2025-08-26T20:03:38.8018437Z Current runner version: '2.328.0'
2025-08-26T20:03:38.8024820Z Runner name: 'i-0e7f9fe0f083b3903'
2025-08-26T20:03:38.8025731Z Runner group name: 'default'
2025-08-26T20:03:38.8026750Z Machine name: 'ip-10-0-49-28'
2025-08-26T20:03:38.8029720Z ##[group]GITHUB_TOKEN Permissions
2025-08-26T20:03:38.8032195Z Contents: read
2025-08-26T20:03:38.8032763Z Metadata: read
2025-08-26T20:03:38.8033310Z ##[endgroup]
2025-08-26T20:03:38.8035525Z Secret source: Actions
2025-08-26T20:03:38.8036345Z Prepare workflow directory
2025-08-26T20:03:38.8561181Z Prepare all required actions
2025-08-26T20:03:38.8602449Z Getting action download info
2025-08-26T20:03:39.1723440Z Download action repository 'pytorch/test-infra@main' (SHA:0192d56cb596bb73b125bd368553908cc5c513f0)
2025-08-26T20:03:41.0981192Z Download action repository 'pytorch/pytorch@main' (SHA:caf98fde0d5c47452af45dc77099449edd521579)
2025-08-26T20:03:54.6589640Z Download action repository 'actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065' (SHA:a26af69be951a213d495a4c3e4e4022e16d87065)
2025-08-26T20:03:55.0254624Z Download action repository 'aws-actions/configure-aws-credentials@ececac1a45f3b08a01d2dd070d28d111c5fe6722' (SHA:ececac1a45f3b08a01d2dd070d28d111c5fe6722)
2025-08-26T20:03:55.2649794Z Download action repository 'aws-actions/amazon-ecr-login@062b18b96a7aff071d4dc91bc00c4c1a7945b076' (SHA:062b18b96a7aff071d4dc91bc00c4c1a7945b076)
2025-08-26T20:03:55.4485499Z Download action repository 'seemethere/upload-artifact-s3@baba72d0712b404f646cebe0730933554ebce96a' (SHA:baba72d0712b404f646cebe0730933554ebce96a)
2025-08-26T20:03:55.7613034Z Getting action download info
2025-08-26T20:03:55.8735465Z Download action repository 'actions/checkout@v4' (SHA:08eba0b27e820071cde6df949e0beb9ba4906955)
2025-08-26T20:03:56.1764280Z Getting action download info
2025-08-26T20:03:56.3605140Z Download action repository 'nick-fields/retry@v3.0.0' (SHA:7152eba30c6575329ac0576536151aca5a72780e)
2025-08-26T20:03:56.6103537Z Getting action download info
2025-08-26T20:03:56.7345700Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482)
2025-08-26T20:03:56.9303035Z Getting action download info
2025-08-26T20:03:57.0828559Z Uses: pytorch/pytorch/.github/workflows/_linux-test.yml@refs/heads/main (262640fd220236042fbf4443cc163c8838c84c3d)
2025-08-26T20:03:57.0832597Z ##[group] Inputs
2025-08-26T20:03:57.0832984Z   build-environment: linux-jammy-py3.9-gcc11
2025-08-26T20:03:57.0833605Z   test-matrix: {"include": [{"config": "verify_cachebench", "shard": 1, "num_shards": 1, "runner": "linux.2xlarge"}]}
2025-08-26T20:03:57.0834791Z   docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6
2025-08-26T20:03:57.0835748Z   sync-tag: 
2025-08-26T20:03:57.0836530Z   timeout-minutes: 240
2025-08-26T20:03:57.0836803Z   use-gha: 
2025-08-26T20:03:57.0837041Z   dashboard-tag: 
2025-08-26T20:03:57.0837317Z   s3-bucket: gha-artifacts
2025-08-26T20:03:57.0837597Z   aws-role-to-assume: 
2025-08-26T20:03:57.0838169Z   disable-monitor: false
2025-08-26T20:03:57.0838491Z   monitor-log-interval: 5
2025-08-26T20:03:57.0838808Z   monitor-data-collect-interval: 1
2025-08-26T20:03:57.0839126Z ##[endgroup]
2025-08-26T20:03:57.0839602Z Complete job name: verify-cachebench-cpu-test / test (verify_cachebench, 1, 1, linux.2xlarge)
2025-08-26T20:03:57.1323776Z A job started hook has been configured by the self-hosted runner administrator
2025-08-26T20:03:57.1426579Z ##[group]Run '/home/ec2-user/runner-scripts/before_job.sh'
2025-08-26T20:03:57.1435670Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:03:57.1436335Z ##[endgroup]
2025-08-26T20:03:58.4014587Z Runner Type: linux.2xlarge
2025-08-26T20:03:58.4015109Z Instance Type: c5.2xlarge
2025-08-26T20:03:58.4015393Z AMI Name: unknown
2025-08-26T20:03:58.4040696Z AMI ID: ami-05ffe3c48a9991133
2025-08-26T20:04:03.9043373Z ##[group]Run pytorch/test-infra/.github/actions/setup-ssh@main
2025-08-26T20:04:03.9044118Z with:
2025-08-26T20:04:03.9044722Z   github-secret: ***
2025-08-26T20:04:03.9045477Z   instructions: All testing is done inside the container, to start an interactive session run:
  docker exec -it $(docker container ps --format '{{.ID}}') bash

2025-08-26T20:04:03.9046557Z   activate-with-label: false
2025-08-26T20:04:03.9046839Z   label: with-ssh
2025-08-26T20:04:03.9047098Z   remove-existing-keys: true
2025-08-26T20:04:03.9047391Z   fail-silently: true
2025-08-26T20:04:03.9047641Z env:
2025-08-26T20:04:03.9047847Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:04:03.9048264Z ##[endgroup]
2025-08-26T20:04:04.0600083Z Please see https://github.com/pytorch/pytorch/wiki/Debugging-using-with-ssh-for-Github-Actions for more info.
2025-08-26T20:04:04.0601663Z Not on pull request and ciflow reference could not be extracted, skipping adding ssh keys
2025-08-26T20:04:04.0936813Z ##[group]Run pytorch/pytorch/.github/actions/checkout-pytorch@main
2025-08-26T20:04:04.0937641Z with:
2025-08-26T20:04:04.0938043Z   no-sudo: true
2025-08-26T20:04:04.0938489Z   submodules: recursive
2025-08-26T20:04:04.0938957Z   fetch-depth: 0
2025-08-26T20:04:04.0939370Z env:
2025-08-26T20:04:04.0939762Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:04:04.0940447Z ##[endgroup]
2025-08-26T20:04:04.1041436Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-08-26T20:04:04.1042463Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-08-26T20:04:04.1053324Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:04:04.1053737Z env:
2025-08-26T20:04:04.1053987Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:04:04.1054294Z ##[endgroup]
2025-08-26T20:04:04.1141514Z ##[group]Run # Use all available CPUs for fetching
2025-08-26T20:04:04.1141993Z # Use all available CPUs for fetching
2025-08-26T20:04:04.1142378Z cd "${GITHUB_WORKSPACE}"
2025-08-26T20:04:04.1142724Z git config --global fetch.parallel 0
2025-08-26T20:04:04.1143138Z git config --global submodule.fetchJobs 0
2025-08-26T20:04:04.1143498Z 
2025-08-26T20:04:04.1143881Z # Clean workspace. The default checkout action should also do this, but
2025-08-26T20:04:04.1144367Z # do it here as well just in case
2025-08-26T20:04:04.1144705Z if [[ -d .git ]]; then
2025-08-26T20:04:04.1145022Z   if [ -z "${NO_SUDO}" ]; then
2025-08-26T20:04:04.1145434Z     sudo git clean -ffdx
2025-08-26T20:04:04.1145715Z   else
2025-08-26T20:04:04.1145963Z     git clean -ffdx
2025-08-26T20:04:04.1146247Z   fi
2025-08-26T20:04:04.1146470Z fi
2025-08-26T20:04:04.1152043Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:04:04.1152467Z env:
2025-08-26T20:04:04.1152771Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:04:04.1153080Z   NO_SUDO: true
2025-08-26T20:04:04.1153319Z ##[endgroup]
2025-08-26T20:04:04.1297281Z ##[group]Run actions/checkout@v4
2025-08-26T20:04:04.1297608Z with:
2025-08-26T20:04:04.1297861Z   ref: 262640fd220236042fbf4443cc163c8838c84c3d
2025-08-26T20:04:04.1298207Z   fetch-depth: 0
2025-08-26T20:04:04.1298443Z   submodules: recursive
2025-08-26T20:04:04.1298717Z   show-progress: false
2025-08-26T20:04:04.1298996Z   repository: pytorch/pytorch
2025-08-26T20:04:04.1299425Z   token: ***
2025-08-26T20:04:04.1299663Z   ssh-strict: true
2025-08-26T20:04:04.1299897Z   ssh-user: git
2025-08-26T20:04:04.1300150Z   persist-credentials: true
2025-08-26T20:04:04.1300431Z   clean: true
2025-08-26T20:04:04.1300696Z   sparse-checkout-cone-mode: true
2025-08-26T20:04:04.1300996Z   fetch-tags: false
2025-08-26T20:04:04.1301237Z   lfs: false
2025-08-26T20:04:04.1301472Z   set-safe-directory: true
2025-08-26T20:04:04.1301754Z env:
2025-08-26T20:04:04.1301978Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:04:04.1302366Z ##[endgroup]
2025-08-26T20:04:04.2400948Z Syncing repository: pytorch/pytorch
2025-08-26T20:04:04.2403052Z ##[group]Getting Git version info
2025-08-26T20:04:04.2403922Z Working directory is '/home/ec2-user/actions-runner/_work/pytorch/pytorch'
2025-08-26T20:04:04.2405097Z [command]/usr/bin/git version
2025-08-26T20:04:04.2559170Z git version 2.47.1
2025-08-26T20:04:04.2583985Z ##[endgroup]
2025-08-26T20:04:04.2594059Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/7d40b1e8-7c97-45ff-b7f4-a77b6d65d0c9/.gitconfig'
2025-08-26T20:04:04.2607142Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/7d40b1e8-7c97-45ff-b7f4-a77b6d65d0c9' before making global git config changes
2025-08-26T20:04:04.2608173Z Adding repository directory to the temporary git global config as a safe directory
2025-08-26T20:04:04.2620119Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-08-26T20:04:04.2661495Z Deleting the contents of '/home/ec2-user/actions-runner/_work/pytorch/pytorch'
2025-08-26T20:04:04.2664898Z ##[group]Initializing the repository
2025-08-26T20:04:04.2669241Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-08-26T20:04:04.2718989Z hint: Using 'master' as the name for the initial branch. This default branch name
2025-08-26T20:04:04.2719686Z hint: is subject to change. To configure the initial branch name to use in all
2025-08-26T20:04:04.2720275Z hint: of your new repositories, which will suppress this warning, call:
2025-08-26T20:04:04.2720712Z hint:
2025-08-26T20:04:04.2721021Z hint: 	git config --global init.defaultBranch <name>
2025-08-26T20:04:04.2721386Z hint:
2025-08-26T20:04:04.2721722Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and
2025-08-26T20:04:04.2722342Z hint: 'development'. The just-created branch can be renamed via this command:
2025-08-26T20:04:04.2722802Z hint:
2025-08-26T20:04:04.2723034Z hint: 	git branch -m <name>
2025-08-26T20:04:04.2738917Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/
2025-08-26T20:04:04.2748892Z [command]/usr/bin/git remote add origin https://github.com/pytorch/pytorch
2025-08-26T20:04:04.2783187Z ##[endgroup]
2025-08-26T20:04:04.2783697Z ##[group]Disabling automatic garbage collection
2025-08-26T20:04:04.2786873Z [command]/usr/bin/git config --local gc.auto 0
2025-08-26T20:04:04.2811935Z ##[endgroup]
2025-08-26T20:04:04.2812383Z ##[group]Setting up auth
2025-08-26T20:04:04.2818343Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
2025-08-26T20:04:04.2844869Z [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' || :"
2025-08-26T20:04:04.3164372Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
2025-08-26T20:04:04.3188976Z [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' || :"
2025-08-26T20:04:04.3471458Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic ***
2025-08-26T20:04:04.3505617Z ##[endgroup]
2025-08-26T20:04:04.3506230Z ##[group]Fetching the repository
2025-08-26T20:04:04.3513348Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/*
2025-08-26T20:04:58.4516488Z From https://github.com/pytorch/pytorch
2025-08-26T20:04:58.4517009Z  * [new branch]              160583                      -> origin/160583
2025-08-26T20:04:58.4517629Z  * [new branch]              2.6.0.dev20241004+          -> origin/2.6.0.dev20241004+
2025-08-26T20:04:58.4518199Z  * [new branch]              5addvllmbuild               -> origin/5addvllmbuild
2025-08-26T20:04:58.4518847Z  * [new branch]              AaronWang04_addmmfusion_perftest -> origin/AaronWang04_addmmfusion_perftest
2025-08-26T20:04:58.4519824Z  * [new branch]              HDCharles-2.6.0-release-notes -> origin/HDCharles-2.6.0-release-notes
2025-08-26T20:04:58.4520437Z  * [new branch]              ISSUE-154849                -> origin/ISSUE-154849
2025-08-26T20:04:58.4521121Z  * [new branch]              JackCaoG/dynamo_make_fx_non_core_aten_ops -> origin/JackCaoG/dynamo_make_fx_non_core_aten_ops
2025-08-26T20:04:58.4521868Z  * [new branch]              PR-AOTInductorNoneBug       -> origin/PR-AOTInductorNoneBug
2025-08-26T20:04:58.4522909Z  * [new branch]              PR-AOTInductorNoneBugFix    -> origin/PR-AOTInductorNoneBugFix
2025-08-26T20:04:58.4524035Z  * [new branch]              PR-FixConfigsIssue          -> origin/PR-FixConfigsIssue
2025-08-26T20:04:58.4525356Z  * [new branch]              PR-NoneBugFix-viable        -> origin/PR-NoneBugFix-viable
2025-08-26T20:04:58.4526362Z  * [new branch]              PR-ResetToZero              -> origin/PR-ResetToZero
2025-08-26T20:04:58.4527827Z  * [new branch]              Update-Flash-Packaging      -> origin/Update-Flash-Packaging
2025-08-26T20:04:58.4528924Z  * [new branch]              VLA_exp                     -> origin/VLA_exp
2025-08-26T20:04:58.4530439Z  * [new branch]              add-missing-args-normalization -> origin/add-missing-args-normalization
2025-08-26T20:04:58.4531883Z  * [new branch]              add-user-guide-structure    -> origin/add-user-guide-structure
2025-08-26T20:04:58.4533544Z  * [new branch]              addVllmPin                  -> origin/addVllmPin
2025-08-26T20:04:58.4534921Z  * [new branch]              add_compile_benchmarking    -> origin/add_compile_benchmarking
2025-08-26T20:04:58.4535907Z  * [new branch]              add_windows_testing_back    -> origin/add_windows_testing_back
2025-08-26T20:04:58.4537234Z  * [new branch]              addbuildvllm                -> origin/addbuildvllm
2025-08-26T20:04:58.4538289Z  * [new branch]              addmm-heuristic             -> origin/addmm-heuristic
2025-08-26T20:04:58.4539518Z  * [new branch]              addsimde                    -> origin/addsimde
2025-08-26T20:04:58.4541364Z  * [new branch]              adi/acl_upgrade             -> origin/adi/acl_upgrade
2025-08-26T20:04:58.4542364Z  * [new branch]              adi/test                    -> origin/adi/test
2025-08-26T20:04:58.4543536Z  * [new branch]              adi/test_bgemm              -> origin/adi/test_bgemm
2025-08-26T20:04:58.4544574Z  * [new branch]              adi/test_fusions            -> origin/adi/test_fusions
2025-08-26T20:04:58.4545761Z  * [new branch]              adi/test_onednn_v3.9        -> origin/adi/test_onednn_v3.9
2025-08-26T20:04:58.4546978Z  * [new branch]              adi/test_presve_change      -> origin/adi/test_presve_change
2025-08-26T20:04:58.4548158Z  * [new branch]              adi/test_timm               -> origin/adi/test_timm
2025-08-26T20:04:58.4549468Z  * [new branch]              adi/testpresve_change       -> origin/adi/testpresve_change
2025-08-26T20:04:58.4551473Z  * [new branch]              aditew01/test/vec_bf16      -> origin/aditew01/test/vec_bf16
2025-08-26T20:04:58.4552470Z  * [new branch]              ah-globalfeedback-hook      -> origin/ah-globalfeedback-hook
2025-08-26T20:04:58.4553612Z  * [new branch]              alt-disable                 -> origin/alt-disable
2025-08-26T20:04:58.4555402Z  * [new branch]              angelayi/aoti_additional_files -> origin/angelayi/aoti_additional_files
2025-08-26T20:04:58.4556531Z  * [new branch]              angelayi/aoti_inductor_fx   -> origin/angelayi/aoti_inductor_fx
2025-08-26T20:04:58.4557705Z  * [new branch]              angelayi/assert_tensor_metadata_device -> origin/angelayi/assert_tensor_metadata_device
2025-08-26T20:04:58.4558743Z  * [new branch]              angelayi/benchmark          -> origin/angelayi/benchmark
2025-08-26T20:04:58.4559907Z  * [new branch]              angelayi/benchmark2         -> origin/angelayi/benchmark2
2025-08-26T20:04:58.4561257Z  * [new branch]              angelayi/change_pytree_serialization -> origin/angelayi/change_pytree_serialization
2025-08-26T20:04:58.4562549Z  * [new branch]              angelayi/cpp_loader         -> origin/angelayi/cpp_loader
2025-08-26T20:04:58.4564293Z  * [new branch]              angelayi/custom_op_subgraph -> origin/angelayi/custom_op_subgraph
2025-08-26T20:04:58.4565190Z  * [new branch]              angelayi/customop           -> origin/angelayi/customop
2025-08-26T20:04:58.4566379Z  * [new branch]              angelayi/is_symbolic_tracing -> origin/angelayi/is_symbolic_tracing
2025-08-26T20:04:58.4567774Z  * [new branch]              angelayi/logging.bak        -> origin/angelayi/logging.bak
2025-08-26T20:04:58.4568720Z  * [new branch]              angelayi/logging2           -> origin/angelayi/logging2
2025-08-26T20:04:58.4569888Z  * [new branch]              angelayi/no_so_weight       -> origin/angelayi/no_so_weight
2025-08-26T20:04:58.4570818Z  * [new branch]              angelayi/opoverload         -> origin/angelayi/opoverload
2025-08-26T20:04:58.4571904Z  * [new branch]              angelayi/pytree             -> origin/angelayi/pytree
2025-08-26T20:04:58.4573049Z  * [new branch]              angelayi/save_error         -> origin/angelayi/save_error
2025-08-26T20:04:58.4574154Z  * [new branch]              angelayi/scan_layers        -> origin/angelayi/scan_layers
2025-08-26T20:04:58.4575274Z  * [new branch]              angelayi/symint_input       -> origin/angelayi/symint_input
2025-08-26T20:04:58.4576460Z  * [new branch]              angelayi/tensor_nn_module_meta -> origin/angelayi/tensor_nn_module_meta
2025-08-26T20:04:58.4577532Z  * [new branch]              angelayi/test_cpp           -> origin/angelayi/test_cpp
2025-08-26T20:04:58.4578520Z  * [new branch]              angelayi/torch_size         -> origin/angelayi/torch_size
2025-08-26T20:04:58.4579653Z  * [new branch]              aoti-cuda-alloc             -> origin/aoti-cuda-alloc
2025-08-26T20:04:58.4580710Z  * [new branch]              aoti_weight_sharing         -> origin/aoti_weight_sharing
2025-08-26T20:04:58.4582488Z  * [new branch]              arsh/symint_mm_ind_decomp   -> origin/arsh/symint_mm_ind_decomp
2025-08-26T20:04:58.4583517Z  * [new branch]              atalman-inductor-perf-cu124 -> origin/atalman-inductor-perf-cu124
2025-08-26T20:04:58.4584682Z  * [new branch]              atalman-inductor-perf-cu124.1 -> origin/atalman-inductor-perf-cu124.1
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2025-08-26T20:04:59.1259838Z  * [new branch]              zxiiro/main                 -> origin/zxiiro/main
2025-08-26T20:04:59.1261241Z  * [new branch]              zxiiro/test                 -> origin/zxiiro/test
2025-08-26T20:04:59.1263300Z  * [new tag]                 bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug -> bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug
2025-08-26T20:04:59.1264181Z  * [new tag]                 ci/binaries/77164           -> ci/binaries/77164
2025-08-26T20:04:59.1266035Z  * [new tag]                 ciflow/binaries/153920      -> ciflow/binaries/153920
2025-08-26T20:04:59.1266943Z  * [new tag]                 ciflow/binaries/158104      -> ciflow/binaries/158104
2025-08-26T20:04:59.1268938Z  * [new tag]                 ciflow/binaries/160229      -> ciflow/binaries/160229
2025-08-26T20:04:59.1269896Z  * [new tag]                 ciflow/binaries/160853      -> ciflow/binaries/160853
2025-08-26T20:04:59.1270982Z  * [new tag]                 ciflow/binaries/161257      -> ciflow/binaries/161257
2025-08-26T20:04:59.1272728Z  * [new tag]                 ciflow/binaries_libtorch/156049 -> ciflow/binaries_libtorch/156049
2025-08-26T20:04:59.1273828Z  * [new tag]                 ciflow/binaries_wheel/156049 -> ciflow/binaries_wheel/156049
2025-08-26T20:04:59.1275122Z  * [new tag]                 ciflow/binaries_wheel/158733 -> ciflow/binaries_wheel/158733
2025-08-26T20:04:59.1276707Z  * [new tag]                 ciflow/binaries_wheel/160207 -> ciflow/binaries_wheel/160207
2025-08-26T20:04:59.1278175Z  * [new tag]                 ciflow/h100-symm-mem/151845 -> ciflow/h100-symm-mem/151845
2025-08-26T20:04:59.1279242Z  * [new tag]                 ciflow/h100-symm-mem/155923 -> ciflow/h100-symm-mem/155923
2025-08-26T20:04:59.1280272Z  * [new tag]                 ciflow/h100-symm-mem/157635 -> ciflow/h100-symm-mem/157635
2025-08-26T20:04:59.1281835Z  * [new tag]                 ciflow/h100-symm-mem/159562 -> ciflow/h100-symm-mem/159562
2025-08-26T20:04:59.1282748Z  * [new tag]                 ciflow/h100-symm-mem/159889 -> ciflow/h100-symm-mem/159889
2025-08-26T20:04:59.1283871Z  * [new tag]                 ciflow/h100-symm-mem/160825 -> ciflow/h100-symm-mem/160825
2025-08-26T20:04:59.1284869Z  * [new tag]                 ciflow/h100-symm-mem/161008 -> ciflow/h100-symm-mem/161008
2025-08-26T20:04:59.1285931Z  * [new tag]                 ciflow/h100-symm-mem/161090 -> ciflow/h100-symm-mem/161090
2025-08-26T20:04:59.1287152Z  * [new tag]                 ciflow/h100-symm-mem/161214 -> ciflow/h100-symm-mem/161214
2025-08-26T20:04:59.1288009Z  * [new tag]                 ciflow/h100-symm-mem/161217 -> ciflow/h100-symm-mem/161217
2025-08-26T20:04:59.1289131Z  * [new tag]                 ciflow/h100-symm-mem/161232 -> ciflow/h100-symm-mem/161232
2025-08-26T20:04:59.1290701Z  * [new tag]                 ciflow/h100-symm-mem/161257 -> ciflow/h100-symm-mem/161257
2025-08-26T20:04:59.1292225Z  * [new tag]                 ciflow/h100-symm-mem/161309 -> ciflow/h100-symm-mem/161309
2025-08-26T20:04:59.1293419Z  * [new tag]                 ciflow/h100-symm-mem/161470 -> ciflow/h100-symm-mem/161470
2025-08-26T20:04:59.1294551Z  * [new tag]                 ciflow/h100-symm-mem/161471 -> ciflow/h100-symm-mem/161471
2025-08-26T20:04:59.1295659Z  * [new tag]                 ciflow/h100-symm-mem/161532 -> ciflow/h100-symm-mem/161532
2025-08-26T20:04:59.1296797Z  * [new tag]                 ciflow/h100-symm-mem/161533 -> ciflow/h100-symm-mem/161533
2025-08-26T20:04:59.1298191Z  * [new tag]                 ciflow/h100/159158          -> ciflow/h100/159158
2025-08-26T20:04:59.1299075Z  * [new tag]                 ciflow/h100/161225          -> ciflow/h100/161225
2025-08-26T20:04:59.1300970Z  * [new tag]                 ciflow/inductor-perf-test-nightly-rocm/151845 -> ciflow/inductor-perf-test-nightly-rocm/151845
2025-08-26T20:04:59.1302224Z  * [new tag]                 ciflow/inductor-perf-test-nightly-x86-zen/161512 -> ciflow/inductor-perf-test-nightly-x86-zen/161512
2025-08-26T20:04:59.1303991Z  * [new tag]                 ciflow/inductor-periodic/158137 -> ciflow/inductor-periodic/158137
2025-08-26T20:04:59.1304836Z  * [new tag]                 ciflow/inductor-periodic/160807 -> ciflow/inductor-periodic/160807
2025-08-26T20:04:59.1305982Z  * [new tag]                 ciflow/inductor-periodic/161461 -> ciflow/inductor-periodic/161461
2025-08-26T20:04:59.1307041Z  * [new tag]                 ciflow/inductor-periodic/161536 -> ciflow/inductor-periodic/161536
2025-08-26T20:04:59.1308824Z  * [new tag]                 ciflow/inductor-periodic/2f0de0ff9361ca4f2b1e6f9edbc600b5fb6abcd6 -> ciflow/inductor-periodic/2f0de0ff9361ca4f2b1e6f9edbc600b5fb6abcd6
2025-08-26T20:04:59.1310530Z  * [new tag]                 ciflow/inductor-periodic/3e5b021f217a42ae55dc690083f67a28126808ed -> ciflow/inductor-periodic/3e5b021f217a42ae55dc690083f67a28126808ed
2025-08-26T20:04:59.1312313Z  * [new tag]                 ciflow/inductor-periodic/f912c93344caa74e24c8164a2e25fe84a8203073 -> ciflow/inductor-periodic/f912c93344caa74e24c8164a2e25fe84a8203073
2025-08-26T20:04:59.1312916Z  * [new tag]                 ciflow/inductor-rocm/151845 -> ciflow/inductor-rocm/151845
2025-08-26T20:04:59.1313953Z  * [new tag]                 ciflow/inductor-rocm/159158 -> ciflow/inductor-rocm/159158
2025-08-26T20:04:59.1315467Z  * [new tag]                 ciflow/inductor-rocm/160671 -> ciflow/inductor-rocm/160671
2025-08-26T20:04:59.1316589Z  * [new tag]                 ciflow/inductor-rocm/161180 -> ciflow/inductor-rocm/161180
2025-08-26T20:04:59.1317592Z  * [new tag]                 ciflow/inductor-rocm/161225 -> ciflow/inductor-rocm/161225
2025-08-26T20:04:59.1319029Z  * [new tag]                 ciflow/inductor-rocm/161521 -> ciflow/inductor-rocm/161521
2025-08-26T20:04:59.1320723Z  * [new tag]                 ciflow/inductor-windows/160406 -> ciflow/inductor-windows/160406
2025-08-26T20:04:59.1321780Z  * [new tag]                 ciflow/inductor/148492      -> ciflow/inductor/148492
2025-08-26T20:04:59.1322845Z  * [new tag]                 ciflow/inductor/151845      -> ciflow/inductor/151845
2025-08-26T20:04:59.1323858Z  * [new tag]                 ciflow/inductor/154694      -> ciflow/inductor/154694
2025-08-26T20:04:59.1324944Z  * [new tag]                 ciflow/inductor/155072      -> ciflow/inductor/155072
2025-08-26T20:04:59.1325976Z  * [new tag]                 ciflow/inductor/155152      -> ciflow/inductor/155152
2025-08-26T20:04:59.1327166Z  * [new tag]                 ciflow/inductor/155153      -> ciflow/inductor/155153
2025-08-26T20:04:59.1328113Z  * [new tag]                 ciflow/inductor/155154      -> ciflow/inductor/155154
2025-08-26T20:04:59.1329190Z  * [new tag]                 ciflow/inductor/155501      -> ciflow/inductor/155501
2025-08-26T20:04:59.1330238Z  * [new tag]                 ciflow/inductor/155502      -> ciflow/inductor/155502
2025-08-26T20:04:59.1331327Z  * [new tag]                 ciflow/inductor/155503      -> ciflow/inductor/155503
2025-08-26T20:04:59.1332326Z  * [new tag]                 ciflow/inductor/155557      -> ciflow/inductor/155557
2025-08-26T20:04:59.1333914Z  * [new tag]                 ciflow/inductor/155608      -> ciflow/inductor/155608
2025-08-26T20:04:59.1335379Z  * [new tag]                 ciflow/inductor/155923      -> ciflow/inductor/155923
2025-08-26T20:04:59.1336500Z  * [new tag]                 ciflow/inductor/155928      -> ciflow/inductor/155928
2025-08-26T20:04:59.1338253Z  * [new tag]                 ciflow/inductor/156875      -> ciflow/inductor/156875
2025-08-26T20:04:59.1339315Z  * [new tag]                 ciflow/inductor/156967      -> ciflow/inductor/156967
2025-08-26T20:04:59.1340679Z  * [new tag]                 ciflow/inductor/157298      -> ciflow/inductor/157298
2025-08-26T20:04:59.1343228Z  * [new tag]                 ciflow/inductor/157572      -> ciflow/inductor/157572
2025-08-26T20:04:59.1344554Z  * [new tag]                 ciflow/inductor/157635      -> ciflow/inductor/157635
2025-08-26T20:04:59.1345170Z  * [new tag]                 ciflow/inductor/157743      -> ciflow/inductor/157743
2025-08-26T20:04:59.1345825Z  * [new tag]                 ciflow/inductor/157767      -> ciflow/inductor/157767
2025-08-26T20:04:59.1346609Z  * [new tag]                 ciflow/inductor/157944      -> ciflow/inductor/157944
2025-08-26T20:04:59.1347326Z  * [new tag]                 ciflow/inductor/158061      -> ciflow/inductor/158061
2025-08-26T20:04:59.1348055Z  * [new tag]                 ciflow/inductor/158097      -> ciflow/inductor/158097
2025-08-26T20:04:59.1348825Z  * [new tag]                 ciflow/inductor/158098      -> ciflow/inductor/158098
2025-08-26T20:04:59.1349517Z  * [new tag]                 ciflow/inductor/158104      -> ciflow/inductor/158104
2025-08-26T20:04:59.1350255Z  * [new tag]                 ciflow/inductor/158137      -> ciflow/inductor/158137
2025-08-26T20:04:59.1350972Z  * [new tag]                 ciflow/inductor/158321      -> ciflow/inductor/158321
2025-08-26T20:04:59.1351716Z  * [new tag]                 ciflow/inductor/158609      -> ciflow/inductor/158609
2025-08-26T20:04:59.1352725Z  * [new tag]                 ciflow/inductor/158932      -> ciflow/inductor/158932
2025-08-26T20:04:59.1353411Z  * [new tag]                 ciflow/inductor/159003      -> ciflow/inductor/159003
2025-08-26T20:04:59.1354082Z  * [new tag]                 ciflow/inductor/159158      -> ciflow/inductor/159158
2025-08-26T20:04:59.1355084Z  * [new tag]                 ciflow/inductor/159274      -> ciflow/inductor/159274
2025-08-26T20:04:59.1355794Z  * [new tag]                 ciflow/inductor/159387      -> ciflow/inductor/159387
2025-08-26T20:04:59.1356620Z  * [new tag]                 ciflow/inductor/159473      -> ciflow/inductor/159473
2025-08-26T20:04:59.1357389Z  * [new tag]                 ciflow/inductor/159664      -> ciflow/inductor/159664
2025-08-26T20:04:59.1358413Z  * [new tag]                 ciflow/inductor/159778      -> ciflow/inductor/159778
2025-08-26T20:04:59.1359050Z  * [new tag]                 ciflow/inductor/159786      -> ciflow/inductor/159786
2025-08-26T20:04:59.1359769Z  * [new tag]                 ciflow/inductor/159835      -> ciflow/inductor/159835
2025-08-26T20:04:59.1360512Z  * [new tag]                 ciflow/inductor/159889      -> ciflow/inductor/159889
2025-08-26T20:04:59.1361524Z  * [new tag]                 ciflow/inductor/159923      -> ciflow/inductor/159923
2025-08-26T20:04:59.1362339Z  * [new tag]                 ciflow/inductor/159944      -> ciflow/inductor/159944
2025-08-26T20:04:59.1363174Z  * [new tag]                 ciflow/inductor/160080      -> ciflow/inductor/160080
2025-08-26T20:04:59.1364009Z  * [new tag]                 ciflow/inductor/160111      -> ciflow/inductor/160111
2025-08-26T20:04:59.1365281Z  * [new tag]                 ciflow/inductor/160138      -> ciflow/inductor/160138
2025-08-26T20:04:59.1365907Z  * [new tag]                 ciflow/inductor/160156      -> ciflow/inductor/160156
2025-08-26T20:04:59.1366785Z  * [new tag]                 ciflow/inductor/160180      -> ciflow/inductor/160180
2025-08-26T20:04:59.1367658Z  * [new tag]                 ciflow/inductor/160198      -> ciflow/inductor/160198
2025-08-26T20:04:59.1368398Z  * [new tag]                 ciflow/inductor/160258      -> ciflow/inductor/160258
2025-08-26T20:04:59.1369149Z  * [new tag]                 ciflow/inductor/160266      -> ciflow/inductor/160266
2025-08-26T20:04:59.1369887Z  * [new tag]                 ciflow/inductor/160282      -> ciflow/inductor/160282
2025-08-26T20:04:59.1370857Z  * [new tag]                 ciflow/inductor/160323      -> ciflow/inductor/160323
2025-08-26T20:04:59.1371847Z  * [new tag]                 ciflow/inductor/160324      -> ciflow/inductor/160324
2025-08-26T20:04:59.1372776Z  * [new tag]                 ciflow/inductor/160325      -> ciflow/inductor/160325
2025-08-26T20:04:59.1373685Z  * [new tag]                 ciflow/inductor/160326      -> ciflow/inductor/160326
2025-08-26T20:04:59.1374416Z  * [new tag]                 ciflow/inductor/160327      -> ciflow/inductor/160327
2025-08-26T20:04:59.1375182Z  * [new tag]                 ciflow/inductor/160328      -> ciflow/inductor/160328
2025-08-26T20:04:59.1376130Z  * [new tag]                 ciflow/inductor/160329      -> ciflow/inductor/160329
2025-08-26T20:04:59.1377121Z  * [new tag]                 ciflow/inductor/160431      -> ciflow/inductor/160431
2025-08-26T20:04:59.1377770Z  * [new tag]                 ciflow/inductor/160448      -> ciflow/inductor/160448
2025-08-26T20:04:59.1378509Z  * [new tag]                 ciflow/inductor/160449      -> ciflow/inductor/160449
2025-08-26T20:04:59.1379213Z  * [new tag]                 ciflow/inductor/160467      -> ciflow/inductor/160467
2025-08-26T20:04:59.1380150Z  * [new tag]                 ciflow/inductor/160470      -> ciflow/inductor/160470
2025-08-26T20:04:59.1380726Z  * [new tag]                 ciflow/inductor/160483      -> ciflow/inductor/160483
2025-08-26T20:04:59.1381473Z  * [new tag]                 ciflow/inductor/160527      -> ciflow/inductor/160527
2025-08-26T20:04:59.1382521Z  * [new tag]                 ciflow/inductor/160532      -> ciflow/inductor/160532
2025-08-26T20:04:59.1384068Z  * [new tag]                 ciflow/inductor/160539      -> ciflow/inductor/160539
2025-08-26T20:04:59.1384720Z  * [new tag]                 ciflow/inductor/160580      -> ciflow/inductor/160580
2025-08-26T20:04:59.1385505Z  * [new tag]                 ciflow/inductor/160601      -> ciflow/inductor/160601
2025-08-26T20:04:59.1386385Z  * [new tag]                 ciflow/inductor/160611      -> ciflow/inductor/160611
2025-08-26T20:04:59.1387041Z  * [new tag]                 ciflow/inductor/160669      -> ciflow/inductor/160669
2025-08-26T20:04:59.1387816Z  * [new tag]                 ciflow/inductor/160670      -> ciflow/inductor/160670
2025-08-26T20:04:59.1388509Z  * [new tag]                 ciflow/inductor/160671      -> ciflow/inductor/160671
2025-08-26T20:04:59.1389570Z  * [new tag]                 ciflow/inductor/160677      -> ciflow/inductor/160677
2025-08-26T20:04:59.1390163Z  * [new tag]                 ciflow/inductor/160690      -> ciflow/inductor/160690
2025-08-26T20:04:59.1390959Z  * [new tag]                 ciflow/inductor/160763      -> ciflow/inductor/160763
2025-08-26T20:04:59.1392031Z  * [new tag]                 ciflow/inductor/160772      -> ciflow/inductor/160772
2025-08-26T20:04:59.1392830Z  * [new tag]                 ciflow/inductor/160798      -> ciflow/inductor/160798
2025-08-26T20:04:59.1393619Z  * [new tag]                 ciflow/inductor/160807      -> ciflow/inductor/160807
2025-08-26T20:04:59.1394555Z  * [new tag]                 ciflow/inductor/160836      -> ciflow/inductor/160836
2025-08-26T20:04:59.1395265Z  * [new tag]                 ciflow/inductor/160861      -> ciflow/inductor/160861
2025-08-26T20:04:59.1395960Z  * [new tag]                 ciflow/inductor/160883      -> ciflow/inductor/160883
2025-08-26T20:04:59.1396693Z  * [new tag]                 ciflow/inductor/160888      -> ciflow/inductor/160888
2025-08-26T20:04:59.1397448Z  * [new tag]                 ciflow/inductor/160903      -> ciflow/inductor/160903
2025-08-26T20:04:59.1398156Z  * [new tag]                 ciflow/inductor/160913      -> ciflow/inductor/160913
2025-08-26T20:04:59.1398898Z  * [new tag]                 ciflow/inductor/160941      -> ciflow/inductor/160941
2025-08-26T20:04:59.1399609Z  * [new tag]                 ciflow/inductor/160943      -> ciflow/inductor/160943
2025-08-26T20:04:59.1400379Z  * [new tag]                 ciflow/inductor/160991      -> ciflow/inductor/160991
2025-08-26T20:04:59.1401420Z  * [new tag]                 ciflow/inductor/160997      -> ciflow/inductor/160997
2025-08-26T20:04:59.1402073Z  * [new tag]                 ciflow/inductor/161003      -> ciflow/inductor/161003
2025-08-26T20:04:59.1402772Z  * [new tag]                 ciflow/inductor/161026      -> ciflow/inductor/161026
2025-08-26T20:04:59.1403530Z  * [new tag]                 ciflow/inductor/161032      -> ciflow/inductor/161032
2025-08-26T20:04:59.1404472Z  * [new tag]                 ciflow/inductor/161040      -> ciflow/inductor/161040
2025-08-26T20:04:59.1405136Z  * [new tag]                 ciflow/inductor/161055      -> ciflow/inductor/161055
2025-08-26T20:04:59.1405882Z  * [new tag]                 ciflow/inductor/161062      -> ciflow/inductor/161062
2025-08-26T20:04:59.1406627Z  * [new tag]                 ciflow/inductor/161069      -> ciflow/inductor/161069
2025-08-26T20:04:59.1407409Z  * [new tag]                 ciflow/inductor/161092      -> ciflow/inductor/161092
2025-08-26T20:04:59.1408100Z  * [new tag]                 ciflow/inductor/161093      -> ciflow/inductor/161093
2025-08-26T20:04:59.1408873Z  * [new tag]                 ciflow/inductor/161097      -> ciflow/inductor/161097
2025-08-26T20:04:59.1409583Z  * [new tag]                 ciflow/inductor/161098      -> ciflow/inductor/161098
2025-08-26T20:04:59.1410590Z  * [new tag]                 ciflow/inductor/161100      -> ciflow/inductor/161100
2025-08-26T20:04:59.1411084Z  * [new tag]                 ciflow/inductor/161107      -> ciflow/inductor/161107
2025-08-26T20:04:59.1412184Z  * [new tag]                 ciflow/inductor/161110      -> ciflow/inductor/161110
2025-08-26T20:04:59.1412803Z  * [new tag]                 ciflow/inductor/161117      -> ciflow/inductor/161117
2025-08-26T20:04:59.1413563Z  * [new tag]                 ciflow/inductor/161118      -> ciflow/inductor/161118
2025-08-26T20:04:59.1414359Z  * [new tag]                 ciflow/inductor/161123      -> ciflow/inductor/161123
2025-08-26T20:04:59.1415083Z  * [new tag]                 ciflow/inductor/161124      -> ciflow/inductor/161124
2025-08-26T20:04:59.1415824Z  * [new tag]                 ciflow/inductor/161125      -> ciflow/inductor/161125
2025-08-26T20:04:59.1417058Z  * [new tag]                 ciflow/inductor/161126      -> ciflow/inductor/161126
2025-08-26T20:04:59.1417830Z  * [new tag]                 ciflow/inductor/161144      -> ciflow/inductor/161144
2025-08-26T20:04:59.1418764Z  * [new tag]                 ciflow/inductor/161148      -> ciflow/inductor/161148
2025-08-26T20:04:59.1419378Z  * [new tag]                 ciflow/inductor/161158      -> ciflow/inductor/161158
2025-08-26T20:04:59.1420411Z  * [new tag]                 ciflow/inductor/161178      -> ciflow/inductor/161178
2025-08-26T20:04:59.1421068Z  * [new tag]                 ciflow/inductor/161190      -> ciflow/inductor/161190
2025-08-26T20:04:59.1421800Z  * [new tag]                 ciflow/inductor/161208      -> ciflow/inductor/161208
2025-08-26T20:04:59.1422604Z  * [new tag]                 ciflow/inductor/161225      -> ciflow/inductor/161225
2025-08-26T20:04:59.1423377Z  * [new tag]                 ciflow/inductor/161229      -> ciflow/inductor/161229
2025-08-26T20:04:59.1424189Z  * [new tag]                 ciflow/inductor/161237      -> ciflow/inductor/161237
2025-08-26T20:04:59.1424937Z  * [new tag]                 ciflow/inductor/161241      -> ciflow/inductor/161241
2025-08-26T20:04:59.1425901Z  * [new tag]                 ciflow/inductor/161246      -> ciflow/inductor/161246
2025-08-26T20:04:59.1426720Z  * [new tag]                 ciflow/inductor/161274      -> ciflow/inductor/161274
2025-08-26T20:04:59.1427562Z  * [new tag]                 ciflow/inductor/161278      -> ciflow/inductor/161278
2025-08-26T20:04:59.1428522Z  * [new tag]                 ciflow/inductor/161279      -> ciflow/inductor/161279
2025-08-26T20:04:59.1429228Z  * [new tag]                 ciflow/inductor/161288      -> ciflow/inductor/161288
2025-08-26T20:04:59.1430260Z  * [new tag]                 ciflow/inductor/161314      -> ciflow/inductor/161314
2025-08-26T20:04:59.1430881Z  * [new tag]                 ciflow/inductor/161320      -> ciflow/inductor/161320
2025-08-26T20:04:59.1431629Z  * [new tag]                 ciflow/inductor/161336      -> ciflow/inductor/161336
2025-08-26T20:04:59.1432376Z  * [new tag]                 ciflow/inductor/161337      -> ciflow/inductor/161337
2025-08-26T20:04:59.1433080Z  * [new tag]                 ciflow/inductor/161338      -> ciflow/inductor/161338
2025-08-26T20:04:59.1433809Z  * [new tag]                 ciflow/inductor/161339      -> ciflow/inductor/161339
2025-08-26T20:04:59.1434538Z  * [new tag]                 ciflow/inductor/161340      -> ciflow/inductor/161340
2025-08-26T20:04:59.1435289Z  * [new tag]                 ciflow/inductor/161341      -> ciflow/inductor/161341
2025-08-26T20:04:59.1436015Z  * [new tag]                 ciflow/inductor/161342      -> ciflow/inductor/161342
2025-08-26T20:04:59.1436751Z  * [new tag]                 ciflow/inductor/161343      -> ciflow/inductor/161343
2025-08-26T20:04:59.1437493Z  * [new tag]                 ciflow/inductor/161344      -> ciflow/inductor/161344
2025-08-26T20:04:59.1438303Z  * [new tag]                 ciflow/inductor/161345      -> ciflow/inductor/161345
2025-08-26T20:04:59.1438996Z  * [new tag]                 ciflow/inductor/161346      -> ciflow/inductor/161346
2025-08-26T20:04:59.1439806Z  * [new tag]                 ciflow/inductor/161347      -> ciflow/inductor/161347
2025-08-26T20:04:59.1440744Z  * [new tag]                 ciflow/inductor/161348      -> ciflow/inductor/161348
2025-08-26T20:04:59.1441754Z  * [new tag]                 ciflow/inductor/161349      -> ciflow/inductor/161349
2025-08-26T20:04:59.1442243Z  * [new tag]                 ciflow/inductor/161350      -> ciflow/inductor/161350
2025-08-26T20:04:59.1443007Z  * [new tag]                 ciflow/inductor/161351      -> ciflow/inductor/161351
2025-08-26T20:04:59.1443764Z  * [new tag]                 ciflow/inductor/161353      -> ciflow/inductor/161353
2025-08-26T20:04:59.1444490Z  * [new tag]                 ciflow/inductor/161354      -> ciflow/inductor/161354
2025-08-26T20:04:59.1445213Z  * [new tag]                 ciflow/inductor/161355      -> ciflow/inductor/161355
2025-08-26T20:04:59.1445940Z  * [new tag]                 ciflow/inductor/161362      -> ciflow/inductor/161362
2025-08-26T20:04:59.1446668Z  * [new tag]                 ciflow/inductor/161363      -> ciflow/inductor/161363
2025-08-26T20:04:59.1447410Z  * [new tag]                 ciflow/inductor/161382      -> ciflow/inductor/161382
2025-08-26T20:04:59.1448121Z  * [new tag]                 ciflow/inductor/161383      -> ciflow/inductor/161383
2025-08-26T20:04:59.1448842Z  * [new tag]                 ciflow/inductor/161385      -> ciflow/inductor/161385
2025-08-26T20:04:59.1449613Z  * [new tag]                 ciflow/inductor/161396      -> ciflow/inductor/161396
2025-08-26T20:04:59.1450508Z  * [new tag]                 ciflow/inductor/161397      -> ciflow/inductor/161397
2025-08-26T20:04:59.1451303Z  * [new tag]                 ciflow/inductor/161404      -> ciflow/inductor/161404
2025-08-26T20:04:59.1451916Z  * [new tag]                 ciflow/inductor/161405      -> ciflow/inductor/161405
2025-08-26T20:04:59.1452668Z  * [new tag]                 ciflow/inductor/161406      -> ciflow/inductor/161406
2025-08-26T20:04:59.1453646Z  * [new tag]                 ciflow/inductor/161409      -> ciflow/inductor/161409
2025-08-26T20:04:59.1454609Z  * [new tag]                 ciflow/inductor/161410      -> ciflow/inductor/161410
2025-08-26T20:04:59.1455296Z  * [new tag]                 ciflow/inductor/161414      -> ciflow/inductor/161414
2025-08-26T20:04:59.1456048Z  * [new tag]                 ciflow/inductor/161416      -> ciflow/inductor/161416
2025-08-26T20:04:59.1456748Z  * [new tag]                 ciflow/inductor/161420      -> ciflow/inductor/161420
2025-08-26T20:04:59.1457473Z  * [new tag]                 ciflow/inductor/161431      -> ciflow/inductor/161431
2025-08-26T20:04:59.1458216Z  * [new tag]                 ciflow/inductor/161435      -> ciflow/inductor/161435
2025-08-26T20:04:59.1459158Z  * [new tag]                 ciflow/inductor/161440      -> ciflow/inductor/161440
2025-08-26T20:04:59.1459846Z  * [new tag]                 ciflow/inductor/161447      -> ciflow/inductor/161447
2025-08-26T20:04:59.1460555Z  * [new tag]                 ciflow/inductor/161452      -> ciflow/inductor/161452
2025-08-26T20:04:59.1461468Z  * [new tag]                 ciflow/inductor/161453      -> ciflow/inductor/161453
2025-08-26T20:04:59.1462119Z  * [new tag]                 ciflow/inductor/161458      -> ciflow/inductor/161458
2025-08-26T20:04:59.1462830Z  * [new tag]                 ciflow/inductor/161461      -> ciflow/inductor/161461
2025-08-26T20:04:59.1463559Z  * [new tag]                 ciflow/inductor/161464      -> ciflow/inductor/161464
2025-08-26T20:04:59.1464475Z  * [new tag]                 ciflow/inductor/161466      -> ciflow/inductor/161466
2025-08-26T20:04:59.1465143Z  * [new tag]                 ciflow/inductor/161468      -> ciflow/inductor/161468
2025-08-26T20:04:59.1466137Z  * [new tag]                 ciflow/inductor/161469      -> ciflow/inductor/161469
2025-08-26T20:04:59.1467256Z  * [new tag]                 ciflow/inductor/161474      -> ciflow/inductor/161474
2025-08-26T20:04:59.1467913Z  * [new tag]                 ciflow/inductor/161477      -> ciflow/inductor/161477
2025-08-26T20:04:59.1468868Z  * [new tag]                 ciflow/inductor/161485      -> ciflow/inductor/161485
2025-08-26T20:04:59.1469515Z  * [new tag]                 ciflow/inductor/161486      -> ciflow/inductor/161486
2025-08-26T20:04:59.1470269Z  * [new tag]                 ciflow/inductor/161487      -> ciflow/inductor/161487
2025-08-26T20:04:59.1471009Z  * [new tag]                 ciflow/inductor/161495      -> ciflow/inductor/161495
2025-08-26T20:04:59.1471979Z  * [new tag]                 ciflow/inductor/161497      -> ciflow/inductor/161497
2025-08-26T20:04:59.1472636Z  * [new tag]                 ciflow/inductor/161499      -> ciflow/inductor/161499
2025-08-26T20:04:59.1473382Z  * [new tag]                 ciflow/inductor/161512      -> ciflow/inductor/161512
2025-08-26T20:04:59.1474164Z  * [new tag]                 ciflow/inductor/161521      -> ciflow/inductor/161521
2025-08-26T20:04:59.1474900Z  * [new tag]                 ciflow/inductor/161526      -> ciflow/inductor/161526
2025-08-26T20:04:59.1475645Z  * [new tag]                 ciflow/inductor/161530      -> ciflow/inductor/161530
2025-08-26T20:04:59.1476379Z  * [new tag]                 ciflow/inductor/161534      -> ciflow/inductor/161534
2025-08-26T20:04:59.1477117Z  * [new tag]                 ciflow/inductor/161536      -> ciflow/inductor/161536
2025-08-26T20:04:59.1478153Z  * [new tag]                 ciflow/inductor/3b9a386     -> ciflow/inductor/3b9a386
2025-08-26T20:04:59.1479076Z  * [new tag]                 ciflow/inductor/3d4b92b     -> ciflow/inductor/3d4b92b
2025-08-26T20:04:59.1480033Z  * [new tag]                 ciflow/inductor/d224ac7     -> ciflow/inductor/d224ac7
2025-08-26T20:04:59.1480950Z  * [new tag]                 ciflow/linux-aarch64/159737 -> ciflow/linux-aarch64/159737
2025-08-26T20:04:59.1481546Z  * [new tag]                 ciflow/linux-aarch64/160078 -> ciflow/linux-aarch64/160078
2025-08-26T20:04:59.1482271Z  * [new tag]                 ciflow/linux-aarch64/160080 -> ciflow/linux-aarch64/160080
2025-08-26T20:04:59.1483176Z  * [new tag]                 ciflow/mps/155923           -> ciflow/mps/155923
2025-08-26T20:04:59.1483901Z  * [new tag]                 ciflow/mps/157553           -> ciflow/mps/157553
2025-08-26T20:04:59.1484546Z  * [new tag]                 ciflow/mps/157635           -> ciflow/mps/157635
2025-08-26T20:04:59.1485319Z  * [new tag]                 ciflow/mps/160839           -> ciflow/mps/160839
2025-08-26T20:04:59.1486020Z  * [new tag]                 ciflow/mps/161511           -> ciflow/mps/161511
2025-08-26T20:04:59.1486985Z  * [new tag]                 ciflow/nightly/158104       -> ciflow/nightly/158104
2025-08-26T20:04:59.1487984Z  * [new tag]                 ciflow/periodic-rocm-mi300/161180 -> ciflow/periodic-rocm-mi300/161180
2025-08-26T20:04:59.1489018Z  * [new tag]                 ciflow/periodic/054a2fd     -> ciflow/periodic/054a2fd
2025-08-26T20:04:59.1490130Z  * [new tag]                 ciflow/periodic/0dea191ff7b844352dc2cd5e3b5ef5ea13a76756 -> ciflow/periodic/0dea191ff7b844352dc2cd5e3b5ef5ea13a76756
2025-08-26T20:04:59.1490591Z  * [new tag]                 ciflow/periodic/156491      -> ciflow/periodic/156491
2025-08-26T20:04:59.1491376Z  * [new tag]                 ciflow/periodic/161013      -> ciflow/periodic/161013
2025-08-26T20:04:59.1492286Z  * [new tag]                 ciflow/periodic/2a6d37d     -> ciflow/periodic/2a6d37d
2025-08-26T20:04:59.1493106Z  * [new tag]                 ciflow/periodic/317eeb8     -> ciflow/periodic/317eeb8
2025-08-26T20:04:59.1493936Z  * [new tag]                 ciflow/periodic/3c32        -> ciflow/periodic/3c32
2025-08-26T20:04:59.1494953Z  * [new tag]                 ciflow/periodic/3e98831     -> ciflow/periodic/3e98831
2025-08-26T20:04:59.1496211Z  * [new tag]                 ciflow/periodic/94512-point -> ciflow/periodic/94512-point
2025-08-26T20:04:59.1497690Z  * [new tag]                 ciflow/periodic/bc7eaa0d8a1f5ca8ec0eaac461d1df500dcaea84 -> ciflow/periodic/bc7eaa0d8a1f5ca8ec0eaac461d1df500dcaea84
2025-08-26T20:04:59.1498450Z  * [new tag]                 ciflow/periodic/csl/test87519 -> ciflow/periodic/csl/test87519
2025-08-26T20:04:59.1499486Z  * [new tag]                 ciflow/periodic/csltest88275 -> ciflow/periodic/csltest88275
2025-08-26T20:04:59.1500255Z  * [new tag]                 ciflow/periodic/csltest88761 -> ciflow/periodic/csltest88761
2025-08-26T20:04:59.1501283Z  * [new tag]                 ciflow/periodic/release_1.12 -> ciflow/periodic/release_1.12
2025-08-26T20:04:59.1502288Z  * [new tag]                 ciflow/periodic/release_1.12.0 -> ciflow/periodic/release_1.12.0
2025-08-26T20:04:59.1503263Z  * [new tag]                 ciflow/periodic/sha-ec5b83  -> ciflow/periodic/sha-ec5b83
2025-08-26T20:04:59.1504045Z  * [new tag]                 ciflow/rocm-mi300/159158    -> ciflow/rocm-mi300/159158
2025-08-26T20:04:59.1504746Z  * [new tag]                 ciflow/rocm-mi300/161040    -> ciflow/rocm-mi300/161040
2025-08-26T20:04:59.1505489Z  * [new tag]                 ciflow/rocm-mi300/161180    -> ciflow/rocm-mi300/161180
2025-08-26T20:04:59.1506230Z  * [new tag]                 ciflow/rocm-mi300/161225    -> ciflow/rocm-mi300/161225
2025-08-26T20:04:59.1507017Z  * [new tag]                 ciflow/rocm-mi300/161429    -> ciflow/rocm-mi300/161429
2025-08-26T20:04:59.1508198Z  * [new tag]                 ciflow/rocm-mi355/160215    -> ciflow/rocm-mi355/160215
2025-08-26T20:04:59.1508948Z  * [new tag]                 ciflow/rocm/148492          -> ciflow/rocm/148492
2025-08-26T20:04:59.1509641Z  * [new tag]                 ciflow/rocm/151845          -> ciflow/rocm/151845
2025-08-26T20:04:59.1510687Z  * [new tag]                 ciflow/rocm/152526          -> ciflow/rocm/152526
2025-08-26T20:04:59.1511298Z  * [new tag]                 ciflow/rocm/156491          -> ciflow/rocm/156491
2025-08-26T20:04:59.1512062Z  * [new tag]                 ciflow/rocm/158352          -> ciflow/rocm/158352
2025-08-26T20:04:59.1512732Z  * [new tag]                 ciflow/rocm/159158          -> ciflow/rocm/159158
2025-08-26T20:04:59.1513436Z  * [new tag]                 ciflow/rocm/160215          -> ciflow/rocm/160215
2025-08-26T20:04:59.1514104Z  * [new tag]                 ciflow/rocm/160671          -> ciflow/rocm/160671
2025-08-26T20:04:59.1515152Z  * [new tag]                 ciflow/rocm/160676          -> ciflow/rocm/160676
2025-08-26T20:04:59.1515650Z  * [new tag]                 ciflow/rocm/161180          -> ciflow/rocm/161180
2025-08-26T20:04:59.1516384Z  * [new tag]                 ciflow/rocm/161225          -> ciflow/rocm/161225
2025-08-26T20:04:59.1517684Z  * [new tag]                 ciflow/rocm/161277          -> ciflow/rocm/161277
2025-08-26T20:04:59.1518700Z  * [new tag]                 ciflow/rocm/161429          -> ciflow/rocm/161429
2025-08-26T20:04:59.1519463Z  * [new tag]                 ciflow/rocm/161496          -> ciflow/rocm/161496
2025-08-26T20:04:59.1520585Z  * [new tag]                 ciflow/s390/160893          -> ciflow/s390/160893
2025-08-26T20:04:59.1521580Z  * [new tag]                 ciflow/slow/01c7106         -> ciflow/slow/01c7106
2025-08-26T20:04:59.1522385Z  * [new tag]                 ciflow/slow/0577043         -> ciflow/slow/0577043
2025-08-26T20:04:59.1524172Z  * [new tag]                 ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym -> ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym
2025-08-26T20:04:59.1524598Z  * [new tag]                 ciflow/slow/0e81104         -> ciflow/slow/0e81104
2025-08-26T20:04:59.1525439Z  * [new tag]                 ciflow/slow/161182          -> ciflow/slow/161182
2025-08-26T20:04:59.1526075Z  * [new tag]                 ciflow/slow/161395          -> ciflow/slow/161395
2025-08-26T20:04:59.1527015Z  * [new tag]                 ciflow/slow/1732077         -> ciflow/slow/1732077
2025-08-26T20:04:59.1528024Z  * [new tag]                 ciflow/slow/187eb7c         -> ciflow/slow/187eb7c
2025-08-26T20:04:59.1529166Z  * [new tag]                 ciflow/slow/1faef89         -> ciflow/slow/1faef89
2025-08-26T20:04:59.1530147Z  * [new tag]                 ciflow/slow/3920ec1         -> ciflow/slow/3920ec1
2025-08-26T20:04:59.1531264Z  * [new tag]                 ciflow/slow/3b7c6b2         -> ciflow/slow/3b7c6b2
2025-08-26T20:04:59.1532196Z  * [new tag]                 ciflow/slow/59a3759         -> ciflow/slow/59a3759
2025-08-26T20:04:59.1532910Z  * [new tag]                 ciflow/slow/70ef0bb         -> ciflow/slow/70ef0bb
2025-08-26T20:04:59.1533964Z  * [new tag]                 ciflow/slow/788ff06         -> ciflow/slow/788ff06
2025-08-26T20:04:59.1535589Z  * [new tag]                 ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym -> ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym
2025-08-26T20:04:59.1536141Z  * [new tag]                 ciflow/slow/9d85864         -> ciflow/slow/9d85864
2025-08-26T20:04:59.1537134Z  * [new tag]                 ciflow/slow/9ffad5b         -> ciflow/slow/9ffad5b
2025-08-26T20:04:59.1537931Z  * [new tag]                 ciflow/slow/a206e8b         -> ciflow/slow/a206e8b
2025-08-26T20:04:59.1538886Z  * [new tag]                 ciflow/slow/a837609         -> ciflow/slow/a837609
2025-08-26T20:04:59.1539839Z  * [new tag]                 ciflow/slow/af841f3         -> ciflow/slow/af841f3
2025-08-26T20:04:59.1541393Z  * [new tag]                 ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym -> ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym
2025-08-26T20:04:59.1541913Z  * [new tag]                 ciflow/torchbench/158137    -> ciflow/torchbench/158137
2025-08-26T20:04:59.1542754Z  * [new tag]                 ciflow/trunk/148492         -> ciflow/trunk/148492
2025-08-26T20:04:59.1543510Z  * [new tag]                 ciflow/trunk/151845         -> ciflow/trunk/151845
2025-08-26T20:04:59.1544194Z  * [new tag]                 ciflow/trunk/153784         -> ciflow/trunk/153784
2025-08-26T20:04:59.1544895Z  * [new tag]                 ciflow/trunk/154694         -> ciflow/trunk/154694
2025-08-26T20:04:59.1545919Z  * [new tag]                 ciflow/trunk/156418         -> ciflow/trunk/156418
2025-08-26T20:04:59.1546587Z  * [new tag]                 ciflow/trunk/157196         -> ciflow/trunk/157196
2025-08-26T20:04:59.1547495Z  * [new tag]                 ciflow/trunk/157537         -> ciflow/trunk/157537
2025-08-26T20:04:59.1548057Z  * [new tag]                 ciflow/trunk/157767         -> ciflow/trunk/157767
2025-08-26T20:04:59.1548773Z  * [new tag]                 ciflow/trunk/157944         -> ciflow/trunk/157944
2025-08-26T20:04:59.1549435Z  * [new tag]                 ciflow/trunk/158104         -> ciflow/trunk/158104
2025-08-26T20:04:59.1550129Z  * [new tag]                 ciflow/trunk/158541         -> ciflow/trunk/158541
2025-08-26T20:04:59.1551107Z  * [new tag]                 ciflow/trunk/158733         -> ciflow/trunk/158733
2025-08-26T20:04:59.1552215Z  * [new tag]                 ciflow/trunk/158747         -> ciflow/trunk/158747
2025-08-26T20:04:59.1553128Z  * [new tag]                 ciflow/trunk/159158         -> ciflow/trunk/159158
2025-08-26T20:04:59.1553811Z  * [new tag]                 ciflow/trunk/159387         -> ciflow/trunk/159387
2025-08-26T20:04:59.1554537Z  * [new tag]                 ciflow/trunk/159562         -> ciflow/trunk/159562
2025-08-26T20:04:59.1555235Z  * [new tag]                 ciflow/trunk/159786         -> ciflow/trunk/159786
2025-08-26T20:04:59.1555979Z  * [new tag]                 ciflow/trunk/159835         -> ciflow/trunk/159835
2025-08-26T20:04:59.1556691Z  * [new tag]                 ciflow/trunk/159889         -> ciflow/trunk/159889
2025-08-26T20:04:59.1557424Z  * [new tag]                 ciflow/trunk/159923         -> ciflow/trunk/159923
2025-08-26T20:04:59.1558118Z  * [new tag]                 ciflow/trunk/160156         -> ciflow/trunk/160156
2025-08-26T20:04:59.1558861Z  * [new tag]                 ciflow/trunk/160180         -> ciflow/trunk/160180
2025-08-26T20:04:59.1559547Z  * [new tag]                 ciflow/trunk/160198         -> ciflow/trunk/160198
2025-08-26T20:04:59.1560277Z  * [new tag]                 ciflow/trunk/160258         -> ciflow/trunk/160258
2025-08-26T20:04:59.1561004Z  * [new tag]                 ciflow/trunk/160431         -> ciflow/trunk/160431
2025-08-26T20:04:59.1561756Z  * [new tag]                 ciflow/trunk/160448         -> ciflow/trunk/160448
2025-08-26T20:04:59.1562717Z  * [new tag]                 ciflow/trunk/160449         -> ciflow/trunk/160449
2025-08-26T20:04:59.1563276Z  * [new tag]                 ciflow/trunk/160527         -> ciflow/trunk/160527
2025-08-26T20:04:59.1564041Z  * [new tag]                 ciflow/trunk/160532         -> ciflow/trunk/160532
