2025-12-04T09:18:36.0087853Z Current runner version: '2.330.0'
2025-12-04T09:18:36.0093647Z Runner name: 'i-075e7fbe9a561d9a2'
2025-12-04T09:18:36.0094419Z Runner group name: 'default'
2025-12-04T09:18:36.0095233Z Machine name: 'ip-10-0-67-207'
2025-12-04T09:18:36.0098012Z ##[group]GITHUB_TOKEN Permissions
2025-12-04T09:18:36.0100313Z Contents: read
2025-12-04T09:18:36.0100824Z Metadata: read
2025-12-04T09:18:36.0101320Z ##[endgroup]
2025-12-04T09:18:36.0103937Z Secret source: Actions
2025-12-04T09:18:36.0104600Z Prepare workflow directory
2025-12-04T09:18:36.0638730Z Prepare all required actions
2025-12-04T09:18:36.0675228Z Getting action download info
2025-12-04T09:18:36.3957717Z Download action repository 'pytorch/test-infra@main' (SHA:39aa74d619174326f4e2fb0e216151c2f29d9ffd)
2025-12-04T09:18:38.8706946Z Download action repository 'pytorch/pytorch@main' (SHA:7716da9fb23f27a65b41f9f016a2afadf281c18f)
2025-12-04T09:18:54.9210785Z Download action repository 'actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065' (SHA:a26af69be951a213d495a4c3e4e4022e16d87065)
2025-12-04T09:18:55.2696321Z Download action repository 'aws-actions/configure-aws-credentials@ececac1a45f3b08a01d2dd070d28d111c5fe6722' (SHA:ececac1a45f3b08a01d2dd070d28d111c5fe6722)
2025-12-04T09:18:55.5232923Z Download action repository 'aws-actions/amazon-ecr-login@062b18b96a7aff071d4dc91bc00c4c1a7945b076' (SHA:062b18b96a7aff071d4dc91bc00c4c1a7945b076)
2025-12-04T09:18:55.7257952Z Download action repository 'seemethere/download-artifact-s3@1da556a7aa0a088e3153970611f6c432d58e80e6' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6)
2025-12-04T09:18:55.9563969Z Download action repository 'seemethere/upload-artifact-s3@baba72d0712b404f646cebe0730933554ebce96a' (SHA:baba72d0712b404f646cebe0730933554ebce96a)
2025-12-04T09:18:56.3409586Z Getting action download info
2025-12-04T09:18:56.4920682Z Download action repository 'actions/checkout@v4' (SHA:34e114876b0b11c390a56381ad16ebd13914f8d5)
2025-12-04T09:18:56.7833223Z Getting action download info
2025-12-04T09:18:56.9272727Z Download action repository 'nick-fields/retry@v3.0.0' (SHA:7152eba30c6575329ac0576536151aca5a72780e)
2025-12-04T09:18:57.1339311Z Getting action download info
2025-12-04T09:18:57.2865921Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482)
2025-12-04T09:18:57.4923456Z Getting action download info
2025-12-04T09:18:57.6423151Z Uses: pytorch/pytorch/.github/workflows/_linux-test.yml@refs/heads/main (ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32)
2025-12-04T09:18:57.6427010Z ##[group] Inputs
2025-12-04T09:18:57.6427360Z   build-environment: linux-jammy-cuda12.8-py3.10-gcc11-sm86
2025-12-04T09:18:57.6429862Z   test-matrix: {"include": [{"config": "inductor", "shard": 1, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "inductor", "shard": 2, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "inductor_distributed", "shard": 1, "num_shards": 1, "runner": "linux.g5.12xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "inductor_cpp_wrapper", "shard": 1, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "inductor_cpp_wrapper", "shard": 2, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests"}]}
2025-12-04T09:18:57.6432834Z   docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-inductor-benchmarks-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T09:18:57.6433721Z   sync-tag: 
2025-12-04T09:18:57.6434385Z   timeout-minutes: 240
2025-12-04T09:18:57.6434613Z   use-gha: 
2025-12-04T09:18:57.6434803Z   dashboard-tag: 
2025-12-04T09:18:57.6435023Z   s3-bucket: gha-artifacts
2025-12-04T09:18:57.6435269Z   aws-role-to-assume: 
2025-12-04T09:18:57.6435748Z   disable-monitor: false
2025-12-04T09:18:57.6436306Z   monitor-log-interval: 5
2025-12-04T09:18:57.6436747Z   monitor-data-collect-interval: 1
2025-12-04T09:18:57.6437032Z ##[endgroup]
2025-12-04T09:18:57.6437477Z Complete job name: inductor-test / test (inductor, 1, 2, linux.g5.4xlarge.nvidia.gpu, rerun_disabled_tests)
2025-12-04T09:18:57.7127630Z A job started hook has been configured by the self-hosted runner administrator
2025-12-04T09:18:57.7224929Z ##[group]Run '/home/ec2-user/runner-scripts/before_job.sh'
2025-12-04T09:18:57.7236086Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:18:57.7236636Z ##[endgroup]
2025-12-04T09:18:59.1881361Z Runner Type: linux.g5.4xlarge.nvidia.gpu
2025-12-04T09:18:59.1881946Z Instance Type: g5.4xlarge
2025-12-04T09:18:59.1882289Z AMI Name: unknown
2025-12-04T09:18:59.1934579Z AMI ID: ami-08982f1c5bf93d976
2025-12-04T09:19:04.6888732Z ##[group]Run pytorch/test-infra/.github/actions/setup-ssh@main
2025-12-04T09:19:04.6889129Z with:
2025-12-04T09:19:04.6889622Z   github-secret: ***
2025-12-04T09:19:04.6890281Z   instructions: All testing is done inside the container, to start an interactive session run:
  docker exec -it $(docker container ps --format '{{.ID}}') bash

2025-12-04T09:19:04.6890960Z   activate-with-label: false
2025-12-04T09:19:04.6891213Z   label: with-ssh
2025-12-04T09:19:04.6891435Z   remove-existing-keys: true
2025-12-04T09:19:04.6891685Z   fail-silently: true
2025-12-04T09:19:04.6891928Z env:
2025-12-04T09:19:04.6892119Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:19:04.6892359Z ##[endgroup]
2025-12-04T09:19:04.8275218Z Please see https://github.com/pytorch/pytorch/wiki/Debugging-using-with-ssh-for-Github-Actions for more info.
