2025-08-14T22:29:16.9706098Z Current runner version: '2.328.0'
2025-08-14T22:29:16.9712738Z Runner name: 'i-02cf658f0b64e8296'
2025-08-14T22:29:16.9713514Z Runner group name: 'default'
2025-08-14T22:29:16.9714371Z Machine name: 'ip-10-0-45-234'
2025-08-14T22:29:16.9717191Z ##[group]GITHUB_TOKEN Permissions
2025-08-14T22:29:16.9719667Z Contents: read
2025-08-14T22:29:16.9720199Z Metadata: read
2025-08-14T22:29:16.9720690Z ##[endgroup]
2025-08-14T22:29:16.9723320Z Secret source: Actions
2025-08-14T22:29:16.9724311Z Prepare workflow directory
2025-08-14T22:29:17.0238763Z Prepare all required actions
2025-08-14T22:29:17.0276140Z Getting action download info
2025-08-14T22:29:17.2883834Z Download action repository 'pytorch/test-infra@main' (SHA:a07e5d98fab9986e2426a1520fae86184b9b6d4f)
2025-08-14T22:29:19.3815194Z Download action repository 'pytorch/pytorch@main' (SHA:3650989e6e19d8a3d134c22ae7c4659bf8c93785)
2025-08-14T22:29:34.4497485Z Download action repository 'actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065' (SHA:a26af69be951a213d495a4c3e4e4022e16d87065)
2025-08-14T22:29:34.8079682Z Download action repository 'aws-actions/configure-aws-credentials@ececac1a45f3b08a01d2dd070d28d111c5fe6722' (SHA:ececac1a45f3b08a01d2dd070d28d111c5fe6722)
2025-08-14T22:29:35.0242750Z Download action repository 'aws-actions/amazon-ecr-login@062b18b96a7aff071d4dc91bc00c4c1a7945b076' (SHA:062b18b96a7aff071d4dc91bc00c4c1a7945b076)
2025-08-14T22:29:35.2232305Z Download action repository 'seemethere/upload-artifact-s3@baba72d0712b404f646cebe0730933554ebce96a' (SHA:baba72d0712b404f646cebe0730933554ebce96a)
2025-08-14T22:29:35.4870528Z Getting action download info
2025-08-14T22:29:35.5917114Z Download action repository 'actions/checkout@v4' (SHA:08eba0b27e820071cde6df949e0beb9ba4906955)
2025-08-14T22:29:35.8853971Z Getting action download info
2025-08-14T22:29:35.9966437Z Download action repository 'nick-fields/retry@v3.0.0' (SHA:7152eba30c6575329ac0576536151aca5a72780e)
2025-08-14T22:29:36.1908750Z Getting action download info
2025-08-14T22:29:36.2801485Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482)
2025-08-14T22:29:36.4801721Z Getting action download info
2025-08-14T22:29:36.5993446Z Uses: pytorch/pytorch/.github/workflows/_linux-test.yml@refs/heads/main (1fc683cf17c8c673044538d10266c00f92987be2)
2025-08-14T22:29:36.5997467Z ##[group] Inputs
2025-08-14T22:29:36.5997832Z   build-environment: linux-jammy-cuda12.8-py3.10-gcc9-sm86
2025-08-14T22:29:36.5999737Z   test-matrix: {"include": [{"config": "inductor_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "inductor_timm", "shard": 1, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "inductor_timm", "shard": 2, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}]}
2025-08-14T22:29:36.6002109Z   docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T22:29:36.6003044Z   sync-tag: 
2025-08-14T22:29:36.6003728Z   timeout-minutes: 240
2025-08-14T22:29:36.6003981Z   use-gha: 
2025-08-14T22:29:36.6004188Z   dashboard-tag: 
2025-08-14T22:29:36.6004433Z   s3-bucket: gha-artifacts
2025-08-14T22:29:36.6004700Z   aws-role-to-assume: 
2025-08-14T22:29:36.6005211Z   disable-monitor: false
2025-08-14T22:29:36.6005514Z   monitor-log-interval: 5
2025-08-14T22:29:36.6005828Z   monitor-data-collect-interval: 1
2025-08-14T22:29:36.6006149Z ##[endgroup]
2025-08-14T22:29:36.6006616Z Complete job name: cuda12.8-py3.10-gcc9-sm86 / test (inductor_torchbench, 2, 2, linux.g5.4xlarge.nvidia.gpu)
2025-08-14T22:29:36.6707479Z A job started hook has been configured by the self-hosted runner administrator
2025-08-14T22:29:36.6813997Z ##[group]Run '/home/ec2-user/runner-scripts/before_job.sh'
2025-08-14T22:29:36.6825982Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T22:29:36.6826599Z ##[endgroup]
2025-08-14T22:29:38.0874330Z Runner Type: linux.g5.4xlarge.nvidia.gpu
2025-08-14T22:29:38.0874842Z Instance Type: g5.4xlarge
2025-08-14T22:29:38.0875105Z AMI Name: unknown
2025-08-14T22:29:38.0922932Z AMI ID: ami-05ffe3c48a9991133
2025-08-14T22:29:43.6132713Z ##[group]Run pytorch/test-infra/.github/actions/setup-ssh@main
2025-08-14T22:29:43.6133133Z with:
2025-08-14T22:29:43.6133666Z   github-secret: ***
2025-08-14T22:29:43.6134340Z   instructions: All testing is done inside the container, to start an interactive session run:
  docker exec -it $(docker container ps --format '{{.ID}}') bash