2025-08-26T20:04:59.1564779Z  * [new tag]                 ciflow/trunk/160671         -> ciflow/trunk/160671
2025-08-26T20:04:59.1565496Z  * [new tag]                 ciflow/trunk/160677         -> ciflow/trunk/160677
2025-08-26T20:04:59.1566318Z  * [new tag]                 ciflow/trunk/160692         -> ciflow/trunk/160692
2025-08-26T20:04:59.1567043Z  * [new tag]                 ciflow/trunk/160781         -> ciflow/trunk/160781
2025-08-26T20:04:59.1567739Z  * [new tag]                 ciflow/trunk/160825         -> ciflow/trunk/160825
2025-08-26T20:04:59.1568467Z  * [new tag]                 ciflow/trunk/160836         -> ciflow/trunk/160836
2025-08-26T20:04:59.1569434Z  * [new tag]                 ciflow/trunk/160866         -> ciflow/trunk/160866
2025-08-26T20:04:59.1570295Z  * [new tag]                 ciflow/trunk/160915         -> ciflow/trunk/160915
2025-08-26T20:04:59.1571193Z  * [new tag]                 ciflow/trunk/160991         -> ciflow/trunk/160991
2025-08-26T20:04:59.1572002Z  * [new tag]                 ciflow/trunk/160992         -> ciflow/trunk/160992
2025-08-26T20:04:59.1572552Z  * [new tag]                 ciflow/trunk/161004         -> ciflow/trunk/161004
2025-08-26T20:04:59.1573264Z  * [new tag]                 ciflow/trunk/161016         -> ciflow/trunk/161016
2025-08-26T20:04:59.1574127Z  * [new tag]                 ciflow/trunk/161023         -> ciflow/trunk/161023
2025-08-26T20:04:59.1574838Z  * [new tag]                 ciflow/trunk/161026         -> ciflow/trunk/161026
2025-08-26T20:04:59.1575535Z  * [new tag]                 ciflow/trunk/161032         -> ciflow/trunk/161032
2025-08-26T20:04:59.1576364Z  * [new tag]                 ciflow/trunk/161035         -> ciflow/trunk/161035
2025-08-26T20:04:59.1577106Z  * [new tag]                 ciflow/trunk/161040         -> ciflow/trunk/161040
2025-08-26T20:04:59.1577922Z  * [new tag]                 ciflow/trunk/161094         -> ciflow/trunk/161094
2025-08-26T20:04:59.1578661Z  * [new tag]                 ciflow/trunk/161097         -> ciflow/trunk/161097
2025-08-26T20:04:59.1579386Z  * [new tag]                 ciflow/trunk/161098         -> ciflow/trunk/161098
2025-08-26T20:04:59.1580144Z  * [new tag]                 ciflow/trunk/161100         -> ciflow/trunk/161100
2025-08-26T20:04:59.1580826Z  * [new tag]                 ciflow/trunk/161106         -> ciflow/trunk/161106
2025-08-26T20:04:59.1581545Z  * [new tag]                 ciflow/trunk/161110         -> ciflow/trunk/161110
2025-08-26T20:04:59.1582386Z  * [new tag]                 ciflow/trunk/161114         -> ciflow/trunk/161114
2025-08-26T20:04:59.1583125Z  * [new tag]                 ciflow/trunk/161117         -> ciflow/trunk/161117
2025-08-26T20:04:59.1583810Z  * [new tag]                 ciflow/trunk/161123         -> ciflow/trunk/161123
2025-08-26T20:04:59.1584545Z  * [new tag]                 ciflow/trunk/161124         -> ciflow/trunk/161124
2025-08-26T20:04:59.1585356Z  * [new tag]                 ciflow/trunk/161126         -> ciflow/trunk/161126
2025-08-26T20:04:59.1586293Z  * [new tag]                 ciflow/trunk/161131         -> ciflow/trunk/161131
2025-08-26T20:04:59.1587291Z  * [new tag]                 ciflow/trunk/161143         -> ciflow/trunk/161143
2025-08-26T20:04:59.1588411Z  * [new tag]                 ciflow/trunk/161144         -> ciflow/trunk/161144
2025-08-26T20:04:59.1589121Z  * [new tag]                 ciflow/trunk/161164         -> ciflow/trunk/161164
2025-08-26T20:04:59.1589838Z  * [new tag]                 ciflow/trunk/161180         -> ciflow/trunk/161180
2025-08-26T20:04:59.1590537Z  * [new tag]                 ciflow/trunk/161214         -> ciflow/trunk/161214
2025-08-26T20:04:59.1591274Z  * [new tag]                 ciflow/trunk/161217         -> ciflow/trunk/161217
2025-08-26T20:04:59.1592018Z  * [new tag]                 ciflow/trunk/161225         -> ciflow/trunk/161225
2025-08-26T20:04:59.1592735Z  * [new tag]                 ciflow/trunk/161236         -> ciflow/trunk/161236
2025-08-26T20:04:59.1593489Z  * [new tag]                 ciflow/trunk/161237         -> ciflow/trunk/161237
2025-08-26T20:04:59.1594221Z  * [new tag]                 ciflow/trunk/161241         -> ciflow/trunk/161241
2025-08-26T20:04:59.1595042Z  * [new tag]                 ciflow/trunk/161262         -> ciflow/trunk/161262
2025-08-26T20:04:59.1596395Z  * [new tag]                 ciflow/trunk/161263         -> ciflow/trunk/161263
2025-08-26T20:04:59.1597070Z  * [new tag]                 ciflow/trunk/161279         -> ciflow/trunk/161279
2025-08-26T20:04:59.1598043Z  * [new tag]                 ciflow/trunk/161306         -> ciflow/trunk/161306
2025-08-26T20:04:59.1598694Z  * [new tag]                 ciflow/trunk/161311         -> ciflow/trunk/161311
2025-08-26T20:04:59.1599423Z  * [new tag]                 ciflow/trunk/161354         -> ciflow/trunk/161354
2025-08-26T20:04:59.1600124Z  * [new tag]                 ciflow/trunk/161355         -> ciflow/trunk/161355
2025-08-26T20:04:59.1600844Z  * [new tag]                 ciflow/trunk/161362         -> ciflow/trunk/161362
2025-08-26T20:04:59.1601635Z  * [new tag]                 ciflow/trunk/161363         -> ciflow/trunk/161363
2025-08-26T20:04:59.1602490Z  * [new tag]                 ciflow/trunk/161370         -> ciflow/trunk/161370
2025-08-26T20:04:59.1603171Z  * [new tag]                 ciflow/trunk/161383         -> ciflow/trunk/161383
2025-08-26T20:04:59.1603886Z  * [new tag]                 ciflow/trunk/161385         -> ciflow/trunk/161385
2025-08-26T20:04:59.1604923Z  * [new tag]                 ciflow/trunk/161389         -> ciflow/trunk/161389
2025-08-26T20:04:59.1605488Z  * [new tag]                 ciflow/trunk/161392         -> ciflow/trunk/161392
2025-08-26T20:04:59.1606225Z  * [new tag]                 ciflow/trunk/161395         -> ciflow/trunk/161395
2025-08-26T20:04:59.1606949Z  * [new tag]                 ciflow/trunk/161396         -> ciflow/trunk/161396
2025-08-26T20:04:59.1607678Z  * [new tag]                 ciflow/trunk/161409         -> ciflow/trunk/161409
2025-08-26T20:04:59.1608454Z  * [new tag]                 ciflow/trunk/161410         -> ciflow/trunk/161410
2025-08-26T20:04:59.1609140Z  * [new tag]                 ciflow/trunk/161435         -> ciflow/trunk/161435
2025-08-26T20:04:59.1610121Z  * [new tag]                 ciflow/trunk/161437         -> ciflow/trunk/161437
2025-08-26T20:04:59.1610906Z  * [new tag]                 ciflow/trunk/161451         -> ciflow/trunk/161451
2025-08-26T20:04:59.1611641Z  * [new tag]                 ciflow/trunk/161453         -> ciflow/trunk/161453
2025-08-26T20:04:59.1612614Z  * [new tag]                 ciflow/trunk/161454         -> ciflow/trunk/161454
2025-08-26T20:04:59.1613416Z  * [new tag]                 ciflow/trunk/161489         -> ciflow/trunk/161489
2025-08-26T20:04:59.1614384Z  * [new tag]                 ciflow/trunk/161517         -> ciflow/trunk/161517
2025-08-26T20:04:59.1615521Z  * [new tag]                 ciflow/unstable/123         -> ciflow/unstable/123
2025-08-26T20:04:59.1616372Z  * [new tag]                 ciflow/win-arm64/158104     -> ciflow/win-arm64/158104
2025-08-26T20:04:59.1617075Z  * [new tag]                 ciflow/win-arm64/159562     -> ciflow/win-arm64/159562
2025-08-26T20:04:59.1618217Z  * [new tag]                 ciflow/win-arm64/160258     -> ciflow/win-arm64/160258
2025-08-26T20:04:59.1619247Z  * [new tag]                 ciflow/win-arm64/161504     -> ciflow/win-arm64/161504
2025-08-26T20:04:59.1620099Z  * [new tag]                 ciflow/xpu/143553           -> ciflow/xpu/143553
2025-08-26T20:04:59.1620770Z  * [new tag]                 ciflow/xpu/158733           -> ciflow/xpu/158733
2025-08-26T20:04:59.1621445Z  * [new tag]                 ciflow/xpu/159473           -> ciflow/xpu/159473
2025-08-26T20:04:59.1622152Z  * [new tag]                 ciflow/xpu/159944           -> ciflow/xpu/159944
2025-08-26T20:04:59.1622822Z  * [new tag]                 ciflow/xpu/160067           -> ciflow/xpu/160067
2025-08-26T20:04:59.1623766Z  * [new tag]                 ciflow/xpu/160158           -> ciflow/xpu/160158
2025-08-26T20:04:59.1624498Z  * [new tag]                 ciflow/xpu/160940           -> ciflow/xpu/160940
2025-08-26T20:04:59.1625369Z  * [new tag]                 ciflow/xpu/161041           -> ciflow/xpu/161041
2025-08-26T20:04:59.1626178Z  * [new tag]                 ciflow/xpu/161045           -> ciflow/xpu/161045
2025-08-26T20:04:59.1626837Z  * [new tag]                 ciflow/xpu/161142           -> ciflow/xpu/161142
2025-08-26T20:04:59.1627820Z  * [new tag]                 ciflow/xpu/161152           -> ciflow/xpu/161152
2025-08-26T20:04:59.1628801Z  * [new tag]                 ciflow/xpu/161246           -> ciflow/xpu/161246
2025-08-26T20:04:59.1629665Z  * [new tag]                 ciflow/xpu/161389           -> ciflow/xpu/161389
2025-08-26T20:04:59.1630655Z  * [new tag]                 ciflow/xpu/161392           -> ciflow/xpu/161392
2025-08-26T20:04:59.1631282Z  * [new tag]                 ciflow/xpu/161397           -> ciflow/xpu/161397
2025-08-26T20:04:59.1631953Z  * [new tag]                 ciflow/xpu/161477           -> ciflow/xpu/161477
2025-08-26T20:04:59.1632740Z  * [new tag]                 ciflow/xpu/161489           -> ciflow/xpu/161489
2025-08-26T20:04:59.1633459Z  * [new tag]                 cslpull75                   -> cslpull75
2025-08-26T20:04:59.1634391Z  * [new tag]                 cslpull76                   -> cslpull76
2025-08-26T20:04:59.1635108Z  * [new tag]                 cslpull77                   -> cslpull77
2025-08-26T20:04:59.1635847Z  * [new tag]                 cslpull78                   -> cslpull78
2025-08-26T20:04:59.1637015Z  * [new tag]                 cslpull79                   -> cslpull79
2025-08-26T20:04:59.1638135Z  * [new tag]                 cslpull80                   -> cslpull80
2025-08-26T20:04:59.1639084Z  * [new tag]                 cslpull81                   -> cslpull81
2025-08-26T20:04:59.1639787Z  * [new tag]                 cslpull82                   -> cslpull82
2025-08-26T20:04:59.1640902Z  * [new tag]                 cslpull83                   -> cslpull83
2025-08-26T20:04:59.1641778Z  * [new tag]                 cslpull84                   -> cslpull84
2025-08-26T20:04:59.1642530Z  * [new tag]                 cslpull85                   -> cslpull85
2025-08-26T20:04:59.1643431Z  * [new tag]                 cslpull86                   -> cslpull86
2025-08-26T20:04:59.1644318Z  * [new tag]                 cslpull87                   -> cslpull87
2025-08-26T20:04:59.1645154Z  * [new tag]                 cslpull88                   -> cslpull88
2025-08-26T20:04:59.1645863Z  * [new tag]                 cslpull89                   -> cslpull89
2025-08-26T20:04:59.1646492Z  * [new tag]                 cslpull90                   -> cslpull90
2025-08-26T20:04:59.1647764Z  * [new tag]                 cslpull91                   -> cslpull91
2025-08-26T20:04:59.1648521Z  * [new tag]                 cslpull92                   -> cslpull92
2025-08-26T20:04:59.1649421Z  * [new tag]                 flight_5                    -> flight_5
2025-08-26T20:04:59.1650406Z  * [new tag]                 flight_5.1                  -> flight_5.1
2025-08-26T20:04:59.1651282Z  * [new tag]                 flight_5.2                  -> flight_5.2
2025-08-26T20:04:59.1651934Z  * [new tag]                 flight_5.3                  -> flight_5.3
2025-08-26T20:04:59.1652835Z  * [new tag]                 forpull1                    -> forpull1
2025-08-26T20:04:59.1653887Z  * [new tag]                 malfet/tag-2ef5611          -> malfet/tag-2ef5611
2025-08-26T20:04:59.1654761Z  * [new tag]                 malfet/tag-317b1a0          -> malfet/tag-317b1a0
2025-08-26T20:04:59.1655503Z  * [new tag]                 malfet/tag-ec6f767          -> malfet/tag-ec6f767
2025-08-26T20:04:59.1656499Z  * [new tag]                 nightly-binary              -> nightly-binary
2025-08-26T20:04:59.1657071Z  * [new tag]                 sqzhang_flight4_plus        -> sqzhang_flight4_plus
2025-08-26T20:04:59.1658085Z  * [new tag]                 sqzhang_flight_3            -> sqzhang_flight_3
2025-08-26T20:04:59.1659452Z  * [new tag]                 trunk/00efeabc295e072fb9d6e68b008a31fb04201fd1 -> trunk/00efeabc295e072fb9d6e68b008a31fb04201fd1
2025-08-26T20:04:59.1660281Z  * [new tag]                 trunk/037c43d3b24d4db733011cb904c385eaa6e11bcf -> trunk/037c43d3b24d4db733011cb904c385eaa6e11bcf
2025-08-26T20:04:59.1661429Z  * [new tag]                 trunk/0533ff2ccba7e77622ac3c6758f1032bdc10feff -> trunk/0533ff2ccba7e77622ac3c6758f1032bdc10feff
2025-08-26T20:04:59.1662548Z  * [new tag]                 trunk/05e8fac4f374c4dbf0cd0e85e925e9112cf234a2 -> trunk/05e8fac4f374c4dbf0cd0e85e925e9112cf234a2
2025-08-26T20:04:59.1663489Z  * [new tag]                 trunk/089ad1d88bf31ddab769a4f87750b474ed1214c8 -> trunk/089ad1d88bf31ddab769a4f87750b474ed1214c8
2025-08-26T20:04:59.1664439Z  * [new tag]                 trunk/0924304e728b9507a54eced28c812fbd5b13c397 -> trunk/0924304e728b9507a54eced28c812fbd5b13c397
2025-08-26T20:04:59.1665384Z  * [new tag]                 trunk/0a5ab612dd2b9fc5bb2e1281ec7ca8730c5c3c89 -> trunk/0a5ab612dd2b9fc5bb2e1281ec7ca8730c5c3c89
2025-08-26T20:04:59.1666346Z  * [new tag]                 trunk/0d19541284c38212235f78db24e3ac3ae4787e45 -> trunk/0d19541284c38212235f78db24e3ac3ae4787e45
2025-08-26T20:04:59.1667138Z  * [new tag]                 trunk/0d9da384ef76e3ce2e7eaf951252ae9edb922863 -> trunk/0d9da384ef76e3ce2e7eaf951252ae9edb922863
2025-08-26T20:04:59.1667881Z  * [new tag]                 trunk/0dea191ff7b844352dc2cd5e3b5ef5ea13a76756 -> trunk/0dea191ff7b844352dc2cd5e3b5ef5ea13a76756
2025-08-26T20:04:59.1668682Z  * [new tag]                 trunk/0f801a510f5f185543388717241adb7237c3d46a -> trunk/0f801a510f5f185543388717241adb7237c3d46a
2025-08-26T20:04:59.1670047Z  * [new tag]                 trunk/10e67f5ec3834da93fc2022caa7ac69cf97c01f0 -> trunk/10e67f5ec3834da93fc2022caa7ac69cf97c01f0
2025-08-26T20:04:59.1670876Z  * [new tag]                 trunk/1113e7de30da95973c1eac7921601f9a0e94f2db -> trunk/1113e7de30da95973c1eac7921601f9a0e94f2db
2025-08-26T20:04:59.1671769Z  * [new tag]                 trunk/117f11adb4b41a5485b570c4337c22ecc8e00aeb -> trunk/117f11adb4b41a5485b570c4337c22ecc8e00aeb
2025-08-26T20:04:59.1672644Z  * [new tag]                 trunk/1471b20cb3fc502931ef12b1420414e32facd5b0 -> trunk/1471b20cb3fc502931ef12b1420414e32facd5b0
2025-08-26T20:04:59.1673868Z  * [new tag]                 trunk/16e811e0b5073c7b42fe76f650ca2b79e339e053 -> trunk/16e811e0b5073c7b42fe76f650ca2b79e339e053
2025-08-26T20:04:59.1674691Z  * [new tag]                 trunk/17b0263e86aec8aed068bb8b6744b129233e8084 -> trunk/17b0263e86aec8aed068bb8b6744b129233e8084
2025-08-26T20:04:59.1675382Z  * [new tag]                 trunk/18271148d32da3d48897e9e7515de45066fce5bc -> trunk/18271148d32da3d48897e9e7515de45066fce5bc
2025-08-26T20:04:59.1676259Z  * [new tag]                 trunk/19c70c2f3dc345a6555318f5f8b46cd55c42d0b4 -> trunk/19c70c2f3dc345a6555318f5f8b46cd55c42d0b4
2025-08-26T20:04:59.1677068Z  * [new tag]                 trunk/1a566c4909ccf16ace1fbf1f65d90c995b362712 -> trunk/1a566c4909ccf16ace1fbf1f65d90c995b362712
2025-08-26T20:04:59.1677925Z  * [new tag]                 trunk/1d458e294755ff2bfa314c67ddc5cb1dacc2aee8 -> trunk/1d458e294755ff2bfa314c67ddc5cb1dacc2aee8
2025-08-26T20:04:59.1678726Z  * [new tag]                 trunk/1d46aa736fc8870dc88015c729a8c64470fa985c -> trunk/1d46aa736fc8870dc88015c729a8c64470fa985c
2025-08-26T20:04:59.1679666Z  * [new tag]                 trunk/1de4540449ad6b9df8f452ab72da30ce8908af60 -> trunk/1de4540449ad6b9df8f452ab72da30ce8908af60
2025-08-26T20:04:59.1680501Z  * [new tag]                 trunk/1e3fe78a104776cd708f150116348540346dae25 -> trunk/1e3fe78a104776cd708f150116348540346dae25
2025-08-26T20:04:59.1681393Z  * [new tag]                 trunk/1ea918caf990c84bcb4e4ee5eee90f1102815b0a -> trunk/1ea918caf990c84bcb4e4ee5eee90f1102815b0a
2025-08-26T20:04:59.1682225Z  * [new tag]                 trunk/1eccfb157ab9855b3f81872a23502fb15f455e0a -> trunk/1eccfb157ab9855b3f81872a23502fb15f455e0a
2025-08-26T20:04:59.1683087Z  * [new tag]                 trunk/1fbe230b0d82251c6de8b5ae86c4da456b1db05c -> trunk/1fbe230b0d82251c6de8b5ae86c4da456b1db05c
2025-08-26T20:04:59.1683986Z  * [new tag]                 trunk/209143ddeb99b0b075d16525088cee4893be7492 -> trunk/209143ddeb99b0b075d16525088cee4893be7492
2025-08-26T20:04:59.1684887Z  * [new tag]                 trunk/22df59efc0a845b3ff37019029efd07c5a25c456 -> trunk/22df59efc0a845b3ff37019029efd07c5a25c456
2025-08-26T20:04:59.1685709Z  * [new tag]                 trunk/23b033452fb1d4b404216279bbf5b6d06d8570c3 -> trunk/23b033452fb1d4b404216279bbf5b6d06d8570c3
2025-08-26T20:04:59.1686576Z  * [new tag]                 trunk/24e7f3c21c9452c81d72bbd4b0c6b1f96f33536a -> trunk/24e7f3c21c9452c81d72bbd4b0c6b1f96f33536a
2025-08-26T20:04:59.1687527Z  * [new tag]                 trunk/25df65afd8b5e2fffbcaf2b7ed63ef7a1e37ecb9 -> trunk/25df65afd8b5e2fffbcaf2b7ed63ef7a1e37ecb9
2025-08-26T20:04:59.1688360Z  * [new tag]                 trunk/262640fd220236042fbf4443cc163c8838c84c3d -> trunk/262640fd220236042fbf4443cc163c8838c84c3d
2025-08-26T20:04:59.1689309Z  * [new tag]                 trunk/266784ec6ae82f823abe406582e7a91f2ebb564a -> trunk/266784ec6ae82f823abe406582e7a91f2ebb564a
2025-08-26T20:04:59.1690025Z  * [new tag]                 trunk/2835cc5e91eda8cbc4ac59de2ca990fa17107409 -> trunk/2835cc5e91eda8cbc4ac59de2ca990fa17107409
2025-08-26T20:04:59.1690861Z  * [new tag]                 trunk/284b7190054686e68d9cc683b6ce43e45dd22338 -> trunk/284b7190054686e68d9cc683b6ce43e45dd22338
2025-08-26T20:04:59.1691683Z  * [new tag]                 trunk/29afde20203ee6773641b4e3552942a37315316f -> trunk/29afde20203ee6773641b4e3552942a37315316f
2025-08-26T20:04:59.1692629Z  * [new tag]                 trunk/2a7a7ad7116d930fde86cda02f668e624d26ec3e -> trunk/2a7a7ad7116d930fde86cda02f668e624d26ec3e
2025-08-26T20:04:59.1693609Z  * [new tag]                 trunk/2b62ef74208792c7c4bf923f872e54b5f384efc8 -> trunk/2b62ef74208792c7c4bf923f872e54b5f384efc8
2025-08-26T20:04:59.1694487Z  * [new tag]                 trunk/2beffb3311a41589021c121dac543994a7cbdff2 -> trunk/2beffb3311a41589021c121dac543994a7cbdff2
2025-08-26T20:04:59.1695329Z  * [new tag]                 trunk/2c0650a00a0a0dd2bbf25ed22780fdd881bcda54 -> trunk/2c0650a00a0a0dd2bbf25ed22780fdd881bcda54
2025-08-26T20:04:59.1696241Z  * [new tag]                 trunk/2cf69fe0e1bdb1413fe9e802c4b84d8958708421 -> trunk/2cf69fe0e1bdb1413fe9e802c4b84d8958708421
2025-08-26T20:04:59.1697094Z  * [new tag]                 trunk/2cf7ac2fb7ab4067e17cc5ca71034b1c61a4fb10 -> trunk/2cf7ac2fb7ab4067e17cc5ca71034b1c61a4fb10
2025-08-26T20:04:59.1697982Z  * [new tag]                 trunk/2f0cba934de7094a66c6ce68f5e937254f23142a -> trunk/2f0cba934de7094a66c6ce68f5e937254f23142a
2025-08-26T20:04:59.1698728Z  * [new tag]                 trunk/2f0de0ff9361ca4f2b1e6f9edbc600b5fb6abcd6 -> trunk/2f0de0ff9361ca4f2b1e6f9edbc600b5fb6abcd6
2025-08-26T20:04:59.1699564Z  * [new tag]                 trunk/2f50ae7d2022cb096c4156f5a207c291e36ddecf -> trunk/2f50ae7d2022cb096c4156f5a207c291e36ddecf
2025-08-26T20:04:59.1700434Z  * [new tag]                 trunk/2fdd4f918cdc5fc8070e4c9c0d87b9045d316c06 -> trunk/2fdd4f918cdc5fc8070e4c9c0d87b9045d316c06
2025-08-26T20:04:59.1701310Z  * [new tag]                 trunk/30384abcb1d181e774c0ac21b580aa34336a96c6 -> trunk/30384abcb1d181e774c0ac21b580aa34336a96c6
2025-08-26T20:04:59.1702424Z  * [new tag]                 trunk/31a41daff49f2cde941d8b9e35cb2eaeeb606c0d -> trunk/31a41daff49f2cde941d8b9e35cb2eaeeb606c0d
2025-08-26T20:04:59.1703290Z  * [new tag]                 trunk/332fa5b388521c05a19217649745c6edfdc2836d -> trunk/332fa5b388521c05a19217649745c6edfdc2836d
2025-08-26T20:04:59.1704438Z  * [new tag]                 trunk/33346b58148c55592994a43385c321ae8c8808f2 -> trunk/33346b58148c55592994a43385c321ae8c8808f2
2025-08-26T20:04:59.1705257Z  * [new tag]                 trunk/3373b074f5ea5277974fa6e945544fdfb16bb446 -> trunk/3373b074f5ea5277974fa6e945544fdfb16bb446
2025-08-26T20:04:59.1706204Z  * [new tag]                 trunk/33c3794533844236a6e30ba377e0a6802b279fc8 -> trunk/33c3794533844236a6e30ba377e0a6802b279fc8
2025-08-26T20:04:59.1707081Z  * [new tag]                 trunk/35e4d97e047bff8b38fee1dcf6ef6503f0fc9208 -> trunk/35e4d97e047bff8b38fee1dcf6ef6503f0fc9208
2025-08-26T20:04:59.1708015Z  * [new tag]                 trunk/36ac916929ca67b533cc45932970297e9824324e -> trunk/36ac916929ca67b533cc45932970297e9824324e
2025-08-26T20:04:59.1708862Z  * [new tag]                 trunk/371909cfd10e0da1bab1e12fb54a2403c37c5f76 -> trunk/371909cfd10e0da1bab1e12fb54a2403c37c5f76
2025-08-26T20:04:59.1709707Z  * [new tag]                 trunk/373e25c2eb9f882356a9c7a2f18020935ff1d78b -> trunk/373e25c2eb9f882356a9c7a2f18020935ff1d78b
2025-08-26T20:04:59.1710549Z  * [new tag]                 trunk/37a34022b59a6ff2757e5cec0fdc72278418f339 -> trunk/37a34022b59a6ff2757e5cec0fdc72278418f339
2025-08-26T20:04:59.1711410Z  * [new tag]                 trunk/38a492d40d7ebb2856cb120df337c6cdac244528 -> trunk/38a492d40d7ebb2856cb120df337c6cdac244528
2025-08-26T20:04:59.1712357Z  * [new tag]                 trunk/394728bab2de21e8002fc6a47aa4d3acb2d7a728 -> trunk/394728bab2de21e8002fc6a47aa4d3acb2d7a728
2025-08-26T20:04:59.1713226Z  * [new tag]                 trunk/39862acb2e320783245d2a03acfd1b14cae28038 -> trunk/39862acb2e320783245d2a03acfd1b14cae28038
2025-08-26T20:04:59.1714180Z  * [new tag]                 trunk/3a4140bf8e783db3f0094d2a2ce1d8534066432f -> trunk/3a4140bf8e783db3f0094d2a2ce1d8534066432f
2025-08-26T20:04:59.1715048Z  * [new tag]                 trunk/3caddd4daa5b1a167663c07219e065e86247ad76 -> trunk/3caddd4daa5b1a167663c07219e065e86247ad76
2025-08-26T20:04:59.1715896Z  * [new tag]                 trunk/3dacaf0e1eb3286e70bf8d572000ecebf2c1f4c9 -> trunk/3dacaf0e1eb3286e70bf8d572000ecebf2c1f4c9
2025-08-26T20:04:59.1716759Z  * [new tag]                 trunk/3e210f90c2cbd5817aa23d430da10cad200a3ffa -> trunk/3e210f90c2cbd5817aa23d430da10cad200a3ffa
2025-08-26T20:04:59.1717519Z  * [new tag]                 trunk/3e3e83418d0f6b1495f79380f3a3dbc8b2d23062 -> trunk/3e3e83418d0f6b1495f79380f3a3dbc8b2d23062
2025-08-26T20:04:59.1718191Z  * [new tag]                 trunk/3e5b021f217a42ae55dc690083f67a28126808ed -> trunk/3e5b021f217a42ae55dc690083f67a28126808ed
2025-08-26T20:04:59.1719029Z  * [new tag]                 trunk/3ea6cc8c2d443d6104159d50e8328c144f6caa39 -> trunk/3ea6cc8c2d443d6104159d50e8328c144f6caa39
2025-08-26T20:04:59.1719921Z  * [new tag]                 trunk/3f1a97a99cad4cc682b20b43c1178ed9e1b81f24 -> trunk/3f1a97a99cad4cc682b20b43c1178ed9e1b81f24
2025-08-26T20:04:59.1720865Z  * [new tag]                 trunk/3f5a8e2003f2234ca8be19fdc307ba7b995f9be3 -> trunk/3f5a8e2003f2234ca8be19fdc307ba7b995f9be3
2025-08-26T20:04:59.1721772Z  * [new tag]                 trunk/40c0e700a488191cd8f541b30d8e3b9f2c0bc759 -> trunk/40c0e700a488191cd8f541b30d8e3b9f2c0bc759
2025-08-26T20:04:59.1722637Z  * [new tag]                 trunk/419a2dbf5f69cee52382090200b532a81da92c69 -> trunk/419a2dbf5f69cee52382090200b532a81da92c69
2025-08-26T20:04:59.1723535Z  * [new tag]                 trunk/431846a6323c6f1d02da49e311ac694324f386f4 -> trunk/431846a6323c6f1d02da49e311ac694324f386f4
2025-08-26T20:04:59.1724421Z  * [new tag]                 trunk/44549c7146bd6c4166f97e856037babe1b7f4f49 -> trunk/44549c7146bd6c4166f97e856037babe1b7f4f49
2025-08-26T20:04:59.1725291Z  * [new tag]                 trunk/447d34b5f80fb7350f79decd855cb599cab39083 -> trunk/447d34b5f80fb7350f79decd855cb599cab39083
2025-08-26T20:04:59.1726636Z  * [new tag]                 trunk/46429be72323c1807a785234164bd91011f68d08 -> trunk/46429be72323c1807a785234164bd91011f68d08
2025-08-26T20:04:59.1727280Z  * [new tag]                 trunk/4651aaac47ff855e08a74e2fdbfa605bc53afba8 -> trunk/4651aaac47ff855e08a74e2fdbfa605bc53afba8
2025-08-26T20:04:59.1728163Z  * [new tag]                 trunk/46576f5a164fcf95ec7fceaa13516bcb1ca4f6ab -> trunk/46576f5a164fcf95ec7fceaa13516bcb1ca4f6ab
2025-08-26T20:04:59.1729038Z  * [new tag]                 trunk/47d267364cad407b5612bf4a5faa160d2f4a7121 -> trunk/47d267364cad407b5612bf4a5faa160d2f4a7121
2025-08-26T20:04:59.1729944Z  * [new tag]                 trunk/49ff884b1edc3b872eeb2387ec60ef230cae7f24 -> trunk/49ff884b1edc3b872eeb2387ec60ef230cae7f24
2025-08-26T20:04:59.1730810Z  * [new tag]                 trunk/4a1aca11c20cfa29a1513b9f289d75bfe32d05d4 -> trunk/4a1aca11c20cfa29a1513b9f289d75bfe32d05d4
2025-08-26T20:04:59.1731688Z  * [new tag]                 trunk/4acdbb8311f760513556e2e4fdd7bfd88c225e52 -> trunk/4acdbb8311f760513556e2e4fdd7bfd88c225e52
2025-08-26T20:04:59.1732495Z  * [new tag]                 trunk/4c36c8a99463c898190a462300ba7f05b5b3384e -> trunk/4c36c8a99463c898190a462300ba7f05b5b3384e
2025-08-26T20:04:59.1733379Z  * [new tag]                 trunk/4e19c1906a830714c1d9d71361357ce616a034d6 -> trunk/4e19c1906a830714c1d9d71361357ce616a034d6
2025-08-26T20:04:59.1734266Z  * [new tag]                 trunk/4ed3184dee1bf4f775839bfd1448a7a34fe5a898 -> trunk/4ed3184dee1bf4f775839bfd1448a7a34fe5a898
2025-08-26T20:04:59.1735131Z  * [new tag]                 trunk/50cfe76231768ee2c784f68a1eba03369f386019 -> trunk/50cfe76231768ee2c784f68a1eba03369f386019
2025-08-26T20:04:59.1736024Z  * [new tag]                 trunk/510825e5fed8b56eb5e9352c12f0df1feeadb810 -> trunk/510825e5fed8b56eb5e9352c12f0df1feeadb810
2025-08-26T20:04:59.1736856Z  * [new tag]                 trunk/512fc768e94c937df350911aaa4ebce757d1f9df -> trunk/512fc768e94c937df350911aaa4ebce757d1f9df
2025-08-26T20:04:59.1738146Z  * [new tag]                 trunk/517d38d3406abbba35d0694bff259a698cad3ec9 -> trunk/517d38d3406abbba35d0694bff259a698cad3ec9
2025-08-26T20:04:59.1739026Z  * [new tag]                 trunk/5255e65c01bf48bbcd916ecf16ed81cf28d3c6e2 -> trunk/5255e65c01bf48bbcd916ecf16ed81cf28d3c6e2
2025-08-26T20:04:59.1739869Z  * [new tag]                 trunk/543896fcf3312f2053018edf9ee74c0fbb1d28ed -> trunk/543896fcf3312f2053018edf9ee74c0fbb1d28ed
2025-08-26T20:04:59.1740878Z  * [new tag]                 trunk/54c2b66592d168e4a7525f7a58f8ca020517a9cb -> trunk/54c2b66592d168e4a7525f7a58f8ca020517a9cb
2025-08-26T20:04:59.1741702Z  * [new tag]                 trunk/54cc63b467f24242cf0d6538d3e1df39e553daf1 -> trunk/54cc63b467f24242cf0d6538d3e1df39e553daf1
2025-08-26T20:04:59.1742601Z  * [new tag]                 trunk/56ebed627a23eea36190e1ced5024a18ffcedbd7 -> trunk/56ebed627a23eea36190e1ced5024a18ffcedbd7
2025-08-26T20:04:59.1743545Z  * [new tag]                 trunk/576a0e64ed2470abd2c430205d1984a11951ce05 -> trunk/576a0e64ed2470abd2c430205d1984a11951ce05
2025-08-26T20:04:59.1744373Z  * [new tag]                 trunk/5805c4210b477f0a7315d6038078dc4a8be1c8fa -> trunk/5805c4210b477f0a7315d6038078dc4a8be1c8fa
2025-08-26T20:04:59.1745261Z  * [new tag]                 trunk/58f9a3dd6391397e439c5f5075837e8f983735aa -> trunk/58f9a3dd6391397e439c5f5075837e8f983735aa
2025-08-26T20:04:59.1746244Z  * [new tag]                 trunk/595987d28d4c8aee68de83734af919c7710ad58b -> trunk/595987d28d4c8aee68de83734af919c7710ad58b
2025-08-26T20:04:59.1747181Z  * [new tag]                 trunk/599f639ddb8bb45abb2dc305542f38288427183d -> trunk/599f639ddb8bb45abb2dc305542f38288427183d
2025-08-26T20:04:59.1748265Z  * [new tag]                 trunk/5afa4187dfe1e99278f8e372ec09102d5b937572 -> trunk/5afa4187dfe1e99278f8e372ec09102d5b937572
2025-08-26T20:04:59.1749048Z  * [new tag]                 trunk/5d9653d90ee003173dd03f93e09fed236500ef06 -> trunk/5d9653d90ee003173dd03f93e09fed236500ef06
2025-08-26T20:04:59.1749940Z  * [new tag]                 trunk/5dad5b4f57ade4001c0f421dbdad2e418304870e -> trunk/5dad5b4f57ade4001c0f421dbdad2e418304870e
2025-08-26T20:04:59.1750932Z  * [new tag]                 trunk/5ee464db5c4293ac09521f9069fa7d2106680a7f -> trunk/5ee464db5c4293ac09521f9069fa7d2106680a7f
2025-08-26T20:04:59.1751782Z  * [new tag]                 trunk/6096d277c543f5dd40351431ef9a8d556134c74d -> trunk/6096d277c543f5dd40351431ef9a8d556134c74d
2025-08-26T20:04:59.1752664Z  * [new tag]                 trunk/62db8ec39116544ae247f876b3e06753178db49b -> trunk/62db8ec39116544ae247f876b3e06753178db49b
2025-08-26T20:04:59.1753501Z  * [new tag]                 trunk/639b8cc51ddebf10361f3840a6b0a244eb6092a1 -> trunk/639b8cc51ddebf10361f3840a6b0a244eb6092a1
2025-08-26T20:04:59.1754353Z  * [new tag]                 trunk/6443ea337df843681bc558d99efa84a3e5559b7f -> trunk/6443ea337df843681bc558d99efa84a3e5559b7f
2025-08-26T20:04:59.1755289Z  * [new tag]                 trunk/6598f00c18dfcc4fc50427305b6b5724e617246f -> trunk/6598f00c18dfcc4fc50427305b6b5724e617246f
2025-08-26T20:04:59.1756134Z  * [new tag]                 trunk/65d21dae18a34e8bd1b2f0e5aec7144b9dd33611 -> trunk/65d21dae18a34e8bd1b2f0e5aec7144b9dd33611
2025-08-26T20:04:59.1756976Z  * [new tag]                 trunk/660b5656a436dcccb0275ea5421d3eb4f1157b43 -> trunk/660b5656a436dcccb0275ea5421d3eb4f1157b43
2025-08-26T20:04:59.1757928Z  * [new tag]                 trunk/66166cf1e7696bf25f6f7bb815a93df367db48dc -> trunk/66166cf1e7696bf25f6f7bb815a93df367db48dc
2025-08-26T20:04:59.1758823Z  * [new tag]                 trunk/667245dc60242a35ae0a6b0072628eb8e15a6d03 -> trunk/667245dc60242a35ae0a6b0072628eb8e15a6d03
2025-08-26T20:04:59.1759751Z  * [new tag]                 trunk/67b98da1b262317f9c0375d64a4b467c82712548 -> trunk/67b98da1b262317f9c0375d64a4b467c82712548
2025-08-26T20:04:59.1760549Z  * [new tag]                 trunk/67d31f6b281d3b15b205756fc7ebc450cdde1dab -> trunk/67d31f6b281d3b15b205756fc7ebc450cdde1dab
2025-08-26T20:04:59.1761458Z  * [new tag]                 trunk/67fc16c7447f4fc04e7d28bfe201a4a0c78f3ea4 -> trunk/67fc16c7447f4fc04e7d28bfe201a4a0c78f3ea4
2025-08-26T20:04:59.1762337Z  * [new tag]                 trunk/6aef9f3a6906c011a57541c1de7a246222bc9ac9 -> trunk/6aef9f3a6906c011a57541c1de7a246222bc9ac9
2025-08-26T20:04:59.1763113Z  * [new tag]                 trunk/6ea4be1e2eca952ea66090182bd2eede89799a45 -> trunk/6ea4be1e2eca952ea66090182bd2eede89799a45
2025-08-26T20:04:59.1764012Z  * [new tag]                 trunk/7006fd0c8874cb0228d3f2bfd83a989bde4b7021 -> trunk/7006fd0c8874cb0228d3f2bfd83a989bde4b7021
2025-08-26T20:04:59.1764886Z  * [new tag]                 trunk/710514a2a51facaba445d2c188541d778f9fdb59 -> trunk/710514a2a51facaba445d2c188541d778f9fdb59
2025-08-26T20:04:59.1768500Z  * [new tag]                 trunk/7131bfab89c46ffe31b61ea4937a8727e9cf33c1 -> trunk/7131bfab89c46ffe31b61ea4937a8727e9cf33c1
2025-08-26T20:04:59.1768928Z  * [new tag]                 trunk/726dce3c944cbda16e54d3b15cdb4b6ced05af72 -> trunk/726dce3c944cbda16e54d3b15cdb4b6ced05af72
2025-08-26T20:04:59.1769324Z  * [new tag]                 trunk/72e4786d1635681b8d053d0168c7d16b980e5124 -> trunk/72e4786d1635681b8d053d0168c7d16b980e5124
2025-08-26T20:04:59.1769697Z  * [new tag]                 trunk/7376111d59f3170c2814d565c09d09435189692a -> trunk/7376111d59f3170c2814d565c09d09435189692a
2025-08-26T20:04:59.1770126Z  * [new tag]                 trunk/74124d1b46774f2a73aa1aadc2b0874cb523b1c1 -> trunk/74124d1b46774f2a73aa1aadc2b0874cb523b1c1
2025-08-26T20:04:59.1771511Z  * [new tag]                 trunk/74280d091321343b47a2975e17584b973d7c22c4 -> trunk/74280d091321343b47a2975e17584b973d7c22c4
2025-08-26T20:04:59.1772440Z  * [new tag]                 trunk/74c4c758afa8c28162f00a456c185552e1159fd3 -> trunk/74c4c758afa8c28162f00a456c185552e1159fd3
2025-08-26T20:04:59.1773746Z  * [new tag]                 trunk/763053dc536341997641e920d8887b3010901b3b -> trunk/763053dc536341997641e920d8887b3010901b3b
2025-08-26T20:04:59.1774959Z  * [new tag]                 trunk/774b4befa18741b3115802cae71000168a40c384 -> trunk/774b4befa18741b3115802cae71000168a40c384
2025-08-26T20:04:59.1776153Z  * [new tag]                 trunk/77bc959fe122bfd131e339ca36cab445a1860806 -> trunk/77bc959fe122bfd131e339ca36cab445a1860806
2025-08-26T20:04:59.1777405Z  * [new tag]                 trunk/78a8e6a671c5631bc0e89b0e674790a424540547 -> trunk/78a8e6a671c5631bc0e89b0e674790a424540547
2025-08-26T20:04:59.1778626Z  * [new tag]                 trunk/7e4bfa74eafab994b01f8b5501d4d061cbf64808 -> trunk/7e4bfa74eafab994b01f8b5501d4d061cbf64808
2025-08-26T20:04:59.1779780Z  * [new tag]                 trunk/7e6ce41555d595e3fa0d91059491f21cee3eb5ea -> trunk/7e6ce41555d595e3fa0d91059491f21cee3eb5ea
2025-08-26T20:04:59.1780977Z  * [new tag]                 trunk/7f201baf414301b3312576893b7f6f2698acd9ba -> trunk/7f201baf414301b3312576893b7f6f2698acd9ba
2025-08-26T20:04:59.1782257Z  * [new tag]                 trunk/7fcdd8d6afeda6a4c8630816e12bf7cca44b8f8a -> trunk/7fcdd8d6afeda6a4c8630816e12bf7cca44b8f8a
2025-08-26T20:04:59.1783647Z  * [new tag]                 trunk/801851086d09506d081800108c9e214edb3f5b7d -> trunk/801851086d09506d081800108c9e214edb3f5b7d
2025-08-26T20:04:59.1784894Z  * [new tag]                 trunk/8047cde0f3a27f3afa218792b8464d5e0c9d942f -> trunk/8047cde0f3a27f3afa218792b8464d5e0c9d942f
2025-08-26T20:04:59.1786209Z  * [new tag]                 trunk/80df27a612be3433516d7e6dfc8d8be058425d3e -> trunk/80df27a612be3433516d7e6dfc8d8be058425d3e
2025-08-26T20:04:59.1787403Z  * [new tag]                 trunk/818ba434c7de4cd604184b2857d544e0ad95735f -> trunk/818ba434c7de4cd604184b2857d544e0ad95735f
2025-08-26T20:04:59.1788575Z  * [new tag]                 trunk/83283ce7f5a7847b4e561e22be9b0f4530b05527 -> trunk/83283ce7f5a7847b4e561e22be9b0f4530b05527
2025-08-26T20:04:59.1790290Z  * [new tag]                 trunk/85adf80cf15538a7e010fa235036fe8e06f8bede -> trunk/85adf80cf15538a7e010fa235036fe8e06f8bede
2025-08-26T20:04:59.1791524Z  * [new tag]                 trunk/8aad3a60ce16a4acab17a8e46e5df339db2ff740 -> trunk/8aad3a60ce16a4acab17a8e46e5df339db2ff740
2025-08-26T20:04:59.1792839Z  * [new tag]                 trunk/8c442e4fd3310e15f57770944f883ac1d73e77e2 -> trunk/8c442e4fd3310e15f57770944f883ac1d73e77e2
2025-08-26T20:04:59.1794313Z  * [new tag]                 trunk/8c506e6310b9b5295151fb725be479d0f80ce5e8 -> trunk/8c506e6310b9b5295151fb725be479d0f80ce5e8
2025-08-26T20:04:59.1795552Z  * [new tag]                 trunk/8cfc119491f533c4edded4263a78eb0af782a2d5 -> trunk/8cfc119491f533c4edded4263a78eb0af782a2d5
2025-08-26T20:04:59.1796844Z  * [new tag]                 trunk/8dbe7f99bd707ee28ae12ecb9cab54e1785bf13e -> trunk/8dbe7f99bd707ee28ae12ecb9cab54e1785bf13e
2025-08-26T20:04:59.1798008Z  * [new tag]                 trunk/8e1770905565cd67d6c3a91c7afa462f4ef6e6aa -> trunk/8e1770905565cd67d6c3a91c7afa462f4ef6e6aa
2025-08-26T20:04:59.1799196Z  * [new tag]                 trunk/8f31aa97a3e1e17bed29b6cedf9884f0c6b145e9 -> trunk/8f31aa97a3e1e17bed29b6cedf9884f0c6b145e9
2025-08-26T20:04:59.1800504Z  * [new tag]                 trunk/8f766d68397736053883aa281cae0eb46bb233bb -> trunk/8f766d68397736053883aa281cae0eb46bb233bb
2025-08-26T20:04:59.1801719Z  * [new tag]                 trunk/908b0ccb1f70ed2cfa830484e05ee32af13b1836 -> trunk/908b0ccb1f70ed2cfa830484e05ee32af13b1836
2025-08-26T20:04:59.1802957Z  * [new tag]                 trunk/90ea9ccefe3e2d9a9e4840016d1af10c1814d48b -> trunk/90ea9ccefe3e2d9a9e4840016d1af10c1814d48b
2025-08-26T20:04:59.1804180Z  * [new tag]                 trunk/9225c6199412f8a2ee99b7c29f533fb98b9ff62e -> trunk/9225c6199412f8a2ee99b7c29f533fb98b9ff62e
2025-08-26T20:04:59.1805417Z  * [new tag]                 trunk/923bc46122d173a7964c646311a3bea3cd8dd561 -> trunk/923bc46122d173a7964c646311a3bea3cd8dd561
2025-08-26T20:04:59.1806673Z  * [new tag]                 trunk/92ab18482459a63e97f1374e27e8411964da9762 -> trunk/92ab18482459a63e97f1374e27e8411964da9762
2025-08-26T20:04:59.1807915Z  * [new tag]                 trunk/94b9569c4a86e12b944ca66e3125357a14d0eb9e -> trunk/94b9569c4a86e12b944ca66e3125357a14d0eb9e
2025-08-26T20:04:59.1809331Z  * [new tag]                 trunk/957b170d8efe2a51147e0cdb7515acc345ba81da -> trunk/957b170d8efe2a51147e0cdb7515acc345ba81da
2025-08-26T20:04:59.1810509Z  * [new tag]                 trunk/958f9ca88e9a1580de7c94a5a2ca8a750b1335ae -> trunk/958f9ca88e9a1580de7c94a5a2ca8a750b1335ae
2025-08-26T20:04:59.1811444Z  * [new tag]                 trunk/96682103026b5ea27f19e6db9303e17572095b0e -> trunk/96682103026b5ea27f19e6db9303e17572095b0e
2025-08-26T20:04:59.1812809Z  * [new tag]                 trunk/97200c971110d54030feaad999698c7341f8acc7 -> trunk/97200c971110d54030feaad999698c7341f8acc7
2025-08-26T20:04:59.1814028Z  * [new tag]                 trunk/981ac533c6e69a77538aaa7a9747c3d840dfa8be -> trunk/981ac533c6e69a77538aaa7a9747c3d840dfa8be
2025-08-26T20:04:59.1815232Z  * [new tag]                 trunk/995397d47a0e27394ee1010f158e181eb304100a -> trunk/995397d47a0e27394ee1010f158e181eb304100a
2025-08-26T20:04:59.1816572Z  * [new tag]                 trunk/9a41570199155eee92ebd28452a556075e34e1b4 -> trunk/9a41570199155eee92ebd28452a556075e34e1b4
2025-08-26T20:04:59.1817836Z  * [new tag]                 trunk/9b3ebd25acfd2ff4e9b7428079ba364d6f8a14da -> trunk/9b3ebd25acfd2ff4e9b7428079ba364d6f8a14da
2025-08-26T20:04:59.1819041Z  * [new tag]                 trunk/9b4adc4db7494dbc4dbbac5dd85ccbf5babaef44 -> trunk/9b4adc4db7494dbc4dbbac5dd85ccbf5babaef44
2025-08-26T20:04:59.1820660Z  * [new tag]                 trunk/9d18bf01b1661d227f6af41ac07a1e9ef20a9e1a -> trunk/9d18bf01b1661d227f6af41ac07a1e9ef20a9e1a
2025-08-26T20:04:59.1821958Z  * [new tag]                 trunk/9d7cecdd6c44c5421d341bcc359be4097ea9a2f5 -> trunk/9d7cecdd6c44c5421d341bcc359be4097ea9a2f5
2025-08-26T20:04:59.1823344Z  * [new tag]                 trunk/9d882fd9ffc6ad2a292fee548740aabfea745002 -> trunk/9d882fd9ffc6ad2a292fee548740aabfea745002
2025-08-26T20:04:59.1824515Z  * [new tag]                 trunk/9d9cc9897ac44a1a8df38211b03d8342a8af48c3 -> trunk/9d9cc9897ac44a1a8df38211b03d8342a8af48c3
2025-08-26T20:04:59.1825783Z  * [new tag]                 trunk/9e1c9541344b2aa1c946edb779d275072f3b8f4a -> trunk/9e1c9541344b2aa1c946edb779d275072f3b8f4a
2025-08-26T20:04:59.1827008Z  * [new tag]                 trunk/9e491f753ee521a70e6a7e7dbb36f96c9350f5ea -> trunk/9e491f753ee521a70e6a7e7dbb36f96c9350f5ea
2025-08-26T20:04:59.1828274Z  * [new tag]                 trunk/a03cc53e6f6e2fe67316cb8c74c25f5b953f445b -> trunk/a03cc53e6f6e2fe67316cb8c74c25f5b953f445b
2025-08-26T20:04:59.1829418Z  * [new tag]                 trunk/a154c2093c0f2646346f032e1f30012779b3c51d -> trunk/a154c2093c0f2646346f032e1f30012779b3c51d
2025-08-26T20:04:59.1830722Z  * [new tag]                 trunk/a391fa1c42dd32e32a2e5b1cb196bac56daaca88 -> trunk/a391fa1c42dd32e32a2e5b1cb196bac56daaca88
2025-08-26T20:04:59.1832254Z  * [new tag]                 trunk/a3a82e3da85a53afc4bbf3d75bd3d3dcc2e06645 -> trunk/a3a82e3da85a53afc4bbf3d75bd3d3dcc2e06645
2025-08-26T20:04:59.1833512Z  * [new tag]                 trunk/a3fe1ced409d186628ff2975f05ba529a86fae84 -> trunk/a3fe1ced409d186628ff2975f05ba529a86fae84
2025-08-26T20:04:59.1834712Z  * [new tag]                 trunk/a43480d19cdd68e544163b1a07c328a9c54723b8 -> trunk/a43480d19cdd68e544163b1a07c328a9c54723b8
2025-08-26T20:04:59.1835930Z  * [new tag]                 trunk/a445b41e4f11daa82a53a21ec413c15d5079ae77 -> trunk/a445b41e4f11daa82a53a21ec413c15d5079ae77
2025-08-26T20:04:59.1837167Z  * [new tag]                 trunk/a44a0d3671b4ccf2fe915896a8a5204fe79b1e7b -> trunk/a44a0d3671b4ccf2fe915896a8a5204fe79b1e7b
2025-08-26T20:04:59.1838397Z  * [new tag]                 trunk/a6401cb5aa51622045c3f9a03b2cebef236e4182 -> trunk/a6401cb5aa51622045c3f9a03b2cebef236e4182
2025-08-26T20:04:59.1839564Z  * [new tag]                 trunk/a68f63e33161b4665e0f4c399bf8072135a35a57 -> trunk/a68f63e33161b4665e0f4c399bf8072135a35a57
2025-08-26T20:04:59.1840619Z  * [new tag]                 trunk/a72803f1e3c69c780b7d7bcdd9b35360fd98148b -> trunk/a72803f1e3c69c780b7d7bcdd9b35360fd98148b
2025-08-26T20:04:59.1842045Z  * [new tag]                 trunk/a7b5955ea8851d73e35f50a0de5bb0626bae24cb -> trunk/a7b5955ea8851d73e35f50a0de5bb0626bae24cb
2025-08-26T20:04:59.1843251Z  * [new tag]                 trunk/a818fa77e3a72271f144514ef349c5a666313205 -> trunk/a818fa77e3a72271f144514ef349c5a666313205
2025-08-26T20:04:59.1844646Z  * [new tag]                 trunk/a825557ed53507e85ac613862311a81eb88710a4 -> trunk/a825557ed53507e85ac613862311a81eb88710a4
2025-08-26T20:04:59.1845523Z  * [new tag]                 trunk/a85711d565f37b0095af9f7dafa77f392c9aa31e -> trunk/a85711d565f37b0095af9f7dafa77f392c9aa31e
2025-08-26T20:04:59.1846968Z  * [new tag]                 trunk/a941d7ffe54b5f256c1fbd3959ddbf608b7eea88 -> trunk/a941d7ffe54b5f256c1fbd3959ddbf608b7eea88
2025-08-26T20:04:59.1848189Z  * [new tag]                 trunk/a9fabeb012a4b804836a2b8d4b3742b92c9a6b58 -> trunk/a9fabeb012a4b804836a2b8d4b3742b92c9a6b58
2025-08-26T20:04:59.1849393Z  * [new tag]                 trunk/ab7787fb82dd777b2f777ef58bc20dbb7bd8289b -> trunk/ab7787fb82dd777b2f777ef58bc20dbb7bd8289b
2025-08-26T20:04:59.1850485Z  * [new tag]                 trunk/ab8d60f4c86ca19ed00d6e79ae8e6939266f28e6 -> trunk/ab8d60f4c86ca19ed00d6e79ae8e6939266f28e6
2025-08-26T20:04:59.1851725Z  * [new tag]                 trunk/ac8d9418aee4543fa193c86ae0bc3e63707bcd3b -> trunk/ac8d9418aee4543fa193c86ae0bc3e63707bcd3b
2025-08-26T20:04:59.1852982Z  * [new tag]                 trunk/acb00d3ccf5f2d566225f07ed66bd579d5d3e44e -> trunk/acb00d3ccf5f2d566225f07ed66bd579d5d3e44e
2025-08-26T20:04:59.1854139Z  * [new tag]                 trunk/adecb0c9e89e0dfe18d944d292c98c97b686fc83 -> trunk/adecb0c9e89e0dfe18d944d292c98c97b686fc83
2025-08-26T20:04:59.1855350Z  * [new tag]                 trunk/ae8d319fd4a0b0fa7b1372aa07690a36ce823abc -> trunk/ae8d319fd4a0b0fa7b1372aa07690a36ce823abc
2025-08-26T20:04:59.1856667Z  * [new tag]                 trunk/af3265d20f763e5366bfa37e3d4a6307036d0c18 -> trunk/af3265d20f763e5366bfa37e3d4a6307036d0c18
2025-08-26T20:04:59.1857876Z  * [new tag]                 trunk/b0420d24386263f2727fd5714b63cfa6bc89f3e6 -> trunk/b0420d24386263f2727fd5714b63cfa6bc89f3e6
2025-08-26T20:04:59.1859084Z  * [new tag]                 trunk/b1380f434da2fa2de0e5ff6fd70f73082dc08687 -> trunk/b1380f434da2fa2de0e5ff6fd70f73082dc08687
2025-08-26T20:04:59.1860263Z  * [new tag]                 trunk/b2632e79828300302fd11e093d765196c3c0db58 -> trunk/b2632e79828300302fd11e093d765196c3c0db58
2025-08-26T20:04:59.1861521Z  * [new tag]                 trunk/b2e06e0194c3fa8f7578a1b48751cc027394fb67 -> trunk/b2e06e0194c3fa8f7578a1b48751cc027394fb67
2025-08-26T20:04:59.1862827Z  * [new tag]                 trunk/b3e215b864e6ca43b2c4e50ce666673f80feee27 -> trunk/b3e215b864e6ca43b2c4e50ce666673f80feee27
2025-08-26T20:04:59.1864077Z  * [new tag]                 trunk/b708966201811b31ee765ec57715ac21d06ef652 -> trunk/b708966201811b31ee765ec57715ac21d06ef652
2025-08-26T20:04:59.1865171Z  * [new tag]                 trunk/b9e9e92817fd7d1a778f074105603efb07e05004 -> trunk/b9e9e92817fd7d1a778f074105603efb07e05004
2025-08-26T20:04:59.1866368Z  * [new tag]                 trunk/bc7eaa0d8a1f5ca8ec0eaac461d1df500dcaea84 -> trunk/bc7eaa0d8a1f5ca8ec0eaac461d1df500dcaea84
2025-08-26T20:04:59.1867586Z  * [new tag]                 trunk/bcfe1b2d714cbb2716495e09ae010e7c34daf045 -> trunk/bcfe1b2d714cbb2716495e09ae010e7c34daf045
2025-08-26T20:04:59.1868673Z  * [new tag]                 trunk/bd5857a1d6d5455d4f0057c182dff5e8ad2a4c8a -> trunk/bd5857a1d6d5455d4f0057c182dff5e8ad2a4c8a
2025-08-26T20:04:59.1870343Z  * [new tag]                 trunk/be2e6b3158552405acc13ef7829a0217826fb271 -> trunk/be2e6b3158552405acc13ef7829a0217826fb271
2025-08-26T20:04:59.1871555Z  * [new tag]                 trunk/be87f22dfba4488963fcc854699829e2782ee0f2 -> trunk/be87f22dfba4488963fcc854699829e2782ee0f2
2025-08-26T20:04:59.1872815Z  * [new tag]                 trunk/becd6cd744bdf950578519437652a0d1f4b48781 -> trunk/becd6cd744bdf950578519437652a0d1f4b48781
2025-08-26T20:04:59.1874232Z  * [new tag]                 trunk/bf8431ba062efa9ff0cdd5032a3ddf2e007a3216 -> trunk/bf8431ba062efa9ff0cdd5032a3ddf2e007a3216
2025-08-26T20:04:59.1875485Z  * [new tag]                 trunk/c02e26bf31eb3da301158a061aa68527dbfb4d32 -> trunk/c02e26bf31eb3da301158a061aa68527dbfb4d32
2025-08-26T20:04:59.1876662Z  * [new tag]                 trunk/c081481bbebdb568d07ee19cfe2cd3125de6cba7 -> trunk/c081481bbebdb568d07ee19cfe2cd3125de6cba7
2025-08-26T20:04:59.1877920Z  * [new tag]                 trunk/c2390087c34c964ef648addf43efb8c6a34e30c2 -> trunk/c2390087c34c964ef648addf43efb8c6a34e30c2
2025-08-26T20:04:59.1879097Z  * [new tag]                 trunk/c4670e40c9b741d50a79b714e3830149833be908 -> trunk/c4670e40c9b741d50a79b714e3830149833be908
2025-08-26T20:04:59.1880377Z  * [new tag]                 trunk/c5cb255625deb4cdbc5780e6911b73498e17ed5a -> trunk/c5cb255625deb4cdbc5780e6911b73498e17ed5a
2025-08-26T20:04:59.1881543Z  * [new tag]                 trunk/c60dea5261d9648d1da51528a07731966bb6823e -> trunk/c60dea5261d9648d1da51528a07731966bb6823e
2025-08-26T20:04:59.1882777Z  * [new tag]                 trunk/c74e5f60611b7eac4321f53a9e4a15b077fb1bcc -> trunk/c74e5f60611b7eac4321f53a9e4a15b077fb1bcc
2025-08-26T20:04:59.1883739Z  * [new tag]                 trunk/c7a77470c54b28e555319e34048af14d1d66198a -> trunk/c7a77470c54b28e555319e34048af14d1d66198a
2025-08-26T20:04:59.1885086Z  * [new tag]                 trunk/c7fb031706330684fc3a2d8d169bebea874d4e95 -> trunk/c7fb031706330684fc3a2d8d169bebea874d4e95
2025-08-26T20:04:59.1886372Z  * [new tag]                 trunk/c8bb0e4720ddddf3cd1b0b48b336978f763c71ca -> trunk/c8bb0e4720ddddf3cd1b0b48b336978f763c71ca
2025-08-26T20:04:59.1887638Z  * [new tag]                 trunk/ca9fe0107e165a4a4147325ff6d34235ebde447f -> trunk/ca9fe0107e165a4a4147325ff6d34235ebde447f
2025-08-26T20:04:59.1888981Z  * [new tag]                 trunk/caf98fde0d5c47452af45dc77099449edd521579 -> trunk/caf98fde0d5c47452af45dc77099449edd521579
2025-08-26T20:04:59.1890059Z  * [new tag]                 trunk/cb579532150c9e87e7c143adcb020fb7de7cc6b1 -> trunk/cb579532150c9e87e7c143adcb020fb7de7cc6b1
2025-08-26T20:04:59.1891068Z  * [new tag]                 trunk/cc2b65a91ae7773d4ecf9a600dda48fc3e69aa8f -> trunk/cc2b65a91ae7773d4ecf9a600dda48fc3e69aa8f
2025-08-26T20:04:59.1892355Z  * [new tag]                 trunk/cc791d5857f4aa06b8d4e567b1fb2852e3ae963d -> trunk/cc791d5857f4aa06b8d4e567b1fb2852e3ae963d
2025-08-26T20:04:59.1893679Z  * [new tag]                 trunk/cd31be28ec5cd0c4d9cdb6742efe151eee1406ec -> trunk/cd31be28ec5cd0c4d9cdb6742efe151eee1406ec
2025-08-26T20:04:59.1894861Z  * [new tag]                 trunk/cd87f3029582cedb3b88747a3bd7d200b05c1138 -> trunk/cd87f3029582cedb3b88747a3bd7d200b05c1138
2025-08-26T20:04:59.1896199Z  * [new tag]                 trunk/ce048de608180fa88335e5821070472539968b54 -> trunk/ce048de608180fa88335e5821070472539968b54
2025-08-26T20:04:59.1897382Z  * [new tag]                 trunk/ce467df5d1d763d1648aee51c93ce3e9a4699936 -> trunk/ce467df5d1d763d1648aee51c93ce3e9a4699936
2025-08-26T20:04:59.1898762Z  * [new tag]                 trunk/cee72119b2dec7776bc2550dd39a9b1349772751 -> trunk/cee72119b2dec7776bc2550dd39a9b1349772751
2025-08-26T20:04:59.1900045Z  * [new tag]                 trunk/cf94cadbeee31a4d1d46a57f11bce7c9fd1cebc0 -> trunk/cf94cadbeee31a4d1d46a57f11bce7c9fd1cebc0
2025-08-26T20:04:59.1901297Z  * [new tag]                 trunk/cfdaaaaa26d7f34427ba941569eca46f02f79f3e -> trunk/cfdaaaaa26d7f34427ba941569eca46f02f79f3e
2025-08-26T20:04:59.1902712Z  * [new tag]                 trunk/d1faf2ef0476eb60b42c057baee9af0f48ae849a -> trunk/d1faf2ef0476eb60b42c057baee9af0f48ae849a
2025-08-26T20:04:59.1903995Z  * [new tag]                 trunk/d228a776e90368bb693837ae23285ad8fc33def5 -> trunk/d228a776e90368bb693837ae23285ad8fc33def5
2025-08-26T20:04:59.1905173Z  * [new tag]                 trunk/d2b8c0d431e00ad57354c5247e46c1bea0b8cd31 -> trunk/d2b8c0d431e00ad57354c5247e46c1bea0b8cd31
2025-08-26T20:04:59.1906496Z  * [new tag]                 trunk/d2bd55d8de784df439b38378f161271dc43b744c -> trunk/d2bd55d8de784df439b38378f161271dc43b744c
2025-08-26T20:04:59.1907687Z  * [new tag]                 trunk/d4703fb91c3510460d71f648da113177edf593c8 -> trunk/d4703fb91c3510460d71f648da113177edf593c8
2025-08-26T20:04:59.1908981Z  * [new tag]                 trunk/d875d3ca1e5099636c766c9df70ac5888c25215a -> trunk/d875d3ca1e5099636c766c9df70ac5888c25215a
2025-08-26T20:04:59.1910219Z  * [new tag]                 trunk/d8fcb2a4acb506f9c72a1f44fc8b857158bda892 -> trunk/d8fcb2a4acb506f9c72a1f44fc8b857158bda892
2025-08-26T20:04:59.1911403Z  * [new tag]                 trunk/daeb3a6094c62d1881ea68091fcadb02d1dc687e -> trunk/daeb3a6094c62d1881ea68091fcadb02d1dc687e
2025-08-26T20:04:59.1912665Z  * [new tag]                 trunk/db38c44ad639e7ada3e9df2ba026a2cb5e40feb0 -> trunk/db38c44ad639e7ada3e9df2ba026a2cb5e40feb0
2025-08-26T20:04:59.1914275Z  * [new tag]                 trunk/db44de4c0d3e9f1fe5334ff4cc261fb8fe4390c8 -> trunk/db44de4c0d3e9f1fe5334ff4cc261fb8fe4390c8
2025-08-26T20:04:59.1915599Z  * [new tag]                 trunk/dbef6066311a1ce6e60e1f2b6084249d1ad45769 -> trunk/dbef6066311a1ce6e60e1f2b6084249d1ad45769
2025-08-26T20:04:59.1916813Z  * [new tag]                 trunk/df571ae7ad7dacf77ce42c00189cf369d7993387 -> trunk/df571ae7ad7dacf77ce42c00189cf369d7993387
2025-08-26T20:04:59.1918037Z  * [new tag]                 trunk/df6073641079c781e66a905e4f15ee49ac257eb2 -> trunk/df6073641079c781e66a905e4f15ee49ac257eb2
2025-08-26T20:04:59.1919254Z  * [new tag]                 trunk/e1a64b75ff3dc834774a9174c2e7b1c46dea35ec -> trunk/e1a64b75ff3dc834774a9174c2e7b1c46dea35ec
2025-08-26T20:04:59.1920440Z  * [new tag]                 trunk/e20f6d798606f3245686e950c43635bbe526232d -> trunk/e20f6d798606f3245686e950c43635bbe526232d
2025-08-26T20:04:59.1921427Z  * [new tag]                 trunk/e25ee0290ef16503f178e04890c15717f6e9ea44 -> trunk/e25ee0290ef16503f178e04890c15717f6e9ea44
2025-08-26T20:04:59.1922748Z  * [new tag]                 trunk/e34b6a01039df5d8940acdccd8d8989f3cd827aa -> trunk/e34b6a01039df5d8940acdccd8d8989f3cd827aa
2025-08-26T20:04:59.1924139Z  * [new tag]                 trunk/e3d68dfae2dee15e74d3b95beaed7149b6afb94a -> trunk/e3d68dfae2dee15e74d3b95beaed7149b6afb94a
2025-08-26T20:04:59.1925356Z  * [new tag]                 trunk/e3ebf364e6d2fb8008da113a596d3cc426ba9c79 -> trunk/e3ebf364e6d2fb8008da113a596d3cc426ba9c79
2025-08-26T20:04:59.1926221Z  * [new tag]                 trunk/e4839470470168648dee5997f57347bb8541ea2b -> trunk/e4839470470168648dee5997f57347bb8541ea2b
2025-08-26T20:04:59.1927605Z  * [new tag]                 trunk/e63155751825ba026ced3a1fc89563231bc85ccc -> trunk/e63155751825ba026ced3a1fc89563231bc85ccc
2025-08-26T20:04:59.1928801Z  * [new tag]                 trunk/e6aa7287f8c8cac76d792097f20ba1dae6dc8717 -> trunk/e6aa7287f8c8cac76d792097f20ba1dae6dc8717
2025-08-26T20:04:59.1930061Z  * [new tag]                 trunk/e6e45e6ae8452f0bc5e3e258027c42eb9a1394fb -> trunk/e6e45e6ae8452f0bc5e3e258027c42eb9a1394fb
2025-08-26T20:04:59.1931253Z  * [new tag]                 trunk/e795450a35bca909902e12de99245e1c0e7e2872 -> trunk/e795450a35bca909902e12de99245e1c0e7e2872
2025-08-26T20:04:59.1932491Z  * [new tag]                 trunk/e7e270a33a3f368c3ef0c3339950a47fdbfadd71 -> trunk/e7e270a33a3f368c3ef0c3339950a47fdbfadd71
2025-08-26T20:04:59.1933664Z  * [new tag]                 trunk/e836323a23f5750e800abe04ef8ca386b3066b58 -> trunk/e836323a23f5750e800abe04ef8ca386b3066b58
2025-08-26T20:04:59.1934885Z  * [new tag]                 trunk/e83825f91cb2901567fedbf31ba7cc434a897271 -> trunk/e83825f91cb2901567fedbf31ba7cc434a897271
2025-08-26T20:04:59.1936367Z  * [new tag]                 trunk/e9d42b3880dcdbd823bbdc9370c8b0b3af0ba2e3 -> trunk/e9d42b3880dcdbd823bbdc9370c8b0b3af0ba2e3
2025-08-26T20:04:59.1937615Z  * [new tag]                 trunk/eb5549a43164cdf8689cd7d177c03b2508c699f4 -> trunk/eb5549a43164cdf8689cd7d177c03b2508c699f4
2025-08-26T20:04:59.1938877Z  * [new tag]                 trunk/eba1ad09e47b66478f973e03cece7f314ac3b412 -> trunk/eba1ad09e47b66478f973e03cece7f314ac3b412
2025-08-26T20:04:59.1940115Z  * [new tag]                 trunk/eba20d2d748cb17dce9aa26e5513e4567bfd8282 -> trunk/eba20d2d748cb17dce9aa26e5513e4567bfd8282
2025-08-26T20:04:59.1942054Z  * [new tag]                 trunk/ec21cafd85d491d2d220e4e54080fe340a37c4c2 -> trunk/ec21cafd85d491d2d220e4e54080fe340a37c4c2
2025-08-26T20:04:59.1942741Z  * [new tag]                 trunk/ed8bcccf31e1ba01a35e818a4afbb74c333e8dc3 -> trunk/ed8bcccf31e1ba01a35e818a4afbb74c333e8dc3
2025-08-26T20:04:59.1943974Z  * [new tag]                 trunk/eddaaa6c2a66a84e17b17bf8af5131852067b259 -> trunk/eddaaa6c2a66a84e17b17bf8af5131852067b259
2025-08-26T20:04:59.1945027Z  * [new tag]                 trunk/ef761c43538abae5bccc0c4b6ebaf42ff676db7a -> trunk/ef761c43538abae5bccc0c4b6ebaf42ff676db7a
2025-08-26T20:04:59.1946127Z  * [new tag]                 trunk/f085f299584b06a2a7d8855eda2a411313e782ad -> trunk/f085f299584b06a2a7d8855eda2a411313e782ad
2025-08-26T20:04:59.1947031Z  * [new tag]                 trunk/f09458c2e16b4fe7063d73d80fd3e7e354bad3f8 -> trunk/f09458c2e16b4fe7063d73d80fd3e7e354bad3f8
2025-08-26T20:04:59.1947944Z  * [new tag]                 trunk/f0e0a6897ee5cb31ccee10ee8e2d3c01140ff999 -> trunk/f0e0a6897ee5cb31ccee10ee8e2d3c01140ff999
2025-08-26T20:04:59.1949292Z  * [new tag]                 trunk/f30501937738a2440f90988d1d46920529309ba8 -> trunk/f30501937738a2440f90988d1d46920529309ba8
2025-08-26T20:04:59.1950156Z  * [new tag]                 trunk/f391afe9bf8c542fdbb822423d2a1e454b3d9744 -> trunk/f391afe9bf8c542fdbb822423d2a1e454b3d9744
2025-08-26T20:04:59.1950899Z  * [new tag]                 trunk/f521e82a4e80df502fa57e5852af14d8779dcbd1 -> trunk/f521e82a4e80df502fa57e5852af14d8779dcbd1
2025-08-26T20:04:59.1951788Z  * [new tag]                 trunk/f5bf5147ad18994c9a6e0f565d7831362bf5a18a -> trunk/f5bf5147ad18994c9a6e0f565d7831362bf5a18a
2025-08-26T20:04:59.1952835Z  * [new tag]                 trunk/f795e92802c55608ad4f4f198726d250056d0232 -> trunk/f795e92802c55608ad4f4f198726d250056d0232
2025-08-26T20:04:59.1953663Z  * [new tag]                 trunk/f8bd85827d465a8a2a610c27ed9e62a4c27ac07d -> trunk/f8bd85827d465a8a2a610c27ed9e62a4c27ac07d
2025-08-26T20:04:59.1954609Z  * [new tag]                 trunk/f90ccad1651b5a1698b2232acc3e92e2829b7935 -> trunk/f90ccad1651b5a1698b2232acc3e92e2829b7935
2025-08-26T20:04:59.1955387Z  * [new tag]                 trunk/f912c93344caa74e24c8164a2e25fe84a8203073 -> trunk/f912c93344caa74e24c8164a2e25fe84a8203073
2025-08-26T20:04:59.1956329Z  * [new tag]                 trunk/f9875166a953a51bbd454d963ee03d41818a27e8 -> trunk/f9875166a953a51bbd454d963ee03d41818a27e8
2025-08-26T20:04:59.1957286Z  * [new tag]                 trunk/f9df4ec2af0ac19b42f658ae87acf12067e67b36 -> trunk/f9df4ec2af0ac19b42f658ae87acf12067e67b36
2025-08-26T20:04:59.1958252Z  * [new tag]                 trunk/fab5dac734344105ae107e85c08151758a4a9b4d -> trunk/fab5dac734344105ae107e85c08151758a4a9b4d
2025-08-26T20:04:59.1959276Z  * [new tag]                 trunk/fb241d0a448f1dd88471098ac149418124a7c4aa -> trunk/fb241d0a448f1dd88471098ac149418124a7c4aa
2025-08-26T20:04:59.1960143Z  * [new tag]                 trunk/fc0683b1e75fdf3182e0855b3f79e80fe0124ef1 -> trunk/fc0683b1e75fdf3182e0855b3f79e80fe0124ef1
2025-08-26T20:04:59.1962915Z  * [new tag]                 trunk/fc69c2bc67672c3b2d0c62c1821895f09288f1c0 -> trunk/fc69c2bc67672c3b2d0c62c1821895f09288f1c0
2025-08-26T20:04:59.1963742Z  * [new tag]                 trunk/febfc3ec03004116dfd6d504e6853ff02a1dd6e0 -> trunk/febfc3ec03004116dfd6d504e6853ff02a1dd6e0