2025-12-04T09:19:04.8276455Z Not on pull request and ciflow reference could not be extracted, skipping adding ssh keys
2025-12-04T09:19:04.8446813Z ##[group]Run pytorch/pytorch/.github/actions/checkout-pytorch@main
2025-12-04T09:19:04.8447208Z with:
2025-12-04T09:19:04.8447411Z   no-sudo: true
2025-12-04T09:19:04.8447636Z   submodules: recursive
2025-12-04T09:19:04.8447888Z   fetch-depth: 0
2025-12-04T09:19:04.8448103Z env:
2025-12-04T09:19:04.8448298Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:19:04.8448542Z ##[endgroup]
2025-12-04T09:19:04.8518462Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-12-04T09:19:04.8519333Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-12-04T09:19:04.8533915Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:19:04.8534274Z env:
2025-12-04T09:19:04.8534489Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:19:04.8534755Z ##[endgroup]
2025-12-04T09:19:04.8622399Z ##[group]Run # Use all available CPUs for fetching
2025-12-04T09:19:04.8622811Z # Use all available CPUs for fetching
2025-12-04T09:19:04.8623131Z cd "${GITHUB_WORKSPACE}"
2025-12-04T09:19:04.8650299Z git config --global fetch.parallel 0
2025-12-04T09:19:04.8650694Z git config --global submodule.fetchJobs 0
2025-12-04T09:19:04.8651054Z 
2025-12-04T09:19:04.8651517Z # Clean workspace. The default checkout action should also do this, but
2025-12-04T09:19:04.8652021Z # do it here as well just in case
2025-12-04T09:19:04.8652349Z if [[ -d .git ]]; then
2025-12-04T09:19:04.8652648Z   if [ -z "${NO_SUDO}" ]; then
2025-12-04T09:19:04.8652975Z     sudo git clean -ffdx
2025-12-04T09:19:04.8653262Z   else
2025-12-04T09:19:04.8653526Z     git clean -ffdx
2025-12-04T09:19:04.8653794Z   fi
2025-12-04T09:19:04.8654003Z fi
2025-12-04T09:19:04.8663245Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:19:04.8663585Z env:
2025-12-04T09:19:04.8663829Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:19:04.8664074Z   NO_SUDO: true
2025-12-04T09:19:04.8664264Z ##[endgroup]
2025-12-04T09:19:04.8806544Z ##[group]Run actions/checkout@v4
2025-12-04T09:19:04.8807044Z with:
2025-12-04T09:19:04.8807289Z   ref: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T09:19:04.8807599Z   fetch-depth: 0
2025-12-04T09:19:04.8807816Z   submodules: recursive
2025-12-04T09:19:04.8808052Z   show-progress: false
2025-12-04T09:19:04.8808306Z   repository: pytorch/pytorch
2025-12-04T09:19:04.8808670Z   token: ***
2025-12-04T09:19:04.8808865Z   ssh-strict: true
2025-12-04T09:19:04.8809081Z   ssh-user: git
2025-12-04T09:19:04.8809304Z   persist-credentials: true
2025-12-04T09:19:04.8809541Z   clean: true
2025-12-04T09:19:04.8809782Z   sparse-checkout-cone-mode: true
2025-12-04T09:19:04.8810065Z   fetch-tags: false
2025-12-04T09:19:04.8810272Z   lfs: false
2025-12-04T09:19:04.8810485Z   set-safe-directory: true
2025-12-04T09:19:04.8810742Z env:
2025-12-04T09:19:04.8810931Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:19:04.8811165Z ##[endgroup]
2025-12-04T09:19:04.9928277Z Syncing repository: pytorch/pytorch
2025-12-04T09:19:04.9929503Z ##[group]Getting Git version info
2025-12-04T09:19:04.9929960Z Working directory is '/home/ec2-user/actions-runner/_work/pytorch/pytorch'
2025-12-04T09:19:04.9930556Z [command]/usr/bin/git version
2025-12-04T09:19:05.0119288Z git version 2.50.1
2025-12-04T09:19:05.0160636Z ##[endgroup]
2025-12-04T09:19:05.0170518Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/789a91ac-57c7-4163-8391-620622938607/.gitconfig'
2025-12-04T09:19:05.0191290Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/789a91ac-57c7-4163-8391-620622938607' before making global git config changes
2025-12-04T09:19:05.0192178Z Adding repository directory to the temporary git global config as a safe directory
2025-12-04T09:19:05.0196428Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-12-04T09:19:05.0249581Z Deleting the contents of '/home/ec2-user/actions-runner/_work/pytorch/pytorch'
2025-12-04T09:19:05.0253144Z ##[group]Initializing the repository
2025-12-04T09:19:05.0257671Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-12-04T09:19:05.0339384Z hint: Using 'master' as the name for the initial branch. This default branch name
