49.2944151Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-08-14T21:37:49.2944857Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:49.2945463Z     return func(*args, **kwargs)
2025-08-14T21:37:49.2945658Z 
2025-08-14T21:37:49.2945831Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:49.2946441Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:49.2946982Z     return mod(*inputs)
2025-08-14T21:37:49.2947403Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:49.2947885Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:49.2948370Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:49.2948837Z     h = x + self.attention.forward(
2025-08-14T21:37:49.2949292Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:49.2949819Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:49.2950481Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-08-14T21:37:49.2951091Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-08-14T21:37:49.2951781Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:49.2952390Z     return func(*args, **kwargs)
2025-08-14T21:37:49.2952588Z 
2025-08-14T21:37:49.2952762Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:49.2953361Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:49.2953900Z     return mod(*inputs)
2025-08-14T21:37:49.2954322Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:49.2954806Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:49.2955276Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:49.2955752Z     h = x + self.attention.forward(
2025-08-14T21:37:49.2956227Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:49.2956732Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:49.2957392Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-14T21:37:49.2957961Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-14T21:37:49.2958618Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:49.2959203Z     return func(*args, **kwargs)
2025-08-14T21:37:49.2959405Z 
2025-08-14T21:37:49.2959568Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:49.2960167Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:49.2960700Z     return mod(*inputs)
2025-08-14T21:37:49.2961122Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:49.2961604Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:49.2962076Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:49.2962545Z     h = x + self.attention.forward(
2025-08-14T21:37:49.2963018Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:49.2963532Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:49.2964073Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-14T21:37:49.2964637Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-14T21:37:49.2965281Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:49.2965871Z     return func(*args, **kwargs)
2025-08-14T21:37:49.2966061Z 
2025-08-14T21:37:49.2966227Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:49.2966832Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:49.2967368Z     return mod(*inputs)
2025-08-14T21:37:49.2967782Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:49.2968270Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:49.2968752Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:49.2969224Z     h = x + self.attention.forward(
2025-08-14T21:37:49.2969735Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:49.2970246Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:49.2970769Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-14T21:37:49.2971323Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-14T21:37:49.2971961Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:49.2972742Z     return func(*args, **kwargs)
2025-08-14T21:37:49.2972938Z 
2025-08-14T21:37:49.2973122Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:49.2973728Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:49.2974280Z     return mod(*inputs)
2025-08-14T21:37:49.2974700Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:49.2975182Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:49.2975670Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:49.2976151Z     h = x + self.attention.forward(
2025-08-14T21:37:49.2976620Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:49.2977137Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:49.2977693Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-14T21:37:49.2978262Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-14T21:37:49.2978907Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:49.2979607Z     return func(*args, **kwargs)
2025-08-14T21:37:49.2979804Z 
2025-08-14T21:37:49.2979929Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.2980268Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.2980581Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.2980957Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:49.2981558Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:49.2982086Z     return mod(*inputs)
2025-08-14T21:37:49.2982508Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:49.2982990Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:49.2983461Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:49.2983935Z     h = x + self.attention.forward(
2025-08-14T21:37:49.2984397Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:49.2984917Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:49.2985463Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-08-14T21:37:49.2986082Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-08-14T21:37:49.2986786Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:49.2987390Z     return func(*args, **kwargs)
2025-08-14T21:37:49.2987582Z 
2025-08-14T21:37:49.2987745Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:49.2988343Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:49.2988874Z     return mod(*inputs)
2025-08-14T21:37:49.2989289Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:49.2989784Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:49.2990275Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:49.2990736Z     h = x + self.attention.forward(
2025-08-14T21:37:49.2991198Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:49.2991709Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:49.2992261Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-08-14T21:37:49.2992864Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-08-14T21:37:49.2993568Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:49.2994166Z     return func(*args, **kwargs)
2025-08-14T21:37:49.2994360Z 
2025-08-14T21:37:49.2994641Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:49.2995237Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:49.2995780Z     return mod(*inputs)
2025-08-14T21:37:49.2996206Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:49.2996689Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:49.2997183Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:49.2997656Z     h = x + self.attention.forward(
2025-08-14T21:37:49.2998123Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:49.2998642Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:49.2999194Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-14T21:37:49.2999756Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-14T21:37:49.3000397Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:49.3000992Z     return func(*args, **kwargs)
2025-08-14T21:37:49.3003462Z 
2025-08-14T21:37:49.3003649Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:49.3004255Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:49.3004789Z     return mod(*inputs)
2025-08-14T21:37:49.3005215Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:49.3005705Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:49.3006174Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:49.3006647Z     h = x + self.attention.forward(
2025-08-14T21:37:49.3007112Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:49.3007647Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:49.3008212Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-14T21:37:49.3008781Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-14T21:37:49.3009432Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:49.3010022Z     return func(*args, **kwargs)
2025-08-14T21:37:49.3010220Z 
2025-08-14T21:37:49.3010386Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:49.3010986Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:49.3011534Z     return mod(*inputs)
2025-08-14T21:37:49.3011954Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:49.3012431Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:49.3012910Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:49.3013384Z     h = x + self.attention.forward(
2025-08-14T21:37:49.3013855Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:49.3014370Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:49.3014922Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-14T21:37:49.3015491Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-14T21:37:49.3016138Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:49.3016737Z     return func(*args, **kwargs)
2025-08-14T21:37:49.3016928Z 
2025-08-14T21:37:49.3017089Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:49.3017691Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:49.3018228Z     return mod(*inputs)
2025-08-14T21:37:49.3018721Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:49.3019205Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:49.3019692Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:49.3020175Z     h = x + self.attention.forward(
2025-08-14T21:37:49.3020625Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:49.3021140Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:49.3021680Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-14T21:37:49.3022234Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-14T21:37:49.3022888Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:49.3023481Z     return func(*args, **kwargs)
2025-08-14T21:37:49.3023673Z 
2025-08-14T21:37:49.3023807Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3024146Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3024486Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3024814Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3025193Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3025522Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3025853Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3026177Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3026509Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3026841Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3027163Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3027478Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3027806Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3028188Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:49.3028782Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:49.3029320Z     return mod(*inputs)
2025-08-14T21:37:49.3029743Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:49.3030230Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:49.3030718Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 197, in forward
2025-08-14T21:37:49.3031247Z     out = h + self.feed_forward.forward(self.ffn_norm(h))
2025-08-14T21:37:49.3031764Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 170, in forward
2025-08-14T21:37:49.3032257Z     return self.w2(F.silu(self.w1(x)) * self.w3(x))
2025-08-14T21:37:49.3032903Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:49.3033507Z     return func(*args, **kwargs)
2025-08-14T21:37:49.3033696Z 
2025-08-14T21:37:49.3033814Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3034149Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3034478Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3034819Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3035143Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3035516Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:49.3036131Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:49.3036653Z     return mod(*inputs)
2025-08-14T21:37:49.3037081Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:49.3037568Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:49.3038042Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:49.3038519Z     h = x + self.attention.forward(
2025-08-14T21:37:49.3038997Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:49.3039511Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:49.3040154Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-08-14T21:37:49.3040768Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-08-14T21:37:49.3041480Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:49.3042073Z     return func(*args, **kwargs)
2025-08-14T21:37:49.3042277Z 
2025-08-14T21:37:49.3042444Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:49.3043044Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:49.3043583Z     return mod(*inputs)
2025-08-14T21:37:49.3043989Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:49.3044479Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:49.3044962Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:49.3045426Z     h = x + self.attention.forward(
2025-08-14T21:37:49.3045894Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:49.3046415Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:49.3047045Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-08-14T21:37:49.3047654Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-08-14T21:37:49.3048367Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:49.3048958Z     return func(*args, **kwargs)
2025-08-14T21:37:49.3049155Z 
2025-08-14T21:37:49.3049327Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:49.3049909Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:49.3055484Z     return mod(*inputs)
2025-08-14T21:37:49.3055927Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:49.3056440Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:49.3056933Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:49.3057424Z     h = x + self.attention.forward(
2025-08-14T21:37:49.3057890Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:49.3058414Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:49.3058958Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-14T21:37:49.3059508Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-14T21:37:49.3060160Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:49.3060765Z     return func(*args, **kwargs)
2025-08-14T21:37:49.3060958Z 
2025-08-14T21:37:49.3061178Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:49.3061800Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:49.3062342Z     return mod(*inputs)
2025-08-14T21:37:49.3062751Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:49.3063245Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:49.3063721Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:49.3064193Z     h = x + self.attention.forward(
2025-08-14T21:37:49.3064664Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:49.3065178Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:49.3065729Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-14T21:37:49.3066287Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-14T21:37:49.3066944Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:49.3067661Z     return func(*args, **kwargs)
2025-08-14T21:37:49.3067859Z 
2025-08-14T21:37:49.3068027Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:49.3068647Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:49.3069186Z     return mod(*inputs)
2025-08-14T21:37:49.3069682Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:49.3070176Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:49.3070670Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:49.3071153Z     h = x + self.attention.forward(
2025-08-14T21:37:49.3071626Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:49.3072295Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:49.3072897Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-14T21:37:49.3073426Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-14T21:37:49.3074043Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:49.3074726Z     return func(*args, **kwargs)
2025-08-14T21:37:49.3074904Z 
2025-08-14T21:37:49.3075131Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:49.3075727Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:49.3076253Z     return mod(*inputs)
2025-08-14T21:37:49.3076679Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:49.3077180Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:49.3077650Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:49.3078269Z     h = x + self.attention.forward(
2025-08-14T21:37:49.3078727Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:49.3079246Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:49.3079807Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-14T21:37:49.3080370Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-14T21:37:49.3081017Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:49.3081604Z     return func(*args, **kwargs)
2025-08-14T21:37:49.3081805Z 
2025-08-14T21:37:49.3081931Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3082271Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3082589Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3082966Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:49.3083570Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:49.3084111Z     return mod(*inputs)
2025-08-14T21:37:49.3084526Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:49.3085013Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:49.3085501Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:49.3085975Z     h = x + self.attention.forward(
2025-08-14T21:37:49.3086435Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:49.3086945Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:49.3087492Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-08-14T21:37:49.3088111Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-08-14T21:37:49.3088812Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:49.3089412Z     return func(*args, **kwargs)
2025-08-14T21:37:49.3089605Z 
2025-08-14T21:37:49.3089911Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:49.3090512Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:49.3091050Z     return mod(*inputs)
2025-08-14T21:37:49.3091477Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:49.3091958Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:49.3092435Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:49.3092907Z     h = x + self.attention.forward(
2025-08-14T21:37:49.3093364Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:49.3093884Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:49.3094446Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-08-14T21:37:49.3095066Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-08-14T21:37:49.3095763Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:49.3096355Z     return func(*args, **kwargs)
2025-08-14T21:37:49.3096583Z 
2025-08-14T21:37:49.3096757Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:49.3097348Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:49.3097877Z     return mod(*inputs)
2025-08-14T21:37:49.3098305Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:49.3098785Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:49.3099260Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:49.3099726Z     h = x + self.attention.forward(
2025-08-14T21:37:49.3100192Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:49.3100747Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:49.3101314Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-14T21:37:49.3101887Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-14T21:37:49.3102548Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:49.3103137Z     return func(*args, **kwargs)
2025-08-14T21:37:49.3103339Z 
2025-08-14T21:37:49.3103504Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:49.3104114Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:49.3104646Z     return mod(*inputs)
2025-08-14T21:37:49.3105070Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:49.3105560Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:49.3106043Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:49.3106512Z     h = x + self.attention.forward(
2025-08-14T21:37:49.3107000Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:49.3107521Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:49.3108075Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-14T21:37:49.3108638Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-14T21:37:49.3109289Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:49.3109890Z     return func(*args, **kwargs)
2025-08-14T21:37:49.3110081Z 
2025-08-14T21:37:49.3110260Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:49.3110864Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:49.3111397Z     return mod(*inputs)
2025-08-14T21:37:49.3111899Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:49.3112371Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:49.3112859Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:49.3113340Z     h = x + self.attention.forward(
2025-08-14T21:37:49.3113790Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:49.3114303Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:49.3114857Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-14T21:37:49.3115416Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-14T21:37:49.3116057Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:49.3116652Z     return func(*args, **kwargs)
2025-08-14T21:37:49.3116850Z 
2025-08-14T21:37:49.3117030Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:49.3117617Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:49.3118151Z     return mod(*inputs)
2025-08-14T21:37:49.3118607Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:49.3119091Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:49.3119565Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:49.3120035Z     h = x + self.attention.forward(
2025-08-14T21:37:49.3120510Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:49.3121012Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:49.3121563Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-14T21:37:49.3122120Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-14T21:37:49.3122818Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:49.3123397Z     return func(*args, **kwargs)
2025-08-14T21:37:49.3123596Z 
2025-08-14T21:37:49.3123720Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3124067Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3124395Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3124722Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3125051Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3125375Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3125693Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3126019Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3126348Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3126662Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3126990Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3127322Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3127641Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3128026Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:49.3128637Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:49.3129171Z     return mod(*inputs)
2025-08-14T21:37:49.3129600Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:49.3130094Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:49.3130580Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 197, in forward
2025-08-14T21:37:49.3131102Z     out = h + self.feed_forward.forward(self.ffn_norm(h))
2025-08-14T21:37:49.3131613Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 170, in forward
2025-08-14T21:37:49.3132119Z     return self.w2(F.silu(self.w1(x)) * self.w3(x))
2025-08-14T21:37:49.3132748Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:49.3133353Z     return func(*args, **kwargs)
2025-08-14T21:37:49.3133625Z 
2025-08-14T21:37:49.3133744Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3134082Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3134407Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3134739Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3135077Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3135441Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:49.3136045Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:49.3136585Z     return mod(*inputs)
2025-08-14T21:37:49.3137004Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:49.3137485Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:49.3137971Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:49.3138450Z     h = x + self.attention.forward(
2025-08-14T21:37:49.3138910Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:49.3139424Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:49.3140011Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-08-14T21:37:49.3140621Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-08-14T21:37:49.3141333Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:49.3141932Z     return func(*args, **kwargs)
2025-08-14T21:37:49.3142127Z 
2025-08-14T21:37:49.3142297Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:49.3142891Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:49.3143430Z     return mod(*inputs)
2025-08-14T21:37:49.3143896Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:49.3144372Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:49.3144855Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:49.3145335Z     h = x + self.attention.forward(
2025-08-14T21:37:49.3145805Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:49.3146304Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:49.3146856Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-08-14T21:37:49.3147470Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-08-14T21:37:49.3148153Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:49.3148739Z     return func(*args, **kwargs)
2025-08-14T21:37:49.3148951Z 
2025-08-14T21:37:49.3149118Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:49.3149728Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:49.3150246Z     return mod(*inputs)
2025-08-14T21:37:49.3150664Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:49.3151151Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:49.3151616Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:49.3152088Z     h = x + self.attention.forward(
2025-08-14T21:37:49.3152551Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:49.3153073Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:49.3153613Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-14T21:37:49.3154173Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-14T21:37:49.3154820Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:49.3155469Z     return func(*args, **kwargs)
2025-08-14T21:37:49.3155670Z 
2025-08-14T21:37:49.3155836Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:49.3156429Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:49.3156961Z     return mod(*inputs)
2025-08-14T21:37:49.3157376Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:49.3157865Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:49.3158351Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:49.3158821Z     h = x + self.attention.forward(
2025-08-14T21:37:49.3159288Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:49.3159801Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:49.3160354Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-14T21:37:49.3160912Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-14T21:37:49.3161553Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:49.3162184Z     return func(*args, **kwargs)
2025-08-14T21:37:49.3162374Z 
2025-08-14T21:37:49.3162532Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:49.3163130Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:49.3163663Z     return mod(*inputs)
2025-08-14T21:37:49.3164078Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:49.3164550Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:49.3165033Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:49.3165547Z     h = x + self.attention.forward(
2025-08-14T21:37:49.3166007Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:49.3166523Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:49.3167069Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-14T21:37:49.3167632Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-14T21:37:49.3168265Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:49.3168852Z     return func(*args, **kwargs)
2025-08-14T21:37:49.3169042Z 
2025-08-14T21:37:49.3169219Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:49.3169869Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:49.3170410Z     return mod(*inputs)
2025-08-14T21:37:49.3170839Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:49.3171337Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:49.3171819Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:49.3172301Z     h = x + self.attention.forward(
2025-08-14T21:37:49.3172764Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:49.3173271Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:49.3173823Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-14T21:37:49.3174386Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-14T21:37:49.3175051Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:49.3175641Z     return func(*args, **kwargs)
2025-08-14T21:37:49.3175844Z 
2025-08-14T21:37:49.3175968Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3176311Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3176646Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3177190Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:49.3177801Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:49.3178340Z     return mod(*inputs)
2025-08-14T21:37:49.3178759Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:49.3179241Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:49.3179708Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:49.3180173Z     h = x + self.attention.forward(
2025-08-14T21:37:49.3180651Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:49.3181169Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:49.3181709Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-08-14T21:37:49.3182313Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-08-14T21:37:49.3183018Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:49.3183605Z     return func(*args, **kwargs)
2025-08-14T21:37:49.3183864Z 
2025-08-14T21:37:49.3184029Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:49.3184632Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:49.3185170Z     return mod(*inputs)
2025-08-14T21:37:49.3185600Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:49.3186086Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:49.3186561Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:49.3187034Z     h = x + self.attention.forward(
2025-08-14T21:37:49.3187491Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:49.3188069Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:49.3188626Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-08-14T21:37:49.3189230Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-08-14T21:37:49.3189940Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:49.3190536Z     return func(*args, **kwargs)
2025-08-14T21:37:49.3190729Z 