2025-08-26T20:04:59.1964704Z  * [new tag]                 trunk/fecc5f600110209aaaedead11770a445b3c879e6 -> trunk/fecc5f600110209aaaedead11770a445b3c879e6
2025-08-26T20:04:59.1965659Z  * [new tag]                 trunk/ff4f5dd8ed8e2aaee903c7d30cd4f8bd04d883c8 -> trunk/ff4f5dd8ed8e2aaee903c7d30cd4f8bd04d883c8
2025-08-26T20:04:59.1966390Z  * [new tag]                 trunk/ffa1ce7650766c2ae6eaa96415dfc29e9eb0b3ec -> trunk/ffa1ce7650766c2ae6eaa96415dfc29e9eb0b3ec
2025-08-26T20:04:59.1967044Z  * [new tag]                 v0.1.1                      -> v0.1.1
2025-08-26T20:04:59.1968000Z  * [new tag]                 v0.1.10                     -> v0.1.10
2025-08-26T20:04:59.1968785Z  * [new tag]                 v0.1.11                     -> v0.1.11
2025-08-26T20:04:59.1969554Z  * [new tag]                 v0.1.12                     -> v0.1.12
2025-08-26T20:04:59.1970455Z  * [new tag]                 v0.1.2                      -> v0.1.2
2025-08-26T20:04:59.1971163Z  * [new tag]                 v0.1.3                      -> v0.1.3
2025-08-26T20:04:59.1971968Z  * [new tag]                 v0.1.4                      -> v0.1.4
2025-08-26T20:04:59.1972739Z  * [new tag]                 v0.1.5                      -> v0.1.5
2025-08-26T20:04:59.1973762Z  * [new tag]                 v0.1.6                      -> v0.1.6
2025-08-26T20:04:59.1974463Z  * [new tag]                 v0.1.7                      -> v0.1.7
2025-08-26T20:04:59.1975387Z  * [new tag]                 v0.1.8                      -> v0.1.8
2025-08-26T20:04:59.1976635Z  * [new tag]                 v0.1.9                      -> v0.1.9
2025-08-26T20:04:59.1977364Z  * [new tag]                 v0.2.0                      -> v0.2.0
2025-08-26T20:04:59.1978329Z  * [new tag]                 v0.3.0                      -> v0.3.0
2025-08-26T20:04:59.1979303Z  * [new tag]                 v0.3.1                      -> v0.3.1
2025-08-26T20:04:59.1980005Z  * [new tag]                 v0.4.0                      -> v0.4.0
2025-08-26T20:04:59.1980883Z  * [new tag]                 v0.4.1                      -> v0.4.1
2025-08-26T20:04:59.1981626Z  * [new tag]                 v1.0.0                      -> v1.0.0
2025-08-26T20:04:59.1982623Z  * [new tag]                 v1.0.0a0                    -> v1.0.0a0
2025-08-26T20:04:59.1983325Z  * [new tag]                 v1.0.1                      -> v1.0.1
2025-08-26T20:04:59.1984388Z  * [new tag]                 v1.0rc0                     -> v1.0rc0
2025-08-26T20:04:59.1984840Z  * [new tag]                 v1.0rc1                     -> v1.0rc1
2025-08-26T20:04:59.1985975Z  * [new tag]                 v1.1.0                      -> v1.1.0
2025-08-26T20:04:59.1986877Z  * [new tag]                 v1.1.0a0                    -> v1.1.0a0
2025-08-26T20:04:59.1987914Z  * [new tag]                 v1.10.0                     -> v1.10.0
2025-08-26T20:04:59.1988867Z  * [new tag]                 v1.10.0-rc1                 -> v1.10.0-rc1
2025-08-26T20:04:59.1989638Z  * [new tag]                 v1.10.0-rc2                 -> v1.10.0-rc2
2025-08-26T20:04:59.1990298Z  * [new tag]                 v1.10.0-rc3                 -> v1.10.0-rc3
2025-08-26T20:04:59.1991255Z  * [new tag]                 v1.10.1                     -> v1.10.1
2025-08-26T20:04:59.1991826Z  * [new tag]                 v1.10.1-rc1                 -> v1.10.1-rc1
2025-08-26T20:04:59.1992525Z  * [new tag]                 v1.10.2                     -> v1.10.2
2025-08-26T20:04:59.1993186Z  * [new tag]                 v1.10.2-rc1                 -> v1.10.2-rc1
2025-08-26T20:04:59.1994207Z  * [new tag]                 v1.11.0                     -> v1.11.0
2025-08-26T20:04:59.1995120Z  * [new tag]                 v1.11.0-rc1                 -> v1.11.0-rc1
2025-08-26T20:04:59.1996095Z  * [new tag]                 v1.11.0-rc2                 -> v1.11.0-rc2
2025-08-26T20:04:59.1996875Z  * [new tag]                 v1.11.0-rc3                 -> v1.11.0-rc3
2025-08-26T20:04:59.1997856Z  * [new tag]                 v1.11.0-rc4                 -> v1.11.0-rc4
2025-08-26T20:04:59.1998751Z  * [new tag]                 v1.11.0-rc5                 -> v1.11.0-rc5
2025-08-26T20:04:59.1999417Z  * [new tag]                 v1.11.0-rc6                 -> v1.11.0-rc6
2025-08-26T20:04:59.1999988Z  * [new tag]                 v1.11.0-rc7                 -> v1.11.0-rc7
2025-08-26T20:04:59.2001081Z  * [new tag]                 v1.12.0                     -> v1.12.0
2025-08-26T20:04:59.2001817Z  * [new tag]                 v1.12.0-rc1                 -> v1.12.0-rc1
2025-08-26T20:04:59.2002794Z  * [new tag]                 v1.12.0-rc2                 -> v1.12.0-rc2
2025-08-26T20:04:59.2003708Z  * [new tag]                 v1.12.0-rc3                 -> v1.12.0-rc3
2025-08-26T20:04:59.2004615Z  * [new tag]                 v1.12.0-rc4                 -> v1.12.0-rc4
2025-08-26T20:04:59.2005346Z  * [new tag]                 v1.12.0-rc5                 -> v1.12.0-rc5
2025-08-26T20:04:59.2006457Z  * [new tag]                 v1.12.0-rc6                 -> v1.12.0-rc6
2025-08-26T20:04:59.2007082Z  * [new tag]                 v1.12.0-rc7                 -> v1.12.0-rc7
2025-08-26T20:04:59.2007780Z  * [new tag]                 v1.12.0-rc8                 -> v1.12.0-rc8
2025-08-26T20:04:59.2008437Z  * [new tag]                 v1.12.1                     -> v1.12.1
2025-08-26T20:04:59.2009456Z  * [new tag]                 v1.12.1-rc1                 -> v1.12.1-rc1
2025-08-26T20:04:59.2010261Z  * [new tag]                 v1.12.1-rc2                 -> v1.12.1-rc2
2025-08-26T20:04:59.2011291Z  * [new tag]                 v1.12.1-rc3                 -> v1.12.1-rc3
2025-08-26T20:04:59.2012106Z  * [new tag]                 v1.12.1-rc4                 -> v1.12.1-rc4
2025-08-26T20:04:59.2012762Z  * [new tag]                 v1.12.1-rc5                 -> v1.12.1-rc5
2025-08-26T20:04:59.2013753Z  * [new tag]                 v1.13.0                     -> v1.13.0
2025-08-26T20:04:59.2014514Z  * [new tag]                 v1.13.0-rc1                 -> v1.13.0-rc1
2025-08-26T20:04:59.2015457Z  * [new tag]                 v1.13.0-rc2                 -> v1.13.0-rc2
2025-08-26T20:04:59.2016191Z  * [new tag]                 v1.13.0-rc3                 -> v1.13.0-rc3
2025-08-26T20:04:59.2017280Z  * [new tag]                 v1.13.0-rc4                 -> v1.13.0-rc4
2025-08-26T20:04:59.2017809Z  * [new tag]                 v1.13.0-rc5                 -> v1.13.0-rc5
2025-08-26T20:04:59.2018601Z  * [new tag]                 v1.13.0-rc6                 -> v1.13.0-rc6
2025-08-26T20:04:59.2019629Z  * [new tag]                 v1.13.1                     -> v1.13.1
2025-08-26T20:04:59.2020150Z  * [new tag]                 v1.13.1-rc1                 -> v1.13.1-rc1
2025-08-26T20:04:59.2021128Z  * [new tag]                 v1.2.0                      -> v1.2.0
2025-08-26T20:04:59.2021913Z  * [new tag]                 v1.2.0a0                    -> v1.2.0a0
2025-08-26T20:04:59.2022808Z  * [new tag]                 v1.3.0                      -> v1.3.0
2025-08-26T20:04:59.2023580Z  * [new tag]                 v1.3.0a0                    -> v1.3.0a0
2025-08-26T20:04:59.2024251Z  * [new tag]                 v1.3.1                      -> v1.3.1
2025-08-26T20:04:59.2025201Z  * [new tag]                 v1.4.0                      -> v1.4.0
2025-08-26T20:04:59.2026227Z  * [new tag]                 v1.4.0a0                    -> v1.4.0a0
2025-08-26T20:04:59.2026733Z  * [new tag]                 v1.4.1                      -> v1.4.1
2025-08-26T20:04:59.2027890Z  * [new tag]                 v1.5.0                      -> v1.5.0
2025-08-26T20:04:59.2028672Z  * [new tag]                 v1.5.0-rc1                  -> v1.5.0-rc1
2025-08-26T20:04:59.2029666Z  * [new tag]                 v1.5.0-rc2                  -> v1.5.0-rc2
2025-08-26T20:04:59.2031081Z  * [new tag]                 v1.5.0-rc3                  -> v1.5.0-rc3
2025-08-26T20:04:59.2031773Z  * [new tag]                 v1.5.0-rc4                  -> v1.5.0-rc4
2025-08-26T20:04:59.2032460Z  * [new tag]                 v1.5.0-rc5                  -> v1.5.0-rc5
2025-08-26T20:04:59.2033437Z  * [new tag]                 v1.5.1                      -> v1.5.1
2025-08-26T20:04:59.2033972Z  * [new tag]                 v1.5.1-rc1                  -> v1.5.1-rc1
2025-08-26T20:04:59.2034709Z  * [new tag]                 v1.6.0                      -> v1.6.0
2025-08-26T20:04:59.2035731Z  * [new tag]                 v1.6.0-rc1                  -> v1.6.0-rc1
2025-08-26T20:04:59.2036694Z  * [new tag]                 v1.6.0-rc2                  -> v1.6.0-rc2
2025-08-26T20:04:59.2037471Z  * [new tag]                 v1.6.0-rc3                  -> v1.6.0-rc3
2025-08-26T20:04:59.2038387Z  * [new tag]                 v1.6.0-rc4                  -> v1.6.0-rc4
2025-08-26T20:04:59.2039162Z  * [new tag]                 v1.6.0-rc5                  -> v1.6.0-rc5
2025-08-26T20:04:59.2040290Z  * [new tag]                 v1.6.0-rc6                  -> v1.6.0-rc6
2025-08-26T20:04:59.2040959Z  * [new tag]                 v1.6.0-rc7                  -> v1.6.0-rc7
2025-08-26T20:04:59.2041980Z  * [new tag]                 v1.7.0                      -> v1.7.0
2025-08-26T20:04:59.2042841Z  * [new tag]                 v1.7.0-rc1                  -> v1.7.0-rc1
2025-08-26T20:04:59.2043925Z  * [new tag]                 v1.7.0-rc2                  -> v1.7.0-rc2
2025-08-26T20:04:59.2044700Z  * [new tag]                 v1.7.0-rc3                  -> v1.7.0-rc3
2025-08-26T20:04:59.2045414Z  * [new tag]                 v1.7.0-rc4                  -> v1.7.0-rc4
2025-08-26T20:04:59.2046373Z  * [new tag]                 v1.7.1                      -> v1.7.1
2025-08-26T20:04:59.2047418Z  * [new tag]                 v1.7.1-rc1                  -> v1.7.1-rc1
2025-08-26T20:04:59.2048187Z  * [new tag]                 v1.7.1-rc2                  -> v1.7.1-rc2
2025-08-26T20:04:59.2048885Z  * [new tag]                 v1.7.1-rc3                  -> v1.7.1-rc3
2025-08-26T20:04:59.2049875Z  * [new tag]                 v1.8.0                      -> v1.8.0
2025-08-26T20:04:59.2050407Z  * [new tag]                 v1.8.0-rc1                  -> v1.8.0-rc1
2025-08-26T20:04:59.2051441Z  * [new tag]                 v1.8.0-rc2                  -> v1.8.0-rc2
2025-08-26T20:04:59.2052342Z  * [new tag]                 v1.8.0-rc3                  -> v1.8.0-rc3
2025-08-26T20:04:59.2053074Z  * [new tag]                 v1.8.0-rc4                  -> v1.8.0-rc4
2025-08-26T20:04:59.2053817Z  * [new tag]                 v1.8.0-rc5                  -> v1.8.0-rc5
2025-08-26T20:04:59.2054414Z  * [new tag]                 v1.8.1                      -> v1.8.1
2025-08-26T20:04:59.2055504Z  * [new tag]                 v1.8.1-rc1                  -> v1.8.1-rc1
2025-08-26T20:04:59.2056048Z  * [new tag]                 v1.8.1-rc2                  -> v1.8.1-rc2
2025-08-26T20:04:59.2056790Z  * [new tag]                 v1.8.1-rc3                  -> v1.8.1-rc3
2025-08-26T20:04:59.2058219Z  * [new tag]                 v1.8.2                      -> v1.8.2
2025-08-26T20:04:59.2058783Z  * [new tag]                 v1.8.2-rc1                  -> v1.8.2-rc1
2025-08-26T20:04:59.2059828Z  * [new tag]                 v1.9.0                      -> v1.9.0
2025-08-26T20:04:59.2060739Z  * [new tag]                 v1.9.0-rc1                  -> v1.9.0-rc1
2025-08-26T20:04:59.2061638Z  * [new tag]                 v1.9.0-rc2                  -> v1.9.0-rc2
2025-08-26T20:04:59.2062643Z  * [new tag]                 v1.9.0-rc3                  -> v1.9.0-rc3
2025-08-26T20:04:59.2063267Z  * [new tag]                 v1.9.0-rc4                  -> v1.9.0-rc4
2025-08-26T20:04:59.2064178Z  * [new tag]                 v1.9.1                      -> v1.9.1
2025-08-26T20:04:59.2065226Z  * [new tag]                 v1.9.1-rc1                  -> v1.9.1-rc1
2025-08-26T20:04:59.2066013Z  * [new tag]                 v1.9.1-rc2                  -> v1.9.1-rc2
2025-08-26T20:04:59.2067041Z  * [new tag]                 v2.0.0                      -> v2.0.0
2025-08-26T20:04:59.2067799Z  * [new tag]                 v2.0.0-rc1                  -> v2.0.0-rc1
2025-08-26T20:04:59.2068778Z  * [new tag]                 v2.0.0-rc2                  -> v2.0.0-rc2
2025-08-26T20:04:59.2069739Z  * [new tag]                 v2.0.0-rc3                  -> v2.0.0-rc3
2025-08-26T20:04:59.2070454Z  * [new tag]                 v2.0.0-rc4                  -> v2.0.0-rc4
2025-08-26T20:04:59.2071457Z  * [new tag]                 v2.0.0-rc5                  -> v2.0.0-rc5
2025-08-26T20:04:59.2072010Z  * [new tag]                 v2.0.0-rc6                  -> v2.0.0-rc6
2025-08-26T20:04:59.2073132Z  * [new tag]                 v2.0.1                      -> v2.0.1
2025-08-26T20:04:59.2074087Z  * [new tag]                 v2.0.1-rc1                  -> v2.0.1-rc1
2025-08-26T20:04:59.2074636Z  * [new tag]                 v2.0.1-rc2                  -> v2.0.1-rc2
2025-08-26T20:04:59.2075459Z  * [new tag]                 v2.0.1-rc3                  -> v2.0.1-rc3
2025-08-26T20:04:59.2076129Z  * [new tag]                 v2.0.1-rc4                  -> v2.0.1-rc4
2025-08-26T20:04:59.2077608Z  * [new tag]                 v2.1.0                      -> v2.1.0
2025-08-26T20:04:59.2078345Z  * [new tag]                 v2.1.0-rc1                  -> v2.1.0-rc1
2025-08-26T20:04:59.2079330Z  * [new tag]                 v2.1.0-rc2                  -> v2.1.0-rc2
2025-08-26T20:04:59.2080281Z  * [new tag]                 v2.1.0-rc3                  -> v2.1.0-rc3
2025-08-26T20:04:59.2081249Z  * [new tag]                 v2.1.0-rc4                  -> v2.1.0-rc4
2025-08-26T20:04:59.2082221Z  * [new tag]                 v2.1.0-rc5                  -> v2.1.0-rc5
2025-08-26T20:04:59.2082641Z  * [new tag]                 v2.1.0-rc6                  -> v2.1.0-rc6
2025-08-26T20:04:59.2083744Z  * [new tag]                 v2.1.1                      -> v2.1.1
2025-08-26T20:04:59.2084665Z  * [new tag]                 v2.1.1-rc1                  -> v2.1.1-rc1
2025-08-26T20:04:59.2085412Z  * [new tag]                 v2.1.1-rc2                  -> v2.1.1-rc2
2025-08-26T20:04:59.2086835Z  * [new tag]                 v2.1.1-rc3                  -> v2.1.1-rc3
2025-08-26T20:04:59.2087786Z  * [new tag]                 v2.1.1-rc4                  -> v2.1.1-rc4
2025-08-26T20:04:59.2088545Z  * [new tag]                 v2.1.1-rc5                  -> v2.1.1-rc5
2025-08-26T20:04:59.2089202Z  * [new tag]                 v2.1.1-rc6                  -> v2.1.1-rc6
2025-08-26T20:04:59.2090156Z  * [new tag]                 v2.1.2                      -> v2.1.2
2025-08-26T20:04:59.2091417Z  * [new tag]                 v2.1.2-rc1                  -> v2.1.2-rc1
2025-08-26T20:04:59.2091973Z  * [new tag]                 v2.1.2-rc2                  -> v2.1.2-rc2
2025-08-26T20:04:59.2092618Z  * [new tag]                 v2.1.2-rc3                  -> v2.1.2-rc3
2025-08-26T20:04:59.2093633Z  * [new tag]                 v2.2.0                      -> v2.2.0
2025-08-26T20:04:59.2094373Z  * [new tag]                 v2.2.0-rc1                  -> v2.2.0-rc1
2025-08-26T20:04:59.2095306Z  * [new tag]                 v2.2.0-rc2                  -> v2.2.0-rc2
2025-08-26T20:04:59.2096064Z  * [new tag]                 v2.2.0-rc3                  -> v2.2.0-rc3
2025-08-26T20:04:59.2097034Z  * [new tag]                 v2.2.0-rc4                  -> v2.2.0-rc4
2025-08-26T20:04:59.2097908Z  * [new tag]                 v2.2.0-rc5                  -> v2.2.0-rc5
2025-08-26T20:04:59.2098744Z  * [new tag]                 v2.2.0-rc6                  -> v2.2.0-rc6
2025-08-26T20:04:59.2099367Z  * [new tag]                 v2.2.0-rc7                  -> v2.2.0-rc7
2025-08-26T20:04:59.2100049Z  * [new tag]                 v2.2.0-rc8                  -> v2.2.0-rc8
2025-08-26T20:04:59.2101086Z  * [new tag]                 v2.2.1                      -> v2.2.1
2025-08-26T20:04:59.2102017Z  * [new tag]                 v2.2.1-rc1                  -> v2.2.1-rc1
2025-08-26T20:04:59.2102574Z  * [new tag]                 v2.2.1-rc2                  -> v2.2.1-rc2
2025-08-26T20:04:59.2103274Z  * [new tag]                 v2.2.1-rc3                  -> v2.2.1-rc3
2025-08-26T20:04:59.2103977Z  * [new tag]                 v2.2.2                      -> v2.2.2
2025-08-26T20:04:59.2105121Z  * [new tag]                 v2.2.2-rc1                  -> v2.2.2-rc1
2025-08-26T20:04:59.2105878Z  * [new tag]                 v2.2.2-rc2                  -> v2.2.2-rc2
2025-08-26T20:04:59.2106560Z  * [new tag]                 v2.2.2-rc3                  -> v2.2.2-rc3
2025-08-26T20:04:59.2107656Z  * [new tag]                 v2.3.0                      -> v2.3.0
2025-08-26T20:04:59.2108522Z  * [new tag]                 v2.3.0-rc1                  -> v2.3.0-rc1
2025-08-26T20:04:59.2109456Z  * [new tag]                 v2.3.0-rc10                 -> v2.3.0-rc10
2025-08-26T20:04:59.2110418Z  * [new tag]                 v2.3.0-rc11                 -> v2.3.0-rc11
2025-08-26T20:04:59.2111102Z  * [new tag]                 v2.3.0-rc12                 -> v2.3.0-rc12
2025-08-26T20:04:59.2112058Z  * [new tag]                 v2.3.0-rc2                  -> v2.3.0-rc2
2025-08-26T20:04:59.2112833Z  * [new tag]                 v2.3.0-rc3                  -> v2.3.0-rc3
2025-08-26T20:04:59.2113826Z  * [new tag]                 v2.3.0-rc4                  -> v2.3.0-rc4
2025-08-26T20:04:59.2114611Z  * [new tag]                 v2.3.0-rc5                  -> v2.3.0-rc5
2025-08-26T20:04:59.2115279Z  * [new tag]                 v2.3.0-rc6                  -> v2.3.0-rc6
2025-08-26T20:04:59.2116265Z  * [new tag]                 v2.3.0-rc7                  -> v2.3.0-rc7
2025-08-26T20:04:59.2117044Z  * [new tag]                 v2.3.0-rc8                  -> v2.3.0-rc8
2025-08-26T20:04:59.2117732Z  * [new tag]                 v2.3.0-rc9                  -> v2.3.0-rc9
2025-08-26T20:04:59.2118441Z  * [new tag]                 v2.3.1                      -> v2.3.1
2025-08-26T20:04:59.2119414Z  * [new tag]                 v2.3.1-rc1                  -> v2.3.1-rc1
2025-08-26T20:04:59.2120164Z  * [new tag]                 v2.3.1-rc2                  -> v2.3.1-rc2
2025-08-26T20:04:59.2121154Z  * [new tag]                 v2.3.1-rc3                  -> v2.3.1-rc3
2025-08-26T20:04:59.2122093Z  * [new tag]                 v2.4.0                      -> v2.4.0
2025-08-26T20:04:59.2122812Z  * [new tag]                 v2.4.0-rc1                  -> v2.4.0-rc1
2025-08-26T20:04:59.2123805Z  * [new tag]                 v2.4.0-rc2                  -> v2.4.0-rc2
2025-08-26T20:04:59.2124576Z  * [new tag]                 v2.4.0-rc3                  -> v2.4.0-rc3
2025-08-26T20:04:59.2125568Z  * [new tag]                 v2.4.0-rc4                  -> v2.4.0-rc4
2025-08-26T20:04:59.2126353Z  * [new tag]                 v2.4.0-rc5                  -> v2.4.0-rc5
2025-08-26T20:04:59.2127341Z  * [new tag]                 v2.4.0-rc6                  -> v2.4.0-rc6
2025-08-26T20:04:59.2128296Z  * [new tag]                 v2.4.0-rc7                  -> v2.4.0-rc7
2025-08-26T20:04:59.2129020Z  * [new tag]                 v2.4.0-rc8                  -> v2.4.0-rc8
2025-08-26T20:04:59.2130030Z  * [new tag]                 v2.4.0-rc9                  -> v2.4.0-rc9
2025-08-26T20:04:59.2130562Z  * [new tag]                 v2.4.1                      -> v2.4.1
2025-08-26T20:04:59.2131726Z  * [new tag]                 v2.4.1-rc1                  -> v2.4.1-rc1
2025-08-26T20:04:59.2132676Z  * [new tag]                 v2.4.1-rc2                  -> v2.4.1-rc2
2025-08-26T20:04:59.2133430Z  * [new tag]                 v2.4.1-rc3                  -> v2.4.1-rc3
2025-08-26T20:04:59.2134388Z  * [new tag]                 v2.5.0                      -> v2.5.0
2025-08-26T20:04:59.2135274Z  * [new tag]                 v2.5.0-rc1                  -> v2.5.0-rc1
2025-08-26T20:04:59.2135813Z  * [new tag]                 v2.5.0-rc10                 -> v2.5.0-rc10
2025-08-26T20:04:59.2136846Z  * [new tag]                 v2.5.0-rc2                  -> v2.5.0-rc2
2025-08-26T20:04:59.2137605Z  * [new tag]                 v2.5.0-rc3                  -> v2.5.0-rc3
2025-08-26T20:04:59.2138657Z  * [new tag]                 v2.5.0-rc4                  -> v2.5.0-rc4
2025-08-26T20:04:59.2139588Z  * [new tag]                 v2.5.0-rc5                  -> v2.5.0-rc5
2025-08-26T20:04:59.2140676Z  * [new tag]                 v2.5.0-rc6                  -> v2.5.0-rc6
2025-08-26T20:04:59.2142066Z  * [new tag]                 v2.5.0-rc7                  -> v2.5.0-rc7
2025-08-26T20:04:59.2142997Z  * [new tag]                 v2.5.0-rc8                  -> v2.5.0-rc8
2025-08-26T20:04:59.2143927Z  * [new tag]                 v2.5.0-rc9                  -> v2.5.0-rc9
2025-08-26T20:04:59.2144579Z  * [new tag]                 v2.5.1                      -> v2.5.1
2025-08-26T20:04:59.2145265Z  * [new tag]                 v2.5.1-rc1                  -> v2.5.1-rc1
2025-08-26T20:04:59.2146049Z  * [new tag]                 v2.6.0                      -> v2.6.0
2025-08-26T20:04:59.2147122Z  * [new tag]                 v2.6.0-rc1                  -> v2.6.0-rc1
2025-08-26T20:04:59.2148076Z  * [new tag]                 v2.6.0-rc2                  -> v2.6.0-rc2
2025-08-26T20:04:59.2149002Z  * [new tag]                 v2.6.0-rc3                  -> v2.6.0-rc3
2025-08-26T20:04:59.2149860Z  * [new tag]                 v2.6.0-rc4                  -> v2.6.0-rc4
2025-08-26T20:04:59.2150964Z  * [new tag]                 v2.6.0-rc5                  -> v2.6.0-rc5
2025-08-26T20:04:59.2152004Z  * [new tag]                 v2.6.0-rc6                  -> v2.6.0-rc6
2025-08-26T20:04:59.2152902Z  * [new tag]                 v2.6.0-rc7                  -> v2.6.0-rc7
2025-08-26T20:04:59.2153937Z  * [new tag]                 v2.6.0-rc8                  -> v2.6.0-rc8
2025-08-26T20:04:59.2154809Z  * [new tag]                 v2.6.0-rc9                  -> v2.6.0-rc9
2025-08-26T20:04:59.2155929Z  * [new tag]                 v2.7.0                      -> v2.7.0
2025-08-26T20:04:59.2156781Z  * [new tag]                 v2.7.0-rc1                  -> v2.7.0-rc1
2025-08-26T20:04:59.2157497Z  * [new tag]                 v2.7.0-rc10                 -> v2.7.0-rc10
2025-08-26T20:04:59.2158553Z  * [new tag]                 v2.7.0-rc2                  -> v2.7.0-rc2
2025-08-26T20:04:59.2159465Z  * [new tag]                 v2.7.0-rc3                  -> v2.7.0-rc3
2025-08-26T20:04:59.2160405Z  * [new tag]                 v2.7.0-rc4                  -> v2.7.0-rc4
2025-08-26T20:04:59.2161156Z  * [new tag]                 v2.7.0-rc5                  -> v2.7.0-rc5
2025-08-26T20:04:59.2162187Z  * [new tag]                 v2.7.0-rc6                  -> v2.7.0-rc6
2025-08-26T20:04:59.2163120Z  * [new tag]                 v2.7.0-rc7                  -> v2.7.0-rc7
2025-08-26T20:04:59.2163889Z  * [new tag]                 v2.7.0-rc8                  -> v2.7.0-rc8
2025-08-26T20:04:59.2164967Z  * [new tag]                 v2.7.0-rc9                  -> v2.7.0-rc9
2025-08-26T20:04:59.2165522Z  * [new tag]                 v2.7.1                      -> v2.7.1
2025-08-26T20:04:59.2166489Z  * [new tag]                 v2.7.1-rc1                  -> v2.7.1-rc1
2025-08-26T20:04:59.2167429Z  * [new tag]                 v2.7.1-rc2                  -> v2.7.1-rc2
2025-08-26T20:04:59.2168501Z  * [new tag]                 v2.7.1-rc3                  -> v2.7.1-rc3
2025-08-26T20:04:59.2169444Z  * [new tag]                 v2.7.1-rc4                  -> v2.7.1-rc4
2025-08-26T20:04:59.2170337Z  * [new tag]                 v2.7.1-rc5                  -> v2.7.1-rc5
2025-08-26T20:04:59.2170935Z  * [new tag]                 v2.8.0                      -> v2.8.0
2025-08-26T20:04:59.2171967Z  * [new tag]                 v2.8.0-rc1                  -> v2.8.0-rc1
2025-08-26T20:04:59.2172822Z  * [new tag]                 v2.8.0-rc2                  -> v2.8.0-rc2
2025-08-26T20:04:59.2173837Z  * [new tag]                 v2.8.0-rc3                  -> v2.8.0-rc3
2025-08-26T20:04:59.2174773Z  * [new tag]                 v2.8.0-rc4                  -> v2.8.0-rc4
2025-08-26T20:04:59.2175691Z  * [new tag]                 v2.8.0-rc5                  -> v2.8.0-rc5
2025-08-26T20:04:59.2176658Z  * [new tag]                 v2.8.0-rc6                  -> v2.8.0-rc6
2025-08-26T20:04:59.2177559Z  * [new tag]                 v2.8.0-rc7                  -> v2.8.0-rc7
2025-08-26T20:04:59.2178442Z  * [new tag]                 v2.8.0-rc8                  -> v2.8.0-rc8
2025-08-26T20:04:59.2179293Z  * [new tag]                 whc_flight_1                -> whc_flight_1
2025-08-26T20:04:59.2180241Z  * [new tag]                 whc_flight_2                -> whc_flight_2
2025-08-26T20:04:59.2180944Z  * [new tag]                 whc_flight_4                -> whc_flight_4
2025-08-26T20:04:59.2838643Z [command]/usr/bin/git rev-parse --verify --quiet 262640fd220236042fbf4443cc163c8838c84c3d^{object}
2025-08-26T20:04:59.2864641Z 262640fd220236042fbf4443cc163c8838c84c3d
2025-08-26T20:04:59.2868977Z ##[endgroup]
2025-08-26T20:04:59.2869415Z ##[group]Determining the checkout info
2025-08-26T20:04:59.2871082Z ##[endgroup]
2025-08-26T20:04:59.2876540Z [command]/usr/bin/git sparse-checkout disable
2025-08-26T20:04:59.2914271Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig
2025-08-26T20:04:59.2937467Z ##[group]Checking out the ref
2025-08-26T20:04:59.2940585Z [command]/usr/bin/git checkout --progress --force 262640fd220236042fbf4443cc163c8838c84c3d
2025-08-26T20:05:00.3238581Z Updating files:  85% (16555/19395)
2025-08-26T20:05:00.3382363Z Updating files:  86% (16680/19395)
2025-08-26T20:05:00.3516056Z Updating files:  87% (16874/19395)
2025-08-26T20:05:00.3620337Z Updating files:  88% (17068/19395)
2025-08-26T20:05:00.3742076Z Updating files:  89% (17262/19395)
2025-08-26T20:05:00.3902045Z Updating files:  90% (17456/19395)
2025-08-26T20:05:00.4023158Z Updating files:  91% (17650/19395)
2025-08-26T20:05:00.4149102Z Updating files:  92% (17844/19395)
2025-08-26T20:05:00.4328504Z Updating files:  93% (18038/19395)
2025-08-26T20:05:00.4516857Z Updating files:  94% (18232/19395)
2025-08-26T20:05:00.4688806Z Updating files:  95% (18426/19395)
2025-08-26T20:05:00.4831726Z Updating files:  96% (18620/19395)
2025-08-26T20:05:00.5011712Z Updating files:  97% (18814/19395)
2025-08-26T20:05:00.5255015Z Updating files:  98% (19008/19395)
2025-08-26T20:05:00.5402757Z Updating files:  99% (19202/19395)
2025-08-26T20:05:00.5403327Z Updating files: 100% (19395/19395)
2025-08-26T20:05:00.5403846Z Updating files: 100% (19395/19395), done.
2025-08-26T20:05:00.5671784Z Note: switching to '262640fd220236042fbf4443cc163c8838c84c3d'.
2025-08-26T20:05:00.5672406Z 
2025-08-26T20:05:00.5672629Z You are in 'detached HEAD' state. You can look around, make experimental
2025-08-26T20:05:00.5673439Z changes and commit them, and you can discard any commits you make in this
2025-08-26T20:05:00.5674014Z state without impacting any branches by switching back to a branch.
2025-08-26T20:05:00.5674363Z 
2025-08-26T20:05:00.5674574Z If you want to create a new branch to retain commits you create, you may
2025-08-26T20:05:00.5675100Z do so (now or later) by using -c with the switch command. Example:
2025-08-26T20:05:00.5675418Z 
2025-08-26T20:05:00.5675533Z   git switch -c <new-branch-name>
2025-08-26T20:05:00.5675736Z 
2025-08-26T20:05:00.5675857Z Or undo this operation with:
2025-08-26T20:05:00.5676042Z 
2025-08-26T20:05:00.5676148Z   git switch -
2025-08-26T20:05:00.5676285Z 
2025-08-26T20:05:00.5676526Z Turn off this advice by setting config variable advice.detachedHead to false
2025-08-26T20:05:00.5676893Z 
2025-08-26T20:05:00.5677134Z HEAD is now at 262640fd220 [ROCm][CI] restore test_flex_attention tests (#161519)
2025-08-26T20:05:00.5738395Z ##[endgroup]
2025-08-26T20:05:00.5738851Z ##[group]Setting up auth for fetching submodules
2025-08-26T20:05:00.5744541Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic ***
2025-08-26T20:05:00.5790354Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf
2025-08-26T20:05:00.5816173Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com:
2025-08-26T20:05:00.5843300Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com:
2025-08-26T20:05:00.5864353Z ##[endgroup]
2025-08-26T20:05:00.5864769Z ##[group]Fetching submodules
2025-08-26T20:05:00.5867641Z [command]/usr/bin/git submodule sync --recursive
2025-08-26T20:05:00.6170246Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive
2025-08-26T20:05:00.6468919Z Submodule 'android/libs/fbjni' (https://github.com/facebookincubator/fbjni.git) registered for path 'android/libs/fbjni'
2025-08-26T20:05:00.6472084Z Submodule 'third_party/NNPACK_deps/FP16' (https://github.com/Maratyszcza/FP16.git) registered for path 'third_party/FP16'
2025-08-26T20:05:00.6475715Z Submodule 'third_party/NNPACK_deps/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'third_party/FXdiv'
2025-08-26T20:05:00.6479353Z Submodule 'third_party/NNPACK' (https://github.com/Maratyszcza/NNPACK.git) registered for path 'third_party/NNPACK'
2025-08-26T20:05:00.6483104Z Submodule 'third_party/NVTX' (https://github.com/NVIDIA/NVTX.git) registered for path 'third_party/NVTX'
2025-08-26T20:05:00.6487267Z Submodule 'third_party/VulkanMemoryAllocator' (https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator.git) registered for path 'third_party/VulkanMemoryAllocator'
2025-08-26T20:05:00.6490835Z Submodule 'third_party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'third_party/XNNPACK'
2025-08-26T20:05:00.6494771Z Submodule 'third_party/aiter' (https://github.com/ROCm/aiter.git) registered for path 'third_party/aiter'
2025-08-26T20:05:00.6498946Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/benchmark'
2025-08-26T20:05:00.6503257Z Submodule 'third_party/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/composable_kernel'
2025-08-26T20:05:00.6507831Z Submodule 'third_party/cpp-httplib' (https://github.com/yhirose/cpp-httplib.git) registered for path 'third_party/cpp-httplib'
2025-08-26T20:05:00.6512114Z Submodule 'third_party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'third_party/cpuinfo'
2025-08-26T20:05:00.6516754Z Submodule 'third_party/cudnn_frontend' (https://github.com/NVIDIA/cudnn-frontend.git) registered for path 'third_party/cudnn_frontend'
2025-08-26T20:05:00.6521198Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/cutlass'
2025-08-26T20:05:00.6525974Z Submodule 'third_party/fbgemm' (https://github.com/pytorch/fbgemm) registered for path 'third_party/fbgemm'
2025-08-26T20:05:00.6531344Z Submodule 'third_party/flash-attention' (https://github.com/Dao-AILab/flash-attention.git) registered for path 'third_party/flash-attention'
2025-08-26T20:05:00.6537721Z Submodule 'third_party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'third_party/flatbuffers'
2025-08-26T20:05:00.6543052Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/fmt'
2025-08-26T20:05:00.6548397Z Submodule 'third_party/gemmlowp/gemmlowp' (https://github.com/google/gemmlowp.git) registered for path 'third_party/gemmlowp/gemmlowp'
2025-08-26T20:05:00.6553468Z Submodule 'third_party/gloo' (https://github.com/pytorch/gloo) registered for path 'third_party/gloo'
2025-08-26T20:05:00.6558789Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest'
2025-08-26T20:05:00.6564026Z Submodule 'third_party/ideep' (https://github.com/intel/ideep) registered for path 'third_party/ideep'
2025-08-26T20:05:00.6569424Z Submodule 'third_party/ittapi' (https://github.com/intel/ittapi.git) registered for path 'third_party/ittapi'
2025-08-26T20:05:00.6574950Z Submodule 'third_party/kineto' (https://github.com/pytorch/kineto) registered for path 'third_party/kineto'
2025-08-26T20:05:00.6938516Z Submodule 'third_party/kleidiai' (https://github.com/ARM-software/kleidiai.git) registered for path 'third_party/kleidiai'
2025-08-26T20:05:00.6945875Z Submodule 'third_party/mimalloc' (https://github.com/microsoft/mimalloc.git) registered for path 'third_party/mimalloc'
2025-08-26T20:05:00.6951621Z Submodule 'third_party/nlohmann' (https://github.com/nlohmann/json.git) registered for path 'third_party/nlohmann'
2025-08-26T20:05:00.6957361Z Submodule 'third_party/onnx' (https://github.com/onnx/onnx.git) registered for path 'third_party/onnx'
2025-08-26T20:05:00.6963670Z Submodule 'third_party/opentelemetry-cpp' (https://github.com/open-telemetry/opentelemetry-cpp.git) registered for path 'third_party/opentelemetry-cpp'
2025-08-26T20:05:00.6969488Z Submodule 'third_party/pocketfft' (https://github.com/mreineck/pocketfft) registered for path 'third_party/pocketfft'
2025-08-26T20:05:00.6975653Z Submodule 'third_party/protobuf' (https://github.com/protocolbuffers/protobuf.git) registered for path 'third_party/protobuf'
2025-08-26T20:05:00.6981909Z Submodule 'third_party/NNPACK_deps/psimd' (https://github.com/Maratyszcza/psimd.git) registered for path 'third_party/psimd'
2025-08-26T20:05:00.6988520Z Submodule 'third_party/NNPACK_deps/pthreadpool' (https://github.com/Maratyszcza/pthreadpool.git) registered for path 'third_party/pthreadpool'
2025-08-26T20:05:00.6995253Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/pybind11'
2025-08-26T20:05:00.7001556Z Submodule 'third_party/python-peachpy' (https://github.com/malfet/PeachPy.git) registered for path 'third_party/python-peachpy'
2025-08-26T20:05:00.7008066Z Submodule 'third_party/sleef' (https://github.com/shibatch/sleef) registered for path 'third_party/sleef'
2025-08-26T20:05:00.7014906Z Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe.git) registered for path 'third_party/tensorpipe'
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2025-08-26T20:05:00.9654308Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FXdiv'...
2025-08-26T20:05:00.9655605Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FP16'...
2025-08-26T20:05:00.9693950Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/composable_kernel'...
2025-08-26T20:05:10.3840995Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NNPACK'...
2025-08-26T20:05:10.3842253Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NVTX'...
2025-08-26T20:05:10.3843796Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/benchmark'...
2025-08-26T20:05:10.3845216Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpuinfo'...
2025-08-26T20:05:10.3846622Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpp-httplib'...
2025-08-26T20:05:10.3847994Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cudnn_frontend'...
2025-08-26T20:05:10.3849482Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention'...
2025-08-26T20:05:10.3851059Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/VulkanMemoryAllocator'...
2025-08-26T20:05:10.3852652Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gemmlowp/gemmlowp'...
2025-08-26T20:05:10.3854111Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gloo'...
2025-08-26T20:05:10.3855553Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flatbuffers'...
2025-08-26T20:05:10.3856888Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cutlass'...
2025-08-26T20:05:10.3858221Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep'...
2025-08-26T20:05:10.3859533Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fmt'...
2025-08-26T20:05:10.3860859Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ittapi'...
2025-08-26T20:05:10.3862223Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kleidiai'...
2025-08-26T20:05:10.3863613Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/googletest'...
2025-08-26T20:05:10.3864985Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm'...
2025-08-26T20:05:10.4104043Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/mimalloc'...
2025-08-26T20:05:11.2013244Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pocketfft'...
2025-08-26T20:05:11.2058251Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp'...
2025-08-26T20:05:40.4210823Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter'...
2025-08-26T20:05:40.4212268Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/psimd'...
2025-08-26T20:05:40.4213663Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto'...
2025-08-26T20:05:40.4215300Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pthreadpool'...
2025-08-26T20:05:40.4216855Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/python-peachpy'...
2025-08-26T20:05:40.4218379Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe'...
2025-08-26T20:05:40.4219850Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/sleef'...
2025-08-26T20:05:40.4221271Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pybind11'...
2025-08-26T20:05:40.4222925Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx'...
2025-08-26T20:05:40.4224335Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/nlohmann'...
2025-08-26T20:05:40.4301115Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/XNNPACK'...
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2025-08-26T20:05:41.7339502Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f'
2025-08-26T20:05:41.7465705Z Submodule path 'third_party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3'
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2025-08-26T20:05:41.7829168Z Submodule path 'third_party/NNPACK': checked out 'c07e3a0400713d546e0dea2d5466dd22ea389c73'
2025-08-26T20:05:41.8607305Z Submodule path 'third_party/NVTX': checked out '2942f167cc30c5e3a44a2aecd5b0d9c07ff61a07'
2025-08-26T20:05:41.9182378Z Submodule path 'third_party/VulkanMemoryAllocator': checked out '1d8f600fd424278486eade7ed3e877c99f0846b1'
2025-08-26T20:05:42.6535317Z Submodule path 'third_party/XNNPACK': checked out '51a0103656eff6fc9bfd39a4597923c4b542c883'
2025-08-26T20:05:42.8093526Z Submodule path 'third_party/aiter': checked out '01aae101b9e5e94d6c16a9514c9fb8df99c93150'
2025-08-26T20:05:42.8113385Z Submodule '3rdparty/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/aiter/3rdparty/composable_kernel'
2025-08-26T20:05:42.8140063Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter/3rdparty/composable_kernel'...
2025-08-26T20:05:46.8118744Z Submodule path 'third_party/aiter/3rdparty/composable_kernel': checked out 'cffe8fa2a442ac8e80dd236a1a5d24fe3d7e0cbf'
2025-08-26T20:05:46.8359078Z Submodule path 'third_party/benchmark': checked out '299e5928955cc62af9968370293b916f5130916f'
2025-08-26T20:05:47.1601278Z Submodule path 'third_party/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977'
2025-08-26T20:05:47.2155842Z Submodule path 'third_party/cpp-httplib': checked out '3af7f2c16147f3fbc6e4d717032daf505dc1652c'
2025-08-26T20:05:47.3141134Z Submodule path 'third_party/cpuinfo': checked out '5e3d2445e6a84d9599bee2bf78edbb4d80865e1d'
2025-08-26T20:05:47.3586783Z Submodule path 'third_party/cudnn_frontend': checked out 'f937055efc6d414d11f4c6577e3977fe74f35fb6'
2025-08-26T20:05:47.9899141Z Submodule path 'third_party/cutlass': checked out 'e51efbfe18fe4f4cbb66ab814c55bf4aa0185491'
2025-08-26T20:05:48.1317770Z Submodule path 'third_party/fbgemm': checked out '21c7d30c526c0f1ad873ecc632dca6cfa8a69067'
2025-08-26T20:05:48.1339732Z Submodule 'external/asmjit' (https://github.com/asmjit/asmjit.git) registered for path 'third_party/fbgemm/external/asmjit'
2025-08-26T20:05:48.1342819Z Submodule 'external/composable_kernel' (https://github.com/jwfromm/composable_kernel.git) registered for path 'third_party/fbgemm/external/composable_kernel'
2025-08-26T20:05:48.1345556Z Submodule 'external/cpuinfo' (https://github.com/pytorch/cpuinfo) registered for path 'third_party/fbgemm/external/cpuinfo'
2025-08-26T20:05:48.1348571Z Submodule 'external/cutlass' (https://github.com/jwfromm/cutlass) registered for path 'third_party/fbgemm/external/cutlass'
2025-08-26T20:05:48.1351681Z Submodule 'external/googletest' (https://github.com/google/googletest) registered for path 'third_party/fbgemm/external/googletest'
2025-08-26T20:05:48.1354972Z Submodule 'external/hipify_torch' (https://github.com/ROCmSoftwarePlatform/hipify_torch.git) registered for path 'third_party/fbgemm/external/hipify_torch'
2025-08-26T20:05:48.1358036Z Submodule 'external/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/fbgemm/external/json'
2025-08-26T20:05:48.1387946Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/asmjit'...
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2025-08-26T20:05:50.2340885Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/composable_kernel'...
2025-08-26T20:05:50.4349809Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/googletest'...
2025-08-26T20:05:50.5351792Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cutlass'...
2025-08-26T20:05:51.3941438Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/json'...
2025-08-26T20:05:57.0808589Z Submodule path 'third_party/fbgemm/external/asmjit': checked out 'a3199e8857792cd10b7589ff5d58343d2c9008ea'
2025-08-26T20:05:57.3439877Z Submodule path 'third_party/fbgemm/external/composable_kernel': checked out 'b1281b8b08d973a7064f864f47eeb30f3e2596e9'
2025-08-26T20:05:57.4446539Z Submodule path 'third_party/fbgemm/external/cpuinfo': checked out '6543fec09b2f04ac4a666882998b534afc9c1349'
2025-08-26T20:05:58.0636099Z Submodule path 'third_party/fbgemm/external/cutlass': checked out 'b40777404c174b9694a870bff5c13ce6b7f656ad'
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2025-08-26T20:05:58.1231377Z Submodule path 'third_party/fbgemm/external/hipify_torch': checked out 'a4337c69fe0e2552a7b7b0669178926beeed828c'
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2025-08-26T20:05:58.2968215Z Submodule path 'third_party/flash-attention': checked out '979702c87a8713a8e0a5e9fee122b90d2ef13be5'
2025-08-26T20:05:58.2989274Z Submodule 'csrc/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/flash-attention/csrc/composable_kernel'
2025-08-26T20:05:58.2991840Z Submodule 'csrc/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/flash-attention/csrc/cutlass'
2025-08-26T20:05:58.3019850Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/composable_kernel'...
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2025-08-26T20:06:02.5277297Z Submodule path 'third_party/flash-attention/csrc/composable_kernel': checked out '888317e698e9803c62bd38568abc9e05d7709f33'
2025-08-26T20:06:03.0922178Z Submodule path 'third_party/flash-attention/csrc/cutlass': checked out 'c506e16788cb08416a4a57e11a9067beeee29420'
2025-08-26T20:06:03.2338175Z Submodule path 'third_party/flatbuffers': checked out 'a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757'
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2025-08-26T20:06:03.3101311Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350'
2025-08-26T20:06:03.3361794Z Submodule path 'third_party/gloo': checked out 'c7b7b022c124d9643957d9bd55f57ac59fce8fa2'
2025-08-26T20:06:03.3824748Z Submodule path 'third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723'
2025-08-26T20:06:03.3962184Z Submodule path 'third_party/ideep': checked out '719d8e6cd7f7a0e01b155657526d693acf97c2b3'
2025-08-26T20:06:03.3978758Z Submodule 'mkl-dnn' (https://github.com/intel/mkl-dnn.git) registered for path 'third_party/ideep/mkl-dnn'
2025-08-26T20:06:03.4004221Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep/mkl-dnn'...
2025-08-26T20:06:16.9080368Z Submodule path 'third_party/ideep/mkl-dnn': checked out '8d263e693366ef8db40acc569cc7d8edf644556d'
2025-08-26T20:06:16.9287320Z Submodule path 'third_party/ittapi': checked out 'dec1d23ca65ab069d225dfe40dea14f455170959'
2025-08-26T20:06:17.0190999Z Submodule path 'third_party/kineto': checked out '5e7501833f1021ce6f618572d3baf657b6319658'
2025-08-26T20:06:17.0208829Z Submodule 'libkineto/third_party/dynolog' (https://github.com/facebookincubator/dynolog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog'
2025-08-26T20:06:17.0211563Z Submodule 'libkineto/third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/fmt'
2025-08-26T20:06:17.0214751Z Submodule 'libkineto/third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/googletest'
2025-08-26T20:06:17.0244237Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog'...
2025-08-26T20:06:18.2293588Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/fmt'...
2025-08-26T20:06:19.0944134Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/googletest'...
2025-08-26T20:06:19.1804169Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out '7d04a0053a845370ae06ce317a22a48e9edcc74e'
2025-08-26T20:06:19.1823709Z Submodule 'third_party/DCGM' (https://github.com/NVIDIA/DCGM.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-08-26T20:06:19.1826287Z Submodule 'third_party/cpr' (https://github.com/libcpr/cpr.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-08-26T20:06:19.1829382Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-08-26T20:06:19.1832636Z Submodule 'third_party/gflags' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-08-26T20:06:19.1835889Z Submodule 'third_party/glog' (https://github.com/google/glog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-08-26T20:06:19.1839366Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-08-26T20:06:19.1843122Z Submodule 'third_party/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-08-26T20:06:19.1846708Z Submodule 'third_party/pfs' (https://github.com/dtrugman/pfs.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-08-26T20:06:19.1879843Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'...
2025-08-26T20:06:21.2794549Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'...
2025-08-26T20:06:21.2799317Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'...
2025-08-26T20:06:21.2801742Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'...
2025-08-26T20:06:21.2804144Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/glog'...
2025-08-26T20:06:21.3296550Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'...
2025-08-26T20:06:21.6039411Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'...
2025-08-26T20:06:21.7040855Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/json'...
2025-08-26T20:06:28.2226275Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9'
2025-08-26T20:06:28.2409662Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400'
2025-08-26T20:06:28.2779118Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05'
2025-08-26T20:06:28.2918955Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067'
2025-08-26T20:06:28.2934470Z Submodule 'doc' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-08-26T20:06:28.2961659Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'...
2025-08-26T20:06:28.6056586Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc': checked out '8411df715cf522606e3b1aca386ddfc0b63d34b4'
2025-08-26T20:06:28.6245281Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog': checked out 'b33e3bad4c46c8a6345525fd822af355e5ef9446'
2025-08-26T20:06:28.6658332Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest': checked out '58d77fa8070e8cec2dc1ed015d66b454c8d78850'
2025-08-26T20:06:28.7638745Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json': checked out '4f8fba14066156b73f1189a2b8bd568bde5284c5'
2025-08-26T20:06:28.7812020Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs': checked out 'f68a2fa8ea36c783bdd760371411fcb495aa3150'
2025-08-26T20:06:28.8167249Z Submodule path 'third_party/kineto/libkineto/third_party/fmt': checked out '0041a40c1350ba702d475b9c4ad62da77caea164'
2025-08-26T20:06:28.8756376Z Submodule path 'third_party/kineto/libkineto/third_party/googletest': checked out '7aca84427f224eeed3144123d5230d5871e93347'
2025-08-26T20:06:28.9188206Z Submodule path 'third_party/kleidiai': checked out 'cca02c2f69dd18e1f12647c1c0bdc8cf90e680c7'
2025-08-26T20:06:28.9580875Z Submodule path 'third_party/mimalloc': checked out 'fbd8b99c2b828428947d70fdc046bb55609be93e'
2025-08-26T20:06:29.0687200Z Submodule path 'third_party/nlohmann': checked out '55f93686c01528224f448c19128836e7df245f72'
2025-08-26T20:06:29.4744982Z Submodule path 'third_party/onnx': checked out 'e709452ef2bbc1d113faf678c24e6d3467696e83'
2025-08-26T20:06:29.4785592Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/onnx/third_party/pybind11'
2025-08-26T20:06:29.4813359Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx/third_party/pybind11'...
2025-08-26T20:06:30.4855583Z Submodule path 'third_party/onnx/third_party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4'
2025-08-26T20:06:30.5574469Z Submodule path 'third_party/opentelemetry-cpp': checked out 'a799f4aed9c94b765dcdaabaeab7d5e7e2310878'
2025-08-26T20:06:30.5594593Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark) registered for path 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-08-26T20:06:30.5597338Z Submodule 'third_party/googletest' (https://github.com/google/googletest) registered for path 'third_party/opentelemetry-cpp/third_party/googletest'
2025-08-26T20:06:30.5600165Z Submodule 'third_party/ms-gsl' (https://github.com/microsoft/GSL) registered for path 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-08-26T20:06:30.5603386Z Submodule 'third_party/nlohmann-json' (https://github.com/nlohmann/json) registered for path 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-08-26T20:06:30.5606897Z Submodule 'third_party/opentelemetry-proto' (https://github.com/open-telemetry/opentelemetry-proto) registered for path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-08-26T20:06:30.5610088Z Submodule 'third_party/opentracing-cpp' (https://github.com/opentracing/opentracing-cpp.git) registered for path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-08-26T20:06:30.5613334Z Submodule 'third_party/prometheus-cpp' (https://github.com/jupp0r/prometheus-cpp) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-08-26T20:06:30.5616658Z Submodule 'tools/vcpkg' (https://github.com/Microsoft/vcpkg) registered for path 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-08-26T20:06:30.5647058Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/benchmark'...
2025-08-26T20:06:31.1175158Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentracing-cpp'...
2025-08-26T20:06:31.1177279Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentelemetry-proto'...
2025-08-26T20:06:31.1178655Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp'...
2025-08-26T20:06:31.1179758Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/ms-gsl'...
2025-08-26T20:06:31.2176022Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/googletest'...
2025-08-26T20:06:32.4400498Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/nlohmann-json'...
2025-08-26T20:06:42.2612280Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/tools/vcpkg'...
2025-08-26T20:06:42.2806108Z Submodule path 'third_party/opentelemetry-cpp/third_party/benchmark': checked out 'd572f4777349d43653b21d6c2fc63020ab326db2'
2025-08-26T20:06:42.3217318Z Submodule path 'third_party/opentelemetry-cpp/third_party/googletest': checked out 'b796f7d44681514f58a683a3a71ff17c94edb0c1'
2025-08-26T20:06:42.3385832Z Submodule path 'third_party/opentelemetry-cpp/third_party/ms-gsl': checked out '6f4529395c5b7c2d661812257cd6780c67e54afa'
2025-08-26T20:06:42.4431435Z Submodule path 'third_party/opentelemetry-cpp/third_party/nlohmann-json': checked out 'bc889afb4c5bf1c0d8ee29ef35eaaf4c8bef8a5d'
2025-08-26T20:06:42.4573383Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto': checked out '4ca4f0335c63cda7ab31ea7ed70d6553aee14dce'
2025-08-26T20:06:42.4722995Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp': checked out '06b57f48ded1fa3bdd3d4346f6ef29e40e08eaf5'
2025-08-26T20:06:42.4883046Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp': checked out 'c9ffcdda9086ffd9e1283ea7a0276d831f3c8a8d'
2025-08-26T20:06:42.4899518Z Submodule 'civetweb' (https://github.com/civetweb/civetweb.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-08-26T20:06:42.4902089Z Submodule 'googletest' (https://github.com/google/googletest.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-08-26T20:06:42.4928586Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'...
2025-08-26T20:06:44.8737938Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'...
2025-08-26T20:06:45.1243274Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb': checked out 'eefb26f82b233268fc98577d265352720d477ba4'
2025-08-26T20:06:45.1718794Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929'
2025-08-26T20:06:45.6491437Z Submodule path 'third_party/opentelemetry-cpp/tools/vcpkg': checked out '8eb57355a4ffb410a2e94c07b4dca2dffbee8e50'
2025-08-26T20:06:45.6614491Z Submodule path 'third_party/pocketfft': checked out '0fa0ef591e38c2758e3184c6c23e497b9f732ffa'
2025-08-26T20:06:45.9340109Z Submodule path 'third_party/protobuf': checked out 'd1eca4e4b421cd2997495c4b4e65cea6be4e9b8a'
2025-08-26T20:06:45.9365616Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/protobuf/third_party/benchmark'
2025-08-26T20:06:45.9367996Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/protobuf/third_party/googletest'
2025-08-26T20:06:45.9396569Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf/third_party/benchmark'...
2025-08-26T20:06:46.5105221Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf/third_party/googletest'...
2025-08-26T20:06:47.0728398Z Submodule path 'third_party/protobuf/third_party/benchmark': checked out '5b7683f49e1e9223cf9927b24f6fd3d6bd82e3f8'
2025-08-26T20:06:47.1460355Z Submodule path 'third_party/protobuf/third_party/googletest': checked out '5ec7f0c4a113e2f18ac2c6cc7df51ad6afc24081'
2025-08-26T20:06:47.1559853Z Submodule path 'third_party/psimd': checked out '072586a71b55b7f8c584153d223e95687148a900'
2025-08-26T20:06:47.1687580Z Submodule path 'third_party/pthreadpool': checked out '4fe0e1e183925bf8cfa6aae24237e724a96479b8'
2025-08-26T20:06:47.2091795Z Submodule path 'third_party/pybind11': checked out 'f5fbe867d2d26e4a0a9177a51f6e568868ad3dc8'
2025-08-26T20:06:47.2386410Z Submodule path 'third_party/python-peachpy': checked out 'f45429b087dd7d5bc78bb40dc7cf06425c252d67'
2025-08-26T20:06:47.2828340Z Submodule path 'third_party/sleef': checked out '5a1d179df9cf652951b59010a2d2075372d67f68'
2025-08-26T20:06:47.3105073Z Submodule path 'third_party/tensorpipe': checked out 'af0118d13e52f5a08841464a768e01a0bf3e3075'
2025-08-26T20:06:47.3123175Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/tensorpipe/third_party/googletest'
2025-08-26T20:06:47.3125454Z Submodule 'third_party/libnop' (https://github.com/google/libnop.git) registered for path 'third_party/tensorpipe/third_party/libnop'
2025-08-26T20:06:47.3128002Z Submodule 'third_party/libuv' (https://github.com/libuv/libuv.git) registered for path 'third_party/tensorpipe/third_party/libuv'
2025-08-26T20:06:47.3130822Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/tensorpipe/third_party/pybind11'
2025-08-26T20:06:47.3159159Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/googletest'...
2025-08-26T20:06:48.9604869Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/libnop'...
2025-08-26T20:06:48.9606767Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/pybind11'...
2025-08-26T20:06:49.0605447Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/libuv'...
2025-08-26T20:06:49.2306132Z Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e'
2025-08-26T20:06:49.2466589Z Submodule path 'third_party/tensorpipe/third_party/libnop': checked out '910b55815be16109f04f4180e9adee14fb4ce281'
2025-08-26T20:06:49.3206069Z Submodule path 'third_party/tensorpipe/third_party/libuv': checked out '5152db2cbfeb5582e9c27c5ea1dba2cd9e10759b'
2025-08-26T20:06:49.3500818Z Submodule path 'third_party/tensorpipe/third_party/pybind11': checked out 'a23996fce38ff6ccfbcdc09f1e63f2c4be5ea2ef'
2025-08-26T20:06:49.3517232Z Submodule 'tools/clang' (https://github.com/wjakob/clang-cindex-python3) registered for path 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-08-26T20:06:49.3544488Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/pybind11/tools/clang'...