2025-12-04T09:19:05.0339938Z hint: is subject to change. To configure the initial branch name to use in all
2025-12-04T09:19:05.0340453Z hint: of your new repositories, which will suppress this warning, call:
2025-12-04T09:19:05.0340824Z hint:
2025-12-04T09:19:05.0341105Z hint: 	git config --global init.defaultBranch <name>
2025-12-04T09:19:05.0341438Z hint:
2025-12-04T09:19:05.0341738Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and
2025-12-04T09:19:05.0342265Z hint: 'development'. The just-created branch can be renamed via this command:
2025-12-04T09:19:05.0342650Z hint:
2025-12-04T09:19:05.0342854Z hint: 	git branch -m <name>
2025-12-04T09:19:05.0343089Z hint:
2025-12-04T09:19:05.0343419Z hint: Disable this message with "git config set advice.defaultBranchName false"
2025-12-04T09:19:05.0349301Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/
2025-12-04T09:19:05.0361217Z [command]/usr/bin/git remote add origin https://github.com/pytorch/pytorch
2025-12-04T09:19:05.0408763Z ##[endgroup]
2025-12-04T09:19:05.0412713Z ##[group]Disabling automatic garbage collection
2025-12-04T09:19:05.0413099Z [command]/usr/bin/git config --local gc.auto 0
2025-12-04T09:19:05.0445851Z ##[endgroup]
2025-12-04T09:19:05.0446247Z ##[group]Setting up auth
2025-12-04T09:19:05.0452133Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
2025-12-04T09:19:05.0486637Z [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' || :"
2025-12-04T09:19:05.0929412Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
2025-12-04T09:19:05.0963729Z [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' || :"
2025-12-04T09:19:05.1363105Z [command]/usr/bin/git config --local --name-only --get-regexp ^includeIf\.gitdir:
2025-12-04T09:19:05.1398360Z [command]/usr/bin/git submodule foreach --recursive git config --local --show-origin --name-only --get-regexp remote.origin.url
2025-12-04T09:19:05.1787667Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic ***
2025-12-04T09:19:05.1852631Z ##[endgroup]
2025-12-04T09:19:05.1853046Z ##[group]Fetching the repository
2025-12-04T09:19:05.1861352Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/*
2025-12-04T09:19:57.6524773Z From https://github.com/pytorch/pytorch
2025-12-04T09:19:57.6527190Z  * [new branch]              2.6.0.dev20241004+          -> origin/2.6.0.dev20241004+
2025-12-04T09:19:57.6527759Z  * [new branch]              2.9.1                       -> origin/2.9.1
2025-12-04T09:19:57.6528302Z  * [new branch]              AaronWang04_addmmfusion_perftest -> origin/AaronWang04_addmmfusion_perftest
2025-12-04T09:19:57.6528892Z  * [new branch]              Flamefire-patch-1           -> origin/Flamefire-patch-1
2025-12-04T09:19:57.6530209Z  * [new branch]              HDCharles-2.6.0-release-notes -> origin/HDCharles-2.6.0-release-notes
2025-12-04T09:19:57.6531472Z  * [new branch]              HOPrintFunc                 -> origin/HOPrintFunc
2025-12-04T09:19:57.6534437Z  * [new branch]              IvanKobzarev/stack/1        -> origin/IvanKobzarev/stack/1
2025-12-04T09:19:57.6537134Z  * [new branch]              NicoshevSVE128              -> origin/NicoshevSVE128
2025-12-04T09:19:57.6538885Z  * [new branch]              PR-AOTInductorNoneBug       -> origin/PR-AOTInductorNoneBug
2025-12-04T09:19:57.6541215Z  * [new branch]              PR-AOTInductorNoneBugFix    -> origin/PR-AOTInductorNoneBugFix
2025-12-04T09:19:57.6543147Z  * [new branch]              PR-FixConfigsIssue          -> origin/PR-FixConfigsIssue
2025-12-04T09:19:57.6544965Z  * [new branch]              PR-NoneBugFix-viable        -> origin/PR-NoneBugFix-viable
2025-12-04T09:19:57.6547124Z  * [new branch]              PR-ResetToZero              -> origin/PR-ResetToZero
2025-12-04T09:19:57.6549050Z  * [new branch]              Update-Flash-Packaging      -> origin/Update-Flash-Packaging
2025-12-04T09:19:57.6551324Z  * [new branch]              VLA_exp                     -> origin/VLA_exp
2025-12-04T09:19:57.6553478Z  * [new branch]              activation_bench            -> origin/activation_bench