2025-08-14T21:37:49.3190904Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:49.3191498Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:49.3192034Z     return mod(*inputs)
2025-08-14T21:37:49.3192450Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:49.3192928Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:49.3193406Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:49.3193887Z     h = x + self.attention.forward(
2025-08-14T21:37:49.3194350Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:49.3194854Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:49.3195414Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-14T21:37:49.3195986Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-14T21:37:49.3196634Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:49.3197223Z     return func(*args, **kwargs)
2025-08-14T21:37:49.3197426Z 
2025-08-14T21:37:49.3197593Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:49.3198196Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:49.3198726Z     return mod(*inputs)
2025-08-14T21:37:49.3199210Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:49.3199702Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:49.3200193Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:49.3200662Z     h = x + self.attention.forward(
2025-08-14T21:37:49.3201143Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:49.3201661Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:49.3202207Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-14T21:37:49.3202777Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-14T21:37:49.3203426Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:49.3204027Z     return func(*args, **kwargs)
2025-08-14T21:37:49.3204221Z 
2025-08-14T21:37:49.3204385Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:49.3204992Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:49.3205530Z     return mod(*inputs)
2025-08-14T21:37:49.3205983Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:49.3206474Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:49.3206951Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:49.3207418Z     h = x + self.attention.forward(
2025-08-14T21:37:49.3207884Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:49.3208403Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:49.3208952Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-14T21:37:49.3209541Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-14T21:37:49.3210194Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:49.3210787Z     return func(*args, **kwargs)
2025-08-14T21:37:49.3210976Z 
2025-08-14T21:37:49.3211153Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:49.3211747Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:49.3212288Z     return mod(*inputs)
2025-08-14T21:37:49.3212705Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:49.3213181Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:49.3213658Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:49.3214136Z     h = x + self.attention.forward(
2025-08-14T21:37:49.3214590Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:49.3215103Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:49.3215652Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-14T21:37:49.3216208Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-14T21:37:49.3216854Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:49.3217451Z     return func(*args, **kwargs)
2025-08-14T21:37:49.3217638Z 
2025-08-14T21:37:49.3217771Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3218104Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3218448Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3218772Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3219097Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3219421Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3219756Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3220089Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3220409Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3220852Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:49.3221454Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:49.3221985Z     return mod(*inputs)
2025-08-14T21:37:49.3222406Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:49.3222898Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:49.3223382Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:49.3223849Z     h = x + self.attention.forward(
2025-08-14T21:37:49.3224438Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:49.3225039Z     return func(*args, **kwargs)
2025-08-14T21:37:49.3225230Z 
2025-08-14T21:37:49.3225351Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3225685Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3226016Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3226346Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3226717Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:49.3227326Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:49.3227903Z     return mod(*inputs)
2025-08-14T21:37:49.3228322Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:49.3228812Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:49.3229290Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 197, in forward
2025-08-14T21:37:49.3229801Z     out = h + self.feed_forward.forward(self.ffn_norm(h))
2025-08-14T21:37:49.3230323Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 170, in forward
2025-08-14T21:37:49.3230831Z     return self.w2(F.silu(self.w1(x)) * self.w3(x))
2025-08-14T21:37:49.3231515Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:49.3232099Z     return func(*args, **kwargs)
2025-08-14T21:37:49.3232298Z 
2025-08-14T21:37:49.3232423Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3232753Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3233079Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3233413Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3233742Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3234121Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:49.3234722Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:49.3235263Z     return mod(*inputs)
2025-08-14T21:37:49.3235699Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:49.3236178Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:49.3236665Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:49.3237160Z     h = x + self.attention.forward(
2025-08-14T21:37:49.3237624Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:49.3238151Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:49.3238713Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-08-14T21:37:49.3239342Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-08-14T21:37:49.3240053Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:49.3240664Z     return func(*args, **kwargs)
2025-08-14T21:37:49.3240860Z 
2025-08-14T21:37:49.3241038Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:49.3241638Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:49.3242162Z     return mod(*inputs)
2025-08-14T21:37:49.3242677Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:49.3243168Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:49.3243644Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:49.3244118Z     h = x + self.attention.forward(
2025-08-14T21:37:49.3244588Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:49.3245097Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:49.3245660Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-08-14T21:37:49.3246266Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-08-14T21:37:49.3246971Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:49.3247572Z     return func(*args, **kwargs)
2025-08-14T21:37:49.3247777Z 
2025-08-14T21:37:49.3247944Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:49.3248551Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:49.3249082Z     return mod(*inputs)
2025-08-14T21:37:49.3249548Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:49.3250026Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:49.3250504Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:49.3250970Z     h = x + self.attention.forward(
2025-08-14T21:37:49.3251445Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:49.3251969Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:49.3252507Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-14T21:37:49.3253145Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-14T21:37:49.3253798Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:49.3254388Z     return func(*args, **kwargs)
2025-08-14T21:37:49.3254581Z 
2025-08-14T21:37:49.3254750Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:49.3255353Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:49.3255887Z     return mod(*inputs)
2025-08-14T21:37:49.3256307Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:49.3256795Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:49.3257270Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:49.3257742Z     h = x + self.attention.forward(
2025-08-14T21:37:49.3258200Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:49.3258715Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:49.3259265Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-14T21:37:49.3259821Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-14T21:37:49.3260475Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:49.3261070Z     return func(*args, **kwargs)
2025-08-14T21:37:49.3261263Z 
2025-08-14T21:37:49.3261436Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:49.3262027Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:49.3262558Z     return mod(*inputs)
2025-08-14T21:37:49.3262982Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:49.3263462Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:49.3263941Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:49.3264414Z     h = x + self.attention.forward(
2025-08-14T21:37:49.3264944Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:49.3265461Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:49.3266015Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-14T21:37:49.3266576Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-14T21:37:49.3267216Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:49.3267815Z     return func(*args, **kwargs)
2025-08-14T21:37:49.3268026Z 
2025-08-14T21:37:49.3268193Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:49.3268792Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:49.3269320Z     return mod(*inputs)
2025-08-14T21:37:49.3269805Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:49.3270302Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:49.3270768Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:49.3271241Z     h = x + self.attention.forward(
2025-08-14T21:37:49.3271776Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:49.3272298Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:49.3272844Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-14T21:37:49.3273402Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-14T21:37:49.3274056Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:49.3274641Z     return func(*args, **kwargs)
2025-08-14T21:37:49.3274839Z 
2025-08-14T21:37:49.3275023Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3275358Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3275701Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3276074Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:49.3276687Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:49.3277230Z     return mod(*inputs)
2025-08-14T21:37:49.3277645Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:49.3278136Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:49.3278618Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:49.3279103Z     h = x + self.attention.forward(
2025-08-14T21:37:49.3279567Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:49.3280093Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:49.3280650Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-08-14T21:37:49.3281253Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-08-14T21:37:49.3281968Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:49.3282572Z     return func(*args, **kwargs)
2025-08-14T21:37:49.3282765Z 
2025-08-14T21:37:49.3282938Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:49.3283531Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:49.3284072Z     return mod(*inputs)
2025-08-14T21:37:49.3284494Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:49.3284969Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:49.3285446Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:49.3285923Z     h = x + self.attention.forward(
2025-08-14T21:37:49.3286390Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:49.3286993Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:49.3287545Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-08-14T21:37:49.3288157Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-08-14T21:37:49.3288859Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:49.3289456Z     return func(*args, **kwargs)
2025-08-14T21:37:49.3289651Z 
2025-08-14T21:37:49.3289829Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:49.3290428Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:49.3290945Z     return mod(*inputs)
2025-08-14T21:37:49.3291370Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:49.3291862Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:49.3292338Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:49.3292819Z     h = x + self.attention.forward(
2025-08-14T21:37:49.3293284Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:49.3293825Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:49.3294370Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-14T21:37:49.3294940Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-14T21:37:49.3295605Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:49.3296196Z     return func(*args, **kwargs)
2025-08-14T21:37:49.3296397Z 
2025-08-14T21:37:49.3296567Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:49.3297221Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:49.3297769Z     return mod(*inputs)
2025-08-14T21:37:49.3298200Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:49.3298698Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:49.3299193Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:49.3299675Z     h = x + self.attention.forward(
2025-08-14T21:37:49.3300138Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:49.3300663Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:49.3301233Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-14T21:37:49.3301803Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-14T21:37:49.3302452Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:49.3303058Z     return func(*args, **kwargs)
2025-08-14T21:37:49.3303254Z 
2025-08-14T21:37:49.3303430Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:49.3304039Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:49.3304577Z     return mod(*inputs)
2025-08-14T21:37:49.3305008Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:49.3305488Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:49.3305981Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:49.3306457Z     h = x + self.attention.forward(
2025-08-14T21:37:49.3306917Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:49.3307443Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:49.3308013Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-14T21:37:49.3308579Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-14T21:37:49.3309297Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:49.3309892Z     return func(*args, **kwargs)
2025-08-14T21:37:49.3310091Z 
2025-08-14T21:37:49.3310265Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:49.3310857Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:49.3311396Z     return mod(*inputs)
2025-08-14T21:37:49.3311825Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:49.3312305Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:49.3312780Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:49.3313262Z     h = x + self.attention.forward(
2025-08-14T21:37:49.3313728Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:49.3314245Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:49.3314809Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-14T21:37:49.3315369Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-14T21:37:49.3316041Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:49.3316636Z     return func(*args, **kwargs)
2025-08-14T21:37:49.3316831Z 
2025-08-14T21:37:49.3316954Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3317295Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3317627Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3317964Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3318297Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3318614Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3318979Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3319309Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3319637Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3319972Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3320299Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3320629Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3320946Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3321327Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:49.3321935Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:49.3322466Z     return mod(*inputs)
2025-08-14T21:37:49.3322885Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:49.3323377Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:49.3323854Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 197, in forward
2025-08-14T21:37:49.3324386Z     out = h + self.feed_forward.forward(self.ffn_norm(h))
2025-08-14T21:37:49.3324906Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 170, in forward
2025-08-14T21:37:49.3325409Z     return self.w2(F.silu(self.w1(x)) * self.w3(x))
2025-08-14T21:37:49.3326034Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:49.3326634Z     return func(*args, **kwargs)
2025-08-14T21:37:49.3326822Z 
2025-08-14T21:37:49.3326950Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3327276Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3327609Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3327932Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3328256Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3328620Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:49.3329214Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:49.3329747Z     return mod(*inputs)
2025-08-14T21:37:49.3330225Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:49.3330720Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:49.3331203Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:49.3331677Z     h = x + self.attention.forward(
2025-08-14T21:37:49.3332138Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:49.3332657Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:49.3333216Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-08-14T21:37:49.3333829Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-08-14T21:37:49.3334529Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:49.3335121Z     return func(*args, **kwargs)
2025-08-14T21:37:49.3335319Z 
2025-08-14T21:37:49.3335496Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:49.3336097Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:49.3366045Z     return mod(*inputs)
2025-08-14T21:37:49.3366755Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:49.3367284Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:49.3367775Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:49.3368263Z     h = x + self.attention.forward(
2025-08-14T21:37:49.3368730Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:49.3369269Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:49.3369883Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-08-14T21:37:49.3370606Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-08-14T21:37:49.3371340Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:49.3371946Z     return func(*args, **kwargs)
2025-08-14T21:37:49.3372144Z 
2025-08-14T21:37:49.3372325Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:49.3372937Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:49.3373494Z     return mod(*inputs)
2025-08-14T21:37:49.3373932Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:49.3374415Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:49.3374900Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:49.3375378Z     h = x + self.attention.forward(
2025-08-14T21:37:49.3375844Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:49.3376358Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:49.3376910Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-14T21:37:49.3377485Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-14T21:37:49.3378142Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:49.3378737Z     return func(*args, **kwargs)
2025-08-14T21:37:49.3378937Z 
2025-08-14T21:37:49.3379105Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:49.3379714Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:49.3380247Z     return mod(*inputs)
2025-08-14T21:37:49.3380665Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:49.3381148Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:49.3381623Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:49.3382096Z     h = x + self.attention.forward(
2025-08-14T21:37:49.3382680Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:49.3383200Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:49.3383751Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-14T21:37:49.3384316Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-14T21:37:49.3384959Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:49.3385547Z     return func(*args, **kwargs)
2025-08-14T21:37:49.3385752Z 
2025-08-14T21:37:49.3385917Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:49.3386517Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:49.3387052Z     return mod(*inputs)
2025-08-14T21:37:49.3387464Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:49.3387948Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:49.3388426Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:49.3388935Z     h = x + self.attention.forward(
2025-08-14T21:37:49.3389406Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:49.3389929Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:49.3390481Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-14T21:37:49.3391033Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-14T21:37:49.3391677Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:49.3392270Z     return func(*args, **kwargs)
2025-08-14T21:37:49.3392462Z 
2025-08-14T21:37:49.3392671Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:49.3393275Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:49.3393817Z     return mod(*inputs)
2025-08-14T21:37:49.3394243Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:49.3394726Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:49.3395211Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:49.3395691Z     h = x + self.attention.forward(
2025-08-14T21:37:49.3396150Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:49.3396317Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:49.3396611Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-14T21:37:49.3396783Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-14T21:37:49.3397172Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:49.3397283Z     return func(*args, **kwargs)
2025-08-14T21:37:49.3397289Z 
2025-08-14T21:37:49.3397426Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3397685Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3397805Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3397987Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:49.3398316Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:49.3398424Z     return mod(*inputs)
2025-08-14T21:37:49.3398683Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:49.3398801Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:49.3399065Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:49.3399176Z     h = x + self.attention.forward(
2025-08-14T21:37:49.3399428Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:49.3399651Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:49.3399933Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-08-14T21:37:49.3400158Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-08-14T21:37:49.3400543Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:49.3400652Z     return func(*args, **kwargs)
2025-08-14T21:37:49.3400659Z 
2025-08-14T21:37:49.3400835Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:49.3401169Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:49.3401269Z     return mod(*inputs)
2025-08-14T21:37:49.3401537Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:49.3401662Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:49.3401931Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:49.3402048Z     h = x + self.attention.forward(
2025-08-14T21:37:49.3402301Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:49.3402493Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:49.3402783Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-08-14T21:37:49.3402990Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-08-14T21:37:49.3403374Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:49.3403480Z     return func(*args, **kwargs)
2025-08-14T21:37:49.3403486Z 
2025-08-14T21:37:49.3403664Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:49.3404033Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:49.3404132Z     return mod(*inputs)
2025-08-14T21:37:49.3404395Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:49.3404517Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:49.3404768Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:49.3404891Z     h = x + self.attention.forward(
2025-08-14T21:37:49.3405136Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:49.3405299Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:49.3405587Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-14T21:37:49.3405746Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-14T21:37:49.3406138Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:49.3406249Z     return func(*args, **kwargs)
2025-08-14T21:37:49.3406254Z 
2025-08-14T21:37:49.3406429Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:49.3406751Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:49.3406851Z     return mod(*inputs)
2025-08-14T21:37:49.3407117Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:49.3407238Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:49.3407491Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:49.3407617Z     h = x + self.attention.forward(
2025-08-14T21:37:49.3407869Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:49.3408024Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:49.3408330Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-14T21:37:49.3408494Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-14T21:37:49.3408933Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:49.3409040Z     return func(*args, **kwargs)
2025-08-14T21:37:49.3409048Z 
2025-08-14T21:37:49.3409211Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:49.3409542Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:49.3409640Z     return mod(*inputs)
2025-08-14T21:37:49.3409903Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:49.3410024Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:49.3410281Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:49.3410405Z     h = x + self.attention.forward(
2025-08-14T21:37:49.3410661Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:49.3410817Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:49.3411123Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-14T21:37:49.3411285Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-14T21:37:49.3411698Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:49.3411800Z     return func(*args, **kwargs)
2025-08-14T21:37:49.3411805Z 
2025-08-14T21:37:49.3411966Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:49.3412305Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:49.3412400Z     return mod(*inputs)
2025-08-14T21:37:49.3412651Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:49.3412783Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:49.3413063Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:49.3413191Z     h = x + self.attention.forward(
2025-08-14T21:37:49.3413444Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:49.3413600Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:49.3413908Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-14T21:37:49.3414058Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-14T21:37:49.3414431Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:49.3414544Z     return func(*args, **kwargs)
2025-08-14T21:37:49.3414550Z 
2025-08-14T21:37:49.3414675Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3414805Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3414922Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3415043Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3415168Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3415283Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3415395Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3415519Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3415637Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3415801Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:49.3416149Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:49.3416244Z     return mod(*inputs)
2025-08-14T21:37:49.3416504Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:49.3416625Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:49.3416882Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:49.3417006Z     h = x + self.attention.forward(
2025-08-14T21:37:49.3417468Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:49.3417577Z     return func(*args, **kwargs)
2025-08-14T21:37:49.3417583Z 
2025-08-14T21:37:49.3417710Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3417830Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3417954Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3418070Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3418238Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:49.3418582Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:49.3418683Z     return mod(*inputs)
2025-08-14T21:37:49.3418937Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:49.3419072Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:49.3419330Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 197, in forward
2025-08-14T21:37:49.3419503Z     out = h + self.feed_forward.forward(self.ffn_norm(h))
2025-08-14T21:37:49.3419765Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 170, in forward
2025-08-14T21:37:49.3419907Z     return self.w2(F.silu(self.w1(x)) * self.w3(x))
2025-08-14T21:37:49.3420321Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:49.3420424Z     return func(*args, **kwargs)
2025-08-14T21:37:49.3420430Z 
2025-08-14T21:37:49.3420547Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3420674Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3420786Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3420911Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3421026Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3421188Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:49.3421572Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:49.3421665Z     return mod(*inputs)