2025-08-14T22:29:43.6135078Z   activate-with-label: false
2025-08-14T22:29:43.6135355Z   label: with-ssh
2025-08-14T22:29:43.6135607Z   remove-existing-keys: true
2025-08-14T22:29:43.6135881Z   fail-silently: true
2025-08-14T22:29:43.6136122Z env:
2025-08-14T22:29:43.6136365Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:29:43.6136627Z ##[endgroup]
2025-08-14T22:29:43.7567188Z Please see https://github.com/pytorch/pytorch/wiki/Debugging-using-with-ssh-for-Github-Actions for more info.
2025-08-14T22:29:43.7568529Z Not on pull request and ciflow reference could not be extracted, skipping adding ssh keys
2025-08-14T22:29:43.7763788Z ##[group]Run pytorch/pytorch/.github/actions/checkout-pytorch@main
2025-08-14T22:29:43.7764219Z with:
2025-08-14T22:29:43.7764436Z   no-sudo: true
2025-08-14T22:29:43.7764669Z   submodules: recursive
2025-08-14T22:29:43.7764931Z   fetch-depth: 0
2025-08-14T22:29:43.7765156Z env:
2025-08-14T22:29:43.7765371Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:29:43.7765625Z ##[endgroup]
2025-08-14T22:29:43.7865441Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-08-14T22:29:43.7866347Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-08-14T22:29:43.7879433Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T22:29:43.7879822Z env:
2025-08-14T22:29:43.7880059Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:29:43.7880353Z ##[endgroup]
2025-08-14T22:29:43.7982651Z ##[group]Run # Use all available CPUs for fetching
2025-08-14T22:29:43.7983083Z # Use all available CPUs for fetching
2025-08-14T22:29:43.7983427Z cd "${GITHUB_WORKSPACE}"
2025-08-14T22:29:43.7983771Z git config --global fetch.parallel 0
2025-08-14T22:29:43.7984164Z git config --global submodule.fetchJobs 0
2025-08-14T22:29:43.7984505Z 
2025-08-14T22:29:43.7984854Z # Clean workspace. The default checkout action should also do this, but
2025-08-14T22:29:43.7985326Z # do it here as well just in case
2025-08-14T22:29:43.7985646Z if [[ -d .git ]]; then
2025-08-14T22:29:43.7985938Z   if [ -z "${NO_SUDO}" ]; then
2025-08-14T22:29:43.7986272Z     sudo git clean -ffdx
2025-08-14T22:29:43.7986559Z   else
2025-08-14T22:29:43.7986793Z     git clean -ffdx
2025-08-14T22:29:43.7987064Z   fi
2025-08-14T22:29:43.7987279Z fi
2025-08-14T22:29:43.7996314Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T22:29:43.7996689Z env:
2025-08-14T22:29:43.7996974Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:29:43.7997264Z   NO_SUDO: true
2025-08-14T22:29:43.7997486Z ##[endgroup]
2025-08-14T22:29:43.8163638Z ##[group]Run actions/checkout@v4
2025-08-14T22:29:43.8163931Z with:
2025-08-14T22:29:43.8164180Z   ref: 1fc683cf17c8c673044538d10266c00f92987be2
2025-08-14T22:29:43.8164508Z   fetch-depth: 0
2025-08-14T22:29:43.8164742Z   submodules: recursive
2025-08-14T22:29:43.8165004Z   show-progress: false
2025-08-14T22:29:43.8165272Z   repository: pytorch/pytorch
2025-08-14T22:29:43.8165652Z   token: ***
2025-08-14T22:29:43.8165879Z   ssh-strict: true
2025-08-14T22:29:43.8166351Z   ssh-user: git
2025-08-14T22:29:43.8166588Z   persist-credentials: true
2025-08-14T22:29:43.8166855Z   clean: true
2025-08-14T22:29:43.8167112Z   sparse-checkout-cone-mode: true
2025-08-14T22:29:43.8167404Z   fetch-tags: false
2025-08-14T22:29:43.8167635Z   lfs: false
2025-08-14T22:29:43.8167866Z   set-safe-directory: true
2025-08-14T22:29:43.8168135Z env:
2025-08-14T22:29:43.8168343Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:29:43.8168601Z ##[endgroup]
2025-08-14T22:29:43.9290260Z Syncing repository: pytorch/pytorch
2025-08-14T22:29:43.9291592Z ##[group]Getting Git version info
2025-08-14T22:29:43.9292055Z Working directory is '/home/ec2-user/actions-runner/_work/pytorch/pytorch'
2025-08-14T22:29:43.9292717Z [command]/usr/bin/git version
2025-08-14T22:29:43.9490324Z git version 2.47.1
2025-08-14T22:29:43.9523453Z ##[endgroup]
2025-08-14T22:29:43.9534334Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/5e4b485f-adc6-4b74-af86-003dad7a38be/.gitconfig'
2025-08-14T22:29:43.9552177Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/5e4b485f-adc6-4b74-af86-003dad7a38be' before making global git config changes
2025-08-14T22:29:43.9553126Z Adding repository directory to the temporary git global config as a safe directory
2025-08-14T22:29:43.9557368Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-08-14T22:29:43.9630807Z Deleting the contents of '/home/ec2-user/actions-runner/_work/pytorch/pytorch'
2025-08-14T22:29:43.9634015Z ##[group]Initializing the repository
2025-08-14T22:29:43.9638148Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-08-14T22:29:43.9711102Z hint: Using 'master' as the name for the initial branch. This default branch name
2025-08-14T22:29:43.9711700Z hint: is subject to change. To configure the initial branch name to use in all
2025-08-14T22:29:43.9712253Z hint: of your new repositories, which will suppress this warning, call:
2025-08-14T22:29:43.9712674Z hint:
2025-08-14T22:29:43.9712967Z hint: 	git config --global init.defaultBranch <name>
2025-08-14T22:29:43.9713314Z hint:
2025-08-14T22:29:43.9713659Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and
2025-08-14T22:29:43.9714211Z hint: 'development'. The just-created branch can be renamed via this command:
2025-08-14T22:29:43.9714635Z hint:
2025-08-14T22:29:43.9714860Z hint: 	git branch -m <name>
2025-08-14T22:29:43.9731194Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/
2025-08-14T22:29:43.9743186Z [command]/usr/bin/git remote add origin https://github.com/pytorch/pytorch
2025-08-14T22:29:43.9790909Z ##[endgroup]
2025-08-14T22:29:43.9791404Z ##[group]Disabling automatic garbage collection
2025-08-14T22:29:43.9795098Z [command]/usr/bin/git config --local gc.auto 0
2025-08-14T22:29:43.9829539Z ##[endgroup]
2025-08-14T22:29:43.9829939Z ##[group]Setting up auth
2025-08-14T22:29:43.9836265Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
2025-08-14T22:29:43.9870807Z [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' || :"
2025-08-14T22:29:44.0294588Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
2025-08-14T22:29:44.0329150Z [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' || :"
2025-08-14T22:29:44.0745030Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic ***
2025-08-14T22:29:44.0805478Z ##[endgroup]
2025-08-14T22:29:44.0805912Z ##[group]Fetching the repository
2025-08-14T22:29:44.0813605Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/*
2025-08-14T22:30:31.6323526Z From https://github.com/pytorch/pytorch
2025-08-14T22:30:31.6326209Z  * [new branch]              2.6.0.dev20241004+          -> origin/2.6.0.dev20241004+
2025-08-14T22:30:31.6328542Z  * [new branch]              5addvllmbuild               -> origin/5addvllmbuild
2025-08-14T22:30:31.6329488Z  * [new branch]              AaronWang04_addmmfusion_perftest -> origin/AaronWang04_addmmfusion_perftest
2025-08-14T22:30:31.6330466Z  * [new branch]              HDCharles-2.6.0-release-notes -> origin/HDCharles-2.6.0-release-notes
2025-08-14T22:30:31.6331635Z  * [new branch]              JackCaoG/dynamo_make_fx_non_core_aten_ops -> origin/JackCaoG/dynamo_make_fx_non_core_aten_ops
2025-08-14T22:30:31.6348633Z  * [new branch]              PR-AOTInductorNoneBug       -> origin/PR-AOTInductorNoneBug
2025-08-14T22:30:31.6349667Z  * [new branch]              PR-AOTInductorNoneBugFix    -> origin/PR-AOTInductorNoneBugFix
2025-08-14T22:30:31.6350610Z  * [new branch]              PR-FixConfigsIssue          -> origin/PR-FixConfigsIssue
2025-08-14T22:30:31.6351487Z  * [new branch]              PR-NoneBugFix-viable        -> origin/PR-NoneBugFix-viable
2025-08-14T22:30:31.6352315Z  * [new branch]              PR-ResetToZero              -> origin/PR-ResetToZero
2025-08-14T22:30:31.6353569Z  * [new branch]              Update-Flash-Packaging      -> origin/Update-Flash-Packaging
2025-08-14T22:30:31.6354595Z  * [new branch]              add-missing-args-normalization -> origin/add-missing-args-normalization
2025-08-14T22:30:31.6355600Z  * [new branch]              add-user-guide-structure    -> origin/add-user-guide-structure
2025-08-14T22:30:31.6356423Z  * [new branch]              addVllmPin                  -> origin/addVllmPin
2025-08-14T22:30:31.6357252Z  * [new branch]              add_windows_testing_back    -> origin/add_windows_testing_back
2025-08-14T22:30:31.6358091Z  * [new branch]              addbuildvllm                -> origin/addbuildvllm
2025-08-14T22:30:31.6358689Z  * [new branch]              addmm-heuristic             -> origin/addmm-heuristic
2025-08-14T22:30:31.6359183Z  * [new branch]              addsimde                    -> origin/addsimde
2025-08-14T22:30:31.6359683Z  * [new branch]              addvllpinnedfile            -> origin/addvllpinnedfile
2025-08-14T22:30:31.6360214Z  * [new branch]              adi/acl_upgrade             -> origin/adi/acl_upgrade
2025-08-14T22:30:31.6361929Z  * [new branch]              adi/skip_slow_tests         -> origin/adi/skip_slow_tests
2025-08-14T22:30:31.6363587Z  * [new branch]              adi/test                    -> origin/adi/test
2025-08-14T22:30:31.6365327Z  * [new branch]              adi/test_bgemm              -> origin/adi/test_bgemm
2025-08-14T22:30:31.6367096Z  * [new branch]              adi/test_fusions            -> origin/adi/test_fusions
2025-08-14T22:30:31.6368866Z  * [new branch]              adi/test_onednn_v3.9        -> origin/adi/test_onednn_v3.9
2025-08-14T22:30:31.6370661Z  * [new branch]              adi/test_presve_change      -> origin/adi/test_presve_change
2025-08-14T22:30:31.6372594Z  * [new branch]              adi/test_timm               -> origin/adi/test_timm
2025-08-14T22:30:31.6374893Z  * [new branch]              adi/testpresve_change       -> origin/adi/testpresve_change
2025-08-14T22:30:31.6378706Z  * [new branch]              aditew01/test/vec_bf16      -> origin/aditew01/test/vec_bf16
2025-08-14T22:30:31.6380050Z  * [new branch]              ah-globalfeedback-hook      -> origin/ah-globalfeedback-hook
2025-08-14T22:30:31.6382131Z  * [new branch]              albanD-patch-1              -> origin/albanD-patch-1
2025-08-14T22:30:31.6384032Z  * [new branch]              alt-disable                 -> origin/alt-disable
2025-08-14T22:30:31.6386745Z  * [new branch]              angelayi/aoti_additional_files -> origin/angelayi/aoti_additional_files
2025-08-14T22:30:31.6388553Z  * [new branch]              angelayi/aoti_inductor_fx   -> origin/angelayi/aoti_inductor_fx
2025-08-14T22:30:31.6390647Z  * [new branch]              angelayi/assert_tensor_metadata_device -> origin/angelayi/assert_tensor_metadata_device
2025-08-14T22:30:31.6392062Z  * [new branch]              angelayi/benchmark          -> origin/angelayi/benchmark
2025-08-14T22:30:31.6394020Z  * [new branch]              angelayi/benchmark2         -> origin/angelayi/benchmark2
2025-08-14T22:30:31.6396400Z  * [new branch]              angelayi/change_pytree_serialization -> origin/angelayi/change_pytree_serialization
2025-08-14T22:30:31.6398541Z  * [new branch]              angelayi/cpp_loader         -> origin/angelayi/cpp_loader
2025-08-14T22:30:31.6400829Z  * [new branch]              angelayi/custom_op_subgraph -> origin/angelayi/custom_op_subgraph
2025-08-14T22:30:31.6402677Z  * [new branch]              angelayi/customop           -> origin/angelayi/customop
2025-08-14T22:30:31.6404556Z  * [new branch]              angelayi/del_lib            -> origin/angelayi/del_lib
2025-08-14T22:30:31.6406305Z  * [new branch]              angelayi/docs               -> origin/angelayi/docs
2025-08-14T22:30:31.6408133Z  * [new branch]              angelayi/docs2              -> origin/angelayi/docs2
2025-08-14T22:30:31.6410088Z  * [new branch]              angelayi/fix_pt2            -> origin/angelayi/fix_pt2
2025-08-14T22:30:31.6412268Z  * [new branch]              angelayi/logging.bak        -> origin/angelayi/logging.bak
2025-08-14T22:30:31.6414109Z  * [new branch]              angelayi/logging2           -> origin/angelayi/logging2
2025-08-14T22:30:31.6416046Z  * [new branch]              angelayi/no_so_weight       -> origin/angelayi/no_so_weight
2025-08-14T22:30:31.6418019Z  * [new branch]              angelayi/pytree             -> origin/angelayi/pytree
2025-08-14T22:30:31.6419981Z  * [new branch]              angelayi/save_error         -> origin/angelayi/save_error
2025-08-14T22:30:31.6421946Z  * [new branch]              angelayi/scan_layers        -> origin/angelayi/scan_layers
2025-08-14T22:30:31.6424183Z  * [new branch]              angelayi/symint_input       -> origin/angelayi/symint_input
2025-08-14T22:30:31.6426365Z  * [new branch]              angelayi/tensor_nn_module_meta -> origin/angelayi/tensor_nn_module_meta
2025-08-14T22:30:31.6428141Z  * [new branch]              angelayi/torch_size         -> origin/angelayi/torch_size
2025-08-14T22:30:31.6430024Z  * [new branch]              aoti-cuda-alloc             -> origin/aoti-cuda-alloc
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2025-08-14T22:30:32.6724696Z  * [new tag]                 ciflow/binaries_wheel/143959 -> ciflow/binaries_wheel/143959
2025-08-14T22:30:32.6725626Z  * [new tag]                 ciflow/binaries_wheel/156049 -> ciflow/binaries_wheel/156049
2025-08-14T22:30:32.6727104Z  * [new tag]                 ciflow/binaries_wheel/157432 -> ciflow/binaries_wheel/157432
2025-08-14T22:30:32.6728489Z  * [new tag]                 ciflow/binaries_wheel/158733 -> ciflow/binaries_wheel/158733
2025-08-14T22:30:32.6729614Z  * [new tag]                 ciflow/binaries_wheel/160301 -> ciflow/binaries_wheel/160301
2025-08-14T22:30:32.6731168Z  * [new tag]                 ciflow/binaries_wheel/160496 -> ciflow/binaries_wheel/160496
2025-08-14T22:30:32.6732964Z  * [new tag]                 ciflow/h100-distributed/156703 -> ciflow/h100-distributed/156703
2025-08-14T22:30:32.6734493Z  * [new tag]                 ciflow/h100-symm-mem/151845 -> ciflow/h100-symm-mem/151845
2025-08-14T22:30:32.6735620Z  * [new tag]                 ciflow/h100-symm-mem/155923 -> ciflow/h100-symm-mem/155923
2025-08-14T22:30:32.6736972Z  * [new tag]                 ciflow/h100-symm-mem/157635 -> ciflow/h100-symm-mem/157635
2025-08-14T22:30:32.6738339Z  * [new tag]                 ciflow/h100-symm-mem/159118 -> ciflow/h100-symm-mem/159118
2025-08-14T22:30:32.6739746Z  * [new tag]                 ciflow/h100-symm-mem/159562 -> ciflow/h100-symm-mem/159562
2025-08-14T22:30:32.6740705Z  * [new tag]                 ciflow/h100-symm-mem/159889 -> ciflow/h100-symm-mem/159889
2025-08-14T22:30:32.6742560Z  * [new tag]                 ciflow/h100/159158          -> ciflow/h100/159158
2025-08-14T22:30:32.6744123Z  * [new tag]                 ciflow/h100/160450          -> ciflow/h100/160450
2025-08-14T22:30:32.6745538Z  * [new tag]                 ciflow/h100/160480          -> ciflow/h100/160480
2025-08-14T22:30:32.6747045Z  * [new tag]                 ciflow/h100/160614          -> ciflow/h100/160614
2025-08-14T22:30:32.6748827Z  * [new tag]                 ciflow/inductor-perf-test-nightly-rocm/151845 -> ciflow/inductor-perf-test-nightly-rocm/151845
2025-08-14T22:30:32.6749942Z  * [new tag]                 ciflow/inductor-perf-test-nightly-rocm/160538 -> ciflow/inductor-perf-test-nightly-rocm/160538
2025-08-14T22:30:32.6752237Z  * [new tag]                 ciflow/inductor-perf-test-nightly-x86-zen/156599 -> ciflow/inductor-perf-test-nightly-x86-zen/156599
2025-08-14T22:30:32.6753707Z  * [new tag]                 ciflow/inductor-periodic/160406 -> ciflow/inductor-periodic/160406
2025-08-14T22:30:32.6754705Z  * [new tag]                 ciflow/inductor-periodic/160538 -> ciflow/inductor-periodic/160538
2025-08-14T22:30:32.6756561Z  * [new tag]                 ciflow/inductor-rocm/151845 -> ciflow/inductor-rocm/151845
2025-08-14T22:30:32.6757520Z  * [new tag]                 ciflow/inductor-rocm/159158 -> ciflow/inductor-rocm/159158
2025-08-14T22:30:32.6759129Z  * [new tag]                 ciflow/inductor-rocm/160073 -> ciflow/inductor-rocm/160073
2025-08-14T22:30:32.6760183Z  * [new tag]                 ciflow/inductor-rocm/160538 -> ciflow/inductor-rocm/160538
2025-08-14T22:30:32.6761872Z  * [new tag]                 ciflow/inductor/134881      -> ciflow/inductor/134881
2025-08-14T22:30:32.6763268Z  * [new tag]                 ciflow/inductor/137400      -> ciflow/inductor/137400
2025-08-14T22:30:32.6764070Z  * [new tag]                 ciflow/inductor/144516      -> ciflow/inductor/144516
2025-08-14T22:30:32.6765517Z  * [new tag]                 ciflow/inductor/146506      -> ciflow/inductor/146506
2025-08-14T22:30:32.6766764Z  * [new tag]                 ciflow/inductor/147360      -> ciflow/inductor/147360
2025-08-14T22:30:32.6767869Z  * [new tag]                 ciflow/inductor/147990      -> ciflow/inductor/147990
2025-08-14T22:30:32.6769207Z  * [new tag]                 ciflow/inductor/148180      -> ciflow/inductor/148180
2025-08-14T22:30:32.6770440Z  * [new tag]                 ciflow/inductor/148328      -> ciflow/inductor/148328
2025-08-14T22:30:32.6771813Z  * [new tag]                 ciflow/inductor/148484      -> ciflow/inductor/148484
2025-08-14T22:30:32.6773080Z  * [new tag]                 ciflow/inductor/148492      -> ciflow/inductor/148492
2025-08-14T22:30:32.6774385Z  * [new tag]                 ciflow/inductor/150302      -> ciflow/inductor/150302
2025-08-14T22:30:32.6775887Z  * [new tag]                 ciflow/inductor/151845      -> ciflow/inductor/151845
2025-08-14T22:30:32.6777688Z  * [new tag]                 ciflow/inductor/152198      -> ciflow/inductor/152198
2025-08-14T22:30:32.6779172Z  * [new tag]                 ciflow/inductor/152624      -> ciflow/inductor/152624
2025-08-14T22:30:32.6780474Z  * [new tag]                 ciflow/inductor/153966      -> ciflow/inductor/153966
2025-08-14T22:30:32.6781779Z  * [new tag]                 ciflow/inductor/154193      -> ciflow/inductor/154193
2025-08-14T22:30:32.6783279Z  * [new tag]                 ciflow/inductor/154650      -> ciflow/inductor/154650
2025-08-14T22:30:32.6784585Z  * [new tag]                 ciflow/inductor/154694      -> ciflow/inductor/154694
2025-08-14T22:30:32.6785869Z  * [new tag]                 ciflow/inductor/155072      -> ciflow/inductor/155072
2025-08-14T22:30:32.6787153Z  * [new tag]                 ciflow/inductor/155152      -> ciflow/inductor/155152
2025-08-14T22:30:32.6788433Z  * [new tag]                 ciflow/inductor/155153      -> ciflow/inductor/155153
2025-08-14T22:30:32.6789752Z  * [new tag]                 ciflow/inductor/155154      -> ciflow/inductor/155154
2025-08-14T22:30:32.6791091Z  * [new tag]                 ciflow/inductor/155501      -> ciflow/inductor/155501
2025-08-14T22:30:32.6792413Z  * [new tag]                 ciflow/inductor/155502      -> ciflow/inductor/155502
2025-08-14T22:30:32.6793790Z  * [new tag]                 ciflow/inductor/155503      -> ciflow/inductor/155503
2025-08-14T22:30:32.6795274Z  * [new tag]                 ciflow/inductor/155504      -> ciflow/inductor/155504
2025-08-14T22:30:32.6796681Z  * [new tag]                 ciflow/inductor/155557      -> ciflow/inductor/155557
2025-08-14T22:30:32.6798580Z  * [new tag]                 ciflow/inductor/155608      -> ciflow/inductor/155608
2025-08-14T22:30:32.6799877Z  * [new tag]                 ciflow/inductor/155923      -> ciflow/inductor/155923
2025-08-14T22:30:32.6801200Z  * [new tag]                 ciflow/inductor/155928      -> ciflow/inductor/155928
2025-08-14T22:30:32.6802716Z  * [new tag]                 ciflow/inductor/155958      -> ciflow/inductor/155958
2025-08-14T22:30:32.6804035Z  * [new tag]                 ciflow/inductor/156049      -> ciflow/inductor/156049
2025-08-14T22:30:32.6805310Z  * [new tag]                 ciflow/inductor/156851      -> ciflow/inductor/156851
2025-08-14T22:30:32.6806659Z  * [new tag]                 ciflow/inductor/156967      -> ciflow/inductor/156967
2025-08-14T22:30:32.6807938Z  * [new tag]                 ciflow/inductor/157148      -> ciflow/inductor/157148
2025-08-14T22:30:32.6809290Z  * [new tag]                 ciflow/inductor/157149      -> ciflow/inductor/157149
2025-08-14T22:30:32.6810577Z  * [new tag]                 ciflow/inductor/157152      -> ciflow/inductor/157152
2025-08-14T22:30:32.6811996Z  * [new tag]                 ciflow/inductor/157542      -> ciflow/inductor/157542
2025-08-14T22:30:32.6813459Z  * [new tag]                 ciflow/inductor/157572      -> ciflow/inductor/157572
2025-08-14T22:30:32.6814656Z  * [new tag]                 ciflow/inductor/157635      -> ciflow/inductor/157635
2025-08-14T22:30:32.6815983Z  * [new tag]                 ciflow/inductor/157685      -> ciflow/inductor/157685
2025-08-14T22:30:32.6817282Z  * [new tag]                 ciflow/inductor/157686      -> ciflow/inductor/157686
2025-08-14T22:30:32.6818580Z  * [new tag]                 ciflow/inductor/157689      -> ciflow/inductor/157689
2025-08-14T22:30:32.6819931Z  * [new tag]                 ciflow/inductor/157699      -> ciflow/inductor/157699
2025-08-14T22:30:32.6821381Z  * [new tag]                 ciflow/inductor/157743      -> ciflow/inductor/157743
2025-08-14T22:30:32.6822695Z  * [new tag]                 ciflow/inductor/157944      -> ciflow/inductor/157944
2025-08-14T22:30:32.6824143Z  * [new tag]                 ciflow/inductor/157971      -> ciflow/inductor/157971
2025-08-14T22:30:32.6825685Z  * [new tag]                 ciflow/inductor/157994      -> ciflow/inductor/157994
2025-08-14T22:30:32.6826957Z  * [new tag]                 ciflow/inductor/158061      -> ciflow/inductor/158061
2025-08-14T22:30:32.6828269Z  * [new tag]                 ciflow/inductor/158091      -> ciflow/inductor/158091
2025-08-14T22:30:32.6829631Z  * [new tag]                 ciflow/inductor/158097      -> ciflow/inductor/158097
2025-08-14T22:30:32.6830955Z  * [new tag]                 ciflow/inductor/158098      -> ciflow/inductor/158098
2025-08-14T22:30:32.6832268Z  * [new tag]                 ciflow/inductor/158104      -> ciflow/inductor/158104
2025-08-14T22:30:32.6833622Z  * [new tag]                 ciflow/inductor/158168      -> ciflow/inductor/158168
2025-08-14T22:30:32.6835092Z  * [new tag]                 ciflow/inductor/158250      -> ciflow/inductor/158250
2025-08-14T22:30:32.6836343Z  * [new tag]                 ciflow/inductor/158321      -> ciflow/inductor/158321
2025-08-14T22:30:32.6837657Z  * [new tag]                 ciflow/inductor/158609      -> ciflow/inductor/158609
2025-08-14T22:30:32.6838951Z  * [new tag]                 ciflow/inductor/158647      -> ciflow/inductor/158647
2025-08-14T22:30:32.6840301Z  * [new tag]                 ciflow/inductor/158914      -> ciflow/inductor/158914
2025-08-14T22:30:32.6841943Z  * [new tag]                 ciflow/inductor/158932      -> ciflow/inductor/158932
2025-08-14T22:30:32.6843214Z  * [new tag]                 ciflow/inductor/158987      -> ciflow/inductor/158987
2025-08-14T22:30:32.6844512Z  * [new tag]                 ciflow/inductor/159009      -> ciflow/inductor/159009
2025-08-14T22:30:32.6845861Z  * [new tag]                 ciflow/inductor/159010      -> ciflow/inductor/159010
2025-08-14T22:30:32.6847138Z  * [new tag]                 ciflow/inductor/159093      -> ciflow/inductor/159093
2025-08-14T22:30:32.6848515Z  * [new tag]                 ciflow/inductor/159158      -> ciflow/inductor/159158
2025-08-14T22:30:32.6849814Z  * [new tag]                 ciflow/inductor/159197      -> ciflow/inductor/159197
2025-08-14T22:30:32.6851338Z  * [new tag]                 ciflow/inductor/159274      -> ciflow/inductor/159274
2025-08-14T22:30:32.6852871Z  * [new tag]                 ciflow/inductor/159281      -> ciflow/inductor/159281
2025-08-14T22:30:32.6854107Z  * [new tag]                 ciflow/inductor/159329      -> ciflow/inductor/159329
2025-08-14T22:30:32.6855411Z  * [new tag]                 ciflow/inductor/159361      -> ciflow/inductor/159361
2025-08-14T22:30:32.6856701Z  * [new tag]                 ciflow/inductor/159365      -> ciflow/inductor/159365
2025-08-14T22:30:32.6858108Z  * [new tag]                 ciflow/inductor/159366      -> ciflow/inductor/159366
2025-08-14T22:30:32.6859381Z  * [new tag]                 ciflow/inductor/159367      -> ciflow/inductor/159367
2025-08-14T22:30:32.6865620Z  * [new tag]                 ciflow/inductor/159368      -> ciflow/inductor/159368
2025-08-14T22:30:32.6866134Z  * [new tag]                 ciflow/inductor/159473      -> ciflow/inductor/159473
2025-08-14T22:30:32.6866336Z  * [new tag]                 ciflow/inductor/159483      -> ciflow/inductor/159483
2025-08-14T22:30:32.6866519Z  * [new tag]                 ciflow/inductor/159508      -> ciflow/inductor/159508
2025-08-14T22:30:32.6866698Z  * [new tag]                 ciflow/inductor/159523      -> ciflow/inductor/159523
2025-08-14T22:30:32.6867222Z  * [new tag]                 ciflow/inductor/159678      -> ciflow/inductor/159678
2025-08-14T22:30:32.6868795Z  * [new tag]                 ciflow/inductor/159691      -> ciflow/inductor/159691
2025-08-14T22:30:32.6870259Z  * [new tag]                 ciflow/inductor/159778      -> ciflow/inductor/159778
2025-08-14T22:30:32.6871597Z  * [new tag]                 ciflow/inductor/159786      -> ciflow/inductor/159786
2025-08-14T22:30:32.6872924Z  * [new tag]                 ciflow/inductor/159817      -> ciflow/inductor/159817
2025-08-14T22:30:32.6874319Z  * [new tag]                 ciflow/inductor/159842      -> ciflow/inductor/159842
2025-08-14T22:30:32.6875594Z  * [new tag]                 ciflow/inductor/159864      -> ciflow/inductor/159864
2025-08-14T22:30:32.6876928Z  * [new tag]                 ciflow/inductor/159865      -> ciflow/inductor/159865
2025-08-14T22:30:32.6878310Z  * [new tag]                 ciflow/inductor/159869      -> ciflow/inductor/159869
2025-08-14T22:30:32.6879642Z  * [new tag]                 ciflow/inductor/159875      -> ciflow/inductor/159875
2025-08-14T22:30:32.6880953Z  * [new tag]                 ciflow/inductor/159889      -> ciflow/inductor/159889
2025-08-14T22:30:32.6882265Z  * [new tag]                 ciflow/inductor/159902      -> ciflow/inductor/159902
2025-08-14T22:30:32.6883753Z  * [new tag]                 ciflow/inductor/159923      -> ciflow/inductor/159923
2025-08-14T22:30:32.6885715Z  * [new tag]                 ciflow/inductor/159944      -> ciflow/inductor/159944
2025-08-14T22:30:32.6887070Z  * [new tag]                 ciflow/inductor/160004      -> ciflow/inductor/160004
2025-08-14T22:30:32.6888427Z  * [new tag]                 ciflow/inductor/160080      -> ciflow/inductor/160080
2025-08-14T22:30:32.6889757Z  * [new tag]                 ciflow/inductor/160108      -> ciflow/inductor/160108
2025-08-14T22:30:32.6891180Z  * [new tag]                 ciflow/inductor/160109      -> ciflow/inductor/160109
2025-08-14T22:30:32.6892873Z  * [new tag]                 ciflow/inductor/160111      -> ciflow/inductor/160111
2025-08-14T22:30:32.6894223Z  * [new tag]                 ciflow/inductor/160113      -> ciflow/inductor/160113
2025-08-14T22:30:32.6895541Z  * [new tag]                 ciflow/inductor/160127      -> ciflow/inductor/160127
2025-08-14T22:30:32.6896895Z  * [new tag]                 ciflow/inductor/160131      -> ciflow/inductor/160131
2025-08-14T22:30:32.6898218Z  * [new tag]                 ciflow/inductor/160132      -> ciflow/inductor/160132
2025-08-14T22:30:32.6899485Z  * [new tag]                 ciflow/inductor/160136      -> ciflow/inductor/160136
2025-08-14T22:30:32.6900910Z  * [new tag]                 ciflow/inductor/160138      -> ciflow/inductor/160138
2025-08-14T22:30:32.6902130Z  * [new tag]                 ciflow/inductor/160151      -> ciflow/inductor/160151
2025-08-14T22:30:32.6903472Z  * [new tag]                 ciflow/inductor/160152      -> ciflow/inductor/160152
2025-08-14T22:30:32.6904779Z  * [new tag]                 ciflow/inductor/160154      -> ciflow/inductor/160154
2025-08-14T22:30:32.6906156Z  * [new tag]                 ciflow/inductor/160156      -> ciflow/inductor/160156
2025-08-14T22:30:32.6907587Z  * [new tag]                 ciflow/inductor/160161      -> ciflow/inductor/160161
2025-08-14T22:30:32.6909062Z  * [new tag]                 ciflow/inductor/160166      -> ciflow/inductor/160166
2025-08-14T22:30:32.6910417Z  * [new tag]                 ciflow/inductor/160168      -> ciflow/inductor/160168
2025-08-14T22:30:32.6911760Z  * [new tag]                 ciflow/inductor/160174      -> ciflow/inductor/160174
2025-08-14T22:30:32.6913121Z  * [new tag]                 ciflow/inductor/160181      -> ciflow/inductor/160181
2025-08-14T22:30:32.6914490Z  * [new tag]                 ciflow/inductor/160183      -> ciflow/inductor/160183
2025-08-14T22:30:32.6915987Z  * [new tag]                 ciflow/inductor/160190      -> ciflow/inductor/160190
2025-08-14T22:30:32.6917603Z  * [new tag]                 ciflow/inductor/160198      -> ciflow/inductor/160198
2025-08-14T22:30:32.6918925Z  * [new tag]                 ciflow/inductor/160201      -> ciflow/inductor/160201
2025-08-14T22:30:32.6920274Z  * [new tag]                 ciflow/inductor/160209      -> ciflow/inductor/160209
2025-08-14T22:30:32.6921839Z  * [new tag]                 ciflow/inductor/160218      -> ciflow/inductor/160218
2025-08-14T22:30:32.6923164Z  * [new tag]                 ciflow/inductor/160239      -> ciflow/inductor/160239
2025-08-14T22:30:32.6924647Z  * [new tag]                 ciflow/inductor/160250      -> ciflow/inductor/160250
2025-08-14T22:30:32.6928255Z  * [new tag]                 ciflow/inductor/160253      -> ciflow/inductor/160253
2025-08-14T22:30:32.6929535Z  * [new tag]                 ciflow/inductor/160266      -> ciflow/inductor/160266
2025-08-14T22:30:32.6930858Z  * [new tag]                 ciflow/inductor/160282      -> ciflow/inductor/160282
2025-08-14T22:30:32.6932530Z  * [new tag]                 ciflow/inductor/160298      -> ciflow/inductor/160298
2025-08-14T22:30:32.6933842Z  * [new tag]                 ciflow/inductor/160301      -> ciflow/inductor/160301
2025-08-14T22:30:32.6935333Z  * [new tag]                 ciflow/inductor/160310      -> ciflow/inductor/160310
2025-08-14T22:30:32.6936799Z  * [new tag]                 ciflow/inductor/160323      -> ciflow/inductor/160323
2025-08-14T22:30:32.6938433Z  * [new tag]                 ciflow/inductor/160324      -> ciflow/inductor/160324
2025-08-14T22:30:32.6939887Z  * [new tag]                 ciflow/inductor/160325      -> ciflow/inductor/160325
2025-08-14T22:30:32.6941855Z  * [new tag]                 ciflow/inductor/160326      -> ciflow/inductor/160326
2025-08-14T22:30:32.6942741Z  * [new tag]                 ciflow/inductor/160327      -> ciflow/inductor/160327
2025-08-14T22:30:32.6944261Z  * [new tag]                 ciflow/inductor/160328      -> ciflow/inductor/160328
2025-08-14T22:30:32.6945783Z  * [new tag]                 ciflow/inductor/160329      -> ciflow/inductor/160329
2025-08-14T22:30:32.6947242Z  * [new tag]                 ciflow/inductor/160351      -> ciflow/inductor/160351
2025-08-14T22:30:32.6948561Z  * [new tag]                 ciflow/inductor/160353      -> ciflow/inductor/160353
2025-08-14T22:30:32.6949899Z  * [new tag]                 ciflow/inductor/160362      -> ciflow/inductor/160362
2025-08-14T22:30:32.6951250Z  * [new tag]                 ciflow/inductor/160363      -> ciflow/inductor/160363
2025-08-14T22:30:32.6952633Z  * [new tag]                 ciflow/inductor/160364      -> ciflow/inductor/160364
2025-08-14T22:30:32.6953956Z  * [new tag]                 ciflow/inductor/160365      -> ciflow/inductor/160365
2025-08-14T22:30:32.6955245Z  * [new tag]                 ciflow/inductor/160366      -> ciflow/inductor/160366
2025-08-14T22:30:32.6956630Z  * [new tag]                 ciflow/inductor/160367      -> ciflow/inductor/160367
2025-08-14T22:30:32.6957928Z  * [new tag]                 ciflow/inductor/160368      -> ciflow/inductor/160368
2025-08-14T22:30:32.6959263Z  * [new tag]                 ciflow/inductor/160369      -> ciflow/inductor/160369
2025-08-14T22:30:32.6960638Z  * [new tag]                 ciflow/inductor/160371      -> ciflow/inductor/160371
2025-08-14T22:30:32.6961954Z  * [new tag]                 ciflow/inductor/160374      -> ciflow/inductor/160374
2025-08-14T22:30:32.6963258Z  * [new tag]                 ciflow/inductor/160375      -> ciflow/inductor/160375
2025-08-14T22:30:32.6964580Z  * [new tag]                 ciflow/inductor/160377      -> ciflow/inductor/160377
2025-08-14T22:30:32.6966065Z  * [new tag]                 ciflow/inductor/160380      -> ciflow/inductor/160380
2025-08-14T22:30:32.6967417Z  * [new tag]                 ciflow/inductor/160381      -> ciflow/inductor/160381
2025-08-14T22:30:32.6968994Z  * [new tag]                 ciflow/inductor/160383      -> ciflow/inductor/160383
2025-08-14T22:30:32.6970556Z  * [new tag]                 ciflow/inductor/160394      -> ciflow/inductor/160394
2025-08-14T22:30:32.6971999Z  * [new tag]                 ciflow/inductor/160401      -> ciflow/inductor/160401
2025-08-14T22:30:32.6973302Z  * [new tag]                 ciflow/inductor/160402      -> ciflow/inductor/160402
2025-08-14T22:30:32.6974631Z  * [new tag]                 ciflow/inductor/160403      -> ciflow/inductor/160403
2025-08-14T22:30:32.6975939Z  * [new tag]                 ciflow/inductor/160424      -> ciflow/inductor/160424
2025-08-14T22:30:32.6977813Z  * [new tag]                 ciflow/inductor/160426      -> ciflow/inductor/160426
2025-08-14T22:30:32.6979363Z  * [new tag]                 ciflow/inductor/160431      -> ciflow/inductor/160431
2025-08-14T22:30:32.6980700Z  * [new tag]                 ciflow/inductor/160448      -> ciflow/inductor/160448
2025-08-14T22:30:32.6982039Z  * [new tag]                 ciflow/inductor/160450      -> ciflow/inductor/160450
2025-08-14T22:30:32.6983390Z  * [new tag]                 ciflow/inductor/160455      -> ciflow/inductor/160455
2025-08-14T22:30:32.6984937Z  * [new tag]                 ciflow/inductor/160456      -> ciflow/inductor/160456
2025-08-14T22:30:32.6986334Z  * [new tag]                 ciflow/inductor/160461      -> ciflow/inductor/160461
2025-08-14T22:30:32.6987688Z  * [new tag]                 ciflow/inductor/160462      -> ciflow/inductor/160462
2025-08-14T22:30:32.6989006Z  * [new tag]                 ciflow/inductor/160467      -> ciflow/inductor/160467
2025-08-14T22:30:32.6990614Z  * [new tag]                 ciflow/inductor/160470      -> ciflow/inductor/160470
2025-08-14T22:30:32.6991575Z  * [new tag]                 ciflow/inductor/160473      -> ciflow/inductor/160473
2025-08-14T22:30:32.6993023Z  * [new tag]                 ciflow/inductor/160476      -> ciflow/inductor/160476
2025-08-14T22:30:32.6994331Z  * [new tag]                 ciflow/inductor/160480      -> ciflow/inductor/160480
2025-08-14T22:30:32.6995829Z  * [new tag]                 ciflow/inductor/160481      -> ciflow/inductor/160481
2025-08-14T22:30:32.6997239Z  * [new tag]                 ciflow/inductor/160482      -> ciflow/inductor/160482
2025-08-14T22:30:32.6998482Z  * [new tag]                 ciflow/inductor/160483      -> ciflow/inductor/160483
2025-08-14T22:30:32.6999841Z  * [new tag]                 ciflow/inductor/160485      -> ciflow/inductor/160485
2025-08-14T22:30:32.7001364Z  * [new tag]                 ciflow/inductor/160486      -> ciflow/inductor/160486
2025-08-14T22:30:32.7002698Z  * [new tag]                 ciflow/inductor/160503      -> ciflow/inductor/160503
2025-08-14T22:30:32.7003962Z  * [new tag]                 ciflow/inductor/160510      -> ciflow/inductor/160510
2025-08-14T22:30:32.7005332Z  * [new tag]                 ciflow/inductor/160527      -> ciflow/inductor/160527
2025-08-14T22:30:32.7006681Z  * [new tag]                 ciflow/inductor/160530      -> ciflow/inductor/160530
2025-08-14T22:30:32.7008041Z  * [new tag]                 ciflow/inductor/160531      -> ciflow/inductor/160531
2025-08-14T22:30:32.7009333Z  * [new tag]                 ciflow/inductor/160538      -> ciflow/inductor/160538
2025-08-14T22:30:32.7011390Z  * [new tag]                 ciflow/inductor/160539      -> ciflow/inductor/160539
2025-08-14T22:30:32.7013054Z  * [new tag]                 ciflow/inductor/160540      -> ciflow/inductor/160540
2025-08-14T22:30:32.7014404Z  * [new tag]                 ciflow/inductor/160548      -> ciflow/inductor/160548
2025-08-14T22:30:32.7015684Z  * [new tag]                 ciflow/inductor/160552      -> ciflow/inductor/160552
2025-08-14T22:30:32.7017120Z  * [new tag]                 ciflow/inductor/160561      -> ciflow/inductor/160561
2025-08-14T22:30:32.7018639Z  * [new tag]                 ciflow/inductor/160576      -> ciflow/inductor/160576
2025-08-14T22:30:32.7019916Z  * [new tag]                 ciflow/inductor/160578      -> ciflow/inductor/160578
2025-08-14T22:30:32.7021156Z  * [new tag]                 ciflow/inductor/160580      -> ciflow/inductor/160580
2025-08-14T22:30:32.7022605Z  * [new tag]                 ciflow/inductor/160583      -> ciflow/inductor/160583
2025-08-14T22:30:32.7024370Z  * [new tag]                 ciflow/inductor/160589      -> ciflow/inductor/160589
2025-08-14T22:30:32.7025830Z  * [new tag]                 ciflow/inductor/160590      -> ciflow/inductor/160590
2025-08-14T22:30:32.7027333Z  * [new tag]                 ciflow/inductor/160592      -> ciflow/inductor/160592
2025-08-14T22:30:32.7028679Z  * [new tag]                 ciflow/inductor/160596      -> ciflow/inductor/160596
2025-08-14T22:30:32.7029969Z  * [new tag]                 ciflow/inductor/160601      -> ciflow/inductor/160601
2025-08-14T22:30:32.7031505Z  * [new tag]                 ciflow/inductor/160607      -> ciflow/inductor/160607
2025-08-14T22:30:32.7033013Z  * [new tag]                 ciflow/inductor/160608      -> ciflow/inductor/160608
2025-08-14T22:30:32.7034783Z  * [new tag]                 ciflow/inductor/160611      -> ciflow/inductor/160611
2025-08-14T22:30:32.7035495Z  * [new tag]                 ciflow/inductor/160614      -> ciflow/inductor/160614
2025-08-14T22:30:32.7037004Z  * [new tag]                 ciflow/inductor/160616      -> ciflow/inductor/160616
2025-08-14T22:30:32.7038271Z  * [new tag]                 ciflow/inductor/160619      -> ciflow/inductor/160619
2025-08-14T22:30:32.7039680Z  * [new tag]                 ciflow/inductor/160625      -> ciflow/inductor/160625
2025-08-14T22:30:32.7041034Z  * [new tag]                 ciflow/inductor/160635      -> ciflow/inductor/160635
2025-08-14T22:30:32.7042484Z  * [new tag]                 ciflow/inductor/160649      -> ciflow/inductor/160649
2025-08-14T22:30:32.7043801Z  * [new tag]                 ciflow/inductor/160658      -> ciflow/inductor/160658
2025-08-14T22:30:32.7045135Z  * [new tag]                 ciflow/inductor/160662      -> ciflow/inductor/160662
2025-08-14T22:30:32.7046456Z  * [new tag]                 ciflow/inductor/160668      -> ciflow/inductor/160668
2025-08-14T22:30:32.7047830Z  * [new tag]                 ciflow/inductor/160669      -> ciflow/inductor/160669
2025-08-14T22:30:32.7049132Z  * [new tag]                 ciflow/inductor/160670      -> ciflow/inductor/160670
2025-08-14T22:30:32.7050653Z  * [new tag]                 ciflow/inductor/160671      -> ciflow/inductor/160671
2025-08-14T22:30:32.7052303Z  * [new tag]                 ciflow/inductor/160677      -> ciflow/inductor/160677
2025-08-14T22:30:32.7053668Z  * [new tag]                 ciflow/inductor/160679      -> ciflow/inductor/160679
2025-08-14T22:30:32.7054976Z  * [new tag]                 ciflow/inductor/160684      -> ciflow/inductor/160684
2025-08-14T22:30:32.7056315Z  * [new tag]                 ciflow/inductor/160685      -> ciflow/inductor/160685
2025-08-14T22:30:32.7057683Z  * [new tag]                 ciflow/inductor/160686      -> ciflow/inductor/160686
2025-08-14T22:30:32.7059013Z  * [new tag]                 ciflow/inductor/160687      -> ciflow/inductor/160687
2025-08-14T22:30:32.7060315Z  * [new tag]                 ciflow/inductor/160688      -> ciflow/inductor/160688
2025-08-14T22:30:32.7061925Z  * [new tag]                 ciflow/inductor/3b9a386     -> ciflow/inductor/3b9a386
2025-08-14T22:30:32.7063464Z  * [new tag]                 ciflow/inductor/3d4b92b     -> ciflow/inductor/3d4b92b
2025-08-14T22:30:32.7064940Z  * [new tag]                 ciflow/inductor/d224ac7     -> ciflow/inductor/d224ac7
2025-08-14T22:30:32.7066607Z  * [new tag]                 ciflow/linux-aarch64/147855 -> ciflow/linux-aarch64/147855
2025-08-14T22:30:32.7067830Z  * [new tag]                 ciflow/linux-aarch64/157994 -> ciflow/linux-aarch64/157994
2025-08-14T22:30:32.7069179Z  * [new tag]                 ciflow/linux-aarch64/159737 -> ciflow/linux-aarch64/159737
2025-08-14T22:30:32.7070082Z  * [new tag]                 ciflow/linux-aarch64/160078 -> ciflow/linux-aarch64/160078
2025-08-14T22:30:32.7071495Z  * [new tag]                 ciflow/linux-aarch64/160299 -> ciflow/linux-aarch64/160299
2025-08-14T22:30:32.7072749Z  * [new tag]                 ciflow/linux-aarch64/160301 -> ciflow/linux-aarch64/160301
2025-08-14T22:30:32.7074241Z  * [new tag]                 ciflow/mps/155923           -> ciflow/mps/155923
2025-08-14T22:30:32.7075455Z  * [new tag]                 ciflow/mps/157553           -> ciflow/mps/157553
2025-08-14T22:30:32.7076651Z  * [new tag]                 ciflow/mps/157635           -> ciflow/mps/157635
2025-08-14T22:30:32.7077851Z  * [new tag]                 ciflow/mps/160541           -> ciflow/mps/160541
2025-08-14T22:30:32.7079407Z  * [new tag]                 ciflow/nightly/156049       -> ciflow/nightly/156049
2025-08-14T22:30:32.7081116Z  * [new tag]                 ciflow/nightly/158104       -> ciflow/nightly/158104
2025-08-14T22:30:32.7082710Z  * [new tag]                 ciflow/op-benchmark/157994  -> ciflow/op-benchmark/157994
2025-08-14T22:30:32.7084318Z  * [new tag]                 ciflow/periodic-rocm-mi300/139971 -> ciflow/periodic-rocm-mi300/139971
2025-08-14T22:30:32.7085596Z  * [new tag]                 ciflow/periodic-rocm-mi300/160073 -> ciflow/periodic-rocm-mi300/160073
2025-08-14T22:30:32.7086554Z  * [new tag]                 ciflow/periodic-rocm-mi300/160538 -> ciflow/periodic-rocm-mi300/160538
2025-08-14T22:30:32.7088510Z  * [new tag]                 ciflow/periodic/054a2fd     -> ciflow/periodic/054a2fd
2025-08-14T22:30:32.7089878Z  * [new tag]                 ciflow/periodic/131296      -> ciflow/periodic/131296
2025-08-14T22:30:32.7091209Z  * [new tag]                 ciflow/periodic/139971      -> ciflow/periodic/139971
2025-08-14T22:30:32.7092497Z  * [new tag]                 ciflow/periodic/143959      -> ciflow/periodic/143959
2025-08-14T22:30:32.7093722Z  * [new tag]                 ciflow/periodic/154595      -> ciflow/periodic/154595
2025-08-14T22:30:32.7094934Z  * [new tag]                 ciflow/periodic/156703      -> ciflow/periodic/156703
2025-08-14T22:30:32.7096184Z  * [new tag]                 ciflow/periodic/160201      -> ciflow/periodic/160201
2025-08-14T22:30:32.7097355Z  * [new tag]                 ciflow/periodic/160424      -> ciflow/periodic/160424
2025-08-14T22:30:32.7098560Z  * [new tag]                 ciflow/periodic/160538      -> ciflow/periodic/160538
2025-08-14T22:30:32.7100798Z  * [new tag]                 ciflow/periodic/1febab2a89302464f6c7d69cfbef7a24c421ea65 -> ciflow/periodic/1febab2a89302464f6c7d69cfbef7a24c421ea65
2025-08-14T22:30:32.7102340Z  * [new tag]                 ciflow/periodic/2a6d37d     -> ciflow/periodic/2a6d37d
2025-08-14T22:30:32.7104209Z  * [new tag]                 ciflow/periodic/2ee22e435131369a7e4f8cc4732579acc29a941b -> ciflow/periodic/2ee22e435131369a7e4f8cc4732579acc29a941b
2025-08-14T22:30:32.7105408Z  * [new tag]                 ciflow/periodic/317eeb8     -> ciflow/periodic/317eeb8
2025-08-14T22:30:32.7106848Z  * [new tag]                 ciflow/periodic/3c32        -> ciflow/periodic/3c32
2025-08-14T22:30:32.7108391Z  * [new tag]                 ciflow/periodic/3e98831     -> ciflow/periodic/3e98831
2025-08-14T22:30:32.7110200Z  * [new tag]                 ciflow/periodic/4a773e1e867f28a8ff0b15203e5cd9548f74fcee -> ciflow/periodic/4a773e1e867f28a8ff0b15203e5cd9548f74fcee
2025-08-14T22:30:32.7111786Z  * [new tag]                 ciflow/periodic/5f5f508aa836a46dfe88857fb223049616b94e93 -> ciflow/periodic/5f5f508aa836a46dfe88857fb223049616b94e93
2025-08-14T22:30:32.7113122Z  * [new tag]                 ciflow/periodic/94512-point -> ciflow/periodic/94512-point
2025-08-14T22:30:32.7115028Z  * [new tag]                 ciflow/periodic/csl/test87519 -> ciflow/periodic/csl/test87519
2025-08-14T22:30:32.7116484Z  * [new tag]                 ciflow/periodic/csltest88275 -> ciflow/periodic/csltest88275
2025-08-14T22:30:32.7118017Z  * [new tag]                 ciflow/periodic/csltest88761 -> ciflow/periodic/csltest88761
2025-08-14T22:30:32.7119865Z  * [new tag]                 ciflow/periodic/d7114f05b10de8e6de81ffc567d63944c3117d51 -> ciflow/periodic/d7114f05b10de8e6de81ffc567d63944c3117d51
2025-08-14T22:30:32.7121227Z  * [new tag]                 ciflow/periodic/release_1.12 -> ciflow/periodic/release_1.12
2025-08-14T22:30:32.7122840Z  * [new tag]                 ciflow/periodic/release_1.12.0 -> ciflow/periodic/release_1.12.0
2025-08-14T22:30:32.7124636Z  * [new tag]                 ciflow/periodic/sha-ec5b83  -> ciflow/periodic/sha-ec5b83
2025-08-14T22:30:32.7128625Z  * [new tag]                 ciflow/rocm-mi300/151360    -> ciflow/rocm-mi300/151360
2025-08-14T22:30:32.7129874Z  * [new tag]                 ciflow/rocm-mi300/159158    -> ciflow/rocm-mi300/159158
2025-08-14T22:30:32.7131104Z  * [new tag]                 ciflow/rocm-mi300/160073    -> ciflow/rocm-mi300/160073
2025-08-14T22:30:32.7132620Z  * [new tag]                 ciflow/rocm-mi300/160468    -> ciflow/rocm-mi300/160468
2025-08-14T22:30:32.7133836Z  * [new tag]                 ciflow/rocm-mi300/160538    -> ciflow/rocm-mi300/160538
2025-08-14T22:30:32.7135573Z  * [new tag]                 ciflow/rocm-mi355/160215    -> ciflow/rocm-mi355/160215
2025-08-14T22:30:32.7137586Z  * [new tag]                 ciflow/rocm/148492          -> ciflow/rocm/148492
2025-08-14T22:30:32.7138837Z  * [new tag]                 ciflow/rocm/151360          -> ciflow/rocm/151360
2025-08-14T22:30:32.7140073Z  * [new tag]                 ciflow/rocm/151845          -> ciflow/rocm/151845
2025-08-14T22:30:32.7141423Z  * [new tag]                 ciflow/rocm/154864          -> ciflow/rocm/154864
2025-08-14T22:30:32.7142759Z  * [new tag]                 ciflow/rocm/156491          -> ciflow/rocm/156491
2025-08-14T22:30:32.7143967Z  * [new tag]                 ciflow/rocm/158219          -> ciflow/rocm/158219
2025-08-14T22:30:32.7145243Z  * [new tag]                 ciflow/rocm/158220          -> ciflow/rocm/158220
2025-08-14T22:30:32.7146456Z  * [new tag]                 ciflow/rocm/158224          -> ciflow/rocm/158224
2025-08-14T22:30:32.7147793Z  * [new tag]                 ciflow/rocm/159158          -> ciflow/rocm/159158
2025-08-14T22:30:32.7149003Z  * [new tag]                 ciflow/rocm/160215          -> ciflow/rocm/160215
2025-08-14T22:30:32.7150254Z  * [new tag]                 ciflow/rocm/160468          -> ciflow/rocm/160468
2025-08-14T22:30:32.7151779Z  * [new tag]                 ciflow/rocm/160538          -> ciflow/rocm/160538
2025-08-14T22:30:32.7153746Z  * [new tag]                 ciflow/rocm/160676          -> ciflow/rocm/160676
2025-08-14T22:30:32.7155321Z  * [new tag]                 ciflow/s390/143959          -> ciflow/s390/143959
2025-08-14T22:30:32.7157076Z  * [new tag]                 ciflow/slow/01c7106         -> ciflow/slow/01c7106
2025-08-14T22:30:32.7158395Z  * [new tag]                 ciflow/slow/0577043         -> ciflow/slow/0577043
2025-08-14T22:30:32.7161101Z  * [new tag]                 ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym -> ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym
2025-08-14T22:30:32.7162265Z  * [new tag]                 ciflow/slow/0e81104         -> ciflow/slow/0e81104
2025-08-14T22:30:32.7163536Z  * [new tag]                 ciflow/slow/154595          -> ciflow/slow/154595
2025-08-14T22:30:32.7165216Z  * [new tag]                 ciflow/slow/1732077         -> ciflow/slow/1732077
2025-08-14T22:30:32.7166433Z  * [new tag]                 ciflow/slow/187eb7c         -> ciflow/slow/187eb7c
2025-08-14T22:30:32.7167843Z  * [new tag]                 ciflow/slow/1faef89         -> ciflow/slow/1faef89
2025-08-14T22:30:32.7169614Z  * [new tag]                 ciflow/slow/3920ec1         -> ciflow/slow/3920ec1
2025-08-14T22:30:32.7171665Z  * [new tag]                 ciflow/slow/3b7c6b2         -> ciflow/slow/3b7c6b2
2025-08-14T22:30:32.7173217Z  * [new tag]                 ciflow/slow/59a3759         -> ciflow/slow/59a3759
2025-08-14T22:30:32.7174883Z  * [new tag]                 ciflow/slow/70ef0bb         -> ciflow/slow/70ef0bb
2025-08-14T22:30:32.7176163Z  * [new tag]                 ciflow/slow/788ff06         -> ciflow/slow/788ff06
2025-08-14T22:30:32.7177949Z  * [new tag]                 ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym -> ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym
2025-08-14T22:30:32.7179152Z  * [new tag]                 ciflow/slow/9d85864         -> ciflow/slow/9d85864
2025-08-14T22:30:32.7180599Z  * [new tag]                 ciflow/slow/9ffad5b         -> ciflow/slow/9ffad5b
2025-08-14T22:30:32.7182162Z  * [new tag]                 ciflow/slow/a206e8b         -> ciflow/slow/a206e8b
2025-08-14T22:30:32.7183610Z  * [new tag]                 ciflow/slow/a837609         -> ciflow/slow/a837609
2025-08-14T22:30:32.7185095Z  * [new tag]                 ciflow/slow/af841f3         -> ciflow/slow/af841f3
2025-08-14T22:30:32.7186980Z  * [new tag]                 ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym -> ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym
2025-08-14T22:30:32.7188226Z  * [new tag]                 ciflow/trunk/131296         -> ciflow/trunk/131296
2025-08-14T22:30:32.7189435Z  * [new tag]                 ciflow/trunk/137400         -> ciflow/trunk/137400
2025-08-14T22:30:32.7190650Z  * [new tag]                 ciflow/trunk/138996         -> ciflow/trunk/138996
2025-08-14T22:30:32.7191993Z  * [new tag]                 ciflow/trunk/139971         -> ciflow/trunk/139971
2025-08-14T22:30:32.7193477Z  * [new tag]                 ciflow/trunk/147360         -> ciflow/trunk/147360
2025-08-14T22:30:32.7194275Z  * [new tag]                 ciflow/trunk/147855         -> ciflow/trunk/147855
2025-08-14T22:30:32.7195653Z  * [new tag]                 ciflow/trunk/148180         -> ciflow/trunk/148180
2025-08-14T22:30:32.7196879Z  * [new tag]                 ciflow/trunk/148328         -> ciflow/trunk/148328
2025-08-14T22:30:32.7198136Z  * [new tag]                 ciflow/trunk/148492         -> ciflow/trunk/148492
2025-08-14T22:30:32.7199605Z  * [new tag]                 ciflow/trunk/150282         -> ciflow/trunk/150282
2025-08-14T22:30:32.7200823Z  * [new tag]                 ciflow/trunk/150302         -> ciflow/trunk/150302
2025-08-14T22:30:32.7202507Z  * [new tag]                 ciflow/trunk/151845         -> ciflow/trunk/151845
2025-08-14T22:30:32.7204129Z  * [new tag]                 ciflow/trunk/152624         -> ciflow/trunk/152624
2025-08-14T22:30:32.7205623Z  * [new tag]                 ciflow/trunk/154193         -> ciflow/trunk/154193
2025-08-14T22:30:32.7206906Z  * [new tag]                 ciflow/trunk/154595         -> ciflow/trunk/154595
2025-08-14T22:30:32.7208216Z  * [new tag]                 ciflow/trunk/154650         -> ciflow/trunk/154650
2025-08-14T22:30:32.7209519Z  * [new tag]                 ciflow/trunk/154694         -> ciflow/trunk/154694
2025-08-14T22:30:32.7210837Z  * [new tag]                 ciflow/trunk/155958         -> ciflow/trunk/155958
2025-08-14T22:30:32.7212306Z  * [new tag]                 ciflow/trunk/156049         -> ciflow/trunk/156049
2025-08-14T22:30:32.7213639Z  * [new tag]                 ciflow/trunk/156703         -> ciflow/trunk/156703
2025-08-14T22:30:32.7214885Z  * [new tag]                 ciflow/trunk/156851         -> ciflow/trunk/156851
2025-08-14T22:30:32.7216234Z  * [new tag]                 ciflow/trunk/157148         -> ciflow/trunk/157148
2025-08-14T22:30:32.7217571Z  * [new tag]                 ciflow/trunk/157152         -> ciflow/trunk/157152
2025-08-14T22:30:32.7218789Z  * [new tag]                 ciflow/trunk/157432         -> ciflow/trunk/157432
2025-08-14T22:30:32.7220162Z  * [new tag]                 ciflow/trunk/157685         -> ciflow/trunk/157685
2025-08-14T22:30:32.7221456Z  * [new tag]                 ciflow/trunk/157689         -> ciflow/trunk/157689
2025-08-14T22:30:32.7222757Z  * [new tag]                 ciflow/trunk/157699         -> ciflow/trunk/157699
2025-08-14T22:30:32.7224388Z  * [new tag]                 ciflow/trunk/157813         -> ciflow/trunk/157813
2025-08-14T22:30:32.7225634Z  * [new tag]                 ciflow/trunk/157994         -> ciflow/trunk/157994
2025-08-14T22:30:32.7226881Z  * [new tag]                 ciflow/trunk/158091         -> ciflow/trunk/158091
2025-08-14T22:30:32.7228187Z  * [new tag]                 ciflow/trunk/158104         -> ciflow/trunk/158104
2025-08-14T22:30:32.7229485Z  * [new tag]                 ciflow/trunk/158219         -> ciflow/trunk/158219
2025-08-14T22:30:32.7230789Z  * [new tag]                 ciflow/trunk/158220         -> ciflow/trunk/158220
2025-08-14T22:30:32.7232084Z  * [new tag]                 ciflow/trunk/158224         -> ciflow/trunk/158224
2025-08-14T22:30:32.7233518Z  * [new tag]                 ciflow/trunk/158529         -> ciflow/trunk/158529
2025-08-14T22:30:32.7234935Z  * [new tag]                 ciflow/trunk/158647         -> ciflow/trunk/158647
2025-08-14T22:30:32.7236239Z  * [new tag]                 ciflow/trunk/158810         -> ciflow/trunk/158810
2025-08-14T22:30:32.7237551Z  * [new tag]                 ciflow/trunk/158812         -> ciflow/trunk/158812
2025-08-14T22:30:32.7238851Z  * [new tag]                 ciflow/trunk/158863         -> ciflow/trunk/158863
2025-08-14T22:30:32.7240162Z  * [new tag]                 ciflow/trunk/158864         -> ciflow/trunk/158864
2025-08-14T22:30:32.7241454Z  * [new tag]                 ciflow/trunk/158883         -> ciflow/trunk/158883
2025-08-14T22:30:32.7242740Z  * [new tag]                 ciflow/trunk/158914         -> ciflow/trunk/158914
2025-08-14T22:30:32.7244045Z  * [new tag]                 ciflow/trunk/158965         -> ciflow/trunk/158965
2025-08-14T22:30:32.7245314Z  * [new tag]                 ciflow/trunk/158987         -> ciflow/trunk/158987
2025-08-14T22:30:32.7246793Z  * [new tag]                 ciflow/trunk/159033         -> ciflow/trunk/159033
2025-08-14T22:30:32.7248686Z  * [new tag]                 ciflow/trunk/159140         -> ciflow/trunk/159140
2025-08-14T22:30:32.7250021Z  * [new tag]                 ciflow/trunk/159158         -> ciflow/trunk/159158
2025-08-14T22:30:32.7251407Z  * [new tag]                 ciflow/trunk/159553         -> ciflow/trunk/159553
2025-08-14T22:30:32.7252866Z  * [new tag]                 ciflow/trunk/159562         -> ciflow/trunk/159562
2025-08-14T22:30:32.7254376Z  * [new tag]                 ciflow/trunk/159682         -> ciflow/trunk/159682
2025-08-14T22:30:32.7255646Z  * [new tag]                 ciflow/trunk/159691         -> ciflow/trunk/159691
2025-08-14T22:30:32.7257006Z  * [new tag]                 ciflow/trunk/159842         -> ciflow/trunk/159842
2025-08-14T22:30:32.7258252Z  * [new tag]                 ciflow/trunk/159889         -> ciflow/trunk/159889
2025-08-14T22:30:32.7259623Z  * [new tag]                 ciflow/trunk/159923         -> ciflow/trunk/159923
2025-08-14T22:30:32.7260900Z  * [new tag]                 ciflow/trunk/160004         -> ciflow/trunk/160004
2025-08-14T22:30:32.7262285Z  * [new tag]                 ciflow/trunk/160113         -> ciflow/trunk/160113
2025-08-14T22:30:32.7263546Z  * [new tag]                 ciflow/trunk/160161         -> ciflow/trunk/160161
2025-08-14T22:30:32.7264843Z  * [new tag]                 ciflow/trunk/160168         -> ciflow/trunk/160168
2025-08-14T22:30:32.7266183Z  * [new tag]                 ciflow/trunk/160181         -> ciflow/trunk/160181
2025-08-14T22:30:32.7267538Z  * [new tag]                 ciflow/trunk/160183         -> ciflow/trunk/160183
2025-08-14T22:30:32.7268818Z  * [new tag]                 ciflow/trunk/160190         -> ciflow/trunk/160190
2025-08-14T22:30:32.7270142Z  * [new tag]                 ciflow/trunk/160198         -> ciflow/trunk/160198
2025-08-14T22:30:32.7271885Z  * [new tag]                 ciflow/trunk/160205         -> ciflow/trunk/160205
2025-08-14T22:30:32.7273056Z  * [new tag]                 ciflow/trunk/160219         -> ciflow/trunk/160219
2025-08-14T22:30:32.7274306Z  * [new tag]                 ciflow/trunk/160224         -> ciflow/trunk/160224
2025-08-14T22:30:32.7275710Z  * [new tag]                 ciflow/trunk/160250         -> ciflow/trunk/160250
2025-08-14T22:30:32.7276929Z  * [new tag]                 ciflow/trunk/160253         -> ciflow/trunk/160253
2025-08-14T22:30:32.7278531Z  * [new tag]                 ciflow/trunk/160335         -> ciflow/trunk/160335
2025-08-14T22:30:32.7279953Z  * [new tag]                 ciflow/trunk/160338         -> ciflow/trunk/160338
2025-08-14T22:30:32.7281261Z  * [new tag]                 ciflow/trunk/160369         -> ciflow/trunk/160369
2025-08-14T22:30:32.7282586Z  * [new tag]                 ciflow/trunk/160383         -> ciflow/trunk/160383
2025-08-14T22:30:32.7283922Z  * [new tag]                 ciflow/trunk/160401         -> ciflow/trunk/160401
2025-08-14T22:30:32.7285248Z  * [new tag]                 ciflow/trunk/160403         -> ciflow/trunk/160403
2025-08-14T22:30:32.7286546Z  * [new tag]                 ciflow/trunk/160430         -> ciflow/trunk/160430
2025-08-14T22:30:32.7287870Z  * [new tag]                 ciflow/trunk/160431         -> ciflow/trunk/160431
2025-08-14T22:30:32.7289346Z  * [new tag]                 ciflow/trunk/160439         -> ciflow/trunk/160439
2025-08-14T22:30:32.7290650Z  * [new tag]                 ciflow/trunk/160449         -> ciflow/trunk/160449
2025-08-14T22:30:32.7292751Z  * [new tag]                 ciflow/trunk/160454         -> ciflow/trunk/160454
2025-08-14T22:30:32.7293501Z  * [new tag]                 ciflow/trunk/160455         -> ciflow/trunk/160455
2025-08-14T22:30:32.7294948Z  * [new tag]                 ciflow/trunk/160468         -> ciflow/trunk/160468
2025-08-14T22:30:32.7296253Z  * [new tag]                 ciflow/trunk/160481         -> ciflow/trunk/160481
2025-08-14T22:30:32.7297532Z  * [new tag]                 ciflow/trunk/160485         -> ciflow/trunk/160485
2025-08-14T22:30:32.7299113Z  * [new tag]                 ciflow/trunk/160519         -> ciflow/trunk/160519
2025-08-14T22:30:32.7300427Z  * [new tag]                 ciflow/trunk/160527         -> ciflow/trunk/160527
2025-08-14T22:30:32.7301713Z  * [new tag]                 ciflow/trunk/160552         -> ciflow/trunk/160552
2025-08-14T22:30:32.7303226Z  * [new tag]                 ciflow/trunk/160560         -> ciflow/trunk/160560
2025-08-14T22:30:32.7304565Z  * [new tag]                 ciflow/trunk/160578         -> ciflow/trunk/160578
2025-08-14T22:30:32.7305876Z  * [new tag]                 ciflow/trunk/160589         -> ciflow/trunk/160589
2025-08-14T22:30:32.7307162Z  * [new tag]                 ciflow/trunk/160592         -> ciflow/trunk/160592
2025-08-14T22:30:32.7308474Z  * [new tag]                 ciflow/trunk/160614         -> ciflow/trunk/160614
2025-08-14T22:30:32.7309792Z  * [new tag]                 ciflow/trunk/160649         -> ciflow/trunk/160649
2025-08-14T22:30:32.7311181Z  * [new tag]                 ciflow/trunk/160656         -> ciflow/trunk/160656
2025-08-14T22:30:32.7312457Z  * [new tag]                 ciflow/trunk/160658         -> ciflow/trunk/160658
2025-08-14T22:30:32.7313907Z  * [new tag]                 ciflow/trunk/160672         -> ciflow/trunk/160672
2025-08-14T22:30:32.7315365Z  * [new tag]                 ciflow/trunk/160675         -> ciflow/trunk/160675
2025-08-14T22:30:32.7317144Z  * [new tag]                 ciflow/unstable/123         -> ciflow/unstable/123
2025-08-14T22:30:32.7318720Z  * [new tag]                 ciflow/vllm/160116          -> ciflow/vllm/160116
2025-08-14T22:30:32.7320001Z  * [new tag]                 ciflow/vllm/160583          -> ciflow/vllm/160583
2025-08-14T22:30:32.7321256Z  * [new tag]                 ciflow/vllm/160619          -> ciflow/vllm/160619
2025-08-14T22:30:32.7322992Z  * [new tag]                 ciflow/vllm/160625          -> ciflow/vllm/160625
2025-08-14T22:30:32.7324054Z  * [new tag]                 ciflow/vllm/160627          -> ciflow/vllm/160627
2025-08-14T22:30:32.7326257Z  * [new tag]                 ciflow/win-arm64/156049     -> ciflow/win-arm64/156049
2025-08-14T22:30:32.7327218Z  * [new tag]                 ciflow/win-arm64/158104     -> ciflow/win-arm64/158104
2025-08-14T22:30:32.7328528Z  * [new tag]                 ciflow/win-arm64/159553     -> ciflow/win-arm64/159553
2025-08-14T22:30:32.7329472Z  * [new tag]                 ciflow/win-arm64/159562     -> ciflow/win-arm64/159562
2025-08-14T22:30:32.7331145Z  * [new tag]                 ciflow/win-arm64/159777     -> ciflow/win-arm64/159777
2025-08-14T22:30:32.7332443Z  * [new tag]                 ciflow/win-arm64/159780     -> ciflow/win-arm64/159780
2025-08-14T22:30:32.7333383Z  * [new tag]                 ciflow/win-arm64/159842     -> ciflow/win-arm64/159842
2025-08-14T22:30:32.7334843Z  * [new tag]                 ciflow/win-arm64/160250     -> ciflow/win-arm64/160250
2025-08-14T22:30:32.7336099Z  * [new tag]                 ciflow/win-arm64/160253     -> ciflow/win-arm64/160253
2025-08-14T22:30:32.7337351Z  * [new tag]                 ciflow/win-arm64/160454     -> ciflow/win-arm64/160454
2025-08-14T22:30:32.7338500Z  * [new tag]                 ciflow/win-arm64/160560     -> ciflow/win-arm64/160560
2025-08-14T22:30:32.7340651Z  * [new tag]                 ciflow/xpu/138996           -> ciflow/xpu/138996
2025-08-14T22:30:32.7341956Z  * [new tag]                 ciflow/xpu/139971           -> ciflow/xpu/139971
2025-08-14T22:30:32.7343247Z  * [new tag]                 ciflow/xpu/140972           -> ciflow/xpu/140972
2025-08-14T22:30:32.7344785Z  * [new tag]                 ciflow/xpu/143553           -> ciflow/xpu/143553
2025-08-14T22:30:32.7346090Z  * [new tag]                 ciflow/xpu/156272           -> ciflow/xpu/156272
2025-08-14T22:30:32.7347358Z  * [new tag]                 ciflow/xpu/156812           -> ciflow/xpu/156812
2025-08-14T22:30:32.7348587Z  * [new tag]                 ciflow/xpu/157699           -> ciflow/xpu/157699
2025-08-14T22:30:32.7349829Z  * [new tag]                 ciflow/xpu/157994           -> ciflow/xpu/157994
2025-08-14T22:30:32.7351065Z  * [new tag]                 ciflow/xpu/158336           -> ciflow/xpu/158336
2025-08-14T22:30:32.7352146Z  * [new tag]                 ciflow/xpu/158733           -> ciflow/xpu/158733
2025-08-14T22:30:32.7353488Z  * [new tag]                 ciflow/xpu/159033           -> ciflow/xpu/159033
2025-08-14T22:30:32.7355094Z  * [new tag]                 ciflow/xpu/159118           -> ciflow/xpu/159118
2025-08-14T22:30:32.7356768Z  * [new tag]                 ciflow/xpu/159140           -> ciflow/xpu/159140
2025-08-14T22:30:32.7358487Z  * [new tag]                 ciflow/xpu/159241           -> ciflow/xpu/159241
2025-08-14T22:30:32.7359841Z  * [new tag]                 ciflow/xpu/159473           -> ciflow/xpu/159473
2025-08-14T22:30:32.7361436Z  * [new tag]                 ciflow/xpu/159474           -> ciflow/xpu/159474
2025-08-14T22:30:32.7362502Z  * [new tag]                 ciflow/xpu/159553           -> ciflow/xpu/159553
2025-08-14T22:30:32.7364040Z  * [new tag]                 ciflow/xpu/159944           -> ciflow/xpu/159944
2025-08-14T22:30:32.7365495Z  * [new tag]                 ciflow/xpu/160062           -> ciflow/xpu/160062
2025-08-14T22:30:32.7366920Z  * [new tag]                 ciflow/xpu/160067           -> ciflow/xpu/160067
2025-08-14T22:30:32.7368364Z  * [new tag]                 ciflow/xpu/160158           -> ciflow/xpu/160158
2025-08-14T22:30:32.7369668Z  * [new tag]                 ciflow/xpu/160173           -> ciflow/xpu/160173
2025-08-14T22:30:32.7370976Z  * [new tag]                 ciflow/xpu/160183           -> ciflow/xpu/160183
2025-08-14T22:30:32.7372503Z  * [new tag]                 ciflow/xpu/160301           -> ciflow/xpu/160301
2025-08-14T22:30:32.7373882Z  * [new tag]                 ciflow/xpu/160403           -> ciflow/xpu/160403
2025-08-14T22:30:32.7375394Z  * [new tag]                 ciflow/xpu/160606           -> ciflow/xpu/160606
2025-08-14T22:30:32.7376752Z  * [new tag]                 cslpull75                   -> cslpull75
2025-08-14T22:30:32.7378095Z  * [new tag]                 cslpull76                   -> cslpull76
2025-08-14T22:30:32.7379663Z  * [new tag]                 cslpull77                   -> cslpull77
2025-08-14T22:30:32.7380746Z  * [new tag]                 cslpull78                   -> cslpull78
2025-08-14T22:30:32.7382435Z  * [new tag]                 cslpull79                   -> cslpull79
2025-08-14T22:30:32.7384143Z  * [new tag]                 cslpull80                   -> cslpull80
2025-08-14T22:30:32.7385644Z  * [new tag]                 cslpull81                   -> cslpull81
2025-08-14T22:30:32.7387059Z  * [new tag]                 cslpull82                   -> cslpull82
2025-08-14T22:30:32.7388510Z  * [new tag]                 cslpull83                   -> cslpull83
2025-08-14T22:30:32.7389909Z  * [new tag]                 cslpull84                   -> cslpull84
2025-08-14T22:30:32.7391270Z  * [new tag]                 cslpull85                   -> cslpull85
2025-08-14T22:30:32.7392687Z  * [new tag]                 cslpull86                   -> cslpull86
2025-08-14T22:30:32.7394091Z  * [new tag]                 cslpull87                   -> cslpull87
2025-08-14T22:30:32.7395567Z  * [new tag]                 cslpull88                   -> cslpull88
2025-08-14T22:30:32.7396860Z  * [new tag]                 cslpull89                   -> cslpull89
2025-08-14T22:30:32.7397978Z  * [new tag]                 cslpull90                   -> cslpull90
2025-08-14T22:30:32.7399824Z  * [new tag]                 cslpull91                   -> cslpull91
2025-08-14T22:30:32.7401188Z  * [new tag]                 cslpull92                   -> cslpull92
2025-08-14T22:30:32.7402577Z  * [new tag]                 flight_5                    -> flight_5
2025-08-14T22:30:32.7404061Z  * [new tag]                 flight_5.1                  -> flight_5.1
2025-08-14T22:30:32.7405530Z  * [new tag]                 flight_5.2                  -> flight_5.2
2025-08-14T22:30:32.7406961Z  * [new tag]                 flight_5.3                  -> flight_5.3
2025-08-14T22:30:32.7408314Z  * [new tag]                 forpull1                    -> forpull1
2025-08-14T22:30:32.7409991Z  * [new tag]                 malfet/tag-2ef5611          -> malfet/tag-2ef5611
2025-08-14T22:30:32.7411410Z  * [new tag]                 malfet/tag-317b1a0          -> malfet/tag-317b1a0
2025-08-14T22:30:32.7412959Z  * [new tag]                 malfet/tag-ec6f767          -> malfet/tag-ec6f767
2025-08-14T22:30:32.7414399Z  * [new tag]                 nightly-binary              -> nightly-binary
2025-08-14T22:30:32.7415629Z  * [new tag]                 sqzhang_flight4_plus        -> sqzhang_flight4_plus
2025-08-14T22:30:32.7417054Z  * [new tag]                 sqzhang_flight_3            -> sqzhang_flight_3
2025-08-14T22:30:32.7419006Z  * [new tag]                 trunk/01584d2a7d029c9749eb73678cf1dc313cc35df6 -> trunk/01584d2a7d029c9749eb73678cf1dc313cc35df6
2025-08-14T22:30:32.7420135Z  * [new tag]                 trunk/017259f9c65b6fad55fb9597d7077e2543eaae46 -> trunk/017259f9c65b6fad55fb9597d7077e2543eaae46
2025-08-14T22:30:32.7422049Z  * [new tag]                 trunk/01bcf9a40dea937637d2cdd530bed2652510943d -> trunk/01bcf9a40dea937637d2cdd530bed2652510943d
2025-08-14T22:30:32.7423832Z  * [new tag]                 trunk/01f66d08d93365015f4af005a252f439c4d4013a -> trunk/01f66d08d93365015f4af005a252f439c4d4013a
2025-08-14T22:30:32.7425311Z  * [new tag]                 trunk/03b254e49f2d4c092e6ca712e5702cf2895aa47e -> trunk/03b254e49f2d4c092e6ca712e5702cf2895aa47e
2025-08-14T22:30:32.7426660Z  * [new tag]                 trunk/05029ad1c30865d3f7e7fd13384db9d826e563eb -> trunk/05029ad1c30865d3f7e7fd13384db9d826e563eb
2025-08-14T22:30:32.7428127Z  * [new tag]                 trunk/05c19d1acecc01b0d2512364183058a6885b9869 -> trunk/05c19d1acecc01b0d2512364183058a6885b9869
2025-08-14T22:30:32.7429582Z  * [new tag]                 trunk/05c417715f791875fbf28cfc3fc86142de1a3206 -> trunk/05c417715f791875fbf28cfc3fc86142de1a3206
2025-08-14T22:30:32.7430996Z  * [new tag]                 trunk/06824f3c7268bb807a422b663047cd0900ddd126 -> trunk/06824f3c7268bb807a422b663047cd0900ddd126
2025-08-14T22:30:32.7432221Z  * [new tag]                 trunk/077cb389746a7d61cfc018aad2ba29a8aa195610 -> trunk/077cb389746a7d61cfc018aad2ba29a8aa195610
2025-08-14T22:30:32.7433785Z  * [new tag]                 trunk/089c4a1ba007ed4abb3e5e0eafd97b7584566057 -> trunk/089c4a1ba007ed4abb3e5e0eafd97b7584566057
2025-08-14T22:30:32.7435339Z  * [new tag]                 trunk/09381f5dacda7bbbfa361f5df76bde5cd309adc1 -> trunk/09381f5dacda7bbbfa361f5df76bde5cd309adc1
2025-08-14T22:30:32.7436857Z  * [new tag]                 trunk/0bd3af4fb87445f4de3a1f9b823e399c8b3cefde -> trunk/0bd3af4fb87445f4de3a1f9b823e399c8b3cefde
2025-08-14T22:30:32.7438282Z  * [new tag]                 trunk/0d3461bac0fb5177e35152d980b301ea3a0aa2c4 -> trunk/0d3461bac0fb5177e35152d980b301ea3a0aa2c4
2025-08-14T22:30:32.7439694Z  * [new tag]                 trunk/0d40ff3b496e68193bc16d5391fa2e3623709f81 -> trunk/0d40ff3b496e68193bc16d5391fa2e3623709f81
2025-08-14T22:30:32.7441198Z  * [new tag]                 trunk/0d71ca2c46753bb268bfdcf815c14415c122a289 -> trunk/0d71ca2c46753bb268bfdcf815c14415c122a289
2025-08-14T22:30:32.7442684Z  * [new tag]                 trunk/0d88593dd826544c9e7bd4aa615ef86847a78d2b -> trunk/0d88593dd826544c9e7bd4aa615ef86847a78d2b
2025-08-14T22:30:32.7444089Z  * [new tag]                 trunk/0e3e377bd5126cfcc69d70c4d77b352d3404cc11 -> trunk/0e3e377bd5126cfcc69d70c4d77b352d3404cc11
2025-08-14T22:30:32.7445519Z  * [new tag]                 trunk/0f3b10b8eebe68e3c75d473d499b87dfe14a2eca -> trunk/0f3b10b8eebe68e3c75d473d499b87dfe14a2eca
2025-08-14T22:30:32.7447163Z  * [new tag]                 trunk/101276f81b4d2a8c31bfd6796b986d4c1bfdf483 -> trunk/101276f81b4d2a8c31bfd6796b986d4c1bfdf483
2025-08-14T22:30:32.7448300Z  * [new tag]                 trunk/1028c5e2d50e121865bf98307e7c035f549a24b2 -> trunk/1028c5e2d50e121865bf98307e7c035f549a24b2
2025-08-14T22:30:32.7450053Z  * [new tag]                 trunk/10bc36fe840cb3510fab84d2ea22663b76702f1e -> trunk/10bc36fe840cb3510fab84d2ea22663b76702f1e
2025-08-14T22:30:32.7451652Z  * [new tag]                 trunk/10e3514c962b58cbbee994257872a626ff76d51b -> trunk/10e3514c962b58cbbee994257872a626ff76d51b
2025-08-14T22:30:32.7453200Z  * [new tag]                 trunk/1128f4c2a822cbe34a9d966306af15097179ffe1 -> trunk/1128f4c2a822cbe34a9d966306af15097179ffe1
2025-08-14T22:30:32.7454617Z  * [new tag]                 trunk/114a6c40434bfb9cfa5abc30e9e34d81300d743e -> trunk/114a6c40434bfb9cfa5abc30e9e34d81300d743e
2025-08-14T22:30:32.7456141Z  * [new tag]                 trunk/118bc97b14c24ac88a4b0c0750a9e7bf93154c76 -> trunk/118bc97b14c24ac88a4b0c0750a9e7bf93154c76
2025-08-14T22:30:32.7457198Z  * [new tag]                 trunk/1196bb1c2e4d5a7edc09f2260e3034132f0c6c91 -> trunk/1196bb1c2e4d5a7edc09f2260e3034132f0c6c91
2025-08-14T22:30:32.7458921Z  * [new tag]                 trunk/11a3565f1872bbad9c253a127e8d4ce7a1b40ec8 -> trunk/11a3565f1872bbad9c253a127e8d4ce7a1b40ec8
2025-08-14T22:30:32.7460414Z  * [new tag]                 trunk/15e49f61643e4c0eef420f0981609709ef55b848 -> trunk/15e49f61643e4c0eef420f0981609709ef55b848
2025-08-14T22:30:32.7461918Z  * [new tag]                 trunk/16d15445f8bd8740095b23de4af89d757af793ca -> trunk/16d15445f8bd8740095b23de4af89d757af793ca
2025-08-14T22:30:32.7463324Z  * [new tag]                 trunk/178515d0ff6833c8e9221482b2a650ab31e00019 -> trunk/178515d0ff6833c8e9221482b2a650ab31e00019
2025-08-14T22:30:32.7464771Z  * [new tag]                 trunk/182efe31dbe43376e7eef7338356aaf94d5bcabe -> trunk/182efe31dbe43376e7eef7338356aaf94d5bcabe
2025-08-14T22:30:32.7466240Z  * [new tag]                 trunk/194fcfcfbdad0add1a1b695321e31a576058f4cf -> trunk/194fcfcfbdad0add1a1b695321e31a576058f4cf
2025-08-14T22:30:32.7467725Z  * [new tag]                 trunk/195b5c2e27eb8f21cbc8ad1e90f42db5a8cfccca -> trunk/195b5c2e27eb8f21cbc8ad1e90f42db5a8cfccca
2025-08-14T22:30:32.7469223Z  * [new tag]                 trunk/198b5fd2d47fa3d5110ceba6827a3b18e0064014 -> trunk/198b5fd2d47fa3d5110ceba6827a3b18e0064014
2025-08-14T22:30:32.7470597Z  * [new tag]                 trunk/199e9abb6a366bbd27c39d1da7c3123b4eea9b5a -> trunk/199e9abb6a366bbd27c39d1da7c3123b4eea9b5a
2025-08-14T22:30:32.7472019Z  * [new tag]                 trunk/19b4283884b2d9b3a0eb364da10b1540d14ab7a7 -> trunk/19b4283884b2d9b3a0eb364da10b1540d14ab7a7
2025-08-14T22:30:32.7473635Z  * [new tag]                 trunk/1c2587119152cec3905647a47c65d3d26619c5a8 -> trunk/1c2587119152cec3905647a47c65d3d26619c5a8
2025-08-14T22:30:32.7475090Z  * [new tag]                 trunk/1c26c53851c212a7c90a325549a72f0571613a8c -> trunk/1c26c53851c212a7c90a325549a72f0571613a8c
2025-08-14T22:30:32.7476658Z  * [new tag]                 trunk/1c2cba17eab2b09d87142883da2bdbdbcf018613 -> trunk/1c2cba17eab2b09d87142883da2bdbdbcf018613
2025-08-14T22:30:32.7478125Z  * [new tag]                 trunk/1d80d697a269234b47ec7ede192faf3bb9b159e3 -> trunk/1d80d697a269234b47ec7ede192faf3bb9b159e3
2025-08-14T22:30:32.7479551Z  * [new tag]                 trunk/1ea688f9a2602fbcde32c0302b822526ca4219dc -> trunk/1ea688f9a2602fbcde32c0302b822526ca4219dc
2025-08-14T22:30:32.7481217Z  * [new tag]                 trunk/1f4057c11ac941fb324386ca594d0a6882185aad -> trunk/1f4057c11ac941fb324386ca594d0a6882185aad
2025-08-14T22:30:32.7482638Z  * [new tag]                 trunk/1fc683cf17c8c673044538d10266c00f92987be2 -> trunk/1fc683cf17c8c673044538d10266c00f92987be2
2025-08-14T22:30:32.7483750Z  * [new tag]                 trunk/1febab2a89302464f6c7d69cfbef7a24c421ea65 -> trunk/1febab2a89302464f6c7d69cfbef7a24c421ea65
2025-08-14T22:30:32.7485414Z  * [new tag]                 trunk/206c1eef6571f906c2792d899a09136b3fce9673 -> trunk/206c1eef6571f906c2792d899a09136b3fce9673
2025-08-14T22:30:32.7486967Z  * [new tag]                 trunk/20bdabbb3c5d6b118a94b2e045c777662563d5bb -> trunk/20bdabbb3c5d6b118a94b2e045c777662563d5bb
2025-08-14T22:30:32.7488231Z  * [new tag]                 trunk/21392c0e06ac2b2621950455975ca6332f0bf641 -> trunk/21392c0e06ac2b2621950455975ca6332f0bf641
2025-08-14T22:30:32.7489648Z  * [new tag]                 trunk/2247aa6d1d43e256255f5c74a781c3190a4387b6 -> trunk/2247aa6d1d43e256255f5c74a781c3190a4387b6
2025-08-14T22:30:32.7490716Z  * [new tag]                 trunk/2259dbed4e0d3f2a8174b5847fd0741aed42451d -> trunk/2259dbed4e0d3f2a8174b5847fd0741aed42451d
2025-08-14T22:30:32.7492548Z  * [new tag]                 trunk/231c72240d80091f099c95e326d3600cba866eee -> trunk/231c72240d80091f099c95e326d3600cba866eee
2025-08-14T22:30:32.7493617Z  * [new tag]                 trunk/24257f5bfaa37795f74d9f64c1b43584128d4b8c -> trunk/24257f5bfaa37795f74d9f64c1b43584128d4b8c
2025-08-14T22:30:32.7495882Z  * [new tag]                 trunk/24f43d0da7ad9c6e95a09a2fee610387728cc1cd -> trunk/24f43d0da7ad9c6e95a09a2fee610387728cc1cd
2025-08-14T22:30:32.7497354Z  * [new tag]                 trunk/2898d3f965e5cd9d02fc2ecdab7c580fd457fea9 -> trunk/2898d3f965e5cd9d02fc2ecdab7c580fd457fea9
2025-08-14T22:30:32.7499380Z  * [new tag]                 trunk/28ccc9e7247798980fe00a11bcd64a8016b5f227 -> trunk/28ccc9e7247798980fe00a11bcd64a8016b5f227
2025-08-14T22:30:32.7500829Z  * [new tag]                 trunk/29712314dd5cf500a8ea3d1c69483a3cb768ca72 -> trunk/29712314dd5cf500a8ea3d1c69483a3cb768ca72
2025-08-14T22:30:32.7502272Z  * [new tag]                 trunk/29d20d49f0b7f4e362e1cefdcdc4b5659969312c -> trunk/29d20d49f0b7f4e362e1cefdcdc4b5659969312c
2025-08-14T22:30:32.7503821Z  * [new tag]                 trunk/2c5e10a5fceb208b11c3d569ae02e348b5893b31 -> trunk/2c5e10a5fceb208b11c3d569ae02e348b5893b31
2025-08-14T22:30:32.7504881Z  * [new tag]                 trunk/2d0cdee394bccadcd0abe19dd4623ed978a331ad -> trunk/2d0cdee394bccadcd0abe19dd4623ed978a331ad
2025-08-14T22:30:32.7506550Z  * [new tag]                 trunk/2e4e5ab4be9e0aeffd9c49b5b2f9f820bd0895b1 -> trunk/2e4e5ab4be9e0aeffd9c49b5b2f9f820bd0895b1
2025-08-14T22:30:32.7508163Z  * [new tag]                 trunk/2ea40fba841b3af8103f332ba62e54f350ba9a51 -> trunk/2ea40fba841b3af8103f332ba62e54f350ba9a51
2025-08-14T22:30:32.7509130Z  * [new tag]                 trunk/2ee22e435131369a7e4f8cc4732579acc29a941b -> trunk/2ee22e435131369a7e4f8cc4732579acc29a941b
2025-08-14T22:30:32.7510902Z  * [new tag]                 trunk/2f4c2226175512af787725c4d5ad7313c60d4db1 -> trunk/2f4c2226175512af787725c4d5ad7313c60d4db1
2025-08-14T22:30:32.7512029Z  * [new tag]                 trunk/3008d985a8fc155eb89374afff50cb33a6bd10d5 -> trunk/3008d985a8fc155eb89374afff50cb33a6bd10d5
2025-08-14T22:30:32.7513745Z  * [new tag]                 trunk/3028fa6ce9d9c96671722ab8213a1a30670d7cf2 -> trunk/3028fa6ce9d9c96671722ab8213a1a30670d7cf2
2025-08-14T22:30:32.7515144Z  * [new tag]                 trunk/303c614f3df95ae2b659c5f6c1838b14e4776ce6 -> trunk/303c614f3df95ae2b659c5f6c1838b14e4776ce6
2025-08-14T22:30:32.7516937Z  * [new tag]                 trunk/305fa2239365ad17ac9c534a68bba8a149c42d67 -> trunk/305fa2239365ad17ac9c534a68bba8a149c42d67
2025-08-14T22:30:32.7518409Z  * [new tag]                 trunk/31c9ac4319c0cc2ed8c6be701c6ccf73f6cb4706 -> trunk/31c9ac4319c0cc2ed8c6be701c6ccf73f6cb4706
2025-08-14T22:30:32.7519899Z  * [new tag]                 trunk/32099961d588fc19ead8afe805d6b5108de75669 -> trunk/32099961d588fc19ead8afe805d6b5108de75669
2025-08-14T22:30:32.7521349Z  * [new tag]                 trunk/32e5e2f596d55bb9441d5d53f3c58bcb55828047 -> trunk/32e5e2f596d55bb9441d5d53f3c58bcb55828047
2025-08-14T22:30:32.7522405Z  * [new tag]                 trunk/334b38ccc4427b1d14981c48a3a0b92180d58225 -> trunk/334b38ccc4427b1d14981c48a3a0b92180d58225
2025-08-14T22:30:32.7524262Z  * [new tag]                 trunk/334ecbd4ffe11858cae7d23d1190ddb4777c2513 -> trunk/334ecbd4ffe11858cae7d23d1190ddb4777c2513
2025-08-14T22:30:32.7525830Z  * [new tag]                 trunk/33d94018668951611b318b7515ae96f04e48eac0 -> trunk/33d94018668951611b318b7515ae96f04e48eac0
2025-08-14T22:30:32.7527364Z  * [new tag]                 trunk/34358f335d95213d96b6cca6a83e7bf3af6a9fcb -> trunk/34358f335d95213d96b6cca6a83e7bf3af6a9fcb
2025-08-14T22:30:32.7528834Z  * [new tag]                 trunk/34ec5ed275f8aa875c80daa97b3e82af0b06f673 -> trunk/34ec5ed275f8aa875c80daa97b3e82af0b06f673
2025-08-14T22:30:32.7530292Z  * [new tag]                 trunk/355462e1278d818deb9ef4a184073d5b66074816 -> trunk/355462e1278d818deb9ef4a184073d5b66074816
2025-08-14T22:30:32.7535618Z  * [new tag]                 trunk/3626ba711b34397d1fbf0a9b1979f85cbf68b919 -> trunk/3626ba711b34397d1fbf0a9b1979f85cbf68b919
2025-08-14T22:30:32.7536658Z  * [new tag]                 trunk/3650989e6e19d8a3d134c22ae7c4659bf8c93785 -> trunk/3650989e6e19d8a3d134c22ae7c4659bf8c93785
2025-08-14T22:30:32.7538347Z  * [new tag]                 trunk/36f46d082a4954921cb8493223f000f2aab79ed7 -> trunk/36f46d082a4954921cb8493223f000f2aab79ed7
2025-08-14T22:30:32.7539797Z  * [new tag]                 trunk/39aa3d1471549b7829c207d634dfdc1d26e346a2 -> trunk/39aa3d1471549b7829c207d634dfdc1d26e346a2
2025-08-14T22:30:32.7541237Z  * [new tag]                 trunk/3a562374401113187ce2566b87e3f1d87d7c53aa -> trunk/3a562374401113187ce2566b87e3f1d87d7c53aa
2025-08-14T22:30:32.7542655Z  * [new tag]                 trunk/3ac86e728dfaa7383ff7f865e9e7d33486188dae -> trunk/3ac86e728dfaa7383ff7f865e9e7d33486188dae
2025-08-14T22:30:32.7543983Z  * [new tag]                 trunk/3be70dc30e893b552fc0f23ca06cd8f7949b6d08 -> trunk/3be70dc30e893b552fc0f23ca06cd8f7949b6d08
2025-08-14T22:30:32.7545485Z  * [new tag]                 trunk/3cec82a7e9aea040a34dd7a2587ae6d3bd65dba0 -> trunk/3cec82a7e9aea040a34dd7a2587ae6d3bd65dba0
2025-08-14T22:30:32.7547003Z  * [new tag]                 trunk/3cf7b4024ef83e44e9ae223dbff7c7ab68240cb2 -> trunk/3cf7b4024ef83e44e9ae223dbff7c7ab68240cb2
2025-08-14T22:30:32.7548326Z  * [new tag]                 trunk/3ef2e1ef769582a82c6ddf150e9d11bf4bf1c44f -> trunk/3ef2e1ef769582a82c6ddf150e9d11bf4bf1c44f
2025-08-14T22:30:32.7549992Z  * [new tag]                 trunk/3f1636ebef9b45e8a3cb0eb20d327ee6acb74be0 -> trunk/3f1636ebef9b45e8a3cb0eb20d327ee6acb74be0
2025-08-14T22:30:32.7551485Z  * [new tag]                 trunk/3faee0a6318afcbbbb48687009a459214910d820 -> trunk/3faee0a6318afcbbbb48687009a459214910d820
2025-08-14T22:30:32.7552912Z  * [new tag]                 trunk/3fcd79e023da7156ac584992ebab29205d3b7881 -> trunk/3fcd79e023da7156ac584992ebab29205d3b7881
2025-08-14T22:30:32.7554432Z  * [new tag]                 trunk/3fe19a7a0af3f4d692af30476c320be18c7e8ae6 -> trunk/3fe19a7a0af3f4d692af30476c320be18c7e8ae6
2025-08-14T22:30:32.7555844Z  * [new tag]                 trunk/41673110cd7c5960824cc74a6fcaeda1a8bc7a23 -> trunk/41673110cd7c5960824cc74a6fcaeda1a8bc7a23
2025-08-14T22:30:32.7557282Z  * [new tag]                 trunk/4183d4ff3dcc1d87400326a9a7998c3f9e966f60 -> trunk/4183d4ff3dcc1d87400326a9a7998c3f9e966f60
2025-08-14T22:30:32.7558496Z  * [new tag]                 trunk/422bd6808bb98cbbac31d157d9c82ad11ba9732d -> trunk/422bd6808bb98cbbac31d157d9c82ad11ba9732d
2025-08-14T22:30:32.7560072Z  * [new tag]                 trunk/42e51cd4b3973a053fcfa80878a3f346fd158e9f -> trunk/42e51cd4b3973a053fcfa80878a3f346fd158e9f
2025-08-14T22:30:32.7561614Z  * [new tag]                 trunk/4416433c7c625127b7f975c92f8ec98ea4c67fd3 -> trunk/4416433c7c625127b7f975c92f8ec98ea4c67fd3
2025-08-14T22:30:32.7562944Z  * [new tag]                 trunk/45ba7ecda876685b083cbbe932450560c566826b -> trunk/45ba7ecda876685b083cbbe932450560c566826b
2025-08-14T22:30:32.7564683Z  * [new tag]                 trunk/47a1db823dfcdacdb99f317428fc3791a18c5812 -> trunk/47a1db823dfcdacdb99f317428fc3791a18c5812
2025-08-14T22:30:32.7565737Z  * [new tag]                 trunk/4a773e1e867f28a8ff0b15203e5cd9548f74fcee -> trunk/4a773e1e867f28a8ff0b15203e5cd9548f74fcee
2025-08-14T22:30:32.7567411Z  * [new tag]                 trunk/4a90dc0c1f68d1f98832b169f792ed1bb195a0f3 -> trunk/4a90dc0c1f68d1f98832b169f792ed1bb195a0f3
2025-08-14T22:30:32.7568860Z  * [new tag]                 trunk/4cde0acc0e4e795e1a12cbdd9b93c8c04c1fa05d -> trunk/4cde0acc0e4e795e1a12cbdd9b93c8c04c1fa05d
2025-08-14T22:30:32.7570312Z  * [new tag]                 trunk/4d419a74610c32b1372f8802dcc61893740a23cf -> trunk/4d419a74610c32b1372f8802dcc61893740a23cf
2025-08-14T22:30:32.7571905Z  * [new tag]                 trunk/4d5b3f2d5af7c8e4f41da4ffca53fafe8bb86235 -> trunk/4d5b3f2d5af7c8e4f41da4ffca53fafe8bb86235
2025-08-14T22:30:32.7573465Z  * [new tag]                 trunk/4e2ddb5db67617f9f5309c8bba0c17adc84cadbc -> trunk/4e2ddb5db67617f9f5309c8bba0c17adc84cadbc
2025-08-14T22:30:32.7575016Z  * [new tag]                 trunk/50a8c118754a6c5a46968f5c8e215ccba6831d42 -> trunk/50a8c118754a6c5a46968f5c8e215ccba6831d42
2025-08-14T22:30:32.7576510Z  * [new tag]                 trunk/50f23ff6f883db5021dd6bab4c146434f98dd15d -> trunk/50f23ff6f883db5021dd6bab4c146434f98dd15d
2025-08-14T22:30:32.7577944Z  * [new tag]                 trunk/515cb70367e84fcbad23fcc5b39eb1d7706df2aa -> trunk/515cb70367e84fcbad23fcc5b39eb1d7706df2aa
2025-08-14T22:30:32.7579453Z  * [new tag]                 trunk/53e39494958b7e2278cc8176f63636e812e8945f -> trunk/53e39494958b7e2278cc8176f63636e812e8945f
2025-08-14T22:30:32.7580507Z  * [new tag]                 trunk/556e2a73f4f0643f7c2aeb5c7dddda43388a40ce -> trunk/556e2a73f4f0643f7c2aeb5c7dddda43388a40ce
2025-08-14T22:30:32.7582256Z  * [new tag]                 trunk/5665dc9ab76b84d7c90d845ffb0f6349b3621919 -> trunk/5665dc9ab76b84d7c90d845ffb0f6349b3621919
2025-08-14T22:30:32.7583391Z  * [new tag]                 trunk/566c6d52ef1411c8262d7b9cf85e2044fdfbe1a3 -> trunk/566c6d52ef1411c8262d7b9cf85e2044fdfbe1a3
2025-08-14T22:30:32.7585041Z  * [new tag]                 trunk/56c828bef93eada0e18d2cc013207831ca80cc99 -> trunk/56c828bef93eada0e18d2cc013207831ca80cc99
2025-08-14T22:30:32.7586506Z  * [new tag]                 trunk/5737372862253a0ac0292407a5844796f02380ad -> trunk/5737372862253a0ac0292407a5844796f02380ad
2025-08-14T22:30:32.7587987Z  * [new tag]                 trunk/57f738b6357cc8fcdde479a0948e723809a1a44d -> trunk/57f738b6357cc8fcdde479a0948e723809a1a44d
2025-08-14T22:30:32.7589434Z  * [new tag]                 trunk/5a40c5784482255b9baf14086cc4b9349fc6d512 -> trunk/5a40c5784482255b9baf14086cc4b9349fc6d512
2025-08-14T22:30:32.7590846Z  * [new tag]                 trunk/5a9c4cfce42b9eb87da0de40c5633f083115c307 -> trunk/5a9c4cfce42b9eb87da0de40c5633f083115c307
2025-08-14T22:30:32.7592403Z  * [new tag]                 trunk/5ace061254af71aa83d1baae81aa1864c9746add -> trunk/5ace061254af71aa83d1baae81aa1864c9746add
2025-08-14T22:30:32.7593451Z  * [new tag]                 trunk/5dddcd5b07c6644efca8d613f4eca1dc95daa87f -> trunk/5dddcd5b07c6644efca8d613f4eca1dc95daa87f
2025-08-14T22:30:32.7595150Z  * [new tag]                 trunk/5ed4f9177907fe403ec4c4499d0d0e9be6b68fcf -> trunk/5ed4f9177907fe403ec4c4499d0d0e9be6b68fcf
2025-08-14T22:30:32.7597215Z  * [new tag]                 trunk/5f1010fbb3850d99c8fdf9a9de2f79260cdc586a -> trunk/5f1010fbb3850d99c8fdf9a9de2f79260cdc586a
2025-08-14T22:30:32.7598292Z  * [new tag]                 trunk/5f5f508aa836a46dfe88857fb223049616b94e93 -> trunk/5f5f508aa836a46dfe88857fb223049616b94e93
2025-08-14T22:30:32.7600016Z  * [new tag]                 trunk/62bac0798100e0e06a86b7a4cee1788413e3d0ca -> trunk/62bac0798100e0e06a86b7a4cee1788413e3d0ca
2025-08-14T22:30:32.7601436Z  * [new tag]                 trunk/63654ba4c5178fd12220cfc9d1c878af2fdd07cc -> trunk/63654ba4c5178fd12220cfc9d1c878af2fdd07cc
2025-08-14T22:30:32.7602921Z  * [new tag]                 trunk/639778b3ee3b80e0894367fdc4442b58ae1b3a62 -> trunk/639778b3ee3b80e0894367fdc4442b58ae1b3a62
2025-08-14T22:30:32.7604369Z  * [new tag]                 trunk/641ee7478150f26969968f49d8b358e199679a8a -> trunk/641ee7478150f26969968f49d8b358e199679a8a
2025-08-14T22:30:32.7606147Z  * [new tag]                 trunk/65053c03a3d209060cb239d20a229dac37cf9dd1 -> trunk/65053c03a3d209060cb239d20a229dac37cf9dd1
2025-08-14T22:30:32.7607639Z  * [new tag]                 trunk/652a6f5954d039d61dc6e6575ccf89d385d74537 -> trunk/652a6f5954d039d61dc6e6575ccf89d385d74537
2025-08-14T22:30:32.7609090Z  * [new tag]                 trunk/685f15dbea66e8ffa8564752f81ad2f6cb447a14 -> trunk/685f15dbea66e8ffa8564752f81ad2f6cb447a14
2025-08-14T22:30:32.7610165Z  * [new tag]                 trunk/68a4b4b2e336cfd4451ce6546d900568e5ddf96c -> trunk/68a4b4b2e336cfd4451ce6546d900568e5ddf96c
2025-08-14T22:30:32.7612142Z  * [new tag]                 trunk/69a0a9aa7f5e320a02e97fa789d2f72baff1554f -> trunk/69a0a9aa7f5e320a02e97fa789d2f72baff1554f
2025-08-14T22:30:32.7613800Z  * [new tag]                 trunk/6be6d06295c870c77a6eb69f96b3170d983520d5 -> trunk/6be6d06295c870c77a6eb69f96b3170d983520d5
2025-08-14T22:30:32.7614887Z  * [new tag]                 trunk/6c05ea6475beaf3acc05e1bda0f3f8fe3bdc1d49 -> trunk/6c05ea6475beaf3acc05e1bda0f3f8fe3bdc1d49
2025-08-14T22:30:32.7616639Z  * [new tag]                 trunk/6da11d9aafc0d84dc7f66030c181608ff2614f66 -> trunk/6da11d9aafc0d84dc7f66030c181608ff2614f66
2025-08-14T22:30:32.7618121Z  * [new tag]                 trunk/6e8865fbc161270e2ffc52817e6c667df417a3f7 -> trunk/6e8865fbc161270e2ffc52817e6c667df417a3f7
2025-08-14T22:30:32.7619431Z  * [new tag]                 trunk/6ea8376f84232048d6be0f7b2edf82aec1b61d58 -> trunk/6ea8376f84232048d6be0f7b2edf82aec1b61d58
2025-08-14T22:30:32.7621212Z  * [new tag]                 trunk/6ee175195ac7853734d64704171993cc6265eb38 -> trunk/6ee175195ac7853734d64704171993cc6265eb38
2025-08-14T22:30:32.7622633Z  * [new tag]                 trunk/6f0f4e0c3eacd479864319127915f869f64e1935 -> trunk/6f0f4e0c3eacd479864319127915f869f64e1935
2025-08-14T22:30:32.7623885Z  * [new tag]                 trunk/70ccdec44b89e355a2cb03ba14a634284f7750f8 -> trunk/70ccdec44b89e355a2cb03ba14a634284f7750f8
2025-08-14T22:30:32.7628180Z  * [new tag]                 trunk/72009ec6bebca7714f99c18449183787f202af4d -> trunk/72009ec6bebca7714f99c18449183787f202af4d
2025-08-14T22:30:32.7629641Z  * [new tag]                 trunk/731ee31f7b6ba19307daab323f6196172b71aaf8 -> trunk/731ee31f7b6ba19307daab323f6196172b71aaf8
2025-08-14T22:30:32.7631181Z  * [new tag]                 trunk/76a0609b6bddb2bc40f1eb4ade12885023653d59 -> trunk/76a0609b6bddb2bc40f1eb4ade12885023653d59
2025-08-14T22:30:32.7632607Z  * [new tag]                 trunk/781e9a7724c47496e3d38a81e6dd6194cf098c41 -> trunk/781e9a7724c47496e3d38a81e6dd6194cf098c41
2025-08-14T22:30:32.7633857Z  * [new tag]                 trunk/78a2fe1d42edeaa2ef7020b0fa0ac82ee4a640e4 -> trunk/78a2fe1d42edeaa2ef7020b0fa0ac82ee4a640e4
2025-08-14T22:30:32.7635617Z  * [new tag]                 trunk/7a974a88f2c529a614baeabe4debd00fc8a3b299 -> trunk/7a974a88f2c529a614baeabe4debd00fc8a3b299
2025-08-14T22:30:32.7637069Z  * [new tag]                 trunk/7ae0629d64b404e0ef5d9c931433ad25e65d6114 -> trunk/7ae0629d64b404e0ef5d9c931433ad25e65d6114
2025-08-14T22:30:32.7638622Z  * [new tag]                 trunk/7d2ec704e47f4b740cdecda5534b305e8e1875ef -> trunk/7d2ec704e47f4b740cdecda5534b305e8e1875ef
2025-08-14T22:30:32.7640081Z  * [new tag]                 trunk/7d87e358ac8440f666fabbfd99058bb5342be6ac -> trunk/7d87e358ac8440f666fabbfd99058bb5342be6ac
2025-08-14T22:30:32.7641551Z  * [new tag]                 trunk/7e27347fd353928c99620495c8c531a5eba7d56b -> trunk/7e27347fd353928c99620495c8c531a5eba7d56b
2025-08-14T22:30:32.7643153Z  * [new tag]                 trunk/7e91394955721c77645fcdb75a5d47a255d65020 -> trunk/7e91394955721c77645fcdb75a5d47a255d65020
2025-08-14T22:30:32.7644676Z  * [new tag]                 trunk/7f4cb4a3e018a621add2a37a3a2f67b982d51001 -> trunk/7f4cb4a3e018a621add2a37a3a2f67b982d51001
2025-08-14T22:30:32.7646154Z  * [new tag]                 trunk/7fbc22855c17741ae016992803b2e147a13aa22d -> trunk/7fbc22855c17741ae016992803b2e147a13aa22d
2025-08-14T22:30:32.7647733Z  * [new tag]                 trunk/8047421fbb607d70ede13b9cd5a60b7b8bdfe348 -> trunk/8047421fbb607d70ede13b9cd5a60b7b8bdfe348
2025-08-14T22:30:32.7649196Z  * [new tag]                 trunk/8088cfa592504a2897b4c78f8a46fe658ab5c2c2 -> trunk/8088cfa592504a2897b4c78f8a46fe658ab5c2c2
2025-08-14T22:30:32.7650679Z  * [new tag]                 trunk/80cca8307943ba64168208b54028f55b2c71daff -> trunk/80cca8307943ba64168208b54028f55b2c71daff
2025-08-14T22:30:32.7652312Z  * [new tag]                 trunk/8147370733bbdcd034cad54e9212e51885a11892 -> trunk/8147370733bbdcd034cad54e9212e51885a11892
2025-08-14T22:30:32.7653847Z  * [new tag]                 trunk/83875cdb5594ccb3c9206b8eb5745fe1d011cf26 -> trunk/83875cdb5594ccb3c9206b8eb5745fe1d011cf26
2025-08-14T22:30:32.7655268Z  * [new tag]                 trunk/8399cf88ce8399d2be93355f29d4cb69f51c0654 -> trunk/8399cf88ce8399d2be93355f29d4cb69f51c0654
2025-08-14T22:30:32.7656790Z  * [new tag]                 trunk/842cc77ab9aafd518593c2fce077d6abb42a5b7f -> trunk/842cc77ab9aafd518593c2fce077d6abb42a5b7f
2025-08-14T22:30:32.7658241Z  * [new tag]                 trunk/85db508af533649d0b3447ff3f0d5fe083150c84 -> trunk/85db508af533649d0b3447ff3f0d5fe083150c84
2025-08-14T22:30:32.7659577Z  * [new tag]                 trunk/86eb65f7f06016bcd5d7951dc9d74bc3993a827a -> trunk/86eb65f7f06016bcd5d7951dc9d74bc3993a827a
2025-08-14T22:30:32.7661014Z  * [new tag]                 trunk/87e6c4079d8ec7d04aff00ed82096b39836a8367 -> trunk/87e6c4079d8ec7d04aff00ed82096b39836a8367
2025-08-14T22:30:32.7662566Z  * [new tag]                 trunk/89654db1abccf7e5f261989a150db4d1619ea2aa -> trunk/89654db1abccf7e5f261989a150db4d1619ea2aa
2025-08-14T22:30:32.7663676Z  * [new tag]                 trunk/8a37f0c90392a2c38b7c5955471fa49edcaf5cb1 -> trunk/8a37f0c90392a2c38b7c5955471fa49edcaf5cb1
2025-08-14T22:30:32.7665477Z  * [new tag]                 trunk/8ab5868a2199fe485c2d66533b9244ccb97e487d -> trunk/8ab5868a2199fe485c2d66533b9244ccb97e487d
2025-08-14T22:30:32.7666983Z  * [new tag]                 trunk/8ae4d2652f64b8444b3d5314b9232bd2119bcde6 -> trunk/8ae4d2652f64b8444b3d5314b9232bd2119bcde6
2025-08-14T22:30:32.7668411Z  * [new tag]                 trunk/8c41cb800ae0411f02ea5da34bd5ccc3790633b0 -> trunk/8c41cb800ae0411f02ea5da34bd5ccc3790633b0
2025-08-14T22:30:32.7669960Z  * [new tag]                 trunk/8cb91e20bc205b1416648d0ffd98d1ba1f3a6fc4 -> trunk/8cb91e20bc205b1416648d0ffd98d1ba1f3a6fc4
2025-08-14T22:30:32.7671461Z  * [new tag]                 trunk/8cfaf51d4e29c9bd9f49ecc98d955ed53df1a13d -> trunk/8cfaf51d4e29c9bd9f49ecc98d955ed53df1a13d
2025-08-14T22:30:32.7672901Z  * [new tag]                 trunk/8d1cf529229dce7cd5ea04abb0faac83b87ca6d1 -> trunk/8d1cf529229dce7cd5ea04abb0faac83b87ca6d1
2025-08-14T22:30:32.7674023Z  * [new tag]                 trunk/8d3d1c844303cb1d46123a1caa76d4cf83973347 -> trunk/8d3d1c844303cb1d46123a1caa76d4cf83973347
2025-08-14T22:30:32.7675743Z  * [new tag]                 trunk/8d6d3246316e1767a57d5e855acd6208da753b75 -> trunk/8d6d3246316e1767a57d5e855acd6208da753b75
2025-08-14T22:30:32.7677249Z  * [new tag]                 trunk/8e6a3138581152ab827a0997f34c470271399f5e -> trunk/8e6a3138581152ab827a0997f34c470271399f5e
2025-08-14T22:30:32.7678815Z  * [new tag]                 trunk/8eee08d2279b98af2522debb6512d37e837e89e3 -> trunk/8eee08d2279b98af2522debb6512d37e837e89e3
2025-08-14T22:30:32.7680261Z  * [new tag]                 trunk/90b78ee50f73b5c963996076a3d54b74b1b965be -> trunk/90b78ee50f73b5c963996076a3d54b74b1b965be
2025-08-14T22:30:32.7681367Z  * [new tag]                 trunk/94b91a876327820a4bb6f5d39d156f13f2553ab6 -> trunk/94b91a876327820a4bb6f5d39d156f13f2553ab6
2025-08-14T22:30:32.7683344Z  * [new tag]                 trunk/95210cc409dd578988c7116b47725c304dea54c7 -> trunk/95210cc409dd578988c7116b47725c304dea54c7
2025-08-14T22:30:32.7684666Z  * [new tag]                 trunk/96bd33b2de79598566df395f32e27c4d33673f05 -> trunk/96bd33b2de79598566df395f32e27c4d33673f05
2025-08-14T22:30:32.7686225Z  * [new tag]                 trunk/9708fcf92db88b80b9010c68662d634434da3106 -> trunk/9708fcf92db88b80b9010c68662d634434da3106
2025-08-14T22:30:32.7687694Z  * [new tag]                 trunk/97c8c98f8dcb9c5c188b691d156e0043dba6c7f8 -> trunk/97c8c98f8dcb9c5c188b691d156e0043dba6c7f8
2025-08-14T22:30:32.7689186Z  * [new tag]                 trunk/9903ca4f70bdc1653016256f5b4fd74fdfc609f8 -> trunk/9903ca4f70bdc1653016256f5b4fd74fdfc609f8
2025-08-14T22:30:32.7690702Z  * [new tag]                 trunk/99bc2f94c1955657e950ebdad5f77e518785ccbd -> trunk/99bc2f94c1955657e950ebdad5f77e518785ccbd
2025-08-14T22:30:32.7692296Z  * [new tag]                 trunk/9a06e6d0310da9d8a59ae05e8ec9c0201b55cacd -> trunk/9a06e6d0310da9d8a59ae05e8ec9c0201b55cacd
2025-08-14T22:30:32.7693763Z  * [new tag]                 trunk/9a0f7a3bb01b235ea04581ee540970a098071b72 -> trunk/9a0f7a3bb01b235ea04581ee540970a098071b72
2025-08-14T22:30:32.7695881Z  * [new tag]                 trunk/9b803cdbe298009f08340c1aaccb25aafbca95d8 -> trunk/9b803cdbe298009f08340c1aaccb25aafbca95d8
2025-08-14T22:30:32.7697491Z  * [new tag]                 trunk/9ccd0f5e31ea54fcf42101dfbaacc103494e34df -> trunk/9ccd0f5e31ea54fcf42101dfbaacc103494e34df
2025-08-14T22:30:32.7698952Z  * [new tag]                 trunk/9d37c960a4fc44d5ac334ca8bf775f85b95d76fc -> trunk/9d37c960a4fc44d5ac334ca8bf775f85b95d76fc
2025-08-14T22:30:32.7700504Z  * [new tag]                 trunk/9e07673deb212c87b1c6fea23799a97474c476ed -> trunk/9e07673deb212c87b1c6fea23799a97474c476ed
2025-08-14T22:30:32.7701580Z  * [new tag]                 trunk/9eedd2a20b64302d0d116ea2802b50948d2ebb09 -> trunk/9eedd2a20b64302d0d116ea2802b50948d2ebb09
2025-08-14T22:30:32.7703315Z  * [new tag]                 trunk/9fa8ce26cf638504469852cbc3e7d04579fc8674 -> trunk/9fa8ce26cf638504469852cbc3e7d04579fc8674
2025-08-14T22:30:32.7704877Z  * [new tag]                 trunk/a06ec54d40013c97fbffc174ea8f524ea5a95715 -> trunk/a06ec54d40013c97fbffc174ea8f524ea5a95715
2025-08-14T22:30:32.7706355Z  * [new tag]                 trunk/a288b15ea9f87ddd665f249d492e0fb0861f5a69 -> trunk/a288b15ea9f87ddd665f249d492e0fb0861f5a69
2025-08-14T22:30:32.7707838Z  * [new tag]                 trunk/a2fd106d670bb4990cebfd00f25ecbae4145e76c -> trunk/a2fd106d670bb4990cebfd00f25ecbae4145e76c
2025-08-14T22:30:32.7709471Z  * [new tag]                 trunk/a354fa91e26b376d96385a2206c5ff5b42aa4600 -> trunk/a354fa91e26b376d96385a2206c5ff5b42aa4600
2025-08-14T22:30:32.7710961Z  * [new tag]                 trunk/a4f69a5da08eace1c1e6469dec6a18aa842da73b -> trunk/a4f69a5da08eace1c1e6469dec6a18aa842da73b
2025-08-14T22:30:32.7712453Z  * [new tag]                 trunk/a53d14d5f846ac44f6c205abb1c5bc4d2f3126ae -> trunk/a53d14d5f846ac44f6c205abb1c5bc4d2f3126ae
2025-08-14T22:30:32.7713838Z  * [new tag]                 trunk/a5652407e4f3d772fc44486ac2abf756decf0861 -> trunk/a5652407e4f3d772fc44486ac2abf756decf0861
2025-08-14T22:30:32.7715624Z  * [new tag]                 trunk/a7abf57aabec0ce686092e2d66e53ba185dbc56b -> trunk/a7abf57aabec0ce686092e2d66e53ba185dbc56b
2025-08-14T22:30:32.7717117Z  * [new tag]                 trunk/a84b60c0c4016785fd93b7b8a0c04f2d0770d332 -> trunk/a84b60c0c4016785fd93b7b8a0c04f2d0770d332
2025-08-14T22:30:32.7718663Z  * [new tag]                 trunk/aa75e917bdb0f95bb6dee81853c2d3c4ab3e1883 -> trunk/aa75e917bdb0f95bb6dee81853c2d3c4ab3e1883
2025-08-14T22:30:32.7720167Z  * [new tag]                 trunk/adcca7d9a1c053495e99012de801b2ea237faad0 -> trunk/adcca7d9a1c053495e99012de801b2ea237faad0
2025-08-14T22:30:32.7721654Z  * [new tag]                 trunk/af10f1f86cc4effc93142a447693d8be55966615 -> trunk/af10f1f86cc4effc93142a447693d8be55966615
2025-08-14T22:30:32.7723291Z  * [new tag]                 trunk/af3cabc55d5699f4da528e1ca39d83338f84ae8c -> trunk/af3cabc55d5699f4da528e1ca39d83338f84ae8c
2025-08-14T22:30:32.7724845Z  * [new tag]                 trunk/b0df7715e8c590c0001d1f9cdb97057be80c9107 -> trunk/b0df7715e8c590c0001d1f9cdb97057be80c9107
2025-08-14T22:30:32.7726441Z  * [new tag]                 trunk/b149c7204c218e7c4d6594a89dd74f72bd480ec5 -> trunk/b149c7204c218e7c4d6594a89dd74f72bd480ec5
2025-08-14T22:30:32.7728129Z  * [new tag]                 trunk/b1a602762e6a6674b406a3137e7e7a678885a97b -> trunk/b1a602762e6a6674b406a3137e7e7a678885a97b
2025-08-14T22:30:32.7729460Z  * [new tag]                 trunk/b1f43548cad8fc0e30bda250f6e196310fa7a4bc -> trunk/b1f43548cad8fc0e30bda250f6e196310fa7a4bc
2025-08-14T22:30:32.7731000Z  * [new tag]                 trunk/b219ca2a00a305753c4f1ea4c9c5d23243d54753 -> trunk/b219ca2a00a305753c4f1ea4c9c5d23243d54753
2025-08-14T22:30:32.7732669Z  * [new tag]                 trunk/b4596895b9d85a686c2cb978938b0a7797b3690a -> trunk/b4596895b9d85a686c2cb978938b0a7797b3690a
2025-08-14T22:30:32.7734479Z  * [new tag]                 trunk/b5fd7223b1bf44720dc9183bda7dfcf7aeccff02 -> trunk/b5fd7223b1bf44720dc9183bda7dfcf7aeccff02
2025-08-14T22:30:32.7735489Z  * [new tag]                 trunk/b602ea9cab7d43a7ee7b4051227090f23fbd3dbf -> trunk/b602ea9cab7d43a7ee7b4051227090f23fbd3dbf
2025-08-14T22:30:32.7737357Z  * [new tag]                 trunk/b6b74aed604bd2e96389ff99aaaf39abc64fdc64 -> trunk/b6b74aed604bd2e96389ff99aaaf39abc64fdc64
2025-08-14T22:30:32.7738831Z  * [new tag]                 trunk/b7db86600a2614adc71c92ca42d359a7ac534d78 -> trunk/b7db86600a2614adc71c92ca42d359a7ac534d78
2025-08-14T22:30:32.7740275Z  * [new tag]                 trunk/b9003ed3d87699e81e436719625a21996a6654e5 -> trunk/b9003ed3d87699e81e436719625a21996a6654e5
2025-08-14T22:30:32.7741664Z  * [new tag]                 trunk/b90feeac86bda00afc2789321bcd706015ff44e3 -> trunk/b90feeac86bda00afc2789321bcd706015ff44e3
2025-08-14T22:30:32.7743875Z  * [new tag]                 trunk/b9d7de3a094598c3dc0dd52e57bce30eb684c9d8 -> trunk/b9d7de3a094598c3dc0dd52e57bce30eb684c9d8
2025-08-14T22:30:32.7745485Z  * [new tag]                 trunk/ba47821f524eee50a214ed39fa2e7765d54aabf4 -> trunk/ba47821f524eee50a214ed39fa2e7765d54aabf4
2025-08-14T22:30:32.7746965Z  * [new tag]                 trunk/ba4ccf5d67e3d237f435eacc2bce3c6025f08491 -> trunk/ba4ccf5d67e3d237f435eacc2bce3c6025f08491
2025-08-14T22:30:32.7748478Z  * [new tag]                 trunk/bcf23ecc476df2bd7479f142567213e2623308ee -> trunk/bcf23ecc476df2bd7479f142567213e2623308ee
2025-08-14T22:30:32.7749990Z  * [new tag]                 trunk/be53f609aaf6f01e2863f490975ea9eaac3ee9ff -> trunk/be53f609aaf6f01e2863f490975ea9eaac3ee9ff
2025-08-14T22:30:32.7751507Z  * [new tag]                 trunk/beb4d7816dedc67a5de1f82e5a45b5910f407941 -> trunk/beb4d7816dedc67a5de1f82e5a45b5910f407941
2025-08-14T22:30:32.7753059Z  * [new tag]                 trunk/bfc873d02ec413344717493e4175a902921359fd -> trunk/bfc873d02ec413344717493e4175a902921359fd
2025-08-14T22:30:32.7754670Z  * [new tag]                 trunk/c184cb3852f0ff2d16a489d61abc3739c309e6ca -> trunk/c184cb3852f0ff2d16a489d61abc3739c309e6ca
2025-08-14T22:30:32.7756101Z  * [new tag]                 trunk/c24ca7f4bf79f62fd623d76346ca27e53f731431 -> trunk/c24ca7f4bf79f62fd623d76346ca27e53f731431
2025-08-14T22:30:32.7757559Z  * [new tag]                 trunk/c3dc8dc4122977893004c49d10e4676cd0a97da4 -> trunk/c3dc8dc4122977893004c49d10e4676cd0a97da4
2025-08-14T22:30:32.7759080Z  * [new tag]                 trunk/c5ec5458a547f7a774468ea0eb2258d3de596492 -> trunk/c5ec5458a547f7a774468ea0eb2258d3de596492
2025-08-14T22:30:32.7760608Z  * [new tag]                 trunk/c5efc5c8a66eca84865015058b3221013ebfe685 -> trunk/c5efc5c8a66eca84865015058b3221013ebfe685
2025-08-14T22:30:32.7762089Z  * [new tag]                 trunk/c6563341208003f64c131854a9cf029555f786d2 -> trunk/c6563341208003f64c131854a9cf029555f786d2
2025-08-14T22:30:32.7763631Z  * [new tag]                 trunk/c6d78d4dbda53837d298d23a5fbc09af90a42d9e -> trunk/c6d78d4dbda53837d298d23a5fbc09af90a42d9e
2025-08-14T22:30:32.7765081Z  * [new tag]                 trunk/c8205cb35435f39d2c26f6c94b45e4adeb6dcb23 -> trunk/c8205cb35435f39d2c26f6c94b45e4adeb6dcb23
2025-08-14T22:30:32.7766632Z  * [new tag]                 trunk/c859ba7114b1fcb49527e090745fa17091d1f8d5 -> trunk/c859ba7114b1fcb49527e090745fa17091d1f8d5
2025-08-14T22:30:32.7768214Z  * [new tag]                 trunk/c86040a8e68f754b90a84099187d3624954c7f36 -> trunk/c86040a8e68f754b90a84099187d3624954c7f36
2025-08-14T22:30:32.7769706Z  * [new tag]                 trunk/c9671dc865aa0fc1cb86df754e355b44d8e02bb4 -> trunk/c9671dc865aa0fc1cb86df754e355b44d8e02bb4
2025-08-14T22:30:32.7771483Z  * [new tag]                 trunk/ca7315c17162ea21b1ca5ba23f4bf6168766c7b9 -> trunk/ca7315c17162ea21b1ca5ba23f4bf6168766c7b9
2025-08-14T22:30:32.7773037Z  * [new tag]                 trunk/cae2b5e3d223829bdc553fc8601df4b1c1554cff -> trunk/cae2b5e3d223829bdc553fc8601df4b1c1554cff
2025-08-14T22:30:32.7774511Z  * [new tag]                 trunk/cbffde774557752cf20447d42d99ec6102673c31 -> trunk/cbffde774557752cf20447d42d99ec6102673c31
2025-08-14T22:30:32.7776062Z  * [new tag]                 trunk/cd8d8c18f5bafdc1c73d5ac0129e7b4d76ab45bc -> trunk/cd8d8c18f5bafdc1c73d5ac0129e7b4d76ab45bc
2025-08-14T22:30:32.7777566Z  * [new tag]                 trunk/cf0a0dcb0afa5e84b95461cc542f862b51ca96bf -> trunk/cf0a0dcb0afa5e84b95461cc542f862b51ca96bf
2025-08-14T22:30:32.7779038Z  * [new tag]                 trunk/cf4964be68fa9f4ffc334f01cce42d7424b1cc81 -> trunk/cf4964be68fa9f4ffc334f01cce42d7424b1cc81
2025-08-14T22:30:32.7780758Z  * [new tag]                 trunk/d0e2240f680ea2a553f7ee8188f52482e130bfd0 -> trunk/d0e2240f680ea2a553f7ee8188f52482e130bfd0
2025-08-14T22:30:32.7782269Z  * [new tag]                 trunk/d1950d4bb5cba8fb6b23e4d283eea5b9801737e2 -> trunk/d1950d4bb5cba8fb6b23e4d283eea5b9801737e2
2025-08-14T22:30:32.7783673Z  * [new tag]                 trunk/d20c4c20e61adecf00335c4d8c22eb1ace472cd3 -> trunk/d20c4c20e61adecf00335c4d8c22eb1ace472cd3
2025-08-14T22:30:32.7785285Z  * [new tag]                 trunk/d25c4f954d599ea512e2f70cd6df101c21479d4c -> trunk/d25c4f954d599ea512e2f70cd6df101c21479d4c
2025-08-14T22:30:32.7786813Z  * [new tag]                 trunk/d3d359dbafa89173a371e2637f22b47398e94a24 -> trunk/d3d359dbafa89173a371e2637f22b47398e94a24
2025-08-14T22:30:32.7788361Z  * [new tag]                 trunk/d46768db04499d07a5b0db984112a6d1b7d3b0c1 -> trunk/d46768db04499d07a5b0db984112a6d1b7d3b0c1
2025-08-14T22:30:32.7789924Z  * [new tag]                 trunk/d4c1a08c89f37d249a0146ff511c82ecc5c53b8f -> trunk/d4c1a08c89f37d249a0146ff511c82ecc5c53b8f
2025-08-14T22:30:32.7791516Z  * [new tag]                 trunk/d556586448f3caab85673c7da0978fe31c7748f7 -> trunk/d556586448f3caab85673c7da0978fe31c7748f7
2025-08-14T22:30:32.7793339Z  * [new tag]                 trunk/d670304001429a1a833255a918ed788d7ec4989a -> trunk/d670304001429a1a833255a918ed788d7ec4989a
2025-08-14T22:30:32.7795243Z  * [new tag]                 trunk/d6786741a77aba200c78002646cc069b7a1799b0 -> trunk/d6786741a77aba200c78002646cc069b7a1799b0
2025-08-14T22:30:32.7797048Z  * [new tag]                 trunk/d68c323692dedcbb74e670801e3502944fd790ff -> trunk/d68c323692dedcbb74e670801e3502944fd790ff
2025-08-14T22:30:32.7798532Z  * [new tag]                 trunk/d8cb3db5339b45e4b745b2b883ef3ecde9843e2c -> trunk/d8cb3db5339b45e4b745b2b883ef3ecde9843e2c
2025-08-14T22:30:32.7799626Z  * [new tag]                 trunk/da1f608ca33f3062535d0a4866d95db19e72fcbd -> trunk/da1f608ca33f3062535d0a4866d95db19e72fcbd
2025-08-14T22:30:32.7801208Z  * [new tag]                 trunk/db0b7f1cc9bb3fe71aaf8b964a644147ae8e1c35 -> trunk/db0b7f1cc9bb3fe71aaf8b964a644147ae8e1c35
2025-08-14T22:30:32.7802754Z  * [new tag]                 trunk/db32b60662b2f2bdcad980127d5dc4b66b02a7e4 -> trunk/db32b60662b2f2bdcad980127d5dc4b66b02a7e4
2025-08-14T22:30:32.7804252Z  * [new tag]                 trunk/db763b17175553ba09637362eb9773a91997a7ad -> trunk/db763b17175553ba09637362eb9773a91997a7ad
2025-08-14T22:30:32.7805743Z  * [new tag]                 trunk/db78943a1ca13a32a3d6045eb15e2b719ee13a2f -> trunk/db78943a1ca13a32a3d6045eb15e2b719ee13a2f
2025-08-14T22:30:32.7807236Z  * [new tag]                 trunk/dc0d18e023d9b7e314ebba0f234b6cb1579dbcfd -> trunk/dc0d18e023d9b7e314ebba0f234b6cb1579dbcfd
2025-08-14T22:30:32.7808702Z  * [new tag]                 trunk/dd21c8a578038ab2841a7ba809a06921093ac9d8 -> trunk/dd21c8a578038ab2841a7ba809a06921093ac9d8
2025-08-14T22:30:32.7810209Z  * [new tag]                 trunk/deea71a90e05eb320c04bebfead5317746637f0d -> trunk/deea71a90e05eb320c04bebfead5317746637f0d
2025-08-14T22:30:32.7811911Z  * [new tag]                 trunk/df55ec7d4b35f6d21691e9dd41c82f27de762948 -> trunk/df55ec7d4b35f6d21691e9dd41c82f27de762948
2025-08-14T22:30:32.7813362Z  * [new tag]                 trunk/e1cf0d496ea85d1807c8c740f296e77bf7bdc1df -> trunk/e1cf0d496ea85d1807c8c740f296e77bf7bdc1df
2025-08-14T22:30:32.7814870Z  * [new tag]                 trunk/e248719ac03c103767ab72034f6b9fd56855bf98 -> trunk/e248719ac03c103767ab72034f6b9fd56855bf98
2025-08-14T22:30:32.7816456Z  * [new tag]                 trunk/e49762026070f66be41bfa6537fbcf9bfc24e558 -> trunk/e49762026070f66be41bfa6537fbcf9bfc24e558
2025-08-14T22:30:32.7817949Z  * [new tag]                 trunk/e4de93f6a3e342bab34d3757cf90ec0ccc87e168 -> trunk/e4de93f6a3e342bab34d3757cf90ec0ccc87e168
2025-08-14T22:30:32.7819417Z  * [new tag]                 trunk/e619c6bb90b9dedaccd3cbeed86a288993a4e33f -> trunk/e619c6bb90b9dedaccd3cbeed86a288993a4e33f
2025-08-14T22:30:32.7820969Z  * [new tag]                 trunk/e63c2b21c186a7d2ab8a8953b8aa1535f2e96e58 -> trunk/e63c2b21c186a7d2ab8a8953b8aa1535f2e96e58
2025-08-14T22:30:32.7822437Z  * [new tag]                 trunk/e7152ff8a6a929a0db7f3f4a72a5b6d471769cd3 -> trunk/e7152ff8a6a929a0db7f3f4a72a5b6d471769cd3
2025-08-14T22:30:32.7824243Z  * [new tag]                 trunk/e96c7c4bb0f6aeae2ab3b6f040f7d67edbec199a -> trunk/e96c7c4bb0f6aeae2ab3b6f040f7d67edbec199a
2025-08-14T22:30:32.7825827Z  * [new tag]                 trunk/e9eb2096a59a79e7a94c3e28a0715e040369f34c -> trunk/e9eb2096a59a79e7a94c3e28a0715e040369f34c
2025-08-14T22:30:32.7827449Z  * [new tag]                 trunk/eac2d9d695a32dd456050f45cac35134ec3809f4 -> trunk/eac2d9d695a32dd456050f45cac35134ec3809f4
2025-08-14T22:30:32.7829044Z  * [new tag]                 trunk/ecde76c764752540edf9ef62a97936c86d984b17 -> trunk/ecde76c764752540edf9ef62a97936c86d984b17
2025-08-14T22:30:32.7830426Z  * [new tag]                 trunk/ecea81117b2fdc52907c97b3c32d779e07b5d55b -> trunk/ecea81117b2fdc52907c97b3c32d779e07b5d55b
2025-08-14T22:30:32.7832146Z  * [new tag]                 trunk/edaa151d0d5a4e75fbec9843f49cc78770eb61fb -> trunk/edaa151d0d5a4e75fbec9843f49cc78770eb61fb
2025-08-14T22:30:32.7833554Z  * [new tag]                 trunk/ee1b0412b919dfb358d5a697b3be49621497fbc2 -> trunk/ee1b0412b919dfb358d5a697b3be49621497fbc2
2025-08-14T22:30:32.7834765Z  * [new tag]                 trunk/ee1fb43450c2e985657f95a91b68328d6f20f24e -> trunk/ee1fb43450c2e985657f95a91b68328d6f20f24e
2025-08-14T22:30:32.7836772Z  * [new tag]                 trunk/ee89cc7a0acd69de25f98fe4ef828546db7b444c -> trunk/ee89cc7a0acd69de25f98fe4ef828546db7b444c
2025-08-14T22:30:32.7838133Z  * [new tag]                 trunk/ee9f8ba11d664b871a9e0c7933fdc8571635b78c -> trunk/ee9f8ba11d664b871a9e0c7933fdc8571635b78c
2025-08-14T22:30:32.7839711Z  * [new tag]                 trunk/eed9dbf70f43ee529fec78ac00ed9a4fd74c6e76 -> trunk/eed9dbf70f43ee529fec78ac00ed9a4fd74c6e76
2025-08-14T22:30:32.7841163Z  * [new tag]                 trunk/f077c2402e4eb5b0ed562b4ee5b7a0503f26ef94 -> trunk/f077c2402e4eb5b0ed562b4ee5b7a0503f26ef94
2025-08-14T22:30:32.7842707Z  * [new tag]                 trunk/f0980fc0bbd656d6c02d23ad97e945353b314f35 -> trunk/f0980fc0bbd656d6c02d23ad97e945353b314f35
2025-08-14T22:30:32.7844285Z  * [new tag]                 trunk/f15ada5c6fad97a7dcbfa4673f067b6942dda640 -> trunk/f15ada5c6fad97a7dcbfa4673f067b6942dda640
2025-08-14T22:30:32.7845787Z  * [new tag]                 trunk/f27232a2134150cb5e55d26a74d8c36c6a961ca5 -> trunk/f27232a2134150cb5e55d26a74d8c36c6a961ca5
2025-08-14T22:30:32.7847262Z  * [new tag]                 trunk/f33ce40bc062a281e1a1f57e8c1926d0a7d155cc -> trunk/f33ce40bc062a281e1a1f57e8c1926d0a7d155cc
2025-08-14T22:30:32.7848748Z  * [new tag]                 trunk/f341077ce4710172da20cfad916ee37159bfe9fe -> trunk/f341077ce4710172da20cfad916ee37159bfe9fe
2025-08-14T22:30:32.7850279Z  * [new tag]                 trunk/f3a4d742ece08de4cb0e59dcc62e0093a7d0b0c7 -> trunk/f3a4d742ece08de4cb0e59dcc62e0093a7d0b0c7
2025-08-14T22:30:32.7851880Z  * [new tag]                 trunk/f3f159ff8c4bad2edec99c68a941c628e983d04c -> trunk/f3f159ff8c4bad2edec99c68a941c628e983d04c
2025-08-14T22:30:32.7853405Z  * [new tag]                 trunk/f60454cce8b93e5bbf67f2f3c88c8ac01ed65457 -> trunk/f60454cce8b93e5bbf67f2f3c88c8ac01ed65457
2025-08-14T22:30:32.7854870Z  * [new tag]                 trunk/f7b2f3314cf7aede67d5fa5c75e4243208484344 -> trunk/f7b2f3314cf7aede67d5fa5c75e4243208484344
2025-08-14T22:30:32.7856453Z  * [new tag]                 trunk/f8f0414a5983ff481a2188e0c18594150430c8c5 -> trunk/f8f0414a5983ff481a2188e0c18594150430c8c5
2025-08-14T22:30:32.7857952Z  * [new tag]                 trunk/f95b58c2844b3444cd8446fed8570729dc4216eb -> trunk/f95b58c2844b3444cd8446fed8570729dc4216eb
2025-08-14T22:30:32.7859601Z  * [new tag]                 trunk/f990490a23815ea6ee27e487c70ba2cf513ba43d -> trunk/f990490a23815ea6ee27e487c70ba2cf513ba43d
2025-08-14T22:30:32.7861028Z  * [new tag]                 trunk/fb887c3bb588cfe782615e67f6c26db636b8539b -> trunk/fb887c3bb588cfe782615e67f6c26db636b8539b
2025-08-14T22:30:32.7863179Z  * [new tag]                 trunk/fc25c68f20f772290927a7031b998b92615259cf -> trunk/fc25c68f20f772290927a7031b998b92615259cf
2025-08-14T22:30:32.7864689Z  * [new tag]                 trunk/fc80f6859e0ccf66513a40f04b9e735e759d4ddb -> trunk/fc80f6859e0ccf66513a40f04b9e735e759d4ddb
2025-08-14T22:30:32.7866174Z  * [new tag]                 trunk/fdfd69bb05488d76123db9cc1cdd90ac4137bbfb -> trunk/fdfd69bb05488d76123db9cc1cdd90ac4137bbfb
2025-08-14T22:30:32.7867814Z  * [new tag]                 trunk/fe3f5fe4ea2ff6f56406dc5d954636ebb08d0a08 -> trunk/fe3f5fe4ea2ff6f56406dc5d954636ebb08d0a08
2025-08-14T22:30:32.7874672Z  * [new tag]                 trunk/fea7e9dd37c02c334b130f6624af6163fde6b2ab -> trunk/fea7e9dd37c02c334b130f6624af6163fde6b2ab
2025-08-14T22:30:32.7875117Z  * [new tag]                 trunk/ff0d56d03592aa03f3ced8359241d21df1783393 -> trunk/ff0d56d03592aa03f3ced8359241d21df1783393
2025-08-14T22:30:32.7875275Z  * [new tag]                 v0.1.1                      -> v0.1.1
2025-08-14T22:30:32.7875416Z  * [new tag]                 v0.1.10                     -> v0.1.10
2025-08-14T22:30:32.7875558Z  * [new tag]                 v0.1.11                     -> v0.1.11
2025-08-14T22:30:32.7875709Z  * [new tag]                 v0.1.12                     -> v0.1.12
2025-08-14T22:30:32.7877329Z  * [new tag]                 v0.1.2                      -> v0.1.2
2025-08-14T22:30:32.7879065Z  * [new tag]                 v0.1.3                      -> v0.1.3
2025-08-14T22:30:32.7879907Z  * [new tag]                 v0.1.4                      -> v0.1.4
2025-08-14T22:30:32.7881461Z  * [new tag]                 v0.1.5                      -> v0.1.5
2025-08-14T22:30:32.7882906Z  * [new tag]                 v0.1.6                      -> v0.1.6
2025-08-14T22:30:32.7883737Z  * [new tag]                 v0.1.7                      -> v0.1.7
2025-08-14T22:30:32.7885497Z  * [new tag]                 v0.1.8                      -> v0.1.8
2025-08-14T22:30:32.7886357Z  * [new tag]                 v0.1.9                      -> v0.1.9
2025-08-14T22:30:32.7888148Z  * [new tag]                 v0.2.0                      -> v0.2.0
2025-08-14T22:30:32.7889412Z  * [new tag]                 v0.3.0                      -> v0.3.0
2025-08-14T22:30:32.7890968Z  * [new tag]                 v0.3.1                      -> v0.3.1
2025-08-14T22:30:32.7892522Z  * [new tag]                 v0.4.0                      -> v0.4.0
2025-08-14T22:30:32.7893888Z  * [new tag]                 v0.4.1                      -> v0.4.1
2025-08-14T22:30:32.7895311Z  * [new tag]                 v1.0.0                      -> v1.0.0
2025-08-14T22:30:32.7896685Z  * [new tag]                 v1.0.0a0                    -> v1.0.0a0
2025-08-14T22:30:32.7898060Z  * [new tag]                 v1.0.1                      -> v1.0.1
2025-08-14T22:30:32.7899442Z  * [new tag]                 v1.0rc0                     -> v1.0rc0
2025-08-14T22:30:32.7900335Z  * [new tag]                 v1.0rc1                     -> v1.0rc1
2025-08-14T22:30:32.7901971Z  * [new tag]                 v1.1.0                      -> v1.1.0
2025-08-14T22:30:32.7903412Z  * [new tag]                 v1.1.0a0                    -> v1.1.0a0
2025-08-14T22:30:32.7905032Z  * [new tag]                 v1.10.0                     -> v1.10.0
2025-08-14T22:30:32.7906502Z  * [new tag]                 v1.10.0-rc1                 -> v1.10.0-rc1
2025-08-14T22:30:32.7907977Z  * [new tag]                 v1.10.0-rc2                 -> v1.10.0-rc2
2025-08-14T22:30:32.7908886Z  * [new tag]                 v1.10.0-rc3                 -> v1.10.0-rc3
2025-08-14T22:30:32.7910616Z  * [new tag]                 v1.10.1                     -> v1.10.1
2025-08-14T22:30:32.7911747Z  * [new tag]                 v1.10.1-rc1                 -> v1.10.1-rc1
2025-08-14T22:30:32.7912681Z  * [new tag]                 v1.10.2                     -> v1.10.2
2025-08-14T22:30:32.7914121Z  * [new tag]                 v1.10.2-rc1                 -> v1.10.2-rc1
2025-08-14T22:30:32.7915542Z  * [new tag]                 v1.11.0                     -> v1.11.0
2025-08-14T22:30:32.7917190Z  * [new tag]                 v1.11.0-rc1                 -> v1.11.0-rc1
2025-08-14T22:30:32.7918679Z  * [new tag]                 v1.11.0-rc2                 -> v1.11.0-rc2
2025-08-14T22:30:32.7920163Z  * [new tag]                 v1.11.0-rc3                 -> v1.11.0-rc3
2025-08-14T22:30:32.7921652Z  * [new tag]                 v1.11.0-rc4                 -> v1.11.0-rc4
2025-08-14T22:30:32.7923475Z  * [new tag]                 v1.11.0-rc5                 -> v1.11.0-rc5
2025-08-14T22:30:32.7924641Z  * [new tag]                 v1.11.0-rc6                 -> v1.11.0-rc6
2025-08-14T22:30:32.7926062Z  * [new tag]                 v1.11.0-rc7                 -> v1.11.0-rc7
2025-08-14T22:30:32.7927522Z  * [new tag]                 v1.12.0                     -> v1.12.0
2025-08-14T22:30:32.7928938Z  * [new tag]                 v1.12.0-rc1                 -> v1.12.0-rc1
2025-08-14T22:30:32.7930358Z  * [new tag]                 v1.12.0-rc2                 -> v1.12.0-rc2
2025-08-14T22:30:32.7931940Z  * [new tag]                 v1.12.0-rc3                 -> v1.12.0-rc3
2025-08-14T22:30:32.7933442Z  * [new tag]                 v1.12.0-rc4                 -> v1.12.0-rc4
2025-08-14T22:30:32.7934872Z  * [new tag]                 v1.12.0-rc5                 -> v1.12.0-rc5
2025-08-14T22:30:32.7936456Z  * [new tag]                 v1.12.0-rc6                 -> v1.12.0-rc6
2025-08-14T22:30:32.7937795Z  * [new tag]                 v1.12.0-rc7                 -> v1.12.0-rc7
2025-08-14T22:30:32.7939030Z  * [new tag]                 v1.12.0-rc8                 -> v1.12.0-rc8
2025-08-14T22:30:32.7939918Z  * [new tag]                 v1.12.1                     -> v1.12.1
2025-08-14T22:30:32.7941697Z  * [new tag]                 v1.12.1-rc1                 -> v1.12.1-rc1
2025-08-14T22:30:32.7943087Z  * [new tag]                 v1.12.1-rc2                 -> v1.12.1-rc2
2025-08-14T22:30:32.7944724Z  * [new tag]                 v1.12.1-rc3                 -> v1.12.1-rc3
2025-08-14T22:30:32.7946167Z  * [new tag]                 v1.12.1-rc4                 -> v1.12.1-rc4
2025-08-14T22:30:32.7947402Z  * [new tag]                 v1.12.1-rc5                 -> v1.12.1-rc5
2025-08-14T22:30:32.7948844Z  * [new tag]                 v1.13.0                     -> v1.13.0
2025-08-14T22:30:32.7950249Z  * [new tag]                 v1.13.0-rc1                 -> v1.13.0-rc1
2025-08-14T22:30:32.7951593Z  * [new tag]                 v1.13.0-rc2                 -> v1.13.0-rc2
2025-08-14T22:30:32.7953001Z  * [new tag]                 v1.13.0-rc3                 -> v1.13.0-rc3
2025-08-14T22:30:32.7954472Z  * [new tag]                 v1.13.0-rc4                 -> v1.13.0-rc4
2025-08-14T22:30:32.7955382Z  * [new tag]                 v1.13.0-rc5                 -> v1.13.0-rc5
2025-08-14T22:30:32.7956826Z  * [new tag]                 v1.13.0-rc6                 -> v1.13.0-rc6
2025-08-14T22:30:32.7958298Z  * [new tag]                 v1.13.1                     -> v1.13.1
2025-08-14T22:30:32.7959404Z  * [new tag]                 v1.13.1-rc1                 -> v1.13.1-rc1
2025-08-14T22:30:32.7960925Z  * [new tag]                 v1.2.0                      -> v1.2.0
2025-08-14T22:30:32.7962350Z  * [new tag]                 v1.2.0a0                    -> v1.2.0a0
2025-08-14T22:30:32.7963738Z  * [new tag]                 v1.3.0                      -> v1.3.0
2025-08-14T22:30:32.7965048Z  * [new tag]                 v1.3.0a0                    -> v1.3.0a0
2025-08-14T22:30:32.7966214Z  * [new tag]                 v1.3.1                      -> v1.3.1
2025-08-14T22:30:32.7967609Z  * [new tag]                 v1.4.0                      -> v1.4.0
2025-08-14T22:30:32.7969047Z  * [new tag]                 v1.4.0a0                    -> v1.4.0a0
2025-08-14T22:30:32.7969933Z  * [new tag]                 v1.4.1                      -> v1.4.1
2025-08-14T22:30:32.7971799Z  * [new tag]                 v1.5.0                      -> v1.5.0
2025-08-14T22:30:32.7973370Z  * [new tag]                 v1.5.0-rc1                  -> v1.5.0-rc1
2025-08-14T22:30:32.7974785Z  * [new tag]                 v1.5.0-rc2                  -> v1.5.0-rc2
2025-08-14T22:30:32.7976397Z  * [new tag]                 v1.5.0-rc3                  -> v1.5.0-rc3
2025-08-14T22:30:32.7977510Z  * [new tag]                 v1.5.0-rc4                  -> v1.5.0-rc4
2025-08-14T22:30:32.7978891Z  * [new tag]                 v1.5.0-rc5                  -> v1.5.0-rc5
2025-08-14T22:30:32.7980408Z  * [new tag]                 v1.5.1                      -> v1.5.1
2025-08-14T22:30:32.7981587Z  * [new tag]                 v1.5.1-rc1                  -> v1.5.1-rc1
2025-08-14T22:30:32.7982523Z  * [new tag]                 v1.6.0                      -> v1.6.0
2025-08-14T22:30:32.7984157Z  * [new tag]                 v1.6.0-rc1                  -> v1.6.0-rc1
2025-08-14T22:30:32.7985710Z  * [new tag]                 v1.6.0-rc2                  -> v1.6.0-rc2
2025-08-14T22:30:32.7987164Z  * [new tag]                 v1.6.0-rc3                  -> v1.6.0-rc3
2025-08-14T22:30:32.7988524Z  * [new tag]                 v1.6.0-rc4                  -> v1.6.0-rc4
2025-08-14T22:30:32.7989918Z  * [new tag]                 v1.6.0-rc5                  -> v1.6.0-rc5
2025-08-14T22:30:32.7991267Z  * [new tag]                 v1.6.0-rc6                  -> v1.6.0-rc6
2025-08-14T22:30:32.7992170Z  * [new tag]                 v1.6.0-rc7                  -> v1.6.0-rc7
2025-08-14T22:30:32.7993890Z  * [new tag]                 v1.7.0                      -> v1.7.0
2025-08-14T22:30:32.7995510Z  * [new tag]                 v1.7.0-rc1                  -> v1.7.0-rc1
2025-08-14T22:30:32.7996937Z  * [new tag]                 v1.7.0-rc2                  -> v1.7.0-rc2
2025-08-14T22:30:32.7998381Z  * [new tag]                 v1.7.0-rc3                  -> v1.7.0-rc3
2025-08-14T22:30:32.7999307Z  * [new tag]                 v1.7.0-rc4                  -> v1.7.0-rc4
2025-08-14T22:30:32.8000972Z  * [new tag]                 v1.7.1                      -> v1.7.1
2025-08-14T22:30:32.8002566Z  * [new tag]                 v1.7.1-rc1                  -> v1.7.1-rc1
2025-08-14T22:30:32.8004015Z  * [new tag]                 v1.7.1-rc2                  -> v1.7.1-rc2
2025-08-14T22:30:32.8004946Z  * [new tag]                 v1.7.1-rc3                  -> v1.7.1-rc3
2025-08-14T22:30:32.8006669Z  * [new tag]                 v1.8.0                      -> v1.8.0
2025-08-14T22:30:32.8007829Z  * [new tag]                 v1.8.0-rc1                  -> v1.8.0-rc1
2025-08-14T22:30:32.8009333Z  * [new tag]                 v1.8.0-rc2                  -> v1.8.0-rc2
2025-08-14T22:30:32.8010784Z  * [new tag]                 v1.8.0-rc3                  -> v1.8.0-rc3
2025-08-14T22:30:32.8012840Z  * [new tag]                 v1.8.0-rc4                  -> v1.8.0-rc4
2025-08-14T22:30:32.8014001Z  * [new tag]                 v1.8.0-rc5                  -> v1.8.0-rc5
2025-08-14T22:30:32.8014937Z  * [new tag]                 v1.8.1                      -> v1.8.1
2025-08-14T22:30:32.8016652Z  * [new tag]                 v1.8.1-rc1                  -> v1.8.1-rc1
2025-08-14T22:30:32.8017907Z  * [new tag]                 v1.8.1-rc2                  -> v1.8.1-rc2
2025-08-14T22:30:32.8019064Z  * [new tag]                 v1.8.1-rc3                  -> v1.8.1-rc3
2025-08-14T22:30:32.8020969Z  * [new tag]                 v1.8.2                      -> v1.8.2
2025-08-14T22:30:32.8022078Z  * [new tag]                 v1.8.2-rc1                  -> v1.8.2-rc1
2025-08-14T22:30:32.8023804Z  * [new tag]                 v1.9.0                      -> v1.9.0
2025-08-14T22:30:32.8025367Z  * [new tag]                 v1.9.0-rc1                  -> v1.9.0-rc1
2025-08-14T22:30:32.8026864Z  * [new tag]                 v1.9.0-rc2                  -> v1.9.0-rc2
2025-08-14T22:30:32.8028358Z  * [new tag]                 v1.9.0-rc3                  -> v1.9.0-rc3
2025-08-14T22:30:32.8029475Z  * [new tag]                 v1.9.0-rc4                  -> v1.9.0-rc4
2025-08-14T22:30:32.8030976Z  * [new tag]                 v1.9.1                      -> v1.9.1
2025-08-14T22:30:32.8032537Z  * [new tag]                 v1.9.1-rc1                  -> v1.9.1-rc1
2025-08-14T22:30:32.8033647Z  * [new tag]                 v1.9.1-rc2                  -> v1.9.1-rc2
2025-08-14T22:30:32.8035268Z  * [new tag]                 v2.0.0                      -> v2.0.0
2025-08-14T22:30:32.8036667Z  * [new tag]                 v2.0.0-rc1                  -> v2.0.0-rc1
2025-08-14T22:30:32.8038154Z  * [new tag]                 v2.0.0-rc2                  -> v2.0.0-rc2
2025-08-14T22:30:32.8039686Z  * [new tag]                 v2.0.0-rc3                  -> v2.0.0-rc3
2025-08-14T22:30:32.8041057Z  * [new tag]                 v2.0.0-rc4                  -> v2.0.0-rc4
2025-08-14T22:30:32.8042544Z  * [new tag]                 v2.0.0-rc5                  -> v2.0.0-rc5
2025-08-14T22:30:32.8043455Z  * [new tag]                 v2.0.0-rc6                  -> v2.0.0-rc6
2025-08-14T22:30:32.8045192Z  * [new tag]                 v2.0.1                      -> v2.0.1
2025-08-14T22:30:32.8046673Z  * [new tag]                 v2.0.1-rc1                  -> v2.0.1-rc1
2025-08-14T22:30:32.8047567Z  * [new tag]                 v2.0.1-rc2                  -> v2.0.1-rc2
2025-08-14T22:30:32.8049187Z  * [new tag]                 v2.0.1-rc3                  -> v2.0.1-rc3
2025-08-14T22:30:32.8050110Z  * [new tag]                 v2.0.1-rc4                  -> v2.0.1-rc4
2025-08-14T22:30:32.8052780Z  * [new tag]                 v2.1.0                      -> v2.1.0
2025-08-14T22:30:32.8054343Z  * [new tag]                 v2.1.0-rc1                  -> v2.1.0-rc1
2025-08-14T22:30:32.8055488Z  * [new tag]                 v2.1.0-rc2                  -> v2.1.0-rc2
2025-08-14T22:30:32.8057065Z  * [new tag]                 v2.1.0-rc3                  -> v2.1.0-rc3
2025-08-14T22:30:32.8058578Z  * [new tag]                 v2.1.0-rc4                  -> v2.1.0-rc4
2025-08-14T22:30:32.8059997Z  * [new tag]                 v2.1.0-rc5                  -> v2.1.0-rc5
2025-08-14T22:30:32.8060887Z  * [new tag]                 v2.1.0-rc6                  -> v2.1.0-rc6
2025-08-14T22:30:32.8062578Z  * [new tag]                 v2.1.1                      -> v2.1.1
2025-08-14T22:30:32.8064099Z  * [new tag]                 v2.1.1-rc1                  -> v2.1.1-rc1
2025-08-14T22:30:32.8065478Z  * [new tag]                 v2.1.1-rc2                  -> v2.1.1-rc2
2025-08-14T22:30:32.8067056Z  * [new tag]                 v2.1.1-rc3                  -> v2.1.1-rc3
2025-08-14T22:30:32.8068560Z  * [new tag]                 v2.1.1-rc4                  -> v2.1.1-rc4
2025-08-14T22:30:32.8069909Z  * [new tag]                 v2.1.1-rc5                  -> v2.1.1-rc5
2025-08-14T22:30:32.8071009Z  * [new tag]                 v2.1.1-rc6                  -> v2.1.1-rc6
2025-08-14T22:30:32.8072555Z  * [new tag]                 v2.1.2                      -> v2.1.2
2025-08-14T22:30:32.8074046Z  * [new tag]                 v2.1.2-rc1                  -> v2.1.2-rc1
2025-08-14T22:30:32.8075541Z  * [new tag]                 v2.1.2-rc2                  -> v2.1.2-rc2
2025-08-14T22:30:32.8076649Z  * [new tag]                 v2.1.2-rc3                  -> v2.1.2-rc3
2025-08-14T22:30:32.8078261Z  * [new tag]                 v2.2.0                      -> v2.2.0
2025-08-14T22:30:32.8079725Z  * [new tag]                 v2.2.0-rc1                  -> v2.2.0-rc1
2025-08-14T22:30:32.8081046Z  * [new tag]                 v2.2.0-rc2                  -> v2.2.0-rc2
2025-08-14T22:30:32.8082370Z  * [new tag]                 v2.2.0-rc3                  -> v2.2.0-rc3
2025-08-14T22:30:32.8083806Z  * [new tag]                 v2.2.0-rc4                  -> v2.2.0-rc4
2025-08-14T22:30:32.8085215Z  * [new tag]                 v2.2.0-rc5                  -> v2.2.0-rc5
2025-08-14T22:30:32.8086591Z  * [new tag]                 v2.2.0-rc6                  -> v2.2.0-rc6
2025-08-14T22:30:32.8087494Z  * [new tag]                 v2.2.0-rc7                  -> v2.2.0-rc7
2025-08-14T22:30:32.8089023Z  * [new tag]                 v2.2.0-rc8                  -> v2.2.0-rc8
2025-08-14T22:30:32.8090366Z  * [new tag]                 v2.2.1                      -> v2.2.1
2025-08-14T22:30:32.8091952Z  * [new tag]                 v2.2.1-rc1                  -> v2.2.1-rc1
2025-08-14T22:30:32.8092970Z  * [new tag]                 v2.2.1-rc2                  -> v2.2.1-rc2
2025-08-14T22:30:32.8094464Z  * [new tag]                 v2.2.1-rc3                  -> v2.2.1-rc3
2025-08-14T22:30:32.8095569Z  * [new tag]                 v2.2.2                      -> v2.2.2
2025-08-14T22:30:32.8097172Z  * [new tag]                 v2.2.2-rc1                  -> v2.2.2-rc1
2025-08-14T22:30:32.8098080Z  * [new tag]                 v2.2.2-rc2                  -> v2.2.2-rc2
2025-08-14T22:30:32.8099635Z  * [new tag]                 v2.2.2-rc3                  -> v2.2.2-rc3
2025-08-14T22:30:32.8101144Z  * [new tag]                 v2.3.0                      -> v2.3.0
2025-08-14T22:30:32.8102975Z  * [new tag]                 v2.3.0-rc1                  -> v2.3.0-rc1
2025-08-14T22:30:32.8104445Z  * [new tag]                 v2.3.0-rc10                 -> v2.3.0-rc10
2025-08-14T22:30:32.8105973Z  * [new tag]                 v2.3.0-rc11                 -> v2.3.0-rc11
2025-08-14T22:30:32.8106851Z  * [new tag]                 v2.3.0-rc12                 -> v2.3.0-rc12
2025-08-14T22:30:32.8108521Z  * [new tag]                 v2.3.0-rc2                  -> v2.3.0-rc2
2025-08-14T22:30:32.8109917Z  * [new tag]                 v2.3.0-rc3                  -> v2.3.0-rc3
2025-08-14T22:30:32.8111415Z  * [new tag]                 v2.3.0-rc4                  -> v2.3.0-rc4
2025-08-14T22:30:32.8112878Z  * [new tag]                 v2.3.0-rc5                  -> v2.3.0-rc5
2025-08-14T22:30:32.8113705Z  * [new tag]                 v2.3.0-rc6                  -> v2.3.0-rc6
2025-08-14T22:30:32.8115441Z  * [new tag]                 v2.3.0-rc7                  -> v2.3.0-rc7
2025-08-14T22:30:32.8116943Z  * [new tag]                 v2.3.0-rc8                  -> v2.3.0-rc8
2025-08-14T22:30:32.8117871Z  * [new tag]                 v2.3.0-rc9                  -> v2.3.0-rc9
2025-08-14T22:30:32.8119344Z  * [new tag]                 v2.3.1                      -> v2.3.1
2025-08-14T22:30:32.8120766Z  * [new tag]                 v2.3.1-rc1                  -> v2.3.1-rc1
2025-08-14T22:30:32.8122195Z  * [new tag]                 v2.3.1-rc2                  -> v2.3.1-rc2
2025-08-14T22:30:32.8123536Z  * [new tag]                 v2.3.1-rc3                  -> v2.3.1-rc3
2025-08-14T22:30:32.8126821Z  * [new tag]                 v2.4.0                      -> v2.4.0
2025-08-14T22:30:32.8128234Z  * [new tag]                 v2.4.0-rc1                  -> v2.4.0-rc1
2025-08-14T22:30:32.8129639Z  * [new tag]                 v2.4.0-rc2                  -> v2.4.0-rc2
2025-08-14T22:30:32.8131141Z  * [new tag]                 v2.4.0-rc3                  -> v2.4.0-rc3
2025-08-14T22:30:32.8132592Z  * [new tag]                 v2.4.0-rc4                  -> v2.4.0-rc4
2025-08-14T22:30:32.8134055Z  * [new tag]                 v2.4.0-rc5                  -> v2.4.0-rc5
2025-08-14T22:30:32.8135472Z  * [new tag]                 v2.4.0-rc6                  -> v2.4.0-rc6
2025-08-14T22:30:32.8136927Z  * [new tag]                 v2.4.0-rc7                  -> v2.4.0-rc7
2025-08-14T22:30:32.8138320Z  * [new tag]                 v2.4.0-rc8                  -> v2.4.0-rc8
2025-08-14T22:30:32.8139836Z  * [new tag]                 v2.4.0-rc9                  -> v2.4.0-rc9
2025-08-14T22:30:32.8140754Z  * [new tag]                 v2.4.1                      -> v2.4.1
2025-08-14T22:30:32.8142608Z  * [new tag]                 v2.4.1-rc1                  -> v2.4.1-rc1
2025-08-14T22:30:32.8144065Z  * [new tag]                 v2.4.1-rc2                  -> v2.4.1-rc2
2025-08-14T22:30:32.8145528Z  * [new tag]                 v2.4.1-rc3                  -> v2.4.1-rc3
2025-08-14T22:30:32.8146965Z  * [new tag]                 v2.5.0                      -> v2.5.0
2025-08-14T22:30:32.8148323Z  * [new tag]                 v2.5.0-rc1                  -> v2.5.0-rc1
2025-08-14T22:30:32.8149584Z  * [new tag]                 v2.5.0-rc10                 -> v2.5.0-rc10
2025-08-14T22:30:32.8151003Z  * [new tag]                 v2.5.0-rc2                  -> v2.5.0-rc2
2025-08-14T22:30:32.8152437Z  * [new tag]                 v2.5.0-rc3                  -> v2.5.0-rc3
2025-08-14T22:30:32.8153547Z  * [new tag]                 v2.5.0-rc4                  -> v2.5.0-rc4
2025-08-14T22:30:32.8155291Z  * [new tag]                 v2.5.0-rc5                  -> v2.5.0-rc5
2025-08-14T22:30:32.8156810Z  * [new tag]                 v2.5.0-rc6                  -> v2.5.0-rc6
2025-08-14T22:30:32.8158303Z  * [new tag]                 v2.5.0-rc7                  -> v2.5.0-rc7
2025-08-14T22:30:32.8159753Z  * [new tag]                 v2.5.0-rc8                  -> v2.5.0-rc8
2025-08-14T22:30:32.8161176Z  * [new tag]                 v2.5.0-rc9                  -> v2.5.0-rc9
2025-08-14T22:30:32.8162495Z  * [new tag]                 v2.5.1                      -> v2.5.1
2025-08-14T22:30:32.8163418Z  * [new tag]                 v2.5.1-rc1                  -> v2.5.1-rc1
2025-08-14T22:30:32.8164871Z  * [new tag]                 v2.6.0                      -> v2.6.0
2025-08-14T22:30:32.8166370Z  * [new tag]                 v2.6.0-rc1                  -> v2.6.0-rc1
2025-08-14T22:30:32.8168002Z  * [new tag]                 v2.6.0-rc2                  -> v2.6.0-rc2
2025-08-14T22:30:32.8169351Z  * [new tag]                 v2.6.0-rc3                  -> v2.6.0-rc3
2025-08-14T22:30:32.8170737Z  * [new tag]                 v2.6.0-rc4                  -> v2.6.0-rc4
2025-08-14T22:30:32.8172708Z  * [new tag]                 v2.6.0-rc5                  -> v2.6.0-rc5
2025-08-14T22:30:32.8174120Z  * [new tag]                 v2.6.0-rc6                  -> v2.6.0-rc6
2025-08-14T22:30:32.8175560Z  * [new tag]                 v2.6.0-rc7                  -> v2.6.0-rc7
2025-08-14T22:30:32.8177020Z  * [new tag]                 v2.6.0-rc8                  -> v2.6.0-rc8
2025-08-14T22:30:32.8178486Z  * [new tag]                 v2.6.0-rc9                  -> v2.6.0-rc9
2025-08-14T22:30:32.8180102Z  * [new tag]                 v2.7.0                      -> v2.7.0
2025-08-14T22:30:32.8181550Z  * [new tag]                 v2.7.0-rc1                  -> v2.7.0-rc1
2025-08-14T22:30:32.8182472Z  * [new tag]                 v2.7.0-rc10                 -> v2.7.0-rc10
2025-08-14T22:30:32.8184230Z  * [new tag]                 v2.7.0-rc2                  -> v2.7.0-rc2
2025-08-14T22:30:32.8185820Z  * [new tag]                 v2.7.0-rc3                  -> v2.7.0-rc3
2025-08-14T22:30:32.8187275Z  * [new tag]                 v2.7.0-rc4                  -> v2.7.0-rc4
2025-08-14T22:30:32.8188638Z  * [new tag]                 v2.7.0-rc5                  -> v2.7.0-rc5
2025-08-14T22:30:32.8190038Z  * [new tag]                 v2.7.0-rc6                  -> v2.7.0-rc6
2025-08-14T22:30:32.8191479Z  * [new tag]                 v2.7.0-rc7                  -> v2.7.0-rc7
2025-08-14T22:30:32.8192977Z  * [new tag]                 v2.7.0-rc8                  -> v2.7.0-rc8
2025-08-14T22:30:32.8194433Z  * [new tag]                 v2.7.0-rc9                  -> v2.7.0-rc9
2025-08-14T22:30:32.8196047Z  * [new tag]                 v2.7.1                      -> v2.7.1
2025-08-14T22:30:32.8197613Z  * [new tag]                 v2.7.1-rc1                  -> v2.7.1-rc1
2025-08-14T22:30:32.8199124Z  * [new tag]                 v2.7.1-rc2                  -> v2.7.1-rc2
2025-08-14T22:30:32.8200655Z  * [new tag]                 v2.7.1-rc3                  -> v2.7.1-rc3
2025-08-14T22:30:32.8202221Z  * [new tag]                 v2.7.1-rc4                  -> v2.7.1-rc4
2025-08-14T22:30:32.8203661Z  * [new tag]                 v2.7.1-rc5                  -> v2.7.1-rc5
2025-08-14T22:30:32.8204907Z  * [new tag]                 v2.8.0                      -> v2.8.0
2025-08-14T22:30:32.8206344Z  * [new tag]                 v2.8.0-rc1                  -> v2.8.0-rc1
2025-08-14T22:30:32.8207803Z  * [new tag]                 v2.8.0-rc2                  -> v2.8.0-rc2
2025-08-14T22:30:32.8209373Z  * [new tag]                 v2.8.0-rc3                  -> v2.8.0-rc3
2025-08-14T22:30:32.8210874Z  * [new tag]                 v2.8.0-rc4                  -> v2.8.0-rc4
2025-08-14T22:30:32.8212567Z  * [new tag]                 v2.8.0-rc5                  -> v2.8.0-rc5
2025-08-14T22:30:32.8214079Z  * [new tag]                 v2.8.0-rc6                  -> v2.8.0-rc6
2025-08-14T22:30:32.8215498Z  * [new tag]                 v2.8.0-rc7                  -> v2.8.0-rc7
2025-08-14T22:30:32.8216973Z  * [new tag]                 v2.8.0-rc8                  -> v2.8.0-rc8
2025-08-14T22:30:32.8218394Z  * [new tag]                 whc_flight_1                -> whc_flight_1
2025-08-14T22:30:32.8219671Z  * [new tag]                 whc_flight_2                -> whc_flight_2
2025-08-14T22:30:32.8221003Z  * [new tag]                 whc_flight_4                -> whc_flight_4
2025-08-14T22:30:32.9316942Z [command]/usr/bin/git rev-parse --verify --quiet 1fc683cf17c8c673044538d10266c00f92987be2^{object}
2025-08-14T22:30:32.9348390Z 1fc683cf17c8c673044538d10266c00f92987be2
2025-08-14T22:30:32.9354228Z ##[endgroup]
2025-08-14T22:30:32.9354517Z ##[group]Determining the checkout info
2025-08-14T22:30:32.9356166Z ##[endgroup]
2025-08-14T22:30:32.9360755Z [command]/usr/bin/git sparse-checkout disable
2025-08-14T22:30:32.9418499Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig
2025-08-14T22:30:32.9455388Z ##[group]Checking out the ref
2025-08-14T22:30:32.9460750Z [command]/usr/bin/git checkout --progress --force 1fc683cf17c8c673044538d10266c00f92987be2
2025-08-14T22:30:33.9826449Z Updating files:  70% (13761/19474)
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2025-08-14T22:30:34.6043074Z Updating files: 100% (19474/19474), done.
2025-08-14T22:30:34.6320673Z Note: switching to '1fc683cf17c8c673044538d10266c00f92987be2'.
2025-08-14T22:30:34.6321066Z 
2025-08-14T22:30:34.6321351Z You are in 'detached HEAD' state. You can look around, make experimental
2025-08-14T22:30:34.6321996Z changes and commit them, and you can discard any commits you make in this
2025-08-14T22:30:34.6322514Z state without impacting any branches by switching back to a branch.
2025-08-14T22:30:34.6322814Z 
2025-08-14T22:30:34.6323017Z If you want to create a new branch to retain commits you create, you may
2025-08-14T22:30:34.6323504Z do so (now or later) by using -c with the switch command. Example:
2025-08-14T22:30:34.6324177Z 
2025-08-14T22:30:34.6324292Z   git switch -c <new-branch-name>
2025-08-14T22:30:34.6324486Z 
2025-08-14T22:30:34.6324603Z Or undo this operation with:
2025-08-14T22:30:34.6324779Z 
2025-08-14T22:30:34.6324870Z   git switch -
2025-08-14T22:30:34.6325009Z 
2025-08-14T22:30:34.6325250Z Turn off this advice by setting config variable advice.detachedHead to false
2025-08-14T22:30:34.6325586Z 
2025-08-14T22:30:34.6325958Z HEAD is now at 1fc683cf17c [Inductor] Allow indexing a flexible layout for extract_input_node_reduction_ranges (#160645)
2025-08-14T22:30:34.6494031Z ##[endgroup]
2025-08-14T22:30:34.6494534Z ##[group]Setting up auth for fetching submodules
2025-08-14T22:30:34.6502358Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic ***
2025-08-14T22:30:34.6561350Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf
2025-08-14T22:30:34.6596760Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com:
2025-08-14T22:30:34.6632814Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com:
2025-08-14T22:30:34.6665240Z ##[endgroup]
2025-08-14T22:30:34.6665642Z ##[group]Fetching submodules
2025-08-14T22:30:34.6668771Z [command]/usr/bin/git submodule sync --recursive
2025-08-14T22:30:34.7095000Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive
2025-08-14T22:30:34.7498934Z Submodule 'android/libs/fbjni' (https://github.com/facebookincubator/fbjni.git) registered for path 'android/libs/fbjni'
2025-08-14T22:30:34.7501427Z Submodule 'third_party/NNPACK_deps/FP16' (https://github.com/Maratyszcza/FP16.git) registered for path 'third_party/FP16'
2025-08-14T22:30:34.7891120Z Submodule 'third_party/NNPACK_deps/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'third_party/FXdiv'
2025-08-14T22:30:34.7894677Z Submodule 'third_party/NNPACK' (https://github.com/Maratyszcza/NNPACK.git) registered for path 'third_party/NNPACK'
2025-08-14T22:30:34.7899167Z Submodule 'third_party/NVTX' (https://github.com/NVIDIA/NVTX.git) registered for path 'third_party/NVTX'
2025-08-14T22:30:34.7904202Z Submodule 'third_party/VulkanMemoryAllocator' (https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator.git) registered for path 'third_party/VulkanMemoryAllocator'
2025-08-14T22:30:34.7908821Z Submodule 'third_party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'third_party/XNNPACK'
2025-08-14T22:30:34.7913700Z Submodule 'third_party/aiter' (https://github.com/ROCm/aiter.git) registered for path 'third_party/aiter'
2025-08-14T22:30:34.7918849Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/benchmark'
2025-08-14T22:30:34.7935327Z Submodule 'third_party/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/composable_kernel'
2025-08-14T22:30:34.7940261Z Submodule 'third_party/cpp-httplib' (https://github.com/yhirose/cpp-httplib.git) registered for path 'third_party/cpp-httplib'
2025-08-14T22:30:34.7945344Z Submodule 'third_party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'third_party/cpuinfo'
2025-08-14T22:30:34.7950857Z Submodule 'third_party/cudnn_frontend' (https://github.com/NVIDIA/cudnn-frontend.git) registered for path 'third_party/cudnn_frontend'
2025-08-14T22:30:34.7956226Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/cutlass'
2025-08-14T22:30:34.7961674Z Submodule 'third_party/fbgemm' (https://github.com/pytorch/fbgemm) registered for path 'third_party/fbgemm'
2025-08-14T22:30:34.7980122Z Submodule 'third_party/flash-attention' (https://github.com/Dao-AILab/flash-attention.git) registered for path 'third_party/flash-attention'
2025-08-14T22:30:34.7985612Z Submodule 'third_party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'third_party/flatbuffers'
2025-08-14T22:30:34.7991192Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/fmt'
2025-08-14T22:30:34.7996994Z Submodule 'third_party/gemmlowp/gemmlowp' (https://github.com/google/gemmlowp.git) registered for path 'third_party/gemmlowp/gemmlowp'
2025-08-14T22:30:34.8006344Z Submodule 'third_party/gloo' (https://github.com/pytorch/gloo) registered for path 'third_party/gloo'
2025-08-14T22:30:34.8012593Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest'
2025-08-14T22:30:34.8018435Z Submodule 'third_party/ideep' (https://github.com/intel/ideep) registered for path 'third_party/ideep'
2025-08-14T22:30:34.8036566Z Submodule 'third_party/ittapi' (https://github.com/intel/ittapi.git) registered for path 'third_party/ittapi'
2025-08-14T22:30:34.8042560Z Submodule 'third_party/kineto' (https://github.com/pytorch/kineto) registered for path 'third_party/kineto'
2025-08-14T22:30:34.8048735Z Submodule 'third_party/kleidiai' (https://github.com/ARM-software/kleidiai.git) registered for path 'third_party/kleidiai'
2025-08-14T22:30:34.8055231Z Submodule 'third_party/mimalloc' (https://github.com/microsoft/mimalloc.git) registered for path 'third_party/mimalloc'
2025-08-14T22:30:34.8061696Z Submodule 'third_party/nlohmann' (https://github.com/nlohmann/json.git) registered for path 'third_party/nlohmann'
2025-08-14T22:30:34.8067891Z Submodule 'third_party/onnx' (https://github.com/onnx/onnx.git) registered for path 'third_party/onnx'
2025-08-14T22:30:34.8085723Z Submodule 'third_party/opentelemetry-cpp' (https://github.com/open-telemetry/opentelemetry-cpp.git) registered for path 'third_party/opentelemetry-cpp'
2025-08-14T22:30:34.8092132Z Submodule 'third_party/pocketfft' (https://github.com/mreineck/pocketfft) registered for path 'third_party/pocketfft'
2025-08-14T22:30:34.8098891Z Submodule 'third_party/protobuf' (https://github.com/protocolbuffers/protobuf.git) registered for path 'third_party/protobuf'
2025-08-14T22:30:34.8105544Z Submodule 'third_party/NNPACK_deps/psimd' (https://github.com/Maratyszcza/psimd.git) registered for path 'third_party/psimd'
2025-08-14T22:30:34.8112509Z Submodule 'third_party/NNPACK_deps/pthreadpool' (https://github.com/Maratyszcza/pthreadpool.git) registered for path 'third_party/pthreadpool'
2025-08-14T22:30:34.8119313Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/pybind11'
2025-08-14T22:30:34.8126825Z Submodule 'third_party/python-peachpy' (https://github.com/malfet/PeachPy.git) registered for path 'third_party/python-peachpy'
2025-08-14T22:30:34.8145373Z Submodule 'third_party/sleef' (https://github.com/shibatch/sleef) registered for path 'third_party/sleef'
2025-08-14T22:30:34.8155941Z Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe.git) registered for path 'third_party/tensorpipe'
2025-08-14T22:30:34.8196487Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/android/libs/fbjni'...
2025-08-14T22:30:35.0677608Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FXdiv'...
2025-08-14T22:30:35.0678652Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FP16'...
2025-08-14T22:30:35.0718219Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fmt'...
2025-08-14T22:30:38.0157018Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NNPACK'...
2025-08-14T22:30:38.0158291Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/benchmark'...
2025-08-14T22:30:38.0159496Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NVTX'...
2025-08-14T22:30:38.0160614Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gloo'...
2025-08-14T22:30:38.0162439Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpp-httplib'...
2025-08-14T22:30:38.0163818Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gemmlowp/gemmlowp'...
2025-08-14T22:30:38.0165324Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpuinfo'...
2025-08-14T22:30:38.0166532Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention'...
2025-08-14T22:30:38.0167764Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep'...
2025-08-14T22:30:38.0168910Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ittapi'...
2025-08-14T22:30:38.0170030Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kleidiai'...
2025-08-14T22:30:38.0171327Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pocketfft'...
2025-08-14T22:30:38.0172465Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cudnn_frontend'...
2025-08-14T22:30:38.0173451Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/psimd'...
2025-08-14T22:30:38.0174460Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/googletest'...
2025-08-14T22:30:38.0175722Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/mimalloc'...
2025-08-14T22:30:38.0176914Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pthreadpool'...
2025-08-14T22:30:38.0528486Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flatbuffers'...
2025-08-14T22:30:38.0650687Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/VulkanMemoryAllocator'...
2025-08-14T22:30:38.1657017Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp'...
2025-08-14T22:30:49.6321416Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/python-peachpy'...
2025-08-14T22:30:49.6322701Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto'...
2025-08-14T22:30:49.6324140Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe'...
2025-08-14T22:30:49.6325348Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/sleef'...
2025-08-14T22:30:49.6326505Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pybind11'...
2025-08-14T22:30:49.6327683Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cutlass'...
2025-08-14T22:30:49.6328841Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm'...
2025-08-14T22:30:49.6330070Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/composable_kernel'...
2025-08-14T22:30:49.6331368Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx'...
2025-08-14T22:30:49.6332499Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter'...
2025-08-14T22:30:49.6333712Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/nlohmann'...
2025-08-14T22:30:49.7322702Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/XNNPACK'...
2025-08-14T22:30:55.0511891Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf'...
2025-08-14T22:30:55.0728650Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f'
2025-08-14T22:30:55.0901965Z Submodule path 'third_party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3'
2025-08-14T22:30:55.1045232Z Submodule path 'third_party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1'
2025-08-14T22:30:55.1396125Z Submodule path 'third_party/NNPACK': checked out 'c07e3a0400713d546e0dea2d5466dd22ea389c73'
2025-08-14T22:30:55.2370728Z Submodule path 'third_party/NVTX': checked out '2942f167cc30c5e3a44a2aecd5b0d9c07ff61a07'
2025-08-14T22:30:55.3033357Z Submodule path 'third_party/VulkanMemoryAllocator': checked out '1d8f600fd424278486eade7ed3e877c99f0846b1'
2025-08-14T22:30:56.2841971Z Submodule path 'third_party/XNNPACK': checked out '51a0103656eff6fc9bfd39a4597923c4b542c883'
2025-08-14T22:30:56.4711022Z Submodule path 'third_party/aiter': checked out '01aae101b9e5e94d6c16a9514c9fb8df99c93150'
2025-08-14T22:30:56.4739479Z Submodule '3rdparty/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/aiter/3rdparty/composable_kernel'
2025-08-14T22:30:56.4776864Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter/3rdparty/composable_kernel'...
2025-08-14T22:30:59.9924700Z Submodule path 'third_party/aiter/3rdparty/composable_kernel': checked out 'cffe8fa2a442ac8e80dd236a1a5d24fe3d7e0cbf'
2025-08-14T22:31:00.0245051Z Submodule path 'third_party/benchmark': checked out '299e5928955cc62af9968370293b916f5130916f'
2025-08-14T22:31:00.4585756Z Submodule path 'third_party/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977'
2025-08-14T22:31:00.5250788Z Submodule path 'third_party/cpp-httplib': checked out '3af7f2c16147f3fbc6e4d717032daf505dc1652c'
2025-08-14T22:31:00.6440113Z Submodule path 'third_party/cpuinfo': checked out '5e3d2445e6a84d9599bee2bf78edbb4d80865e1d'
2025-08-14T22:31:00.6991051Z Submodule path 'third_party/cudnn_frontend': checked out 'f937055efc6d414d11f4c6577e3977fe74f35fb6'
2025-08-14T22:31:01.4989561Z Submodule path 'third_party/cutlass': checked out 'e51efbfe18fe4f4cbb66ab814c55bf4aa0185491'
2025-08-14T22:31:01.6804644Z Submodule path 'third_party/fbgemm': checked out '21c7d30c526c0f1ad873ecc632dca6cfa8a69067'
2025-08-14T22:31:01.6832069Z Submodule 'external/asmjit' (https://github.com/asmjit/asmjit.git) registered for path 'third_party/fbgemm/external/asmjit'
2025-08-14T22:31:01.6836694Z Submodule 'external/composable_kernel' (https://github.com/jwfromm/composable_kernel.git) registered for path 'third_party/fbgemm/external/composable_kernel'
2025-08-14T22:31:01.6840076Z Submodule 'external/cpuinfo' (https://github.com/pytorch/cpuinfo) registered for path 'third_party/fbgemm/external/cpuinfo'
2025-08-14T22:31:01.6844557Z Submodule 'external/cutlass' (https://github.com/jwfromm/cutlass) registered for path 'third_party/fbgemm/external/cutlass'
2025-08-14T22:31:01.6848621Z Submodule 'external/googletest' (https://github.com/google/googletest) registered for path 'third_party/fbgemm/external/googletest'
2025-08-14T22:31:01.6855007Z Submodule 'external/hipify_torch' (https://github.com/ROCmSoftwarePlatform/hipify_torch.git) registered for path 'third_party/fbgemm/external/hipify_torch'
2025-08-14T22:31:01.6858101Z Submodule 'external/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/fbgemm/external/json'
2025-08-14T22:31:01.6894460Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/asmjit'...
2025-08-14T22:31:03.0010950Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/hipify_torch'...
2025-08-14T22:31:03.0012492Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cpuinfo'...
2025-08-14T22:31:03.0013848Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/googletest'...
2025-08-14T22:31:03.1012545Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/composable_kernel'...
2025-08-14T22:31:03.3268853Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cutlass'...
2025-08-14T22:31:04.1341061Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/json'...
2025-08-14T22:31:10.2453344Z Submodule path 'third_party/fbgemm/external/asmjit': checked out 'a3199e8857792cd10b7589ff5d58343d2c9008ea'
2025-08-14T22:31:10.6080792Z Submodule path 'third_party/fbgemm/external/composable_kernel': checked out 'b1281b8b08d973a7064f864f47eeb30f3e2596e9'
2025-08-14T22:31:10.7287655Z Submodule path 'third_party/fbgemm/external/cpuinfo': checked out '6543fec09b2f04ac4a666882998b534afc9c1349'
2025-08-14T22:31:11.5102292Z Submodule path 'third_party/fbgemm/external/cutlass': checked out 'b40777404c174b9694a870bff5c13ce6b7f656ad'
2025-08-14T22:31:11.5670015Z Submodule path 'third_party/fbgemm/external/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723'
2025-08-14T22:31:11.5836333Z Submodule path 'third_party/fbgemm/external/hipify_torch': checked out 'a4337c69fe0e2552a7b7b0669178926beeed828c'
2025-08-14T22:31:11.7175738Z Submodule path 'third_party/fbgemm/external/json': checked out '9cca280a4d0ccf0c08f47a99aa71d1b0e52f8d03'
2025-08-14T22:31:11.8128671Z Submodule path 'third_party/flash-attention': checked out '979702c87a8713a8e0a5e9fee122b90d2ef13be5'
2025-08-14T22:31:11.8154000Z Submodule 'csrc/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/flash-attention/csrc/composable_kernel'
2025-08-14T22:31:11.8157463Z Submodule 'csrc/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/flash-attention/csrc/cutlass'
2025-08-14T22:31:11.8192193Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/composable_kernel'...
2025-08-14T22:31:14.9693750Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/cutlass'...
2025-08-14T22:31:15.3019392Z Submodule path 'third_party/flash-attention/csrc/composable_kernel': checked out '888317e698e9803c62bd38568abc9e05d7709f33'
2025-08-14T22:31:16.0215340Z Submodule path 'third_party/flash-attention/csrc/cutlass': checked out 'c506e16788cb08416a4a57e11a9067beeee29420'
2025-08-14T22:31:16.2077594Z Submodule path 'third_party/flatbuffers': checked out 'a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757'
2025-08-14T22:31:16.2496759Z Submodule path 'third_party/fmt': checked out '40626af88bd7df9a5fb80be7b25ac85b122d6c21'
2025-08-14T22:31:16.2989386Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350'
2025-08-14T22:31:16.3345763Z Submodule path 'third_party/gloo': checked out 'c7b7b022c124d9643957d9bd55f57ac59fce8fa2'
2025-08-14T22:31:16.3909255Z Submodule path 'third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723'
2025-08-14T22:31:16.4093747Z Submodule path 'third_party/ideep': checked out '719d8e6cd7f7a0e01b155657526d693acf97c2b3'
2025-08-14T22:31:16.4116626Z Submodule 'mkl-dnn' (https://github.com/intel/mkl-dnn.git) registered for path 'third_party/ideep/mkl-dnn'
2025-08-14T22:31:16.4153627Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep/mkl-dnn'...
2025-08-14T22:31:28.3736427Z Submodule path 'third_party/ideep/mkl-dnn': checked out '8d263e693366ef8db40acc569cc7d8edf644556d'
2025-08-14T22:31:28.4016071Z Submodule path 'third_party/ittapi': checked out 'dec1d23ca65ab069d225dfe40dea14f455170959'
2025-08-14T22:31:28.5057353Z Submodule path 'third_party/kineto': checked out '5e7501833f1021ce6f618572d3baf657b6319658'
2025-08-14T22:31:28.5081008Z Submodule 'libkineto/third_party/dynolog' (https://github.com/facebookincubator/dynolog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog'
2025-08-14T22:31:28.5084707Z Submodule 'libkineto/third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/fmt'
2025-08-14T22:31:28.5088703Z Submodule 'libkineto/third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/googletest'
2025-08-14T22:31:28.5124196Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog'...
2025-08-14T22:31:29.2086613Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/fmt'...
2025-08-14T22:31:29.8773441Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/googletest'...
2025-08-14T22:31:29.9757102Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out '7d04a0053a845370ae06ce317a22a48e9edcc74e'
2025-08-14T22:31:29.9783553Z Submodule 'third_party/DCGM' (https://github.com/NVIDIA/DCGM.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-08-14T22:31:29.9786698Z Submodule 'third_party/cpr' (https://github.com/libcpr/cpr.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-08-14T22:31:29.9791001Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-08-14T22:31:29.9795431Z Submodule 'third_party/gflags' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-08-14T22:31:29.9799940Z Submodule 'third_party/glog' (https://github.com/google/glog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-08-14T22:31:29.9804523Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-08-14T22:31:29.9809067Z Submodule 'third_party/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-08-14T22:31:29.9814233Z Submodule 'third_party/pfs' (https://github.com/dtrugman/pfs.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-08-14T22:31:29.9851153Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'...
2025-08-14T22:31:31.3731485Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'...
2025-08-14T22:31:31.3732706Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'...
2025-08-14T22:31:31.3733810Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'...
2025-08-14T22:31:31.3735036Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/glog'...
2025-08-14T22:31:31.3736953Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'...
2025-08-14T22:31:31.4732813Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'...
2025-08-14T22:31:31.7656499Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/json'...
2025-08-14T22:31:37.5541849Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9'
2025-08-14T22:31:37.5794269Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400'
2025-08-14T22:31:37.6293810Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05'
2025-08-14T22:31:37.6487384Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067'
2025-08-14T22:31:37.6511955Z Submodule 'doc' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-08-14T22:31:37.6551709Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'...
2025-08-14T22:31:37.9559631Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc': checked out '8411df715cf522606e3b1aca386ddfc0b63d34b4'
2025-08-14T22:31:37.9814360Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog': checked out 'b33e3bad4c46c8a6345525fd822af355e5ef9446'
2025-08-14T22:31:38.0330544Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest': checked out '58d77fa8070e8cec2dc1ed015d66b454c8d78850'
2025-08-14T22:31:38.1577487Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json': checked out '4f8fba14066156b73f1189a2b8bd568bde5284c5'
2025-08-14T22:31:38.1808156Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs': checked out 'f68a2fa8ea36c783bdd760371411fcb495aa3150'
2025-08-14T22:31:38.2263448Z Submodule path 'third_party/kineto/libkineto/third_party/fmt': checked out '0041a40c1350ba702d475b9c4ad62da77caea164'
2025-08-14T22:31:38.2977546Z Submodule path 'third_party/kineto/libkineto/third_party/googletest': checked out '7aca84427f224eeed3144123d5230d5871e93347'
2025-08-14T22:31:38.3563716Z Submodule path 'third_party/kleidiai': checked out 'cca02c2f69dd18e1f12647c1c0bdc8cf90e680c7'
2025-08-14T22:31:38.4075250Z Submodule path 'third_party/mimalloc': checked out 'fbd8b99c2b828428947d70fdc046bb55609be93e'
2025-08-14T22:31:38.5516441Z Submodule path 'third_party/nlohmann': checked out '55f93686c01528224f448c19128836e7df245f72'
2025-08-14T22:31:39.1699742Z Submodule path 'third_party/onnx': checked out 'e709452ef2bbc1d113faf678c24e6d3467696e83'
2025-08-14T22:31:39.1745892Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/onnx/third_party/pybind11'
2025-08-14T22:31:39.1783244Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx/third_party/pybind11'...
2025-08-14T22:31:40.2153024Z Submodule path 'third_party/onnx/third_party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4'
2025-08-14T22:31:40.3134356Z Submodule path 'third_party/opentelemetry-cpp': checked out 'a799f4aed9c94b765dcdaabaeab7d5e7e2310878'
2025-08-14T22:31:40.3158607Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark) registered for path 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-08-14T22:31:40.3162610Z Submodule 'third_party/googletest' (https://github.com/google/googletest) registered for path 'third_party/opentelemetry-cpp/third_party/googletest'
2025-08-14T22:31:40.3166369Z Submodule 'third_party/ms-gsl' (https://github.com/microsoft/GSL) registered for path 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-08-14T22:31:40.3170478Z Submodule 'third_party/nlohmann-json' (https://github.com/nlohmann/json) registered for path 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-08-14T22:31:40.3174839Z Submodule 'third_party/opentelemetry-proto' (https://github.com/open-telemetry/opentelemetry-proto) registered for path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-08-14T22:31:40.3178855Z Submodule 'third_party/opentracing-cpp' (https://github.com/opentracing/opentracing-cpp.git) registered for path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-08-14T22:31:40.3183061Z Submodule 'third_party/prometheus-cpp' (https://github.com/jupp0r/prometheus-cpp) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-08-14T22:31:40.3187292Z Submodule 'tools/vcpkg' (https://github.com/Microsoft/vcpkg) registered for path 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-08-14T22:31:40.3223088Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/benchmark'...
2025-08-14T22:31:40.8024076Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentracing-cpp'...
2025-08-14T22:31:40.8025229Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentelemetry-proto'...
2025-08-14T22:31:40.8026288Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/ms-gsl'...
2025-08-14T22:31:40.8027398Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp'...
2025-08-14T22:31:40.9025310Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/googletest'...
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2025-08-14T22:31:56.3240983Z ##[endgroup]
2025-08-14T22:31:56.3241436Z ##[group]Persisting credentials for submodules
2025-08-14T22:31:56.3247621Z [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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2025-08-14T22:31:56.9958087Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local 'http.https://github.com/.extraheader' 'AUTHORIZATION: basic ***' && git config --local --show-origin --name-only --get-regexp remote.origin.url"
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2025-08-14T22:31:57.7151673Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/psimd/config	remote.origin.url
2025-08-14T22:31:57.7176093Z Entering 'third_party/pthreadpool'
2025-08-14T22:31:57.7248233Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/pthreadpool/config	remote.origin.url
2025-08-14T22:31:57.7272689Z Entering 'third_party/pybind11'
2025-08-14T22:31:57.7347881Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/pybind11/config	remote.origin.url
2025-08-14T22:31:57.7372912Z Entering 'third_party/python-peachpy'
2025-08-14T22:31:57.7444355Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/python-peachpy/config	remote.origin.url
2025-08-14T22:31:57.7468751Z Entering 'third_party/sleef'
2025-08-14T22:31:57.7540891Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/sleef/config	remote.origin.url
2025-08-14T22:31:57.7565859Z Entering 'third_party/tensorpipe'
2025-08-14T22:31:57.7637811Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/config	remote.origin.url
2025-08-14T22:31:57.7661062Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-08-14T22:31:57.7733867Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/googletest/config	remote.origin.url
2025-08-14T22:31:57.7757925Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-08-14T22:31:57.7829128Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/libnop/config	remote.origin.url
2025-08-14T22:31:57.7853059Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-08-14T22:31:57.7925574Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/libuv/config	remote.origin.url
2025-08-14T22:31:57.7949261Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-08-14T22:31:57.8020475Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/pybind11/config	remote.origin.url
2025-08-14T22:31:57.8042967Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-08-14T22:31:57.8114165Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/pybind11/modules/tools/clang/config	remote.origin.url
2025-08-14T22:31:57.8838850Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'git@github.com:'
2025-08-14T22:31:57.9243680Z Entering 'android/libs/fbjni'
2025-08-14T22:31:57.9304241Z Entering 'third_party/FP16'
2025-08-14T22:31:57.9365882Z Entering 'third_party/FXdiv'
2025-08-14T22:31:57.9433298Z Entering 'third_party/NNPACK'
2025-08-14T22:31:57.9493206Z Entering 'third_party/NVTX'
2025-08-14T22:31:57.9556081Z Entering 'third_party/VulkanMemoryAllocator'
2025-08-14T22:31:57.9616238Z Entering 'third_party/XNNPACK'
2025-08-14T22:31:57.9692277Z Entering 'third_party/aiter'
2025-08-14T22:31:57.9758160Z Entering 'third_party/aiter/3rdparty/composable_kernel'
2025-08-14T22:31:57.9826761Z Entering 'third_party/benchmark'
2025-08-14T22:31:57.9889968Z Entering 'third_party/composable_kernel'
2025-08-14T22:31:57.9959330Z Entering 'third_party/cpp-httplib'
2025-08-14T22:31:58.0019542Z Entering 'third_party/cpuinfo'
2025-08-14T22:31:58.0080317Z Entering 'third_party/cudnn_frontend'
2025-08-14T22:31:58.0143142Z Entering 'third_party/cutlass'
2025-08-14T22:31:58.0219161Z Entering 'third_party/fbgemm'
2025-08-14T22:31:58.0282924Z Entering 'third_party/fbgemm/external/asmjit'
2025-08-14T22:31:58.0340909Z Entering 'third_party/fbgemm/external/composable_kernel'
2025-08-14T22:31:58.0406761Z Entering 'third_party/fbgemm/external/cpuinfo'
2025-08-14T22:31:58.0466100Z Entering 'third_party/fbgemm/external/cutlass'
2025-08-14T22:31:58.0533095Z Entering 'third_party/fbgemm/external/googletest'
2025-08-14T22:31:58.0591319Z Entering 'third_party/fbgemm/external/hipify_torch'
2025-08-14T22:31:58.0648331Z Entering 'third_party/fbgemm/external/json'
2025-08-14T22:31:58.0715342Z Entering 'third_party/flash-attention'
2025-08-14T22:31:58.0776713Z Entering 'third_party/flash-attention/csrc/composable_kernel'
2025-08-14T22:31:58.0840996Z Entering 'third_party/flash-attention/csrc/cutlass'
2025-08-14T22:31:58.0910505Z Entering 'third_party/flatbuffers'
2025-08-14T22:31:58.0975689Z Entering 'third_party/fmt'
2025-08-14T22:31:58.1036893Z Entering 'third_party/gemmlowp/gemmlowp'
2025-08-14T22:31:58.1098717Z Entering 'third_party/gloo'
2025-08-14T22:31:58.1159242Z Entering 'third_party/googletest'
2025-08-14T22:31:58.1220009Z Entering 'third_party/ideep'
2025-08-14T22:31:58.1280083Z Entering 'third_party/ideep/mkl-dnn'
2025-08-14T22:31:58.1346632Z Entering 'third_party/ittapi'
2025-08-14T22:31:58.1408796Z Entering 'third_party/kineto'
2025-08-14T22:31:58.1468806Z Entering 'third_party/kineto/libkineto/third_party/dynolog'
2025-08-14T22:31:58.1526148Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-08-14T22:31:58.1586374Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-08-14T22:31:58.1645407Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-08-14T22:31:58.1705805Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-08-14T22:31:58.1763468Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-08-14T22:31:58.1826024Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-08-14T22:31:58.1885714Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-08-14T22:31:58.1944470Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-08-14T22:31:58.2003022Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-08-14T22:31:58.2066200Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2025-08-14T22:31:58.2125328Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2025-08-14T22:31:58.2186990Z Entering 'third_party/kleidiai'
2025-08-14T22:31:58.2249405Z Entering 'third_party/mimalloc'
2025-08-14T22:31:58.2311011Z Entering 'third_party/nlohmann'
2025-08-14T22:31:58.2374056Z Entering 'third_party/onnx'
2025-08-14T22:31:58.2452972Z Entering 'third_party/onnx/third_party/pybind11'
2025-08-14T22:31:58.2518036Z Entering 'third_party/opentelemetry-cpp'
2025-08-14T22:31:58.2583783Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-08-14T22:31:58.2642639Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-08-14T22:31:58.2700045Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-08-14T22:31:58.2760076Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-08-14T22:31:58.2817770Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-08-14T22:31:58.2875446Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-08-14T22:31:58.2933306Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-08-14T22:31:58.2988985Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-08-14T22:31:58.3049515Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-08-14T22:31:58.3111000Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-08-14T22:31:58.3194494Z Entering 'third_party/pocketfft'
2025-08-14T22:31:58.3256390Z Entering 'third_party/protobuf'
2025-08-14T22:31:58.3319696Z Entering 'third_party/protobuf/third_party/benchmark'
2025-08-14T22:31:58.3381406Z Entering 'third_party/protobuf/third_party/googletest'
2025-08-14T22:31:58.3446755Z Entering 'third_party/psimd'
2025-08-14T22:31:58.3507736Z Entering 'third_party/pthreadpool'
2025-08-14T22:31:58.3569339Z Entering 'third_party/pybind11'
2025-08-14T22:31:58.3631989Z Entering 'third_party/python-peachpy'
2025-08-14T22:31:58.3692419Z Entering 'third_party/sleef'
2025-08-14T22:31:58.3753361Z Entering 'third_party/tensorpipe'
2025-08-14T22:31:58.3814372Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-08-14T22:31:58.3874351Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-08-14T22:31:58.3931302Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-08-14T22:31:58.3990344Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-08-14T22:31:58.4046639Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-08-14T22:31:58.4133006Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:'
2025-08-14T22:31:58.4533112Z Entering 'android/libs/fbjni'
2025-08-14T22:31:58.4592962Z Entering 'third_party/FP16'
2025-08-14T22:31:58.4653135Z Entering 'third_party/FXdiv'
2025-08-14T22:31:58.4713720Z Entering 'third_party/NNPACK'
2025-08-14T22:31:58.4779351Z Entering 'third_party/NVTX'
2025-08-14T22:31:58.4840939Z Entering 'third_party/VulkanMemoryAllocator'
2025-08-14T22:31:58.4900689Z Entering 'third_party/XNNPACK'
2025-08-14T22:31:58.4975924Z Entering 'third_party/aiter'
2025-08-14T22:31:58.5038977Z Entering 'third_party/aiter/3rdparty/composable_kernel'
2025-08-14T22:31:58.5113806Z Entering 'third_party/benchmark'
2025-08-14T22:31:58.5174931Z Entering 'third_party/composable_kernel'
2025-08-14T22:31:58.5243631Z Entering 'third_party/cpp-httplib'
2025-08-14T22:31:58.5304224Z Entering 'third_party/cpuinfo'
2025-08-14T22:31:58.5364775Z Entering 'third_party/cudnn_frontend'
2025-08-14T22:31:58.5425713Z Entering 'third_party/cutlass'
2025-08-14T22:31:58.5494598Z Entering 'third_party/fbgemm'
2025-08-14T22:31:58.5558203Z Entering 'third_party/fbgemm/external/asmjit'
2025-08-14T22:31:58.5616153Z Entering 'third_party/fbgemm/external/composable_kernel'
2025-08-14T22:31:58.5680963Z Entering 'third_party/fbgemm/external/cpuinfo'
2025-08-14T22:31:58.5739830Z Entering 'third_party/fbgemm/external/cutlass'
2025-08-14T22:31:58.5806308Z Entering 'third_party/fbgemm/external/googletest'
2025-08-14T22:31:58.5863109Z Entering 'third_party/fbgemm/external/hipify_torch'
2025-08-14T22:31:58.5920411Z Entering 'third_party/fbgemm/external/json'
2025-08-14T22:31:58.5986029Z Entering 'third_party/flash-attention'
2025-08-14T22:31:58.6047821Z Entering 'third_party/flash-attention/csrc/composable_kernel'
2025-08-14T22:31:58.6113627Z Entering 'third_party/flash-attention/csrc/cutlass'
2025-08-14T22:31:58.6182733Z Entering 'third_party/flatbuffers'
2025-08-14T22:31:58.6245570Z Entering 'third_party/fmt'
2025-08-14T22:31:58.6312284Z Entering 'third_party/gemmlowp/gemmlowp'
2025-08-14T22:31:58.6373738Z Entering 'third_party/gloo'
2025-08-14T22:31:58.6433822Z Entering 'third_party/googletest'
2025-08-14T22:31:58.6493734Z Entering 'third_party/ideep'
2025-08-14T22:31:58.6553148Z Entering 'third_party/ideep/mkl-dnn'
2025-08-14T22:31:58.6621211Z Entering 'third_party/ittapi'
2025-08-14T22:31:58.6680833Z Entering 'third_party/kineto'
2025-08-14T22:31:58.6741525Z Entering 'third_party/kineto/libkineto/third_party/dynolog'
2025-08-14T22:31:58.6799622Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-08-14T22:31:58.6859050Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-08-14T22:31:58.6919011Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-08-14T22:31:58.6976847Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-08-14T22:31:58.7033694Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-08-14T22:31:58.7096010Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-08-14T22:31:58.7156181Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-08-14T22:31:58.7214196Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-08-14T22:31:58.7275443Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-08-14T22:31:58.7338931Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2025-08-14T22:31:58.7396356Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2025-08-14T22:31:58.7462915Z Entering 'third_party/kleidiai'
2025-08-14T22:31:58.7524156Z Entering 'third_party/mimalloc'
2025-08-14T22:31:58.7584031Z Entering 'third_party/nlohmann'
2025-08-14T22:31:58.7647551Z Entering 'third_party/onnx'
2025-08-14T22:31:58.7728516Z Entering 'third_party/onnx/third_party/pybind11'
2025-08-14T22:31:58.7792302Z Entering 'third_party/opentelemetry-cpp'
2025-08-14T22:31:58.7854510Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-08-14T22:31:58.7912094Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-08-14T22:31:58.7970822Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-08-14T22:31:58.8029380Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-08-14T22:31:58.8088591Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-08-14T22:31:58.8146891Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-08-14T22:31:58.8204302Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-08-14T22:31:58.8264343Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-08-14T22:31:58.8325485Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-08-14T22:31:58.8387666Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-08-14T22:31:58.8468288Z Entering 'third_party/pocketfft'
2025-08-14T22:31:58.8528565Z Entering 'third_party/protobuf'
2025-08-14T22:31:58.8590559Z Entering 'third_party/protobuf/third_party/benchmark'
2025-08-14T22:31:58.8648388Z Entering 'third_party/protobuf/third_party/googletest'
2025-08-14T22:31:58.8710008Z Entering 'third_party/psimd'
2025-08-14T22:31:58.8771262Z Entering 'third_party/pthreadpool'
2025-08-14T22:31:58.8832589Z Entering 'third_party/pybind11'
2025-08-14T22:31:58.8893003Z Entering 'third_party/python-peachpy'
2025-08-14T22:31:58.8953140Z Entering 'third_party/sleef'
2025-08-14T22:31:58.9012430Z Entering 'third_party/tensorpipe'
2025-08-14T22:31:58.9073147Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-08-14T22:31:58.9130466Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-08-14T22:31:58.9193420Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-08-14T22:31:58.9251765Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-08-14T22:31:58.9307468Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-08-14T22:31:58.9391783Z ##[endgroup]
2025-08-14T22:31:58.9442170Z [command]/usr/bin/git log -1 --format=%H
2025-08-14T22:31:58.9474408Z 1fc683cf17c8c673044538d10266c00f92987be2
2025-08-14T22:31:58.9695371Z Prepare all required actions
2025-08-14T22:31:58.9695876Z Getting action download info
2025-08-14T22:31:59.0764489Z ##[group]Run ./.github/actions/setup-linux
2025-08-14T22:31:59.0764800Z env:
2025-08-14T22:31:59.0765016Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:31:59.0765261Z ##[endgroup]
2025-08-14T22:31:59.0808838Z ##[group]Run set -euo pipefail
2025-08-14T22:31:59.0809162Z set -euo pipefail
2025-08-14T22:31:59.0809449Z function get_ec2_metadata() {
2025-08-14T22:31:59.0809809Z   # Pulled from instance metadata endpoint for EC2
2025-08-14T22:31:59.0810413Z   # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html
2025-08-14T22:31:59.0810971Z   category=$1
2025-08-14T22:31:59.0811446Z   # If it is GCP runner (runner name contains gcp), do not run this
2025-08-14T22:31:59.0811864Z   runner_name_str=i-02cf658f0b64e8296
2025-08-14T22:31:59.0812223Z   if [[ -f /.inarc ]]; then
2025-08-14T22:31:59.0812559Z     echo "ARC Runner, no info on ec2 metadata"
2025-08-14T22:31:59.0812942Z   elif [[ $runner_name_str == *"gcp"* ]]; then
2025-08-14T22:31:59.0813393Z     echo "Runner is from Google Cloud Platform, No info on ec2 metadata"
2025-08-14T22:31:59.0813806Z   else
2025-08-14T22:31:59.0814625Z     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}"
2025-08-14T22:31:59.0815498Z   fi
2025-08-14T22:31:59.0815899Z }
2025-08-14T22:31:59.0816164Z echo "ami-id: $(get_ec2_metadata ami-id)"
2025-08-14T22:31:59.0816579Z echo "instance-id: $(get_ec2_metadata instance-id)"
2025-08-14T22:31:59.0817042Z echo "instance-type: $(get_ec2_metadata instance-type)"
2025-08-14T22:31:59.0817445Z echo "system info $(uname -a)"
2025-08-14T22:31:59.0831135Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T22:31:59.0831495Z env:
2025-08-14T22:31:59.0831713Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:31:59.0831960Z ##[endgroup]
2025-08-14T22:31:59.1015799Z ami-id: ami-05ffe3c48a9991133
2025-08-14T22:31:59.1142404Z instance-id: i-02cf658f0b64e8296
2025-08-14T22:31:59.1266630Z instance-type: g5.4xlarge
2025-08-14T22:31:59.1281959Z system info Linux ip-10-0-45-234.ec2.internal 6.1.141-155.222.amzn2023.x86_64 #1 SMP PREEMPT_DYNAMIC Tue Jun 17 10:29:47 UTC 2025 x86_64 x86_64 x86_64 GNU/Linux
2025-08-14T22:31:59.1310861Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-08-14T22:31:59.1311751Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-08-14T22:31:59.1322012Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T22:31:59.1322380Z env:
2025-08-14T22:31:59.1322601Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:31:59.1322859Z ##[endgroup]
2025-08-14T22:31:59.1402103Z ##[group]Run if systemctl is-active --quiet docker; then
2025-08-14T22:31:59.1402546Z if systemctl is-active --quiet docker; then
2025-08-14T22:31:59.1402920Z     echo "Docker daemon is running...";
2025-08-14T22:31:59.1403248Z else
2025-08-14T22:31:59.1403590Z     echo "Starting docker daemon..." && sudo systemctl start docker;
2025-08-14T22:31:59.1403999Z fi
2025-08-14T22:31:59.1413638Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T22:31:59.1414024Z env:
2025-08-14T22:31:59.1414244Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:31:59.1414514Z ##[endgroup]
2025-08-14T22:31:59.1518031Z Docker daemon is running...
2025-08-14T22:31:59.1566782Z ##[group]Run nick-fields/retry@v3.0.0
2025-08-14T22:31:59.1567080Z with:
2025-08-14T22:31:59.1567294Z   shell: bash
2025-08-14T22:31:59.1567728Z   timeout_minutes: 5
2025-08-14T22:31:59.1567977Z   max_attempts: 3
2025-08-14T22:31:59.1568212Z   retry_wait_seconds: 30
2025-08-14T22:31:59.1570348Z   command: AWS_ACCOUNT_ID=$(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