2025-12-04T09:19:57.6555278Z  * [new branch]              addmm-heuristic             -> origin/addmm-heuristic
2025-12-04T09:19:57.6557886Z  * [new branch]              adi/onednn_aarch64          -> origin/adi/onednn_aarch64
2025-12-04T09:19:57.6559729Z  * [new branch]              adi/test                    -> origin/adi/test
2025-12-04T09:19:57.6561596Z  * [new branch]              adi/test_bgemm              -> origin/adi/test_bgemm
2025-12-04T09:19:57.6563425Z  * [new branch]              adi/test_m8g                -> origin/adi/test_m8g
2025-12-04T09:19:57.6565306Z  * [new branch]              adi/test_onednn             -> origin/adi/test_onednn
2025-12-04T09:19:57.6567137Z  * [new branch]              adi/test_onednn_v3.9        -> origin/adi/test_onednn_v3.9
2025-12-04T09:19:57.6569158Z  * [new branch]              adi/test_presve_change      -> origin/adi/test_presve_change
2025-12-04T09:19:57.6571148Z  * [new branch]              adi/test_timm               -> origin/adi/test_timm
2025-12-04T09:19:57.6573531Z  * [new branch]              adi/testpresve_change       -> origin/adi/testpresve_change
2025-12-04T09:19:57.6576709Z  * [new branch]              aditew01/test/vec_bf16      -> origin/aditew01/test/vec_bf16
2025-12-04T09:19:57.6578582Z  * [new branch]              ah-globalfeedback-hook      -> origin/ah-globalfeedback-hook
2025-12-04T09:19:57.6581467Z  * [new branch]              albanD-patch-1              -> origin/albanD-patch-1
2025-12-04T09:19:57.6582946Z  * [new branch]              also-surround-shimh         -> origin/also-surround-shimh
2025-12-04T09:19:57.6585677Z  * [new branch]              angelayi/aot_compile        -> origin/angelayi/aot_compile
2025-12-04T09:19:57.6587893Z  * [new branch]              angelayi/aoti_additional_files -> origin/angelayi/aoti_additional_files
2025-12-04T09:19:57.6589602Z  * [new branch]              angelayi/benchmark          -> origin/angelayi/benchmark
2025-12-04T09:19:57.6591526Z  * [new branch]              angelayi/change_pytree_serialization -> origin/angelayi/change_pytree_serialization
2025-12-04T09:19:57.6593275Z  * [new branch]              angelayi/cpp_loader         -> origin/angelayi/cpp_loader
2025-12-04T09:19:57.6595201Z  * [new branch]              angelayi/inductor_const     -> origin/angelayi/inductor_const
2025-12-04T09:19:57.6596984Z  * [new branch]              angelayi/lstm               -> origin/angelayi/lstm
2025-12-04T09:19:57.6599722Z  * [new branch]              angelayi/no_so_weight       -> origin/angelayi/no_so_weight
2025-12-04T09:19:57.6602732Z  * [new branch]              angelayi/scan_layers        -> origin/angelayi/scan_layers
2025-12-04T09:19:57.6605112Z  * [new branch]              angelayi/side_eff           -> origin/angelayi/side_eff
2025-12-04T09:19:57.6606963Z  * [new branch]              angelayi/state_dict         -> origin/angelayi/state_dict
2025-12-04T09:19:57.6609056Z  * [new branch]              angelayi/symint_input       -> origin/angelayi/symint_input
2025-12-04T09:19:57.6611523Z  * [new branch]              angelayi/symm_mem           -> origin/angelayi/symm_mem
2025-12-04T09:19:57.6613376Z  * [new branch]              angelayi/test_cpp           -> origin/angelayi/test_cpp
2025-12-04T09:19:57.6615354Z  * [new branch]              angelayi/torch_size         -> origin/angelayi/torch_size
2025-12-04T09:19:57.6617241Z  * [new branch]              annotate_assert             -> origin/annotate_assert
2025-12-04T09:19:57.6619251Z  * [new branch]              annotate_fallback_kernel    -> origin/annotate_fallback_kernel
2025-12-04T09:19:57.6621136Z  * [new branch]              annotation_deepcopy         -> origin/annotation_deepcopy
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2025-12-04T09:19:58.6874666Z  * [new branch]              zhxhcen17/moodycamel        -> origin/zhxhcen17/moodycamel
2025-12-04T09:19:58.6877217Z  * [new branch]              zxiiro/build-times          -> origin/zxiiro/build-times
2025-12-04T09:19:58.6879023Z  * [new branch]              zxiiro/c7i.2xlarge          -> origin/zxiiro/c7i.2xlarge