2025-08-26T20:06:49.6048235Z Submodule path 'third_party/tensorpipe/third_party/pybind11/tools/clang': checked out '6a00cbc4a9b8e68b71caf7f774b3f9c753ae84d5'
2025-08-26T20:06:49.6084702Z [command]/usr/bin/git submodule foreach --recursive git config --local gc.auto 0
2025-08-26T20:06:49.6388521Z Entering 'android/libs/fbjni'
2025-08-26T20:06:49.6431304Z Entering 'third_party/FP16'
2025-08-26T20:06:49.6474754Z Entering 'third_party/FXdiv'
2025-08-26T20:06:49.6518513Z Entering 'third_party/NNPACK'
2025-08-26T20:06:49.6561176Z Entering 'third_party/NVTX'
2025-08-26T20:06:49.6604600Z Entering 'third_party/VulkanMemoryAllocator'
2025-08-26T20:06:49.6649129Z Entering 'third_party/XNNPACK'
2025-08-26T20:06:49.6707819Z Entering 'third_party/aiter'
2025-08-26T20:06:49.6756889Z Entering 'third_party/aiter/3rdparty/composable_kernel'
2025-08-26T20:06:49.6807355Z Entering 'third_party/benchmark'
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2025-08-26T20:06:49.6901140Z Entering 'third_party/cpp-httplib'
2025-08-26T20:06:49.6943974Z Entering 'third_party/cpuinfo'
2025-08-26T20:06:49.6986410Z Entering 'third_party/cudnn_frontend'
2025-08-26T20:06:49.7028600Z Entering 'third_party/cutlass'
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2025-08-26T20:06:49.9145254Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
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2025-08-26T20:06:49.9847308Z ##[endgroup]
2025-08-26T20:06:49.9847935Z ##[group]Persisting credentials for submodules
2025-08-26T20:06:49.9853488Z [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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2025-08-26T20:06:50.3392748Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
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2025-08-26T20:06:50.3553658Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-08-26T20:06:50.3610620Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-08-26T20:06:50.3667082Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-08-26T20:06:50.3722601Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
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2025-08-26T20:06:50.4080336Z Entering 'third_party/pthreadpool'
2025-08-26T20:06:50.4136399Z Entering 'third_party/pybind11'
2025-08-26T20:06:50.4193164Z Entering 'third_party/python-peachpy'
2025-08-26T20:06:50.4249471Z Entering 'third_party/sleef'
2025-08-26T20:06:50.4304429Z Entering 'third_party/tensorpipe'
2025-08-26T20:06:50.4360805Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-08-26T20:06:50.4414104Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-08-26T20:06:50.4466968Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-08-26T20:06:50.4520475Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-08-26T20:06:50.4573737Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-08-26T20:06:50.4653670Z [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"
2025-08-26T20:06:50.4949947Z Entering 'android/libs/fbjni'
2025-08-26T20:06:50.5001328Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/android/libs/fbjni/config	remote.origin.url
2025-08-26T20:06:50.5018383Z Entering 'third_party/FP16'
2025-08-26T20:06:50.5071555Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FP16/config	remote.origin.url
2025-08-26T20:06:50.5089331Z Entering 'third_party/FXdiv'
2025-08-26T20:06:50.5140541Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FXdiv/config	remote.origin.url
2025-08-26T20:06:50.5158237Z Entering 'third_party/NNPACK'
2025-08-26T20:06:50.5210250Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK/config	remote.origin.url
2025-08-26T20:06:50.5227976Z Entering 'third_party/NVTX'
2025-08-26T20:06:50.5278827Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NVTX/config	remote.origin.url
2025-08-26T20:06:50.5296455Z Entering 'third_party/VulkanMemoryAllocator'
2025-08-26T20:06:50.5347940Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/VulkanMemoryAllocator/config	remote.origin.url
2025-08-26T20:06:50.5364124Z Entering 'third_party/XNNPACK'
2025-08-26T20:06:50.5415085Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/XNNPACK/config	remote.origin.url
2025-08-26T20:06:50.5448491Z Entering 'third_party/aiter'
2025-08-26T20:06:50.5499990Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/aiter/config	remote.origin.url
2025-08-26T20:06:50.5517009Z Entering 'third_party/aiter/3rdparty/composable_kernel'
2025-08-26T20:06:50.5568402Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/aiter/modules/3rdparty/composable_kernel/config	remote.origin.url
2025-08-26T20:06:50.5593244Z Entering 'third_party/benchmark'
2025-08-26T20:06:50.5643777Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/benchmark/config	remote.origin.url
2025-08-26T20:06:50.5660532Z Entering 'third_party/composable_kernel'
2025-08-26T20:06:50.5715771Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/composable_kernel/config	remote.origin.url
2025-08-26T20:06:50.5741584Z Entering 'third_party/cpp-httplib'
2025-08-26T20:06:50.5791367Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/cpp-httplib/config	remote.origin.url
2025-08-26T20:06:50.5807202Z Entering 'third_party/cpuinfo'
2025-08-26T20:06:50.5857719Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/cpuinfo/config	remote.origin.url
2025-08-26T20:06:50.5874490Z Entering 'third_party/cudnn_frontend'
2025-08-26T20:06:50.5925329Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/cudnn_frontend/config	remote.origin.url
2025-08-26T20:06:50.5942331Z Entering 'third_party/cutlass'
2025-08-26T20:06:50.5994000Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/cutlass/config	remote.origin.url
2025-08-26T20:06:50.6019195Z Entering 'third_party/fbgemm'
2025-08-26T20:06:50.6071755Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/config	remote.origin.url
2025-08-26T20:06:50.6091503Z Entering 'third_party/fbgemm/external/asmjit'
2025-08-26T20:06:50.6141822Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/asmjit/config	remote.origin.url
2025-08-26T20:06:50.6157009Z Entering 'third_party/fbgemm/external/composable_kernel'
2025-08-26T20:06:50.6207610Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/composable_kernel/config	remote.origin.url
2025-08-26T20:06:50.6231374Z Entering 'third_party/fbgemm/external/cpuinfo'
2025-08-26T20:06:50.6281965Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/cpuinfo/config	remote.origin.url
2025-08-26T20:06:50.6297958Z Entering 'third_party/fbgemm/external/cutlass'
2025-08-26T20:06:50.6351314Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/cutlass/config	remote.origin.url
2025-08-26T20:06:50.6374575Z Entering 'third_party/fbgemm/external/googletest'
2025-08-26T20:06:50.6426342Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/googletest/config	remote.origin.url
2025-08-26T20:06:50.6443025Z Entering 'third_party/fbgemm/external/hipify_torch'
2025-08-26T20:06:50.6493122Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/hipify_torch/config	remote.origin.url
2025-08-26T20:06:50.6508047Z Entering 'third_party/fbgemm/external/json'
2025-08-26T20:06:50.6560240Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/json/config	remote.origin.url
2025-08-26T20:06:50.6578807Z Entering 'third_party/flash-attention'
2025-08-26T20:06:50.6630825Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/flash-attention/config	remote.origin.url
2025-08-26T20:06:50.6649321Z Entering 'third_party/flash-attention/csrc/composable_kernel'
2025-08-26T20:06:50.6702036Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/flash-attention/modules/csrc/composable_kernel/config	remote.origin.url
2025-08-26T20:06:50.6725563Z Entering 'third_party/flash-attention/csrc/cutlass'
2025-08-26T20:06:50.6776698Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/flash-attention/modules/csrc/cutlass/config	remote.origin.url
2025-08-26T20:06:50.6801986Z Entering 'third_party/flatbuffers'
2025-08-26T20:06:50.6854427Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/flatbuffers/config	remote.origin.url
2025-08-26T20:06:50.6873847Z Entering 'third_party/fmt'
2025-08-26T20:06:50.6925428Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fmt/config	remote.origin.url
2025-08-26T20:06:50.6943396Z Entering 'third_party/gemmlowp/gemmlowp'
2025-08-26T20:06:50.6996760Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/gemmlowp/gemmlowp/config	remote.origin.url
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2025-08-26T20:06:50.7064049Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/gloo/config	remote.origin.url
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2025-08-26T20:06:50.7203926Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/ideep/config	remote.origin.url
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2025-08-26T20:06:50.7271376Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/ideep/modules/mkl-dnn/config	remote.origin.url
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2025-08-26T20:06:50.7414633Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/config	remote.origin.url
2025-08-26T20:06:50.7430335Z Entering 'third_party/kineto/libkineto/third_party/dynolog'
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2025-08-26T20:06:50.7688706Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/fmt/config	remote.origin.url
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2025-08-26T20:06:50.7845841Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-08-26T20:06:50.7896869Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/glog/config	remote.origin.url
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2025-08-26T20:06:50.8745399Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/benchmark/config	remote.origin.url
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2025-08-26T20:06:50.8811253Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/googletest/config	remote.origin.url
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2025-08-26T20:06:50.8878550Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/ms-gsl/config	remote.origin.url
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2025-08-26T20:06:50.9150198Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/prometheus-cpp/config	remote.origin.url
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2025-08-26T20:06:50.9218202Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/prometheus-cpp/modules/civetweb/config	remote.origin.url
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2025-08-26T20:06:50.9287421Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/prometheus-cpp/modules/googletest/config	remote.origin.url
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2025-08-26T20:06:50.9358324Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/tools/vcpkg/config	remote.origin.url
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2025-08-26T20:06:51.0266461Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/libuv/config	remote.origin.url
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2025-08-26T20:06:51.1406275Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'git@github.com:'
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2025-08-26T20:06:51.4824505Z Entering 'third_party/pybind11'
2025-08-26T20:06:51.4867786Z Entering 'third_party/python-peachpy'
2025-08-26T20:06:51.4911117Z Entering 'third_party/sleef'
2025-08-26T20:06:51.4954517Z Entering 'third_party/tensorpipe'
2025-08-26T20:06:51.4997724Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-08-26T20:06:51.5039315Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-08-26T20:06:51.5080984Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-08-26T20:06:51.5121767Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-08-26T20:06:51.5165100Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-08-26T20:06:51.5224333Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:'
2025-08-26T20:06:51.5530013Z Entering 'android/libs/fbjni'
2025-08-26T20:06:51.5573924Z Entering 'third_party/FP16'
2025-08-26T20:06:51.5615796Z Entering 'third_party/FXdiv'
2025-08-26T20:06:51.5659628Z Entering 'third_party/NNPACK'
2025-08-26T20:06:51.5702815Z Entering 'third_party/NVTX'
2025-08-26T20:06:51.5747120Z Entering 'third_party/VulkanMemoryAllocator'
2025-08-26T20:06:51.5789053Z Entering 'third_party/XNNPACK'
2025-08-26T20:06:51.5846584Z Entering 'third_party/aiter'
2025-08-26T20:06:51.5889412Z Entering 'third_party/aiter/3rdparty/composable_kernel'
2025-08-26T20:06:51.5940575Z Entering 'third_party/benchmark'
2025-08-26T20:06:51.5982447Z Entering 'third_party/composable_kernel'
2025-08-26T20:06:51.6033650Z Entering 'third_party/cpp-httplib'
2025-08-26T20:06:51.6076514Z Entering 'third_party/cpuinfo'
2025-08-26T20:06:51.6119586Z Entering 'third_party/cudnn_frontend'
2025-08-26T20:06:51.6162308Z Entering 'third_party/cutlass'
2025-08-26T20:06:51.6212833Z Entering 'third_party/fbgemm'
2025-08-26T20:06:51.6257997Z Entering 'third_party/fbgemm/external/asmjit'
2025-08-26T20:06:51.6299826Z Entering 'third_party/fbgemm/external/composable_kernel'
2025-08-26T20:06:51.6348351Z Entering 'third_party/fbgemm/external/cpuinfo'
2025-08-26T20:06:51.6389365Z Entering 'third_party/fbgemm/external/cutlass'
2025-08-26T20:06:51.6441577Z Entering 'third_party/fbgemm/external/googletest'
2025-08-26T20:06:51.6482493Z Entering 'third_party/fbgemm/external/hipify_torch'
2025-08-26T20:06:51.6523034Z Entering 'third_party/fbgemm/external/json'
2025-08-26T20:06:51.6566988Z Entering 'third_party/flash-attention'
2025-08-26T20:06:51.6610804Z Entering 'third_party/flash-attention/csrc/composable_kernel'
2025-08-26T20:06:51.6658205Z Entering 'third_party/flash-attention/csrc/cutlass'
2025-08-26T20:06:51.6713243Z Entering 'third_party/flatbuffers'
2025-08-26T20:06:51.6758546Z Entering 'third_party/fmt'
2025-08-26T20:06:51.6801975Z Entering 'third_party/gemmlowp/gemmlowp'
2025-08-26T20:06:51.6844795Z Entering 'third_party/gloo'
2025-08-26T20:06:51.6887083Z Entering 'third_party/googletest'
2025-08-26T20:06:51.6930309Z Entering 'third_party/ideep'
2025-08-26T20:06:51.6972469Z Entering 'third_party/ideep/mkl-dnn'
2025-08-26T20:06:51.7021783Z Entering 'third_party/ittapi'
2025-08-26T20:06:51.7064313Z Entering 'third_party/kineto'
2025-08-26T20:06:51.7107102Z Entering 'third_party/kineto/libkineto/third_party/dynolog'
2025-08-26T20:06:51.7149191Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-08-26T20:06:51.7192796Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-08-26T20:06:51.7234516Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-08-26T20:06:51.7276755Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-08-26T20:06:51.7318119Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-08-26T20:06:51.7363742Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-08-26T20:06:51.7405989Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-08-26T20:06:51.7448853Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-08-26T20:06:51.7492567Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-08-26T20:06:51.7535824Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2025-08-26T20:06:51.7577117Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2025-08-26T20:06:51.7618987Z Entering 'third_party/kleidiai'
2025-08-26T20:06:51.7663702Z Entering 'third_party/mimalloc'
2025-08-26T20:06:51.7706362Z Entering 'third_party/nlohmann'
2025-08-26T20:06:51.7750431Z Entering 'third_party/onnx'
2025-08-26T20:06:51.7810084Z Entering 'third_party/onnx/third_party/pybind11'
2025-08-26T20:06:51.7855644Z Entering 'third_party/opentelemetry-cpp'
2025-08-26T20:06:51.7899425Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-08-26T20:06:51.7946905Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-08-26T20:06:51.7989789Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-08-26T20:06:51.8030791Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-08-26T20:06:51.8073950Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-08-26T20:06:51.8114149Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-08-26T20:06:51.8155098Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-08-26T20:06:51.8194887Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-08-26T20:06:51.8238711Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-08-26T20:06:51.8281208Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-08-26T20:06:51.8342918Z Entering 'third_party/pocketfft'
2025-08-26T20:06:51.8384950Z Entering 'third_party/protobuf'
2025-08-26T20:06:51.8429416Z Entering 'third_party/protobuf/third_party/benchmark'
2025-08-26T20:06:51.8470904Z Entering 'third_party/protobuf/third_party/googletest'
2025-08-26T20:06:51.8513390Z Entering 'third_party/psimd'
2025-08-26T20:06:51.8557780Z Entering 'third_party/pthreadpool'
2025-08-26T20:06:51.8600214Z Entering 'third_party/pybind11'
2025-08-26T20:06:51.8642743Z Entering 'third_party/python-peachpy'
2025-08-26T20:06:51.8684380Z Entering 'third_party/sleef'
2025-08-26T20:06:51.8725912Z Entering 'third_party/tensorpipe'
2025-08-26T20:06:51.8767973Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-08-26T20:06:51.8812442Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-08-26T20:06:51.8853353Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-08-26T20:06:51.8893409Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-08-26T20:06:51.8933558Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-08-26T20:06:51.8989593Z ##[endgroup]
2025-08-26T20:06:51.9024857Z [command]/usr/bin/git log -1 --format=%H
2025-08-26T20:06:51.9047911Z 262640fd220236042fbf4443cc163c8838c84c3d
2025-08-26T20:06:51.9238494Z Prepare all required actions
2025-08-26T20:06:51.9239091Z Getting action download info
2025-08-26T20:06:52.0737364Z ##[group]Run ./.github/actions/setup-linux
2025-08-26T20:06:52.0737709Z env:
2025-08-26T20:06:52.0737937Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:06:52.0738197Z ##[endgroup]
2025-08-26T20:06:52.0788097Z ##[group]Run set -euo pipefail
2025-08-26T20:06:52.0788458Z set -euo pipefail
2025-08-26T20:06:52.0788923Z function get_ec2_metadata() {
2025-08-26T20:06:52.0789307Z   # Pulled from instance metadata endpoint for EC2
2025-08-26T20:06:52.0789968Z   # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html
2025-08-26T20:06:52.0790566Z   category=$1
2025-08-26T20:06:52.0790943Z   # If it is GCP runner (runner name contains gcp), do not run this
2025-08-26T20:06:52.0791395Z   runner_name_str=i-0e7f9fe0f083b3903
2025-08-26T20:06:52.0791802Z   if [[ -f /.inarc ]]; then
2025-08-26T20:06:52.0792164Z     echo "ARC Runner, no info on ec2 metadata"
2025-08-26T20:06:52.0792556Z   elif [[ $runner_name_str == *"gcp"* ]]; then
2025-08-26T20:06:52.0793046Z     echo "Runner is from Google Cloud Platform, No info on ec2 metadata"
2025-08-26T20:06:52.0793491Z   else
2025-08-26T20:06:52.0794399Z     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}"
2025-08-26T20:06:52.0795360Z   fi
2025-08-26T20:06:52.0795568Z }
2025-08-26T20:06:52.0795840Z echo "ami-id: $(get_ec2_metadata ami-id)"
2025-08-26T20:06:52.0796288Z echo "instance-id: $(get_ec2_metadata instance-id)"
2025-08-26T20:06:52.0796789Z echo "instance-type: $(get_ec2_metadata instance-type)"
2025-08-26T20:06:52.0797213Z echo "system info $(uname -a)"
2025-08-26T20:06:52.0804228Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:06:52.0804628Z env:
2025-08-26T20:06:52.0804851Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:06:52.0805114Z ##[endgroup]
2025-08-26T20:06:52.0963208Z ami-id: ami-05ffe3c48a9991133
2025-08-26T20:06:52.1070634Z instance-id: i-0e7f9fe0f083b3903
2025-08-26T20:06:52.1179333Z instance-type: c5.2xlarge
2025-08-26T20:06:52.1189981Z system info Linux ip-10-0-49-28.ec2.internal 6.1.141-155.222.amzn2023.x86_64 #1 SMP PREEMPT_DYNAMIC Tue Jun 17 10:29:47 UTC 2025 x86_64 x86_64 x86_64 GNU/Linux
2025-08-26T20:06:52.1221608Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-08-26T20:06:52.1222594Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-08-26T20:06:52.1229024Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:06:52.1229432Z env:
2025-08-26T20:06:52.1229661Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:06:52.1229933Z ##[endgroup]
2025-08-26T20:06:52.1292249Z ##[group]Run if systemctl is-active --quiet docker; then
2025-08-26T20:06:52.1292725Z if systemctl is-active --quiet docker; then
2025-08-26T20:06:52.1293134Z     echo "Docker daemon is running...";
2025-08-26T20:06:52.1293479Z else
2025-08-26T20:06:52.1293847Z     echo "Starting docker daemon..." && sudo systemctl start docker;
2025-08-26T20:06:52.1294293Z fi
2025-08-26T20:06:52.1299744Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:06:52.1300135Z env:
2025-08-26T20:06:52.1300342Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:06:52.1300895Z ##[endgroup]
2025-08-26T20:06:52.1379333Z Docker daemon is running...
2025-08-26T20:06:52.1426564Z ##[group]Run nick-fields/retry@v3.0.0
2025-08-26T20:06:52.1426878Z with:
2025-08-26T20:06:52.1427075Z   shell: bash
2025-08-26T20:06:52.1427481Z   timeout_minutes: 5
2025-08-26T20:06:52.1427733Z   max_attempts: 3
2025-08-26T20:06:52.1427978Z   retry_wait_seconds: 30
2025-08-26T20:06:52.1430343Z   command: AWS_ACCOUNT_ID=$(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

2025-08-26T20:06:52.1432827Z   polling_interval_seconds: 1
2025-08-26T20:06:52.1433126Z   warning_on_retry: true
2025-08-26T20:06:52.1433403Z   continue_on_error: false
2025-08-26T20:06:52.1433659Z env:
2025-08-26T20:06:52.1433885Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:06:52.1434161Z   AWS_RETRY_MODE: standard
2025-08-26T20:06:52.1434426Z   AWS_MAX_ATTEMPTS: 5
2025-08-26T20:06:52.1434676Z   AWS_DEFAULT_REGION: us-east-1
2025-08-26T20:06:52.1434962Z ##[endgroup]
2025-08-26T20:06:53.3111979Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-08-26T20:06:53.3112633Z Configure a credential helper to remove this warning. See
2025-08-26T20:06:53.3113271Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-08-26T20:06:53.3113674Z 
2025-08-26T20:06:53.3113802Z Login Succeeded
2025-08-26T20:06:54.2268844Z Command completed after 1 attempt(s).
2025-08-26T20:06:54.2328872Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-08-26T20:06:54.2329437Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-08-26T20:06:54.2329934Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-08-26T20:06:54.2337231Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:06:54.2337626Z env:
2025-08-26T20:06:54.2337857Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:06:54.2338126Z ##[endgroup]
2025-08-26T20:06:54.2436467Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty
2025-08-26T20:06:54.2437479Z # ignore expansion of "docker ps -q" since it could be empty
2025-08-26T20:06:54.2438192Z # shellcheck disable=SC2046
2025-08-26T20:06:54.2438768Z docker stop $(docker ps -q) || true
2025-08-26T20:06:54.2439122Z # Prune all of the docker images
2025-08-26T20:06:54.2439464Z docker system prune -af
2025-08-26T20:06:54.2445700Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:06:54.2446095Z env:
2025-08-26T20:06:54.2446309Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:06:54.2446578Z ##[endgroup]
2025-08-26T20:06:54.2899671Z "docker stop" requires at least 1 argument.
2025-08-26T20:06:54.2900183Z See 'docker stop --help'.
2025-08-26T20:06:54.2900365Z 
2025-08-26T20:06:54.2900573Z Usage:  docker stop [OPTIONS] CONTAINER [CONTAINER...]
2025-08-26T20:06:54.2900854Z 
2025-08-26T20:06:54.2900966Z Stop one or more running containers
2025-08-26T20:06:54.3103183Z Total reclaimed space: 0B
2025-08-26T20:06:54.3142297Z ##[group]Run set +e
2025-08-26T20:06:54.3142587Z set +e
2025-08-26T20:06:54.3142827Z set -x
2025-08-26T20:06:54.3143057Z 
2025-08-26T20:06:54.3143332Z PT_DOMAIN=download.pytorch.org
2025-08-26T20:06:54.3143918Z # TODO: Flaky access to download.pytorch.org https://github.com/pytorch/pytorch/issues/100400,
2025-08-26T20:06:54.3144719Z # cleaning this up once the issue is fixed. There are more than one resolved IP here, the last
2025-08-26T20:06:54.3145388Z # one is returned at random
2025-08-26T20:06:54.3145800Z RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" | tail -n1)
2025-08-26T20:06:54.3146196Z 
2025-08-26T20:06:54.3146572Z if [ -z "${RESOLVED_IP}" ]; then
2025-08-26T20:06:54.3147025Z   echo "Couldn't resolve ${PT_DOMAIN}, retrying with Google DNS..."
2025-08-26T20:06:54.3147574Z   RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" @8.8.8.8 | tail -n1)
2025-08-26T20:06:54.3147987Z 
2025-08-26T20:06:54.3148232Z   if [ -z "${RESOLVED_IP}" ]; then
2025-08-26T20:06:54.3148620Z     echo "Couldn't resolve ${PT_DOMAIN}, exiting..."
2025-08-26T20:06:54.3149099Z     exit 1
2025-08-26T20:06:54.3149342Z   fi
2025-08-26T20:06:54.3149558Z fi
2025-08-26T20:06:54.3149757Z 
2025-08-26T20:06:54.3150026Z if grep -r "${PT_DOMAIN}" /etc/hosts; then
2025-08-26T20:06:54.3150410Z   # Clean up any old records first
2025-08-26T20:06:54.3150784Z   sudo sed -i "/${PT_DOMAIN}/d" /etc/hosts
2025-08-26T20:06:54.3151108Z fi
2025-08-26T20:06:54.3151319Z 
2025-08-26T20:06:54.3151647Z echo "${RESOLVED_IP} ${PT_DOMAIN}" | sudo tee -a /etc/hosts
2025-08-26T20:06:54.3152064Z cat /etc/hosts
2025-08-26T20:06:54.3158637Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:06:54.3159037Z env:
2025-08-26T20:06:54.3159260Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:06:54.3159530Z ##[endgroup]
2025-08-26T20:06:54.3183234Z + PT_DOMAIN=download.pytorch.org
2025-08-26T20:06:54.3189240Z ++ dig -4 +short download.pytorch.org
2025-08-26T20:06:54.3189867Z ++ tail -n1
2025-08-26T20:06:54.3571937Z + RESOLVED_IP=18.160.10.36
2025-08-26T20:06:54.3572494Z + '[' -z 18.160.10.36 ']'
2025-08-26T20:06:54.3572982Z + grep -r download.pytorch.org /etc/hosts
2025-08-26T20:06:54.3587911Z + echo '18.160.10.36 download.pytorch.org'
2025-08-26T20:06:54.3588732Z + sudo tee -a /etc/hosts
2025-08-26T20:06:54.7072265Z 18.160.10.36 download.pytorch.org
2025-08-26T20:06:54.7090753Z + cat /etc/hosts
2025-08-26T20:06:54.7100481Z 127.0.0.1   localhost localhost.localdomain localhost4 localhost4.localdomain4
2025-08-26T20:06:54.7107490Z ::1         localhost6 localhost6.localdomain6
2025-08-26T20:06:54.7108170Z 18.160.10.36 download.pytorch.org
2025-08-26T20:06:54.7285693Z ##[group]Run pytorch/test-infra/.github/actions/calculate-docker-image@main
2025-08-26T20:06:54.7286176Z with:
2025-08-26T20:06:54.7287045Z   docker-image-name: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6
2025-08-26T20:06:54.7288051Z   use-custom-docker-registry: true
2025-08-26T20:06:54.7288363Z   docker-build-dir: .ci/docker
2025-08-26T20:06:54.7288665Z   docker-build-script: ./build.sh
2025-08-26T20:06:54.7288971Z   working-directory: .
2025-08-26T20:06:54.7289328Z   docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-08-26T20:06:54.7289726Z   force-push: false
2025-08-26T20:06:54.7289957Z env:
2025-08-26T20:06:54.7290179Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:06:54.7290442Z ##[endgroup]
2025-08-26T20:06:54.7318451Z ##[group]Run set -ex
2025-08-26T20:06:54.7318762Z set -ex
2025-08-26T20:06:54.7318996Z 
2025-08-26T20:06:54.7319453Z # If the docker build directory or the build script doesn't exist, the action will
2025-08-26T20:06:54.7320156Z # gracefully return the docker image name as it is.  Pulling docker image in Linux
2025-08-26T20:06:54.7320740Z # job could then download the pre-built image as usual
2025-08-26T20:06:54.7321472Z if [[ -d "${DOCKER_BUILD_DIR}" ]] && [[ -f "${DOCKER_BUILD_DIR}/${DOCKER_BUILD_SCRIPT}" ]] && [[ "${USE_CUSTOM_DOCKER_REGISTRY}" == "true" ]]; then
2025-08-26T20:06:54.7322144Z   echo "skip=false" >> "${GITHUB_OUTPUT}"
2025-08-26T20:06:54.7322483Z else
2025-08-26T20:06:54.7322750Z   echo "skip=true" >> "${GITHUB_OUTPUT}"
2025-08-26T20:06:54.7323202Z   echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}"
2025-08-26T20:06:54.7323625Z 
2025-08-26T20:06:54.7324211Z   echo "Not using custom ECR registry.  Either it was not requested or there is no Docker build script in the ${REPO_NAME} repo..."
2025-08-26T20:06:54.7324883Z   exit 0
2025-08-26T20:06:54.7325097Z fi
2025-08-26T20:06:54.7325310Z 
2025-08-26T20:06:54.7325655Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_REGISTRY}/${REPO_NAME}"* ]]; then
2025-08-26T20:06:54.7326281Z   # The docker image name already includes the ECR prefix and tag, so we can just
2025-08-26T20:06:54.7326986Z   # use it as it is, but first let's extract the tag
2025-08-26T20:06:54.7327475Z   DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}')
2025-08-26T20:06:54.7328065Z   echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2025-08-26T20:06:54.7328578Z   echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}"
2025-08-26T20:06:54.7329003Z else
2025-08-26T20:06:54.7329277Z   if [[ "${DOCKER_IMAGE_NAME}" == *:* ]]; then
2025-08-26T20:06:54.7329664Z     CUSTOM_TAG_PREFIX=${DOCKER_IMAGE_NAME#*:}
2025-08-26T20:06:54.7330077Z     DOCKER_IMAGE_NAME=${DOCKER_IMAGE_NAME%%:*}
2025-08-26T20:06:54.7330425Z   fi
2025-08-26T20:06:54.7330889Z   DOCKER_TAG=${CUSTOM_TAG_PREFIX:+${CUSTOM_TAG_PREFIX}-}$(git rev-parse HEAD:"${DOCKER_BUILD_DIR}")
2025-08-26T20:06:54.7331505Z   echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2025-08-26T20:06:54.7332175Z   echo "docker-image=${DOCKER_REGISTRY}/${REPO_NAME}/${DOCKER_IMAGE_NAME}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2025-08-26T20:06:54.7332903Z   echo "custom-tag-prefix=${CUSTOM_TAG_PREFIX}" >> "${GITHUB_OUTPUT}"
2025-08-26T20:06:54.7333349Z fi
2025-08-26T20:06:54.7342603Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:06:54.7342994Z env:
2025-08-26T20:06:54.7343222Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:06:54.7343501Z   REPO_NAME: pytorch
2025-08-26T20:06:54.7344523Z   DOCKER_IMAGE_NAME: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6
2025-08-26T20:06:54.7345555Z   DOCKER_BUILD_DIR: .ci/docker
2025-08-26T20:06:54.7345853Z   DOCKER_BUILD_SCRIPT: ./build.sh
2025-08-26T20:06:54.7346250Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-08-26T20:06:54.7346670Z   USE_CUSTOM_DOCKER_REGISTRY: true
2025-08-26T20:06:54.7346972Z   CUSTOM_TAG_PREFIX: 
2025-08-26T20:06:54.7347221Z ##[endgroup]
2025-08-26T20:06:54.7374426Z + [[ -d .ci/docker ]]
2025-08-26T20:06:54.7374724Z + [[ -f .ci/docker/./build.sh ]]
2025-08-26T20:06:54.7375019Z + [[ true == \t\r\u\e ]]
2025-08-26T20:06:54.7375285Z + echo skip=false
2025-08-26T20:06:54.7376435Z + [[ 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6 == *\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* ]]
2025-08-26T20:06:54.7383079Z ++ echo 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6
2025-08-26T20:06:54.7384078Z ++ awk -F '[:,]' '{print $2}'
2025-08-26T20:06:54.7463941Z + DOCKER_TAG=pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6
2025-08-26T20:06:54.7465332Z + echo docker-tag=pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6
2025-08-26T20:06:54.7466827Z + echo docker-image=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6
2025-08-26T20:06:54.7499113Z ##[group]Run set +e
2025-08-26T20:06:54.7499426Z set +e
2025-08-26T20:06:54.7499666Z set -x
2025-08-26T20:06:54.7499890Z 
2025-08-26T20:06:54.7500091Z login() {
2025-08-26T20:06:54.7500582Z   aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1"
2025-08-26T20:06:54.7501133Z }
2025-08-26T20:06:54.7501345Z 
2025-08-26T20:06:54.7501544Z retry () {
2025-08-26T20:06:54.7501823Z   $*  || (sleep 1 && $*) || (sleep 2 && $*)
2025-08-26T20:06:54.7502144Z }
2025-08-26T20:06:54.7502352Z 
2025-08-26T20:06:54.7502710Z retry login "${DOCKER_REGISTRY}"
2025-08-26T20:06:54.7503032Z 
2025-08-26T20:06:54.7503260Z START_TIME=$(date +%s)
2025-08-26T20:06:54.7503569Z # Wait up to 120 minutes
2025-08-26T20:06:54.7503947Z while [[ $(( $(date +%s) - 7200 )) -lt $START_TIME ]]; do
2025-08-26T20:06:54.7504455Z   # Check if image already exists, if it does then skip building it
2025-08-26T20:06:54.7504971Z   if docker manifest inspect "${DOCKER_IMAGE}"; then
2025-08-26T20:06:54.7505461Z     exit 0
2025-08-26T20:06:54.7505705Z   fi
2025-08-26T20:06:54.7505911Z 
2025-08-26T20:06:54.7506314Z   # NB: This flag is used by Docker build workflow to push the image to ECR, so we can
2025-08-26T20:06:54.7507015Z   # use this to differentiate between the Docker build and regular build jobs. For the
2025-08-26T20:06:54.7507714Z   # latter, it will wait for the Docker images to become available before continuing
2025-08-26T20:06:54.7508269Z   if [ "${DOCKER_PUSH:-false}" == "true" ]; then
2025-08-26T20:06:54.7508677Z     # It's a Docker build job, let's build the image
2025-08-26T20:06:54.7509044Z     break
2025-08-26T20:06:54.7509285Z   else
2025-08-26T20:06:54.7509644Z     # It's a regular build job, wait for the image to become available
2025-08-26T20:06:54.7510065Z     sleep 300
2025-08-26T20:06:54.7510323Z   fi
2025-08-26T20:06:54.7510547Z done
2025-08-26T20:06:54.7510766Z 
2025-08-26T20:06:54.7511118Z # NB: This part requires a full checkout. Otherwise, the merge base will
2025-08-26T20:06:54.7511838Z # be empty.  The default action would be to continue rebuild the image
2025-08-26T20:06:54.7512381Z if [[ "$BASE_REVISION" = "$(git rev-parse HEAD)" ]]; then
2025-08-26T20:06:54.7512854Z   # if we're on the base branch then use the parent commit
2025-08-26T20:06:54.7513279Z   MERGE_BASE=$(git rev-parse HEAD~)
2025-08-26T20:06:54.7513594Z else
2025-08-26T20:06:54.7513924Z   # otherwise we're on a PR, so use the most recent base commit
2025-08-26T20:06:54.7514415Z   MERGE_BASE=$(git merge-base HEAD "$BASE_REVISION")
2025-08-26T20:06:54.7514795Z fi
2025-08-26T20:06:54.7514997Z 
2025-08-26T20:06:54.7515233Z if [[ -z "${MERGE_BASE}" ]]; then
2025-08-26T20:06:54.7515602Z   echo "rebuild=true" >> "${GITHUB_OUTPUT}"
2025-08-26T20:06:54.7515947Z 
2025-08-26T20:06:54.7516420Z   echo "Finding merge base only works with full checkout, please set fetch-depth to 0, continuing ..."
2025-08-26T20:06:54.7517007Z   exit 0
2025-08-26T20:06:54.7517235Z fi
2025-08-26T20:06:54.7517447Z 
2025-08-26T20:06:54.7517760Z if ! git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}"; then
2025-08-26T20:06:54.7518455Z   echo "Directory '${DOCKER_BUILD_DIR}' not found in commit $MERGE_BASE, you should rebase onto a more recent commit"
2025-08-26T20:06:54.7519069Z   exit 1
2025-08-26T20:06:54.7519297Z fi
2025-08-26T20:06:54.7519508Z 
2025-08-26T20:06:54.7519863Z PREVIOUS_DOCKER_TAG=$(git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}")
2025-08-26T20:06:54.7520550Z # If no image exists but the hash is the same as the previous hash then we should error out here
2025-08-26T20:06:54.7521174Z if [[ "${PREVIOUS_DOCKER_TAG}" == "${DOCKER_TAG}" ]]; then
2025-08-26T20:06:54.7521893Z   echo "WARNING: Something has gone wrong and the previous image isn't available for the merge-base of your branch"
2025-08-26T20:06:54.7522701Z   echo "         Will re-build docker image to store in local cache, TTS may be longer"
2025-08-26T20:06:54.7523166Z fi
2025-08-26T20:06:54.7523381Z 
2025-08-26T20:06:54.7523643Z echo "rebuild=true" >> "${GITHUB_OUTPUT}"
2025-08-26T20:06:54.7529550Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:06:54.7529944Z env:
2025-08-26T20:06:54.7530149Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:06:54.7530429Z   DOCKER_BUILD_DIR: .ci/docker
2025-08-26T20:06:54.7530774Z   BASE_REVISION: 262640fd220236042fbf4443cc163c8838c84c3d
2025-08-26T20:06:54.7531767Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6
2025-08-26T20:06:54.7533016Z   DOCKER_TAG: pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6
2025-08-26T20:06:54.7533772Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-08-26T20:06:54.7534175Z   DOCKER_PUSH: 
2025-08-26T20:06:54.7534408Z ##[endgroup]
2025-08-26T20:06:54.7559092Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-08-26T20:06:54.7559794Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-08-26T20:06:54.7562007Z + aws ecr get-login-password --region us-east-1
2025-08-26T20:06:54.7564219Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-08-26T20:06:55.2885249Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-08-26T20:06:55.2885896Z Configure a credential helper to remove this warning. See
2025-08-26T20:06:55.2886524Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-08-26T20:06:55.2887117Z 
2025-08-26T20:06:55.2887276Z Login Succeeded
2025-08-26T20:06:55.2900780Z ++ date +%s
2025-08-26T20:06:55.2910821Z + START_TIME=1756238815
2025-08-26T20:06:55.2913676Z ++ date +%s
2025-08-26T20:06:55.2923167Z + [[ 1756231615 -lt 1756238815 ]]
2025-08-26T20:06:55.2924164Z + docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6
2025-08-26T20:06:55.5349672Z {
2025-08-26T20:06:55.5350017Z 	"schemaVersion": 2,
2025-08-26T20:06:55.5350473Z 	"mediaType": "application/vnd.docker.distribution.manifest.v2+json",
2025-08-26T20:06:55.5350915Z 	"config": {
2025-08-26T20:06:55.5351263Z 		"mediaType": "application/vnd.docker.container.image.v1+json",
2025-08-26T20:06:55.5351681Z 		"size": 30011,
2025-08-26T20:06:55.5352104Z 		"digest": "sha256:932da535a977ab0b0008738bb22f52295068c34f7c3dedec486c588f4545c297"
2025-08-26T20:06:55.5352576Z 	},
2025-08-26T20:06:55.5352785Z 	"layers": [
2025-08-26T20:06:55.5353092Z 		{
2025-08-26T20:06:55.5353532Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:06:55.5354108Z 			"size": 30448173,
2025-08-26T20:06:55.5354723Z 			"digest": "sha256:660ffc76f83b006444a5731b215acc2e35138d8be5cac8ed1ffd40f947117495"
2025-08-26T20:06:55.5355428Z 		},
2025-08-26T20:06:55.5355698Z 		{
2025-08-26T20:06:55.5356135Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:06:55.5356589Z 			"size": 1553,
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2025-08-26T20:06:55.5357521Z 		},
2025-08-26T20:06:55.5357699Z 		{
2025-08-26T20:06:55.5358026Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:06:55.5358449Z 			"size": 314206045,
2025-08-26T20:06:55.5358880Z 			"digest": "sha256:9c55cec78f8406fa713d2fc186d15d0715894b44b0f44c5405e0b0063a3f0b35"
2025-08-26T20:06:55.5359346Z 		},
2025-08-26T20:06:55.5359539Z 		{
2025-08-26T20:06:55.5359868Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:06:55.5360288Z 			"size": 791,
2025-08-26T20:06:55.5360704Z 			"digest": "sha256:9bc7d79f3fbb3f75440f59f706b65c619d51400f6713a7401ffda0dcaf302bb9"
2025-08-26T20:06:55.5361186Z 		},
2025-08-26T20:06:55.5361377Z 		{
2025-08-26T20:06:55.5361708Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:06:55.5362120Z 			"size": 106,
2025-08-26T20:06:55.5362643Z 			"digest": "sha256:aafdf104ff63b060f0439c67965849e39ee9201be5223ae1f47d0ebb26c3b325"
2025-08-26T20:06:55.5363418Z 		},
2025-08-26T20:06:55.5363612Z 		{
2025-08-26T20:06:55.5364029Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:06:55.5364453Z 			"size": 703,
2025-08-26T20:06:55.5364863Z 			"digest": "sha256:82c8895e8a78ab52a51c545848284071a28cc32bea40e6fdfb13397379736b4a"
2025-08-26T20:06:55.5365337Z 		},
2025-08-26T20:06:55.5365518Z 		{
2025-08-26T20:06:55.5365850Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:06:55.5366433Z 			"size": 1218,
2025-08-26T20:06:55.5367026Z 			"digest": "sha256:0f8cef21ed4173eec4d4181571521b7800b00cf43ce0ca11e9c9fe88d35f579a"
2025-08-26T20:06:55.5367519Z 		},
2025-08-26T20:06:55.5367705Z 		{
2025-08-26T20:06:55.5368035Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:06:55.5368464Z 			"size": 485,
2025-08-26T20:06:55.5368878Z 			"digest": "sha256:23a46894eb0acedf8723b47155c8b47190e9518f68cdacc3b98cbf44adb6d567"
2025-08-26T20:06:55.5369358Z 		},
2025-08-26T20:06:55.5369552Z 		{
2025-08-26T20:06:55.5369879Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:06:55.5370302Z 			"size": 110343865,
2025-08-26T20:06:55.5370716Z 			"digest": "sha256:71763536b7fe8d33e2a4a8ca5d37e9398128db4909b9df72878dfaa11e5fc01c"
2025-08-26T20:06:55.5371191Z 		},
2025-08-26T20:06:55.5371382Z 		{
2025-08-26T20:06:55.5371709Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:06:55.5372113Z 			"size": 4788,
2025-08-26T20:06:55.5372539Z 			"digest": "sha256:2d20cafec487317b3f84d0dafee9ba5dfac753ffd39b33da488c28bbe5f49e11"
2025-08-26T20:06:55.5373177Z 		},
2025-08-26T20:06:55.5373372Z 		{
2025-08-26T20:06:55.5373688Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:06:55.5374111Z 			"size": 1709,
2025-08-26T20:06:55.5374518Z 			"digest": "sha256:24343f5bbf5c9b05649870203050524a23cf8203b02ed938517d81427cfba66f"
2025-08-26T20:06:55.5374994Z 		},
2025-08-26T20:06:55.5375175Z 		{
2025-08-26T20:06:55.5375502Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:06:55.5375923Z 			"size": 724,
2025-08-26T20:06:55.5376341Z 			"digest": "sha256:13e40e4a2eab659a96b75462cbf452eb8f13dccf5ab0ff09302a846bd5543ddf"
2025-08-26T20:06:55.5376817Z 		},
2025-08-26T20:06:55.5377005Z 		{
2025-08-26T20:06:55.5377334Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:06:55.5377755Z 			"size": 544,
2025-08-26T20:06:55.5378151Z 			"digest": "sha256:f6116ea55ac16326cfa791b3966b4545df025e8766eff08811885d86b5c7aed3"
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2025-08-26T20:06:55.5475028Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:06:55.5475452Z 			"size": 32,
2025-08-26T20:06:55.5475858Z 			"digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1"
2025-08-26T20:06:55.5476342Z 		},
2025-08-26T20:06:55.5476662Z 		{
2025-08-26T20:06:55.5476990Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:06:55.5477397Z 			"size": 136,
2025-08-26T20:06:55.5477811Z 			"digest": "sha256:7efd21765c9f354e41a6820f89addc3ce5a16766a203740a389ac5e9ce80d6fc"
2025-08-26T20:06:55.5478291Z 		},
2025-08-26T20:06:55.5478485Z 		{
2025-08-26T20:06:55.5478804Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:06:55.5479226Z 			"size": 380,
2025-08-26T20:06:55.5479636Z 			"digest": "sha256:47eb26c12113434e1c0cf8da7273e9040511b9884eccf4a3dcbea2d5249a023d"
2025-08-26T20:06:55.5480114Z 		},
2025-08-26T20:06:55.5480296Z 		{
2025-08-26T20:06:55.5480709Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:06:55.5481137Z 			"size": 32,
2025-08-26T20:06:55.5481556Z 			"digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1"
2025-08-26T20:06:55.5482028Z 		},
2025-08-26T20:06:55.5482229Z 		{
2025-08-26T20:06:55.5482560Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:06:55.5482984Z 			"size": 104,
2025-08-26T20:06:55.5483381Z 			"digest": "sha256:27c4d270ca26645b622a0d54fe5017b1e9885c1fc8798cc40732d4cd3520b3d7"
2025-08-26T20:06:55.5483857Z 		},
2025-08-26T20:06:55.5484047Z 		{
2025-08-26T20:06:55.5484374Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:06:55.5484781Z 			"size": 407,
2025-08-26T20:06:55.5485195Z 			"digest": "sha256:4bc6ef31bd523602cfd4f80f47fe9cf84cf74986fce29a393c69a2008ee3c78f"
2025-08-26T20:06:55.5485681Z 		},
2025-08-26T20:06:55.5485874Z 		{
2025-08-26T20:06:55.5486192Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:06:55.5486609Z 			"size": 32,
2025-08-26T20:06:55.5487023Z 			"digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1"
2025-08-26T20:06:55.5487502Z 		},
2025-08-26T20:06:55.5487678Z 		{
2025-08-26T20:06:55.5488001Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:06:55.5488422Z 			"size": 109,
2025-08-26T20:06:55.5488847Z 			"digest": "sha256:5ce18bf5b45dbcad8afcd0fde76d5d0a674d53e510d99cceff0587e6b948e52e"
2025-08-26T20:06:55.5489325Z 		},
2025-08-26T20:06:55.5489518Z 		{
2025-08-26T20:06:55.5489845Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:06:55.5490262Z 			"size": 1896,
2025-08-26T20:06:55.5490670Z 			"digest": "sha256:285c81af4b9d0b1429be21e8a67cdb35d3b2ce9652ba5bd3e7b4fe003b1da902"
2025-08-26T20:06:55.5491153Z 		},
2025-08-26T20:06:55.5491344Z 		{
2025-08-26T20:06:55.5491679Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:06:55.5492093Z 			"size": 242997127,
2025-08-26T20:06:55.5492533Z 			"digest": "sha256:bb07dd0d561f2f9bd5c780aefc22a73058368931be47e4e3af1a539c4d267ae2"
2025-08-26T20:06:55.5493020Z 		},
2025-08-26T20:06:55.5493215Z 		{
2025-08-26T20:06:55.5493528Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:06:55.5494019Z 			"size": 106,
2025-08-26T20:06:55.5494439Z 			"digest": "sha256:50a5a3b68ee3894de8898a04c6a4bfdd0ac1859da95b5a8ceab7ccb6a9a620da"
2025-08-26T20:06:55.5494926Z 		},
2025-08-26T20:06:55.5495104Z 		{
2025-08-26T20:06:55.5495432Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:06:55.5495853Z 			"size": 164,
2025-08-26T20:06:55.5496267Z 			"digest": "sha256:79eecebd063f6be16d85070bb148f969679d1d8df9c0dee228e3595118fcd6f0"
2025-08-26T20:06:55.5496738Z 		},
2025-08-26T20:06:55.5496931Z 		{
2025-08-26T20:06:55.5497258Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:06:55.5497682Z 			"size": 7943,
2025-08-26T20:06:55.5498085Z 			"digest": "sha256:1d221336b6cfad31c20882c181f430a4282a12a9be9028b5bd8280aadca44c42"
2025-08-26T20:06:55.5498564Z 		},
2025-08-26T20:06:55.5498756Z 		{
2025-08-26T20:06:55.5499117Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:06:55.5499530Z 			"size": 8077,
2025-08-26T20:06:55.5499962Z 			"digest": "sha256:bb9b1ab32155a02a0f4cd73062f3e3f649e281a8439037f7b94cc6df74dc4fba"
2025-08-26T20:06:55.5500443Z 		},
2025-08-26T20:06:55.5500634Z 		{
2025-08-26T20:06:55.5500948Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:06:55.5501373Z 			"size": 303,
2025-08-26T20:06:55.5501787Z 			"digest": "sha256:0867b7fa637cd840cab46ab9d0f60674db13df921cabda8599405045604f5b2d"
2025-08-26T20:06:55.5502269Z 		},
2025-08-26T20:06:55.5502451Z 		{
2025-08-26T20:06:55.5502779Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:06:55.5503202Z 			"size": 32,
2025-08-26T20:06:55.5503693Z 			"digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1"
2025-08-26T20:06:55.5504165Z 		},
2025-08-26T20:06:55.5504364Z 		{
2025-08-26T20:06:55.5504692Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:06:55.5505113Z 			"size": 108,
2025-08-26T20:06:55.5505624Z 			"digest": "sha256:0edddbef40dd990542474976dcfe8db6dca1fee30e5d623ff3c442b93de5a701"
2025-08-26T20:06:55.5506110Z 		},
2025-08-26T20:06:55.5506306Z 		{
2025-08-26T20:06:55.5506634Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:06:55.5507045Z 			"size": 54145663,
2025-08-26T20:06:55.5507478Z 			"digest": "sha256:bf05e37245a2b1f993edf59c7d829c700ba42dde0686edb2dc0b990fe7a97573"
2025-08-26T20:06:55.5507960Z 		},
2025-08-26T20:06:55.5508155Z 		{
2025-08-26T20:06:55.5508474Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:06:55.5508899Z 			"size": 32,
2025-08-26T20:06:55.5509318Z 			"digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1"
2025-08-26T20:06:55.5509803Z 		}
2025-08-26T20:06:55.5509983Z 	]
2025-08-26T20:06:55.5510190Z }
2025-08-26T20:06:55.5510404Z + exit 0
2025-08-26T20:06:55.5555579Z ##[group]Run set -eux
2025-08-26T20:06:55.5555999Z set -eux
2025-08-26T20:06:55.5556460Z # It's ok if this steps fails, it would then be an anonymous user like what we used to have
2025-08-26T20:06:55.5557677Z aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token | jq --raw-output '.SecretString' | jq -r .docker_hub_readonly_token | docker login --username pytorchbot --password-stdin || true
2025-08-26T20:06:55.5565464Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:06:55.5565863Z env:
2025-08-26T20:06:55.5566070Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:06:55.5566335Z ##[endgroup]
2025-08-26T20:06:55.5599482Z + aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token
2025-08-26T20:06:55.5600877Z + jq --raw-output .SecretString
2025-08-26T20:06:55.5601593Z + jq -r .docker_hub_readonly_token
2025-08-26T20:06:55.5603483Z + docker login --username pytorchbot --password-stdin
2025-08-26T20:06:56.1386270Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-08-26T20:06:56.1386915Z Configure a credential helper to remove this warning. See
2025-08-26T20:06:56.1387950Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-08-26T20:06:56.1388374Z 
2025-08-26T20:06:56.1388476Z Login Succeeded
2025-08-26T20:06:56.1477811Z ##[group]Run tag=${ECR_DOCKER_IMAGE##*:}
2025-08-26T20:06:56.1478204Z tag=${ECR_DOCKER_IMAGE##*:}
2025-08-26T20:06:56.1478603Z echo "docker pull ghcr.io/pytorch/ci-image:${tag/:/-}"
2025-08-26T20:06:56.1484495Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:06:56.1484888Z env:
2025-08-26T20:06:56.1485110Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:06:56.1486027Z   ECR_DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6
2025-08-26T20:06:56.1486959Z ##[endgroup]
2025-08-26T20:06:56.1513485Z docker pull ghcr.io/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6
2025-08-26T20:06:56.1591242Z ##[group]Run pytorch/test-infra/.github/actions/pull-docker-image@main
2025-08-26T20:06:56.1591700Z with:
2025-08-26T20:06:56.1592543Z   docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6
2025-08-26T20:06:56.1593577Z   docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-08-26T20:06:56.1593978Z env:
2025-08-26T20:06:56.1594202Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:06:56.1594469Z ##[endgroup]
2025-08-26T20:06:56.1616696Z ##[group]Run set -x
2025-08-26T20:06:56.1616975Z set -x
2025-08-26T20:06:56.1617208Z set +e
2025-08-26T20:06:56.1617436Z 
2025-08-26T20:06:56.1617640Z login() {
2025-08-26T20:06:56.1618137Z   aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1"
2025-08-26T20:06:56.1618687Z }
2025-08-26T20:06:56.1618902Z 
2025-08-26T20:06:56.1619168Z retry () {
2025-08-26T20:06:56.1619452Z   $*  || (sleep 1 && $*) || (sleep 2 && $*)
2025-08-26T20:06:56.1619768Z }
2025-08-26T20:06:56.1619980Z 
2025-08-26T20:06:56.1620220Z retry login "${DOCKER_REGISTRY}"
2025-08-26T20:06:56.1620544Z 
2025-08-26T20:06:56.1621034Z IMAGE_SIZE=$(docker manifest inspect "${DOCKER_IMAGE}" | jq '[.layers[].size, .config.size] | add / 1024 / 1024')
2025-08-26T20:06:56.1621726Z echo "Compressed size of image in MB: ${IMAGE_SIZE}"
2025-08-26T20:06:56.1622115Z 
2025-08-26T20:06:56.1622327Z set -e
2025-08-26T20:06:56.1622661Z # ignore output since only exit code is used for conditional
2025-08-26T20:06:56.1623177Z # only pull docker image if it's not available locally
2025-08-26T20:06:56.1623739Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then
2025-08-26T20:06:56.1624412Z   retry docker pull "${DOCKER_IMAGE}"
2025-08-26T20:06:56.1624755Z fi
2025-08-26T20:06:56.1630130Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:06:56.1630526Z env:
2025-08-26T20:06:56.1630748Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:06:56.1631655Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6
2025-08-26T20:06:56.1632677Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-08-26T20:06:56.1633079Z ##[endgroup]
2025-08-26T20:06:56.1655792Z + set +e
2025-08-26T20:06:56.1656445Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-08-26T20:06:56.1656918Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-08-26T20:06:56.1659504Z + aws ecr get-login-password --region us-east-1
2025-08-26T20:06:56.1660549Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-08-26T20:06:56.6911182Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-08-26T20:06:56.6911821Z Configure a credential helper to remove this warning. See
2025-08-26T20:06:56.6912542Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-08-26T20:06:56.6912951Z 
2025-08-26T20:06:56.6913066Z Login Succeeded
2025-08-26T20:06:56.6929041Z ++ docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6
2025-08-26T20:06:56.6930140Z ++ jq '[.layers[].size, .config.size] | add / 1024 / 1024'
2025-08-26T20:06:56.9427772Z + IMAGE_SIZE=28511.53002166748
2025-08-26T20:06:56.9428471Z + echo 'Compressed size of image in MB: 28511.53002166748'
2025-08-26T20:06:56.9429138Z + set -e
2025-08-26T20:06:56.9429411Z Compressed size of image in MB: 28511.53002166748
2025-08-26T20:06:56.9430709Z + docker inspect --type=image 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6
2025-08-26T20:06:56.9558518Z + retry docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6
2025-08-26T20:06:56.9560117Z + docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6
2025-08-26T20:06:57.2030158Z pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6: Pulling from pytorch/ci-image
2025-08-26T20:06:57.2033234Z 660ffc76f83b: Pulling fs layer
2025-08-26T20:06:57.2033855Z 4d54b123ef9d: Pulling fs layer
2025-08-26T20:06:57.2034393Z 9c55cec78f84: Pulling fs layer
2025-08-26T20:06:57.2034941Z 9bc7d79f3fbb: Pulling fs layer
2025-08-26T20:06:57.2035464Z aafdf104ff63: Pulling fs layer
2025-08-26T20:06:57.2036003Z 82c8895e8a78: Pulling fs layer
2025-08-26T20:06:57.2036613Z 0f8cef21ed41: Pulling fs layer
2025-08-26T20:06:57.2037146Z 23a46894eb0a: Pulling fs layer
2025-08-26T20:06:57.2037629Z 71763536b7fe: Pulling fs layer
2025-08-26T20:06:57.2038086Z 2d20cafec487: Pulling fs layer
2025-08-26T20:06:57.2038540Z 24343f5bbf5c: Pulling fs layer
2025-08-26T20:06:57.2038934Z 13e40e4a2eab: Pulling fs layer
2025-08-26T20:06:57.2039255Z f6116ea55ac1: Pulling fs layer
2025-08-26T20:06:57.2039711Z 0f8cef21ed41: Waiting
2025-08-26T20:06:57.2040132Z 734ff9c3d9c1: Pulling fs layer
2025-08-26T20:06:57.2040736Z 9bc7d79f3fbb: Waiting
2025-08-26T20:06:57.2041014Z 4f4fb700ef54: Pulling fs layer
2025-08-26T20:06:57.2041290Z 23a46894eb0a: Waiting
2025-08-26T20:06:57.2041532Z 71763536b7fe: Waiting
2025-08-26T20:06:57.2041774Z 7962f79fd05c: Pulling fs layer
2025-08-26T20:06:57.2042066Z 38d0e1be877e: Pulling fs layer
2025-08-26T20:06:57.2042349Z 950bd866dd78: Pulling fs layer
2025-08-26T20:06:57.2042625Z aafdf104ff63: Waiting
2025-08-26T20:06:57.2042861Z 2d20cafec487: Waiting
2025-08-26T20:06:57.2043124Z 82c8895e8a78: Waiting
2025-08-26T20:06:57.2043407Z 24343f5bbf5c: Waiting
2025-08-26T20:06:57.2043690Z 6795befe89ab: Pulling fs layer
2025-08-26T20:06:57.2043995Z e7d56d45e721: Pulling fs layer
2025-08-26T20:06:57.2044317Z 13e40e4a2eab: Waiting
2025-08-26T20:06:57.2044558Z 4f4fb700ef54: Waiting
2025-08-26T20:06:57.2044807Z 01f006747b5d: Pulling fs layer
2025-08-26T20:06:57.2045230Z c507b40a0297: Pulling fs layer
2025-08-26T20:06:57.2045689Z f6116ea55ac1: Waiting
2025-08-26T20:06:57.2046130Z 734ff9c3d9c1: Waiting
2025-08-26T20:06:57.2046545Z 950bd866dd78: Waiting
2025-08-26T20:06:57.2046930Z 4e1b4afdbeea: Pulling fs layer
2025-08-26T20:06:57.2047294Z b64445d67ed1: Pulling fs layer
2025-08-26T20:06:57.2047582Z f48ac6c01ba8: Pulling fs layer
2025-08-26T20:06:57.2047862Z 01f006747b5d: Waiting
2025-08-26T20:06:57.2048088Z 7962f79fd05c: Waiting
2025-08-26T20:06:57.2048344Z b9fb5bb58157: Pulling fs layer
2025-08-26T20:06:57.2048620Z 6795befe89ab: Waiting
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2025-08-26T20:21:15.8634548Z Digest: sha256:acbbd4ce4ca5911beba428e48e3c25069f341e6f142804bf943d333ccc654c8c
2025-08-26T20:21:15.8782147Z Status: Downloaded newer image for 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6
2025-08-26T20:21:15.8869507Z 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6
2025-08-26T20:21:15.9103880Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-08-26T20:21:15.9104918Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-08-26T20:21:15.9114743Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:21:15.9115133Z env:
2025-08-26T20:21:15.9115363Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:21:15.9115634Z ##[endgroup]
2025-08-26T20:21:15.9672417Z Prepare all required actions
2025-08-26T20:21:15.9715564Z ##[group]Run ./.github/actions/get-workflow-job-id
2025-08-26T20:21:15.9715925Z with:
2025-08-26T20:21:15.9716520Z   github-token: ***
2025-08-26T20:21:15.9716749Z env:
2025-08-26T20:21:15.9716968Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:21:15.9717236Z ##[endgroup]
2025-08-26T20:21:15.9755396Z ##[group]Run set -eux
2025-08-26T20:21:15.9755888Z set -eux
2025-08-26T20:21:15.9756676Z python3 .github/scripts/get_workflow_job_id.py "${GITHUB_RUN_ID}" "${RUNNER_NAME}"
2025-08-26T20:21:15.9766539Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:21:15.9767213Z env:
2025-08-26T20:21:15.9767565Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:21:15.9768322Z   GITHUB_TOKEN: ***
2025-08-26T20:21:15.9768719Z ##[endgroup]
2025-08-26T20:21:15.9802477Z + python3 .github/scripts/get_workflow_job_id.py 17248463647 i-0e7f9fe0f083b3903
2025-08-26T20:21:17.1784337Z Setting output job-id=48946557718
2025-08-26T20:21:17.1785026Z Setting output job-name=verify-cachebench-cpu-test / test (verify_cachebench, 1, 1, linux.2xlarge)
2025-08-26T20:21:17.1932872Z ##[group]Run python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84
2025-08-26T20:21:17.1933662Z python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84
2025-08-26T20:21:17.1934670Z python3 -m tools.stats.monitor --log-interval "$MONITOR_LOG_INTERVAL" --data-collect-interval "$MONITOR_DATA_COLLECT_INTERVAL" > usage_log.txt 2>&1 &
2025-08-26T20:21:17.1935559Z echo "monitor-script-pid=${!}" >> "${GITHUB_OUTPUT}"
2025-08-26T20:21:17.1943037Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:21:17.1943434Z env:
2025-08-26T20:21:17.1943668Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:21:17.1943940Z   JOB_ID: 48946557718
2025-08-26T20:21:17.1944366Z   JOB_NAME: verify-cachebench-cpu-test / test (verify_cachebench, 1, 1, linux.2xlarge)
2025-08-26T20:21:17.1944878Z   WORKFLOW_NAME: trunk
2025-08-26T20:21:17.1945139Z   WORKFLOW_RUN_ID: 17248463647
2025-08-26T20:21:17.1945597Z   MONITOR_LOG_INTERVAL: 5
2025-08-26T20:21:17.1945874Z   MONITOR_DATA_COLLECT_INTERVAL: 1
2025-08-26T20:21:17.1946175Z ##[endgroup]
2025-08-26T20:21:19.4870448Z Defaulting to user installation because normal site-packages is not writeable
2025-08-26T20:21:20.3248790Z Collecting psutil==5.9.8
2025-08-26T20:21:20.3408880Z   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)
2025-08-26T20:21:20.4802520Z Collecting dataclasses_json==0.6.7
2025-08-26T20:21:20.4838298Z   Downloading dataclasses_json-0.6.7-py3-none-any.whl (28 kB)
2025-08-26T20:21:20.5373512Z Collecting nvidia-ml-py==11.525.84
2025-08-26T20:21:20.5404761Z   Downloading nvidia_ml_py-11.525.84-py3-none-any.whl (34 kB)
2025-08-26T20:21:20.5996542Z Collecting typing-inspect<1,>=0.4.0
2025-08-26T20:21:20.6028679Z   Downloading typing_inspect-0.9.0-py3-none-any.whl (8.8 kB)
2025-08-26T20:21:20.7803520Z Collecting marshmallow<4.0.0,>=3.18.0
2025-08-26T20:21:20.7839141Z   Downloading marshmallow-3.26.1-py3-none-any.whl (50 kB)
2025-08-26T20:21:20.9175798Z Collecting packaging>=17.0
2025-08-26T20:21:20.9209641Z   Downloading packaging-25.0-py3-none-any.whl (66 kB)
2025-08-26T20:21:21.0547648Z Collecting typing-extensions>=3.7.4
2025-08-26T20:21:21.0582808Z   Downloading typing_extensions-4.15.0-py3-none-any.whl (44 kB)
2025-08-26T20:21:21.1712620Z Collecting mypy-extensions>=0.3.0
2025-08-26T20:21:21.1748499Z   Downloading mypy_extensions-1.1.0-py3-none-any.whl (5.0 kB)
2025-08-26T20:21:21.4018390Z Installing collected packages: typing-extensions, packaging, mypy-extensions, typing-inspect, marshmallow, psutil, nvidia-ml-py, dataclasses-json
2025-08-26T20:21:22.3461420Z Successfully installed dataclasses-json-0.6.7 marshmallow-3.26.1 mypy-extensions-1.1.0 nvidia-ml-py-11.525.84 packaging-25.0 psutil-5.9.8 typing-extensions-4.15.0 typing-inspect-0.9.0
2025-08-26T20:21:22.6530305Z Prepare all required actions
2025-08-26T20:21:22.6530732Z Getting action download info
2025-08-26T20:21:22.7792035Z Download action repository 'seemethere/download-artifact-s3@v4' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6)
2025-08-26T20:21:23.2358567Z Download action repository 'actions/download-artifact@v4' (SHA:d3f86a106a0bac45b974a628896c90dbdf5c8093)
2025-08-26T20:21:24.5581688Z ##[group]Run ./.github/actions/download-build-artifacts
2025-08-26T20:21:24.5582064Z with:
2025-08-26T20:21:24.5582354Z   name: linux-jammy-py3.9-gcc11
2025-08-26T20:21:24.5582664Z   s3-bucket: gha-artifacts
2025-08-26T20:21:24.5582932Z env:
2025-08-26T20:21:24.5583137Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:21:24.5583403Z ##[endgroup]
2025-08-26T20:21:24.5641334Z ##[group]Run seemethere/download-artifact-s3@v4
2025-08-26T20:21:24.5641706Z with:
2025-08-26T20:21:24.5641947Z   name: linux-jammy-py3.9-gcc11
2025-08-26T20:21:24.5642253Z   s3-bucket: gha-artifacts
2025-08-26T20:21:24.5642576Z   region: us-east-1
2025-08-26T20:21:24.5642799Z env:
2025-08-26T20:21:24.5643015Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:21:24.5643300Z ##[endgroup]
2025-08-26T20:21:25.5384182Z (node:43546) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023.
2025-08-26T20:21:25.5384715Z 
2025-08-26T20:21:25.5384974Z Please migrate your code to use AWS SDK for JavaScript (v3).
2025-08-26T20:21:25.5385604Z For more information, check the migration guide at https://a.co/7PzMCcy
2025-08-26T20:21:25.5386188Z (Use `node --trace-warnings ...` to show where the warning was created)
2025-08-26T20:21:26.9563827Z Found 1 objects with prefix pytorch/pytorch/17248463647/linux-jammy-py3.9-gcc11/
2025-08-26T20:21:26.9564587Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip
2025-08-26T20:21:38.9305206Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip
2025-08-26T20:21:38.9311957Z Artifact download has finished successfully
2025-08-26T20:21:38.9474971Z ##[group]Run unzip -o artifacts.zip
2025-08-26T20:21:38.9475346Z unzip -o artifacts.zip
2025-08-26T20:21:38.9481196Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:21:38.9481580Z env:
2025-08-26T20:21:38.9481805Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:21:38.9482076Z ##[endgroup]
2025-08-26T20:21:38.9543957Z Archive:  artifacts.zip
2025-08-26T20:21:38.9544963Z    creating: dist/
2025-08-26T20:21:40.1170307Z   inflating: dist/torch-2.9.0a0+git262640f-cp39-cp39-linux_x86_64.whl  
2025-08-26T20:21:40.1289538Z   inflating: dist/.ninja_log         
2025-08-26T20:21:40.1290355Z    creating: build/custom_test_artifacts/
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2025-08-26T20:21:45.5470000Z   inflating: build/bin/operators_test  
2025-08-26T20:21:45.5525374Z   inflating: build/bin/packedtensoraccessor_test  
2025-08-26T20:21:45.5595701Z   inflating: build/bin/pow_test      
2025-08-26T20:21:45.5656547Z   inflating: build/bin/quantized_test  
2025-08-26T20:21:45.5710059Z   inflating: build/bin/reduce_ops_test  
2025-08-26T20:21:45.5764548Z   inflating: build/bin/reportMemoryUsage_test  
2025-08-26T20:21:45.5824141Z   inflating: build/bin/scalar_tensor_test  
2025-08-26T20:21:45.5886811Z   inflating: build/bin/scalar_test   
2025-08-26T20:21:45.5941528Z   inflating: build/bin/StorageUtils_test  
2025-08-26T20:21:45.5996997Z   inflating: build/bin/stride_properties_test  
2025-08-26T20:21:45.6054969Z   inflating: build/bin/test_parallel  
2025-08-26T20:21:45.6136368Z   inflating: build/bin/tensor_iterator_test  
2025-08-26T20:21:45.6190311Z   inflating: build/bin/thread_init_test  
2025-08-26T20:21:45.6248895Z   inflating: build/bin/type_ptr_test  
2025-08-26T20:21:45.6304716Z   inflating: build/bin/undefined_tensor_test  
2025-08-26T20:21:45.6367539Z   inflating: build/bin/type_test     
2025-08-26T20:21:45.6420356Z   inflating: build/bin/verify_api_visibility  
2025-08-26T20:21:45.6493432Z   inflating: build/bin/legacy_vmap_test  
2025-08-26T20:21:45.6548070Z   inflating: build/bin/weakref_test  
2025-08-26T20:21:45.6602925Z   inflating: build/bin/wrapdim_test  
2025-08-26T20:21:45.6657722Z   inflating: build/bin/xla_tensor_test  
2025-08-26T20:21:45.6720912Z   inflating: build/bin/IListRef_test  
2025-08-26T20:21:45.6828769Z   inflating: build/bin/List_test     
2025-08-26T20:21:45.6897924Z   inflating: build/bin/KernelFunction_test  
2025-08-26T20:21:45.7020032Z   inflating: build/bin/kernel_function_legacy_test  
2025-08-26T20:21:45.7117819Z   inflating: build/bin/kernel_function_test  
2025-08-26T20:21:45.7244955Z   inflating: build/bin/kernel_lambda_legacy_test  
2025-08-26T20:21:45.7348331Z   inflating: build/bin/kernel_lambda_test  
2025-08-26T20:21:45.7412053Z   inflating: build/bin/kernel_stackbased_test  
2025-08-26T20:21:45.7509572Z   inflating: build/bin/make_boxed_from_unboxed_functor_test  
2025-08-26T20:21:45.7564487Z   inflating: build/bin/CppSignature_test  
2025-08-26T20:21:45.7622846Z   inflating: build/bin/backend_fallback_test  
2025-08-26T20:21:45.7675354Z   inflating: build/bin/op_allowlist_test  
2025-08-26T20:21:45.7980804Z   inflating: build/bin/op_registration_test  
2025-08-26T20:21:45.8050642Z   inflating: build/bin/inline_container_test  
2025-08-26T20:21:45.9130274Z   inflating: build/bin/test_jit      
2025-08-26T20:21:45.9186869Z   inflating: build/bin/FileStoreTest  
2025-08-26T20:21:45.9244251Z   inflating: build/bin/HashStoreTest  
2025-08-26T20:21:45.9300258Z   inflating: build/bin/BackoffTest   
2025-08-26T20:21:45.9360778Z   inflating: build/bin/TCPStoreTest  
2025-08-26T20:21:45.9726129Z   inflating: build/bin/test_nativert  
2025-08-26T20:21:45.9728816Z   inflating: build/bin/example_allreduce  
2025-08-26T20:21:45.9787175Z   inflating: build/bin/test_dist_autograd  
2025-08-26T20:21:45.9856725Z   inflating: build/bin/ProcessGroupGlooTest  
2025-08-26T20:21:45.9927447Z   inflating: build/bin/test_cpp_rpc  
2025-08-26T20:21:46.1042560Z   inflating: build/bin/test_api      
2025-08-26T20:21:46.1045058Z   inflating: build/bin/parallel_benchmark  
2025-08-26T20:21:46.1383359Z   inflating: build/bin/test_lazy     
2025-08-26T20:21:46.1387475Z   inflating: build/bin/torch_shm_manager  
2025-08-26T20:21:46.1387982Z    creating: .additional_ci_files/
2025-08-26T20:21:46.1465061Z   inflating: .additional_ci_files/test-times.json  
2025-08-26T20:21:46.1758217Z   inflating: .additional_ci_files/test-class-times.json  
2025-08-26T20:21:46.1789949Z ##[group]Run rm artifacts.zip
2025-08-26T20:21:46.1790290Z rm artifacts.zip
2025-08-26T20:21:46.1796691Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:21:46.1797092Z env:
2025-08-26T20:21:46.1797318Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:21:46.1797593Z ##[endgroup]
2025-08-26T20:21:46.2120954Z ##[group]Run df -H
2025-08-26T20:21:46.2121219Z df -H
2025-08-26T20:21:46.2127080Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:21:46.2127460Z env:
2025-08-26T20:21:46.2127686Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:21:46.2127956Z ##[endgroup]
2025-08-26T20:21:46.2178800Z Filesystem        Size  Used Avail Use% Mounted on
2025-08-26T20:21:46.2179208Z devtmpfs          4.2M     0  4.2M   0% /dev
2025-08-26T20:21:46.2179552Z tmpfs             8.2G     0  8.2G   0% /dev/shm
2025-08-26T20:21:46.2179911Z tmpfs             3.3G  488k  3.3G   1% /run
2025-08-26T20:21:46.2196442Z /dev/nvme0n1p1    161G   69G   92G  43% /
2025-08-26T20:21:46.2197039Z tmpfs             8.2G   13k  8.2G   1% /tmp
2025-08-26T20:21:46.2197619Z /dev/nvme0n1p128   11M  1.4M  9.2M  13% /boot/efi
2025-08-26T20:21:46.2246925Z Prepare all required actions
2025-08-26T20:21:46.2247704Z Getting action download info
2025-08-26T20:21:46.3734396Z ##[group]Run ./.github/actions/download-td-artifacts
2025-08-26T20:21:46.3734766Z with:
2025-08-26T20:21:46.3734974Z env:
2025-08-26T20:21:46.3735197Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:21:46.3735458Z ##[endgroup]
2025-08-26T20:21:46.3766899Z ##[group]Run seemethere/download-artifact-s3@v4
2025-08-26T20:21:46.3767265Z with:
2025-08-26T20:21:46.3767477Z   name: td_results
2025-08-26T20:21:46.3767729Z   s3-bucket: gha-artifacts
2025-08-26T20:21:46.3768009Z   region: us-east-1
2025-08-26T20:21:46.3768245Z env:
2025-08-26T20:21:46.3768448Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:21:46.3768711Z ##[endgroup]
2025-08-26T20:21:46.8239214Z (node:43571) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023.
2025-08-26T20:21:46.8239724Z 
2025-08-26T20:21:46.8239982Z Please migrate your code to use AWS SDK for JavaScript (v3).
2025-08-26T20:21:46.8240908Z For more information, check the migration guide at https://a.co/7PzMCcy
2025-08-26T20:21:46.8241487Z (Use `node --trace-warnings ...` to show where the warning was created)
2025-08-26T20:21:46.9309635Z Found 1 objects with prefix pytorch/pytorch/17248463647/td_results/
2025-08-26T20:21:46.9310299Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/td_results.json
2025-08-26T20:21:47.0537786Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/td_results.json
2025-08-26T20:21:47.0543562Z Artifact download has finished successfully
2025-08-26T20:21:47.0690830Z ##[group]Run mkdir -p .additional_ci_files
2025-08-26T20:21:47.0691221Z mkdir -p .additional_ci_files
2025-08-26T20:21:47.0691672Z mv td_results.json .additional_ci_files/td_results.json || true
2025-08-26T20:21:47.0698662Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:21:47.0699041Z env:
2025-08-26T20:21:47.0699284Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:21:47.0699565Z ##[endgroup]
2025-08-26T20:21:47.0809884Z ##[group]Run .github/scripts/parse_ref.py
2025-08-26T20:21:47.0810551Z .github/scripts/parse_ref.py
2025-08-26T20:21:47.0818270Z shell: /usr/bin/bash -e {0}
2025-08-26T20:21:47.0818555Z env:
2025-08-26T20:21:47.0818788Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:21:47.0819064Z ##[endgroup]
2025-08-26T20:21:47.1042903Z Setting output branch=main
2025-08-26T20:21:47.1176222Z Prepare all required actions
2025-08-26T20:21:47.1176633Z Getting action download info
2025-08-26T20:21:47.2311638Z ##[group]Run ./.github/actions/filter-test-configs
2025-08-26T20:21:47.2311989Z with:
2025-08-26T20:21:47.2312413Z   github-token: ***
2025-08-26T20:21:47.2312921Z   test-matrix: {"include": [{"config": "verify_cachebench", "shard": 1, "num_shards": 1, "runner": "linux.2xlarge"}]}
2025-08-26T20:21:47.2313679Z   job-name: verify-cachebench-cpu-test / test (verify_cachebench, 1, 1, linux.2xlarge)
2025-08-26T20:21:47.2314183Z env:
2025-08-26T20:21:47.2314415Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:21:47.2314688Z ##[endgroup]
2025-08-26T20:21:47.2352089Z ##[group]Run nick-fields/retry@v3.0.0
2025-08-26T20:21:47.2352396Z with:
2025-08-26T20:21:47.2352612Z   shell: bash
2025-08-26T20:21:47.2352846Z   timeout_minutes: 10
2025-08-26T20:21:47.2353088Z   max_attempts: 5
2025-08-26T20:21:47.2353336Z   retry_wait_seconds: 30
2025-08-26T20:21:47.2354251Z   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

2025-08-26T20:21:47.2355129Z   polling_interval_seconds: 1
2025-08-26T20:21:47.2355414Z   warning_on_retry: true
2025-08-26T20:21:47.2355690Z   continue_on_error: false
2025-08-26T20:21:47.2355955Z env:
2025-08-26T20:21:47.2356206Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:21:47.2356629Z   GITHUB_TOKEN: ***
2025-08-26T20:21:47.2356871Z ##[endgroup]
2025-08-26T20:21:47.3442291Z + python3 -m pip install requests==2.27.1 pyyaml==6.0.2
2025-08-26T20:21:47.5799187Z Defaulting to user installation because normal site-packages is not writeable
2025-08-26T20:21:47.6938673Z Collecting requests==2.27.1
2025-08-26T20:21:47.7119735Z   Downloading requests-2.27.1-py2.py3-none-any.whl (63 kB)
2025-08-26T20:21:47.8660919Z Collecting pyyaml==6.0.2
2025-08-26T20:21:47.8697917Z   Downloading PyYAML-6.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (737 kB)
2025-08-26T20:21:47.8920063Z Requirement already satisfied: idna<4,>=2.5 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (2.10)
2025-08-26T20:21:47.8923820Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (1.25.10)
2025-08-26T20:21:47.9358232Z Collecting certifi>=2017.4.17
2025-08-26T20:21:47.9391248Z   Downloading certifi-2025.8.3-py3-none-any.whl (161 kB)
2025-08-26T20:21:48.3031191Z Collecting charset-normalizer~=2.0.0
2025-08-26T20:21:48.3070463Z   Downloading charset_normalizer-2.0.12-py3-none-any.whl (39 kB)
2025-08-26T20:21:48.3936227Z Installing collected packages: charset-normalizer, certifi, requests, pyyaml
2025-08-26T20:21:48.5019461Z Successfully installed certifi-2025.8.3 charset-normalizer-2.0.12 pyyaml-6.0.2 requests-2.27.1
2025-08-26T20:21:49.3215501Z Command completed after 1 attempt(s).