2025-08-14T22:31:59.1572665Z   polling_interval_seconds: 1
2025-08-14T22:31:59.1572956Z   warning_on_retry: true
2025-08-14T22:31:59.1573222Z   continue_on_error: false
2025-08-14T22:31:59.1573473Z env:
2025-08-14T22:31:59.1573697Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:31:59.1573965Z   AWS_RETRY_MODE: standard
2025-08-14T22:31:59.1574222Z   AWS_MAX_ATTEMPTS: 5
2025-08-14T22:31:59.1574491Z   AWS_DEFAULT_REGION: us-east-1
2025-08-14T22:31:59.1574761Z ##[endgroup]
2025-08-14T22:32:00.3549636Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-08-14T22:32:00.3550229Z Configure a credential helper to remove this warning. See
2025-08-14T22:32:00.3550778Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-08-14T22:32:00.3551145Z 
2025-08-14T22:32:00.3551249Z Login Succeeded
2025-08-14T22:32:01.2926277Z Command completed after 1 attempt(s).
2025-08-14T22:32:01.3011678Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-08-14T22:32:01.3012202Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-08-14T22:32:01.3012650Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-08-14T22:32:01.3022616Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T22:32:01.3022982Z env:
2025-08-14T22:32:01.3023202Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:32:01.3023464Z ##[endgroup]
2025-08-14T22:32:01.3133779Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty
2025-08-14T22:32:01.3134323Z # ignore expansion of "docker ps -q" since it could be empty
2025-08-14T22:32:01.3134739Z # shellcheck disable=SC2046
2025-08-14T22:32:01.3135071Z docker stop $(docker ps -q) || true
2025-08-14T22:32:01.3135407Z # Prune all of the docker images
2025-08-14T22:32:01.3135751Z docker system prune -af
2025-08-14T22:32:01.3144172Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T22:32:01.3144522Z env:
2025-08-14T22:32:01.3144734Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:32:01.3144987Z ##[endgroup]
2025-08-14T22:32:01.3436932Z "docker stop" requires at least 1 argument.
2025-08-14T22:32:01.3437407Z See 'docker stop --help'.
2025-08-14T22:32:01.3437592Z 
2025-08-14T22:32:01.3437778Z Usage:  docker stop [OPTIONS] CONTAINER [CONTAINER...]
2025-08-14T22:32:01.3438045Z 
2025-08-14T22:32:01.3438154Z Stop one or more running containers
2025-08-14T22:32:01.3808078Z Total reclaimed space: 0B
2025-08-14T22:32:01.3865500Z ##[group]Run set +e
2025-08-14T22:32:01.3865772Z set +e
2025-08-14T22:32:01.3875533Z set -x
2025-08-14T22:32:01.3875836Z 
2025-08-14T22:32:01.3876164Z PT_DOMAIN=download.pytorch.org
2025-08-14T22:32:01.3876782Z # TODO: Flaky access to download.pytorch.org https://github.com/pytorch/pytorch/issues/100400,
2025-08-14T22:32:01.3877485Z # cleaning this up once the issue is fixed. There are more than one resolved IP here, the last
2025-08-14T22:32:01.3877984Z # one is returned at random
2025-08-14T22:32:01.3878352Z RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" | tail -n1)
2025-08-14T22:32:01.3878700Z 
2025-08-14T22:32:01.3879138Z if [ -z "${RESOLVED_IP}" ]; then
2025-08-14T22:32:01.3879544Z   echo "Couldn't resolve ${PT_DOMAIN}, retrying with Google DNS..."
2025-08-14T22:32:01.3880023Z   RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" @8.8.8.8 | tail -n1)
2025-08-14T22:32:01.3880384Z 
2025-08-14T22:32:01.3880600Z   if [ -z "${RESOLVED_IP}" ]; then
2025-08-14T22:32:01.3880969Z     echo "Couldn't resolve ${PT_DOMAIN}, exiting..."
2025-08-14T22:32:01.3881319Z     exit 1
2025-08-14T22:32:01.3881544Z   fi
2025-08-14T22:32:01.3881752Z fi
2025-08-14T22:32:01.3881954Z 
2025-08-14T22:32:01.3882204Z if grep -r "${PT_DOMAIN}" /etc/hosts; then
2025-08-14T22:32:01.3882553Z   # Clean up any old records first
2025-08-14T22:32:01.3882897Z   sudo sed -i "/${PT_DOMAIN}/d" /etc/hosts
2025-08-14T22:32:01.3883201Z fi
2025-08-14T22:32:01.3883394Z 
2025-08-14T22:32:01.3883693Z echo "${RESOLVED_IP} ${PT_DOMAIN}" | sudo tee -a /etc/hosts
2025-08-14T22:32:01.3884069Z cat /etc/hosts
2025-08-14T22:32:01.3893511Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T22:32:01.3893899Z env:
2025-08-14T22:32:01.3894120Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:32:01.3894381Z ##[endgroup]
2025-08-14T22:32:01.3925458Z + PT_DOMAIN=download.pytorch.org
2025-08-14T22:32:01.3933917Z ++ dig -4 +short download.pytorch.org
2025-08-14T22:32:01.3934236Z ++ tail -n1
2025-08-14T22:32:01.4414007Z + RESOLVED_IP=18.160.10.76
2025-08-14T22:32:01.4414313Z + '[' -z 18.160.10.76 ']'
2025-08-14T22:32:01.4414605Z + grep -r download.pytorch.org /etc/hosts
2025-08-14T22:32:01.4436454Z + echo '18.160.10.76 download.pytorch.org'
2025-08-14T22:32:01.4438159Z + sudo tee -a /etc/hosts
2025-08-14T22:32:01.8631237Z 18.160.10.76 download.pytorch.org
2025-08-14T22:32:01.8655264Z + cat /etc/hosts
2025-08-14T22:32:01.8668099Z 127.0.0.1   localhost localhost.localdomain localhost4 localhost4.localdomain4
2025-08-14T22:32:01.8674236Z ::1         localhost6 localhost6.localdomain6
2025-08-14T22:32:01.8674598Z 18.160.10.76 download.pytorch.org
2025-08-14T22:32:01.8837555Z ##[group]Run pytorch/test-infra/.github/actions/calculate-docker-image@main
2025-08-14T22:32:01.8838001Z with:
2025-08-14T22:32:01.8838880Z   docker-image-name: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T22:32:01.8839857Z   use-custom-docker-registry: true
2025-08-14T22:32:01.8840164Z   docker-build-dir: .ci/docker
2025-08-14T22:32:01.8840453Z   docker-build-script: ./build.sh
2025-08-14T22:32:01.8840754Z   working-directory: .
2025-08-14T22:32:01.8841085Z   docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-08-14T22:32:01.8841465Z   force-push: false
2025-08-14T22:32:01.8841684Z env:
2025-08-14T22:32:01.8841882Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:32:01.8842135Z ##[endgroup]
2025-08-14T22:32:01.8867704Z ##[group]Run set -ex
2025-08-14T22:32:01.8867982Z set -ex
2025-08-14T22:32:01.8868197Z 
2025-08-14T22:32:01.8868590Z # If the docker build directory or the build script doesn't exist, the action will
2025-08-14T22:32:01.8869223Z # gracefully return the docker image name as it is.  Pulling docker image in Linux
2025-08-14T22:32:01.8869760Z # job could then download the pre-built image as usual
2025-08-14T22:32:01.8870402Z if [[ -d "${DOCKER_BUILD_DIR}" ]] && [[ -f "${DOCKER_BUILD_DIR}/${DOCKER_BUILD_SCRIPT}" ]] && [[ "${USE_CUSTOM_DOCKER_REGISTRY}" == "true" ]]; then
2025-08-14T22:32:01.8871007Z   echo "skip=false" >> "${GITHUB_OUTPUT}"
2025-08-14T22:32:01.8871323Z else
2025-08-14T22:32:01.8871576Z   echo "skip=true" >> "${GITHUB_OUTPUT}"
2025-08-14T22:32:01.8872003Z   echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}"
2025-08-14T22:32:01.8872390Z 
2025-08-14T22:32:01.8872914Z   echo "Not using custom ECR registry.  Either it was not requested or there is no Docker build script in the ${REPO_NAME} repo..."
2025-08-14T22:32:01.8873512Z   exit 0
2025-08-14T22:32:01.8873727Z fi
2025-08-14T22:32:01.8873923Z 
2025-08-14T22:32:01.8874246Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_REGISTRY}/${REPO_NAME}"* ]]; then
2025-08-14T22:32:01.8874818Z   # The docker image name already includes the ECR prefix and tag, so we can just
2025-08-14T22:32:01.8875321Z   # use it as it is, but first let's extract the tag
2025-08-14T22:32:01.8875779Z   DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}')
2025-08-14T22:32:01.8876318Z   echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2025-08-14T22:32:01.8876790Z   echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}"
2025-08-14T22:32:01.8877176Z else
2025-08-14T22:32:01.8877428Z   if [[ "${DOCKER_IMAGE_NAME}" == *:* ]]; then
2025-08-14T22:32:01.8877798Z     CUSTOM_TAG_PREFIX=${DOCKER_IMAGE_NAME#*:}
2025-08-14T22:32:01.8878178Z     DOCKER_IMAGE_NAME=${DOCKER_IMAGE_NAME%%:*}
2025-08-14T22:32:01.8878493Z   fi
2025-08-14T22:32:01.8878919Z   DOCKER_TAG=${CUSTOM_TAG_PREFIX:+${CUSTOM_TAG_PREFIX}-}$(git rev-parse HEAD:"${DOCKER_BUILD_DIR}")
2025-08-14T22:32:01.8879501Z   echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2025-08-14T22:32:01.8880112Z   echo "docker-image=${DOCKER_REGISTRY}/${REPO_NAME}/${DOCKER_IMAGE_NAME}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2025-08-14T22:32:01.8880770Z   echo "custom-tag-prefix=${CUSTOM_TAG_PREFIX}" >> "${GITHUB_OUTPUT}"
2025-08-14T22:32:01.8881333Z fi
2025-08-14T22:32:01.8895745Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T22:32:01.8896097Z env:
2025-08-14T22:32:01.8896311Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:32:01.8896572Z   REPO_NAME: pytorch
2025-08-14T22:32:01.8897597Z   DOCKER_IMAGE_NAME: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T22:32:01.8898552Z   DOCKER_BUILD_DIR: .ci/docker
2025-08-14T22:32:01.8898831Z   DOCKER_BUILD_SCRIPT: ./build.sh
2025-08-14T22:32:01.8899199Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-08-14T22:32:01.8899585Z   USE_CUSTOM_DOCKER_REGISTRY: true
2025-08-14T22:32:01.8899869Z   CUSTOM_TAG_PREFIX: 
2025-08-14T22:32:01.8900101Z ##[endgroup]
2025-08-14T22:32:01.8936364Z + [[ -d .ci/docker ]]
2025-08-14T22:32:01.8936663Z + [[ -f .ci/docker/./build.sh ]]
2025-08-14T22:32:01.8936958Z + [[ true == \t\r\u\e ]]
2025-08-14T22:32:01.8937199Z + echo skip=false
2025-08-14T22:32:01.8938364Z + [[ 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe == *\3\0\8\5\3\5\3\8\5\1\1\4\.\d\k\r\.\e\c\r\.\u\s\-\e\a\s\t\-\1\.\a\m\a\z\o\n\a\w\s\.\c\o\m\/\p\y\t\o\r\c\h* ]]
2025-08-14T22:32:01.8945471Z ++ echo 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T22:32:01.8946401Z ++ awk -F '[:,]' '{print $2}'
2025-08-14T22:32:01.8975335Z + DOCKER_TAG=pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T22:32:01.8976482Z + echo docker-tag=pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T22:32:01.8977880Z + echo docker-image=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T22:32:01.9020199Z ##[group]Run set +e
2025-08-14T22:32:01.9020477Z set +e
2025-08-14T22:32:01.9020690Z set -x
2025-08-14T22:32:01.9020903Z 
2025-08-14T22:32:01.9021106Z login() {
2025-08-14T22:32:01.9021566Z   aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1"
2025-08-14T22:32:01.9022060Z }
2025-08-14T22:32:01.9022258Z 
2025-08-14T22:32:01.9022453Z retry () {
2025-08-14T22:32:01.9022719Z   $*  || (sleep 1 && $*) || (sleep 2 && $*)
2025-08-14T22:32:01.9023019Z }
2025-08-14T22:32:01.9023223Z 
2025-08-14T22:32:01.9023447Z retry login "${DOCKER_REGISTRY}"
2025-08-14T22:32:01.9024109Z 
2025-08-14T22:32:01.9024328Z START_TIME=$(date +%s)
2025-08-14T22:32:01.9024614Z # Wait up to 120 minutes
2025-08-14T22:32:01.9024968Z while [[ $(( $(date +%s) - 7200 )) -lt $START_TIME ]]; do
2025-08-14T22:32:01.9025438Z   # Check if image already exists, if it does then skip building it
2025-08-14T22:32:01.9025900Z   if docker manifest inspect "${DOCKER_IMAGE}"; then
2025-08-14T22:32:01.9026297Z     exit 0
2025-08-14T22:32:01.9026525Z   fi
2025-08-14T22:32:01.9026737Z 
2025-08-14T22:32:01.9027092Z   # NB: This flag is used by Docker build workflow to push the image to ECR, so we can
2025-08-14T22:32:01.9027704Z   # use this to differentiate between the Docker build and regular build jobs. For the
2025-08-14T22:32:01.9028329Z   # latter, it will wait for the Docker images to become available before continuing
2025-08-14T22:32:01.9028820Z   if [ "${DOCKER_PUSH:-false}" == "true" ]; then
2025-08-14T22:32:01.9029197Z     # It's a Docker build job, let's build the image
2025-08-14T22:32:01.9029701Z     break
2025-08-14T22:32:01.9029928Z   else
2025-08-14T22:32:01.9030257Z     # It's a regular build job, wait for the image to become available
2025-08-14T22:32:01.9030651Z     sleep 300
2025-08-14T22:32:01.9030888Z   fi
2025-08-14T22:32:01.9031094Z done
2025-08-14T22:32:01.9031301Z 
2025-08-14T22:32:01.9031772Z # NB: This part requires a full checkout. Otherwise, the merge base will
2025-08-14T22:32:01.9032313Z # be empty.  The default action would be to continue rebuild the image
2025-08-14T22:32:01.9032795Z if [[ "$BASE_REVISION" = "$(git rev-parse HEAD)" ]]; then
2025-08-14T22:32:01.9033229Z   # if we're on the base branch then use the parent commit
2025-08-14T22:32:01.9033613Z   MERGE_BASE=$(git rev-parse HEAD~)
2025-08-14T22:32:01.9033905Z else
2025-08-14T22:32:01.9034212Z   # otherwise we're on a PR, so use the most recent base commit
2025-08-14T22:32:01.9034668Z   MERGE_BASE=$(git merge-base HEAD "$BASE_REVISION")
2025-08-14T22:32:01.9035008Z fi
2025-08-14T22:32:01.9035204Z 
2025-08-14T22:32:01.9035429Z if [[ -z "${MERGE_BASE}" ]]; then
2025-08-14T22:32:01.9035767Z   echo "rebuild=true" >> "${GITHUB_OUTPUT}"
2025-08-14T22:32:01.9036072Z 
2025-08-14T22:32:01.9036516Z   echo "Finding merge base only works with full checkout, please set fetch-depth to 0, continuing ..."
2025-08-14T22:32:01.9037029Z   exit 0
2025-08-14T22:32:01.9037237Z fi
2025-08-14T22:32:01.9037437Z 
2025-08-14T22:32:01.9037730Z if ! git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}"; then
2025-08-14T22:32:01.9038362Z   echo "Directory '${DOCKER_BUILD_DIR}' not found in commit $MERGE_BASE, you should rebase onto a more recent commit"
2025-08-14T22:32:01.9038892Z   exit 1
2025-08-14T22:32:01.9039109Z fi
2025-08-14T22:32:01.9039310Z 
2025-08-14T22:32:01.9039646Z PREVIOUS_DOCKER_TAG=$(git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}")
2025-08-14T22:32:01.9040263Z # If no image exists but the hash is the same as the previous hash then we should error out here
2025-08-14T22:32:01.9040818Z if [[ "${PREVIOUS_DOCKER_TAG}" == "${DOCKER_TAG}" ]]; then
2025-08-14T22:32:01.9041461Z   echo "WARNING: Something has gone wrong and the previous image isn't available for the merge-base of your branch"
2025-08-14T22:32:01.9042174Z   echo "         Will re-build docker image to store in local cache, TTS may be longer"
2025-08-14T22:32:01.9042601Z fi
2025-08-14T22:32:01.9042804Z 
2025-08-14T22:32:01.9043061Z echo "rebuild=true" >> "${GITHUB_OUTPUT}"
2025-08-14T22:32:01.9052009Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T22:32:01.9052365Z env:
2025-08-14T22:32:01.9052578Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:32:01.9052844Z   DOCKER_BUILD_DIR: .ci/docker
2025-08-14T22:32:01.9053174Z   BASE_REVISION: 1fc683cf17c8c673044538d10266c00f92987be2
2025-08-14T22:32:01.9054157Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T22:32:01.9055474Z   DOCKER_TAG: pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T22:32:01.9056235Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-08-14T22:32:01.9056599Z   DOCKER_PUSH: 
2025-08-14T22:32:01.9056814Z ##[endgroup]
2025-08-14T22:32:01.9085573Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-08-14T22:32:01.9085991Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-08-14T22:32:01.9088857Z + aws ecr get-login-password --region us-east-1
2025-08-14T22:32:01.9090797Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-08-14T22:32:02.4521939Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-08-14T22:32:02.4523107Z Configure a credential helper to remove this warning. See
2025-08-14T22:32:02.4524455Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-08-14T22:32:02.4525190Z 
2025-08-14T22:32:02.4525378Z Login Succeeded
2025-08-14T22:32:02.4549013Z ++ date +%s
2025-08-14T22:32:02.4563224Z + START_TIME=1755210722
2025-08-14T22:32:02.4566745Z ++ date +%s
2025-08-14T22:32:02.4579056Z + [[ 1755203522 -lt 1755210722 ]]
2025-08-14T22:32:02.4580041Z + docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe
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2025-08-14T22:32:02.7118125Z 		{
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2025-08-14T22:32:02.7118818Z 			"size": 32,
2025-08-14T22:32:02.7119208Z 			"digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1"
2025-08-14T22:32:02.7119645Z 		}
2025-08-14T22:32:02.7119820Z 	]
2025-08-14T22:32:02.7119997Z }
2025-08-14T22:32:02.7120191Z + exit 0
2025-08-14T22:32:02.7154812Z ##[group]Run set -eux
2025-08-14T22:32:02.7155072Z set -eux
2025-08-14T22:32:02.7155881Z aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token | jq --raw-output '.SecretString' | jq -r .docker_hub_readonly_token | docker login --username pytorchbot --password-stdin
2025-08-14T22:32:02.7166169Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T22:32:02.7166562Z env:
2025-08-14T22:32:02.7166786Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:32:02.7167052Z ##[endgroup]
2025-08-14T22:32:02.7201453Z + aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token
2025-08-14T22:32:02.7202726Z + jq --raw-output .SecretString
2025-08-14T22:32:02.7204841Z + jq -r .docker_hub_readonly_token
2025-08-14T22:32:02.7205521Z + docker login --username pytorchbot --password-stdin
2025-08-14T22:32:03.2904813Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-08-14T22:32:03.2905402Z Configure a credential helper to remove this warning. See
2025-08-14T22:32:03.2906059Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-08-14T22:32:03.2906440Z 
2025-08-14T22:32:03.2906567Z Login Succeeded
2025-08-14T22:32:03.3004808Z ##[group]Run tag=${ECR_DOCKER_IMAGE##*:}
2025-08-14T22:32:03.3005326Z tag=${ECR_DOCKER_IMAGE##*:}
2025-08-14T22:32:03.3017566Z echo "docker pull ghcr.io/pytorch/ci-image:${tag/:/-}"
2025-08-14T22:32:03.3027165Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T22:32:03.3027531Z env:
2025-08-14T22:32:03.3027751Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:32:03.3028660Z   ECR_DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T22:32:03.3029590Z ##[endgroup]
2025-08-14T22:32:03.3062203Z docker pull ghcr.io/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T22:32:03.3115937Z ##[group]Run pytorch/test-infra/.github/actions/pull-docker-image@main
2025-08-14T22:32:03.3116358Z with:
2025-08-14T22:32:03.3117220Z   docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T22:32:03.3118429Z   docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-08-14T22:32:03.3118797Z env:
2025-08-14T22:32:03.3119008Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:32:03.3119263Z ##[endgroup]
2025-08-14T22:32:03.3142283Z ##[group]Run set -x
2025-08-14T22:32:03.3142546Z set -x
2025-08-14T22:32:03.3142764Z set +e
2025-08-14T22:32:03.3142975Z 
2025-08-14T22:32:03.3143171Z login() {
2025-08-14T22:32:03.3143625Z   aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1"
2025-08-14T22:32:03.3144119Z }
2025-08-14T22:32:03.3144313Z 
2025-08-14T22:32:03.3144541Z retry () {
2025-08-14T22:32:03.3144802Z   $*  || (sleep 1 && $*) || (sleep 2 && $*)
2025-08-14T22:32:03.3145103Z }
2025-08-14T22:32:03.3145314Z 
2025-08-14T22:32:03.3145539Z retry login "${DOCKER_REGISTRY}"
2025-08-14T22:32:03.3145823Z 
2025-08-14T22:32:03.3146278Z IMAGE_SIZE=$(docker manifest inspect "${DOCKER_IMAGE}" | jq '[.layers[].size, .config.size] | add / 1024 / 1024')
2025-08-14T22:32:03.3146938Z echo "Compressed size of image in MB: ${IMAGE_SIZE}"
2025-08-14T22:32:03.3147294Z 
2025-08-14T22:32:03.3147493Z set -e
2025-08-14T22:32:03.3147815Z # ignore output since only exit code is used for conditional
2025-08-14T22:32:03.3148276Z # only pull docker image if it's not available locally
2025-08-14T22:32:03.3148776Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then
2025-08-14T22:32:03.3149245Z   retry docker pull "${DOCKER_IMAGE}"
2025-08-14T22:32:03.3149544Z fi
2025-08-14T22:32:03.3158440Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T22:32:03.3158803Z env:
2025-08-14T22:32:03.3159017Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:32:03.3159908Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T22:32:03.3160918Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-08-14T22:32:03.3161292Z ##[endgroup]
2025-08-14T22:32:03.3191862Z + set +e
2025-08-14T22:32:03.3192170Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-08-14T22:32:03.3192582Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-08-14T22:32:03.3195951Z + aws ecr get-login-password --region us-east-1
2025-08-14T22:32:03.3197675Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-08-14T22:32:03.8558112Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-08-14T22:32:03.8558704Z Configure a credential helper to remove this warning. See
2025-08-14T22:32:03.8559272Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-08-14T22:32:03.8559696Z 
2025-08-14T22:32:03.8559847Z Login Succeeded
2025-08-14T22:32:03.8593847Z ++ docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T22:32:03.8594917Z ++ jq '[.layers[].size, .config.size] | add / 1024 / 1024'
2025-08-14T22:32:04.0899591Z + IMAGE_SIZE=35244.522168159485
2025-08-14T22:32:04.0900018Z Compressed size of image in MB: 35244.522168159485
2025-08-14T22:32:04.0900443Z + echo 'Compressed size of image in MB: 35244.522168159485'
2025-08-14T22:32:04.0900790Z + set -e
2025-08-14T22:32:04.0902000Z + docker inspect --type=image 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T22:32:04.1047776Z + retry docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T22:32:04.1049642Z + docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T22:32:04.3490410Z pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe: Pulling from pytorch/ci-image
2025-08-14T22:32:04.3491384Z 660ffc76f83b: Pulling fs layer
2025-08-14T22:32:04.3492440Z fda14a1f7aee: Pulling fs layer
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2025-08-14T22:32:04.3503695Z 8eee3a81e146: Pulling fs layer
2025-08-14T22:32:04.3503965Z efb9b87b42b2: Waiting
2025-08-14T22:32:04.3504219Z dc5ba2aaa7fa: Pulling fs layer
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2025-08-14T22:32:04.4354323Z fda14a1f7aee: Verifying Checksum
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2025-08-14T22:44:47.4091612Z Digest: sha256:050f239443bf26df408844afdffcd5ccf5a75a6adfa00bd4f0d2af41684beff7
2025-08-14T22:44:47.4165490Z Status: Downloaded newer image for 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T22:44:47.4224798Z 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T22:44:47.4290283Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-08-14T22:44:47.4291317Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-08-14T22:44:47.4305351Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T22:44:47.4305729Z env:
2025-08-14T22:44:47.4305957Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:44:47.4306217Z ##[endgroup]
2025-08-14T22:44:47.4496266Z ##[group]Run pytorch/test-infra/.github/actions/setup-nvidia@main
2025-08-14T22:44:47.4496675Z with:
2025-08-14T22:44:47.4496890Z   driver-version: 570.133.07
2025-08-14T22:44:47.4497146Z env:
2025-08-14T22:44:47.4497356Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:44:47.4497603Z ##[endgroup]
2025-08-14T22:44:47.4563267Z ##[group]Run nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482
2025-08-14T22:44:47.4563674Z with:
2025-08-14T22:44:47.4563879Z   timeout_minutes: 10
2025-08-14T22:44:47.4564118Z   max_attempts: 3
2025-08-14T22:44:47.4589784Z   command: # Is it disgusting to have a full shell script here in this github action? Sure
# But is it the best way to make it so that this action relies on nothing else? Absolutely
set -eou pipefail

DISTRIBUTION=$(. /etc/os-release;echo $ID$VERSION_ID)
DRIVER_FN="NVIDIA-Linux-x86_64-${DRIVER_VERSION}.run"

install_nvidia_docker2_amzn2() {
    (
        set -x
        # Needed for yum-config-manager
        sudo yum install -y yum-utils
        if [[ "${DISTRIBUTION}" == "amzn2023" ]] ; then
          YUM_REPO_URL="https://nvidia.github.io/libnvidia-container/stable/rpm/nvidia-container-toolkit.repo"
        else
          # Amazon Linux 2
          YUM_REPO_URL="https://nvidia.github.io/nvidia-docker/${DISTRIBUTION}/nvidia-docker.repo"
        fi

        sudo yum-config-manager --add-repo "${YUM_REPO_URL}"
        sudo yum install -y \
          nvidia-container-toolkit-1.17.8 \
          libnvidia-container-tools-1.17.8 \
          libnvidia-container1-1.17.8 \
          nvidia-container-toolkit-base-1.17.8
        sudo systemctl restart docker
    )
}

install_nvidia_docker2_ubuntu20() {
    (
        set -x
        # Install nvidia-driver package if not installed
        status="$(dpkg-query -W --showformat='${db:Status-Status}' nvidia-docker2 2>&1)"
        if [ ! $? = 0 ] || [ ! "$status" = installed ]; then
          sudo apt-get install -y nvidia-container-toolkit-1.17.8
          sudo systemctl restart docker
        fi
    )
}

pre_install_nvidia_driver_amzn2() {
    (
        # Purge any nvidia driver installed from RHEL repo
        sudo yum remove -y nvidia-driver-latest-dkms
    )
}

install_nvidia_driver_common() {
    (
        # Try to gather more information about the runner and its existing NVIDIA driver if any
        echo "Before installing NVIDIA driver"
        lspci
        lsmod
        modinfo nvidia || true

        HAS_NVIDIA_DRIVER=0
        # Check if NVIDIA driver has already been installed
        if [ -x "$(command -v nvidia-smi)" ]; then
            set +e
            # The driver exists, check its version next. Also check only the first GPU if there are more than one of them
            # so that the same driver version is not print over multiple lines
            INSTALLED_DRIVER_VERSION=$(nvidia-smi --query-gpu=driver_version --format=csv,noheader --id=0)
            NVIDIA_SMI_STATUS=$?

            if [ "$NVIDIA_SMI_STATUS" -ne 0 ] && [ "$NVIDIA_SMI_STATUS" -ne 14 ]; then
                echo "Failed to get NVIDIA driver version ($INSTALLED_DRIVER_VERSION). Continuing"
            elif [ "$INSTALLED_DRIVER_VERSION" != "$DRIVER_VERSION" ]; then
                echo "NVIDIA driver ($INSTALLED_DRIVER_VERSION) has been installed, but we expect to have $DRIVER_VERSION instead. Continuing"

                # Turn off persistent mode so that the installation script can unload the kernel module
                sudo killall nvidia-persistenced || true
            else
                HAS_NVIDIA_DRIVER=1
                echo "NVIDIA driver ($INSTALLED_DRIVER_VERSION) has already been installed. Skipping NVIDIA driver installation"
            fi
            set -e
        fi

        if [ "$HAS_NVIDIA_DRIVER" -eq 0 ]; then
            # CAUTION: this may need to be updated in future
            if [ "${DISTRIBUTION}" != ubuntu20.04 ]; then
                  sudo yum groupinstall -y "Development Tools"
                  # ensure our kernel install is the same as our underlying kernel,
                  # groupinstall "Development Tools" has a habit of mismatching kernel headers
                  sudo yum install -y "kernel-devel-uname-r == $(uname -r)"
                  sudo modprobe backlight
            fi
            sudo curl -fsL -o /tmp/nvidia_driver "https://s3.amazonaws.com/ossci-linux/nvidia_driver/$DRIVER_FN"

            set +e
            sudo /bin/bash /tmp/nvidia_driver -s --no-drm
            NVIDIA_INSTALLATION_STATUS=$?

            RESET_GPU=0
            if [ "$NVIDIA_INSTALLATION_STATUS" -ne 0 ]; then
                sudo cat /var/log/nvidia-installer.log
                # Fail to install NVIDIA driver, try to reset the GPU
                RESET_GPU=1
            elif [ -x "$(command -v nvidia-smi)" ]; then
                # Check again if nvidia-smi works even if the driver installation completes successfully
                INSTALLED_DRIVER_VERSION=$(nvidia-smi --query-gpu=driver_version --format=csv,noheader --id=0)
                NVIDIA_SMI_STATUS=$?

                if [ "$NVIDIA_SMI_STATUS" -ne 0 ] && [ "$NVIDIA_SMI_STATUS" -ne 14 ]; then
                    RESET_GPU=1
                fi
            fi

            if [ "$RESET_GPU" -eq 1 ]; then
                NVIDIA_DEVICES=$(lspci -D | grep -i NVIDIA | cut -d' ' -f1)
                # The GPU can get stuck in a failure state if somehow the test crashs the GPU microcode. When this
                # happens, we'll try to reset all NVIDIA devices https://github.com/pytorch/pytorch/issues/88388
                for PCI_ID in $NVIDIA_DEVICES; do
                    DEVICE_ENABLED=$(cat /sys/bus/pci/devices/$PCI_ID/enable)

                    echo "Reseting $PCI_ID (enabled state: $DEVICE_ENABLED)"
                    # This requires sudo permission of course
                    echo "1" | sudo tee /sys/bus/pci/devices/$PCI_ID/reset
                    sleep 1
                done
            fi

            sudo rm -fv /tmp/nvidia_driver
            set -e
        fi
    )
}

post_install_nvidia_driver_common() {
    (
        sudo modprobe nvidia || true
        echo "After installing NVIDIA driver"
        lspci
        lsmod
        modinfo nvidia || true

        (
            set +e

            nvidia-smi
            # NB: Annoyingly, nvidia-smi command returns successfully with return code 0 even in
            # the case where the driver has already crashed as it still can get the driver version
            # and some basic information like the bus ID.  However, the rest of the information
            # would be missing (ERR!), for example:
            #
            # +-----------------------------------------------------------------------------+
            # | NVIDIA-SMI 525.89.02    Driver Version: 525.89.02    CUDA Version: 12.0     |
            # |-------------------------------+----------------------+----------------------+
            # | GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
            # | Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
            # |                               |                      |               MIG M. |
            # |===============================+======================+======================|
            # |   0  ERR!                Off  | 00000000:00:1E.0 Off |                 ERR! |
            # |ERR!  ERR! ERR!    ERR! / ERR! |   4184MiB / 23028MiB |    ERR!      Default |
            # |                               |                      |                 ERR! |
            # +-------------------------------+----------------------+----------------------+
            #
            # +-----------------------------------------------------------------------------+
            # | Processes:                                                                  |
            # |  GPU   GI   CI        PID   Type   Process name                  GPU Memory |
            # |        ID   ID                                                   Usage      |
            # |=============================================================================|
            # +-----------------------------------------------------------------------------+
            #
            # This should be reported as a failure instead as it will guarantee to fail when
            # Docker tries to run with --gpus all
            #
            # So, the correct check here is to query one of the missing piece of info like
            # GPU name, so that the command can fail accordingly
            nvidia-smi --query-gpu=gpu_name --format=csv,noheader --id=0
            NVIDIA_SMI_STATUS=$?

            # Allowable exit statuses for nvidia-smi, see: https://github.com/NVIDIA/gpu-operator/issues/285
            if [ "$NVIDIA_SMI_STATUS" -eq 0 ] || [ "$NVIDIA_SMI_STATUS" -eq 14 ]; then
                echo "INFO: Ignoring allowed status ${NVIDIA_SMI_STATUS}"
            else
                echo "ERROR: nvidia-smi exited with unresolved status ${NVIDIA_SMI_STATUS}"
                exit ${NVIDIA_SMI_STATUS}
            fi
            set -e
        )
    )
}

install_nvidia_driver_amzn2() {
    (
        set -x
        pre_install_nvidia_driver_amzn2
        install_nvidia_driver_common
        post_install_nvidia_driver_common
    )
}

install_nvidia_driver_ubuntu20() {
    (
        set -x
        install_nvidia_driver_common
        post_install_nvidia_driver_common
    )
}

echo "== Installing nvidia driver ${DRIVER_FN} =="
case "${DISTRIBUTION}" in
    amzn*)
        install_nvidia_driver_amzn2
        ;;
    ubuntu20.04)
        install_nvidia_driver_ubuntu20
        ;;
    *)
        echo "ERROR: Unknown distribution ${DISTRIBUTION}"
        exit 1
        ;;
esac

# Install container toolkit based on distribution
echo "== Installing nvidia container toolkit for ${DISTRIBUTION} =="
case "${DISTRIBUTION}" in
    amzn*)
        install_nvidia_docker2_amzn2
        ;;
    ubuntu20.04)
        install_nvidia_docker2_ubuntu20
        ;;
    *)
        echo "ERROR: Unknown distribution ${DISTRIBUTION}"
        exit 1
        ;;
esac
echo "GPU_FLAG=--gpus all -e NVIDIA_DRIVER_CAPABILITIES=all" >> "${GITHUB_ENV}"

# Fix https://github.com/NVIDIA/nvidia-docker/issues/1648 on runners with
# more than one GPUs. This just needs to be run once. The command fails
# on subsequent runs and complains that the mode is already on, but that's
# ok
sudo nvidia-persistenced || true
# This should show persistence mode ON
nvidia-smi

# check if the container-toolkit is correctly installed and CUDA is available inside a container
docker run --rm -t --gpus=all public.ecr.aws/docker/library/python:3.13 nvidia-smi

2025-08-14T22:44:47.4615774Z   retry_wait_seconds: 10
2025-08-14T22:44:47.4616047Z   polling_interval_seconds: 1
2025-08-14T22:44:47.4616324Z   warning_on_retry: true
2025-08-14T22:44:47.4616584Z   continue_on_error: false
2025-08-14T22:44:47.4616836Z env:
2025-08-14T22:44:47.4617037Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:44:47.4617301Z   DRIVER_VERSION: 570.133.07
2025-08-14T22:44:47.4617559Z ##[endgroup]
2025-08-14T22:44:47.6003034Z == Installing nvidia driver NVIDIA-Linux-x86_64-570.133.07.run ==
2025-08-14T22:44:47.6004066Z + pre_install_nvidia_driver_amzn2
2025-08-14T22:44:47.6008931Z + sudo yum remove -y nvidia-driver-latest-dkms
2025-08-14T22:44:48.9970148Z No match for argument: nvidia-driver-latest-dkms
2025-08-14T22:44:48.9971201Z No packages marked for removal.
2025-08-14T22:44:49.0169936Z Dependencies resolved.
2025-08-14T22:44:49.0179995Z Nothing to do.
2025-08-14T22:44:49.0180407Z Complete!
2025-08-14T22:44:49.0760458Z + install_nvidia_driver_common
2025-08-14T22:44:49.0769405Z + echo 'Before installing NVIDIA driver'
2025-08-14T22:44:49.0769825Z + lspci
2025-08-14T22:44:49.0771294Z Before installing NVIDIA driver
2025-08-14T22:44:49.1713603Z 00:00.0 Host bridge: Intel Corporation 440FX - 82441FX PMC [Natoma]
2025-08-14T22:44:49.1714144Z 00:01.0 ISA bridge: Intel Corporation 82371SB PIIX3 ISA [Natoma/Triton II]
2025-08-14T22:44:49.1714722Z 00:01.3 Non-VGA unclassified device: Intel Corporation 82371AB/EB/MB PIIX4 ACPI (rev 08)
2025-08-14T22:44:49.1715520Z 00:03.0 VGA compatible controller: Amazon.com, Inc. Device 1111
2025-08-14T22:44:49.1716036Z 00:04.0 Non-Volatile memory controller: Amazon.com, Inc. NVMe EBS Controller
2025-08-14T22:44:49.1716596Z 00:05.0 Ethernet controller: Amazon.com, Inc. Elastic Network Adapter (ENA)
2025-08-14T22:44:49.1717099Z 00:1e.0 3D controller: NVIDIA Corporation GA102GL [A10G] (rev a1)
2025-08-14T22:44:49.1717603Z 00:1f.0 Non-Volatile memory controller: Amazon.com, Inc. NVMe SSD Controller
2025-08-14T22:44:49.1718028Z + lsmod
2025-08-14T22:44:49.1764748Z Module                  Size  Used by
2025-08-14T22:44:49.1765103Z xt_conntrack           16384  1
2025-08-14T22:44:49.1765381Z nft_chain_nat          16384  3
2025-08-14T22:44:49.1765834Z xt_MASQUERADE          20480  1
2025-08-14T22:44:49.1766183Z nf_nat                 57344  2 nft_chain_nat,xt_MASQUERADE
2025-08-14T22:44:49.1766629Z nf_conntrack_netlink    57344  0
2025-08-14T22:44:49.1767051Z nf_conntrack          184320  4 xt_conntrack,nf_nat,nf_conntrack_netlink,xt_MASQUERADE
2025-08-14T22:44:49.1767515Z nf_defrag_ipv6         24576  1 nf_conntrack
2025-08-14T22:44:49.1767840Z nf_defrag_ipv4         16384  1 nf_conntrack
2025-08-14T22:44:49.1768270Z xfrm_user              57344  1
2025-08-14T22:44:49.1768657Z xfrm_algo              16384  1 xfrm_user
2025-08-14T22:44:49.1769068Z xt_addrtype            16384  2
2025-08-14T22:44:49.1769427Z nft_compat             20480  4
2025-08-14T22:44:49.1769756Z nf_tables             311296  57 nft_compat,nft_chain_nat
2025-08-14T22:44:49.1770185Z nfnetlink              20480  4 nft_compat,nf_conntrack_netlink,nf_tables
2025-08-14T22:44:49.1770582Z br_netfilter           36864  0
2025-08-14T22:44:49.1770886Z bridge                323584  1 br_netfilter
2025-08-14T22:44:49.1771318Z stp                    16384  1 bridge
2025-08-14T22:44:49.1771625Z llc                    16384  2 bridge,stp
2025-08-14T22:44:49.1771926Z overlay               167936  0
2025-08-14T22:44:49.1772201Z tls                   139264  0
2025-08-14T22:44:49.1772458Z nls_ascii              16384  1
2025-08-14T22:44:49.1772733Z nls_cp437              20480  1
2025-08-14T22:44:49.1773001Z vfat                   24576  1
2025-08-14T22:44:49.1773259Z fat                    86016  1 vfat
2025-08-14T22:44:49.1773540Z ena                   180224  0
2025-08-14T22:44:49.1773802Z i8042                  45056  0
2025-08-14T22:44:49.1774065Z ghash_clmulni_intel    16384  0
2025-08-14T22:44:49.1774345Z serio                  28672  3 i8042
2025-08-14T22:44:49.1774641Z button                 24576  0
2025-08-14T22:44:49.1774898Z sunrpc                700416  1
2025-08-14T22:44:49.1775173Z sch_fq_codel           20480  17
2025-08-14T22:44:49.1775456Z fuse                  184320  1
2025-08-14T22:44:49.1775711Z dm_mod                188416  0
2025-08-14T22:44:49.1775977Z loop                   36864  0
2025-08-14T22:44:49.1776243Z configfs               57344  1
2025-08-14T22:44:49.1776514Z dmi_sysfs              20480  0
2025-08-14T22:44:49.1776776Z crc32_pclmul           16384  0
2025-08-14T22:44:49.1777053Z crc32c_intel           24576  0
2025-08-14T22:44:49.1777326Z efivarfs               24576  1
2025-08-14T22:44:49.1777588Z + modinfo nvidia
2025-08-14T22:44:49.1785083Z filename:       /lib/modules/6.1.141-155.222.amzn2023.x86_64/kernel/drivers/video/nvidia.ko
2025-08-14T22:44:49.1785760Z import_ns:      DMA_BUF
2025-08-14T22:44:49.1786115Z alias:          char-major-195-*
2025-08-14T22:44:49.1786489Z version:        570.133.07
2025-08-14T22:44:49.1786846Z supported:      external
2025-08-14T22:44:49.1787177Z license:        Dual MIT/GPL
2025-08-14T22:44:49.1787592Z firmware:       nvidia/570.133.07/gsp_tu10x.bin
2025-08-14T22:44:49.1788087Z firmware:       nvidia/570.133.07/gsp_ga10x.bin
2025-08-14T22:44:49.1788478Z srcversion:     49515739FD8F721A3F2F714
2025-08-14T22:44:49.1788811Z alias:          pci:v000010DEd*sv*sd*bc06sc80i00*
2025-08-14T22:44:49.1789169Z alias:          pci:v000010DEd*sv*sd*bc03sc02i00*
2025-08-14T22:44:49.1789525Z alias:          pci:v000010DEd*sv*sd*bc03sc00i00*
2025-08-14T22:44:49.1790017Z depends:        i2c-core,drm
2025-08-14T22:44:49.1790296Z retpoline:      Y
2025-08-14T22:44:49.1790525Z name:           nvidia
2025-08-14T22:44:49.1790941Z vermagic:       6.1.141-155.222.amzn2023.x86_64 SMP preempt mod_unload modversions 
2025-08-14T22:44:49.1791620Z parm:           NvSwitchRegDwords:NvSwitch regkey (charp)
2025-08-14T22:44:49.1792206Z parm:           NvSwitchBlacklist:NvSwitchBlacklist=uuid[,uuid...] (charp)
2025-08-14T22:44:49.1792656Z parm:           NVreg_ResmanDebugLevel:int
2025-08-14T22:44:49.1792979Z parm:           NVreg_RmLogonRC:int
2025-08-14T22:44:49.1793299Z parm:           NVreg_ModifyDeviceFiles:int
2025-08-14T22:44:49.1793734Z parm:           NVreg_DeviceFileUID:int
2025-08-14T22:44:49.1794044Z parm:           NVreg_DeviceFileGID:int
2025-08-14T22:44:49.1794368Z parm:           NVreg_DeviceFileMode:int
2025-08-14T22:44:49.1794849Z parm:           NVreg_InitializeSystemMemoryAllocations:int
2025-08-14T22:44:49.1795408Z parm:           NVreg_UsePageAttributeTable:int
2025-08-14T22:44:49.1795868Z parm:           NVreg_EnablePCIeGen3:int
2025-08-14T22:44:49.1796196Z parm:           NVreg_EnableMSI:int
2025-08-14T22:44:49.1796523Z parm:           NVreg_EnableStreamMemOPs:int
2025-08-14T22:44:49.1796898Z parm:           NVreg_RestrictProfilingToAdminUsers:int
2025-08-14T22:44:49.1797325Z parm:           NVreg_PreserveVideoMemoryAllocations:int
2025-08-14T22:44:49.1797734Z parm:           NVreg_EnableS0ixPowerManagement:int
2025-08-14T22:44:49.1798210Z parm:           NVreg_S0ixPowerManagementVideoMemoryThreshold:int
2025-08-14T22:44:49.1798797Z parm:           NVreg_DynamicPowerManagement:int
2025-08-14T22:44:49.1799361Z parm:           NVreg_DynamicPowerManagementVideoMemoryThreshold:int
2025-08-14T22:44:49.1799798Z parm:           NVreg_EnableGpuFirmware:int
2025-08-14T22:44:49.1800155Z parm:           NVreg_EnableGpuFirmwareLogs:int
2025-08-14T22:44:49.1800546Z parm:           NVreg_OpenRmEnableUnsupportedGpus:int
2025-08-14T22:44:49.1800948Z parm:           NVreg_EnableUserNUMAManagement:int
2025-08-14T22:44:49.1801300Z parm:           NVreg_MemoryPoolSize:int
2025-08-14T22:44:49.1801644Z parm:           NVreg_KMallocHeapMaxSize:int
2025-08-14T22:44:49.1801997Z parm:           NVreg_VMallocHeapMaxSize:int
2025-08-14T22:44:49.1802342Z parm:           NVreg_IgnoreMMIOCheck:int
2025-08-14T22:44:49.1802666Z parm:           NVreg_NvLinkDisable:int
2025-08-14T22:44:49.1803034Z parm:           NVreg_EnablePCIERelaxedOrderingMode:int
2025-08-14T22:44:49.1803411Z parm:           NVreg_RegisterPCIDriver:int
2025-08-14T22:44:49.1803773Z parm:           NVreg_EnableResizableBar:int
2025-08-14T22:44:49.1804129Z parm:           NVreg_EnableDbgBreakpoint:int
2025-08-14T22:44:49.1804496Z parm:           NVreg_EnableNonblockingOpen:int
2025-08-14T22:44:49.1804856Z parm:           NVreg_RegistryDwords:charp
2025-08-14T22:44:49.1805220Z parm:           NVreg_RegistryDwordsPerDevice:charp
2025-08-14T22:44:49.1805572Z parm:           NVreg_RmMsg:charp
2025-08-14T22:44:49.1805878Z parm:           NVreg_GpuBlacklist:charp
2025-08-14T22:44:49.1806223Z parm:           NVreg_TemporaryFilePath:charp
2025-08-14T22:44:49.1806572Z parm:           NVreg_ExcludedGpus:charp
2025-08-14T22:44:49.1806901Z parm:           NVreg_DmaRemapPeerMmio:int
2025-08-14T22:44:49.1807256Z parm:           NVreg_RmNvlinkBandwidth:charp
2025-08-14T22:44:49.1807631Z parm:           NVreg_RmNvlinkBandwidthLinkCount:int
2025-08-14T22:44:49.1807991Z parm:           NVreg_ImexChannelCount:int
2025-08-14T22:44:49.1808329Z parm:           NVreg_CreateImexChannel0:int
2025-08-14T22:44:49.1808690Z parm:           NVreg_GrdmaPciTopoCheckOverride:int
2025-08-14T22:44:49.1809041Z parm:           rm_firmware_active:charp
2025-08-14T22:44:49.1809341Z + HAS_NVIDIA_DRIVER=0
2025-08-14T22:44:49.1809596Z ++ command -v nvidia-smi
2025-08-14T22:44:49.1809860Z + '[' -x /usr/bin/nvidia-smi ']'
2025-08-14T22:44:49.1810139Z + set +e
2025-08-14T22:44:49.1810496Z ++ nvidia-smi --query-gpu=driver_version --format=csv,noheader --id=0
2025-08-14T22:44:51.0159090Z + INSTALLED_DRIVER_VERSION=570.133.07
2025-08-14T22:44:51.0159534Z + NVIDIA_SMI_STATUS=0
2025-08-14T22:44:51.0159902Z + '[' 0 -ne 0 ']'
2025-08-14T22:44:51.0160145Z + '[' 570.133.07 '!=' 570.133.07 ']'
2025-08-14T22:44:51.0160515Z + HAS_NVIDIA_DRIVER=1
2025-08-14T22:44:51.0161069Z + echo 'NVIDIA driver (570.133.07) has already been installed. Skipping NVIDIA driver installation'
2025-08-14T22:44:51.0161562Z + set -e
2025-08-14T22:44:51.0161761Z + '[' 1 -eq 0 ']'
2025-08-14T22:44:51.0162167Z NVIDIA driver (570.133.07) has already been installed. Skipping NVIDIA driver installation
2025-08-14T22:44:51.0162648Z + post_install_nvidia_driver_common
2025-08-14T22:44:51.0164572Z + sudo modprobe nvidia
2025-08-14T22:44:51.1028442Z + echo 'After installing NVIDIA driver'
2025-08-14T22:44:51.1028916Z + lspci
2025-08-14T22:44:51.1029231Z After installing NVIDIA driver
2025-08-14T22:44:51.1151268Z 00:00.0 Host bridge: Intel Corporation 440FX - 82441FX PMC [Natoma]
2025-08-14T22:44:51.1151807Z 00:01.0 ISA bridge: Intel Corporation 82371SB PIIX3 ISA [Natoma/Triton II]
2025-08-14T22:44:51.1152379Z 00:01.3 Non-VGA unclassified device: Intel Corporation 82371AB/EB/MB PIIX4 ACPI (rev 08)
2025-08-14T22:44:51.1152916Z 00:03.0 VGA compatible controller: Amazon.com, Inc. Device 1111
2025-08-14T22:44:51.1153404Z 00:04.0 Non-Volatile memory controller: Amazon.com, Inc. NVMe EBS Controller
2025-08-14T22:44:51.1153946Z 00:05.0 Ethernet controller: Amazon.com, Inc. Elastic Network Adapter (ENA)
2025-08-14T22:44:51.1154442Z 00:1e.0 3D controller: NVIDIA Corporation GA102GL [A10G] (rev a1)
2025-08-14T22:44:51.1154930Z 00:1f.0 Non-Volatile memory controller: Amazon.com, Inc. NVMe SSD Controller
2025-08-14T22:44:51.1155357Z + lsmod
2025-08-14T22:44:51.1189953Z Module                  Size  Used by
2025-08-14T22:44:51.1190256Z nvidia_uvm           1884160  0
2025-08-14T22:44:51.1190533Z nvidia              11583488  1 nvidia_uvm
2025-08-14T22:44:51.1191002Z drm                   602112  1 nvidia
2025-08-14T22:44:51.1191655Z drm_panel_orientation_quirks    32768  1 drm
2025-08-14T22:44:51.1192272Z backlight              24576  1 drm
2025-08-14T22:44:51.1192873Z i2c_core              110592  2 nvidia,drm
2025-08-14T22:44:51.1193457Z xt_conntrack           16384  1
2025-08-14T22:44:51.1193991Z nft_chain_nat          16384  3
2025-08-14T22:44:51.1194510Z xt_MASQUERADE          20480  1
2025-08-14T22:44:51.1195115Z nf_nat                 57344  2 nft_chain_nat,xt_MASQUERADE
2025-08-14T22:44:51.1195789Z nf_conntrack_netlink    57344  0
2025-08-14T22:44:51.1196583Z nf_conntrack          184320  4 xt_conntrack,nf_nat,nf_conntrack_netlink,xt_MASQUERADE
2025-08-14T22:44:51.1197461Z nf_defrag_ipv6         24576  1 nf_conntrack
2025-08-14T22:44:51.1198099Z nf_defrag_ipv4         16384  1 nf_conntrack
2025-08-14T22:44:51.1198687Z xfrm_user              57344  1
2025-08-14T22:44:51.1199224Z xfrm_algo              16384  1 xfrm_user
2025-08-14T22:44:51.1199807Z xt_addrtype            16384  2
2025-08-14T22:44:51.1200326Z nft_compat             20480  4
2025-08-14T22:44:51.1200902Z nf_tables             311296  57 nft_compat,nft_chain_nat
2025-08-14T22:44:51.1201374Z nfnetlink              20480  4 nft_compat,nf_conntrack_netlink,nf_tables
2025-08-14T22:44:51.1201759Z br_netfilter           36864  0
2025-08-14T22:44:51.1202040Z bridge                323584  1 br_netfilter
2025-08-14T22:44:51.1202343Z stp                    16384  1 bridge
2025-08-14T22:44:51.1202638Z llc                    16384  2 bridge,stp
2025-08-14T22:44:51.1202926Z overlay               167936  0
2025-08-14T22:44:51.1203185Z tls                   139264  0
2025-08-14T22:44:51.1203444Z nls_ascii              16384  1
2025-08-14T22:44:51.1203703Z nls_cp437              20480  1
2025-08-14T22:44:51.1203962Z vfat                   24576  1
2025-08-14T22:44:51.1204226Z fat                    86016  1 vfat
2025-08-14T22:44:51.1204499Z ena                   180224  0
2025-08-14T22:44:51.1204747Z i8042                  45056  0
2025-08-14T22:44:51.1205011Z ghash_clmulni_intel    16384  0
2025-08-14T22:44:51.1205565Z serio                  28672  3 i8042
2025-08-14T22:44:51.1205841Z button                 24576  0
2025-08-14T22:44:51.1206101Z sunrpc                700416  1
2025-08-14T22:44:51.1206368Z sch_fq_codel           20480  17
2025-08-14T22:44:51.1206626Z fuse                  184320  1
2025-08-14T22:44:51.1206889Z dm_mod                188416  0
2025-08-14T22:44:51.1207146Z loop                   36864  0
2025-08-14T22:44:51.1207400Z configfs               57344  1
2025-08-14T22:44:51.1207662Z dmi_sysfs              20480  0
2025-08-14T22:44:51.1207922Z crc32_pclmul           16384  0
2025-08-14T22:44:51.1208176Z crc32c_intel           24576  0
2025-08-14T22:44:51.1208584Z efivarfs               24576  1
2025-08-14T22:44:51.1208848Z + modinfo nvidia
2025-08-14T22:44:51.1214516Z filename:       /lib/modules/6.1.141-155.222.amzn2023.x86_64/kernel/drivers/video/nvidia.ko
2025-08-14T22:44:51.1214993Z import_ns:      DMA_BUF
2025-08-14T22:44:51.1215250Z alias:          char-major-195-*
2025-08-14T22:44:51.1215532Z version:        570.133.07
2025-08-14T22:44:51.1215783Z supported:      external
2025-08-14T22:44:51.1216043Z license:        Dual MIT/GPL
2025-08-14T22:44:51.1216338Z firmware:       nvidia/570.133.07/gsp_tu10x.bin
2025-08-14T22:44:51.1216691Z firmware:       nvidia/570.133.07/gsp_ga10x.bin
2025-08-14T22:44:51.1217022Z srcversion:     49515739FD8F721A3F2F714
2025-08-14T22:44:51.1217350Z alias:          pci:v000010DEd*sv*sd*bc06sc80i00*
2025-08-14T22:44:51.1217700Z alias:          pci:v000010DEd*sv*sd*bc03sc02i00*
2025-08-14T22:44:51.1218040Z alias:          pci:v000010DEd*sv*sd*bc03sc00i00*
2025-08-14T22:44:51.1218375Z depends:        i2c-core,drm
2025-08-14T22:44:51.1218645Z retpoline:      Y
2025-08-14T22:44:51.1218864Z name:           nvidia
2025-08-14T22:44:51.1219241Z vermagic:       6.1.141-155.222.amzn2023.x86_64 SMP preempt mod_unload modversions 
2025-08-14T22:44:51.1219724Z parm:           NvSwitchRegDwords:NvSwitch regkey (charp)
2025-08-14T22:44:51.1220180Z parm:           NvSwitchBlacklist:NvSwitchBlacklist=uuid[,uuid...] (charp)
2025-08-14T22:44:51.1220602Z parm:           NVreg_ResmanDebugLevel:int
2025-08-14T22:44:51.1220928Z parm:           NVreg_RmLogonRC:int
2025-08-14T22:44:51.1221240Z parm:           NVreg_ModifyDeviceFiles:int
2025-08-14T22:44:51.1221558Z parm:           NVreg_DeviceFileUID:int
2025-08-14T22:44:51.1221870Z parm:           NVreg_DeviceFileGID:int
2025-08-14T22:44:51.1222186Z parm:           NVreg_DeviceFileMode:int
2025-08-14T22:44:51.1222554Z parm:           NVreg_InitializeSystemMemoryAllocations:int
2025-08-14T22:44:51.1222952Z parm:           NVreg_UsePageAttributeTable:int
2025-08-14T22:44:51.1223302Z parm:           NVreg_EnablePCIeGen3:int
2025-08-14T22:44:51.1223607Z parm:           NVreg_EnableMSI:int
2025-08-14T22:44:51.1224521Z parm:           NVreg_EnableStreamMemOPs:int
2025-08-14T22:44:51.1224904Z parm:           NVreg_RestrictProfilingToAdminUsers:int
2025-08-14T22:44:51.1225312Z parm:           NVreg_PreserveVideoMemoryAllocations:int
2025-08-14T22:44:51.1225824Z parm:           NVreg_EnableS0ixPowerManagement:int
2025-08-14T22:44:51.1226443Z parm:           NVreg_S0ixPowerManagementVideoMemoryThreshold:int
2025-08-14T22:44:51.1226877Z parm:           NVreg_DynamicPowerManagement:int
2025-08-14T22:44:51.1227310Z parm:           NVreg_DynamicPowerManagementVideoMemoryThreshold:int
2025-08-14T22:44:51.1227738Z parm:           NVreg_EnableGpuFirmware:int
2025-08-14T22:44:51.1228091Z parm:           NVreg_EnableGpuFirmwareLogs:int
2025-08-14T22:44:51.1228471Z parm:           NVreg_OpenRmEnableUnsupportedGpus:int
2025-08-14T22:44:51.1228858Z parm:           NVreg_EnableUserNUMAManagement:int
2025-08-14T22:44:51.1229219Z parm:           NVreg_MemoryPoolSize:int
2025-08-14T22:44:51.1229557Z parm:           NVreg_KMallocHeapMaxSize:int
2025-08-14T22:44:51.1229899Z parm:           NVreg_VMallocHeapMaxSize:int
2025-08-14T22:44:51.1230240Z parm:           NVreg_IgnoreMMIOCheck:int
2025-08-14T22:44:51.1230566Z parm:           NVreg_NvLinkDisable:int
2025-08-14T22:44:51.1231113Z parm:           NVreg_EnablePCIERelaxedOrderingMode:int
2025-08-14T22:44:51.1231517Z parm:           NVreg_RegisterPCIDriver:int
2025-08-14T22:44:51.1231861Z parm:           NVreg_EnableResizableBar:int
2025-08-14T22:44:51.1232202Z parm:           NVreg_EnableDbgBreakpoint:int
2025-08-14T22:44:51.1232556Z parm:           NVreg_EnableNonblockingOpen:int
2025-08-14T22:44:51.1232906Z parm:           NVreg_RegistryDwords:charp
2025-08-14T22:44:51.1233258Z parm:           NVreg_RegistryDwordsPerDevice:charp
2025-08-14T22:44:51.1233594Z parm:           NVreg_RmMsg:charp
2025-08-14T22:44:51.1233895Z parm:           NVreg_GpuBlacklist:charp
2025-08-14T22:44:51.1234343Z parm:           NVreg_TemporaryFilePath:charp
2025-08-14T22:44:51.1234673Z parm:           NVreg_ExcludedGpus:charp
2025-08-14T22:44:51.1235001Z parm:           NVreg_DmaRemapPeerMmio:int
2025-08-14T22:44:51.1235344Z parm:           NVreg_RmNvlinkBandwidth:charp
2025-08-14T22:44:51.1235711Z parm:           NVreg_RmNvlinkBandwidthLinkCount:int
2025-08-14T22:44:51.1236080Z parm:           NVreg_ImexChannelCount:int
2025-08-14T22:44:51.1236421Z parm:           NVreg_CreateImexChannel0:int
2025-08-14T22:44:51.1236774Z parm:           NVreg_GrdmaPciTopoCheckOverride:int
2025-08-14T22:44:51.1237123Z parm:           rm_firmware_active:charp
2025-08-14T22:44:51.1237421Z + set +e
2025-08-14T22:44:51.1237622Z + nvidia-smi
2025-08-14T22:44:52.5200535Z Thu Aug 14 22:44:52 2025       
2025-08-14T22:44:52.5200936Z +-----------------------------------------------------------------------------------------+
2025-08-14T22:44:52.5201444Z | NVIDIA-SMI 570.133.07             Driver Version: 570.133.07     CUDA Version: 12.8     |
2025-08-14T22:44:52.5201967Z |-----------------------------------------+------------------------+----------------------+
2025-08-14T22:44:52.5202464Z | GPU  Name                 Persistence-M | Bus-Id          Disp.A | Volatile Uncorr. ECC |
2025-08-14T22:44:52.5203025Z | Fan  Temp   Perf          Pwr:Usage/Cap |           Memory-Usage | GPU-Util  Compute M. |
2025-08-14T22:44:52.5203468Z |                                         |                        |               MIG M. |
2025-08-14T22:44:52.5203814Z |=========================================+========================+======================|
2025-08-14T22:44:52.5265308Z |   0  NVIDIA A10G                    Off |   00000000:00:1E.0 Off |                    0 |
2025-08-14T22:44:52.5265913Z |  0%   37C    P0             64W /  300W |       0MiB /  23028MiB |      4%      Default |
2025-08-14T22:44:52.5266313Z |                                         |                        |                  N/A |
2025-08-14T22:44:52.5266729Z +-----------------------------------------+------------------------+----------------------+
2025-08-14T22:44:52.5267142Z                                                                                          
2025-08-14T22:44:52.5267639Z +-----------------------------------------------------------------------------------------+
2025-08-14T22:44:52.5268101Z | Processes:                                                                              |
2025-08-14T22:44:52.5268563Z |  GPU   GI   CI              PID   Type   Process name                        GPU Memory |
2025-08-14T22:44:52.5268993Z |        ID   ID                                                               Usage      |
2025-08-14T22:44:52.5269364Z |=========================================================================================|
2025-08-14T22:44:52.5270136Z |  No running processes found                                                             |
2025-08-14T22:44:52.5270604Z +-----------------------------------------------------------------------------------------+
2025-08-14T22:44:52.9365340Z + nvidia-smi --query-gpu=gpu_name --format=csv,noheader --id=0
2025-08-14T22:44:54.3397981Z NVIDIA A10G
2025-08-14T22:44:54.6114574Z + NVIDIA_SMI_STATUS=0
2025-08-14T22:44:54.6114872Z + '[' 0 -eq 0 ']'
2025-08-14T22:44:54.6115127Z + echo 'INFO: Ignoring allowed status 0'
2025-08-14T22:44:54.6115425Z + set -e
2025-08-14T22:44:54.6115963Z INFO: Ignoring allowed status 0
2025-08-14T22:44:54.6123573Z == Installing nvidia container toolkit for amzn2023 ==
2025-08-14T22:44:54.6127909Z + sudo yum install -y yum-utils
2025-08-14T22:44:55.1706222Z Last metadata expiration check: 0:15:55 ago on Thu Aug 14 22:29:00 2025.
2025-08-14T22:44:55.1949763Z Package dnf-utils-4.3.0-13.amzn2023.0.5.noarch is already installed.
2025-08-14T22:44:55.2422087Z Dependencies resolved.
2025-08-14T22:44:55.2648667Z Nothing to do.
2025-08-14T22:44:55.2648932Z Complete!
2025-08-14T22:44:55.3479995Z + [[ amzn2023 == \a\m\z\n\2\0\2\3 ]]
2025-08-14T22:44:55.3480901Z + YUM_REPO_URL=https://nvidia.github.io/libnvidia-container/stable/rpm/nvidia-container-toolkit.repo
2025-08-14T22:44:55.3481775Z + sudo yum-config-manager --add-repo https://nvidia.github.io/libnvidia-container/stable/rpm/nvidia-container-toolkit.repo
2025-08-14T22:44:55.6836764Z Adding repo from: https://nvidia.github.io/libnvidia-container/stable/rpm/nvidia-container-toolkit.repo
2025-08-14T22:44:55.7369035Z + sudo yum install -y nvidia-container-toolkit-1.17.8 libnvidia-container-tools-1.17.8 libnvidia-container1-1.17.8 nvidia-container-toolkit-base-1.17.8
2025-08-14T22:44:56.3216928Z nvidia-container-toolkit                         18 kB/s | 833  B     00:00    
2025-08-14T22:44:56.3459046Z Package nvidia-container-toolkit-1.17.8-1.x86_64 is already installed.
2025-08-14T22:44:56.3464095Z Package libnvidia-container-tools-1.17.8-1.x86_64 is already installed.
2025-08-14T22:44:56.3468124Z Package libnvidia-container1-1.17.8-1.x86_64 is already installed.
2025-08-14T22:44:56.3474649Z Package nvidia-container-toolkit-base-1.17.8-1.x86_64 is already installed.
2025-08-14T22:44:56.3953870Z Dependencies resolved.
2025-08-14T22:44:56.4177958Z Nothing to do.
2025-08-14T22:44:56.4178360Z Complete!
2025-08-14T22:44:56.4992642Z + sudo systemctl restart docker
2025-08-14T22:45:35.7913194Z Thu Aug 14 22:45:35 2025       
2025-08-14T22:45:35.7915870Z +-----------------------------------------------------------------------------------------+
2025-08-14T22:45:35.7916631Z | NVIDIA-SMI 570.133.07             Driver Version: 570.133.07     CUDA Version: 12.8     |
2025-08-14T22:45:35.7917328Z |-----------------------------------------+------------------------+----------------------+
2025-08-14T22:45:35.7918046Z | GPU  Name                 Persistence-M | Bus-Id          Disp.A | Volatile Uncorr. ECC |
2025-08-14T22:45:35.7918822Z | Fan  Temp   Perf          Pwr:Usage/Cap |           Memory-Usage | GPU-Util  Compute M. |
2025-08-14T22:45:35.7919451Z |                                         |                        |               MIG M. |
2025-08-14T22:45:35.7919943Z |=========================================+========================+======================|
2025-08-14T22:45:35.7997891Z |   0  NVIDIA A10G                    On  |   00000000:00:1E.0 Off |                    0 |
2025-08-14T22:45:35.7998525Z |  0%   37C    P0             64W /  300W |       0MiB /  23028MiB |      4%      Default |
2025-08-14T22:45:35.7999099Z |                                         |                        |                  N/A |
2025-08-14T22:45:35.7999652Z +-----------------------------------------+------------------------+----------------------+
2025-08-14T22:45:35.8000219Z                                                                                          
2025-08-14T22:45:35.8000779Z +-----------------------------------------------------------------------------------------+
2025-08-14T22:45:35.8001411Z | Processes:                                                                              |
2025-08-14T22:45:35.8002041Z |  GPU   GI   CI              PID   Type   Process name                        GPU Memory |
2025-08-14T22:45:35.8002672Z |        ID   ID                                                               Usage      |
2025-08-14T22:45:35.8003164Z |=========================================================================================|
2025-08-14T22:45:35.8004166Z |  No running processes found                                                             |
2025-08-14T22:45:35.8004932Z +-----------------------------------------------------------------------------------------+
2025-08-14T22:45:35.9613534Z Unable to find image 'public.ecr.aws/docker/library/python:3.13' locally
2025-08-14T22:45:36.5408654Z 3.13: Pulling from docker/library/python
2025-08-14T22:45:36.6303800Z 80b7316254b3: Pulling fs layer
2025-08-14T22:45:36.6315859Z 36e4db86de6e: Pulling fs layer
2025-08-14T22:45:36.6316192Z 8ea45766c644: Pulling fs layer
2025-08-14T22:45:36.6316482Z 3cb1455cf185: Pulling fs layer
2025-08-14T22:45:36.6316765Z 775c3c87ce6e: Pulling fs layer
2025-08-14T22:45:36.6317458Z 363804934c90: Pulling fs layer
2025-08-14T22:45:36.6317747Z f597144abcb3: Pulling fs layer
2025-08-14T22:45:36.6318010Z 363804934c90: Waiting
2025-08-14T22:45:36.6318238Z 775c3c87ce6e: Waiting
2025-08-14T22:45:36.6318483Z 3cb1455cf185: Waiting
2025-08-14T22:45:36.6318718Z f597144abcb3: Waiting
2025-08-14T22:45:36.7414783Z 36e4db86de6e: Verifying Checksum
2025-08-14T22:45:36.7415177Z 36e4db86de6e: Download complete
2025-08-14T22:45:36.8209539Z 80b7316254b3: Verifying Checksum
2025-08-14T22:45:36.8209884Z 80b7316254b3: Download complete
2025-08-14T22:45:36.8624224Z 8ea45766c644: Verifying Checksum
2025-08-14T22:45:36.8624652Z 8ea45766c644: Download complete
2025-08-14T22:45:36.9038511Z 775c3c87ce6e: Verifying Checksum
2025-08-14T22:45:36.9038978Z 775c3c87ce6e: Download complete
2025-08-14T22:45:36.9665095Z f597144abcb3: Verifying Checksum
2025-08-14T22:45:36.9665576Z f597144abcb3: Download complete
2025-08-14T22:45:36.9929036Z 363804934c90: Verifying Checksum
2025-08-14T22:45:36.9930207Z 363804934c90: Download complete
2025-08-14T22:45:37.3905442Z 3cb1455cf185: Verifying Checksum
2025-08-14T22:45:37.3905792Z 3cb1455cf185: Download complete
2025-08-14T22:45:38.5221314Z 80b7316254b3: Pull complete
2025-08-14T22:45:39.2229803Z 36e4db86de6e: Pull complete
2025-08-14T22:45:41.6026935Z 8ea45766c644: Pull complete
2025-08-14T22:45:48.1775037Z 3cb1455cf185: Pull complete
2025-08-14T22:45:48.4527455Z 775c3c87ce6e: Pull complete
2025-08-14T22:45:49.2032723Z 363804934c90: Pull complete
2025-08-14T22:45:49.2259538Z f597144abcb3: Pull complete
2025-08-14T22:45:49.2398036Z Digest: sha256:50cbf8e58ca53a806b99250b1ba2d16c19433e8c42e7eb4ac4ea924b095e280b
2025-08-14T22:45:49.2442432Z Status: Downloaded newer image for public.ecr.aws/docker/library/python:3.13
2025-08-14T22:45:56.7988897Z Thu Aug 14 22:45:56 2025       
2025-08-14T22:45:56.7989318Z +-----------------------------------------------------------------------------------------+
2025-08-14T22:45:56.7989839Z | NVIDIA-SMI 570.133.07             Driver Version: 570.133.07     CUDA Version: 12.8     |
2025-08-14T22:45:56.7990367Z |-----------------------------------------+------------------------+----------------------+
2025-08-14T22:45:56.7990876Z | GPU  Name                 Persistence-M | Bus-Id          Disp.A | Volatile Uncorr. ECC |
2025-08-14T22:45:56.7991444Z | Fan  Temp   Perf          Pwr:Usage/Cap |           Memory-Usage | GPU-Util  Compute M. |
2025-08-14T22:45:56.7991898Z |                                         |                        |               MIG M. |
2025-08-14T22:45:56.7992305Z |=========================================+========================+======================|
2025-08-14T22:45:56.8126318Z |   0  NVIDIA A10G                    On  |   00000000:00:1E.0 Off |                    0 |
2025-08-14T22:45:56.8126772Z |  0%   35C    P8              9W /  300W |       0MiB /  23028MiB |      0%      Default |
2025-08-14T22:45:56.8127155Z |                                         |                        |                  N/A |
2025-08-14T22:45:56.8127571Z +-----------------------------------------+------------------------+----------------------+
2025-08-14T22:45:56.8130650Z                                                                                          
2025-08-14T22:45:56.8131077Z +-----------------------------------------------------------------------------------------+
2025-08-14T22:45:56.8131976Z | Processes:                                                                              |
2025-08-14T22:45:56.8132489Z |  GPU   GI   CI              PID   Type   Process name                        GPU Memory |
2025-08-14T22:45:56.8132923Z |        ID   ID                                                               Usage      |
2025-08-14T22:45:56.8133284Z |=========================================================================================|
2025-08-14T22:45:56.8137411Z |  No running processes found                                                             |
2025-08-14T22:45:56.8137938Z +-----------------------------------------------------------------------------------------+
2025-08-14T22:45:58.5970733Z Command completed after 1 attempt(s).
2025-08-14T22:45:58.6071476Z Prepare all required actions
2025-08-14T22:45:58.6100230Z ##[group]Run ./.github/actions/get-workflow-job-id
2025-08-14T22:45:58.6100560Z with:
2025-08-14T22:45:58.6101140Z   github-token: ***
2025-08-14T22:45:58.6101360Z env:
2025-08-14T22:45:58.6101574Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:45:58.6101901Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-14T22:45:58.6102249Z ##[endgroup]
2025-08-14T22:45:58.6127142Z ##[group]Run set -eux
2025-08-14T22:45:58.6127391Z set -eux
2025-08-14T22:45:58.6127808Z python3 .github/scripts/get_workflow_job_id.py "${GITHUB_RUN_ID}" "${RUNNER_NAME}"
2025-08-14T22:45:58.6143422Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T22:45:58.6143787Z env:
2025-08-14T22:45:58.6144010Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:45:58.6144331Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-14T22:45:58.6144832Z   GITHUB_TOKEN: ***
2025-08-14T22:45:58.6145069Z ##[endgroup]
2025-08-14T22:45:58.6188364Z + python3 .github/scripts/get_workflow_job_id.py 16976255153 i-02cf658f0b64e8296
2025-08-14T22:45:59.8483136Z Setting output job-id=48131873416
2025-08-14T22:45:59.8483967Z Setting output job-name=cuda12.8-py3.10-gcc9-sm86 / test (inductor_torchbench, 2, 2, linux.g5.4xlarge.nvidia.gpu)
2025-08-14T22:45:59.8609077Z ##[group]Run python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84
2025-08-14T22:45:59.8609776Z python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84
2025-08-14T22:45:59.8610663Z python3 -m tools.stats.monitor --log-interval "$MONITOR_LOG_INTERVAL" --data-collect-interval "$MONITOR_DATA_COLLECT_INTERVAL" > usage_log.txt 2>&1 &
2025-08-14T22:45:59.8611573Z echo "monitor-script-pid=${!}" >> "${GITHUB_OUTPUT}"
2025-08-14T22:45:59.8621186Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T22:45:59.8621562Z env:
2025-08-14T22:45:59.8621774Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:45:59.8622095Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-14T22:45:59.8622440Z   JOB_ID: 48131873416
2025-08-14T22:45:59.8622898Z   JOB_NAME: cuda12.8-py3.10-gcc9-sm86 / test (inductor_torchbench, 2, 2, linux.g5.4xlarge.nvidia.gpu)
2025-08-14T22:45:59.8623429Z   WORKFLOW_NAME: inductor
2025-08-14T22:45:59.8624000Z   WORKFLOW_RUN_ID: 16976255153
2025-08-14T22:45:59.8624273Z   MONITOR_LOG_INTERVAL: 5
2025-08-14T22:45:59.8624544Z   MONITOR_DATA_COLLECT_INTERVAL: 1
2025-08-14T22:45:59.8624829Z ##[endgroup]
2025-08-14T22:46:00.2627586Z Defaulting to user installation because normal site-packages is not writeable
2025-08-14T22:46:00.6534917Z Collecting psutil==5.9.8
2025-08-14T22:46:00.6688563Z   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)
2025-08-14T22:46:00.7582801Z Collecting dataclasses_json==0.6.7
2025-08-14T22:46:00.7614164Z   Downloading dataclasses_json-0.6.7-py3-none-any.whl (28 kB)
2025-08-14T22:46:00.7902785Z Collecting nvidia-ml-py==11.525.84
2025-08-14T22:46:00.7935205Z   Downloading nvidia_ml_py-11.525.84-py3-none-any.whl (34 kB)
2025-08-14T22:46:00.8274911Z Collecting typing-inspect<1,>=0.4.0
2025-08-14T22:46:00.8320304Z   Downloading typing_inspect-0.9.0-py3-none-any.whl (8.8 kB)
2025-08-14T22:46:00.9505856Z Collecting marshmallow<4.0.0,>=3.18.0
2025-08-14T22:46:00.9537339Z   Downloading marshmallow-3.26.1-py3-none-any.whl (50 kB)
2025-08-14T22:46:01.0126011Z Collecting packaging>=17.0
2025-08-14T22:46:01.0163220Z   Downloading packaging-25.0-py3-none-any.whl (66 kB)
2025-08-14T22:46:01.0696238Z Collecting typing-extensions>=3.7.4
2025-08-14T22:46:01.0726363Z   Downloading typing_extensions-4.14.1-py3-none-any.whl (43 kB)
2025-08-14T22:46:01.0931828Z Collecting mypy-extensions>=0.3.0
2025-08-14T22:46:01.0961578Z   Downloading mypy_extensions-1.1.0-py3-none-any.whl (5.0 kB)
2025-08-14T22:46:01.1861917Z Installing collected packages: typing-extensions, packaging, mypy-extensions, typing-inspect, marshmallow, psutil, nvidia-ml-py, dataclasses-json
2025-08-14T22:46:01.4615118Z Successfully installed dataclasses-json-0.6.7 marshmallow-3.26.1 mypy-extensions-1.1.0 nvidia-ml-py-11.525.84 packaging-25.0 psutil-5.9.8 typing-extensions-4.14.1 typing-inspect-0.9.0
2025-08-14T22:46:01.6608059Z Prepare all required actions
2025-08-14T22:46:01.6608407Z Getting action download info
2025-08-14T22:46:01.7842402Z Download action repository 'seemethere/download-artifact-s3@v4' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6)
2025-08-14T22:46:02.0518536Z Download action repository 'actions/download-artifact@v4' (SHA:d3f86a106a0bac45b974a628896c90dbdf5c8093)
2025-08-14T22:46:02.4033557Z ##[group]Run ./.github/actions/download-build-artifacts
2025-08-14T22:46:02.4033912Z with:
2025-08-14T22:46:02.4034164Z   name: linux-jammy-cuda12.8-py3.10-gcc9-sm86
2025-08-14T22:46:02.4034543Z   s3-bucket: gha-artifacts
2025-08-14T22:46:02.4034794Z env:
2025-08-14T22:46:02.4034997Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:46:02.4035318Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-14T22:46:02.4035651Z ##[endgroup]
2025-08-14T22:46:02.4068717Z ##[group]Run seemethere/download-artifact-s3@v4
2025-08-14T22:46:02.4069037Z with:
2025-08-14T22:46:02.4069312Z   name: linux-jammy-cuda12.8-py3.10-gcc9-sm86
2025-08-14T22:46:02.4069632Z   s3-bucket: gha-artifacts
2025-08-14T22:46:02.4069892Z   region: us-east-1
2025-08-14T22:46:02.4070110Z env:
2025-08-14T22:46:02.4070305Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:46:02.4070625Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-14T22:46:02.4070963Z ##[endgroup]
2025-08-14T22:46:02.8741762Z (node:62846) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023.
2025-08-14T22:46:02.8742308Z 
2025-08-14T22:46:02.8742507Z Please migrate your code to use AWS SDK for JavaScript (v3).
2025-08-14T22:46:02.8743057Z For more information, check the migration guide at https://a.co/7PzMCcy
2025-08-14T22:46:02.8743601Z (Use `node --trace-warnings ...` to show where the warning was created)
2025-08-14T22:46:03.1083486Z Found 1 objects with prefix pytorch/pytorch/16976255153/linux-jammy-cuda12.8-py3.10-gcc9-sm86/
2025-08-14T22:46:03.1084571Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip
2025-08-14T22:46:11.5513972Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip
2025-08-14T22:46:11.5519319Z Artifact download has finished successfully
2025-08-14T22:46:11.5880872Z ##[group]Run unzip -o artifacts.zip
2025-08-14T22:46:11.5881210Z unzip -o artifacts.zip
2025-08-14T22:46:11.5890497Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T22:46:11.5890854Z env:
2025-08-14T22:46:11.5891066Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:46:11.5891500Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-14T22:46:11.5891860Z ##[endgroup]
2025-08-14T22:46:11.5963590Z Archive:  artifacts.zip
2025-08-14T22:46:11.5965396Z    creating: dist/
2025-08-14T22:46:13.6141093Z   inflating: dist/torch-2.9.0a0+git1fc683c-cp310-cp310-linux_x86_64.whl  
2025-08-14T22:46:13.6141565Z    creating: dist/vision/
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2025-08-14T22:46:22.1425020Z   inflating: build/bin/c10_generic_math_test  
2025-08-14T22:46:22.1479997Z   inflating: build/bin/c10_irange_test  
2025-08-14T22:46:22.1651757Z   inflating: build/bin/c10_intrusive_ptr_test  
2025-08-14T22:46:22.1708983Z   inflating: build/bin/c10_lazy_test  
2025-08-14T22:46:22.1770736Z   inflating: build/bin/c10_logging_test  
2025-08-14T22:46:22.1851045Z   inflating: build/bin/c10_optional_test  
2025-08-14T22:46:22.1917634Z   inflating: build/bin/c10_ordered_preserving_dict_test  
2025-08-14T22:46:22.1975285Z   inflating: build/bin/c10_registry_test  
2025-08-14T22:46:22.2135687Z   inflating: build/bin/c10_small_vector_test  
2025-08-14T22:46:22.2196017Z   inflating: build/bin/c10_string_util_test  
2025-08-14T22:46:22.2252192Z   inflating: build/bin/c10_ssize_test  
2025-08-14T22:46:22.2304459Z   inflating: build/bin/c10_string_view_test  
2025-08-14T22:46:22.2359258Z   inflating: build/bin/c10_tempfile_test  
2025-08-14T22:46:22.2419003Z   inflating: build/bin/c10_typeid_test  
2025-08-14T22:46:22.2468162Z   inflating: build/bin/c10_intrusive_ptr_benchmark  
2025-08-14T22:46:22.2525105Z   inflating: build/bin/c10_cuda_CUDAAssertionsTest_catches_stream  
2025-08-14T22:46:22.2581531Z   inflating: build/bin/c10_cuda_CUDAAssertionsTest_multiple_writes_from_blocks_and_threads  
2025-08-14T22:46:22.2637915Z   inflating: build/bin/c10_cuda_CUDAAssertionsTest_1_var_test  
2025-08-14T22:46:22.2694626Z   inflating: build/bin/c10_cuda_CUDAAssertionsTest_catches_thread_and_block_and_device  
2025-08-14T22:46:22.2751441Z   inflating: build/bin/c10_cuda_CUDAAssertionsTest_multiple_writes_from_multiple_blocks  
2025-08-14T22:46:22.2807642Z   inflating: build/bin/c10_cuda_CUDAAssertionsTest_from_2_processes  
2025-08-14T22:46:22.2860773Z   inflating: build/bin/c10_cuda_CUDATest  
2025-08-14T22:46:22.2917714Z   inflating: build/bin/c10_cuda_CUDAAssertionsTest_multiple_writes_from_same_block  
2025-08-14T22:46:22.3520994Z   inflating: build/bin/vec_test_all_types_DEFAULT  
2025-08-14T22:46:22.4137079Z   inflating: build/bin/vec_test_all_types_AVX512  
2025-08-14T22:46:22.4764635Z   inflating: build/bin/vec_test_all_types_AVX2  
2025-08-14T22:46:22.4843527Z   inflating: build/bin/Dict_test     
2025-08-14T22:46:22.4899701Z   inflating: build/bin/Dimname_test  
2025-08-14T22:46:22.4968867Z   inflating: build/bin/MaybeOwned_test  
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2025-08-14T22:46:22.5094505Z   inflating: build/bin/apply_utils_test  
2025-08-14T22:46:22.5157475Z   inflating: build/bin/atest         
2025-08-14T22:46:22.5225520Z   inflating: build/bin/basic         
2025-08-14T22:46:22.5284622Z   inflating: build/bin/broadcast_test  
2025-08-14T22:46:22.5340094Z   inflating: build/bin/cpu_allocator_test  
2025-08-14T22:46:22.5402935Z   inflating: build/bin/cpu_generator_test  
2025-08-14T22:46:22.5460231Z   inflating: build/bin/cpu_profiling_allocator_test  
2025-08-14T22:46:22.5558037Z   inflating: build/bin/cpu_rng_test  
2025-08-14T22:46:22.5613551Z   inflating: build/bin/dlconvertor_test  
2025-08-14T22:46:22.5675480Z   inflating: build/bin/extension_backend_test  
2025-08-14T22:46:22.5735216Z   inflating: build/bin/half_test     
2025-08-14T22:46:22.5837218Z   inflating: build/bin/ivalue_test   
2025-08-14T22:46:22.5891297Z   inflating: build/bin/lazy_tensor_test  
2025-08-14T22:46:22.5949679Z   inflating: build/bin/math_kernel_test  
2025-08-14T22:46:22.6007619Z   inflating: build/bin/memory_format_test  
2025-08-14T22:46:22.6065524Z   inflating: build/bin/memory_overlapping_test  
2025-08-14T22:46:22.6122449Z   inflating: build/bin/mobile_memory_cleanup  
2025-08-14T22:46:22.6182824Z   inflating: build/bin/native_test   
2025-08-14T22:46:22.6237989Z   inflating: build/bin/operator_name_test  
2025-08-14T22:46:22.6293181Z   inflating: build/bin/operators_test  
2025-08-14T22:46:22.6349225Z   inflating: build/bin/packedtensoraccessor_test  
2025-08-14T22:46:22.6420817Z   inflating: build/bin/pow_test      
2025-08-14T22:46:22.6482252Z   inflating: build/bin/quantized_test  
2025-08-14T22:46:22.6536654Z   inflating: build/bin/reduce_ops_test  
2025-08-14T22:46:22.6591752Z   inflating: build/bin/reportMemoryUsage_test  
2025-08-14T22:46:22.6653121Z   inflating: build/bin/scalar_tensor_test  
2025-08-14T22:46:22.6716065Z   inflating: build/bin/scalar_test   
2025-08-14T22:46:22.6771931Z   inflating: build/bin/StorageUtils_test  
2025-08-14T22:46:22.6828199Z   inflating: build/bin/stride_properties_test  
2025-08-14T22:46:22.6911960Z   inflating: build/bin/tensor_iterator_test  
2025-08-14T22:46:22.6970856Z   inflating: build/bin/test_parallel  
2025-08-14T22:46:22.7025530Z   inflating: build/bin/thread_init_test  
2025-08-14T22:46:22.7085504Z   inflating: build/bin/type_ptr_test  
2025-08-14T22:46:22.7148885Z   inflating: build/bin/type_test     
2025-08-14T22:46:22.7205499Z   inflating: build/bin/undefined_tensor_test  
2025-08-14T22:46:22.7258817Z   inflating: build/bin/verify_api_visibility  
2025-08-14T22:46:22.7333211Z   inflating: build/bin/legacy_vmap_test  
2025-08-14T22:46:22.7388976Z   inflating: build/bin/weakref_test  
2025-08-14T22:46:22.7444345Z   inflating: build/bin/wrapdim_test  
2025-08-14T22:46:22.7499883Z   inflating: build/bin/xla_tensor_test  
2025-08-14T22:46:22.7563648Z   inflating: build/bin/IListRef_test  
2025-08-14T22:46:22.7675613Z   inflating: build/bin/List_test     
2025-08-14T22:46:22.7746366Z   inflating: build/bin/KernelFunction_test  
2025-08-14T22:46:22.7873513Z   inflating: build/bin/kernel_function_legacy_test  
2025-08-14T22:46:22.7974823Z   inflating: build/bin/kernel_function_test  
2025-08-14T22:46:22.8108421Z   inflating: build/bin/kernel_lambda_legacy_test  
2025-08-14T22:46:22.8216709Z   inflating: build/bin/kernel_lambda_test  
2025-08-14T22:46:22.8282440Z   inflating: build/bin/kernel_stackbased_test  
2025-08-14T22:46:22.8383870Z   inflating: build/bin/make_boxed_from_unboxed_functor_test  
2025-08-14T22:46:22.8439244Z   inflating: build/bin/CppSignature_test  
2025-08-14T22:46:22.8498560Z   inflating: build/bin/backend_fallback_test  
2025-08-14T22:46:22.8551526Z   inflating: build/bin/op_allowlist_test  
2025-08-14T22:46:22.8860650Z   inflating: build/bin/op_registration_test  
2025-08-14T22:46:22.8930298Z   inflating: build/bin/inline_container_test  
2025-08-14T22:46:22.8986447Z   inflating: build/bin/cuda_allocator_test  
2025-08-14T22:46:22.9043735Z   inflating: build/bin/cuda_apply_test  
2025-08-14T22:46:22.9107065Z   inflating: build/bin/cuda_atomic_ops_test  
2025-08-14T22:46:22.9168071Z   inflating: build/bin/cuda_caching_host_allocator_test  
2025-08-14T22:46:22.9243061Z   inflating: build/bin/cuda_complex_math_test  
2025-08-14T22:46:22.9306151Z   inflating: build/bin/cuda_complex_test  
2025-08-14T22:46:22.9372637Z   inflating: build/bin/cuda_cub_test  
2025-08-14T22:46:22.9426505Z   inflating: build/bin/cuda_device_test  
2025-08-14T22:46:22.9495534Z   inflating: build/bin/cuda_distributions_test  
2025-08-14T22:46:22.9549042Z   inflating: build/bin/cuda_exchange_device_test  
2025-08-14T22:46:22.9605161Z   inflating: build/bin/cuda_dlconvertor_test  
2025-08-14T22:46:22.9662022Z   inflating: build/bin/cuda_reportMemoryUsage_test  
2025-08-14T22:46:22.9717169Z   inflating: build/bin/cuda_integer_divider_test  
2025-08-14T22:46:22.9771417Z   inflating: build/bin/cuda_allocatorTraceTracker_test  
2025-08-14T22:46:22.9836662Z   inflating: build/bin/cuda_stream_test  
2025-08-14T22:46:22.9897946Z   inflating: build/bin/cuda_generator_test  
2025-08-14T22:46:22.9952325Z   inflating: build/bin/cuda_half_test  
2025-08-14T22:46:23.0005692Z   inflating: build/bin/cuda_cudnn_test  
2025-08-14T22:46:23.0059450Z   inflating: build/bin/cuda_optional_test  
2025-08-14T22:46:23.0115423Z   inflating: build/bin/cuda_packedtensoraccessor_test  
2025-08-14T22:46:23.0171623Z   inflating: build/bin/cuda_vectorized_test  
2025-08-14T22:46:23.1296500Z   inflating: build/bin/test_jit      
2025-08-14T22:46:23.1626616Z   inflating: build/bin/test_nativert  
2025-08-14T22:46:23.1682946Z   inflating: build/bin/BackoffTest   
2025-08-14T22:46:23.1740237Z   inflating: build/bin/FileStoreTest  
2025-08-14T22:46:23.1800774Z   inflating: build/bin/TCPStoreTest  
2025-08-14T22:46:23.1858439Z   inflating: build/bin/HashStoreTest  
2025-08-14T22:46:23.1873019Z   inflating: build/bin/ProcessGroupMPITest  
2025-08-14T22:46:23.1876453Z   inflating: build/bin/example_allreduce  
2025-08-14T22:46:23.1947091Z   inflating: build/bin/ProcessGroupGlooTest  
2025-08-14T22:46:23.2009309Z   inflating: build/bin/ProcessGroupGlooAsyncTest  
2025-08-14T22:46:23.2076857Z   inflating: build/bin/ProcessGroupNCCLTest  
2025-08-14T22:46:23.2143497Z   inflating: build/bin/ProcessGroupNCCLErrorsTest  
2025-08-14T22:46:23.2202135Z   inflating: build/bin/test_dist_autograd  
2025-08-14T22:46:23.2275476Z   inflating: build/bin/test_cpp_rpc  
2025-08-14T22:46:23.3479925Z   inflating: build/bin/test_api      
2025-08-14T22:46:23.3483371Z   inflating: build/bin/parallel_benchmark  
2025-08-14T22:46:23.3840438Z   inflating: build/bin/test_lazy     
2025-08-14T22:46:23.3845055Z   inflating: build/bin/torch_shm_manager  
2025-08-14T22:46:23.3845755Z    creating: .additional_ci_files/
2025-08-14T22:46:23.3926345Z   inflating: .additional_ci_files/test-times.json  
2025-08-14T22:46:23.4232434Z   inflating: .additional_ci_files/test-class-times.json  
2025-08-14T22:46:23.4379899Z ##[group]Run rm artifacts.zip
2025-08-14T22:46:23.4380430Z rm artifacts.zip
2025-08-14T22:46:23.4392489Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T22:46:23.4393018Z env:
2025-08-14T22:46:23.4393367Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:46:23.4393854Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-14T22:46:23.4394379Z ##[endgroup]
2025-08-14T22:46:23.8229770Z ##[group]Run df -H
2025-08-14T22:46:23.8230010Z df -H
2025-08-14T22:46:23.8238735Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T22:46:23.8239096Z env:
2025-08-14T22:46:23.8239333Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:46:23.8239658Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-14T22:46:23.8240002Z ##[endgroup]
2025-08-14T22:46:23.8308174Z Filesystem        Size  Used Avail Use% Mounted on
2025-08-14T22:46:23.8308651Z devtmpfs          4.2M     0  4.2M   0% /dev
2025-08-14T22:46:23.8309077Z tmpfs              34G     0   34G   0% /dev/shm
2025-08-14T22:46:23.8309434Z tmpfs              14G  553k   14G   1% /run
2025-08-14T22:46:23.8309744Z /dev/nvme0n1p1    161G   86G   76G  53% /
2025-08-14T22:46:23.8310058Z tmpfs              34G   13k   34G   1% /tmp
2025-08-14T22:46:23.8310467Z /dev/nvme0n1p128   11M  1.4M  9.2M  13% /boot/efi
2025-08-14T22:46:23.8310937Z tmpfs             6.7G     0  6.7G   0% /run/user/0
2025-08-14T22:46:23.8348319Z Prepare all required actions
2025-08-14T22:46:23.8348849Z Getting action download info
2025-08-14T22:46:23.9457686Z ##[group]Run ./.github/actions/download-td-artifacts
2025-08-14T22:46:23.9458018Z with:
2025-08-14T22:46:23.9458207Z env:
2025-08-14T22:46:23.9458409Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:46:23.9458725Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-14T22:46:23.9459063Z ##[endgroup]
2025-08-14T22:46:23.9496436Z ##[group]Run seemethere/download-artifact-s3@v4
2025-08-14T22:46:23.9496749Z with:
2025-08-14T22:46:23.9496947Z   name: td_results
2025-08-14T22:46:23.9497180Z   s3-bucket: gha-artifacts
2025-08-14T22:46:23.9497430Z   region: us-east-1
2025-08-14T22:46:23.9497650Z env:
2025-08-14T22:46:23.9497854Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:46:23.9498182Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-14T22:46:23.9498527Z ##[endgroup]
2025-08-14T22:46:24.3986954Z (node:62873) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023.
2025-08-14T22:46:24.3987430Z 
2025-08-14T22:46:24.3987626Z Please migrate your code to use AWS SDK for JavaScript (v3).
2025-08-14T22:46:24.3988138Z For more information, check the migration guide at https://a.co/7PzMCcy
2025-08-14T22:46:24.3988670Z (Use `node --trace-warnings ...` to show where the warning was created)
2025-08-14T22:46:24.4965727Z Found 0 objects with prefix pytorch/pytorch/16976255153/td_results/
2025-08-14T22:46:24.4972716Z Artifact download has finished successfully
2025-08-14T22:46:24.5324739Z ##[group]Run mkdir -p .additional_ci_files
2025-08-14T22:46:24.5325109Z mkdir -p .additional_ci_files
2025-08-14T22:46:24.5325531Z mv td_results.json .additional_ci_files/td_results.json || true
2025-08-14T22:46:24.5334809Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T22:46:24.5335353Z env:
2025-08-14T22:46:24.5335569Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:46:24.5335904Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-14T22:46:24.5336252Z ##[endgroup]
2025-08-14T22:46:24.5404971Z mv: cannot stat 'td_results.json': No such file or directory
2025-08-14T22:46:24.5494108Z ##[group]Run .github/scripts/parse_ref.py
2025-08-14T22:46:24.5494479Z .github/scripts/parse_ref.py
2025-08-14T22:46:24.5503516Z shell: /usr/bin/bash -e {0}
2025-08-14T22:46:24.5503772Z env:
2025-08-14T22:46:24.5503983Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:46:24.5504309Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-14T22:46:24.5504653Z ##[endgroup]
2025-08-14T22:46:24.5739530Z Setting output branch=main
2025-08-14T22:46:24.5864342Z Prepare all required actions
2025-08-14T22:46:24.5874801Z Getting action download info
2025-08-14T22:46:24.7135489Z ##[group]Run ./.github/actions/filter-test-configs
2025-08-14T22:46:24.7135821Z with:
2025-08-14T22:46:24.7136287Z   github-token: ***
2025-08-14T22:46:24.7137975Z   test-matrix: {"include": [{"config": "inductor_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "inductor_timm", "shard": 1, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "inductor_timm", "shard": 2, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}]}
2025-08-14T22:46:24.7139932Z   job-name: cuda12.8-py3.10-gcc9-sm86 / test (inductor_torchbench, 2, 2, linux.g5.4xlarge.nvidia.gpu)
2025-08-14T22:46:24.7140439Z env:
2025-08-14T22:46:24.7140674Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:46:24.7141030Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-14T22:46:24.7141403Z ##[endgroup]
2025-08-14T22:46:24.7184416Z ##[group]Run nick-fields/retry@v3.0.0
2025-08-14T22:46:24.7184714Z with:
2025-08-14T22:46:24.7184915Z   shell: bash
2025-08-14T22:46:24.7185139Z   timeout_minutes: 10
2025-08-14T22:46:24.7185374Z   max_attempts: 5
2025-08-14T22:46:24.7185611Z   retry_wait_seconds: 30
2025-08-14T22:46:24.7186368Z   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