2025-12-04T09:19:58.6880896Z  * [new branch]              zxiiro/c7i.2xlarge.h100     -> origin/zxiiro/c7i.2xlarge.h100
2025-12-04T09:19:58.6882667Z  * [new branch]              zxiiro/main                 -> origin/zxiiro/main
2025-12-04T09:19:58.6884500Z  * [new branch]              zxiiro/risc64               -> origin/zxiiro/risc64
2025-12-04T09:19:58.6886366Z  * [new branch]              zxiiro/test-multicloud-arc  -> origin/zxiiro/test-multicloud-arc
2025-12-04T09:19:58.6888131Z  * [new tag]                 bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug -> bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug
2025-12-04T09:19:58.6889611Z  * [new tag]                 ci/binaries/77164           -> ci/binaries/77164
2025-12-04T09:19:58.6891606Z  * [new tag]                 ciflow/b200/115316          -> ciflow/b200/115316
2025-12-04T09:19:58.6893073Z  * [new tag]                 ciflow/b200/160685          -> ciflow/b200/160685
2025-12-04T09:19:58.6894350Z  * [new tag]                 ciflow/b200/161607          -> ciflow/b200/161607
2025-12-04T09:19:58.6895267Z  * [new tag]                 ciflow/b200/161938          -> ciflow/b200/161938
2025-12-04T09:19:58.6896826Z  * [new tag]                 ciflow/b200/167207          -> ciflow/b200/167207
2025-12-04T09:19:58.6898120Z  * [new tag]                 ciflow/b200/167989          -> ciflow/b200/167989
2025-12-04T09:19:58.6899494Z  * [new tag]                 ciflow/b200/168096          -> ciflow/b200/168096
2025-12-04T09:19:58.6901189Z  * [new tag]                 ciflow/b200/168175          -> ciflow/b200/168175
2025-12-04T09:19:58.6903199Z  * [new tag]                 ciflow/b200/168195          -> ciflow/b200/168195
2025-12-04T09:19:58.6903992Z  * [new tag]                 ciflow/b200/169200          -> ciflow/b200/169200
2025-12-04T09:19:58.6905883Z  * [new tag]                 ciflow/b200/169216          -> ciflow/b200/169216
2025-12-04T09:19:58.6907738Z  * [new tag]                 ciflow/b200/169380          -> ciflow/b200/169380
2025-12-04T09:19:58.6909643Z  * [new tag]                 ciflow/b200/169412          -> ciflow/b200/169412
2025-12-04T09:19:58.6911153Z  * [new tag]                 ciflow/b200/169470          -> ciflow/b200/169470
2025-12-04T09:19:58.6912505Z  * [new tag]                 ciflow/b200/169471          -> ciflow/b200/169471
2025-12-04T09:19:58.6913845Z  * [new tag]                 ciflow/b200/169472          -> ciflow/b200/169472
2025-12-04T09:19:58.6915533Z  * [new tag]                 ciflow/b200/169514          -> ciflow/b200/169514
2025-12-04T09:19:58.6916480Z  * [new tag]                 ciflow/b200/169517          -> ciflow/b200/169517
2025-12-04T09:19:58.6918485Z  * [new tag]                 ciflow/binaries/165922      -> ciflow/binaries/165922
2025-12-04T09:19:58.6919940Z  * [new tag]                 ciflow/binaries/169510      -> ciflow/binaries/169510
2025-12-04T09:19:58.6922079Z  * [new tag]                 ciflow/binaries_wheel/157994 -> ciflow/binaries_wheel/157994
2025-12-04T09:19:58.6923371Z  * [new tag]                 ciflow/binaries_wheel/166829 -> ciflow/binaries_wheel/166829
2025-12-04T09:19:58.6924607Z  * [new tag]                 ciflow/binaries_wheel/167972 -> ciflow/binaries_wheel/167972
2025-12-04T09:19:58.6926396Z  * [new tag]                 ciflow/binaries_wheel/167981 -> ciflow/binaries_wheel/167981
2025-12-04T09:19:58.6927611Z  * [new tag]                 ciflow/dynamo/167695        -> ciflow/dynamo/167695
2025-12-04T09:19:58.6929144Z  * [new tag]                 ciflow/dynamo/168096        -> ciflow/dynamo/168096
2025-12-04T09:19:58.6930424Z  * [new tag]                 ciflow/dynamo/169525        -> ciflow/dynamo/169525
2025-12-04T09:19:58.6932685Z  * [new tag]                 ciflow/h100-cutlass-backend/161938 -> ciflow/h100-cutlass-backend/161938
2025-12-04T09:19:58.6933523Z  * [new tag]                 ciflow/h100-cutlass-backend/161940 -> ciflow/h100-cutlass-backend/161940
2025-12-04T09:19:58.6935537Z  * [new tag]                 ciflow/h100-distributed/168923 -> ciflow/h100-distributed/168923
2025-12-04T09:19:58.6937099Z  * [new tag]                 ciflow/h100-symm-mem/167552 -> ciflow/h100-symm-mem/167552