2025-08-14T21:37:49.3421924Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:49.3422056Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:49.3422316Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:49.3422432Z     h = x + self.attention.forward(
2025-08-14T21:37:49.3422699Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:49.3422862Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:49.3423160Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-08-14T21:37:49.3423374Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-08-14T21:37:49.3423769Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:49.3423875Z     return func(*args, **kwargs)
2025-08-14T21:37:49.3423881Z 
2025-08-14T21:37:49.3424047Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:49.3424379Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:49.3424477Z     return mod(*inputs)
2025-08-14T21:37:49.3424740Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:49.3424861Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:49.3425104Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:49.3425221Z     h = x + self.attention.forward(
2025-08-14T21:37:49.3425466Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:49.3425614Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:49.3425908Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-08-14T21:37:49.3426109Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-08-14T21:37:49.3426537Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:49.3426640Z     return func(*args, **kwargs)
2025-08-14T21:37:49.3426648Z 
2025-08-14T21:37:49.3426805Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:49.3427134Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:49.3427229Z     return mod(*inputs)
2025-08-14T21:37:49.3427493Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:49.3427609Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:49.3427851Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:49.3427966Z     h = x + self.attention.forward(
2025-08-14T21:37:49.3428211Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:49.3428361Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:49.3428656Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-14T21:37:49.3428811Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-14T21:37:49.3429212Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:49.3429314Z     return func(*args, **kwargs)
2025-08-14T21:37:49.3429319Z 
2025-08-14T21:37:49.3429473Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:49.3429802Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:49.3429894Z     return mod(*inputs)
2025-08-14T21:37:49.3430141Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:49.3430293Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:49.3430539Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:49.3430657Z     h = x + self.attention.forward(
2025-08-14T21:37:49.3430895Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:49.3431041Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:49.3431332Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-14T21:37:49.3431483Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-14T21:37:49.3431848Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:49.3431954Z     return func(*args, **kwargs)
2025-08-14T21:37:49.3431959Z 
2025-08-14T21:37:49.3432114Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:49.3432440Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:49.3432539Z     return mod(*inputs)
2025-08-14T21:37:49.3432796Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:49.3432924Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:49.3433177Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:49.3433290Z     h = x + self.attention.forward(
2025-08-14T21:37:49.3433550Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:49.3433696Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:49.3433996Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-14T21:37:49.3434152Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-14T21:37:49.3434527Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:49.3434641Z     return func(*args, **kwargs)
2025-08-14T21:37:49.3434647Z 
2025-08-14T21:37:49.3434808Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:49.3435171Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:49.3435280Z     return mod(*inputs)
2025-08-14T21:37:49.3435517Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:49.3435644Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:49.3435877Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:49.3435982Z     h = x + self.attention.forward(
2025-08-14T21:37:49.3436223Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:49.3436371Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:49.3436648Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-14T21:37:49.3436799Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-14T21:37:49.3437161Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:49.3437266Z     return func(*args, **kwargs)
2025-08-14T21:37:49.3437271Z 
2025-08-14T21:37:49.3437385Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3437537Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3437658Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3437810Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:49.3438120Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:49.3438221Z     return mod(*inputs)
2025-08-14T21:37:49.3438447Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:49.3438562Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:49.3438797Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:49.3438934Z     h = x + self.attention.forward(
2025-08-14T21:37:49.3439188Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:49.3439334Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:49.3439607Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-08-14T21:37:49.3439813Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-08-14T21:37:49.3440172Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:49.3440276Z     return func(*args, **kwargs)
2025-08-14T21:37:49.3440283Z 
2025-08-14T21:37:49.3440435Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:49.3440751Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:49.3440849Z     return mod(*inputs)
2025-08-14T21:37:49.3441095Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:49.3441215Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:49.3441462Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:49.3441566Z     h = x + self.attention.forward(
2025-08-14T21:37:49.3441819Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:49.3441964Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:49.3442247Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-08-14T21:37:49.3442465Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-08-14T21:37:49.3442846Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:49.3442943Z     return func(*args, **kwargs)
2025-08-14T21:37:49.3442960Z 
2025-08-14T21:37:49.3443128Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:49.3443507Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:49.3443609Z     return mod(*inputs)
2025-08-14T21:37:49.3443842Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:49.3443955Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:49.3444210Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:49.3444320Z     h = x + self.attention.forward(
2025-08-14T21:37:49.3444563Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:49.3444723Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:49.3445001Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-14T21:37:49.3445159Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-14T21:37:49.3445532Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:49.3445638Z     return func(*args, **kwargs)
2025-08-14T21:37:49.3445644Z 
2025-08-14T21:37:49.3445805Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:49.3446122Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:49.3446254Z     return mod(*inputs)
2025-08-14T21:37:49.3446496Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:49.3446615Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:49.3446862Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:49.3446966Z     h = x + self.attention.forward(
2025-08-14T21:37:49.3447216Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:49.3447369Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:49.3448270Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-14T21:37:49.3448435Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-14T21:37:49.3448809Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:49.3448907Z     return func(*args, **kwargs)
2025-08-14T21:37:49.3448913Z 
2025-08-14T21:37:49.3449084Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:49.3449392Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:49.3449482Z     return mod(*inputs)
2025-08-14T21:37:49.3449728Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:49.3449836Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:49.3450081Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:49.3450187Z     h = x + self.attention.forward(
2025-08-14T21:37:49.3450403Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:49.3450560Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:49.3450836Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-14T21:37:49.3450992Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-14T21:37:49.3451380Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:49.3451477Z     return func(*args, **kwargs)
2025-08-14T21:37:49.3451482Z 
2025-08-14T21:37:49.3451651Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:49.3451975Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:49.3452066Z     return mod(*inputs)
2025-08-14T21:37:49.3452322Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:49.3452440Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:49.3452775Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:49.3452895Z     h = x + self.attention.forward(
2025-08-14T21:37:49.3453145Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:49.3453310Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:49.3453599Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-14T21:37:49.3453754Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-14T21:37:49.3454152Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:49.3454256Z     return func(*args, **kwargs)
2025-08-14T21:37:49.3454263Z 
2025-08-14T21:37:49.3454383Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3454504Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3454619Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3454742Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3454853Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3454964Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3455087Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3455232Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3455339Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3455460Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3455570Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3455682Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3455806Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3455969Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:49.3456311Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:49.3456403Z     return mod(*inputs)
2025-08-14T21:37:49.3456682Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:49.3456820Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:49.3457075Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 197, in forward
2025-08-14T21:37:49.3457233Z     out = h + self.feed_forward.forward(self.ffn_norm(h))
2025-08-14T21:37:49.3457490Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 170, in forward
2025-08-14T21:37:49.3457621Z     return self.w2(F.silu(self.w1(x)) * self.w3(x))
2025-08-14T21:37:49.3458003Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:49.3458105Z     return func(*args, **kwargs)
2025-08-14T21:37:49.3458111Z 
2025-08-14T21:37:49.3458218Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3458334Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3458444Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3458555Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3458675Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3458837Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:49.3459164Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:49.3459271Z     return mod(*inputs)
2025-08-14T21:37:49.3459521Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:49.3459653Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:49.3459903Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:49.3460018Z     h = x + self.attention.forward(
2025-08-14T21:37:49.3460277Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:49.3460432Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:49.3460724Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-08-14T21:37:49.3460937Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-08-14T21:37:49.3461374Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:49.3461492Z     return func(*args, **kwargs)
2025-08-14T21:37:49.3461500Z 
2025-08-14T21:37:49.3461660Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:49.3461989Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:49.3462096Z     return mod(*inputs)
2025-08-14T21:37:49.3462342Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:49.3462466Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:49.3462707Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:49.3462807Z     h = x + self.attention.forward(
2025-08-14T21:37:49.3463048Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:49.3463191Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:49.3463461Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-08-14T21:37:49.3463660Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-08-14T21:37:49.3464047Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:49.3464153Z     return func(*args, **kwargs)
2025-08-14T21:37:49.3464158Z 
2025-08-14T21:37:49.3464299Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:49.3464589Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:49.3464683Z     return mod(*inputs)
2025-08-14T21:37:49.3464914Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:49.3465055Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:49.3465305Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:49.3465413Z     h = x + self.attention.forward(
2025-08-14T21:37:49.3465654Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:49.3465789Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:49.3466064Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-14T21:37:49.3466221Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-14T21:37:49.3466580Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:49.3466682Z     return func(*args, **kwargs)
2025-08-14T21:37:49.3466688Z 
2025-08-14T21:37:49.3466854Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:49.3467173Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:49.3467274Z     return mod(*inputs)
2025-08-14T21:37:49.3467527Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:49.3467644Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:49.3467908Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:49.3468018Z     h = x + self.attention.forward(
2025-08-14T21:37:49.3468227Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:49.3468369Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:49.3468657Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-14T21:37:49.3468821Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-14T21:37:49.3469193Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:49.3469296Z     return func(*args, **kwargs)
2025-08-14T21:37:49.3469302Z 
2025-08-14T21:37:49.3469468Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:49.3469989Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:49.3470088Z     return mod(*inputs)
2025-08-14T21:37:49.3470362Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:49.3470481Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:49.3470737Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:49.3470847Z     h = x + self.attention.forward(
2025-08-14T21:37:49.3471087Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:49.3471243Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:49.3471527Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-14T21:37:49.3471682Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-14T21:37:49.3472068Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:49.3472187Z     return func(*args, **kwargs)
2025-08-14T21:37:49.3472193Z 
2025-08-14T21:37:49.3472398Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:49.3472732Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:49.3472840Z     return mod(*inputs)
2025-08-14T21:37:49.3473087Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:49.3473203Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:49.3473455Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:49.3473565Z     h = x + self.attention.forward(
2025-08-14T21:37:49.3473812Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:49.3474004Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:49.3474291Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-08-14T21:37:49.3474457Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-08-14T21:37:49.3474832Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:49.3474939Z     return func(*args, **kwargs)
2025-08-14T21:37:49.3474945Z 
2025-08-14T21:37:49.3475071Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3475184Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3475306Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3475465Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:49.3475782Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:49.3475882Z     return mod(*inputs)
2025-08-14T21:37:49.3476133Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:49.3476255Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:49.3476517Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:49.3476625Z     h = x + self.attention.forward(
2025-08-14T21:37:49.3476883Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:49.3477036Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:49.3477327Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-08-14T21:37:49.3477543Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-08-14T21:37:49.3477923Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:49.3478026Z     return func(*args, **kwargs)
2025-08-14T21:37:49.3478032Z 
2025-08-14T21:37:49.3478207Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:49.3478604Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:49.3478707Z     return mod(*inputs)
2025-08-14T21:37:49.3478956Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:49.3479068Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:49.3479318Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:49.3479424Z     h = x + self.attention.forward(
2025-08-14T21:37:49.3479665Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:49.3479822Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:49.3480107Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-08-14T21:37:49.3480314Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-08-14T21:37:49.3480702Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:49.3480804Z     return func(*args, **kwargs)
2025-08-14T21:37:49.3480809Z 
2025-08-14T21:37:49.3480979Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:49.3481322Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:49.3481411Z     return mod(*inputs)
2025-08-14T21:37:49.3481660Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:49.3481780Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:49.3482035Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:49.3482141Z     h = x + self.attention.forward(
2025-08-14T21:37:49.3482386Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:49.3482542Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:49.3482881Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-14T21:37:49.3483039Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-14T21:37:49.3483418Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:49.3483520Z     return func(*args, **kwargs)
2025-08-14T21:37:49.3483526Z 
2025-08-14T21:37:49.3483691Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:49.3484012Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:49.3484106Z     return mod(*inputs)
2025-08-14T21:37:49.3484357Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:49.3484474Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:49.3484719Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:49.3484846Z     h = x + self.attention.forward(
2025-08-14T21:37:49.3485094Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:49.3485260Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:49.3485549Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-14T21:37:49.3485706Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-14T21:37:49.3486090Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:49.3486192Z     return func(*args, **kwargs)
2025-08-14T21:37:49.3486197Z 
2025-08-14T21:37:49.3486367Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:49.3486697Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:49.3486790Z     return mod(*inputs)
2025-08-14T21:37:49.3487051Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:49.3487174Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:49.3487492Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:49.3487616Z     h = x + self.attention.forward(
2025-08-14T21:37:49.3487851Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:49.3487984Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:49.3488274Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-14T21:37:49.3488420Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-14T21:37:49.3488786Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:49.3488887Z     return func(*args, **kwargs)
2025-08-14T21:37:49.3488892Z 
2025-08-14T21:37:49.3489045Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:49.3489367Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:49.3489460Z     return mod(*inputs)
2025-08-14T21:37:49.3489708Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:49.3489823Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:49.3490103Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:49.3490223Z     h = x + self.attention.forward(
2025-08-14T21:37:49.3490463Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-08-14T21:37:49.3490611Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-08-14T21:37:49.3490900Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-08-14T21:37:49.3491057Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-08-14T21:37:49.3491439Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:49.3491565Z     return func(*args, **kwargs)
2025-08-14T21:37:49.3491570Z 
2025-08-14T21:37:49.3491687Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3491793Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3491888Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3491996Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3492117Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3492224Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3492333Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3492451Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3492558Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3492724Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:49.3493039Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:49.3493132Z     return mod(*inputs)
2025-08-14T21:37:49.3493390Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:49.3493513Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:49.3493750Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-08-14T21:37:49.3493866Z     h = x + self.attention.forward(
2025-08-14T21:37:49.3494241Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:49.3494345Z     return func(*args, **kwargs)
2025-08-14T21:37:49.3494351Z 
2025-08-14T21:37:49.3494466Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3494573Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3494694Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3494805Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3494966Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:49.3495295Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:49.3495392Z     return mod(*inputs)
2025-08-14T21:37:49.3495690Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-08-14T21:37:49.3495815Z     h = layer(h, start_pos, freqs_cis, mask)
2025-08-14T21:37:49.3496051Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 197, in forward
2025-08-14T21:37:49.3496217Z     out = h + self.feed_forward.forward(self.ffn_norm(h))
2025-08-14T21:37:49.3496467Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 170, in forward
2025-08-14T21:37:49.3496608Z     return self.w2(F.silu(self.w1(x)) * self.w3(x))
2025-08-14T21:37:49.3496983Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:49.3497087Z     return func(*args, **kwargs)
2025-08-14T21:37:49.3497091Z 
2025-08-14T21:37:49.3497202Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3497325Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3497433Z cudagraph partition due to non gpu ops
2025-08-14T21:37:49.3497586Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:49.3497911Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:49.3498003Z     return mod(*inputs)
2025-08-14T21:37:49.3498278Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 244, in forward
2025-08-14T21:37:49.3498473Z     output = self.output(h[:, -1, :])  # only compute last logits
2025-08-14T21:37:49.3498848Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:49.3498954Z     return func(*args, **kwargs)
2025-08-14T21:37:49.3498959Z 
2025-08-14T21:37:49.3499112Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:49.3499437Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:49.3499537Z     return mod(*inputs)
2025-08-14T21:37:49.3499807Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 244, in forward
2025-08-14T21:37:49.3499987Z     output = self.output(h[:, -1, :])  # only compute last logits
2025-08-14T21:37:49.3500356Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:49.3500461Z     return func(*args, **kwargs)
2025-08-14T21:37:49.3500467Z 
2025-08-14T21:37:49.3500632Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:49.3500950Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:49.3501042Z     return mod(*inputs)
2025-08-14T21:37:49.3501294Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 244, in forward
2025-08-14T21:37:49.3501476Z     output = self.output(h[:, -1, :])  # only compute last logits
2025-08-14T21:37:49.3501849Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:49.3501961Z     return func(*args, **kwargs)
2025-08-14T21:37:49.3501967Z 
2025-08-14T21:37:49.3502133Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:49.3502461Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:49.3502558Z     return mod(*inputs)
2025-08-14T21:37:49.3502811Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 245, in forward
2025-08-14T21:37:49.3502924Z     return output.float()
2025-08-14T21:37:49.3503297Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_device.py", line 103, in __torch_function__
2025-08-14T21:37:49.3503396Z     return func(*args, **kwargs)
2025-08-14T21:37:49.3503410Z 
2025-08-14T21:37:51.4497575Z 
2025-08-14T21:37:51.5776262Z running benchmark:   0% 0/50 [00:00<?, ?it/s]
2025-08-14T21:37:51.6928584Z running benchmark:   8% 4/50 [00:00<00:01, 31.20it/s]
2025-08-14T21:37:51.8080073Z running benchmark:  16% 8/50 [00:00<00:01, 33.17it/s]
2025-08-14T21:37:51.9234599Z running benchmark:  24% 12/50 [00:00<00:01, 33.87it/s]
2025-08-14T21:37:52.0395709Z running benchmark:  32% 16/50 [00:00<00:00, 34.17it/s]
2025-08-14T21:37:52.1553932Z running benchmark:  40% 20/50 [00:00<00:00, 34.28it/s]
2025-08-14T21:37:52.2732208Z running benchmark:  48% 24/50 [00:00<00:00, 34.36it/s]
2025-08-14T21:37:52.3917770Z running benchmark:  56% 28/50 [00:00<00:00, 34.22it/s]
2025-08-14T21:37:52.5097159Z running benchmark:  64% 32/50 [00:00<00:00, 34.07it/s]
2025-08-14T21:37:52.6280728Z running benchmark:  72% 36/50 [00:01<00:00, 34.02it/s]
2025-08-14T21:37:52.7436810Z running benchmark:  80% 40/50 [00:01<00:00, 33.95it/s]
2025-08-14T21:37:52.8582625Z running benchmark:  88% 44/50 [00:01<00:00, 34.15it/s]
2025-08-14T21:37:52.9153501Z running benchmark:  96% 48/50 [00:01<00:00, 34.38it/s]
2025-08-14T21:37:52.9153966Z running benchmark: 100% 50/50 [00:01<00:00, 34.11it/s]
2025-08-14T21:37:53.0547584Z 2.240x
2025-08-14T21:37:53.0548089Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T21:37:54.0723625Z + cat /var/lib/jenkins/workspace/test/test-reports/inductor_inference_llama_inductor_amp_static_cpu_smoketest.csv
2025-08-14T21:37:54.0737999Z 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
2025-08-14T21:37:54.0738953Z cpu,llama,32,2.239873,8.674220,26.923489,0.978174,781.757235,799.200461,1062,2,0,0,0,0,2
2025-08-14T21:37:54.0739543Z + 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
2025-08-14T21:37:54.3202614Z llama                              2.239873
2025-08-14T21:37:54.3550503Z + IFS=,
2025-08-14T21:37:54.3550728Z + read -r -a model_cfg
2025-08-14T21:37:54.3550954Z + local model_name=timm_regnet
2025-08-14T21:37:54.3551385Z + local data_type=amp
2025-08-14T21:37:54.3551595Z + local speedup_target=1.12734073
2025-08-14T21:37:54.3551821Z + local backend=inductor
2025-08-14T21:37:54.3552025Z + [[ cpp == \c\p\p ]]
2025-08-14T21:37:54.3552231Z + export TORCHINDUCTOR_CPP_WRAPPER=1
2025-08-14T21:37:54.3552479Z + TORCHINDUCTOR_CPP_WRAPPER=1
2025-08-14T21:37:54.3552954Z + local output_name=/var/lib/jenkins/workspace/test/test-reports/inductor_inference_timm_regnet_inductor_amp_static_cpu_smoketest.csv
2025-08-14T21:37:54.3553435Z + [[ static == \d\y\n\a\m\i\c ]]
2025-08-14T21:37:54.3554248Z + taskset -c 0-93 python benchmarks/dynamo/torchbench.py --inference --performance --amp -dcpu -n50 --only timm_regnet --freezing --timeout 9000 --inductor --output /var/lib/jenkins/workspace/test/test-reports/inductor_inference_timm_regnet_inductor_amp_static_cpu_smoketest.csv
2025-08-14T21:37:56.4249029Z 
2025-08-14T21:37:57.6433869Z loading model: 0it [00:00, ?it/s]
2025-08-14T21:37:57.6434118Z 
2025-08-14T21:37:57.7885555Z model.safetensors:   0% 0.00/208M [00:00<?, ?B/s]
2025-08-14T21:37:57.7885746Z 
2025-08-14T21:37:57.9017532Z model.safetensors:  10% 21.0M/208M [00:00<00:01, 144MB/s]
2025-08-14T21:37:57.9017845Z 
2025-08-14T21:37:58.0163329Z model.safetensors:  25% 52.4M/208M [00:00<00:00, 215MB/s]
2025-08-14T21:37:58.0163647Z 
2025-08-14T21:37:58.1407901Z model.safetensors:  45% 94.4M/208M [00:00<00:00, 280MB/s]
2025-08-14T21:37:58.1408201Z 
2025-08-14T21:37:58.2813740Z model.safetensors:  66% 136M/208M [00:00<00:00, 303MB/s] 
2025-08-14T21:37:58.2814036Z 
2025-08-14T21:37:58.4222250Z model.safetensors:  86% 178M/208M [00:00<00:00, 301MB/s]
2025-08-14T21:37:58.4222667Z model.safetensors: 100% 208M/208M [00:00<00:00, 267MB/s]
2025-08-14T21:37:58.9277184Z 
2025-08-14T21:37:58.9277716Z loading model: 0it [00:02, ?it/s]
2025-08-14T21:37:58.9278052Z cpu  eval  timm_regnet                        
2025-08-14T21:38:01.8275232Z skipping cudagraphs due to cpp wrapper enabled