2025-08-14T22:46:24.7187169Z   polling_interval_seconds: 1
2025-08-14T22:46:24.7187443Z   warning_on_retry: true
2025-08-14T22:46:24.7187700Z   continue_on_error: false
2025-08-14T22:46:24.7187947Z env:
2025-08-14T22:46:24.7188150Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:46:24.7188477Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-14T22:46:24.7188964Z   GITHUB_TOKEN: ***
2025-08-14T22:46:24.7189193Z ##[endgroup]
2025-08-14T22:46:24.8222644Z + python3 -m pip install requests==2.27.1 pyyaml==6.0.2
2025-08-14T22:46:25.0578335Z Defaulting to user installation because normal site-packages is not writeable
2025-08-14T22:46:25.1764607Z Collecting requests==2.27.1
2025-08-14T22:46:25.1917086Z   Downloading requests-2.27.1-py2.py3-none-any.whl (63 kB)
2025-08-14T22:46:25.3618023Z Collecting pyyaml==6.0.2
2025-08-14T22:46:25.3650064Z   Downloading PyYAML-6.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (737 kB)
2025-08-14T22:46:25.7801676Z Collecting charset-normalizer~=2.0.0
2025-08-14T22:46:25.7840198Z   Downloading charset_normalizer-2.0.12-py3-none-any.whl (39 kB)
2025-08-14T22:46:25.7888230Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (1.25.10)
2025-08-14T22:46:25.7898264Z Requirement already satisfied: idna<4,>=2.5 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (2.10)
2025-08-14T22:46:25.8388719Z Collecting certifi>=2017.4.17
2025-08-14T22:46:25.8420439Z   Downloading certifi-2025.8.3-py3-none-any.whl (161 kB)
2025-08-14T22:46:25.9308772Z Installing collected packages: charset-normalizer, certifi, requests, pyyaml
2025-08-14T22:46:26.0476542Z Successfully installed certifi-2025.8.3 charset-normalizer-2.0.12 pyyaml-6.0.2 requests-2.27.1
2025-08-14T22:46:26.7966113Z Command completed after 1 attempt(s).
2025-08-14T22:46:26.8041021Z ##[group]Run set -x
2025-08-14T22:46:26.8041403Z set -x
2025-08-14T22:46:26.8041627Z 
2025-08-14T22:46:26.8042028Z # Use relative path here as this could be checked out anywhere, not necessarily
2025-08-14T22:46:26.8042484Z # in runner workspace
2025-08-14T22:46:26.8042854Z python3 "${GITHUB_ACTION_PATH}/../../scripts/parse_ref.py"
2025-08-14T22:46:26.8052171Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T22:46:26.8052763Z env:
2025-08-14T22:46:26.8052979Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:46:26.8053302Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-14T22:46:26.8053638Z ##[endgroup]
2025-08-14T22:46:26.8085014Z + python3 /home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/filter-test-configs/../../scripts/parse_ref.py
2025-08-14T22:46:26.8268098Z Setting output branch=main
2025-08-14T22:46:26.8345650Z ##[group]Run echo "Workflow: ${GITHUB_WORKFLOW}"
2025-08-14T22:46:26.8346047Z echo "Workflow: ${GITHUB_WORKFLOW}"
2025-08-14T22:46:26.8346373Z echo "Job name: ${JOB_NAME}"
2025-08-14T22:46:26.8346660Z 
2025-08-14T22:46:26.8347026Z # Use relative path here as this could be checked out anywhere, not necessarily
2025-08-14T22:46:26.8347480Z # in runner workspace
2025-08-14T22:46:26.8347895Z python3 "${GITHUB_ACTION_PATH}/../../scripts/filter_test_configs.py" \
2025-08-14T22:46:26.8348373Z   --workflow "${GITHUB_WORKFLOW}" \
2025-08-14T22:46:26.8348697Z   --job-name "${JOB_NAME}" \
2025-08-14T22:46:26.8350442Z   --test-matrix "{"include": [{"config": "inductor_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "inductor_timm", "shard": 1, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "inductor_timm", "shard": 2, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}]}" \
2025-08-14T22:46:26.8352219Z   --selected-test-configs "" \
2025-08-14T22:46:26.8352556Z   --pr-number "${PR_NUMBER}" \
2025-08-14T22:46:26.8352868Z   --tag "${TAG}" \
2025-08-14T22:46:26.8353157Z   --event-name "${EVENT_NAME}" \
2025-08-14T22:46:26.8353484Z   --schedule "${SCHEDULE}" \
2025-08-14T22:46:26.8353802Z   --branch "${HEAD_BRANCH}"
2025-08-14T22:46:26.8362787Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T22:46:26.8363144Z env:
2025-08-14T22:46:26.8363362Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:46:26.8363697Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-14T22:46:26.8364427Z   GITHUB_TOKEN: ***
2025-08-14T22:46:26.8364893Z   JOB_NAME: cuda12.8-py3.10-gcc9-sm86 / test (inductor_torchbench, 2, 2, linux.g5.4xlarge.nvidia.gpu)
2025-08-14T22:46:26.8365407Z   PR_NUMBER: 
2025-08-14T22:46:26.8365631Z   TAG: 
2025-08-14T22:46:26.8365839Z   EVENT_NAME: push
2025-08-14T22:46:26.8366069Z   SCHEDULE: 
2025-08-14T22:46:26.8366286Z   HEAD_BRANCH: main
2025-08-14T22:46:26.8366517Z ##[endgroup]
2025-08-14T22:46:26.8398026Z Workflow: inductor
2025-08-14T22:46:26.8398511Z Job name: cuda12.8-py3.10-gcc9-sm86 / test (inductor_torchbench, 2, 2, linux.g5.4xlarge.nvidia.gpu)
2025-08-14T22:46:27.0082358Z Setting output keep-going=True
2025-08-14T22:46:27.0082721Z Setting output ci-verbose-test-logs=False
2025-08-14T22:46:27.0083068Z Setting output ci-test-showlocals=False
2025-08-14T22:46:27.0083395Z Setting output ci-no-test-timeout=False
2025-08-14T22:46:27.0083713Z Setting output ci-no-td=False
2025-08-14T22:46:27.0084215Z Setting output ci-td-distributed=False
2025-08-14T22:46:27.0084537Z Setting output is-unstable=False
2025-08-14T22:46:27.0084832Z Setting output reenabled-issues=
2025-08-14T22:46:27.0086609Z Setting output test-matrix={"include": [{"config": "inductor_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "inductor_timm", "shard": 1, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "inductor_timm", "shard": 2, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}]}
2025-08-14T22:46:27.0088584Z Setting output is-test-matrix-empty=False
2025-08-14T22:46:27.0220870Z ##[group]Run echo "Filtered matrix:"
2025-08-14T22:46:27.0221206Z echo "Filtered matrix:"
2025-08-14T22:46:27.0222988Z echo "{"include": [{"config": "inductor_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "inductor_timm", "shard": 1, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "inductor_timm", "shard": 2, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}, {"config": "inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu"}]}"
2025-08-14T22:46:27.0224983Z 
2025-08-14T22:46:27.0225181Z echo
2025-08-14T22:46:27.0225454Z echo "Is the current job unstable? False"
2025-08-14T22:46:27.0225778Z 
2025-08-14T22:46:27.0225986Z echo
2025-08-14T22:46:27.0226235Z echo "Is keep-going label set? True"
2025-08-14T22:46:27.0226539Z 
2025-08-14T22:46:27.0226733Z echo
2025-08-14T22:46:27.0226966Z echo "Reenabled issues? "
2025-08-14T22:46:27.0235973Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T22:46:27.0236323Z env:
2025-08-14T22:46:27.0236539Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:46:27.0236860Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-14T22:46:27.0237203Z ##[endgroup]
2025-08-14T22:46:27.0271937Z Filtered matrix:
2025-08-14T22:46:27.0273785Z {include: [{config: inductor_huggingface, shard: 1, num_shards: 1, runner: linux.g5.4xlarge.nvidia.gpu}, {config: inductor_timm, shard: 1, num_shards: 2, runner: linux.g5.4xlarge.nvidia.gpu}, {config: inductor_timm, shard: 2, num_shards: 2, runner: linux.g5.4xlarge.nvidia.gpu}, {config: inductor_torchbench, shard: 1, num_shards: 2, runner: linux.g5.4xlarge.nvidia.gpu}, {config: inductor_torchbench, shard: 2, num_shards: 2, runner: linux.g5.4xlarge.nvidia.gpu}]}
2025-08-14T22:46:27.0275399Z 
2025-08-14T22:46:27.0275532Z Is the current job unstable? False
2025-08-14T22:46:27.0275729Z 
2025-08-14T22:46:27.0275838Z Is keep-going label set? True
2025-08-14T22:46:27.0276041Z 
2025-08-14T22:46:27.0276135Z Reenabled issues? 
2025-08-14T22:46:27.0320191Z ##[group]Run echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}"
2025-08-14T22:46:27.0320699Z echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}"
2025-08-14T22:46:27.0330205Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T22:46:27.0330573Z env:
2025-08-14T22:46:27.0330798Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:46:27.0331214Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-14T22:46:27.0331571Z   JOB_TIMEOUT: 240
2025-08-14T22:46:27.0331807Z ##[endgroup]
2025-08-14T22:46:27.0393091Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-08-14T22:46:27.0393593Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-08-14T22:46:27.0394029Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-08-14T22:46:27.0402284Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T22:46:27.0402813Z env:
2025-08-14T22:46:27.0403026Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:46:27.0403343Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-14T22:46:27.0403687Z ##[endgroup]
2025-08-14T22:46:27.0529868Z ##[group]Run set -x
2025-08-14T22:46:27.0530294Z set -x
2025-08-14T22:46:27.0530596Z 
2025-08-14T22:46:27.0530945Z if [[ $TEST_CONFIG == 'multigpu' ]]; then
2025-08-14T22:46:27.0531611Z   TEST_COMMAND=.ci/pytorch/multigpu-test.sh
2025-08-14T22:46:27.0532139Z elif [[ $BUILD_ENVIRONMENT == *onnx* ]]; then
2025-08-14T22:46:27.0532622Z   TEST_COMMAND=.ci/onnx/test.sh
2025-08-14T22:46:27.0533034Z else
2025-08-14T22:46:27.0533381Z   TEST_COMMAND=.ci/pytorch/test.sh
2025-08-14T22:46:27.0533793Z fi
2025-08-14T22:46:27.0534076Z 
2025-08-14T22:46:27.0534438Z # Leaving 1GB for the runner and other things
2025-08-14T22:46:27.0547537Z TOTAL_AVAILABLE_MEMORY_IN_GB=$(awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo)
2025-08-14T22:46:27.0548726Z # https://docs.docker.com/engine/containers/resource_constraints/#--memory-swap-details, the 3GB swap
2025-08-14T22:46:27.0549708Z # comes from https://github.com/pytorch/test-infra/pull/6058
2025-08-14T22:46:27.0550514Z TOTAL_MEMORY_WITH_SWAP=$(("${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}" + 3))
2025-08-14T22:46:27.0551116Z 
2025-08-14T22:46:27.0551504Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then
2025-08-14T22:46:27.0551997Z   SHM_OPTS=
2025-08-14T22:46:27.0552346Z   JENKINS_USER=
2025-08-14T22:46:27.0552842Z   # ensure that docker container cleanly exits in 12 hours
2025-08-14T22:46:27.0553516Z   # if for some reason cleanup action doesn't stop container
2025-08-14T22:46:27.0554069Z   # when job is cancelled
2025-08-14T22:46:27.0554502Z   DOCKER_SHELL_CMD="sleep 12h"
2025-08-14T22:46:27.0554921Z else
2025-08-14T22:46:27.0555265Z   SHM_OPTS="--shm-size=${SHM_SIZE}"
2025-08-14T22:46:27.0555732Z   JENKINS_USER="--user jenkins"
2025-08-14T22:46:27.0556197Z   DOCKER_SHELL_CMD=
2025-08-14T22:46:27.0556581Z fi
2025-08-14T22:46:27.0556891Z 
2025-08-14T22:46:27.0557387Z # detached container should get cleaned up by teardown_ec2_linux
2025-08-14T22:46:27.0558128Z # TODO: Stop building test binaries as part of the build phase
2025-08-14T22:46:27.0558999Z # Used for GPU_FLAG, SHM_OPTS, JENKINS_USER and DOCKER_SHELL_CMD since that doesn't play nice
2025-08-14T22:46:27.0559759Z # shellcheck disable=SC2086,SC2090
2025-08-14T22:46:27.0560241Z container_name=$(docker run \
2025-08-14T22:46:27.0560664Z   ${GPU_FLAG:-} \
2025-08-14T22:46:27.0561083Z   ${SCCACHE_SERVER_PORT_DOCKER_FLAG:-} \
2025-08-14T22:46:27.0561563Z   -e BUILD_ENVIRONMENT \
2025-08-14T22:46:27.0562021Z   -e PR_NUMBER \
2025-08-14T22:46:27.0562409Z   -e GITHUB_ACTIONS \
2025-08-14T22:46:27.0562829Z   -e GITHUB_REPOSITORY \
2025-08-14T22:46:27.0563281Z   -e GITHUB_WORKFLOW \
2025-08-14T22:46:27.0563706Z   -e GITHUB_JOB \
2025-08-14T22:46:27.0564101Z   -e GITHUB_RUN_ID \
2025-08-14T22:46:27.0564494Z   -e GITHUB_RUN_NUMBER \
2025-08-14T22:46:27.0564892Z   -e GITHUB_RUN_ATTEMPT \
2025-08-14T22:46:27.0565317Z   -e JOB_ID \
2025-08-14T22:46:27.0565679Z   -e JOB_NAME \
2025-08-14T22:46:27.0566031Z   -e BASE_SHA \
2025-08-14T22:46:27.0566401Z   -e BRANCH \
2025-08-14T22:46:27.0566754Z   -e SHA1 \
2025-08-14T22:46:27.0567105Z   -e AWS_DEFAULT_REGION \
2025-08-14T22:46:27.0567519Z   -e IN_WHEEL_TEST \
2025-08-14T22:46:27.0567907Z   -e SHARD_NUMBER \
2025-08-14T22:46:27.0568287Z   -e TEST_CONFIG \
2025-08-14T22:46:27.0568886Z   -e NUM_TEST_SHARDS \
2025-08-14T22:46:27.0569295Z   -e REENABLED_ISSUES \
2025-08-14T22:46:27.0569729Z   -e CONTINUE_THROUGH_ERROR \
2025-08-14T22:46:27.0570345Z   -e VERBOSE_TEST_LOGS \
2025-08-14T22:46:27.0570809Z   -e TEST_SHOWLOCALS \
2025-08-14T22:46:27.0571328Z   -e NO_TEST_TIMEOUT \
2025-08-14T22:46:27.0571729Z   -e NO_TD \
2025-08-14T22:46:27.0572129Z   -e TD_DISTRIBUTED \
2025-08-14T22:46:27.0572533Z   -e PR_LABELS \
2025-08-14T22:46:27.0572934Z   -e MAX_JOBS="$(nproc --ignore=2)" \
2025-08-14T22:46:27.0573414Z   -e SCCACHE_BUCKET \
2025-08-14T22:46:27.0573825Z   -e SCCACHE_REGION \
2025-08-14T22:46:27.0574216Z   -e XLA_CUDA \
2025-08-14T22:46:27.0574612Z   -e XLA_CLANG_CACHE_S3_BUCKET_NAME \
2025-08-14T22:46:27.0575112Z   -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK \
2025-08-14T22:46:27.0575621Z   -e PYTORCH_TEST_RERUN_DISABLED_TESTS \
2025-08-14T22:46:27.0576133Z   -e SKIP_SCCACHE_INITIALIZATION=1 \
2025-08-14T22:46:27.0576623Z   -e HUGGING_FACE_HUB_TOKEN \
2025-08-14T22:46:27.0577121Z   -e SCRIBE_GRAPHQL_ACCESS_TOKEN \
2025-08-14T22:46:27.0577614Z   -e DASHBOARD_TAG \
2025-08-14T22:46:27.0578022Z   -e ARTIFACTS_FILE_SUFFIX \
2025-08-14T22:46:27.0578526Z   --memory="${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}g" \
2025-08-14T22:46:27.0579140Z   --memory-swap="${TOTAL_MEMORY_WITH_SWAP}g" \
2025-08-14T22:46:27.0579708Z   --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \
2025-08-14T22:46:27.0580175Z   --security-opt seccomp=unconfined \
2025-08-14T22:46:27.0580512Z   --cap-add=SYS_PTRACE \
2025-08-14T22:46:27.0580796Z   --ipc=host \
2025-08-14T22:46:27.0581057Z   ${SHM_OPTS} \
2025-08-14T22:46:27.0581306Z   --tty \
2025-08-14T22:46:27.0581538Z   --detach \
2025-08-14T22:46:27.0581793Z   --name="${container_name}" \
2025-08-14T22:46:27.0582111Z   ${JENKINS_USER} \
2025-08-14T22:46:27.0582447Z   -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \
2025-08-14T22:46:27.0582831Z   -w /var/lib/jenkins/workspace \
2025-08-14T22:46:27.0583142Z   "${DOCKER_IMAGE}" \
2025-08-14T22:46:27.0583415Z   ${DOCKER_SHELL_CMD}
2025-08-14T22:46:27.0583668Z )
2025-08-14T22:46:27.0583955Z # Propagate download.pytorch.org IP to container
2025-08-14T22:46:27.0584590Z grep download.pytorch.org /etc/hosts | docker exec -i "${container_name}" sudo bash -c "/bin/cat >> /etc/hosts"
2025-08-14T22:46:27.0585265Z echo "DOCKER_CONTAINER_ID=${container_name}" >> "${GITHUB_ENV}"
2025-08-14T22:46:27.0585646Z 
2025-08-14T22:46:27.0585907Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then
2025-08-14T22:46:27.0586460Z   docker exec -t "${container_name}" sh -c "python3 -m pip install -r .ci/docker/requirements-ci.txt"
2025-08-14T22:46:27.0586953Z fi
2025-08-14T22:46:27.0587154Z 
2025-08-14T22:46:27.0587624Z docker exec -t "${container_name}" sh -c "python3 -m pip install $(echo dist/*.whl)[opt-einsum] && ${TEST_COMMAND}"
2025-08-14T22:46:27.0596672Z shell: /usr/bin/bash -e {0}
2025-08-14T22:46:27.0596929Z env:
2025-08-14T22:46:27.0597147Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:46:27.0597474Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-14T22:46:27.0597905Z   BUILD_ENVIRONMENT: linux-jammy-cuda12.8-py3.10-gcc9-sm86
2025-08-14T22:46:27.0598270Z   PR_NUMBER: 
2025-08-14T22:46:27.0598521Z   GITHUB_REPOSITORY: pytorch/pytorch
2025-08-14T22:46:27.0598821Z   GITHUB_WORKFLOW: inductor
2025-08-14T22:46:27.0599081Z   GITHUB_JOB: test
2025-08-14T22:46:27.0599319Z   GITHUB_RUN_ID: 16976255153
2025-08-14T22:46:27.0599590Z   GITHUB_RUN_NUMBER: 147536
2025-08-14T22:46:27.0599849Z   GITHUB_RUN_ATTEMPT: 1
2025-08-14T22:46:27.0600095Z   JOB_ID: 48131873416
2025-08-14T22:46:27.0600651Z   JOB_NAME: cuda12.8-py3.10-gcc9-sm86 / test (inductor_torchbench, 2, 2, linux.g5.4xlarge.nvidia.gpu)
2025-08-14T22:46:27.0601148Z   BRANCH: main
2025-08-14T22:46:27.0601517Z   SHA1: 1fc683cf17c8c673044538d10266c00f92987be2
2025-08-14T22:46:27.0601936Z   BASE_SHA: 1fc683cf17c8c673044538d10266c00f92987be2
2025-08-14T22:46:27.0602275Z   TEST_CONFIG: inductor_torchbench
2025-08-14T22:46:27.0602557Z   SHARD_NUMBER: 2
2025-08-14T22:46:27.0602793Z   NUM_TEST_SHARDS: 2
2025-08-14T22:46:27.0603035Z   REENABLED_ISSUES: 
2025-08-14T22:46:27.0603283Z   CONTINUE_THROUGH_ERROR: True
2025-08-14T22:46:27.0603559Z   VERBOSE_TEST_LOGS: False
2025-08-14T22:46:27.0603829Z   TEST_SHOWLOCALS: False
2025-08-14T22:46:27.0604082Z   NO_TEST_TIMEOUT: False
2025-08-14T22:46:27.0604328Z   NO_TD: False
2025-08-14T22:46:27.0604559Z   TD_DISTRIBUTED: False
2025-08-14T22:46:27.0604864Z   SCCACHE_BUCKET: ossci-compiler-cache-circleci-v2
2025-08-14T22:46:27.0605223Z   SCCACHE_REGION: us-east-1
2025-08-14T22:46:27.0605483Z   SHM_SIZE: 2g
2025-08-14T22:46:27.0606361Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T22:46:27.0607288Z   XLA_CUDA: 
2025-08-14T22:46:27.0607647Z   XLA_CLANG_CACHE_S3_BUCKET_NAME: ossci-compiler-clang-cache-circleci-xla
2025-08-14T22:46:27.0608091Z   PYTORCH_TEST_CUDA_MEM_LEAK_CHECK: 0
2025-08-14T22:46:27.0608405Z   PYTORCH_TEST_RERUN_DISABLED_TESTS: 0
2025-08-14T22:46:27.0608704Z   DASHBOARD_TAG: 
2025-08-14T22:46:27.0609123Z   HUGGING_FACE_HUB_TOKEN: ***
2025-08-14T22:46:27.0609527Z   SCRIBE_GRAPHQL_ACCESS_TOKEN: ***
2025-08-14T22:46:27.0610024Z   ARTIFACTS_FILE_SUFFIX: test-inductor_torchbench-2-2-linux.g5.4xlarge.nvidia.gpu_48131873416
2025-08-14T22:46:27.0610532Z ##[endgroup]
2025-08-14T22:46:27.0640856Z + [[ inductor_torchbench == \m\u\l\t\i\g\p\u ]]
2025-08-14T22:46:27.0641268Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 == *onnx* ]]
2025-08-14T22:46:27.0641678Z + TEST_COMMAND=.ci/pytorch/test.sh
2025-08-14T22:46:27.0645230Z ++ awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo
2025-08-14T22:46:27.0678263Z + TOTAL_AVAILABLE_MEMORY_IN_GB='61.094 '
2025-08-14T22:46:27.0678895Z + TOTAL_MEMORY_WITH_SWAP=64
2025-08-14T22:46:27.0679586Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 == *\s\3\9\0\x* ]]
2025-08-14T22:46:27.0680321Z + SHM_OPTS=--shm-size=2g
2025-08-14T22:46:27.0680840Z + JENKINS_USER='--user jenkins'
2025-08-14T22:46:27.0681365Z + DOCKER_SHELL_CMD=
2025-08-14T22:46:27.0688049Z +++ nproc --ignore=2
2025-08-14T22:46:27.0717232Z ++ docker run --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all -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=14 -e SCCACHE_BUCKET -e SCCACHE_REGION -e XLA_CUDA -e XLA_CLANG_CACHE_S3_BUCKET_NAME -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK -e PYTORCH_TEST_RERUN_DISABLED_TESTS -e SKIP_SCCACHE_INITIALIZATION=1 -e HUGGING_FACE_HUB_TOKEN -e SCRIBE_GRAPHQL_ACCESS_TOKEN -e DASHBOARD_TAG -e ARTIFACTS_FILE_SUFFIX --memory=61g --memory-swap=64g --env-file=/tmp/github_env_16976255153 --security-opt seccomp=unconfined --cap-add=SYS_PTRACE --ipc=host --shm-size=2g --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-cuda12.8-cudnn9-py3-gcc9-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T22:46:36.6051175Z + container_name=fcf15ca113843da4c75bbd902de53a61593133478e83d4dad1cc0e9451721182
2025-08-14T22:46:36.6054261Z + grep download.pytorch.org /etc/hosts
2025-08-14T22:46:36.6055671Z + docker exec -i fcf15ca113843da4c75bbd902de53a61593133478e83d4dad1cc0e9451721182 sudo bash -c '/bin/cat >> /etc/hosts'
2025-08-14T22:46:36.7630308Z + echo DOCKER_CONTAINER_ID=fcf15ca113843da4c75bbd902de53a61593133478e83d4dad1cc0e9451721182
2025-08-14T22:46:36.7630937Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 == *\s\3\9\0\x* ]]
2025-08-14T22:46:36.7638949Z ++ echo dist/torch-2.9.0a0+git1fc683c-cp310-cp310-linux_x86_64.whl
2025-08-14T22:46:36.7642527Z + docker exec -t fcf15ca113843da4c75bbd902de53a61593133478e83d4dad1cc0e9451721182 sh -c 'python3 -m pip install dist/torch-2.9.0a0+git1fc683c-cp310-cp310-linux_x86_64.whl[opt-einsum] && .ci/pytorch/test.sh'
2025-08-14T22:46:37.3505170Z Processing ./dist/torch-2.9.0a0+git1fc683c-cp310-cp310-linux_x86_64.whl (from torch==2.9.0a0+git1fc683c)
2025-08-14T22:46:37.6663726Z Requirement already satisfied: filelock in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.9.0a0+git1fc683c->torch==2.9.0a0+git1fc683c) (3.18.0)
2025-08-14T22:46:37.6667819Z Requirement already satisfied: typing-extensions>=4.10.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.9.0a0+git1fc683c->torch==2.9.0a0+git1fc683c) (4.14.1)
2025-08-14T22:46:37.6672650Z Requirement already satisfied: sympy>=1.13.3 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.9.0a0+git1fc683c->torch==2.9.0a0+git1fc683c) (1.13.3)
2025-08-14T22:46:37.6677943Z Requirement already satisfied: networkx>=2.5.1 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.9.0a0+git1fc683c->torch==2.9.0a0+git1fc683c) (2.8.8)
2025-08-14T22:46:37.6681646Z Requirement already satisfied: jinja2 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.9.0a0+git1fc683c->torch==2.9.0a0+git1fc683c) (3.1.6)
2025-08-14T22:46:37.6686797Z Requirement already satisfied: fsspec>=0.8.5 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.9.0a0+git1fc683c->torch==2.9.0a0+git1fc683c) (2025.3.0)
2025-08-14T22:46:37.6702137Z Requirement already satisfied: opt-einsum>=3.3 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.9.0a0+git1fc683c->torch==2.9.0a0+git1fc683c) (3.3.0)
2025-08-14T22:46:37.7087235Z Requirement already satisfied: numpy>=1.7 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from opt-einsum>=3.3->torch==2.9.0a0+git1fc683c->torch==2.9.0a0+git1fc683c) (1.22.4)
2025-08-14T22:46:37.7104342Z Requirement already satisfied: mpmath<1.4,>=1.1.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from sympy>=1.13.3->torch==2.9.0a0+git1fc683c->torch==2.9.0a0+git1fc683c) (1.3.0)
2025-08-14T22:46:37.7169960Z Requirement already satisfied: MarkupSafe>=2.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from jinja2->torch==2.9.0a0+git1fc683c->torch==2.9.0a0+git1fc683c) (3.0.2)
2025-08-14T22:46:38.6454535Z Installing collected packages: torch
2025-08-14T22:46:49.8846929Z 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.
2025-08-14T22:46:49.8848762Z dall-e 0.1 requires torchvision, which is not installed.
2025-08-14T22:46:49.8849297Z effdet 0.4.1 requires torchvision, which is not installed.
2025-08-14T22:46:49.8849789Z python-doctr 1.0.0 requires torchvision>=0.15.0, which is not installed.
2025-08-14T22:46:49.8850379Z pytorch-labs-segment-anything-fast 0.2 requires torchao, which is not installed.
2025-08-14T22:46:49.8851105Z pytorch-labs-segment-anything-fast 0.2 requires torchvision>=0.17.0.dev20231026, which is not installed.
2025-08-14T22:46:49.8851966Z timm 1.0.14 requires torchvision, which is not installed.
2025-08-14T22:46:49.8852460Z Successfully installed torch-2.9.0a0+git1fc683c
2025-08-14T22:46:50.0000127Z + export TERM=vt100
2025-08-14T22:46:50.0000379Z + TERM=vt100
2025-08-14T22:46:50.0002937Z ++ dirname .ci/pytorch/test.sh
2025-08-14T22:46:50.0125183Z + source .ci/pytorch/common.sh
2025-08-14T22:46:50.0128630Z +++ dirname .ci/pytorch/common.sh
2025-08-14T22:46:50.0139440Z ++ source .ci/pytorch/common_utils.sh
2025-08-14T22:46:50.0181012Z +++ declare -f -t trap_add
2025-08-14T22:46:50.0185564Z ++ set -ex -o pipefail
2025-08-14T22:46:50.0186333Z ++ [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 == *rocm* ]]
2025-08-14T22:46:50.0186721Z ++ BUILD_TEST_LIBTORCH=0
2025-08-14T22:46:50.0198674Z ++ dirname .ci/pytorch/test.sh
2025-08-14T22:46:50.0232784Z + source .ci/pytorch/common-build.sh
2025-08-14T22:46:50.0262848Z ++ [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 != *win-* ]]
2025-08-14T22:46:50.0270201Z ++++ dirname .ci/pytorch/common-build.sh
2025-08-14T22:46:50.0281856Z +++ cd .ci/pytorch
2025-08-14T22:46:50.0282127Z +++ pwd -P
2025-08-14T22:46:50.0285636Z ++ script_dir=/var/lib/jenkins/workspace/.ci/pytorch
2025-08-14T22:46:50.0286254Z ++ [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 == *-pch* ]]
2025-08-14T22:46:50.0286732Z ++ which sccache
2025-08-14T22:46:50.0343250Z ++ [[ -z ossci-compiler-cache-circleci-v2 ]]
2025-08-14T22:46:50.0343630Z ++ sccache --stop-server
2025-08-14T22:46:50.0375492Z ++ true
2025-08-14T22:46:50.0375740Z ++ rm -f /var/lib/jenkins/sccache_error.log
2025-08-14T22:46:50.0430545Z ++ trap_add sccache_epilogue EXIT
2025-08-14T22:46:50.0430863Z ++ trap_add_cmd=sccache_epilogue
2025-08-14T22:46:50.0431122Z ++ shift
2025-08-14T22:46:50.0431340Z ++ for trap_add_name in "$@"
2025-08-14T22:46:50.0437895Z ++++ trap -p EXIT
2025-08-14T22:46:50.0441264Z +++ eval 'extract_trap_cmd '
2025-08-14T22:46:50.0441656Z ++++ extract_trap_cmd
2025-08-14T22:46:50.0441911Z ++++ printf '%s\n' ''
2025-08-14T22:46:50.0442163Z +++ printf '%s\n' sccache_epilogue
2025-08-14T22:46:50.0445440Z ++ trap -- '
2025-08-14T22:46:50.0445762Z sccache_epilogue' EXIT
2025-08-14T22:46:50.0446007Z ++ [[ -n 1 ]]
2025-08-14T22:46:50.0446371Z ++ echo 'Skipping sccache server initialization, setting environment variables'
2025-08-14T22:46:50.0447031Z Skipping sccache server initialization, setting environment variables
2025-08-14T22:46:50.0447526Z ++ export SCCACHE_IDLE_TIMEOUT=0
2025-08-14T22:46:50.0447817Z ++ SCCACHE_IDLE_TIMEOUT=0
2025-08-14T22:46:50.0448176Z ++ export SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log
2025-08-14T22:46:50.0448665Z ++ SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log
2025-08-14T22:46:50.0449090Z ++ export RUST_LOG=sccache::server=error
2025-08-14T22:46:50.0449447Z ++ RUST_LOG=sccache::server=error
2025-08-14T22:46:50.0449735Z ++ sccache --zero-stats
2025-08-14T22:46:50.4231920Z Statistics zeroed.
2025-08-14T22:46:50.4241962Z ++ which ccache
2025-08-14T22:46:50.4278973Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 != *rocm* ]]
2025-08-14T22:46:50.4279411Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 != *s390x* ]]
2025-08-14T22:46:50.4279889Z + [[ -d /var/lib/jenkins/workspace ]]
2025-08-14T22:46:50.4283056Z ++ stat -c %u /var/lib/jenkins/workspace
2025-08-14T22:46:50.4371511Z + WORKSPACE_ORIGINAL_OWNER_ID=1000
2025-08-14T22:46:50.4371857Z + trap_add cleanup_workspace EXIT
2025-08-14T22:46:50.4372269Z + trap_add_cmd=cleanup_workspace
2025-08-14T22:46:50.4372620Z + shift
2025-08-14T22:46:50.4372862Z + for trap_add_name in "$@"
2025-08-14T22:46:50.4380574Z +++ trap -p EXIT
2025-08-14T22:46:50.4384237Z ++ eval 'extract_trap_cmd trap -- '\''
2025-08-14T22:46:50.4384639Z sccache_epilogue'\'' EXIT'
2025-08-14T22:46:50.4384915Z +++ extract_trap_cmd trap -- '
2025-08-14T22:46:50.4385185Z sccache_epilogue' EXIT
2025-08-14T22:46:50.4385426Z +++ printf '%s\n' '
2025-08-14T22:46:50.4385664Z sccache_epilogue'
2025-08-14T22:46:50.4385907Z ++ printf '%s\n' cleanup_workspace
2025-08-14T22:46:50.4388049Z + trap -- '
2025-08-14T22:46:50.4388274Z sccache_epilogue
2025-08-14T22:46:50.4388503Z cleanup_workspace' EXIT
2025-08-14T22:46:50.4388802Z + sudo chown -R jenkins /var/lib/jenkins/workspace
2025-08-14T22:46:51.4313269Z + git config --global --add safe.directory /var/lib/jenkins/workspace
2025-08-14T22:46:51.4450833Z + echo 'Environment variables:'
2025-08-14T22:46:51.4451264Z Environment variables:
2025-08-14T22:46:51.4451548Z + env
2025-08-14T22:46:51.4471936Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-08-14T22:46:51.4472555Z CONTINUE_THROUGH_ERROR=True
2025-08-14T22:46:51.4473329Z BUILD_ENVIRONMENT=linux-jammy-cuda12.8-py3.10-gcc9-sm86
2025-08-14T22:46:51.4473888Z HOSTNAME=fcf15ca11384
2025-08-14T22:46:51.4474634Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_82bab346-3f9d-4337-b939-bd7925118015
2025-08-14T22:46:51.4475435Z GITHUB_ACTION=__run_2
2025-08-14T22:46:51.4475724Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0
2025-08-14T22:46:51.4476018Z GITHUB_RUN_NUMBER=147536
2025-08-14T22:46:51.4476276Z TEST_CONFIG=inductor_torchbench
2025-08-14T22:46:51.4476567Z GITHUB_REPOSITORY_OWNER_ID=21003710
2025-08-14T22:46:51.4476880Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all
2025-08-14T22:46:51.4477177Z SCCACHE_IDLE_TIMEOUT=0
2025-08-14T22:46:51.4477651Z SCRIBE_GRAPHQL_ACCESS_TOKEN=***
2025-08-14T22:46:51.4477950Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot
2025-08-14T22:46:51.4478258Z GITHUB_REF_TYPE=branch
2025-08-14T22:46:51.4478512Z TORCH_CUDA_ARCH_LIST=Maxwell
2025-08-14T22:46:51.4478817Z BASE_SHA=1fc683cf17c8c673044538d10266c00f92987be2
2025-08-14T22:46:51.4479135Z XLA_CUDA=
2025-08-14T22:46:51.4479361Z NCCL_LIB_DIR=/usr/local/cuda/lib64/
2025-08-14T22:46:51.4479754Z HUGGING_FACE_HUB_TOKEN=***
2025-08-14T22:46:51.4482295Z ***
2025-08-14T22:46:51.4482582Z GITHUB_REPOSITORY_ID=65600975
2025-08-14T22:46:51.4482849Z GITHUB_ACTIONS=true
2025-08-14T22:46:51.4483098Z NVIDIA_DRIVER_CAPABILITIES=all
2025-08-14T22:46:51.4483429Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log
2025-08-14T22:46:51.4483798Z SHA1=1fc683cf17c8c673044538d10266c00f92987be2
2025-08-14T22:46:51.4484156Z GITHUB_SHA=1fc683cf17c8c673044538d10266c00f92987be2
2025-08-14T22:46:51.4484659Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor.yml@refs/heads/main
2025-08-14T22:46:51.4485113Z UCC_HOME=/usr
2025-08-14T22:46:51.4485338Z VERBOSE_TEST_LOGS=False
2025-08-14T22:46:51.4485592Z GITHUB_REF=refs/heads/main
2025-08-14T22:46:51.4485848Z SHARD_NUMBER=2
2025-08-14T22:46:51.4486083Z GITHUB_REF_PROTECTED=true
2025-08-14T22:46:51.4486339Z HOME=/var/lib/jenkins
2025-08-14T22:46:51.4486612Z GITHUB_API_URL=https://api.github.com
2025-08-14T22:46:51.4486933Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0
2025-08-14T22:46:51.4487274Z UCX_COMMIT=7bb2722ff2187a0cad557ae4a6afa090569f83fb
2025-08-14T22:46:51.4487609Z USE_SYSTEM_NCCL=1
2025-08-14T22:46:51.4487834Z NUM_TEST_SHARDS=2
2025-08-14T22:46:51.4488056Z UCX_HOME=/usr
2025-08-14T22:46:51.4488599Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_82bab346-3f9d-4337-b939-bd7925118015
2025-08-14T22:46:51.4489420Z JOB_NAME=cuda12.8-py3.10-gcc9-sm86 / test (inductor_torchbench, 2, 2, linux.g5.4xlarge.nvidia.gpu)
2025-08-14T22:46:51.4490275Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_82bab346-3f9d-4337-b939-bd7925118015
2025-08-14T22:46:51.4491048Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json
2025-08-14T22:46:51.4491654Z GITHUB_EVENT_NAME=push
2025-08-14T22:46:51.4491892Z DASHBOARD_TAG=
2025-08-14T22:46:51.4492121Z GITHUB_RUN_ID=16976255153
2025-08-14T22:46:51.4492377Z INSTALLED_OPENBLAS=
2025-08-14T22:46:51.4492955Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_82bab346-3f9d-4337-b939-bd7925118015
2025-08-14T22:46:51.4493608Z GITHUB_ACTOR=pytorchmergebot
2025-08-14T22:46:51.4493874Z PR_NUMBER=
2025-08-14T22:46:51.4494080Z DESIRED_CUDA=12.8.1
2025-08-14T22:46:51.4494312Z GITHUB_RUN_ATTEMPT=1
2025-08-14T22:46:51.4494560Z ANACONDA_PYTHON_VERSION=3.10
2025-08-14T22:46:51.4494907Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql
2025-08-14T22:46:51.4495245Z TERM=vt100
2025-08-14T22:46:51.4495451Z INSTALLED_VISION=yes
2025-08-14T22:46:51.4495683Z BRANCH=main
2025-08-14T22:46:51.4505501Z SCCACHE_REGION=us-east-1
2025-08-14T22:46:51.4505803Z OPENSSL_ROOT_DIR=/opt/openssl
2025-08-14T22:46:51.4506081Z CUDA_PATH=/usr/local/cuda
2025-08-14T22:46:51.4506593Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux
2025-08-14T22:46:51.4507277Z GITHUB_SERVER_URL=https://github.com
2025-08-14T22:46:51.4507712Z UCC_COMMIT=20eae37090a4ce1b32bcce6144ccad0b49943e0b
2025-08-14T22:46:51.4508047Z REENABLED_ISSUES=
2025-08-14T22:46:51.4508267Z DOCS=
2025-08-14T22:46:51.4508457Z SHLVL=1
2025-08-14T22:46:51.4508653Z MAX_JOBS=14
2025-08-14T22:46:51.4508870Z GITHUB_ACTOR_ID=97764156
2025-08-14T22:46:51.4509195Z GITHUB_WORKFLOW_SHA=1fc683cf17c8c673044538d10266c00f92987be2
2025-08-14T22:46:51.4509566Z GITHUB_REF_NAME=main
2025-08-14T22:46:51.4509940Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla
2025-08-14T22:46:51.4510350Z GITHUB_JOB=test
2025-08-14T22:46:51.4510570Z NO_TEST_TIMEOUT=False
2025-08-14T22:46:51.4510816Z TD_DISTRIBUTED=False
2025-08-14T22:46:51.4511078Z GITHUB_REPOSITORY=pytorch/pytorch
2025-08-14T22:46:51.4511365Z GITHUB_RETENTION_DAYS=90
2025-08-14T22:46:51.4511624Z OPENSSL_DIR=/opt/openssl
2025-08-14T22:46:51.4511897Z GITHUB_ACTION_REPOSITORY=
2025-08-14T22:46:51.4512634Z PATH=/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
2025-08-14T22:46:51.4513385Z GITHUB_BASE_REF=
2025-08-14T22:46:51.4513611Z INSTALLED_ACL=
2025-08-14T22:46:51.4514044Z ARTIFACTS_FILE_SUFFIX=test-inductor_torchbench-2-2-linux.g5.4xlarge.nvidia.gpu_48131873416
2025-08-14T22:46:51.4514543Z CI=true
2025-08-14T22:46:51.4514760Z GITHUB_REPOSITORY_OWNER=pytorch
2025-08-14T22:46:51.4515071Z RUST_LOG=sccache::server=error
2025-08-14T22:46:51.4515332Z JOB_ID=48131873416
2025-08-14T22:46:51.4515558Z GITHUB_HEAD_REF=
2025-08-14T22:46:51.4515779Z GITHUB_ACTION_REF=
2025-08-14T22:46:51.4516054Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2
2025-08-14T22:46:51.4516404Z TEST_SHOWLOCALS=False
2025-08-14T22:46:51.4516653Z GITHUB_WORKFLOW=inductor
2025-08-14T22:46:51.4516914Z DEBIAN_FRONTEND=noninteractive
2025-08-14T22:46:51.4517503Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_82bab346-3f9d-4337-b939-bd7925118015
2025-08-14T22:46:51.4518113Z NO_TD=False
2025-08-14T22:46:51.4518336Z SKIP_SCCACHE_INITIALIZATION=1
2025-08-14T22:46:51.4518633Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/
2025-08-14T22:46:51.4518937Z _=/usr/bin/env
2025-08-14T22:46:51.4519239Z ++ python -c 'import site; print(site.getsitepackages()[0])'
2025-08-14T22:46:51.4802893Z + TORCH_INSTALL_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch
2025-08-14T22:46:51.4803766Z + TORCH_BIN_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin
2025-08-14T22:46:51.4804454Z + TORCH_LIB_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib
2025-08-14T22:46:51.4805071Z + TORCH_TEST_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/test
2025-08-14T22:46:51.4805507Z + BUILD_DIR=build
2025-08-14T22:46:51.4805760Z + BUILD_RENAMED_DIR=build_renamed
2025-08-14T22:46:51.4806041Z + BUILD_BIN_DIR=build/bin
2025-08-14T22:46:51.4806319Z + SHARD_NUMBER=2
2025-08-14T22:46:51.4806546Z + NUM_TEST_SHARDS=2
2025-08-14T22:46:51.4806803Z + export TORCH_SERIALIZATION_DEBUG=1
2025-08-14T22:46:51.4807146Z + TORCH_SERIALIZATION_DEBUG=1
2025-08-14T22:46:51.4807477Z + export VALGRIND=ON
2025-08-14T22:46:51.4807715Z + VALGRIND=ON
2025-08-14T22:46:51.4808029Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 == *clang9* ]]
2025-08-14T22:46:51.4808543Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 == *xpu* ]]
2025-08-14T22:46:51.4809092Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 == *s390x* ]]
2025-08-14T22:46:51.4809458Z + [[ 0 == \1 ]]
2025-08-14T22:46:51.4809717Z + [[ True == \1 ]]
2025-08-14T22:46:51.4810012Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 != *bazel* ]]
2025-08-14T22:46:51.4810376Z ++ realpath build/custom_test_artifacts
2025-08-14T22:46:51.4833300Z + CUSTOM_TEST_ARTIFACT_BUILD_DIR=/var/lib/jenkins/workspace/build/custom_test_artifacts
2025-08-14T22:46:51.4833780Z + [[ -n '' ]]
2025-08-14T22:46:51.4834019Z + echo 'Environment variables'
2025-08-14T22:46:51.4834550Z Environment variables
2025-08-14T22:46:51.4834790Z + env
2025-08-14T22:46:51.4853133Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-08-14T22:46:51.4854224Z CONTINUE_THROUGH_ERROR=True
2025-08-14T22:46:51.4854675Z BUILD_ENVIRONMENT=linux-jammy-cuda12.8-py3.10-gcc9-sm86
2025-08-14T22:46:51.4855066Z HOSTNAME=fcf15ca11384
2025-08-14T22:46:51.4855683Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_82bab346-3f9d-4337-b939-bd7925118015
2025-08-14T22:46:51.4856381Z GITHUB_ACTION=__run_2
2025-08-14T22:46:51.4856739Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0
2025-08-14T22:46:51.4857047Z GITHUB_RUN_NUMBER=147536
2025-08-14T22:46:51.4857556Z TEST_CONFIG=inductor_torchbench
2025-08-14T22:46:51.4857930Z GITHUB_REPOSITORY_OWNER_ID=21003710
2025-08-14T22:46:51.4858303Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all
2025-08-14T22:46:51.4858604Z SCCACHE_IDLE_TIMEOUT=0
2025-08-14T22:46:51.4859058Z SCRIBE_GRAPHQL_ACCESS_TOKEN=***
2025-08-14T22:46:51.4859402Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot
2025-08-14T22:46:51.4859716Z GITHUB_REF_TYPE=branch
2025-08-14T22:46:51.4859965Z TORCH_CUDA_ARCH_LIST=Maxwell
2025-08-14T22:46:51.4860282Z BASE_SHA=1fc683cf17c8c673044538d10266c00f92987be2
2025-08-14T22:46:51.4860635Z XLA_CUDA=
2025-08-14T22:46:51.4860872Z NCCL_LIB_DIR=/usr/local/cuda/lib64/
2025-08-14T22:46:51.4861300Z HUGGING_FACE_HUB_TOKEN=***
2025-08-14T22:46:51.4861601Z ***
2025-08-14T22:46:51.4861807Z GITHUB_REPOSITORY_ID=65600975
2025-08-14T22:46:51.4862085Z GITHUB_ACTIONS=true
2025-08-14T22:46:51.4862336Z NVIDIA_DRIVER_CAPABILITIES=all
2025-08-14T22:46:51.4862661Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log
2025-08-14T22:46:51.4863041Z SHA1=1fc683cf17c8c673044538d10266c00f92987be2
2025-08-14T22:46:51.4863403Z GITHUB_SHA=1fc683cf17c8c673044538d10266c00f92987be2
2025-08-14T22:46:51.4863896Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor.yml@refs/heads/main
2025-08-14T22:46:51.4864356Z UCC_HOME=/usr
2025-08-14T22:46:51.4864597Z TORCH_SERIALIZATION_DEBUG=1
2025-08-14T22:46:51.4864858Z VERBOSE_TEST_LOGS=False
2025-08-14T22:46:51.4865115Z GITHUB_REF=refs/heads/main
2025-08-14T22:46:51.4865369Z SHARD_NUMBER=2
2025-08-14T22:46:51.4865607Z GITHUB_REF_PROTECTED=true
2025-08-14T22:46:51.4865858Z HOME=/var/lib/jenkins
2025-08-14T22:46:51.4866130Z GITHUB_API_URL=https://api.github.com
2025-08-14T22:46:51.4866462Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0
2025-08-14T22:46:51.4866803Z UCX_COMMIT=7bb2722ff2187a0cad557ae4a6afa090569f83fb
2025-08-14T22:46:51.4867142Z USE_SYSTEM_NCCL=1
2025-08-14T22:46:51.4867367Z NUM_TEST_SHARDS=2
2025-08-14T22:46:51.4867583Z UCX_HOME=/usr
2025-08-14T22:46:51.4868122Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_82bab346-3f9d-4337-b939-bd7925118015
2025-08-14T22:46:51.4868942Z JOB_NAME=cuda12.8-py3.10-gcc9-sm86 / test (inductor_torchbench, 2, 2, linux.g5.4xlarge.nvidia.gpu)
2025-08-14T22:46:51.4869780Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_82bab346-3f9d-4337-b939-bd7925118015
2025-08-14T22:46:51.4870555Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json
2025-08-14T22:46:51.4871037Z GITHUB_EVENT_NAME=push
2025-08-14T22:46:51.4871283Z DASHBOARD_TAG=
2025-08-14T22:46:51.4871506Z GITHUB_RUN_ID=16976255153
2025-08-14T22:46:51.4871762Z INSTALLED_OPENBLAS=
2025-08-14T22:46:51.4872351Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_82bab346-3f9d-4337-b939-bd7925118015
2025-08-14T22:46:51.4872993Z GITHUB_ACTOR=pytorchmergebot
2025-08-14T22:46:51.4873259Z PR_NUMBER=
2025-08-14T22:46:51.4873468Z DESIRED_CUDA=12.8.1
2025-08-14T22:46:51.4873694Z GITHUB_RUN_ATTEMPT=1
2025-08-14T22:46:51.4873926Z VALGRIND=ON
2025-08-14T22:46:51.4874150Z ANACONDA_PYTHON_VERSION=3.10
2025-08-14T22:46:51.4874470Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql
2025-08-14T22:46:51.4874811Z TERM=vt100
2025-08-14T22:46:51.4875029Z INSTALLED_VISION=yes
2025-08-14T22:46:51.4875385Z BRANCH=main
2025-08-14T22:46:51.4875601Z SCCACHE_REGION=us-east-1
2025-08-14T22:46:51.4875869Z OPENSSL_ROOT_DIR=/opt/openssl
2025-08-14T22:46:51.4876144Z CUDA_PATH=/usr/local/cuda
2025-08-14T22:46:51.4876729Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux
2025-08-14T22:46:51.4877286Z GITHUB_SERVER_URL=https://github.com
2025-08-14T22:46:51.4877640Z UCC_COMMIT=20eae37090a4ce1b32bcce6144ccad0b49943e0b
2025-08-14T22:46:51.4877970Z REENABLED_ISSUES=
2025-08-14T22:46:51.4878192Z DOCS=
2025-08-14T22:46:51.4878390Z SHLVL=1
2025-08-14T22:46:51.4878577Z MAX_JOBS=14
2025-08-14T22:46:51.4878792Z GITHUB_ACTOR_ID=97764156
2025-08-14T22:46:51.4879125Z GITHUB_WORKFLOW_SHA=1fc683cf17c8c673044538d10266c00f92987be2
2025-08-14T22:46:51.4879529Z GITHUB_REF_NAME=main
2025-08-14T22:46:51.4879907Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla
2025-08-14T22:46:51.4880318Z GITHUB_JOB=test
2025-08-14T22:46:51.4880544Z NO_TEST_TIMEOUT=False
2025-08-14T22:46:51.4880786Z TD_DISTRIBUTED=False
2025-08-14T22:46:51.4881046Z GITHUB_REPOSITORY=pytorch/pytorch
2025-08-14T22:46:51.4881338Z GITHUB_RETENTION_DAYS=90
2025-08-14T22:46:51.4881600Z OPENSSL_DIR=/opt/openssl
2025-08-14T22:46:51.4881865Z GITHUB_ACTION_REPOSITORY=
2025-08-14T22:46:51.4882610Z PATH=/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
2025-08-14T22:46:51.4883368Z GITHUB_BASE_REF=
2025-08-14T22:46:51.4883584Z INSTALLED_ACL=
2025-08-14T22:46:51.4884025Z ARTIFACTS_FILE_SUFFIX=test-inductor_torchbench-2-2-linux.g5.4xlarge.nvidia.gpu_48131873416
2025-08-14T22:46:51.4884519Z CI=true
2025-08-14T22:46:51.4884730Z GITHUB_REPOSITORY_OWNER=pytorch
2025-08-14T22:46:51.4885036Z RUST_LOG=sccache::server=error
2025-08-14T22:46:51.4885297Z JOB_ID=48131873416
2025-08-14T22:46:51.4885511Z GITHUB_HEAD_REF=
2025-08-14T22:46:51.4885731Z GITHUB_ACTION_REF=
2025-08-14T22:46:51.4886014Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2
2025-08-14T22:46:51.4886353Z TEST_SHOWLOCALS=False
2025-08-14T22:46:51.4886599Z GITHUB_WORKFLOW=inductor
2025-08-14T22:46:51.4886867Z DEBIAN_FRONTEND=noninteractive
2025-08-14T22:46:51.4887455Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_82bab346-3f9d-4337-b939-bd7925118015
2025-08-14T22:46:51.4888053Z NO_TD=False
2025-08-14T22:46:51.4888277Z SKIP_SCCACHE_INITIALIZATION=1
2025-08-14T22:46:51.4888571Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/
2025-08-14T22:46:51.4888859Z _=/usr/bin/env
2025-08-14T22:46:51.4889081Z + echo 'Testing pytorch'
2025-08-14T22:46:51.4889330Z Testing pytorch
2025-08-14T22:46:51.4889587Z + export LANG=C.UTF-8
2025-08-14T22:46:51.4889842Z + LANG=C.UTF-8
2025-08-14T22:46:51.4908881Z + PR_NUMBER=
2025-08-14T22:46:51.4909224Z + [[ inductor_torchbench == \d\e\f\a\u\l\t ]]
2025-08-14T22:46:51.4909639Z + [[ inductor_torchbench == \d\i\s\t\r\i\b\u\t\e\d ]]
2025-08-14T22:46:51.4910045Z + [[ inductor_torchbench == \s\l\o\w ]]
2025-08-14T22:46:51.4910457Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 == *slow-gradcheck* ]]
2025-08-14T22:46:51.4910979Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 == *cuda* ]]
2025-08-14T22:46:51.4911362Z + export PYTORCH_TESTING_DEVICE_ONLY_FOR=cuda
2025-08-14T22:46:51.4911712Z + PYTORCH_TESTING_DEVICE_ONLY_FOR=cuda
2025-08-14T22:46:51.4912034Z + [[ inductor_torchbench == *crossref* ]]
2025-08-14T22:46:51.4912391Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 == *rocm* ]]
2025-08-14T22:46:51.4912793Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 == *xpu* ]]
2025-08-14T22:46:51.4913209Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 != *-bazel-* ]]
2025-08-14T22:46:51.4913576Z + pip_install ninja==1.10.2
2025-08-14T22:46:51.4913931Z + pip_install_pkg='python3 -m pip install --progress-bar off'
2025-08-14T22:46:51.4914385Z + python3 -m pip install --progress-bar off ninja==1.10.2
2025-08-14T22:46:51.9749661Z Collecting ninja==1.10.2
2025-08-14T22:46:51.9900432Z   Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl.metadata (5.0 kB)
2025-08-14T22:46:52.0005942Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl (108 kB)
2025-08-14T22:46:52.9108031Z Installing collected packages: ninja
2025-08-14T22:46:52.9108417Z   Attempting uninstall: ninja
2025-08-14T22:46:52.9118795Z     Found existing installation: ninja 1.11.1.3
2025-08-14T22:46:52.9143756Z     Uninstalling ninja-1.11.1.3:
2025-08-14T22:46:52.9233900Z       Successfully uninstalled ninja-1.11.1.3
2025-08-14T22:46:52.9968922Z Successfully installed ninja-1.10.2
2025-08-14T22:46:53.0903394Z + export PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
2025-08-14T22:46:53.0904909Z + PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
2025-08-14T22:46:53.0905888Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 == *aarch64* ]]
2025-08-14T22:46:53.0906314Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 == *asan* ]]
2025-08-14T22:46:53.0906731Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 == *-debug* ]]
2025-08-14T22:46:53.0907153Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 != *-bazel-* ]]
2025-08-14T22:46:53.0907734Z + echo 'We are not in debug mode: linux-jammy-cuda12.8-py3.10-gcc9-sm86. Expect the assertion to pass'
2025-08-14T22:46:53.0908428Z We are not in debug mode: linux-jammy-cuda12.8-py3.10-gcc9-sm86. Expect the assertion to pass
2025-08-14T22:46:53.0910603Z + cd test
2025-08-14T22:46:53.0910942Z + python -c 'import torch; torch._C._crash_if_debug_asserts_fail(424242)'
2025-08-14T22:46:56.0398680Z + [[ inductor_torchbench == \n\o\g\p\u\_\N\O\_\A\V\X\2 ]]
2025-08-14T22:46:56.0399178Z + [[ inductor_torchbench == \n\o\g\p\u\_\A\V\X\5\1\2 ]]
2025-08-14T22:46:56.0399651Z + [[ inductor_torchbench == \l\e\g\a\c\y\_\n\v\i\d\i\a\_\d\r\i\v\e\r ]]
2025-08-14T22:46:56.0402215Z + DYNAMO_BENCHMARK_FLAGS=()
2025-08-14T22:46:56.0402570Z + [[ inductor_torchbench == *pr_time_benchmarks* ]]
2025-08-14T22:46:56.0403038Z + [[ inductor_torchbench == *dynamo_eager* ]]
2025-08-14T22:46:56.0403370Z + [[ inductor_torchbench == *aot_eager* ]]
2025-08-14T22:46:56.0403764Z + [[ inductor_torchbench == *aot_inductor* ]]
2025-08-14T22:46:56.0404143Z + [[ inductor_torchbench == *max_autotune_inductor* ]]
2025-08-14T22:46:56.0404496Z + [[ inductor_torchbench == *inductor* ]]
2025-08-14T22:46:56.0404883Z + [[ inductor_torchbench != *perf* ]]
2025-08-14T22:46:56.0405209Z + DYNAMO_BENCHMARK_FLAGS+=(--inductor)
2025-08-14T22:46:56.0405535Z + [[ inductor_torchbench == *dynamic* ]]
2025-08-14T22:46:56.0405842Z + [[ inductor_torchbench == *cpu* ]]
2025-08-14T22:46:56.0406151Z + DYNAMO_BENCHMARK_FLAGS+=(--device cuda)
2025-08-14T22:46:56.0434133Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 == *libtorch* ]]
2025-08-14T22:46:56.0434732Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 == *-bazel-* ]]
2025-08-14T22:46:56.0438793Z + cd test
2025-08-14T22:46:56.0439220Z + python -c 'import torch; print(torch.__config__.show())'
2025-08-14T22:46:57.7411949Z PyTorch built with:
2025-08-14T22:46:57.7412262Z   - GCC 9.5
2025-08-14T22:46:57.7412484Z   - C++ Version: 201703
2025-08-14T22:46:57.7413013Z   - Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications
2025-08-14T22:46:57.7413693Z   - Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d)
2025-08-14T22:46:57.7414119Z   - OpenMP 201511 (a.k.a. OpenMP 4.5)
2025-08-14T22:46:57.7414450Z   - LAPACK is enabled (usually provided by MKL)
2025-08-14T22:46:57.7414764Z   - NNPACK is enabled
2025-08-14T22:46:57.7415023Z   - CPU capability usage: AVX2
2025-08-14T22:46:57.7415294Z   - CUDA Runtime 12.8
2025-08-14T22:46:57.7415625Z   - NVCC architecture flags: -gencode;arch=compute_86,code=sm_86
2025-08-14T22:46:57.7415996Z   - CuDNN 90.8
2025-08-14T22:46:57.7420421Z   - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, COMMIT_SHA=1fc683cf17c8c673044538d10266c00f92987be2, CUDA_VERSION=12.8, CUDNN_VERSION=9.8.0, CXX_COMPILER=/opt/cache/bin/c++, CXX_FLAGS= -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -DNDEBUG -DUSE_KINETO -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=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, FORCE_FALLBACK_CUDA_MPI=1, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, TORCH_VERSION=2.9.0, USE_CUDA=ON, USE_CUDNN=ON, USE_CUSPARSELT=ON, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_GLOO=ON, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=ON, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, USE_ROCM_KERNEL_ASSERT=OFF, USE_XCCL=OFF, USE_XPU=OFF, 
2025-08-14T22:46:57.7425067Z 
2025-08-14T22:46:58.1901246Z + cd test
2025-08-14T22:46:58.1901662Z + python -c 'import torch; print(torch.__config__.parallel_info())'
2025-08-14T22:46:59.5518516Z ATen/Parallel:
2025-08-14T22:46:59.5519086Z 	at::get_num_threads() : 8
2025-08-14T22:46:59.5519657Z 	at::get_num_interop_threads() : 16
2025-08-14T22:46:59.5520261Z OpenMP 201511 (a.k.a. OpenMP 4.5)
2025-08-14T22:46:59.5520842Z 	omp_get_max_threads() : 8
2025-08-14T22:46:59.5521906Z Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications
2025-08-14T22:46:59.5522629Z 	mkl_get_max_threads() : 8
2025-08-14T22:46:59.5523013Z Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d)
2025-08-14T22:46:59.5523453Z std::thread::hardware_concurrency() : 16
2025-08-14T22:46:59.5524002Z Environment variables:
2025-08-14T22:46:59.5524280Z 	OMP_NUM_THREADS : [not set]
2025-08-14T22:46:59.5524555Z 	MKL_NUM_THREADS : [not set]
2025-08-14T22:46:59.5524827Z ATen parallel backend: OpenMP
2025-08-14T22:46:59.5525017Z 
2025-08-14T22:46:59.8948830Z + [[ inductor_torchbench == *numpy_2* ]]
2025-08-14T22:46:59.8949286Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 == *aarch64* ]]
2025-08-14T22:46:59.8949730Z + [[ inductor_torchbench == *backward* ]]
2025-08-14T22:46:59.8950047Z + [[ inductor_torchbench == *xla* ]]
2025-08-14T22:46:59.8950367Z + [[ inductor_torchbench == *executorch* ]]
2025-08-14T22:46:59.8950713Z + [[ inductor_torchbench == \j\i\t\_\l\e\g\a\c\y ]]
2025-08-14T22:46:59.8951115Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 == *libtorch* ]]
2025-08-14T22:46:59.8951498Z + [[ inductor_torchbench == distributed ]]
2025-08-14T22:46:59.8951849Z + [[ inductor_torchbench == *operator_benchmark* ]]
2025-08-14T22:46:59.8952234Z + [[ inductor_torchbench == *inductor_distributed* ]]
2025-08-14T22:46:59.8952601Z + [[ inductor_torchbench == *inductor-halide* ]]
2025-08-14T22:46:59.8952983Z + [[ inductor_torchbench == *inductor-triton-cpu* ]]
2025-08-14T22:46:59.8953387Z + [[ inductor_torchbench == *inductor-micro-benchmark* ]]
2025-08-14T22:46:59.8953767Z + [[ inductor_torchbench == *huggingface* ]]
2025-08-14T22:46:59.8954092Z + [[ inductor_torchbench == *timm* ]]
2025-08-14T22:46:59.8954404Z + [[ inductor_torchbench == cachebench ]]
2025-08-14T22:46:59.8954747Z + [[ inductor_torchbench == verify_cachebench ]]
2025-08-14T22:46:59.8955083Z + [[ inductor_torchbench == *torchbench* ]]
2025-08-14T22:46:59.8955387Z + install_torchaudio
2025-08-14T22:46:59.8955619Z + local commit
2025-08-14T22:46:59.8955850Z ++ get_pinned_commit audio
2025-08-14T22:46:59.8956127Z ++ cat .github/ci_commit_pins/audio.txt
2025-08-14T22:46:59.8988386Z + commit=bdb88e1d66f272cad72156c90ac8428ca61a601c
2025-08-14T22:46:59.8989187Z + pip_build_and_install git+https://github.com/pytorch/audio.git@bdb88e1d66f272cad72156c90ac8428ca61a601c dist/audio
2025-08-14T22:46:59.8990663Z + local build_target=git+https://github.com/pytorch/audio.git@bdb88e1d66f272cad72156c90ac8428ca61a601c
2025-08-14T22:46:59.8991348Z + local wheel_dir=dist/audio
2025-08-14T22:46:59.8991790Z + local found_whl=0
2025-08-14T22:46:59.8992045Z + for file in "${wheel_dir}"/*.whl
2025-08-14T22:46:59.8992479Z + [[ -f dist/audio/torchaudio-2.8.0a0+bdb88e1-cp310-cp310-linux_x86_64.whl ]]
2025-08-14T22:46:59.8992912Z + found_whl=1
2025-08-14T22:46:59.8993117Z + break
2025-08-14T22:46:59.8993312Z + '[' 1 == 0 ']'
2025-08-14T22:46:59.8993547Z + for file in "${wheel_dir}"/*.whl
2025-08-14T22:46:59.8994005Z + pip_install_whl dist/audio/torchaudio-2.8.0a0+bdb88e1-cp310-cp310-linux_x86_64.whl
2025-08-14T22:46:59.8994625Z + args=('dist/audio/torchaudio-2.8.0a0+bdb88e1-cp310-cp310-linux_x86_64.whl')
2025-08-14T22:46:59.8995055Z + local args
2025-08-14T22:46:59.8995437Z + [[ dist/audio/torchaudio-2.8.0a0+bdb88e1-cp310-cp310-linux_x86_64.whl == *\ * ]]
2025-08-14T22:46:59.8995897Z + for path in "${args[@]}"
2025-08-14T22:46:59.8996400Z + echo 'Installing dist/audio/torchaudio-2.8.0a0+bdb88e1-cp310-cp310-linux_x86_64.whl'
2025-08-14T22:46:59.8997131Z Installing dist/audio/torchaudio-2.8.0a0+bdb88e1-cp310-cp310-linux_x86_64.whl
2025-08-14T22:46:59.8997969Z + python3 -mpip install --no-index --no-deps dist/audio/torchaudio-2.8.0a0+bdb88e1-cp310-cp310-linux_x86_64.whl
2025-08-14T22:47:00.2744910Z Processing ./dist/audio/torchaudio-2.8.0a0+bdb88e1-cp310-cp310-linux_x86_64.whl
2025-08-14T22:47:00.2830333Z Installing collected packages: torchaudio
2025-08-14T22:47:00.5770244Z Successfully installed torchaudio-2.8.0a0+bdb88e1
2025-08-14T22:47:00.6158042Z + install_torchvision
2025-08-14T22:47:00.6158391Z + local orig_preload
2025-08-14T22:47:00.6158715Z + local commit
2025-08-14T22:47:00.6163038Z ++ get_pinned_commit vision
2025-08-14T22:47:00.6163464Z ++ cat .github/ci_commit_pins/vision.txt
2025-08-14T22:47:00.6182281Z + commit=966da7e46f65d6d49df3e31214470a4fe5cc8e66
2025-08-14T22:47:00.6182793Z + orig_preload=
2025-08-14T22:47:00.6183133Z + '[' -n '' ']'
2025-08-14T22:47:00.6183514Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 == *cuda* ]]
2025-08-14T22:47:00.6183987Z + export FORCE_CUDA=1
2025-08-14T22:47:00.6184311Z + FORCE_CUDA=1
2025-08-14T22:47:00.6184615Z + export WITH_CUDA=1
2025-08-14T22:47:00.6184930Z + WITH_CUDA=1
2025-08-14T22:47:00.6185651Z + pip_build_and_install git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 dist/vision
2025-08-14T22:47:00.6186786Z + local build_target=git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66
2025-08-14T22:47:00.6187464Z + local wheel_dir=dist/vision
2025-08-14T22:47:00.6187755Z + local found_whl=0
2025-08-14T22:47:00.6188012Z + for file in "${wheel_dir}"/*.whl
2025-08-14T22:47:00.6188453Z + [[ -f dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl ]]
2025-08-14T22:47:00.6188890Z + found_whl=1
2025-08-14T22:47:00.6189105Z + break
2025-08-14T22:47:00.6189291Z + '[' 1 == 0 ']'
2025-08-14T22:47:00.6189535Z + for file in "${wheel_dir}"/*.whl
2025-08-14T22:47:00.6190015Z + pip_install_whl dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl
2025-08-14T22:47:00.6190657Z + args=('dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl')
2025-08-14T22:47:00.6191088Z + local args
2025-08-14T22:47:00.6191472Z + [[ dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl == *\ * ]]
2025-08-14T22:47:00.6191940Z + for path in "${args[@]}"
2025-08-14T22:47:00.6192385Z + echo 'Installing dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl'
2025-08-14T22:47:00.6193043Z Installing dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl
2025-08-14T22:47:00.6193788Z + python3 -mpip install --no-index --no-deps dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl
2025-08-14T22:47:00.9963343Z Processing ./dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl
2025-08-14T22:47:01.0058231Z Installing collected packages: torchvision
2025-08-14T22:47:01.4898632Z Successfully installed torchvision-0.22.0a0+966da7e
2025-08-14T22:47:01.5303078Z + '[' -n '' ']'
2025-08-14T22:47:01.5303402Z + id=1
2025-08-14T22:47:01.5304318Z + pip_install opencv-python==4.8.0.74
2025-08-14T22:47:01.5304762Z + pip_install_pkg='python3 -m pip install --progress-bar off'
2025-08-14T22:47:01.5305291Z + python3 -m pip install --progress-bar off opencv-python==4.8.0.74
2025-08-14T22:47:02.0613578Z Collecting opencv-python==4.8.0.74
2025-08-14T22:47:02.0787820Z   Downloading opencv_python-4.8.0.74-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (19 kB)
2025-08-14T22:47:02.0884718Z Requirement already satisfied: numpy>=1.21.2 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from opencv-python==4.8.0.74) (1.22.4)
2025-08-14T22:47:02.0978717Z Downloading opencv_python-4.8.0.74-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (61.7 MB)
2025-08-14T22:47:03.5985505Z Installing collected packages: opencv-python
2025-08-14T22:47:03.5985912Z   Attempting uninstall: opencv-python
2025-08-14T22:47:03.5998700Z     Found existing installation: opencv-python 4.11.0.86
2025-08-14T22:47:03.6109603Z     Uninstalling opencv-python-4.11.0.86:
2025-08-14T22:47:03.7792846Z       Successfully uninstalled opencv-python-4.11.0.86
2025-08-14T22:47:04.7361675Z Successfully installed opencv-python-4.8.0.74
2025-08-14T22:47:04.8637975Z + [[ inductor_torchbench == *inductor_torchbench_smoketest_perf* ]]
2025-08-14T22:47:04.8638715Z + [[ inductor_torchbench == *inductor_torchbench_cpu_smoketest_perf* ]]
2025-08-14T22:47:04.8639185Z + [[ inductor_torchbench == *torchbench_gcp_smoketest* ]]
2025-08-14T22:47:04.8639540Z + [[ inductor_torchbench != *cpu* ]]
2025-08-14T22:47:04.8639850Z + install_torchrec_and_fbgemm
2025-08-14T22:47:04.8640125Z + local torchrec_commit
2025-08-14T22:47:04.8651800Z ++ get_pinned_commit torchrec
2025-08-14T22:47:04.8652262Z ++ cat .github/ci_commit_pins/torchrec.txt
2025-08-14T22:47:04.8664613Z + torchrec_commit=6cd9fd362514d14ebb9ed51314c62ac1e1e2bbf2
2025-08-14T22:47:04.8665156Z + local fbgemm_commit
2025-08-14T22:47:04.8669052Z ++ get_pinned_commit fbgemm
2025-08-14T22:47:04.8669450Z ++ cat .github/ci_commit_pins/fbgemm.txt
2025-08-14T22:47:04.8694860Z + fbgemm_commit=de731af65b4f04696e85c729e3282450b51b95fd
2025-08-14T22:47:04.8695439Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 == *rocm* ]]
2025-08-14T22:47:04.8695929Z + pip_uninstall torchrec-nightly
2025-08-14T22:47:04.8696262Z + pip3 uninstall -y torchrec-nightly
2025-08-14T22:47:05.2547520Z WARNING: Skipping torchrec-nightly as it is not installed.
2025-08-14T22:47:05.2890853Z + pip_uninstall fbgemm-gpu-nightly
2025-08-14T22:47:05.2891689Z + pip3 uninstall -y fbgemm-gpu-nightly
2025-08-14T22:47:05.6766683Z WARNING: Skipping fbgemm-gpu-nightly as it is not installed.
2025-08-14T22:47:05.7106749Z + pip_install setuptools-git-versioning scikit-build pyre-extensions
2025-08-14T22:47:05.7107329Z + pip_install_pkg='python3 -m pip install --progress-bar off'
2025-08-14T22:47:05.7107971Z + python3 -m pip install --progress-bar off setuptools-git-versioning scikit-build pyre-extensions
2025-08-14T22:47:06.0841465Z Requirement already satisfied: setuptools-git-versioning in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (2.1.0)
2025-08-14T22:47:06.0842936Z Requirement already satisfied: scikit-build in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (0.18.1)
2025-08-14T22:47:06.0845696Z Requirement already satisfied: pyre-extensions in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (0.0.32)
2025-08-14T22:47:06.0858862Z Requirement already satisfied: packaging in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from setuptools-git-versioning) (25.0)
2025-08-14T22:47:06.0862724Z Requirement already satisfied: setuptools in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from setuptools-git-versioning) (80.9.0)
2025-08-14T22:47:06.0870324Z Requirement already satisfied: tomli>=2.0.1 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from setuptools-git-versioning) (2.2.1)
2025-08-14T22:47:06.0919768Z Requirement already satisfied: distro in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from scikit-build) (1.9.0)
2025-08-14T22:47:06.0930922Z Requirement already satisfied: wheel>=0.32.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from scikit-build) (0.45.1)
2025-08-14T22:47:06.0938899Z Requirement already satisfied: typing-inspect in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from pyre-extensions) (0.9.0)
2025-08-14T22:47:06.0942277Z Requirement already satisfied: typing-extensions in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from pyre-extensions) (4.14.1)
2025-08-14T22:47:06.1027874Z Requirement already satisfied: mypy-extensions>=0.3.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from typing-inspect->pyre-extensions) (1.1.0)
2025-08-14T22:47:07.1565286Z + [[ linux-jammy-cuda12.8-py3.10-gcc9-sm86 == *rocm* ]]
2025-08-14T22:47:07.1566229Z + pip_build_and_install git+https://github.com/pytorch/torchrec.git@6cd9fd362514d14ebb9ed51314c62ac1e1e2bbf2 dist/torchrec
2025-08-14T22:47:07.1567463Z + local build_target=git+https://github.com/pytorch/torchrec.git@6cd9fd362514d14ebb9ed51314c62ac1e1e2bbf2
2025-08-14T22:47:07.1568208Z + local wheel_dir=dist/torchrec
2025-08-14T22:47:07.1568481Z + local found_whl=0
2025-08-14T22:47:07.1568752Z + for file in "${wheel_dir}"/*.whl
2025-08-14T22:47:07.1569105Z + [[ -f dist/torchrec/torchrec-0.3.2-py3-none-any.whl ]]
2025-08-14T22:47:07.1569439Z + found_whl=1
2025-08-14T22:47:07.1569655Z + break
2025-08-14T22:47:07.1569852Z + '[' 1 == 0 ']'
2025-08-14T22:47:07.1570077Z + for file in "${wheel_dir}"/*.whl
2025-08-14T22:47:07.1570457Z + pip_install_whl dist/torchrec/torchrec-0.3.2-py3-none-any.whl
2025-08-14T22:47:07.1570915Z + args=('dist/torchrec/torchrec-0.3.2-py3-none-any.whl')
2025-08-14T22:47:07.1571383Z + local args
2025-08-14T22:47:07.1571676Z + [[ dist/torchrec/torchrec-0.3.2-py3-none-any.whl == *\ * ]]
2025-08-14T22:47:07.1572053Z + for path in "${args[@]}"
2025-08-14T22:47:07.1572418Z + echo 'Installing dist/torchrec/torchrec-0.3.2-py3-none-any.whl'
2025-08-14T22:47:07.1572877Z Installing dist/torchrec/torchrec-0.3.2-py3-none-any.whl
2025-08-14T22:47:07.1573426Z + python3 -mpip install --no-index --no-deps dist/torchrec/torchrec-0.3.2-py3-none-any.whl
2025-08-14T22:47:07.5323131Z Processing ./dist/torchrec/torchrec-0.3.2-py3-none-any.whl
2025-08-14T22:47:07.5387752Z Installing collected packages: torchrec
2025-08-14T22:47:07.8342978Z Successfully installed torchrec-0.3.2
2025-08-14T22:47:07.8727094Z + pip_build_and_install git+https://github.com/pytorch/FBGEMM.git@de731af65b4f04696e85c729e3282450b51b95fd#subdirectory=fbgemm_gpu dist/fbgemm_gpu
2025-08-14T22:47:07.8728240Z + local build_target=git+https://github.com/pytorch/FBGEMM.git@de731af65b4f04696e85c729e3282450b51b95fd#subdirectory=fbgemm_gpu
2025-08-14T22:47:07.8729011Z + local wheel_dir=dist/fbgemm_gpu
2025-08-14T22:47:07.8729360Z + local found_whl=0
2025-08-14T22:47:07.8729610Z + for file in "${wheel_dir}"/*.whl
2025-08-14T22:47:07.8730070Z + [[ -f dist/fbgemm_gpu/fbgemm_gpu-0.4.1.post421-cp310-cp310-linux_x86_64.whl ]]
2025-08-14T22:47:07.8730501Z + found_whl=1
2025-08-14T22:47:07.8730720Z + break
2025-08-14T22:47:07.8730921Z + '[' 1 == 0 ']'
2025-08-14T22:47:07.8731161Z + for file in "${wheel_dir}"/*.whl
2025-08-14T22:47:07.8731691Z + pip_install_whl dist/fbgemm_gpu/fbgemm_gpu-0.4.1.post421-cp310-cp310-linux_x86_64.whl
2025-08-14T22:47:07.8732319Z + args=('dist/fbgemm_gpu/fbgemm_gpu-0.4.1.post421-cp310-cp310-linux_x86_64.whl')
2025-08-14T22:47:07.8732740Z + local args
2025-08-14T22:47:07.8733111Z + [[ dist/fbgemm_gpu/fbgemm_gpu-0.4.1.post421-cp310-cp310-linux_x86_64.whl == *\ * ]]
2025-08-14T22:47:07.8733571Z + for path in "${args[@]}"
2025-08-14T22:47:07.8734007Z + echo 'Installing dist/fbgemm_gpu/fbgemm_gpu-0.4.1.post421-cp310-cp310-linux_x86_64.whl'
2025-08-14T22:47:07.8734652Z Installing dist/fbgemm_gpu/fbgemm_gpu-0.4.1.post421-cp310-cp310-linux_x86_64.whl
2025-08-14T22:47:07.8735374Z + python3 -mpip install --no-index --no-deps dist/fbgemm_gpu/fbgemm_gpu-0.4.1.post421-cp310-cp310-linux_x86_64.whl
2025-08-14T22:47:08.2502080Z Processing ./dist/fbgemm_gpu/fbgemm_gpu-0.4.1.post421-cp310-cp310-linux_x86_64.whl
2025-08-14T22:47:08.3417280Z Installing collected packages: fbgemm-gpu
2025-08-14T22:47:10.1930218Z Successfully installed fbgemm-gpu-0.4.1.post421
2025-08-14T22:47:10.2319200Z + PYTHONPATH=/torchbench
2025-08-14T22:47:10.2319542Z + test_dynamo_benchmark torchbench 1
2025-08-14T22:47:10.2325623Z ++ pwd
2025-08-14T22:47:10.2329189Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports
2025-08-14T22:47:10.2329757Z + local suite=torchbench
2025-08-14T22:47:10.2330093Z + shift
2025-08-14T22:47:10.2330357Z + local shard_id=1
2025-08-14T22:47:10.2330671Z + shift
2025-08-14T22:47:10.2330963Z + [[ inductor_torchbench == *perf_compare* ]]
2025-08-14T22:47:10.2331402Z + [[ inductor_torchbench == *perf* ]]
2025-08-14T22:47:10.2331709Z + [[ inductor_torchbench == *cpu* ]]
2025-08-14T22:47:10.2332031Z + [[ inductor_torchbench == *aot_inductor* ]]
2025-08-14T22:47:10.2332429Z + [[ inductor_torchbench == *max_autotune_inductor* ]]
2025-08-14T22:47:10.2332911Z + test_single_dynamo_benchmark inference torchbench 1 --inference --bfloat16
2025-08-14T22:47:10.2336138Z ++ pwd
2025-08-14T22:47:10.2339561Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports
2025-08-14T22:47:10.2340103Z + mkdir -p /var/lib/jenkins/workspace/test/test-reports
2025-08-14T22:47:10.2378079Z + local name=inference
2025-08-14T22:47:10.2378388Z + shift
2025-08-14T22:47:10.2378676Z + local suite=torchbench
2025-08-14T22:47:10.2378996Z + shift
2025-08-14T22:47:10.2379266Z + local shard_id=1
2025-08-14T22:47:10.2379524Z + shift
2025-08-14T22:47:10.2379722Z + partition_flags=()
2025-08-14T22:47:10.2379997Z + local partition_flags
2025-08-14T22:47:10.2380334Z + [[ -n 2 ]]
2025-08-14T22:47:10.2380626Z + [[ -n 1 ]]
2025-08-14T22:47:10.2381152Z + partition_flags=(--total-partitions "$NUM_TEST_SHARDS" --partition-id "$shard_id")
2025-08-14T22:47:10.2381667Z + [[ inductor_torchbench == *perf_compare* ]]
2025-08-14T22:47:10.2381998Z + [[ inductor_torchbench == *perf* ]]
2025-08-14T22:47:10.2382313Z + [[ inductor_torchbench == *_avx2* ]]
2025-08-14T22:47:10.2382638Z + [[ inductor_torchbench == *_avx512* ]]
2025-08-14T22:47:10.2383815Z + python benchmarks/dynamo/torchbench.py --ci --accuracy --timing --explain --print-compilation-time --inductor --device cuda --inference --bfloat16 --total-partitions 2 --partition-id 1 --output /var/lib/jenkins/workspace/test/test-reports/inference_torchbench.csv
2025-08-14T22:47:16.8607047Z 
2025-08-14T22:47:17.4297715Z loading model: 0it [00:00, ?it/s]
2025-08-14T22:47:17.4298094Z loading model: 0it [00:00, ?it/s]
2025-08-14T22:47:17.4298409Z cuda eval  llama_v2_7b_16h                    
2025-08-14T22:47:17.4304087Z Traceback (most recent call last):
2025-08-14T22:47:17.4304569Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 4124, in run
2025-08-14T22:47:17.4305051Z     ) = runner.load_model(
2025-08-14T22:47:17.4305574Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 332, in load_model
2025-08-14T22:47:17.4306091Z     benchmark = benchmark_cls(
2025-08-14T22:47:17.4306502Z   File "/torchbench/torchbenchmark/util/model.py", line 43, in __call__
2025-08-14T22:47:17.4306949Z     obj = type.__call__(cls, *args, **kwargs)
2025-08-14T22:47:17.4307443Z   File "/torchbench/torchbenchmark/models/llama_v2_7b_16h/__init__.py", line 16, in __init__
2025-08-14T22:47:17.4307926Z     super().__init__(
2025-08-14T22:47:17.4308418Z   File "/torchbench/torchbenchmark/util/framework/huggingface/model_factory.py", line 32, in __init__
2025-08-14T22:47:17.4308957Z     super().__init__(
2025-08-14T22:47:17.4309322Z   File "/torchbench/torchbenchmark/util/model.py", line 110, in __init__
2025-08-14T22:47:17.4309748Z     self._skip_by_device_name()
2025-08-14T22:47:17.4310195Z   File "/torchbench/torchbenchmark/util/model.py", line 202, in _skip_by_device_name
2025-08-14T22:47:17.4310671Z     raise NotImplementedError(
2025-08-14T22:47:17.4311495Z NotImplementedError: The current device NVIDIA A10G is skipped by its `llama_v2_7b_16h/metadata.yaml`.
2025-08-14T22:47:17.4311936Z 
2025-08-14T22:47:17.4312195Z model_fail_to_load
2025-08-14T22:47:21.7080988Z 
2025-08-14T22:47:22.2405132Z loading model: 0it [00:00, ?it/s]
2025-08-14T22:47:22.2405510Z loading model: 0it [00:00, ?it/s]
2025-08-14T22:47:22.2405814Z cuda eval  llava                              
2025-08-14T22:47:22.2411767Z Traceback (most recent call last):
2025-08-14T22:47:22.2412406Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 4124, in run
2025-08-14T22:47:22.2413030Z     ) = runner.load_model(
2025-08-14T22:47:22.2413507Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 332, in load_model
2025-08-14T22:47:22.2414043Z     benchmark = benchmark_cls(
2025-08-14T22:47:22.2414445Z   File "/torchbench/torchbenchmark/util/model.py", line 43, in __call__
2025-08-14T22:47:22.2414884Z     obj = type.__call__(cls, *args, **kwargs)
2025-08-14T22:47:22.2415375Z   File "/torchbench/torchbenchmark/models/llava/__init__.py", line 12, in __init__
2025-08-14T22:47:22.2415824Z     super().__init__(
2025-08-14T22:47:22.2416329Z   File "/torchbench/torchbenchmark/util/framework/huggingface/model_factory.py", line 32, in __init__
2025-08-14T22:47:22.2416861Z     super().__init__(
2025-08-14T22:47:22.2417227Z   File "/torchbench/torchbenchmark/util/model.py", line 110, in __init__
2025-08-14T22:47:22.2417652Z     self._skip_by_device_name()
2025-08-14T22:47:22.2418100Z   File "/torchbench/torchbenchmark/util/model.py", line 202, in _skip_by_device_name
2025-08-14T22:47:22.2418576Z     raise NotImplementedError(
2025-08-14T22:47:22.2419066Z NotImplementedError: The current device NVIDIA A10G is skipped by its `llava/metadata.yaml`.
2025-08-14T22:47:22.2419468Z 
2025-08-14T22:47:22.2419563Z model_fail_to_load
2025-08-14T22:47:26.3452463Z 
2025-08-14T22:47:28.8548971Z loading model: 0it [00:00, ?it/s]
2025-08-14T22:47:28.8549358Z loading model: 0it [00:02, ?it/s]
2025-08-14T22:47:28.8556570Z cuda eval  maml                               
2025-08-14T22:47:28.8823835Z Compilation time (from dynamo_timed): 0
2025-08-14T22:47:28.8824317Z pass_due_to_skip
2025-08-14T22:47:28.8831557Z TIMING: total_wall_time:0
2025-08-14T22:47:28.8831917Z STATS: call_* op count: 0
2025-08-14T22:47:28.8832383Z Dynamo produced 0 graphs covering 0 ops with 0 graph breaks (0 unique)
2025-08-14T22:47:34.3805318Z 
2025-08-14T22:47:35.0474126Z loading model: 0it [00:00, ?it/s]
2025-08-14T22:47:35.0474473Z loading model: 0it [00:00, ?it/s]
2025-08-14T22:47:35.0480628Z cuda eval  maml_omniglot                      
2025-08-14T22:47:40.8347858Z Compilation time (from dynamo_timed): 4.522077975
2025-08-14T22:47:40.8348227Z pass
2025-08-14T22:47:40.8349629Z TIMING: _recursive_pre_grad_passes:0.00402 pad_mm_benchmark:0.07063 _recursive_joint_graph_passes:0.38683 _recursive_post_grad_passes:0.03175 async_compile.precompile:0.93235 async_compile.wait:0.20973 code_gen:1.92835 inductor_compile:2.16735 backend_compile:4.13161 gc:0.00063 entire_frame_compile:4.52208 cudagraphify.get_container:0.00255 CUDAGraphNode.record:0.00182 total_wall_time:4.52208
2025-08-14T22:47:40.8351536Z STATS: call_* op count: 14 | FakeTensorMode.__torch_dispatch__:1369 | FakeTensor.__torch_dispatch__:513 | ProxyTorchDispatchMode.__torch_dispatch__:331
2025-08-14T22:47:40.8352320Z Dynamo produced 1 graphs covering 14 ops with 0 graph breaks (0 unique)
2025-08-14T22:47:46.1108432Z 
2025-08-14T22:47:46.4181083Z loading model: 0it [00:00, ?it/s]
2025-08-14T22:47:46.4181549Z loading model: 0it [00:00, ?it/s]
2025-08-14T22:47:46.4181998Z cuda eval  microbench_unbacked_tolist_sum     
2025-08-14T22:47:52.0773772Z W0814 22:47:52.076000 569 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] Graph break from `Tensor.item()`, consider setting:
2025-08-14T22:47:52.0774785Z W0814 22:47:52.076000 569 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0]     torch._dynamo.config.capture_scalar_outputs = True
2025-08-14T22:47:52.0775929Z W0814 22:47:52.076000 569 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] or:
2025-08-14T22:47:52.0776855Z W0814 22:47:52.076000 569 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0]     env TORCHDYNAMO_CAPTURE_SCALAR_OUTPUTS=1
2025-08-14T22:47:52.0777771Z W0814 22:47:52.076000 569 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] to include these operations in the captured graph.
2025-08-14T22:47:52.0778527Z W0814 22:47:52.076000 569 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] 
2025-08-14T22:47:52.0779239Z W0814 22:47:52.076000 569 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] Graph break: from user code at:
2025-08-14T22:47:52.0780300Z W0814 22:47:52.076000 569 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0]   File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:47:52.0781331Z W0814 22:47:52.076000 569 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0]     return mod(*inputs)
2025-08-14T22:47:52.0782407Z W0814 22:47:52.076000 569 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0]   File "/torchbench/torchbenchmark/models/microbench_unbacked_tolist_sum/__init__.py", line 18, in forward
2025-08-14T22:47:52.0783470Z W0814 22:47:52.076000 569 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0]     sum += tv[i].item()
2025-08-14T22:47:52.0784137Z W0814 22:47:52.076000 569 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] 
2025-08-14T22:47:52.0784721Z W0814 22:47:52.076000 569 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] 
2025-08-14T22:47:55.4582869Z Compilation time (from dynamo_timed): 7.814589146
2025-08-14T22:47:55.4583351Z pass
2025-08-14T22:47:55.4583698Z TIMING: gc:0.00217 entire_frame_compile:7.81459 total_wall_time:7.81459
2025-08-14T22:47:55.4584377Z STATS: call_* op count: 0 | FakeTensor.__torch_dispatch__:3004 | FakeTensorMode.__torch_dispatch__:11008
2025-08-14T22:47:55.4585058Z Dynamo produced 0 graphs covering 0 ops with 1 graph breaks (1 unique)
2025-08-14T22:48:00.4586203Z 
2025-08-14T22:48:00.6999248Z loading model: 0it [00:00, ?it/s]Downloading: "https://download.pytorch.org/models/mnasnet1.0_top1_73.512-f206786ef8.pth" to /var/lib/jenkins/.cache/torch/hub/checkpoints/mnasnet1.0_top1_73.512-f206786ef8.pth
2025-08-14T22:48:00.7140247Z 
2025-08-14T22:48:00.7140283Z 
2025-08-14T22:48:00.7562215Z   0% 0.00/16.9M [00:00<?, ?B/s]
2025-08-14T22:48:00.7562524Z 100% 16.9M/16.9M [00:00<00:00, 424MB/s]
2025-08-14T22:48:01.5146067Z 
2025-08-14T22:48:01.5146313Z loading model: 0it [00:01, ?it/s]
2025-08-14T22:48:01.5213736Z cuda eval  mnasnet1_0                         
2025-08-14T22:48:17.7568501Z Compilation time (from dynamo_timed): 11.814831152
2025-08-14T22:48:17.7568874Z pass
2025-08-14T22:48:17.7573236Z TIMING: _recursive_pre_grad_passes:0.00815 pad_mm_benchmark:0.06471 _recursive_joint_graph_passes:0.28074 _recursive_post_grad_passes:0.20017 async_compile.wait:0.0254 code_gen:1.58099 inductor_compile:4.01892 backend_compile:8.08148 gc:0.00185 entire_frame_compile:11.81483 cudagraphify.get_container:0.00205 CUDAGraphNode.record:0.00534 total_wall_time:11.81483
2025-08-14T22:48:17.7575071Z STATS: call_* op count: 152 | FakeTensorMode.__torch_dispatch__:10920 | ProxyTorchDispatchMode.__torch_dispatch__:4024 | FakeTensor.__torch_dispatch__:7636
2025-08-14T22:48:17.7575889Z Dynamo produced 1 graphs covering 152 ops with 0 graph breaks (0 unique)
2025-08-14T22:48:23.3289425Z 
2025-08-14T22:48:24.2649622Z loading model: 0it [00:00, ?it/s]
2025-08-14T22:48:24.2649972Z loading model: 0it [00:00, ?it/s]
2025-08-14T22:48:24.2715362Z cuda eval  mobilenet_v2                       
2025-08-14T22:48:39.5994740Z Compilation time (from dynamo_timed): 12.17044254
2025-08-14T22:48:39.5995115Z pass
2025-08-14T22:48:39.5998339Z TIMING: _recursive_pre_grad_passes:0.0085 pad_mm_benchmark:0.00104 _recursive_joint_graph_passes:0.24078 _recursive_post_grad_passes:0.20229 async_compile.wait:0.02472 code_gen:1.483 inductor_compile:3.99263 backend_compile:8.27723 gc:0.00164 entire_frame_compile:12.17044 cudagraphify.get_container:0.00209 CUDAGraphNode.record:0.0054 total_wall_time:12.17044
2025-08-14T22:48:39.6000823Z STATS: call_* op count: 153 | FakeTensorMode.__torch_dispatch__:11330 | FakeTensor.__torch_dispatch__:7665 | ProxyTorchDispatchMode.__torch_dispatch__:4488
2025-08-14T22:48:39.6001664Z Dynamo produced 1 graphs covering 153 ops with 0 graph breaks (0 unique)
2025-08-14T22:48:45.1648652Z 
2025-08-14T22:48:45.3420434Z loading model: 0it [00:00, ?it/s]
2025-08-14T22:48:45.3420884Z loading model: 0it [00:00, ?it/s]
2025-08-14T22:48:45.3421206Z cuda eval  mobilenet_v2_quantized_qat         
2025-08-14T22:48:45.3427753Z Traceback (most recent call last):
2025-08-14T22:48:45.3428295Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 4124, in run
2025-08-14T22:48:45.3428834Z     ) = runner.load_model(
2025-08-14T22:48:45.3429388Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 332, in load_model
2025-08-14T22:48:45.3429948Z     benchmark = benchmark_cls(
2025-08-14T22:48:45.3430432Z   File "/torchbench/torchbenchmark/util/model.py", line 43, in __call__
2025-08-14T22:48:45.3430909Z     obj = type.__call__(cls, *args, **kwargs)
2025-08-14T22:48:45.3431530Z   File "/torchbench/torchbenchmark/models/mobilenet_v2_quantized_qat/__init__.py", line 23, in __init__
2025-08-14T22:48:45.3432265Z     raise NotImplementedError("The eval test only supports CPU.")
2025-08-14T22:48:45.3432792Z NotImplementedError: The eval test only supports CPU.
2025-08-14T22:48:45.3433075Z 
2025-08-14T22:48:45.3433167Z model_fail_to_load
2025-08-14T22:48:49.4530343Z 
2025-08-14T22:48:50.4845935Z loading model: 0it [00:00, ?it/s]
2025-08-14T22:48:50.4846338Z loading model: 0it [00:01, ?it/s]
2025-08-14T22:48:50.4913110Z cuda eval  mobilenet_v3_large                 
2025-08-14T22:49:08.5423607Z Compilation time (from dynamo_timed): 14.37261031
2025-08-14T22:49:08.5424193Z pass
2025-08-14T22:49:08.5428401Z TIMING: _recursive_pre_grad_passes:0.0085 pad_mm_benchmark:0.10326 _recursive_joint_graph_passes:0.33696 _recursive_post_grad_passes:0.22359 async_compile.wait:0.04654 code_gen:2.40414 inductor_compile:5.38089 backend_compile:9.91135 gc:0.00079 entire_frame_compile:14.37261 cudagraphify.get_container:0.0026 CUDAGraphNode.record:0.00683 total_wall_time:14.37261
2025-08-14T22:49:08.5430202Z STATS: call_* op count: 187 | FakeTensorMode.__torch_dispatch__:11843 | FakeTensor.__torch_dispatch__:8121 | ProxyTorchDispatchMode.__torch_dispatch__:4587
2025-08-14T22:49:08.5431008Z Dynamo produced 1 graphs covering 187 ops with 0 graph breaks (0 unique)
2025-08-14T22:49:14.2943209Z 
2025-08-14T22:49:16.1750859Z loading model: 0it [00:00, ?it/s]
2025-08-14T22:49:16.1751301Z loading model: 0it [00:01, ?it/s]
2025-08-14T22:49:16.1875376Z cuda eval  moco                               
2025-08-14T22:49:19.0514768Z [rank0]:W0814 22:49:19.050000 2326 site-packages/torch/_logging/_internal.py:1199] [0/0] Profiler function <class 'torch.autograd.profiler.record_function'> will be ignored
2025-08-14T22:49:29.6981510Z [rank0]:W0814 22:49:29.696000 2326 site-packages/torch/_dynamo/backends/distributed.py:106] [4/0_1] Some buckets were extended beyond their requested parameter capacities in order to ensure each subgraph has an output node, required for fx graph partitioning. This can be the case when a subgraph would have only contained nodes performing inplace mutation, and returning no logical outputs. This should not be a problem, unless it results in too few graph partitions for optimal DDP performance.
2025-08-14T22:49:29.7236207Z [rank0]:W0814 22:49:29.722000 2326 site-packages/torch/_dynamo/backends/distributed.py:123] [4/0_1] DDPOptimizer extended these buckets to ensure per-subgraph output nodes:
2025-08-14T22:49:29.7237654Z [rank0]:W0814 22:49:29.722000 2326 site-packages/torch/_dynamo/backends/distributed.py:123] [4/0_1] ┌─────────┬─────────────┬────────────────────────┐
2025-08-14T22:49:29.7238752Z [rank0]:W0814 22:49:29.722000 2326 site-packages/torch/_dynamo/backends/distributed.py:123] [4/0_1] │   Index │   Extra Ops │   Extra Param Size (b) │
2025-08-14T22:49:29.7240384Z [rank0]:W0814 22:49:29.722000 2326 site-packages/torch/_dynamo/backends/distributed.py:123] [4/0_1] ├─────────┼─────────────┼────────────────────────┤
2025-08-14T22:49:29.7241458Z [rank0]:W0814 22:49:29.722000 2326 site-packages/torch/_dynamo/backends/distributed.py:123] [4/0_1] │       0 │         470 │               44910720 │
2025-08-14T22:49:29.7242541Z [rank0]:W0814 22:49:29.722000 2326 site-packages/torch/_dynamo/backends/distributed.py:123] [4/0_1] └─────────┴─────────────┴────────────────────────┘
2025-08-14T22:49:51.3044472Z [rank0]:W0814 22:49:51.303000 2326 site-packages/torch/_dynamo/variables/tensor.py:1048] [7/0] Graph break from `Tensor.item()`, consider setting:
2025-08-14T22:49:51.3048367Z [rank0]:W0814 22:49:51.303000 2326 site-packages/torch/_dynamo/variables/tensor.py:1048] [7/0]     torch._dynamo.config.capture_scalar_outputs = True
2025-08-14T22:49:51.3049288Z [rank0]:W0814 22:49:51.303000 2326 site-packages/torch/_dynamo/variables/tensor.py:1048] [7/0] or:
2025-08-14T22:49:51.3050113Z [rank0]:W0814 22:49:51.303000 2326 site-packages/torch/_dynamo/variables/tensor.py:1048] [7/0]     env TORCHDYNAMO_CAPTURE_SCALAR_OUTPUTS=1
2025-08-14T22:49:51.3051161Z [rank0]:W0814 22:49:51.303000 2326 site-packages/torch/_dynamo/variables/tensor.py:1048] [7/0] to include these operations in the captured graph.
2025-08-14T22:49:51.3052002Z [rank0]:W0814 22:49:51.303000 2326 site-packages/torch/_dynamo/variables/tensor.py:1048] [7/0] 
2025-08-14T22:49:51.3052754Z [rank0]:W0814 22:49:51.303000 2326 site-packages/torch/_dynamo/variables/tensor.py:1048] [7/0] Graph break: from user code at:
2025-08-14T22:49:51.3053933Z [rank0]:W0814 22:49:51.303000 2326 site-packages/torch/_dynamo/variables/tensor.py:1048] [7/0]   File "/torchbench/torchbenchmark/models/moco/moco/builder.py", line 167, in torch_dynamo_resume_in_forward_at_142
2025-08-14T22:49:51.3055122Z [rank0]:W0814 22:49:51.303000 2326 site-packages/torch/_dynamo/variables/tensor.py:1048] [7/0]     self._dequeue_and_enqueue(k)
2025-08-14T22:49:51.3056326Z [rank0]:W0814 22:49:51.303000 2326 site-packages/torch/_dynamo/variables/tensor.py:1048] [7/0]   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_contextlib.py", line 120, in decorate_context
2025-08-14T22:49:51.3057505Z [rank0]:W0814 22:49:51.303000 2326 site-packages/torch/_dynamo/variables/tensor.py:1048] [7/0]     return func(*args, **kwargs)
2025-08-14T22:49:51.3058619Z [rank0]:W0814 22:49:51.303000 2326 site-packages/torch/_dynamo/variables/tensor.py:1048] [7/0]   File "/torchbench/torchbenchmark/models/moco/moco/builder.py", line 68, in _dequeue_and_enqueue
2025-08-14T22:49:51.3059732Z [rank0]:W0814 22:49:51.303000 2326 site-packages/torch/_dynamo/variables/tensor.py:1048] [7/0]     ptr = int(self.queue_ptr)
2025-08-14T22:49:51.3060479Z [rank0]:W0814 22:49:51.303000 2326 site-packages/torch/_dynamo/variables/tensor.py:1048] [7/0] 
2025-08-14T22:49:51.3061117Z [rank0]:W0814 22:49:51.303000 2326 site-packages/torch/_dynamo/variables/tensor.py:1048] [7/0] 
2025-08-14T22:50:07.6276307Z Compilation time (from dynamo_timed): 48.245878629
2025-08-14T22:50:07.6276770Z pass
2025-08-14T22:50:07.6299098Z TIMING: gc:0.00698 entire_frame_compile:48.24588 _recursive_pre_grad_passes:0.10647 _recursive_joint_graph_passes:0.41995 _recursive_post_grad_passes:0.54444 async_compile.wait:0.5883 code_gen:7.04867 inductor_compile:13.94799 pad_mm_benchmark:0.06639 backend_compile:25.10473 cudagraphify.get_container:0.00162 CUDAGraphNode.record:0.02006 total_wall_time:48.24588
2025-08-14T22:50:07.6300908Z STATS: call_* op count: 877 | FakeTensorMode.__torch_dispatch__:32007 | FakeTensor.__torch_dispatch__:22821 | ProxyTorchDispatchMode.__torch_dispatch__:11916
2025-08-14T22:50:07.6301711Z Dynamo produced 7 graphs covering 877 ops with 7 graph breaks (4 unique)
2025-08-14T22:50:09.4247600Z [rank0]:[W814 22:50:09.391764431 ProcessGroupNCCL.cpp:1519] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
2025-08-14T22:50:14.7710843Z 
2025-08-14T22:50:15.3003469Z loading model: 0it [00:00, ?it/s]
2025-08-14T22:50:15.3003823Z loading model: 0it [00:00, ?it/s]
2025-08-14T22:50:15.3004138Z cuda eval  moondream                          
2025-08-14T22:50:15.3009389Z Traceback (most recent call last):
2025-08-14T22:50:15.3009883Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 4124, in run
2025-08-14T22:50:15.3010363Z     ) = runner.load_model(
2025-08-14T22:50:15.3010842Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 332, in load_model
2025-08-14T22:50:15.3011441Z     benchmark = benchmark_cls(
2025-08-14T22:50:15.3011846Z   File "/torchbench/torchbenchmark/util/model.py", line 43, in __call__
2025-08-14T22:50:15.3012288Z     obj = type.__call__(cls, *args, **kwargs)
2025-08-14T22:50:15.3012798Z   File "/torchbench/torchbenchmark/models/moondream/__init__.py", line 12, in __init__
2025-08-14T22:50:15.3013260Z     super().__init__(
2025-08-14T22:50:15.3013766Z   File "/torchbench/torchbenchmark/util/framework/huggingface/model_factory.py", line 32, in __init__
2025-08-14T22:50:15.3014302Z     super().__init__(
2025-08-14T22:50:15.3014660Z   File "/torchbench/torchbenchmark/util/model.py", line 110, in __init__
2025-08-14T22:50:15.3015084Z     self._skip_by_device_name()
2025-08-14T22:50:15.3015532Z   File "/torchbench/torchbenchmark/util/model.py", line 202, in _skip_by_device_name
2025-08-14T22:50:15.3016005Z     raise NotImplementedError(
2025-08-14T22:50:15.3016506Z NotImplementedError: The current device NVIDIA A10G is skipped by its `moondream/metadata.yaml`.
2025-08-14T22:50:15.3016929Z 
2025-08-14T22:50:15.3017019Z model_fail_to_load
2025-08-14T22:50:19.4466587Z 
2025-08-14T22:50:21.3446073Z loading model: 0it [00:00, ?it/s]number of parameters: 123.69M
2025-08-14T22:50:21.5829663Z num decayed parameter tensors: 50, with 124,354,560 parameters
2025-08-14T22:50:21.5830150Z num non-decayed parameter tensors: 98, with 121,344 parameters
2025-08-14T22:50:21.5833733Z using fused AdamW: True
2025-08-14T22:50:21.9279096Z 
2025-08-14T22:50:21.9279281Z loading model: 0it [00:02, ?it/s]
2025-08-14T22:50:21.9319624Z cuda eval  nanogpt                            
2025-08-14T22:50:32.5160178Z Compilation time (from dynamo_timed): 9.008848908
2025-08-14T22:50:32.5171485Z pass
2025-08-14T22:50:32.5173011Z TIMING: _recursive_pre_grad_passes:0.00865 pad_mm_benchmark:0.11528 _recursive_joint_graph_passes:0.51658 _recursive_post_grad_passes:0.5716 async_compile.wait:0.14073 code_gen:1.41813 inductor_compile:3.57749 backend_compile:6.86987 gc:0.0011 entire_frame_compile:9.00885 cudagraphify.get_container:0.00312 CUDAGraphNode.record:0.00918 total_wall_time:9.00885
2025-08-14T22:50:32.5174747Z STATS: call_* op count: 393 | FakeTensorMode.__torch_dispatch__:12830 | FakeTensor.__torch_dispatch__:5399 | ProxyTorchDispatchMode.__torch_dispatch__:4659
2025-08-14T22:50:32.5175574Z Dynamo produced 1 graphs covering 393 ops with 0 graph breaks (0 unique)
2025-08-14T22:50:38.0141173Z 
2025-08-14T22:50:40.4983695Z loading model: 0it [00:00, ?it/s]
2025-08-14T22:50:40.4984053Z loading model: 0it [00:02, ?it/s]
2025-08-14T22:50:40.4988257Z cuda eval  nvidia_deeprecommender             
2025-08-14T22:50:44.7063968Z Compilation time (from dynamo_timed): 2.891743134
2025-08-14T22:50:44.7064340Z pass
2025-08-14T22:50:44.7079759Z TIMING: _recursive_pre_grad_passes:0.00357 pad_mm_benchmark:0.46468 _recursive_joint_graph_passes:0.79165 _recursive_post_grad_passes:0.09258 async_compile.precompile:0.3754 async_compile.wait:0.00017 code_gen:0.52758 inductor_compile:0.78256 backend_compile:2.60794 gc:0.00036 entire_frame_compile:2.89174 cudagraphify.get_container:0.00641 CUDAGraphNode.record:0.00171 total_wall_time:2.89174
2025-08-14T22:50:44.7081626Z STATS: call_* op count: 13 | FakeTensorMode.__torch_dispatch__:1217 | ProxyTorchDispatchMode.__torch_dispatch__:356 | FakeTensor.__torch_dispatch__:525
2025-08-14T22:50:44.7082698Z Dynamo produced 1 graphs covering 13 ops with 0 graph breaks (0 unique)
2025-08-14T22:50:50.4228395Z 
2025-08-14T22:50:51.4550387Z loading model: 0it [00:00, ?it/s]
2025-08-14T22:50:51.4550753Z loading model: 0it [00:01, ?it/s]
2025-08-14T22:50:51.4569553Z cuda eval  opacus_cifar10                     
2025-08-14T22:50:59.8742220Z Compilation time (from dynamo_timed): 7.026542019
2025-08-14T22:50:59.8742597Z pass
2025-08-14T22:50:59.8743878Z TIMING: _recursive_pre_grad_passes:0.0052 pad_mm_benchmark:0.06867 _recursive_joint_graph_passes:0.46473 _recursive_post_grad_passes:0.07764 async_compile.wait:0.07589 code_gen:1.95658 inductor_compile:2.98761 backend_compile:5.22699 gc:0.00031 entire_frame_compile:7.02654 cudagraphify.get_container:0.00226 CUDAGraphNode.record:0.00367 total_wall_time:7.02654
2025-08-14T22:50:59.8745640Z STATS: call_* op count: 69 | FakeTensorMode.__torch_dispatch__:3784 | FakeTensor.__torch_dispatch__:2630 | ProxyTorchDispatchMode.__torch_dispatch__:1401
2025-08-14T22:50:59.8746474Z Dynamo produced 1 graphs covering 69 ops with 0 graph breaks (0 unique)
2025-08-14T22:51:05.3799896Z 
2025-08-14T22:51:06.1364582Z loading model: 0it [00:00, ?it/s]
2025-08-14T22:51:06.1364954Z loading model: 0it [00:00, ?it/s]
2025-08-14T22:51:06.1430709Z cuda eval  phlippe_densenet                   
2025-08-14T22:51:22.2746822Z Compilation time (from dynamo_timed): 14.673603028
2025-08-14T22:51:22.2747312Z pass
2025-08-14T22:51:22.2748816Z TIMING: _recursive_pre_grad_passes:0.00873 pad_mm_benchmark:0.06545 _recursive_joint_graph_passes:0.48413 _recursive_post_grad_passes:0.20806 async_compile.wait:0.03702 code_gen:3.72838 inductor_compile:6.19489 backend_compile:10.55212 gc:0.00124 entire_frame_compile:14.6736 cudagraphify.get_container:0.00258 CUDAGraphNode.record:0.00715 total_wall_time:14.6736
2025-08-14T22:51:22.2750594Z STATS: call_* op count: 186 | FakeTensorMode.__torch_dispatch__:11810 | FakeTensor.__torch_dispatch__:7975 | ProxyTorchDispatchMode.__torch_dispatch__:4308
2025-08-14T22:51:22.2751429Z Dynamo produced 1 graphs covering 186 ops with 0 graph breaks (0 unique)
2025-08-14T22:51:27.9803097Z 
2025-08-14T22:51:28.5897325Z loading model: 0it [00:00, ?it/s]
2025-08-14T22:51:28.5897670Z loading model: 0it [00:00, ?it/s]
2025-08-14T22:51:28.5924244Z cuda eval  phlippe_resnet                     
2025-08-14T22:51:35.4889203Z Compilation time (from dynamo_timed): 5.60836865
2025-08-14T22:51:35.4889749Z pass
2025-08-14T22:51:35.4891768Z TIMING: _recursive_pre_grad_passes:0.00557 pad_mm_benchmark:0.06797 _recursive_joint_graph_passes:0.25295 _recursive_post_grad_passes:0.08769 async_compile.wait:0.32001 code_gen:1.12198 inductor_compile:2.00581 backend_compile:4.21656 gc:0.00014 entire_frame_compile:5.60837 cudagraphify.get_container:0.00283 CUDAGraphNode.record:0.00338 total_wall_time:5.60837
2025-08-14T22:51:35.4893967Z STATS: call_* op count: 71 | FakeTensorMode.__torch_dispatch__:4416 | FakeTensor.__torch_dispatch__:2953 | ProxyTorchDispatchMode.__torch_dispatch__:1636
2025-08-14T22:51:35.4894811Z Dynamo produced 1 graphs covering 71 ops with 0 graph breaks (0 unique)
2025-08-14T22:51:40.8167476Z 
2025-08-14T22:51:41.1790504Z loading model: 0it [00:00, ?it/s]
2025-08-14T22:51:41.1790863Z loading model: 0it [00:00, ?it/s]
2025-08-14T22:51:41.1791188Z cuda eval  pyhpc_equation_of_state            
2025-08-14T22:51:46.8090307Z Compilation time (from dynamo_timed): 4.506536022
2025-08-14T22:51:46.8090673Z pass
2025-08-14T22:51:46.8091987Z TIMING: _recursive_pre_grad_passes:0.00733 _recursive_joint_graph_passes:0.32509 _recursive_post_grad_passes:0.09708 async_compile.wait:0.31457 code_gen:1.54586 inductor_compile:2.31085 backend_compile:4.11052 gc:0.00076 entire_frame_compile:4.50654 cudagraphify.get_container:0.00244 CUDAGraphNode.record:0.00086 total_wall_time:4.50654
2025-08-14T22:51:46.8093662Z STATS: call_* op count: 366 | FakeTensorMode.__torch_dispatch__:4901 | ProxyTorchDispatchMode.__torch_dispatch__:1889 | FakeTensor.__torch_dispatch__:3775
2025-08-14T22:51:46.8094898Z Dynamo produced 1 graphs covering 366 ops with 0 graph breaks (0 unique)
2025-08-14T22:51:52.0670005Z 
2025-08-14T22:51:52.3968898Z loading model: 0it [00:00, ?it/s]
2025-08-14T22:51:52.3969249Z loading model: 0it [00:00, ?it/s]
2025-08-14T22:51:52.3972189Z cuda eval  pyhpc_isoneutral_mixing            
2025-08-14T22:52:04.0961013Z skipping cudagraphs due to mutated inputs (7 instances). Found from : 
2025-08-14T22:52:04.0962146Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:52:04.0963031Z     return mod(*inputs)
2025-08-14T22:52:04.0963869Z   File "/torchbench/torchbenchmark/models/pyhpc_isoneutral_mixing/__init__.py", line 100, in forward
2025-08-14T22:52:04.0964893Z     return isoneutral_pytorch.isoneutral_diffusion_pre(
2025-08-14T22:52:04.0966108Z   File "/torchbench/torchbenchmark/models/pyhpc_isoneutral_mixing/isoneutral_pytorch.py", line 164, in isoneutral_diffusion_pre
2025-08-14T22:52:04.0967378Z     Ai_ez[1:-2, 2:-2, ki:, ip, kr] = taper * sxe * maskU[1:-2, 2:-2, ki:]
2025-08-14T22:52:04.0967833Z 
2025-08-14T22:52:04.1249678Z Compilation time (from dynamo_timed): 10.610272827
2025-08-14T22:52:04.1250035Z pass
2025-08-14T22:52:04.1251130Z TIMING: _recursive_pre_grad_passes:0.0117 _recursive_joint_graph_passes:0.26756 _recursive_post_grad_passes:1.52759 async_compile.wait:0.13828 code_gen:0.95043 inductor_compile:4.89695 backend_compile:9.4121 gc:0.0009 entire_frame_compile:10.61027 cudagraphify.get_container:0.00213 total_wall_time:10.61027
2025-08-14T22:52:04.1252824Z STATS: call_* op count: 744 | FakeTensorMode.__torch_dispatch__:20933 | FakeTensor.__torch_dispatch__:8233 | ProxyTorchDispatchMode.__torch_dispatch__:6191
2025-08-14T22:52:04.1253638Z Dynamo produced 1 graphs covering 744 ops with 0 graph breaks (0 unique)
2025-08-14T22:52:09.6519603Z 
2025-08-14T22:52:10.4186919Z loading model: 0it [00:00, ?it/s]WARNING:common:Model pyhpc_turbulent_kinetic_energy does not support bfloat16, running with amp instead
2025-08-14T22:52:10.5428293Z 
2025-08-14T22:52:10.5428476Z loading model: 0it [00:00, ?it/s]
2025-08-14T22:52:10.5429018Z WARNING:common:Model pyhpc_turbulent_kinetic_energy does not support bfloat16, running with amp instead
2025-08-14T22:52:10.5429590Z cuda eval  pyhpc_turbulent_kinetic_energy     
2025-08-14T22:52:10.5878150Z WARNING:common:Model pyhpc_turbulent_kinetic_energy does not support bfloat16, running with amp instead
2025-08-14T22:52:30.2675459Z Compilation time (from dynamo_timed): 18.51299456
2025-08-14T22:52:30.2675818Z pass
2025-08-14T22:52:30.2738207Z TIMING: _recursive_pre_grad_passes:0.0144 _recursive_joint_graph_passes:0.24423 _recursive_post_grad_passes:1.2529 async_compile.wait:0.34263 code_gen:7.95947 inductor_compile:12.3914 backend_compile:17.12502 gc:0.00147 entire_frame_compile:18.51299 cudagraphify.get_container:0.00352 CUDAGraphNode.record:0.00252 total_wall_time:18.51299
2025-08-14T22:52:30.2739901Z STATS: call_* op count: 996 | FakeTensorMode.__torch_dispatch__:21501 | FakeTensor.__torch_dispatch__:7844 | ProxyTorchDispatchMode.__torch_dispatch__:6254
2025-08-14T22:52:30.2740764Z Dynamo produced 1 graphs covering 996 ops with 0 graph breaks (0 unique)
2025-08-14T22:52:36.1675516Z 
2025-08-14T22:52:36.9606737Z loading model: 0it [00:00, ?it/s]
2025-08-14T22:52:36.9607359Z loading model: 0it [00:00, ?it/s]
2025-08-14T22:52:36.9620479Z cuda eval  pytorch_CycleGAN_and_pix2pix       
2025-08-14T22:52:47.8329996Z Compilation time (from dynamo_timed): 7.134387166
2025-08-14T22:52:47.8330442Z pass
2025-08-14T22:52:47.8339099Z TIMING: _recursive_pre_grad_passes:0.00512 _recursive_joint_graph_passes:0.37173 _recursive_post_grad_passes:0.09897 async_compile.wait:0.38391 code_gen:2.41491 inductor_compile:3.70683 backend_compile:5.89932 gc:0.0007 entire_frame_compile:7.13439 cudagraphify.get_container:0.00205 CachingAutotuner.benchmark_all_configs:0.35937 CUDAGraphNode.record:0.004 total_wall_time:7.13439
2025-08-14T22:52:47.8341283Z STATS: call_* op count: 91 | FakeTensorMode.__torch_dispatch__:4917 | FakeTensor.__torch_dispatch__:3095 | ProxyTorchDispatchMode.__torch_dispatch__:2004
2025-08-14T22:52:47.8342241Z Dynamo produced 1 graphs covering 91 ops with 0 graph breaks (0 unique)
2025-08-14T22:52:53.4520126Z 
2025-08-14T22:52:54.5938632Z loading model: 0it [00:00, ?it/s]
2025-08-14T22:52:54.5939002Z loading model: 0it [00:01, ?it/s]
2025-08-14T22:52:54.5961014Z cuda eval  pytorch_stargan                    
2025-08-14T22:53:11.3109892Z Compilation time (from dynamo_timed): 7.286125547
2025-08-14T22:53:11.3110289Z pass
2025-08-14T22:53:11.3125362Z TIMING: _recursive_pre_grad_passes:0.0054 _recursive_joint_graph_passes:0.43546 _recursive_post_grad_passes:0.08999 async_compile.wait:0.23336 code_gen:2.16477 inductor_compile:3.35843 backend_compile:5.95963 gc:0.0004 entire_frame_compile:7.28613 cudagraphify.get_container:0.00439 CUDAGraphNode.record:0.00327 total_wall_time:7.28613
2025-08-14T22:53:11.3127090Z STATS: call_* op count: 56 | FakeTensorMode.__torch_dispatch__:6860 | FakeTensor.__torch_dispatch__:3226 | ProxyTorchDispatchMode.__torch_dispatch__:2542
2025-08-14T22:53:11.3127944Z Dynamo produced 1 graphs covering 56 ops with 0 graph breaks (0 unique)
2025-08-14T22:53:16.7748406Z 
2025-08-14T22:53:17.5804913Z loading model: 0it [00:00, ?it/s]
2025-08-14T22:53:17.5805267Z loading model: 0it [00:00, ?it/s]
2025-08-14T22:53:17.5828657Z cuda eval  pytorch_unet                       
2025-08-14T22:53:37.0301149Z Compilation time (from dynamo_timed): 8.797152764
2025-08-14T22:53:37.0301527Z pass
2025-08-14T22:53:37.0333336Z TIMING: _recursive_pre_grad_passes:0.00588 _recursive_joint_graph_passes:0.19374 _recursive_post_grad_passes:0.11019 async_compile.wait:0.30549 code_gen:3.25589 inductor_compile:4.54631 backend_compile:7.12634 gc:0.00093 entire_frame_compile:8.79715 cudagraphify.get_container:0.00234 CachingAutotuner.benchmark_all_configs:1.71268 CUDAGraphNode.record:0.00351 total_wall_time:8.79715
2025-08-14T22:53:37.0335219Z STATS: call_* op count: 71 | FakeTensorMode.__torch_dispatch__:6680 | FakeTensor.__torch_dispatch__:3904 | ProxyTorchDispatchMode.__torch_dispatch__:2438
2025-08-14T22:53:37.0336059Z Dynamo produced 1 graphs covering 71 ops with 0 graph breaks (0 unique)
2025-08-14T22:53:42.5070462Z 
2025-08-14T22:53:43.3260377Z loading model: 0it [00:00, ?it/s]Downloading: "https://download.pytorch.org/models/resnet152-394f9c45.pth" to /var/lib/jenkins/.cache/torch/hub/checkpoints/resnet152-394f9c45.pth
2025-08-14T22:53:43.3405981Z 
2025-08-14T22:53:43.3406035Z 
2025-08-14T22:53:43.4411272Z   0% 0.00/230M [00:00<?, ?B/s]
2025-08-14T22:53:43.4411521Z 
2025-08-14T22:53:43.5442829Z  14% 33.4M/230M [00:00<00:00, 349MB/s]
2025-08-14T22:53:43.5443092Z 
2025-08-14T22:53:43.6444898Z  29% 66.8M/230M [00:00<00:00, 343MB/s]
2025-08-14T22:53:43.6445135Z 
2025-08-14T22:53:43.7445942Z  47% 109M/230M [00:00<00:00, 388MB/s] 
2025-08-14T22:53:43.7446234Z 
2025-08-14T22:53:43.8448370Z  66% 152M/230M [00:00<00:00, 412MB/s]
2025-08-14T22:53:43.8448671Z 
2025-08-14T22:53:43.9267951Z  85% 195M/230M [00:00<00:00, 427MB/s]
2025-08-14T22:53:43.9268290Z 100% 230M/230M [00:00<00:00, 412MB/s]
2025-08-14T22:53:44.9299058Z 
2025-08-14T22:53:44.9299725Z loading model: 0it [00:02, ?it/s]
2025-08-14T22:53:44.9492375Z cuda eval  resnet152                          
2025-08-14T22:54:18.7184430Z Compilation time (from dynamo_timed): 30.517860638
2025-08-14T22:54:18.7186490Z pass
2025-08-14T22:54:18.7220103Z TIMING: _recursive_pre_grad_passes:0.02054 pad_mm_benchmark:0.06631 _recursive_joint_graph_passes:0.41875 _recursive_post_grad_passes:0.57182 async_compile.wait:0.02258 code_gen:3.73063 inductor_compile:10.35412 backend_compile:20.50303 gc:0.00089 entire_frame_compile:30.51786 cudagraphify.get_container:0.00289 CUDAGraphNode.record:0.01443 total_wall_time:30.51786
2025-08-14T22:54:18.7222834Z STATS: call_* op count: 515 | FakeTensorMode.__torch_dispatch__:29973 | FakeTensor.__torch_dispatch__:23390 | ProxyTorchDispatchMode.__torch_dispatch__:11943
2025-08-14T22:54:18.7224161Z Dynamo produced 1 graphs covering 515 ops with 0 graph breaks (0 unique)
2025-08-14T22:54:25.1001570Z 
2025-08-14T22:54:25.4011902Z loading model: 0it [00:00, ?it/s]Downloading: "https://download.pytorch.org/models/resnet18-f37072fd.pth" to /var/lib/jenkins/.cache/torch/hub/checkpoints/resnet18-f37072fd.pth
2025-08-14T22:54:25.4150809Z 
2025-08-14T22:54:25.4150960Z 
2025-08-14T22:54:25.5152796Z   0% 0.00/44.7M [00:00<?, ?B/s]
2025-08-14T22:54:25.5153012Z 
2025-08-14T22:54:25.5360903Z  83% 37.0M/44.7M [00:00<00:00, 388MB/s]
2025-08-14T22:54:25.5361290Z 100% 44.7M/44.7M [00:00<00:00, 388MB/s]
2025-08-14T22:54:26.2519160Z 
2025-08-14T22:54:26.2519327Z loading model: 0it [00:01, ?it/s]
2025-08-14T22:54:26.2548282Z cuda eval  resnet18                           
2025-08-14T22:54:33.8434129Z Compilation time (from dynamo_timed): 5.847673312
2025-08-14T22:54:33.8434630Z pass
2025-08-14T22:54:33.8437435Z TIMING: _recursive_pre_grad_passes:0.00577 pad_mm_benchmark:0.10051 _recursive_joint_graph_passes:0.45555 _recursive_post_grad_passes:0.09206 async_compile.wait:0.11966 code_gen:1.22253 inductor_compile:2.17256 backend_compile:4.45525 gc:0.00101 entire_frame_compile:5.84767 cudagraphify.get_container:0.00225 CUDAGraphNode.record:0.00341 total_wall_time:5.84767
2025-08-14T22:54:33.8439318Z STATS: call_* op count: 69 | FakeTensorMode.__torch_dispatch__:4476 | FakeTensor.__torch_dispatch__:3050 | ProxyTorchDispatchMode.__torch_dispatch__:1601
2025-08-14T22:54:33.8440124Z Dynamo produced 1 graphs covering 69 ops with 0 graph breaks (0 unique)
2025-08-14T22:54:39.3543662Z 
2025-08-14T22:54:39.7950269Z loading model: 0it [00:00, ?it/s]Downloading: "https://download.pytorch.org/models/resnet50-0676ba61.pth" to /var/lib/jenkins/.cache/torch/hub/checkpoints/resnet50-0676ba61.pth
2025-08-14T22:54:39.8107573Z 
2025-08-14T22:54:39.8107638Z 
2025-08-14T22:54:39.9110291Z   0% 0.00/97.8M [00:00<?, ?B/s]
2025-08-14T22:54:39.9110515Z 
2025-08-14T22:54:40.0216595Z  17% 16.2M/97.8M [00:00<00:00, 170MB/s]
2025-08-14T22:54:40.0216833Z 
2025-08-14T22:54:40.1217077Z  33% 32.5M/97.8M [00:00<00:00, 160MB/s]
2025-08-14T22:54:40.1217305Z 
2025-08-14T22:54:40.1832502Z  74% 72.4M/97.8M [00:00<00:00, 274MB/s]
2025-08-14T22:54:40.1832823Z 100% 97.8M/97.8M [00:00<00:00, 275MB/s]
2025-08-14T22:54:41.0318604Z 
2025-08-14T22:54:41.0319249Z loading model: 0it [00:01, ?it/s]
2025-08-14T22:54:41.0385326Z cuda eval  resnet50                           
2025-08-14T22:54:55.4361045Z Compilation time (from dynamo_timed): 11.770264916
2025-08-14T22:54:55.4361545Z pass
2025-08-14T22:54:55.4379215Z TIMING: _recursive_pre_grad_passes:0.00838 pad_mm_benchmark:0.00105 _recursive_joint_graph_passes:0.22637 _recursive_post_grad_passes:0.41252 async_compile.wait:0.02292 code_gen:1.65865 inductor_compile:4.13368 backend_compile:8.23194 gc:0.00182 entire_frame_compile:11.77026 cudagraphify.get_container:0.00206 CUDAGraphNode.record:0.00574 total_wall_time:11.77026
2025-08-14T22:54:55.4380998Z STATS: call_* op count: 175 | FakeTensorMode.__torch_dispatch__:10899 | FakeTensor.__torch_dispatch__:7988 | ProxyTorchDispatchMode.__torch_dispatch__:4123
2025-08-14T22:54:55.4381862Z Dynamo produced 1 graphs covering 175 ops with 0 graph breaks (0 unique)
2025-08-14T22:55:01.0862221Z 
2025-08-14T22:55:01.2617211Z loading model: 0it [00:00, ?it/s]
2025-08-14T22:55:01.2617598Z loading model: 0it [00:00, ?it/s]
2025-08-14T22:55:01.2617909Z cuda eval  resnet50_quantized_qat             
2025-08-14T22:55:01.2623304Z Traceback (most recent call last):
2025-08-14T22:55:01.2624225Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 4124, in run
2025-08-14T22:55:01.2624720Z     ) = runner.load_model(
2025-08-14T22:55:01.2625193Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 332, in load_model
2025-08-14T22:55:01.2625881Z     benchmark = benchmark_cls(
2025-08-14T22:55:01.2626324Z   File "/torchbench/torchbenchmark/util/model.py", line 43, in __call__
2025-08-14T22:55:01.2626820Z     obj = type.__call__(cls, *args, **kwargs)
2025-08-14T22:55:01.2627913Z   File "/torchbench/torchbenchmark/models/resnet50_quantized_qat/__init__.py", line 22, in __init__
2025-08-14T22:55:01.2628830Z     raise NotImplementedError("The eval test only supports CPU.")
2025-08-14T22:55:01.2629298Z NotImplementedError: The eval test only supports CPU.
2025-08-14T22:55:01.2629562Z 
2025-08-14T22:55:01.2629652Z model_fail_to_load
2025-08-14T22:55:05.3911397Z 
2025-08-14T22:55:05.8579833Z loading model: 0it [00:00, ?it/s]Downloading: "https://download.pytorch.org/models/resnext50_32x4d-7cdf4587.pth" to /var/lib/jenkins/.cache/torch/hub/checkpoints/resnext50_32x4d-7cdf4587.pth
2025-08-14T22:55:05.8720624Z 
2025-08-14T22:55:05.8720653Z 
2025-08-14T22:55:05.9730634Z   0% 0.00/95.8M [00:00<?, ?B/s]
2025-08-14T22:55:05.9730949Z 
2025-08-14T22:55:06.1285889Z  28% 27.1M/95.8M [00:00<00:00, 283MB/s]
2025-08-14T22:55:06.1286213Z 
2025-08-14T22:55:06.2265691Z  57% 54.1M/95.8M [00:00<00:00, 213MB/s]
2025-08-14T22:55:06.2266127Z 100% 95.8M/95.8M [00:00<00:00, 284MB/s]
2025-08-14T22:55:07.1531819Z 
2025-08-14T22:55:07.1532221Z loading model: 0it [00:01, ?it/s]
2025-08-14T22:55:07.1599431Z cuda eval  resnext50_32x4d                    
2025-08-14T22:55:22.1556293Z Compilation time (from dynamo_timed): 11.992739461
2025-08-14T22:55:22.1556661Z pass
2025-08-14T22:55:22.1577829Z TIMING: _recursive_pre_grad_passes:0.00848 pad_mm_benchmark:0.00104 _recursive_joint_graph_passes:0.22877 _recursive_post_grad_passes:0.21321 async_compile.wait:0.02268 code_gen:1.79892 inductor_compile:4.32397 backend_compile:8.46449 gc:0.00082 entire_frame_compile:11.99274 cudagraphify.get_container:0.00211 CUDAGraphNode.record:0.00591 total_wall_time:11.99274
2025-08-14T22:55:22.1579590Z STATS: call_* op count: 175 | FakeTensorMode.__torch_dispatch__:10822 | FakeTensor.__torch_dispatch__:7988 | ProxyTorchDispatchMode.__torch_dispatch__:4123
2025-08-14T22:55:22.1580388Z Dynamo produced 1 graphs covering 175 ops with 0 graph breaks (0 unique)
2025-08-14T22:55:27.8102747Z 
2025-08-14T22:55:35.3403888Z loading model: 0it [00:00, ?it/s]
2025-08-14T22:55:35.3404526Z loading model: 0it [00:07, ?it/s]
2025-08-14T22:55:35.3528417Z cuda eval  sam                                
2025-08-14T22:57:02.5742400Z Compilation time (from dynamo_timed): 53.80521676
2025-08-14T22:57:02.5744594Z pass
2025-08-14T22:57:02.6115707Z TIMING: _recursive_pre_grad_passes:0.0295 pad_mm_benchmark:0.99827 _recursive_joint_graph_passes:2.90013 _recursive_post_grad_passes:4.25062 async_compile.wait:2.2926 code_gen:14.57934 inductor_compile:27.55028 backend_compile:44.4247 gc:0.00041 entire_frame_compile:53.80522 cudagraphify.get_container:0.00677 CachingAutotuner.benchmark_all_configs:2.6382 CUDAGraphNode.record:0.04509 total_wall_time:53.80522
2025-08-14T22:57:02.6117770Z STATS: call_* op count: 2285 | FakeTensorMode.__torch_dispatch__:83821 | FakeTensor.__torch_dispatch__:29116 | ProxyTorchDispatchMode.__torch_dispatch__:28277
2025-08-14T22:57:02.6118603Z Dynamo produced 1 graphs covering 2285 ops with 0 graph breaks (0 unique)
2025-08-14T22:57:10.0389631Z 
2025-08-14T22:58:00.7110806Z loading model: 0it [00:00, ?it/s]E0814 22:58:00.710000 10931 site-packages/torch/_inductor/select_algorithm.py:2852] [0/0] Runtime error during autotuning: 
2025-08-14T22:58:00.7112237Z E0814 22:58:00.710000 10931 site-packages/torch/_inductor/select_algorithm.py:2852] [0/0] No valid triton configs. OutOfMemoryError: out of resource: triton_mm Required: 131072 Hardware limit:101376 Reducing block sizes or `num_stages` may help.. 
2025-08-14T22:58:00.7113563Z E0814 22:58:00.710000 10931 site-packages/torch/_inductor/select_algorithm.py:2852] [0/0] Ignoring this choice.
2025-08-14T22:58:00.8190380Z E0814 22:58:00.818000 10931 site-packages/torch/_inductor/select_algorithm.py:2852] [0/0] Runtime error during autotuning: 
2025-08-14T22:58:00.8191665Z E0814 22:58:00.818000 10931 site-packages/torch/_inductor/select_algorithm.py:2852] [0/0] No valid triton configs. OutOfMemoryError: out of resource: triton_mm Required: 147456 Hardware limit:101376 Reducing block sizes or `num_stages` may help.. 
2025-08-14T22:58:00.8193314Z E0814 22:58:00.818000 10931 site-packages/torch/_inductor/select_algorithm.py:2852] [0/0] Ignoring this choice.
2025-08-14T22:58:00.9995838Z E0814 22:58:00.998000 10931 site-packages/torch/_inductor/select_algorithm.py:2852] [0/0] Runtime error during autotuning: 
2025-08-14T22:58:00.9998366Z E0814 22:58:00.998000 10931 site-packages/torch/_inductor/select_algorithm.py:2852] [0/0] No valid triton configs. OutOfMemoryError: out of resource: triton_mm Required: 131072 Hardware limit:101376 Reducing block sizes or `num_stages` may help.. 
2025-08-14T22:58:01.0001269Z E0814 22:58:00.998000 10931 site-packages/torch/_inductor/select_algorithm.py:2852] [0/0] Ignoring this choice.
2025-08-14T22:58:01.0002559Z Autotune Choices Stats:
2025-08-14T22:58:01.0003698Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_93", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4", "best_time": 0.8017920255661011, "best_triton_pos": 0}
2025-08-14T22:58:01.0004820Z AUTOTUNE mm(4096x1280, 1280x5120)
2025-08-14T22:58:01.0005108Z strides: [1280, 1], [1, 1280]
2025-08-14T22:58:01.0005469Z dtypes: torch.float16, torch.float16
2025-08-14T22:58:01.0006237Z   triton_mm_93 0.8018 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4
2025-08-14T22:58:01.0007385Z   triton_mm_91 0.8028 ms 99.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8
2025-08-14T22:58:01.0008505Z   triton_mm_87 0.8131 ms 98.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8
2025-08-14T22:58:01.0009691Z   triton_mm_86 0.8141 ms 98.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4
2025-08-14T22:58:01.0010836Z   triton_mm_83 0.8171 ms 98.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4
2025-08-14T22:58:01.0012020Z   triton_mm_90 0.8243 ms 97.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4
2025-08-14T22:58:01.0012767Z   mm 0.8387 ms 95.6% 
2025-08-14T22:58:01.0013459Z   triton_mm_88 0.8398 ms 95.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4
2025-08-14T22:58:01.0014590Z   triton_mm_84 0.8489 ms 94.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8
2025-08-14T22:58:01.0015727Z   triton_mm_82 0.8561 ms 93.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4
2025-08-14T22:58:01.0016911Z SingleProcess AUTOTUNE benchmarking takes 0.6219 seconds and 0.0004 seconds precompiling for 20 choices
2025-08-14T22:58:03.1471928Z E0814 22:58:03.146000 10931 site-packages/torch/_inductor/select_algorithm.py:2852] [0/0] Runtime error during autotuning: 
2025-08-14T22:58:03.1474047Z E0814 22:58:03.146000 10931 site-packages/torch/_inductor/select_algorithm.py:2852] [0/0] No valid triton configs. OutOfMemoryError: out of resource: triton_mm Required: 131072 Hardware limit:101376 Reducing block sizes or `num_stages` may help.. 
2025-08-14T22:58:03.1476239Z E0814 22:58:03.146000 10931 site-packages/torch/_inductor/select_algorithm.py:2852] [0/0] Ignoring this choice.
2025-08-14T22:58:03.2544605Z E0814 22:58:03.253000 10931 site-packages/torch/_inductor/select_algorithm.py:2852] [0/0] Runtime error during autotuning: 
2025-08-14T22:58:03.2547323Z E0814 22:58:03.253000 10931 site-packages/torch/_inductor/select_algorithm.py:2852] [0/0] No valid triton configs. OutOfMemoryError: out of resource: triton_mm Required: 147456 Hardware limit:101376 Reducing block sizes or `num_stages` may help.. 
2025-08-14T22:58:03.2549305Z E0814 22:58:03.253000 10931 site-packages/torch/_inductor/select_algorithm.py:2852] [0/0] Ignoring this choice.
2025-08-14T22:58:03.4338272Z E0814 22:58:03.432000 10931 site-packages/torch/_inductor/select_algorithm.py:2852] [0/0] Runtime error during autotuning: 
2025-08-14T22:58:03.4340791Z E0814 22:58:03.432000 10931 site-packages/torch/_inductor/select_algorithm.py:2852] [0/0] No valid triton configs. OutOfMemoryError: out of resource: triton_mm Required: 131072 Hardware limit:101376 Reducing block sizes or `num_stages` may help.. 
2025-08-14T22:58:03.4343203Z E0814 22:58:03.432000 10931 site-packages/torch/_inductor/select_algorithm.py:2852] [0/0] Ignoring this choice.
2025-08-14T22:58:03.4344261Z Autotune Choices Stats:
2025-08-14T22:58:03.4346643Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "mm", "best_time": 0.7905279994010925, "best_triton_pos": 1, "best_triton_time": 0.7976319789886475, "best_triton_kernel": "triton_mm_3476", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4"}
2025-08-14T22:58:03.4349158Z AUTOTUNE mm(4096x5120, 5120x1280)
2025-08-14T22:58:03.4349669Z strides: [5120, 1], [1, 5120]
2025-08-14T22:58:03.4350119Z dtypes: torch.float16, torch.float16
2025-08-14T22:58:03.4350611Z   mm 0.7905 ms 100.0% 
2025-08-14T22:58:03.4351706Z   triton_mm_3476 0.7976 ms 99.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4
2025-08-14T22:58:03.4366517Z   triton_mm_3474 0.8151 ms 97.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8
2025-08-14T22:58:03.4368471Z   triton_mm_3469 0.8161 ms 96.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4
2025-08-14T22:58:03.4370372Z   triton_mm_3473 0.8161 ms 96.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4
2025-08-14T22:58:03.4372381Z   triton_mm_3477 0.8202 ms 96.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4
2025-08-14T22:58:03.4374279Z   triton_mm_3471 0.8274 ms 95.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4
2025-08-14T22:58:03.4376166Z   triton_mm_3470 0.8315 ms 95.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8
2025-08-14T22:58:03.4378081Z   triton_mm_3475 0.8540 ms 92.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=8
2025-08-14T22:58:03.4379977Z   triton_mm_3466 0.8549 ms 92.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4
2025-08-14T22:58:03.4381588Z SingleProcess AUTOTUNE benchmarking takes 0.6201 seconds and 0.0002 seconds precompiling for 20 choices
2025-08-14T22:58:05.9134296Z E0814 22:58:05.912000 10931 site-packages/torch/_inductor/select_algorithm.py:2852] [0/0] Runtime error during autotuning: 
2025-08-14T22:58:05.9135639Z E0814 22:58:05.912000 10931 site-packages/torch/_inductor/select_algorithm.py:2852] [0/0] No valid triton configs. OutOfMemoryError: out of resource: triton_mm Required: 131072 Hardware limit:101376 Reducing block sizes or `num_stages` may help.. 
2025-08-14T22:58:05.9137431Z E0814 22:58:05.912000 10931 site-packages/torch/_inductor/select_algorithm.py:2852] [0/0] Ignoring this choice.
2025-08-14T22:58:06.0050510Z E0814 22:58:06.004000 10931 site-packages/torch/_inductor/select_algorithm.py:2852] [0/0] Runtime error during autotuning: 
2025-08-14T22:58:06.0052784Z E0814 22:58:06.004000 10931 site-packages/torch/_inductor/select_algorithm.py:2852] [0/0] No valid triton configs. OutOfMemoryError: out of resource: triton_mm Required: 147456 Hardware limit:101376 Reducing block sizes or `num_stages` may help.. 
2025-08-14T22:58:06.0054879Z E0814 22:58:06.004000 10931 site-packages/torch/_inductor/select_algorithm.py:2852] [0/0] Ignoring this choice.
2025-08-14T22:58:06.1596790Z E0814 22:58:06.158000 10931 site-packages/torch/_inductor/select_algorithm.py:2852] [0/0] Runtime error during autotuning: 
2025-08-14T22:58:06.1599014Z E0814 22:58:06.158000 10931 site-packages/torch/_inductor/select_algorithm.py:2852] [0/0] No valid triton configs. OutOfMemoryError: out of resource: triton_mm Required: 131072 Hardware limit:101376 Reducing block sizes or `num_stages` may help.. 
2025-08-14T22:58:06.1601073Z E0814 22:58:06.158000 10931 site-packages/torch/_inductor/select_algorithm.py:2852] [0/0] Ignoring this choice.
2025-08-14T22:58:06.1601964Z Autotune Choices Stats:
2025-08-14T22:58:06.1603615Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_828", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8", "best_time": 0.20582400262355804, "best_triton_pos": 0}
2025-08-14T22:58:06.1605375Z AUTOTUNE mm(4096x1280, 1280x1280)
2025-08-14T22:58:06.1605804Z strides: [1280, 1], [1, 1280]
2025-08-14T22:58:06.1606254Z dtypes: torch.float16, torch.float16
2025-08-14T22:58:06.1607376Z   triton_mm_828 0.2058 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8
2025-08-14T22:58:06.1609142Z   triton_mm_832 0.2058 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8
2025-08-14T22:58:06.1610879Z   triton_mm_834 0.2068 ms 99.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4
2025-08-14T22:58:06.1612717Z   triton_mm_824 0.2079 ms 99.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4
2025-08-14T22:58:06.1614417Z   triton_mm_827 0.2098 ms 98.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4
2025-08-14T22:58:06.1616175Z   triton_mm_831 0.2109 ms 97.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4
2025-08-14T22:58:06.1617268Z   mm 0.2130 ms 96.6% 
2025-08-14T22:58:06.1618259Z   triton_mm_829 0.2150 ms 95.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4
2025-08-14T22:58:06.1619969Z   triton_mm_825 0.2161 ms 95.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8
2025-08-14T22:58:06.1621713Z   triton_mm_835 0.2202 ms 93.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4
2025-08-14T22:58:06.1623247Z SingleProcess AUTOTUNE benchmarking takes 0.5402 seconds and 0.0002 seconds precompiling for 20 choices
2025-08-14T22:58:08.5220483Z Autotune Choices Stats:
2025-08-14T22:58:08.5222779Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.4034560024738312, "best_triton_pos": 1, "best_triton_time": 0.9021440148353577, "best_triton_kernel": "triton_convolution2d_3", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=16, KERNEL_W=16, PADDING_H=0, PADDING_W=0, STRIDE_H=16, STRIDE_W=16, UNROLL=False, num_stages=2, num_warps=8"}
2025-08-14T22:58:08.5228729Z AUTOTUNE convolution(1x3x1024x1024, 1280x3x16x16)
2025-08-14T22:58:08.5229210Z strides: [3145728, 1048576, 1024, 1], [768, 256, 16, 1]
2025-08-14T22:58:08.5229564Z dtypes: torch.float16, torch.float16
2025-08-14T22:58:08.5229875Z   convolution 0.4035 ms 100.0% 
2025-08-14T22:58:08.5230676Z   triton_convolution2d_3 0.9021 ms 44.7% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=16, KERNEL_W=16, PADDING_H=0, PADDING_W=0, STRIDE_H=16, STRIDE_W=16, UNROLL=False, num_stages=2, num_warps=8
2025-08-14T22:58:08.5232029Z   triton_convolution2d_6 1.0516 ms 38.4% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=16, KERNEL_W=16, PADDING_H=0, PADDING_W=0, STRIDE_H=16, STRIDE_W=16, UNROLL=False, num_stages=2, num_warps=8
2025-08-14T22:58:08.5233347Z   triton_convolution2d_1 1.0926 ms 36.9% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=16, KERNEL_W=16, PADDING_H=0, PADDING_W=0, STRIDE_H=16, STRIDE_W=16, UNROLL=False, num_stages=2, num_warps=4
2025-08-14T22:58:08.5234660Z   triton_convolution2d_5 1.1438 ms 35.3% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=16, KERNEL_W=16, PADDING_H=0, PADDING_W=0, STRIDE_H=16, STRIDE_W=16, UNROLL=False, num_stages=2, num_warps=8
2025-08-14T22:58:08.5235969Z   triton_convolution2d_0 1.1858 ms 34.0% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=16, KERNEL_W=16, PADDING_H=0, PADDING_W=0, STRIDE_H=16, STRIDE_W=16, UNROLL=False, num_stages=2, num_warps=4
2025-08-14T22:58:08.5237280Z   triton_convolution2d_4 1.5165 ms 26.6% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=16, KERNEL_W=16, PADDING_H=0, PADDING_W=0, STRIDE_H=16, STRIDE_W=16, UNROLL=False, num_stages=2, num_warps=4
2025-08-14T22:58:08.5238577Z   triton_convolution2d_2 3.9260 ms 10.3% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=16, KERNEL_W=16, PADDING_H=0, PADDING_W=0, STRIDE_H=16, STRIDE_W=16, UNROLL=False, num_stages=1, num_warps=8
2025-08-14T22:58:08.5239629Z SingleProcess AUTOTUNE benchmarking takes 0.4400 seconds and 0.0002 seconds precompiling for 8 choices
2025-08-14T22:58:08.8562105Z E0814 22:58:08.855000 10931 site-packages/torch/_inductor/select_algorithm.py:2852] [0/0] Runtime error during autotuning: 
2025-08-14T22:58:08.8563420Z E0814 22:58:08.855000 10931 site-packages/torch/_inductor/select_algorithm.py:2852] [0/0] No valid triton configs. OutOfMemoryError: out of resource: triton_mm Required: 131072 Hardware limit:101376 Reducing block sizes or `num_stages` may help.. 
2025-08-14T22:58:08.8564678Z E0814 22:58:08.855000 10931 site-packages/torch/_inductor/select_algorithm.py:2852] [0/0] Ignoring this choice.
2025-08-14T22:58:08.9628795Z E0814 22:58:08.962000 10931 site-packages/torch/_inductor/select_algorithm.py:2852] [0/0] Runtime error during autotuning: 
2025-08-14T22:58:08.9630084Z E0814 22:58:08.962000 10931 site-packages/torch/_inductor/select_algorithm.py:2852] [0/0] No valid triton configs. OutOfMemoryError: out of resource: triton_mm Required: 147456 Hardware limit:101376 Reducing block sizes or `num_stages` may help.. 
2025-08-14T22:58:08.9631307Z E0814 22:58:08.962000 10931 site-packages/torch/_inductor/select_algorithm.py:2852] [0/0] Ignoring this choice.
2025-08-14T22:58:09.1421586Z E0814 22:58:09.141000 10931 site-packages/torch/_inductor/select_algorithm.py:2852] [0/0] Runtime error during autotuning: 
2025-08-14T22:58:09.1422895Z E0814 22:58:09.141000 10931 site-packages/torch/_inductor/select_algorithm.py:2852] [0/0] No valid triton configs. OutOfMemoryError: out of resource: triton_mm Required: 131072 Hardware limit:101376 Reducing block sizes or `num_stages` may help.. 
2025-08-14T22:58:09.1424602Z E0814 22:58:09.141000 10931 site-packages/torch/_inductor/select_algorithm.py:2852] [0/0] Ignoring this choice.
2025-08-14T22:58:09.1425155Z Autotune Choices Stats:
2025-08-14T22:58:09.1426154Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_17", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8", "best_time": 0.7290880084037781, "best_triton_pos": 0}
2025-08-14T22:58:09.1431043Z AUTOTUNE mm(4900x1280, 1280x3840)
2025-08-14T22:58:09.1431400Z strides: [1280, 1], [1, 1280]
2025-08-14T22:58:09.1431734Z dtypes: torch.float16, torch.float16
2025-08-14T22:58:09.1432435Z   triton_mm_17 0.7291 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8
2025-08-14T22:58:09.1433508Z   triton_mm_16 0.7330 ms 99.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4
2025-08-14T22:58:09.1434560Z   triton_mm_21 0.7506 ms 97.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8
2025-08-14T22:58:09.1435595Z   triton_mm_13 0.7516 ms 97.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4
2025-08-14T22:58:09.1436635Z   triton_mm_23 0.7516 ms 97.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4
2025-08-14T22:58:09.1437676Z   triton_mm_18 0.7619 ms 95.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4
2025-08-14T22:58:09.1438717Z   triton_mm_20 0.7639 ms 95.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4
2025-08-14T22:58:09.1439754Z   triton_mm_14 0.7680 ms 94.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8
2025-08-14T22:58:09.1440782Z   triton_mm_12 0.7844 ms 93.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4
2025-08-14T22:58:09.1441815Z   triton_mm_24 0.8028 ms 90.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4
2025-08-14T22:58:09.1442732Z SingleProcess AUTOTUNE benchmarking takes 0.6187 seconds and 0.0002 seconds precompiling for 20 choices
2025-08-14T22:58:09.3618620Z Autotune Choices Stats:
2025-08-14T22:58:09.3619778Z {"num_choices": 17, "num_triton_choices": 16, "best_kernel": "triton_bmm_27", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2", "best_time": 0.04806400090456009, "best_triton_pos": 0}
2025-08-14T22:58:09.3628559Z AUTOTUNE bmm(14x5600x80, 14x80x14)
2025-08-14T22:58:09.3628981Z strides: [448000, 80, 1], [1152, 1, 80]
2025-08-14T22:58:09.3629294Z dtypes: torch.float16, torch.float16
2025-08-14T22:58:09.3630000Z   triton_bmm_27 0.0481 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2
2025-08-14T22:58:09.3631074Z   triton_bmm_30 0.0481 ms 99.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4
2025-08-14T22:58:09.3632435Z   triton_bmm_33 0.0481 ms 99.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4
2025-08-14T22:58:09.3633476Z   triton_bmm_36 0.0481 ms 99.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4
2025-08-14T22:58:09.3634523Z   triton_bmm_37 0.0481 ms 99.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4
2025-08-14T22:58:09.3635567Z   triton_bmm_28 0.0492 ms 97.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2
2025-08-14T22:58:09.3636607Z   triton_bmm_29 0.0492 ms 97.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4
2025-08-14T22:58:09.3637660Z   triton_bmm_32 0.0492 ms 97.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4
2025-08-14T22:58:09.3638695Z   triton_bmm_38 0.0492 ms 97.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8
2025-08-14T22:58:09.3639745Z   triton_bmm_40 0.0492 ms 97.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4
2025-08-14T22:58:09.3640657Z SingleProcess AUTOTUNE benchmarking takes 0.2191 seconds and 0.0002 seconds precompiling for 17 choices
2025-08-14T22:58:09.5819519Z Autotune Choices Stats:
2025-08-14T22:58:09.5821612Z {"num_choices": 17, "num_triton_choices": 16, "best_kernel": "triton_bmm_52", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4", "best_time": 0.04915200173854828, "best_triton_pos": 0}
2025-08-14T22:58:09.5828347Z AUTOTUNE bmm(14x5600x80, 14x80x14)
2025-08-14T22:58:09.5828730Z strides: [80, 1120, 1], [1152, 1, 80]
2025-08-14T22:58:09.5829066Z dtypes: torch.float16, torch.float16
2025-08-14T22:58:09.5829770Z   triton_bmm_52 0.0492 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4
2025-08-14T22:58:09.5830834Z   triton_bmm_43 0.0502 ms 98.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2
2025-08-14T22:58:09.5831877Z   triton_bmm_44 0.0502 ms 98.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2
2025-08-14T22:58:09.5832918Z   triton_bmm_45 0.0502 ms 98.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4
2025-08-14T22:58:09.5833971Z   triton_bmm_46 0.0502 ms 98.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4
2025-08-14T22:58:09.5835017Z   triton_bmm_48 0.0502 ms 98.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4
2025-08-14T22:58:09.5836057Z   triton_bmm_49 0.0502 ms 98.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4
2025-08-14T22:58:09.5837096Z   triton_bmm_50 0.0502 ms 98.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4
2025-08-14T22:58:09.5838388Z   triton_bmm_51 0.0502 ms 98.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4
2025-08-14T22:58:09.5839437Z   triton_bmm_53 0.0502 ms 98.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4
2025-08-14T22:58:09.5840352Z SingleProcess AUTOTUNE benchmarking takes 0.2193 seconds and 0.0002 seconds precompiling for 17 choices
2025-08-14T22:58:09.8883301Z E0814 22:58:09.887000 10931 site-packages/torch/_inductor/select_algorithm.py:2852] [0/0] Runtime error during autotuning: 
2025-08-14T22:58:09.8884917Z E0814 22:58:09.887000 10931 site-packages/torch/_inductor/select_algorithm.py:2852] [0/0] No valid triton configs. OutOfMemoryError: out of resource: triton_mm Required: 131072 Hardware limit:101376 Reducing block sizes or `num_stages` may help.. 
2025-08-14T22:58:09.8886141Z E0814 22:58:09.887000 10931 site-packages/torch/_inductor/select_algorithm.py:2852] [0/0] Ignoring this choice.
2025-08-14T22:58:09.9909555Z E0814 22:58:09.990000 10931 site-packages/torch/_inductor/select_algorithm.py:2852] [0/0] Runtime error during autotuning: 
2025-08-14T22:58:09.9910837Z E0814 22:58:09.990000 10931 site-packages/torch/_inductor/select_algorithm.py:2852] [0/0] No valid triton configs. OutOfMemoryError: out of resource: triton_mm Required: 147456 Hardware limit:101376 Reducing block sizes or `num_stages` may help.. 
2025-08-14T22:58:09.9912052Z E0814 22:58:09.990000 10931 site-packages/torch/_inductor/select_algorithm.py:2852] [0/0] Ignoring this choice.
2025-08-14T22:58:10.1609359Z E0814 22:58:10.160000 10931 site-packages/torch/_inductor/select_algorithm.py:2852] [0/0] Runtime error during autotuning: 
2025-08-14T22:58:10.1610666Z E0814 22:58:10.160000 10931 site-packages/torch/_inductor/select_algorithm.py:2852] [0/0] No valid triton configs. OutOfMemoryError: out of resource: triton_mm Required: 131072 Hardware limit:101376 Reducing block sizes or `num_stages` may help.. 
2025-08-14T22:58:10.1611971Z E0814 22:58:10.160000 10931 site-packages/torch/_inductor/select_algorithm.py:2852] [0/0] Ignoring this choice.
2025-08-14T22:58:10.1612521Z Autotune Choices Stats:
2025-08-14T22:58:10.1613516Z {"num_choices": 20, "num_triton_choices": 19, "best_kernel": "triton_mm_64", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4", "best_time": 0.2549760043621063, "best_triton_pos": 0}
2025-08-14T22:58:10.1619868Z AUTOTUNE mm(4900x1280, 1280x1280)
2025-08-14T22:58:10.1620265Z strides: [1280, 1], [1, 1280]
2025-08-14T22:58:10.1620651Z dtypes: torch.float16, torch.float16
2025-08-14T22:58:10.1621481Z   triton_mm_64 0.2550 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4
2025-08-14T22:58:10.1622579Z   triton_mm_72 0.2550 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8
2025-08-14T22:58:10.1623642Z   triton_mm_67 0.2560 ms 99.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4
2025-08-14T22:58:10.1624841Z   triton_mm_68 0.2560 ms 99.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8
2025-08-14T22:58:10.1625912Z   triton_mm_74 0.2570 ms 99.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4
2025-08-14T22:58:10.1627000Z   triton_mm_65 0.2611 ms 97.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8
2025-08-14T22:58:10.1628315Z   triton_mm_71 0.2611 ms 97.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4
2025-08-14T22:58:10.1629371Z   triton_mm_69 0.2642 ms 96.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4
2025-08-14T22:58:10.1630404Z   triton_mm_63 0.2652 ms 96.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4
2025-08-14T22:58:10.1631442Z   triton_mm_75 0.2734 ms 93.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4
2025-08-14T22:58:10.1632364Z SingleProcess AUTOTUNE benchmarking takes 0.5785 seconds and 0.0002 seconds precompiling for 20 choices
2025-08-14T22:58:10.5322527Z E0814 22:58:10.531000 10931 site-packages/torch/_inductor/select_algorithm.py:2852] [0/0] Runtime error during autotuning: 
2025-08-14T22:58:10.5324170Z E0814 22:58:10.531000 10931 site-packages/torch/_inductor/select_algorithm.py:2852] [0/0] No valid triton configs. OutOfMemoryError: out of resource: triton_mm Required: 131072 Hardware limit:101376 Reducing block sizes or `num_stages` may help.. 
2025-08-14T22:58:10.5325418Z E0814 22:58:10.531000 10931 site-packages/torch/_inductor/select_algorithm.py:2852] [0/0] Ignoring this choice.
2025-08-14T22:58:10.6378822Z E0814 22:58:10.637000 10931 site-packages/torch/_inductor/select_algorithm.py:2852] [0/0] Runtime error during autotuning: 
2025-08-14T22:58:10.6380283Z E0814 22:58:10.637000 10931 site-packages/torch/_inductor/select_algorithm.py:2852] [0/0] No valid triton configs. OutOfMemoryError: out of resource: triton_mm Required: 147456 Hardware limit:101376 Reducing block sizes or `num_stages` may help.. 
2025-08-14T22:58:10.6381523Z E0814 22:58:10.637000 10931 site-packages/torch/_inductor/select_algorithm.py:2852] [0/0] Ignoring this choice.
2025-08-14T22:58:10.8138501Z E0814 22:58:10.813000 10931 site-packages/torch/_inductor/select_algorithm.py:2852] [0/0] Runtime error during autotuning: 
2025-08-14T22:58:10.8139951Z E0814 22:58:10.813000 10931 site-packages/torch/_inductor/select_algorithm.py:2852] [0/0] No valid triton configs. OutOfMemoryError: out of resource: triton_mm Required: 131072 Hardware limit:101376 Reducing block sizes or `num_stages` may help.. 
2025-08-14T22:58:10.8141179Z E0814 22:58:10.813000 10931 site-packages/torch/_inductor/select_algorithm.py:2852] [0/0] Ignoring this choice.
2025-08-14T22:58:10.8141720Z Autotune Choices Stats:
2025-08-14T22:58:10.8142719Z {"num_choices": 21, "num_triton_choices": 19, "best_kernel": "triton_mm_777", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8", "best_time": 0.6082559823989868, "best_triton_pos": 0}
2025-08-14T22:58:10.8149644Z AUTOTUNE addmm(4096x3840, 4096x1280, 1280x3840)
2025-08-14T22:58:10.8150111Z strides: [0, 1], [1280, 1], [1, 1280]
2025-08-14T22:58:10.8150569Z dtypes: torch.float16, torch.float16, torch.float16
2025-08-14T22:58:10.8151433Z   triton_mm_777 0.6083 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8
2025-08-14T22:58:10.8152686Z   triton_mm_779 0.6083 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4
2025-08-14T22:58:10.8153928Z   triton_mm_773 0.6134 ms 99.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8
2025-08-14T22:58:10.8154973Z   triton_mm_776 0.6144 ms 99.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4
2025-08-14T22:58:10.8156325Z   triton_mm_772 0.6216 ms 97.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4
2025-08-14T22:58:10.8157362Z   triton_mm_769 0.6277 ms 96.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4
2025-08-14T22:58:10.8158400Z   triton_mm_774 0.6328 ms 96.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4
2025-08-14T22:58:10.8159069Z   bias_addmm 0.6461 ms 94.1% 
2025-08-14T22:58:10.8159703Z   triton_mm_770 0.6461 ms 94.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8
2025-08-14T22:58:10.8160742Z   triton_mm_780 0.6615 ms 92.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4
2025-08-14T22:58:10.8161670Z SingleProcess AUTOTUNE benchmarking takes 0.6361 seconds and 0.0002 seconds precompiling for 21 choices
2025-08-14T22:58:11.0573110Z Autotune Choices Stats:
2025-08-14T22:58:11.0574381Z {"num_choices": 19, "num_triton_choices": 18, "best_kernel": "triton_bmm_784", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8", "best_time": 0.04505600035190582, "best_triton_pos": 0}
2025-08-14T22:58:11.0584317Z AUTOTUNE bmm(64x1024x80, 64x80x64)
2025-08-14T22:58:11.0584754Z strides: [81920, 80, 1], [5120, 1, 80]
2025-08-14T22:58:11.0585167Z dtypes: torch.float16, torch.float16
2025-08-14T22:58:11.0585930Z   triton_bmm_784 0.0451 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8
2025-08-14T22:58:11.0587022Z   triton_bmm_783 0.0452 ms 99.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4
2025-08-14T22:58:11.0588091Z   triton_bmm_793 0.0459 ms 98.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4
2025-08-14T22:58:11.0589147Z   triton_bmm_789 0.0461 ms 97.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8
2025-08-14T22:58:11.0590209Z   triton_bmm_790 0.0461 ms 97.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4
2025-08-14T22:58:11.0591269Z   triton_bmm_791 0.0461 ms 97.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4
2025-08-14T22:58:11.0592325Z   triton_bmm_792 0.0461 ms 97.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8
2025-08-14T22:58:11.0593390Z   triton_bmm_794 0.0461 ms 97.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4
2025-08-14T22:58:11.0594460Z   triton_bmm_799 0.0461 ms 97.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8
2025-08-14T22:58:11.0595528Z   triton_bmm_786 0.0470 ms 95.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4
2025-08-14T22:58:11.0596506Z SingleProcess AUTOTUNE benchmarking takes 0.2429 seconds and 0.0002 seconds precompiling for 19 choices
2025-08-14T22:58:11.3041532Z Autotune Choices Stats:
2025-08-14T22:58:11.3044609Z {"num_choices": 9, "num_triton_choices": 7, "best_kernel": "triton_convolution2d_3483", "best_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4", "best_time": 0.062463998794555664, "best_triton_pos": 0}
2025-08-14T22:58:11.3052299Z AUTOTUNE convolution(1x1280x64x64, 256x1280x1x1)
2025-08-14T22:58:11.3052812Z strides: [5242880, 4096, 64, 1], [1280, 1, 1, 1]
2025-08-14T22:58:11.3053264Z dtypes: torch.float16, torch.float16
2025-08-14T22:58:11.3054089Z   triton_convolution2d_3483 0.0625 ms 100.0% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4
2025-08-14T22:58:11.3055407Z   triton_convolution2d_3482 0.0727 ms 85.9% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8
2025-08-14T22:58:11.3056739Z   triton_convolution2d_3485 0.0748 ms 83.5% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8
2025-08-14T22:58:11.3058043Z   triton_convolution2d_3484 0.0768 ms 81.3% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=8
2025-08-14T22:58:11.3059341Z   triton_convolution2d_3480 0.0778 ms 80.3% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4
2025-08-14T22:58:11.3060638Z   triton_convolution2d_3479 0.0891 ms 70.1% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=2, num_warps=4
2025-08-14T22:58:11.3061452Z   convolution 0.0911 ms 68.5% 
2025-08-14T22:58:11.3062231Z   triton_convolution2d_3481 0.1547 ms 40.4% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=1, KERNEL_W=1, PADDING_H=0, PADDING_W=0, STRIDE_H=1, STRIDE_W=1, UNROLL=True, num_stages=1, num_warps=8
2025-08-14T22:58:11.3063036Z   conv1x1_via_mm 0.3994 ms 15.6% 
2025-08-14T22:58:11.3063544Z SingleProcess AUTOTUNE benchmarking takes 0.1773 seconds and 0.0002 seconds precompiling for 9 choices
2025-08-14T22:58:11.5615870Z Autotune Choices Stats:
2025-08-14T22:58:11.5617364Z {"num_choices": 8, "num_triton_choices": 7, "best_kernel": "convolution", "best_time": 0.11875200271606445, "best_triton_pos": 1, "best_triton_time": 0.2027519941329956, "best_triton_kernel": "triton_convolution2d_3492", "best_triton_kernel_desc": "ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8"}
2025-08-14T22:58:11.5628292Z AUTOTUNE convolution(1x256x64x64, 256x256x3x3)
2025-08-14T22:58:11.5628744Z strides: [1048576, 4096, 64, 1], [2304, 9, 3, 1]
2025-08-14T22:58:11.5629073Z dtypes: torch.float16, torch.float16
2025-08-14T22:58:11.5629374Z   convolution 0.1188 ms 100.0% 
2025-08-14T22:58:11.5630161Z   triton_convolution2d_3492 0.2028 ms 58.6% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8
2025-08-14T22:58:11.5631467Z   triton_convolution2d_3487 0.2304 ms 51.5% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=256, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4
2025-08-14T22:58:11.5632778Z   triton_convolution2d_3488 0.3369 ms 35.2% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=1024, BLOCK_N=16, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=1, num_warps=8
2025-08-14T22:58:11.5634411Z   triton_convolution2d_3489 0.3410 ms 34.8% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8
2025-08-14T22:58:11.5635715Z   triton_convolution2d_3490 0.3564 ms 33.3% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4
2025-08-14T22:58:11.5637015Z   triton_convolution2d_3491 0.4311 ms 27.5% ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=8
2025-08-14T22:58:11.5638311Z   triton_convolution2d_3486 0.4362 ms 27.2% ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=256, GROUPS=1, KERNEL_H=3, KERNEL_W=3, PADDING_H=1, PADDING_W=1, STRIDE_H=1, STRIDE_W=1, UNROLL=False, num_stages=2, num_warps=4
2025-08-14T22:58:11.5639355Z SingleProcess AUTOTUNE benchmarking takes 0.2570 seconds and 0.0002 seconds precompiling for 8 choices
2025-08-14T22:58:51.3898654Z Warning: Custom flash attention kernels were written specifically for A100.
2025-08-14T22:58:51.3899401Z We will try to read previously created kernel configurations from /var/lib/jenkins/workspace/flash_4_configs.p.
2025-08-14T22:58:51.3900084Z You can disable this kernel by setting SEGMENT_ANYTHING_FAST_USE_FLASH_4=0
2025-08-14T22:58:51.3901243Z key  (torch.Size([1, 16, 4096, 128]), torch.Size([1, 16, 4096, 128]), torch.Size([1, 16, 4096, 128]), torch.Size([1, 16, 4096, 128]), torch.Size([1, 16, 4096, 128]), (8388608, 524288, 128, 1), (8388608, 524288, 128, 1), (8388608, 524288, 128, 1), (8388608, 524288, 128, 1), (8388608, 524288, 128, 1))  not found. Running autotune. This might take a while.
2025-08-14T22:58:51.3902303Z all configs len:  60
2025-08-14T22:58:54.9730625Z (64, 64, 1, 1)  : 26635.112399981153
2025-08-14T22:58:56.4142657Z (64, 64, 2, 1)  : 6794.908733331794
2025-08-14T22:58:57.8867787Z (64, 64, 2, 2)  : 6715.288966673446
2025-08-14T22:58:59.1199514Z (64, 64, 4, 1)  : 2600.924190001024
2025-08-14T22:59:00.5342580Z (64, 64, 4, 2)  : 3383.8620899996386
2025-08-14T22:59:01.8902388Z (64, 64, 4, 3)  : 2977.8897200003485
2025-08-14T22:59:02.6589114Z (64, 64, 4, 4)  : None
2025-08-14T22:59:03.9583305Z (64, 64, 8, 1)  : 3964.023949999955
2025-08-14T22:59:05.2456315Z (64, 64, 8, 2)  : 3843.7202299996898
2025-08-14T22:59:06.4223105Z (64, 64, 8, 3)  : 3230.088230000092
2025-08-14T22:59:06.9323422Z (64, 64, 8, 4)  : None
2025-08-14T22:59:07.4495988Z (64, 64, 8, 5)  : None
2025-08-14T22:59:07.9952155Z (64, 64, 8, 6)  : None
2025-08-14T22:59:08.5497542Z (64, 64, 8, 7)  : None
2025-08-14T22:59:09.1319766Z (64, 64, 8, 8)  : None
2025-08-14T22:59:14.9622573Z (64, 128, 1, 1)  : 71030.57266658652
2025-08-14T22:59:17.1267501Z (64, 128, 2, 1)  : 10438.940250014639
2025-08-14T22:59:19.3804636Z (64, 128, 2, 2)  : 10594.88115001841
2025-08-14T22:59:21.1324077Z (64, 128, 4, 1)  : 3982.457380002416
2025-08-14T22:59:22.3707720Z (64, 128, 4, 2)  : 4461.394139998447
2025-08-14T22:59:23.3785023Z (64, 128, 4, 3)  : None
2025-08-14T22:59:24.4762495Z (64, 128, 4, 4)  : None
2025-08-14T22:59:25.7840040Z (64, 128, 8, 1)  : 3380.1856299987776
2025-08-14T22:59:27.0729180Z (64, 128, 8, 2)  : 3203.983089997564
2025-08-14T22:59:27.7109098Z (64, 128, 8, 3)  : None
2025-08-14T22:59:28.3818677Z (64, 128, 8, 4)  : None
2025-08-14T22:59:29.0797678Z (64, 128, 8, 5)  : None
2025-08-14T22:59:29.8369056Z (64, 128, 8, 6)  : None
2025-08-14T22:59:30.6337255Z (64, 128, 8, 7)  : None
2025-08-14T22:59:31.4747812Z (64, 128, 8, 8)  : None
2025-08-14T22:59:39.0639974Z (128, 64, 1, 1)  : 66840.7279999883
2025-08-14T22:59:42.1163320Z (128, 64, 2, 1)  : 23864.32760004027
2025-08-14T22:59:45.5195061Z (128, 64, 2, 2)  : 35628.78099996851
2025-08-14T22:59:46.9189962Z (128, 64, 4, 1)  : 6335.1760500040655
2025-08-14T22:59:48.4941372Z (128, 64, 4, 2)  : 15177.576349992705
2025-08-14T22:59:49.6228460Z (128, 64, 4, 3)  : None
2025-08-14T22:59:50.7970900Z (128, 64, 4, 4)  : None
2025-08-14T22:59:52.0398268Z (128, 64, 8, 1)  : 2791.8957500014585
2025-08-14T22:59:53.0315875Z (128, 64, 8, 2)  : 8417.855800007603
2025-08-14T22:59:54.4148729Z (128, 64, 8, 3)  : 3312.08011000399
2025-08-14T22:59:55.1034960Z (128, 64, 8, 4)  : None
2025-08-14T22:59:55.8056051Z (128, 64, 8, 5)  : None
2025-08-14T22:59:56.5363007Z (128, 64, 8, 6)  : None
2025-08-14T22:59:57.2803595Z (128, 64, 8, 7)  : None
2025-08-14T22:59:58.0306398Z (128, 64, 8, 8)  : None
2025-08-14T23:00:13.7720890Z (128, 128, 1, 1)  : 88520.93000011034
2025-08-14T23:00:19.5021430Z (128, 128, 2, 1)  : 105780.6644998891
2025-08-14T23:00:24.9773315Z (128, 128, 2, 2)  : 46461.380399978225
2025-08-14T23:00:26.6610963Z (128, 128, 4, 1)  : None
2025-08-14T23:00:28.5469565Z (128, 128, 4, 2)  : None
2025-08-14T23:00:30.5137512Z (128, 128, 4, 3)  : None
2025-08-14T23:00:32.5736766Z (128, 128, 4, 4)  : None
2025-08-14T23:00:33.8977657Z (128, 128, 8, 1)  : 6651.6847499883625
2025-08-14T23:00:35.8390912Z (128, 128, 8, 2)  : 38930.24700000751
2025-08-14T23:00:36.9767143Z (128, 128, 8, 3)  : None
2025-08-14T23:00:38.1447134Z (128, 128, 8, 4)  : None
2025-08-14T23:00:39.3529918Z (128, 128, 8, 5)  : None
2025-08-14T23:00:40.6092770Z (128, 128, 8, 6)  : None
2025-08-14T23:00:41.9152576Z (128, 128, 8, 7)  : None
2025-08-14T23:00:43.2442716Z (128, 128, 8, 8)  : None
2025-08-14T23:00:43.2443783Z Found best_config  (64, 64, 4, 1)  with time  2600.924190001024  for key  (torch.Size([1, 16, 4096, 128]), torch.Size([1, 16, 4096, 128]), torch.Size([1, 16, 4096, 128]), torch.Size([1, 16, 4096, 128]), torch.Size([1, 16, 4096, 128]), (8388608, 524288, 128, 1), (8388608, 524288, 128, 1), (8388608, 524288, 128, 1), (8388608, 524288, 128, 1), (8388608, 524288, 128, 1))
2025-08-14T23:00:43.2445022Z Warning: Custom flash attention kernels were written specifically for A100.
2025-08-14T23:00:43.2445650Z Storing configs for NVIDIA A10G locally under /var/lib/jenkins/workspace/flash_4_configs.p
2025-08-14T23:00:43.2446251Z Saving best configs to file /var/lib/jenkins/workspace/flash_4_configs.p
2025-08-14T23:00:50.7779234Z 
2025-08-14T23:00:50.7779652Z loading model: 0it [03:40, ?it/s]
2025-08-14T23:00:50.7830456Z cuda eval  sam_fast                           
2025-08-14T23:01:26.1015262Z Autotune Choices Stats:
2025-08-14T23:01:26.1018543Z {"num_choices": 2, "num_triton_choices": 0, "best_kernel": "bias_addmm", "best_time": 85.91769409179688}
2025-08-14T23:01:26.1028546Z AUTOTUNE addmm(4096x3840, 4096x1280, 1280x3840)
2025-08-14T23:01:26.1028976Z strides: [0, 1], [1280, 1], [1, 1280]
2025-08-14T23:01:26.1029380Z dtypes: torch.float64, torch.float64, torch.float64
2025-08-14T23:01:26.1029739Z   bias_addmm 85.9177 ms 100.0% 
2025-08-14T23:01:26.1030012Z   addmm 86.2618 ms 99.6% 
2025-08-14T23:01:26.1030503Z SingleProcess AUTOTUNE benchmarking takes 1.2329 seconds and 0.0002 seconds precompiling for 2 choices
2025-08-14T23:04:30.0618661Z Compilation time (from dynamo_timed): 56.929659137
2025-08-14T23:04:30.0619032Z pass
2025-08-14T23:04:30.1019060Z TIMING: _recursive_pre_grad_passes:0.02698 pad_mm_benchmark:0.67322 _recursive_joint_graph_passes:2.54678 _recursive_post_grad_passes:3.47211 async_compile.wait:2.41792 code_gen:17.15355 inductor_compile:30.12708 backend_compile:46.13029 gc:0.00093 entire_frame_compile:56.92966 cudagraphify.get_container:0.02833 CachingAutotuner.benchmark_all_configs:1.89377 CUDAGraphNode.record:0.0438 total_wall_time:56.92966
2025-08-14T23:04:30.1021136Z STATS: call_* op count: 6495 | FakeTensorMode.__torch_dispatch__:242369 | FakeTensor.__torch_dispatch__:85355 | ProxyTorchDispatchMode.__torch_dispatch__:79811
2025-08-14T23:04:30.1021955Z Dynamo produced 0 graphs covering 257 ops with 0 graph breaks (0 unique)
2025-08-14T23:04:41.2020083Z 
2025-08-14T23:04:41.4085856Z loading model: 0it [00:00, ?it/s]Downloading: "https://download.pytorch.org/models/shufflenetv2_x1-5666bf0f80.pth" to /var/lib/jenkins/.cache/torch/hub/checkpoints/shufflenetv2_x1-5666bf0f80.pth
2025-08-14T23:04:41.4256835Z 
2025-08-14T23:04:41.4257136Z 
2025-08-14T23:04:41.4569458Z   0% 0.00/8.79M [00:00<?, ?B/s]
2025-08-14T23:04:41.4569766Z 100% 8.79M/8.79M [00:00<00:00, 297MB/s]
2025-08-14T23:04:42.1641904Z 
2025-08-14T23:04:42.1642339Z loading model: 0it [00:00, ?it/s]
2025-08-14T23:04:42.1712336Z cuda eval  shufflenet_v2_x1_0                 
2025-08-14T23:04:57.8750847Z Compilation time (from dynamo_timed): 13.805031298
2025-08-14T23:04:57.8751236Z pass
2025-08-14T23:04:57.8753675Z TIMING: _recursive_pre_grad_passes:0.00938 pad_mm_benchmark:0.06716 _recursive_joint_graph_passes:0.33264 _recursive_post_grad_passes:0.22352 async_compile.wait:0.03055 code_gen:2.57082 inductor_compile:5.43479 backend_compile:9.95867 gc:0.00188 entire_frame_compile:13.80503 cudagraphify.get_container:0.00206 CUDAGraphNode.record:0.00633 total_wall_time:13.80503
2025-08-14T23:04:57.8755497Z STATS: call_* op count: 271 | FakeTensorMode.__torch_dispatch__:12553 | FakeTensor.__torch_dispatch__:8552 | ProxyTorchDispatchMode.__torch_dispatch__:4744
2025-08-14T23:04:57.8756311Z Dynamo produced 1 graphs covering 271 ops with 0 graph breaks (0 unique)
2025-08-14T23:05:03.6295664Z 
2025-08-14T23:05:03.7259498Z loading model: 0it [00:00, ?it/s]Gym has been unmaintained since 2022 and does not support NumPy 2.0 amongst other critical functionality.
2025-08-14T23:05:03.7260507Z Please upgrade to Gymnasium, the maintained drop-in replacement of Gym, or contact the authors of your software and request that they upgrade.
2025-08-14T23:05:03.7261468Z Users of this version of Gym should be able to simply replace 'import gym' with 'import gymnasium as gym' in the vast majority of cases.
2025-08-14T23:05:03.7262390Z See the migration guide at https://gymnasium.farama.org/introduction/migration_guide/ for additional information.
2025-08-14T23:05:04.6343150Z 
2025-08-14T23:05:04.6343701Z loading model: 0it [00:01, ?it/s]
2025-08-14T23:05:04.6346030Z cuda eval  soft_actor_critic                  
2025-08-14T23:05:07.7654487Z Compilation time (from dynamo_timed): 1.978923985
2025-08-14T23:05:07.7655230Z pass
2025-08-14T23:05:07.7658208Z TIMING: _recursive_pre_grad_passes:0.00464 pad_mm_benchmark:0.17097 _recursive_joint_graph_passes:0.33582 _recursive_post_grad_passes:0.05575 async_compile.precompile:0.29034 async_compile.wait:0.00017 code_gen:0.33695 inductor_compile:0.46351 backend_compile:1.74697 gc:0.00128 entire_frame_compile:1.97892 cudagraphify.get_container:0.00311 CUDAGraphNode.record:0.00213 total_wall_time:1.97892
2025-08-14T23:05:07.7660239Z STATS: call_* op count: 16 | FakeTensorMode.__torch_dispatch__:830 | ProxyTorchDispatchMode.__torch_dispatch__:171 | FakeTensor.__torch_dispatch__:120
2025-08-14T23:05:07.7661024Z Dynamo produced 1 graphs covering 16 ops with 0 graph breaks (0 unique)
2025-08-14T23:05:14.4687450Z 
2025-08-14T23:05:15.9688404Z loading model: 0it [00:00, ?it/s]
2025-08-14T23:05:15.9688778Z loading model: 0it [00:01, ?it/s]
2025-08-14T23:05:15.9759002Z cuda eval  speech_transformer                 
2025-08-14T23:05:25.7101369Z W0814 23:05:25.709000 23435 site-packages/torch/_inductor/utils.py:2236] [7/0_1] DeviceCopy in input program
2025-08-14T23:05:26.6366577Z cudagraph partition due to non gpu ops
2025-08-14T23:05:26.6367011Z cudagraph partition due to non gpu ops
2025-08-14T23:05:26.6367477Z cudagraph partition due to non gpu ops
2025-08-14T23:05:26.6367940Z cudagraph partition due to non gpu ops
2025-08-14T23:05:26.6368392Z cudagraph partition due to non gpu ops
2025-08-14T23:05:26.6368850Z cudagraph partition due to non gpu ops
2025-08-14T23:05:26.6369324Z cudagraph partition due to non gpu ops
2025-08-14T23:05:26.6369792Z cudagraph partition due to DeviceCopy ops
2025-08-14T23:05:26.6660555Z cudagraph partition into 2 partitions
2025-08-14T23:05:51.1259000Z W0814 23:05:51.125000 23435 site-packages/torch/_inductor/utils.py:2236] [13/0_1] DeviceCopy in input program
2025-08-14T23:05:52.6113323Z cudagraph partition due to non gpu ops
2025-08-14T23:05:52.6115983Z cudagraph partition due to non gpu ops
2025-08-14T23:05:52.6116533Z cudagraph partition due to non gpu ops
2025-08-14T23:05:52.6117349Z cudagraph partition due to non gpu ops
2025-08-14T23:05:52.6117869Z cudagraph partition due to non gpu ops
2025-08-14T23:05:52.6118380Z cudagraph partition due to non gpu ops
2025-08-14T23:05:52.6118881Z cudagraph partition due to non gpu ops
2025-08-14T23:05:52.6119387Z cudagraph partition due to non gpu ops
2025-08-14T23:05:52.6119892Z cudagraph partition due to non gpu ops
2025-08-14T23:05:52.6120399Z cudagraph partition due to non gpu ops
2025-08-14T23:05:52.6120905Z cudagraph partition due to non gpu ops
2025-08-14T23:05:52.6121409Z cudagraph partition due to non gpu ops
2025-08-14T23:05:52.6121908Z cudagraph partition due to non gpu ops
2025-08-14T23:05:52.6122417Z cudagraph partition due to DeviceCopy ops
2025-08-14T23:05:52.6632372Z cudagraph partition into 2 partitions
2025-08-14T23:05:56.2697192Z Compilation time (from dynamo_timed): 38.104315861
2025-08-14T23:05:56.2697571Z pass
2025-08-14T23:05:56.2722396Z TIMING: gc:0.01128 entire_frame_compile:38.10432 _recursive_pre_grad_passes:0.02187 _recursive_joint_graph_passes:1.64945 _recursive_post_grad_passes:1.80778 async_compile.precompile:0.11566 async_compile.wait:2.51619 code_gen:11.78576 inductor_compile:16.87427 backend_compile:28.191 cudagraphify.get_container:0.00245 pad_mm_benchmark:0.7139 CachingAutotuner.benchmark_all_configs:0.10322 CUDAGraphNode.record:0.02291 total_wall_time:38.10432
2025-08-14T23:05:56.2725124Z STATS: call_* op count: 1454 | FakeTensorMode.__torch_dispatch__:41514 | FakeTensor.__torch_dispatch__:10197 | ProxyTorchDispatchMode.__torch_dispatch__:17564
2025-08-14T23:05:56.2725957Z Dynamo produced 7 graphs covering 1454 ops with 10 graph breaks (2 unique)
2025-08-14T23:06:02.3507553Z 
2025-08-14T23:06:02.5488315Z loading model: 0it [00:00, ?it/s]Downloading: "https://download.pytorch.org/models/squeezenet1_1-b8a52dc0.pth" to /var/lib/jenkins/.cache/torch/hub/checkpoints/squeezenet1_1-b8a52dc0.pth
2025-08-14T23:06:02.5661039Z 
2025-08-14T23:06:02.5661046Z 
2025-08-14T23:06:02.5808865Z   0% 0.00/4.73M [00:00<?, ?B/s]
2025-08-14T23:06:02.5809187Z 100% 4.73M/4.73M [00:00<00:00, 340MB/s]
2025-08-14T23:06:03.2528383Z 
2025-08-14T23:06:03.2528729Z loading model: 0it [00:00, ?it/s]
2025-08-14T23:06:03.2546294Z cuda eval  squeezenet1_1                      
2025-08-14T23:06:09.8590168Z Compilation time (from dynamo_timed): 5.018481361
2025-08-14T23:06:09.8590666Z pass
2025-08-14T23:06:09.8592295Z TIMING: _recursive_pre_grad_passes:0.00506 _recursive_joint_graph_passes:0.33026 _recursive_post_grad_passes:0.03161 async_compile.wait:0.56755 code_gen:1.82197 inductor_compile:2.29978 backend_compile:4.05112 gc:0.00048 entire_frame_compile:5.01848 cudagraphify.get_container:0.00237 CUDAGraphNode.record:0.00273 total_wall_time:5.01848
2025-08-14T23:06:09.8593941Z STATS: call_* op count: 66 | FakeTensorMode.__torch_dispatch__:2157 | FakeTensor.__torch_dispatch__:660 | ProxyTorchDispatchMode.__torch_dispatch__:550
2025-08-14T23:06:09.8594756Z Dynamo produced 1 graphs covering 66 ops with 0 graph breaks (0 unique)
2025-08-14T23:06:15.3343777Z 
2025-08-14T23:06:17.1729105Z loading model: 0it [00:00, ?it/s]
2025-08-14T23:06:17.1729427Z 
2025-08-14T23:06:17.1729954Z scheduler_config.json:   0% 0.00/345 [00:00<?, ?B/s]
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2025-08-14T23:06:17.2656489Z model_index.json:   0% 0.00/537 [00:00<?, ?B/s]
2025-08-14T23:06:17.2657040Z model_index.json: 100% 537/537 [00:00<00:00, 5.78MB/s]
2025-08-14T23:06:17.3190634Z 
2025-08-14T23:06:17.3203672Z 
2025-08-14T23:06:17.3520938Z Fetching 12 files:   0% 0/12 [00:00<?, ?it/s]
2025-08-14T23:06:17.3521232Z 
2025-08-14T23:06:17.3537093Z 
2025-08-14T23:06:17.3623433Z merges.txt: 0.00B [00:00, ?B/s]
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2025-08-14T23:06:24.0715538Z unet/diffusion_pytorch_model.safetensors:  98% 3.41G/3.46G [00:06<00:00, 706MB/s]
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2025-08-14T23:06:24.0723551Z 
2025-08-14T23:06:24.0726763Z Fetching 12 files:  83% 10/12 [00:06<00:01,  1.82it/s]
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2025-08-14T23:06:26.9143704Z loading model: 0it [00:11, ?it/s]
2025-08-14T23:06:26.9247690Z cuda eval  stable_diffusion_text_encoder      
2025-08-14T23:06:27.1412174Z WARNING:common:fp64 golden ref were not generated for stable_diffusion_text_encoder. Setting accuracy check to cosine
2025-08-14T23:06:49.7548648Z Compilation time (from dynamo_timed): 20.791185537
2025-08-14T23:06:49.7551322Z pass
2025-08-14T23:06:49.7695144Z TIMING: _recursive_pre_grad_passes:0.01207 pad_mm_benchmark:0.36145 _recursive_joint_graph_passes:1.16108 _recursive_post_grad_passes:2.0936 async_compile.wait:0.42632 code_gen:3.61103 inductor_compile:8.62329 backend_compile:15.99367 gc:0.00032 entire_frame_compile:20.79119 cudagraphify.get_container:0.09102 CUDAGraphNode.record:0.01925 total_wall_time:20.79119
2025-08-14T23:06:49.7696907Z STATS: call_* op count: 617 | FakeTensorMode.__torch_dispatch__:28377 | FakeTensor.__torch_dispatch__:11898 | ProxyTorchDispatchMode.__torch_dispatch__:10774
2025-08-14T23:06:49.7698091Z Dynamo produced 1 graphs covering 617 ops with 0 graph breaks (0 unique)
2025-08-14T23:06:56.0431852Z 
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2025-08-14T23:07:01.4717124Z 
2025-08-14T23:07:01.4717646Z loading model: 0it [00:05, ?it/s]
2025-08-14T23:07:01.4911822Z cuda eval  stable_diffusion_unet              
2025-08-14T23:07:01.5179745Z Compilation time (from dynamo_timed): 0
2025-08-14T23:07:01.6808907Z pass_due_to_skip
2025-08-14T23:07:01.6809289Z TIMING: total_wall_time:0
2025-08-14T23:07:01.6809599Z STATS: call_* op count: 0
2025-08-14T23:07:01.6821226Z Dynamo produced 0 graphs covering 0 ops with 0 graph breaks (0 unique)
2025-08-14T23:07:06.1525755Z 
2025-08-14T23:07:07.4129317Z loading model: 0it [00:00, ?it/s]
2025-08-14T23:07:07.4129558Z 
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2025-08-14T23:07:08.3405477Z loading model: 0it [00:02, ?it/s]
2025-08-14T23:07:08.3491612Z cuda eval  timm_efficientnet                  
2025-08-14T23:07:29.0971033Z Compilation time (from dynamo_timed): 15.967978518
2025-08-14T23:07:29.0973482Z pass
2025-08-14T23:07:29.0976475Z TIMING: _recursive_pre_grad_passes:0.00897 pad_mm_benchmark:0.00123 _recursive_joint_graph_passes:0.24011 _recursive_post_grad_passes:0.22867 async_compile.wait:0.05858 code_gen:3.20744 inductor_compile:6.49344 backend_compile:11.21282 gc:0.00066 entire_frame_compile:15.96798 cudagraphify.get_container:0.00205 CUDAGraphNode.record:0.00811 total_wall_time:15.96798
2025-08-14T23:07:29.0978592Z STATS: call_* op count: 239 | FakeTensorMode.__torch_dispatch__:13148 | FakeTensor.__torch_dispatch__:8796 | ProxyTorchDispatchMode.__torch_dispatch__:4941
2025-08-14T23:07:29.0979410Z Dynamo produced 1 graphs covering 239 ops with 0 graph breaks (0 unique)
2025-08-14T23:07:34.9504170Z 
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2025-08-14T23:07:38.2577063Z 
2025-08-14T23:07:38.2577406Z loading model: 0it [00:03, ?it/s]
2025-08-14T23:07:38.2678972Z cuda eval  timm_regnet                        
2025-08-14T23:07:59.5271256Z Compilation time (from dynamo_timed): 17.169180061
2025-08-14T23:07:59.5271621Z pass
2025-08-14T23:07:59.5300486Z TIMING: _recursive_pre_grad_passes:0.01194 pad_mm_benchmark:0.06754 _recursive_joint_graph_passes:0.31094 _recursive_post_grad_passes:0.25435 async_compile.wait:0.02539 code_gen:2.35983 inductor_compile:5.77848 backend_compile:11.31879 gc:0.00103 entire_frame_compile:17.16918 cudagraphify.get_container:0.00265 CUDAGraphNode.record:0.0125 total_wall_time:17.16918
2025-08-14T23:07:59.5303287Z STATS: call_* op count: 319 | FakeTensorMode.__torch_dispatch__:15238 | FakeTensor.__torch_dispatch__:10324 | ProxyTorchDispatchMode.__torch_dispatch__:5814
2025-08-14T23:07:59.5304125Z Dynamo produced 1 graphs covering 319 ops with 0 graph breaks (0 unique)
2025-08-14T23:08:05.3594155Z 
2025-08-14T23:08:06.6161044Z loading model: 0it [00:00, ?it/s]
2025-08-14T23:08:06.6161304Z 
2025-08-14T23:08:06.7222532Z model.safetensors:   0% 0.00/42.6M [00:00<?, ?B/s]
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2025-08-14T23:08:06.8126515Z model.safetensors:  49% 21.0M/42.6M [00:00<00:00, 198MB/s]
2025-08-14T23:08:06.8127172Z model.safetensors: 100% 42.6M/42.6M [00:00<00:00, 217MB/s]
2025-08-14T23:08:07.6816441Z 
2025-08-14T23:08:07.6816792Z loading model: 0it [00:02, ?it/s]
2025-08-14T23:08:07.6851139Z cuda eval  timm_resnest                       
2025-08-14T23:08:19.6956081Z Compilation time (from dynamo_timed): 9.485414633
2025-08-14T23:08:19.6956440Z pass
2025-08-14T23:08:19.6959009Z TIMING: _recursive_pre_grad_passes:0.00649 pad_mm_benchmark:0.00127 _recursive_joint_graph_passes:0.2179 _recursive_post_grad_passes:0.19321 async_compile.wait:0.15578 code_gen:3.32278 inductor_compile:5.02631 backend_compile:7.44383 gc:0.00088 entire_frame_compile:9.48541 cudagraphify.get_container:0.00224 CUDAGraphNode.record:0.00433 total_wall_time:9.48541
2025-08-14T23:08:19.6960811Z STATS: call_* op count: 131 | FakeTensorMode.__torch_dispatch__:6513 | FakeTensor.__torch_dispatch__:3884 | ProxyTorchDispatchMode.__torch_dispatch__:2205
2025-08-14T23:08:19.6961627Z Dynamo produced 1 graphs covering 131 ops with 0 graph breaks (0 unique)
2025-08-14T23:08:25.2360889Z 
2025-08-14T23:08:26.6032324Z loading model: 0it [00:00, ?it/s]
2025-08-14T23:08:26.6032595Z 
2025-08-14T23:08:26.7502793Z model.safetensors:   0% 0.00/88.2M [00:00<?, ?B/s]
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2025-08-14T23:08:26.8714814Z model.safetensors:  24% 21.0M/88.2M [00:00<00:00, 143MB/s]
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2025-08-14T23:08:26.9676309Z model.safetensors:  59% 52.4M/88.2M [00:00<00:00, 206MB/s]
2025-08-14T23:08:26.9676752Z model.safetensors: 100% 88.2M/88.2M [00:00<00:00, 242MB/s]
2025-08-14T23:08:27.5898184Z 
2025-08-14T23:08:27.5898659Z loading model: 0it [00:02, ?it/s]
2025-08-14T23:08:27.5944370Z cuda eval  timm_vision_transformer            
2025-08-14T23:08:38.6956252Z Compilation time (from dynamo_timed): 9.444857937
2025-08-14T23:08:38.6956681Z pass
2025-08-14T23:08:38.6964735Z TIMING: _recursive_pre_grad_passes:0.00761 pad_mm_benchmark:0.39937 _recursive_joint_graph_passes:0.98904 _recursive_post_grad_passes:0.59726 async_compile.wait:0.13151 code_gen:1.62019 inductor_compile:3.60843 backend_compile:7.35982 gc:0.00086 entire_frame_compile:9.44486 cudagraphify.get_container:0.00246 CUDAGraphNode.record:0.00937 total_wall_time:9.44486
2025-08-14T23:08:38.6966566Z STATS: call_* op count: 263 | FakeTensorMode.__torch_dispatch__:11336 | FakeTensor.__torch_dispatch__:5167 | ProxyTorchDispatchMode.__torch_dispatch__:4218
2025-08-14T23:08:38.6967410Z Dynamo produced 1 graphs covering 263 ops with 0 graph breaks (0 unique)
2025-08-14T23:08:44.3042447Z 
2025-08-14T23:08:57.1907215Z loading model: 0it [00:00, ?it/s]
2025-08-14T23:08:57.1907658Z loading model: 0it [00:12, ?it/s]
2025-08-14T23:08:57.2049311Z cuda eval  timm_vision_transformer_large      
2025-08-14T23:08:57.2293277Z Compilation time (from dynamo_timed): 0
2025-08-14T23:08:57.2293633Z pass_due_to_skip
2025-08-14T23:08:57.3374424Z TIMING: total_wall_time:0
2025-08-14T23:08:57.3374763Z STATS: call_* op count: 0
2025-08-14T23:08:57.3375149Z Dynamo produced 0 graphs covering 0 ops with 0 graph breaks (0 unique)
2025-08-14T23:09:01.7434903Z 
2025-08-14T23:09:03.8176257Z loading model: 0it [00:00, ?it/s]
2025-08-14T23:09:03.8176607Z loading model: 0it [00:02, ?it/s]
2025-08-14T23:09:03.8228296Z cuda eval  timm_vovnet                        
2025-08-14T23:09:18.6148741Z Compilation time (from dynamo_timed): 11.09859839
2025-08-14T23:09:18.6149116Z pass
2025-08-14T23:09:18.6164492Z TIMING: _recursive_pre_grad_passes:0.0076 pad_mm_benchmark:0.00127 _recursive_joint_graph_passes:0.20984 _recursive_post_grad_passes:0.15938 async_compile.wait:0.05739 code_gen:2.91593 inductor_compile:4.7013 backend_compile:8.10997 gc:0.00018 entire_frame_compile:11.0986 cudagraphify.get_container:0.00235 CUDAGraphNode.record:0.00526 total_wall_time:11.0986
2025-08-14T23:09:18.6166250Z STATS: call_* op count: 130 | FakeTensorMode.__torch_dispatch__:8378 | FakeTensor.__torch_dispatch__:5940 | ProxyTorchDispatchMode.__torch_dispatch__:3092
2025-08-14T23:09:18.6167059Z Dynamo produced 1 graphs covering 130 ops with 0 graph breaks (0 unique)
2025-08-14T23:09:24.3697061Z 
2025-08-14T23:09:24.5998668Z loading model: 0it [00:00, ?it/s]
2025-08-14T23:09:24.5999009Z 
2025-08-14T23:09:24.6047654Z clip_merges.bpe: 0.00B [00:00, ?B/s]
2025-08-14T23:09:24.6048185Z clip_merges.bpe: 532kB [00:00, 107MB/s]
2025-08-14T23:09:26.2188729Z 
2025-08-14T23:09:26.2189141Z loading model: 0it [00:01, ?it/s]
2025-08-14T23:09:26.2273083Z cuda eval  torch_multimodal_clip              
2025-08-14T23:09:47.3826575Z Compilation time (from dynamo_timed): 18.442008654
2025-08-14T23:09:47.3826968Z pass
2025-08-14T23:09:47.3858210Z TIMING: _recursive_pre_grad_passes:0.01023 pad_mm_benchmark:0.10258 _recursive_joint_graph_passes:0.87109 _recursive_post_grad_passes:1.12221 async_compile.wait:0.57233 code_gen:4.53525 inductor_compile:8.27669 backend_compile:14.08123 gc:0.00196 entire_frame_compile:18.44201 cudagraphify.get_container:0.00226 CachingAutotuner.benchmark_all_configs:0.05151 CUDAGraphNode.record:0.0173 total_wall_time:18.44201
2025-08-14T23:09:47.3860200Z STATS: call_* op count: 370 | FakeTensorMode.__torch_dispatch__:21730 | FakeTensor.__torch_dispatch__:9456 | ProxyTorchDispatchMode.__torch_dispatch__:7931
2025-08-14T23:09:47.3861015Z Dynamo produced 1 graphs covering 370 ops with 0 graph breaks (0 unique)
2025-08-14T23:09:53.3667458Z 
2025-08-14T23:09:53.7804837Z loading model: 0it [00:00, ?it/s]WARNING:common:Model tts_angular does not support bfloat16, running with amp instead
2025-08-14T23:09:54.0300128Z 
2025-08-14T23:09:54.0300513Z loading model: 0it [00:00, ?it/s]
2025-08-14T23:09:54.0301038Z WARNING:common:Model tts_angular does not support bfloat16, running with amp instead
2025-08-14T23:09:54.0301529Z cuda eval  tts_angular                        
2025-08-14T23:09:54.0995394Z WARNING:common:Model tts_angular does not support bfloat16, running with amp instead
2025-08-14T23:09:56.9751378Z Compilation time (from dynamo_timed): 1.728702781
2025-08-14T23:09:56.9751746Z pass
2025-08-14T23:09:56.9775105Z TIMING: _recursive_pre_grad_passes:0.00361 _recursive_joint_graph_passes:0.16032 inductor_compile:0.2636 backend_compile:1.34008 gc:0.00333 entire_frame_compile:1.7287 _recursive_post_grad_passes:0.02314 async_compile.precompile:0.14359 async_compile.wait:0.00017 code_gen:0.20077 total_wall_time:1.7287
2025-08-14T23:09:56.9776655Z STATS: call_* op count: 6 | FakeTensorMode.__torch_dispatch__:410 | ProxyTorchDispatchMode.__torch_dispatch__:54 | FakeTensor.__torch_dispatch__:37
2025-08-14T23:09:56.9777458Z Dynamo produced 3 graphs covering 6 ops with 2 graph breaks (1 unique)
2025-08-14T23:10:04.9239637Z 
2025-08-14T23:10:05.9529673Z loading model: 0it [00:00, ?it/s]Downloading: "https://download.pytorch.org/models/vgg16-397923af.pth" to /var/lib/jenkins/.cache/torch/hub/checkpoints/vgg16-397923af.pth
2025-08-14T23:10:05.9683065Z 
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2025-08-14T23:10:07.3832979Z 
2025-08-14T23:10:07.4833075Z  92% 488M/528M [00:01<00:00, 387MB/s]
2025-08-14T23:10:07.4833311Z 
2025-08-14T23:10:07.4860577Z 100% 527M/528M [00:01<00:00, 395MB/s]
2025-08-14T23:10:07.4860918Z 100% 528M/528M [00:01<00:00, 365MB/s]
2025-08-14T23:10:08.6552213Z 
2025-08-14T23:10:08.6552871Z loading model: 0it [00:03, ?it/s]
2025-08-14T23:10:08.6560564Z cuda eval  vgg16                              
2025-08-14T23:10:17.8832859Z Compilation time (from dynamo_timed): 4.762871404
2025-08-14T23:10:17.8833215Z pass
2025-08-14T23:10:17.8834795Z TIMING: _recursive_pre_grad_passes:0.00452 pad_mm_benchmark:0.23682 _recursive_joint_graph_passes:0.40298 _recursive_post_grad_passes:0.22839 async_compile.precompile:0.58006 async_compile.wait:0.52538 code_gen:1.849 inductor_compile:2.38071 backend_compile:4.13468 gc:0.00027 entire_frame_compile:4.76287 cudagraphify.get_container:0.00323 CachingAutotuner.benchmark_all_configs:0.25491 CUDAGraphNode.record:0.00289 total_wall_time:4.76287
2025-08-14T23:10:17.8836836Z STATS: call_* op count: 40 | FakeTensorMode.__torch_dispatch__:1935 | FakeTensor.__torch_dispatch__:401 | ProxyTorchDispatchMode.__torch_dispatch__:428
2025-08-14T23:10:17.8837622Z Dynamo produced 1 graphs covering 40 ops with 0 graph breaks (0 unique)
2025-08-14T23:10:23.2854610Z 
2025-08-14T23:10:23.8725446Z loading model: 0it [00:00, ?it/s]Downloading: "https://download.pytorch.org/models/maskrcnn_resnet50_fpn_coco-bf2d0c1e.pth" to /var/lib/jenkins/.cache/torch/hub/checkpoints/maskrcnn_resnet50_fpn_coco-bf2d0c1e.pth
2025-08-14T23:10:23.8876966Z 
2025-08-14T23:10:23.8877222Z 
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2025-08-14T23:10:25.9798591Z WARNING:common:Model vision_maskrcnn does not support bfloat16, running with float16 instead
2025-08-14T23:10:34.7879067Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put.default Found from   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 185, in _roi_align
2025-08-14T23:10:34.7880255Z     val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask)  # [K, C, PH, PW, IY, IX]
2025-08-14T23:10:34.7881073Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate
2025-08-14T23:10:34.7881718Z     v4 = masked_index(y_high, x_high)
2025-08-14T23:10:34.7882298Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index
2025-08-14T23:10:34.7882876Z     return input[
2025-08-14T23:10:34.7883018Z 
2025-08-14T23:10:34.7883022Z 
2025-08-14T23:10:43.6297134Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put.default Found from   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 185, in _roi_align
2025-08-14T23:10:43.6298816Z     val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask)  # [K, C, PH, PW, IY, IX]
2025-08-14T23:10:43.6299660Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate
2025-08-14T23:10:43.6300295Z     v4 = masked_index(y_high, x_high)
2025-08-14T23:10:43.6300876Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index
2025-08-14T23:10:43.6301441Z     return input[
2025-08-14T23:10:43.6301585Z 
2025-08-14T23:10:43.6301589Z 
2025-08-14T23:10:49.3683831Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put.default Found from   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 185, in _roi_align
2025-08-14T23:10:49.3685149Z     val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask)  # [K, C, PH, PW, IY, IX]
2025-08-14T23:10:49.3686013Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate
2025-08-14T23:10:49.3686657Z     v4 = masked_index(y_high, x_high)
2025-08-14T23:10:49.3687245Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index
2025-08-14T23:10:49.3687824Z     return input[
2025-08-14T23:10:49.3687963Z 
2025-08-14T23:10:49.3687968Z 
2025-08-14T23:10:55.4825558Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put.default Found from   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 185, in _roi_align
2025-08-14T23:10:55.4826720Z     val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask)  # [K, C, PH, PW, IY, IX]
2025-08-14T23:10:55.4827531Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate
2025-08-14T23:10:55.4828184Z     v4 = masked_index(y_high, x_high)
2025-08-14T23:10:55.4828780Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index
2025-08-14T23:10:55.4829345Z     return input[
2025-08-14T23:10:55.4829484Z 
2025-08-14T23:10:55.4829488Z 
2025-08-14T23:11:04.0163925Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put.default Found from   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 185, in _roi_align
2025-08-14T23:11:04.0165106Z     val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask)  # [K, C, PH, PW, IY, IX]
2025-08-14T23:11:04.0165919Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate
2025-08-14T23:11:04.0166553Z     v4 = masked_index(y_high, x_high)
2025-08-14T23:11:04.0167133Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index
2025-08-14T23:11:04.0167731Z     return input[
2025-08-14T23:11:04.0167870Z 
2025-08-14T23:11:04.0167874Z 
2025-08-14T23:11:12.8197407Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put.default Found from   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 185, in _roi_align
2025-08-14T23:11:12.8198612Z     val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask)  # [K, C, PH, PW, IY, IX]
2025-08-14T23:11:12.8199426Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate
2025-08-14T23:11:12.8200055Z     v4 = masked_index(y_high, x_high)
2025-08-14T23:11:12.8200641Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index
2025-08-14T23:11:12.8201214Z     return input[
2025-08-14T23:11:12.8201352Z 
2025-08-14T23:11:12.8201708Z 
2025-08-14T23:11:21.2465594Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put.default Found from   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 185, in _roi_align
2025-08-14T23:11:21.2467213Z     val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask)  # [K, C, PH, PW, IY, IX]
2025-08-14T23:11:21.2468139Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate
2025-08-14T23:11:21.2468776Z     v4 = masked_index(y_high, x_high)
2025-08-14T23:11:21.2469359Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index
2025-08-14T23:11:21.2469938Z     return input[
2025-08-14T23:11:21.2470078Z 
2025-08-14T23:11:21.2470082Z 
2025-08-14T23:11:30.2086036Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put.default Found from   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 185, in _roi_align
2025-08-14T23:11:30.2087653Z     val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask)  # [K, C, PH, PW, IY, IX]
2025-08-14T23:11:30.2088541Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate
2025-08-14T23:11:30.2089173Z     v4 = masked_index(y_high, x_high)
2025-08-14T23:11:30.2089751Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index
2025-08-14T23:11:30.2090318Z     return input[
2025-08-14T23:11:30.2090460Z 
2025-08-14T23:11:30.2090464Z 
2025-08-14T23:11:30.7862296Z 
2025-08-14T23:11:30.7862955Z loading model: 0it [01:07, ?it/s]
2025-08-14T23:11:30.7863807Z WARNING:common:Model vision_maskrcnn does not support bfloat16, running with float16 instead
2025-08-14T23:11:30.7931395Z cuda eval  vision_maskrcnn                    
2025-08-14T23:11:31.6941157Z W0814 23:11:31.693000 29139 site-packages/torch/_dynamo/convert_frame.py:1102] [0/8] torch._dynamo hit config.recompile_limit (8)
2025-08-14T23:11:31.6943150Z W0814 23:11:31.693000 29139 site-packages/torch/_dynamo/convert_frame.py:1102] [0/8]    function: '_roi_align' (/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py:114)
2025-08-14T23:11:31.6944901Z W0814 23:11:31.693000 29139 site-packages/torch/_dynamo/convert_frame.py:1102] [0/8]    last reason: 0/7: GLOBAL_STATE changed: grad_mode 
2025-08-14T23:11:31.6946538Z W0814 23:11:31.693000 29139 site-packages/torch/_dynamo/convert_frame.py:1102] [0/8] To log all recompilation reasons, use TORCH_LOGS="recompiles".
2025-08-14T23:11:31.6948565Z W0814 23:11:31.693000 29139 site-packages/torch/_dynamo/convert_frame.py:1102] [0/8] To diagnose recompilation issues, see https://pytorch.org/docs/main/torch.compiler_troubleshooting.html
2025-08-14T23:11:32.6105777Z WARNING:common:Model vision_maskrcnn does not support bfloat16, running with float16 instead
2025-08-14T23:11:53.8238145Z W0814 23:11:53.823000 29139 site-packages/torch/_inductor/utils.py:2236] [2/0_1] DeviceCopy in input program
2025-08-14T23:11:53.8389005Z W0814 23:11:53.838000 29139 site-packages/torch/_inductor/utils.py:2236] [2/0_1] DeviceCopy in input program
2025-08-14T23:11:53.8540556Z W0814 23:11:53.853000 29139 site-packages/torch/_inductor/utils.py:2236] [2/0_1] DeviceCopy in input program
2025-08-14T23:11:53.8686549Z W0814 23:11:53.868000 29139 site-packages/torch/_inductor/utils.py:2236] [2/0_1] DeviceCopy in input program
2025-08-14T23:11:53.8830312Z W0814 23:11:53.882000 29139 site-packages/torch/_inductor/utils.py:2236] [2/0_1] DeviceCopy in input program
2025-08-14T23:11:54.4599544Z cudagraph partition due to DeviceCopy ops. Found from : 
2025-08-14T23:11:54.4602475Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/rpn.py", line 361, in forward
2025-08-14T23:11:54.4603196Z     anchors = self.anchor_generator(images, features)
2025-08-14T23:11:54.4604456Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 130, in forward
2025-08-14T23:11:54.4605480Z     cell_anchors = self.set_cell_anchors(dtype, device)
2025-08-14T23:11:54.4606326Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in set_cell_anchors
2025-08-14T23:11:54.4607264Z     return [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors]
2025-08-14T23:11:54.4608184Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in <listcomp>
2025-08-14T23:11:54.4609093Z     return [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors]
2025-08-14T23:11:54.4609523Z 
2025-08-14T23:11:54.4609736Z cudagraph partition due to DeviceCopy ops. Found from : 
2025-08-14T23:11:54.4610480Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/rpn.py", line 361, in forward
2025-08-14T23:11:54.4611308Z     anchors = self.anchor_generator(images, features)
2025-08-14T23:11:54.4612039Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 130, in forward
2025-08-14T23:11:54.4612831Z     cell_anchors = self.set_cell_anchors(dtype, device)
2025-08-14T23:11:54.4613644Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in set_cell_anchors
2025-08-14T23:11:54.4614580Z     return [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors]
2025-08-14T23:11:54.4615485Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in <listcomp>
2025-08-14T23:11:54.4616390Z     return [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors]
2025-08-14T23:11:54.4616841Z 
2025-08-14T23:11:54.4617026Z cudagraph partition due to DeviceCopy ops. Found from : 
2025-08-14T23:11:54.4617796Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/rpn.py", line 361, in forward
2025-08-14T23:11:54.4618491Z     anchors = self.anchor_generator(images, features)
2025-08-14T23:11:54.4619228Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 130, in forward
2025-08-14T23:11:54.4620013Z     cell_anchors = self.set_cell_anchors(dtype, device)
2025-08-14T23:11:54.4620812Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in set_cell_anchors
2025-08-14T23:11:54.4621745Z     return [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors]
2025-08-14T23:11:54.4622646Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in <listcomp>
2025-08-14T23:11:54.4623549Z     return [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors]
2025-08-14T23:11:54.4624258Z 
2025-08-14T23:11:54.4624436Z cudagraph partition due to DeviceCopy ops. Found from : 
2025-08-14T23:11:54.4625206Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/rpn.py", line 361, in forward
2025-08-14T23:11:54.4625946Z     anchors = self.anchor_generator(images, features)
2025-08-14T23:11:54.4626700Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 130, in forward
2025-08-14T23:11:54.4627417Z     cell_anchors = self.set_cell_anchors(dtype, device)
2025-08-14T23:11:54.4628223Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in set_cell_anchors
2025-08-14T23:11:54.4629173Z     return [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors]
2025-08-14T23:11:54.4630096Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in <listcomp>
2025-08-14T23:11:54.4631331Z     return [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors]
2025-08-14T23:11:54.4631726Z 
2025-08-14T23:11:54.4631921Z cudagraph partition due to DeviceCopy ops. Found from : 
2025-08-14T23:11:54.4632679Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/rpn.py", line 361, in forward
2025-08-14T23:11:54.4633422Z     anchors = self.anchor_generator(images, features)
2025-08-14T23:11:54.4634194Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 130, in forward
2025-08-14T23:11:54.4634973Z     cell_anchors = self.set_cell_anchors(dtype, device)
2025-08-14T23:11:54.4635777Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in set_cell_anchors
2025-08-14T23:11:54.4636703Z     return [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors]
2025-08-14T23:11:54.4637630Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in <listcomp>
2025-08-14T23:11:54.4638542Z     return [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors]
2025-08-14T23:11:54.4638914Z 
2025-08-14T23:11:54.4821176Z cudagraph partition into 2 partitions
2025-08-14T23:11:56.7976985Z W0814 23:11:56.796000 29139 site-packages/torch/_dynamo/variables/tensor.py:1048] [12/0] Graph break from `Tensor.item()`, consider setting:
2025-08-14T23:11:56.7978177Z W0814 23:11:56.796000 29139 site-packages/torch/_dynamo/variables/tensor.py:1048] [12/0]     torch._dynamo.config.capture_scalar_outputs = True
2025-08-14T23:11:56.7978986Z W0814 23:11:56.796000 29139 site-packages/torch/_dynamo/variables/tensor.py:1048] [12/0] or:
2025-08-14T23:11:56.7979775Z W0814 23:11:56.796000 29139 site-packages/torch/_dynamo/variables/tensor.py:1048] [12/0]     env TORCHDYNAMO_CAPTURE_SCALAR_OUTPUTS=1
2025-08-14T23:11:56.7980760Z W0814 23:11:56.796000 29139 site-packages/torch/_dynamo/variables/tensor.py:1048] [12/0] to include these operations in the captured graph.
2025-08-14T23:11:56.7981679Z W0814 23:11:56.796000 29139 site-packages/torch/_dynamo/variables/tensor.py:1048] [12/0] 
2025-08-14T23:11:56.7982405Z W0814 23:11:56.796000 29139 site-packages/torch/_dynamo/variables/tensor.py:1048] [12/0] Graph break: from user code at:
2025-08-14T23:11:56.7983775Z W0814 23:11:56.796000 29139 site-packages/torch/_dynamo/variables/tensor.py:1048] [12/0]   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/generalized_rcnn.py", line 118, in torch_dynamo_resume_in_forward_at_117
2025-08-14T23:11:56.7985371Z W0814 23:11:56.796000 29139 site-packages/torch/_dynamo/variables/tensor.py:1048] [12/0]     detections, detector_losses = self.roi_heads(features, proposals, images.image_sizes, targets)
2025-08-14T23:11:56.7986814Z W0814 23:11:56.796000 29139 site-packages/torch/_dynamo/variables/tensor.py:1048] [12/0]   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/roi_heads.py", line 763, in forward
2025-08-14T23:11:56.7988139Z W0814 23:11:56.796000 29139 site-packages/torch/_dynamo/variables/tensor.py:1048] [12/0]     box_features = self.box_roi_pool(features, proposals, image_shapes)
2025-08-14T23:11:56.7989391Z W0814 23:11:56.796000 29139 site-packages/torch/_dynamo/variables/tensor.py:1048] [12/0]   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/poolers.py", line 310, in forward
2025-08-14T23:11:56.7990571Z W0814 23:11:56.796000 29139 site-packages/torch/_dynamo/variables/tensor.py:1048] [12/0]     self.scales, self.map_levels = _setup_scales(
2025-08-14T23:11:56.7991768Z W0814 23:11:56.796000 29139 site-packages/torch/_dynamo/variables/tensor.py:1048] [12/0]   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/poolers.py", line 122, in _setup_scales
2025-08-14T23:11:56.7993428Z W0814 23:11:56.796000 29139 site-packages/torch/_dynamo/variables/tensor.py:1048] [12/0]     scales = [_infer_scale(feat, original_input_shape) for feat in features]
2025-08-14T23:11:56.8005863Z W0814 23:11:56.796000 29139 site-packages/torch/_dynamo/variables/tensor.py:1048] [12/0]   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/poolers.py", line 122, in <listcomp>
2025-08-14T23:11:56.8007202Z W0814 23:11:56.796000 29139 site-packages/torch/_dynamo/variables/tensor.py:1048] [12/0]     scales = [_infer_scale(feat, original_input_shape) for feat in features]
2025-08-14T23:11:56.8008475Z W0814 23:11:56.796000 29139 site-packages/torch/_dynamo/variables/tensor.py:1048] [12/0]   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/poolers.py", line 104, in _infer_scale
2025-08-14T23:11:56.8009694Z W0814 23:11:56.796000 29139 site-packages/torch/_dynamo/variables/tensor.py:1048] [12/0]     scale = 2 ** float(torch.tensor(approx_scale).log2().round())
2025-08-14T23:11:56.8010516Z W0814 23:11:56.796000 29139 site-packages/torch/_dynamo/variables/tensor.py:1048] [12/0] 
2025-08-14T23:11:56.8011279Z W0814 23:11:56.796000 29139 site-packages/torch/_dynamo/variables/tensor.py:1048] [12/0] 
2025-08-14T23:11:57.2665764Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T23:11:57.2666802Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/poolers.py", line 125, in torch_dynamo_resume_in__setup_scales_at_122
2025-08-14T23:11:57.2667637Z     lvl_min = -torch.log2(torch.tensor(scales[0], dtype=torch.float32)).item()
2025-08-14T23:11:57.2667979Z 
2025-08-14T23:11:58.0180891Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T23:11:58.0181699Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/poolers.py", line 126, in torch_dynamo_resume_in__setup_scales_at_125
2025-08-14T23:11:58.0182532Z     lvl_max = -torch.log2(torch.tensor(scales[-1], dtype=torch.float32)).item()
2025-08-14T23:11:58.0182890Z 
2025-08-14T23:13:10.6659017Z Compilation time (from dynamo_timed): 97.338598326
2025-08-14T23:13:10.6659447Z pass
2025-08-14T23:13:10.6680464Z TIMING: gc:0.03519 entire_frame_compile:97.3386 _recursive_pre_grad_passes:0.03076 _recursive_joint_graph_passes:0.57223 _recursive_post_grad_passes:0.43212 async_compile.wait:1.56818 code_gen:5.45303 inductor_compile:14.54098 backend_compile:25.59634 cudagraphify.get_container:0.01617 pad_mm_benchmark:0.00215 CUDAGraphNode.record:0.01209 total_wall_time:97.3386
2025-08-14T23:13:10.6682604Z STATS: call_* op count: 3077 | FakeTensor.__torch_dispatch__:28591 | FakeTensorMode.__torch_dispatch__:84463 | attempt fast:742 | fast is_contiguous:566 | slow both tensors nontrivially broadcast:176 | ProxyTorchDispatchMode.__torch_dispatch__:27132
2025-08-14T23:13:10.6683712Z Dynamo produced 19 graphs covering 1125 ops with 20 graph breaks (3 unique)
2025-08-14T23:13:19.6147740Z 
2025-08-14T23:13:21.7160926Z loading model: 0it [00:00, ?it/s]
2025-08-14T23:13:21.7161357Z loading model: 0it [00:02, ?it/s]
2025-08-14T23:13:21.7254428Z cuda eval  yolov3                             
2025-08-14T23:13:40.3840813Z W0814 23:13:40.383000 30136 site-packages/torch/_inductor/utils.py:2236] [0/0] DeviceCopy in input program
2025-08-14T23:13:40.5472531Z W0814 23:13:40.546000 30136 site-packages/torch/_inductor/utils.py:2236] [0/0] DeviceCopy in input program
2025-08-14T23:13:40.7076108Z W0814 23:13:40.706000 30136 site-packages/torch/_inductor/utils.py:2236] [0/0] DeviceCopy in input program
2025-08-14T23:13:40.7798673Z W0814 23:13:40.779000 30136 site-packages/torch/_inductor/utils.py:2236] [0/0] DeviceCopy in input program
2025-08-14T23:13:40.7810094Z W0814 23:13:40.780000 30136 site-packages/torch/_inductor/utils.py:2236] [0/0] DeviceCopy in input program
2025-08-14T23:13:40.7824158Z W0814 23:13:40.781000 30136 site-packages/torch/_inductor/utils.py:2236] [0/0] DeviceCopy in input program
2025-08-14T23:13:42.5842762Z cudagraph partition due to DeviceCopy ops. Found from : 
2025-08-14T23:13:42.5844931Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T23:13:42.5845518Z     return mod(*inputs)
2025-08-14T23:13:42.5846200Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 298, in forward
2025-08-14T23:13:42.5846702Z     return self.forward_once(x)
2025-08-14T23:13:42.5847185Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 361, in forward_once
2025-08-14T23:13:42.5847704Z     yolo_out.append(module(x, out))
2025-08-14T23:13:42.5848210Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 235, in forward
2025-08-14T23:13:42.5848908Z     self.create_grids((nx, ny), p.device)
2025-08-14T23:13:42.5849604Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 205, in create_grids
2025-08-14T23:13:42.5850312Z     self.anchor_wh = self.anchor_wh.to(device)
2025-08-14T23:13:42.5850600Z 
2025-08-14T23:13:42.5850816Z cudagraph partition due to DeviceCopy ops. Found from : 
2025-08-14T23:13:42.5851506Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T23:13:42.5852038Z     return mod(*inputs)
2025-08-14T23:13:42.5852509Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 298, in forward
2025-08-14T23:13:42.5852997Z     return self.forward_once(x)
2025-08-14T23:13:42.5853473Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 361, in forward_once
2025-08-14T23:13:42.5853984Z     yolo_out.append(module(x, out))
2025-08-14T23:13:42.5854445Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 235, in forward
2025-08-14T23:13:42.5854944Z     self.create_grids((nx, ny), p.device)
2025-08-14T23:13:42.5855449Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 205, in create_grids
2025-08-14T23:13:42.5855971Z     self.anchor_wh = self.anchor_wh.to(device)
2025-08-14T23:13:42.5856202Z 
2025-08-14T23:13:42.5856377Z cudagraph partition due to DeviceCopy ops. Found from : 
2025-08-14T23:13:42.5856972Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T23:13:42.5857491Z     return mod(*inputs)
2025-08-14T23:13:42.5857912Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 298, in forward
2025-08-14T23:13:42.5858397Z     return self.forward_once(x)
2025-08-14T23:13:42.5858871Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 361, in forward_once
2025-08-14T23:13:42.5859371Z     yolo_out.append(module(x, out))
2025-08-14T23:13:42.5859841Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 235, in forward
2025-08-14T23:13:42.5860333Z     self.create_grids((nx, ny), p.device)
2025-08-14T23:13:42.5860830Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 205, in create_grids
2025-08-14T23:13:42.5861358Z     self.anchor_wh = self.anchor_wh.to(device)
2025-08-14T23:13:42.5861587Z 
2025-08-14T23:13:42.5861765Z cudagraph partition due to DeviceCopy ops. Found from : 
2025-08-14T23:13:42.5862364Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T23:13:42.5862877Z     return mod(*inputs)
2025-08-14T23:13:42.5863305Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 298, in forward
2025-08-14T23:13:42.5863787Z     return self.forward_once(x)
2025-08-14T23:13:42.5864251Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 361, in forward_once
2025-08-14T23:13:42.5864762Z     yolo_out.append(module(x, out))
2025-08-14T23:13:42.5865229Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 235, in forward
2025-08-14T23:13:42.5865723Z     self.create_grids((nx, ny), p.device)
2025-08-14T23:13:42.5866220Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 204, in create_grids
2025-08-14T23:13:42.5866754Z     self.anchor_vec = self.anchor_vec.to(device)
2025-08-14T23:13:42.5866983Z 
2025-08-14T23:13:42.5867257Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T23:13:42.5867899Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T23:13:42.5868415Z     return mod(*inputs)
2025-08-14T23:13:42.5868840Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 298, in forward
2025-08-14T23:13:42.5869326Z     return self.forward_once(x)
2025-08-14T23:13:42.5869794Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 361, in forward_once
2025-08-14T23:13:42.5870308Z     yolo_out.append(module(x, out))
2025-08-14T23:13:42.5870776Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 235, in forward
2025-08-14T23:13:42.5871262Z     self.create_grids((nx, ny), p.device)
2025-08-14T23:13:42.5871765Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 189, in create_grids
2025-08-14T23:13:42.5872303Z     self.ng = torch.tensor(ng, dtype=torch.float)
2025-08-14T23:13:42.5872551Z 
2025-08-14T23:13:42.5872732Z cudagraph partition due to DeviceCopy ops. Found from : 
2025-08-14T23:13:42.5873316Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T23:13:42.5873832Z     return mod(*inputs)
2025-08-14T23:13:42.5874257Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 298, in forward
2025-08-14T23:13:42.5874729Z     return self.forward_once(x)
2025-08-14T23:13:42.5875199Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 361, in forward_once
2025-08-14T23:13:42.5875706Z     yolo_out.append(module(x, out))
2025-08-14T23:13:42.5876173Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 235, in forward
2025-08-14T23:13:42.5876652Z     self.create_grids((nx, ny), p.device)
2025-08-14T23:13:42.5877155Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 204, in create_grids
2025-08-14T23:13:42.5877690Z     self.anchor_vec = self.anchor_vec.to(device)
2025-08-14T23:13:42.5877926Z 
2025-08-14T23:13:42.5878085Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T23:13:42.5878660Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T23:13:42.5879176Z     return mod(*inputs)
2025-08-14T23:13:42.5879599Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 298, in forward
2025-08-14T23:13:42.5880072Z     return self.forward_once(x)
2025-08-14T23:13:42.5880542Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 361, in forward_once
2025-08-14T23:13:42.5881046Z     yolo_out.append(module(x, out))
2025-08-14T23:13:42.5881505Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 235, in forward
2025-08-14T23:13:42.5881997Z     self.create_grids((nx, ny), p.device)
2025-08-14T23:13:42.5882498Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 189, in create_grids
2025-08-14T23:13:42.5883038Z     self.ng = torch.tensor(ng, dtype=torch.float)
2025-08-14T23:13:42.5883283Z 
2025-08-14T23:13:42.5883452Z cudagraph partition due to DeviceCopy ops. Found from : 
2025-08-14T23:13:42.5884039Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T23:13:42.5884551Z     return mod(*inputs)
2025-08-14T23:13:42.5884967Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 298, in forward
2025-08-14T23:13:42.5885448Z     return self.forward_once(x)
2025-08-14T23:13:42.5885923Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 361, in forward_once
2025-08-14T23:13:42.5886421Z     yolo_out.append(module(x, out))
2025-08-14T23:13:42.5886886Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 235, in forward
2025-08-14T23:13:42.5887372Z     self.create_grids((nx, ny), p.device)
2025-08-14T23:13:42.5887869Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 204, in create_grids
2025-08-14T23:13:42.5888390Z     self.anchor_vec = self.anchor_vec.to(device)
2025-08-14T23:13:42.5888717Z 
2025-08-14T23:13:42.5888873Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T23:13:42.5889514Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T23:13:42.5890022Z     return mod(*inputs)
2025-08-14T23:13:42.5890446Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 298, in forward
2025-08-14T23:13:42.5890925Z     return self.forward_once(x)
2025-08-14T23:13:42.5891460Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 361, in forward_once
2025-08-14T23:13:42.5891957Z     yolo_out.append(module(x, out))
2025-08-14T23:13:42.5892424Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 235, in forward
2025-08-14T23:13:42.5892911Z     self.create_grids((nx, ny), p.device)
2025-08-14T23:13:42.5893404Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 189, in create_grids
2025-08-14T23:13:42.5893942Z     self.ng = torch.tensor(ng, dtype=torch.float)
2025-08-14T23:13:42.5894181Z 
2025-08-14T23:13:42.7017381Z cudagraph partition into 2 partitions
2025-08-14T23:14:03.8833735Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T23:14:03.8835748Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T23:14:03.8836317Z     return mod(*inputs)
2025-08-14T23:14:03.8836755Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 298, in forward
2025-08-14T23:14:03.8837242Z     return self.forward_once(x)
2025-08-14T23:14:03.8837718Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 361, in forward_once
2025-08-14T23:14:03.8838231Z     yolo_out.append(module(x, out))
2025-08-14T23:14:03.8838701Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 235, in forward
2025-08-14T23:14:03.8839187Z     self.create_grids((nx, ny), p.device)
2025-08-14T23:14:03.8839696Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 189, in create_grids
2025-08-14T23:14:03.8840243Z     self.ng = torch.tensor(ng, dtype=torch.float)
2025-08-14T23:14:03.8840485Z 
2025-08-14T23:14:03.8840651Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T23:14:03.8841224Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T23:14:03.8841738Z     return mod(*inputs)
2025-08-14T23:14:03.8842168Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 298, in forward
2025-08-14T23:14:03.8842644Z     return self.forward_once(x)
2025-08-14T23:14:03.8843120Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 361, in forward_once
2025-08-14T23:14:03.8843625Z     yolo_out.append(module(x, out))
2025-08-14T23:14:03.8844084Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 235, in forward
2025-08-14T23:14:03.8844573Z     self.create_grids((nx, ny), p.device)
2025-08-14T23:14:03.8845076Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 189, in create_grids
2025-08-14T23:14:03.8845619Z     self.ng = torch.tensor(ng, dtype=torch.float)
2025-08-14T23:14:03.8845856Z 
2025-08-14T23:14:03.8846018Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T23:14:03.8846585Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T23:14:03.8847094Z     return mod(*inputs)
2025-08-14T23:14:03.8847510Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 298, in forward
2025-08-14T23:14:03.8847990Z     return self.forward_once(x)
2025-08-14T23:14:03.8848457Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 361, in forward_once
2025-08-14T23:14:03.8848958Z     yolo_out.append(module(x, out))
2025-08-14T23:14:03.8849414Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 235, in forward
2025-08-14T23:14:03.8849901Z     self.create_grids((nx, ny), p.device)
2025-08-14T23:14:03.8850698Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 189, in create_grids
2025-08-14T23:14:03.8851310Z     self.ng = torch.tensor(ng, dtype=torch.float)
2025-08-14T23:14:03.8851552Z 
2025-08-14T23:14:04.0033129Z cudagraph partition into 2 partitions
2025-08-14T23:14:09.4374835Z Compilation time (from dynamo_timed): 41.782138347
2025-08-14T23:14:09.4375318Z pass
2025-08-14T23:14:09.4501314Z TIMING: _recursive_pre_grad_passes:0.01955 _recursive_joint_graph_passes:0.44288 _recursive_post_grad_passes:0.75011 async_compile.wait:1.05363 code_gen:11.9102 inductor_compile:19.93167 backend_compile:31.17473 gc:0.00078 entire_frame_compile:41.78214 cudagraphify.get_container:0.00219 total_wall_time:41.78214
2025-08-14T23:14:09.4502947Z STATS: call_* op count: 676 | FakeTensorMode.__torch_dispatch__:34682 | FakeTensor.__torch_dispatch__:25690 | ProxyTorchDispatchMode.__torch_dispatch__:14133
2025-08-14T23:14:09.4503754Z Dynamo produced 2 graphs covering 676 ops with 0 graph breaks (0 unique)
2025-08-14T23:14:12.8137929Z accuracy            pass_rate=82.61%
2025-08-14T23:14:12.8142052Z calls_captured      gmean=0.00x mean=296.478x
2025-08-14T23:14:12.8145825Z unique_graphs       gmean=0.00x mean=1.500x
2025-08-14T23:14:12.8149635Z graph_breaks        gmean=0.00x mean=0.870x
2025-08-14T23:14:12.8153927Z unique_graph_breaks gmean=0.00x mean=0.239x
2025-08-14T23:14:12.8157677Z autograd_captures   gmean=0.00x mean=0.000x
2025-08-14T23:14:12.8161977Z autograd_compiles   gmean=0.00x mean=0.000x
2025-08-14T23:14:12.8166180Z cudagraph_skips     gmean=nanx mean=-0.109x
2025-08-14T23:14:12.8166727Z compilation_latency mean=14.626 seconds
2025-08-14T23:14:14.7067125Z + python benchmarks/dynamo/check_accuracy.py --actual /var/lib/jenkins/workspace/test/test-reports/inference_torchbench.csv --expected benchmarks/dynamo/ci_expected_accuracy/inductor_torchbench_inference.csv
2025-08-14T23:14:15.0448518Z llama_v2_7b_16h                     XFAIL
2025-08-14T23:14:15.0452526Z llava                               XFAIL
2025-08-14T23:14:15.0458088Z maml                                XFAIL
2025-08-14T23:14:15.0463156Z maml_omniglot                       PASS
2025-08-14T23:14:15.0468672Z microbench_unbacked_tolist_sum      PASS
2025-08-14T23:14:15.0473852Z mnasnet1_0                          PASS
2025-08-14T23:14:15.0479197Z mobilenet_v2                        PASS
2025-08-14T23:14:15.0484058Z mobilenet_v2_quantized_qat          XFAIL
2025-08-14T23:14:15.0488975Z mobilenet_v3_large                  PASS
2025-08-14T23:14:15.0494215Z moco                                PASS
2025-08-14T23:14:15.0499104Z moondream                           XFAIL
2025-08-14T23:14:15.0503847Z nanogpt                             PASS
2025-08-14T23:14:15.0508707Z nvidia_deeprecommender              PASS
2025-08-14T23:14:15.0513422Z opacus_cifar10                      PASS
2025-08-14T23:14:15.0518381Z phlippe_densenet                    PASS
2025-08-14T23:14:15.0523331Z phlippe_resnet                      PASS
2025-08-14T23:14:15.0529158Z pyhpc_equation_of_state             PASS
2025-08-14T23:14:15.0534346Z pyhpc_isoneutral_mixing             PASS
2025-08-14T23:14:15.0539063Z pyhpc_turbulent_kinetic_energy      PASS
2025-08-14T23:14:15.0544080Z pytorch_CycleGAN_and_pix2pix        PASS
2025-08-14T23:14:15.0549038Z pytorch_stargan                     PASS
2025-08-14T23:14:15.0554180Z pytorch_unet                        PASS
2025-08-14T23:14:15.0559106Z resnet152                           PASS
2025-08-14T23:14:15.0564190Z resnet18                            PASS
2025-08-14T23:14:15.0569128Z resnet50                            PASS
2025-08-14T23:14:15.0574984Z resnet50_quantized_qat              XFAIL
2025-08-14T23:14:15.0579751Z resnext50_32x4d                     PASS
2025-08-14T23:14:15.0584903Z sam                                 PASS
2025-08-14T23:14:15.0589980Z sam_fast                            PASS
2025-08-14T23:14:15.0595123Z shufflenet_v2_x1_0                  PASS
2025-08-14T23:14:15.0600198Z soft_actor_critic                   PASS
2025-08-14T23:14:15.0605323Z speech_transformer                  PASS
2025-08-14T23:14:15.0610283Z squeezenet1_1                       PASS
2025-08-14T23:14:15.0615886Z stable_diffusion_text_encoder       PASS
2025-08-14T23:14:15.0621102Z stable_diffusion_unet               XFAIL
2025-08-14T23:14:15.0626321Z timm_efficientnet                   PASS
2025-08-14T23:14:15.0631339Z timm_regnet                         PASS
2025-08-14T23:14:15.0636472Z timm_resnest                        PASS
2025-08-14T23:14:15.0641507Z timm_vision_transformer             PASS
2025-08-14T23:14:15.0646666Z timm_vision_transformer_large       XFAIL
2025-08-14T23:14:15.0651735Z timm_vovnet                         PASS
2025-08-14T23:14:15.0657139Z torch_multimodal_clip               PASS
2025-08-14T23:14:15.0662085Z tts_angular                         PASS
2025-08-14T23:14:15.0667222Z vgg16                               PASS
2025-08-14T23:14:15.0672209Z vision_maskrcnn                     PASS
2025-08-14T23:14:15.0677393Z yolov3                              PASS
2025-08-14T23:14:15.1212848Z + python benchmarks/dynamo/check_graph_breaks.py --actual /var/lib/jenkins/workspace/test/test-reports/inference_torchbench.csv --expected benchmarks/dynamo/ci_expected_accuracy/inductor_torchbench_inference.csv
2025-08-14T23:14:15.4591176Z llama_v2_7b_16h                     PASS
2025-08-14T23:14:15.4594422Z llava                               PASS
2025-08-14T23:14:15.4598744Z maml                                PASS
2025-08-14T23:14:15.4603643Z maml_omniglot                       PASS
2025-08-14T23:14:15.4608277Z microbench_unbacked_tolist_sum      PASS
2025-08-14T23:14:15.4614583Z mnasnet1_0                          PASS
2025-08-14T23:14:15.4618189Z mobilenet_v2                        PASS
2025-08-14T23:14:15.4623051Z mobilenet_v2_quantized_qat          PASS
2025-08-14T23:14:15.4627858Z mobilenet_v3_large                  PASS
2025-08-14T23:14:15.4632552Z moco                                PASS
2025-08-14T23:14:15.4637224Z moondream                           PASS
2025-08-14T23:14:15.4641809Z nanogpt                             PASS
2025-08-14T23:14:15.4646560Z nvidia_deeprecommender              PASS
2025-08-14T23:14:15.4651266Z opacus_cifar10                      PASS
2025-08-14T23:14:15.4656270Z phlippe_densenet                    PASS
2025-08-14T23:14:15.4660909Z phlippe_resnet                      PASS
2025-08-14T23:14:15.4665616Z pyhpc_equation_of_state             PASS
2025-08-14T23:14:15.4670300Z pyhpc_isoneutral_mixing             PASS
2025-08-14T23:14:15.4674964Z pyhpc_turbulent_kinetic_energy      PASS
2025-08-14T23:14:15.4679641Z pytorch_CycleGAN_and_pix2pix        PASS
2025-08-14T23:14:15.4684230Z pytorch_stargan                     PASS
2025-08-14T23:14:15.4688792Z pytorch_unet                        PASS
2025-08-14T23:14:15.4693877Z resnet152                           PASS
2025-08-14T23:14:15.4698425Z resnet18                            PASS
2025-08-14T23:14:15.4703053Z resnet50                            PASS
2025-08-14T23:14:15.4707725Z resnet50_quantized_qat              PASS
2025-08-14T23:14:15.4712706Z resnext50_32x4d                     PASS
2025-08-14T23:14:15.4717026Z sam                                 PASS
2025-08-14T23:14:15.4721772Z sam_fast                            PASS
2025-08-14T23:14:15.4726497Z shufflenet_v2_x1_0                  PASS
2025-08-14T23:14:15.4731179Z soft_actor_critic                   PASS
2025-08-14T23:14:15.4736465Z speech_transformer                  PASS
2025-08-14T23:14:15.4740685Z squeezenet1_1                       PASS
2025-08-14T23:14:15.4745286Z stable_diffusion_text_encoder       PASS
2025-08-14T23:14:15.4750024Z stable_diffusion_unet               PASS
2025-08-14T23:14:15.4754643Z timm_efficientnet                   PASS
2025-08-14T23:14:15.4759427Z timm_regnet                         PASS
2025-08-14T23:14:15.4764142Z timm_resnest                        PASS
2025-08-14T23:14:15.4768709Z timm_vision_transformer             PASS
2025-08-14T23:14:15.4773887Z timm_vision_transformer_large       PASS
2025-08-14T23:14:15.4778527Z timm_vovnet                         PASS
2025-08-14T23:14:15.4783112Z torch_multimodal_clip               PASS
2025-08-14T23:14:15.4787599Z tts_angular                         PASS
2025-08-14T23:14:15.4792415Z vgg16                               PASS
2025-08-14T23:14:15.4796903Z vision_maskrcnn                     PASS
2025-08-14T23:14:15.4801612Z yolov3                              PASS_BUT_FLAKY
2025-08-14T23:14:15.5337879Z + test_single_dynamo_benchmark training torchbench 1 --training --amp
2025-08-14T23:14:15.5342234Z ++ pwd
2025-08-14T23:14:15.5345573Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports
2025-08-14T23:14:15.5346184Z + mkdir -p /var/lib/jenkins/workspace/test/test-reports
2025-08-14T23:14:15.5383276Z + local name=training
2025-08-14T23:14:15.5383628Z + shift
2025-08-14T23:14:15.5383917Z + local suite=torchbench
2025-08-14T23:14:15.5384237Z + shift
2025-08-14T23:14:15.5384500Z + local shard_id=1
2025-08-14T23:14:15.5384794Z + shift
2025-08-14T23:14:15.5385072Z + partition_flags=()
2025-08-14T23:14:15.5385418Z + local partition_flags
2025-08-14T23:14:15.5385724Z + [[ -n 2 ]]
2025-08-14T23:14:15.5385928Z + [[ -n 1 ]]
2025-08-14T23:14:15.5386319Z + partition_flags=(--total-partitions "$NUM_TEST_SHARDS" --partition-id "$shard_id")
2025-08-14T23:14:15.5386816Z + [[ inductor_torchbench == *perf_compare* ]]
2025-08-14T23:14:15.5387144Z + [[ inductor_torchbench == *perf* ]]
2025-08-14T23:14:15.5387451Z + [[ inductor_torchbench == *_avx2* ]]
2025-08-14T23:14:15.5387766Z + [[ inductor_torchbench == *_avx512* ]]
2025-08-14T23:14:15.5388900Z + python benchmarks/dynamo/torchbench.py --ci --accuracy --timing --explain --print-compilation-time --inductor --device cuda --training --amp --total-partitions 2 --partition-id 1 --output /var/lib/jenkins/workspace/test/test-reports/training_torchbench.csv
2025-08-14T23:14:22.1336951Z 
2025-08-14T23:14:22.6664191Z loading model: 0it [00:00, ?it/s]
2025-08-14T23:14:22.6664645Z loading model: 0it [00:00, ?it/s]
2025-08-14T23:14:22.6665080Z cuda train llava                              
2025-08-14T23:14:22.6670889Z Traceback (most recent call last):
2025-08-14T23:14:22.6671569Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 4124, in run
2025-08-14T23:14:22.6672189Z     ) = runner.load_model(
2025-08-14T23:14:22.6672660Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 325, in load_model
2025-08-14T23:14:22.6673180Z     benchmark = benchmark_cls(
2025-08-14T23:14:22.6673579Z   File "/torchbench/torchbenchmark/util/model.py", line 43, in __call__
2025-08-14T23:14:22.6674013Z     obj = type.__call__(cls, *args, **kwargs)
2025-08-14T23:14:22.6674479Z   File "/torchbench/torchbenchmark/models/llava/__init__.py", line 12, in __init__
2025-08-14T23:14:22.6674925Z     super().__init__(
2025-08-14T23:14:22.6675417Z   File "/torchbench/torchbenchmark/util/framework/huggingface/model_factory.py", line 32, in __init__
2025-08-14T23:14:22.6675960Z     super().__init__(
2025-08-14T23:14:22.6676330Z   File "/torchbench/torchbenchmark/util/model.py", line 110, in __init__
2025-08-14T23:14:22.6676766Z     self._skip_by_device_name()
2025-08-14T23:14:22.6677213Z   File "/torchbench/torchbenchmark/util/model.py", line 202, in _skip_by_device_name
2025-08-14T23:14:22.6677695Z     raise NotImplementedError(
2025-08-14T23:14:22.6678195Z NotImplementedError: The current device NVIDIA A10G is skipped by its `llava/metadata.yaml`.
2025-08-14T23:14:22.6678598Z 
2025-08-14T23:14:22.6678695Z model_fail_to_load
2025-08-14T23:14:26.8082461Z 
2025-08-14T23:14:27.6768763Z loading model: 0it [00:00, ?it/s]
2025-08-14T23:14:27.6778259Z loading model: 0it [00:00, ?it/s]
2025-08-14T23:14:27.6778600Z cuda train maml_omniglot                      
2025-08-14T23:14:37.7700204Z W0814 23:14:37.769000 31409 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function <class 'torch.autograd.profiler.record_function'> will be ignored
2025-08-14T23:14:41.6545124Z Compilation time (from dynamo_timed): 12.610832126000002
2025-08-14T23:14:41.6545917Z pass
2025-08-14T23:14:41.6547605Z TIMING: gc:0.0048 entire_frame_compile:8.29411 _recursive_pre_grad_passes:0.00882 pad_mm_benchmark:0.40099 _recursive_joint_graph_passes:0.75435 _recursive_post_grad_passes:0.06052 async_compile.precompile:0.59749 async_compile.wait:1.892 code_gen:7.14991 inductor_compile:8.36912 backend_compile:6.92744 cudagraphify.get_container:0.00294 entire_backward_compile:4.31672 CUDAGraphNode.record:0.00706 total_wall_time:12.61083
2025-08-14T23:14:41.6549602Z STATS: call_* op count: 107 | FakeTensor.__torch_dispatch__:2651 | FakeTensorMode.__torch_dispatch__:4321 | ProxyTorchDispatchMode.__torch_dispatch__:1641
2025-08-14T23:14:41.6550407Z Dynamo produced 3 graphs covering 107 ops with 7 graph breaks (5 unique)
2025-08-14T23:14:47.2514291Z 
2025-08-14T23:14:47.5796190Z loading model: 0it [00:00, ?it/s]
2025-08-14T23:14:47.5796516Z loading model: 0it [00:00, ?it/s]
2025-08-14T23:14:47.5796839Z cuda train microbench_unbacked_tolist_sum     
2025-08-14T23:14:53.3816330Z W0814 23:14:53.380000 31969 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] Graph break from `Tensor.item()`, consider setting:
2025-08-14T23:14:53.3817765Z W0814 23:14:53.380000 31969 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0]     torch._dynamo.config.capture_scalar_outputs = True
2025-08-14T23:14:53.3818788Z W0814 23:14:53.380000 31969 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] or:
2025-08-14T23:14:53.3819573Z W0814 23:14:53.380000 31969 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0]     env TORCHDYNAMO_CAPTURE_SCALAR_OUTPUTS=1
2025-08-14T23:14:53.3820495Z W0814 23:14:53.380000 31969 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] to include these operations in the captured graph.
2025-08-14T23:14:53.3821265Z W0814 23:14:53.380000 31969 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] 
2025-08-14T23:14:53.3821975Z W0814 23:14:53.380000 31969 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] Graph break: from user code at:
2025-08-14T23:14:53.3823220Z W0814 23:14:53.380000 31969 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0]   File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-14T23:14:53.3824773Z W0814 23:14:53.380000 31969 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0]     pred = mod(*cloned_inputs)
2025-08-14T23:14:53.3825880Z W0814 23:14:53.380000 31969 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0]   File "/torchbench/torchbenchmark/models/microbench_unbacked_tolist_sum/__init__.py", line 18, in forward
2025-08-14T23:14:53.3826941Z W0814 23:14:53.380000 31969 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0]     sum += tv[i].item()
2025-08-14T23:14:53.3827611Z W0814 23:14:53.380000 31969 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] 
2025-08-14T23:14:53.3828208Z W0814 23:14:53.380000 31969 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] 
2025-08-14T23:14:57.8942170Z W0814 23:14:57.893000 31969 site-packages/torch/_logging/_internal.py:1199] [9/0] Profiler function <class 'torch.autograd.profiler.record_function'> will be ignored
2025-08-14T23:14:58.6108274Z Compilation time (from dynamo_timed): 9.682093567
2025-08-14T23:14:58.6108776Z pass
2025-08-14T23:14:58.6110819Z TIMING: gc:0.00625 entire_frame_compile:9.68209 _recursive_pre_grad_passes:0.00684 _recursive_joint_graph_passes:0.15967 inductor_compile:0.30967 backend_compile:1.44623 _recursive_post_grad_passes:0.02252 async_compile.precompile:0.15979 async_compile.wait:0.00017 code_gen:0.22121 cudagraphify.get_container:0.0022 CUDAGraphNode.record:0.00094 total_wall_time:9.68209
2025-08-14T23:14:58.6113490Z STATS: call_* op count: 30 | FakeTensor.__torch_dispatch__:3132 | FakeTensorMode.__torch_dispatch__:11564 | ProxyTorchDispatchMode.__torch_dispatch__:93
2025-08-14T23:14:58.6114696Z Dynamo produced 4 graphs covering 30 ops with 8 graph breaks (6 unique)
2025-08-14T23:15:06.9786110Z 
2025-08-14T23:15:09.5786875Z loading model: 0it [00:00, ?it/s]
2025-08-14T23:15:09.5788460Z loading model: 0it [00:02, ?it/s]
2025-08-14T23:15:09.5788772Z cuda train mnasnet1_0                         
2025-08-14T23:15:41.8684013Z W0814 23:15:41.867000 32079 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function <class 'torch.autograd.profiler.record_function'> will be ignored
2025-08-14T23:16:14.8226950Z Compilation time (from dynamo_timed): 60.14682191
2025-08-14T23:16:14.8246140Z pass
2025-08-14T23:16:14.8277739Z TIMING: gc:0.00636 entire_frame_compile:50.59935 _recursive_pre_grad_passes:0.02967 pad_mm_benchmark:0.2126 _recursive_joint_graph_passes:0.66248 _recursive_post_grad_passes:0.50041 async_compile.wait:2.28518 code_gen:17.3785 inductor_compile:29.84279 backend_compile:36.88991 cudagraphify.get_container:0.00304 entire_backward_compile:9.54747 CUDAGraphNode.record:0.13747 total_wall_time:60.14682
2025-08-14T23:16:14.8279626Z STATS: call_* op count: 965 | FakeTensorMode.__torch_dispatch__:41601 | FakeTensor.__torch_dispatch__:32389 | ProxyTorchDispatchMode.__torch_dispatch__:18737
2025-08-14T23:16:14.8280458Z Dynamo produced 3 graphs covering 965 ops with 7 graph breaks (5 unique)
2025-08-14T23:16:22.3693408Z 
2025-08-14T23:16:24.3418289Z loading model: 0it [00:00, ?it/s]
2025-08-14T23:16:24.3418626Z loading model: 0it [00:01, ?it/s]
2025-08-14T23:16:24.3418940Z cuda train mobilenet_v2                       
2025-08-14T23:16:58.3290842Z Compilation time (from dynamo_timed): 30.343332603
2025-08-14T23:16:58.3310944Z pass
2025-08-14T23:16:58.3366638Z TIMING: gc:0.00407 entire_frame_compile:18.77191 _recursive_pre_grad_passes:0.0088 pad_mm_benchmark:0.03776 _recursive_joint_graph_passes:0.36685 _recursive_post_grad_passes:0.50922 async_compile.wait:0.14163 code_gen:8.43941 inductor_compile:15.88046 backend_compile:12.53329 cudagraphify.get_container:0.00299 entire_backward_compile:11.57142 CUDAGraphNode.record:0.06313 total_wall_time:30.34333
2025-08-14T23:16:58.3368571Z STATS: call_* op count: 157 | FakeTensorMode.__torch_dispatch__:23795 | FakeTensor.__torch_dispatch__:20186 | ProxyTorchDispatchMode.__torch_dispatch__:10380
2025-08-14T23:16:58.3369423Z Dynamo produced 2 graphs covering 157 ops with 6 graph breaks (5 unique)
2025-08-14T23:17:04.7327531Z 
2025-08-14T23:17:06.6587663Z loading model: 0it [00:00, ?it/s]
2025-08-14T23:17:06.6588097Z loading model: 0it [00:01, ?it/s]
2025-08-14T23:17:06.6588436Z cuda train mobilenet_v2_quantized_qat         
2025-08-14T23:17:06.6588779Z Traceback (most recent call last):
2025-08-14T23:17:06.6589304Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 1963, in validate_model
2025-08-14T23:17:06.6589862Z     self.model_iter_fn(model, example_inputs)
2025-08-14T23:17:06.6590467Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in forward_and_backward_pass
2025-08-14T23:17:06.6591067Z     pred = mod(*cloned_inputs)
2025-08-14T23:17:06.6591632Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/graph_module.py", line 837, in call_wrapped
2025-08-14T23:17:06.6592275Z     return self._wrapped_call(self, *args, **kwargs)
2025-08-14T23:17:06.6592877Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/graph_module.py", line 413, in __call__
2025-08-14T23:17:06.6593414Z     raise e
2025-08-14T23:17:06.6593885Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/graph_module.py", line 400, in __call__
2025-08-14T23:17:06.6594550Z     return super(self.cls, obj).__call__(*args, **kwargs)  # type: ignore[misc]
2025-08-14T23:17:06.6595296Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1775, in _wrapped_call_impl
2025-08-14T23:17:06.6595929Z     return self._call_impl(*args, **kwargs)
2025-08-14T23:17:06.6596512Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1786, in _call_impl
2025-08-14T23:17:06.6597103Z     return forward_call(*args, **kwargs)
2025-08-14T23:17:06.6597436Z   File "<eval_with_key>.3", line 207, in forward
2025-08-14T23:17:06.6598382Z     activation_post_process_101 = self.activation_post_process_101(classifier_1);  classifier_1 = None
2025-08-14T23:17:06.6599361Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1775, in _wrapped_call_impl
2025-08-14T23:17:06.6599993Z     return self._call_impl(*args, **kwargs)
2025-08-14T23:17:06.6600575Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1786, in _call_impl
2025-08-14T23:17:06.6601150Z     return forward_call(*args, **kwargs)
2025-08-14T23:17:06.6601766Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fake_quantize.py", line 411, in forward
2025-08-14T23:17:06.6602414Z     return torch.fused_moving_avg_obs_fake_quant(
2025-08-14T23:17:06.6602819Z RuntimeError: expected scalar type Float but found Half
2025-08-14T23:17:06.6603083Z 
2025-08-14T23:17:06.6603290Z The above exception was the direct cause of the following exception:
2025-08-14T23:17:06.6603612Z 
2025-08-14T23:17:06.6603724Z Traceback (most recent call last):
2025-08-14T23:17:06.6604195Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 4124, in run
2025-08-14T23:17:06.6604676Z     ) = runner.load_model(
2025-08-14T23:17:06.6605149Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 401, in load_model
2025-08-14T23:17:06.6605685Z     self.validate_model(model, example_inputs)
2025-08-14T23:17:06.6606213Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 1965, in validate_model
2025-08-14T23:17:06.6606763Z     raise RuntimeError("Eager run failed") from e
2025-08-14T23:17:06.6607105Z RuntimeError: Eager run failed
2025-08-14T23:17:06.6607285Z 
2025-08-14T23:17:06.6607373Z eager_fail_to_run
2025-08-14T23:17:10.9720894Z 
2025-08-14T23:17:13.3317310Z loading model: 0it [00:00, ?it/s]
2025-08-14T23:17:13.3317961Z loading model: 0it [00:02, ?it/s]
2025-08-14T23:17:13.3318586Z cuda train mobilenet_v3_large                 
2025-08-14T23:17:52.3376937Z W0814 23:17:52.336000 35863 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function <class 'torch.autograd.profiler.record_function'> will be ignored
2025-08-14T23:18:29.1727830Z E0814 23:18:29.171000 35863 site-packages/torch/_dynamo/utils.py:3104] RMSE (res-fp64): 1.15112, (ref-fp64): 0.38281 and shape=torch.Size([672, 112, 1, 1]). res.dtype: torch.float32, multiplier: 3.000000, tol: 0.001000, use_larger_multiplier_for_smaller_tensor: 0
2025-08-14T23:18:29.1729476Z E0814 23:18:29.172000 35863 site-packages/torch/_dynamo/utils.py:2965] Accuracy failed for key name features.12.block.0.0.weight.grad
2025-08-14T23:18:29.1996769Z Compilation time (from dynamo_timed): 71.017613056
2025-08-14T23:18:29.2017387Z pass
2025-08-14T23:18:29.2055783Z TIMING: gc:0.00622 entire_frame_compile:57.95507 _recursive_pre_grad_passes:0.03213 pad_mm_benchmark:0.2122 _recursive_joint_graph_passes:0.96035 _recursive_post_grad_passes:0.67592 async_compile.wait:2.93306 code_gen:21.75907 inductor_compile:36.45202 backend_compile:42.32566 cudagraphify.get_container:0.00388 entire_backward_compile:13.06254 CUDAGraphNode.record:0.16846 total_wall_time:71.01761
2025-08-14T23:18:29.2057752Z STATS: call_* op count: 1080 | FakeTensorMode.__torch_dispatch__:47112 | FakeTensor.__torch_dispatch__:39547 | ProxyTorchDispatchMode.__torch_dispatch__:20796
2025-08-14T23:18:29.2058580Z Dynamo produced 3 graphs covering 1080 ops with 7 graph breaks (5 unique)
2025-08-14T23:18:36.9341885Z 
2025-08-14T23:18:39.3403032Z loading model: 0it [00:00, ?it/s]
2025-08-14T23:18:39.3403681Z loading model: 0it [00:02, ?it/s]
2025-08-14T23:18:39.3404277Z cuda train moco                               
2025-08-14T23:18:44.6549710Z [rank0]:W0814 23:18:44.654000 38888 site-packages/torch/_logging/_internal.py:1199] [2/0] Profiler function <class 'torch.autograd.profiler.record_function'> will be ignored
2025-08-14T23:18:54.7587860Z [rank0]:W0814 23:18:54.757000 38888 site-packages/torch/_dynamo/backends/distributed.py:106] [6/0_1] Some buckets were extended beyond their requested parameter capacities in order to ensure each subgraph has an output node, required for fx graph partitioning. This can be the case when a subgraph would have only contained nodes performing inplace mutation, and returning no logical outputs. This should not be a problem, unless it results in too few graph partitions for optimal DDP performance.
2025-08-14T23:18:54.7868541Z [rank0]:W0814 23:18:54.786000 38888 site-packages/torch/_dynamo/backends/distributed.py:123] [6/0_1] DDPOptimizer extended these buckets to ensure per-subgraph output nodes:
2025-08-14T23:18:54.7870056Z [rank0]:W0814 23:18:54.786000 38888 site-packages/torch/_dynamo/backends/distributed.py:123] [6/0_1] ┌─────────┬─────────────┬────────────────────────┐
2025-08-14T23:18:54.7871175Z [rank0]:W0814 23:18:54.786000 38888 site-packages/torch/_dynamo/backends/distributed.py:123] [6/0_1] │   Index │   Extra Ops │   Extra Param Size (b) │
2025-08-14T23:18:54.7872300Z [rank0]:W0814 23:18:54.786000 38888 site-packages/torch/_dynamo/backends/distributed.py:123] [6/0_1] ├─────────┼─────────────┼────────────────────────┤
2025-08-14T23:18:54.7873418Z [rank0]:W0814 23:18:54.786000 38888 site-packages/torch/_dynamo/backends/distributed.py:123] [6/0_1] │       0 │         480 │               94032128 │
2025-08-14T23:18:54.7874523Z [rank0]:W0814 23:18:54.786000 38888 site-packages/torch/_dynamo/backends/distributed.py:123] [6/0_1] └─────────┴─────────────┴────────────────────────┘
2025-08-14T23:19:20.2436318Z [rank0]:W0814 23:19:20.242000 38888 site-packages/torch/_dynamo/variables/tensor.py:1048] [9/0] Graph break from `Tensor.item()`, consider setting:
2025-08-14T23:19:20.2439034Z [rank0]:W0814 23:19:20.242000 38888 site-packages/torch/_dynamo/variables/tensor.py:1048] [9/0]     torch._dynamo.config.capture_scalar_outputs = True
2025-08-14T23:19:20.2440044Z [rank0]:W0814 23:19:20.242000 38888 site-packages/torch/_dynamo/variables/tensor.py:1048] [9/0] or:
2025-08-14T23:19:20.2440844Z [rank0]:W0814 23:19:20.242000 38888 site-packages/torch/_dynamo/variables/tensor.py:1048] [9/0]     env TORCHDYNAMO_CAPTURE_SCALAR_OUTPUTS=1
2025-08-14T23:19:20.2441867Z [rank0]:W0814 23:19:20.242000 38888 site-packages/torch/_dynamo/variables/tensor.py:1048] [9/0] to include these operations in the captured graph.
2025-08-14T23:19:20.2442684Z [rank0]:W0814 23:19:20.242000 38888 site-packages/torch/_dynamo/variables/tensor.py:1048] [9/0] 
2025-08-14T23:19:20.2443441Z [rank0]:W0814 23:19:20.242000 38888 site-packages/torch/_dynamo/variables/tensor.py:1048] [9/0] Graph break: from user code at:
2025-08-14T23:19:20.2444634Z [rank0]:W0814 23:19:20.242000 38888 site-packages/torch/_dynamo/variables/tensor.py:1048] [9/0]   File "/torchbench/torchbenchmark/models/moco/moco/builder.py", line 167, in torch_dynamo_resume_in_forward_at_142
2025-08-14T23:19:20.2445848Z [rank0]:W0814 23:19:20.242000 38888 site-packages/torch/_dynamo/variables/tensor.py:1048] [9/0]     self._dequeue_and_enqueue(k)
2025-08-14T23:19:20.2447079Z [rank0]:W0814 23:19:20.242000 38888 site-packages/torch/_dynamo/variables/tensor.py:1048] [9/0]   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_contextlib.py", line 120, in decorate_context
2025-08-14T23:19:20.2448285Z [rank0]:W0814 23:19:20.242000 38888 site-packages/torch/_dynamo/variables/tensor.py:1048] [9/0]     return func(*args, **kwargs)
2025-08-14T23:19:20.2449426Z [rank0]:W0814 23:19:20.242000 38888 site-packages/torch/_dynamo/variables/tensor.py:1048] [9/0]   File "/torchbench/torchbenchmark/models/moco/moco/builder.py", line 68, in _dequeue_and_enqueue
2025-08-14T23:19:20.2450551Z [rank0]:W0814 23:19:20.242000 38888 site-packages/torch/_dynamo/variables/tensor.py:1048] [9/0]     ptr = int(self.queue_ptr)
2025-08-14T23:19:20.2451445Z [rank0]:W0814 23:19:20.242000 38888 site-packages/torch/_dynamo/variables/tensor.py:1048] [9/0] 
2025-08-14T23:19:20.2452092Z [rank0]:W0814 23:19:20.242000 38888 site-packages/torch/_dynamo/variables/tensor.py:1048] [9/0] 
2025-08-14T23:19:52.7918559Z Compilation time (from dynamo_timed): 67.226653982
2025-08-14T23:19:52.7965980Z pass
2025-08-14T23:19:52.8322491Z TIMING: gc:0.01017 entire_frame_compile:53.29832 _recursive_pre_grad_passes:0.11056 _recursive_joint_graph_passes:1.16387 inductor_compile:27.95676 backend_compile:30.61209 _recursive_post_grad_passes:0.73091 async_compile.wait:2.17408 code_gen:17.2639 pad_mm_benchmark:0.20828 cudagraphify.get_container:0.00882 entire_backward_compile:13.92834 CUDAGraphNode.record:0.09089 total_wall_time:67.22665
2025-08-14T23:19:52.8325716Z STATS: call_* op count: 887 | FakeTensorMode.__torch_dispatch__:47936 | ProxyTorchDispatchMode.__torch_dispatch__:20269 | FakeTensor.__torch_dispatch__:31414
2025-08-14T23:19:52.8327001Z Dynamo produced 10 graphs covering 887 ops with 13 graph breaks (9 unique)
2025-08-14T23:19:54.8695148Z [rank0]:[W814 23:19:54.836575151 ProcessGroupNCCL.cpp:1519] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
2025-08-14T23:20:00.8716276Z 
2025-08-14T23:20:02.7715718Z loading model: 0it [00:00, ?it/s]number of parameters: 123.69M
2025-08-14T23:20:03.0121429Z num decayed parameter tensors: 50, with 124,354,560 parameters
2025-08-14T23:20:03.0121934Z num non-decayed parameter tensors: 98, with 121,344 parameters
2025-08-14T23:20:03.0124151Z using fused AdamW: True
2025-08-14T23:20:03.5625040Z 
2025-08-14T23:20:03.5625320Z loading model: 0it [00:02, ?it/s]
2025-08-14T23:20:03.5625672Z cuda train nanogpt                            
2025-08-14T23:20:28.4026764Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from   File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-14T23:20:28.4028386Z     pred = mod(*cloned_inputs)
2025-08-14T23:20:28.4029094Z   File "/torchbench/torchbenchmark/models/nanogpt/model.py", line 240, in forward
2025-08-14T23:20:28.4029605Z     x[:, [-1], :]
2025-08-14T23:20:28.4029748Z 
2025-08-14T23:20:28.4031261Z 
2025-08-14T23:20:28.5570608Z W0814 23:20:28.556000 41528 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function <class 'torch.autograd.profiler.record_function'> will be ignored
2025-08-14T23:20:56.4859992Z Compilation time (from dynamo_timed): 50.101682136
2025-08-14T23:20:56.4878197Z pass
2025-08-14T23:20:56.5541081Z TIMING: gc:0.00632 entire_frame_compile:42.77575 _recursive_pre_grad_passes:0.0289 pad_mm_benchmark:0.27401 _recursive_joint_graph_passes:1.19197 _recursive_post_grad_passes:0.85229 async_compile.wait:2.21686 code_gen:15.15184 inductor_compile:26.17356 backend_compile:33.53947 cudagraphify.get_container:0.0389 entire_backward_compile:7.32593 CUDAGraphNode.record:0.02607 total_wall_time:50.10168
2025-08-14T23:20:56.5542964Z STATS: call_* op count: 1156 | FakeTensorMode.__torch_dispatch__:47298 | FakeTensor.__torch_dispatch__:30828 | ProxyTorchDispatchMode.__torch_dispatch__:20463
2025-08-14T23:20:56.5543814Z Dynamo produced 3 graphs covering 1156 ops with 7 graph breaks (5 unique)
2025-08-14T23:21:03.4110407Z 
2025-08-14T23:21:05.9853569Z loading model: 0it [00:00, ?it/s]
2025-08-14T23:21:05.9854054Z loading model: 0it [00:02, ?it/s]
2025-08-14T23:21:05.9854465Z cuda train nvidia_deeprecommender             
2025-08-14T23:21:12.7749201Z W0814 23:21:12.774000 42218 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function <class 'torch.autograd.profiler.record_function'> will be ignored
2025-08-14T23:21:16.3261877Z Compilation time (from dynamo_timed): 8.296319146
2025-08-14T23:21:16.3262245Z pass
2025-08-14T23:21:16.3532078Z TIMING: gc:0.00431 entire_frame_compile:7.53597 _recursive_pre_grad_passes:0.00904 pad_mm_benchmark:0.96874 _recursive_joint_graph_passes:1.35321 _recursive_post_grad_passes:0.07647 async_compile.precompile:0.49879 async_compile.wait:1.67422 code_gen:3.12383 inductor_compile:3.97191 backend_compile:6.41641 cudagraphify.get_container:0.01516 entire_backward_compile:0.76035 CUDAGraphNode.record:0.00724 total_wall_time:8.29632
2025-08-14T23:21:16.3534780Z STATS: call_* op count: 96 | FakeTensorMode.__torch_dispatch__:3951 | FakeTensor.__torch_dispatch__:2719 | ProxyTorchDispatchMode.__torch_dispatch__:1592
2025-08-14T23:21:16.3535589Z Dynamo produced 3 graphs covering 96 ops with 7 graph breaks (5 unique)
2025-08-14T23:21:21.7708514Z 
2025-08-14T23:21:22.8727974Z loading model: 0it [00:00, ?it/s]
2025-08-14T23:21:22.8728336Z loading model: 0it [00:01, ?it/s]
2025-08-14T23:21:22.8728649Z cuda train opacus_cifar10                     
2025-08-14T23:21:22.8744982Z Traceback (most recent call last):
2025-08-14T23:21:22.8745509Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 1963, in validate_model
2025-08-14T23:21:22.8746083Z     self.model_iter_fn(model, example_inputs)
2025-08-14T23:21:22.8746696Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 493, in forward_and_backward_pass
2025-08-14T23:21:22.8747399Z     self.grad_scaler.scale(loss).backward()
2025-08-14T23:21:22.8748130Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py", line 625, in backward
2025-08-14T23:21:22.8758756Z     torch.autograd.backward(
2025-08-14T23:21:22.8759376Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/__init__.py", line 354, in backward
2025-08-14T23:21:22.8759971Z     _engine_run_backward(
2025-08-14T23:21:22.8760526Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py", line 841, in _engine_run_backward
2025-08-14T23:21:22.8761335Z     return Variable._execution_engine.run_backward(  # Calls into the C++ engine to run the backward pass
2025-08-14T23:21:22.8762102Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 88, in __call__
2025-08-14T23:21:22.8762677Z     return self.hook(module, *args, **kwargs)
2025-08-14T23:21:22.8763362Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/opacus/grad_sample/grad_sample_module.py", line 327, in capture_backprops_hook
2025-08-14T23:21:22.8764109Z     activations, backprops = self.rearrange_grad_samples(
2025-08-14T23:21:22.8764829Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/opacus/grad_sample/grad_sample_module.py", line 383, in rearrange_grad_samples
2025-08-14T23:21:22.8765485Z     raise ValueError(
2025-08-14T23:21:22.8766015Z ValueError: No activations detected for <class 'torch.nn.modules.linear.Linear'>, run forward after add_hooks(model)
2025-08-14T23:21:22.8766493Z 
2025-08-14T23:21:22.8766703Z The above exception was the direct cause of the following exception:
2025-08-14T23:21:22.8767019Z 
2025-08-14T23:21:22.8767129Z Traceback (most recent call last):
2025-08-14T23:21:22.8767593Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 4124, in run
2025-08-14T23:21:22.8768059Z     ) = runner.load_model(
2025-08-14T23:21:22.8768666Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 401, in load_model
2025-08-14T23:21:22.8769219Z     self.validate_model(model, example_inputs)
2025-08-14T23:21:22.8769750Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 1965, in validate_model
2025-08-14T23:21:22.8770283Z     raise RuntimeError("Eager run failed") from e
2025-08-14T23:21:22.8770617Z RuntimeError: Eager run failed
2025-08-14T23:21:22.8770802Z 
2025-08-14T23:21:22.8770889Z eager_fail_to_run
2025-08-14T23:21:27.1547850Z 
2025-08-14T23:21:28.1352608Z loading model: 0it [00:00, ?it/s]
2025-08-14T23:21:28.1353260Z loading model: 0it [00:00, ?it/s]
2025-08-14T23:21:28.1353882Z cuda train phlippe_densenet                   
2025-08-14T23:22:00.6884498Z Compilation time (from dynamo_timed): 30.791599981
2025-08-14T23:22:00.6904333Z pass
2025-08-14T23:22:00.6910740Z TIMING: gc:0.00309 entire_frame_compile:20.21173 _recursive_pre_grad_passes:0.0091 pad_mm_benchmark:0.2103 _recursive_joint_graph_passes:0.79202 _recursive_post_grad_passes:0.7176 async_compile.wait:0.29364 code_gen:10.23606 inductor_compile:15.87996 backend_compile:13.70625 cudagraphify.get_container:0.00261 entire_backward_compile:10.57987 CUDAGraphNode.record:0.05704 total_wall_time:30.7916
2025-08-14T23:22:00.6912864Z STATS: call_* op count: 190 | FakeTensorMode.__torch_dispatch__:24437 | FakeTensor.__torch_dispatch__:16980 | ProxyTorchDispatchMode.__torch_dispatch__:11251
2025-08-14T23:22:00.6913690Z Dynamo produced 2 graphs covering 190 ops with 6 graph breaks (5 unique)
2025-08-14T23:22:06.8990398Z 
2025-08-14T23:22:07.7157894Z loading model: 0it [00:00, ?it/s]
2025-08-14T23:22:07.7158328Z loading model: 0it [00:00, ?it/s]
2025-08-14T23:22:07.7158732Z cuda train phlippe_resnet                     
2025-08-14T23:22:19.7043013Z Compilation time (from dynamo_timed): 10.541791603
2025-08-14T23:22:19.7048022Z pass
2025-08-14T23:22:19.7049874Z TIMING: gc:0.00402 entire_frame_compile:7.76124 _recursive_pre_grad_passes:0.0059 pad_mm_benchmark:0.21762 _recursive_joint_graph_passes:0.44732 _recursive_post_grad_passes:0.16992 async_compile.wait:0.12818 code_gen:2.37639 inductor_compile:4.49512 backend_compile:5.36265 cudagraphify.get_container:0.00293 entire_backward_compile:2.78055 CUDAGraphNode.record:0.01602 total_wall_time:10.54179
2025-08-14T23:22:19.7052302Z STATS: call_* op count: 75 | FakeTensorMode.__torch_dispatch__:8957 | FakeTensor.__torch_dispatch__:6307 | ProxyTorchDispatchMode.__torch_dispatch__:4232
2025-08-14T23:22:19.7053104Z Dynamo produced 2 graphs covering 75 ops with 6 graph breaks (5 unique)
2025-08-14T23:22:25.4028516Z 
2025-08-14T23:22:26.7178505Z loading model: 0it [00:00, ?it/s]
2025-08-14T23:22:26.7178861Z loading model: 0it [00:01, ?it/s]
2025-08-14T23:22:26.7179176Z cuda train pytorch_CycleGAN_and_pix2pix       
2025-08-14T23:22:53.9813709Z Compilation time (from dynamo_timed): 20.969137355
2025-08-14T23:22:53.9818188Z pass
2025-08-14T23:22:53.9922323Z TIMING: gc:0.0035 entire_frame_compile:11.48391 _recursive_pre_grad_passes:0.00544 _recursive_joint_graph_passes:0.4294 _recursive_post_grad_passes:0.31584 async_compile.wait:2.07259 code_gen:9.1195 inductor_compile:13.08033 backend_compile:9.39343 cudagraphify.get_container:0.00631 CachingAutotuner.benchmark_all_configs:0.63558 entire_backward_compile:9.48523 CUDAGraphNode.record:0.01706 total_wall_time:20.96914
2025-08-14T23:22:53.9926762Z STATS: call_* op count: 95 | FakeTensorMode.__torch_dispatch__:14329 | FakeTensor.__torch_dispatch__:12428 | ProxyTorchDispatchMode.__torch_dispatch__:7141
2025-08-14T23:22:53.9928106Z Dynamo produced 2 graphs covering 95 ops with 6 graph breaks (5 unique)
2025-08-14T23:22:59.9638143Z 
2025-08-14T23:23:01.5620840Z loading model: 0it [00:00, ?it/s]
2025-08-14T23:23:01.5621184Z loading model: 0it [00:01, ?it/s]
2025-08-14T23:23:01.5621491Z cuda train pytorch_stargan                    
2025-08-14T23:23:31.0592202Z Compilation time (from dynamo_timed): 11.946010423999999
2025-08-14T23:23:31.0601175Z pass
2025-08-14T23:23:31.0682489Z TIMING: gc:0.00339 entire_frame_compile:9.01818 _recursive_pre_grad_passes:0.00569 _recursive_joint_graph_passes:0.41264 _recursive_post_grad_passes:0.16252 async_compile.wait:0.12455 code_gen:3.21271 inductor_compile:5.42696 backend_compile:6.85418 cudagraphify.get_container:0.00604 entire_backward_compile:2.92783 CUDAGraphNode.record:0.01639 total_wall_time:11.94601
2025-08-14T23:23:31.0684358Z STATS: call_* op count: 60 | FakeTensorMode.__torch_dispatch__:12451 | FakeTensor.__torch_dispatch__:6561 | ProxyTorchDispatchMode.__torch_dispatch__:5363
2025-08-14T23:23:31.0685176Z Dynamo produced 2 graphs covering 60 ops with 6 graph breaks (5 unique)
2025-08-14T23:23:36.7053122Z 
2025-08-14T23:23:37.7945702Z loading model: 0it [00:00, ?it/s]
2025-08-14T23:23:37.7946051Z loading model: 0it [00:01, ?it/s]
2025-08-14T23:23:37.7946366Z cuda train pytorch_unet                       
2025-08-14T23:24:23.5676756Z W0814 23:24:23.566000 46733 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function <class 'torch.autograd.profiler.record_function'> will be ignored
2025-08-14T23:24:39.1652153Z Compilation time (from dynamo_timed): 36.891244101
2025-08-14T23:24:39.1660847Z pass_due_to_skip
2025-08-14T23:24:39.1750086Z TIMING: gc:0.00587 entire_frame_compile:26.61398 _recursive_pre_grad_passes:0.01722 _recursive_joint_graph_passes:0.30809 _recursive_post_grad_passes:0.27441 async_compile.wait:2.47925 code_gen:16.62506 inductor_compile:22.45985 backend_compile:20.62157 cudagraphify.get_container:0.00475 CachingAutotuner.benchmark_all_configs:3.34458 entire_backward_compile:10.27726 CUDAGraphNode.record:0.04215 total_wall_time:36.89124
2025-08-14T23:24:39.1753373Z STATS: call_* op count: 464 | FakeTensorMode.__torch_dispatch__:21929 | FakeTensor.__torch_dispatch__:16243 | ProxyTorchDispatchMode.__torch_dispatch__:9646
2025-08-14T23:24:39.1754658Z Dynamo produced 3 graphs covering 464 ops with 7 graph breaks (5 unique)
2025-08-14T23:24:45.4760938Z 
2025-08-14T23:24:48.5148910Z loading model: 0it [00:00, ?it/s]
2025-08-14T23:24:48.5149367Z loading model: 0it [00:03, ?it/s]
2025-08-14T23:24:48.5149797Z cuda train resnet152                          
2025-08-14T23:26:07.1650785Z W0814 23:26:07.164000 49330 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function <class 'torch.autograd.profiler.record_function'> will be ignored
2025-08-14T23:27:59.8423622Z Compilation time (from dynamo_timed): 179.772793642
2025-08-14T23:27:59.8481326Z pass
2025-08-14T23:27:59.8875621Z TIMING: gc:0.00678 entire_frame_compile:155.62253 _recursive_pre_grad_passes:0.07583 pad_mm_benchmark:0.21129 _recursive_joint_graph_passes:1.25443 _recursive_post_grad_passes:1.49847 async_compile.wait:4.34303 code_gen:50.3362 inductor_compile:92.82514 backend_compile:116.85943 cudagraphify.get_container:0.02463 entire_backward_compile:24.15026 CUDAGraphNode.record:0.98317 total_wall_time:179.77279
2025-08-14T23:27:59.8877555Z STATS: call_* op count: 2873 | FakeTensorMode.__torch_dispatch__:119580 | FakeTensor.__torch_dispatch__:96440 | ProxyTorchDispatchMode.__torch_dispatch__:56937
2025-08-14T23:27:59.8878412Z Dynamo produced 3 graphs covering 2873 ops with 7 graph breaks (5 unique)
2025-08-14T23:28:11.2251113Z 
2025-08-14T23:28:12.7274477Z loading model: 0it [00:00, ?it/s]
2025-08-14T23:28:12.7274852Z loading model: 0it [00:01, ?it/s]
2025-08-14T23:28:12.7275153Z cuda train resnet18                           
2025-08-14T23:28:30.0004124Z Compilation time (from dynamo_timed): 14.695099332
2025-08-14T23:28:30.0010233Z pass
2025-08-14T23:28:30.0087601Z TIMING: gc:0.00381 entire_frame_compile:8.43354 _recursive_pre_grad_passes:0.00613 pad_mm_benchmark:0.22629 _recursive_joint_graph_passes:0.45416 _recursive_post_grad_passes:0.37718 async_compile.wait:0.69593 code_gen:6.12751 inductor_compile:8.69855 backend_compile:6.20353 cudagraphify.get_container:0.00216 entire_backward_compile:6.26156 CUDAGraphNode.record:0.01652 total_wall_time:14.6951
2025-08-14T23:28:30.0090507Z STATS: call_* op count: 73 | FakeTensorMode.__torch_dispatch__:9238 | FakeTensor.__torch_dispatch__:6392 | ProxyTorchDispatchMode.__torch_dispatch__:4228
2025-08-14T23:28:30.0091877Z Dynamo produced 2 graphs covering 73 ops with 6 graph breaks (5 unique)
2025-08-14T23:28:35.8258731Z 
2025-08-14T23:28:38.1464491Z loading model: 0it [00:00, ?it/s]
2025-08-14T23:28:38.1464821Z loading model: 0it [00:02, ?it/s]
2025-08-14T23:28:38.1465131Z cuda train resnet50                           
2025-08-14T23:29:11.6927706Z Compilation time (from dynamo_timed): 28.171239507
2025-08-14T23:29:11.6948428Z pass
2025-08-14T23:29:11.7116962Z TIMING: gc:0.00541 entire_frame_compile:18.18123 _recursive_pre_grad_passes:0.00908 pad_mm_benchmark:0.03805 _recursive_joint_graph_passes:0.36396 _recursive_post_grad_passes:0.4042 async_compile.wait:0.10378 code_gen:8.94037 inductor_compile:14.29074 backend_compile:12.34134 cudagraphify.get_container:0.00448 entire_backward_compile:9.99001 CUDAGraphNode.record:0.05817 total_wall_time:28.17124
2025-08-14T23:29:11.7118904Z STATS: call_* op count: 179 | FakeTensorMode.__torch_dispatch__:22990 | FakeTensor.__torch_dispatch__:16664 | ProxyTorchDispatchMode.__torch_dispatch__:11015
2025-08-14T23:29:11.7120151Z Dynamo produced 2 graphs covering 179 ops with 6 graph breaks (5 unique)
2025-08-14T23:29:18.1716604Z 
2025-08-14T23:29:20.3700578Z loading model: 0it [00:00, ?it/s]
2025-08-14T23:29:20.3701051Z loading model: 0it [00:02, ?it/s]
2025-08-14T23:29:20.3701364Z cuda train resnet50_quantized_qat             
2025-08-14T23:29:20.3701926Z Traceback (most recent call last):
2025-08-14T23:29:20.3702555Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 1963, in validate_model
2025-08-14T23:29:20.3703102Z     self.model_iter_fn(model, example_inputs)
2025-08-14T23:29:20.3703701Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in forward_and_backward_pass
2025-08-14T23:29:20.3704294Z     pred = mod(*cloned_inputs)
2025-08-14T23:29:20.3704858Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/graph_module.py", line 837, in call_wrapped
2025-08-14T23:29:20.3705469Z     return self._wrapped_call(self, *args, **kwargs)
2025-08-14T23:29:20.3706075Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/graph_module.py", line 413, in __call__
2025-08-14T23:29:20.3706621Z     raise e
2025-08-14T23:29:20.3707091Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/graph_module.py", line 400, in __call__
2025-08-14T23:29:20.3707754Z     return super(self.cls, obj).__call__(*args, **kwargs)  # type: ignore[misc]
2025-08-14T23:29:20.3708490Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1775, in _wrapped_call_impl
2025-08-14T23:29:20.3709120Z     return self._call_impl(*args, **kwargs)
2025-08-14T23:29:20.3709701Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1786, in _call_impl
2025-08-14T23:29:20.3710289Z     return forward_call(*args, **kwargs)
2025-08-14T23:29:20.3710618Z   File "<eval_with_key>.3", line 167, in forward
2025-08-14T23:29:20.3711077Z     activation_post_process_73 = self.activation_post_process_73(fc);  fc = None
2025-08-14T23:29:20.3711823Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1775, in _wrapped_call_impl
2025-08-14T23:29:20.3712447Z     return self._call_impl(*args, **kwargs)
2025-08-14T23:29:20.3713031Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1786, in _call_impl
2025-08-14T23:29:20.3713616Z     return forward_call(*args, **kwargs)
2025-08-14T23:29:20.3714228Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fake_quantize.py", line 411, in forward
2025-08-14T23:29:20.3714875Z     return torch.fused_moving_avg_obs_fake_quant(
2025-08-14T23:29:20.3715272Z RuntimeError: expected scalar type Float but found Half
2025-08-14T23:29:20.3715536Z 
2025-08-14T23:29:20.3715741Z The above exception was the direct cause of the following exception:
2025-08-14T23:29:20.3716056Z 
2025-08-14T23:29:20.3716171Z Traceback (most recent call last):
2025-08-14T23:29:20.3716633Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 4124, in run
2025-08-14T23:29:20.3717108Z     ) = runner.load_model(
2025-08-14T23:29:20.3717582Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 401, in load_model
2025-08-14T23:29:20.3727603Z     self.validate_model(model, example_inputs)
2025-08-14T23:29:20.3728160Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 1965, in validate_model
2025-08-14T23:29:20.3728701Z     raise RuntimeError("Eager run failed") from e
2025-08-14T23:29:20.3729045Z RuntimeError: Eager run failed
2025-08-14T23:29:20.3729233Z 
2025-08-14T23:29:20.3729325Z eager_fail_to_run
2025-08-14T23:29:24.7107287Z 
2025-08-14T23:29:26.9684702Z loading model: 0it [00:00, ?it/s]
2025-08-14T23:29:26.9685359Z loading model: 0it [00:02, ?it/s]
2025-08-14T23:29:26.9685967Z cuda train resnext50_32x4d                    
2025-08-14T23:30:00.5403220Z W0814 23:30:00.539000 51772 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function <class 'torch.autograd.profiler.record_function'> will be ignored
2025-08-14T23:30:33.9093928Z Compilation time (from dynamo_timed): 60.417638269
2025-08-14T23:30:33.9113314Z pass
2025-08-14T23:30:33.9234422Z TIMING: gc:0.00735 entire_frame_compile:50.66097 _recursive_pre_grad_passes:0.03026 pad_mm_benchmark:0.03795 _recursive_joint_graph_passes:0.50052 _recursive_post_grad_passes:0.50715 async_compile.wait:2.66506 code_gen:17.733 inductor_compile:30.36443 backend_compile:37.08477 cudagraphify.get_container:0.00741 entire_backward_compile:9.75666 CachingAutotuner.benchmark_all_configs:0.05747 CUDAGraphNode.record:0.13816 total_wall_time:60.41764
2025-08-14T23:30:33.9236494Z STATS: call_* op count: 1003 | FakeTensorMode.__torch_dispatch__:41619 | FakeTensor.__torch_dispatch__:33188 | ProxyTorchDispatchMode.__torch_dispatch__:19571
2025-08-14T23:30:33.9237309Z Dynamo produced 3 graphs covering 1003 ops with 7 graph breaks (5 unique)
2025-08-14T23:30:41.3693059Z 
2025-08-14T23:30:49.1676160Z loading model: 0it [00:00, ?it/s]
2025-08-14T23:30:49.1676499Z loading model: 0it [00:07, ?it/s]
2025-08-14T23:30:49.1676838Z cuda train sam                                
2025-08-14T23:30:49.1687290Z Traceback (most recent call last):
2025-08-14T23:30:49.1687950Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 1963, in validate_model
2025-08-14T23:30:49.1688511Z     self.model_iter_fn(model, example_inputs)
2025-08-14T23:30:49.1689178Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 493, in forward_and_backward_pass
2025-08-14T23:30:49.1689799Z     self.grad_scaler.scale(loss).backward()
2025-08-14T23:30:49.1690346Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py", line 625, in backward
2025-08-14T23:30:49.1690895Z     torch.autograd.backward(
2025-08-14T23:30:49.1691539Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/__init__.py", line 354, in backward
2025-08-14T23:30:49.1692119Z     _engine_run_backward(
2025-08-14T23:30:49.1692690Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py", line 841, in _engine_run_backward
2025-08-14T23:30:49.1693526Z     return Variable._execution_engine.run_backward(  # Calls into the C++ engine to run the backward pass
2025-08-14T23:30:49.1694206Z RuntimeError: element 0 of tensors does not require grad and does not have a grad_fn
2025-08-14T23:30:49.1694567Z 
2025-08-14T23:30:49.1694787Z The above exception was the direct cause of the following exception:
2025-08-14T23:30:49.1695096Z 
2025-08-14T23:30:49.1695209Z Traceback (most recent call last):
2025-08-14T23:30:49.1695678Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 4124, in run
2025-08-14T23:30:49.1696152Z     ) = runner.load_model(
2025-08-14T23:30:49.1696628Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 401, in load_model
2025-08-14T23:30:49.1697176Z     self.validate_model(model, example_inputs)
2025-08-14T23:30:49.1697724Z   File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 1965, in validate_model
2025-08-14T23:30:49.1698284Z     raise RuntimeError("Eager run failed") from e
2025-08-14T23:30:49.1698620Z RuntimeError: Eager run failed
2025-08-14T23:30:49.1698810Z 
2025-08-14T23:30:49.1698899Z eager_fail_to_run
2025-08-14T23:30:53.5368409Z 
2025-08-14T23:30:54.9143807Z loading model: 0it [00:00, ?it/s]
2025-08-14T23:30:54.9144151Z loading model: 0it [00:01, ?it/s]
2025-08-14T23:30:54.9144464Z cuda train shufflenet_v2_x1_0                 
2025-08-14T23:31:36.6254850Z Compilation time (from dynamo_timed): 39.024000708
2025-08-14T23:31:36.6275337Z pass
2025-08-14T23:31:36.6291029Z TIMING: gc:0.00536 entire_frame_compile:21.23914 _recursive_pre_grad_passes:0.00984 pad_mm_benchmark:0.2126 _recursive_joint_graph_passes:0.61523 _recursive_post_grad_passes:0.48778 async_compile.wait:1.18775 code_gen:16.25475 inductor_compile:23.68402 backend_compile:14.84925 cudagraphify.get_container:0.00219 entire_backward_compile:17.78486 CUDAGraphNode.record:0.06845 total_wall_time:39.024
2025-08-14T23:31:36.6294023Z STATS: call_* op count: 275 | FakeTensorMode.__torch_dispatch__:26244 | FakeTensor.__torch_dispatch__:19916 | ProxyTorchDispatchMode.__torch_dispatch__:11979
2025-08-14T23:31:36.6295009Z Dynamo produced 2 graphs covering 275 ops with 6 graph breaks (5 unique)
2025-08-14T23:31:43.1586788Z 
2025-08-14T23:31:43.2664964Z loading model: 0it [00:00, ?it/s]Gym has been unmaintained since 2022 and does not support NumPy 2.0 amongst other critical functionality.
2025-08-14T23:31:43.2665984Z Please upgrade to Gymnasium, the maintained drop-in replacement of Gym, or contact the authors of your software and request that they upgrade.
2025-08-14T23:31:43.2666960Z Users of this version of Gym should be able to simply replace 'import gym' with 'import gymnasium as gym' in the vast majority of cases.
2025-08-14T23:31:43.2667883Z See the migration guide at https://gymnasium.farama.org/introduction/migration_guide/ for additional information.
2025-08-14T23:31:44.1272884Z 
2025-08-14T23:31:44.1273282Z loading model: 0it [00:00, ?it/s]
2025-08-14T23:31:44.1273776Z cuda train soft_actor_critic                  
2025-08-14T23:31:49.3573207Z W0814 23:31:49.356000 54669 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function <class 'torch.autograd.profiler.record_function'> will be ignored
2025-08-14T23:31:51.1101372Z Compilation time (from dynamo_timed): 5.744772920999999
2025-08-14T23:31:51.1101738Z pass
2025-08-14T23:31:51.1105872Z TIMING: gc:0.00623 entire_frame_compile:4.91659 _recursive_pre_grad_passes:0.00788 pad_mm_benchmark:0.32637 _recursive_joint_graph_passes:0.51095 _recursive_post_grad_passes:0.07916 async_compile.precompile:0.88686 async_compile.wait:0.85743 code_gen:2.24915 inductor_compile:2.76662 backend_compile:4.07726 cudagraphify.get_container:0.00441 entire_backward_compile:0.82818 CUDAGraphNode.record:0.00701 total_wall_time:5.74477
2025-08-14T23:31:51.1107898Z STATS: call_* op count: 70 | FakeTensorMode.__torch_dispatch__:2551 | FakeTensor.__torch_dispatch__:1220 | ProxyTorchDispatchMode.__torch_dispatch__:947
2025-08-14T23:31:51.1108702Z Dynamo produced 4 graphs covering 70 ops with 6 graph breaks (5 unique)
2025-08-14T23:31:56.5361016Z 
2025-08-14T23:31:57.9336961Z loading model: 0it [00:00, ?it/s]
2025-08-14T23:31:57.9337306Z loading model: 0it [00:01, ?it/s]
2025-08-14T23:31:57.9337627Z cuda train speech_transformer                 
2025-08-14T23:32:13.3143196Z W0814 23:32:13.313000 55022 site-packages/torch/_inductor/utils.py:2236] [9/0_1] DeviceCopy in input program
2025-08-14T23:32:14.5517266Z cudagraph partition due to non gpu ops
2025-08-14T23:32:14.5518095Z cudagraph partition due to non gpu ops
2025-08-14T23:32:14.5518720Z cudagraph partition due to non gpu ops
2025-08-14T23:32:14.5519346Z cudagraph partition due to non gpu ops
2025-08-14T23:32:14.5519968Z cudagraph partition due to non gpu ops
2025-08-14T23:32:14.5520580Z cudagraph partition due to non gpu ops
2025-08-14T23:32:14.5521246Z cudagraph partition due to non gpu ops
2025-08-14T23:32:14.5521883Z cudagraph partition due to DeviceCopy ops
2025-08-14T23:32:14.5983118Z cudagraph partition into 2 partitions
2025-08-14T23:32:43.7906253Z W0814 23:32:43.789000 55022 site-packages/torch/_inductor/utils.py:2236] [15/0_1] DeviceCopy in input program
2025-08-14T23:32:45.6575979Z cudagraph partition due to non gpu ops
2025-08-14T23:32:45.6578897Z cudagraph partition due to non gpu ops
2025-08-14T23:32:45.6579244Z cudagraph partition due to non gpu ops
2025-08-14T23:32:45.6579585Z cudagraph partition due to non gpu ops
2025-08-14T23:32:45.6579905Z cudagraph partition due to non gpu ops
2025-08-14T23:32:45.6580222Z cudagraph partition due to non gpu ops
2025-08-14T23:32:45.6580537Z cudagraph partition due to non gpu ops
2025-08-14T23:32:45.6580856Z cudagraph partition due to non gpu ops
2025-08-14T23:32:45.6581173Z cudagraph partition due to non gpu ops
2025-08-14T23:32:45.6581487Z cudagraph partition due to non gpu ops
2025-08-14T23:32:45.6582168Z cudagraph partition due to non gpu ops
2025-08-14T23:32:45.6582490Z cudagraph partition due to non gpu ops
2025-08-14T23:32:45.6582954Z cudagraph partition due to non gpu ops
2025-08-14T23:32:45.6583288Z cudagraph partition due to DeviceCopy ops
2025-08-14T23:32:45.7308750Z cudagraph partition into 2 partitions
2025-08-14T23:32:51.6676654Z W0814 23:32:51.666000 55022 site-packages/torch/_inductor/utils.py:2236] [15/0_1] DeviceCopy in input program
2025-08-14T23:32:54.6798451Z cudagraph partition due to non gpu ops
2025-08-14T23:32:54.6799323Z cudagraph partition due to non gpu ops
2025-08-14T23:32:54.6799702Z cudagraph partition due to non gpu ops
2025-08-14T23:32:54.6800012Z cudagraph partition due to non gpu ops
2025-08-14T23:32:54.6800320Z cudagraph partition due to non gpu ops
2025-08-14T23:32:54.6800631Z cudagraph partition due to non gpu ops
2025-08-14T23:32:54.6800939Z cudagraph partition due to non gpu ops
2025-08-14T23:32:54.6801252Z cudagraph partition due to non gpu ops
2025-08-14T23:32:54.6801594Z cudagraph partition due to non gpu ops
2025-08-14T23:32:54.6801903Z cudagraph partition due to non gpu ops
2025-08-14T23:32:54.6802230Z cudagraph partition due to non gpu ops
2025-08-14T23:32:54.6802543Z cudagraph partition due to non gpu ops
2025-08-14T23:32:54.6802863Z cudagraph partition due to non gpu ops
2025-08-14T23:32:54.6803211Z cudagraph partition due to DeviceCopy ops
2025-08-14T23:32:54.8034874Z cudagraph partition into 2 partitions
2025-08-14T23:32:57.9062517Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from   File "/torchbench/torchbenchmark/models/speech_transformer/speech_transformer/transformer/decoder.py", line 126, in torch_dynamo_resume_in_forward_at_120
2025-08-14T23:32:57.9063773Z     self.tgt_word_emb(ys_in_pad) * self.x_logit_scale
2025-08-14T23:32:57.9064029Z 
2025-08-14T23:32:57.9064034Z 
2025-08-14T23:37:58.9339499Z Run failed with return code:  -11
2025-08-14T23:37:58.9339923Z Output:  None
2025-08-14T23:37:58.9340175Z Error:  None
2025-08-14T23:38:02.2055689Z 
2025-08-14T23:38:03.5112692Z loading model: 0it [00:00, ?it/s]
2025-08-14T23:38:03.5113048Z loading model: 0it [00:01, ?it/s]
2025-08-14T23:38:03.5113467Z cuda train squeezenet1_1                      
2025-08-14T23:38:23.1177621Z Compilation time (from dynamo_timed): 17.425431041
2025-08-14T23:38:23.1181408Z pass
2025-08-14T23:38:23.1198561Z TIMING: gc:0.00329 entire_frame_compile:6.85567 _recursive_pre_grad_passes:0.00533 _recursive_joint_graph_passes:0.1992 _recursive_post_grad_passes:0.09955 async_compile.wait:0.74276 code_gen:11.51058 inductor_compile:12.98924 backend_compile:5.01889 cudagraphify.get_container:0.00216 entire_backward_compile:10.56976 CUDAGraphNode.record:0.01341 total_wall_time:17.42543
2025-08-14T23:38:23.1209980Z STATS: call_* op count: 70 | FakeTensorMode.__torch_dispatch__:6307 | FakeTensor.__torch_dispatch__:2690 | ProxyTorchDispatchMode.__torch_dispatch__:2534
2025-08-14T23:38:23.1210786Z Dynamo produced 2 graphs covering 70 ops with 6 graph breaks (5 unique)
2025-08-14T23:38:28.8921866Z 
2025-08-14T23:38:30.8019651Z loading model: 0it [00:00, ?it/s]
2025-08-14T23:38:30.8019889Z 
2025-08-14T23:38:31.0508169Z Loading pipeline components...:   0% 0/6 [00:00<?, ?it/s]
2025-08-14T23:38:31.0508480Z 
2025-08-14T23:38:31.2054671Z Loading pipeline components...:  50% 3/6 [00:00<00:00, 12.06it/s]
2025-08-14T23:38:31.2055061Z 
2025-08-14T23:38:31.9543427Z Loading pipeline components...:  83% 5/6 [00:00<00:00, 12.47it/s]
2025-08-14T23:38:31.9543978Z Loading pipeline components...: 100% 6/6 [00:01<00:00,  5.21it/s]
2025-08-14T23:38:33.6967573Z 
2025-08-14T23:38:33.6968172Z loading model: 0it [00:04, ?it/s]
2025-08-14T23:38:33.6968619Z cuda train stable_diffusion_text_encoder      
2025-08-14T23:38:33.7399818Z WARNING:common:fp64 golden ref were not generated for stable_diffusion_text_encoder. Setting accuracy check to cosine
2025-08-14T23:39:20.5392324Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from   File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-14T23:39:20.5394096Z     pred = mod(*cloned_inputs)
2025-08-14T23:39:20.5396698Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 961, in wrapper
2025-08-14T23:39:20.5397353Z     output = func(self, *args, **kwargs)
2025-08-14T23:39:20.5398005Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/clip/modeling_clip.py", line 715, in forward
2025-08-14T23:39:20.5398644Z     return self.text_model(
2025-08-14T23:39:20.5399254Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/clip/modeling_clip.py", line 644, in forward
2025-08-14T23:39:20.5399905Z     pooled_output = last_hidden_state[
2025-08-14T23:39:20.5400126Z 
2025-08-14T23:39:20.5400132Z 
2025-08-14T23:39:21.3025306Z Compilation time (from dynamo_timed): 44.967121846
2025-08-14T23:39:21.3046639Z pass
2025-08-14T23:39:21.3818282Z TIMING: gc:0.00597 entire_frame_compile:34.2798 _recursive_pre_grad_passes:0.01274 pad_mm_benchmark:0.86841 _recursive_joint_graph_passes:3.0036 _recursive_post_grad_passes:2.20828 async_compile.wait:0.06662 code_gen:10.35653 inductor_compile:20.30705 backend_compile:25.67256 cudagraphify.get_container:0.22513 entire_backward_compile:10.68733 CUDAGraphNode.record:0.06287 total_wall_time:44.96712
2025-08-14T23:39:21.3822130Z STATS: call_* op count: 621 | FakeTensorMode.__torch_dispatch__:66890 | FakeTensor.__torch_dispatch__:31723 | ProxyTorchDispatchMode.__torch_dispatch__:28492
2025-08-14T23:39:21.3823109Z Dynamo produced 2 graphs covering 621 ops with 5 graph breaks (5 unique)
2025-08-14T23:39:28.3618077Z 
2025-08-14T23:39:30.2427329Z loading model: 0it [00:00, ?it/s]
2025-08-14T23:39:30.2427665Z 
2025-08-14T23:39:30.8930356Z Loading pipeline components...:   0% 0/6 [00:00<?, ?it/s]
2025-08-14T23:39:30.8930959Z 
2025-08-14T23:39:31.1991199Z Loading pipeline components...:  50% 3/6 [00:00<00:00,  4.61it/s]
2025-08-14T23:39:31.1991523Z 
2025-08-14T23:39:31.3284879Z Loading pipeline components...:  67% 4/6 [00:00<00:00,  4.07it/s]
2025-08-14T23:39:31.3285575Z 
2025-08-14T23:39:31.3285918Z Loading pipeline components...: 100% 6/6 [00:01<00:00,  6.30it/s]
2025-08-14T23:39:31.3286452Z Loading pipeline components...: 100% 6/6 [00:01<00:00,  5.53it/s]
2025-08-14T23:39:33.8288602Z 
2025-08-14T23:39:33.8289168Z loading model: 0it [00:05, ?it/s]
2025-08-14T23:39:33.8289539Z cuda train stable_diffusion_unet              
2025-08-14T23:39:33.8533666Z Compilation time (from dynamo_timed): 0
2025-08-14T23:39:33.8534087Z pass_due_to_skip
2025-08-14T23:39:34.1757675Z TIMING: total_wall_time:0
2025-08-14T23:39:34.1758065Z STATS: call_* op count: 0
2025-08-14T23:39:34.1758548Z Dynamo produced 0 graphs covering 0 ops with 0 graph breaks (0 unique)
2025-08-14T23:39:38.6909196Z 
2025-08-14T23:39:41.9665459Z loading model: 0it [00:00, ?it/s]
2025-08-14T23:39:41.9665837Z loading model: 0it [00:03, ?it/s]
2025-08-14T23:39:41.9666162Z cuda train timm_efficientnet                  
2025-08-14T23:40:27.7342192Z W0814 23:40:27.733000 58078 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function <class 'torch.autograd.profiler.record_function'> will be ignored
2025-08-14T23:41:14.2611404Z E0814 23:41:14.260000 58078 site-packages/torch/_dynamo/utils.py:3104] RMSE (res-fp64): 0.13174, (ref-fp64): 0.03610 and shape=torch.Size([320, 1152, 1, 1]). res.dtype: torch.float32, multiplier: 3.000000, tol: 0.080000, use_larger_multiplier_for_smaller_tensor: 1
2025-08-14T23:41:14.2613414Z E0814 23:41:14.260000 58078 site-packages/torch/_dynamo/utils.py:2965] Accuracy failed for key name blocks.6.0.conv_pwl.weight.grad
2025-08-14T23:41:14.2881195Z Compilation time (from dynamo_timed): 86.255924654
2025-08-14T23:41:14.2906760Z fail_accuracy
2025-08-14T23:41:14.2962129Z TIMING: gc:0.00553 entire_frame_compile:70.78489 _recursive_pre_grad_passes:0.03641 pad_mm_benchmark:0.03818 _recursive_joint_graph_passes:0.61254 _recursive_post_grad_passes:1.50579 async_compile.wait:2.59329 code_gen:25.71346 inductor_compile:45.38904 backend_compile:51.90835 cudagraphify.get_container:0.00329 entire_backward_compile:15.47103 CUDAGraphNode.record:0.24779 total_wall_time:86.25592
2025-08-14T23:41:14.2964219Z STATS: call_* op count: 1327 | FakeTensorMode.__torch_dispatch__:57559 | FakeTensor.__torch_dispatch__:49079 | ProxyTorchDispatchMode.__torch_dispatch__:25577
2025-08-14T23:41:14.2965042Z Dynamo produced 3 graphs covering 1327 ops with 7 graph breaks (5 unique)
2025-08-14T23:41:22.5652387Z 
2025-08-14T23:41:25.8646358Z loading model: 0it [00:00, ?it/s]
2025-08-14T23:41:25.8647007Z loading model: 0it [00:03, ?it/s]
2025-08-14T23:41:25.8647608Z cuda train timm_regnet                        
2025-08-14T23:42:15.3045752Z W0814 23:42:15.303000 61228 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function <class 'torch.autograd.profiler.record_function'> will be ignored
2025-08-14T23:43:13.3996852Z W0814 23:43:13.398000 61228 site-packages/torch/_dynamo/utils.py:3049] Found nan in reference. Consider running in higher precision.
2025-08-14T23:43:13.4004179Z W0814 23:43:13.399000 61228 site-packages/torch/_dynamo/utils.py:3049] Found nan in reference. Consider running in higher precision.
2025-08-14T23:43:13.4012728Z W0814 23:43:13.400000 61228 site-packages/torch/_dynamo/utils.py:3049] Found nan in reference. Consider running in higher precision.
2025-08-14T23:43:13.4019036Z W0814 23:43:13.401000 61228 site-packages/torch/_dynamo/utils.py:3049] Found nan in reference. Consider running in higher precision.
2025-08-14T23:43:13.4026044Z W0814 23:43:13.402000 61228 site-packages/torch/_dynamo/utils.py:3049] Found nan in reference. Consider running in higher precision.
2025-08-14T23:43:13.4037366Z W0814 23:43:13.403000 61228 site-packages/torch/_dynamo/utils.py:3049] Found nan in reference. Consider running in higher precision.
2025-08-14T23:43:13.4044673Z W0814 23:43:13.403000 61228 site-packages/torch/_dynamo/utils.py:3049] Found nan in reference. Consider running in higher precision.
2025-08-14T23:43:13.4052138Z W0814 23:43:13.404000 61228 site-packages/torch/_dynamo/utils.py:3049] Found nan in reference. Consider running in higher precision.
2025-08-14T23:43:13.4059690Z W0814 23:43:13.405000 61228 site-packages/torch/_dynamo/utils.py:3049] Found nan in reference. Consider running in higher precision.
2025-08-14T23:43:13.4066870Z W0814 23:43:13.406000 61228 site-packages/torch/_dynamo/utils.py:3049] Found nan in reference. Consider running in higher precision.
2025-08-14T23:43:13.4073908Z W0814 23:43:13.406000 61228 site-packages/torch/_dynamo/utils.py:3049] Found nan in reference. Consider running in higher precision.
2025-08-14T23:43:13.4081126Z W0814 23:43:13.407000 61228 site-packages/torch/_dynamo/utils.py:3049] Found nan in reference. Consider running in higher precision.
2025-08-14T23:43:13.4096888Z W0814 23:43:13.409000 61228 site-packages/torch/_dynamo/utils.py:3049] Found nan in reference. Consider running in higher precision.
2025-08-14T23:43:13.4104103Z W0814 23:43:13.409000 61228 site-packages/torch/_dynamo/utils.py:3049] Found nan in reference. Consider running in higher precision.
2025-08-14T23:43:13.4111544Z W0814 23:43:13.410000 61228 site-packages/torch/_dynamo/utils.py:3049] Found nan in reference. Consider running in higher precision.
2025-08-14T23:43:13.4118956Z W0814 23:43:13.411000 61228 site-packages/torch/_dynamo/utils.py:3049] Found nan in reference. Consider running in higher precision.
2025-08-14T23:43:13.4126237Z W0814 23:43:13.412000 61228 site-packages/torch/_dynamo/utils.py:3049] Found nan in reference. Consider running in higher precision.
2025-08-14T23:43:13.4134119Z W0814 23:43:13.412000 61228 site-packages/torch/_dynamo/utils.py:3049] Found nan in reference. Consider running in higher precision.
2025-08-14T23:43:13.4141516Z W0814 23:43:13.413000 61228 site-packages/torch/_dynamo/utils.py:3049] Found nan in reference. Consider running in higher precision.
2025-08-14T23:43:13.4148774Z W0814 23:43:13.414000 61228 site-packages/torch/_dynamo/utils.py:3049] Found nan in reference. Consider running in higher precision.
2025-08-14T23:43:13.4156438Z W0814 23:43:13.415000 61228 site-packages/torch/_dynamo/utils.py:3049] Found nan in reference. Consider running in higher precision.
2025-08-14T23:43:13.4171877Z W0814 23:43:13.416000 61228 site-packages/torch/_dynamo/utils.py:3049] Found nan in reference. Consider running in higher precision.
2025-08-14T23:43:13.4179240Z W0814 23:43:13.417000 61228 site-packages/torch/_dynamo/utils.py:3049] Found nan in reference. Consider running in higher precision.
2025-08-14T23:43:13.4187045Z W0814 23:43:13.418000 61228 site-packages/torch/_dynamo/utils.py:3049] Found nan in reference. Consider running in higher precision.
2025-08-14T23:43:13.4194537Z W0814 23:43:13.418000 61228 site-packages/torch/_dynamo/utils.py:3049] Found nan in reference. Consider running in higher precision.
2025-08-14T23:43:13.4201879Z W0814 23:43:13.419000 61228 site-packages/torch/_dynamo/utils.py:3049] Found nan in reference. Consider running in higher precision.
2025-08-14T23:43:13.4209533Z W0814 23:43:13.420000 61228 site-packages/torch/_dynamo/utils.py:3049] Found nan in reference. Consider running in higher precision.
2025-08-14T23:43:13.4229636Z W0814 23:43:13.422000 61228 site-packages/torch/_dynamo/utils.py:3049] Found nan in reference. Consider running in higher precision.
2025-08-14T23:43:13.4236834Z W0814 23:43:13.423000 61228 site-packages/torch/_dynamo/utils.py:3049] Found nan in reference. Consider running in higher precision.
2025-08-14T23:43:13.4725083Z W0814 23:43:13.471000 61228 site-packages/torch/_dynamo/utils.py:3049] Found nan in reference. Consider running in higher precision.
2025-08-14T23:43:13.4732680Z W0814 23:43:13.472000 61228 site-packages/torch/_dynamo/utils.py:3049] Found nan in reference. Consider running in higher precision.
2025-08-14T23:43:13.4740297Z W0814 23:43:13.473000 61228 site-packages/torch/_dynamo/utils.py:3049] Found nan in reference. Consider running in higher precision.
2025-08-14T23:43:13.4748177Z W0814 23:43:13.474000 61228 site-packages/torch/_dynamo/utils.py:3049] Found nan in reference. Consider running in higher precision.
2025-08-14T23:43:13.4755783Z W0814 23:43:13.475000 61228 site-packages/torch/_dynamo/utils.py:3049] Found nan in reference. Consider running in higher precision.
2025-08-14T23:43:13.4763549Z W0814 23:43:13.475000 61228 site-packages/torch/_dynamo/utils.py:3049] Found nan in reference. Consider running in higher precision.
2025-08-14T23:43:13.4771273Z W0814 23:43:13.476000 61228 site-packages/torch/_dynamo/utils.py:3049] Found nan in reference. Consider running in higher precision.
2025-08-14T23:43:13.4778918Z W0814 23:43:13.477000 61228 site-packages/torch/_dynamo/utils.py:3049] Found nan in reference. Consider running in higher precision.
2025-08-14T23:43:13.4786463Z W0814 23:43:13.478000 61228 site-packages/torch/_dynamo/utils.py:3049] Found nan in reference. Consider running in higher precision.
2025-08-14T23:43:13.4793945Z W0814 23:43:13.478000 61228 site-packages/torch/_dynamo/utils.py:3049] Found nan in reference. Consider running in higher precision.
2025-08-14T23:43:13.4801529Z W0814 23:43:13.479000 61228 site-packages/torch/_dynamo/utils.py:3049] Found nan in reference. Consider running in higher precision.
2025-08-14T23:43:13.4809083Z W0814 23:43:13.480000 61228 site-packages/torch/_dynamo/utils.py:3049] Found nan in reference. Consider running in higher precision.
2025-08-14T23:43:13.4825209Z W0814 23:43:13.481000 61228 site-packages/torch/_dynamo/utils.py:3049] Found nan in reference. Consider running in higher precision.
2025-08-14T23:43:13.4832767Z W0814 23:43:13.482000 61228 site-packages/torch/_dynamo/utils.py:3049] Found nan in reference. Consider running in higher precision.
2025-08-14T23:43:13.4840517Z W0814 23:43:13.483000 61228 site-packages/torch/_dynamo/utils.py:3049] Found nan in reference. Consider running in higher precision.
2025-08-14T23:43:13.4848051Z W0814 23:43:13.484000 61228 site-packages/torch/_dynamo/utils.py:3049] Found nan in reference. Consider running in higher precision.
2025-08-14T23:43:13.4856412Z W0814 23:43:13.485000 61228 site-packages/torch/_dynamo/utils.py:3049] Found nan in reference. Consider running in higher precision.
2025-08-14T23:43:13.4863913Z W0814 23:43:13.485000 61228 site-packages/torch/_dynamo/utils.py:3049] Found nan in reference. Consider running in higher precision.
2025-08-14T23:43:13.4871470Z W0814 23:43:13.486000 61228 site-packages/torch/_dynamo/utils.py:3049] Found nan in reference. Consider running in higher precision.
2025-08-14T23:43:13.4878824Z W0814 23:43:13.487000 61228 site-packages/torch/_dynamo/utils.py:3049] Found nan in reference. Consider running in higher precision.
2025-08-14T23:43:13.4886420Z W0814 23:43:13.488000 61228 site-packages/torch/_dynamo/utils.py:3049] Found nan in reference. Consider running in higher precision.
2025-08-14T23:43:13.4896495Z W0814 23:43:13.489000 61228 site-packages/torch/_dynamo/utils.py:3049] Found nan in reference. Consider running in higher precision.
2025-08-14T23:43:13.4907801Z W0814 23:43:13.490000 61228 site-packages/torch/_dynamo/utils.py:3049] Found nan in reference. Consider running in higher precision.
2025-08-14T23:43:13.4915153Z W0814 23:43:13.491000 61228 site-packages/torch/_dynamo/utils.py:3049] Found nan in reference. Consider running in higher precision.
2025-08-14T23:43:13.4923263Z W0814 23:43:13.491000 61228 site-packages/torch/_dynamo/utils.py:3049] Found nan in reference. Consider running in higher precision.
2025-08-14T23:43:13.4935567Z W0814 23:43:13.492000 61228 site-packages/torch/_dynamo/utils.py:3049] Found nan in reference. Consider running in higher precision.
2025-08-14T23:43:13.4943227Z W0814 23:43:13.493000 61228 site-packages/torch/_dynamo/utils.py:3049] Found nan in reference. Consider running in higher precision.
2025-08-14T23:43:13.4950462Z W0814 23:43:13.494000 61228 site-packages/torch/_dynamo/utils.py:3049] Found nan in reference. Consider running in higher precision.
2025-08-14T23:43:13.4969153Z W0814 23:43:13.496000 61228 site-packages/torch/_dynamo/utils.py:3049] Found nan in reference. Consider running in higher precision.
2025-08-14T23:43:13.4976148Z W0814 23:43:13.497000 61228 site-packages/torch/_dynamo/utils.py:3049] Found nan in reference. Consider running in higher precision.
2025-08-14T23:43:13.6090206Z Compilation time (from dynamo_timed): 96.724452656
2025-08-14T23:43:13.6124748Z pass
2025-08-14T23:43:13.6451408Z TIMING: gc:0.00711 entire_frame_compile:84.59687 _recursive_pre_grad_passes:0.04388 pad_mm_benchmark:0.21315 _recursive_joint_graph_passes:0.86302 _recursive_post_grad_passes:0.89788 async_compile.wait:2.60196 code_gen:26.12728 inductor_compile:46.85244 backend_compile:61.4049 cudagraphify.get_container:0.01333 entire_backward_compile:12.12758 CUDAGraphNode.record:0.3537 total_wall_time:96.72445
2025-08-14T23:43:13.6455141Z STATS: call_* op count: 1662 | FakeTensorMode.__torch_dispatch__:66852 | FakeTensor.__torch_dispatch__:54192 | ProxyTorchDispatchMode.__torch_dispatch__:31122
2025-08-14T23:43:13.6456273Z Dynamo produced 3 graphs covering 1662 ops with 7 graph breaks (5 unique)
2025-08-14T23:43:22.2774073Z 
2025-08-14T23:43:24.7251050Z loading model: 0it [00:00, ?it/s]
2025-08-14T23:43:24.7251683Z loading model: 0it [00:02, ?it/s]
2025-08-14T23:43:24.7252146Z cuda train timm_resnest                       
2025-08-14T23:43:58.9914153Z Compilation time (from dynamo_timed): 29.441772151000002
2025-08-14T23:43:58.9920779Z pass
2025-08-14T23:43:59.0007889Z TIMING: gc:0.00445 entire_frame_compile:13.32527 _recursive_pre_grad_passes:0.00705 pad_mm_benchmark:0.03769 _recursive_joint_graph_passes:0.32965 _recursive_post_grad_passes:0.67883 async_compile.wait:0.55735 code_gen:17.18576 inductor_compile:21.52235 backend_compile:10.18987 cudagraphify.get_container:0.00275 entire_backward_compile:16.1165 CUDAGraphNode.record:0.02502 total_wall_time:29.44177
2025-08-14T23:43:59.0011017Z STATS: call_* op count: 135 | FakeTensorMode.__torch_dispatch__:14273 | FakeTensor.__torch_dispatch__:9539 | ProxyTorchDispatchMode.__torch_dispatch__:6029
2025-08-14T23:43:59.0012208Z Dynamo produced 2 graphs covering 135 ops with 6 graph breaks (5 unique)
2025-08-14T23:44:05.0298766Z 
2025-08-14T23:44:07.1256211Z loading model: 0it [00:00, ?it/s]
2025-08-14T23:44:07.1256539Z loading model: 0it [00:02, ?it/s]
2025-08-14T23:44:07.1256857Z cuda train timm_vision_transformer            
2025-08-14T23:44:32.7627630Z Compilation time (from dynamo_timed): 23.21844272
2025-08-14T23:44:32.7643852Z pass
2025-08-14T23:44:32.7824614Z TIMING: gc:0.00471 entire_frame_compile:15.6423 _recursive_pre_grad_passes:0.00913 pad_mm_benchmark:1.0218 _recursive_joint_graph_passes:1.76724 _recursive_post_grad_passes:0.71535 async_compile.wait:0.10253 code_gen:7.36107 inductor_compile:12.02339 backend_compile:12.04457 cudagraphify.get_container:0.00391 entire_backward_compile:7.57615 CUDAGraphNode.record:0.06669 total_wall_time:23.21844
2025-08-14T23:44:32.7827407Z STATS: call_* op count: 267 | FakeTensorMode.__torch_dispatch__:26096 | FakeTensor.__torch_dispatch__:14497 | ProxyTorchDispatchMode.__torch_dispatch__:10935
2025-08-14T23:44:32.7829112Z Dynamo produced 2 graphs covering 267 ops with 6 graph breaks (5 unique)
2025-08-14T23:44:38.8045807Z 
2025-08-14T23:44:52.1008654Z loading model: 0it [00:00, ?it/s]
2025-08-14T23:44:52.1009002Z loading model: 0it [00:13, ?it/s]
2025-08-14T23:44:52.1009337Z cuda train timm_vision_transformer_large      
2025-08-14T23:44:52.1253882Z Compilation time (from dynamo_timed): 0
2025-08-14T23:44:52.1254198Z pass_due_to_skip
2025-08-14T23:44:52.3881152Z TIMING: total_wall_time:0
2025-08-14T23:44:52.3893880Z STATS: call_* op count: 0
2025-08-14T23:44:52.3894401Z Dynamo produced 0 graphs covering 0 ops with 0 graph breaks (0 unique)
2025-08-14T23:44:56.8052125Z 
2025-08-14T23:44:59.2531811Z loading model: 0it [00:00, ?it/s]
2025-08-14T23:44:59.2532171Z loading model: 0it [00:02, ?it/s]
2025-08-14T23:44:59.2532477Z cuda train timm_vovnet                        
2025-08-14T23:45:36.5249529Z Compilation time (from dynamo_timed): 30.283146859
2025-08-14T23:45:36.5263270Z pass
2025-08-14T23:45:36.5441546Z TIMING: gc:0.00552 entire_frame_compile:16.23674 _recursive_pre_grad_passes:0.00808 pad_mm_benchmark:0.04003 _recursive_joint_graph_passes:0.33239 _recursive_post_grad_passes:0.33383 async_compile.wait:0.20331 code_gen:14.44861 inductor_compile:18.99389 backend_compile:11.20647 cudagraphify.get_container:0.00453 entire_backward_compile:14.04641 CUDAGraphNode.record:0.04058 total_wall_time:30.28315
2025-08-14T23:45:36.5444612Z STATS: call_* op count: 134 | FakeTensorMode.__torch_dispatch__:17693 | FakeTensor.__torch_dispatch__:13522 | ProxyTorchDispatchMode.__torch_dispatch__:8530
2025-08-14T23:45:36.5445903Z Dynamo produced 2 graphs covering 134 ops with 6 graph breaks (5 unique)
2025-08-14T23:45:43.0726720Z 
2025-08-14T23:45:45.1590226Z loading model: 0it [00:00, ?it/s]
2025-08-14T23:45:45.1590592Z loading model: 0it [00:02, ?it/s]
2025-08-14T23:45:45.1590908Z cuda train torch_multimodal_clip              
2025-08-14T23:46:40.6610262Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from   File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-14T23:46:40.6611493Z     pred = mod(*cloned_inputs)
2025-08-14T23:46:40.6612098Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchmultimodal/models/clip/model.py", line 72, in forward
2025-08-14T23:46:40.6612747Z     embeddings_b = self.encoder_b(features_b)
2025-08-14T23:46:40.6613414Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchmultimodal/models/clip/text_encoder.py", line 132, in forward
2025-08-14T23:46:40.6614172Z     hidden_state[torch.arange(hidden_state.shape[0]), text.argmax(dim=-1)]
2025-08-14T23:46:40.6614498Z 
2025-08-14T23:46:40.6614502Z 
2025-08-14T23:46:40.9443346Z W0814 23:46:40.943000 66807 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function <class 'torch.autograd.profiler.record_function'> will be ignored
2025-08-14T23:47:40.5704882Z Compilation time (from dynamo_timed): 109.331995226
2025-08-14T23:47:40.5741049Z pass
2025-08-14T23:47:40.6670764Z TIMING: gc:0.00556 entire_frame_compile:93.05856 _recursive_pre_grad_passes:0.04792 pad_mm_benchmark:0.35596 _recursive_joint_graph_passes:2.21147 _recursive_post_grad_passes:2.12184 async_compile.wait:2.74468 code_gen:34.21039 inductor_compile:60.0278 backend_compile:73.47027 cudagraphify.get_container:0.03683 entire_backward_compile:16.27343 CUDAGraphNode.record:0.04234 total_wall_time:109.332
2025-08-14T23:47:40.6672677Z STATS: call_* op count: 1922 | FakeTensorMode.__torch_dispatch__:99753 | FakeTensor.__torch_dispatch__:61133 | ProxyTorchDispatchMode.__torch_dispatch__:42276
2025-08-14T23:47:40.6673504Z Dynamo produced 3 graphs covering 1922 ops with 7 graph breaks (5 unique)
2025-08-14T23:47:49.7390531Z 
2025-08-14T23:47:50.5158308Z loading model: 0it [00:00, ?it/s]
2025-08-14T23:47:50.5158703Z loading model: 0it [00:00, ?it/s]
2025-08-14T23:47:50.5159011Z cuda train tts_angular                        
2025-08-14T23:47:54.3165473Z W0814 23:47:54.315000 68170 site-packages/torch/_logging/_internal.py:1199] [10/0] Profiler function <class 'torch.autograd.profiler.record_function'> will be ignored
2025-08-14T23:47:58.3721830Z Compilation time (from dynamo_timed): 6.3544157089999995
2025-08-14T23:47:58.3723591Z pass
2025-08-14T23:47:58.3797778Z TIMING: gc:0.00858 entire_frame_compile:5.96739 _recursive_pre_grad_passes:0.00862 _recursive_joint_graph_passes:0.18132 inductor_compile:3.18652 backend_compile:4.68215 _recursive_post_grad_passes:0.04245 async_compile.precompile:0.40709 async_compile.wait:1.43406 code_gen:2.53792 entire_backward_compile:0.38702 total_wall_time:6.35442
2025-08-14T23:47:58.3799472Z STATS: call_* op count: 102 | FakeTensorMode.__torch_dispatch__:2423 | ProxyTorchDispatchMode.__torch_dispatch__:982 | FakeTensor.__torch_dispatch__:1688
2025-08-14T23:47:58.3800306Z Dynamo produced 5 graphs covering 102 ops with 9 graph breaks (6 unique)
2025-08-14T23:48:03.8321954Z 
2025-08-14T23:48:06.9488775Z loading model: 0it [00:00, ?it/s]
2025-08-14T23:48:06.9489204Z loading model: 0it [00:03, ?it/s]
2025-08-14T23:48:06.9489505Z cuda train vgg16                              
2025-08-14T23:48:34.9304457Z Compilation time (from dynamo_timed): 11.107656919
2025-08-14T23:48:34.9307259Z pass
2025-08-14T23:48:34.9515419Z TIMING: gc:0.00395 entire_frame_compile:5.6905 _recursive_pre_grad_passes:0.00506 pad_mm_benchmark:0.56943 _recursive_joint_graph_passes:0.94063 _recursive_post_grad_passes:0.10041 async_compile.wait:0.52182 code_gen:6.05632 inductor_compile:7.16367 backend_compile:4.58007 cudagraphify.get_container:0.00881 CachingAutotuner.benchmark_all_configs:1.12703 entire_backward_compile:5.41716 CUDAGraphNode.record:0.00953 total_wall_time:11.10766
2025-08-14T23:48:34.9517501Z STATS: call_* op count: 44 | FakeTensorMode.__torch_dispatch__:4649 | FakeTensor.__torch_dispatch__:1617 | ProxyTorchDispatchMode.__torch_dispatch__:1692
2025-08-14T23:48:34.9518324Z Dynamo produced 2 graphs covering 44 ops with 6 graph breaks (5 unique)
2025-08-14T23:48:40.6647614Z 
2025-08-14T23:49:07.7694429Z loading model: 0it [00:00, ?it/s]skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put.default Found from   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 185, in _roi_align
2025-08-14T23:49:07.7695705Z     val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask)  # [K, C, PH, PW, IY, IX]
2025-08-14T23:49:07.7696515Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate
2025-08-14T23:49:07.7697161Z     v4 = masked_index(y_high, x_high)
2025-08-14T23:49:07.7697742Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index
2025-08-14T23:49:07.7698319Z     return input[
2025-08-14T23:49:07.7698825Z 
2025-08-14T23:49:07.7698831Z 
2025-08-14T23:49:34.6422254Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put.default Found from   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 185, in _roi_align
2025-08-14T23:49:34.6423422Z     val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask)  # [K, C, PH, PW, IY, IX]
2025-08-14T23:49:34.6424386Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate
2025-08-14T23:49:34.6425019Z     v4 = masked_index(y_high, x_high)
2025-08-14T23:49:34.6425602Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index
2025-08-14T23:49:34.6426173Z     return input[
2025-08-14T23:49:34.6426316Z 
2025-08-14T23:49:34.6426321Z 
2025-08-14T23:49:59.5174105Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put.default Found from   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 185, in _roi_align
2025-08-14T23:49:59.5175363Z     val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask)  # [K, C, PH, PW, IY, IX]
2025-08-14T23:49:59.5176475Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate
2025-08-14T23:49:59.5177223Z     v4 = masked_index(y_high, x_high)
2025-08-14T23:49:59.5177820Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index
2025-08-14T23:49:59.5178396Z     return input[
2025-08-14T23:49:59.5178537Z 
2025-08-14T23:49:59.5178541Z 
2025-08-14T23:50:23.7986997Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put.default Found from   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 185, in _roi_align
2025-08-14T23:50:23.7988179Z     val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask)  # [K, C, PH, PW, IY, IX]
2025-08-14T23:50:23.7989028Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate
2025-08-14T23:50:23.7989686Z     v4 = masked_index(y_high, x_high)
2025-08-14T23:50:23.7990265Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index
2025-08-14T23:50:23.7990837Z     return input[
2025-08-14T23:50:23.7990976Z 
2025-08-14T23:50:23.7990981Z 
2025-08-14T23:50:48.2943001Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put.default Found from   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 185, in _roi_align
2025-08-14T23:50:48.2944572Z     val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask)  # [K, C, PH, PW, IY, IX]
2025-08-14T23:50:48.2945415Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate
2025-08-14T23:50:48.2946098Z     v4 = masked_index(y_high, x_high)
2025-08-14T23:50:48.2946692Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index
2025-08-14T23:50:48.2947272Z     return input[
2025-08-14T23:50:48.2947412Z 
2025-08-14T23:50:48.2947425Z 
2025-08-14T23:51:12.5632306Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put.default Found from   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 185, in _roi_align
2025-08-14T23:51:12.5633482Z     val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask)  # [K, C, PH, PW, IY, IX]
2025-08-14T23:51:12.5634299Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate
2025-08-14T23:51:12.5634939Z     v4 = masked_index(y_high, x_high)
2025-08-14T23:51:12.5635520Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index
2025-08-14T23:51:12.5636446Z     return input[
2025-08-14T23:51:12.5636587Z 
2025-08-14T23:51:12.5636752Z 
2025-08-14T23:51:47.5666454Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put.default Found from   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 185, in _roi_align
2025-08-14T23:51:47.5667630Z     val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask)  # [K, C, PH, PW, IY, IX]
2025-08-14T23:51:47.5668437Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate
2025-08-14T23:51:47.5669062Z     v4 = masked_index(y_high, x_high)
2025-08-14T23:51:47.5669638Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index
2025-08-14T23:51:47.5670205Z     return input[
2025-08-14T23:51:47.5670366Z 
2025-08-14T23:51:47.5670370Z 
2025-08-14T23:51:57.9394847Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put.default Found from   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 185, in _roi_align
2025-08-14T23:51:57.9396031Z     val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask)  # [K, C, PH, PW, IY, IX]
2025-08-14T23:51:57.9396846Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate
2025-08-14T23:51:57.9397487Z     v4 = masked_index(y_high, x_high)
2025-08-14T23:51:57.9398074Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index
2025-08-14T23:51:57.9398649Z     return input[
2025-08-14T23:51:57.9398789Z 
2025-08-14T23:51:57.9398794Z 
2025-08-14T23:51:59.8936126Z 
2025-08-14T23:51:59.8936564Z loading model: 0it [03:19, ?it/s]
2025-08-14T23:51:59.8937122Z cuda train vision_maskrcnn                    
2025-08-14T23:52:00.7992618Z W0814 23:52:00.798000 69525 site-packages/torch/_dynamo/convert_frame.py:1102] [0/8] torch._dynamo hit config.recompile_limit (8)
2025-08-14T23:52:00.7993784Z W0814 23:52:00.798000 69525 site-packages/torch/_dynamo/convert_frame.py:1102] [0/8]    function: '_roi_align' (/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py:114)
2025-08-14T23:52:00.7995000Z W0814 23:52:00.798000 69525 site-packages/torch/_dynamo/convert_frame.py:1102] [0/8]    last reason: 0/7: tensor 'rois' dtype mismatch. expected Float, actual Double
2025-08-14T23:52:00.7996338Z W0814 23:52:00.798000 69525 site-packages/torch/_dynamo/convert_frame.py:1102] [0/8] To log all recompilation reasons, use TORCH_LOGS="recompiles".
2025-08-14T23:52:00.7997671Z W0814 23:52:00.798000 69525 site-packages/torch/_dynamo/convert_frame.py:1102] [0/8] To diagnose recompilation issues, see https://pytorch.org/docs/main/torch.compiler_troubleshooting.html
2025-08-14T23:52:33.6696162Z W0814 23:52:33.668000 69525 site-packages/torch/_inductor/utils.py:2236] [4/0_1] DeviceCopy in input program
2025-08-14T23:52:33.6705813Z W0814 23:52:33.670000 69525 site-packages/torch/_inductor/utils.py:2236] [4/0_1] DeviceCopy in input program
2025-08-14T23:52:33.6715436Z W0814 23:52:33.671000 69525 site-packages/torch/_inductor/utils.py:2236] [4/0_1] DeviceCopy in input program
2025-08-14T23:52:33.6725770Z W0814 23:52:33.672000 69525 site-packages/torch/_inductor/utils.py:2236] [4/0_1] DeviceCopy in input program
2025-08-14T23:52:33.6737282Z W0814 23:52:33.673000 69525 site-packages/torch/_inductor/utils.py:2236] [4/0_1] DeviceCopy in input program
2025-08-14T23:52:34.3131428Z cudagraph partition due to DeviceCopy ops. Found from : 
2025-08-14T23:52:34.3132189Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/rpn.py", line 361, in forward
2025-08-14T23:52:34.3132908Z     anchors = self.anchor_generator(images, features)
2025-08-14T23:52:34.3134303Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 130, in forward
2025-08-14T23:52:34.3135497Z     cell_anchors = self.set_cell_anchors(dtype, device)
2025-08-14T23:52:34.3136282Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in set_cell_anchors
2025-08-14T23:52:34.3137139Z     return [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors]
2025-08-14T23:52:34.3137959Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in <listcomp>
2025-08-14T23:52:34.3138783Z     return [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors]
2025-08-14T23:52:34.3139163Z 
2025-08-14T23:52:34.3139339Z cudagraph partition due to DeviceCopy ops. Found from : 
2025-08-14T23:52:34.3140010Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/rpn.py", line 361, in forward
2025-08-14T23:52:34.3140668Z     anchors = self.anchor_generator(images, features)
2025-08-14T23:52:34.3141357Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 130, in forward
2025-08-14T23:52:34.3142043Z     cell_anchors = self.set_cell_anchors(dtype, device)
2025-08-14T23:52:34.3142759Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in set_cell_anchors
2025-08-14T23:52:34.3143599Z     return [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors]
2025-08-14T23:52:34.3144419Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in <listcomp>
2025-08-14T23:52:34.3145235Z     return [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors]
2025-08-14T23:52:34.3145604Z 
2025-08-14T23:52:34.3145784Z cudagraph partition due to DeviceCopy ops. Found from : 
2025-08-14T23:52:34.3146453Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/rpn.py", line 361, in forward
2025-08-14T23:52:34.3147112Z     anchors = self.anchor_generator(images, features)
2025-08-14T23:52:34.3147796Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 130, in forward
2025-08-14T23:52:34.3148484Z     cell_anchors = self.set_cell_anchors(dtype, device)
2025-08-14T23:52:34.3149198Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in set_cell_anchors
2025-08-14T23:52:34.3150038Z     return [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors]
2025-08-14T23:52:34.3150858Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in <listcomp>
2025-08-14T23:52:34.3151675Z     return [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors]
2025-08-14T23:52:34.3152048Z 
2025-08-14T23:52:34.3152221Z cudagraph partition due to DeviceCopy ops. Found from : 
2025-08-14T23:52:34.3152893Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/rpn.py", line 361, in forward
2025-08-14T23:52:34.3153545Z     anchors = self.anchor_generator(images, features)
2025-08-14T23:52:34.3154223Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 130, in forward
2025-08-14T23:52:34.3154909Z     cell_anchors = self.set_cell_anchors(dtype, device)
2025-08-14T23:52:34.3155644Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in set_cell_anchors
2025-08-14T23:52:34.3156490Z     return [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors]
2025-08-14T23:52:34.3157311Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in <listcomp>
2025-08-14T23:52:34.3158215Z     return [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors]
2025-08-14T23:52:34.3158654Z 
2025-08-14T23:52:34.3158829Z cudagraph partition due to DeviceCopy ops. Found from : 
2025-08-14T23:52:34.3159498Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/rpn.py", line 361, in forward
2025-08-14T23:52:34.3160148Z     anchors = self.anchor_generator(images, features)
2025-08-14T23:52:34.3170665Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 130, in forward
2025-08-14T23:52:34.3171476Z     cell_anchors = self.set_cell_anchors(dtype, device)
2025-08-14T23:52:34.3172207Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in set_cell_anchors
2025-08-14T23:52:34.3173060Z     return [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors]
2025-08-14T23:52:34.3173890Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/anchor_utils.py", line 77, in <listcomp>
2025-08-14T23:52:34.3174704Z     return [cell_anchor.to(dtype=dtype, device=device) for cell_anchor in self.cell_anchors]
2025-08-14T23:52:34.3175079Z 
2025-08-14T23:52:34.3364003Z cudagraph partition into 2 partitions
2025-08-14T23:52:37.1946279Z W0814 23:52:37.193000 69525 site-packages/torch/_dynamo/variables/tensor.py:1048] [17/0] Graph break from `Tensor.item()`, consider setting:
2025-08-14T23:52:37.1947305Z W0814 23:52:37.193000 69525 site-packages/torch/_dynamo/variables/tensor.py:1048] [17/0]     torch._dynamo.config.capture_scalar_outputs = True
2025-08-14T23:52:37.1948103Z W0814 23:52:37.193000 69525 site-packages/torch/_dynamo/variables/tensor.py:1048] [17/0] or:
2025-08-14T23:52:37.1948875Z W0814 23:52:37.193000 69525 site-packages/torch/_dynamo/variables/tensor.py:1048] [17/0]     env TORCHDYNAMO_CAPTURE_SCALAR_OUTPUTS=1
2025-08-14T23:52:37.1949836Z W0814 23:52:37.193000 69525 site-packages/torch/_dynamo/variables/tensor.py:1048] [17/0] to include these operations in the captured graph.
2025-08-14T23:52:37.1950633Z W0814 23:52:37.193000 69525 site-packages/torch/_dynamo/variables/tensor.py:1048] [17/0] 
2025-08-14T23:52:37.1951357Z W0814 23:52:37.193000 69525 site-packages/torch/_dynamo/variables/tensor.py:1048] [17/0] Graph break: from user code at:
2025-08-14T23:52:37.1952718Z W0814 23:52:37.193000 69525 site-packages/torch/_dynamo/variables/tensor.py:1048] [17/0]   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/generalized_rcnn.py", line 118, in torch_dynamo_resume_in_forward_at_117
2025-08-14T23:52:37.1954310Z W0814 23:52:37.193000 69525 site-packages/torch/_dynamo/variables/tensor.py:1048] [17/0]     detections, detector_losses = self.roi_heads(features, proposals, images.image_sizes, targets)
2025-08-14T23:52:37.1955733Z W0814 23:52:37.193000 69525 site-packages/torch/_dynamo/variables/tensor.py:1048] [17/0]   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/roi_heads.py", line 763, in forward
2025-08-14T23:52:37.1957106Z W0814 23:52:37.193000 69525 site-packages/torch/_dynamo/variables/tensor.py:1048] [17/0]     box_features = self.box_roi_pool(features, proposals, image_shapes)
2025-08-14T23:52:37.1958350Z W0814 23:52:37.193000 69525 site-packages/torch/_dynamo/variables/tensor.py:1048] [17/0]   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/poolers.py", line 310, in forward
2025-08-14T23:52:37.1959516Z W0814 23:52:37.193000 69525 site-packages/torch/_dynamo/variables/tensor.py:1048] [17/0]     self.scales, self.map_levels = _setup_scales(
2025-08-14T23:52:37.1960722Z W0814 23:52:37.193000 69525 site-packages/torch/_dynamo/variables/tensor.py:1048] [17/0]   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/poolers.py", line 122, in _setup_scales
2025-08-14T23:52:37.1962426Z W0814 23:52:37.193000 69525 site-packages/torch/_dynamo/variables/tensor.py:1048] [17/0]     scales = [_infer_scale(feat, original_input_shape) for feat in features]
2025-08-14T23:52:37.1963850Z W0814 23:52:37.193000 69525 site-packages/torch/_dynamo/variables/tensor.py:1048] [17/0]   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/poolers.py", line 122, in <listcomp>
2025-08-14T23:52:37.1965107Z W0814 23:52:37.193000 69525 site-packages/torch/_dynamo/variables/tensor.py:1048] [17/0]     scales = [_infer_scale(feat, original_input_shape) for feat in features]
2025-08-14T23:52:37.1966378Z W0814 23:52:37.193000 69525 site-packages/torch/_dynamo/variables/tensor.py:1048] [17/0]   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/poolers.py", line 104, in _infer_scale
2025-08-14T23:52:37.1967606Z W0814 23:52:37.193000 69525 site-packages/torch/_dynamo/variables/tensor.py:1048] [17/0]     scale = 2 ** float(torch.tensor(approx_scale).log2().round())
2025-08-14T23:52:37.1968432Z W0814 23:52:37.193000 69525 site-packages/torch/_dynamo/variables/tensor.py:1048] [17/0] 
2025-08-14T23:52:37.1969051Z W0814 23:52:37.193000 69525 site-packages/torch/_dynamo/variables/tensor.py:1048] [17/0] 
2025-08-14T23:52:37.7217725Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T23:52:37.7218526Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/poolers.py", line 125, in torch_dynamo_resume_in__setup_scales_at_122
2025-08-14T23:52:37.7219358Z     lvl_min = -torch.log2(torch.tensor(scales[0], dtype=torch.float32)).item()
2025-08-14T23:52:37.7219688Z 
2025-08-14T23:52:38.4729166Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T23:52:38.4730755Z    File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/poolers.py", line 126, in torch_dynamo_resume_in__setup_scales_at_125
2025-08-14T23:52:38.4732566Z     lvl_max = -torch.log2(torch.tensor(scales[-1], dtype=torch.float32)).item()
2025-08-14T23:52:38.4733280Z 
2025-08-14T23:52:52.4459916Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put.default Found from   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 256, in torch_dynamo_resume_in_roi_align_at_255
2025-08-14T23:52:52.4461511Z     return _roi_align(input, rois, spatial_scale, output_size[0], output_size[1], sampling_ratio, aligned)
2025-08-14T23:52:52.4462356Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/polyfills/__init__.py", line 259, in getattr_and_trace
2025-08-14T23:52:52.4462997Z     return fn(*args[2:], **kwargs)
2025-08-14T23:52:52.4463567Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/external_utils.py", line 249, in wrapper
2025-08-14T23:52:52.4464147Z     return fn(*args, **kwargs)
2025-08-14T23:52:52.4464692Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 185, in _roi_align
2025-08-14T23:52:52.4465464Z     val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask)  # [K, C, PH, PW, IY, IX]
2025-08-14T23:52:52.4466277Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate
2025-08-14T23:52:52.4466905Z     v4 = masked_index(y_high, x_high)
2025-08-14T23:52:52.4467487Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index
2025-08-14T23:52:52.4468053Z     return input[
2025-08-14T23:52:52.4468194Z 
2025-08-14T23:52:52.4468198Z 
2025-08-14T23:53:03.0907663Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put.default Found from   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 256, in torch_dynamo_resume_in_roi_align_at_255
2025-08-14T23:53:03.0909099Z     return _roi_align(input, rois, spatial_scale, output_size[0], output_size[1], sampling_ratio, aligned)
2025-08-14T23:53:03.0909959Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/polyfills/__init__.py", line 259, in getattr_and_trace
2025-08-14T23:53:03.0910867Z     return fn(*args[2:], **kwargs)
2025-08-14T23:53:03.0911599Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/external_utils.py", line 249, in wrapper
2025-08-14T23:53:03.0912182Z     return fn(*args, **kwargs)
2025-08-14T23:53:03.0912740Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 185, in _roi_align
2025-08-14T23:53:03.0913505Z     val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask)  # [K, C, PH, PW, IY, IX]
2025-08-14T23:53:03.0914319Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate
2025-08-14T23:53:03.0914954Z     v4 = masked_index(y_high, x_high)
2025-08-14T23:53:03.0915531Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index
2025-08-14T23:53:03.0916112Z     return input[
2025-08-14T23:53:03.0916252Z 
2025-08-14T23:53:03.0916256Z 
2025-08-14T23:53:16.0143105Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put.default Found from   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 256, in torch_dynamo_resume_in_roi_align_at_255
2025-08-14T23:53:16.0144428Z     return _roi_align(input, rois, spatial_scale, output_size[0], output_size[1], sampling_ratio, aligned)
2025-08-14T23:53:16.0145278Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/polyfills/__init__.py", line 259, in getattr_and_trace
2025-08-14T23:53:16.0145906Z     return fn(*args[2:], **kwargs)
2025-08-14T23:53:16.0146476Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/external_utils.py", line 249, in wrapper
2025-08-14T23:53:16.0147052Z     return fn(*args, **kwargs)
2025-08-14T23:53:16.0147607Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 185, in _roi_align
2025-08-14T23:53:16.0148376Z     val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask)  # [K, C, PH, PW, IY, IX]
2025-08-14T23:53:16.0149186Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate
2025-08-14T23:53:16.0149822Z     v4 = masked_index(y_high, x_high)
2025-08-14T23:53:16.0150395Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index
2025-08-14T23:53:16.0150964Z     return input[
2025-08-14T23:53:16.0151112Z 
2025-08-14T23:53:16.0151117Z 
2025-08-14T23:54:10.3302299Z W0814 23:54:10.328000 69525 site-packages/torch/fx/experimental/symbolic_shapes.py:2392] [30/4] RecursionError in sympy.xreplace(Eq(Mod(2*s29, s93), 0), {s29: evaluate_static_shape_0 + 1, s93: evaluate_static_shape_1 + 1})
2025-08-14T23:54:11.4526531Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put.default Found from   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 256, in torch_dynamo_resume_in_roi_align_at_255
2025-08-14T23:54:11.4528354Z     return _roi_align(input, rois, spatial_scale, output_size[0], output_size[1], sampling_ratio, aligned)
2025-08-14T23:54:11.4529356Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/polyfills/__init__.py", line 259, in getattr_and_trace
2025-08-14T23:54:11.4530224Z     return fn(*args[2:], **kwargs)
2025-08-14T23:54:11.4530836Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/external_utils.py", line 249, in wrapper
2025-08-14T23:54:11.4531482Z     return fn(*args, **kwargs)
2025-08-14T23:54:11.4532037Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 185, in _roi_align
2025-08-14T23:54:11.4532797Z     val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask)  # [K, C, PH, PW, IY, IX]
2025-08-14T23:54:11.4533879Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate
2025-08-14T23:54:11.4534668Z     v4 = masked_index(y_high, x_high)
2025-08-14T23:54:11.4535256Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index
2025-08-14T23:54:11.4535830Z     return input[
2025-08-14T23:54:11.4535972Z 
2025-08-14T23:54:11.4535976Z 
2025-08-14T23:54:25.2799245Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put.default Found from   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 256, in torch_dynamo_resume_in_roi_align_at_255
2025-08-14T23:54:25.2800640Z     return _roi_align(input, rois, spatial_scale, output_size[0], output_size[1], sampling_ratio, aligned)
2025-08-14T23:54:25.2801493Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/polyfills/__init__.py", line 259, in getattr_and_trace
2025-08-14T23:54:25.2802165Z     return fn(*args[2:], **kwargs)
2025-08-14T23:54:25.2802752Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/external_utils.py", line 249, in wrapper
2025-08-14T23:54:25.2803328Z     return fn(*args, **kwargs)
2025-08-14T23:54:25.2803883Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 185, in _roi_align
2025-08-14T23:54:25.2804654Z     val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask)  # [K, C, PH, PW, IY, IX]
2025-08-14T23:54:25.2805469Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate
2025-08-14T23:54:25.2806099Z     v4 = masked_index(y_high, x_high)
2025-08-14T23:54:25.2806680Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index
2025-08-14T23:54:25.2807256Z     return input[
2025-08-14T23:54:25.2807395Z 
2025-08-14T23:54:25.2807405Z 
2025-08-14T23:54:51.9189852Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put.default Found from   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 256, in torch_dynamo_resume_in_roi_align_at_255
2025-08-14T23:54:51.9191210Z     return _roi_align(input, rois, spatial_scale, output_size[0], output_size[1], sampling_ratio, aligned)
2025-08-14T23:54:51.9192066Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/polyfills/__init__.py", line 259, in getattr_and_trace
2025-08-14T23:54:51.9192709Z     return fn(*args[2:], **kwargs)
2025-08-14T23:54:51.9193285Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/external_utils.py", line 249, in wrapper
2025-08-14T23:54:51.9193866Z     return fn(*args, **kwargs)
2025-08-14T23:54:51.9194423Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 185, in _roi_align
2025-08-14T23:54:51.9195197Z     val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask)  # [K, C, PH, PW, IY, IX]
2025-08-14T23:54:51.9196017Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate
2025-08-14T23:54:51.9196649Z     v4 = masked_index(y_high, x_high)
2025-08-14T23:54:51.9197234Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index
2025-08-14T23:54:51.9197811Z     return input[
2025-08-14T23:54:51.9197951Z 
2025-08-14T23:54:51.9197956Z 
2025-08-14T23:54:58.6921289Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put.default Found from   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 256, in torch_dynamo_resume_in_roi_align_at_255
2025-08-14T23:54:58.6922715Z     return _roi_align(input, rois, spatial_scale, output_size[0], output_size[1], sampling_ratio, aligned)
2025-08-14T23:54:58.6924156Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/polyfills/__init__.py", line 259, in getattr_and_trace
2025-08-14T23:54:58.6924973Z     return fn(*args[2:], **kwargs)
2025-08-14T23:54:58.6925546Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/external_utils.py", line 249, in wrapper
2025-08-14T23:54:58.6926112Z     return fn(*args, **kwargs)
2025-08-14T23:54:58.6926658Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 185, in _roi_align
2025-08-14T23:54:58.6927409Z     val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask)  # [K, C, PH, PW, IY, IX]
2025-08-14T23:54:58.6928213Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate
2025-08-14T23:54:58.6928835Z     v4 = masked_index(y_high, x_high)
2025-08-14T23:54:58.6929413Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index
2025-08-14T23:54:58.6929987Z     return input[
2025-08-14T23:54:58.6930126Z 
2025-08-14T23:54:58.6930131Z 
2025-08-14T23:55:07.9237995Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put.default Found from   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/roi_heads.py", line 418, in torch_dynamo_resume_in_paste_mask_in_image_at_410
2025-08-14T23:55:07.9239357Z     mask = F.interpolate(mask, size=(h, w), mode="bilinear", align_corners=False)
2025-08-14T23:55:07.9239693Z 
2025-08-14T23:55:07.9239697Z 
2025-08-14T23:55:09.9260892Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put.default Found from   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/roi_heads.py", line 418, in torch_dynamo_resume_in_paste_mask_in_image_at_410
2025-08-14T23:55:09.9262668Z     mask = F.interpolate(mask, size=(h, w), mode="bilinear", align_corners=False)
2025-08-14T23:55:09.9263037Z 
2025-08-14T23:55:09.9263041Z 
2025-08-14T23:55:11.0636700Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/roi_heads.py", line 823, in torch_dynamo_resume_in_forward_at_806
2025-08-14T23:55:11.0637951Z     masks_probs = maskrcnn_inference(mask_logits, labels)
2025-08-14T23:55:11.0638697Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/roi_heads.py", line 79, in maskrcnn_inference
2025-08-14T23:55:11.0639413Z     mask_prob = mask_prob[index, labels][:, None]
2025-08-14T23:55:11.0639653Z 
2025-08-14T23:55:11.0639657Z 
2025-08-14T23:55:13.3139861Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put.default Found from   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 256, in torch_dynamo_resume_in_roi_align_at_255
2025-08-14T23:55:13.3141226Z     return _roi_align(input, rois, spatial_scale, output_size[0], output_size[1], sampling_ratio, aligned)
2025-08-14T23:55:13.3142084Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/polyfills/__init__.py", line 259, in getattr_and_trace
2025-08-14T23:55:13.3142733Z     return fn(*args[2:], **kwargs)
2025-08-14T23:55:13.3143304Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/external_utils.py", line 249, in wrapper
2025-08-14T23:55:13.3143888Z     return fn(*args, **kwargs)
2025-08-14T23:55:13.3144434Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 185, in _roi_align
2025-08-14T23:55:13.3145200Z     val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask)  # [K, C, PH, PW, IY, IX]
2025-08-14T23:55:13.3146009Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate
2025-08-14T23:55:13.3146644Z     v4 = masked_index(y_high, x_high)
2025-08-14T23:55:13.3148419Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index
2025-08-14T23:55:13.3149147Z     return input[
2025-08-14T23:55:13.3149290Z 
2025-08-14T23:55:13.3149294Z 
2025-08-14T23:55:17.1878857Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/generalized_rcnn.py", line 114, in forward
2025-08-14T23:55:17.1879982Z     features = self.backbone(images.tensors)
2025-08-14T23:55:17.1880657Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/detection/backbone_utils.py", line 58, in forward
2025-08-14T23:55:17.1881300Z     x = self.fpn(x)
2025-08-14T23:55:17.1881873Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/feature_pyramid_network.py", line 194, in forward
2025-08-14T23:55:17.1882643Z     inner_top_down = F.interpolate(last_inner, size=feat_shape, mode="nearest")
2025-08-14T23:55:17.1882980Z 
2025-08-14T23:55:17.1882985Z 
2025-08-14T23:55:17.6867323Z W0814 23:55:17.685000 69525 site-packages/torch/_dynamo/convert_frame.py:1102] [30/8] torch._dynamo hit config.recompile_limit (8)
2025-08-14T23:55:17.6868568Z W0814 23:55:17.685000 69525 site-packages/torch/_dynamo/convert_frame.py:1102] [30/8]    function: 'torch_dynamo_resume_in_roi_align_at_255' (/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py:255)
2025-08-14T23:55:17.6869901Z W0814 23:55:17.685000 69525 site-packages/torch/_dynamo/convert_frame.py:1102] [30/8]    last reason: 30/7: tensor 'rois' requires_grad mismatch. expected requires_grad=1
2025-08-14T23:55:17.6870953Z W0814 23:55:17.685000 69525 site-packages/torch/_dynamo/convert_frame.py:1102] [30/8] To log all recompilation reasons, use TORCH_LOGS="recompiles".
2025-08-14T23:55:17.6872121Z W0814 23:55:17.685000 69525 site-packages/torch/_dynamo/convert_frame.py:1102] [30/8] To diagnose recompilation issues, see https://pytorch.org/docs/main/torch.compiler_troubleshooting.html
2025-08-14T23:55:23.0704745Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put.default Found from   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 185, in _roi_align
2025-08-14T23:55:23.0705940Z     val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask)  # [K, C, PH, PW, IY, IX]
2025-08-14T23:55:23.0706768Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate
2025-08-14T23:55:23.0707413Z     v4 = masked_index(y_high, x_high)
2025-08-14T23:55:23.0708000Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index
2025-08-14T23:55:23.0708570Z     return input[
2025-08-14T23:55:23.0708715Z 
2025-08-14T23:55:23.0708719Z 
2025-08-14T23:55:58.8710895Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put.default Found from   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 185, in _roi_align
2025-08-14T23:55:58.8712525Z     val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask)  # [K, C, PH, PW, IY, IX]
2025-08-14T23:55:58.8713374Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate
2025-08-14T23:55:58.8714010Z     v4 = masked_index(y_high, x_high)
2025-08-14T23:55:58.8714582Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index
2025-08-14T23:55:58.8715161Z     return input[
2025-08-14T23:55:58.8715305Z 
2025-08-14T23:55:58.8715309Z 
2025-08-14T23:56:21.5336949Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put.default Found from   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 185, in _roi_align
2025-08-14T23:56:21.5338615Z     val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask)  # [K, C, PH, PW, IY, IX]
2025-08-14T23:56:21.5339784Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 84, in _bilinear_interpolate
2025-08-14T23:56:21.5340438Z     v4 = masked_index(y_high, x_high)
2025-08-14T23:56:21.5341104Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 74, in masked_index
2025-08-14T23:56:21.5341827Z     return input[
2025-08-14T23:56:21.5341970Z 
2025-08-14T23:56:21.5341974Z 
2025-08-14T23:56:23.0923092Z E0814 23:56:23.091000 69525 site-packages/torch/_dynamo/utils.py:3104] RMSE (res-fp64): 0.00224, (ref-fp64): 0.00025 and shape=torch.Size([256]). res.dtype: torch.float32, multiplier: 3.000000, tol: 0.001000, use_larger_multiplier_for_smaller_tensor: 0
2025-08-14T23:56:23.0924792Z E0814 23:56:23.091000 69525 site-packages/torch/_dynamo/utils.py:2965] Accuracy failed for key name backbone.fpn.inner_blocks.0.0.bias.grad
2025-08-14T23:56:23.1197668Z Compilation time (from dynamo_timed): 254.769788611
2025-08-14T23:56:23.1227011Z fail_accuracy
2025-08-14T23:56:23.1926455Z TIMING: gc:0.04854 entire_frame_compile:247.13927 _recursive_pre_grad_passes:0.04266 _recursive_joint_graph_passes:2.09515 inductor_compile:88.31876 backend_compile:154.72088 _recursive_post_grad_passes:1.55539 async_compile.wait:7.19342 code_gen:37.45652 cudagraphify.get_container:0.02565 pad_mm_benchmark:0.39516 entire_backward_compile:7.63051 CUDAGraphNode.record:0.04815 total_wall_time:254.76979
2025-08-14T23:56:23.1928761Z STATS: call_* op count: 3588 | FakeTensor.__torch_dispatch__:50736 | FakeTensorMode.__torch_dispatch__:129462 | attempt fast:2042 | slow no contiguity match:201 | fast is_contiguous:1458 | slow both tensors nontrivially broadcast:383 | ProxyTorchDispatchMode.__torch_dispatch__:43757
2025-08-14T23:56:23.1929969Z Dynamo produced 41 graphs covering 1604 ops with 39 graph breaks (9 unique)
2025-08-14T23:56:45.8042228Z 
2025-08-14T23:56:48.8017144Z loading model: 0it [00:00, ?it/s]
2025-08-14T23:56:48.8019306Z loading model: 0it [00:02, ?it/s]
2025-08-14T23:56:48.8019939Z cuda train yolov3                             
2025-08-14T23:57:29.0265011Z W0814 23:57:29.025000 74075 site-packages/torch/_inductor/utils.py:2236] [2/0_1] DeviceCopy in input program
2025-08-14T23:57:29.0271347Z W0814 23:57:29.026000 74075 site-packages/torch/_inductor/utils.py:2236] [2/0_1] DeviceCopy in input program
2025-08-14T23:57:29.2574740Z W0814 23:57:29.256000 74075 site-packages/torch/_inductor/utils.py:2236] [2/0_1] DeviceCopy in input program
2025-08-14T23:57:29.2580300Z W0814 23:57:29.257000 74075 site-packages/torch/_inductor/utils.py:2236] [2/0_1] DeviceCopy in input program
2025-08-14T23:57:29.5067403Z W0814 23:57:29.505000 74075 site-packages/torch/_inductor/utils.py:2236] [2/0_1] DeviceCopy in input program
2025-08-14T23:57:29.5073301Z W0814 23:57:29.506000 74075 site-packages/torch/_inductor/utils.py:2236] [2/0_1] DeviceCopy in input program
2025-08-14T23:57:34.8044953Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T23:57:34.8048424Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-14T23:57:34.8049659Z     pred = mod(*cloned_inputs)
2025-08-14T23:57:34.8050430Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 298, in forward
2025-08-14T23:57:34.8051375Z     return self.forward_once(x)
2025-08-14T23:57:34.8052187Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 361, in forward_once
2025-08-14T23:57:34.8053055Z     yolo_out.append(module(x, out))
2025-08-14T23:57:34.8053839Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 235, in forward
2025-08-14T23:57:34.8054670Z     self.create_grids((nx, ny), p.device)
2025-08-14T23:57:34.8055527Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 189, in create_grids
2025-08-14T23:57:34.8056917Z     self.ng = torch.tensor(ng, dtype=torch.float)
2025-08-14T23:57:34.8057333Z 
2025-08-14T23:57:34.8057855Z cudagraph partition due to DeviceCopy ops. Found from : 
2025-08-14T23:57:34.8059132Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-14T23:57:34.8060286Z     pred = mod(*cloned_inputs)
2025-08-14T23:57:34.8061033Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 298, in forward
2025-08-14T23:57:34.8061849Z     return self.forward_once(x)
2025-08-14T23:57:34.8062640Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 361, in forward_once
2025-08-14T23:57:34.8063492Z     yolo_out.append(module(x, out))
2025-08-14T23:57:34.8064278Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 235, in forward
2025-08-14T23:57:34.8065096Z     self.create_grids((nx, ny), p.device)
2025-08-14T23:57:34.8065944Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 204, in create_grids
2025-08-14T23:57:34.8066847Z     self.anchor_vec = self.anchor_vec.to(device)
2025-08-14T23:57:34.8067244Z 
2025-08-14T23:57:34.8067542Z cudagraph partition due to DeviceCopy ops. Found from : 
2025-08-14T23:57:34.8068810Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-14T23:57:34.8069971Z     pred = mod(*cloned_inputs)
2025-08-14T23:57:34.8070716Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 298, in forward
2025-08-14T23:57:34.8071535Z     return self.forward_once(x)
2025-08-14T23:57:34.8072335Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 361, in forward_once
2025-08-14T23:57:34.8073193Z     yolo_out.append(module(x, out))
2025-08-14T23:57:34.8073978Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 235, in forward
2025-08-14T23:57:34.8074806Z     self.create_grids((nx, ny), p.device)
2025-08-14T23:57:34.8075648Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 205, in create_grids
2025-08-14T23:57:34.8076551Z     self.anchor_wh = self.anchor_wh.to(device)
2025-08-14T23:57:34.8076932Z 
2025-08-14T23:57:34.8077194Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T23:57:34.8078433Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-14T23:57:34.8079580Z     pred = mod(*cloned_inputs)
2025-08-14T23:57:34.8080336Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 298, in forward
2025-08-14T23:57:34.8081152Z     return self.forward_once(x)
2025-08-14T23:57:34.8081944Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 361, in forward_once
2025-08-14T23:57:34.8082802Z     yolo_out.append(module(x, out))
2025-08-14T23:57:34.8083594Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 235, in forward
2025-08-14T23:57:34.8084437Z     self.create_grids((nx, ny), p.device)
2025-08-14T23:57:34.8085289Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 189, in create_grids
2025-08-14T23:57:34.8086195Z     self.ng = torch.tensor(ng, dtype=torch.float)
2025-08-14T23:57:34.8086588Z 
2025-08-14T23:57:34.8086868Z cudagraph partition due to DeviceCopy ops. Found from : 
2025-08-14T23:57:34.8088127Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-14T23:57:34.8101009Z     pred = mod(*cloned_inputs)
2025-08-14T23:57:34.8101834Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 298, in forward
2025-08-14T23:57:34.8102661Z     return self.forward_once(x)
2025-08-14T23:57:34.8103462Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 361, in forward_once
2025-08-14T23:57:34.8104316Z     yolo_out.append(module(x, out))
2025-08-14T23:57:34.8105275Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 235, in forward
2025-08-14T23:57:34.8106106Z     self.create_grids((nx, ny), p.device)
2025-08-14T23:57:34.8107072Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 204, in create_grids
2025-08-14T23:57:34.8107971Z     self.anchor_vec = self.anchor_vec.to(device)
2025-08-14T23:57:34.8108367Z 
2025-08-14T23:57:34.8108652Z cudagraph partition due to DeviceCopy ops. Found from : 
2025-08-14T23:57:34.8109918Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-14T23:57:34.8111064Z     pred = mod(*cloned_inputs)
2025-08-14T23:57:34.8111818Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 298, in forward
2025-08-14T23:57:34.8112633Z     return self.forward_once(x)
2025-08-14T23:57:34.8113426Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 361, in forward_once
2025-08-14T23:57:34.8114286Z     yolo_out.append(module(x, out))
2025-08-14T23:57:34.8115065Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 235, in forward
2025-08-14T23:57:34.8115894Z     self.create_grids((nx, ny), p.device)
2025-08-14T23:57:34.8116723Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 205, in create_grids
2025-08-14T23:57:34.8117608Z     self.anchor_wh = self.anchor_wh.to(device)
2025-08-14T23:57:34.8117977Z 
2025-08-14T23:57:34.8118247Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T23:57:34.8119473Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-14T23:57:34.8120609Z     pred = mod(*cloned_inputs)
2025-08-14T23:57:34.8121368Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 298, in forward
2025-08-14T23:57:34.8122178Z     return self.forward_once(x)
2025-08-14T23:57:34.8122952Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 361, in forward_once
2025-08-14T23:57:34.8124077Z     yolo_out.append(module(x, out))
2025-08-14T23:57:34.8124868Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 235, in forward
2025-08-14T23:57:34.8125691Z     self.create_grids((nx, ny), p.device)
2025-08-14T23:57:34.8126523Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 189, in create_grids
2025-08-14T23:57:34.8127423Z     self.ng = torch.tensor(ng, dtype=torch.float)
2025-08-14T23:57:34.8127811Z 
2025-08-14T23:57:34.8128101Z cudagraph partition due to DeviceCopy ops. Found from : 
2025-08-14T23:57:34.8129342Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-14T23:57:34.8130487Z     pred = mod(*cloned_inputs)
2025-08-14T23:57:34.8131383Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 298, in forward
2025-08-14T23:57:34.8132195Z     return self.forward_once(x)
2025-08-14T23:57:34.8132984Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 361, in forward_once
2025-08-14T23:57:34.8133838Z     yolo_out.append(module(x, out))
2025-08-14T23:57:34.8134621Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 235, in forward
2025-08-14T23:57:34.8135435Z     self.create_grids((nx, ny), p.device)
2025-08-14T23:57:34.8136278Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 204, in create_grids
2025-08-14T23:57:34.8137171Z     self.anchor_vec = self.anchor_vec.to(device)
2025-08-14T23:57:34.8137550Z 
2025-08-14T23:57:34.8137848Z cudagraph partition due to DeviceCopy ops. Found from : 
2025-08-14T23:57:34.8139079Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-14T23:57:34.8140225Z     pred = mod(*cloned_inputs)
2025-08-14T23:57:34.8140982Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 298, in forward
2025-08-14T23:57:34.8142026Z     return self.forward_once(x)
2025-08-14T23:57:34.8142815Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 361, in forward_once
2025-08-14T23:57:34.8143854Z     yolo_out.append(module(x, out))
2025-08-14T23:57:34.8144643Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 235, in forward
2025-08-14T23:57:34.8145458Z     self.create_grids((nx, ny), p.device)
2025-08-14T23:57:34.8146306Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 205, in create_grids
2025-08-14T23:57:34.8147181Z     self.anchor_wh = self.anchor_wh.to(device)
2025-08-14T23:57:34.8147551Z 
2025-08-14T23:57:35.0924622Z cudagraph partition into 2 partitions
2025-08-14T23:58:15.6190073Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from   File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-14T23:58:15.6191247Z     pred = mod(*cloned_inputs)
2025-08-14T23:58:15.6191718Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 298, in forward
2025-08-14T23:58:15.6192215Z     return self.forward_once(x)
2025-08-14T23:58:15.6192695Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 363, in forward_once
2025-08-14T23:58:15.6193181Z     x = module(x)
2025-08-14T23:58:15.6193326Z 
2025-08-14T23:58:15.6193330Z 
2025-08-14T23:58:16.3984651Z W0814 23:58:16.397000 74075 site-packages/torch/_logging/_internal.py:1199] [6/0] Profiler function <class 'torch.autograd.profiler.record_function'> will be ignored
2025-08-14T23:59:32.8677440Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T23:59:32.8678234Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-14T23:59:32.8678930Z     pred = mod(*cloned_inputs)
2025-08-14T23:59:32.8679389Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 298, in forward
2025-08-14T23:59:32.8679897Z     return self.forward_once(x)
2025-08-14T23:59:32.8680385Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 361, in forward_once
2025-08-14T23:59:32.8680897Z     yolo_out.append(module(x, out))
2025-08-14T23:59:32.8681406Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 235, in forward
2025-08-14T23:59:32.8681989Z     self.create_grids((nx, ny), p.device)
2025-08-14T23:59:32.8682496Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 189, in create_grids
2025-08-14T23:59:32.8683038Z     self.ng = torch.tensor(ng, dtype=torch.float)
2025-08-14T23:59:32.8683279Z 
2025-08-14T23:59:32.8683439Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T23:59:32.8684179Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-14T23:59:32.8684868Z     pred = mod(*cloned_inputs)
2025-08-14T23:59:32.8685326Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 298, in forward
2025-08-14T23:59:32.8685806Z     return self.forward_once(x)
2025-08-14T23:59:32.8686289Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 361, in forward_once
2025-08-14T23:59:32.8686795Z     yolo_out.append(module(x, out))
2025-08-14T23:59:32.8687256Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 235, in forward
2025-08-14T23:59:32.8687748Z     self.create_grids((nx, ny), p.device)
2025-08-14T23:59:32.8688252Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 189, in create_grids
2025-08-14T23:59:32.8688787Z     self.ng = torch.tensor(ng, dtype=torch.float)
2025-08-14T23:59:32.8689023Z 
2025-08-14T23:59:32.8689178Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T23:59:32.8689924Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-14T23:59:32.8691109Z     pred = mod(*cloned_inputs)
2025-08-14T23:59:32.8691631Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 298, in forward
2025-08-14T23:59:32.8692302Z     return self.forward_once(x)
2025-08-14T23:59:32.8692778Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 361, in forward_once
2025-08-14T23:59:32.8693286Z     yolo_out.append(module(x, out))
2025-08-14T23:59:32.8693747Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 235, in forward
2025-08-14T23:59:32.8694246Z     self.create_grids((nx, ny), p.device)
2025-08-14T23:59:32.8694743Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 189, in create_grids
2025-08-14T23:59:32.8695276Z     self.ng = torch.tensor(ng, dtype=torch.float)
2025-08-14T23:59:32.8695510Z 
2025-08-14T23:59:33.1572313Z cudagraph partition into 2 partitions
2025-08-15T00:00:13.5262109Z skipping cudagraphs due to disabling cudagraphs due to incompatible op aten.index_put_.default Found from   File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 491, in torch_dynamo_resume_in_forward_and_backward_pass_at_486
2025-08-15T00:00:13.5263270Z     pred = mod(*cloned_inputs)
2025-08-15T00:00:13.5263746Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 298, in forward
2025-08-15T00:00:13.5264239Z     return self.forward_once(x)
2025-08-15T00:00:13.5264719Z   File "/torchbench/torchbenchmark/models/yolov3/yolo_models.py", line 363, in forward_once
2025-08-15T00:00:13.5265203Z     x = module(x)
2025-08-15T00:00:13.5265347Z 
2025-08-15T00:00:13.5265352Z 
2025-08-15T00:00:14.1863735Z Compilation time (from dynamo_timed): 188.49682534
2025-08-15T00:00:14.1909846Z pass
2025-08-15T00:00:14.2321432Z TIMING: gc:0.00789 entire_frame_compile:130.41743 _recursive_pre_grad_passes:0.04854 _recursive_joint_graph_passes:1.10226 _recursive_post_grad_passes:2.09585 async_compile.wait:4.87958 code_gen:82.80762 inductor_compile:118.91704 backend_compile:99.52033 cudagraphify.get_container:0.02471 CachingAutotuner.benchmark_all_configs:0.24721 entire_backward_compile:58.0794 CUDAGraphNode.record:0.01229 total_wall_time:188.49683
2025-08-15T00:00:14.2323603Z STATS: call_* op count: 1832 | FakeTensorMode.__torch_dispatch__:101191 | FakeTensor.__torch_dispatch__:102317 | ProxyTorchDispatchMode.__torch_dispatch__:46257
2025-08-15T00:00:14.2324665Z Dynamo produced 4 graphs covering 1832 ops with 8 graph breaks (5 unique)
2025-08-15T00:00:19.7921150Z accuracy            pass_rate=73.68%
2025-08-15T00:00:19.7924319Z calls_captured      gmean=0.00x mean=514.605x
2025-08-15T00:00:19.7928852Z unique_graphs       gmean=0.00x mean=3.395x
2025-08-15T00:00:19.7932994Z graph_breaks        gmean=0.00x mean=6.395x
2025-08-15T00:00:19.7937403Z unique_graph_breaks gmean=0.00x mean=4.342x
2025-08-15T00:00:19.7941200Z autograd_captures   gmean=0.00x mean=0.000x
2025-08-15T00:00:19.7945555Z autograd_compiles   gmean=0.00x mean=0.000x
2025-08-15T00:00:19.7949564Z cudagraph_skips     gmean=0.00x mean=0.368x
2025-08-15T00:00:19.7950226Z compilation_latency mean=43.336 seconds
2025-08-15T00:00:22.5787746Z + python benchmarks/dynamo/check_accuracy.py --actual /var/lib/jenkins/workspace/test/test-reports/training_torchbench.csv --expected benchmarks/dynamo/ci_expected_accuracy/inductor_torchbench_training.csv
2025-08-15T00:00:22.9198463Z llava                               XFAIL
2025-08-15T00:00:22.9199596Z maml_omniglot                       PASS
2025-08-15T00:00:22.9203552Z microbench_unbacked_tolist_sum      PASS
2025-08-15T00:00:22.9208485Z mnasnet1_0                          PASS
2025-08-15T00:00:22.9213715Z mobilenet_v2                        PASS
2025-08-15T00:00:22.9218448Z mobilenet_v2_quantized_qat          XFAIL
2025-08-15T00:00:22.9223173Z mobilenet_v3_large                  PASS
2025-08-15T00:00:22.9229382Z moco                                PASS
2025-08-15T00:00:22.9233981Z nanogpt                             PASS
2025-08-15T00:00:22.9238993Z nvidia_deeprecommender              PASS
2025-08-15T00:00:22.9243711Z opacus_cifar10                      XFAIL
2025-08-15T00:00:22.9248389Z phlippe_densenet                    PASS
2025-08-15T00:00:22.9253552Z phlippe_resnet                      PASS
2025-08-15T00:00:22.9257977Z pytorch_CycleGAN_and_pix2pix        PASS
2025-08-15T00:00:22.9262643Z pytorch_stargan                     PASS
2025-08-15T00:00:22.9267416Z pytorch_unet                        XFAIL
2025-08-15T00:00:22.9272183Z resnet152                           PASS
2025-08-15T00:00:22.9276849Z resnet18                            PASS
2025-08-15T00:00:22.9281569Z resnet50                            PASS
2025-08-15T00:00:22.9286289Z resnet50_quantized_qat              XFAIL
2025-08-15T00:00:22.9291166Z resnext50_32x4d                     PASS
2025-08-15T00:00:22.9295970Z sam                                 XFAIL
2025-08-15T00:00:22.9300656Z shufflenet_v2_x1_0                  PASS
2025-08-15T00:00:22.9305418Z soft_actor_critic                   PASS
2025-08-15T00:00:22.9310039Z squeezenet1_1                       PASS
2025-08-15T00:00:22.9315180Z stable_diffusion_text_encoder       PASS
2025-08-15T00:00:22.9319493Z stable_diffusion_unet               XFAIL
2025-08-15T00:00:22.9325009Z timm_efficientnet                   XFAIL
2025-08-15T00:00:22.9329376Z timm_regnet                         PASS
2025-08-15T00:00:22.9334339Z timm_resnest                        PASS
2025-08-15T00:00:22.9338978Z timm_vision_transformer             PASS
2025-08-15T00:00:22.9343713Z timm_vision_transformer_large       XFAIL
2025-08-15T00:00:22.9348351Z timm_vovnet                         PASS
2025-08-15T00:00:22.9353353Z torch_multimodal_clip               PASS
2025-08-15T00:00:22.9357819Z tts_angular                         PASS
2025-08-15T00:00:22.9362475Z vgg16                               PASS
2025-08-15T00:00:22.9367759Z vision_maskrcnn                     FAIL:     accuracy=fail_accuracy, expected=pass
2025-08-15T00:00:22.9373715Z yolov3                              PASS
2025-08-15T00:00:22.9374000Z 
2025-08-15T00:00:22.9374202Z Error: 1 models have accuracy status regressed:
2025-08-15T00:00:22.9374635Z     vision_maskrcnn
2025-08-15T00:00:22.9374795Z 
2025-08-15T00:00:22.9374800Z 
2025-08-15T00:00:22.9375293Z If this change is expected, you can update `benchmarks/dynamo/ci_expected_accuracy/inductor_torchbench_training.csv` to reflect the new baseline.
2025-08-15T00:00:22.9375992Z from pytorch/pytorch root, run
2025-08-15T00:00:22.9376529Z `python benchmarks/dynamo/ci_expected_accuracy/update_expected.py 1fc683cf17c8c673044538d10266c00f92987be2`
2025-08-15T00:00:22.9377222Z and then `git add` the resulting local changes to expected CSVs to your commit.
2025-08-15T00:00:22.9377564Z 
2025-08-15T00:00:22.9925042Z + sccache_epilogue
2025-08-15T00:00:22.9928716Z + echo '::group::Sccache Compilation Log'
2025-08-15T00:00:22.9929470Z ##[group]Sccache Compilation Log
2025-08-15T00:00:22.9929814Z + echo '=================== sccache compilation log ==================='
2025-08-15T00:00:22.9930195Z =================== sccache compilation log ===================
2025-08-15T00:00:22.9935542Z + python /var/lib/jenkins/workspace/.ci/pytorch/print_sccache_log.py /var/lib/jenkins/sccache_error.log
2025-08-15T00:00:23.0214746Z + echo '=========== If your build fails, please take a look at the log above for possible reasons ==========='
2025-08-15T00:00:23.0215429Z =========== If your build fails, please take a look at the log above for possible reasons ===========
2025-08-15T00:00:23.0215898Z + sccache --show-stats
2025-08-15T00:00:23.0295741Z Compile requests                    100
2025-08-15T00:00:23.0296182Z Compile requests executed             0
2025-08-15T00:00:23.0296588Z Cache hits                            0
2025-08-15T00:00:23.0296991Z Cache misses                          0
2025-08-15T00:00:23.0297303Z Cache hits rate                       -
2025-08-15T00:00:23.0297598Z Cache timeouts                        0
2025-08-15T00:00:23.0297884Z Cache read errors                     0
2025-08-15T00:00:23.0298179Z Forced recaches                       0
2025-08-15T00:00:23.0298870Z Cache write errors                    0
2025-08-15T00:00:23.0299165Z Cache errors                          0
2025-08-15T00:00:23.0299613Z Compilations                          0
2025-08-15T00:00:23.0299922Z Compilation failures                  0
2025-08-15T00:00:23.0300232Z Non-cacheable compilations            0
2025-08-15T00:00:23.0300548Z Non-cacheable calls                   6
2025-08-15T00:00:23.0300906Z Non-compilation calls                94
2025-08-15T00:00:23.0301271Z Unsupported compiler calls            0
2025-08-15T00:00:23.0301589Z Average cache write               0.000 s
2025-08-15T00:00:23.0301978Z Average compiler                  0.000 s
2025-08-15T00:00:23.0302292Z Average cache read hit            0.000 s
2025-08-15T00:00:23.0302607Z Failed distributed compilations       0
2025-08-15T00:00:23.0302824Z 
2025-08-15T00:00:23.0302922Z Non-cacheable reasons:
2025-08-15T00:00:23.0303174Z -E                                    6
2025-08-15T00:00:23.0303381Z 
2025-08-15T00:00:23.0303612Z Cache location                  s3, name: ossci-compiler-cache-circleci-v2, prefix: /
2025-08-15T00:00:23.0304051Z Version (client)                0.10.0
2025-08-15T00:00:23.0304367Z + sccache --stop-server
2025-08-15T00:00:23.0324423Z Stopping sccache server...
2025-08-15T00:00:23.0328654Z Compile requests                    100
2025-08-15T00:00:23.0329062Z Compile requests executed             0
2025-08-15T00:00:23.0329369Z Cache hits                            0
2025-08-15T00:00:23.0329656Z Cache misses                          0
2025-08-15T00:00:23.0329961Z Cache hits rate                       -
2025-08-15T00:00:23.0330261Z Cache timeouts                        0
2025-08-15T00:00:23.0330557Z Cache read errors                     0
2025-08-15T00:00:23.0330848Z Forced recaches                       0
2025-08-15T00:00:23.0331148Z Cache write errors                    0
2025-08-15T00:00:23.0331542Z Cache errors                          0
2025-08-15T00:00:23.0331843Z Compilations                          0
2025-08-15T00:00:23.0332148Z Compilation failures                  0
2025-08-15T00:00:23.0332463Z Non-cacheable compilations            0
2025-08-15T00:00:23.0332777Z Non-cacheable calls                   6
2025-08-15T00:00:23.0333132Z Non-compilation calls                94
2025-08-15T00:00:23.0333530Z Unsupported compiler calls            0
2025-08-15T00:00:23.0333949Z Average cache write               0.000 s
2025-08-15T00:00:23.0334348Z Average compiler                  0.000 s
2025-08-15T00:00:23.0334656Z Average cache read hit            0.000 s
2025-08-15T00:00:23.0334972Z Failed distributed compilations       0
2025-08-15T00:00:23.0335178Z 
2025-08-15T00:00:23.0335274Z Non-cacheable reasons:
2025-08-15T00:00:23.0335525Z -E                                    6
2025-08-15T00:00:23.0335714Z 
2025-08-15T00:00:23.0335941Z Cache location                  s3, name: ossci-compiler-cache-circleci-v2, prefix: /
2025-08-15T00:00:23.0336362Z Version (client)                0.10.0
2025-08-15T00:00:23.0336694Z + echo ::endgroup::
2025-08-15T00:00:23.0337250Z ##[endgroup]
2025-08-15T00:00:23.0337466Z + cleanup_workspace
2025-08-15T00:00:23.0337938Z + echo 'sudo may print the following warning message that can be ignored. The chown command will still run.'
2025-08-15T00:00:23.0338660Z sudo may print the following warning message that can be ignored. The chown command will still run.
2025-08-15T00:00:23.0339251Z + echo '    sudo: setrlimit(RLIMIT_STACK): Operation not permitted'
2025-08-15T00:00:23.0339788Z     sudo: setrlimit(RLIMIT_STACK): Operation not permitted
2025-08-15T00:00:23.0341741Z + echo 'For more details refer to https://github.com/sudo-project/sudo/issues/42'
2025-08-15T00:00:23.0342306Z For more details refer to https://github.com/sudo-project/sudo/issues/42
2025-08-15T00:00:23.0342761Z + sudo chown -R 1000 /var/lib/jenkins/workspace
2025-08-15T00:00:24.1133531Z ##[error]Process completed with exit code 1.
2025-08-15T00:00:24.1203936Z Prepare all required actions
2025-08-15T00:00:24.1204518Z Getting action download info
2025-08-15T00:00:24.2549523Z ##[group]Run ./.github/actions/pytest-cache-upload
2025-08-15T00:00:24.2549868Z with:
2025-08-15T00:00:24.2550089Z   cache_dir: .pytest_cache
2025-08-15T00:00:24.2550333Z   shard: 2
2025-08-15T00:00:24.2550572Z   sha: 1fc683cf17c8c673044538d10266c00f92987be2
2025-08-15T00:00:24.2550903Z   test_config: inductor_torchbench
2025-08-15T00:00:24.2551293Z   job_identifier: inductor_linux-jammy-cuda12.8-py3.10-gcc9-sm86
2025-08-15T00:00:24.2551666Z env:
2025-08-15T00:00:24.2551877Z   GIT_DEFAULT_BRANCH: main
2025-08-15T00:00:24.2552208Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-15T00:00:24.2552737Z   DOCKER_CONTAINER_ID: fcf15ca113843da4c75bbd902de53a61593133478e83d4dad1cc0e9451721182
2025-08-15T00:00:24.2553209Z ##[endgroup]
2025-08-15T00:00:24.2593974Z ##[group]Run nick-fields/retry@v3.0.0
2025-08-15T00:00:24.2594258Z with:
2025-08-15T00:00:24.2594493Z   shell: bash
2025-08-15T00:00:24.2594704Z   timeout_minutes: 5
2025-08-15T00:00:24.2594951Z   max_attempts: 5
2025-08-15T00:00:24.2595186Z   retry_wait_seconds: 30
2025-08-15T00:00:24.2595518Z   command: set -eu
python3 -m pip install boto3==1.35.42