2025-08-26T20:21:49.3266084Z ##[group]Run set -x
2025-08-26T20:21:49.3266360Z set -x
2025-08-26T20:21:49.3266614Z 
2025-08-26T20:21:49.3267049Z # Use relative path here as this could be checked out anywhere, not necessarily
2025-08-26T20:21:49.3267548Z # in runner workspace
2025-08-26T20:21:49.3267954Z python3 "${GITHUB_ACTION_PATH}/../../scripts/parse_ref.py"
2025-08-26T20:21:49.3274689Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:21:49.3275078Z env:
2025-08-26T20:21:49.3275293Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:21:49.3275565Z ##[endgroup]
2025-08-26T20:21:49.3301620Z + python3 /home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/filter-test-configs/../../scripts/parse_ref.py
2025-08-26T20:21:49.3485394Z Setting output branch=main
2025-08-26T20:21:49.3555681Z ##[group]Run echo "Workflow: ${GITHUB_WORKFLOW}"
2025-08-26T20:21:49.3556094Z echo "Workflow: ${GITHUB_WORKFLOW}"
2025-08-26T20:21:49.3556440Z echo "Job name: ${JOB_NAME}"
2025-08-26T20:21:49.3556745Z 
2025-08-26T20:21:49.3557319Z # Use relative path here as this could be checked out anywhere, not necessarily
2025-08-26T20:21:49.3557806Z # in runner workspace
2025-08-26T20:21:49.3558250Z python3 "${GITHUB_ACTION_PATH}/../../scripts/filter_test_configs.py" \
2025-08-26T20:21:49.3558755Z   --workflow "${GITHUB_WORKFLOW}" \
2025-08-26T20:21:49.3559102Z   --job-name "${JOB_NAME}" \
2025-08-26T20:21:49.3559709Z   --test-matrix "{"include": [{"config": "verify_cachebench", "shard": 1, "num_shards": 1, "runner": "linux.2xlarge"}]}" \
2025-08-26T20:21:49.3560337Z   --selected-test-configs "" \
2025-08-26T20:21:49.3560683Z   --pr-number "${PR_NUMBER}" \
2025-08-26T20:21:49.3561006Z   --tag "${TAG}" \
2025-08-26T20:21:49.3561302Z   --event-name "${EVENT_NAME}" \
2025-08-26T20:21:49.3561620Z   --schedule "${SCHEDULE}" \
2025-08-26T20:21:49.3561942Z   --branch "${HEAD_BRANCH}"
2025-08-26T20:21:49.3567989Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:21:49.3568388Z env:
2025-08-26T20:21:49.3568600Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:21:49.3569180Z   GITHUB_TOKEN: ***
2025-08-26T20:21:49.3569627Z   JOB_NAME: verify-cachebench-cpu-test / test (verify_cachebench, 1, 1, linux.2xlarge)
2025-08-26T20:21:49.3570131Z   PR_NUMBER: 
2025-08-26T20:21:49.3570357Z   TAG: 
2025-08-26T20:21:49.3570557Z   EVENT_NAME: push
2025-08-26T20:21:49.3570797Z   SCHEDULE: 
2025-08-26T20:21:49.3571017Z   HEAD_BRANCH: main
2025-08-26T20:21:49.3571257Z ##[endgroup]
2025-08-26T20:21:49.3595282Z Workflow: trunk
2025-08-26T20:21:49.3595725Z Job name: verify-cachebench-cpu-test / test (verify_cachebench, 1, 1, linux.2xlarge)
2025-08-26T20:21:49.5481189Z Setting output keep-going=True
2025-08-26T20:21:49.5481588Z Setting output ci-verbose-test-logs=False
2025-08-26T20:21:49.5481960Z Setting output ci-test-showlocals=False
2025-08-26T20:21:49.5482317Z Setting output ci-no-test-timeout=False
2025-08-26T20:21:49.5482678Z Setting output ci-no-td=False
2025-08-26T20:21:49.5483003Z Setting output ci-td-distributed=False
2025-08-26T20:21:49.5483343Z Setting output is-unstable=False
2025-08-26T20:21:49.5483664Z Setting output reenabled-issues=
2025-08-26T20:21:49.5484284Z Setting output test-matrix={"include": [{"config": "verify_cachebench", "shard": 1, "num_shards": 1, "runner": "linux.2xlarge"}]}
2025-08-26T20:21:49.5484962Z Setting output is-test-matrix-empty=False
2025-08-26T20:21:49.5626798Z ##[group]Run echo "Filtered matrix:"
2025-08-26T20:21:49.5627168Z echo "Filtered matrix:"
2025-08-26T20:21:49.5627893Z echo "{"include": [{"config": "verify_cachebench", "shard": 1, "num_shards": 1, "runner": "linux.2xlarge"}]}"
2025-08-26T20:21:49.5628456Z 
2025-08-26T20:21:49.5628657Z echo
2025-08-26T20:21:49.5628942Z echo "Is the current job unstable? False"
2025-08-26T20:21:49.5629287Z 
2025-08-26T20:21:49.5629497Z echo
2025-08-26T20:21:49.5629759Z echo "Is keep-going label set? True"
2025-08-26T20:21:49.5630086Z 
2025-08-26T20:21:49.5630290Z echo
2025-08-26T20:21:49.5630525Z echo "Reenabled issues? "
2025-08-26T20:21:49.5637233Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:21:49.5637635Z env:
2025-08-26T20:21:49.5637862Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:21:49.5638135Z ##[endgroup]
2025-08-26T20:21:49.5663057Z Filtered matrix:
2025-08-26T20:21:49.5663858Z {include: [{config: verify_cachebench, shard: 1, num_shards: 1, runner: linux.2xlarge}]}
2025-08-26T20:21:49.5664556Z 
2025-08-26T20:21:49.5664751Z Is the current job unstable? False
2025-08-26T20:21:49.5665046Z 
2025-08-26T20:21:49.5665160Z Is keep-going label set? True
2025-08-26T20:21:49.5665443Z 
2025-08-26T20:21:49.5665548Z Reenabled issues? 
2025-08-26T20:21:49.5705881Z ##[group]Run echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}"
2025-08-26T20:21:49.5706434Z echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}"
2025-08-26T20:21:49.5711852Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:21:49.5712230Z env:
2025-08-26T20:21:49.5712454Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:21:49.5712722Z   JOB_TIMEOUT: 240
2025-08-26T20:21:49.5712944Z ##[endgroup]
2025-08-26T20:21:49.5760901Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-08-26T20:21:49.5761445Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-08-26T20:21:49.5761920Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-08-26T20:21:49.5767113Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:21:49.5767506Z env:
2025-08-26T20:21:49.5767729Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:21:49.5767996Z ##[endgroup]
2025-08-26T20:21:49.5865030Z ##[group]Run set -x
2025-08-26T20:21:49.5865493Z set -x
2025-08-26T20:21:49.5865715Z 
2025-08-26T20:21:49.5865982Z if [[ $TEST_CONFIG == 'multigpu' ]]; then
2025-08-26T20:21:49.5866396Z   TEST_COMMAND=.ci/pytorch/multigpu-test.sh
2025-08-26T20:21:49.5866814Z elif [[ $BUILD_ENVIRONMENT == *onnx* ]]; then
2025-08-26T20:21:49.5867182Z   TEST_COMMAND=.ci/onnx/test.sh
2025-08-26T20:21:49.5867498Z else
2025-08-26T20:21:49.5867761Z   TEST_COMMAND=.ci/pytorch/test.sh
2025-08-26T20:21:49.5868084Z fi
2025-08-26T20:21:49.5868285Z 
2025-08-26T20:21:49.5868560Z # Leaving 1GB for the runner and other things
2025-08-26T20:21:49.5869169Z TOTAL_AVAILABLE_MEMORY_IN_GB=$(awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo)
2025-08-26T20:21:49.5870142Z # https://docs.docker.com/engine/containers/resource_constraints/#--memory-swap-details, the 3GB swap
2025-08-26T20:21:49.5870869Z # comes from https://github.com/pytorch/test-infra/pull/6058
2025-08-26T20:21:49.5871427Z TOTAL_MEMORY_WITH_SWAP=$(("${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}" + 3))
2025-08-26T20:21:49.5871868Z 
2025-08-26T20:21:49.5872139Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then
2025-08-26T20:21:49.5872518Z   SHM_OPTS=
2025-08-26T20:21:49.5872779Z   JENKINS_USER=
2025-08-26T20:21:49.5873131Z   # ensure that docker container cleanly exits in 12 hours
2025-08-26T20:21:49.5873639Z   # if for some reason cleanup action doesn't stop container
2025-08-26T20:21:49.5874072Z   # when job is cancelled
2025-08-26T20:21:49.5874401Z   DOCKER_SHELL_CMD="sleep 12h"
2025-08-26T20:21:49.5874851Z else
2025-08-26T20:21:49.5875118Z   SHM_OPTS="--shm-size=${SHM_SIZE}"
2025-08-26T20:21:49.5875478Z   JENKINS_USER="--user jenkins"
2025-08-26T20:21:49.5875816Z   DOCKER_SHELL_CMD=
2025-08-26T20:21:49.5876080Z fi
2025-08-26T20:21:49.5876334Z 
2025-08-26T20:21:49.5876692Z # detached container should get cleaned up by teardown_ec2_linux
2025-08-26T20:21:49.5877259Z # TODO: Stop building test binaries as part of the build phase
2025-08-26T20:21:49.5877905Z # Used for GPU_FLAG, SHM_OPTS, JENKINS_USER and DOCKER_SHELL_CMD since that doesn't play nice
2025-08-26T20:21:49.5878460Z # shellcheck disable=SC2086,SC2090
2025-08-26T20:21:49.5878817Z container_name=$(docker run \
2025-08-26T20:21:49.5879144Z   ${GPU_FLAG:-} \
2025-08-26T20:21:49.5879458Z   ${SCCACHE_SERVER_PORT_DOCKER_FLAG:-} \
2025-08-26T20:21:49.5879811Z   -e BUILD_ENVIRONMENT \
2025-08-26T20:21:49.5880125Z   -e PR_NUMBER \
2025-08-26T20:21:49.5880404Z   -e GITHUB_ACTIONS \
2025-08-26T20:21:49.5880704Z   -e GITHUB_REPOSITORY \
2025-08-26T20:21:49.5881006Z   -e GITHUB_WORKFLOW \
2025-08-26T20:21:49.5881304Z   -e GITHUB_JOB \
2025-08-26T20:21:49.5881586Z   -e GITHUB_RUN_ID \
2025-08-26T20:21:49.5881876Z   -e GITHUB_RUN_NUMBER \
2025-08-26T20:21:49.5882186Z   -e GITHUB_RUN_ATTEMPT \
2025-08-26T20:21:49.5882477Z   -e JOB_ID \
2025-08-26T20:21:49.5882740Z   -e JOB_NAME \
2025-08-26T20:21:49.5883013Z   -e BASE_SHA \
2025-08-26T20:21:49.5883274Z   -e BRANCH \
2025-08-26T20:21:49.5883522Z   -e SHA1 \
2025-08-26T20:21:49.5883784Z   -e AWS_DEFAULT_REGION \
2025-08-26T20:21:49.5884096Z   -e IN_WHEEL_TEST \
2025-08-26T20:21:49.5884390Z   -e SHARD_NUMBER \
2025-08-26T20:21:49.5884662Z   -e TEST_CONFIG \
2025-08-26T20:21:49.5884948Z   -e NUM_TEST_SHARDS \
2025-08-26T20:21:49.5885257Z   -e REENABLED_ISSUES \
2025-08-26T20:21:49.5885571Z   -e CONTINUE_THROUGH_ERROR \
2025-08-26T20:21:49.5885980Z   -e VERBOSE_TEST_LOGS \
2025-08-26T20:21:49.5886293Z   -e TEST_SHOWLOCALS \
2025-08-26T20:21:49.5886594Z   -e NO_TEST_TIMEOUT \
2025-08-26T20:21:49.5886884Z   -e NO_TD \
2025-08-26T20:21:49.5887136Z   -e TD_DISTRIBUTED \
2025-08-26T20:21:49.5887431Z   -e PR_LABELS \
2025-08-26T20:21:49.5887742Z   -e MAX_JOBS="$(nproc --ignore=2)" \
2025-08-26T20:21:49.5888095Z   -e SCCACHE_BUCKET \
2025-08-26T20:21:49.5888378Z   -e SCCACHE_REGION \
2025-08-26T20:21:49.5888670Z   -e XLA_CUDA \
2025-08-26T20:21:49.5888970Z   -e XLA_CLANG_CACHE_S3_BUCKET_NAME \
2025-08-26T20:21:49.5889349Z   -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK \
2025-08-26T20:21:49.5889726Z   -e PYTORCH_TEST_RERUN_DISABLED_TESTS \
2025-08-26T20:21:49.5890116Z   -e SKIP_SCCACHE_INITIALIZATION=1 \
2025-08-26T20:21:49.5890476Z   -e HUGGING_FACE_HUB_TOKEN \
2025-08-26T20:21:49.5890828Z   -e VLLM_TEST_HUGGING_FACE_TOKEN \
2025-08-26T20:21:49.5891187Z   -e SCRIBE_GRAPHQL_ACCESS_TOKEN \
2025-08-26T20:21:49.5891512Z   -e DASHBOARD_TAG \
2025-08-26T20:21:49.5891811Z   -e ARTIFACTS_FILE_SUFFIX \
2025-08-26T20:21:49.5892190Z   --memory="${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}g" \
2025-08-26T20:21:49.5892627Z   --memory-swap="${TOTAL_MEMORY_WITH_SWAP}g" \
2025-08-26T20:21:49.5893049Z   --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \
2025-08-26T20:21:49.5893464Z   --security-opt seccomp=unconfined \
2025-08-26T20:21:49.5893820Z   --cap-add=SYS_PTRACE \
2025-08-26T20:21:49.5894126Z   --ipc=host \
2025-08-26T20:21:49.5894381Z   ${SHM_OPTS} \
2025-08-26T20:21:49.5894643Z   --tty \
2025-08-26T20:21:49.5894956Z   --detach \
2025-08-26T20:21:49.5895230Z   --name="${container_name}" \
2025-08-26T20:21:49.5895545Z   ${JENKINS_USER} \
2025-08-26T20:21:49.5895913Z   -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \
2025-08-26T20:21:49.5896331Z   -w /var/lib/jenkins/workspace \
2025-08-26T20:21:49.5896669Z   "${DOCKER_IMAGE}" \
2025-08-26T20:21:49.5896963Z   ${DOCKER_SHELL_CMD}
2025-08-26T20:21:49.5897227Z )
2025-08-26T20:21:49.5897529Z # Propagate download.pytorch.org IP to container
2025-08-26T20:21:49.5898230Z grep download.pytorch.org /etc/hosts | docker exec -i "${container_name}" sudo bash -c "/bin/cat >> /etc/hosts"
2025-08-26T20:21:49.5898984Z echo "DOCKER_CONTAINER_ID=${container_name}" >> "${GITHUB_ENV}"
2025-08-26T20:21:49.5899402Z 
2025-08-26T20:21:49.5899680Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then
2025-08-26T20:21:49.5900291Z   docker exec -t "${container_name}" sh -c "python3 -m pip install -r .ci/docker/requirements-ci.txt"
2025-08-26T20:21:49.5900842Z fi
2025-08-26T20:21:49.5901065Z 
2025-08-26T20:21:49.5901571Z docker exec -t "${container_name}" sh -c "python3 -m pip install $(echo dist/*.whl)[opt-einsum] && ${TEST_COMMAND}"
2025-08-26T20:21:49.5907164Z shell: /usr/bin/bash -e {0}
2025-08-26T20:21:49.5907440Z env:
2025-08-26T20:21:49.5907662Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:21:49.5907969Z   BUILD_ENVIRONMENT: linux-jammy-py3.9-gcc11
2025-08-26T20:21:49.5908309Z   PR_NUMBER: 
2025-08-26T20:21:49.5908555Z   GITHUB_REPOSITORY: pytorch/pytorch
2025-08-26T20:21:49.5908873Z   GITHUB_WORKFLOW: trunk
2025-08-26T20:21:49.5909124Z   GITHUB_JOB: test
2025-08-26T20:21:49.5909372Z   GITHUB_RUN_ID: 17248463647
2025-08-26T20:21:49.5909656Z   GITHUB_RUN_NUMBER: 141812
2025-08-26T20:21:49.5909940Z   GITHUB_RUN_ATTEMPT: 1
2025-08-26T20:21:49.5910186Z   JOB_ID: 48946557718
2025-08-26T20:21:49.5910635Z   JOB_NAME: verify-cachebench-cpu-test / test (verify_cachebench, 1, 1, linux.2xlarge)
2025-08-26T20:21:49.5911158Z   BRANCH: main
2025-08-26T20:21:49.5911425Z   SHA1: 262640fd220236042fbf4443cc163c8838c84c3d
2025-08-26T20:21:49.5911897Z   BASE_SHA: 262640fd220236042fbf4443cc163c8838c84c3d
2025-08-26T20:21:49.5912266Z   TEST_CONFIG: verify_cachebench
2025-08-26T20:21:49.5912563Z   SHARD_NUMBER: 1
2025-08-26T20:21:49.5912808Z   NUM_TEST_SHARDS: 1
2025-08-26T20:21:49.5913050Z   REENABLED_ISSUES: 
2025-08-26T20:21:49.5913314Z   CONTINUE_THROUGH_ERROR: True
2025-08-26T20:21:49.5913614Z   VERBOSE_TEST_LOGS: False
2025-08-26T20:21:49.5913893Z   TEST_SHOWLOCALS: False
2025-08-26T20:21:49.5914154Z   NO_TEST_TIMEOUT: False
2025-08-26T20:21:49.5914412Z   NO_TD: False
2025-08-26T20:21:49.5914647Z   TD_DISTRIBUTED: False
2025-08-26T20:21:49.5914970Z   SCCACHE_BUCKET: ossci-compiler-cache-circleci-v2
2025-08-26T20:21:49.5915336Z   SCCACHE_REGION: us-east-1
2025-08-26T20:21:49.5915608Z   SHM_SIZE: 1g
2025-08-26T20:21:49.5916462Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6
2025-08-26T20:21:49.5917396Z   XLA_CUDA: 
2025-08-26T20:21:49.5917762Z   XLA_CLANG_CACHE_S3_BUCKET_NAME: ossci-compiler-clang-cache-circleci-xla
2025-08-26T20:21:49.5918225Z   PYTORCH_TEST_CUDA_MEM_LEAK_CHECK: 0
2025-08-26T20:21:49.5918564Z   PYTORCH_TEST_RERUN_DISABLED_TESTS: 0
2025-08-26T20:21:49.5918879Z   DASHBOARD_TAG: 
2025-08-26T20:21:49.5919333Z   VLLM_TEST_HUGGING_FACE_TOKEN: ***
2025-08-26T20:21:49.5919755Z   HUGGING_FACE_HUB_TOKEN: ***
2025-08-26T20:21:49.5920184Z   SCRIBE_GRAPHQL_ACCESS_TOKEN: ***
2025-08-26T20:21:49.5920628Z   ARTIFACTS_FILE_SUFFIX: test-verify_cachebench-1-1-linux.2xlarge_48946557718
2025-08-26T20:21:49.5921098Z ##[endgroup]
2025-08-26T20:21:49.5944899Z + [[ verify_cachebench == \m\u\l\t\i\g\p\u ]]
2025-08-26T20:21:49.5945585Z + [[ linux-jammy-py3.9-gcc11 == *onnx* ]]
2025-08-26T20:21:49.5946148Z + TEST_COMMAND=.ci/pytorch/test.sh
2025-08-26T20:21:49.5948444Z ++ awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo
2025-08-26T20:21:49.6018463Z + TOTAL_AVAILABLE_MEMORY_IN_GB='14.244 '
2025-08-26T20:21:49.6018846Z + TOTAL_MEMORY_WITH_SWAP=17
2025-08-26T20:21:49.6019174Z + [[ linux-jammy-py3.9-gcc11 == *\s\3\9\0\x* ]]
2025-08-26T20:21:49.6019531Z + SHM_OPTS=--shm-size=1g
2025-08-26T20:21:49.6019817Z + JENKINS_USER='--user jenkins'
2025-08-26T20:21:49.6020095Z + DOCKER_SHELL_CMD=
2025-08-26T20:21:49.6027814Z +++ nproc --ignore=2
2025-08-26T20:21:49.6054107Z ++ 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=6 -e SCCACHE_BUCKET -e SCCACHE_REGION -e XLA_CUDA -e XLA_CLANG_CACHE_S3_BUCKET_NAME -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK -e PYTORCH_TEST_RERUN_DISABLED_TESTS -e SKIP_SCCACHE_INITIALIZATION=1 -e HUGGING_FACE_HUB_TOKEN -e VLLM_TEST_HUGGING_FACE_TOKEN -e SCRIBE_GRAPHQL_ACCESS_TOKEN -e DASHBOARD_TAG -e ARTIFACTS_FILE_SUFFIX --memory=14g --memory-swap=17g --env-file=/tmp/github_env_17248463647 --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-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6
2025-08-26T20:21:56.9888894Z + container_name=0369d32a889930d9332949b0eecd4b7e751a5ee52c28a36dccd55693e4575306
2025-08-26T20:21:56.9893979Z + grep download.pytorch.org /etc/hosts
2025-08-26T20:21:56.9895670Z + docker exec -i 0369d32a889930d9332949b0eecd4b7e751a5ee52c28a36dccd55693e4575306 sudo bash -c '/bin/cat >> /etc/hosts'
2025-08-26T20:21:57.1714434Z + echo DOCKER_CONTAINER_ID=0369d32a889930d9332949b0eecd4b7e751a5ee52c28a36dccd55693e4575306
2025-08-26T20:21:57.1715077Z + [[ linux-jammy-py3.9-gcc11 == *\s\3\9\0\x* ]]
2025-08-26T20:21:57.1718703Z ++ echo dist/torch-2.9.0a0+git262640f-cp39-cp39-linux_x86_64.whl
2025-08-26T20:21:57.1721043Z + docker exec -t 0369d32a889930d9332949b0eecd4b7e751a5ee52c28a36dccd55693e4575306 sh -c 'python3 -m pip install dist/torch-2.9.0a0+git262640f-cp39-cp39-linux_x86_64.whl[opt-einsum] && .ci/pytorch/test.sh'
2025-08-26T20:21:57.8274169Z Processing ./dist/torch-2.9.0a0+git262640f-cp39-cp39-linux_x86_64.whl (from torch==2.9.0a0+git262640f)
2025-08-26T20:21:58.3595303Z Requirement already satisfied: filelock in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from torch==2.9.0a0+git262640f->torch==2.9.0a0+git262640f) (3.19.1)
2025-08-26T20:21:58.3600129Z 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+git262640f->torch==2.9.0a0+git262640f) (4.15.0)
2025-08-26T20:21:58.3605397Z Requirement already satisfied: sympy>=1.13.3 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from torch==2.9.0a0+git262640f->torch==2.9.0a0+git262640f) (1.13.3)
2025-08-26T20:21:58.3610653Z Requirement already satisfied: networkx>=2.5.1 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from torch==2.9.0a0+git262640f->torch==2.9.0a0+git262640f) (2.8.8)
2025-08-26T20:21:58.3614816Z Requirement already satisfied: jinja2 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from torch==2.9.0a0+git262640f->torch==2.9.0a0+git262640f) (3.1.6)
2025-08-26T20:21:58.3620217Z Requirement already satisfied: fsspec>=0.8.5 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from torch==2.9.0a0+git262640f->torch==2.9.0a0+git262640f) (2025.3.0)
2025-08-26T20:21:58.3634870Z Requirement already satisfied: opt-einsum>=3.3 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from torch==2.9.0a0+git262640f->torch==2.9.0a0+git262640f) (3.3.0)
2025-08-26T20:21:58.4022778Z 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+git262640f->torch==2.9.0a0+git262640f) (1.22.4)
2025-08-26T20:21:58.4046972Z 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+git262640f->torch==2.9.0a0+git262640f) (1.3.0)
2025-08-26T20:21:58.4100869Z Requirement already satisfied: MarkupSafe>=2.0 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from jinja2->torch==2.9.0a0+git262640f->torch==2.9.0a0+git262640f) (3.0.2)
2025-08-26T20:21:59.5108846Z Installing collected packages: torch
2025-08-26T20:22:08.7875858Z 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.
2025-08-26T20:22:08.7876914Z dall-e 0.1 requires torchvision, which is not installed.
2025-08-26T20:22:08.7877389Z effdet 0.4.1 requires torchvision, which is not installed.
2025-08-26T20:22:08.7877994Z pytorch-labs-segment-anything-fast 0.2 requires torchao, which is not installed.
2025-08-26T20:22:08.7878792Z pytorch-labs-segment-anything-fast 0.2 requires torchvision>=0.17.0.dev20231026, which is not installed.
2025-08-26T20:22:08.7879595Z timm 1.0.14 requires torchvision, which is not installed.
2025-08-26T20:22:08.7880135Z Successfully installed torch-2.9.0a0+git262640f
2025-08-26T20:22:08.9468314Z + export TERM=vt100
2025-08-26T20:22:08.9468629Z + TERM=vt100
2025-08-26T20:22:08.9470475Z ++ dirname .ci/pytorch/test.sh
2025-08-26T20:22:08.9586294Z + source .ci/pytorch/common.sh
2025-08-26T20:22:08.9644657Z +++ dirname .ci/pytorch/common.sh
2025-08-26T20:22:08.9833390Z ++ source .ci/pytorch/common_utils.sh
2025-08-26T20:22:08.9890276Z +++ declare -f -t trap_add
2025-08-26T20:22:08.9894448Z ++ set -ex -o pipefail
2025-08-26T20:22:08.9895047Z ++ [[ linux-jammy-py3.9-gcc11 == *rocm* ]]
2025-08-26T20:22:08.9895455Z ++ BUILD_TEST_LIBTORCH=0
2025-08-26T20:22:08.9956515Z ++ dirname .ci/pytorch/test.sh
2025-08-26T20:22:08.9964067Z + source .ci/pytorch/common-build.sh
2025-08-26T20:22:09.0009709Z ++ [[ linux-jammy-py3.9-gcc11 != *win-* ]]
2025-08-26T20:22:09.0015836Z ++++ dirname .ci/pytorch/common-build.sh
2025-08-26T20:22:09.0023316Z +++ cd .ci/pytorch
2025-08-26T20:22:09.0023588Z +++ pwd -P
2025-08-26T20:22:09.0025861Z ++ script_dir=/var/lib/jenkins/workspace/.ci/pytorch
2025-08-26T20:22:09.0026288Z ++ [[ linux-jammy-py3.9-gcc11 == *-pch* ]]
2025-08-26T20:22:09.0026598Z ++ which sccache
2025-08-26T20:22:09.0202422Z ++ [[ -z ossci-compiler-cache-circleci-v2 ]]
2025-08-26T20:22:09.0202802Z ++ sccache --stop-server
2025-08-26T20:22:09.2476016Z ++ true
2025-08-26T20:22:09.2476341Z ++ rm -f /var/lib/jenkins/sccache_error.log
2025-08-26T20:22:09.2571171Z ++ trap_add sccache_epilogue EXIT
2025-08-26T20:22:09.2571592Z ++ trap_add_cmd=sccache_epilogue
2025-08-26T20:22:09.2571914Z ++ shift
2025-08-26T20:22:09.2572148Z ++ for trap_add_name in "$@"
2025-08-26T20:22:09.2577864Z ++++ trap -p EXIT
2025-08-26T20:22:09.2580733Z +++ eval 'extract_trap_cmd '
2025-08-26T20:22:09.2581266Z ++++ extract_trap_cmd
2025-08-26T20:22:09.2581653Z ++++ printf '%s\n' ''
2025-08-26T20:22:09.2581920Z +++ printf '%s\n' sccache_epilogue
2025-08-26T20:22:09.2583173Z ++ trap -- '
2025-08-26T20:22:09.2583483Z sccache_epilogue' EXIT
2025-08-26T20:22:09.2583891Z ++ [[ -n 1 ]]
2025-08-26T20:22:09.2584365Z ++ echo 'Skipping sccache server initialization, setting environment variables'
2025-08-26T20:22:09.2585113Z Skipping sccache server initialization, setting environment variables
2025-08-26T20:22:09.2585901Z ++ export SCCACHE_IDLE_TIMEOUT=0
2025-08-26T20:22:09.2586349Z ++ SCCACHE_IDLE_TIMEOUT=0
2025-08-26T20:22:09.2587006Z ++ export SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log
2025-08-26T20:22:09.2587580Z ++ SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log
2025-08-26T20:22:09.2588310Z ++ export RUST_LOG=sccache::server=error
2025-08-26T20:22:09.2588657Z ++ RUST_LOG=sccache::server=error
2025-08-26T20:22:09.2588970Z ++ sccache --zero-stats
2025-08-26T20:22:09.6962569Z Statistics zeroed.
2025-08-26T20:22:09.6966679Z ++ which ccache
2025-08-26T20:22:09.6998479Z + [[ linux-jammy-py3.9-gcc11 != *rocm* ]]
2025-08-26T20:22:09.6998855Z + [[ linux-jammy-py3.9-gcc11 != *s390x* ]]
2025-08-26T20:22:09.6999210Z + [[ -d /var/lib/jenkins/workspace ]]
2025-08-26T20:22:09.7001926Z ++ stat -c %u /var/lib/jenkins/workspace
2025-08-26T20:22:09.7297696Z + WORKSPACE_ORIGINAL_OWNER_ID=1000
2025-08-26T20:22:09.7298221Z + trap_add cleanup_workspace EXIT
2025-08-26T20:22:09.7298557Z + trap_add_cmd=cleanup_workspace
2025-08-26T20:22:09.7298850Z + shift
2025-08-26T20:22:09.7299074Z + for trap_add_name in "$@"
2025-08-26T20:22:09.7303113Z +++ trap -p EXIT
2025-08-26T20:22:09.7305853Z ++ eval 'extract_trap_cmd trap -- '\''
2025-08-26T20:22:09.7306450Z sccache_epilogue'\'' EXIT'
2025-08-26T20:22:09.7307017Z +++ extract_trap_cmd trap -- '
2025-08-26T20:22:09.7307416Z sccache_epilogue' EXIT
2025-08-26T20:22:09.7307707Z +++ printf '%s\n' '
2025-08-26T20:22:09.7308059Z sccache_epilogue'
2025-08-26T20:22:09.7308419Z ++ printf '%s\n' cleanup_workspace
2025-08-26T20:22:09.7308868Z + trap -- '
2025-08-26T20:22:09.7309255Z sccache_epilogue
2025-08-26T20:22:09.7309709Z cleanup_workspace' EXIT
2025-08-26T20:22:09.7310027Z + sudo chown -R jenkins /var/lib/jenkins/workspace
2025-08-26T20:22:14.0668865Z + git config --global --add safe.directory /var/lib/jenkins/workspace
2025-08-26T20:22:14.0835593Z + echo 'Environment variables:'
2025-08-26T20:22:14.0836167Z Environment variables:
2025-08-26T20:22:14.0836526Z + env
2025-08-26T20:22:14.0857900Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-08-26T20:22:14.0858738Z CONTINUE_THROUGH_ERROR=True
2025-08-26T20:22:14.0859278Z BUILD_ENVIRONMENT=linux-jammy-py3.9-gcc11
2025-08-26T20:22:14.0859932Z VLLM_TEST_HUGGING_FACE_TOKEN=***
2025-08-26T20:22:14.0860255Z HOSTNAME=0369d32a8899
2025-08-26T20:22:14.0860867Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_b6a0ed17-88ed-4d3b-b94a-80f50ba21905
2025-08-26T20:22:14.0861763Z GITHUB_ACTION=__run_2
2025-08-26T20:22:14.0862042Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0
2025-08-26T20:22:14.0862343Z GITHUB_RUN_NUMBER=141812
2025-08-26T20:22:14.0862629Z TEST_CONFIG=verify_cachebench
2025-08-26T20:22:14.0862940Z GITHUB_REPOSITORY_OWNER_ID=21003710
2025-08-26T20:22:14.0863290Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all
2025-08-26T20:22:14.0863606Z SCCACHE_IDLE_TIMEOUT=0
2025-08-26T20:22:14.0864092Z SCRIBE_GRAPHQL_ACCESS_TOKEN=***
2025-08-26T20:22:14.0864413Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot
2025-08-26T20:22:14.0864740Z GITHUB_REF_TYPE=branch
2025-08-26T20:22:14.0865026Z BASE_SHA=262640fd220236042fbf4443cc163c8838c84c3d
2025-08-26T20:22:14.0865468Z XLA_CUDA=
2025-08-26T20:22:14.0865707Z NCCL_LIB_DIR=/usr/local/cuda/lib64/
2025-08-26T20:22:14.0866152Z HUGGING_FACE_HUB_TOKEN=***
2025-08-26T20:22:14.0867915Z ***
2025-08-26T20:22:14.0868132Z GITHUB_REPOSITORY_ID=65600975
2025-08-26T20:22:14.0868430Z GITHUB_ACTIONS=true
2025-08-26T20:22:14.0868756Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log
2025-08-26T20:22:14.0869158Z SHA1=262640fd220236042fbf4443cc163c8838c84c3d
2025-08-26T20:22:14.0869522Z GITHUB_SHA=262640fd220236042fbf4443cc163c8838c84c3d
2025-08-26T20:22:14.0870051Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/trunk.yml@refs/heads/main
2025-08-26T20:22:14.0870535Z UCC_HOME=/usr
2025-08-26T20:22:14.0870773Z VERBOSE_TEST_LOGS=False
2025-08-26T20:22:14.0871027Z GITHUB_REF=refs/heads/main
2025-08-26T20:22:14.0871296Z SHARD_NUMBER=1
2025-08-26T20:22:14.0871536Z GITHUB_REF_PROTECTED=true
2025-08-26T20:22:14.0871806Z HOME=/var/lib/jenkins
2025-08-26T20:22:14.0872078Z GITHUB_API_URL=https://api.github.com
2025-08-26T20:22:14.0872418Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0
2025-08-26T20:22:14.0872718Z UCX_COMMIT=
2025-08-26T20:22:14.0872936Z USE_SYSTEM_NCCL=1
2025-08-26T20:22:14.0873365Z NUM_TEST_SHARDS=1
2025-08-26T20:22:14.0873586Z UCX_HOME=/usr
2025-08-26T20:22:14.0874188Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_b6a0ed17-88ed-4d3b-b94a-80f50ba21905
2025-08-26T20:22:14.0875052Z JOB_NAME=verify-cachebench-cpu-test / test (verify_cachebench, 1, 1, linux.2xlarge)
2025-08-26T20:22:14.0875897Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_b6a0ed17-88ed-4d3b-b94a-80f50ba21905
2025-08-26T20:22:14.0876736Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json
2025-08-26T20:22:14.0877326Z GITHUB_EVENT_NAME=push
2025-08-26T20:22:14.0877590Z DASHBOARD_TAG=
2025-08-26T20:22:14.0877830Z GITHUB_RUN_ID=17248463647
2025-08-26T20:22:14.0878091Z INSTALLED_OPENBLAS=
2025-08-26T20:22:14.0878734Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_b6a0ed17-88ed-4d3b-b94a-80f50ba21905
2025-08-26T20:22:14.0879463Z GITHUB_ACTOR=pytorchmergebot
2025-08-26T20:22:14.0879750Z PR_NUMBER=
2025-08-26T20:22:14.0879958Z DESIRED_CUDA=
2025-08-26T20:22:14.0880188Z GITHUB_RUN_ATTEMPT=1
2025-08-26T20:22:14.0880452Z ANACONDA_PYTHON_VERSION=3.9
2025-08-26T20:22:14.0880802Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql
2025-08-26T20:22:14.0881154Z TERM=vt100
2025-08-26T20:22:14.0881373Z INSTALLED_VISION=yes
2025-08-26T20:22:14.0881637Z BRANCH=main
2025-08-26T20:22:14.0881866Z SCCACHE_REGION=us-east-1
2025-08-26T20:22:14.0882136Z OPENSSL_ROOT_DIR=/opt/openssl
2025-08-26T20:22:14.0882429Z CUDA_PATH=/usr/local/cuda
2025-08-26T20:22:14.0882972Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux
2025-08-26T20:22:14.0883583Z GITHUB_SERVER_URL=https://github.com
2025-08-26T20:22:14.0883885Z UCC_COMMIT=
2025-08-26T20:22:14.0884109Z REENABLED_ISSUES=
2025-08-26T20:22:14.0884352Z DOCS=yes
2025-08-26T20:22:14.0884563Z SHLVL=1
2025-08-26T20:22:14.0884759Z MAX_JOBS=6
2025-08-26T20:22:14.0884989Z GITHUB_ACTOR_ID=97764156
2025-08-26T20:22:14.0885350Z GITHUB_WORKFLOW_SHA=262640fd220236042fbf4443cc163c8838c84c3d
2025-08-26T20:22:14.0885756Z GITHUB_REF_NAME=main
2025-08-26T20:22:14.0886225Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla
2025-08-26T20:22:14.0886675Z GITHUB_JOB=test
2025-08-26T20:22:14.0886915Z NO_TEST_TIMEOUT=False
2025-08-26T20:22:14.0887179Z TD_DISTRIBUTED=False
2025-08-26T20:22:14.0887442Z GITHUB_REPOSITORY=pytorch/pytorch
2025-08-26T20:22:14.0887757Z GITHUB_RETENTION_DAYS=90
2025-08-26T20:22:14.0888033Z OPENSSL_DIR=/opt/openssl
2025-08-26T20:22:14.0888319Z GITHUB_ACTION_REPOSITORY=
2025-08-26T20:22:14.0889171Z 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
2025-08-26T20:22:14.0890026Z GITHUB_BASE_REF=
2025-08-26T20:22:14.0890268Z INSTALLED_ACL=
2025-08-26T20:22:14.0890654Z ARTIFACTS_FILE_SUFFIX=test-verify_cachebench-1-1-linux.2xlarge_48946557718
2025-08-26T20:22:14.0891110Z CI=true
2025-08-26T20:22:14.0891341Z GITHUB_REPOSITORY_OWNER=pytorch
2025-08-26T20:22:14.0891676Z RUST_LOG=sccache::server=error
2025-08-26T20:22:14.0891960Z JOB_ID=48946557718
2025-08-26T20:22:14.0892185Z GITHUB_HEAD_REF=
2025-08-26T20:22:14.0892424Z GITHUB_ACTION_REF=
2025-08-26T20:22:14.0892720Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2
2025-08-26T20:22:14.0893090Z TEST_SHOWLOCALS=False
2025-08-26T20:22:14.0893336Z GITHUB_WORKFLOW=trunk
2025-08-26T20:22:14.0893605Z DEBIAN_FRONTEND=noninteractive
2025-08-26T20:22:14.0894264Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_b6a0ed17-88ed-4d3b-b94a-80f50ba21905
2025-08-26T20:22:14.0894934Z NO_TD=False
2025-08-26T20:22:14.0895159Z SKIP_SCCACHE_INITIALIZATION=1
2025-08-26T20:22:14.0895477Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/
2025-08-26T20:22:14.0895797Z _=/usr/bin/env
2025-08-26T20:22:14.0896118Z ++ python -c 'import site; print(site.getsitepackages()[0])'
2025-08-26T20:22:14.1495830Z + TORCH_INSTALL_DIR=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch
2025-08-26T20:22:14.1497196Z + TORCH_BIN_DIR=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/bin
2025-08-26T20:22:14.1498161Z + TORCH_LIB_DIR=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/lib
2025-08-26T20:22:14.1499005Z + TORCH_TEST_DIR=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/test
2025-08-26T20:22:14.1499484Z + BUILD_DIR=build
2025-08-26T20:22:14.1499734Z + BUILD_RENAMED_DIR=build_renamed
2025-08-26T20:22:14.1500047Z + BUILD_BIN_DIR=build/bin
2025-08-26T20:22:14.1500319Z + SHARD_NUMBER=1
2025-08-26T20:22:14.1500562Z + NUM_TEST_SHARDS=1
2025-08-26T20:22:14.1500853Z + export TORCH_SERIALIZATION_DEBUG=1
2025-08-26T20:22:14.1501203Z + TORCH_SERIALIZATION_DEBUG=1
2025-08-26T20:22:14.1501570Z + export VALGRIND=ON
2025-08-26T20:22:14.1501846Z + VALGRIND=ON
2025-08-26T20:22:14.1502248Z + [[ linux-jammy-py3.9-gcc11 == *clang9* ]]
2025-08-26T20:22:14.1502849Z + [[ linux-jammy-py3.9-gcc11 == *xpu* ]]
2025-08-26T20:22:14.1503179Z + detect_cuda_arch
2025-08-26T20:22:14.1503443Z + [[ linux-jammy-py3.9-gcc11 == *cuda* ]]
2025-08-26T20:22:14.1503768Z + [[ linux-jammy-py3.9-gcc11 == *s390x* ]]
2025-08-26T20:22:14.1504087Z + [[ 0 == \1 ]]
2025-08-26T20:22:14.1504307Z + [[ True == \1 ]]
2025-08-26T20:22:14.1504562Z + [[ linux-jammy-py3.9-gcc11 != *bazel* ]]
2025-08-26T20:22:14.1504895Z ++ realpath build/custom_test_artifacts
2025-08-26T20:22:14.1524759Z + CUSTOM_TEST_ARTIFACT_BUILD_DIR=/var/lib/jenkins/workspace/build/custom_test_artifacts
2025-08-26T20:22:14.1525407Z + [[ -n '' ]]
2025-08-26T20:22:14.1525653Z + echo 'Environment variables'
2025-08-26T20:22:14.1525950Z Environment variables
2025-08-26T20:22:14.1526184Z + env
2025-08-26T20:22:14.1546270Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-08-26T20:22:14.1547003Z CONTINUE_THROUGH_ERROR=True
2025-08-26T20:22:14.1547577Z BUILD_ENVIRONMENT=linux-jammy-py3.9-gcc11
2025-08-26T20:22:14.1548220Z VLLM_TEST_HUGGING_FACE_TOKEN=***
2025-08-26T20:22:14.1548563Z HOSTNAME=0369d32a8899
2025-08-26T20:22:14.1549311Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_b6a0ed17-88ed-4d3b-b94a-80f50ba21905
2025-08-26T20:22:14.1550231Z GITHUB_ACTION=__run_2
2025-08-26T20:22:14.1550557Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0
2025-08-26T20:22:14.1550875Z GITHUB_RUN_NUMBER=141812
2025-08-26T20:22:14.1551143Z TEST_CONFIG=verify_cachebench
2025-08-26T20:22:14.1551452Z GITHUB_REPOSITORY_OWNER_ID=21003710
2025-08-26T20:22:14.1551797Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all
2025-08-26T20:22:14.1552130Z SCCACHE_IDLE_TIMEOUT=0
2025-08-26T20:22:14.1552550Z SCRIBE_GRAPHQL_ACCESS_TOKEN=***
2025-08-26T20:22:14.1552872Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot
2025-08-26T20:22:14.1553199Z GITHUB_REF_TYPE=branch
2025-08-26T20:22:14.1553497Z BASE_SHA=262640fd220236042fbf4443cc163c8838c84c3d
2025-08-26T20:22:14.1553826Z XLA_CUDA=
2025-08-26T20:22:14.1554060Z NCCL_LIB_DIR=/usr/local/cuda/lib64/
2025-08-26T20:22:14.1554592Z HUGGING_FACE_HUB_TOKEN=***
2025-08-26T20:22:14.1554931Z ***
2025-08-26T20:22:14.1555150Z GITHUB_REPOSITORY_ID=65600975
2025-08-26T20:22:14.1555427Z GITHUB_ACTIONS=true
2025-08-26T20:22:14.1555742Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log
2025-08-26T20:22:14.1556143Z SHA1=262640fd220236042fbf4443cc163c8838c84c3d
2025-08-26T20:22:14.1556518Z GITHUB_SHA=262640fd220236042fbf4443cc163c8838c84c3d
2025-08-26T20:22:14.1557031Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/trunk.yml@refs/heads/main
2025-08-26T20:22:14.1557519Z UCC_HOME=/usr
2025-08-26T20:22:14.1557764Z TORCH_SERIALIZATION_DEBUG=1
2025-08-26T20:22:14.1558051Z VERBOSE_TEST_LOGS=False
2025-08-26T20:22:14.1558310Z GITHUB_REF=refs/heads/main
2025-08-26T20:22:14.1558582Z SHARD_NUMBER=1
2025-08-26T20:22:14.1558828Z GITHUB_REF_PROTECTED=true
2025-08-26T20:22:14.1559158Z HOME=/var/lib/jenkins
2025-08-26T20:22:14.1559447Z GITHUB_API_URL=https://api.github.com
2025-08-26T20:22:14.1559792Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0
2025-08-26T20:22:14.1560102Z UCX_COMMIT=
2025-08-26T20:22:14.1560461Z USE_SYSTEM_NCCL=1
2025-08-26T20:22:14.1573110Z NUM_TEST_SHARDS=1
2025-08-26T20:22:14.1573428Z UCX_HOME=/usr
2025-08-26T20:22:14.1574070Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_b6a0ed17-88ed-4d3b-b94a-80f50ba21905
2025-08-26T20:22:14.1574940Z JOB_NAME=verify-cachebench-cpu-test / test (verify_cachebench, 1, 1, linux.2xlarge)
2025-08-26T20:22:14.1575790Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_b6a0ed17-88ed-4d3b-b94a-80f50ba21905
2025-08-26T20:22:14.1576640Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json
2025-08-26T20:22:14.1577156Z GITHUB_EVENT_NAME=push
2025-08-26T20:22:14.1577445Z DASHBOARD_TAG=
2025-08-26T20:22:14.1577688Z GITHUB_RUN_ID=17248463647
2025-08-26T20:22:14.1577964Z INSTALLED_OPENBLAS=
2025-08-26T20:22:14.1578599Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_b6a0ed17-88ed-4d3b-b94a-80f50ba21905
2025-08-26T20:22:14.1579338Z GITHUB_ACTOR=pytorchmergebot
2025-08-26T20:22:14.1579629Z PR_NUMBER=
2025-08-26T20:22:14.1579900Z DESIRED_CUDA=
2025-08-26T20:22:14.1580122Z GITHUB_RUN_ATTEMPT=1
2025-08-26T20:22:14.1580381Z VALGRIND=ON
2025-08-26T20:22:14.1580614Z ANACONDA_PYTHON_VERSION=3.9
2025-08-26T20:22:14.1580972Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql
2025-08-26T20:22:14.1581323Z TERM=vt100
2025-08-26T20:22:14.1581543Z INSTALLED_VISION=yes
2025-08-26T20:22:14.1581791Z BRANCH=main
2025-08-26T20:22:14.1582021Z SCCACHE_REGION=us-east-1
2025-08-26T20:22:14.1582290Z OPENSSL_ROOT_DIR=/opt/openssl
2025-08-26T20:22:14.1582586Z CUDA_PATH=/usr/local/cuda
2025-08-26T20:22:14.1583130Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux
2025-08-26T20:22:14.1583736Z GITHUB_SERVER_URL=https://github.com
2025-08-26T20:22:14.1584063Z UCC_COMMIT=
2025-08-26T20:22:14.1584284Z REENABLED_ISSUES=
2025-08-26T20:22:14.1584514Z DOCS=yes
2025-08-26T20:22:14.1584718Z SHLVL=1
2025-08-26T20:22:14.1584917Z MAX_JOBS=6
2025-08-26T20:22:14.1585141Z GITHUB_ACTOR_ID=97764156
2025-08-26T20:22:14.1585686Z GITHUB_WORKFLOW_SHA=262640fd220236042fbf4443cc163c8838c84c3d
2025-08-26T20:22:14.1586229Z GITHUB_REF_NAME=main
2025-08-26T20:22:14.1586614Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla
2025-08-26T20:22:14.1587063Z GITHUB_JOB=test
2025-08-26T20:22:14.1587337Z NO_TEST_TIMEOUT=False
2025-08-26T20:22:14.1587676Z TD_DISTRIBUTED=False
2025-08-26T20:22:14.1587937Z GITHUB_REPOSITORY=pytorch/pytorch
2025-08-26T20:22:14.1588253Z GITHUB_RETENTION_DAYS=90
2025-08-26T20:22:14.1588550Z OPENSSL_DIR=/opt/openssl
2025-08-26T20:22:14.1588817Z GITHUB_ACTION_REPOSITORY=
2025-08-26T20:22:14.1589633Z 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
2025-08-26T20:22:14.1590488Z GITHUB_BASE_REF=
2025-08-26T20:22:14.1590727Z INSTALLED_ACL=
2025-08-26T20:22:14.1591115Z ARTIFACTS_FILE_SUFFIX=test-verify_cachebench-1-1-linux.2xlarge_48946557718
2025-08-26T20:22:14.1591600Z CI=true
2025-08-26T20:22:14.1591831Z GITHUB_REPOSITORY_OWNER=pytorch
2025-08-26T20:22:14.1592175Z RUST_LOG=sccache::server=error
2025-08-26T20:22:14.1592458Z JOB_ID=48946557718
2025-08-26T20:22:14.1592681Z GITHUB_HEAD_REF=
2025-08-26T20:22:14.1592936Z GITHUB_ACTION_REF=
2025-08-26T20:22:14.1593236Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2
2025-08-26T20:22:14.1593609Z TEST_SHOWLOCALS=False
2025-08-26T20:22:14.1593859Z GITHUB_WORKFLOW=trunk
2025-08-26T20:22:14.1594131Z DEBIAN_FRONTEND=noninteractive
2025-08-26T20:22:14.1594790Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_b6a0ed17-88ed-4d3b-b94a-80f50ba21905
2025-08-26T20:22:14.1595468Z NO_TD=False
2025-08-26T20:22:14.1595698Z SKIP_SCCACHE_INITIALIZATION=1
2025-08-26T20:22:14.1596017Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/
2025-08-26T20:22:14.1596340Z _=/usr/bin/env
2025-08-26T20:22:14.1596577Z + echo 'Testing pytorch'
2025-08-26T20:22:14.1596952Z Testing pytorch
2025-08-26T20:22:14.1597207Z + export LANG=C.UTF-8
2025-08-26T20:22:14.1597460Z + LANG=C.UTF-8
2025-08-26T20:22:14.1616445Z + PR_NUMBER=
2025-08-26T20:22:14.1616856Z + [[ verify_cachebench == \d\e\f\a\u\l\t ]]
2025-08-26T20:22:14.1617431Z + [[ verify_cachebench == \d\i\s\t\r\i\b\u\t\e\d ]]
2025-08-26T20:22:14.1617947Z + [[ verify_cachebench == \s\l\o\w ]]
2025-08-26T20:22:14.1618419Z + [[ linux-jammy-py3.9-gcc11 == *slow-gradcheck* ]]
2025-08-26T20:22:14.1618834Z + [[ linux-jammy-py3.9-gcc11 == *cuda* ]]
2025-08-26T20:22:14.1619174Z + [[ linux-jammy-py3.9-gcc11 == *rocm* ]]
2025-08-26T20:22:14.1619515Z + [[ linux-jammy-py3.9-gcc11 == *xpu* ]]
2025-08-26T20:22:14.1619851Z + [[ verify_cachebench == *crossref* ]]
2025-08-26T20:22:14.1620186Z + [[ linux-jammy-py3.9-gcc11 == *rocm* ]]
2025-08-26T20:22:14.1620509Z + [[ linux-jammy-py3.9-gcc11 == *xpu* ]]
2025-08-26T20:22:14.1620854Z + [[ linux-jammy-py3.9-gcc11 != *-bazel-* ]]
2025-08-26T20:22:14.1621190Z + pip_install ninja==1.10.2
2025-08-26T20:22:14.1621583Z + pip_install_pkg='python3 -m pip install --progress-bar off'
2025-08-26T20:22:14.1622054Z + python3 -m pip install --progress-bar off ninja==1.10.2
2025-08-26T20:22:14.7729244Z Collecting ninja==1.10.2
2025-08-26T20:22:14.7821547Z   Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl.metadata (5.0 kB)
2025-08-26T20:22:14.7931392Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl (108 kB)
2025-08-26T20:22:15.9129960Z Installing collected packages: ninja
2025-08-26T20:22:15.9130439Z   Attempting uninstall: ninja
2025-08-26T20:22:15.9142818Z     Found existing installation: ninja 1.11.1.3
2025-08-26T20:22:15.9176165Z     Uninstalling ninja-1.11.1.3:
2025-08-26T20:22:15.9327077Z       Successfully uninstalled ninja-1.11.1.3
2025-08-26T20:22:15.9974297Z Successfully installed ninja-1.10.2
2025-08-26T20:22:16.0918974Z + 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
2025-08-26T20:22:16.0921170Z + 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
2025-08-26T20:22:16.0922392Z + [[ linux-jammy-py3.9-gcc11 == *aarch64* ]]
2025-08-26T20:22:16.0922918Z + [[ linux-jammy-py3.9-gcc11 == *asan* ]]
2025-08-26T20:22:16.0923278Z + [[ linux-jammy-py3.9-gcc11 == *-debug* ]]
2025-08-26T20:22:16.0923768Z + [[ linux-jammy-py3.9-gcc11 != *-bazel-* ]]
2025-08-26T20:22:16.0924288Z + echo 'We are not in debug mode: linux-jammy-py3.9-gcc11. Expect the assertion to pass'
2025-08-26T20:22:16.0925005Z We are not in debug mode: linux-jammy-py3.9-gcc11. Expect the assertion to pass
2025-08-26T20:22:16.0925550Z + cd test
2025-08-26T20:22:16.0925918Z + python -c 'import torch; torch._C._crash_if_debug_asserts_fail(424242)'
2025-08-26T20:22:17.8059039Z + [[ verify_cachebench == \n\o\g\p\u\_\N\O\_\A\V\X\2 ]]
2025-08-26T20:22:17.8059706Z + [[ verify_cachebench == \n\o\g\p\u\_\A\V\X\5\1\2 ]]
2025-08-26T20:22:17.8060378Z + [[ verify_cachebench == \l\e\g\a\c\y\_\n\v\i\d\i\a\_\d\r\i\v\e\r ]]
2025-08-26T20:22:17.8063931Z + DYNAMO_BENCHMARK_FLAGS=()
2025-08-26T20:22:17.8064993Z + [[ verify_cachebench == *pr_time_benchmarks* ]]
2025-08-26T20:22:17.8065469Z + [[ verify_cachebench == *dynamo_eager* ]]
2025-08-26T20:22:17.8065897Z + [[ verify_cachebench == *aot_eager* ]]
2025-08-26T20:22:17.8066250Z + [[ verify_cachebench == *aot_inductor* ]]
2025-08-26T20:22:17.8066624Z + [[ verify_cachebench == *max_autotune_inductor* ]]
2025-08-26T20:22:17.8067006Z + [[ verify_cachebench == *inductor* ]]
2025-08-26T20:22:17.8067348Z + [[ verify_cachebench == *dynamic* ]]
2025-08-26T20:22:17.8067682Z + [[ verify_cachebench == *cpu* ]]
2025-08-26T20:22:17.8068018Z + DYNAMO_BENCHMARK_FLAGS+=(--device cuda)
2025-08-26T20:22:17.8095674Z + [[ linux-jammy-py3.9-gcc11 == *libtorch* ]]
2025-08-26T20:22:17.8096432Z + [[ linux-jammy-py3.9-gcc11 == *-bazel-* ]]
2025-08-26T20:22:17.8098924Z + cd test
2025-08-26T20:22:17.8099816Z + python -c 'import torch; print(torch.__config__.show())'
2025-08-26T20:22:19.0455480Z PyTorch built with:
2025-08-26T20:22:19.0455917Z   - GCC 11.4
2025-08-26T20:22:19.0456225Z   - C++ Version: 201703
2025-08-26T20:22:19.0457052Z   - Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications
2025-08-26T20:22:19.0458122Z   - Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d)
2025-08-26T20:22:19.0458782Z   - OpenMP 201511 (a.k.a. OpenMP 4.5)
2025-08-26T20:22:19.0459293Z   - LAPACK is enabled (usually provided by MKL)
2025-08-26T20:22:19.0459772Z   - NNPACK is enabled
2025-08-26T20:22:19.0460160Z   - CPU capability usage: AVX512
2025-08-26T20:22:19.0467440Z   - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, COMMIT_SHA=262640fd220236042fbf4443cc163c8838c84c3d, 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, 
2025-08-26T20:22:19.0474844Z 
2025-08-26T20:22:19.2841075Z + cd test
2025-08-26T20:22:19.2841494Z + python -c 'import torch; print(torch.__config__.parallel_info())'
2025-08-26T20:22:20.5121806Z ATen/Parallel:
2025-08-26T20:22:20.5122693Z 	at::get_num_threads() : 4
2025-08-26T20:22:20.5123112Z 	at::get_num_interop_threads() : 4
2025-08-26T20:22:20.5123564Z OpenMP 201511 (a.k.a. OpenMP 4.5)
2025-08-26T20:22:20.5124001Z 	omp_get_max_threads() : 4
2025-08-26T20:22:20.5124846Z Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications
2025-08-26T20:22:20.5125720Z 	mkl_get_max_threads() : 4
2025-08-26T20:22:20.5126271Z Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d)
2025-08-26T20:22:20.5126932Z std::thread::hardware_concurrency() : 8
2025-08-26T20:22:20.5127388Z Environment variables:
2025-08-26T20:22:20.5127754Z 	OMP_NUM_THREADS : [not set]
2025-08-26T20:22:20.5128159Z 	MKL_NUM_THREADS : [not set]
2025-08-26T20:22:20.5128562Z ATen parallel backend: OpenMP
2025-08-26T20:22:20.5128845Z 
2025-08-26T20:22:20.7398208Z + [[ verify_cachebench == *numpy_2* ]]
2025-08-26T20:22:20.7398628Z + [[ linux-jammy-py3.9-gcc11 == *aarch64* ]]
2025-08-26T20:22:20.7399054Z + [[ verify_cachebench == *backward* ]]
2025-08-26T20:22:20.7399381Z + [[ verify_cachebench == *xla* ]]
2025-08-26T20:22:20.7399742Z + [[ verify_cachebench == *vllm* ]]
2025-08-26T20:22:20.7400065Z + [[ verify_cachebench == *executorch* ]]
2025-08-26T20:22:20.7400473Z + [[ verify_cachebench == \j\i\t\_\l\e\g\a\c\y ]]
2025-08-26T20:22:20.7400847Z + [[ linux-jammy-py3.9-gcc11 == *libtorch* ]]
2025-08-26T20:22:20.7401256Z + [[ verify_cachebench == distributed ]]
2025-08-26T20:22:20.7401621Z + [[ verify_cachebench == *operator_benchmark* ]]
2025-08-26T20:22:20.7402084Z + [[ verify_cachebench == *inductor_distributed* ]]
2025-08-26T20:22:20.7402562Z + [[ verify_cachebench == *inductor-halide* ]]
2025-08-26T20:22:20.7403022Z + [[ verify_cachebench == *inductor-triton-cpu* ]]
2025-08-26T20:22:20.7403805Z + [[ verify_cachebench == *inductor-micro-benchmark* ]]
2025-08-26T20:22:20.7404183Z + [[ verify_cachebench == *huggingface* ]]
2025-08-26T20:22:20.7404578Z + [[ verify_cachebench == *timm* ]]
2025-08-26T20:22:20.7404902Z + [[ verify_cachebench == cachebench ]]
2025-08-26T20:22:20.7405306Z + [[ verify_cachebench == verify_cachebench ]]
2025-08-26T20:22:20.7405640Z + install_torchaudio
2025-08-26T20:22:20.7405926Z + local commit
2025-08-26T20:22:20.7406173Z ++ get_pinned_commit audio
2025-08-26T20:22:20.7406462Z ++ cat .github/ci_commit_pins/audio.txt
2025-08-26T20:22:20.7433640Z + commit=10a5002c6195bd95e34df8fe28ff8a2d55a2a922
2025-08-26T20:22:20.7434760Z + pip_build_and_install git+https://github.com/pytorch/audio.git@10a5002c6195bd95e34df8fe28ff8a2d55a2a922 dist/audio
2025-08-26T20:22:20.7435709Z + local build_target=git+https://github.com/pytorch/audio.git@10a5002c6195bd95e34df8fe28ff8a2d55a2a922
2025-08-26T20:22:20.7436313Z + local wheel_dir=dist/audio
2025-08-26T20:22:20.7436600Z + local found_whl=0
2025-08-26T20:22:20.7436870Z + for file in "${wheel_dir}"/*.whl
2025-08-26T20:22:20.7437194Z + [[ -f dist/audio/*.whl ]]
2025-08-26T20:22:20.7437466Z + '[' 0 == 0 ']'
2025-08-26T20:22:20.7438245Z + python3 -m pip wheel --no-build-isolation --no-deps --no-use-pep517 -w dist/audio git+https://github.com/pytorch/audio.git@10a5002c6195bd95e34df8fe28ff8a2d55a2a922
2025-08-26T20:22:21.1062742Z Collecting git+https://github.com/pytorch/audio.git@10a5002c6195bd95e34df8fe28ff8a2d55a2a922
2025-08-26T20:22:21.1068188Z   Cloning https://github.com/pytorch/audio.git (to revision 10a5002c6195bd95e34df8fe28ff8a2d55a2a922) to /tmp/pip-req-build-ls7c520e
2025-08-26T20:22:21.1275611Z   Running command git clone --filter=blob:none --quiet https://github.com/pytorch/audio.git /tmp/pip-req-build-ls7c520e
2025-08-26T20:22:24.1858574Z   Running command git rev-parse -q --verify 'sha^10a5002c6195bd95e34df8fe28ff8a2d55a2a922'
2025-08-26T20:22:24.1897601Z   Running command git fetch -q https://github.com/pytorch/audio.git 10a5002c6195bd95e34df8fe28ff8a2d55a2a922
2025-08-26T20:22:24.3102602Z   Resolved https://github.com/pytorch/audio.git to commit 10a5002c6195bd95e34df8fe28ff8a2d55a2a922
2025-08-26T20:22:24.3104021Z   Running command git submodule update --init --recursive -q
2025-08-26T20:22:26.8066236Z   Preparing metadata (setup.py) ... [?25l- done
2025-08-26T20:22:26.8111758Z [?25hBuilding wheels for collected packages: torchaudio
2025-08-26T20:22:26.8199925Z   DEPRECATION: Building 'torchaudio' using the legacy setup.py bdist_wheel mechanism, which will be removed in a future version. pip 25.3 will enforce this behaviour change. A possible replacement is to use the standardized build interface by setting the `--use-pep517` option, (possibly combined with `--no-build-isolation`), or adding a `pyproject.toml` file to the source tree of 'torchaudio'. Discussion can be found at https://github.com/pypa/pip/issues/6334
2025-08-26T20:23:17.7582764Z   Building wheel for torchaudio (setup.py) ... [?25l- \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - done
2025-08-26T20:23:17.7605645Z [?25h  Created wheel for torchaudio: filename=torchaudio-2.8.0a0+10a5002-cp39-cp39-linux_x86_64.whl size=491510 sha256=cfd15fee8f86c0051d317ee6d0bfe1d67e6e7df2cc4bd620d5b8587cd2f6766e
2025-08-26T20:23:17.7607278Z   Stored in directory: /var/lib/jenkins/.cache/pip/wheels/ce/00/ca/50d3269a544f50f33069f62336fc824e49a5516a49e80ebdf6
2025-08-26T20:23:17.7645363Z Successfully built torchaudio
2025-08-26T20:23:17.8767185Z + for file in "${wheel_dir}"/*.whl
2025-08-26T20:23:17.8767778Z + pip_install_whl dist/audio/torchaudio-2.8.0a0+10a5002-cp39-cp39-linux_x86_64.whl
2025-08-26T20:23:17.8768445Z + args=('dist/audio/torchaudio-2.8.0a0+10a5002-cp39-cp39-linux_x86_64.whl')
2025-08-26T20:23:17.8768905Z + local args
2025-08-26T20:23:17.8769298Z + [[ dist/audio/torchaudio-2.8.0a0+10a5002-cp39-cp39-linux_x86_64.whl == *\ * ]]
2025-08-26T20:23:17.8769773Z + for path in "${args[@]}"
2025-08-26T20:23:17.8772631Z + echo 'Installing dist/audio/torchaudio-2.8.0a0+10a5002-cp39-cp39-linux_x86_64.whl'
2025-08-26T20:23:17.8773323Z Installing dist/audio/torchaudio-2.8.0a0+10a5002-cp39-cp39-linux_x86_64.whl
2025-08-26T20:23:17.8774108Z + python3 -mpip install --no-index --no-deps dist/audio/torchaudio-2.8.0a0+10a5002-cp39-cp39-linux_x86_64.whl
2025-08-26T20:23:18.2667770Z Processing ./dist/audio/torchaudio-2.8.0a0+10a5002-cp39-cp39-linux_x86_64.whl
2025-08-26T20:23:18.2738368Z Installing collected packages: torchaudio
2025-08-26T20:23:18.4710085Z Successfully installed torchaudio-2.8.0a0+10a5002
2025-08-26T20:23:18.5113841Z + install_torchvision
2025-08-26T20:23:18.5114138Z + local orig_preload
2025-08-26T20:23:18.5114396Z + local commit
2025-08-26T20:23:18.5117446Z ++ get_pinned_commit vision
2025-08-26T20:23:18.5117808Z ++ cat .github/ci_commit_pins/vision.txt
2025-08-26T20:23:18.5136676Z + commit=966da7e46f65d6d49df3e31214470a4fe5cc8e66
2025-08-26T20:23:18.5137201Z + orig_preload=
2025-08-26T20:23:18.5137567Z + '[' -n '' ']'
2025-08-26T20:23:18.5137907Z + [[ linux-jammy-py3.9-gcc11 == *cuda* ]]
2025-08-26T20:23:18.5138882Z + pip_build_and_install git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 dist/vision
2025-08-26T20:23:18.5139887Z + local build_target=git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66
2025-08-26T20:23:18.5140661Z + local wheel_dir=dist/vision
2025-08-26T20:23:18.5140950Z + local found_whl=0
2025-08-26T20:23:18.5141199Z + for file in "${wheel_dir}"/*.whl
2025-08-26T20:23:18.5141517Z + [[ -f dist/vision/*.whl ]]
2025-08-26T20:23:18.5141795Z + '[' 0 == 0 ']'
2025-08-26T20:23:18.5142570Z + python3 -m pip wheel --no-build-isolation --no-deps --no-use-pep517 -w dist/vision git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66
2025-08-26T20:23:18.8781233Z Collecting git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66
2025-08-26T20:23:18.8786467Z   Cloning https://github.com/pytorch/vision.git (to revision 966da7e46f65d6d49df3e31214470a4fe5cc8e66) to /tmp/pip-req-build-7qypa1dn
2025-08-26T20:23:18.8827015Z   Running command git clone --filter=blob:none --quiet https://github.com/pytorch/vision.git /tmp/pip-req-build-7qypa1dn
2025-08-26T20:23:20.5312817Z   Running command git rev-parse -q --verify 'sha^966da7e46f65d6d49df3e31214470a4fe5cc8e66'
2025-08-26T20:23:20.5352284Z   Running command git fetch -q https://github.com/pytorch/vision.git 966da7e46f65d6d49df3e31214470a4fe5cc8e66
2025-08-26T20:23:20.6668941Z   Running command git checkout -q 966da7e46f65d6d49df3e31214470a4fe5cc8e66
2025-08-26T20:23:21.0063984Z   Resolved https://github.com/pytorch/vision.git to commit 966da7e46f65d6d49df3e31214470a4fe5cc8e66
2025-08-26T20:23:23.6417699Z   Preparing metadata (setup.py) ... [?25l- \ | / done
2025-08-26T20:23:23.6471521Z [?25hBuilding wheels for collected packages: torchvision
2025-08-26T20:23:23.6561313Z   DEPRECATION: Building 'torchvision' using the legacy setup.py bdist_wheel mechanism, which will be removed in a future version. pip 25.3 will enforce this behaviour change. A possible replacement is to use the standardized build interface by setting the `--use-pep517` option, (possibly combined with `--no-build-isolation`), or adding a `pyproject.toml` file to the source tree of 'torchvision'. Discussion can be found at https://github.com/pypa/pip/issues/6334
2025-08-26T20:25:11.6745448Z   Building wheel for torchvision (setup.py) ... [?25l- \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | done
2025-08-26T20:25:11.6792889Z [?25h  Created wheel for torchvision: filename=torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl size=1303290 sha256=e3d9a13fc5679e76432b4ca6aaadd6af492ae865793704cb50f4e3436559d1ca
2025-08-26T20:25:11.6794440Z   Stored in directory: /var/lib/jenkins/.cache/pip/wheels/33/6d/2f/9f3e65c401a351a98a00d9d72c4434fdbd3e10256b2d832157
2025-08-26T20:25:11.6840975Z Successfully built torchvision
2025-08-26T20:25:11.7705277Z + for file in "${wheel_dir}"/*.whl
2025-08-26T20:25:11.7705903Z + pip_install_whl dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl
2025-08-26T20:25:11.7706579Z + args=('dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl')
2025-08-26T20:25:11.7707051Z + local args
2025-08-26T20:25:11.7707455Z + [[ dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl == *\ * ]]
2025-08-26T20:25:11.7707955Z + for path in "${args[@]}"
2025-08-26T20:25:11.7708432Z + echo 'Installing dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl'
2025-08-26T20:25:11.7709122Z Installing dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl
2025-08-26T20:25:11.7709922Z + python3 -mpip install --no-index --no-deps dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl
2025-08-26T20:25:12.1486551Z Processing ./dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl
2025-08-26T20:25:12.1596468Z Installing collected packages: torchvision
2025-08-26T20:25:12.6243697Z Successfully installed torchvision-0.22.0a0+966da7e
2025-08-26T20:25:12.6670653Z + '[' -n '' ']'
2025-08-26T20:25:12.6670969Z + PYTHONPATH=/torchbench
2025-08-26T20:25:12.6671251Z + test_verify_cachebench
2025-08-26T20:25:12.6674787Z ++ mktemp -d
2025-08-26T20:25:12.6708519Z + TMP_TEST_REPORTS_DIR=/tmp/tmp.aRaFuHmQXG
2025-08-26T20:25:12.6708909Z + TEST_OUTPUT=/tmp/tmp.aRaFuHmQXG/test.json
2025-08-26T20:25:12.6709733Z + python benchmarks/dynamo/cachebench.py --mode training --device cpu --model nanogpt --benchmark torchbench --output /tmp/tmp.aRaFuHmQXG/test.json
2025-08-26T20:25:20.4815228Z 
2025-08-26T20:25:23.1032080Z loading model: 0it [00:00, ?it/s]number of parameters: 123.69M
2025-08-26T20:25:23.1097194Z num decayed parameter tensors: 50, with 124,354,560 parameters
2025-08-26T20:25:23.1097714Z num non-decayed parameter tensors: 98, with 121,344 parameters
2025-08-26T20:25:23.1100565Z using fused AdamW: False
2025-08-26T20:25:24.1876759Z 
2025-08-26T20:25:24.1877230Z loading model: 0it [00:03, ?it/s]
2025-08-26T20:25:24.1877974Z cpu  train nanogpt                            
2025-08-26T20:25:42.8000727Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8002142Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8003437Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8004353Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8005303Z     x = block(x)
2025-08-26T20:25:42.8005948Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:25:42.8006665Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:25:42.8007446Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 83, in forward
2025-08-26T20:25:42.8008337Z     q, k, v = self.c_attn(x).split(self.n_embd, dim=2)
2025-08-26T20:25:42.8008749Z 
2025-08-26T20:25:42.8009016Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8010272Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8011508Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8012275Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8013039Z     x = block(x)
2025-08-26T20:25:42.8013693Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:25:42.8014401Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:25:42.8015087Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 83, in forward
2025-08-26T20:25:42.8016037Z     q, k, v = self.c_attn(x).split(self.n_embd, dim=2)
2025-08-26T20:25:42.8016531Z 
2025-08-26T20:25:42.8016810Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8018462Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8019402Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8020175Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8020714Z     x = block(x)
2025-08-26T20:25:42.8021361Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:25:42.8022093Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:25:42.8022778Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 117, in forward
2025-08-26T20:25:42.8023595Z     y = self.resid_dropout(self.c_proj(y))
2025-08-26T20:25:42.8023890Z 
2025-08-26T20:25:42.8024075Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8025425Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8026536Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8027361Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8028106Z     x = block(x)
2025-08-26T20:25:42.8028909Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:25:42.8029884Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:25:42.8030795Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 117, in forward
2025-08-26T20:25:42.8031621Z     y = self.resid_dropout(self.c_proj(y))
2025-08-26T20:25:42.8032040Z 
2025-08-26T20:25:42.8032314Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8033348Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8034403Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8035136Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8035946Z     x = block(x)
2025-08-26T20:25:42.8036610Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:25:42.8037600Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:25:42.8038331Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 129, in forward
2025-08-26T20:25:42.8039081Z     x = self.c_fc(x)
2025-08-26T20:25:42.8039247Z 
2025-08-26T20:25:42.8039449Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8040851Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8042092Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8042855Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8043623Z     x = block(x)
2025-08-26T20:25:42.8044262Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:25:42.8044951Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:25:42.8045583Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 129, in forward
2025-08-26T20:25:42.8046245Z     x = self.c_fc(x)
2025-08-26T20:25:42.8046473Z 
2025-08-26T20:25:42.8046753Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8047960Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8049123Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8049770Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8050395Z     x = block(x)
2025-08-26T20:25:42.8050983Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:25:42.8051671Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:25:42.8052313Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 131, in forward
2025-08-26T20:25:42.8053061Z     x = self.c_proj(x)
2025-08-26T20:25:42.8053400Z 
2025-08-26T20:25:42.8053664Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8054550Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8055577Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8056338Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8057128Z     x = block(x)
2025-08-26T20:25:42.8057708Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:25:42.8058436Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:25:42.8059221Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 131, in forward
2025-08-26T20:25:42.8059977Z     x = self.c_proj(x)
2025-08-26T20:25:42.8060217Z 
2025-08-26T20:25:42.8060480Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8061669Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8062827Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8063517Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8064116Z     x = block(x)
2025-08-26T20:25:42.8064698Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:25:42.8065509Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:25:42.8066085Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 83, in forward
2025-08-26T20:25:42.8066839Z     q, k, v = self.c_attn(x).split(self.n_embd, dim=2)
2025-08-26T20:25:42.8067176Z 
2025-08-26T20:25:42.8067366Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8068582Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8069593Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8070280Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8071014Z     x = block(x)
2025-08-26T20:25:42.8071891Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:25:42.8072562Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:25:42.8073196Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 83, in forward
2025-08-26T20:25:42.8073964Z     q, k, v = self.c_attn(x).split(self.n_embd, dim=2)
2025-08-26T20:25:42.8074304Z 
2025-08-26T20:25:42.8074492Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8075861Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8076882Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8077550Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8078331Z     x = block(x)
2025-08-26T20:25:42.8079085Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:25:42.8079862Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:25:42.8080560Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 117, in forward
2025-08-26T20:25:42.8081245Z     y = self.resid_dropout(self.c_proj(y))
2025-08-26T20:25:42.8081539Z 
2025-08-26T20:25:42.8081760Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8083070Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8084150Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8084837Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8085602Z     x = block(x)
2025-08-26T20:25:42.8086203Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:25:42.8087025Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:25:42.8087991Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 117, in forward
2025-08-26T20:25:42.8088714Z     y = self.resid_dropout(self.c_proj(y))
2025-08-26T20:25:42.8089021Z 
2025-08-26T20:25:42.8089261Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8090464Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8091545Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8092337Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8093157Z     x = block(x)
2025-08-26T20:25:42.8093816Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:25:42.8094613Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:25:42.8095447Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 129, in forward
2025-08-26T20:25:42.8096275Z     x = self.c_fc(x)
2025-08-26T20:25:42.8096579Z 
2025-08-26T20:25:42.8096891Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8097969Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8098747Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8099222Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8099716Z     x = block(x)
2025-08-26T20:25:42.8100135Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:25:42.8100633Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:25:42.8101115Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 129, in forward
2025-08-26T20:25:42.8101610Z     x = self.c_fc(x)
2025-08-26T20:25:42.8101761Z 
2025-08-26T20:25:42.8101935Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8102745Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8103520Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8104105Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8104603Z     x = block(x)
2025-08-26T20:25:42.8105022Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:25:42.8105603Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:25:42.8106087Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 131, in forward
2025-08-26T20:25:42.8106585Z     x = self.c_proj(x)
2025-08-26T20:25:42.8106739Z 
2025-08-26T20:25:42.8106915Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8107715Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8108484Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8108954Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8109455Z     x = block(x)
2025-08-26T20:25:42.8109865Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:25:42.8110375Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:25:42.8110857Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 131, in forward
2025-08-26T20:25:42.8111356Z     x = self.c_proj(x)
2025-08-26T20:25:42.8111511Z 
2025-08-26T20:25:42.8111684Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8112495Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8113266Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8113736Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8114230Z     x = block(x)
2025-08-26T20:25:42.8114635Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:25:42.8115222Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:25:42.8115707Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 83, in forward
2025-08-26T20:25:42.8116245Z     q, k, v = self.c_attn(x).split(self.n_embd, dim=2)
2025-08-26T20:25:42.8116491Z 
2025-08-26T20:25:42.8116667Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8117471Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8118231Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8118699Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8119189Z     x = block(x)
2025-08-26T20:25:42.8119592Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:25:42.8120094Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:25:42.8120574Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 83, in forward
2025-08-26T20:25:42.8121107Z     q, k, v = self.c_attn(x).split(self.n_embd, dim=2)
2025-08-26T20:25:42.8121350Z 
2025-08-26T20:25:42.8121526Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8122322Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8123082Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8123552Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8124039Z     x = block(x)
2025-08-26T20:25:42.8124443Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:25:42.8124946Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:25:42.8125425Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 117, in forward
2025-08-26T20:25:42.8125942Z     y = self.resid_dropout(self.c_proj(y))
2025-08-26T20:25:42.8126170Z 
2025-08-26T20:25:42.8126342Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8127241Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8128005Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8128475Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8128963Z     x = block(x)
2025-08-26T20:25:42.8129365Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:25:42.8129871Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:25:42.8130354Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 117, in forward
2025-08-26T20:25:42.8130876Z     y = self.resid_dropout(self.c_proj(y))
2025-08-26T20:25:42.8131102Z 
2025-08-26T20:25:42.8131278Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8132083Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8132845Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8133317Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8133802Z     x = block(x)
2025-08-26T20:25:42.8134207Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:25:42.8134713Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:25:42.8135188Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 129, in forward
2025-08-26T20:25:42.8135675Z     x = self.c_fc(x)
2025-08-26T20:25:42.8135826Z 
2025-08-26T20:25:42.8136001Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8136798Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8137570Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8138041Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8138596Z     x = block(x)
2025-08-26T20:25:42.8139008Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:25:42.8139516Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:25:42.8140001Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 129, in forward
2025-08-26T20:25:42.8140708Z     x = self.c_fc(x)
2025-08-26T20:25:42.8140862Z 
2025-08-26T20:25:42.8141025Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8141846Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8142612Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8143087Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8143581Z     x = block(x)
2025-08-26T20:25:42.8143989Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:25:42.8144509Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:25:42.8144997Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 131, in forward
2025-08-26T20:25:42.8145575Z     x = self.c_proj(x)
2025-08-26T20:25:42.8145729Z 
2025-08-26T20:25:42.8145891Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8146706Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8147466Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8147939Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8148439Z     x = block(x)
2025-08-26T20:25:42.8148848Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:25:42.8149366Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:25:42.8149845Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 131, in forward
2025-08-26T20:25:42.8150342Z     x = self.c_proj(x)
2025-08-26T20:25:42.8150495Z 
2025-08-26T20:25:42.8150655Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8151592Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8152366Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8152833Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8153326Z     x = block(x)
2025-08-26T20:25:42.8153734Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:25:42.8154248Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:25:42.8154739Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 83, in forward
2025-08-26T20:25:42.8155281Z     q, k, v = self.c_attn(x).split(self.n_embd, dim=2)
2025-08-26T20:25:42.8155534Z 
2025-08-26T20:25:42.8155696Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8156526Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8157299Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8157771Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8158269Z     x = block(x)
2025-08-26T20:25:42.8158670Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:25:42.8159184Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:25:42.8159666Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 83, in forward
2025-08-26T20:25:42.8160204Z     q, k, v = self.c_attn(x).split(self.n_embd, dim=2)
2025-08-26T20:25:42.8160453Z 
2025-08-26T20:25:42.8160614Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8161439Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8162291Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8162769Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8163267Z     x = block(x)
2025-08-26T20:25:42.8163674Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:25:42.8164190Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:25:42.8164678Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 117, in forward
2025-08-26T20:25:42.8165203Z     y = self.resid_dropout(self.c_proj(y))
2025-08-26T20:25:42.8165432Z 
2025-08-26T20:25:42.8165595Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8166414Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8167185Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8167658Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8168143Z     x = block(x)
2025-08-26T20:25:42.8168564Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:25:42.8169077Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:25:42.8169561Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 117, in forward
2025-08-26T20:25:42.8170085Z     y = self.resid_dropout(self.c_proj(y))
2025-08-26T20:25:42.8170313Z 
2025-08-26T20:25:42.8170472Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8171294Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8172065Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8172535Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8173014Z     x = block(x)
2025-08-26T20:25:42.8173431Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:25:42.8173945Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:25:42.8174501Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 129, in forward
2025-08-26T20:25:42.8174997Z     x = self.c_fc(x)
2025-08-26T20:25:42.8175146Z 
2025-08-26T20:25:42.8175307Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8176127Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8176902Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8177370Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8177850Z     x = block(x)
2025-08-26T20:25:42.8178265Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:25:42.8178774Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:25:42.8179254Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 129, in forward
2025-08-26T20:25:42.8179746Z     x = self.c_fc(x)
2025-08-26T20:25:42.8179907Z 
2025-08-26T20:25:42.8180070Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8180898Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8181670Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8182141Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8182626Z     x = block(x)
2025-08-26T20:25:42.8183044Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:25:42.8183550Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:25:42.8184072Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 131, in forward
2025-08-26T20:25:42.8184562Z     x = self.c_proj(x)
2025-08-26T20:25:42.8184757Z 
2025-08-26T20:25:42.8184917Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8185889Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8186776Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8187253Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8187744Z     x = block(x)
2025-08-26T20:25:42.8188168Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:25:42.8188684Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:25:42.8189166Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 131, in forward
2025-08-26T20:25:42.8189655Z     x = self.c_proj(x)
2025-08-26T20:25:42.8189825Z 
2025-08-26T20:25:42.8189989Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8190819Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8191599Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8192076Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8192563Z     x = block(x)
2025-08-26T20:25:42.8192990Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:25:42.8193507Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:25:42.8193999Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 83, in forward
2025-08-26T20:25:42.8194530Z     q, k, v = self.c_attn(x).split(self.n_embd, dim=2)
2025-08-26T20:25:42.8194796Z 
2025-08-26T20:25:42.8194959Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8195783Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8196554Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8197045Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8197665Z     x = block(x)
2025-08-26T20:25:42.8198092Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:25:42.8198677Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:25:42.8199163Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 83, in forward
2025-08-26T20:25:42.8199690Z     q, k, v = self.c_attn(x).split(self.n_embd, dim=2)
2025-08-26T20:25:42.8199955Z 
2025-08-26T20:25:42.8200117Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8200938Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8201707Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8202178Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8202659Z     x = block(x)
2025-08-26T20:25:42.8203083Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:25:42.8203598Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:25:42.8204091Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 117, in forward
2025-08-26T20:25:42.8204609Z     y = self.resid_dropout(self.c_proj(y))
2025-08-26T20:25:42.8204852Z 
2025-08-26T20:25:42.8205014Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8205838Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8206610Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8207085Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8207569Z     x = block(x)
2025-08-26T20:25:42.8207983Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:25:42.8208492Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:25:42.8208974Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 117, in forward
2025-08-26T20:25:42.8209546Z     y = self.resid_dropout(self.c_proj(y))
2025-08-26T20:25:42.8209787Z 
2025-08-26T20:25:42.8209948Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8210773Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8211548Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8212019Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8212501Z     x = block(x)
2025-08-26T20:25:42.8212920Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:25:42.8213431Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:25:42.8213912Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 129, in forward
2025-08-26T20:25:42.8214398Z     x = self.c_fc(x)
2025-08-26T20:25:42.8214560Z 
2025-08-26T20:25:42.8214721Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8215548Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8216322Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8216779Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8217272Z     x = block(x)
2025-08-26T20:25:42.8217689Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:25:42.8218196Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:25:42.8218676Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 129, in forward
2025-08-26T20:25:42.8219161Z     x = self.c_fc(x)
2025-08-26T20:25:42.8219321Z 
2025-08-26T20:25:42.8219481Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8220303Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8221075Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8221531Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8222025Z     x = block(x)
2025-08-26T20:25:42.8222506Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:25:42.8223018Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:25:42.8223498Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 131, in forward
2025-08-26T20:25:42.8223983Z     x = self.c_proj(x)
2025-08-26T20:25:42.8224155Z 
2025-08-26T20:25:42.8224314Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8225253Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8226032Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8226489Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8226985Z     x = block(x)
2025-08-26T20:25:42.8227406Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:25:42.8227915Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:25:42.8228389Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 131, in forward
2025-08-26T20:25:42.8228885Z     x = self.c_proj(x)
2025-08-26T20:25:42.8229053Z 
2025-08-26T20:25:42.8229215Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8230043Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8230815Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8231273Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8231771Z     x = block(x)
2025-08-26T20:25:42.8232193Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:25:42.8232705Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:25:42.8233244Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 83, in forward
2025-08-26T20:25:42.8233780Z     q, k, v = self.c_attn(x).split(self.n_embd, dim=2)
2025-08-26T20:25:42.8234045Z 
2025-08-26T20:25:42.8234208Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8235031Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8235804Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8236265Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8236759Z     x = block(x)
2025-08-26T20:25:42.8237182Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:25:42.8237696Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:25:42.8238167Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 83, in forward
2025-08-26T20:25:42.8238712Z     q, k, v = self.c_attn(x).split(self.n_embd, dim=2)
2025-08-26T20:25:42.8238983Z 
2025-08-26T20:25:42.8239148Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8239982Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8240954Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8241418Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8241922Z     x = block(x)
2025-08-26T20:25:42.8242344Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:25:42.8242861Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:25:42.8243342Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 117, in forward
2025-08-26T20:25:42.8243874Z     y = self.resid_dropout(self.c_proj(y))
2025-08-26T20:25:42.8244119Z 
2025-08-26T20:25:42.8244283Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8245115Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8245993Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8246457Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8246958Z     x = block(x)
2025-08-26T20:25:42.8247384Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:25:42.8247903Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:25:42.8248378Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 117, in forward
2025-08-26T20:25:42.8248907Z     y = self.resid_dropout(self.c_proj(y))
2025-08-26T20:25:42.8249150Z 
2025-08-26T20:25:42.8249311Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8250132Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8250909Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8251363Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8251853Z     x = block(x)
2025-08-26T20:25:42.8252272Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:25:42.8252785Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:25:42.8253253Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 129, in forward
2025-08-26T20:25:42.8253746Z     x = self.c_fc(x)
2025-08-26T20:25:42.8253909Z 
2025-08-26T20:25:42.8254069Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8254899Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8255670Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8256126Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8256624Z     x = block(x)
2025-08-26T20:25:42.8257121Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:25:42.8257632Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:25:42.8258106Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 129, in forward
2025-08-26T20:25:42.8258605Z     x = self.c_fc(x)
2025-08-26T20:25:42.8258766Z 
2025-08-26T20:25:42.8258926Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8259752Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8260520Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8260976Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8261468Z     x = block(x)
2025-08-26T20:25:42.8261884Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:25:42.8262394Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:25:42.8262868Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 131, in forward
2025-08-26T20:25:42.8263370Z     x = self.c_proj(x)
2025-08-26T20:25:42.8263539Z 
2025-08-26T20:25:42.8263702Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8264582Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8265430Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8265903Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8266407Z     x = block(x)
2025-08-26T20:25:42.8266828Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:25:42.8267346Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:25:42.8267819Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 131, in forward
2025-08-26T20:25:42.8268322Z     x = self.c_proj(x)
2025-08-26T20:25:42.8268482Z 
2025-08-26T20:25:42.8268652Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8269560Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8270319Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8270788Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8271287Z     x = block(x)
2025-08-26T20:25:42.8271706Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:25:42.8272219Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:25:42.8272692Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 83, in forward
2025-08-26T20:25:42.8273236Z     q, k, v = self.c_attn(x).split(self.n_embd, dim=2)
2025-08-26T20:25:42.8273485Z 
2025-08-26T20:25:42.8273658Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8274571Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8275704Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8276446Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8277124Z     x = block(x)
2025-08-26T20:25:42.8277684Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:25:42.8278445Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:25:42.8279255Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 83, in forward
2025-08-26T20:25:42.8280207Z     q, k, v = self.c_attn(x).split(self.n_embd, dim=2)
2025-08-26T20:25:42.8280649Z 
2025-08-26T20:25:42.8280971Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8294878Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8296369Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8297319Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8297829Z     x = block(x)
2025-08-26T20:25:42.8298266Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:25:42.8298788Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:25:42.8299267Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 117, in forward
2025-08-26T20:25:42.8299796Z     y = self.resid_dropout(self.c_proj(y))
2025-08-26T20:25:42.8300042Z 
2025-08-26T20:25:42.8300207Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8301040Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8301818Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8302279Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8302783Z     x = block(x)
2025-08-26T20:25:42.8303211Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:25:42.8303727Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:25:42.8304204Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 117, in forward
2025-08-26T20:25:42.8304739Z     y = self.resid_dropout(self.c_proj(y))
2025-08-26T20:25:42.8304982Z 
2025-08-26T20:25:42.8305250Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8306086Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8306863Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8307328Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8307825Z     x = block(x)
2025-08-26T20:25:42.8308246Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:25:42.8308760Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:25:42.8309237Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 129, in forward
2025-08-26T20:25:42.8309735Z     x = self.c_fc(x)
2025-08-26T20:25:42.8309898Z 
2025-08-26T20:25:42.8310135Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8310966Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8311740Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8312202Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8312697Z     x = block(x)
2025-08-26T20:25:42.8313116Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:25:42.8313633Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:25:42.8314103Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 129, in forward
2025-08-26T20:25:42.8314598Z     x = self.c_fc(x)
2025-08-26T20:25:42.8314765Z 
2025-08-26T20:25:42.8314933Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8315766Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8316529Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8317004Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8317502Z     x = block(x)
2025-08-26T20:25:42.8317924Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:25:42.8318441Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:25:42.8318907Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 131, in forward
2025-08-26T20:25:42.8319404Z     x = self.c_proj(x)
2025-08-26T20:25:42.8319561Z 
2025-08-26T20:25:42.8319736Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8320566Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8321384Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8321861Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8322358Z     x = block(x)
2025-08-26T20:25:42.8322778Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:25:42.8323291Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:25:42.8323759Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 131, in forward
2025-08-26T20:25:42.8324258Z     x = self.c_proj(x)
2025-08-26T20:25:42.8324414Z 
2025-08-26T20:25:42.8324590Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8325414Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8326173Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8326644Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8327145Z     x = block(x)
2025-08-26T20:25:42.8327570Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:25:42.8328072Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:25:42.8328558Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 83, in forward
2025-08-26T20:25:42.8329104Z     q, k, v = self.c_attn(x).split(self.n_embd, dim=2)
2025-08-26T20:25:42.8329360Z 
2025-08-26T20:25:42.8329537Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8330360Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8331118Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8331595Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8332091Z     x = block(x)
2025-08-26T20:25:42.8332512Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:25:42.8333014Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:25:42.8333554Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 83, in forward
2025-08-26T20:25:42.8334095Z     q, k, v = self.c_attn(x).split(self.n_embd, dim=2)
2025-08-26T20:25:42.8334350Z 
2025-08-26T20:25:42.8334525Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8335345Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8336104Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8336578Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8337075Z     x = block(x)
2025-08-26T20:25:42.8337500Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:25:42.8338003Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:25:42.8338486Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 117, in forward
2025-08-26T20:25:42.8339023Z     y = self.resid_dropout(self.c_proj(y))
2025-08-26T20:25:42.8339255Z 
2025-08-26T20:25:42.8339440Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8340481Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8341248Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8341724Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8342227Z     x = block(x)
2025-08-26T20:25:42.8342648Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:25:42.8343148Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:25:42.8343636Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 117, in forward
2025-08-26T20:25:42.8344164Z     y = self.resid_dropout(self.c_proj(y))
2025-08-26T20:25:42.8344504Z 
2025-08-26T20:25:42.8344683Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8345597Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8346351Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8346829Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8347331Z     x = block(x)
2025-08-26T20:25:42.8347756Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:25:42.8348255Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:25:42.8348742Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 129, in forward
2025-08-26T20:25:42.8349239Z     x = self.c_fc(x)
2025-08-26T20:25:42.8349393Z 
2025-08-26T20:25:42.8349570Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8350393Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8351161Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8351633Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8352133Z     x = block(x)
2025-08-26T20:25:42.8352553Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:25:42.8353051Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:25:42.8353531Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 129, in forward
2025-08-26T20:25:42.8354025Z     x = self.c_fc(x)
2025-08-26T20:25:42.8354175Z 
2025-08-26T20:25:42.8354352Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8355168Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8355947Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8356416Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8356922Z     x = block(x)
2025-08-26T20:25:42.8357340Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:25:42.8357936Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:25:42.8358522Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 131, in forward
2025-08-26T20:25:42.8359021Z     x = self.c_proj(x)
2025-08-26T20:25:42.8359181Z 
2025-08-26T20:25:42.8359356Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8360174Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8360943Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8361413Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8361910Z     x = block(x)
2025-08-26T20:25:42.8362326Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:25:42.8362829Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:25:42.8363312Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 131, in forward
2025-08-26T20:25:42.8363815Z     x = self.c_proj(x)
2025-08-26T20:25:42.8363972Z 
2025-08-26T20:25:42.8364423Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8365235Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8366013Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8366488Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8366985Z     x = block(x)
2025-08-26T20:25:42.8367413Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:25:42.8367913Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:25:42.8368400Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 83, in forward
2025-08-26T20:25:42.8369185Z     q, k, v = self.c_attn(x).split(self.n_embd, dim=2)
2025-08-26T20:25:42.8369441Z 
2025-08-26T20:25:42.8369618Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8370451Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8371230Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8371707Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8372196Z     x = block(x)
2025-08-26T20:25:42.8372620Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:25:42.8373133Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:25:42.8373614Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 83, in forward
2025-08-26T20:25:42.8374145Z     q, k, v = self.c_attn(x).split(self.n_embd, dim=2)
2025-08-26T20:25:42.8374410Z 
2025-08-26T20:25:42.8374577Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8375410Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8376189Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8376661Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8377145Z     x = block(x)
2025-08-26T20:25:42.8377567Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:25:42.8378082Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:25:42.8378577Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 117, in forward
2025-08-26T20:25:42.8379092Z     y = self.resid_dropout(self.c_proj(y))
2025-08-26T20:25:42.8379332Z 
2025-08-26T20:25:42.8379494Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8380319Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8381090Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8381629Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8382112Z     x = block(x)
2025-08-26T20:25:42.8382532Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:25:42.8383040Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:25:42.8383527Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 117, in forward
2025-08-26T20:25:42.8384039Z     y = self.resid_dropout(self.c_proj(y))
2025-08-26T20:25:42.8384281Z 
2025-08-26T20:25:42.8384443Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8385351Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8386125Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8386594Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8387081Z     x = block(x)
2025-08-26T20:25:42.8387503Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:25:42.8388017Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:25:42.8388497Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 129, in forward
2025-08-26T20:25:42.8388979Z     x = self.c_fc(x)
2025-08-26T20:25:42.8389141Z 
2025-08-26T20:25:42.8389303Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8390127Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8390901Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8391370Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8391854Z     x = block(x)
2025-08-26T20:25:42.8392273Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:25:42.8392850Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:25:42.8393332Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 129, in forward
2025-08-26T20:25:42.8393820Z     x = self.c_fc(x)
2025-08-26T20:25:42.8393983Z 
2025-08-26T20:25:42.8394146Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8394973Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8395749Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8396206Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8396700Z     x = block(x)
2025-08-26T20:25:42.8397117Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:25:42.8397625Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:25:42.8398103Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 131, in forward
2025-08-26T20:25:42.8398592Z     x = self.c_proj(x)
2025-08-26T20:25:42.8398761Z 
2025-08-26T20:25:42.8398925Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8399753Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8400522Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8400976Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8401465Z     x = block(x)
2025-08-26T20:25:42.8401881Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:25:42.8402392Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:25:42.8402860Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 131, in forward
2025-08-26T20:25:42.8403358Z     x = self.c_proj(x)
2025-08-26T20:25:42.8403523Z 
2025-08-26T20:25:42.8403683Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8404511Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8405341Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8405797Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8406288Z     x = block(x)
2025-08-26T20:25:42.8406702Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:25:42.8407214Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:25:42.8407682Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 83, in forward
2025-08-26T20:25:42.8408221Z     q, k, v = self.c_attn(x).split(self.n_embd, dim=2)
2025-08-26T20:25:42.8408483Z 
2025-08-26T20:25:42.8408646Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8409469Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8410247Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8410710Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8411212Z     x = block(x)
2025-08-26T20:25:42.8411629Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:25:42.8412141Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:25:42.8412611Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 83, in forward
2025-08-26T20:25:42.8413153Z     q, k, v = self.c_attn(x).split(self.n_embd, dim=2)
2025-08-26T20:25:42.8413413Z 
2025-08-26T20:25:42.8413574Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8414399Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8415168Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8415626Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8416227Z     x = block(x)
2025-08-26T20:25:42.8416651Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:25:42.8417172Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:25:42.8417648Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 117, in forward
2025-08-26T20:25:42.8418177Z     y = self.resid_dropout(self.c_proj(y))
2025-08-26T20:25:42.8418424Z 
2025-08-26T20:25:42.8418588Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8419413Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8420184Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8420641Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8421140Z     x = block(x)
2025-08-26T20:25:42.8421556Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:25:42.8422071Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:25:42.8422543Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 117, in forward
2025-08-26T20:25:42.8423073Z     y = self.resid_dropout(self.c_proj(y))
2025-08-26T20:25:42.8423315Z 
2025-08-26T20:25:42.8423479Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8424308Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8425153Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8425617Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8426116Z     x = block(x)
2025-08-26T20:25:42.8426538Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:25:42.8427051Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:25:42.8427525Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 129, in forward
2025-08-26T20:25:42.8428029Z     x = self.c_fc(x)
2025-08-26T20:25:42.8428206Z 
2025-08-26T20:25:42.8428368Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8429254Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8430029Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8430483Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8430975Z     x = block(x)
2025-08-26T20:25:42.8431391Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:25:42.8431899Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:25:42.8432371Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 129, in forward
2025-08-26T20:25:42.8432863Z     x = self.c_fc(x)
2025-08-26T20:25:42.8433024Z 
2025-08-26T20:25:42.8433187Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8434014Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8434787Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8435249Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8435750Z     x = block(x)
2025-08-26T20:25:42.8436165Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:25:42.8436678Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:25:42.8437146Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 131, in forward
2025-08-26T20:25:42.8437646Z     x = self.c_proj(x)
2025-08-26T20:25:42.8437816Z 
2025-08-26T20:25:42.8437977Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8438800Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8439557Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8440093Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8440806Z     x = block(x)
2025-08-26T20:25:42.8441233Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:25:42.8441749Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:25:42.8442221Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 131, in forward
2025-08-26T20:25:42.8442729Z     x = self.c_proj(x)
2025-08-26T20:25:42.8442886Z 
2025-08-26T20:25:42.8443061Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8443892Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8444650Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8445124Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8445617Z     x = block(x)
2025-08-26T20:25:42.8446038Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:25:42.8446548Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:25:42.8447021Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 83, in forward
2025-08-26T20:25:42.8447562Z     q, k, v = self.c_attn(x).split(self.n_embd, dim=2)
2025-08-26T20:25:42.8447813Z 
2025-08-26T20:25:42.8447988Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8448812Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8449570Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8450036Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8450534Z     x = block(x)
2025-08-26T20:25:42.8450947Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:25:42.8451456Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:25:42.8451930Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 83, in forward
2025-08-26T20:25:42.8452469Z     q, k, v = self.c_attn(x).split(self.n_embd, dim=2)
2025-08-26T20:25:42.8452834Z 
2025-08-26T20:25:42.8453014Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8453838Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8454595Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8455065Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8455561Z     x = block(x)
2025-08-26T20:25:42.8455981Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:25:42.8456490Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:25:42.8456963Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 117, in forward
2025-08-26T20:25:42.8457490Z     y = self.resid_dropout(self.c_proj(y))
2025-08-26T20:25:42.8457723Z 
2025-08-26T20:25:42.8457901Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8458729Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8459489Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8459957Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8460454Z     x = block(x)
2025-08-26T20:25:42.8460874Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:25:42.8461375Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:25:42.8461861Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 117, in forward
2025-08-26T20:25:42.8462386Z     y = self.resid_dropout(self.c_proj(y))
2025-08-26T20:25:42.8462614Z 
2025-08-26T20:25:42.8462788Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8463700Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8464463Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8464932Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8465510Z     x = block(x)
2025-08-26T20:25:42.8465930Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:25:42.8466430Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:25:42.8466918Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 129, in forward
2025-08-26T20:25:42.8467417Z     x = self.c_fc(x)
2025-08-26T20:25:42.8467570Z 
2025-08-26T20:25:42.8467749Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8468579Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8469339Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8469817Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8470311Z     x = block(x)
2025-08-26T20:25:42.8470734Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:25:42.8471244Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:25:42.8471711Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 129, in forward
2025-08-26T20:25:42.8472206Z     x = self.c_fc(x)
2025-08-26T20:25:42.8472356Z 
2025-08-26T20:25:42.8472527Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8473351Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8474102Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8474571Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8475073Z     x = block(x)
2025-08-26T20:25:42.8475493Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:25:42.8475990Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:25:42.8476529Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 131, in forward
2025-08-26T20:25:42.8477025Z     x = self.c_proj(x)
2025-08-26T20:25:42.8477181Z 