2025-08-14T21:38:17.1596955Z 
2025-08-14T21:38:17.3071956Z running benchmark:   0% 0/50 [00:00<?, ?it/s]
2025-08-14T21:38:17.4434311Z running benchmark:   2% 1/50 [00:00<00:07,  6.76it/s]
2025-08-14T21:38:17.6008309Z running benchmark:   4% 2/50 [00:00<00:06,  7.09it/s]
2025-08-14T21:38:17.7359716Z running benchmark:   6% 3/50 [00:00<00:06,  6.73it/s]
2025-08-14T21:38:17.8711511Z running benchmark:   8% 4/50 [00:00<00:06,  6.98it/s]
2025-08-14T21:38:18.0075839Z running benchmark:  10% 5/50 [00:00<00:06,  7.13it/s]
2025-08-14T21:38:18.1422606Z running benchmark:  12% 6/50 [00:00<00:06,  7.19it/s]
2025-08-14T21:38:18.2778414Z running benchmark:  14% 7/50 [00:00<00:05,  7.27it/s]
2025-08-14T21:38:18.4128619Z running benchmark:  16% 8/50 [00:01<00:05,  7.30it/s]
2025-08-14T21:38:18.5487793Z running benchmark:  18% 9/50 [00:01<00:05,  7.33it/s]
2025-08-14T21:38:18.7057216Z running benchmark:  20% 10/50 [00:01<00:05,  7.34it/s]
2025-08-14T21:38:18.8413619Z running benchmark:  22% 11/50 [00:01<00:05,  7.01it/s]
2025-08-14T21:38:18.9762985Z running benchmark:  24% 12/50 [00:01<00:05,  7.12it/s]
2025-08-14T21:38:19.1113827Z running benchmark:  26% 13/50 [00:01<00:05,  7.21it/s]
2025-08-14T21:38:19.2467869Z running benchmark:  28% 14/50 [00:01<00:04,  7.26it/s]
2025-08-14T21:38:19.3869240Z running benchmark:  30% 15/50 [00:02<00:04,  7.30it/s]
2025-08-14T21:38:19.5233693Z running benchmark:  32% 16/50 [00:02<00:04,  7.25it/s]
2025-08-14T21:38:19.6752903Z running benchmark:  34% 17/50 [00:02<00:04,  7.27it/s]
2025-08-14T21:38:19.8235404Z running benchmark:  36% 18/50 [00:02<00:04,  7.05it/s]
2025-08-14T21:38:19.9613261Z running benchmark:  38% 19/50 [00:02<00:04,  6.96it/s]
2025-08-14T21:38:20.0992501Z running benchmark:  40% 20/50 [00:02<00:04,  7.05it/s]
2025-08-14T21:38:20.2388994Z running benchmark:  42% 21/50 [00:02<00:04,  7.11it/s]
2025-08-14T21:38:20.3747776Z running benchmark:  44% 22/50 [00:03<00:03,  7.12it/s]
2025-08-14T21:38:20.5156091Z running benchmark:  46% 23/50 [00:03<00:03,  7.19it/s]
2025-08-14T21:38:20.6505565Z running benchmark:  48% 24/50 [00:03<00:03,  7.16it/s]
2025-08-14T21:38:20.8208333Z running benchmark:  50% 25/50 [00:03<00:03,  7.24it/s]
2025-08-14T21:38:20.9575351Z running benchmark:  52% 26/50 [00:03<00:03,  6.76it/s]
2025-08-14T21:38:21.0966361Z running benchmark:  54% 27/50 [00:03<00:03,  6.92it/s]
2025-08-14T21:38:21.2328750Z running benchmark:  56% 28/50 [00:03<00:03,  7.00it/s]
2025-08-14T21:38:21.3735953Z running benchmark:  58% 29/50 [00:04<00:02,  7.10it/s]
2025-08-14T21:38:21.5112860Z running benchmark:  60% 30/50 [00:04<00:02,  7.10it/s]
2025-08-14T21:38:21.6472483Z running benchmark:  62% 31/50 [00:04<00:02,  7.15it/s]
2025-08-14T21:38:21.7877591Z running benchmark:  64% 32/50 [00:04<00:02,  7.21it/s]
2025-08-14T21:38:21.9449217Z running benchmark:  66% 33/50 [00:04<00:02,  7.18it/s]
2025-08-14T21:38:22.0837653Z running benchmark:  68% 34/50 [00:04<00:02,  6.91it/s]
2025-08-14T21:38:22.2206794Z running benchmark:  70% 35/50 [00:04<00:02,  7.00it/s]
2025-08-14T21:38:22.3586723Z running benchmark:  72% 36/50 [00:05<00:01,  7.09it/s]
2025-08-14T21:38:22.4958784Z running benchmark:  74% 37/50 [00:05<00:01,  7.13it/s]
2025-08-14T21:38:22.6333836Z running benchmark:  76% 38/50 [00:05<00:01,  7.18it/s]
2025-08-14T21:38:22.7696150Z running benchmark:  78% 39/50 [00:05<00:01,  7.21it/s]
2025-08-14T21:38:22.9219706Z running benchmark:  80% 40/50 [00:05<00:01,  7.25it/s]
2025-08-14T21:38:23.0675590Z running benchmark:  82% 41/50 [00:05<00:01,  7.03it/s]
2025-08-14T21:38:23.2026707Z running benchmark:  84% 42/50 [00:05<00:01,  6.98it/s]
2025-08-14T21:38:23.3422274Z running benchmark:  86% 43/50 [00:06<00:00,  7.10it/s]
2025-08-14T21:38:23.4786187Z running benchmark:  88% 44/50 [00:06<00:00,  7.12it/s]
2025-08-14T21:38:23.6183408Z running benchmark:  90% 45/50 [00:06<00:00,  7.18it/s]
2025-08-14T21:38:23.7527177Z running benchmark:  92% 46/50 [00:06<00:00,  7.17it/s]
2025-08-14T21:38:23.8928345Z running benchmark:  94% 47/50 [00:06<00:00,  7.25it/s]
2025-08-14T21:38:24.0607222Z running benchmark:  96% 48/50 [00:06<00:00,  7.22it/s]
2025-08-14T21:38:24.1977389Z running benchmark:  98% 49/50 [00:06<00:00,  6.79it/s]
2025-08-14T21:38:24.1979411Z running benchmark: 100% 50/50 [00:07<00:00,  6.93it/s]
2025-08-14T21:38:24.2995767Z running benchmark: 100% 50/50 [00:07<00:00,  7.10it/s]
2025-08-14T21:38:24.2996019Z 2.938x
2025-08-14T21:38:24.2996454Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T21:38:25.3711097Z + cat /var/lib/jenkins/workspace/test/test-reports/inductor_inference_timm_regnet_inductor_amp_static_cpu_smoketest.csv
2025-08-14T21:38:25.3728170Z 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
2025-08-14T21:38:25.3728917Z cpu,timm_regnet,32,2.937884,34.461795,16.181758,0.972966,451.148186,463.683174,321,1,0,0,0,0,1
2025-08-14T21:38:25.3729631Z + python benchmarks/dynamo/check_perf_csv.py -f /var/lib/jenkins/workspace/test/test-reports/inductor_inference_timm_regnet_inductor_amp_static_cpu_smoketest.csv -t 1.12734073 -s 0.99
2025-08-14T21:38:25.6157632Z timm_regnet                        2.937884
2025-08-14T21:38:25.6514188Z + IFS=,
2025-08-14T21:38:25.6514409Z + read -r -a model_cfg
2025-08-14T21:38:25.6514966Z + local model_name=mnasnet1_0
2025-08-14T21:38:25.6515180Z + local data_type=amp
2025-08-14T21:38:25.6515383Z + local speedup_target=2.1296814
2025-08-14T21:38:25.6515601Z + local backend=inductor
2025-08-14T21:38:25.6515790Z + [[ cpp == \c\p\p ]]
2025-08-14T21:38:25.6515994Z + export TORCHINDUCTOR_CPP_WRAPPER=1
2025-08-14T21:38:25.6516236Z + TORCHINDUCTOR_CPP_WRAPPER=1
2025-08-14T21:38:25.6516730Z + local output_name=/var/lib/jenkins/workspace/test/test-reports/inductor_inference_mnasnet1_0_inductor_amp_static_cpu_smoketest.csv
2025-08-14T21:38:25.6517216Z + [[ static == \d\y\n\a\m\i\c ]]
2025-08-14T21:38:25.6518038Z + 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
2025-08-14T21:38:27.7123803Z 
2025-08-14T21:38:27.8592191Z 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
2025-08-14T21:38:27.8715625Z 
2025-08-14T21:38:27.8715742Z 
2025-08-14T21:38:27.9150077Z   0% 0.00/16.9M [00:00<?, ?B/s]
2025-08-14T21:38:27.9150446Z 100% 16.9M/16.9M [00:00<00:00, 414MB/s]
2025-08-14T21:38:28.1415397Z 
2025-08-14T21:38:28.1416062Z loading model: 0it [00:00, ?it/s]
2025-08-14T21:38:28.1416398Z cpu  eval  mnasnet1_0                         
2025-08-14T21:38:29.9864064Z skipping cudagraphs due to cpp wrapper enabled
2025-08-14T21:38:40.4693450Z 
2025-08-14T21:38:40.5766728Z running benchmark:   0% 0/50 [00:00<?, ?it/s]
2025-08-14T21:38:40.6876617Z running benchmark:   8% 4/50 [00:00<00:01, 37.33it/s]
2025-08-14T21:38:40.7914986Z running benchmark:  16% 8/50 [00:00<00:01, 36.55it/s]
2025-08-14T21:38:40.8938103Z running benchmark:  24% 12/50 [00:00<00:01, 37.43it/s]
2025-08-14T21:38:40.9961696Z running benchmark:  32% 16/50 [00:00<00:00, 38.07it/s]
2025-08-14T21:38:41.0970066Z running benchmark:  40% 20/50 [00:00<00:00, 38.43it/s]
2025-08-14T21:38:41.1984936Z running benchmark:  48% 24/50 [00:00<00:00, 38.84it/s]
2025-08-14T21:38:41.3002707Z running benchmark:  56% 28/50 [00:00<00:00, 39.03it/s]
2025-08-14T21:38:41.4008109Z running benchmark:  64% 32/50 [00:00<00:00, 39.11it/s]
2025-08-14T21:38:41.5257384Z running benchmark:  72% 36/50 [00:00<00:00, 39.32it/s]
2025-08-14T21:38:41.6486338Z running benchmark:  82% 41/50 [00:01<00:00, 39.57it/s]
2025-08-14T21:38:41.7536400Z running benchmark:  92% 46/50 [00:01<00:00, 39.94it/s]
2025-08-14T21:38:41.7536916Z running benchmark: 100% 50/50 [00:01<00:00, 39.41it/s]
2025-08-14T21:38:41.7537419Z running benchmark: 100% 50/50 [00:01<00:00, 38.93it/s]
2025-08-14T21:38:41.8133231Z 4.021x
2025-08-14T21:38:41.8134828Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T21:38:42.7487362Z + cat /var/lib/jenkins/workspace/test/test-reports/inductor_inference_mnasnet1_0_inductor_amp_static_cpu_smoketest.csv
2025-08-14T21:38:42.7500017Z 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
2025-08-14T21:38:42.7500681Z cpu,mnasnet1_0,32,4.021438,4.889681,11.251255,0.925896,136.926003,147.884851,154,1,0,0,0,0,1
2025-08-14T21:38:42.7503285Z + 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
2025-08-14T21:38:43.0203281Z mnasnet1_0                         4.021438
2025-08-14T21:38:43.0568381Z + IFS=,
2025-08-14T21:38:43.0568593Z + read -r -a model_cfg
2025-08-14T21:38:43.0568860Z + local model_name=timm_vovnet
2025-08-14T21:38:43.0569076Z + local data_type=amp
2025-08-14T21:38:43.0569276Z + local speedup_target=1.10851009
2025-08-14T21:38:43.0569499Z + local backend=inductor
2025-08-14T21:38:43.0570048Z + [[ cpp == \c\p\p ]]
2025-08-14T21:38:43.0570253Z + export TORCHINDUCTOR_CPP_WRAPPER=1
2025-08-14T21:38:43.0570500Z + TORCHINDUCTOR_CPP_WRAPPER=1
2025-08-14T21:38:43.0570984Z + local output_name=/var/lib/jenkins/workspace/test/test-reports/inductor_inference_timm_vovnet_inductor_amp_dynamic_cpu_smoketest.csv
2025-08-14T21:38:43.0571471Z + [[ dynamic == \d\y\n\a\m\i\c ]]
2025-08-14T21:38:43.0572396Z + taskset -c 0-93 python benchmarks/dynamo/torchbench.py --inference --performance --amp -dcpu -n50 --only timm_vovnet --dynamic-shapes --dynamic-batch-only --freezing --timeout 9000 --inductor --output /var/lib/jenkins/workspace/test/test-reports/inductor_inference_timm_vovnet_inductor_amp_dynamic_cpu_smoketest.csv
2025-08-14T21:38:45.0947471Z 
2025-08-14T21:38:46.3294252Z loading model: 0it [00:00, ?it/s]
2025-08-14T21:38:46.3294603Z loading model: 0it [00:01, ?it/s]
2025-08-14T21:38:46.3297004Z cpu  eval  timm_vovnet                        
2025-08-14T21:38:48.4902810Z skipping cudagraphs due to cpp wrapper enabled
2025-08-14T21:39:03.1851079Z 
2025-08-14T21:39:03.2933055Z running benchmark:   0% 0/50 [00:00<?, ?it/s]
2025-08-14T21:39:03.4374295Z running benchmark:   2% 1/50 [00:00<00:05,  9.24it/s]
2025-08-14T21:39:03.6042904Z running benchmark:   6% 3/50 [00:00<00:03, 12.28it/s]
2025-08-14T21:39:03.7483486Z running benchmark:  10% 5/50 [00:00<00:03, 12.12it/s]
2025-08-14T21:39:03.8923804Z running benchmark:  14% 7/50 [00:00<00:03, 12.81it/s]
2025-08-14T21:39:04.0355508Z running benchmark:  18% 9/50 [00:00<00:03, 13.20it/s]
2025-08-14T21:39:04.1794268Z running benchmark:  22% 11/50 [00:00<00:02, 13.46it/s]
2025-08-14T21:39:04.3235888Z running benchmark:  26% 13/50 [00:00<00:02, 13.60it/s]
2025-08-14T21:39:04.4674690Z running benchmark:  30% 15/50 [00:01<00:02, 13.69it/s]
2025-08-14T21:39:04.6183031Z running benchmark:  34% 17/50 [00:01<00:02, 13.75it/s]
2025-08-14T21:39:04.7757444Z running benchmark:  38% 19/50 [00:01<00:02, 13.60it/s]
2025-08-14T21:39:04.9198140Z running benchmark:  42% 21/50 [00:01<00:02, 13.31it/s]
2025-08-14T21:39:05.0702377Z running benchmark:  46% 23/50 [00:01<00:02, 13.48it/s]
2025-08-14T21:39:05.2134899Z running benchmark:  50% 25/50 [00:01<00:01, 13.42it/s]
2025-08-14T21:39:05.3567327Z running benchmark:  54% 27/50 [00:02<00:01, 13.58it/s]
2025-08-14T21:39:05.5027290Z running benchmark:  58% 29/50 [00:02<00:01, 13.69it/s]
2025-08-14T21:39:05.6472804Z running benchmark:  62% 31/50 [00:02<00:01, 13.70it/s]
2025-08-14T21:39:05.8132557Z running benchmark:  66% 33/50 [00:02<00:01, 13.74it/s]
2025-08-14T21:39:05.9580547Z running benchmark:  70% 35/50 [00:02<00:01, 13.18it/s]
2025-08-14T21:39:06.1013217Z running benchmark:  74% 37/50 [00:02<00:00, 13.37it/s]
2025-08-14T21:39:06.2452391Z running benchmark:  78% 39/50 [00:02<00:00, 13.54it/s]
2025-08-14T21:39:06.3919895Z running benchmark:  82% 41/50 [00:03<00:00, 13.65it/s]
2025-08-14T21:39:06.5338484Z running benchmark:  86% 43/50 [00:03<00:00, 13.64it/s]
2025-08-14T21:39:06.6800648Z running benchmark:  90% 45/50 [00:03<00:00, 13.77it/s]
2025-08-14T21:39:06.8422579Z running benchmark:  94% 47/50 [00:03<00:00, 13.75it/s]
2025-08-14T21:39:06.9132647Z running benchmark:  98% 49/50 [00:03<00:00, 13.29it/s]
2025-08-14T21:39:06.9133189Z running benchmark: 100% 50/50 [00:03<00:00, 13.41it/s]
2025-08-14T21:39:06.9845987Z 3.167x
2025-08-14T21:39:06.9846373Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T21:39:08.1381778Z + cat /var/lib/jenkins/workspace/test/test-reports/inductor_inference_timm_vovnet_inductor_amp_dynamic_cpu_smoketest.csv
2025-08-14T21:39:08.1399704Z 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
2025-08-14T21:39:08.1400531Z cpu,timm_vovnet,32,3.166998,17.088981,15.330995,0.945854,221.644800,234.332979,132,1,0,0,0,0,1
2025-08-14T21:39:08.1401610Z + python benchmarks/dynamo/check_perf_csv.py -f /var/lib/jenkins/workspace/test/test-reports/inductor_inference_timm_vovnet_inductor_amp_dynamic_cpu_smoketest.csv -t 1.10851009 -s 0.99
2025-08-14T21:39:08.3859038Z timm_vovnet                        3.166998
2025-08-14T21:39:08.4211215Z + IFS=,
2025-08-14T21:39:08.4211450Z + read -r -a model_cfg
2025-08-14T21:39:08.4211654Z + local model_name=hf_GPT2
2025-08-14T21:39:08.4211857Z + local data_type=amp
2025-08-14T21:39:08.4212053Z + local speedup_target=1.4432794
2025-08-14T21:39:08.4212276Z + local backend=export-aot-inductor
2025-08-14T21:39:08.4212504Z + [[ default == \c\p\p ]]
2025-08-14T21:39:08.4212712Z + unset TORCHINDUCTOR_CPP_WRAPPER
2025-08-14T21:39:08.4213434Z + local output_name=/var/lib/jenkins/workspace/test/test-reports/inductor_inference_hf_GPT2_export-aot-inductor_amp_static_cpu_smoketest.csv
2025-08-14T21:39:08.4213945Z + [[ static == \d\y\n\a\m\i\c ]]
2025-08-14T21:39:08.4214806Z + taskset -c 0-93 python benchmarks/dynamo/torchbench.py --inference --performance --amp -dcpu -n50 --only hf_GPT2 --freezing --timeout 9000 --export-aot-inductor --output /var/lib/jenkins/workspace/test/test-reports/inductor_inference_hf_GPT2_export-aot-inductor_amp_static_cpu_smoketest.csv
2025-08-14T21:39:10.4737185Z 
2025-08-14T21:39:11.3698792Z loading model: 0it [00:00, ?it/s]
2025-08-14T21:39:11.3699008Z 
2025-08-14T21:39:11.3725456Z config.json:   0% 0.00/665 [00:00<?, ?B/s]
2025-08-14T21:39:11.3725687Z config.json: 100% 665/665 [00:00<00:00, 195kB/s]
2025-08-14T21:39:14.5280869Z 
2025-08-14T21:39:14.5281487Z loading model: 0it [00:04, ?it/s]
2025-08-14T21:39:14.5282572Z cpu  eval  hf_GPT2                            
2025-08-14T21:39:16.3641748Z skipping cudagraphs due to cpp wrapper enabled
2025-08-14T21:39:30.6724586Z 
2025-08-14T21:39:30.7917482Z running benchmark:   0% 0/50 [00:00<?, ?it/s]
2025-08-14T21:39:30.9016488Z running benchmark:   6% 3/50 [00:00<00:01, 25.06it/s]
2025-08-14T21:39:31.0102847Z running benchmark:  14% 7/50 [00:00<00:01, 31.48it/s]
2025-08-14T21:39:31.1206218Z running benchmark:  22% 11/50 [00:00<00:01, 33.85it/s]
2025-08-14T21:39:31.2310020Z running benchmark:  30% 15/50 [00:00<00:01, 34.79it/s]
2025-08-14T21:39:31.3396010Z running benchmark:  38% 19/50 [00:00<00:00, 35.31it/s]
2025-08-14T21:39:31.4488908Z running benchmark:  46% 23/50 [00:00<00:00, 35.82it/s]
2025-08-14T21:39:31.5592468Z running benchmark:  54% 27/50 [00:00<00:00, 36.08it/s]
2025-08-14T21:39:31.6700315Z running benchmark:  62% 31/50 [00:00<00:00, 36.13it/s]
2025-08-14T21:39:31.7830745Z running benchmark:  70% 35/50 [00:00<00:00, 36.12it/s]
2025-08-14T21:39:31.8972198Z running benchmark:  78% 39/50 [00:01<00:00, 35.89it/s]
2025-08-14T21:39:32.0083900Z running benchmark:  86% 43/50 [00:01<00:00, 35.63it/s]
2025-08-14T21:39:32.0908518Z running benchmark:  94% 47/50 [00:01<00:00, 35.73it/s]
2025-08-14T21:39:32.0909372Z running benchmark: 100% 50/50 [00:01<00:00, 35.24it/s]
2025-08-14T21:39:32.1931630Z 2.161x
2025-08-14T21:39:32.1932206Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T21:39:33.5816386Z + cat /var/lib/jenkins/workspace/test/test-reports/inductor_inference_hf_GPT2_export-aot-inductor_amp_static_cpu_smoketest.csv
2025-08-14T21:39:33.5833570Z 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
2025-08-14T21:39:33.5834243Z cpu,hf_GPT2,1,2.161295,8.442378,15.595253,0.513613,264.095334,514.191360,0,0,0,0,0,0,1
2025-08-14T21:39:33.5834877Z + python benchmarks/dynamo/check_perf_csv.py -f /var/lib/jenkins/workspace/test/test-reports/inductor_inference_hf_GPT2_export-aot-inductor_amp_static_cpu_smoketest.csv -t 1.4432794 -s 0.99
2025-08-14T21:39:33.8287316Z hf_GPT2                            2.161295
2025-08-14T21:39:33.8637815Z + IFS=,
2025-08-14T21:39:33.8638060Z + read -r -a model_cfg
2025-08-14T21:39:33.8638276Z + local model_name=densenet121
2025-08-14T21:39:33.8638700Z + local data_type=amp
2025-08-14T21:39:33.8638903Z + local speedup_target=1.25591385
2025-08-14T21:39:33.8639129Z + local backend=export-aot-inductor
2025-08-14T21:39:33.8639363Z + [[ default == \c\p\p ]]
2025-08-14T21:39:33.8639575Z + unset TORCHINDUCTOR_CPP_WRAPPER
2025-08-14T21:39:33.8640088Z + local output_name=/var/lib/jenkins/workspace/test/test-reports/inductor_inference_densenet121_export-aot-inductor_amp_static_cpu_smoketest.csv
2025-08-14T21:39:33.8640606Z + [[ static == \d\y\n\a\m\i\c ]]
2025-08-14T21:39:33.8641497Z + 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
2025-08-14T21:39:35.9195043Z 
2025-08-14T21:39:36.0986015Z 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
2025-08-14T21:39:36.1093912Z 
2025-08-14T21:39:36.1093919Z 
2025-08-14T21:39:36.1723670Z   0% 0.00/30.8M [00:00<?, ?B/s]
2025-08-14T21:39:36.1724043Z 100% 30.8M/30.8M [00:00<00:00, 517MB/s]
2025-08-14T21:39:36.7342326Z 
2025-08-14T21:39:36.7342777Z loading model: 0it [00:00, ?it/s]
2025-08-14T21:39:36.7343107Z cpu  eval  densenet121                        
2025-08-14T21:39:40.0115459Z skipping cudagraphs due to cpp wrapper enabled
2025-08-14T21:40:03.0468978Z 
2025-08-14T21:40:03.2755822Z running benchmark:   0% 0/50 [00:00<?, ?it/s]
2025-08-14T21:40:03.4311885Z running benchmark:   2% 1/50 [00:00<00:11,  4.38it/s]
2025-08-14T21:40:03.5851016Z running benchmark:   4% 2/50 [00:00<00:08,  5.39it/s]
2025-08-14T21:40:03.7395394Z running benchmark:   6% 3/50 [00:00<00:08,  5.84it/s]
2025-08-14T21:40:03.8984001Z running benchmark:   8% 4/50 [00:00<00:07,  6.08it/s]
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2025-08-14T21:40:04.2240179Z running benchmark:  12% 6/50 [00:01<00:07,  6.05it/s]
2025-08-14T21:40:04.3763516Z running benchmark:  14% 7/50 [00:01<00:06,  6.18it/s]
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2025-08-14T21:40:05.4549475Z running benchmark:  28% 14/50 [00:02<00:05,  6.43it/s]
2025-08-14T21:40:05.6091707Z running benchmark:  30% 15/50 [00:02<00:05,  6.47it/s]
2025-08-14T21:40:05.7657714Z running benchmark:  32% 16/50 [00:02<00:05,  6.47it/s]
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2025-08-14T21:40:06.0747687Z running benchmark:  36% 18/50 [00:02<00:04,  6.46it/s]
2025-08-14T21:40:06.2430230Z running benchmark:  38% 19/50 [00:03<00:04,  6.46it/s]
2025-08-14T21:40:06.3968534Z running benchmark:  40% 20/50 [00:03<00:04,  6.29it/s]
2025-08-14T21:40:06.5552425Z running benchmark:  42% 21/50 [00:03<00:04,  6.35it/s]
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2025-08-14T21:40:06.8652743Z running benchmark:  46% 23/50 [00:03<00:04,  6.38it/s]
2025-08-14T21:40:07.0185550Z running benchmark:  48% 24/50 [00:03<00:04,  6.40it/s]
2025-08-14T21:40:07.1752211Z running benchmark:  50% 25/50 [00:03<00:03,  6.43it/s]
2025-08-14T21:40:07.3414008Z running benchmark:  52% 26/50 [00:04<00:03,  6.42it/s]
2025-08-14T21:40:07.4972238Z running benchmark:  54% 27/50 [00:04<00:03,  6.29it/s]
2025-08-14T21:40:07.6503761Z running benchmark:  56% 28/50 [00:04<00:03,  6.33it/s]
2025-08-14T21:40:07.8069346Z running benchmark:  58% 29/50 [00:04<00:03,  6.39it/s]
2025-08-14T21:40:07.9623204Z running benchmark:  60% 30/50 [00:04<00:03,  6.39it/s]
2025-08-14T21:40:08.1169552Z running benchmark:  62% 31/50 [00:04<00:02,  6.40it/s]
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2025-08-14T21:40:08.9013690Z running benchmark:  72% 36/50 [00:05<00:02,  6.38it/s]
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2025-08-14T21:40:09.3650505Z running benchmark:  78% 39/50 [00:06<00:01,  6.48it/s]
2025-08-14T21:40:09.5323472Z running benchmark:  80% 40/50 [00:06<00:01,  6.46it/s]
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2025-08-14T21:40:09.9978465Z running benchmark:  86% 43/50 [00:06<00:01,  6.38it/s]
2025-08-14T21:40:10.1508839Z running benchmark:  88% 44/50 [00:06<00:00,  6.39it/s]
2025-08-14T21:40:10.3038800Z running benchmark:  90% 45/50 [00:07<00:00,  6.43it/s]
2025-08-14T21:40:10.4590065Z running benchmark:  92% 46/50 [00:07<00:00,  6.46it/s]
2025-08-14T21:40:10.6273655Z running benchmark:  94% 47/50 [00:07<00:00,  6.46it/s]
2025-08-14T21:40:10.7815319Z running benchmark:  96% 48/50 [00:07<00:00,  6.29it/s]
2025-08-14T21:40:10.9374193Z running benchmark:  98% 49/50 [00:07<00:00,  6.35it/s]
2025-08-14T21:40:10.9374676Z running benchmark: 100% 50/50 [00:07<00:00,  6.37it/s]
2025-08-14T21:40:10.9375100Z running benchmark: 100% 50/50 [00:07<00:00,  6.34it/s]
2025-08-14T21:40:11.0473040Z 2.653x
2025-08-14T21:40:11.0473527Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T21:40:12.5631836Z + cat /var/lib/jenkins/workspace/test/test-reports/inductor_inference_densenet121_export-aot-inductor_amp_static_cpu_smoketest.csv
2025-08-14T21:40:12.5651174Z 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
2025-08-14T21:40:12.5651942Z cpu,densenet121,64,2.652556,42.017466,24.927102,0.961689,517.423514,538.036224,0,0,0,0,0,0,1
2025-08-14T21:40:12.5652715Z + 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
2025-08-14T21:40:12.8061186Z densenet121                        2.652556
2025-08-14T21:40:12.8412311Z + IFS=,
2025-08-14T21:40:12.8412544Z + read -r -a model_cfg
2025-08-14T21:40:12.8413025Z + local model_name=hf_DistilBert
2025-08-14T21:40:12.8413254Z + local data_type=amp
2025-08-14T21:40:12.8413456Z + local speedup_target=1.2926442
2025-08-14T21:40:12.8413683Z + local backend=export-aot-inductor
2025-08-14T21:40:12.8413911Z + [[ default == \c\p\p ]]
2025-08-14T21:40:12.8414149Z + unset TORCHINDUCTOR_CPP_WRAPPER
2025-08-14T21:40:12.8414680Z + local output_name=/var/lib/jenkins/workspace/test/test-reports/inductor_inference_hf_DistilBert_export-aot-inductor_amp_dynamic_cpu_smoketest.csv
2025-08-14T21:40:12.8415198Z + [[ dynamic == \d\y\n\a\m\i\c ]]
2025-08-14T21:40:12.8416190Z + taskset -c 0-93 python benchmarks/dynamo/torchbench.py --inference --performance --amp -dcpu -n50 --only hf_DistilBert --dynamic-shapes --dynamic-batch-only --freezing --timeout 9000 --export-aot-inductor --output /var/lib/jenkins/workspace/test/test-reports/inductor_inference_hf_DistilBert_export-aot-inductor_amp_dynamic_cpu_smoketest.csv
2025-08-14T21:40:14.8949278Z 
2025-08-14T21:40:15.4987879Z loading model: 0it [00:00, ?it/s]
2025-08-14T21:40:15.4988454Z 
2025-08-14T21:40:15.5018247Z config.json:   0% 0.00/483 [00:00<?, ?B/s]
2025-08-14T21:40:15.5018541Z config.json: 100% 483/483 [00:00<00:00, 142kB/s]
2025-08-14T21:40:16.9807127Z 
2025-08-14T21:40:16.9807606Z loading model: 0it [00:02, ?it/s]
2025-08-14T21:40:16.9807980Z cpu  eval  hf_DistilBert                      
2025-08-14T21:40:18.4111363Z skipping cudagraphs due to cpp wrapper enabled
2025-08-14T21:40:32.9067342Z 
2025-08-14T21:40:33.0128935Z running benchmark:   0% 0/50 [00:00<?, ?it/s]
2025-08-14T21:40:33.1187653Z running benchmark:   8% 4/50 [00:00<00:01, 37.59it/s]
2025-08-14T21:40:33.2243243Z running benchmark:  20% 10/50 [00:00<00:00, 48.76it/s]
2025-08-14T21:40:33.3307723Z running benchmark:  32% 16/50 [00:00<00:00, 52.44it/s]
2025-08-14T21:40:33.4510983Z running benchmark:  44% 22/50 [00:00<00:00, 54.00it/s]
2025-08-14T21:40:33.5568312Z running benchmark:  56% 28/50 [00:00<00:00, 52.40it/s]
2025-08-14T21:40:33.6622945Z running benchmark:  68% 34/50 [00:00<00:00, 53.81it/s]
2025-08-14T21:40:33.7677189Z running benchmark:  80% 40/50 [00:00<00:00, 54.79it/s]
2025-08-14T21:40:33.8378665Z running benchmark:  92% 46/50 [00:00<00:00, 55.45it/s]
2025-08-14T21:40:33.8379172Z running benchmark: 100% 50/50 [00:00<00:00, 53.67it/s]
2025-08-14T21:40:33.9207941Z 1.905x
2025-08-14T21:40:33.9208307Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T21:40:34.9925106Z + cat /var/lib/jenkins/workspace/test/test-reports/inductor_inference_hf_DistilBert_export-aot-inductor_amp_dynamic_cpu_smoketest.csv
2025-08-14T21:40:34.9946472Z 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
2025-08-14T21:40:34.9947209Z cpu,hf_DistilBert,1,1.904979,5.929410,15.511754,0.550576,170.571366,309.805056,0,0,0,0,0,0,1
2025-08-14T21:40:34.9947917Z + python benchmarks/dynamo/check_perf_csv.py -f /var/lib/jenkins/workspace/test/test-reports/inductor_inference_hf_DistilBert_export-aot-inductor_amp_dynamic_cpu_smoketest.csv -t 1.2926442 -s 0.99
2025-08-14T21:40:35.2444433Z hf_DistilBert                      1.904979
2025-08-14T21:40:35.2799544Z + IFS=,
2025-08-14T21:40:35.2799778Z + read -r -a model_cfg
2025-08-14T21:40:35.2799988Z + local model_name=hf_Bart
2025-08-14T21:40:35.2800192Z + local data_type=amp
2025-08-14T21:40:35.2800394Z + local speedup_target=1.19515416
2025-08-14T21:40:35.2800620Z + local backend=export-aot-inductor
2025-08-14T21:40:35.2800855Z + [[ default == \c\p\p ]]
2025-08-14T21:40:35.2801065Z + unset TORCHINDUCTOR_CPP_WRAPPER
2025-08-14T21:40:35.2801590Z + local output_name=/var/lib/jenkins/workspace/test/test-reports/inductor_inference_hf_Bart_export-aot-inductor_amp_dynamic_cpu_smoketest.csv
2025-08-14T21:40:35.2802112Z + [[ dynamic == \d\y\n\a\m\i\c ]]
2025-08-14T21:40:35.2803360Z + taskset -c 0-93 python benchmarks/dynamo/torchbench.py --inference --performance --amp -dcpu -n50 --only hf_Bart --dynamic-shapes --dynamic-batch-only --freezing --timeout 9000 --export-aot-inductor --output /var/lib/jenkins/workspace/test/test-reports/inductor_inference_hf_Bart_export-aot-inductor_amp_dynamic_cpu_smoketest.csv
2025-08-14T21:40:37.3332293Z 
2025-08-14T21:40:37.9188660Z loading model: 0it [00:00, ?it/s]
2025-08-14T21:40:37.9188865Z 
2025-08-14T21:40:37.9189212Z config.json: 0.00B [00:00, ?B/s]
2025-08-14T21:40:37.9189425Z config.json: 1.72kB [00:00, 14.6MB/s]
2025-08-14T21:40:40.6292361Z 
2025-08-14T21:40:40.6292953Z loading model: 0it [00:03, ?it/s]
2025-08-14T21:40:40.6293381Z cpu  eval  hf_Bart                            
2025-08-14T21:40:42.6245590Z skipping cudagraphs due to cpp wrapper enabled
2025-08-14T21:40:59.1933583Z 
2025-08-14T21:40:59.3303781Z running benchmark:   0% 0/50 [00:00<?, ?it/s]
2025-08-14T21:40:59.4317674Z running benchmark:   4% 2/50 [00:00<00:03, 14.57it/s]
2025-08-14T21:40:59.5616459Z running benchmark:   8% 4/50 [00:00<00:02, 17.21it/s]
2025-08-14T21:40:59.6911884Z running benchmark:  14% 7/50 [00:00<00:02, 20.06it/s]
2025-08-14T21:40:59.8206941Z running benchmark:  20% 10/50 [00:00<00:01, 21.32it/s]
2025-08-14T21:40:59.9500454Z running benchmark:  26% 13/50 [00:00<00:01, 22.00it/s]
2025-08-14T21:41:00.0792051Z running benchmark:  32% 16/50 [00:00<00:01, 22.41it/s]
2025-08-14T21:41:00.2076656Z running benchmark:  38% 19/50 [00:00<00:01, 22.68it/s]
2025-08-14T21:41:00.3375600Z running benchmark:  44% 22/50 [00:01<00:01, 22.89it/s]
2025-08-14T21:41:00.4743687Z running benchmark:  50% 25/50 [00:01<00:01, 22.96it/s]
2025-08-14T21:41:00.6095714Z running benchmark:  56% 28/50 [00:01<00:00, 22.63it/s]
2025-08-14T21:41:00.7384682Z running benchmark:  62% 31/50 [00:01<00:00, 22.50it/s]
2025-08-14T21:41:00.8680778Z running benchmark:  68% 34/50 [00:01<00:00, 22.72it/s]
2025-08-14T21:41:00.9984737Z running benchmark:  74% 37/50 [00:01<00:00, 22.85it/s]
2025-08-14T21:41:01.1270633Z running benchmark:  80% 40/50 [00:01<00:00, 22.90it/s]
2025-08-14T21:41:01.2550024Z running benchmark:  86% 43/50 [00:01<00:00, 23.03it/s]
2025-08-14T21:41:01.3831510Z running benchmark:  92% 46/50 [00:02<00:00, 23.15it/s]
2025-08-14T21:41:01.4258051Z running benchmark:  98% 49/50 [00:02<00:00, 23.23it/s]
2025-08-14T21:41:01.4258515Z running benchmark: 100% 50/50 [00:02<00:00, 22.39it/s]
2025-08-14T21:41:01.5348991Z 1.767x
2025-08-14T21:41:01.5349541Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T21:41:02.8842642Z + cat /var/lib/jenkins/workspace/test/test-reports/inductor_inference_hf_Bart_export-aot-inductor_amp_dynamic_cpu_smoketest.csv
2025-08-14T21:41:02.8854966Z 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
2025-08-14T21:41:02.8855653Z cpu,hf_Bart,1,1.767388,15.408236,17.965619,0.550080,305.523917,555.417190,0,0,0,0,0,0,1
2025-08-14T21:41:02.8856534Z + python benchmarks/dynamo/check_perf_csv.py -f /var/lib/jenkins/workspace/test/test-reports/inductor_inference_hf_Bart_export-aot-inductor_amp_dynamic_cpu_smoketest.csv -t 1.19515416 -s 0.99
2025-08-14T21:41:03.1330176Z hf_Bart                            1.767388
2025-08-14T21:41:03.1678861Z + IFS=,
2025-08-14T21:41:03.1679097Z + read -r -a model_cfg
2025-08-14T21:41:03.1681884Z + sccache_epilogue
2025-08-14T21:41:03.1682147Z + echo '::group::Sccache Compilation Log'
2025-08-14T21:41:03.1682685Z ##[group]Sccache Compilation Log
2025-08-14T21:41:03.1684154Z + echo '=================== sccache compilation log ==================='
2025-08-14T21:41:03.1684512Z =================== sccache compilation log ===================
2025-08-14T21:41:03.1684967Z + python /var/lib/jenkins/workspace/.ci/pytorch/print_sccache_log.py /var/lib/jenkins/sccache_error.log
2025-08-14T21:41:03.1917232Z + echo '=========== If your build fails, please take a look at the log above for possible reasons ==========='
2025-08-14T21:41:03.1917690Z =========== If your build fails, please take a look at the log above for possible reasons ===========
2025-08-14T21:41:03.1917983Z + sccache --show-stats
2025-08-14T21:41:03.1943658Z Compile requests                    242
2025-08-14T21:41:03.1943870Z Compile requests executed            16
2025-08-14T21:41:03.1944079Z Cache hits                           12
2025-08-14T21:41:03.1944265Z Cache hits (C/C++)                   12
2025-08-14T21:41:03.1944442Z Cache misses                          4
2025-08-14T21:41:03.1944623Z Cache misses (C/C++)                  4
2025-08-14T21:41:03.1944813Z Cache hits rate                   75.00 %
2025-08-14T21:41:03.1945002Z Cache hits rate (C/C++)           75.00 %
2025-08-14T21:41:03.1945195Z Cache timeouts                        0
2025-08-14T21:41:03.1945387Z Cache read errors                     0
2025-08-14T21:41:03.1945563Z Forced recaches                       0
2025-08-14T21:41:03.1945747Z Cache write errors                    0
2025-08-14T21:41:03.1945931Z Cache errors                          0
2025-08-14T21:41:03.1946106Z Compilations                          4
2025-08-14T21:41:03.1946369Z Compilation failures                  0
2025-08-14T21:41:03.1946603Z Non-cacheable compilations            0
2025-08-14T21:41:03.1946846Z Non-cacheable calls                  39
2025-08-14T21:41:03.1947026Z Non-compilation calls               187
2025-08-14T21:41:03.1947216Z Unsupported compiler calls            0
2025-08-14T21:41:03.1947408Z Average cache write               0.044 s
2025-08-14T21:41:03.1947596Z Average compiler                  2.557 s
2025-08-14T21:41:03.1947791Z Average cache read hit            0.070 s
2025-08-14T21:41:03.1947988Z Failed distributed compilations       0
2025-08-14T21:41:03.1948120Z 
2025-08-14T21:41:03.1948190Z Non-cacheable reasons:
2025-08-14T21:41:03.1948409Z -E                                   31
2025-08-14T21:41:03.1948596Z unknown source language               8
2025-08-14T21:41:03.1948714Z 
2025-08-14T21:41:03.1948875Z Cache location                  s3, name: ossci-compiler-cache-circleci-v2, prefix: /
2025-08-14T21:41:03.1949146Z Version (client)                0.10.0
2025-08-14T21:41:03.1949341Z + sccache --stop-server
2025-08-14T21:41:03.1971567Z Stopping sccache server...