2025-08-15T00:00:24.2595887Z   polling_interval_seconds: 1
2025-08-15T00:00:24.2596165Z   warning_on_retry: true
2025-08-15T00:00:24.2596424Z   continue_on_error: false
2025-08-15T00:00:24.2596665Z env:
2025-08-15T00:00:24.2596871Z   GIT_DEFAULT_BRANCH: main
2025-08-15T00:00:24.2597192Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-15T00:00:24.2597721Z   DOCKER_CONTAINER_ID: fcf15ca113843da4c75bbd902de53a61593133478e83d4dad1cc0e9451721182
2025-08-15T00:00:24.2598202Z ##[endgroup]
2025-08-15T00:00:24.6474579Z Defaulting to user installation because normal site-packages is not writeable
2025-08-15T00:00:25.8031236Z Collecting boto3==1.35.42
2025-08-15T00:00:25.8227537Z   Downloading boto3-1.35.42-py3-none-any.whl (139 kB)
2025-08-15T00:00:25.8384947Z 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)
2025-08-15T00:00:27.1345452Z Collecting botocore<1.36.0,>=1.35.42
2025-08-15T00:00:27.1383673Z   Downloading botocore-1.35.99-py3-none-any.whl (13.3 MB)
2025-08-15T00:00:27.3250122Z Collecting s3transfer<0.11.0,>=0.10.0
2025-08-15T00:00:27.3285512Z   Downloading s3transfer-0.10.4-py3-none-any.whl (83 kB)
2025-08-15T00:00:27.3392026Z 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)
2025-08-15T00:00:27.3395983Z Requirement already satisfied: python-dateutil<3.0.0,>=2.1 in /usr/lib/python3.9/site-packages (from botocore<1.36.0,>=1.35.42->boto3==1.35.42) (2.8.1)
2025-08-15T00:00:27.4820059Z 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,>=1.35.42->boto3==1.35.42) (1.15.0)
2025-08-15T00:00:27.5722568Z Installing collected packages: botocore, s3transfer, boto3
2025-08-15T00:00:28.1904441Z Successfully installed boto3-1.35.42 botocore-1.35.99 s3transfer-0.10.4
2025-08-15T00:00:28.3405587Z Command completed after 1 attempt(s).
2025-08-15T00:00:28.3485700Z ##[group]Run python3 .github/scripts/pytest_cache.py \
2025-08-15T00:00:28.3486135Z python3 .github/scripts/pytest_cache.py \
2025-08-15T00:00:28.3486479Z   --upload \
2025-08-15T00:00:28.3486774Z   --cache_dir $GITHUB_WORKSPACE/$CACHE_DIR \
2025-08-15T00:00:28.3487130Z   --pr_identifier $GITHUB_REF \
2025-08-15T00:00:28.3487470Z   --job_identifier $JOB_IDENTIFIER \
2025-08-15T00:00:28.3487788Z   --sha $SHA \
2025-08-15T00:00:28.3488055Z   --test_config $TEST_CONFIG \
2025-08-15T00:00:28.3488362Z   --shard $SHARD \
2025-08-15T00:00:28.3488633Z   --repo $REPO \
2025-08-15T00:00:28.3488909Z   --temp_dir $RUNNER_TEMP \
2025-08-15T00:00:28.3503323Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-15T00:00:28.3503848Z env:
2025-08-15T00:00:28.3504066Z   GIT_DEFAULT_BRANCH: main
2025-08-15T00:00:28.3504388Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-15T00:00:28.3504915Z   DOCKER_CONTAINER_ID: fcf15ca113843da4c75bbd902de53a61593133478e83d4dad1cc0e9451721182
2025-08-15T00:00:28.3505408Z   CACHE_DIR: .pytest_cache
2025-08-15T00:00:28.3505766Z   JOB_IDENTIFIER: inductor_linux-jammy-cuda12.8-py3.10-gcc9-sm86
2025-08-15T00:00:28.3506193Z   SHA: 1fc683cf17c8c673044538d10266c00f92987be2
2025-08-15T00:00:28.3506529Z   TEST_CONFIG: inductor_torchbench
2025-08-15T00:00:28.3506804Z   SHARD: 2
2025-08-15T00:00:28.3507015Z   REPO: pytorch/pytorch
2025-08-15T00:00:28.3507261Z ##[endgroup]
2025-08-15T00:00:28.4992734Z PR identifier for `refs/heads/main` is `96e092540d6b3c4076e3d2bc6f1f9013`
2025-08-15T00:00:28.4996035Z Uploading cache with args Namespace(upload=True, download=False, cache_dir='/home/ec2-user/actions-runner/_work/pytorch/pytorch/.pytest_cache', pr_identifier='refs/heads/main', job_identifier='inductor_linux-jammy-cuda12.8-py3.10-gcc9-sm86', sha='1fc683cf17c8c673044538d10266c00f92987be2', test_config='inductor_torchbench', shard='2', repo='pytorch/pytorch', temp_dir='/home/ec2-user/actions-runner/_work/_temp', bucket=None)
2025-08-15T00:00:28.4998074Z The pytest cache dir `/home/ec2-user/actions-runner/_work/pytorch/pytorch/.pytest_cache` does not exist. Skipping upload
2025-08-15T00:00:28.5243428Z ##[group]Run cat test/**/*_toprint.log || true
2025-08-15T00:00:28.5243819Z cat test/**/*_toprint.log || true
2025-08-15T00:00:28.5252916Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-15T00:00:28.5253282Z env:
2025-08-15T00:00:28.5253529Z   GIT_DEFAULT_BRANCH: main
2025-08-15T00:00:28.5253959Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-15T00:00:28.5254550Z   DOCKER_CONTAINER_ID: fcf15ca113843da4c75bbd902de53a61593133478e83d4dad1cc0e9451721182
2025-08-15T00:00:28.5255035Z ##[endgroup]
2025-08-15T00:00:28.5365624Z cat: 'test/**/*_toprint.log': No such file or directory
2025-08-15T00:00:28.5405276Z ##[group]Run kill "$MONITOR_SCRIPT_PID"
2025-08-15T00:00:28.5405620Z kill "$MONITOR_SCRIPT_PID"
2025-08-15T00:00:28.5414121Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-15T00:00:28.5414488Z env:
2025-08-15T00:00:28.5414708Z   GIT_DEFAULT_BRANCH: main
2025-08-15T00:00:28.5415026Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-15T00:00:28.5415560Z   DOCKER_CONTAINER_ID: fcf15ca113843da4c75bbd902de53a61593133478e83d4dad1cc0e9451721182
2025-08-15T00:00:28.5416059Z   MONITOR_SCRIPT_PID: 62830
2025-08-15T00:00:28.5416325Z ##[endgroup]
2025-08-15T00:00:28.5564117Z Prepare all required actions
2025-08-15T00:00:28.5564618Z Getting action download info
2025-08-15T00:00:28.7193627Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a)
2025-08-15T00:00:28.9875174Z Download action repository 'actions/upload-artifact@v4' (SHA:ea165f8d65b6e75b540449e92b4886f43607fa02)
2025-08-15T00:00:29.3707811Z ##[group]Run ./.github/actions/upload-test-artifacts
2025-08-15T00:00:29.3708146Z with:
2025-08-15T00:00:29.3708534Z   file-suffix: test-inductor_torchbench-2-2-linux.g5.4xlarge.nvidia.gpu_48131873416
2025-08-15T00:00:29.3709016Z   s3-bucket: gha-artifacts
2025-08-15T00:00:29.3709265Z env:
2025-08-15T00:00:29.3709465Z   GIT_DEFAULT_BRANCH: main
2025-08-15T00:00:29.3709790Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-15T00:00:29.3710313Z   DOCKER_CONTAINER_ID: fcf15ca113843da4c75bbd902de53a61593133478e83d4dad1cc0e9451721182
2025-08-15T00:00:29.3710782Z ##[endgroup]
2025-08-15T00:00:29.3740093Z ##[group]Run # Remove any previous test jsons if they exist
2025-08-15T00:00:29.3740531Z # Remove any previous test jsons if they exist
2025-08-15T00:00:29.3751658Z rm -f test-jsons-*.zip
2025-08-15T00:00:29.3752110Z zip -r "test-jsons-${FILE_SUFFIX}.zip" test/test-reports -i '*.json'
2025-08-15T00:00:29.3761260Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-15T00:00:29.3761814Z env:
2025-08-15T00:00:29.3762025Z   GIT_DEFAULT_BRANCH: main
2025-08-15T00:00:29.3762351Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-15T00:00:29.3762880Z   DOCKER_CONTAINER_ID: fcf15ca113843da4c75bbd902de53a61593133478e83d4dad1cc0e9451721182
2025-08-15T00:00:29.3763523Z   FILE_SUFFIX: test-inductor_torchbench-2-2-linux.g5.4xlarge.nvidia.gpu_48131873416
2025-08-15T00:00:29.3763985Z ##[endgroup]
2025-08-15T00:00:29.4011763Z   adding: test/test-reports/inference_torchbench.json (deflated 99%)
2025-08-15T00:00:29.4062454Z   adding: test/test-reports/training_torchbench.json (deflated 99%)
2025-08-15T00:00:29.4096869Z ##[group]Run # Remove any previous test reports if they exist
2025-08-15T00:00:29.4097325Z # Remove any previous test reports if they exist
2025-08-15T00:00:29.4097698Z rm -f test-reports-*.zip
2025-08-15T00:00:29.4098156Z zip -r "test-reports-${FILE_SUFFIX}.zip" test/test-reports -i '*.xml' -i '*.csv'
2025-08-15T00:00:29.4107247Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-15T00:00:29.4107604Z env:
2025-08-15T00:00:29.4107822Z   GIT_DEFAULT_BRANCH: main
2025-08-15T00:00:29.4108139Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-15T00:00:29.4108671Z   DOCKER_CONTAINER_ID: fcf15ca113843da4c75bbd902de53a61593133478e83d4dad1cc0e9451721182
2025-08-15T00:00:29.4109323Z   FILE_SUFFIX: test-inductor_torchbench-2-2-linux.g5.4xlarge.nvidia.gpu_48131873416
2025-08-15T00:00:29.4109788Z ##[endgroup]
2025-08-15T00:00:29.4175747Z   adding: test/test-reports/inference_torchbench.csv (deflated 63%)
2025-08-15T00:00:29.4180170Z   adding: test/test-reports/inference_torchbench_graph_breaks.csv (deflated 93%)
2025-08-15T00:00:29.4181818Z   adding: test/test-reports/inference_torchbench_graph_break_deduped.csv (deflated 78%)
2025-08-15T00:00:29.4182852Z   adding: test/test-reports/training_torchbench.csv (deflated 61%)
2025-08-15T00:00:29.4196717Z   adding: test/test-reports/training_torchbench_graph_breaks.csv (deflated 97%)
2025-08-15T00:00:29.4198517Z   adding: test/test-reports/training_torchbench_graph_break_deduped.csv (deflated 80%)
2025-08-15T00:00:29.4229705Z ##[group]Run # Remove any previous usage logs if they exist
2025-08-15T00:00:29.4230142Z # Remove any previous usage logs if they exist
2025-08-15T00:00:29.4230495Z rm -f logs-*.zip
2025-08-15T00:00:29.4230823Z zip "logs-${FILE_SUFFIX}.zip" 'usage_log.txt' || true
2025-08-15T00:00:29.4231304Z zip -r "logs-${FILE_SUFFIX}.zip" test/test-reports -i '*.log' || true
2025-08-15T00:00:29.4240436Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-15T00:00:29.4240800Z env:
2025-08-15T00:00:29.4241008Z   GIT_DEFAULT_BRANCH: main
2025-08-15T00:00:29.4241331Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-15T00:00:29.4241854Z   DOCKER_CONTAINER_ID: fcf15ca113843da4c75bbd902de53a61593133478e83d4dad1cc0e9451721182
2025-08-15T00:00:29.4242526Z   FILE_SUFFIX: test-inductor_torchbench-2-2-linux.g5.4xlarge.nvidia.gpu_48131873416
2025-08-15T00:00:29.4242995Z ##[endgroup]
2025-08-15T00:00:29.4439729Z   adding: usage_log.txt (deflated 96%)
2025-08-15T00:00:29.4455753Z 
2025-08-15T00:00:29.4456313Z zip error: Nothing to do! (logs-test-inductor_torchbench-2-2-linux.g5.4xlarge.nvidia.gpu_48131873416.zip)
2025-08-15T00:00:29.4495910Z ##[group]Run # Remove any previous debugging artifacts if they exist
2025-08-15T00:00:29.4496772Z # Remove any previous debugging artifacts if they exist
2025-08-15T00:00:29.4497363Z rm -f debug-*.zip
2025-08-15T00:00:29.4497806Z if [ -d 'test/debug' ]; then
2025-08-15T00:00:29.4498336Z   zip -r "debug-${FILE_SUFFIX}.zip" test/debug
2025-08-15T00:00:29.4498811Z fi
2025-08-15T00:00:29.4507485Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-15T00:00:29.4507841Z env:
2025-08-15T00:00:29.4508060Z   GIT_DEFAULT_BRANCH: main
2025-08-15T00:00:29.4508380Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-15T00:00:29.4509107Z   DOCKER_CONTAINER_ID: fcf15ca113843da4c75bbd902de53a61593133478e83d4dad1cc0e9451721182
2025-08-15T00:00:29.4509756Z   FILE_SUFFIX: test-inductor_torchbench-2-2-linux.g5.4xlarge.nvidia.gpu_48131873416
2025-08-15T00:00:29.4510213Z ##[endgroup]
2025-08-15T00:00:29.4599974Z ##[group]Run seemethere/upload-artifact-s3@v5
2025-08-15T00:00:29.4600300Z with:
2025-08-15T00:00:29.4600511Z   s3-bucket: gha-artifacts
2025-08-15T00:00:29.4600826Z   s3-prefix: pytorch/pytorch/16976255153/1/artifact