2025-08-26T20:25:42.8477352Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8478176Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8478932Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8479403Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8479898Z     x = block(x)
2025-08-26T20:25:42.8480300Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:25:42.8480795Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:25:42.8481256Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 131, in forward
2025-08-26T20:25:42.8481744Z     x = self.c_proj(x)
2025-08-26T20:25:42.8481897Z 
2025-08-26T20:25:42.8482068Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8482890Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8483650Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8484106Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8484594Z     x = block(x)
2025-08-26T20:25:42.8484998Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:25:42.8485491Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:25:42.8485960Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 83, in forward
2025-08-26T20:25:42.8486486Z     q, k, v = self.c_attn(x).split(self.n_embd, dim=2)
2025-08-26T20:25:42.8486791Z 
2025-08-26T20:25:42.8486956Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8487775Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8488525Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8488985Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8489477Z     x = block(x)
2025-08-26T20:25:42.8489885Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:25:42.8490381Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:25:42.8490854Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 83, in forward
2025-08-26T20:25:42.8491384Z     q, k, v = self.c_attn(x).split(self.n_embd, dim=2)
2025-08-26T20:25:42.8491631Z 
2025-08-26T20:25:42.8491805Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8492613Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8493370Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8493824Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8494309Z     x = block(x)
2025-08-26T20:25:42.8494727Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:25:42.8495219Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:25:42.8495692Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 117, in forward
2025-08-26T20:25:42.8496211Z     y = self.resid_dropout(self.c_proj(y))
2025-08-26T20:25:42.8496440Z 
2025-08-26T20:25:42.8496610Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8497416Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8498178Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8498641Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8499125Z     x = block(x)
2025-08-26T20:25:42.8499593Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:25:42.8500087Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:25:42.8500561Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 117, in forward
2025-08-26T20:25:42.8501082Z     y = self.resid_dropout(self.c_proj(y))
2025-08-26T20:25:42.8501306Z 
2025-08-26T20:25:42.8501477Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8502284Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8503050Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8503510Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8503995Z     x = block(x)
2025-08-26T20:25:42.8504406Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:25:42.8504889Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:25:42.8505448Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 129, in forward
2025-08-26T20:25:42.8505933Z     x = self.c_fc(x)
2025-08-26T20:25:42.8506081Z 
2025-08-26T20:25:42.8506255Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8507059Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8507821Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8508282Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8508766Z     x = block(x)
2025-08-26T20:25:42.8509170Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:25:42.8509659Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:25:42.8510129Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 129, in forward
2025-08-26T20:25:42.8510674Z     x = self.c_fc(x)
2025-08-26T20:25:42.8510819Z 
2025-08-26T20:25:42.8510996Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8511799Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8512561Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8513021Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8513509Z     x = block(x)
2025-08-26T20:25:42.8513908Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:25:42.8514407Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:25:42.8514874Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 131, in forward
2025-08-26T20:25:42.8515362Z     x = self.c_proj(x)
2025-08-26T20:25:42.8515512Z 
2025-08-26T20:25:42.8515680Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8516491Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8517252Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8517713Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8518201Z     x = block(x)
2025-08-26T20:25:42.8518600Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:25:42.8519103Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:25:42.8519578Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 131, in forward
2025-08-26T20:25:42.8520068Z     x = self.c_proj(x)
2025-08-26T20:25:42.8520218Z 
2025-08-26T20:25:42.8520391Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8521194Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8521956Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8522483Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 240, in forward
2025-08-26T20:25:42.8522967Z     x[:, [-1], :]
2025-08-26T20:25:42.8523105Z 
2025-08-26T20:25:42.8523317Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8524133Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8524900Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8525366Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 239, in forward
2025-08-26T20:25:42.8525869Z     logits = self.lm_head(
2025-08-26T20:25:42.8526037Z 
2025-08-26T20:25:42.8526193Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8526995Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8527758Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8528217Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8528698Z     x = block(x)
2025-08-26T20:25:42.8529104Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:25:42.8529605Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:25:42.8530082Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 83, in forward
2025-08-26T20:25:42.8530747Z     q, k, v = self.c_attn(x).split(self.n_embd, dim=2)
2025-08-26T20:25:42.8530993Z 
2025-08-26T20:25:42.8531111Z cudagraph partition due to non gpu ops
2025-08-26T20:25:42.8531489Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8532299Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8533056Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8533574Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8534059Z     x = block(x)
2025-08-26T20:25:42.8534474Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:25:42.8534984Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:25:42.8535457Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 97, in forward
2025-08-26T20:25:42.8536008Z     y = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:25:42.8536292Z 
2025-08-26T20:25:42.8536449Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8537262Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8538020Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8538475Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8538959Z     x = block(x)
2025-08-26T20:25:42.8539371Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:25:42.8539867Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:25:42.8540521Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 117, in forward
2025-08-26T20:25:42.8541030Z     y = self.resid_dropout(self.c_proj(y))
2025-08-26T20:25:42.8541271Z 
2025-08-26T20:25:42.8541435Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8542262Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8543033Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8543493Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8543990Z     x = block(x)
2025-08-26T20:25:42.8544411Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:25:42.8544924Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:25:42.8545486Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 129, in forward
2025-08-26T20:25:42.8545991Z     x = self.c_fc(x)
2025-08-26T20:25:42.8546158Z 
2025-08-26T20:25:42.8546448Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8547282Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8548059Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8548518Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8549019Z     x = block(x)
2025-08-26T20:25:42.8549442Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:25:42.8549956Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:25:42.8550429Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 130, in forward
2025-08-26T20:25:42.8550927Z     x = new_gelu(x)
2025-08-26T20:25:42.8551359Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 26, in new_gelu
2025-08-26T20:25:42.8551856Z     0.5
2025-08-26T20:25:42.8551974Z 
2025-08-26T20:25:42.8552155Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8552970Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8553740Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8554213Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8554711Z     x = block(x)
2025-08-26T20:25:42.8555114Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:25:42.8555626Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:25:42.8556110Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 131, in forward
2025-08-26T20:25:42.8556608Z     x = self.c_proj(x)
2025-08-26T20:25:42.8556762Z 
2025-08-26T20:25:42.8556934Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8557818Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8558589Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8559056Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8559553Z     x = block(x)
2025-08-26T20:25:42.8559956Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:25:42.8560465Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:25:42.8560951Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 83, in forward
2025-08-26T20:25:42.8561494Z     q, k, v = self.c_attn(x).split(self.n_embd, dim=2)
2025-08-26T20:25:42.8561746Z 
2025-08-26T20:25:42.8561886Z cudagraph partition due to non gpu ops
2025-08-26T20:25:42.8562279Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8563105Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8563885Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8564361Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8564845Z     x = block(x)
2025-08-26T20:25:42.8565262Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:25:42.8565774Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:25:42.8566260Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 97, in forward
2025-08-26T20:25:42.8566816Z     y = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:25:42.8567109Z 
2025-08-26T20:25:42.8567271Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8568095Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8568864Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8569341Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8569884Z     x = block(x)
2025-08-26T20:25:42.8570363Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:25:42.8570881Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:25:42.8571364Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 117, in forward
2025-08-26T20:25:42.8571881Z     y = self.resid_dropout(self.c_proj(y))
2025-08-26T20:25:42.8572126Z 
2025-08-26T20:25:42.8572290Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8573116Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8573888Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8574360Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8574848Z     x = block(x)
2025-08-26T20:25:42.8575263Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:25:42.8575771Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:25:42.8576257Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 129, in forward
2025-08-26T20:25:42.8576738Z     x = self.c_fc(x)
2025-08-26T20:25:42.8576899Z 
2025-08-26T20:25:42.8577060Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8577885Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8578652Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8579121Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8579600Z     x = block(x)
2025-08-26T20:25:42.8580018Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:25:42.8580528Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:25:42.8581062Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 130, in forward
2025-08-26T20:25:42.8581544Z     x = new_gelu(x)
2025-08-26T20:25:42.8581969Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 26, in new_gelu
2025-08-26T20:25:42.8582459Z     0.5
2025-08-26T20:25:42.8582574Z 
2025-08-26T20:25:42.8582752Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8583560Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8584332Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8584799Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8585374Z     x = block(x)
2025-08-26T20:25:42.8585793Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:25:42.8586288Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:25:42.8586768Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 131, in forward
2025-08-26T20:25:42.8587267Z     x = self.c_proj(x)
2025-08-26T20:25:42.8587423Z 
2025-08-26T20:25:42.8587604Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8588407Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8589174Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8589646Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8590139Z     x = block(x)
2025-08-26T20:25:42.8590557Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:25:42.8591056Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:25:42.8591538Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 83, in forward
2025-08-26T20:25:42.8592079Z     q, k, v = self.c_attn(x).split(self.n_embd, dim=2)
2025-08-26T20:25:42.8592333Z 
2025-08-26T20:25:42.8592469Z cudagraph partition due to non gpu ops
2025-08-26T20:25:42.8592851Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8593734Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8594499Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8594969Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8595462Z     x = block(x)
2025-08-26T20:25:42.8595868Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:25:42.8596379Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:25:42.8596867Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 97, in forward
2025-08-26T20:25:42.8597434Z     y = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:25:42.8597710Z 
2025-08-26T20:25:42.8597871Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8598698Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8599469Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8599937Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8600430Z     x = block(x)
2025-08-26T20:25:42.8600833Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:25:42.8601339Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:25:42.8601821Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 117, in forward
2025-08-26T20:25:42.8602341Z     y = self.resid_dropout(self.c_proj(y))
2025-08-26T20:25:42.8602567Z 
2025-08-26T20:25:42.8602730Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8603546Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8604364Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8604826Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8605315Z     x = block(x)
2025-08-26T20:25:42.8605726Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:25:42.8606229Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:25:42.8606436Z 
2025-08-26T20:25:42.8606611Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8607429Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8608182Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8608648Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8609137Z     x = block(x)
2025-08-26T20:25:42.8609544Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:25:42.8610041Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:25:42.8610512Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 129, in forward
2025-08-26T20:25:42.8611003Z     x = self.c_fc(x)
2025-08-26T20:25:42.8611156Z 
2025-08-26T20:25:42.8611324Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8612147Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8612899Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8613361Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8613858Z     x = block(x)
2025-08-26T20:25:42.8614267Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:25:42.8614763Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:25:42.8615236Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 130, in forward
2025-08-26T20:25:42.8615719Z     x = new_gelu(x)
2025-08-26T20:25:42.8616145Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 26, in new_gelu
2025-08-26T20:25:42.8616620Z     0.5
2025-08-26T20:25:42.8616739Z 
2025-08-26T20:25:42.8616956Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8617779Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8618549Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8619018Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8619501Z     x = block(x)
2025-08-26T20:25:42.8619918Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:25:42.8620430Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:25:42.8620911Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 131, in forward
2025-08-26T20:25:42.8621396Z     x = self.c_proj(x)
2025-08-26T20:25:42.8621559Z 
2025-08-26T20:25:42.8621724Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8622548Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8623312Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8623777Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8624254Z     x = block(x)
2025-08-26T20:25:42.8624666Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:25:42.8625268Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:25:42.8625748Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 83, in forward
2025-08-26T20:25:42.8626272Z     q, k, v = self.c_attn(x).split(self.n_embd, dim=2)
2025-08-26T20:25:42.8626525Z 
2025-08-26T20:25:42.8626646Z cudagraph partition due to non gpu ops
2025-08-26T20:25:42.8627040Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8627973Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8628735Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8629193Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8629691Z     x = block(x)
2025-08-26T20:25:42.8630103Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:25:42.8630611Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:25:42.8631080Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 97, in forward
2025-08-26T20:25:42.8631637Z     y = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:25:42.8631921Z 
2025-08-26T20:25:42.8632082Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8632902Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8633672Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8634127Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8634620Z     x = block(x)
2025-08-26T20:25:42.8635029Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:25:42.8635532Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:25:42.8636002Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 117, in forward
2025-08-26T20:25:42.8636521Z     y = self.resid_dropout(self.c_proj(y))
2025-08-26T20:25:42.8636762Z 
2025-08-26T20:25:42.8636923Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8637740Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8638509Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8638961Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8639454Z     x = block(x)
2025-08-26T20:25:42.8639869Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:25:42.8640693Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:25:42.8641167Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 129, in forward
2025-08-26T20:25:42.8641655Z     x = self.c_fc(x)
2025-08-26T20:25:42.8641815Z 
2025-08-26T20:25:42.8641973Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8642791Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8643560Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8644017Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8644509Z     x = block(x)
2025-08-26T20:25:42.8644926Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:25:42.8645438Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:25:42.8645909Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 130, in forward
2025-08-26T20:25:42.8646410Z     x = new_gelu(x)
2025-08-26T20:25:42.8646837Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 26, in new_gelu
2025-08-26T20:25:42.8647327Z     0.5
2025-08-26T20:25:42.8647441Z 
2025-08-26T20:25:42.8647605Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8648425Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8649193Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8649661Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8650154Z     x = block(x)
2025-08-26T20:25:42.8650561Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:25:42.8651072Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:25:42.8651627Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 131, in forward
2025-08-26T20:25:42.8652120Z     x = self.c_proj(x)
2025-08-26T20:25:42.8652275Z 
2025-08-26T20:25:42.8652440Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8653265Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8654032Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8654498Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8654978Z     x = block(x)
2025-08-26T20:25:42.8655390Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:25:42.8655891Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:25:42.8656368Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 83, in forward
2025-08-26T20:25:42.8656900Z     q, k, v = self.c_attn(x).split(self.n_embd, dim=2)
2025-08-26T20:25:42.8657155Z 
2025-08-26T20:25:42.8657273Z cudagraph partition due to non gpu ops
2025-08-26T20:25:42.8657662Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8658485Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8659253Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8659705Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8660196Z     x = block(x)
2025-08-26T20:25:42.8660608Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:25:42.8661117Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:25:42.8661597Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 97, in forward
2025-08-26T20:25:42.8662155Z     y = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:25:42.8662440Z 
2025-08-26T20:25:42.8662601Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8663477Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8664246Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8664696Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8665276Z     x = block(x)
2025-08-26T20:25:42.8665689Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:25:42.8666198Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:25:42.8666679Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 117, in forward
2025-08-26T20:25:42.8667194Z     y = self.resid_dropout(self.c_proj(y))
2025-08-26T20:25:42.8667468Z 
2025-08-26T20:25:42.8667629Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8668450Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8669225Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8669682Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8670173Z     x = block(x)
2025-08-26T20:25:42.8670585Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:25:42.8671090Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:25:42.8671292Z 
2025-08-26T20:25:42.8671463Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8672269Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8673031Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8673498Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8673989Z     x = block(x)
2025-08-26T20:25:42.8674390Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:25:42.8674998Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:25:42.8675472Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 129, in forward
2025-08-26T20:25:42.8675972Z     x = self.c_fc(x)
2025-08-26T20:25:42.8676121Z 
2025-08-26T20:25:42.8676284Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8677104Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8677866Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8678331Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8678820Z     x = block(x)
2025-08-26T20:25:42.8679264Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:25:42.8679768Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:25:42.8680242Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 130, in forward
2025-08-26T20:25:42.8680732Z     x = new_gelu(x)
2025-08-26T20:25:42.8681141Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 26, in new_gelu
2025-08-26T20:25:42.8681626Z     0.5
2025-08-26T20:25:42.8681752Z 
2025-08-26T20:25:42.8681911Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8682723Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8683488Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8683940Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8684431Z     x = block(x)
2025-08-26T20:25:42.8684843Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:25:42.8685354Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:25:42.8685854Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 131, in forward
2025-08-26T20:25:42.8686346Z     x = self.c_proj(x)
2025-08-26T20:25:42.8686518Z 
2025-08-26T20:25:42.8686680Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8687551Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8688322Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8688777Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8689272Z     x = block(x)
2025-08-26T20:25:42.8689680Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:25:42.8690190Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:25:42.8690660Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 83, in forward
2025-08-26T20:25:42.8691194Z     q, k, v = self.c_attn(x).split(self.n_embd, dim=2)
2025-08-26T20:25:42.8691452Z 
2025-08-26T20:25:42.8691580Z cudagraph partition due to non gpu ops
2025-08-26T20:25:42.8691970Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8692794Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8693564Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8694035Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8694528Z     x = block(x)
2025-08-26T20:25:42.8694945Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:25:42.8695446Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:25:42.8695925Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 97, in forward
2025-08-26T20:25:42.8696490Z     y = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:25:42.8696771Z 
2025-08-26T20:25:42.8696948Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8697759Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8698583Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8699057Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8699555Z     x = block(x)
2025-08-26T20:25:42.8699976Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:25:42.8700477Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:25:42.8700963Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 117, in forward
2025-08-26T20:25:42.8701482Z     y = self.resid_dropout(self.c_proj(y))
2025-08-26T20:25:42.8701715Z 
2025-08-26T20:25:42.8701889Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8702698Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8703464Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8703926Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8704419Z     x = block(x)
2025-08-26T20:25:42.8704831Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:25:42.8705411Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:25:42.8705884Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 129, in forward
2025-08-26T20:25:42.8706375Z     x = self.c_fc(x)
2025-08-26T20:25:42.8706520Z 
2025-08-26T20:25:42.8706693Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8707503Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8708271Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8708733Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8709219Z     x = block(x)
2025-08-26T20:25:42.8709636Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:25:42.8710138Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:25:42.8710620Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 130, in forward
2025-08-26T20:25:42.8711167Z     x = new_gelu(x)
2025-08-26T20:25:42.8711589Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 26, in new_gelu
2025-08-26T20:25:42.8712067Z     0.5
2025-08-26T20:25:42.8712193Z 
2025-08-26T20:25:42.8712351Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8713168Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8713943Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8714399Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8714883Z     x = block(x)
2025-08-26T20:25:42.8715296Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:25:42.8715807Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:25:42.8716283Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 131, in forward
2025-08-26T20:25:42.8716771Z     x = self.c_proj(x)
2025-08-26T20:25:42.8716937Z 
2025-08-26T20:25:42.8717097Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8717918Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8718687Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8719138Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8719625Z     x = block(x)
2025-08-26T20:25:42.8720041Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:25:42.8720547Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:25:42.8721012Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 83, in forward
2025-08-26T20:25:42.8721547Z     q, k, v = self.c_attn(x).split(self.n_embd, dim=2)
2025-08-26T20:25:42.8721875Z 
2025-08-26T20:25:42.8721991Z cudagraph partition due to non gpu ops
2025-08-26T20:25:42.8722388Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8723214Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8723967Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8724437Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8724931Z     x = block(x)
2025-08-26T20:25:42.8725346Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:25:42.8725846Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:25:42.8726321Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 97, in forward
2025-08-26T20:25:42.8726890Z     y = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:25:42.8727165Z 
2025-08-26T20:25:42.8727340Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8728160Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8728917Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8729379Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8729868Z     x = block(x)
2025-08-26T20:25:42.8730277Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:25:42.8730776Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:25:42.8731258Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 117, in forward
2025-08-26T20:25:42.8731777Z     y = self.resid_dropout(self.c_proj(y))
2025-08-26T20:25:42.8732003Z 
2025-08-26T20:25:42.8732174Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8732990Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8733757Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8734280Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8734775Z     x = block(x)
2025-08-26T20:25:42.8735194Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:25:42.8735687Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:25:42.8735903Z 
2025-08-26T20:25:42.8736061Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8736881Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8737642Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8738108Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8747446Z     x = block(x)
2025-08-26T20:25:42.8747916Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:25:42.8748449Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:25:42.8748926Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 129, in forward
2025-08-26T20:25:42.8749425Z     x = self.c_fc(x)
2025-08-26T20:25:42.8749589Z 
2025-08-26T20:25:42.8749754Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8750585Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8751357Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8751817Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8752305Z     x = block(x)
2025-08-26T20:25:42.8752723Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:25:42.8753231Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:25:42.8753697Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 130, in forward
2025-08-26T20:25:42.8754361Z     x = new_gelu(x)
2025-08-26T20:25:42.8754783Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 26, in new_gelu
2025-08-26T20:25:42.8755277Z     0.5
2025-08-26T20:25:42.8755393Z 
2025-08-26T20:25:42.8755570Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8756386Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8757162Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8757629Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8758124Z     x = block(x)
2025-08-26T20:25:42.8758531Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:25:42.8759032Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:25:42.8759508Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 131, in forward
2025-08-26T20:25:42.8760005Z     x = self.c_proj(x)
2025-08-26T20:25:42.8760195Z 
2025-08-26T20:25:42.8760358Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8761186Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8761957Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8762422Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8762913Z     x = block(x)
2025-08-26T20:25:42.8763316Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:25:42.8763828Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:25:42.8764310Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 83, in forward
2025-08-26T20:25:42.8764850Z     q, k, v = self.c_attn(x).split(self.n_embd, dim=2)
2025-08-26T20:25:42.8765102Z 
2025-08-26T20:25:42.8765222Z cudagraph partition due to non gpu ops
2025-08-26T20:25:42.8765619Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8766521Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8767295Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8767769Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8768249Z     x = block(x)
2025-08-26T20:25:42.8768669Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:25:42.8769184Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:25:42.8769668Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 97, in forward
2025-08-26T20:25:42.8770224Z     y = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:25:42.8770514Z 
2025-08-26T20:25:42.8770679Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8771501Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8772272Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8772749Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8773233Z     x = block(x)
2025-08-26T20:25:42.8773652Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:25:42.8774159Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:25:42.8774642Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 117, in forward
2025-08-26T20:25:42.8775155Z     y = self.resid_dropout(self.c_proj(y))
2025-08-26T20:25:42.8775399Z 
2025-08-26T20:25:42.8775562Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8776385Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8777152Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8777672Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8778157Z     x = block(x)
2025-08-26T20:25:42.8778573Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:25:42.8779080Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:25:42.8779558Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 129, in forward
2025-08-26T20:25:42.8780041Z     x = self.c_fc(x)
2025-08-26T20:25:42.8780200Z 
2025-08-26T20:25:42.8780361Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8781184Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8781953Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8782419Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8782902Z     x = block(x)
2025-08-26T20:25:42.8783322Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:25:42.8783834Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:25:42.8784314Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 130, in forward
2025-08-26T20:25:42.8784794Z     x = new_gelu(x)
2025-08-26T20:25:42.8785311Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 26, in new_gelu
2025-08-26T20:25:42.8785805Z     0.5
2025-08-26T20:25:42.8785920Z 
2025-08-26T20:25:42.8786096Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8786906Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8787675Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8788145Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8788639Z     x = block(x)
2025-08-26T20:25:42.8789060Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:25:42.8789565Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:25:42.8790047Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 131, in forward
2025-08-26T20:25:42.8790650Z     x = self.c_proj(x)
2025-08-26T20:25:42.8790808Z 
2025-08-26T20:25:42.8790983Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8791799Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8792572Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8793043Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8793539Z     x = block(x)
2025-08-26T20:25:42.8793941Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:25:42.8794452Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:25:42.8794936Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 83, in forward
2025-08-26T20:25:42.8795480Z     q, k, v = self.c_attn(x).split(self.n_embd, dim=2)
2025-08-26T20:25:42.8795731Z 
2025-08-26T20:25:42.8795866Z cudagraph partition due to non gpu ops
2025-08-26T20:25:42.8796250Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8797074Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8797845Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8798314Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8798796Z     x = block(x)
2025-08-26T20:25:42.8799212Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:25:42.8799725Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:25:42.8800210Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 97, in forward
2025-08-26T20:25:42.8800778Z     y = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:25:42.8801114Z 
2025-08-26T20:25:42.8801278Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8802102Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8802874Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8803351Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8803834Z     x = block(x)
2025-08-26T20:25:42.8804257Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:25:42.8804764Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:25:42.8805248Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 117, in forward
2025-08-26T20:25:42.8805774Z     y = self.resid_dropout(self.c_proj(y))
2025-08-26T20:25:42.8806004Z 
2025-08-26T20:25:42.8806168Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8806993Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8807767Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8808245Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8808726Z     x = block(x)
2025-08-26T20:25:42.8809140Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:25:42.8809653Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:25:42.8809857Z 
2025-08-26T20:25:42.8810031Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8810853Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8811614Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8812084Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8812577Z     x = block(x)
2025-08-26T20:25:42.8812999Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:25:42.8813495Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:25:42.8814035Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 129, in forward
2025-08-26T20:25:42.8814532Z     x = self.c_fc(x)
2025-08-26T20:25:42.8814682Z 
2025-08-26T20:25:42.8814859Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8815682Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8816435Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8816906Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8817403Z     x = block(x)
2025-08-26T20:25:42.8817822Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:25:42.8818322Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:25:42.8818802Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 130, in forward
2025-08-26T20:25:42.8819304Z     x = new_gelu(x)
2025-08-26T20:25:42.8819733Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 26, in new_gelu
2025-08-26T20:25:42.8820207Z     0.5
2025-08-26T20:25:42.8820334Z 
2025-08-26T20:25:42.8820498Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8821319Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8822096Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8822567Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8823044Z     x = block(x)
2025-08-26T20:25:42.8823464Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:25:42.8823973Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:25:42.8824456Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 131, in forward
2025-08-26T20:25:42.8825015Z     x = self.c_proj(x)
2025-08-26T20:25:42.8825266Z 
2025-08-26T20:25:42.8825434Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8826262Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8827036Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8827510Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8827991Z     x = block(x)
2025-08-26T20:25:42.8828407Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:25:42.8828921Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:25:42.8829428Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 83, in forward
2025-08-26T20:25:42.8829960Z     q, k, v = self.c_attn(x).split(self.n_embd, dim=2)
2025-08-26T20:25:42.8830222Z 
2025-08-26T20:25:42.8830339Z cudagraph partition due to non gpu ops
2025-08-26T20:25:42.8830732Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8831554Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8832318Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8832777Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8833270Z     x = block(x)
2025-08-26T20:25:42.8833681Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:25:42.8834191Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:25:42.8834659Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 97, in forward
2025-08-26T20:25:42.8835228Z     y = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:25:42.8835523Z 
2025-08-26T20:25:42.8835707Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8836531Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8837302Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8837824Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8838318Z     x = block(x)
2025-08-26T20:25:42.8838741Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:25:42.8839255Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:25:42.8839725Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 117, in forward
2025-08-26T20:25:42.8840428Z     y = self.resid_dropout(self.c_proj(y))
2025-08-26T20:25:42.8840674Z 
2025-08-26T20:25:42.8840837Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8841664Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8842435Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8842899Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8843401Z     x = block(x)
2025-08-26T20:25:42.8843823Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:25:42.8844332Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:25:42.8844801Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 129, in forward
2025-08-26T20:25:42.8845297Z     x = self.c_fc(x)
2025-08-26T20:25:42.8845461Z 
2025-08-26T20:25:42.8845620Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8846439Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8847205Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8847658Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8848149Z     x = block(x)
2025-08-26T20:25:42.8848683Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:25:42.8849196Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:25:42.8849668Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 130, in forward
2025-08-26T20:25:42.8850170Z     x = new_gelu(x)
2025-08-26T20:25:42.8850590Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 26, in new_gelu
2025-08-26T20:25:42.8851079Z     0.5
2025-08-26T20:25:42.8851191Z 
2025-08-26T20:25:42.8851355Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8852180Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8852948Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8853420Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8853504Z     x = block(x)
2025-08-26T20:25:42.8853786Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:25:42.8853894Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:25:42.8854168Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 131, in forward
2025-08-26T20:25:42.8854274Z     x = self.c_proj(x)
2025-08-26T20:25:42.8854278Z 
2025-08-26T20:25:42.8854438Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8854985Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8855086Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8855355Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8855449Z     x = block(x)
2025-08-26T20:25:42.8855719Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:25:42.8855835Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:25:42.8856103Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 83, in forward
2025-08-26T20:25:42.8856241Z     q, k, v = self.c_attn(x).split(self.n_embd, dim=2)
2025-08-26T20:25:42.8856246Z 
2025-08-26T20:25:42.8856445Z cudagraph partition due to non gpu ops
2025-08-26T20:25:42.8856607Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8857156Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8857260Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8857543Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8857629Z     x = block(x)
2025-08-26T20:25:42.8857898Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:25:42.8858017Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:25:42.8858287Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 97, in forward
2025-08-26T20:25:42.8858467Z     y = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:25:42.8858475Z 
2025-08-26T20:25:42.8858635Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8859176Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8859294Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8859566Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8859667Z     x = block(x)
2025-08-26T20:25:42.8859937Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:25:42.8860038Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:25:42.8860342Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 117, in forward
2025-08-26T20:25:42.8860462Z     y = self.resid_dropout(self.c_proj(y))
2025-08-26T20:25:42.8860467Z 
2025-08-26T20:25:42.8860638Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8861230Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8861337Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8861619Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8861705Z     x = block(x)
2025-08-26T20:25:42.8861985Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:25:42.8862087Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:25:42.8862091Z 
2025-08-26T20:25:42.8862262Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8862794Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8862895Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8863179Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8863271Z     x = block(x)
2025-08-26T20:25:42.8863549Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:25:42.8863650Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:25:42.8863924Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 129, in forward
2025-08-26T20:25:42.8864023Z     x = self.c_fc(x)
2025-08-26T20:25:42.8864027Z 
2025-08-26T20:25:42.8864188Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8864737Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8864839Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8865185Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8865290Z     x = block(x)
2025-08-26T20:25:42.8865562Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:25:42.8865682Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:25:42.8865958Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 130, in forward
2025-08-26T20:25:42.8866046Z     x = new_gelu(x)
2025-08-26T20:25:42.8866387Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 26, in new_gelu
2025-08-26T20:25:42.8866472Z     0.5
2025-08-26T20:25:42.8866477Z 
2025-08-26T20:25:42.8866652Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8867187Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8867287Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8867568Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8867654Z     x = block(x)
2025-08-26T20:25:42.8867935Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:25:42.8868038Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:25:42.8868310Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 131, in forward
2025-08-26T20:25:42.8868420Z     x = self.c_proj(x)
2025-08-26T20:25:42.8868425Z 
2025-08-26T20:25:42.8868589Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8869139Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8869241Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8869525Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8869610Z     x = block(x)
2025-08-26T20:25:42.8869882Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:25:42.8869999Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:25:42.8870266Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 83, in forward
2025-08-26T20:25:42.8870415Z     q, k, v = self.c_attn(x).split(self.n_embd, dim=2)
2025-08-26T20:25:42.8870470Z 
2025-08-26T20:25:42.8870590Z cudagraph partition due to non gpu ops
2025-08-26T20:25:42.8870751Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8871303Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8871407Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8871692Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8871778Z     x = block(x)
2025-08-26T20:25:42.8872050Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:25:42.8872165Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:25:42.8872431Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 97, in forward
2025-08-26T20:25:42.8872609Z     y = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:25:42.8872614Z 
2025-08-26T20:25:42.8872777Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8873317Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8873437Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8873711Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8873808Z     x = block(x)
2025-08-26T20:25:42.8874077Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:25:42.8874183Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:25:42.8874467Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 117, in forward
2025-08-26T20:25:42.8874584Z     y = self.resid_dropout(self.c_proj(y))
2025-08-26T20:25:42.8874589Z 
2025-08-26T20:25:42.8874764Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8875297Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8875412Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8875683Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8875845Z     x = block(x)
2025-08-26T20:25:42.8876130Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:25:42.8876232Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:25:42.8876511Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 129, in forward
2025-08-26T20:25:42.8876598Z     x = self.c_fc(x)
2025-08-26T20:25:42.8876603Z 
2025-08-26T20:25:42.8876764Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8877311Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8877413Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8877693Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8877783Z     x = block(x)
2025-08-26T20:25:42.8878053Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:25:42.8878173Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:25:42.8878442Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 130, in forward
2025-08-26T20:25:42.8878542Z     x = new_gelu(x)
2025-08-26T20:25:42.8878815Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 26, in new_gelu
2025-08-26T20:25:42.8878897Z     0.5
2025-08-26T20:25:42.8878902Z 
2025-08-26T20:25:42.8879078Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8879613Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8879730Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8880004Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8880090Z     x = block(x)
2025-08-26T20:25:42.8880420Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:25:42.8880529Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:25:42.8880814Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 131, in forward
2025-08-26T20:25:42.8880905Z     x = self.c_proj(x)
2025-08-26T20:25:42.8880910Z 
2025-08-26T20:25:42.8881082Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8881616Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8881718Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8882005Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 239, in forward
2025-08-26T20:25:42.8882102Z     logits = self.lm_head(
2025-08-26T20:25:42.8882106Z 
2025-08-26T20:25:42.8882278Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8882809Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8882916Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8883206Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8883292Z     x = block(x)
2025-08-26T20:25:42.8883575Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:25:42.8883680Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:25:42.8883949Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 97, in forward
2025-08-26T20:25:42.8884125Z     y = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:25:42.8884129Z 
2025-08-26T20:25:42.8884289Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8884834Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8884936Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8885223Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8885309Z     x = block(x)
2025-08-26T20:25:42.8885629Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:25:42.8885748Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:25:42.8886014Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 97, in forward
2025-08-26T20:25:42.8886190Z     y = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:25:42.8886195Z 
2025-08-26T20:25:42.8886354Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8886886Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8887001Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8887275Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8887373Z     x = block(x)
2025-08-26T20:25:42.8887647Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:25:42.8887752Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:25:42.8888037Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 97, in forward
2025-08-26T20:25:42.8888199Z     y = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:25:42.8888204Z 
2025-08-26T20:25:42.8888379Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8888917Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8889018Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8889305Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8889390Z     x = block(x)
2025-08-26T20:25:42.8889671Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:25:42.8889773Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:25:42.8890096Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 97, in forward
2025-08-26T20:25:42.8890271Z     y = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:25:42.8890276Z 
2025-08-26T20:25:42.8890434Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8890980Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8891080Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8891362Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8891448Z     x = block(x)
2025-08-26T20:25:42.8891716Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:25:42.8891831Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:25:42.8892100Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 97, in forward
2025-08-26T20:25:42.8892277Z     y = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:25:42.8892281Z 
2025-08-26T20:25:42.8892444Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8892982Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8893095Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8893365Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8893466Z     x = block(x)
2025-08-26T20:25:42.8893735Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:25:42.8893838Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:25:42.8894116Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 97, in forward
2025-08-26T20:25:42.8894275Z     y = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:25:42.8894280Z 
2025-08-26T20:25:42.8894450Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8894987Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8895150Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8895422Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8895505Z     x = block(x)
2025-08-26T20:25:42.8895785Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:25:42.8895893Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:25:42.8896171Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 97, in forward
2025-08-26T20:25:42.8896332Z     y = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:25:42.8896336Z 
2025-08-26T20:25:42.8896494Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8897040Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8897147Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8897434Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8897519Z     x = block(x)
2025-08-26T20:25:42.8897790Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:25:42.8897904Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:25:42.8898170Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 97, in forward
2025-08-26T20:25:42.8898342Z     y = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:25:42.8898347Z 
2025-08-26T20:25:42.8898507Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8899043Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8899158Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8899432Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8899584Z     x = block(x)
2025-08-26T20:25:42.8899860Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:25:42.8899965Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:25:42.8900248Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 97, in forward
2025-08-26T20:25:42.8900411Z     y = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:25:42.8900415Z 
2025-08-26T20:25:42.8900591Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8901129Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8901245Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8901516Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8901600Z     x = block(x)
2025-08-26T20:25:42.8901881Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:25:42.8901989Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:25:42.8902275Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 97, in forward
2025-08-26T20:25:42.8902435Z     y = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:25:42.8902439Z 
2025-08-26T20:25:42.8902598Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8903142Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8903243Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8903525Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8903610Z     x = block(x)
2025-08-26T20:25:42.8903880Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:25:42.8903993Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:25:42.8904265Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 97, in forward
2025-08-26T20:25:42.8904440Z     y = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:25:42.8904494Z 
2025-08-26T20:25:42.8904658Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8905319Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8905424Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8905700Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:25:42.8905816Z     x = block(x)
2025-08-26T20:25:42.8906091Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:25:42.8906211Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:25:42.8906478Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 97, in forward
2025-08-26T20:25:42.8906639Z     y = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:25:42.8906647Z 
2025-08-26T20:25:42.8906822Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:25:42.8907363Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:25:42.8907482Z     pred = mod(*cloned_inputs)
2025-08-26T20:25:42.8907755Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 239, in forward
2025-08-26T20:25:42.8907854Z     logits = self.lm_head(
2025-08-26T20:25:42.8907858Z 
2025-08-26T20:26:02.7482916Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.7484359Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.7485652Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.7486493Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 239, in forward
2025-08-26T20:26:02.7487373Z     logits = self.lm_head(
2025-08-26T20:26:02.7488033Z 
2025-08-26T20:26:02.7488326Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.7489743Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.7491105Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.7491829Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 239, in forward
2025-08-26T20:26:02.7492606Z     logits = self.lm_head(
2025-08-26T20:26:02.7492869Z 
2025-08-26T20:26:02.7493124Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.7494295Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.7495425Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.7496149Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 240, in forward
2025-08-26T20:26:02.7496855Z     x[:, [-1], :]
2025-08-26T20:26:02.7497062Z 
2025-08-26T20:26:02.7497339Z cudagraph partition due to non gpu ops
2025-08-26T20:26:02.7497830Z cudagraph partition due to non gpu ops
2025-08-26T20:26:02.7498309Z cudagraph partition due to non gpu ops
2025-08-26T20:26:02.7498807Z cudagraph partition due to non gpu ops
2025-08-26T20:26:02.7499313Z cudagraph partition due to non gpu ops
2025-08-26T20:26:02.7499860Z cudagraph partition due to non gpu ops
2025-08-26T20:26:02.7500406Z cudagraph partition due to non gpu ops
2025-08-26T20:26:02.7500946Z cudagraph partition due to non gpu ops
2025-08-26T20:26:02.7501491Z cudagraph partition due to non gpu ops
2025-08-26T20:26:02.7502001Z cudagraph partition due to non gpu ops
2025-08-26T20:26:02.7502516Z cudagraph partition due to non gpu ops
2025-08-26T20:26:02.7503048Z cudagraph partition due to non gpu ops
2025-08-26T20:26:02.7503681Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.7504968Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.7506260Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.7507867Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 230, in forward
2025-08-26T20:26:02.7508757Z     pos_emb = self.transformer.wpe(
2025-08-26T20:26:02.7509069Z 
2025-08-26T20:26:02.7509237Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.7510437Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.7511895Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.7512677Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 229, in forward
2025-08-26T20:26:02.7513915Z     tok_emb = self.transformer.wte(idx)  # token embeddings of shape (b, t, n_embd)
2025-08-26T20:26:02.7514639Z 
2025-08-26T20:26:02.7514867Z cudagraph partition due to non gpu ops
2025-08-26T20:26:02.7515539Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.7517094Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.7518529Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.7519410Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.7520255Z     x = block(x)
2025-08-26T20:26:02.7521034Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:26:02.7521939Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:26:02.7522792Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 131, in forward
2025-08-26T20:26:02.7523661Z     x = self.c_proj(x)
2025-08-26T20:26:02.7523924Z 
2025-08-26T20:26:02.7524230Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.7525688Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.7527221Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.7528046Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.7528921Z     x = block(x)
2025-08-26T20:26:02.7529671Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:26:02.7530578Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:26:02.7531396Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 131, in forward
2025-08-26T20:26:02.7532297Z     x = self.c_proj(x)
2025-08-26T20:26:02.7532561Z 
2025-08-26T20:26:02.7532868Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.7534320Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.7535683Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.7536503Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.7537387Z     x = block(x)
2025-08-26T20:26:02.7538137Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:26:02.7539049Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:26:02.7539932Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 131, in forward
2025-08-26T20:26:02.7540972Z     x = self.c_proj(x)
2025-08-26T20:26:02.7541234Z 
2025-08-26T20:26:02.7541526Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.7542997Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.7544387Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.7545326Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.7546207Z     x = block(x)
2025-08-26T20:26:02.7547017Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:26:02.7547925Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:26:02.7548811Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 130, in forward
2025-08-26T20:26:02.7549713Z     x = new_gelu(x)
2025-08-26T20:26:02.7550658Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 26, in new_gelu
2025-08-26T20:26:02.7551525Z     0.5
2025-08-26T20:26:02.7552063Z Gradient addition node due to multiple use of tensor around:
2025-08-26T20:26:02.7552896Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.7554390Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.7555760Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.7556597Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.7557473Z     x = block(x)
2025-08-26T20:26:02.7558208Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:26:02.7559140Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:26:02.7559980Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 129, in forward
2025-08-26T20:26:02.7560865Z     x = self.c_fc(x)
2025-08-26T20:26:02.7561130Z 
2025-08-26T20:26:02.7561425Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.7562920Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.7564286Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.7565126Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.7565996Z     x = block(x)
2025-08-26T20:26:02.7566728Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:26:02.7567638Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:26:02.7568453Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 129, in forward
2025-08-26T20:26:02.7569302Z     x = self.c_fc(x)
2025-08-26T20:26:02.7569727Z 
2025-08-26T20:26:02.7570023Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.7571500Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.7572848Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.7573683Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.7574539Z     x = block(x)
2025-08-26T20:26:02.7575288Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.7576182Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.7577039Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 117, in forward
2025-08-26T20:26:02.7577975Z     y = self.resid_dropout(self.c_proj(y))
2025-08-26T20:26:02.7578377Z 
2025-08-26T20:26:02.7578690Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.7580160Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.7581523Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.7582345Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.7583213Z     x = block(x)
2025-08-26T20:26:02.7583960Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.7584856Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.7585789Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 117, in forward
2025-08-26T20:26:02.7586715Z     y = self.resid_dropout(self.c_proj(y))
2025-08-26T20:26:02.7587118Z 
2025-08-26T20:26:02.7587346Z cudagraph partition due to non gpu ops
2025-08-26T20:26:02.7588022Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.7589477Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.7590848Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.7591660Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.7592652Z     x = block(x)
2025-08-26T20:26:02.7593376Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.7594272Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.7595135Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 117, in forward
2025-08-26T20:26:02.7596063Z     y = self.resid_dropout(self.c_proj(y))
2025-08-26T20:26:02.7596462Z 
2025-08-26T20:26:02.7596769Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.7598199Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.7599576Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.7600385Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.7601291Z     x = block(x)
2025-08-26T20:26:02.7602014Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.7602911Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.7603777Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 97, in forward
2025-08-26T20:26:02.7604779Z     y = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:26:02.7605270Z 
2025-08-26T20:26:02.7605559Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.7607012Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.7608379Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.7609201Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.7610067Z     x = block(x)
2025-08-26T20:26:02.7610792Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.7611786Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.7612645Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 97, in forward
2025-08-26T20:26:02.7613635Z     y = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:26:02.7614124Z 
2025-08-26T20:26:02.7614422Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.7615876Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.7617258Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.7618111Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.7618978Z     x = block(x)
2025-08-26T20:26:02.7619704Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.7620635Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.7621534Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 97, in forward
2025-08-26T20:26:02.7622399Z     y = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:26:02.7622672Z 
2025-08-26T20:26:02.7622809Z cudagraph partition due to non gpu ops
2025-08-26T20:26:02.7623142Z cudagraph partition due to non gpu ops
2025-08-26T20:26:02.7623483Z cudagraph partition due to non gpu ops
2025-08-26T20:26:02.7623870Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.7624682Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.7625498Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.7625968Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.7626452Z     x = block(x)
2025-08-26T20:26:02.7626870Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.7627378Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.7627852Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 83, in forward
2025-08-26T20:26:02.7628383Z     q, k, v = self.c_attn(x).split(self.n_embd, dim=2)
2025-08-26T20:26:02.7628746Z 
2025-08-26T20:26:02.7628921Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.7629736Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.7630484Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.7630957Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.7631445Z     x = block(x)
2025-08-26T20:26:02.7631865Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.7632372Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.7632838Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 83, in forward
2025-08-26T20:26:02.7633369Z     q, k, v = self.c_attn(x).split(self.n_embd, dim=2)
2025-08-26T20:26:02.7633617Z 
2025-08-26T20:26:02.7633790Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.7634601Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.7635352Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.7635817Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.7636321Z     x = block(x)
2025-08-26T20:26:02.7636740Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.7637248Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.7637717Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 83, in forward
2025-08-26T20:26:02.7638254Z     q, k, v = self.c_attn(x).split(self.n_embd, dim=2)
2025-08-26T20:26:02.7638498Z 
2025-08-26T20:26:02.7638676Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.7639551Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.7640512Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.7640991Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.7641483Z     x = block(x)
2025-08-26T20:26:02.7641902Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:26:02.7642399Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:26:02.7642883Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 131, in forward
2025-08-26T20:26:02.7643381Z     x = self.c_proj(x)
2025-08-26T20:26:02.7643538Z 
2025-08-26T20:26:02.7643716Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.7644529Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.7645290Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.7645757Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.7646248Z     x = block(x)
2025-08-26T20:26:02.7646668Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:26:02.7647161Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:26:02.7647638Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 131, in forward
2025-08-26T20:26:02.7648127Z     x = self.c_proj(x)
2025-08-26T20:26:02.7648279Z 
2025-08-26T20:26:02.7648909Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.7649724Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.7650473Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.7650941Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.7651436Z     x = block(x)
2025-08-26T20:26:02.7651858Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:26:02.7652354Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:26:02.7652957Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 131, in forward
2025-08-26T20:26:02.7653456Z     x = self.c_proj(x)
2025-08-26T20:26:02.7653610Z 
2025-08-26T20:26:02.7653782Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.7654614Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.7655375Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.7655844Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.7656341Z     x = block(x)
2025-08-26T20:26:02.7656759Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:26:02.7657255Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:26:02.7657739Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 130, in forward
2025-08-26T20:26:02.7658233Z     x = new_gelu(x)
2025-08-26T20:26:02.7658659Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 26, in new_gelu
2025-08-26T20:26:02.7659145Z     0.5
2025-08-26T20:26:02.7659440Z Gradient addition node due to multiple use of tensor around:
2025-08-26T20:26:02.7659915Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.7660737Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.7661506Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.7661961Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.7662455Z     x = block(x)
2025-08-26T20:26:02.7662871Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:26:02.7663382Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:26:02.7663937Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 129, in forward
2025-08-26T20:26:02.7664435Z     x = self.c_fc(x)
2025-08-26T20:26:02.7664599Z 
2025-08-26T20:26:02.7664765Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.7665667Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.7666432Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.7666887Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.7667374Z     x = block(x)
2025-08-26T20:26:02.7667791Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:26:02.7668296Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:26:02.7668761Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 129, in forward
2025-08-26T20:26:02.7669247Z     x = self.c_fc(x)
2025-08-26T20:26:02.7669416Z 
2025-08-26T20:26:02.7669577Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.7670391Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.7671154Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.7671608Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.7672103Z     x = block(x)
2025-08-26T20:26:02.7672523Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.7673031Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.7673500Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 117, in forward
2025-08-26T20:26:02.7674023Z     y = self.resid_dropout(self.c_proj(y))
2025-08-26T20:26:02.7674264Z 
2025-08-26T20:26:02.7674422Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.7675243Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.7676019Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.7676543Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.7677040Z     x = block(x)
2025-08-26T20:26:02.7677457Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.7677974Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.7678448Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 117, in forward
2025-08-26T20:26:02.7678979Z     y = self.resid_dropout(self.c_proj(y))
2025-08-26T20:26:02.7679221Z 
2025-08-26T20:26:02.7679341Z cudagraph partition due to non gpu ops
2025-08-26T20:26:02.7679735Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.7680549Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.7681325Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.7681798Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.7682292Z     x = block(x)
2025-08-26T20:26:02.7682711Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.7683209Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.7683695Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 117, in forward
2025-08-26T20:26:02.7684220Z     y = self.resid_dropout(self.c_proj(y))
2025-08-26T20:26:02.7684449Z 
2025-08-26T20:26:02.7684623Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.7685432Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.7686206Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.7686675Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.7687239Z     x = block(x)
2025-08-26T20:26:02.7687657Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.7688159Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.7688646Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 97, in forward
2025-08-26T20:26:02.7689223Z     y = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:26:02.7689505Z 
2025-08-26T20:26:02.7689679Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.7690489Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.7691260Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.7691735Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.7692237Z     x = block(x)
2025-08-26T20:26:02.7692657Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.7693162Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.7693644Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 97, in forward
2025-08-26T20:26:02.7694216Z     y = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:26:02.7694494Z 
2025-08-26T20:26:02.7694669Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.7695478Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.7696245Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.7696718Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.7697217Z     x = block(x)
2025-08-26T20:26:02.7697638Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.7698135Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.7698616Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 97, in forward
2025-08-26T20:26:02.7699182Z     y = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:26:02.7699460Z 
2025-08-26T20:26:02.7699656Z cudagraph partition due to non gpu ops
2025-08-26T20:26:02.7699993Z cudagraph partition due to non gpu ops
2025-08-26T20:26:02.7700334Z cudagraph partition due to non gpu ops
2025-08-26T20:26:02.7700723Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.7701548Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.7702306Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.7702776Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.7703272Z     x = block(x)
2025-08-26T20:26:02.7703691Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.7704205Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.7704673Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 83, in forward
2025-08-26T20:26:02.7705305Z     q, k, v = self.c_attn(x).split(self.n_embd, dim=2)
2025-08-26T20:26:02.7705553Z 
2025-08-26T20:26:02.7705735Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.7706543Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.7707289Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.7707759Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.7708256Z     x = block(x)
2025-08-26T20:26:02.7708673Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.7709180Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.7709646Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 83, in forward
2025-08-26T20:26:02.7710188Z     q, k, v = self.c_attn(x).split(self.n_embd, dim=2)
2025-08-26T20:26:02.7710526Z 
2025-08-26T20:26:02.7710699Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.7711527Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.7712287Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.7712762Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.7713261Z     x = block(x)
2025-08-26T20:26:02.7713680Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.7714191Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.7714659Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 83, in forward
2025-08-26T20:26:02.7715195Z     q, k, v = self.c_attn(x).split(self.n_embd, dim=2)
2025-08-26T20:26:02.7715441Z 
2025-08-26T20:26:02.7715613Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.7716434Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.7717197Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.7717671Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.7718164Z     x = block(x)
2025-08-26T20:26:02.7718579Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:26:02.7719088Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:26:02.7719557Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 131, in forward
2025-08-26T20:26:02.7720055Z     x = self.c_proj(x)
2025-08-26T20:26:02.7720208Z 
2025-08-26T20:26:02.7720382Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.7721203Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.7721957Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.7722429Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.7722919Z     x = block(x)
2025-08-26T20:26:02.7723403Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:26:02.7723904Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:26:02.7724384Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 131, in forward
2025-08-26T20:26:02.7724880Z     x = self.c_proj(x)
2025-08-26T20:26:02.7725033Z 
2025-08-26T20:26:02.7725205Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.7726030Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.7726788Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.7727258Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.7727752Z     x = block(x)
2025-08-26T20:26:02.7728177Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:26:02.7728684Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:26:02.7729172Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 131, in forward
2025-08-26T20:26:02.7729674Z     x = self.c_proj(x)
2025-08-26T20:26:02.7729831Z 
2025-08-26T20:26:02.7730005Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.7730824Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.7731578Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.7732042Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.7732533Z     x = block(x)
2025-08-26T20:26:02.7732947Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:26:02.7733442Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:26:02.7733933Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 130, in forward
2025-08-26T20:26:02.7734492Z     x = new_gelu(x)
2025-08-26T20:26:02.7734923Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 26, in new_gelu
2025-08-26T20:26:02.7735403Z     0.5
2025-08-26T20:26:02.7735719Z Gradient addition node due to multiple use of tensor around:
2025-08-26T20:26:02.7736194Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.7737020Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.7737794Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.7738248Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.7738743Z     x = block(x)
2025-08-26T20:26:02.7739162Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:26:02.7739678Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:26:02.7740147Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 129, in forward
2025-08-26T20:26:02.7740812Z     x = self.c_fc(x)
2025-08-26T20:26:02.7740977Z 
2025-08-26T20:26:02.7741143Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.7741969Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.7742748Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.7743207Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.7743703Z     x = block(x)
2025-08-26T20:26:02.7744130Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:26:02.7744643Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:26:02.7745111Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 129, in forward
2025-08-26T20:26:02.7745707Z     x = self.c_fc(x)
2025-08-26T20:26:02.7745870Z 
2025-08-26T20:26:02.7746035Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.7746985Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.7747745Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.7748216Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.7748711Z     x = block(x)
2025-08-26T20:26:02.7749129Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.7749638Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.7750114Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 117, in forward
2025-08-26T20:26:02.7750635Z     y = self.resid_dropout(self.c_proj(y))
2025-08-26T20:26:02.7750876Z 
2025-08-26T20:26:02.7751041Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.7751863Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.7752627Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.7753103Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.7753603Z     x = block(x)
2025-08-26T20:26:02.7754020Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.7754532Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.7755009Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 117, in forward
2025-08-26T20:26:02.7755532Z     y = self.resid_dropout(self.c_proj(y))
2025-08-26T20:26:02.7755759Z 
2025-08-26T20:26:02.7755888Z cudagraph partition due to non gpu ops
2025-08-26T20:26:02.7756276Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.7757083Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.7757855Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.7758402Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.7758895Z     x = block(x)
2025-08-26T20:26:02.7759304Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.7759817Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.7760305Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 117, in forward
2025-08-26T20:26:02.7760835Z     y = self.resid_dropout(self.c_proj(y))
2025-08-26T20:26:02.7761065Z 
2025-08-26T20:26:02.7761246Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.7762057Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.7762825Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.7763292Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.7763782Z     x = block(x)
2025-08-26T20:26:02.7764189Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.7764695Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.7765184Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 97, in forward
2025-08-26T20:26:02.7765754Z     y = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:26:02.7766033Z 
2025-08-26T20:26:02.7766206Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.7767013Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.7767778Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.7768246Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.7768740Z     x = block(x)
2025-08-26T20:26:02.7769144Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.7769656Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.7770142Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 97, in forward
2025-08-26T20:26:02.7770761Z     y = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:26:02.7771039Z 
2025-08-26T20:26:02.7771212Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.7772129Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.7773365Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.7773913Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.7774410Z     x = block(x)
2025-08-26T20:26:02.7774817Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.7775326Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.7775810Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 97, in forward
2025-08-26T20:26:02.7776383Z     y = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:26:02.7776661Z 
2025-08-26T20:26:02.7776795Z cudagraph partition due to non gpu ops
2025-08-26T20:26:02.7777137Z cudagraph partition due to non gpu ops
2025-08-26T20:26:02.7777487Z cudagraph partition due to non gpu ops
2025-08-26T20:26:02.7777881Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.7778707Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.7779468Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.7779941Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.7780438Z     x = block(x)
2025-08-26T20:26:02.7792372Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.7793068Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.7793572Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 83, in forward
2025-08-26T20:26:02.7794248Z     q, k, v = self.c_attn(x).split(self.n_embd, dim=2)
2025-08-26T20:26:02.7794504Z 
2025-08-26T20:26:02.7794694Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.7795523Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.7796297Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.7796775Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.7797273Z     x = block(x)
2025-08-26T20:26:02.7797695Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.7798193Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.7798676Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 83, in forward
2025-08-26T20:26:02.7799218Z     q, k, v = self.c_attn(x).split(self.n_embd, dim=2)
2025-08-26T20:26:02.7799474Z 
2025-08-26T20:26:02.7799656Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.7800467Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.7801241Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.7801713Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.7802209Z     x = block(x)
2025-08-26T20:26:02.7802627Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.7803125Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.7803608Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 83, in forward
2025-08-26T20:26:02.7804146Z     q, k, v = self.c_attn(x).split(self.n_embd, dim=2)
2025-08-26T20:26:02.7804394Z 
2025-08-26T20:26:02.7804570Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.7805374Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.7806138Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.7806668Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.7807162Z     x = block(x)
2025-08-26T20:26:02.7807578Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:26:02.7808074Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:26:02.7808552Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 131, in forward
2025-08-26T20:26:02.7809049Z     x = self.c_proj(x)
2025-08-26T20:26:02.7809203Z 
2025-08-26T20:26:02.7809378Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.7810182Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.7810956Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.7811425Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.7811922Z     x = block(x)
2025-08-26T20:26:02.7812333Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:26:02.7812843Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:26:02.7813322Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 131, in forward
2025-08-26T20:26:02.7813819Z     x = self.c_proj(x)
2025-08-26T20:26:02.7813973Z 
2025-08-26T20:26:02.7814149Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.7814953Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.7815721Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.7816191Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.7816684Z     x = block(x)
2025-08-26T20:26:02.7817090Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:26:02.7817656Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:26:02.7818140Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 131, in forward
2025-08-26T20:26:02.7818633Z     x = self.c_proj(x)
2025-08-26T20:26:02.7818788Z 
2025-08-26T20:26:02.7818963Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.7819773Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.7820539Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.7821008Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.7821500Z     x = block(x)
2025-08-26T20:26:02.7821907Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:26:02.7822414Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:26:02.7822891Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 130, in forward
2025-08-26T20:26:02.7823389Z     x = new_gelu(x)
2025-08-26T20:26:02.7823802Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 26, in new_gelu
2025-08-26T20:26:02.7824296Z     0.5
2025-08-26T20:26:02.7824609Z Gradient addition node due to multiple use of tensor around:
2025-08-26T20:26:02.7825084Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.7826025Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.7826791Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.7827265Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.7827762Z     x = block(x)
2025-08-26T20:26:02.7828184Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:26:02.7828687Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:26:02.7829170Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 129, in forward
2025-08-26T20:26:02.7829672Z     x = self.c_fc(x)
2025-08-26T20:26:02.7829821Z 
2025-08-26T20:26:02.7830063Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.7830875Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.7831651Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.7832122Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.7832616Z     x = block(x)
2025-08-26T20:26:02.7833038Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:26:02.7833551Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:26:02.7834033Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 129, in forward
2025-08-26T20:26:02.7834531Z     x = self.c_fc(x)
2025-08-26T20:26:02.7834682Z 
2025-08-26T20:26:02.7834863Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.7835679Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.7836458Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.7836930Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.7837428Z     x = block(x)
2025-08-26T20:26:02.7837848Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.7838351Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.7838839Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 117, in forward
2025-08-26T20:26:02.7839364Z     y = self.resid_dropout(self.c_proj(y))
2025-08-26T20:26:02.7839595Z 
2025-08-26T20:26:02.7839772Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.7840805Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.7841693Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.7842165Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.7842664Z     x = block(x)
2025-08-26T20:26:02.7843089Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.7843588Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.7844077Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 117, in forward
2025-08-26T20:26:02.7844605Z     y = self.resid_dropout(self.c_proj(y))
2025-08-26T20:26:02.7844835Z 
2025-08-26T20:26:02.7844970Z cudagraph partition due to non gpu ops
2025-08-26T20:26:02.7845351Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.7846175Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.7846951Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.7847424Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.7847921Z     x = block(x)
2025-08-26T20:26:02.7848329Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.7848840Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.7849326Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 117, in forward
2025-08-26T20:26:02.7849851Z     y = self.resid_dropout(self.c_proj(y))
2025-08-26T20:26:02.7850080Z 
2025-08-26T20:26:02.7850240Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.7851067Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.7851841Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.7852311Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.7852795Z     x = block(x)
2025-08-26T20:26:02.7853219Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.7853735Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.7854369Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 97, in forward
2025-08-26T20:26:02.7854940Z     y = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:26:02.7855219Z 
2025-08-26T20:26:02.7855380Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.7856203Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.7856972Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.7857447Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.7857926Z     x = block(x)
2025-08-26T20:26:02.7858346Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.7858860Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.7859345Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 97, in forward
2025-08-26T20:26:02.7859911Z     y = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:26:02.7860193Z 
2025-08-26T20:26:02.7860354Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.7861179Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.7861978Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.7862451Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.7862934Z     x = block(x)
2025-08-26T20:26:02.7863356Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.7863871Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.7864352Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 97, in forward
2025-08-26T20:26:02.7864920Z     y = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:26:02.7865334Z 
2025-08-26T20:26:02.7865457Z cudagraph partition due to non gpu ops
2025-08-26T20:26:02.7865815Z cudagraph partition due to non gpu ops
2025-08-26T20:26:02.7866162Z cudagraph partition due to non gpu ops
2025-08-26T20:26:02.7866550Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.7867348Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.7868115Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.7868579Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.7869062Z     x = block(x)
2025-08-26T20:26:02.7869478Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.7869970Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.7870445Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 83, in forward
2025-08-26T20:26:02.7870983Z     q, k, v = self.c_attn(x).split(self.n_embd, dim=2)
2025-08-26T20:26:02.7871228Z 
2025-08-26T20:26:02.7871401Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.7872210Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.7872979Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.7873442Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.7873930Z     x = block(x)
2025-08-26T20:26:02.7874346Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.7874839Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.7875314Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 83, in forward
2025-08-26T20:26:02.7875846Z     q, k, v = self.c_attn(x).split(self.n_embd, dim=2)
2025-08-26T20:26:02.7876088Z 
2025-08-26T20:26:02.7876265Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.7877158Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.7877926Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.7878394Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.7878889Z     x = block(x)
2025-08-26T20:26:02.7879314Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.7879809Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.7880293Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 83, in forward
2025-08-26T20:26:02.7880829Z     q, k, v = self.c_attn(x).split(self.n_embd, dim=2)
2025-08-26T20:26:02.7881074Z 
2025-08-26T20:26:02.7881248Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.7882050Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.7882811Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.7883282Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.7883771Z     x = block(x)
2025-08-26T20:26:02.7884186Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:26:02.7884675Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:26:02.7885157Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 131, in forward
2025-08-26T20:26:02.7885645Z     x = self.c_proj(x)
2025-08-26T20:26:02.7885798Z 
2025-08-26T20:26:02.7885971Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.7886767Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.7887526Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.7887991Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.7888538Z     x = block(x)
2025-08-26T20:26:02.7888941Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:26:02.7889454Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:26:02.7889933Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 131, in forward
2025-08-26T20:26:02.7890424Z     x = self.c_proj(x)
2025-08-26T20:26:02.7890580Z 
2025-08-26T20:26:02.7890754Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.7891551Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.7892311Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.7892776Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.7893264Z     x = block(x)
2025-08-26T20:26:02.7893664Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:26:02.7894168Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:26:02.7894641Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 131, in forward
2025-08-26T20:26:02.7895136Z     x = self.c_proj(x)
2025-08-26T20:26:02.7895291Z 
2025-08-26T20:26:02.7895462Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.7896259Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.7897015Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.7897484Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.7897974Z     x = block(x)
2025-08-26T20:26:02.7898385Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:26:02.7898888Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:26:02.7899362Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 130, in forward
2025-08-26T20:26:02.7899855Z     x = new_gelu(x)
2025-08-26T20:26:02.7900260Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 26, in new_gelu
2025-08-26T20:26:02.7900743Z     0.5
2025-08-26T20:26:02.7901116Z Gradient addition node due to multiple use of tensor around:
2025-08-26T20:26:02.7901586Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.7902395Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.7903151Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.7903626Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.7904122Z     x = block(x)
2025-08-26T20:26:02.7904546Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:26:02.7905039Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:26:02.7905615Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 129, in forward
2025-08-26T20:26:02.7906115Z     x = self.c_fc(x)