2025-08-14T21:41:03.1973500Z Compile requests                    242
2025-08-14T21:41:03.1973781Z Compile requests executed            16
2025-08-14T21:41:03.1974020Z Cache hits                           12
2025-08-14T21:41:03.1974228Z Cache hits (C/C++)                   12
2025-08-14T21:41:03.1974428Z Cache misses                          4
2025-08-14T21:41:03.1974633Z Cache misses (C/C++)                  4
2025-08-14T21:41:03.1974845Z Cache hits rate                   75.00 %
2025-08-14T21:41:03.1975063Z Cache hits rate (C/C++)           75.00 %
2025-08-14T21:41:03.1975283Z Cache timeouts                        0
2025-08-14T21:41:03.1975490Z Cache read errors                     0
2025-08-14T21:41:03.1975693Z Forced recaches                       0
2025-08-14T21:41:03.1976131Z Cache write errors                    0
2025-08-14T21:41:03.1976350Z Cache errors                          0
2025-08-14T21:41:03.1976567Z Compilations                          4
2025-08-14T21:41:03.1976791Z Compilation failures                  0
2025-08-14T21:41:03.1977099Z Non-cacheable compilations            0
2025-08-14T21:41:03.1977385Z Non-cacheable calls                  39
2025-08-14T21:41:03.1977631Z Non-compilation calls               187
2025-08-14T21:41:03.1977851Z Unsupported compiler calls            0
2025-08-14T21:41:03.1978074Z Average cache write               0.044 s
2025-08-14T21:41:03.1978291Z Average compiler                  2.557 s
2025-08-14T21:41:03.1978512Z Average cache read hit            0.070 s
2025-08-14T21:41:03.1978736Z Failed distributed compilations       0
2025-08-14T21:41:03.1978876Z 
2025-08-14T21:41:03.1978957Z Non-cacheable reasons:
2025-08-14T21:41:03.1979134Z -E                                   31
2025-08-14T21:41:03.1979436Z unknown source language               8
2025-08-14T21:41:03.1979578Z 
2025-08-14T21:41:03.1979744Z Cache location                  s3, name: ossci-compiler-cache-circleci-v2, prefix: /
2025-08-14T21:41:03.1980039Z Version (client)                0.10.0
2025-08-14T21:41:03.1980278Z + echo ::endgroup::
2025-08-14T21:41:03.1980649Z ##[endgroup]
2025-08-14T21:41:03.1980820Z + cleanup_workspace
2025-08-14T21:41:03.1981155Z + echo 'sudo may print the following warning message that can be ignored. The chown command will still run.'
2025-08-14T21:41:03.1981660Z sudo may print the following warning message that can be ignored. The chown command will still run.
2025-08-14T21:41:03.1982075Z + echo '    sudo: setrlimit(RLIMIT_STACK): Operation not permitted'
2025-08-14T21:41:03.1982408Z     sudo: setrlimit(RLIMIT_STACK): Operation not permitted
2025-08-14T21:41:03.1982775Z + echo 'For more details refer to https://github.com/sudo-project/sudo/issues/42'
2025-08-14T21:41:03.1983168Z For more details refer to https://github.com/sudo-project/sudo/issues/42
2025-08-14T21:41:03.1983485Z + sudo chown -R 1000 /var/lib/jenkins/workspace
2025-08-14T21:41:03.5975134Z ##[group]Run pytorch/test-infra/.github/actions/upload-benchmark-results@main
2025-08-14T21:41:03.5975524Z with:
2025-08-14T21:41:03.5975715Z   benchmark-results-dir: test/test-reports
2025-08-14T21:41:03.5975940Z   dry-run: false
2025-08-14T21:41:03.5976109Z   schema-version: v3
2025-08-14T21:41:03.5976486Z   github-token: ***
2025-08-14T21:41:03.5976655Z env:
2025-08-14T21:41:03.5976810Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:41:03.5977136Z   DOCKER_CONTAINER_ID: 3d5faa61ab790c4694fb04ea0659153d28b67bfb3a176de3f84bfb4b1f113c93
2025-08-14T21:41:03.5977472Z ##[endgroup]
2025-08-14T21:41:03.6000138Z ##[group]Run set -eux
2025-08-14T21:41:03.6000339Z set -eux
2025-08-14T21:41:03.6000647Z python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0
2025-08-14T21:41:03.6000918Z 
2025-08-14T21:41:03.6001073Z DEVICE_NAME=""
2025-08-14T21:41:03.6001245Z DEVICE_TYPE=""
2025-08-14T21:41:03.6001406Z 
2025-08-14T21:41:03.6001601Z if command -v nvidia-smi; then
2025-08-14T21:41:03.6001901Z   # NB: I'm using PyTorch here to get the device name, however, it needs to
2025-08-14T21:41:03.6002250Z   # install the correct version of PyTorch manually for now. Any PyTorch
2025-08-14T21:41:03.6002581Z   # version is fine, I just use 2.7.1 to satify PYPIDEP linter
2025-08-14T21:41:03.6002850Z   python3 -mpip install torch==2.7.1
2025-08-14T21:41:03.6003077Z elif command -v rocminfo; then
2025-08-14T21:41:03.6003341Z   # NB: Installing torch on ROCm runner with pip here causes CI to fail
2025-08-14T21:41:03.6003680Z   # with a memoryview is too large error only on MI300 runners. Is pip
2025-08-14T21:41:03.6004021Z   # version on ROCm runner there too old? As a workaround, let's use the
2025-08-14T21:41:03.6004314Z   # GPU device name coming from rocminfo instead
2025-08-14T21:41:03.6004547Z   DEVICE_NAME=rocm
2025-08-14T21:41:03.6004858Z   DEVICE_TYPE=$(rocminfo | grep "Marketing Name" | tail -n1 | awk -F':' '{print $2}' | xargs)
2025-08-14T21:41:03.6005160Z fi
2025-08-14T21:41:03.6005303Z 
2025-08-14T21:41:03.6005489Z echo "DEVICE_NAME=$DEVICE_NAME" >> $GITHUB_ENV
2025-08-14T21:41:03.6005745Z echo "DEVICE_TYPE=$DEVICE_TYPE" >> $GITHUB_ENV
2025-08-14T21:41:03.6013978Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T21:41:03.6014226Z env:
2025-08-14T21:41:03.6014393Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:41:03.6014688Z   DOCKER_CONTAINER_ID: 3d5faa61ab790c4694fb04ea0659153d28b67bfb3a176de3f84bfb4b1f113c93
2025-08-14T21:41:03.6015005Z ##[endgroup]
2025-08-14T21:41:03.6039703Z + python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0
2025-08-14T21:41:03.7689146Z Defaulting to user installation because normal site-packages is not writeable
2025-08-14T21:41:04.4567125Z Collecting boto3==1.35.33
2025-08-14T21:41:04.4697640Z   Downloading boto3-1.35.33-py3-none-any.whl (139 kB)
2025-08-14T21:41:04.6694780Z Collecting psutil==7.0.0
2025-08-14T21:41:04.6723921Z   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)
2025-08-14T21:41:04.6926645Z Collecting pynvml==12.0.0
2025-08-14T21:41:04.6952450Z   Downloading pynvml-12.0.0-py3-none-any.whl (26 kB)
2025-08-14T21:41:05.4481770Z Collecting botocore<1.36.0,>=1.35.33
2025-08-14T21:41:05.4509028Z   Downloading botocore-1.35.99-py3-none-any.whl (13.3 MB)
2025-08-14T21:41:05.8657788Z Collecting s3transfer<0.11.0,>=0.10.0
2025-08-14T21:41:05.8683126Z   Downloading s3transfer-0.10.4-py3-none-any.whl (83 kB)
2025-08-14T21:41:05.9403821Z 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)
2025-08-14T21:41:06.0296118Z Collecting nvidia-ml-py<13.0.0a0,>=12.0.0
2025-08-14T21:41:06.0320877Z   Downloading nvidia_ml_py-12.575.51-py3-none-any.whl (47 kB)
2025-08-14T21:41:06.1162401Z 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)
2025-08-14T21:41:06.1164408Z 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)
2025-08-14T21:41:06.2394950Z 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)
2025-08-14T21:41:06.3288598Z Installing collected packages: botocore, s3transfer, nvidia-ml-py, pynvml, psutil, boto3
2025-08-14T21:41:06.9455662Z   Attempting uninstall: nvidia-ml-py
2025-08-14T21:41:06.9456329Z     Found existing installation: nvidia-ml-py 11.525.84
2025-08-14T21:41:06.9463434Z     Uninstalling nvidia-ml-py-11.525.84:
2025-08-14T21:41:06.9579423Z       Successfully uninstalled nvidia-ml-py-11.525.84
2025-08-14T21:41:07.2045610Z   Attempting uninstall: psutil
2025-08-14T21:41:07.2046039Z     Found existing installation: psutil 5.9.8
2025-08-14T21:41:07.2086403Z     Uninstalling psutil-5.9.8:
2025-08-14T21:41:07.2090389Z       Successfully uninstalled psutil-5.9.8
2025-08-14T21:41:07.6360543Z 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
2025-08-14T21:41:07.7286051Z + DEVICE_NAME=
2025-08-14T21:41:07.7286403Z + DEVICE_TYPE=
2025-08-14T21:41:07.7286667Z + command -v nvidia-smi
2025-08-14T21:41:07.7287318Z + command -v rocminfo
2025-08-14T21:41:07.7287577Z + echo DEVICE_NAME=
2025-08-14T21:41:07.7287775Z + echo DEVICE_TYPE=
2025-08-14T21:41:07.7377780Z ##[group]Run set -eux
2025-08-14T21:41:07.7377970Z set -eux
2025-08-14T21:41:07.7378116Z 
2025-08-14T21:41:07.7378273Z if [[ -z "${GITHUB_TOKEN}" ]]; then
2025-08-14T21:41:07.7378496Z   echo "Missing github-token input"
2025-08-14T21:41:07.7378690Z   exit 1
2025-08-14T21:41:07.7378837Z fi
2025-08-14T21:41:07.7382911Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T21:41:07.7383141Z env:
2025-08-14T21:41:07.7383285Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:41:07.7383569Z   DOCKER_CONTAINER_ID: 3d5faa61ab790c4694fb04ea0659153d28b67bfb3a176de3f84bfb4b1f113c93
2025-08-14T21:41:07.7383864Z   DEVICE_NAME: 
2025-08-14T21:41:07.7384012Z   DEVICE_TYPE: 
2025-08-14T21:41:07.7384339Z   GITHUB_TOKEN: ***
2025-08-14T21:41:07.7384492Z ##[endgroup]
2025-08-14T21:41:07.7403912Z + [[ -z *** ]]
2025-08-14T21:41:07.7566866Z ##[group]Run pytorch/test-infra/.github/actions/get-workflow-job-id@main
2025-08-14T21:41:07.7567130Z with:
2025-08-14T21:41:07.7567384Z   github-token: ***
2025-08-14T21:41:07.7567550Z env:
2025-08-14T21:41:07.7567691Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:41:07.7567976Z   DOCKER_CONTAINER_ID: 3d5faa61ab790c4694fb04ea0659153d28b67bfb3a176de3f84bfb4b1f113c93
2025-08-14T21:41:07.7568270Z   DEVICE_NAME: 
2025-08-14T21:41:07.7568416Z   DEVICE_TYPE: 
2025-08-14T21:41:07.7568570Z ##[endgroup]
2025-08-14T21:41:07.7718402Z ##[group]Run set -eux
2025-08-14T21:41:07.7718585Z set -eux
2025-08-14T21:41:07.7718736Z 
2025-08-14T21:41:07.7719015Z python3 "${GITHUB_ACTION_PATH}/../../scripts/get_workflow_job_id.py" "${GITHUB_RUN_ID}" "${RUNNER_NAME}"
2025-08-14T21:41:07.7722903Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T21:41:07.7723132Z env:
2025-08-14T21:41:07.7723275Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:41:07.7723541Z   DOCKER_CONTAINER_ID: 3d5faa61ab790c4694fb04ea0659153d28b67bfb3a176de3f84bfb4b1f113c93
2025-08-14T21:41:07.7723833Z   DEVICE_NAME: 
2025-08-14T21:41:07.7723985Z   DEVICE_TYPE: 
2025-08-14T21:41:07.7724237Z   GITHUB_TOKEN: ***
2025-08-14T21:41:07.7724387Z ##[endgroup]
2025-08-14T21:41:07.7742418Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/get-workflow-job-id/../../scripts/get_workflow_job_id.py 16976255153 i-0b6e368a8d2412e8c
2025-08-14T21:41:08.8301822Z setting job-id=48128039130
2025-08-14T21:41:08.8302467Z setting job-name=linux-jammy-cpu-py3.9-gcc11-inductor / test (inductor_torchbench_cpu_smoketest_perf, 1, 1, linux.24xl.spr-metal)
2025-08-14T21:41:08.8383710Z ##[group]Run set -eux
2025-08-14T21:41:08.8383891Z set -eux
2025-08-14T21:41:08.8384037Z 
2025-08-14T21:41:08.8384274Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_metadata.py" \
2025-08-14T21:41:08.8384566Z   --schema-version "${SCHEMA_VERSION}" \
2025-08-14T21:41:08.8384779Z   --repo "${REPO}" \
2025-08-14T21:41:08.8384971Z   --head-branch "${HEAD_BRANCH}" \
2025-08-14T21:41:08.8385168Z   --head-sha "${HEAD_SHA}" \
2025-08-14T21:41:08.8385423Z   --workflow-id "${WORKFLOW_RUN_ID}" \
2025-08-14T21:41:08.8385638Z   --run-attempt "${RUN_ATTEMPT}" \
2025-08-14T21:41:08.8385836Z   --job-id "${JOB_ID}" \
2025-08-14T21:41:08.8386030Z   --job-name "${JOB_NAME}"
2025-08-14T21:41:08.8389707Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T21:41:08.8389943Z env:
2025-08-14T21:41:08.8390092Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:41:08.8390369Z   DOCKER_CONTAINER_ID: 3d5faa61ab790c4694fb04ea0659153d28b67bfb3a176de3f84bfb4b1f113c93
2025-08-14T21:41:08.8390668Z   DEVICE_NAME: 
2025-08-14T21:41:08.8390820Z   DEVICE_TYPE: 
2025-08-14T21:41:08.8390971Z   SCHEMA_VERSION: v3
2025-08-14T21:41:08.8391129Z   REPO: pytorch/pytorch
2025-08-14T21:41:08.8391300Z   HEAD_BRANCH: refs/heads/main
2025-08-14T21:41:08.8391501Z   HEAD_SHA: 1fc683cf17c8c673044538d10266c00f92987be2
2025-08-14T21:41:08.8391704Z   WORKFLOW_RUN_ID: 16976255153
2025-08-14T21:41:08.8391873Z   RUN_ATTEMPT: 1
2025-08-14T21:41:08.8392025Z   JOB_ID: 48128039130
2025-08-14T21:41:08.8392367Z   JOB_NAME: linux-jammy-cpu-py3.9-gcc11-inductor / test (inductor_torchbench_cpu_smoketest_perf, 1, 1, linux.24xl.spr-metal)
2025-08-14T21:41:08.8392728Z ##[endgroup]
2025-08-14T21:41:08.8412917Z + 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 1fc683cf17c8c673044538d10266c00f92987be2 --workflow-id 16976255153 --run-attempt 1 --job-id 48128039130 --job-name 'linux-jammy-cpu-py3.9-gcc11-inductor / test (inductor_torchbench_cpu_smoketest_perf, 1, 1, linux.24xl.spr-metal)'
2025-08-14T21:41:08.8648698Z ##[group]Run set -eux
2025-08-14T21:41:08.8648871Z set -eux
2025-08-14T21:41:08.8649020Z 
2025-08-14T21:41:08.8649255Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_runners_info.py"
2025-08-14T21:41:08.8652770Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T21:41:08.8652996Z env:
2025-08-14T21:41:08.8653144Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:41:08.8653417Z   DOCKER_CONTAINER_ID: 3d5faa61ab790c4694fb04ea0659153d28b67bfb3a176de3f84bfb4b1f113c93
2025-08-14T21:41:08.8653717Z   DEVICE_NAME: 
2025-08-14T21:41:08.8653869Z   DEVICE_TYPE: 
2025-08-14T21:41:08.8654007Z ##[endgroup]
2025-08-14T21:41:08.8670859Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_runners_info.py
2025-08-14T21:41:08.8952328Z INFO:root:Fail to import torch to get the device name
2025-08-14T21:41:08.9037806Z ##[group]Run set -eux
2025-08-14T21:41:08.9037987Z set -eux
2025-08-14T21:41:08.9038135Z 
2025-08-14T21:41:08.9038295Z # TODO (huydhn): Implement this part
2025-08-14T21:41:08.9038533Z echo "dependencies={}" >> "${GITHUB_OUTPUT}"
2025-08-14T21:41:08.9041914Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T21:41:08.9042140Z env:
2025-08-14T21:41:08.9042295Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:41:08.9042568Z   DOCKER_CONTAINER_ID: 3d5faa61ab790c4694fb04ea0659153d28b67bfb3a176de3f84bfb4b1f113c93
2025-08-14T21:41:08.9042940Z   DEVICE_NAME: 
2025-08-14T21:41:08.9043121Z   DEVICE_TYPE: 
2025-08-14T21:41:08.9043267Z ##[endgroup]
2025-08-14T21:41:08.9059427Z + echo 'dependencies={}'
2025-08-14T21:41:08.9097309Z ##[group]Run set -eux
2025-08-14T21:41:08.9097498Z set -eux
2025-08-14T21:41:08.9097645Z 
2025-08-14T21:41:08.9097822Z if [[ ! -d "${BENCHMARK_RESULTS_DIR}" ]]; then
2025-08-14T21:41:08.9098086Z   echo "${BENCHMARK_RESULTS_DIR} does not exist, skipping"
2025-08-14T21:41:08.9098361Z   # We don't want the job to fail if the directory doesn't exist
2025-08-14T21:41:08.9098588Z   exit 0
2025-08-14T21:41:08.9098732Z fi
2025-08-14T21:41:08.9098904Z 
2025-08-14T21:41:08.9099060Z if [[ "${DRY_RUN}" == "true" ]]; then
2025-08-14T21:41:08.9099338Z   python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \
2025-08-14T21:41:08.9099657Z     --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \
2025-08-14T21:41:08.9099907Z     --metadata "${BENCHMARK_METADATA}" \
2025-08-14T21:41:08.9100124Z     --runners "${RUNNER_INFO}" \
2025-08-14T21:41:08.9100334Z     --dependencies "${DEPENDENCIES}" \
2025-08-14T21:41:08.9100527Z     --dry-run
2025-08-14T21:41:08.9100690Z else
2025-08-14T21:41:08.9100921Z   python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \
2025-08-14T21:41:08.9101224Z     --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \
2025-08-14T21:41:08.9101463Z     --metadata "${BENCHMARK_METADATA}" \
2025-08-14T21:41:08.9101672Z     --runners "${RUNNER_INFO}" \
2025-08-14T21:41:08.9101880Z     --dependencies "${DEPENDENCIES}"
2025-08-14T21:41:08.9102060Z fi
2025-08-14T21:41:08.9105263Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T21:41:08.9105493Z env:
2025-08-14T21:41:08.9105639Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:41:08.9105932Z   DOCKER_CONTAINER_ID: 3d5faa61ab790c4694fb04ea0659153d28b67bfb3a176de3f84bfb4b1f113c93
2025-08-14T21:41:08.9106233Z   DEVICE_NAME: 
2025-08-14T21:41:08.9106378Z   DEVICE_TYPE: 
2025-08-14T21:41:08.9106552Z   BENCHMARK_RESULTS_DIR: test/test-reports
2025-08-14T21:41:08.9106746Z   DRY_RUN: false
2025-08-14T21:41:08.9107540Z   BENCHMARK_METADATA: {"timestamp": 1755207668, "schema_version": "v3", "name": "linux-jammy-cpu-py3.9-gcc11-inductor / test (inductor_torchbench_cpu_smoketest_perf, 1, 1, linux.24xl.spr-metal)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "1fc683cf17c8c673044538d10266c00f92987be2", "workflow_id": 16976255153, "run_attempt": 1, "job_id": 48128039130}
2025-08-14T21:41:08.9108527Z   RUNNER_INFO: [{"cpu_info": "x86_64", "cpu_count": 96, "avail_mem_in_gb": 188, "extra_info": {"hostname": "ip-10-0-71-126.ec2.internal"}, "name": "", "type": ""}]
2025-08-14T21:41:08.9108872Z   DEPENDENCIES: {}
2025-08-14T21:41:08.9109034Z ##[endgroup]
2025-08-14T21:41:08.9123828Z + [[ ! -d test/test-reports ]]
2025-08-14T21:41:08.9124064Z + [[ false == \t\r\u\e ]]
2025-08-14T21:41:08.9125953Z + 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": 1755207668, "schema_version": "v3", "name": "linux-jammy-cpu-py3.9-gcc11-inductor / test (inductor_torchbench_cpu_smoketest_perf, 1, 1, linux.24xl.spr-metal)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "1fc683cf17c8c673044538d10266c00f92987be2", "workflow_id": 16976255153, "run_attempt": 1, "job_id": 48128039130}' --runners '[{"cpu_info": "x86_64", "cpu_count": 96, "avail_mem_in_gb": 188, "extra_info": {"hostname": "ip-10-0-71-126.ec2.internal"}, "name": "", "type": ""}]' --dependencies '{}'
2025-08-14T21:41:09.0061304Z INFO:root:Upload test/test-reports/inductor_inference_phlippe_densenet_inductor_float32_static_cpu_smoketest.json to s3://ossci-benchmarks/v3/pytorch/pytorch/16976255153/48128039130/inductor_inference_phlippe_densenet_inductor_float32_static_cpu_smoketest.json
2025-08-14T21:41:09.0234516Z INFO:botocore.credentials:Found credentials from IAM Role: gh-ci-github-action-runners-runner-role
2025-08-14T21:41:09.1861377Z 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/16976255153/48128039130/inductor_inference_phlippe_densenet_inductor_float32_static_cpu_smoketest_compilation_metrics.json
2025-08-14T21:41:09.2493173Z INFO:root:Upload test/test-reports/inductor_inference_basic_gnn_edgecnn_inductor_float32_dynamic_cpu_smoketest.json to s3://ossci-benchmarks/v3/pytorch/pytorch/16976255153/48128039130/inductor_inference_basic_gnn_edgecnn_inductor_float32_dynamic_cpu_smoketest.json
2025-08-14T21:41:09.3448608Z 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/16976255153/48128039130/inductor_inference_basic_gnn_edgecnn_inductor_float32_dynamic_cpu_smoketest_compilation_metrics.json
2025-08-14T21:41:09.4195298Z 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/16976255153/48128039130/inductor_inference_llama_v2_7b_16h_inductor_float32_dynamic_cpu_smoketest.json