2025-08-15T00:00:29.4601172Z   retention-days: 14
2025-08-15T00:00:29.4601433Z   if-no-files-found: warn
2025-08-15T00:00:29.4601694Z   path: test-jsons-*.zip
2025-08-15T00:00:29.4601944Z   name: artifact
2025-08-15T00:00:29.4602167Z   region: us-east-1
2025-08-15T00:00:29.4614832Z env:
2025-08-15T00:00:29.4615138Z   GIT_DEFAULT_BRANCH: main
2025-08-15T00:00:29.4615647Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-15T00:00:29.4616202Z   DOCKER_CONTAINER_ID: fcf15ca113843da4c75bbd902de53a61593133478e83d4dad1cc0e9451721182
2025-08-15T00:00:29.4616671Z ##[endgroup]
2025-08-15T00:00:29.8240584Z NOTE: s3-prefix specified, ignoring name parameter
2025-08-15T00:00:29.8241138Z With the provided path, there will be 1 file uploaded
2025-08-15T00:00:29.8241577Z Uploading to s3 prefix: pytorch/pytorch/16976255153/1/artifact
2025-08-15T00:00:29.8313507Z Starting upload of test-jsons-test-inductor_torchbench-2-2-linux.g5.4xlarge.nvidia.gpu_48131873416.zip
2025-08-15T00:00:29.9681518Z Finished upload of test-jsons-test-inductor_torchbench-2-2-linux.g5.4xlarge.nvidia.gpu_48131873416.zip
2025-08-15T00:00:29.9977549Z ##[group]Run seemethere/upload-artifact-s3@v5
2025-08-15T00:00:29.9977878Z with:
2025-08-15T00:00:29.9978099Z   s3-bucket: gha-artifacts
2025-08-15T00:00:29.9978418Z   s3-prefix: pytorch/pytorch/16976255153/1/artifact