2025-08-26T20:26:02.7906266Z 
2025-08-26T20:26:02.7906443Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.7907265Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.7908017Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.7908481Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.7908969Z     x = block(x)
2025-08-26T20:26:02.7909385Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:26:02.7909876Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:26:02.7910361Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 129, in forward
2025-08-26T20:26:02.7910878Z     x = self.c_fc(x)
2025-08-26T20:26:02.7911091Z 
2025-08-26T20:26:02.7911304Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.7912288Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.7913065Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.7913537Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.7914038Z     x = block(x)
2025-08-26T20:26:02.7914459Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.7914956Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.7915442Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 117, in forward
2025-08-26T20:26:02.7915968Z     y = self.resid_dropout(self.c_proj(y))
2025-08-26T20:26:02.7916195Z 
2025-08-26T20:26:02.7916366Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.7917173Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.7917940Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.7918404Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.7918896Z     x = block(x)
2025-08-26T20:26:02.7919314Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.7919812Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.7920297Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 117, in forward
2025-08-26T20:26:02.7920820Z     y = self.resid_dropout(self.c_proj(y))
2025-08-26T20:26:02.7921049Z 
2025-08-26T20:26:02.7921182Z cudagraph partition due to non gpu ops
2025-08-26T20:26:02.7921559Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.7922383Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.7923154Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.7923623Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.7924120Z     x = block(x)
2025-08-26T20:26:02.7924594Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.7925106Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.7925588Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 117, in forward
2025-08-26T20:26:02.7926111Z     y = self.resid_dropout(self.c_proj(y))
2025-08-26T20:26:02.7926338Z 
2025-08-26T20:26:02.7926498Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.7927323Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.7928098Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.7928570Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.7929065Z     x = block(x)
2025-08-26T20:26:02.7929469Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.7929986Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.7930471Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 97, in forward
2025-08-26T20:26:02.7931043Z     y = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:26:02.7931323Z 
2025-08-26T20:26:02.7931482Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.7932302Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.7933073Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.7933540Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.7934020Z     x = block(x)
2025-08-26T20:26:02.7934437Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.7934943Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.7935423Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 97, in forward
2025-08-26T20:26:02.7936054Z     y = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:26:02.7936330Z 
2025-08-26T20:26:02.7936493Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.7937309Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.7938083Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.7938552Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.7939034Z     x = block(x)
2025-08-26T20:26:02.7939451Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.7939963Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.7940630Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 97, in forward
2025-08-26T20:26:02.7941196Z     y = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:26:02.7941477Z 
2025-08-26T20:26:02.7941594Z cudagraph partition due to non gpu ops
2025-08-26T20:26:02.7941947Z cudagraph partition due to non gpu ops
2025-08-26T20:26:02.7942292Z cudagraph partition due to non gpu ops
2025-08-26T20:26:02.7942679Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.7943487Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.7944255Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.7944725Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.7945296Z     x = block(x)
2025-08-26T20:26:02.7945704Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.7946218Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.7946704Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 83, in forward
2025-08-26T20:26:02.7947249Z     q, k, v = self.c_attn(x).split(self.n_embd, dim=2)
2025-08-26T20:26:02.7947504Z 
2025-08-26T20:26:02.7947680Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.7948628Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.7949404Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.7949874Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.7950364Z     x = block(x)
2025-08-26T20:26:02.7950771Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.7951283Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.7951761Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 83, in forward
2025-08-26T20:26:02.7952298Z     q, k, v = self.c_attn(x).split(self.n_embd, dim=2)
2025-08-26T20:26:02.7952549Z 
2025-08-26T20:26:02.7952720Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.7953535Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.7954308Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.7954779Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.7955273Z     x = block(x)
2025-08-26T20:26:02.7955677Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.7956189Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.7956669Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 83, in forward
2025-08-26T20:26:02.7957207Z     q, k, v = self.c_attn(x).split(self.n_embd, dim=2)
2025-08-26T20:26:02.7957457Z 
2025-08-26T20:26:02.7957631Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.7958442Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.7959323Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.7959797Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.7960301Z     x = block(x)
2025-08-26T20:26:02.7960722Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:26:02.7961222Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:26:02.7961709Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 131, in forward
2025-08-26T20:26:02.7962206Z     x = self.c_proj(x)
2025-08-26T20:26:02.7962361Z 
2025-08-26T20:26:02.7962533Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.7963341Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.7964112Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.7964579Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.7965076Z     x = block(x)
2025-08-26T20:26:02.7965494Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:26:02.7965994Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:26:02.7966473Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 131, in forward
2025-08-26T20:26:02.7966971Z     x = self.c_proj(x)
2025-08-26T20:26:02.7967125Z 
2025-08-26T20:26:02.7967297Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.7968103Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.7968871Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.7969338Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.7969826Z     x = block(x)
2025-08-26T20:26:02.7970227Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:26:02.7970744Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:26:02.7971223Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 131, in forward
2025-08-26T20:26:02.7971716Z     x = self.c_proj(x)
2025-08-26T20:26:02.7971933Z 
2025-08-26T20:26:02.7972104Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.7972912Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.7973684Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.7974325Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.7975209Z     x = block(x)
2025-08-26T20:26:02.7975616Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:26:02.7976126Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:26:02.7976604Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 130, in forward
2025-08-26T20:26:02.7977098Z     x = new_gelu(x)
2025-08-26T20:26:02.7977533Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 26, in new_gelu
2025-08-26T20:26:02.7978012Z     0.5
2025-08-26T20:26:02.7978327Z Gradient addition node due to multiple use of tensor around:
2025-08-26T20:26:02.7978803Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.7979623Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.7980379Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.7980845Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.7981346Z     x = block(x)
2025-08-26T20:26:02.7981764Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:26:02.7982264Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:26:02.7982747Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 129, in forward
2025-08-26T20:26:02.7983332Z     x = self.c_fc(x)
2025-08-26T20:26:02.7983482Z 
2025-08-26T20:26:02.7983657Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.7984486Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.7985325Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.7985798Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.7986296Z     x = block(x)
2025-08-26T20:26:02.7986720Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:26:02.7987221Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:26:02.7987708Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 129, in forward
2025-08-26T20:26:02.7988205Z     x = self.c_fc(x)
2025-08-26T20:26:02.7988356Z 
2025-08-26T20:26:02.7988536Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.7989350Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.7990125Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.7990604Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.7991104Z     x = block(x)
2025-08-26T20:26:02.7991524Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.7992023Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.7992508Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 117, in forward
2025-08-26T20:26:02.7993031Z     y = self.resid_dropout(self.c_proj(y))
2025-08-26T20:26:02.7993261Z 
2025-08-26T20:26:02.7993433Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.7994242Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.7995006Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.7995473Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.7995963Z     x = block(x)
2025-08-26T20:26:02.7996441Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.7996940Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.7997427Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 117, in forward
2025-08-26T20:26:02.7997948Z     y = self.resid_dropout(self.c_proj(y))
2025-08-26T20:26:02.7998172Z 
2025-08-26T20:26:02.7998306Z cudagraph partition due to non gpu ops
2025-08-26T20:26:02.7998684Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.7999507Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8000273Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8000744Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8001242Z     x = block(x)
2025-08-26T20:26:02.8001645Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.8002155Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.8002634Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 117, in forward
2025-08-26T20:26:02.8003154Z     y = self.resid_dropout(self.c_proj(y))
2025-08-26T20:26:02.8003381Z 
2025-08-26T20:26:02.8003541Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8004360Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8005131Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8005596Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8006088Z     x = block(x)
2025-08-26T20:26:02.8006497Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.8007066Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.8007545Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 97, in forward
2025-08-26T20:26:02.8008118Z     y = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:26:02.8008398Z 
2025-08-26T20:26:02.8008557Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8009383Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8010161Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8010629Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8011120Z     x = block(x)
2025-08-26T20:26:02.8011525Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.8012032Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.8012513Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 97, in forward
2025-08-26T20:26:02.8013080Z     y = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:26:02.8013356Z 
2025-08-26T20:26:02.8013520Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8014339Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8015111Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8015577Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8016069Z     x = block(x)
2025-08-26T20:26:02.8016471Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.8016978Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.8017457Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 97, in forward
2025-08-26T20:26:02.8018019Z     y = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:26:02.8018296Z 
2025-08-26T20:26:02.8018418Z cudagraph partition due to non gpu ops
2025-08-26T20:26:02.8018765Z cudagraph partition due to non gpu ops
2025-08-26T20:26:02.8019105Z cudagraph partition due to non gpu ops
2025-08-26T20:26:02.8019553Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8020363Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8021133Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8021603Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8022098Z     x = block(x)
2025-08-26T20:26:02.8022515Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.8023013Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.8023494Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 83, in forward
2025-08-26T20:26:02.8024034Z     q, k, v = self.c_attn(x).split(self.n_embd, dim=2)
2025-08-26T20:26:02.8024288Z 
2025-08-26T20:26:02.8024466Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8025352Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8026125Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8026597Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8027090Z     x = block(x)
2025-08-26T20:26:02.8027507Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.8028007Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.8028488Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 83, in forward
2025-08-26T20:26:02.8029027Z     q, k, v = self.c_attn(x).split(self.n_embd, dim=2)
2025-08-26T20:26:02.8029277Z 
2025-08-26T20:26:02.8029449Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8030321Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8031093Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8031571Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8032073Z     x = block(x)
2025-08-26T20:26:02.8032483Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.8032998Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.8033486Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 83, in forward
2025-08-26T20:26:02.8034029Z     q, k, v = self.c_attn(x).split(self.n_embd, dim=2)
2025-08-26T20:26:02.8034282Z 
2025-08-26T20:26:02.8034458Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8035270Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8036105Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8036579Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8037078Z     x = block(x)
2025-08-26T20:26:02.8037491Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:26:02.8038005Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:26:02.8038488Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 131, in forward
2025-08-26T20:26:02.8038989Z     x = self.c_proj(x)
2025-08-26T20:26:02.8039146Z 
2025-08-26T20:26:02.8039322Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8040134Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8041109Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8041577Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8042079Z     x = block(x)
2025-08-26T20:26:02.8042488Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:26:02.8043000Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:26:02.8043650Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 131, in forward
2025-08-26T20:26:02.8044150Z     x = self.c_proj(x)
2025-08-26T20:26:02.8044303Z 
2025-08-26T20:26:02.8044474Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8045282Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8046056Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8046525Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8047018Z     x = block(x)
2025-08-26T20:26:02.8047421Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:26:02.8047926Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:26:02.8048413Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 131, in forward
2025-08-26T20:26:02.8048911Z     x = self.c_proj(x)
2025-08-26T20:26:02.8049063Z 
2025-08-26T20:26:02.8049243Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8050058Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8050828Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8051296Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8051789Z     x = block(x)
2025-08-26T20:26:02.8052189Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:26:02.8052702Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:26:02.8053180Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 130, in forward
2025-08-26T20:26:02.8053670Z     x = new_gelu(x)
2025-08-26T20:26:02.8054183Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 26, in new_gelu
2025-08-26T20:26:02.8054674Z     0.5
2025-08-26T20:26:02.8054995Z Gradient addition node due to multiple use of tensor around:
2025-08-26T20:26:02.8055475Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8056302Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8057061Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8057529Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8058026Z     x = block(x)
2025-08-26T20:26:02.8058442Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:26:02.8058941Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:26:02.8059424Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 129, in forward
2025-08-26T20:26:02.8059916Z     x = self.c_fc(x)
2025-08-26T20:26:02.8060067Z 
2025-08-26T20:26:02.8060239Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8061050Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8061819Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8062289Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8062783Z     x = block(x)
2025-08-26T20:26:02.8063198Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:26:02.8063692Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:26:02.8064170Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 129, in forward
2025-08-26T20:26:02.8064665Z     x = self.c_fc(x)
2025-08-26T20:26:02.8064813Z 
2025-08-26T20:26:02.8064987Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8065869Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8066651Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8067189Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8067681Z     x = block(x)
2025-08-26T20:26:02.8068095Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.8068592Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.8069077Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 117, in forward
2025-08-26T20:26:02.8069600Z     y = self.resid_dropout(self.c_proj(y))
2025-08-26T20:26:02.8069830Z 
2025-08-26T20:26:02.8070004Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8070812Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8071577Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8072049Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8072546Z     x = block(x)
2025-08-26T20:26:02.8072965Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.8073467Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.8073949Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 117, in forward
2025-08-26T20:26:02.8074480Z     y = self.resid_dropout(self.c_proj(y))
2025-08-26T20:26:02.8074709Z 
2025-08-26T20:26:02.8074841Z cudagraph partition due to non gpu ops
2025-08-26T20:26:02.8075220Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8076044Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8076816Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8077283Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8077832Z     x = block(x)
2025-08-26T20:26:02.8078237Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.8078748Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.8079238Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 117, in forward
2025-08-26T20:26:02.8079760Z     y = self.resid_dropout(self.c_proj(y))
2025-08-26T20:26:02.8079999Z 
2025-08-26T20:26:02.8080160Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8080985Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8081759Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8082229Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8082719Z     x = block(x)
2025-08-26T20:26:02.8083138Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.8083654Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.8084139Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 97, in forward
2025-08-26T20:26:02.8084715Z     y = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:26:02.8084997Z 
2025-08-26T20:26:02.8085159Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8085985Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8086758Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8087234Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8087718Z     x = block(x)
2025-08-26T20:26:02.8088143Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.8088659Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.8089148Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 97, in forward
2025-08-26T20:26:02.8089725Z     y = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:26:02.8090003Z 
2025-08-26T20:26:02.8090164Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8091043Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8091813Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8092285Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8092765Z     x = block(x)
2025-08-26T20:26:02.8093181Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.8093689Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.8094166Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 97, in forward
2025-08-26T20:26:02.8094734Z     y = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:26:02.8095013Z 
2025-08-26T20:26:02.8095132Z cudagraph partition due to non gpu ops
2025-08-26T20:26:02.8095482Z cudagraph partition due to non gpu ops
2025-08-26T20:26:02.8095823Z cudagraph partition due to non gpu ops
2025-08-26T20:26:02.8096215Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8097029Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8097798Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8098270Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8098764Z     x = block(x)
2025-08-26T20:26:02.8099170Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.8099682Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.8100163Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 83, in forward
2025-08-26T20:26:02.8100702Z     q, k, v = self.c_attn(x).split(self.n_embd, dim=2)
2025-08-26T20:26:02.8101005Z 
2025-08-26T20:26:02.8101177Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8101990Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8102767Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8103236Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8103730Z     x = block(x)
2025-08-26T20:26:02.8104137Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.8104653Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.8105135Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 83, in forward
2025-08-26T20:26:02.8105755Z     q, k, v = self.c_attn(x).split(self.n_embd, dim=2)
2025-08-26T20:26:02.8106002Z 
2025-08-26T20:26:02.8106180Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8107011Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8107136Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8107419Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8107521Z     x = block(x)
2025-08-26T20:26:02.8107793Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.8107897Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.8108177Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 83, in forward
2025-08-26T20:26:02.8108314Z     q, k, v = self.c_attn(x).split(self.n_embd, dim=2)
2025-08-26T20:26:02.8108318Z 
2025-08-26T20:26:02.8108489Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8109018Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8109121Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8109408Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8109495Z     x = block(x)
2025-08-26T20:26:02.8109833Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:26:02.8109936Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:26:02.8110204Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 131, in forward
2025-08-26T20:26:02.8110306Z     x = self.c_proj(x)
2025-08-26T20:26:02.8110310Z 
2025-08-26T20:26:02.8110470Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8111010Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8111114Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8111399Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8111486Z     x = block(x)
2025-08-26T20:26:02.8111761Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:26:02.8111877Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:26:02.8112150Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 131, in forward
2025-08-26T20:26:02.8112256Z     x = self.c_proj(x)
2025-08-26T20:26:02.8112260Z 
2025-08-26T20:26:02.8112425Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8112953Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8113067Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8113338Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8113436Z     x = block(x)
2025-08-26T20:26:02.8113704Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:26:02.8113808Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:26:02.8114088Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 131, in forward
2025-08-26T20:26:02.8114232Z     x = self.c_proj(x)
2025-08-26T20:26:02.8114236Z 
2025-08-26T20:26:02.8114410Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8114942Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8115042Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8115321Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8115407Z     x = block(x)
2025-08-26T20:26:02.8115688Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:26:02.8115791Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:26:02.8116056Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 130, in forward
2025-08-26T20:26:02.8116154Z     x = new_gelu(x)
2025-08-26T20:26:02.8116422Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 26, in new_gelu
2025-08-26T20:26:02.8116520Z     0.5
2025-08-26T20:26:02.8116712Z Gradient addition node due to multiple use of tensor around:
2025-08-26T20:26:02.8116874Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8117413Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8117514Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8117795Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8117880Z     x = block(x)
2025-08-26T20:26:02.8118147Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:26:02.8118260Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:26:02.8118529Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 129, in forward
2025-08-26T20:26:02.8118628Z     x = self.c_fc(x)
2025-08-26T20:26:02.8118632Z 
2025-08-26T20:26:02.8118794Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8119408Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8119513Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8119783Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8119883Z     x = block(x)
2025-08-26T20:26:02.8120154Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:26:02.8120269Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:26:02.8120538Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 129, in forward
2025-08-26T20:26:02.8120627Z     x = self.c_fc(x)
2025-08-26T20:26:02.8120631Z 
2025-08-26T20:26:02.8120806Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8121333Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8121451Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8121724Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8121811Z     x = block(x)
2025-08-26T20:26:02.8122092Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.8122193Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.8122474Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 117, in forward
2025-08-26T20:26:02.8122590Z     y = self.resid_dropout(self.c_proj(y))
2025-08-26T20:26:02.8122595Z 
2025-08-26T20:26:02.8122755Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8123297Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8123399Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8123679Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8123817Z     x = block(x)
2025-08-26T20:26:02.8124088Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.8124205Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.8124474Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 117, in forward
2025-08-26T20:26:02.8124602Z     y = self.resid_dropout(self.c_proj(y))
2025-08-26T20:26:02.8124606Z 
2025-08-26T20:26:02.8124724Z cudagraph partition due to non gpu ops
2025-08-26T20:26:02.8124899Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8125429Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8125531Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8125816Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8125902Z     x = block(x)
2025-08-26T20:26:02.8126189Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.8126293Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.8126568Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 117, in forward
2025-08-26T20:26:02.8126700Z     y = self.resid_dropout(self.c_proj(y))
2025-08-26T20:26:02.8126704Z 
2025-08-26T20:26:02.8126865Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8127409Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8127512Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8127782Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8127886Z     x = block(x)
2025-08-26T20:26:02.8128156Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.8128275Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.8128546Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 97, in forward
2025-08-26T20:26:02.8128762Z     y = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:26:02.8128783Z 
2025-08-26T20:26:02.8128944Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8129479Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8129598Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8129871Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8129972Z     x = block(x)
2025-08-26T20:26:02.8130242Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.8130349Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.8130630Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 97, in forward
2025-08-26T20:26:02.8130795Z     y = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:26:02.8130802Z 
2025-08-26T20:26:02.8130978Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8131508Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8131613Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8131902Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8131987Z     x = block(x)
2025-08-26T20:26:02.8132270Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.8132375Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.8132642Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 97, in forward
2025-08-26T20:26:02.8132818Z     y = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:26:02.8132823Z 
2025-08-26T20:26:02.8132939Z cudagraph partition due to non gpu ops
2025-08-26T20:26:02.8133119Z cudagraph partition due to non gpu ops
2025-08-26T20:26:02.8133234Z cudagraph partition due to non gpu ops
2025-08-26T20:26:02.8133400Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8133950Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8134052Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8134335Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8134420Z     x = block(x)
2025-08-26T20:26:02.8134687Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.8134802Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.8135067Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 83, in forward
2025-08-26T20:26:02.8135214Z     q, k, v = self.c_attn(x).split(self.n_embd, dim=2)
2025-08-26T20:26:02.8135218Z 
2025-08-26T20:26:02.8135381Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8135925Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8136026Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8136297Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8136397Z     x = block(x)
2025-08-26T20:26:02.8136665Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.8136780Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.8137045Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 83, in forward
2025-08-26T20:26:02.8137180Z     q, k, v = self.c_attn(x).split(self.n_embd, dim=2)
2025-08-26T20:26:02.8137184Z 
2025-08-26T20:26:02.8137357Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8137888Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8138008Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8138328Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8138413Z     x = block(x)
2025-08-26T20:26:02.8138694Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.8138798Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.8139079Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 83, in forward
2025-08-26T20:26:02.8139213Z     q, k, v = self.c_attn(x).split(self.n_embd, dim=2)
2025-08-26T20:26:02.8139217Z 
2025-08-26T20:26:02.8139376Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8139917Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8140020Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8140507Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8140595Z     x = block(x)
2025-08-26T20:26:02.8140883Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:26:02.8140987Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:26:02.8141257Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 131, in forward
2025-08-26T20:26:02.8141361Z     x = self.c_proj(x)
2025-08-26T20:26:02.8141366Z 
2025-08-26T20:26:02.8141527Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8142068Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8142170Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8142438Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8142537Z     x = block(x)
2025-08-26T20:26:02.8142805Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:26:02.8143027Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:26:02.8143300Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 131, in forward
2025-08-26T20:26:02.8143391Z     x = self.c_proj(x)
2025-08-26T20:26:02.8143395Z 
2025-08-26T20:26:02.8143567Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8144093Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8144208Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8144478Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8144562Z     x = block(x)
2025-08-26T20:26:02.8144846Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:26:02.8144951Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:26:02.8145306Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 131, in forward
2025-08-26T20:26:02.8145407Z     x = self.c_proj(x)
2025-08-26T20:26:02.8145412Z 
2025-08-26T20:26:02.8145577Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8146122Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8146227Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8146514Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8146599Z     x = block(x)
2025-08-26T20:26:02.8146886Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:26:02.8146991Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:26:02.8147261Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 130, in forward
2025-08-26T20:26:02.8147364Z     x = new_gelu(x)
2025-08-26T20:26:02.8147635Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 26, in new_gelu
2025-08-26T20:26:02.8147733Z     0.5
2025-08-26T20:26:02.8147923Z Gradient addition node due to multiple use of tensor around:
2025-08-26T20:26:02.8148179Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8148720Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8148822Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8149106Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8149193Z     x = block(x)
2025-08-26T20:26:02.8149463Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:26:02.8149579Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:26:02.8149847Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 129, in forward
2025-08-26T20:26:02.8149948Z     x = self.c_fc(x)
2025-08-26T20:26:02.8149952Z 
2025-08-26T20:26:02.8150113Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8150646Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8150766Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8151038Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8151134Z     x = block(x)
2025-08-26T20:26:02.8151401Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:26:02.8151503Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:26:02.8151783Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 129, in forward
2025-08-26T20:26:02.8151869Z     x = self.c_fc(x)
2025-08-26T20:26:02.8151873Z 
2025-08-26T20:26:02.8152045Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8152570Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8152728Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8153014Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8153101Z     x = block(x)
2025-08-26T20:26:02.8153382Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.8153485Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.8153754Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 117, in forward
2025-08-26T20:26:02.8153885Z     y = self.resid_dropout(self.c_proj(y))
2025-08-26T20:26:02.8153889Z 
2025-08-26T20:26:02.8154050Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8154596Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8154697Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8154980Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8155070Z     x = block(x)
2025-08-26T20:26:02.8155340Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.8155458Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.8155725Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 117, in forward
2025-08-26T20:26:02.8155855Z     y = self.resid_dropout(self.c_proj(y))
2025-08-26T20:26:02.8155859Z 
2025-08-26T20:26:02.8155975Z cudagraph partition due to non gpu ops
2025-08-26T20:26:02.8156134Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8156676Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8156779Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8157060Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8157144Z     x = block(x)
2025-08-26T20:26:02.8157411Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.8157531Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.8157889Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 117, in forward
2025-08-26T20:26:02.8158020Z     y = self.resid_dropout(self.c_proj(y))
2025-08-26T20:26:02.8158024Z 
2025-08-26T20:26:02.8158184Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8158720Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8158833Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8159104Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8159202Z     x = block(x)
2025-08-26T20:26:02.8159469Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.8159571Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.8159857Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 97, in forward
2025-08-26T20:26:02.8160022Z     y = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:26:02.8160026Z 
2025-08-26T20:26:02.8160205Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8160738Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8160856Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8161130Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8161214Z     x = block(x)
2025-08-26T20:26:02.8161498Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.8161604Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.8161882Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 97, in forward
2025-08-26T20:26:02.8162044Z     y = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:26:02.8162105Z 
2025-08-26T20:26:02.8162266Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8162819Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8162921Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8163206Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8163292Z     x = block(x)
2025-08-26T20:26:02.8163563Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.8163677Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.8163944Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 97, in forward
2025-08-26T20:26:02.8164117Z     y = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:26:02.8164121Z 
2025-08-26T20:26:02.8164235Z cudagraph partition due to non gpu ops
2025-08-26T20:26:02.8164352Z cudagraph partition due to non gpu ops
2025-08-26T20:26:02.8164480Z cudagraph partition due to non gpu ops
2025-08-26T20:26:02.8164650Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8165201Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8165306Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8165591Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8165677Z     x = block(x)
2025-08-26T20:26:02.8165948Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.8166064Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.8166333Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 83, in forward
2025-08-26T20:26:02.8166481Z     q, k, v = self.c_attn(x).split(self.n_embd, dim=2)
2025-08-26T20:26:02.8166485Z 
2025-08-26T20:26:02.8166646Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8167190Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8167358Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8167630Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8167729Z     x = block(x)
2025-08-26T20:26:02.8168001Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.8168106Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.8168389Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 83, in forward
2025-08-26T20:26:02.8168526Z     q, k, v = self.c_attn(x).split(self.n_embd, dim=2)
2025-08-26T20:26:02.8168530Z 
2025-08-26T20:26:02.8168705Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8169243Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8169351Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8169643Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8169730Z     x = block(x)
2025-08-26T20:26:02.8170018Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.8170125Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.8170391Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 83, in forward
2025-08-26T20:26:02.8170543Z     q, k, v = self.c_attn(x).split(self.n_embd, dim=2)
2025-08-26T20:26:02.8170547Z 
2025-08-26T20:26:02.8170708Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8171261Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8171365Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8171650Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8171786Z     x = block(x)
2025-08-26T20:26:02.8172060Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:26:02.8172181Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:26:02.8172448Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 131, in forward
2025-08-26T20:26:02.8172553Z     x = self.c_proj(x)
2025-08-26T20:26:02.8172557Z 
2025-08-26T20:26:02.8172717Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8173252Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8173366Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8173639Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8173735Z     x = block(x)
2025-08-26T20:26:02.8174004Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:26:02.8174110Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:26:02.8174395Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 131, in forward
2025-08-26T20:26:02.8174490Z     x = self.c_proj(x)
2025-08-26T20:26:02.8174494Z 
2025-08-26T20:26:02.8174664Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8175198Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8175300Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8175579Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8175663Z     x = block(x)
2025-08-26T20:26:02.8175942Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:26:02.8176042Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:26:02.8176310Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 131, in forward
2025-08-26T20:26:02.8176418Z     x = self.c_proj(x)
2025-08-26T20:26:02.8176423Z 
2025-08-26T20:26:02.8176579Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8177182Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8177285Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8177565Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8177651Z     x = block(x)
2025-08-26T20:26:02.8177918Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:26:02.8178031Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:26:02.8178301Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 130, in forward
2025-08-26T20:26:02.8178400Z     x = new_gelu(x)
2025-08-26T20:26:02.8178673Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 26, in new_gelu
2025-08-26T20:26:02.8178759Z     0.5
2025-08-26T20:26:02.8178961Z Gradient addition node due to multiple use of tensor around:
2025-08-26T20:26:02.8179128Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8179680Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8179782Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8180051Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8180154Z     x = block(x)
2025-08-26T20:26:02.8180423Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:26:02.8180539Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:26:02.8180807Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 129, in forward
2025-08-26T20:26:02.8180896Z     x = self.c_fc(x)
2025-08-26T20:26:02.8180900Z 
2025-08-26T20:26:02.8181074Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8181664Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8181783Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8182053Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8182137Z     x = block(x)
2025-08-26T20:26:02.8182417Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:26:02.8182519Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:26:02.8182800Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 129, in forward
2025-08-26T20:26:02.8182887Z     x = self.c_fc(x)
2025-08-26T20:26:02.8182891Z 
2025-08-26T20:26:02.8183048Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8183596Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8183700Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8183984Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8184068Z     x = block(x)
2025-08-26T20:26:02.8184342Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.8184458Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.8184728Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 117, in forward
2025-08-26T20:26:02.8184858Z     y = self.resid_dropout(self.c_proj(y))
2025-08-26T20:26:02.8184863Z 
2025-08-26T20:26:02.8185022Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8185647Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8185752Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8186025Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8186133Z     x = block(x)
2025-08-26T20:26:02.8186406Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.8186585Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.8186858Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 117, in forward
2025-08-26T20:26:02.8186973Z     y = self.resid_dropout(self.c_proj(y))
2025-08-26T20:26:02.8186977Z 
2025-08-26T20:26:02.8187106Z cudagraph partition due to non gpu ops
2025-08-26T20:26:02.8187264Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8187811Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8187912Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8188182Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8188281Z     x = block(x)
2025-08-26T20:26:02.8188552Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.8188671Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.8188946Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 117, in forward
2025-08-26T20:26:02.8189063Z     y = self.resid_dropout(self.c_proj(y))
2025-08-26T20:26:02.8189079Z 
2025-08-26T20:26:02.8189238Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8189771Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8189886Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8190155Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8190249Z     x = block(x)
2025-08-26T20:26:02.8190517Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.8190620Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.8190900Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 97, in forward
2025-08-26T20:26:02.8191132Z     y = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:26:02.8191137Z 
2025-08-26T20:26:02.8191315Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8191853Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8191954Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8192237Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8192321Z     x = block(x)
2025-08-26T20:26:02.8192604Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.8192707Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.8192974Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 97, in forward
2025-08-26T20:26:02.8193148Z     y = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:26:02.8193157Z 
2025-08-26T20:26:02.8193314Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8193865Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8193971Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8194241Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8194336Z     x = block(x)
2025-08-26T20:26:02.8194604Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.8194720Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.8194986Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 97, in forward
2025-08-26T20:26:02.8195146Z     y = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:26:02.8195162Z 
2025-08-26T20:26:02.8195279Z cudagraph partition due to non gpu ops
2025-08-26T20:26:02.8195393Z cudagraph partition due to non gpu ops
2025-08-26T20:26:02.8195521Z cudagraph partition due to non gpu ops
2025-08-26T20:26:02.8195680Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8196282Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8196385Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8196658Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8196754Z     x = block(x)
2025-08-26T20:26:02.8197025Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.8197140Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.8197408Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 83, in forward
2025-08-26T20:26:02.8197543Z     q, k, v = self.c_attn(x).split(self.n_embd, dim=2)
2025-08-26T20:26:02.8197547Z 
2025-08-26T20:26:02.8197718Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8198255Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8198372Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8198642Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8198730Z     x = block(x)
2025-08-26T20:26:02.8199015Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.8199121Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.8199405Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 83, in forward
2025-08-26T20:26:02.8199541Z     q, k, v = self.c_attn(x).split(self.n_embd, dim=2)
2025-08-26T20:26:02.8199545Z 
2025-08-26T20:26:02.8199704Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8200257Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8200414Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8200699Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8200788Z     x = block(x)
2025-08-26T20:26:02.8201074Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.8201179Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.8201445Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 83, in forward
2025-08-26T20:26:02.8201590Z     q, k, v = self.c_attn(x).split(self.n_embd, dim=2)
2025-08-26T20:26:02.8201595Z 
2025-08-26T20:26:02.8201754Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8202298Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8202399Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8202671Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8202771Z     x = block(x)
2025-08-26T20:26:02.8203039Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:26:02.8203162Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:26:02.8203430Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 131, in forward
2025-08-26T20:26:02.8203521Z     x = self.c_proj(x)
2025-08-26T20:26:02.8203525Z 
2025-08-26T20:26:02.8203698Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8204232Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8204346Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8204617Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8204702Z     x = block(x)
2025-08-26T20:26:02.8204984Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:26:02.8205092Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:26:02.8205380Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 131, in forward
2025-08-26T20:26:02.8205527Z     x = self.c_proj(x)
2025-08-26T20:26:02.8205531Z 
2025-08-26T20:26:02.8205693Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8206241Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8206345Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8206630Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8206715Z     x = block(x)
2025-08-26T20:26:02.8206998Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:26:02.8207103Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:26:02.8207375Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 131, in forward
2025-08-26T20:26:02.8207488Z     x = self.c_proj(x)
2025-08-26T20:26:02.8207492Z 
2025-08-26T20:26:02.8207653Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8208208Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8208312Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8208584Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8208686Z     x = block(x)
2025-08-26T20:26:02.8208957Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:26:02.8209075Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:26:02.8209346Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 130, in forward
2025-08-26T20:26:02.8209437Z     x = new_gelu(x)
2025-08-26T20:26:02.8209722Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 26, in new_gelu
2025-08-26T20:26:02.8209808Z     0.5
2025-08-26T20:26:02.8220112Z Gradient addition node due to multiple use of tensor around:
2025-08-26T20:26:02.8220373Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8220952Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8221074Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8221356Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8221444Z     x = block(x)
2025-08-26T20:26:02.8221735Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:26:02.8221842Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:26:02.8222131Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 129, in forward
2025-08-26T20:26:02.8222221Z     x = self.c_fc(x)
2025-08-26T20:26:02.8222227Z 
2025-08-26T20:26:02.8222392Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8222943Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8223052Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8223346Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8223431Z     x = block(x)
2025-08-26T20:26:02.8223701Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:26:02.8223818Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:26:02.8224087Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 129, in forward
2025-08-26T20:26:02.8224189Z     x = self.c_fc(x)
2025-08-26T20:26:02.8224194Z 
2025-08-26T20:26:02.8224361Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8224909Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8225010Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8225380Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8225485Z     x = block(x)
2025-08-26T20:26:02.8225895Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.8226018Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.8226288Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 117, in forward
2025-08-26T20:26:02.8226407Z     y = self.resid_dropout(self.c_proj(y))
2025-08-26T20:26:02.8226413Z 
2025-08-26T20:26:02.8226589Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8227130Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8227248Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8227519Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8227605Z     x = block(x)
2025-08-26T20:26:02.8227894Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.8228000Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.8228288Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 117, in forward
2025-08-26T20:26:02.8228408Z     y = self.resid_dropout(self.c_proj(y))
2025-08-26T20:26:02.8228413Z 
2025-08-26T20:26:02.8228532Z cudagraph partition due to non gpu ops
2025-08-26T20:26:02.8228706Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8229247Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8229362Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8229633Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8229721Z     x = block(x)
2025-08-26T20:26:02.8230004Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.8230170Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.8230454Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 117, in forward
2025-08-26T20:26:02.8230572Z     y = self.resid_dropout(self.c_proj(y))
2025-08-26T20:26:02.8230578Z 
2025-08-26T20:26:02.8230753Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8231286Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8231388Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8231673Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8231757Z     x = block(x)
2025-08-26T20:26:02.8232040Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.8232145Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.8232413Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 97, in forward
2025-08-26T20:26:02.8232594Z     y = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:26:02.8232599Z 
2025-08-26T20:26:02.8232768Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8233315Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8233418Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8233690Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8233786Z     x = block(x)
2025-08-26T20:26:02.8234057Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.8234175Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.8234441Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 97, in forward
2025-08-26T20:26:02.8234604Z     y = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:26:02.8234622Z 
2025-08-26T20:26:02.8234785Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8235370Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8235487Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8235758Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8235856Z     x = block(x)
2025-08-26T20:26:02.8236128Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.8236232Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.8236512Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 97, in forward
2025-08-26T20:26:02.8236675Z     y = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:26:02.8236680Z 
2025-08-26T20:26:02.8236814Z cudagraph partition due to non gpu ops
2025-08-26T20:26:02.8236933Z cudagraph partition due to non gpu ops
2025-08-26T20:26:02.8237048Z cudagraph partition due to non gpu ops
2025-08-26T20:26:02.8237223Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8237764Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8237880Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8238153Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8238240Z     x = block(x)
2025-08-26T20:26:02.8238526Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.8238628Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.8238911Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 83, in forward
2025-08-26T20:26:02.8239048Z     q, k, v = self.c_attn(x).split(self.n_embd, dim=2)
2025-08-26T20:26:02.8239053Z 
2025-08-26T20:26:02.8239212Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8239761Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8239932Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8240499Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8240602Z     x = block(x)
2025-08-26T20:26:02.8240876Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.8240996Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.8241266Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 83, in forward
2025-08-26T20:26:02.8241420Z     q, k, v = self.c_attn(x).split(self.n_embd, dim=2)
2025-08-26T20:26:02.8241424Z 
2025-08-26T20:26:02.8241591Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8242141Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8242244Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8242524Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8242622Z     x = block(x)
2025-08-26T20:26:02.8242899Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.8243015Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.8243282Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 83, in forward
2025-08-26T20:26:02.8243421Z     q, k, v = self.c_attn(x).split(self.n_embd, dim=2)
2025-08-26T20:26:02.8243426Z 
2025-08-26T20:26:02.8243597Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8244131Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8244246Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8244520Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8244610Z     x = block(x)
2025-08-26T20:26:02.8244895Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:26:02.8245000Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:26:02.8245403Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 131, in forward
2025-08-26T20:26:02.8245499Z     x = self.c_proj(x)
2025-08-26T20:26:02.8245504Z 
2025-08-26T20:26:02.8245666Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8246217Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8246321Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8246609Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8246699Z     x = block(x)
2025-08-26T20:26:02.8246980Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:26:02.8247084Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:26:02.8247360Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 131, in forward
2025-08-26T20:26:02.8247465Z     x = self.c_proj(x)
2025-08-26T20:26:02.8247473Z 
2025-08-26T20:26:02.8247634Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8248180Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8248283Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8248551Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8248651Z     x = block(x)
2025-08-26T20:26:02.8248922Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:26:02.8249037Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:26:02.8249304Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 131, in forward
2025-08-26T20:26:02.8249395Z     x = self.c_proj(x)
2025-08-26T20:26:02.8249473Z 
2025-08-26T20:26:02.8249646Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8250182Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8250298Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8250570Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8250654Z     x = block(x)
2025-08-26T20:26:02.8250936Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:26:02.8251038Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:26:02.8251322Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 130, in forward
2025-08-26T20:26:02.8251408Z     x = new_gelu(x)
2025-08-26T20:26:02.8251677Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 26, in new_gelu
2025-08-26T20:26:02.8251774Z     0.5
2025-08-26T20:26:02.8251963Z Gradient addition node due to multiple use of tensor around:
2025-08-26T20:26:02.8252143Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8252685Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8252786Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8253067Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8253155Z     x = block(x)
2025-08-26T20:26:02.8253436Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:26:02.8253540Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:26:02.8253810Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 129, in forward
2025-08-26T20:26:02.8253909Z     x = self.c_fc(x)
2025-08-26T20:26:02.8253914Z 
2025-08-26T20:26:02.8254073Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8254622Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8254728Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8255064Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8255150Z     x = block(x)
2025-08-26T20:26:02.8255419Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:26:02.8255536Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:26:02.8255805Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 129, in forward
2025-08-26T20:26:02.8255908Z     x = self.c_fc(x)
2025-08-26T20:26:02.8255912Z 
2025-08-26T20:26:02.8256073Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8256607Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8256721Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8256991Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8257094Z     x = block(x)
2025-08-26T20:26:02.8257368Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.8257473Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.8257755Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 117, in forward
2025-08-26T20:26:02.8257875Z     y = self.resid_dropout(self.c_proj(y))
2025-08-26T20:26:02.8257879Z 
2025-08-26T20:26:02.8258056Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8258591Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8258694Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8258980Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8259066Z     x = block(x)
2025-08-26T20:26:02.8259352Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.8259513Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.8259788Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 117, in forward
2025-08-26T20:26:02.8259919Z     y = self.resid_dropout(self.c_proj(y))
2025-08-26T20:26:02.8259923Z 
2025-08-26T20:26:02.8260040Z cudagraph partition due to non gpu ops
2025-08-26T20:26:02.8260213Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8260749Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8260868Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8261143Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8261234Z     x = block(x)
2025-08-26T20:26:02.8261518Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.8261621Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.8261910Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 117, in forward
2025-08-26T20:26:02.8262031Z     y = self.resid_dropout(self.c_proj(y))
2025-08-26T20:26:02.8262036Z 
2025-08-26T20:26:02.8262195Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8262745Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8262847Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8263133Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8263222Z     x = block(x)
2025-08-26T20:26:02.8263494Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.8263612Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.8263877Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 97, in forward
2025-08-26T20:26:02.8264059Z     y = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:26:02.8264064Z 
2025-08-26T20:26:02.8264227Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8264813Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8264932Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8265277Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8265378Z     x = block(x)
2025-08-26T20:26:02.8265648Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.8265755Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.8266038Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 97, in forward
2025-08-26T20:26:02.8266200Z     y = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:26:02.8266204Z 
2025-08-26T20:26:02.8266378Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8266918Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8267038Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8267308Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8267395Z     x = block(x)
2025-08-26T20:26:02.8267679Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.8267783Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.8268062Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 97, in forward
2025-08-26T20:26:02.8268224Z     y = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:26:02.8268228Z 
2025-08-26T20:26:02.8268346Z cudagraph partition due to non gpu ops
2025-08-26T20:26:02.8268477Z cudagraph partition due to non gpu ops
2025-08-26T20:26:02.8268594Z cudagraph partition due to non gpu ops
2025-08-26T20:26:02.8268827Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8269364Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8269470Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8269755Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8269840Z     x = block(x)
2025-08-26T20:26:02.8270124Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.8270228Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.8270493Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 83, in forward
2025-08-26T20:26:02.8270646Z     q, k, v = self.c_attn(x).split(self.n_embd, dim=2)
2025-08-26T20:26:02.8270650Z 
2025-08-26T20:26:02.8270810Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8271360Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8271465Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8271750Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8271835Z     x = block(x)
2025-08-26T20:26:02.8272106Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.8272222Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.8272488Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 83, in forward
2025-08-26T20:26:02.8272635Z     q, k, v = self.c_attn(x).split(self.n_embd, dim=2)
2025-08-26T20:26:02.8272639Z 
2025-08-26T20:26:02.8272798Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8273332Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8273445Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8273719Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8273818Z     x = block(x)
2025-08-26T20:26:02.8274151Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.8274256Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.8274538Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 83, in forward
2025-08-26T20:26:02.8274672Z     q, k, v = self.c_attn(x).split(self.n_embd, dim=2)
2025-08-26T20:26:02.8274676Z 
2025-08-26T20:26:02.8274848Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8275420Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8275553Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8275972Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8276790Z     x = block(x)
2025-08-26T20:26:02.8277463Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:26:02.8278153Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:26:02.8278867Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 131, in forward
2025-08-26T20:26:02.8279763Z     x = self.c_proj(x)
2025-08-26T20:26:02.8280047Z 
2025-08-26T20:26:02.8280346Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8281818Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8283259Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8284138Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8285067Z     x = block(x)
2025-08-26T20:26:02.8285787Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:26:02.8287170Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:26:02.8287840Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 129, in forward
2025-08-26T20:26:02.8288560Z     x = self.c_fc(x)
2025-08-26T20:26:02.8288710Z 
2025-08-26T20:26:02.8288893Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8289701Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8290470Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8290940Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8291435Z     x = block(x)
2025-08-26T20:26:02.8291844Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.8292355Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.8292838Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 117, in forward
2025-08-26T20:26:02.8293362Z     y = self.resid_dropout(self.c_proj(y))
2025-08-26T20:26:02.8293594Z 
2025-08-26T20:26:02.8293766Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8294744Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8295646Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8296252Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8296750Z     x = block(x)
2025-08-26T20:26:02.8297152Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.8297669Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.8298155Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 83, in forward
2025-08-26T20:26:02.8298695Z     q, k, v = self.c_attn(x).split(self.n_embd, dim=2)
2025-08-26T20:26:02.8298948Z 
2025-08-26T20:26:02.8299123Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8299935Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8300709Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8301249Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8301751Z     x = block(x)
2025-08-26T20:26:02.8302157Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:26:02.8302675Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:26:02.8303158Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 131, in forward
2025-08-26T20:26:02.8303657Z     x = self.c_proj(x)
2025-08-26T20:26:02.8303813Z 
2025-08-26T20:26:02.8303987Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8304797Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8305632Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8306100Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8306592Z     x = block(x)
2025-08-26T20:26:02.8307002Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:26:02.8307507Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:26:02.8307986Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 129, in forward
2025-08-26T20:26:02.8308474Z     x = self.c_fc(x)
2025-08-26T20:26:02.8308622Z 
2025-08-26T20:26:02.8308794Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8309589Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8310343Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8310807Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8311298Z     x = block(x)
2025-08-26T20:26:02.8311704Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.8312274Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.8312766Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 117, in forward
2025-08-26T20:26:02.8313297Z     y = self.resid_dropout(self.c_proj(y))
2025-08-26T20:26:02.8313525Z 
2025-08-26T20:26:02.8313697Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8314504Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8315276Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8315745Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8316244Z     x = block(x)
2025-08-26T20:26:02.8316651Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.8317168Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.8317654Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 83, in forward
2025-08-26T20:26:02.8318198Z     q, k, v = self.c_attn(x).split(self.n_embd, dim=2)
2025-08-26T20:26:02.8318448Z 
2025-08-26T20:26:02.8318614Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8319434Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8320208Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8320678Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8321175Z     x = block(x)
2025-08-26T20:26:02.8321579Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:26:02.8322091Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:26:02.8322575Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 131, in forward
2025-08-26T20:26:02.8323075Z     x = self.c_proj(x)
2025-08-26T20:26:02.8323229Z 
2025-08-26T20:26:02.8323394Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8324273Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8325046Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8325513Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8326008Z     x = block(x)
2025-08-26T20:26:02.8326411Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:26:02.8326921Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:26:02.8327408Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 129, in forward
2025-08-26T20:26:02.8327901Z     x = self.c_fc(x)
2025-08-26T20:26:02.8328053Z 
2025-08-26T20:26:02.8328211Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8329033Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8329811Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8330281Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8330776Z     x = block(x)
2025-08-26T20:26:02.8331176Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.8331679Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.8332160Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 117, in forward
2025-08-26T20:26:02.8332685Z     y = self.resid_dropout(self.c_proj(y))
2025-08-26T20:26:02.8332912Z 
2025-08-26T20:26:02.8333070Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8333886Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8334647Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8335115Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8335666Z     x = block(x)
2025-08-26T20:26:02.8336074Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.8336586Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.8337065Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 83, in forward
2025-08-26T20:26:02.8337603Z     q, k, v = self.c_attn(x).split(self.n_embd, dim=2)
2025-08-26T20:26:02.8337856Z 
2025-08-26T20:26:02.8338016Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8338835Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8339602Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8340069Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8340794Z     x = block(x)
2025-08-26T20:26:02.8341202Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:26:02.8341725Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:26:02.8342215Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 131, in forward
2025-08-26T20:26:02.8342711Z     x = self.c_proj(x)
2025-08-26T20:26:02.8342868Z 
2025-08-26T20:26:02.8343028Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8343847Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8344615Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8345083Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8345658Z     x = block(x)
2025-08-26T20:26:02.8346075Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:26:02.8346588Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:26:02.8347074Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 129, in forward
2025-08-26T20:26:02.8347577Z     x = self.c_fc(x)
2025-08-26T20:26:02.8347731Z 
2025-08-26T20:26:02.8347892Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8348852Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8349632Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8350109Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8350592Z     x = block(x)
2025-08-26T20:26:02.8351014Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.8351571Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.8352056Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 117, in forward
2025-08-26T20:26:02.8352582Z     y = self.resid_dropout(self.c_proj(y))
2025-08-26T20:26:02.8352810Z 
2025-08-26T20:26:02.8352970Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8353794Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8354563Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8355026Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8355508Z     x = block(x)
2025-08-26T20:26:02.8355923Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.8356429Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.8356911Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 83, in forward
2025-08-26T20:26:02.8357450Z     q, k, v = self.c_attn(x).split(self.n_embd, dim=2)
2025-08-26T20:26:02.8357700Z 
2025-08-26T20:26:02.8357860Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8358680Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8359524Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8359994Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8360478Z     x = block(x)
2025-08-26T20:26:02.8360894Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:26:02.8361403Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:26:02.8361886Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 131, in forward
2025-08-26T20:26:02.8362371Z     x = self.c_proj(x)
2025-08-26T20:26:02.8362536Z 
2025-08-26T20:26:02.8362696Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8363517Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8364289Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8364758Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8365244Z     x = block(x)
2025-08-26T20:26:02.8365660Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:26:02.8366176Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:26:02.8366659Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 129, in forward
2025-08-26T20:26:02.8367146Z     x = self.c_fc(x)
2025-08-26T20:26:02.8367311Z 
2025-08-26T20:26:02.8367472Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8368298Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8369058Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8369528Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8370019Z     x = block(x)
2025-08-26T20:26:02.8370438Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.8370941Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.8371426Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 117, in forward
2025-08-26T20:26:02.8372032Z     y = self.resid_dropout(self.c_proj(y))
2025-08-26T20:26:02.8372265Z 
2025-08-26T20:26:02.8372439Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8373262Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8374034Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8374507Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8375005Z     x = block(x)
2025-08-26T20:26:02.8375428Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.8375927Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.8376404Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 83, in forward
2025-08-26T20:26:02.8376948Z     q, k, v = self.c_attn(x).split(self.n_embd, dim=2)
2025-08-26T20:26:02.8377196Z 
2025-08-26T20:26:02.8377368Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8378177Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8378945Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8379411Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8379905Z     x = block(x)
2025-08-26T20:26:02.8380318Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:26:02.8380814Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:26:02.8381292Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 131, in forward
2025-08-26T20:26:02.8381785Z     x = self.c_proj(x)
2025-08-26T20:26:02.8381939Z 
2025-08-26T20:26:02.8382112Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8382981Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8383752Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8384217Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8384708Z     x = block(x)
2025-08-26T20:26:02.8385111Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:26:02.8385706Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:26:02.8386185Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 129, in forward
2025-08-26T20:26:02.8386672Z     x = self.c_fc(x)
2025-08-26T20:26:02.8386821Z 
2025-08-26T20:26:02.8386996Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8387794Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8388553Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8389021Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8389524Z     x = block(x)
2025-08-26T20:26:02.8389930Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.8390444Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.8390931Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 117, in forward
2025-08-26T20:26:02.8391455Z     y = self.resid_dropout(self.c_proj(y))
2025-08-26T20:26:02.8391681Z 
2025-08-26T20:26:02.8391854Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8392661Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8393444Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8393909Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8394406Z     x = block(x)
2025-08-26T20:26:02.8394810Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.8395400Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.8395885Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 83, in forward
2025-08-26T20:26:02.8396426Z     q, k, v = self.c_attn(x).split(self.n_embd, dim=2)
2025-08-26T20:26:02.8396676Z 
2025-08-26T20:26:02.8396844Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8397652Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8398419Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8398889Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8399379Z     x = block(x)
2025-08-26T20:26:02.8399781Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:26:02.8400295Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:26:02.8400776Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 131, in forward
2025-08-26T20:26:02.8401276Z     x = self.c_proj(x)
2025-08-26T20:26:02.8401431Z 
2025-08-26T20:26:02.8401606Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8402421Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8403183Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8403645Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8404134Z     x = block(x)
2025-08-26T20:26:02.8404534Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:26:02.8405037Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:26:02.8405506Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 129, in forward
2025-08-26T20:26:02.8406054Z     x = self.c_fc(x)
2025-08-26T20:26:02.8406200Z 
2025-08-26T20:26:02.8406364Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8407184Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8407959Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8408418Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8408908Z     x = block(x)
2025-08-26T20:26:02.8409309Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.8409816Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.8410297Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 117, in forward
2025-08-26T20:26:02.8410816Z     y = self.resid_dropout(self.c_proj(y))
2025-08-26T20:26:02.8411044Z 
2025-08-26T20:26:02.8411203Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8412039Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8412983Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8413459Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8413952Z     x = block(x)
2025-08-26T20:26:02.8414356Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.8414863Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.8415341Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 83, in forward
2025-08-26T20:26:02.8415874Z     q, k, v = self.c_attn(x).split(self.n_embd, dim=2)
2025-08-26T20:26:02.8416123Z 
2025-08-26T20:26:02.8416279Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8417103Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8417865Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8418331Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8418896Z     x = block(x)
2025-08-26T20:26:02.8419301Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:26:02.8419812Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:26:02.8420295Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 131, in forward
2025-08-26T20:26:02.8420793Z     x = self.c_proj(x)
2025-08-26T20:26:02.8420946Z 
2025-08-26T20:26:02.8421104Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8421926Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8422691Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8423159Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8423653Z     x = block(x)
2025-08-26T20:26:02.8424051Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:26:02.8424555Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:26:02.8425033Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 129, in forward
2025-08-26T20:26:02.8425608Z     x = self.c_fc(x)
2025-08-26T20:26:02.8425752Z 
2025-08-26T20:26:02.8425913Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8426728Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8427493Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8427959Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8428438Z     x = block(x)
2025-08-26T20:26:02.8428855Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.8429362Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.8429914Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 117, in forward
2025-08-26T20:26:02.8430432Z     y = self.resid_dropout(self.c_proj(y))
2025-08-26T20:26:02.8430664Z 
2025-08-26T20:26:02.8430826Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8431643Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8432408Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8432870Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8433350Z     x = block(x)
2025-08-26T20:26:02.8433765Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.8434271Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.8434750Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 83, in forward
2025-08-26T20:26:02.8435284Z     q, k, v = self.c_attn(x).split(self.n_embd, dim=2)
2025-08-26T20:26:02.8435538Z 
2025-08-26T20:26:02.8435697Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8436524Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8437298Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8437766Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8438246Z     x = block(x)
2025-08-26T20:26:02.8438657Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:26:02.8439165Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:26:02.8439640Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 131, in forward
2025-08-26T20:26:02.8440129Z     x = self.c_proj(x)
2025-08-26T20:26:02.8440473Z 
2025-08-26T20:26:02.8440634Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8441456Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8442231Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8442812Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8443294Z     x = block(x)
2025-08-26T20:26:02.8443716Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:26:02.8444226Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:26:02.8444705Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 129, in forward
2025-08-26T20:26:02.8445204Z     x = self.c_fc(x)
2025-08-26T20:26:02.8445353Z 
2025-08-26T20:26:02.8445515Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8446334Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8447103Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8447573Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8448049Z     x = block(x)
2025-08-26T20:26:02.8448472Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.8448975Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.8449459Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 117, in forward
2025-08-26T20:26:02.8449968Z     y = self.resid_dropout(self.c_proj(y))
2025-08-26T20:26:02.8450209Z 
2025-08-26T20:26:02.8450370Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8451185Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8451934Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8452395Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8452872Z     x = block(x)
2025-08-26T20:26:02.8453383Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.8453891Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.8454378Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 83, in forward
2025-08-26T20:26:02.8454898Z     q, k, v = self.c_attn(x).split(self.n_embd, dim=2)
2025-08-26T20:26:02.8455155Z 
2025-08-26T20:26:02.8455315Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8456125Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8456879Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8457344Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8457818Z     x = block(x)
2025-08-26T20:26:02.8458230Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:26:02.8458734Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:26:02.8459215Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 131, in forward
2025-08-26T20:26:02.8459692Z     x = self.c_proj(x)
2025-08-26T20:26:02.8459860Z 
2025-08-26T20:26:02.8460025Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8460834Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8461589Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8462060Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8462533Z     x = block(x)
2025-08-26T20:26:02.8462952Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:26:02.8463459Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:26:02.8463932Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 129, in forward
2025-08-26T20:26:02.8464408Z     x = self.c_fc(x)
2025-08-26T20:26:02.8464573Z 
2025-08-26T20:26:02.8464733Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8465676Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8466438Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8466904Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8467381Z     x = block(x)
2025-08-26T20:26:02.8467801Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.8468313Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.8468804Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 117, in forward
2025-08-26T20:26:02.8469312Z     y = self.resid_dropout(self.c_proj(y))
2025-08-26T20:26:02.8469553Z 
2025-08-26T20:26:02.8469712Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8470520Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8471281Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8471754Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8472227Z     x = block(x)
2025-08-26T20:26:02.8472641Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.8473145Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.8473621Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 83, in forward
2025-08-26T20:26:02.8474139Z     q, k, v = self.c_attn(x).split(self.n_embd, dim=2)
2025-08-26T20:26:02.8474394Z 
2025-08-26T20:26:02.8474555Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8475362Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8476125Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8476642Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8477115Z     x = block(x)
2025-08-26T20:26:02.8477533Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:26:02.8478038Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:26:02.8478512Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 131, in forward
2025-08-26T20:26:02.8478991Z     x = self.c_proj(x)
2025-08-26T20:26:02.8479160Z 
2025-08-26T20:26:02.8479324Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8480135Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8480888Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8481337Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8481820Z     x = block(x)
2025-08-26T20:26:02.8482234Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:26:02.8482739Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:26:02.8483218Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 129, in forward
2025-08-26T20:26:02.8483695Z     x = self.c_fc(x)
2025-08-26T20:26:02.8483855Z 
2025-08-26T20:26:02.8484015Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8484828Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8485588Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8486042Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8486532Z     x = block(x)
2025-08-26T20:26:02.8486951Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.8487453Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.8487934Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 117, in forward
2025-08-26T20:26:02.8488444Z     y = self.resid_dropout(self.c_proj(y))
2025-08-26T20:26:02.8488678Z 
2025-08-26T20:26:02.8488897Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8489704Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8490464Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8490918Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8491410Z     x = block(x)
2025-08-26T20:26:02.8491829Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.8492343Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.8492810Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 83, in forward
2025-08-26T20:26:02.8493349Z     q, k, v = self.c_attn(x).split(self.n_embd, dim=2)
2025-08-26T20:26:02.8493612Z 
2025-08-26T20:26:02.8493772Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8494589Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8495348Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8495803Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8496298Z     x = block(x)
2025-08-26T20:26:02.8496718Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:26:02.8497225Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:26:02.8497697Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 131, in forward
2025-08-26T20:26:02.8498194Z     x = self.c_proj(x)
2025-08-26T20:26:02.8498364Z 
2025-08-26T20:26:02.8498525Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8499341Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8500186Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8500647Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8501136Z     x = block(x)
2025-08-26T20:26:02.8501558Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 146, in forward
2025-08-26T20:26:02.8502063Z     x = x + self.mlp(self.ln_2(x))
2025-08-26T20:26:02.8502527Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 129, in forward
2025-08-26T20:26:02.8503021Z     x = self.c_fc(x)
2025-08-26T20:26:02.8503186Z 
2025-08-26T20:26:02.8503345Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8504153Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8504907Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8505448Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8505938Z     x = block(x)
2025-08-26T20:26:02.8506355Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.8506862Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.8507326Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 117, in forward
2025-08-26T20:26:02.8507845Z     y = self.resid_dropout(self.c_proj(y))
2025-08-26T20:26:02.8508083Z 
2025-08-26T20:26:02.8508241Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8509050Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8509805Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8510259Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 229, in forward
2025-08-26T20:26:02.8510907Z     tok_emb = self.transformer.wte(idx)  # token embeddings of shape (b, t, n_embd)
2025-08-26T20:26:02.8511475Z Gradient addition node due to multiple use of tensor around:
2025-08-26T20:26:02.8511945Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:26:02.8512813Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-26T20:26:02.8513570Z     pred = mod(*cloned_inputs)
2025-08-26T20:26:02.8514031Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 235, in forward
2025-08-26T20:26:02.8514521Z     x = block(x)
2025-08-26T20:26:02.8514936Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 145, in forward
2025-08-26T20:26:02.8515432Z     x = x + self.attn(self.ln_1(x))
2025-08-26T20:26:02.8515909Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 83, in forward
2025-08-26T20:26:02.8516444Z     q, k, v = self.c_attn(x).split(self.n_embd, dim=2)
2025-08-26T20:26:02.8516687Z 
2025-08-26T20:26:12.0847778Z 
2025-08-26T20:26:13.1618365Z running benchmark:   0% 0/1 [00:00<?, ?it/s]
2025-08-26T20:26:13.1618910Z running benchmark: 100% 1/1 [00:01<00:00,  1.08s/it]
2025-08-26T20:26:13.1619324Z running benchmark: 100% 1/1 [00:01<00:00,  1.08s/it]
2025-08-26T20:26:13.2882512Z 1.019x
2025-08-26T20:26:13.2887001Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:26:18.3773443Z 
2025-08-26T20:26:20.8637521Z loading model: 0it [00:00, ?it/s]number of parameters: 123.69M
2025-08-26T20:26:20.8653503Z num decayed parameter tensors: 50, with 124,354,560 parameters
2025-08-26T20:26:20.8654273Z num non-decayed parameter tensors: 98, with 121,344 parameters
2025-08-26T20:26:20.8657569Z using fused AdamW: False
2025-08-26T20:26:21.7538445Z 
2025-08-26T20:26:21.7538878Z loading model: 0it [00:03, ?it/s]
2025-08-26T20:26:21.7539354Z cpu  train nanogpt                            
2025-08-26T20:26:36.7684063Z 
2025-08-26T20:26:37.6975658Z running benchmark:   0% 0/1 [00:00<?, ?it/s]
2025-08-26T20:26:37.6976617Z running benchmark: 100% 1/1 [00:00<00:00,  1.08it/s]
2025-08-26T20:26:37.6977147Z running benchmark: 100% 1/1 [00:00<00:00,  1.08it/s]
2025-08-26T20:26:37.8179705Z 0.964x
2025-08-26T20:26:37.8185152Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:26:39.9991190Z + [[ ! -s /tmp/tmp.aRaFuHmQXG/test.json ]]
2025-08-26T20:26:39.9991650Z + sccache_epilogue
2025-08-26T20:26:39.9991953Z + echo '::group::Sccache Compilation Log'
2025-08-26T20:26:39.9992707Z ##[group]Sccache Compilation Log
2025-08-26T20:26:39.9993060Z + echo '=================== sccache compilation log ==================='
2025-08-26T20:26:39.9993487Z =================== sccache compilation log ===================
2025-08-26T20:26:39.9994140Z + python /var/lib/jenkins/workspace/.ci/pytorch/print_sccache_log.py /var/lib/jenkins/sccache_error.log
2025-08-26T20:26:40.0286881Z + echo '=========== If your build fails, please take a look at the log above for possible reasons ==========='
2025-08-26T20:26:40.0287669Z =========== If your build fails, please take a look at the log above for possible reasons ===========
2025-08-26T20:26:40.0288191Z + sccache --show-stats
2025-08-26T20:26:40.0317029Z Compile requests                     106
2025-08-26T20:26:40.0317402Z Compile requests executed             63
2025-08-26T20:26:40.0317802Z Cache hits                            14
2025-08-26T20:26:40.0318122Z Cache hits (C/C++)                    14
2025-08-26T20:26:40.0318501Z Cache misses                          49
2025-08-26T20:26:40.0318806Z Cache misses (C/C++)                  49
2025-08-26T20:26:40.0319192Z Cache hits rate                    22.22 %
2025-08-26T20:26:40.0319524Z Cache hits rate (C/C++)            22.22 %
2025-08-26T20:26:40.0319913Z Cache timeouts                         0
2025-08-26T20:26:40.0320364Z Cache read errors                      0
2025-08-26T20:26:40.0320780Z Forced recaches                        0
2025-08-26T20:26:40.0321160Z Cache write errors                     0
2025-08-26T20:26:40.0321492Z Cache errors                           0
2025-08-26T20:26:40.0321796Z Compilations                          49
2025-08-26T20:26:40.0322942Z Compilation failures                   0
2025-08-26T20:26:40.0323326Z Non-cacheable compilations             0
2025-08-26T20:26:40.0323666Z Non-cacheable calls                    3
2025-08-26T20:26:40.0323987Z Non-compilation calls                 40
2025-08-26T20:26:40.0324329Z Unsupported compiler calls             0
2025-08-26T20:26:40.0324668Z Average cache write                0.052 s
2025-08-26T20:26:40.0325009Z Average compiler                  15.537 s
2025-08-26T20:26:40.0325371Z Average cache read hit             0.024 s
2025-08-26T20:26:40.0325714Z Failed distributed compilations        0
2025-08-26T20:26:40.0325955Z 
2025-08-26T20:26:40.0326054Z Non-cacheable reasons:
2025-08-26T20:26:40.0326323Z -E                                     3
2025-08-26T20:26:40.0326535Z 
2025-08-26T20:26:40.0326769Z Cache location                  s3, name: ossci-compiler-cache-circleci-v2, prefix: /
2025-08-26T20:26:40.0327242Z Version (client)                0.10.0
2025-08-26T20:26:40.0327563Z + sccache --stop-server
2025-08-26T20:26:40.0340897Z Stopping sccache server...