2025-08-14T21:41:09.4897734Z 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/16976255153/48128039130/inductor_inference_llama_v2_7b_16h_inductor_float32_dynamic_cpu_smoketest_compilation_metrics.json
2025-08-14T21:41:09.5739385Z INFO:root:Upload test/test-reports/inductor_inference_resnet50_inductor_float32_dynamic_cpu_smoketest.json to s3://ossci-benchmarks/v3/pytorch/pytorch/16976255153/48128039130/inductor_inference_resnet50_inductor_float32_dynamic_cpu_smoketest.json
2025-08-14T21:41:09.6584266Z INFO:root:Upload test/test-reports/inductor_inference_resnet50_inductor_float32_dynamic_cpu_smoketest_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/16976255153/48128039130/inductor_inference_resnet50_inductor_float32_dynamic_cpu_smoketest_compilation_metrics.json
2025-08-14T21:41:09.7249807Z INFO:root:Upload test/test-reports/inductor_inference_mobilenet_v3_large_inductor_float32_static_cpu_smoketest.json to s3://ossci-benchmarks/v3/pytorch/pytorch/16976255153/48128039130/inductor_inference_mobilenet_v3_large_inductor_float32_static_cpu_smoketest.json
2025-08-14T21:41:09.7999484Z 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/16976255153/48128039130/inductor_inference_mobilenet_v3_large_inductor_float32_static_cpu_smoketest_compilation_metrics.json
2025-08-14T21:41:09.8423830Z INFO:root:Upload test/test-reports/inductor_inference_timm_resnest_inductor_float32_dynamic_cpu_smoketest.json to s3://ossci-benchmarks/v3/pytorch/pytorch/16976255153/48128039130/inductor_inference_timm_resnest_inductor_float32_dynamic_cpu_smoketest.json
2025-08-14T21:41:09.9420033Z INFO:root:Upload test/test-reports/inductor_inference_timm_resnest_inductor_float32_dynamic_cpu_smoketest_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/16976255153/48128039130/inductor_inference_timm_resnest_inductor_float32_dynamic_cpu_smoketest_compilation_metrics.json
2025-08-14T21:41:10.0397219Z INFO:root:Upload test/test-reports/inductor_inference_functorch_maml_omniglot_inductor_float32_dynamic_cpu_smoketest.json to s3://ossci-benchmarks/v3/pytorch/pytorch/16976255153/48128039130/inductor_inference_functorch_maml_omniglot_inductor_float32_dynamic_cpu_smoketest.json
2025-08-14T21:41:10.1025514Z 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/16976255153/48128039130/inductor_inference_functorch_maml_omniglot_inductor_float32_dynamic_cpu_smoketest_compilation_metrics.json
2025-08-14T21:41:10.2158792Z INFO:root:Upload test/test-reports/inductor_inference_yolov3_export-aot-inductor_float32_static_cpu_smoketest.json to s3://ossci-benchmarks/v3/pytorch/pytorch/16976255153/48128039130/inductor_inference_yolov3_export-aot-inductor_float32_static_cpu_smoketest.json
2025-08-14T21:41:10.3316714Z 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/16976255153/48128039130/inductor_inference_yolov3_export-aot-inductor_float32_static_cpu_smoketest_compilation_metrics.json
2025-08-14T21:41:10.4400468Z 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/16976255153/48128039130/inductor_inference_mobilenet_v2_export-aot-inductor_float32_static_cpu_smoketest.json
2025-08-14T21:41:10.5128091Z 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/16976255153/48128039130/inductor_inference_mobilenet_v2_export-aot-inductor_float32_static_cpu_smoketest_compilation_metrics.json
2025-08-14T21:41:10.5679350Z 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/16976255153/48128039130/inductor_inference_resnext50_32x4d_export-aot-inductor_float32_dynamic_cpu_smoketest.json
2025-08-14T21:41:10.6320057Z 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/16976255153/48128039130/inductor_inference_resnext50_32x4d_export-aot-inductor_float32_dynamic_cpu_smoketest_compilation_metrics.json
2025-08-14T21:41:10.7087619Z INFO:root:Upload test/test-reports/inductor_inference_hf_Albert_export-aot-inductor_float32_dynamic_cpu_smoketest.json to s3://ossci-benchmarks/v3/pytorch/pytorch/16976255153/48128039130/inductor_inference_hf_Albert_export-aot-inductor_float32_dynamic_cpu_smoketest.json
2025-08-14T21:41:10.7670910Z INFO:root:Upload test/test-reports/inductor_inference_hf_Albert_export-aot-inductor_float32_dynamic_cpu_smoketest_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/16976255153/48128039130/inductor_inference_hf_Albert_export-aot-inductor_float32_dynamic_cpu_smoketest_compilation_metrics.json
2025-08-14T21:41:10.8058429Z INFO:root:Upload test/test-reports/inductor_inference_resnext50_32x4d_inductor_amp_static_cpu_smoketest.json to s3://ossci-benchmarks/v3/pytorch/pytorch/16976255153/48128039130/inductor_inference_resnext50_32x4d_inductor_amp_static_cpu_smoketest.json
2025-08-14T21:41:10.8639517Z 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/16976255153/48128039130/inductor_inference_resnext50_32x4d_inductor_amp_static_cpu_smoketest_compilation_metrics.json
2025-08-14T21:41:10.9708461Z INFO:root:Upload test/test-reports/inductor_inference_vgg16_inductor_amp_static_cpu_smoketest.json to s3://ossci-benchmarks/v3/pytorch/pytorch/16976255153/48128039130/inductor_inference_vgg16_inductor_amp_static_cpu_smoketest.json
2025-08-14T21:41:11.0453913Z INFO:root:Upload test/test-reports/inductor_inference_vgg16_inductor_amp_static_cpu_smoketest_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/16976255153/48128039130/inductor_inference_vgg16_inductor_amp_static_cpu_smoketest_compilation_metrics.json
2025-08-14T21:41:11.1158531Z INFO:root:Upload test/test-reports/inductor_inference_hf_Longformer_inductor_amp_dynamic_cpu_smoketest.json to s3://ossci-benchmarks/v3/pytorch/pytorch/16976255153/48128039130/inductor_inference_hf_Longformer_inductor_amp_dynamic_cpu_smoketest.json
2025-08-14T21:41:11.1979603Z INFO:root:Upload test/test-reports/inductor_inference_hf_Longformer_inductor_amp_dynamic_cpu_smoketest_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/16976255153/48128039130/inductor_inference_hf_Longformer_inductor_amp_dynamic_cpu_smoketest_compilation_metrics.json
2025-08-14T21:41:11.5389445Z INFO:root:Upload test/test-reports/inductor_inference_hf_Bert_large_inductor_amp_dynamic_cpu_smoketest.json to s3://ossci-benchmarks/v3/pytorch/pytorch/16976255153/48128039130/inductor_inference_hf_Bert_large_inductor_amp_dynamic_cpu_smoketest.json
2025-08-14T21:41:11.5816991Z INFO:root:Upload test/test-reports/inductor_inference_hf_Bert_large_inductor_amp_dynamic_cpu_smoketest_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/16976255153/48128039130/inductor_inference_hf_Bert_large_inductor_amp_dynamic_cpu_smoketest_compilation_metrics.json
2025-08-14T21:41:11.6418529Z INFO:root:Upload test/test-reports/inductor_inference_llama_inductor_amp_static_cpu_smoketest.json to s3://ossci-benchmarks/v3/pytorch/pytorch/16976255153/48128039130/inductor_inference_llama_inductor_amp_static_cpu_smoketest.json
2025-08-14T21:41:11.7083923Z INFO:root:Upload test/test-reports/inductor_inference_llama_inductor_amp_static_cpu_smoketest_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/16976255153/48128039130/inductor_inference_llama_inductor_amp_static_cpu_smoketest_compilation_metrics.json
2025-08-14T21:41:11.7767580Z INFO:root:Upload test/test-reports/inductor_inference_timm_regnet_inductor_amp_static_cpu_smoketest.json to s3://ossci-benchmarks/v3/pytorch/pytorch/16976255153/48128039130/inductor_inference_timm_regnet_inductor_amp_static_cpu_smoketest.json
2025-08-14T21:41:11.8478239Z INFO:root:Upload test/test-reports/inductor_inference_timm_regnet_inductor_amp_static_cpu_smoketest_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/16976255153/48128039130/inductor_inference_timm_regnet_inductor_amp_static_cpu_smoketest_compilation_metrics.json
2025-08-14T21:41:11.9003858Z INFO:root:Upload test/test-reports/inductor_inference_mnasnet1_0_inductor_amp_static_cpu_smoketest.json to s3://ossci-benchmarks/v3/pytorch/pytorch/16976255153/48128039130/inductor_inference_mnasnet1_0_inductor_amp_static_cpu_smoketest.json
2025-08-14T21:41:11.9588215Z 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/16976255153/48128039130/inductor_inference_mnasnet1_0_inductor_amp_static_cpu_smoketest_compilation_metrics.json
2025-08-14T21:41:12.0365977Z INFO:root:Upload test/test-reports/inductor_inference_timm_vovnet_inductor_amp_dynamic_cpu_smoketest.json to s3://ossci-benchmarks/v3/pytorch/pytorch/16976255153/48128039130/inductor_inference_timm_vovnet_inductor_amp_dynamic_cpu_smoketest.json
2025-08-14T21:41:12.0941889Z INFO:root:Upload test/test-reports/inductor_inference_timm_vovnet_inductor_amp_dynamic_cpu_smoketest_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/16976255153/48128039130/inductor_inference_timm_vovnet_inductor_amp_dynamic_cpu_smoketest_compilation_metrics.json
2025-08-14T21:41:12.1970944Z INFO:root:Upload test/test-reports/inductor_inference_hf_GPT2_export-aot-inductor_amp_static_cpu_smoketest.json to s3://ossci-benchmarks/v3/pytorch/pytorch/16976255153/48128039130/inductor_inference_hf_GPT2_export-aot-inductor_amp_static_cpu_smoketest.json
2025-08-14T21:41:12.2595450Z INFO:root:Upload test/test-reports/inductor_inference_hf_GPT2_export-aot-inductor_amp_static_cpu_smoketest_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/16976255153/48128039130/inductor_inference_hf_GPT2_export-aot-inductor_amp_static_cpu_smoketest_compilation_metrics.json
2025-08-14T21:41:12.3353547Z INFO:root:Upload test/test-reports/inductor_inference_densenet121_export-aot-inductor_amp_static_cpu_smoketest.json to s3://ossci-benchmarks/v3/pytorch/pytorch/16976255153/48128039130/inductor_inference_densenet121_export-aot-inductor_amp_static_cpu_smoketest.json
2025-08-14T21:41:12.3770074Z 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/16976255153/48128039130/inductor_inference_densenet121_export-aot-inductor_amp_static_cpu_smoketest_compilation_metrics.json
2025-08-14T21:41:12.4328833Z INFO:root:Upload test/test-reports/inductor_inference_hf_DistilBert_export-aot-inductor_amp_dynamic_cpu_smoketest.json to s3://ossci-benchmarks/v3/pytorch/pytorch/16976255153/48128039130/inductor_inference_hf_DistilBert_export-aot-inductor_amp_dynamic_cpu_smoketest.json
2025-08-14T21:41:12.5114563Z INFO:root:Upload test/test-reports/inductor_inference_hf_DistilBert_export-aot-inductor_amp_dynamic_cpu_smoketest_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/16976255153/48128039130/inductor_inference_hf_DistilBert_export-aot-inductor_amp_dynamic_cpu_smoketest_compilation_metrics.json
2025-08-14T21:41:12.5501291Z INFO:root:Upload test/test-reports/inductor_inference_hf_Bart_export-aot-inductor_amp_dynamic_cpu_smoketest.json to s3://ossci-benchmarks/v3/pytorch/pytorch/16976255153/48128039130/inductor_inference_hf_Bart_export-aot-inductor_amp_dynamic_cpu_smoketest.json
2025-08-14T21:41:12.6074561Z INFO:root:Upload test/test-reports/inductor_inference_hf_Bart_export-aot-inductor_amp_dynamic_cpu_smoketest_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/16976255153/48128039130/inductor_inference_hf_Bart_export-aot-inductor_amp_dynamic_cpu_smoketest_compilation_metrics.json
2025-08-14T21:41:12.7293072Z ##[group]Run cat test/**/*_toprint.log || true
2025-08-14T21:41:12.7293313Z cat test/**/*_toprint.log || true
2025-08-14T21:41:12.7297189Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T21:41:12.7297417Z env:
2025-08-14T21:41:12.7297569Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:41:12.7297845Z   DOCKER_CONTAINER_ID: 3d5faa61ab790c4694fb04ea0659153d28b67bfb3a176de3f84bfb4b1f113c93
2025-08-14T21:41:12.7298142Z   DEVICE_NAME: 
2025-08-14T21:41:12.7298297Z   DEVICE_TYPE: 
2025-08-14T21:41:12.7298443Z ##[endgroup]
2025-08-14T21:41:12.7359351Z cat: 'test/**/*_toprint.log': No such file or directory
2025-08-14T21:41:12.7388252Z ##[group]Run kill "$MONITOR_SCRIPT_PID"
2025-08-14T21:41:12.7388482Z kill "$MONITOR_SCRIPT_PID"
2025-08-14T21:41:12.7392075Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T21:41:12.7392301Z env:
2025-08-14T21:41:12.7392453Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:41:12.7392733Z   DOCKER_CONTAINER_ID: 3d5faa61ab790c4694fb04ea0659153d28b67bfb3a176de3f84bfb4b1f113c93
2025-08-14T21:41:12.7393024Z   DEVICE_NAME: 
2025-08-14T21:41:12.7393169Z   DEVICE_TYPE: 
2025-08-14T21:41:12.7393322Z   MONITOR_SCRIPT_PID: 57455
2025-08-14T21:41:12.7393480Z ##[endgroup]
2025-08-14T21:41:12.7474039Z Prepare all required actions
2025-08-14T21:41:12.7474351Z Getting action download info
2025-08-14T21:41:12.9024712Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a)
2025-08-14T21:41:13.1126308Z Download action repository 'actions/upload-artifact@v4' (SHA:ea165f8d65b6e75b540449e92b4886f43607fa02)
2025-08-14T21:41:13.4833758Z ##[group]Run ./.github/actions/upload-test-artifacts
2025-08-14T21:41:13.4833973Z with:
2025-08-14T21:41:13.4834251Z   file-suffix: test-inductor_torchbench_cpu_smoketest_perf-1-1-linux.24xl.spr-metal_48128039130
2025-08-14T21:41:13.4834567Z   s3-bucket: gha-artifacts
2025-08-14T21:41:13.4834730Z env:
2025-08-14T21:41:13.4834877Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:41:13.4835151Z   DOCKER_CONTAINER_ID: 3d5faa61ab790c4694fb04ea0659153d28b67bfb3a176de3f84bfb4b1f113c93
2025-08-14T21:41:13.4835430Z   DEVICE_NAME: 
2025-08-14T21:41:13.4835582Z   DEVICE_TYPE: 
2025-08-14T21:41:13.4835729Z ##[endgroup]
2025-08-14T21:41:13.4854846Z ##[group]Run # Remove any previous test jsons if they exist
2025-08-14T21:41:13.4855167Z # Remove any previous test jsons if they exist
2025-08-14T21:41:13.4855387Z rm -f test-jsons-*.zip
2025-08-14T21:41:13.4855646Z zip -r "test-jsons-${FILE_SUFFIX}.zip" test/test-reports -i '*.json'
2025-08-14T21:41:13.4859607Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T21:41:13.4859825Z env:
2025-08-14T21:41:13.4859975Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:41:13.4860253Z   DOCKER_CONTAINER_ID: 3d5faa61ab790c4694fb04ea0659153d28b67bfb3a176de3f84bfb4b1f113c93
2025-08-14T21:41:13.4860539Z   DEVICE_NAME: 
2025-08-14T21:41:13.4860693Z   DEVICE_TYPE: 
2025-08-14T21:41:13.4861011Z   FILE_SUFFIX: test-inductor_torchbench_cpu_smoketest_perf-1-1-linux.24xl.spr-metal_48128039130
2025-08-14T21:41:13.4861314Z ##[endgroup]
2025-08-14T21:41:13.4997343Z   adding: test/test-reports/inductor_inference_phlippe_densenet_inductor_float32_static_cpu_smoketest.json (deflated 96%)
2025-08-14T21:41:13.5000384Z   adding: test/test-reports/inductor_inference_phlippe_densenet_inductor_float32_static_cpu_smoketest_compilation_metrics.json (deflated 97%)
2025-08-14T21:41:13.5003095Z   adding: test/test-reports/inductor_inference_basic_gnn_edgecnn_inductor_float32_dynamic_cpu_smoketest.json (deflated 96%)
2025-08-14T21:41:13.5007049Z   adding: test/test-reports/inductor_inference_basic_gnn_edgecnn_inductor_float32_dynamic_cpu_smoketest_compilation_metrics.json (deflated 97%)
2025-08-14T21:41:13.5009294Z   adding: test/test-reports/inductor_inference_llama_v2_7b_16h_inductor_float32_dynamic_cpu_smoketest.json (deflated 96%)
2025-08-14T21:41:13.5013678Z   adding: test/test-reports/inductor_inference_llama_v2_7b_16h_inductor_float32_dynamic_cpu_smoketest_compilation_metrics.json (deflated 97%)
2025-08-14T21:41:13.5015879Z   adding: test/test-reports/inductor_inference_resnet50_inductor_float32_dynamic_cpu_smoketest.json (deflated 96%)
2025-08-14T21:41:13.5020464Z   adding: test/test-reports/inductor_inference_resnet50_inductor_float32_dynamic_cpu_smoketest_compilation_metrics.json (deflated 97%)
2025-08-14T21:41:13.5022746Z   adding: test/test-reports/inductor_inference_mobilenet_v3_large_inductor_float32_static_cpu_smoketest.json (deflated 96%)
2025-08-14T21:41:13.5027068Z   adding: test/test-reports/inductor_inference_mobilenet_v3_large_inductor_float32_static_cpu_smoketest_compilation_metrics.json (deflated 97%)
2025-08-14T21:41:13.5029311Z   adding: test/test-reports/inductor_inference_timm_resnest_inductor_float32_dynamic_cpu_smoketest.json (deflated 96%)
2025-08-14T21:41:13.5033942Z   adding: test/test-reports/inductor_inference_timm_resnest_inductor_float32_dynamic_cpu_smoketest_compilation_metrics.json (deflated 97%)
2025-08-14T21:41:13.5036247Z   adding: test/test-reports/inductor_inference_functorch_maml_omniglot_inductor_float32_dynamic_cpu_smoketest.json (deflated 96%)
2025-08-14T21:41:13.5040778Z   adding: test/test-reports/inductor_inference_functorch_maml_omniglot_inductor_float32_dynamic_cpu_smoketest_compilation_metrics.json (deflated 97%)
2025-08-14T21:41:13.5042860Z   adding: test/test-reports/inductor_inference_yolov3_export-aot-inductor_float32_static_cpu_smoketest.json (deflated 96%)
2025-08-14T21:41:13.5046074Z   adding: test/test-reports/inductor_inference_yolov3_export-aot-inductor_float32_static_cpu_smoketest_compilation_metrics.json (deflated 97%)
2025-08-14T21:41:13.5048331Z   adding: test/test-reports/inductor_inference_mobilenet_v2_export-aot-inductor_float32_static_cpu_smoketest.json (deflated 96%)
2025-08-14T21:41:13.5051513Z   adding: test/test-reports/inductor_inference_mobilenet_v2_export-aot-inductor_float32_static_cpu_smoketest_compilation_metrics.json (deflated 97%)
2025-08-14T21:41:13.5053789Z   adding: test/test-reports/inductor_inference_resnext50_32x4d_export-aot-inductor_float32_dynamic_cpu_smoketest.json (deflated 96%)
2025-08-14T21:41:13.5056937Z   adding: test/test-reports/inductor_inference_resnext50_32x4d_export-aot-inductor_float32_dynamic_cpu_smoketest_compilation_metrics.json (deflated 97%)
2025-08-14T21:41:13.5059171Z   adding: test/test-reports/inductor_inference_hf_Albert_export-aot-inductor_float32_dynamic_cpu_smoketest.json (deflated 96%)
2025-08-14T21:41:13.5062214Z   adding: test/test-reports/inductor_inference_hf_Albert_export-aot-inductor_float32_dynamic_cpu_smoketest_compilation_metrics.json (deflated 96%)
2025-08-14T21:41:13.5064486Z   adding: test/test-reports/inductor_inference_resnext50_32x4d_inductor_amp_static_cpu_smoketest.json (deflated 96%)
2025-08-14T21:41:13.5068877Z   adding: test/test-reports/inductor_inference_resnext50_32x4d_inductor_amp_static_cpu_smoketest_compilation_metrics.json (deflated 97%)
2025-08-14T21:41:13.5071251Z   adding: test/test-reports/inductor_inference_vgg16_inductor_amp_static_cpu_smoketest.json (deflated 96%)
2025-08-14T21:41:13.5075463Z   adding: test/test-reports/inductor_inference_vgg16_inductor_amp_static_cpu_smoketest_compilation_metrics.json (deflated 97%)
2025-08-14T21:41:13.5077702Z   adding: test/test-reports/inductor_inference_hf_Longformer_inductor_amp_dynamic_cpu_smoketest.json (deflated 96%)