2025-08-15T00:00:29.9978752Z   retention-days: 14
2025-08-15T00:00:29.9979006Z   if-no-files-found: error
2025-08-15T00:00:29.9979299Z   path: test-reports-*.zip
2025-08-15T00:00:29.9979565Z   name: artifact
2025-08-15T00:00:29.9979792Z   region: us-east-1
2025-08-15T00:00:29.9980021Z env:
2025-08-15T00:00:29.9980229Z   GIT_DEFAULT_BRANCH: main
2025-08-15T00:00:29.9980553Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-15T00:00:29.9981095Z   DOCKER_CONTAINER_ID: fcf15ca113843da4c75bbd902de53a61593133478e83d4dad1cc0e9451721182
2025-08-15T00:00:29.9981568Z ##[endgroup]
2025-08-15T00:00:30.3316166Z NOTE: s3-prefix specified, ignoring name parameter
2025-08-15T00:00:30.3317007Z With the provided path, there will be 1 file uploaded
2025-08-15T00:00:30.3318289Z Uploading to s3 prefix: pytorch/pytorch/16976255153/1/artifact
2025-08-15T00:00:30.3388782Z Starting upload of test-reports-test-inductor_torchbench-2-2-linux.g5.4xlarge.nvidia.gpu_48131873416.zip
2025-08-15T00:00:30.5199379Z Finished upload of test-reports-test-inductor_torchbench-2-2-linux.g5.4xlarge.nvidia.gpu_48131873416.zip
2025-08-15T00:00:30.5492150Z ##[group]Run seemethere/upload-artifact-s3@v5
2025-08-15T00:00:30.5492473Z with:
2025-08-15T00:00:30.5492690Z   s3-bucket: gha-artifacts
2025-08-15T00:00:30.5493006Z   s3-prefix: pytorch/pytorch/16976255153/1/artifact