2025-12-04T09:19:58.6938087Z  * [new tag]                 ciflow/h100-symm-mem/168129 -> ciflow/h100-symm-mem/168129
2025-12-04T09:19:58.6939952Z  * [new tag]                 ciflow/h100-symm-mem/168917 -> ciflow/h100-symm-mem/168917
2025-12-04T09:19:58.6940828Z  * [new tag]                 ciflow/h100-symm-mem/169156 -> ciflow/h100-symm-mem/169156
2025-12-04T09:19:58.6942240Z  * [new tag]                 ciflow/h100-symm-mem/169200 -> ciflow/h100-symm-mem/169200
2025-12-04T09:19:58.6943517Z  * [new tag]                 ciflow/h100-symm-mem/169216 -> ciflow/h100-symm-mem/169216
2025-12-04T09:19:58.6944750Z  * [new tag]                 ciflow/h100-symm-mem/169338 -> ciflow/h100-symm-mem/169338
2025-12-04T09:19:58.6946475Z  * [new tag]                 ciflow/h100-symm-mem/169355 -> ciflow/h100-symm-mem/169355
2025-12-04T09:19:58.6947695Z  * [new tag]                 ciflow/h100-symm-mem/169543 -> ciflow/h100-symm-mem/169543
2025-12-04T09:19:58.6949199Z  * [new tag]                 ciflow/h100/115316          -> ciflow/h100/115316
2025-12-04T09:19:58.6951043Z  * [new tag]                 ciflow/h100/160685          -> ciflow/h100/160685
2025-12-04T09:19:58.6952099Z  * [new tag]                 ciflow/h100/160729          -> ciflow/h100/160729
2025-12-04T09:19:58.6953608Z  * [new tag]                 ciflow/h100/161607          -> ciflow/h100/161607
2025-12-04T09:19:58.6955086Z  * [new tag]                 ciflow/h100/161938          -> ciflow/h100/161938
2025-12-04T09:19:58.6956100Z  * [new tag]                 ciflow/h100/167207          -> ciflow/h100/167207
2025-12-04T09:19:58.6957533Z  * [new tag]                 ciflow/h100/167989          -> ciflow/h100/167989
2025-12-04T09:19:58.6958471Z  * [new tag]                 ciflow/h100/168096          -> ciflow/h100/168096
2025-12-04T09:19:58.6960118Z  * [new tag]                 ciflow/h100/168175          -> ciflow/h100/168175
2025-12-04T09:19:58.6961584Z  * [new tag]                 ciflow/h100/168195          -> ciflow/h100/168195
2025-12-04T09:19:58.6963175Z  * [new tag]                 ciflow/h100/168980          -> ciflow/h100/168980
2025-12-04T09:19:58.6964651Z  * [new tag]                 ciflow/h100/169200          -> ciflow/h100/169200
2025-12-04T09:19:58.6966361Z  * [new tag]                 ciflow/h100/169216          -> ciflow/h100/169216
2025-12-04T09:19:58.6968038Z  * [new tag]                 ciflow/h100/169380          -> ciflow/h100/169380
2025-12-04T09:19:58.6969000Z  * [new tag]                 ciflow/h100/169412          -> ciflow/h100/169412
2025-12-04T09:19:58.6970569Z  * [new tag]                 ciflow/h100/169470          -> ciflow/h100/169470
2025-12-04T09:19:58.6971920Z  * [new tag]                 ciflow/h100/169471          -> ciflow/h100/169471
2025-12-04T09:19:58.6973119Z  * [new tag]                 ciflow/h100/169472          -> ciflow/h100/169472
2025-12-04T09:19:58.6974699Z  * [new tag]                 ciflow/h100/169514          -> ciflow/h100/169514
2025-12-04T09:19:58.6976171Z  * [new tag]                 ciflow/inductor-cu126/168096 -> ciflow/inductor-cu126/168096
2025-12-04T09:19:58.6978129Z  * [new tag]                 ciflow/inductor-micro-benchmark-cpu-x86/168096 -> ciflow/inductor-micro-benchmark-cpu-x86/168096
2025-12-04T09:19:58.6979517Z  * [new tag]                 ciflow/inductor-micro-benchmark/166165 -> ciflow/inductor-micro-benchmark/166165
2025-12-04T09:19:58.6981170Z  * [new tag]                 ciflow/inductor-micro-benchmark/168096 -> ciflow/inductor-micro-benchmark/168096
2025-12-04T09:19:58.6983187Z  * [new tag]                 ciflow/inductor-perf-compare/168096 -> ciflow/inductor-perf-compare/168096
2025-12-04T09:19:58.6985376Z  * [new tag]                 ciflow/inductor-perf-test-nightly-rocm-mi300/168073 -> ciflow/inductor-perf-test-nightly-rocm-mi300/168073
2025-12-04T09:19:58.6986275Z  * [new tag]                 ciflow/inductor-perf-test-nightly-rocm-mi300/168096 -> ciflow/inductor-perf-test-nightly-rocm-mi300/168096
2025-12-04T09:19:58.6988171Z  * [new tag]                 ciflow/inductor-perf-test-nightly-rocm-mi300/169024 -> ciflow/inductor-perf-test-nightly-rocm-mi300/169024