2025-08-26T20:26:40.0343375Z Compile requests                     106
2025-08-26T20:26:40.0343948Z Compile requests executed             63
2025-08-26T20:26:40.0344544Z Cache hits                            14
2025-08-26T20:26:40.0344859Z Cache hits (C/C++)                    14
2025-08-26T20:26:40.0345176Z Cache misses                          49
2025-08-26T20:26:40.0345579Z Cache misses (C/C++)                  49
2025-08-26T20:26:40.0345949Z Cache hits rate                    22.22 %
2025-08-26T20:26:40.0346452Z Cache hits rate (C/C++)            22.22 %
2025-08-26T20:26:40.0346966Z Cache timeouts                         0
2025-08-26T20:26:40.0347434Z Cache read errors                      0
2025-08-26T20:26:40.0347946Z Forced recaches                        0
2025-08-26T20:26:40.0348523Z Cache write errors                     0
2025-08-26T20:26:40.0348844Z Cache errors                           0
2025-08-26T20:26:40.0349165Z Compilations                          49
2025-08-26T20:26:40.0349493Z Compilation failures                   0
2025-08-26T20:26:40.0349834Z Non-cacheable compilations             0
2025-08-26T20:26:40.0350216Z Non-cacheable calls                    3
2025-08-26T20:26:40.0350549Z Non-compilation calls                 40
2025-08-26T20:26:40.0350925Z Unsupported compiler calls             0
2025-08-26T20:26:40.0351266Z Average cache write                0.052 s
2025-08-26T20:26:40.0351603Z Average compiler                  15.537 s
2025-08-26T20:26:40.0351942Z Average cache read hit             0.024 s
2025-08-26T20:26:40.0352274Z Failed distributed compilations        0
2025-08-26T20:26:40.0352515Z 
2025-08-26T20:26:40.0352616Z Non-cacheable reasons:
2025-08-26T20:26:40.0352887Z -E                                     3
2025-08-26T20:26:40.0353096Z 
2025-08-26T20:26:40.0353348Z Cache location                  s3, name: ossci-compiler-cache-circleci-v2, prefix: /
2025-08-26T20:26:40.0353800Z Version (client)                0.10.0
2025-08-26T20:26:40.0354141Z + echo ::endgroup::
2025-08-26T20:26:40.0354746Z ##[endgroup]
2025-08-26T20:26:40.0354979Z + cleanup_workspace
2025-08-26T20:26:40.0355490Z + echo 'sudo may print the following warning message that can be ignored. The chown command will still run.'
2025-08-26T20:26:40.0356482Z sudo may print the following warning message that can be ignored. The chown command will still run.
2025-08-26T20:26:40.0357533Z + echo '    sudo: setrlimit(RLIMIT_STACK): Operation not permitted'
2025-08-26T20:26:40.0358182Z     sudo: setrlimit(RLIMIT_STACK): Operation not permitted
2025-08-26T20:26:40.0359081Z + echo 'For more details refer to https://github.com/sudo-project/sudo/issues/42'
2025-08-26T20:26:40.0359882Z For more details refer to https://github.com/sudo-project/sudo/issues/42
2025-08-26T20:26:40.0360395Z + sudo chown -R 1000 /var/lib/jenkins/workspace
2025-08-26T20:26:40.6762438Z ##[group]Run pytorch/test-infra/.github/actions/upload-benchmark-results@main
2025-08-26T20:26:40.6762951Z with:
2025-08-26T20:26:40.6763216Z   benchmark-results-dir: test/test-reports
2025-08-26T20:26:40.6763550Z   dry-run: false
2025-08-26T20:26:40.6763779Z   schema-version: v3
2025-08-26T20:26:40.6764243Z   github-token: ***
2025-08-26T20:26:40.6764480Z env:
2025-08-26T20:26:40.6764706Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:26:40.6765175Z   DOCKER_CONTAINER_ID: 0369d32a889930d9332949b0eecd4b7e751a5ee52c28a36dccd55693e4575306
2025-08-26T20:26:40.6765671Z ##[endgroup]
2025-08-26T20:26:40.6801434Z ##[group]Run set -eux
2025-08-26T20:26:40.6801740Z set -eux
2025-08-26T20:26:40.6802108Z python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0
2025-08-26T20:26:40.6802561Z 
2025-08-26T20:26:40.6802794Z DEVICE_NAME=""
2025-08-26T20:26:40.6803074Z DEVICE_TYPE=""
2025-08-26T20:26:40.6803318Z 
2025-08-26T20:26:40.6803629Z if command -v nvidia-smi; then
2025-08-26T20:26:40.6804099Z   # NB: I'm using PyTorch here to get the device name, however, it needs to
2025-08-26T20:26:40.6804698Z   # install the correct version of PyTorch manually for now. Any PyTorch
2025-08-26T20:26:40.6805265Z   # version is fine, I just use 2.7.1 to satify PYPIDEP linter
2025-08-26T20:26:40.6805719Z   python3 -mpip install torch==2.7.1
2025-08-26T20:26:40.6806080Z elif command -v rocminfo; then
2025-08-26T20:26:40.6806525Z   # NB: Installing torch on ROCm runner with pip here causes CI to fail
2025-08-26T20:26:40.6807105Z   # with a memoryview is too large error only on MI300 runners. Is pip
2025-08-26T20:26:40.6807690Z   # version on ROCm runner there too old? As a workaround, let's use the
2025-08-26T20:26:40.6808206Z   # GPU device name coming from rocminfo instead
2025-08-26T20:26:40.6808578Z   DEVICE_NAME=rocm
2025-08-26T20:26:40.6809219Z   DEVICE_TYPE=$(rocminfo | grep "Marketing Name" | tail -n1 | awk -F':' '{print $2}' | xargs)
2025-08-26T20:26:40.6809741Z fi
2025-08-26T20:26:40.6809959Z 
2025-08-26T20:26:40.6810235Z echo "DEVICE_NAME=$DEVICE_NAME" >> $GITHUB_ENV
2025-08-26T20:26:40.6810663Z echo "DEVICE_TYPE=$DEVICE_TYPE" >> $GITHUB_ENV
2025-08-26T20:26:40.6820192Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:26:40.6820595Z env:
2025-08-26T20:26:40.6820824Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:26:40.6821300Z   DOCKER_CONTAINER_ID: 0369d32a889930d9332949b0eecd4b7e751a5ee52c28a36dccd55693e4575306
2025-08-26T20:26:40.6821801Z ##[endgroup]
2025-08-26T20:26:40.6853359Z + python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0
2025-08-26T20:26:40.9397701Z Defaulting to user installation because normal site-packages is not writeable
2025-08-26T20:26:42.0086284Z Collecting boto3==1.35.33
2025-08-26T20:26:42.0253777Z   Downloading boto3-1.35.33-py3-none-any.whl (139 kB)
2025-08-26T20:26:42.3395845Z Collecting psutil==7.0.0
2025-08-26T20:26:42.3432135Z   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)
2025-08-26T20:26:42.3713111Z Collecting pynvml==12.0.0
2025-08-26T20:26:42.3746647Z   Downloading pynvml-12.0.0-py3-none-any.whl (26 kB)
2025-08-26T20:26:43.5216042Z Collecting botocore<1.36.0,>=1.35.33
2025-08-26T20:26:43.5253078Z   Downloading botocore-1.35.99-py3-none-any.whl (13.3 MB)
2025-08-26T20:26:43.6713957Z 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)
2025-08-26T20:26:43.7103387Z Collecting s3transfer<0.11.0,>=0.10.0
2025-08-26T20:26:43.7152834Z   Downloading s3transfer-0.10.4-py3-none-any.whl (83 kB)
2025-08-26T20:26:43.7650834Z Collecting nvidia-ml-py<13.0.0a0,>=12.0.0
2025-08-26T20:26:43.7699788Z   Downloading nvidia_ml_py-12.575.51-py3-none-any.whl (47 kB)
2025-08-26T20:26:43.7801824Z 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)
2025-08-26T20:26:43.7812823Z 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)
2025-08-26T20:26:43.9775026Z 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)
2025-08-26T20:26:44.1173897Z Installing collected packages: botocore, s3transfer, nvidia-ml-py, pynvml, psutil, boto3
2025-08-26T20:26:44.6318944Z   Attempting uninstall: nvidia-ml-py
2025-08-26T20:26:44.6320650Z     Found existing installation: nvidia-ml-py 11.525.84
2025-08-26T20:26:44.6340667Z     Uninstalling nvidia-ml-py-11.525.84:
2025-08-26T20:26:44.6569178Z       Successfully uninstalled nvidia-ml-py-11.525.84
2025-08-26T20:26:44.7196452Z   Attempting uninstall: psutil
2025-08-26T20:26:44.7197287Z     Found existing installation: psutil 5.9.8
2025-08-26T20:26:44.7272444Z     Uninstalling psutil-5.9.8:
2025-08-26T20:26:44.7279261Z       Successfully uninstalled psutil-5.9.8
2025-08-26T20:26:44.8975504Z 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
2025-08-26T20:26:45.0095153Z + DEVICE_NAME=
2025-08-26T20:26:45.0095412Z + DEVICE_TYPE=
2025-08-26T20:26:45.0095667Z + command -v nvidia-smi
2025-08-26T20:26:45.0095938Z + command -v rocminfo
2025-08-26T20:26:45.0096200Z + echo DEVICE_NAME=
2025-08-26T20:26:45.0096436Z + echo DEVICE_TYPE=
2025-08-26T20:26:45.0128802Z ##[group]Run set -eux
2025-08-26T20:26:45.0129088Z set -eux
2025-08-26T20:26:45.0129326Z 
2025-08-26T20:26:45.0129563Z if [[ -z "${GITHUB_TOKEN}" ]]; then
2025-08-26T20:26:45.0129936Z   echo "Missing github-token input"
2025-08-26T20:26:45.0130270Z   exit 1
2025-08-26T20:26:45.0130653Z fi
2025-08-26T20:26:45.0141598Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:26:45.0141986Z env:
2025-08-26T20:26:45.0142221Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:26:45.0142703Z   DOCKER_CONTAINER_ID: 0369d32a889930d9332949b0eecd4b7e751a5ee52c28a36dccd55693e4575306
2025-08-26T20:26:45.0143217Z   DEVICE_NAME: 
2025-08-26T20:26:45.0143442Z   DEVICE_TYPE: 
2025-08-26T20:26:45.0143900Z   GITHUB_TOKEN: ***
2025-08-26T20:26:45.0144147Z ##[endgroup]
2025-08-26T20:26:45.0169786Z + [[ -z *** ]]
2025-08-26T20:26:45.0226719Z ##[group]Run pytorch/test-infra/.github/actions/get-workflow-job-id@main
2025-08-26T20:26:45.0227175Z with:
2025-08-26T20:26:45.0227572Z   github-token: ***
2025-08-26T20:26:45.0227813Z env:
2025-08-26T20:26:45.0228021Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:26:45.0228494Z   DOCKER_CONTAINER_ID: 0369d32a889930d9332949b0eecd4b7e751a5ee52c28a36dccd55693e4575306
2025-08-26T20:26:45.0229009Z   DEVICE_NAME: 
2025-08-26T20:26:45.0229241Z   DEVICE_TYPE: 
2025-08-26T20:26:45.0229483Z ##[endgroup]
2025-08-26T20:26:45.0253513Z ##[group]Run set -eux
2025-08-26T20:26:45.0253806Z set -eux
2025-08-26T20:26:45.0254045Z 
2025-08-26T20:26:45.0254532Z python3 "${GITHUB_ACTION_PATH}/../../scripts/get_workflow_job_id.py" "${GITHUB_RUN_ID}" "${RUNNER_NAME}"
2025-08-26T20:26:45.0260085Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:26:45.0260476Z env:
2025-08-26T20:26:45.0260706Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:26:45.0261208Z   DOCKER_CONTAINER_ID: 0369d32a889930d9332949b0eecd4b7e751a5ee52c28a36dccd55693e4575306
2025-08-26T20:26:45.0261709Z   DEVICE_NAME: 
2025-08-26T20:26:45.0261944Z   DEVICE_TYPE: 
2025-08-26T20:26:45.0262342Z   GITHUB_TOKEN: ***
2025-08-26T20:26:45.0262586Z ##[endgroup]
2025-08-26T20:26:45.0287876Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/get-workflow-job-id/../../scripts/get_workflow_job_id.py 17248463647 i-0e7f9fe0f083b3903
2025-08-26T20:26:46.0875728Z setting job-id=48946557718
2025-08-26T20:26:46.0876328Z setting job-name=verify-cachebench-cpu-test / test (verify_cachebench, 1, 1, linux.2xlarge)
2025-08-26T20:26:46.0994584Z ##[group]Run set -eux
2025-08-26T20:26:46.0994871Z set -eux
2025-08-26T20:26:46.0995102Z 
2025-08-26T20:26:46.0995505Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_metadata.py" \
2025-08-26T20:26:46.0996028Z   --schema-version "${SCHEMA_VERSION}" \
2025-08-26T20:26:46.0996385Z   --repo "${REPO}" \
2025-08-26T20:26:46.0996702Z   --head-branch "${HEAD_BRANCH}" \
2025-08-26T20:26:46.0997045Z   --head-sha "${HEAD_SHA}" \
2025-08-26T20:26:46.0997395Z   --workflow-id "${WORKFLOW_RUN_ID}" \
2025-08-26T20:26:46.0997750Z   --run-attempt "${RUN_ATTEMPT}" \
2025-08-26T20:26:46.0998086Z   --job-id "${JOB_ID}" \
2025-08-26T20:26:46.0998399Z   --job-name "${JOB_NAME}"
2025-08-26T20:26:46.1004488Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:26:46.1004883Z env:
2025-08-26T20:26:46.1005109Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:26:46.1005589Z   DOCKER_CONTAINER_ID: 0369d32a889930d9332949b0eecd4b7e751a5ee52c28a36dccd55693e4575306
2025-08-26T20:26:46.1006089Z   DEVICE_NAME: 
2025-08-26T20:26:46.1006322Z   DEVICE_TYPE: 
2025-08-26T20:26:46.1006560Z   SCHEMA_VERSION: v3
2025-08-26T20:26:46.1006819Z   REPO: pytorch/pytorch
2025-08-26T20:26:46.1007080Z   HEAD_BRANCH: refs/heads/main
2025-08-26T20:26:46.1007407Z   HEAD_SHA: 262640fd220236042fbf4443cc163c8838c84c3d
2025-08-26T20:26:46.1007768Z   WORKFLOW_RUN_ID: 17248463647
2025-08-26T20:26:46.1008048Z   RUN_ATTEMPT: 1
2025-08-26T20:26:46.1008270Z   JOB_ID: 48946557718
2025-08-26T20:26:46.1008714Z   JOB_NAME: verify-cachebench-cpu-test / test (verify_cachebench, 1, 1, linux.2xlarge)
2025-08-26T20:26:46.1009221Z ##[endgroup]
2025-08-26T20:26:46.1040772Z + 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 262640fd220236042fbf4443cc163c8838c84c3d --workflow-id 17248463647 --run-attempt 1 --job-id 48946557718 --job-name 'verify-cachebench-cpu-test / test (verify_cachebench, 1, 1, linux.2xlarge)'
2025-08-26T20:26:46.1361114Z ##[group]Run set -eux
2025-08-26T20:26:46.1361389Z set -eux
2025-08-26T20:26:46.1361620Z 
2025-08-26T20:26:46.1362009Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_runners_info.py"
2025-08-26T20:26:46.1367798Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:26:46.1368204Z env:
2025-08-26T20:26:46.1368432Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:26:46.1368907Z   DOCKER_CONTAINER_ID: 0369d32a889930d9332949b0eecd4b7e751a5ee52c28a36dccd55693e4575306
2025-08-26T20:26:46.1369414Z   DEVICE_NAME: 
2025-08-26T20:26:46.1369649Z   DEVICE_TYPE: 
2025-08-26T20:26:46.1369903Z ##[endgroup]
2025-08-26T20:26:46.1398683Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_runners_info.py
2025-08-26T20:26:46.1807754Z INFO:root:Fail to import torch to get the device name
2025-08-26T20:26:46.1918173Z ##[group]Run set -eux
2025-08-26T20:26:46.1918456Z set -eux
2025-08-26T20:26:46.1918693Z 
2025-08-26T20:26:46.1918941Z # TODO (huydhn): Implement this part
2025-08-26T20:26:46.1919352Z echo "dependencies={}" >> "${GITHUB_OUTPUT}"
2025-08-26T20:26:46.1925134Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:26:46.1925545Z env:
2025-08-26T20:26:46.1925774Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:26:46.1926233Z   DOCKER_CONTAINER_ID: 0369d32a889930d9332949b0eecd4b7e751a5ee52c28a36dccd55693e4575306
2025-08-26T20:26:46.1926749Z   DEVICE_NAME: 
2025-08-26T20:26:46.1926982Z   DEVICE_TYPE: 
2025-08-26T20:26:46.1927398Z ##[endgroup]
2025-08-26T20:26:46.1951127Z + echo 'dependencies={}'
2025-08-26T20:26:46.1988623Z ##[group]Run set -eux
2025-08-26T20:26:46.1989077Z set -eux
2025-08-26T20:26:46.1989448Z 
2025-08-26T20:26:46.1989894Z if [[ ! -d "${BENCHMARK_RESULTS_DIR}" ]]; then
2025-08-26T20:26:46.1990655Z   echo "${BENCHMARK_RESULTS_DIR} does not exist, skipping"
2025-08-26T20:26:46.1991491Z   # We don't want the job to fail if the directory doesn't exist
2025-08-26T20:26:46.1992154Z   exit 0
2025-08-26T20:26:46.1992547Z fi
2025-08-26T20:26:46.1992909Z 
2025-08-26T20:26:46.1993290Z if [[ "${DRY_RUN}" == "true" ]]; then
2025-08-26T20:26:46.1994115Z   python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \
2025-08-26T20:26:46.1995130Z     --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \
2025-08-26T20:26:46.1995888Z     --metadata "${BENCHMARK_METADATA}" \
2025-08-26T20:26:46.1996567Z     --runners "${RUNNER_INFO}" \
2025-08-26T20:26:46.1997169Z     --dependencies "${DEPENDENCIES}" \
2025-08-26T20:26:46.1997734Z     --dry-run
2025-08-26T20:26:46.1998174Z else
2025-08-26T20:26:46.1998832Z   python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \
2025-08-26T20:26:46.1999805Z     --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \
2025-08-26T20:26:46.2000560Z     --metadata "${BENCHMARK_METADATA}" \
2025-08-26T20:26:46.2001206Z     --runners "${RUNNER_INFO}" \
2025-08-26T20:26:46.2001852Z     --dependencies "${DEPENDENCIES}"
2025-08-26T20:26:46.2002465Z fi
2025-08-26T20:26:46.2010384Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:26:46.2011049Z env:
2025-08-26T20:26:46.2011438Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:26:46.2012294Z   DOCKER_CONTAINER_ID: 0369d32a889930d9332949b0eecd4b7e751a5ee52c28a36dccd55693e4575306
2025-08-26T20:26:46.2013442Z   DEVICE_NAME: 
2025-08-26T20:26:46.2013846Z   DEVICE_TYPE: 
2025-08-26T20:26:46.2014309Z   BENCHMARK_RESULTS_DIR: test/test-reports
2025-08-26T20:26:46.2014891Z   DRY_RUN: false
2025-08-26T20:26:46.2017468Z   BENCHMARK_METADATA: {"timestamp": 1756240006, "schema_version": "v3", "name": "verify-cachebench-cpu-test / test (verify_cachebench, 1, 1, linux.2xlarge)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "262640fd220236042fbf4443cc163c8838c84c3d", "workflow_id": 17248463647, "run_attempt": 1, "job_id": 48946557718}
2025-08-26T20:26:46.2020851Z   RUNNER_INFO: [{"cpu_info": "x86_64", "cpu_count": 8, "avail_mem_in_gb": 15, "extra_info": {"hostname": "ip-10-0-49-28.ec2.internal"}, "name": "", "type": ""}]
2025-08-26T20:26:46.2022077Z   DEPENDENCIES: {}
2025-08-26T20:26:46.2022492Z ##[endgroup]
2025-08-26T20:26:46.2052660Z + [[ ! -d test/test-reports ]]
2025-08-26T20:26:46.2053305Z test/test-reports does not exist, skipping
2025-08-26T20:26:46.2053975Z + echo 'test/test-reports does not exist, skipping'
2025-08-26T20:26:46.2054318Z + exit 0
2025-08-26T20:26:46.2090219Z ##[group]Run cat test/**/*_toprint.log || true
2025-08-26T20:26:46.2090619Z cat test/**/*_toprint.log || true
2025-08-26T20:26:46.2095824Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:26:46.2096228Z env:
2025-08-26T20:26:46.2096443Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:26:46.2096922Z   DOCKER_CONTAINER_ID: 0369d32a889930d9332949b0eecd4b7e751a5ee52c28a36dccd55693e4575306
2025-08-26T20:26:46.2097437Z   DEVICE_NAME: 
2025-08-26T20:26:46.2097672Z   DEVICE_TYPE: 
2025-08-26T20:26:46.2097890Z ##[endgroup]
2025-08-26T20:26:46.2179511Z cat: 'test/**/*_toprint.log': No such file or directory
2025-08-26T20:26:46.2214770Z ##[group]Run kill "$MONITOR_SCRIPT_PID"
2025-08-26T20:26:46.2215137Z kill "$MONITOR_SCRIPT_PID"
2025-08-26T20:26:46.2220251Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:26:46.2220644Z env:
2025-08-26T20:26:46.2220880Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:26:46.2221353Z   DOCKER_CONTAINER_ID: 0369d32a889930d9332949b0eecd4b7e751a5ee52c28a36dccd55693e4575306
2025-08-26T20:26:46.2221865Z   DEVICE_NAME: 
2025-08-26T20:26:46.2222085Z   DEVICE_TYPE: 
2025-08-26T20:26:46.2222335Z   MONITOR_SCRIPT_PID: 43536
2025-08-26T20:26:46.2222615Z ##[endgroup]
2025-08-26T20:26:46.2386781Z Prepare all required actions
2025-08-26T20:26:46.2387299Z Getting action download info
2025-08-26T20:26:46.4210047Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a)
2025-08-26T20:26:46.6592302Z Download action repository 'actions/upload-artifact@v4' (SHA:ea165f8d65b6e75b540449e92b4886f43607fa02)
2025-08-26T20:26:47.0861438Z ##[group]Run ./.github/actions/upload-test-artifacts
2025-08-26T20:26:47.0861813Z with:
2025-08-26T20:26:47.0862155Z   file-suffix: test-verify_cachebench-1-1-linux.2xlarge_48946557718
2025-08-26T20:26:47.0862593Z   s3-bucket: gha-artifacts
2025-08-26T20:26:47.0862868Z env:
2025-08-26T20:26:47.0863087Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:26:47.0863557Z   DOCKER_CONTAINER_ID: 0369d32a889930d9332949b0eecd4b7e751a5ee52c28a36dccd55693e4575306
2025-08-26T20:26:47.0864064Z   DEVICE_NAME: 
2025-08-26T20:26:47.0864280Z   DEVICE_TYPE: 
2025-08-26T20:26:47.0864508Z ##[endgroup]
2025-08-26T20:26:47.0891427Z ##[group]Run # Remove any previous test jsons if they exist
2025-08-26T20:26:47.0891911Z # Remove any previous test jsons if they exist
2025-08-26T20:26:47.0892285Z rm -f test-jsons-*.zip
2025-08-26T20:26:47.0892724Z zip -r "test-jsons-${FILE_SUFFIX}.zip" test/test-reports -i '*.json'
2025-08-26T20:26:47.0898580Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:26:47.0898973Z env:
2025-08-26T20:26:47.0899195Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:26:47.0899670Z   DOCKER_CONTAINER_ID: 0369d32a889930d9332949b0eecd4b7e751a5ee52c28a36dccd55693e4575306
2025-08-26T20:26:47.0900179Z   DEVICE_NAME: 
2025-08-26T20:26:47.0900567Z   DEVICE_TYPE: 
2025-08-26T20:26:47.0900914Z   FILE_SUFFIX: test-verify_cachebench-1-1-linux.2xlarge_48946557718
2025-08-26T20:26:47.0901320Z ##[endgroup]
2025-08-26T20:26:47.1025401Z 	zip warning: name not matched: test/test-reports
2025-08-26T20:26:47.1026191Z 	zip warning: zip file empty
2025-08-26T20:26:47.1053045Z ##[group]Run # Remove any previous test reports if they exist
2025-08-26T20:26:47.1053546Z # Remove any previous test reports if they exist
2025-08-26T20:26:47.1053939Z rm -f test-reports-*.zip
2025-08-26T20:26:47.1054438Z zip -r "test-reports-${FILE_SUFFIX}.zip" test/test-reports -i '*.xml' -i '*.csv'
2025-08-26T20:26:47.1059947Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:26:47.1060351Z env:
2025-08-26T20:26:47.1060576Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:26:47.1061038Z   DOCKER_CONTAINER_ID: 0369d32a889930d9332949b0eecd4b7e751a5ee52c28a36dccd55693e4575306
2025-08-26T20:26:47.1061552Z   DEVICE_NAME: 
2025-08-26T20:26:47.1061796Z   DEVICE_TYPE: 
2025-08-26T20:26:47.1062146Z   FILE_SUFFIX: test-verify_cachebench-1-1-linux.2xlarge_48946557718
2025-08-26T20:26:47.1062555Z ##[endgroup]
2025-08-26T20:26:47.1131995Z 	zip warning: name not matched: test/test-reports
2025-08-26T20:26:47.1132771Z 	zip warning: zip file empty
2025-08-26T20:26:47.1158410Z ##[group]Run # Remove any previous usage logs if they exist
2025-08-26T20:26:47.1158891Z # Remove any previous usage logs if they exist
2025-08-26T20:26:47.1159265Z rm -f logs-*.zip
2025-08-26T20:26:47.1159630Z zip "logs-${FILE_SUFFIX}.zip" 'usage_log.txt' || true
2025-08-26T20:26:47.1160162Z zip -r "logs-${FILE_SUFFIX}.zip" test/test-reports -i '*.log' || true
2025-08-26T20:26:47.1165727Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:26:47.1166128Z env:
2025-08-26T20:26:47.1166340Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:26:47.1166812Z   DOCKER_CONTAINER_ID: 0369d32a889930d9332949b0eecd4b7e751a5ee52c28a36dccd55693e4575306
2025-08-26T20:26:47.1167336Z   DEVICE_NAME: 
2025-08-26T20:26:47.1167567Z   DEVICE_TYPE: 
2025-08-26T20:26:47.1167905Z   FILE_SUFFIX: test-verify_cachebench-1-1-linux.2xlarge_48946557718
2025-08-26T20:26:47.1168331Z ##[endgroup]
2025-08-26T20:26:47.1218108Z   adding: usage_log.txt (deflated 94%)
2025-08-26T20:26:47.1227832Z 	zip warning: name not matched: test/test-reports
2025-08-26T20:26:47.1228106Z 
2025-08-26T20:26:47.1230825Z zip error: Nothing to do! (logs-test-verify_cachebench-1-1-linux.2xlarge_48946557718.zip)
2025-08-26T20:26:47.1275132Z ##[group]Run # Remove any previous debugging artifacts if they exist
2025-08-26T20:26:47.1275684Z # Remove any previous debugging artifacts if they exist
2025-08-26T20:26:47.1276103Z rm -f debug-*.zip
2025-08-26T20:26:47.1276413Z if [ -d 'test/debug' ]; then
2025-08-26T20:26:47.1276793Z   zip -r "debug-${FILE_SUFFIX}.zip" test/debug
2025-08-26T20:26:47.1277188Z fi
2025-08-26T20:26:47.1282500Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:26:47.1282910Z env:
2025-08-26T20:26:47.1283140Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:26:47.1283624Z   DOCKER_CONTAINER_ID: 0369d32a889930d9332949b0eecd4b7e751a5ee52c28a36dccd55693e4575306
2025-08-26T20:26:47.1284146Z   DEVICE_NAME: 
2025-08-26T20:26:47.1284412Z   DEVICE_TYPE: 
2025-08-26T20:26:47.1284912Z   FILE_SUFFIX: test-verify_cachebench-1-1-linux.2xlarge_48946557718
2025-08-26T20:26:47.1285345Z ##[endgroup]
2025-08-26T20:26:47.1417924Z ##[group]Run seemethere/upload-artifact-s3@v5
2025-08-26T20:26:47.1418278Z with:
2025-08-26T20:26:47.1418490Z   s3-bucket: gha-artifacts
2025-08-26T20:26:47.1418827Z   s3-prefix: pytorch/pytorch/17248463647/1/artifact

2025-08-26T20:26:47.1419194Z   retention-days: 14
2025-08-26T20:26:47.1419458Z   if-no-files-found: warn
2025-08-26T20:26:47.1419723Z   path: test-jsons-*.zip
2025-08-26T20:26:47.1419984Z   name: artifact
2025-08-26T20:26:47.1420217Z   region: us-east-1
2025-08-26T20:26:47.1420597Z env:
2025-08-26T20:26:47.1420805Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:26:47.1421277Z   DOCKER_CONTAINER_ID: 0369d32a889930d9332949b0eecd4b7e751a5ee52c28a36dccd55693e4575306
2025-08-26T20:26:47.1421790Z   DEVICE_NAME: 
2025-08-26T20:26:47.1422022Z   DEVICE_TYPE: 
2025-08-26T20:26:47.1422240Z ##[endgroup]
2025-08-26T20:26:47.5040391Z NOTE: s3-prefix specified, ignoring name parameter
2025-08-26T20:26:47.5041197Z With the provided path, there will be 1 file uploaded
2025-08-26T20:26:47.5041871Z Uploading to s3 prefix: pytorch/pytorch/17248463647/1/artifact
2025-08-26T20:26:47.5090764Z Starting upload of test-jsons-test-verify_cachebench-1-1-linux.2xlarge_48946557718.zip
2025-08-26T20:26:47.6266802Z Finished upload of test-jsons-test-verify_cachebench-1-1-linux.2xlarge_48946557718.zip
2025-08-26T20:26:47.6456238Z ##[group]Run seemethere/upload-artifact-s3@v5
2025-08-26T20:26:47.6456596Z with:
2025-08-26T20:26:47.6456815Z   s3-bucket: gha-artifacts
2025-08-26T20:26:47.6457151Z   s3-prefix: pytorch/pytorch/17248463647/1/artifact

2025-08-26T20:26:47.6457534Z   retention-days: 14
2025-08-26T20:26:47.6457799Z   if-no-files-found: error
2025-08-26T20:26:47.6458074Z   path: test-reports-*.zip
2025-08-26T20:26:47.6458351Z   name: artifact
2025-08-26T20:26:47.6458593Z   region: us-east-1
2025-08-26T20:26:47.6458821Z env:
2025-08-26T20:26:47.6459053Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:26:47.6459530Z   DOCKER_CONTAINER_ID: 0369d32a889930d9332949b0eecd4b7e751a5ee52c28a36dccd55693e4575306
2025-08-26T20:26:47.6460053Z   DEVICE_NAME: 
2025-08-26T20:26:47.6460282Z   DEVICE_TYPE: 
2025-08-26T20:26:47.6460493Z ##[endgroup]
2025-08-26T20:26:47.9698946Z NOTE: s3-prefix specified, ignoring name parameter
2025-08-26T20:26:47.9699452Z With the provided path, there will be 1 file uploaded
2025-08-26T20:26:47.9699930Z Uploading to s3 prefix: pytorch/pytorch/17248463647/1/artifact
2025-08-26T20:26:47.9746410Z Starting upload of test-reports-test-verify_cachebench-1-1-linux.2xlarge_48946557718.zip
2025-08-26T20:26:48.1121925Z Finished upload of test-reports-test-verify_cachebench-1-1-linux.2xlarge_48946557718.zip
2025-08-26T20:26:48.1313416Z ##[group]Run seemethere/upload-artifact-s3@v5
2025-08-26T20:26:48.1313777Z with:
2025-08-26T20:26:48.1313997Z   s3-bucket: gha-artifacts
2025-08-26T20:26:48.1314340Z   s3-prefix: pytorch/pytorch/17248463647/1/artifact

2025-08-26T20:26:48.1314887Z   retention-days: 14
2025-08-26T20:26:48.1315157Z   if-no-files-found: ignore
2025-08-26T20:26:48.1315426Z   path: logs-*.zip
2025-08-26T20:26:48.1315674Z   name: artifact
2025-08-26T20:26:48.1315915Z   region: us-east-1
2025-08-26T20:26:48.1316158Z env:
2025-08-26T20:26:48.1316364Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:26:48.1316844Z   DOCKER_CONTAINER_ID: 0369d32a889930d9332949b0eecd4b7e751a5ee52c28a36dccd55693e4575306
2025-08-26T20:26:48.1317358Z   DEVICE_NAME: 
2025-08-26T20:26:48.1317591Z   DEVICE_TYPE: 
2025-08-26T20:26:48.1317807Z ##[endgroup]
2025-08-26T20:26:48.5446473Z NOTE: s3-prefix specified, ignoring name parameter
2025-08-26T20:26:48.5447350Z With the provided path, there will be 1 file uploaded
2025-08-26T20:26:48.5447820Z Uploading to s3 prefix: pytorch/pytorch/17248463647/1/artifact
2025-08-26T20:26:48.5493932Z Starting upload of logs-test-verify_cachebench-1-1-linux.2xlarge_48946557718.zip
2025-08-26T20:26:48.6690759Z Finished upload of logs-test-verify_cachebench-1-1-linux.2xlarge_48946557718.zip
2025-08-26T20:26:48.6883847Z ##[group]Run seemethere/upload-artifact-s3@v5
2025-08-26T20:26:48.6884208Z with:
2025-08-26T20:26:48.6884434Z   s3-bucket: gha-artifacts
2025-08-26T20:26:48.6884772Z   s3-prefix: pytorch/pytorch/17248463647/1/artifact

2025-08-26T20:26:48.6885141Z   retention-days: 14
2025-08-26T20:26:48.6885406Z   if-no-files-found: ignore
2025-08-26T20:26:48.6885676Z   path: debug-*.zip
2025-08-26T20:26:48.6885917Z   name: artifact
2025-08-26T20:26:48.6886154Z   region: us-east-1
2025-08-26T20:26:48.6886379Z env:
2025-08-26T20:26:48.6886597Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:26:48.6887074Z   DOCKER_CONTAINER_ID: 0369d32a889930d9332949b0eecd4b7e751a5ee52c28a36dccd55693e4575306
2025-08-26T20:26:48.6887758Z   DEVICE_NAME: 
2025-08-26T20:26:48.6887995Z   DEVICE_TYPE: 
2025-08-26T20:26:48.6888212Z ##[endgroup]
2025-08-26T20:26:49.0081673Z No files were found with the provided path: debug-*.zip. No artifacts will be uploaded.
2025-08-26T20:26:49.0280525Z ##[group]Run # shellcheck disable=SC2156
2025-08-26T20:26:49.0280942Z # shellcheck disable=SC2156
2025-08-26T20:26:49.0281547Z find . -iname "core.[1-9]*" -exec docker exec "${DOCKER_CONTAINER_ID}" sh -c "gdb python {} -ex 'bt' -ex 'q'" \;
2025-08-26T20:26:49.0289245Z shell: /usr/bin/bash -e {0}
2025-08-26T20:26:49.0289536Z env:
2025-08-26T20:26:49.0289765Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:26:49.0290244Z   DOCKER_CONTAINER_ID: 0369d32a889930d9332949b0eecd4b7e751a5ee52c28a36dccd55693e4575306
2025-08-26T20:26:49.0290751Z   DEVICE_NAME: 
2025-08-26T20:26:49.0290987Z   DEVICE_TYPE: 
2025-08-26T20:26:49.0291222Z ##[endgroup]
2025-08-26T20:26:49.3378991Z Prepare all required actions
2025-08-26T20:26:49.3379423Z Getting action download info
2025-08-26T20:26:49.4677634Z ##[group]Run ./.github/actions/upload-utilization-stats
2025-08-26T20:26:49.4678009Z with:
2025-08-26T20:26:49.4678227Z   job_id: 48946557718
2025-08-26T20:26:49.4678670Z   job_name: verify-cachebench-cpu-test / test (verify_cachebench, 1, 1, linux.2xlarge)
2025-08-26T20:26:49.4679181Z   workflow_name: trunk
2025-08-26T20:26:49.4679433Z   workflow_run_id: 17248463647
2025-08-26T20:26:49.4679720Z   workflow_attempt: 1
2025-08-26T20:26:49.4679967Z env:
2025-08-26T20:26:49.4680186Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:26:49.4680642Z   DOCKER_CONTAINER_ID: 0369d32a889930d9332949b0eecd4b7e751a5ee52c28a36dccd55693e4575306
2025-08-26T20:26:49.4681148Z   DEVICE_NAME: 
2025-08-26T20:26:49.4681380Z   DEVICE_TYPE: 
2025-08-26T20:26:49.4681611Z ##[endgroup]
2025-08-26T20:26:49.4705248Z ##[group]Run echo "workflow_id: 17248463647"
2025-08-26T20:26:49.4705800Z echo "workflow_id: 17248463647"
2025-08-26T20:26:49.4706160Z echo "workflow_attempt: 1"
2025-08-26T20:26:49.4706478Z echo "workflow_Name: trunk"
2025-08-26T20:26:49.4706801Z echo "job_id: 48946557718"
2025-08-26T20:26:49.4707355Z echo "job_name:  verify-cachebench-cpu-test / test (verify_cachebench, 1, 1, linux.2xlarge)"
2025-08-26T20:26:49.4707942Z echo "artifact_prefix: "
2025-08-26T20:26:49.4708251Z python3 --version
2025-08-26T20:26:49.4714731Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:26:49.4731611Z env:
2025-08-26T20:26:49.4731843Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:26:49.4732323Z   DOCKER_CONTAINER_ID: 0369d32a889930d9332949b0eecd4b7e751a5ee52c28a36dccd55693e4575306
2025-08-26T20:26:49.4732982Z   DEVICE_NAME: 
2025-08-26T20:26:49.4733341Z   DEVICE_TYPE: 
2025-08-26T20:26:49.4733713Z ##[endgroup]
2025-08-26T20:26:49.4759462Z workflow_id: 17248463647
2025-08-26T20:26:49.4759785Z workflow_attempt: 1
2025-08-26T20:26:49.4760051Z workflow_Name: trunk
2025-08-26T20:26:49.4760320Z job_id: 48946557718
2025-08-26T20:26:49.4760762Z job_name:  verify-cachebench-cpu-test / test (verify_cachebench, 1, 1, linux.2xlarge)
2025-08-26T20:26:49.4761279Z artifact_prefix: 
2025-08-26T20:26:49.4772275Z Python 3.9.23
2025-08-26T20:26:49.4817110Z ##[group]Run nick-fields/retry@v3.0.0
2025-08-26T20:26:49.4817418Z with:
2025-08-26T20:26:49.4817634Z   shell: bash
2025-08-26T20:26:49.4817869Z   timeout_minutes: 5
2025-08-26T20:26:49.4818126Z   max_attempts: 5
2025-08-26T20:26:49.4818363Z   retry_wait_seconds: 30
2025-08-26T20:26:49.4818934Z   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

2025-08-26T20:26:49.4819556Z   polling_interval_seconds: 1
2025-08-26T20:26:49.4819850Z   warning_on_retry: true
2025-08-26T20:26:49.4820122Z   continue_on_error: false
2025-08-26T20:26:49.4820372Z env:
2025-08-26T20:26:49.4820592Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:26:49.4821074Z   DOCKER_CONTAINER_ID: 0369d32a889930d9332949b0eecd4b7e751a5ee52c28a36dccd55693e4575306
2025-08-26T20:26:49.4821737Z   DEVICE_NAME: 
2025-08-26T20:26:49.4821956Z   DEVICE_TYPE: 
2025-08-26T20:26:49.4822185Z ##[endgroup]
2025-08-26T20:26:49.8154773Z Defaulting to user installation because normal site-packages is not writeable
2025-08-26T20:26:49.8902996Z Collecting python-dateutil==2.8.2
2025-08-26T20:26:49.9052386Z   Downloading python_dateutil-2.8.2-py2.py3-none-any.whl (247 kB)
2025-08-26T20:26:50.8937348Z Collecting boto3==1.35.42
2025-08-26T20:26:50.8972677Z   Downloading boto3-1.35.42-py3-none-any.whl (139 kB)
2025-08-26T20:26:51.4214346Z Collecting pandas==2.1.3
2025-08-26T20:26:51.4249916Z   Downloading pandas-2.1.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (12.3 MB)
2025-08-26T20:26:51.5588792Z Requirement already satisfied: dataclasses_json==0.6.7 in /home/ec2-user/.local/lib/python3.9/site-packages (0.6.7)
2025-08-26T20:26:51.5608619Z Requirement already satisfied: six>=1.5 in /usr/lib/python3.9/site-packages (from python-dateutil==2.8.2) (1.15.0)
2025-08-26T20:26:51.5655891Z 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)
2025-08-26T20:26:51.5662584Z 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)
2025-08-26T20:26:51.5668214Z 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)
2025-08-26T20:26:51.6589871Z Collecting tzdata>=2022.1
2025-08-26T20:26:51.6623888Z   Downloading tzdata-2025.2-py2.py3-none-any.whl (347 kB)
2025-08-26T20:26:52.5015378Z Collecting numpy<2,>=1.22.4
2025-08-26T20:26:52.5057024Z   Downloading numpy-1.26.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (18.2 MB)
2025-08-26T20:26:52.7009795Z Requirement already satisfied: pytz>=2020.1 in /usr/lib/python3.9/site-packages (from pandas==2.1.3) (2022.7.1)
2025-08-26T20:26:52.7044912Z 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)
2025-08-26T20:26:52.7050824Z 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)
2025-08-26T20:26:52.7153804Z 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)
2025-08-26T20:26:52.7245140Z 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)
2025-08-26T20:26:52.7351294Z 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)
2025-08-26T20:26:52.7356996Z Requirement already satisfied: typing-extensions>=3.7.4 in /home/ec2-user/.local/lib/python3.9/site-packages (from typing-inspect<1,>=0.4.0->dataclasses_json==0.6.7) (4.15.0)
2025-08-26T20:26:52.9340998Z Installing collected packages: python-dateutil, tzdata, numpy, pandas, boto3
2025-08-26T20:26:57.9438061Z   Attempting uninstall: boto3
2025-08-26T20:26:57.9438519Z     Found existing installation: boto3 1.35.33
2025-08-26T20:26:57.9536790Z     Uninstalling boto3-1.35.33:
2025-08-26T20:26:57.9550721Z       Successfully uninstalled boto3-1.35.33
2025-08-26T20:26:58.0113331Z Successfully installed boto3-1.35.42 numpy-1.26.4 pandas-2.1.3 python-dateutil-2.8.2 tzdata-2025.2
2025-08-26T20:26:58.5656030Z Command completed after 1 attempt(s).
2025-08-26T20:26:58.5714172Z ##[group]Run python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \
2025-08-26T20:26:58.5714931Z python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \
2025-08-26T20:26:58.5715455Z   --workflow-run-id "17248463647" \
2025-08-26T20:26:58.5715831Z   --workflow-name "trunk" \
2025-08-26T20:26:58.5716330Z   --workflow-run-attempt "1" \
2025-08-26T20:26:58.5716669Z   --job-id "48946557718" \
2025-08-26T20:26:58.5717213Z   --job-name "verify-cachebench-cpu-test / test (verify_cachebench, 1, 1, linux.2xlarge)" \
2025-08-26T20:26:58.5717769Z   --local-path "" \
2025-08-26T20:26:58.5718070Z   --artifact-prefix ""
2025-08-26T20:26:58.5723879Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:26:58.5724280Z env:
2025-08-26T20:26:58.5724497Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:26:58.5724972Z   DOCKER_CONTAINER_ID: 0369d32a889930d9332949b0eecd4b7e751a5ee52c28a36dccd55693e4575306
2025-08-26T20:26:58.5725487Z   DEVICE_NAME: 
2025-08-26T20:26:58.5725719Z   DEVICE_TYPE: 
2025-08-26T20:26:58.5725938Z ##[endgroup]
2025-08-26T20:26:59.5599180Z repo: pytorch/pytorch
2025-08-26T20:26:59.5599761Z Search for test log in s3 bucket: ossci-utilization
2025-08-26T20:26:59.5600629Z Downloading logs-test-verify_cachebench-1-1-linux.2xlarge_48946557718.zip
2025-08-26T20:26:59.5601384Z extracting usage_log.txt from zip file logs-test-verify_cachebench-1-1-linux.2xlarge_48946557718.zip
2025-08-26T20:26:59.5602001Z Converted Log Model: UtilizationMetadata:
2025-08-26T20:26:59.5603428Z  UtilizationMetadata(level='metadata', workflow_id='17248463647', job_id='48946557718', workflow_name='trunk', job_name='verify-cachebench-cpu-test / test (verify_cachebench, 1, 1, linux.2xlarge)', usage_collect_interval=1.0, data_model_version=1.5, start_at=1756239682, gpu_count=0, cpu_count=8, gpu_type=None, error=None)
2025-08-26T20:26:59.5604939Z [Db Segments] detected pytest cmd: 12, generated segments: 12
2025-08-26T20:26:59.5605361Z [db model] Peek db timeseries 
2025-08-26T20:26:59.5605641Z :{
2025-08-26T20:26:59.5605852Z     "created_at": 1756240019,
2025-08-26T20:26:59.5606127Z     "type": "utilization",
2025-08-26T20:26:59.5606391Z     "tags": [
2025-08-26T20:26:59.5606610Z         "record"
2025-08-26T20:26:59.5606826Z     ],
2025-08-26T20:26:59.5607046Z     "time_stamp": 1756239682,
2025-08-26T20:26:59.5607335Z     "repo": "pytorch/pytorch",
2025-08-26T20:26:59.5607623Z     "workflow_id": 17248463647,
2025-08-26T20:26:59.5607891Z     "run_attempt": 1,
2025-08-26T20:26:59.5608141Z     "job_id": 48946557718,
2025-08-26T20:26:59.5608409Z     "workflow_name": "trunk",
2025-08-26T20:26:59.5608895Z     "job_name": "verify-cachebench-cpu-test / test (verify_cachebench, 1, 1, linux.2xlarge)",
2025-08-26T20:26:59.5609400Z     "json_data": "{}"
2025-08-26T20:26:59.5609639Z }
2025-08-26T20:26:59.5610154Z Writing 1 documents to S3 ossci-utilization/util_metadata/v_1.5/pytorch/pytorch/17248463647/1/48946557718/metadata
2025-08-26T20:26:59.5611123Z Done! Finish writing document to S3 ossci-utilization/util_metadata/v_1.5/pytorch/pytorch/17248463647/1/48946557718/metadata 
2025-08-26T20:26:59.5612124Z Writing 60 documents to S3 ossci-utilization/util_timeseries/v_1.5/pytorch/pytorch/17248463647/1/48946557718/time_series
2025-08-26T20:26:59.5613134Z Done! Finish writing document to S3 ossci-utilization/util_timeseries/v_1.5/pytorch/pytorch/17248463647/1/48946557718/time_series 
2025-08-26T20:26:59.6679387Z ##[group]Run pytorch/test-infra/.github/actions/teardown-linux@main
2025-08-26T20:26:59.6679846Z with:
2025-08-26T20:26:59.6680062Z env:
2025-08-26T20:26:59.6680288Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:26:59.6680755Z   DOCKER_CONTAINER_ID: 0369d32a889930d9332949b0eecd4b7e751a5ee52c28a36dccd55693e4575306
2025-08-26T20:26:59.6681263Z   DEVICE_NAME: 
2025-08-26T20:26:59.6681494Z   DEVICE_TYPE: 
2025-08-26T20:26:59.6681719Z ##[endgroup]
2025-08-26T20:26:59.6706135Z ##[group]Run set -eou pipefail
2025-08-26T20:26:59.6706473Z set -eou pipefail
2025-08-26T20:26:59.6706753Z 
2025-08-26T20:26:59.6707134Z echo "Holding runner for 2 hours until all ssh sessions have logged out"
2025-08-26T20:26:59.6707609Z for _ in $(seq 1440); do
2025-08-26T20:26:59.6707953Z     # Break if no ssh session exists anymore
2025-08-26T20:26:59.6708464Z     if [ "$(who)" = "" ]; then
2025-08-26T20:26:59.6708775Z       break
2025-08-26T20:26:59.6709058Z     fi
2025-08-26T20:26:59.6709291Z     echo "."
2025-08-26T20:26:59.6709529Z     sleep 5
2025-08-26T20:26:59.6709771Z done
2025-08-26T20:26:59.6715954Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:26:59.6716351Z env:
2025-08-26T20:26:59.6716562Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:26:59.6717041Z   DOCKER_CONTAINER_ID: 0369d32a889930d9332949b0eecd4b7e751a5ee52c28a36dccd55693e4575306
2025-08-26T20:26:59.6717559Z   DEVICE_NAME: 
2025-08-26T20:26:59.6717789Z   DEVICE_TYPE: 
2025-08-26T20:26:59.6718005Z ##[endgroup]
2025-08-26T20:26:59.6741957Z Holding runner for 2 hours until all ssh sessions have logged out
2025-08-26T20:26:59.6822786Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty
2025-08-26T20:26:59.6823501Z # ignore expansion of "docker ps -q" since it could be empty
2025-08-26T20:26:59.6823971Z # shellcheck disable=SC2046
2025-08-26T20:26:59.6824347Z docker stop $(docker ps -q) || true
2025-08-26T20:26:59.6824698Z # Prune all of the docker images
2025-08-26T20:26:59.6825125Z docker system prune -af
2025-08-26T20:26:59.6830634Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:26:59.6831037Z env:
2025-08-26T20:26:59.6831252Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:26:59.6831732Z   DOCKER_CONTAINER_ID: 0369d32a889930d9332949b0eecd4b7e751a5ee52c28a36dccd55693e4575306
2025-08-26T20:26:59.6832247Z   DEVICE_NAME: 
2025-08-26T20:26:59.6832486Z   DEVICE_TYPE: 
2025-08-26T20:26:59.6832717Z ##[endgroup]
2025-08-26T20:27:10.9739650Z 0369d32a8899
2025-08-26T20:27:11.3447344Z Deleted Containers:
2025-08-26T20:27:11.3447771Z 0369d32a889930d9332949b0eecd4b7e751a5ee52c28a36dccd55693e4575306
2025-08-26T20:27:11.3448107Z 
2025-08-26T20:27:25.9687159Z Deleted Images:
2025-08-26T20:27:25.9688268Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6
2025-08-26T20:27:25.9689886Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image@sha256:acbbd4ce4ca5911beba428e48e3c25069f341e6f142804bf943d333ccc654c8c
2025-08-26T20:27:25.9690954Z deleted: sha256:932da535a977ab0b0008738bb22f52295068c34f7c3dedec486c588f4545c297
2025-08-26T20:27:25.9691734Z deleted: sha256:3156ea3f68016dfccfe2a536aa882b62a00395a6ca49b2ba301d13e44abb83fb
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2025-08-26T20:27:25.9693169Z deleted: sha256:daacbcb681fd57619606aab266f3ef2ef8e95a94bc72b5bc883eb754da198dd0
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2025-08-26T20:27:25.9883435Z Post job cleanup.
2025-08-26T20:27:25.9949702Z Post job cleanup.
2025-08-26T20:27:26.0968970Z [command]/usr/bin/git version
2025-08-26T20:27:26.1008636Z git version 2.47.1
2025-08-26T20:27:26.1057287Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/4de57424-bdae-44bb-970f-0c2e28d11dcc/.gitconfig'
2025-08-26T20:27:26.1058624Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/4de57424-bdae-44bb-970f-0c2e28d11dcc' before making global git config changes
2025-08-26T20:27:26.1059597Z Adding repository directory to the temporary git global config as a safe directory
2025-08-26T20:27:26.1060403Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-08-26T20:27:26.1103654Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
2025-08-26T20:27:26.1141480Z [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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2025-08-26T20:27:26.6099244Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
2025-08-26T20:27:26.6119747Z http.https://github.com/.extraheader
2025-08-26T20:27:26.6129212Z [command]/usr/bin/git config --local --unset-all http.https://github.com/.extraheader
2025-08-26T20:27:26.6159837Z [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' || :"
2025-08-26T20:27:26.6463072Z Entering 'android/libs/fbjni'
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2025-08-26T20:27:26.8630812Z http.https://github.com/.extraheader
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2025-08-26T20:27:26.8705623Z http.https://github.com/.extraheader
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2025-08-26T20:27:26.8921318Z http.https://github.com/.extraheader
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2025-08-26T20:27:26.9005399Z http.https://github.com/.extraheader
2025-08-26T20:27:26.9039385Z Entering 'third_party/kineto'
2025-08-26T20:27:26.9078527Z http.https://github.com/.extraheader
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2025-08-26T20:27:26.9149195Z http.https://github.com/.extraheader
2025-08-26T20:27:26.9187058Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-08-26T20:27:26.9225132Z http.https://github.com/.extraheader
2025-08-26T20:27:26.9262111Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
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2025-08-26T20:27:26.9333141Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-08-26T20:27:26.9371525Z http.https://github.com/.extraheader
2025-08-26T20:27:26.9405242Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-08-26T20:27:26.9443803Z http.https://github.com/.extraheader
2025-08-26T20:27:26.9476864Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-08-26T20:27:26.9513950Z http.https://github.com/.extraheader
2025-08-26T20:27:26.9550810Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
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2025-08-26T20:27:26.9621700Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
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2025-08-26T20:27:26.9953894Z http.https://github.com/.extraheader
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2025-08-26T20:27:27.0100544Z http.https://github.com/.extraheader
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2025-08-26T20:27:27.0246602Z http.https://github.com/.extraheader
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2025-08-26T20:27:27.0337410Z http.https://github.com/.extraheader
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2025-08-26T20:27:27.0414823Z http.https://github.com/.extraheader
2025-08-26T20:27:27.0451614Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-08-26T20:27:27.0487977Z http.https://github.com/.extraheader
2025-08-26T20:27:27.0521138Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-08-26T20:27:27.0561004Z http.https://github.com/.extraheader
2025-08-26T20:27:27.0594138Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-08-26T20:27:27.0631821Z http.https://github.com/.extraheader
2025-08-26T20:27:27.0665946Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-08-26T20:27:27.0702974Z http.https://github.com/.extraheader
2025-08-26T20:27:27.0737651Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
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2025-08-26T20:27:27.0808528Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-08-26T20:27:27.0847677Z http.https://github.com/.extraheader
2025-08-26T20:27:27.0883940Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
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2025-08-26T20:27:27.0954772Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
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2025-08-26T20:27:27.1028308Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-08-26T20:27:27.1064921Z http.https://github.com/.extraheader
2025-08-26T20:27:27.1100084Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-08-26T20:27:27.1138734Z http.https://github.com/.extraheader
2025-08-26T20:27:27.1194100Z Entering 'third_party/pocketfft'
2025-08-26T20:27:27.1232723Z http.https://github.com/.extraheader
2025-08-26T20:27:27.1267286Z Entering 'third_party/protobuf'
2025-08-26T20:27:27.1306027Z http.https://github.com/.extraheader
2025-08-26T20:27:27.1343440Z Entering 'third_party/protobuf/third_party/benchmark'
2025-08-26T20:27:27.1381997Z http.https://github.com/.extraheader
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2025-08-26T20:27:27.1487397Z Entering 'third_party/psimd'
2025-08-26T20:27:27.1525578Z http.https://github.com/.extraheader
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2025-08-26T20:27:27.1672472Z http.https://github.com/.extraheader
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2025-08-26T20:27:27.1744643Z http.https://github.com/.extraheader
2025-08-26T20:27:27.1778415Z Entering 'third_party/sleef'
2025-08-26T20:27:27.1816032Z http.https://github.com/.extraheader
2025-08-26T20:27:27.1850918Z Entering 'third_party/tensorpipe'
2025-08-26T20:27:27.1892080Z http.https://github.com/.extraheader
2025-08-26T20:27:27.1926006Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-08-26T20:27:27.1963836Z http.https://github.com/.extraheader
2025-08-26T20:27:27.1998247Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-08-26T20:27:27.2034702Z http.https://github.com/.extraheader
2025-08-26T20:27:27.2068172Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-08-26T20:27:27.2104376Z http.https://github.com/.extraheader
2025-08-26T20:27:27.2138412Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-08-26T20:27:27.2177325Z http.https://github.com/.extraheader
2025-08-26T20:27:27.2212492Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-08-26T20:27:27.2250331Z http.https://github.com/.extraheader
2025-08-26T20:27:27.2372913Z A job completed hook has been configured by the self-hosted runner administrator
2025-08-26T20:27:27.2398711Z ##[group]Run '/home/ec2-user/runner-scripts/after_job.sh'
2025-08-26T20:27:27.2404073Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:27:27.2404476Z ##[endgroup]
2025-08-26T20:27:36.4207897Z Cleaning up orphan processes