2025-08-15T00:00:30.5493337Z   retention-days: 14
2025-08-15T00:00:30.5493590Z   if-no-files-found: ignore
2025-08-15T00:00:30.5493854Z   path: logs-*.zip
2025-08-15T00:00:30.5494076Z   name: artifact
2025-08-15T00:00:30.5494302Z   region: us-east-1
2025-08-15T00:00:30.5494521Z env:
2025-08-15T00:00:30.5494720Z   GIT_DEFAULT_BRANCH: main
2025-08-15T00:00:30.5495064Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-15T00:00:30.5495598Z   DOCKER_CONTAINER_ID: fcf15ca113843da4c75bbd902de53a61593133478e83d4dad1cc0e9451721182
2025-08-15T00:00:30.5496070Z ##[endgroup]
2025-08-15T00:00:30.8809244Z NOTE: s3-prefix specified, ignoring name parameter
2025-08-15T00:00:30.8809761Z With the provided path, there will be 1 file uploaded
2025-08-15T00:00:30.8810194Z Uploading to s3 prefix: pytorch/pytorch/16976255153/1/artifact
2025-08-15T00:00:30.8882355Z Starting upload of logs-test-inductor_torchbench-2-2-linux.g5.4xlarge.nvidia.gpu_48131873416.zip
2025-08-15T00:00:31.0106394Z Finished upload of logs-test-inductor_torchbench-2-2-linux.g5.4xlarge.nvidia.gpu_48131873416.zip
2025-08-15T00:00:31.0399023Z ##[group]Run seemethere/upload-artifact-s3@v5
2025-08-15T00:00:31.0399349Z with:
2025-08-15T00:00:31.0399564Z   s3-bucket: gha-artifacts
2025-08-15T00:00:31.0399880Z   s3-prefix: pytorch/pytorch/16976255153/1/artifact

2025-08-15T00:00:31.0400211Z   retention-days: 14
2025-08-15T00:00:31.0400463Z   if-no-files-found: ignore
2025-08-15T00:00:31.0400743Z   path: debug-*.zip
2025-08-15T00:00:31.0400969Z   name: artifact
2025-08-15T00:00:31.0401195Z   region: us-east-1
2025-08-15T00:00:31.0401414Z env:
2025-08-15T00:00:31.0401617Z   GIT_DEFAULT_BRANCH: main
2025-08-15T00:00:31.0401945Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-15T00:00:31.0402466Z   DOCKER_CONTAINER_ID: fcf15ca113843da4c75bbd902de53a61593133478e83d4dad1cc0e9451721182
2025-08-15T00:00:31.0402950Z ##[endgroup]
2025-08-15T00:00:31.3753912Z No files were found with the provided path: debug-*.zip. No artifacts will be uploaded.
2025-08-15T00:00:31.4074507Z ##[group]Run # shellcheck disable=SC2156
2025-08-15T00:00:31.4074873Z # shellcheck disable=SC2156
2025-08-15T00:00:31.4075728Z find . -iname "core.[1-9]*" -exec docker exec "${DOCKER_CONTAINER_ID}" sh -c "gdb python {} -ex 'bt' -ex 'q'" \;
2025-08-15T00:00:31.4085796Z shell: /usr/bin/bash -e {0}
2025-08-15T00:00:31.4086065Z env:
2025-08-15T00:00:31.4086300Z   GIT_DEFAULT_BRANCH: main
2025-08-15T00:00:31.4086662Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-15T00:00:31.4087197Z   DOCKER_CONTAINER_ID: fcf15ca113843da4c75bbd902de53a61593133478e83d4dad1cc0e9451721182
2025-08-15T00:00:31.4087677Z ##[endgroup]
2025-08-15T00:00:31.8063313Z ##[group]Run seemethere/upload-artifact-s3@baba72d0712b404f646cebe0730933554ebce96a
2025-08-15T00:00:31.8063809Z with:
2025-08-15T00:00:31.8064150Z   name: coredumps-inductor_torchbench-2-2-linux.g5.4xlarge.nvidia.gpu
2025-08-15T00:00:31.8064566Z   retention-days: 14
2025-08-15T00:00:31.8064816Z   if-no-files-found: ignore
2025-08-15T00:00:31.8065080Z   path: ./**/core.[1-9]*
2025-08-15T00:00:31.8065336Z   s3-bucket: gha-artifacts
2025-08-15T00:00:31.8065586Z   region: us-east-1
2025-08-15T00:00:31.8065800Z env:
2025-08-15T00:00:31.8066002Z   GIT_DEFAULT_BRANCH: main
2025-08-15T00:00:31.8066322Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-15T00:00:31.8066896Z   DOCKER_CONTAINER_ID: fcf15ca113843da4c75bbd902de53a61593133478e83d4dad1cc0e9451721182
2025-08-15T00:00:31.8067367Z ##[endgroup]
2025-08-15T00:00:43.9131449Z No files were found with the provided path: ./**/core.[1-9]*. No artifacts will be uploaded.
2025-08-15T00:00:43.9551447Z Prepare all required actions
2025-08-15T00:00:43.9551793Z Getting action download info
2025-08-15T00:00:44.0773330Z ##[group]Run ./.github/actions/upload-utilization-stats
2025-08-15T00:00:44.0773697Z with:
2025-08-15T00:00:44.0773905Z   job_id: 48131873416
2025-08-15T00:00:44.0774366Z   job_name: cuda12.8-py3.10-gcc9-sm86 / test (inductor_torchbench, 2, 2, linux.g5.4xlarge.nvidia.gpu)
2025-08-15T00:00:44.0774878Z   workflow_name: inductor
2025-08-15T00:00:44.0775144Z   workflow_run_id: 16976255153
2025-08-15T00:00:44.0775413Z   workflow_attempt: 1
2025-08-15T00:00:44.0775642Z env:
2025-08-15T00:00:44.0776061Z   GIT_DEFAULT_BRANCH: main
2025-08-15T00:00:44.0776393Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-15T00:00:44.0776924Z   DOCKER_CONTAINER_ID: fcf15ca113843da4c75bbd902de53a61593133478e83d4dad1cc0e9451721182
2025-08-15T00:00:44.0777401Z ##[endgroup]
2025-08-15T00:00:44.0813036Z ##[group]Run echo "workflow_id: 16976255153"
2025-08-15T00:00:44.0813407Z echo "workflow_id: 16976255153"
2025-08-15T00:00:44.0813717Z echo "workflow_attempt: 1"
2025-08-15T00:00:44.0814027Z echo "workflow_Name: inductor"
2025-08-15T00:00:44.0814509Z echo "job_id: 48131873416"
2025-08-15T00:00:44.0815049Z echo "job_name:  cuda12.8-py3.10-gcc9-sm86 / test (inductor_torchbench, 2, 2, linux.g5.4xlarge.nvidia.gpu)"
2025-08-15T00:00:44.0815617Z echo "artifact_prefix: "
2025-08-15T00:00:44.0815916Z python3 --version
2025-08-15T00:00:44.0825962Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-15T00:00:44.0826321Z env:
2025-08-15T00:00:44.0826533Z   GIT_DEFAULT_BRANCH: main
2025-08-15T00:00:44.0826855Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-15T00:00:44.0827378Z   DOCKER_CONTAINER_ID: fcf15ca113843da4c75bbd902de53a61593133478e83d4dad1cc0e9451721182
2025-08-15T00:00:44.0827845Z ##[endgroup]
2025-08-15T00:00:44.0862010Z workflow_id: 16976255153
2025-08-15T00:00:44.0862373Z workflow_attempt: 1
2025-08-15T00:00:44.0862614Z workflow_Name: inductor
2025-08-15T00:00:44.0862858Z job_id: 48131873416
2025-08-15T00:00:44.0863303Z job_name:  cuda12.8-py3.10-gcc9-sm86 / test (inductor_torchbench, 2, 2, linux.g5.4xlarge.nvidia.gpu)
2025-08-15T00:00:44.0863812Z artifact_prefix: 
2025-08-15T00:00:44.0878327Z Python 3.9.23
2025-08-15T00:00:44.0925263Z ##[group]Run nick-fields/retry@v3.0.0
2025-08-15T00:00:44.0925552Z with:
2025-08-15T00:00:44.0925757Z   shell: bash
2025-08-15T00:00:44.0925977Z   timeout_minutes: 5
2025-08-15T00:00:44.0926215Z   max_attempts: 5
2025-08-15T00:00:44.0926440Z   retry_wait_seconds: 30
2025-08-15T00:00:44.0926967Z   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

2025-08-15T00:00:44.0927536Z   polling_interval_seconds: 1
2025-08-15T00:00:44.0927808Z   warning_on_retry: true
2025-08-15T00:00:44.0928061Z   continue_on_error: false
2025-08-15T00:00:44.0928307Z env:
2025-08-15T00:00:44.0928517Z   GIT_DEFAULT_BRANCH: main
2025-08-15T00:00:44.0928840Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-15T00:00:44.0929376Z   DOCKER_CONTAINER_ID: fcf15ca113843da4c75bbd902de53a61593133478e83d4dad1cc0e9451721182
2025-08-15T00:00:44.0929856Z ##[endgroup]
2025-08-15T00:00:44.4396918Z Defaulting to user installation because normal site-packages is not writeable
2025-08-15T00:00:44.5173018Z Collecting python-dateutil==2.8.2
2025-08-15T00:00:44.5328703Z   Downloading python_dateutil-2.8.2-py2.py3-none-any.whl (247 kB)
2025-08-15T00:00:44.5473459Z Requirement already satisfied: boto3==1.35.42 in /home/ec2-user/.local/lib/python3.9/site-packages (1.35.42)
2025-08-15T00:00:45.1118363Z Collecting pandas==2.1.3
2025-08-15T00:00:45.1155804Z   Downloading pandas-2.1.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (12.3 MB)
2025-08-15T00:00:45.2621289Z Requirement already satisfied: dataclasses_json==0.6.7 in /home/ec2-user/.local/lib/python3.9/site-packages (0.6.7)
2025-08-15T00:00:45.2636787Z Requirement already satisfied: six>=1.5 in /usr/lib/python3.9/site-packages (from python-dateutil==2.8.2) (1.15.0)
2025-08-15T00:00:45.2680652Z 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)
2025-08-15T00:00:45.2684958Z 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)
2025-08-15T00:00:45.2688604Z 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)
2025-08-15T00:00:45.3643192Z Collecting tzdata>=2022.1
2025-08-15T00:00:45.3676052Z   Downloading tzdata-2025.2-py2.py3-none-any.whl (347 kB)
2025-08-15T00:00:45.3779936Z Requirement already satisfied: pytz>=2020.1 in /usr/lib/python3.9/site-packages (from pandas==2.1.3) (2022.7.1)
2025-08-15T00:00:46.3110537Z Collecting numpy<2,>=1.22.4
2025-08-15T00:00:46.3145941Z   Downloading numpy-1.26.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (18.2 MB)
2025-08-15T00:00:46.5012544Z 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)
2025-08-15T00:00:46.5014453Z 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)
2025-08-15T00:00:46.5091982Z 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)
2025-08-15T00:00:46.5183559Z 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)
2025-08-15T00:00:46.5287397Z 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)
2025-08-15T00:00:46.5290484Z Requirement already satisfied: typing-extensions>=3.7.4 in /home/ec2-user/.local/lib/python3.9/site-packages (from typing-inspect<1,>=0.4.0->dataclasses_json==0.6.7) (4.14.1)
2025-08-15T00:00:46.6787619Z Installing collected packages: python-dateutil, tzdata, numpy, pandas
2025-08-15T00:00:51.6441033Z Successfully installed numpy-1.26.4 pandas-2.1.3 python-dateutil-2.8.2 tzdata-2025.2
2025-08-15T00:00:52.1778687Z Command completed after 1 attempt(s).
2025-08-15T00:00:52.1856644Z ##[group]Run python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \
2025-08-15T00:00:52.1857308Z python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \
2025-08-15T00:00:52.1857794Z   --workflow-run-id "16976255153" \
2025-08-15T00:00:52.1858135Z   --workflow-name "inductor" \
2025-08-15T00:00:52.1858463Z   --workflow-run-attempt "1" \
2025-08-15T00:00:52.1858776Z   --job-id "48131873416" \
2025-08-15T00:00:52.1859333Z   --job-name "cuda12.8-py3.10-gcc9-sm86 / test (inductor_torchbench, 2, 2, linux.g5.4xlarge.nvidia.gpu)" \
2025-08-15T00:00:52.1859883Z   --local-path "" \
2025-08-15T00:00:52.1860165Z   --artifact-prefix ""
2025-08-15T00:00:52.1869102Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-15T00:00:52.1869461Z env:
2025-08-15T00:00:52.1869670Z   GIT_DEFAULT_BRANCH: main
2025-08-15T00:00:52.1869990Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-15T00:00:52.1870523Z   DOCKER_CONTAINER_ID: fcf15ca113843da4c75bbd902de53a61593133478e83d4dad1cc0e9451721182
2025-08-15T00:00:52.1870985Z ##[endgroup]
2025-08-15T00:00:54.8031206Z repo: pytorch/pytorch
2025-08-15T00:00:54.8032100Z Search for test log in s3 bucket: ossci-utilization
2025-08-15T00:00:54.8032712Z Downloading logs-test-inductor_torchbench-2-2-linux.g5.4xlarge.nvidia.gpu_48131873416.zip
2025-08-15T00:00:54.8033534Z extracting usage_log.txt from zip file logs-test-inductor_torchbench-2-2-linux.g5.4xlarge.nvidia.gpu_48131873416.zip
2025-08-15T00:00:54.8034718Z Converted Log Model: UtilizationMetadata:
2025-08-15T00:00:54.8036069Z  UtilizationMetadata(level='metadata', workflow_id='16976255153', job_id='48131873416', workflow_name='inductor', job_name='cuda12.8-py3.10-gcc9-sm86 / test (inductor_torchbench, 2, 2, linux.g5.4xlarge.nvidia.gpu)', usage_collect_interval=1.0, data_model_version=1.5, start_at=1755211561, gpu_count=1, cpu_count=16, gpu_type='pynvml', error=None)
2025-08-15T00:00:54.8037477Z [Db Segments] detected pytest cmd: 15, generated segments: 15
2025-08-15T00:00:54.8037863Z [db model] Peek db timeseries 
2025-08-15T00:00:54.8038129Z :{
2025-08-15T00:00:54.8038338Z     "created_at": 1755216054,
2025-08-15T00:00:54.8038604Z     "type": "utilization",
2025-08-15T00:00:54.8038852Z     "tags": [
2025-08-15T00:00:54.8039065Z         "record"
2025-08-15T00:00:54.8039270Z     ],
2025-08-15T00:00:54.8039478Z     "time_stamp": 1755211561,
2025-08-15T00:00:54.8039753Z     "repo": "pytorch/pytorch",
2025-08-15T00:00:54.8040024Z     "workflow_id": 16976255153,
2025-08-15T00:00:54.8040285Z     "run_attempt": 1,
2025-08-15T00:00:54.8040523Z     "job_id": 48131873416,
2025-08-15T00:00:54.8040777Z     "workflow_name": "inductor",
2025-08-15T00:00:54.8041471Z     "job_name": "cuda12.8-py3.10-gcc9-sm86 / test (inductor_torchbench, 2, 2, linux.g5.4xlarge.nvidia.gpu)",
2025-08-15T00:00:54.8041986Z     "json_data": "{}"
2025-08-15T00:00:54.8042218Z }
2025-08-15T00:00:54.8042689Z Writing 1 documents to S3 ossci-utilization/util_metadata/v_1.5/pytorch/pytorch/16976255153/1/48131873416/metadata
2025-08-15T00:00:54.8043552Z Done! Finish writing document to S3 ossci-utilization/util_metadata/v_1.5/pytorch/pytorch/16976255153/1/48131873416/metadata 
2025-08-15T00:00:54.8044492Z Writing 891 documents to S3 ossci-utilization/util_timeseries/v_1.5/pytorch/pytorch/16976255153/1/48131873416/time_series
2025-08-15T00:00:54.8045395Z Done! Finish writing document to S3 ossci-utilization/util_timeseries/v_1.5/pytorch/pytorch/16976255153/1/48131873416/time_series 
2025-08-15T00:00:54.9221483Z ##[group]Run pytorch/test-infra/.github/actions/teardown-linux@main
2025-08-15T00:00:54.9221904Z with:
2025-08-15T00:00:54.9222094Z env:
2025-08-15T00:00:54.9222315Z   GIT_DEFAULT_BRANCH: main
2025-08-15T00:00:54.9222649Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-15T00:00:54.9223171Z   DOCKER_CONTAINER_ID: fcf15ca113843da4c75bbd902de53a61593133478e83d4dad1cc0e9451721182
2025-08-15T00:00:54.9223641Z ##[endgroup]
2025-08-15T00:00:54.9257661Z ##[group]Run set -eou pipefail
2025-08-15T00:00:54.9257969Z set -eou pipefail
2025-08-15T00:00:54.9258225Z 
2025-08-15T00:00:54.9258571Z echo "Holding runner for 2 hours until all ssh sessions have logged out"
2025-08-15T00:00:54.9258998Z for _ in $(seq 1440); do
2025-08-15T00:00:54.9259317Z     # Break if no ssh session exists anymore
2025-08-15T00:00:54.9259650Z     if [ "$(who)" = "" ]; then
2025-08-15T00:00:54.9259924Z       break
2025-08-15T00:00:54.9260174Z     fi
2025-08-15T00:00:54.9260389Z     echo "."
2025-08-15T00:00:54.9260623Z     sleep 5
2025-08-15T00:00:54.9260851Z done
2025-08-15T00:00:54.9269771Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-15T00:00:54.9270126Z env:
2025-08-15T00:00:54.9270340Z   GIT_DEFAULT_BRANCH: main
2025-08-15T00:00:54.9270658Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-15T00:00:54.9271187Z   DOCKER_CONTAINER_ID: fcf15ca113843da4c75bbd902de53a61593133478e83d4dad1cc0e9451721182
2025-08-15T00:00:54.9271660Z ##[endgroup]
2025-08-15T00:00:54.9301736Z Holding runner for 2 hours until all ssh sessions have logged out
2025-08-15T00:00:54.9391991Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty
2025-08-15T00:00:54.9392529Z # ignore expansion of "docker ps -q" since it could be empty
2025-08-15T00:00:54.9392945Z # shellcheck disable=SC2046
2025-08-15T00:00:54.9393283Z docker stop $(docker ps -q) || true
2025-08-15T00:00:54.9393614Z # Prune all of the docker images
2025-08-15T00:00:54.9393930Z docker system prune -af
2025-08-15T00:00:54.9402884Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-15T00:00:54.9403238Z env:
2025-08-15T00:00:54.9403453Z   GIT_DEFAULT_BRANCH: main
2025-08-15T00:00:54.9403778Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-15T00:00:54.9404296Z   DOCKER_CONTAINER_ID: fcf15ca113843da4c75bbd902de53a61593133478e83d4dad1cc0e9451721182
2025-08-15T00:00:54.9404773Z ##[endgroup]
2025-08-15T00:01:05.8147419Z fcf15ca11384
2025-08-15T00:01:08.4590422Z Deleted Containers:
2025-08-15T00:01:08.4590874Z fcf15ca113843da4c75bbd902de53a61593133478e83d4dad1cc0e9451721182
2025-08-15T00:01:08.4591193Z 
2025-08-15T00:01:28.4067280Z Deleted Images:
2025-08-15T00:01:28.4067683Z untagged: public.ecr.aws/docker/library/python:3.13
2025-08-15T00:01:28.4068405Z untagged: public.ecr.aws/docker/library/python@sha256:50cbf8e58ca53a806b99250b1ba2d16c19433e8c42e7eb4ac4ea924b095e280b
2025-08-15T00:01:28.4069199Z deleted: sha256:51d2e96efc8fe0838f414c149b869ca6900d94dbe656ff27fe5c1302cf37e862
2025-08-15T00:01:28.4070139Z deleted: sha256:c1bb2eb73491df8bcc15d05b6059964a2a824a5be52827693d7bc24968f5c25b
2025-08-15T00:01:28.4070758Z deleted: sha256:d5213d9bf3afbfb2aef04c838094292dc6b52541bf9e55d21db911d7ae151f60
2025-08-15T00:01:28.4071369Z deleted: sha256:0d06cf036e638a073ebfb88fbda537a30dd48c28c24216cccc7c22e46e50a6e3
2025-08-15T00:01:28.4071980Z deleted: sha256:4e65c0510f8c22592464db0bb373e99224184267eec9f996c5de50ed7d194fad
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2025-08-15T00:01:28.4124775Z 
2025-08-15T00:01:28.4124902Z Total reclaimed space: 79.78GB
2025-08-15T00:01:28.4178049Z ##[group]Run set +e
2025-08-15T00:01:28.4178353Z set +e
2025-08-15T00:01:28.4178577Z set -x
2025-08-15T00:01:28.4178794Z 
2025-08-15T00:01:28.4178995Z nvidia-smi
2025-08-15T00:01:28.4179428Z # NB: Surprisingly, nvidia-smi command returns successfully with return code 0 even in
2025-08-15T00:01:28.4180088Z # the case where the driver has already crashed as it still can get the driver version
2025-08-15T00:01:28.4180721Z # and some basic information like the bus ID.  However, the rest of the information
2025-08-15T00:01:28.4181222Z # would be missing (ERR!), for example:
2025-08-15T00:01:28.4181533Z #
2025-08-15T00:01:28.4181833Z # +-----------------------------------------------------------------------------+
2025-08-15T00:01:28.4182340Z # | NVIDIA-SMI 525.89.02    Driver Version: 525.89.02    CUDA Version: 12.0     |
2025-08-15T00:01:28.4182861Z # |-------------------------------+----------------------+----------------------+
2025-08-15T00:01:28.4183371Z # | GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
2025-08-15T00:01:28.4183921Z # | Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
2025-08-15T00:01:28.4184380Z # |                               |                      |               MIG M. |
2025-08-15T00:01:28.4184735Z # |===============================+======================+======================|
2025-08-15T00:01:28.4185146Z # |   0  ERR!                Off  | 00000000:00:1E.0 Off |                 ERR! |
2025-08-15T00:01:28.4185652Z # |ERR!  ERR! ERR!    ERR! / ERR! |   4184MiB / 23028MiB |    ERR!      Default |
2025-08-15T00:01:28.4186077Z # |                               |                      |                 ERR! |
2025-08-15T00:01:28.4186483Z # +-------------------------------+----------------------+----------------------+
2025-08-15T00:01:28.4186836Z #
2025-08-15T00:01:28.4187124Z # +-----------------------------------------------------------------------------+
2025-08-15T00:01:28.4187561Z # | Processes:                                                                  |
2025-08-15T00:01:28.4188020Z # |  GPU   GI   CI        PID   Type   Process name                  GPU Memory |
2025-08-15T00:01:28.4188445Z # |        ID   ID                                                   Usage      |
2025-08-15T00:01:28.4188999Z # |=============================================================================|
2025-08-15T00:01:28.4189403Z # +-----------------------------------------------------------------------------+
2025-08-15T00:01:28.4189767Z #
2025-08-15T00:01:28.4190140Z # This should be reported as a failure instead as it will guarantee to fail when
2025-08-15T00:01:28.4190635Z # Docker tries to run with --gpus all
2025-08-15T00:01:28.4190949Z #
2025-08-15T00:01:28.4191310Z # So, the correct check here is to query one of the missing piece of info like
2025-08-15T00:01:28.4191812Z # GPU name, so that the command can fail accordingly
2025-08-15T00:01:28.4192291Z nvidia-smi --query-gpu=gpu_name --format=csv,noheader --id=0
2025-08-15T00:01:28.4192711Z NVIDIA_SMI_STATUS=$?
2025-08-15T00:01:28.4192974Z 
2025-08-15T00:01:28.4193396Z # These are acceptable return code from nvidia-smi as copied from setup-nvidia GitHub action
2025-08-15T00:01:28.4194020Z if [ "$NVIDIA_SMI_STATUS" -ne 0 ] && [ "$NVIDIA_SMI_STATUS" -ne 14 ]; then
2025-08-15T00:01:28.4194578Z   echo "NVIDIA driver installation has failed, shutting down the runner..."
2025-08-15T00:01:28.4195058Z   .github/scripts/stop_runner_service.sh
2025-08-15T00:01:28.4195396Z fi
2025-08-15T00:01:28.4195601Z 
2025-08-15T00:01:28.4196119Z # For runner with multiple GPUs, we also want to confirm that the number of GPUs are the
2025-08-15T00:01:28.4196720Z # power of 2, i.e. 1, 2, 4, or 8. This is to avoid flaky test issue when one GPU fails
2025-08-15T00:01:28.4197226Z # https://github.com/pytorch/test-infra/issues/4000
2025-08-15T00:01:28.4197649Z GPU_COUNT=$(nvidia-smi --list-gpus | wc -l)
2025-08-15T00:01:28.4197999Z NVIDIA_SMI_STATUS=$?
2025-08-15T00:01:28.4198265Z 
2025-08-15T00:01:28.4198679Z # These are acceptable return code from nvidia-smi as copied from setup-nvidia GitHub action
2025-08-15T00:01:28.4199304Z if [ "$NVIDIA_SMI_STATUS" -ne 0 ] && [ "$NVIDIA_SMI_STATUS" -ne 14 ]; then
2025-08-15T00:01:28.4199869Z   echo "NVIDIA driver installation has failed, shutting down the runner..."
2025-08-15T00:01:28.4200363Z   .github/scripts/stop_runner_service.sh
2025-08-15T00:01:28.4200682Z fi
2025-08-15T00:01:28.4200900Z 
2025-08-15T00:01:28.4201153Z # Check the GPU count to be a power of 2
2025-08-15T00:01:28.4213827Z if [ "$GPU_COUNT" -le 8 ] && [ "$GPU_COUNT" -ne 1 ] && [ "$GPU_COUNT" -ne 2 ] && [ "$GPU_COUNT" -ne 4 ] && [ "$GPU_COUNT" -ne 8 ]; then
2025-08-15T00:01:28.4214593Z   echo "NVIDIA driver detects $GPU_COUNT GPUs. The runner has a broken GPU, shutting it down..."
2025-08-15T00:01:28.4215176Z   .github/scripts/stop_runner_service.sh
2025-08-15T00:01:28.4215535Z fi
2025-08-15T00:01:28.4228259Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-15T00:01:28.4228625Z env:
2025-08-15T00:01:28.4228840Z   GIT_DEFAULT_BRANCH: main
2025-08-15T00:01:28.4229172Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-08-15T00:01:28.4229707Z   DOCKER_CONTAINER_ID: fcf15ca113843da4c75bbd902de53a61593133478e83d4dad1cc0e9451721182
2025-08-15T00:01:28.4230184Z ##[endgroup]
2025-08-15T00:01:28.4267712Z + nvidia-smi
2025-08-15T00:01:28.4466801Z Fri Aug 15 00:01:28 2025       
2025-08-15T00:01:28.4467181Z +-----------------------------------------------------------------------------------------+
2025-08-15T00:01:28.4467695Z | NVIDIA-SMI 570.133.07             Driver Version: 570.133.07     CUDA Version: 12.8     |
2025-08-15T00:01:28.4468189Z |-----------------------------------------+------------------------+----------------------+
2025-08-15T00:01:28.4468698Z | GPU  Name                 Persistence-M | Bus-Id          Disp.A | Volatile Uncorr. ECC |
2025-08-15T00:01:28.4469231Z | Fan  Temp   Perf          Pwr:Usage/Cap |           Memory-Usage | GPU-Util  Compute M. |
2025-08-15T00:01:28.4469925Z |                                         |                        |               MIG M. |
2025-08-15T00:01:28.4470274Z |=========================================+========================+======================|
2025-08-15T00:01:28.4628652Z |   0  NVIDIA A10G                    On  |   00000000:00:1E.0 Off |                    0 |
2025-08-15T00:01:28.4629133Z |  0%   35C    P8             15W /  300W |       0MiB /  23028MiB |      0%      Default |
2025-08-15T00:01:28.4629533Z |                                         |                        |                  N/A |
2025-08-15T00:01:28.4629945Z +-----------------------------------------+------------------------+----------------------+
2025-08-15T00:01:28.4633355Z                                                                                          
2025-08-15T00:01:28.4633981Z +-----------------------------------------------------------------------------------------+
2025-08-15T00:01:28.4634533Z | Processes:                                                                              |
2025-08-15T00:01:28.4634992Z |  GPU   GI   CI              PID   Type   Process name                        GPU Memory |
2025-08-15T00:01:28.4635426Z |        ID   ID                                                               Usage      |
2025-08-15T00:01:28.4636131Z |=========================================================================================|
2025-08-15T00:01:28.4638535Z |  No running processes found                                                             |
2025-08-15T00:01:28.4639018Z +-----------------------------------------------------------------------------------------+
2025-08-15T00:01:28.7058327Z + nvidia-smi --query-gpu=gpu_name --format=csv,noheader --id=0
2025-08-15T00:01:28.7225649Z NVIDIA A10G
2025-08-15T00:01:28.7267392Z + NVIDIA_SMI_STATUS=0
2025-08-15T00:01:28.7267645Z + '[' 0 -ne 0 ']'
2025-08-15T00:01:28.7276566Z ++ nvidia-smi --list-gpus
2025-08-15T00:01:28.7278088Z ++ wc -l
2025-08-15T00:01:28.7496191Z + GPU_COUNT=1
2025-08-15T00:01:28.7496525Z + NVIDIA_SMI_STATUS=0
2025-08-15T00:01:28.7496793Z + '[' 0 -ne 0 ']'
2025-08-15T00:01:28.7497015Z + '[' 1 -le 8 ']'
2025-08-15T00:01:28.7497228Z + '[' 1 -ne 1 ']'
2025-08-15T00:01:28.7581480Z Post job cleanup.
2025-08-15T00:01:28.7632897Z Post job cleanup.
2025-08-15T00:01:28.8698164Z [command]/usr/bin/git version
2025-08-15T00:01:28.8745277Z git version 2.47.1
2025-08-15T00:01:28.8783197Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/ecf0509d-09fd-4764-9f35-aed44c206592/.gitconfig'
2025-08-15T00:01:28.8794270Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/ecf0509d-09fd-4764-9f35-aed44c206592' before making global git config changes
2025-08-15T00:01:28.8795709Z Adding repository directory to the temporary git global config as a safe directory
2025-08-15T00:01:28.8801006Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-08-15T00:01:28.8854959Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
2025-08-15T00:01:28.8905340Z [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' || :"
2025-08-15T00:01:28.9304120Z Entering 'android/libs/fbjni'
2025-08-15T00:01:28.9389005Z Entering 'third_party/FP16'
2025-08-15T00:01:28.9469088Z Entering 'third_party/FXdiv'
2025-08-15T00:01:28.9547890Z Entering 'third_party/NNPACK'
2025-08-15T00:01:28.9630423Z Entering 'third_party/NVTX'
2025-08-15T00:01:28.9712406Z Entering 'third_party/VulkanMemoryAllocator'
2025-08-15T00:01:28.9790757Z Entering 'third_party/XNNPACK'
2025-08-15T00:01:28.9890690Z Entering 'third_party/aiter'
2025-08-15T00:01:28.9969397Z Entering 'third_party/aiter/3rdparty/composable_kernel'
2025-08-15T00:01:29.0060531Z Entering 'third_party/benchmark'
2025-08-15T00:01:29.0140549Z Entering 'third_party/composable_kernel'
2025-08-15T00:01:29.0228730Z Entering 'third_party/cpp-httplib'
2025-08-15T00:01:29.0305398Z Entering 'third_party/cpuinfo'
2025-08-15T00:01:29.0390930Z Entering 'third_party/cudnn_frontend'
2025-08-15T00:01:29.0474107Z Entering 'third_party/cutlass'
2025-08-15T00:01:29.0562233Z Entering 'third_party/fbgemm'
2025-08-15T00:01:29.0645428Z Entering 'third_party/fbgemm/external/asmjit'
2025-08-15T00:01:29.0720987Z Entering 'third_party/fbgemm/external/composable_kernel'
2025-08-15T00:01:29.0806756Z Entering 'third_party/fbgemm/external/cpuinfo'
2025-08-15T00:01:29.0885420Z Entering 'third_party/fbgemm/external/cutlass'
2025-08-15T00:01:29.0972109Z Entering 'third_party/fbgemm/external/googletest'
2025-08-15T00:01:29.1049816Z Entering 'third_party/fbgemm/external/hipify_torch'
2025-08-15T00:01:29.1126668Z Entering 'third_party/fbgemm/external/json'
2025-08-15T00:01:29.1210626Z Entering 'third_party/flash-attention'
2025-08-15T00:01:29.1289493Z Entering 'third_party/flash-attention/csrc/composable_kernel'
2025-08-15T00:01:29.1375037Z Entering 'third_party/flash-attention/csrc/cutlass'
2025-08-15T00:01:29.1465849Z Entering 'third_party/flatbuffers'
2025-08-15T00:01:29.1549386Z Entering 'third_party/fmt'
2025-08-15T00:01:29.1632644Z Entering 'third_party/gemmlowp/gemmlowp'
2025-08-15T00:01:29.1713326Z Entering 'third_party/gloo'
2025-08-15T00:01:29.1794946Z Entering 'third_party/googletest'
2025-08-15T00:01:29.1879670Z Entering 'third_party/ideep'
2025-08-15T00:01:29.1959670Z Entering 'third_party/ideep/mkl-dnn'
2025-08-15T00:01:29.2044997Z Entering 'third_party/ittapi'
2025-08-15T00:01:29.2126077Z Entering 'third_party/kineto'
2025-08-15T00:01:29.2204733Z Entering 'third_party/kineto/libkineto/third_party/dynolog'
2025-08-15T00:01:29.2281478Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-08-15T00:01:29.2366702Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-08-15T00:01:29.2443992Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-08-15T00:01:29.2521213Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-08-15T00:01:29.2597177Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-08-15T00:01:29.2681527Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-08-15T00:01:29.2764092Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-08-15T00:01:29.2841093Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-08-15T00:01:29.2921171Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-08-15T00:01:29.3004861Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2025-08-15T00:01:29.3081854Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2025-08-15T00:01:29.3163711Z Entering 'third_party/kleidiai'
2025-08-15T00:01:29.3247670Z Entering 'third_party/mimalloc'
2025-08-15T00:01:29.3327119Z Entering 'third_party/nlohmann'
2025-08-15T00:01:29.3413626Z Entering 'third_party/onnx'
2025-08-15T00:01:29.3509339Z Entering 'third_party/onnx/third_party/pybind11'
2025-08-15T00:01:29.3593766Z Entering 'third_party/opentelemetry-cpp'
2025-08-15T00:01:29.3674840Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-08-15T00:01:29.3756363Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-08-15T00:01:29.3833205Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-08-15T00:01:29.3909521Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-08-15T00:01:29.3987653Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-08-15T00:01:29.4064365Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-08-15T00:01:29.4140491Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-08-15T00:01:29.4215349Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-08-15T00:01:29.4300300Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-08-15T00:01:29.4382633Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-08-15T00:01:29.4487393Z Entering 'third_party/pocketfft'
2025-08-15T00:01:29.4570698Z Entering 'third_party/protobuf'
2025-08-15T00:01:29.4655537Z Entering 'third_party/protobuf/third_party/benchmark'
2025-08-15T00:01:29.4733794Z Entering 'third_party/protobuf/third_party/googletest'
2025-08-15T00:01:29.4814285Z Entering 'third_party/psimd'
2025-08-15T00:01:29.4893016Z Entering 'third_party/pthreadpool'
2025-08-15T00:01:29.4976462Z Entering 'third_party/pybind11'
2025-08-15T00:01:29.5058496Z Entering 'third_party/python-peachpy'
2025-08-15T00:01:29.5137333Z Entering 'third_party/sleef'
2025-08-15T00:01:29.5218001Z Entering 'third_party/tensorpipe'
2025-08-15T00:01:29.5297785Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-08-15T00:01:29.5375212Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-08-15T00:01:29.5452158Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-08-15T00:01:29.5535357Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-08-15T00:01:29.5610746Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-08-15T00:01:29.5731873Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
2025-08-15T00:01:29.5748188Z http.https://github.com/.extraheader
2025-08-15T00:01:29.5758713Z [command]/usr/bin/git config --local --unset-all http.https://github.com/.extraheader
2025-08-15T00:01:29.5798239Z [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' || :"
2025-08-15T00:01:29.6204454Z Entering 'android/libs/fbjni'
2025-08-15T00:01:29.6260525Z http.https://github.com/.extraheader
2025-08-15T00:01:29.6310820Z Entering 'third_party/FP16'
2025-08-15T00:01:29.6366715Z http.https://github.com/.extraheader
2025-08-15T00:01:29.6417336Z Entering 'third_party/FXdiv'
2025-08-15T00:01:29.6469831Z http.https://github.com/.extraheader
2025-08-15T00:01:29.6519887Z Entering 'third_party/NNPACK'
2025-08-15T00:01:29.6575221Z http.https://github.com/.extraheader
2025-08-15T00:01:29.6625494Z Entering 'third_party/NVTX'
2025-08-15T00:01:29.6677539Z http.https://github.com/.extraheader
2025-08-15T00:01:29.6732114Z Entering 'third_party/VulkanMemoryAllocator'
2025-08-15T00:01:29.6783228Z http.https://github.com/.extraheader
2025-08-15T00:01:29.6834833Z Entering 'third_party/XNNPACK'
2025-08-15T00:01:29.6889174Z http.https://github.com/.extraheader
2025-08-15T00:01:29.6953937Z Entering 'third_party/aiter'
2025-08-15T00:01:29.7004991Z http.https://github.com/.extraheader
2025-08-15T00:01:29.7055505Z Entering 'third_party/aiter/3rdparty/composable_kernel'
2025-08-15T00:01:29.7106178Z http.https://github.com/.extraheader
2025-08-15T00:01:29.7167418Z Entering 'third_party/benchmark'
2025-08-15T00:01:29.7219994Z http.https://github.com/.extraheader
2025-08-15T00:01:29.7272141Z Entering 'third_party/composable_kernel'
2025-08-15T00:01:29.7324560Z http.https://github.com/.extraheader
2025-08-15T00:01:29.7381897Z Entering 'third_party/cpp-httplib'
2025-08-15T00:01:29.7434925Z http.https://github.com/.extraheader
2025-08-15T00:01:29.7485059Z Entering 'third_party/cpuinfo'
2025-08-15T00:01:29.7537632Z http.https://github.com/.extraheader
2025-08-15T00:01:29.7588763Z Entering 'third_party/cudnn_frontend'
2025-08-15T00:01:29.7641152Z http.https://github.com/.extraheader
2025-08-15T00:01:29.7692053Z Entering 'third_party/cutlass'
2025-08-15T00:01:29.7748584Z http.https://github.com/.extraheader
2025-08-15T00:01:29.7807988Z Entering 'third_party/fbgemm'
2025-08-15T00:01:29.7860621Z http.https://github.com/.extraheader
2025-08-15T00:01:29.7912491Z Entering 'third_party/fbgemm/external/asmjit'
2025-08-15T00:01:29.7966014Z http.https://github.com/.extraheader
2025-08-15T00:01:29.8015120Z Entering 'third_party/fbgemm/external/composable_kernel'
2025-08-15T00:01:29.8066439Z http.https://github.com/.extraheader
2025-08-15T00:01:29.8123164Z Entering 'third_party/fbgemm/external/cpuinfo'
2025-08-15T00:01:29.8176294Z http.https://github.com/.extraheader
2025-08-15T00:01:29.8225549Z Entering 'third_party/fbgemm/external/cutlass'
2025-08-15T00:01:29.8281979Z http.https://github.com/.extraheader
2025-08-15T00:01:29.8341485Z Entering 'third_party/fbgemm/external/googletest'
2025-08-15T00:01:29.8392504Z http.https://github.com/.extraheader
2025-08-15T00:01:29.8442980Z Entering 'third_party/fbgemm/external/hipify_torch'
2025-08-15T00:01:29.8492917Z http.https://github.com/.extraheader
2025-08-15T00:01:29.8541657Z Entering 'third_party/fbgemm/external/json'
2025-08-15T00:01:29.8591232Z http.https://github.com/.extraheader
2025-08-15T00:01:29.8649832Z Entering 'third_party/flash-attention'
2025-08-15T00:01:29.8703555Z http.https://github.com/.extraheader
2025-08-15T00:01:29.8756454Z Entering 'third_party/flash-attention/csrc/composable_kernel'
2025-08-15T00:01:29.8809616Z http.https://github.com/.extraheader
2025-08-15T00:01:29.8866235Z Entering 'third_party/flash-attention/csrc/cutlass'
2025-08-15T00:01:29.8916450Z http.https://github.com/.extraheader
2025-08-15T00:01:29.8977934Z Entering 'third_party/flatbuffers'
2025-08-15T00:01:29.9030769Z http.https://github.com/.extraheader
2025-08-15T00:01:29.9084080Z Entering 'third_party/fmt'
2025-08-15T00:01:29.9135537Z http.https://github.com/.extraheader
2025-08-15T00:01:29.9184778Z Entering 'third_party/gemmlowp/gemmlowp'
2025-08-15T00:01:29.9241165Z http.https://github.com/.extraheader
2025-08-15T00:01:29.9291389Z Entering 'third_party/gloo'
2025-08-15T00:01:29.9342631Z http.https://github.com/.extraheader
2025-08-15T00:01:29.9393020Z Entering 'third_party/googletest'
2025-08-15T00:01:29.9444545Z http.https://github.com/.extraheader
2025-08-15T00:01:29.9494754Z Entering 'third_party/ideep'
2025-08-15T00:01:29.9547911Z http.https://github.com/.extraheader
2025-08-15T00:01:29.9594723Z Entering 'third_party/ideep/mkl-dnn'
2025-08-15T00:01:29.9646045Z http.https://github.com/.extraheader
2025-08-15T00:01:29.9704357Z Entering 'third_party/ittapi'
2025-08-15T00:01:29.9759288Z http.https://github.com/.extraheader
2025-08-15T00:01:29.9809124Z Entering 'third_party/kineto'
2025-08-15T00:01:29.9861581Z http.https://github.com/.extraheader
2025-08-15T00:01:29.9911233Z Entering 'third_party/kineto/libkineto/third_party/dynolog'
2025-08-15T00:01:29.9961961Z http.https://github.com/.extraheader
2025-08-15T00:01:30.0011307Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-08-15T00:01:30.0064970Z http.https://github.com/.extraheader
2025-08-15T00:01:30.0117366Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-08-15T00:01:30.0168671Z http.https://github.com/.extraheader
2025-08-15T00:01:30.0219115Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-08-15T00:01:30.0271681Z http.https://github.com/.extraheader
2025-08-15T00:01:30.0320714Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-08-15T00:01:30.0373455Z http.https://github.com/.extraheader
2025-08-15T00:01:30.0421118Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-08-15T00:01:30.0472984Z http.https://github.com/.extraheader
2025-08-15T00:01:30.0532257Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-08-15T00:01:30.0583793Z http.https://github.com/.extraheader
2025-08-15T00:01:30.0634404Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-08-15T00:01:30.0684510Z http.https://github.com/.extraheader
2025-08-15T00:01:30.0735436Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-08-15T00:01:30.0786282Z http.https://github.com/.extraheader
2025-08-15T00:01:30.0839521Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-08-15T00:01:30.0889688Z http.https://github.com/.extraheader
2025-08-15T00:01:30.0944944Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2025-08-15T00:01:30.0995170Z http.https://github.com/.extraheader
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2025-08-15T00:01:30.1097181Z http.https://github.com/.extraheader
2025-08-15T00:01:30.1149397Z Entering 'third_party/kleidiai'
2025-08-15T00:01:30.1201503Z http.https://github.com/.extraheader
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2025-08-15T00:01:30.1303466Z http.https://github.com/.extraheader
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2025-08-15T00:01:30.1406346Z http.https://github.com/.extraheader
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2025-08-15T00:01:30.1510690Z http.https://github.com/.extraheader
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2025-08-15T00:01:30.1631636Z http.https://github.com/.extraheader
2025-08-15T00:01:30.1688872Z Entering 'third_party/opentelemetry-cpp'
2025-08-15T00:01:30.1741163Z http.https://github.com/.extraheader
2025-08-15T00:01:30.1792726Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-08-15T00:01:30.1843034Z http.https://github.com/.extraheader
2025-08-15T00:01:30.1891938Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-08-15T00:01:30.1942245Z http.https://github.com/.extraheader
2025-08-15T00:01:30.1991962Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-08-15T00:01:30.2043754Z http.https://github.com/.extraheader
2025-08-15T00:01:30.2091410Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-08-15T00:01:30.2141135Z http.https://github.com/.extraheader
2025-08-15T00:01:30.2191330Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-08-15T00:01:30.2241389Z http.https://github.com/.extraheader
2025-08-15T00:01:30.2291721Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-08-15T00:01:30.2341773Z http.https://github.com/.extraheader
2025-08-15T00:01:30.2390385Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-08-15T00:01:30.2441113Z http.https://github.com/.extraheader
2025-08-15T00:01:30.2489680Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-08-15T00:01:30.2543654Z http.https://github.com/.extraheader
2025-08-15T00:01:30.2595589Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-08-15T00:01:30.2650755Z http.https://github.com/.extraheader
2025-08-15T00:01:30.2706014Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-08-15T00:01:30.2756444Z http.https://github.com/.extraheader
2025-08-15T00:01:30.2828886Z Entering 'third_party/pocketfft'
2025-08-15T00:01:30.2880544Z http.https://github.com/.extraheader
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2025-08-15T00:01:30.3087936Z http.https://github.com/.extraheader
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2025-08-15T00:01:30.3186692Z http.https://github.com/.extraheader
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2025-08-15T00:01:30.3763326Z Entering 'third_party/tensorpipe'
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2025-08-15T00:01:30.4319412Z http.https://github.com/.extraheader
2025-08-15T00:01:30.4499754Z A job completed hook has been configured by the self-hosted runner administrator
2025-08-15T00:01:30.4532758Z ##[group]Run '/home/ec2-user/runner-scripts/after_job.sh'
2025-08-15T00:01:30.4541090Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-15T00:01:30.4541636Z ##[endgroup]
2025-08-15T00:01:38.3994139Z Cleaning up orphan processes