2025-12-04T09:19:58.6989311Z  * [new tag]                 ciflow/inductor-perf-test-nightly-rocm-mi355/169024 -> ciflow/inductor-perf-test-nightly-rocm-mi355/169024
2025-12-04T09:19:58.6991474Z  * [new tag]                 ciflow/inductor-perf-test-nightly/168096 -> ciflow/inductor-perf-test-nightly/168096
2025-12-04T09:19:58.6993223Z  * [new tag]                 ciflow/inductor-periodic/168096 -> ciflow/inductor-periodic/168096
2025-12-04T09:19:58.6994042Z  * [new tag]                 ciflow/inductor-periodic/169024 -> ciflow/inductor-periodic/169024
2025-12-04T09:19:58.6995899Z  * [new tag]                 ciflow/inductor-periodic/169425 -> ciflow/inductor-periodic/169425
2025-12-04T09:19:58.6997442Z  * [new tag]                 ciflow/inductor-rocm-mi200/165545 -> ciflow/inductor-rocm-mi200/165545
2025-12-04T09:19:58.6998761Z  * [new tag]                 ciflow/inductor-rocm-mi200/165997 -> ciflow/inductor-rocm-mi200/165997
2025-12-04T09:19:58.6999813Z  * [new tag]                 ciflow/inductor-rocm-mi200/168096 -> ciflow/inductor-rocm-mi200/168096
2025-12-04T09:19:58.7001549Z  * [new tag]                 ciflow/inductor-rocm-mi200/169063 -> ciflow/inductor-rocm-mi200/169063
2025-12-04T09:19:58.7002614Z  * [new tag]                 ciflow/inductor-rocm-mi200/169425 -> ciflow/inductor-rocm-mi200/169425
2025-12-04T09:19:58.7004901Z  * [new tag]                 ciflow/inductor-rocm-mi300/165545 -> ciflow/inductor-rocm-mi300/165545
2025-12-04T09:19:58.7005727Z  * [new tag]                 ciflow/inductor-rocm-mi300/168096 -> ciflow/inductor-rocm-mi300/168096
2025-12-04T09:19:58.7007410Z  * [new tag]                 ciflow/inductor-rocm-mi300/169063 -> ciflow/inductor-rocm-mi300/169063
2025-12-04T09:19:58.7008233Z  * [new tag]                 ciflow/inductor-rocm-mi300/169425 -> ciflow/inductor-rocm-mi300/169425
2025-12-04T09:19:58.7010520Z  * [new tag]                 ciflow/inductor-rocm/162052 -> ciflow/inductor-rocm/162052
2025-12-04T09:19:58.7011702Z  * [new tag]                 ciflow/inductor-rocm/168971 -> ciflow/inductor-rocm/168971
2025-12-04T09:19:58.7013639Z  * [new tag]                 ciflow/inductor-windows/168096 -> ciflow/inductor-windows/168096
2025-12-04T09:19:58.7015170Z  * [new tag]                 ciflow/inductor/144542      -> ciflow/inductor/144542
2025-12-04T09:19:58.7016161Z  * [new tag]                 ciflow/inductor/146506      -> ciflow/inductor/146506
2025-12-04T09:19:58.7017703Z  * [new tag]                 ciflow/inductor/147990      -> ciflow/inductor/147990
2025-12-04T09:19:58.7019093Z  * [new tag]                 ciflow/inductor/148294      -> ciflow/inductor/148294
2025-12-04T09:19:58.7020598Z  * [new tag]                 ciflow/inductor/148492      -> ciflow/inductor/148492
2025-12-04T09:19:58.7022086Z  * [new tag]                 ciflow/inductor/157149      -> ciflow/inductor/157149
2025-12-04T09:19:58.7023187Z  * [new tag]                 ciflow/inductor/157994      -> ciflow/inductor/157994
2025-12-04T09:19:58.7024501Z  * [new tag]                 ciflow/inductor/160685      -> ciflow/inductor/160685
2025-12-04T09:19:58.7025896Z  * [new tag]                 ciflow/inductor/160686      -> ciflow/inductor/160686
2025-12-04T09:19:58.7027229Z  * [new tag]                 ciflow/inductor/160687      -> ciflow/inductor/160687
2025-12-04T09:19:58.7028494Z  * [new tag]                 ciflow/inductor/160688      -> ciflow/inductor/160688
2025-12-04T09:19:58.7030163Z  * [new tag]                 ciflow/inductor/160706      -> ciflow/inductor/160706
2025-12-04T09:19:58.7031886Z  * [new tag]                 ciflow/inductor/160729      -> ciflow/inductor/160729
2025-12-04T09:19:58.7033484Z  * [new tag]                 ciflow/inductor/161938      -> ciflow/inductor/161938
2025-12-04T09:19:58.7034851Z  * [new tag]                 ciflow/inductor/161939      -> ciflow/inductor/161939
2025-12-04T09:19:58.7036160Z  * [new tag]                 ciflow/inductor/161940      -> ciflow/inductor/161940
2025-12-04T09:19:58.7037484Z  * [new tag]                 ciflow/inductor/162052      -> ciflow/inductor/162052