2025-08-14T21:41:13.5082020Z   adding: test/test-reports/inductor_inference_hf_Longformer_inductor_amp_dynamic_cpu_smoketest_compilation_metrics.json (deflated 97%)
2025-08-14T21:41:13.5084277Z   adding: test/test-reports/inductor_inference_hf_Bert_large_inductor_amp_dynamic_cpu_smoketest.json (deflated 96%)
2025-08-14T21:41:13.5088206Z   adding: test/test-reports/inductor_inference_hf_Bert_large_inductor_amp_dynamic_cpu_smoketest_compilation_metrics.json (deflated 97%)
2025-08-14T21:41:13.5090422Z   adding: test/test-reports/inductor_inference_llama_inductor_amp_static_cpu_smoketest.json (deflated 96%)
2025-08-14T21:41:13.5094534Z   adding: test/test-reports/inductor_inference_llama_inductor_amp_static_cpu_smoketest_compilation_metrics.json (deflated 97%)
2025-08-14T21:41:13.5096829Z   adding: test/test-reports/inductor_inference_timm_regnet_inductor_amp_static_cpu_smoketest.json (deflated 96%)
2025-08-14T21:41:13.5101094Z   adding: test/test-reports/inductor_inference_timm_regnet_inductor_amp_static_cpu_smoketest_compilation_metrics.json (deflated 97%)
2025-08-14T21:41:13.5103291Z   adding: test/test-reports/inductor_inference_mnasnet1_0_inductor_amp_static_cpu_smoketest.json (deflated 96%)
2025-08-14T21:41:13.5107534Z   adding: test/test-reports/inductor_inference_mnasnet1_0_inductor_amp_static_cpu_smoketest_compilation_metrics.json (deflated 97%)
2025-08-14T21:41:13.5109788Z   adding: test/test-reports/inductor_inference_timm_vovnet_inductor_amp_dynamic_cpu_smoketest.json (deflated 96%)
2025-08-14T21:41:13.5114171Z   adding: test/test-reports/inductor_inference_timm_vovnet_inductor_amp_dynamic_cpu_smoketest_compilation_metrics.json (deflated 97%)
2025-08-14T21:41:13.5116391Z   adding: test/test-reports/inductor_inference_hf_GPT2_export-aot-inductor_amp_static_cpu_smoketest.json (deflated 96%)
2025-08-14T21:41:13.5119356Z   adding: test/test-reports/inductor_inference_hf_GPT2_export-aot-inductor_amp_static_cpu_smoketest_compilation_metrics.json (deflated 96%)
2025-08-14T21:41:13.5121501Z   adding: test/test-reports/inductor_inference_densenet121_export-aot-inductor_amp_static_cpu_smoketest.json (deflated 96%)
2025-08-14T21:41:13.5124742Z   adding: test/test-reports/inductor_inference_densenet121_export-aot-inductor_amp_static_cpu_smoketest_compilation_metrics.json (deflated 97%)
2025-08-14T21:41:13.5126992Z   adding: test/test-reports/inductor_inference_hf_DistilBert_export-aot-inductor_amp_dynamic_cpu_smoketest.json (deflated 96%)
2025-08-14T21:41:13.5130006Z   adding: test/test-reports/inductor_inference_hf_DistilBert_export-aot-inductor_amp_dynamic_cpu_smoketest_compilation_metrics.json (deflated 96%)
2025-08-14T21:41:13.5132168Z   adding: test/test-reports/inductor_inference_hf_Bart_export-aot-inductor_amp_dynamic_cpu_smoketest.json (deflated 96%)
2025-08-14T21:41:13.5135057Z   adding: test/test-reports/inductor_inference_hf_Bart_export-aot-inductor_amp_dynamic_cpu_smoketest_compilation_metrics.json (deflated 96%)
2025-08-14T21:41:13.5158540Z ##[group]Run # Remove any previous test reports if they exist
2025-08-14T21:41:13.5158838Z # Remove any previous test reports if they exist
2025-08-14T21:41:13.5159068Z rm -f test-reports-*.zip
2025-08-14T21:41:13.5159353Z zip -r "test-reports-${FILE_SUFFIX}.zip" test/test-reports -i '*.xml' -i '*.csv'
2025-08-14T21:41:13.5163037Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T21:41:13.5163271Z env:
2025-08-14T21:41:13.5163428Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:41:13.5163703Z   DOCKER_CONTAINER_ID: 3d5faa61ab790c4694fb04ea0659153d28b67bfb3a176de3f84bfb4b1f113c93
2025-08-14T21:41:13.5163995Z   DEVICE_NAME: 
2025-08-14T21:41:13.5164212Z   DEVICE_TYPE: 
2025-08-14T21:41:13.5164486Z   FILE_SUFFIX: test-inductor_torchbench_cpu_smoketest_perf-1-1-linux.24xl.spr-metal_48128039130
2025-08-14T21:41:13.5164778Z ##[endgroup]
2025-08-14T21:41:13.5205415Z   adding: test/test-reports/inductor_inference_phlippe_densenet_inductor_float32_static_cpu_smoketest.csv (deflated 38%)
2025-08-14T21:41:13.5205998Z   adding: test/test-reports/inductor_inference_phlippe_densenet_inductor_float32_static_cpu_smoketest_compilation_metrics.csv (deflated 45%)
2025-08-14T21:41:13.5206562Z   adding: test/test-reports/inductor_inference_basic_gnn_edgecnn_inductor_float32_dynamic_cpu_smoketest.csv (deflated 39%)
2025-08-14T21:41:13.5207129Z   adding: test/test-reports/inductor_inference_basic_gnn_edgecnn_inductor_float32_dynamic_cpu_smoketest_compilation_metrics.csv (deflated 45%)
2025-08-14T21:41:13.5207680Z   adding: test/test-reports/inductor_inference_llama_v2_7b_16h_inductor_float32_dynamic_cpu_smoketest.csv (deflated 37%)
2025-08-14T21:41:13.5208207Z   adding: test/test-reports/inductor_inference_llama_v2_7b_16h_inductor_float32_dynamic_cpu_smoketest_compilation_metrics.csv (deflated 45%)
2025-08-14T21:41:13.5208732Z   adding: test/test-reports/inductor_inference_resnet50_inductor_float32_dynamic_cpu_smoketest.csv (deflated 38%)
2025-08-14T21:41:13.5209266Z   adding: test/test-reports/inductor_inference_resnet50_inductor_float32_dynamic_cpu_smoketest_compilation_metrics.csv (deflated 45%)
2025-08-14T21:41:13.5209805Z   adding: test/test-reports/inductor_inference_mobilenet_v3_large_inductor_float32_static_cpu_smoketest.csv (deflated 38%)
2025-08-14T21:41:13.5210348Z   adding: test/test-reports/inductor_inference_mobilenet_v3_large_inductor_float32_static_cpu_smoketest_compilation_metrics.csv (deflated 46%)
2025-08-14T21:41:13.5210893Z   adding: test/test-reports/inductor_inference_timm_resnest_inductor_float32_dynamic_cpu_smoketest.csv (deflated 38%)
2025-08-14T21:41:13.5211428Z   adding: test/test-reports/inductor_inference_timm_resnest_inductor_float32_dynamic_cpu_smoketest_compilation_metrics.csv (deflated 46%)
2025-08-14T21:41:13.5211985Z   adding: test/test-reports/inductor_inference_functorch_maml_omniglot_inductor_float32_dynamic_cpu_smoketest.csv (deflated 38%)
2025-08-14T21:41:13.5212655Z   adding: test/test-reports/inductor_inference_functorch_maml_omniglot_inductor_float32_dynamic_cpu_smoketest_compilation_metrics.csv (deflated 47%)
2025-08-14T21:41:13.5213328Z   adding: test/test-reports/inductor_inference_yolov3_export-aot-inductor_float32_static_cpu_smoketest.csv (deflated 39%)
2025-08-14T21:41:13.5214176Z   adding: test/test-reports/inductor_inference_yolov3_export-aot-inductor_float32_static_cpu_smoketest_compilation_metrics.csv (deflated 43%)
2025-08-14T21:41:13.5215049Z   adding: test/test-reports/inductor_inference_mobilenet_v2_export-aot-inductor_float32_static_cpu_smoketest.csv (deflated 39%)
2025-08-14T21:41:13.5215638Z   adding: test/test-reports/inductor_inference_mobilenet_v2_export-aot-inductor_float32_static_cpu_smoketest_compilation_metrics.csv (deflated 44%)
2025-08-14T21:41:13.5216237Z   adding: test/test-reports/inductor_inference_resnext50_32x4d_export-aot-inductor_float32_dynamic_cpu_smoketest.csv (deflated 39%)
2025-08-14T21:41:13.5216852Z   adding: test/test-reports/inductor_inference_resnext50_32x4d_export-aot-inductor_float32_dynamic_cpu_smoketest_compilation_metrics.csv (deflated 43%)
2025-08-14T21:41:13.5217510Z   adding: test/test-reports/inductor_inference_hf_Albert_export-aot-inductor_float32_dynamic_cpu_smoketest.csv (deflated 39%)
2025-08-14T21:41:13.5218091Z   adding: test/test-reports/inductor_inference_hf_Albert_export-aot-inductor_float32_dynamic_cpu_smoketest_compilation_metrics.csv (deflated 44%)
2025-08-14T21:41:13.5218644Z   adding: test/test-reports/inductor_inference_resnext50_32x4d_inductor_amp_static_cpu_smoketest.csv (deflated 38%)
2025-08-14T21:41:13.5219295Z   adding: test/test-reports/inductor_inference_resnext50_32x4d_inductor_amp_static_cpu_smoketest_compilation_metrics.csv (deflated 44%)
2025-08-14T21:41:13.5219831Z   adding: test/test-reports/inductor_inference_vgg16_inductor_amp_static_cpu_smoketest.csv (deflated 38%)
2025-08-14T21:41:13.5220318Z   adding: test/test-reports/inductor_inference_vgg16_inductor_amp_static_cpu_smoketest_compilation_metrics.csv (deflated 45%)
2025-08-14T21:41:13.5220811Z   adding: test/test-reports/inductor_inference_hf_Longformer_inductor_amp_dynamic_cpu_smoketest.csv (deflated 36%)
2025-08-14T21:41:13.5221329Z   adding: test/test-reports/inductor_inference_hf_Longformer_inductor_amp_dynamic_cpu_smoketest_compilation_metrics.csv (deflated 45%)
2025-08-14T21:41:13.5221838Z   adding: test/test-reports/inductor_inference_hf_Bert_large_inductor_amp_dynamic_cpu_smoketest.csv (deflated 38%)
2025-08-14T21:41:13.5222344Z   adding: test/test-reports/inductor_inference_hf_Bert_large_inductor_amp_dynamic_cpu_smoketest_compilation_metrics.csv (deflated 44%)
2025-08-14T21:41:13.5222830Z   adding: test/test-reports/inductor_inference_llama_inductor_amp_static_cpu_smoketest.csv (deflated 38%)
2025-08-14T21:41:13.5223312Z   adding: test/test-reports/inductor_inference_llama_inductor_amp_static_cpu_smoketest_compilation_metrics.csv (deflated 45%)
2025-08-14T21:41:13.5223807Z   adding: test/test-reports/inductor_inference_timm_regnet_inductor_amp_static_cpu_smoketest.csv (deflated 38%)
2025-08-14T21:41:13.5224315Z   adding: test/test-reports/inductor_inference_timm_regnet_inductor_amp_static_cpu_smoketest_compilation_metrics.csv (deflated 45%)
2025-08-14T21:41:13.5224818Z   adding: test/test-reports/inductor_inference_mnasnet1_0_inductor_amp_static_cpu_smoketest.csv (deflated 39%)
2025-08-14T21:41:13.5225317Z   adding: test/test-reports/inductor_inference_mnasnet1_0_inductor_amp_static_cpu_smoketest_compilation_metrics.csv (deflated 46%)
2025-08-14T21:41:13.5225819Z   adding: test/test-reports/inductor_inference_timm_vovnet_inductor_amp_dynamic_cpu_smoketest.csv (deflated 38%)
2025-08-14T21:41:13.5226320Z   adding: test/test-reports/inductor_inference_timm_vovnet_inductor_amp_dynamic_cpu_smoketest_compilation_metrics.csv (deflated 45%)
2025-08-14T21:41:13.5226837Z   adding: test/test-reports/inductor_inference_hf_GPT2_export-aot-inductor_amp_static_cpu_smoketest.csv (deflated 37%)
2025-08-14T21:41:13.5227442Z   adding: test/test-reports/inductor_inference_hf_GPT2_export-aot-inductor_amp_static_cpu_smoketest_compilation_metrics.csv (deflated 44%)
2025-08-14T21:41:13.5228007Z   adding: test/test-reports/inductor_inference_densenet121_export-aot-inductor_amp_static_cpu_smoketest.csv (deflated 39%)
2025-08-14T21:41:13.5228574Z   adding: test/test-reports/inductor_inference_densenet121_export-aot-inductor_amp_static_cpu_smoketest_compilation_metrics.csv (deflated 43%)
2025-08-14T21:41:13.5229144Z   adding: test/test-reports/inductor_inference_hf_DistilBert_export-aot-inductor_amp_dynamic_cpu_smoketest.csv (deflated 38%)
2025-08-14T21:41:13.5229724Z   adding: test/test-reports/inductor_inference_hf_DistilBert_export-aot-inductor_amp_dynamic_cpu_smoketest_compilation_metrics.csv (deflated 44%)
2025-08-14T21:41:13.5230297Z   adding: test/test-reports/inductor_inference_hf_Bart_export-aot-inductor_amp_dynamic_cpu_smoketest.csv (deflated 38%)
2025-08-14T21:41:13.5230849Z   adding: test/test-reports/inductor_inference_hf_Bart_export-aot-inductor_amp_dynamic_cpu_smoketest_compilation_metrics.csv (deflated 43%)
2025-08-14T21:41:13.5247379Z ##[group]Run # Remove any previous usage logs if they exist
2025-08-14T21:41:13.5247658Z # Remove any previous usage logs if they exist
2025-08-14T21:41:13.5247886Z rm -f logs-*.zip
2025-08-14T21:41:13.5248100Z zip "logs-${FILE_SUFFIX}.zip" 'usage_log.txt' || true
2025-08-14T21:41:13.5248407Z zip -r "logs-${FILE_SUFFIX}.zip" test/test-reports -i '*.log' || true
2025-08-14T21:41:13.5251848Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T21:41:13.5252078Z env:
2025-08-14T21:41:13.5252224Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:41:13.5252511Z   DOCKER_CONTAINER_ID: 3d5faa61ab790c4694fb04ea0659153d28b67bfb3a176de3f84bfb4b1f113c93
2025-08-14T21:41:13.5252851Z   DEVICE_NAME: 
2025-08-14T21:41:13.5252998Z   DEVICE_TYPE: 
2025-08-14T21:41:13.5253277Z   FILE_SUFFIX: test-inductor_torchbench_cpu_smoketest_perf-1-1-linux.24xl.spr-metal_48128039130
2025-08-14T21:41:13.5253582Z ##[endgroup]
2025-08-14T21:41:13.5297964Z   adding: usage_log.txt (deflated 94%)
2025-08-14T21:41:13.5307822Z 
2025-08-14T21:41:13.5308073Z zip error: Nothing to do! (logs-test-inductor_torchbench_cpu_smoketest_perf-1-1-linux.24xl.spr-metal_48128039130.zip)
2025-08-14T21:41:13.5326747Z ##[group]Run # Remove any previous debugging artifacts if they exist
2025-08-14T21:41:13.5327065Z # Remove any previous debugging artifacts if they exist
2025-08-14T21:41:13.5327311Z rm -f debug-*.zip
2025-08-14T21:41:13.5327487Z if [ -d 'test/debug' ]; then
2025-08-14T21:41:13.5327708Z   zip -r "debug-${FILE_SUFFIX}.zip" test/debug
2025-08-14T21:41:13.5327917Z fi
2025-08-14T21:41:13.5331441Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T21:41:13.5331678Z env:
2025-08-14T21:41:13.5331831Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:41:13.5332113Z   DOCKER_CONTAINER_ID: 3d5faa61ab790c4694fb04ea0659153d28b67bfb3a176de3f84bfb4b1f113c93
2025-08-14T21:41:13.5332405Z   DEVICE_NAME: 
2025-08-14T21:41:13.5332586Z   DEVICE_TYPE: 
2025-08-14T21:41:13.5332877Z   FILE_SUFFIX: test-inductor_torchbench_cpu_smoketest_perf-1-1-linux.24xl.spr-metal_48128039130
2025-08-14T21:41:13.5333178Z ##[endgroup]
2025-08-14T21:41:13.5416517Z ##[group]Run seemethere/upload-artifact-s3@v5
2025-08-14T21:41:13.5416727Z with:
2025-08-14T21:41:13.5416881Z   s3-bucket: gha-artifacts
2025-08-14T21:41:13.5417082Z   s3-prefix: pytorch/pytorch/16976255153/1/artifact

2025-08-14T21:41:13.5417297Z   retention-days: 14
2025-08-14T21:41:13.5417463Z   if-no-files-found: warn
2025-08-14T21:41:13.5417633Z   path: test-jsons-*.zip
2025-08-14T21:41:13.5417795Z   name: artifact
2025-08-14T21:41:13.5417949Z   region: us-east-1
2025-08-14T21:41:13.5418099Z env:
2025-08-14T21:41:13.5418242Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:41:13.5418520Z   DOCKER_CONTAINER_ID: 3d5faa61ab790c4694fb04ea0659153d28b67bfb3a176de3f84bfb4b1f113c93
2025-08-14T21:41:13.5418806Z   DEVICE_NAME: 
2025-08-14T21:41:13.5418953Z   DEVICE_TYPE: 
2025-08-14T21:41:13.5419198Z ##[endgroup]
2025-08-14T21:41:13.8396587Z NOTE: s3-prefix specified, ignoring name parameter
2025-08-14T21:41:13.8396912Z With the provided path, there will be 1 file uploaded
2025-08-14T21:41:13.8397226Z Uploading to s3 prefix: pytorch/pytorch/16976255153/1/artifact
2025-08-14T21:41:13.8426998Z Starting upload of test-jsons-test-inductor_torchbench_cpu_smoketest_perf-1-1-linux.24xl.spr-metal_48128039130.zip
2025-08-14T21:41:13.9538821Z Finished upload of test-jsons-test-inductor_torchbench_cpu_smoketest_perf-1-1-linux.24xl.spr-metal_48128039130.zip
2025-08-14T21:41:13.9667168Z ##[group]Run seemethere/upload-artifact-s3@v5
2025-08-14T21:41:13.9667380Z with:
2025-08-14T21:41:13.9667541Z   s3-bucket: gha-artifacts
2025-08-14T21:41:13.9667761Z   s3-prefix: pytorch/pytorch/16976255153/1/artifact

2025-08-14T21:41:13.9667973Z   retention-days: 14
2025-08-14T21:41:13.9668145Z   if-no-files-found: error
2025-08-14T21:41:13.9668333Z   path: test-reports-*.zip
2025-08-14T21:41:13.9668509Z   name: artifact
2025-08-14T21:41:13.9668666Z   region: us-east-1
2025-08-14T21:41:13.9668888Z env:
2025-08-14T21:41:13.9669023Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:41:13.9669309Z   DOCKER_CONTAINER_ID: 3d5faa61ab790c4694fb04ea0659153d28b67bfb3a176de3f84bfb4b1f113c93
2025-08-14T21:41:13.9669680Z   DEVICE_NAME: 
2025-08-14T21:41:13.9669835Z   DEVICE_TYPE: 
2025-08-14T21:41:13.9669976Z ##[endgroup]
2025-08-14T21:41:14.1940652Z NOTE: s3-prefix specified, ignoring name parameter
2025-08-14T21:41:14.1940956Z With the provided path, there will be 1 file uploaded
2025-08-14T21:41:14.1941240Z Uploading to s3 prefix: pytorch/pytorch/16976255153/1/artifact
2025-08-14T21:41:14.1970063Z Starting upload of test-reports-test-inductor_torchbench_cpu_smoketest_perf-1-1-linux.24xl.spr-metal_48128039130.zip
2025-08-14T21:41:14.3074295Z Finished upload of test-reports-test-inductor_torchbench_cpu_smoketest_perf-1-1-linux.24xl.spr-metal_48128039130.zip
2025-08-14T21:41:14.3208304Z ##[group]Run seemethere/upload-artifact-s3@v5
2025-08-14T21:41:14.3208524Z with:
2025-08-14T21:41:14.3208693Z   s3-bucket: gha-artifacts
2025-08-14T21:41:14.3208906Z   s3-prefix: pytorch/pytorch/16976255153/1/artifact

2025-08-14T21:41:14.3209113Z   retention-days: 14
2025-08-14T21:41:14.3209277Z   if-no-files-found: ignore
2025-08-14T21:41:14.3209448Z   path: logs-*.zip
2025-08-14T21:41:14.3209591Z   name: artifact
2025-08-14T21:41:14.3209738Z   region: us-east-1
2025-08-14T21:41:14.3209884Z env:
2025-08-14T21:41:14.3210015Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:41:14.3210293Z   DOCKER_CONTAINER_ID: 3d5faa61ab790c4694fb04ea0659153d28b67bfb3a176de3f84bfb4b1f113c93
2025-08-14T21:41:14.3210578Z   DEVICE_NAME: 
2025-08-14T21:41:14.3210722Z   DEVICE_TYPE: 
2025-08-14T21:41:14.3210861Z ##[endgroup]
2025-08-14T21:41:14.5528081Z NOTE: s3-prefix specified, ignoring name parameter
2025-08-14T21:41:14.5528392Z With the provided path, there will be 1 file uploaded
2025-08-14T21:41:14.5528675Z Uploading to s3 prefix: pytorch/pytorch/16976255153/1/artifact
2025-08-14T21:41:14.5557928Z Starting upload of logs-test-inductor_torchbench_cpu_smoketest_perf-1-1-linux.24xl.spr-metal_48128039130.zip
2025-08-14T21:41:14.6583380Z Finished upload of logs-test-inductor_torchbench_cpu_smoketest_perf-1-1-linux.24xl.spr-metal_48128039130.zip
2025-08-14T21:41:14.6724560Z ##[group]Run seemethere/upload-artifact-s3@v5
2025-08-14T21:41:14.6724782Z with:
2025-08-14T21:41:14.6724949Z   s3-bucket: gha-artifacts
2025-08-14T21:41:14.6725164Z   s3-prefix: pytorch/pytorch/16976255153/1/artifact

2025-08-14T21:41:14.6725377Z   retention-days: 14
2025-08-14T21:41:14.6725547Z   if-no-files-found: ignore
2025-08-14T21:41:14.6725727Z   path: debug-*.zip
2025-08-14T21:41:14.6725879Z   name: artifact
2025-08-14T21:41:14.6726043Z   region: us-east-1
2025-08-14T21:41:14.6726213Z env:
2025-08-14T21:41:14.6726348Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:41:14.6726628Z   DOCKER_CONTAINER_ID: 3d5faa61ab790c4694fb04ea0659153d28b67bfb3a176de3f84bfb4b1f113c93
2025-08-14T21:41:14.6726919Z   DEVICE_NAME: 
2025-08-14T21:41:14.6727181Z   DEVICE_TYPE: 
2025-08-14T21:41:14.6727328Z ##[endgroup]
2025-08-14T21:41:14.8882286Z No files were found with the provided path: debug-*.zip. No artifacts will be uploaded.
2025-08-14T21:41:14.9022582Z ##[group]Run # shellcheck disable=SC2156
2025-08-14T21:41:14.9022826Z # shellcheck disable=SC2156
2025-08-14T21:41:14.9023167Z find . -iname "core.[1-9]*" -exec docker exec "${DOCKER_CONTAINER_ID}" sh -c "gdb python {} -ex 'bt' -ex 'q'" \;
2025-08-14T21:41:14.9028734Z shell: /usr/bin/bash -e {0}
2025-08-14T21:41:14.9028908Z env:
2025-08-14T21:41:14.9029060Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:41:14.9029333Z   DOCKER_CONTAINER_ID: 3d5faa61ab790c4694fb04ea0659153d28b67bfb3a176de3f84bfb4b1f113c93
2025-08-14T21:41:14.9029635Z   DEVICE_NAME: 
2025-08-14T21:41:14.9029782Z   DEVICE_TYPE: 
2025-08-14T21:41:14.9029920Z ##[endgroup]
2025-08-14T21:41:15.0632256Z Prepare all required actions
2025-08-14T21:41:15.0632521Z Getting action download info
2025-08-14T21:41:15.2518795Z ##[group]Run ./.github/actions/upload-utilization-stats
2025-08-14T21:41:15.2519081Z with:
2025-08-14T21:41:15.2519232Z   job_id: 48128039130
2025-08-14T21:41:15.2519578Z   job_name: linux-jammy-cpu-py3.9-gcc11-inductor / test (inductor_torchbench_cpu_smoketest_perf, 1, 1, linux.24xl.spr-metal)
2025-08-14T21:41:15.2519943Z   workflow_name: inductor
2025-08-14T21:41:15.2520120Z   workflow_run_id: 16976255153
2025-08-14T21:41:15.2520294Z   workflow_attempt: 1
2025-08-14T21:41:15.2520441Z env:
2025-08-14T21:41:15.2520580Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:41:15.2520858Z   DOCKER_CONTAINER_ID: 3d5faa61ab790c4694fb04ea0659153d28b67bfb3a176de3f84bfb4b1f113c93
2025-08-14T21:41:15.2521145Z   DEVICE_NAME: 
2025-08-14T21:41:15.2521329Z   DEVICE_TYPE: 
2025-08-14T21:41:15.2521468Z ##[endgroup]
2025-08-14T21:41:15.2535913Z ##[group]Run echo "workflow_id: 16976255153"
2025-08-14T21:41:15.2536167Z echo "workflow_id: 16976255153"
2025-08-14T21:41:15.2536373Z echo "workflow_attempt: 1"
2025-08-14T21:41:15.2536567Z echo "workflow_Name: inductor"
2025-08-14T21:41:15.2536768Z echo "job_id: 48128039130"
2025-08-14T21:41:15.2537152Z echo "job_name:  linux-jammy-cpu-py3.9-gcc11-inductor / test (inductor_torchbench_cpu_smoketest_perf, 1, 1, linux.24xl.spr-metal)"
2025-08-14T21:41:15.2537530Z echo "artifact_prefix: "
2025-08-14T21:41:15.2537720Z python3 --version
2025-08-14T21:41:15.2541578Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T21:41:15.2541806Z env:
2025-08-14T21:41:15.2541948Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:41:15.2542226Z   DOCKER_CONTAINER_ID: 3d5faa61ab790c4694fb04ea0659153d28b67bfb3a176de3f84bfb4b1f113c93
2025-08-14T21:41:15.2542521Z   DEVICE_NAME: 
2025-08-14T21:41:15.2542663Z   DEVICE_TYPE: 
2025-08-14T21:41:15.2542809Z ##[endgroup]
2025-08-14T21:41:15.2560524Z workflow_id: 16976255153
2025-08-14T21:41:15.2560701Z workflow_attempt: 1
2025-08-14T21:41:15.2560863Z workflow_Name: inductor
2025-08-14T21:41:15.2561018Z job_id: 48128039130
2025-08-14T21:41:15.2561369Z job_name:  linux-jammy-cpu-py3.9-gcc11-inductor / test (inductor_torchbench_cpu_smoketest_perf, 1, 1, linux.24xl.spr-metal)
2025-08-14T21:41:15.2561731Z artifact_prefix: 
2025-08-14T21:41:15.2570919Z Python 3.9.23
2025-08-14T21:41:15.2599474Z ##[group]Run nick-fields/retry@v3.0.0
2025-08-14T21:41:15.2599679Z with:
2025-08-14T21:41:15.2599823Z   shell: bash
2025-08-14T21:41:15.2599977Z   timeout_minutes: 5
2025-08-14T21:41:15.2600128Z   max_attempts: 5
2025-08-14T21:41:15.2600290Z   retry_wait_seconds: 30
2025-08-14T21:41:15.2600617Z   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

2025-08-14T21:41:15.2600964Z   polling_interval_seconds: 1
2025-08-14T21:41:15.2601134Z   warning_on_retry: true
2025-08-14T21:41:15.2601318Z   continue_on_error: false
2025-08-14T21:41:15.2601482Z env:
2025-08-14T21:41:15.2601609Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:41:15.2601887Z   DOCKER_CONTAINER_ID: 3d5faa61ab790c4694fb04ea0659153d28b67bfb3a176de3f84bfb4b1f113c93
2025-08-14T21:41:15.2602188Z   DEVICE_NAME: 
2025-08-14T21:41:15.2602327Z   DEVICE_TYPE: 
2025-08-14T21:41:15.2602474Z ##[endgroup]
2025-08-14T21:41:15.4898839Z Defaulting to user installation because normal site-packages is not writeable
2025-08-14T21:41:15.5400208Z Collecting python-dateutil==2.8.2
2025-08-14T21:41:15.5518075Z   Downloading python_dateutil-2.8.2-py2.py3-none-any.whl (247 kB)
2025-08-14T21:41:16.1708551Z Collecting boto3==1.35.42
2025-08-14T21:41:16.1734603Z   Downloading boto3-1.35.42-py3-none-any.whl (139 kB)
2025-08-14T21:41:16.4989293Z Collecting pandas==2.1.3
2025-08-14T21:41:16.5017557Z   Downloading pandas-2.1.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (12.3 MB)
2025-08-14T21:41:16.5780778Z Requirement already satisfied: dataclasses_json==0.6.7 in /home/ec2-user/.local/lib/python3.9/site-packages (0.6.7)
2025-08-14T21:41:16.5789069Z Requirement already satisfied: six>=1.5 in /usr/lib/python3.9/site-packages (from python-dateutil==2.8.2) (1.15.0)
2025-08-14T21:41:16.5819041Z 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)
2025-08-14T21:41:16.5822625Z 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)
2025-08-14T21:41:16.5825027Z 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)
2025-08-14T21:41:16.6428432Z Collecting tzdata>=2022.1
2025-08-14T21:41:16.6453821Z   Downloading tzdata-2025.2-py2.py3-none-any.whl (347 kB)
2025-08-14T21:41:17.1782837Z Collecting numpy<2,>=1.22.4
2025-08-14T21:41:17.1810038Z   Downloading numpy-1.26.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (18.2 MB)
2025-08-14T21:41:17.2987884Z Requirement already satisfied: pytz>=2020.1 in /usr/lib/python3.9/site-packages (from pandas==2.1.3) (2022.7.1)
2025-08-14T21:41:17.3018403Z 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)
2025-08-14T21:41:17.3021024Z 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)
2025-08-14T21:41:17.3071418Z 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)
2025-08-14T21:41:17.3133281Z 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)
2025-08-14T21:41:17.3202555Z 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) (4.14.1)
2025-08-14T21:41:17.3205152Z 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)
2025-08-14T21:41:17.4269453Z Installing collected packages: python-dateutil, tzdata, numpy, pandas, boto3
2025-08-14T21:41:20.9668977Z   Attempting uninstall: boto3
2025-08-14T21:41:20.9669313Z     Found existing installation: boto3 1.35.33
2025-08-14T21:41:20.9727436Z     Uninstalling boto3-1.35.33:
2025-08-14T21:41:20.9735204Z       Successfully uninstalled boto3-1.35.33
2025-08-14T21:41:21.0107935Z Successfully installed boto3-1.35.42 numpy-1.26.4 pandas-2.1.3 python-dateutil-2.8.2 tzdata-2025.2
2025-08-14T21:41:21.3185634Z Command completed after 1 attempt(s).
2025-08-14T21:41:21.3235473Z ##[group]Run python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \
2025-08-14T21:41:21.3235902Z python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \
2025-08-14T21:41:21.3236193Z   --workflow-run-id "16976255153" \
2025-08-14T21:41:21.3236411Z   --workflow-name "inductor" \
2025-08-14T21:41:21.3236618Z   --workflow-run-attempt "1" \
2025-08-14T21:41:21.3236818Z   --job-id "48128039130" \
2025-08-14T21:41:21.3237207Z   --job-name "linux-jammy-cpu-py3.9-gcc11-inductor / test (inductor_torchbench_cpu_smoketest_perf, 1, 1, linux.24xl.spr-metal)" \
2025-08-14T21:41:21.3237595Z   --local-path "" \
2025-08-14T21:41:21.3237783Z   --artifact-prefix ""
2025-08-14T21:41:21.3242293Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T21:41:21.3242522Z env:
2025-08-14T21:41:21.3242673Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:41:21.3242952Z   DOCKER_CONTAINER_ID: 3d5faa61ab790c4694fb04ea0659153d28b67bfb3a176de3f84bfb4b1f113c93
2025-08-14T21:41:21.3243245Z   DEVICE_NAME: 
2025-08-14T21:41:21.3243395Z   DEVICE_TYPE: 
2025-08-14T21:41:21.3243544Z ##[endgroup]
2025-08-14T21:41:22.1152041Z repo: pytorch/pytorch
2025-08-14T21:41:22.1152334Z Search for test log in s3 bucket: ossci-utilization
2025-08-14T21:41:22.1152719Z Downloading logs-test-inductor_torchbench_cpu_smoketest_perf-1-1-linux.24xl.spr-metal_48128039130.zip
2025-08-14T21:41:22.1153289Z extracting usage_log.txt from zip file logs-test-inductor_torchbench_cpu_smoketest_perf-1-1-linux.24xl.spr-metal_48128039130.zip
2025-08-14T21:41:22.1153697Z Converted Log Model: UtilizationMetadata:
2025-08-14T21:41:22.1154534Z  UtilizationMetadata(level='metadata', workflow_id='16976255153', job_id='48128039130', workflow_name='inductor', job_name='linux-jammy-cpu-py3.9-gcc11-inductor / test (inductor_torchbench_cpu_smoketest_perf, 1, 1, linux.24xl.spr-metal)', usage_collect_interval=1.0, data_model_version=1.5, start_at=1755206732, gpu_count=0, cpu_count=96, gpu_type=None, error=None)
2025-08-14T21:41:22.1155445Z [Db Segments] detected pytest cmd: 38, generated segments: 38
2025-08-14T21:41:22.1155698Z [db model] Peek db timeseries 
2025-08-14T21:41:22.1155863Z :{
2025-08-14T21:41:22.1156007Z     "created_at": 1755207681,
2025-08-14T21:41:22.1156183Z     "type": "utilization",
2025-08-14T21:41:22.1156339Z     "tags": [
2025-08-14T21:41:22.1156486Z         "record"
2025-08-14T21:41:22.1156633Z     ],
2025-08-14T21:41:22.1156777Z     "time_stamp": 1755206732,
2025-08-14T21:41:22.1156946Z     "repo": "pytorch/pytorch",
2025-08-14T21:41:22.1157127Z     "workflow_id": 16976255153,
2025-08-14T21:41:22.1157301Z     "run_attempt": 1,
2025-08-14T21:41:22.1157452Z     "job_id": 48128039130,
2025-08-14T21:41:22.1157621Z     "workflow_name": "inductor",
2025-08-14T21:41:22.1157984Z     "job_name": "linux-jammy-cpu-py3.9-gcc11-inductor / test (inductor_torchbench_cpu_smoketest_perf, 1, 1, linux.24xl.spr-metal)",
2025-08-14T21:41:22.1158334Z     "json_data": "{}"
2025-08-14T21:41:22.1158484Z }
2025-08-14T21:41:22.1158779Z Writing 1 documents to S3 ossci-utilization/util_metadata/v_1.5/pytorch/pytorch/16976255153/1/48128039130/metadata
2025-08-14T21:41:22.1159272Z Done! Finish writing document to S3 ossci-utilization/util_metadata/v_1.5/pytorch/pytorch/16976255153/1/48128039130/metadata 
2025-08-14T21:41:22.1159784Z Writing 188 documents to S3 ossci-utilization/util_timeseries/v_1.5/pytorch/pytorch/16976255153/1/48128039130/time_series
2025-08-14T21:41:22.1160301Z Done! Finish writing document to S3 ossci-utilization/util_timeseries/v_1.5/pytorch/pytorch/16976255153/1/48128039130/time_series 
2025-08-14T21:41:22.1951711Z ##[group]Run pytorch/test-infra/.github/actions/teardown-linux@main
2025-08-14T21:41:22.1952057Z with:
2025-08-14T21:41:22.1952249Z env:
2025-08-14T21:41:22.1952444Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:41:22.1952834Z   DOCKER_CONTAINER_ID: 3d5faa61ab790c4694fb04ea0659153d28b67bfb3a176de3f84bfb4b1f113c93
2025-08-14T21:41:22.1953233Z   DEVICE_NAME: 
2025-08-14T21:41:22.1953437Z   DEVICE_TYPE: 
2025-08-14T21:41:22.1953634Z ##[endgroup]
2025-08-14T21:41:22.1972615Z ##[group]Run set -eou pipefail
2025-08-14T21:41:22.1972887Z set -eou pipefail
2025-08-14T21:41:22.1973107Z 
2025-08-14T21:41:22.1973400Z echo "Holding runner for 2 hours until all ssh sessions have logged out"
2025-08-14T21:41:22.1973678Z for _ in $(seq 1440); do
2025-08-14T21:41:22.1973882Z     # Break if no ssh session exists anymore
2025-08-14T21:41:22.1974088Z     if [ "$(who)" = "" ]; then
2025-08-14T21:41:22.1974264Z       break
2025-08-14T21:41:22.1974450Z     fi
2025-08-14T21:41:22.1974590Z     echo "."
2025-08-14T21:41:22.1974745Z     sleep 5
2025-08-14T21:41:22.1974895Z done
2025-08-14T21:41:22.1978920Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T21:41:22.1979146Z env:
2025-08-14T21:41:22.1979291Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:41:22.1979568Z   DOCKER_CONTAINER_ID: 3d5faa61ab790c4694fb04ea0659153d28b67bfb3a176de3f84bfb4b1f113c93
2025-08-14T21:41:22.1979851Z   DEVICE_NAME: 
2025-08-14T21:41:22.1980002Z   DEVICE_TYPE: 
2025-08-14T21:41:22.1980150Z ##[endgroup]
2025-08-14T21:41:22.1997926Z Holding runner for 2 hours until all ssh sessions have logged out
2025-08-14T21:41:22.2061995Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty
2025-08-14T21:41:22.2062447Z # ignore expansion of "docker ps -q" since it could be empty
2025-08-14T21:41:22.2062700Z # shellcheck disable=SC2046
2025-08-14T21:41:22.2062927Z docker stop $(docker ps -q) || true
2025-08-14T21:41:22.2063129Z # Prune all of the docker images
2025-08-14T21:41:22.2063331Z docker system prune -af
2025-08-14T21:41:22.2067391Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T21:41:22.2067609Z env:
2025-08-14T21:41:22.2067759Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:41:22.2068036Z   DOCKER_CONTAINER_ID: 3d5faa61ab790c4694fb04ea0659153d28b67bfb3a176de3f84bfb4b1f113c93
2025-08-14T21:41:22.2068354Z   DEVICE_NAME: 
2025-08-14T21:41:22.2068504Z   DEVICE_TYPE: 
2025-08-14T21:41:22.2068655Z ##[endgroup]
2025-08-14T21:41:35.2121722Z 3d5faa61ab79
2025-08-14T21:41:35.6642047Z Deleted Containers:
2025-08-14T21:41:35.6642343Z 3d5faa61ab790c4694fb04ea0659153d28b67bfb3a176de3f84bfb4b1f113c93
2025-08-14T21:41:35.6642583Z 
2025-08-14T21:41:41.8403977Z Deleted Images:
2025-08-14T21:41:41.8404632Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T21:41:41.8405420Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image@sha256:4236794baba289041d240d08fd393bbd57497c3012e5e0ccd9fd98f61ebf35c6
2025-08-14T21:41:41.8405919Z deleted: sha256:0899ae453036ee7a91795ea95b1db61000579eeb74b140edab5976919ee64bbe
2025-08-14T21:41:41.8406286Z deleted: sha256:aa7b544271e9ba3105dabd1afb12e315887018f3471e03135c1d50e64cc550c4
2025-08-14T21:41:41.8406660Z deleted: sha256:4c685831817cc2fc6dfdfda1726df1f402222d8cdccc40daad3198cf8b17e3f4
2025-08-14T21:41:41.8407061Z deleted: sha256:cedf3fb09a62e68c6d7e22cedbce12e77166a50649d0269200ee0efce8a57b88
2025-08-14T21:41:41.8407433Z deleted: sha256:1b3a9a237b4153f8f523a85cead9d36e29717eb57182e2f75069788681627d95
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2025-08-14T21:41:41.8433665Z Total reclaimed space: 57.11GB
2025-08-14T21:41:41.8500101Z Post job cleanup.
2025-08-14T21:41:41.8538166Z Post job cleanup.
2025-08-14T21:41:41.9251476Z [command]/usr/bin/git version
2025-08-14T21:41:41.9281558Z git version 2.47.1
2025-08-14T21:41:41.9305593Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/cf9865fd-4fcc-41b3-9f6b-276d064b530b/.gitconfig'
2025-08-14T21:41:41.9311619Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/cf9865fd-4fcc-41b3-9f6b-276d064b530b' before making global git config changes
2025-08-14T21:41:41.9312218Z Adding repository directory to the temporary git global config as a safe directory
2025-08-14T21:41:41.9315251Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-08-14T21:41:41.9349002Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
2025-08-14T21:41:41.9378461Z [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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2025-08-14T21:41:42.2176476Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-08-14T21:41:42.2214677Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-08-14T21:41:42.2256930Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-08-14T21:41:42.2298301Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-08-14T21:41:42.2345657Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
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2025-08-14T21:41:42.2452470Z Entering 'third_party/pocketfft'
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2025-08-14T21:41:42.3128581Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
2025-08-14T21:41:42.3144523Z http.https://github.com/.extraheader
2025-08-14T21:41:42.3151548Z [command]/usr/bin/git config --local --unset-all http.https://github.com/.extraheader
2025-08-14T21:41:42.3174521Z [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' || :"
2025-08-14T21:41:42.3421552Z Entering 'android/libs/fbjni'
2025-08-14T21:41:42.3451128Z http.https://github.com/.extraheader
2025-08-14T21:41:42.3478952Z Entering 'third_party/FP16'
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2025-08-14T21:41:42.7913179Z http.https://github.com/.extraheader
2025-08-14T21:41:42.8012392Z A job completed hook has been configured by the self-hosted runner administrator
2025-08-14T21:41:42.8036063Z ##[group]Run '/home/ec2-user/runner-scripts/after_job.sh'
2025-08-14T21:41:42.8039419Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T21:41:42.8039679Z ##[endgroup]
2025-08-14T21:41:42.8109541Z [!ALERT!] Swap in detected! [!ALERT!]
2025-08-14T21:41:50.1157305Z [!ALERT!] Swap out detected [!ALERT!]
2025-08-14T21:42:02.5677240Z Cleaning up orphan processes