2025-12-04T09:19:58.7038835Z  * [new tag]                 ciflow/inductor/162275      -> ciflow/inductor/162275
2025-12-04T09:19:58.7040337Z  * [new tag]                 ciflow/inductor/162795      -> ciflow/inductor/162795
2025-12-04T09:19:58.7042270Z  * [new tag]                 ciflow/inductor/163245      -> ciflow/inductor/163245
2025-12-04T09:19:58.7043675Z  * [new tag]                 ciflow/inductor/163335      -> ciflow/inductor/163335
2025-12-04T09:19:58.7045266Z  * [new tag]                 ciflow/inductor/163503      -> ciflow/inductor/163503
2025-12-04T09:19:58.7046640Z  * [new tag]                 ciflow/inductor/163942      -> ciflow/inductor/163942
2025-12-04T09:19:58.7048147Z  * [new tag]                 ciflow/inductor/165270      -> ciflow/inductor/165270
2025-12-04T09:19:58.7049563Z  * [new tag]                 ciflow/inductor/165274      -> ciflow/inductor/165274
2025-12-04T09:19:58.7051208Z  * [new tag]                 ciflow/inductor/165322      -> ciflow/inductor/165322
2025-12-04T09:19:58.7052592Z  * [new tag]                 ciflow/inductor/165597      -> ciflow/inductor/165597
2025-12-04T09:19:58.7053931Z  * [new tag]                 ciflow/inductor/166063      -> ciflow/inductor/166063
2025-12-04T09:19:58.7055262Z  * [new tag]                 ciflow/inductor/166075      -> ciflow/inductor/166075
2025-12-04T09:19:58.7056738Z  * [new tag]                 ciflow/inductor/166165      -> ciflow/inductor/166165
2025-12-04T09:19:58.7058210Z  * [new tag]                 ciflow/inductor/166254      -> ciflow/inductor/166254
2025-12-04T09:19:58.7059528Z  * [new tag]                 ciflow/inductor/166483      -> ciflow/inductor/166483
2025-12-04T09:19:58.7060938Z  * [new tag]                 ciflow/inductor/166494      -> ciflow/inductor/166494
2025-12-04T09:19:58.7062285Z  * [new tag]                 ciflow/inductor/166545      -> ciflow/inductor/166545
2025-12-04T09:19:58.7063635Z  * [new tag]                 ciflow/inductor/166788      -> ciflow/inductor/166788
2025-12-04T09:19:58.7065223Z  * [new tag]                 ciflow/inductor/166846      -> ciflow/inductor/166846
2025-12-04T09:19:58.7066838Z  * [new tag]                 ciflow/inductor/167300      -> ciflow/inductor/167300
2025-12-04T09:19:58.7068258Z  * [new tag]                 ciflow/inductor/167407      -> ciflow/inductor/167407
2025-12-04T09:19:58.7069780Z  * [new tag]                 ciflow/inductor/167536      -> ciflow/inductor/167536
2025-12-04T09:19:58.7071435Z  * [new tag]                 ciflow/inductor/167552      -> ciflow/inductor/167552
2025-12-04T09:19:58.7072924Z  * [new tag]                 ciflow/inductor/167555      -> ciflow/inductor/167555
2025-12-04T09:19:58.7074410Z  * [new tag]                 ciflow/inductor/167583      -> ciflow/inductor/167583
2025-12-04T09:19:58.7075680Z  * [new tag]                 ciflow/inductor/167599      -> ciflow/inductor/167599
2025-12-04T09:19:58.7077537Z  * [new tag]                 ciflow/inductor/167647      -> ciflow/inductor/167647
2025-12-04T09:19:58.7078928Z  * [new tag]                 ciflow/inductor/167677      -> ciflow/inductor/167677
2025-12-04T09:19:58.7080952Z  * [new tag]                 ciflow/inductor/167680      -> ciflow/inductor/167680
2025-12-04T09:19:58.7081930Z  * [new tag]                 ciflow/inductor/167695      -> ciflow/inductor/167695
2025-12-04T09:19:58.7083642Z  * [new tag]                 ciflow/inductor/167742      -> ciflow/inductor/167742
2025-12-04T09:19:58.7084634Z  * [new tag]                 ciflow/inductor/167768      -> ciflow/inductor/167768
2025-12-04T09:19:58.7086478Z  * [new tag]                 ciflow/inductor/167773      -> ciflow/inductor/167773
2025-12-04T09:19:58.7087860Z  * [new tag]                 ciflow/inductor/167781      -> ciflow/inductor/167781
2025-12-04T09:19:58.7088941Z  * [new tag]                 ciflow/inductor/167880      -> ciflow/inductor/167880
2025-12-04T09:19:58.7090740Z  * [new tag]                 ciflow/inductor/167887      -> ciflow/inductor/167887
2025-12-04T09:19:58.7091674Z  * [new tag]                 ciflow/inductor/167972      -> ciflow/inductor/167972
2025-12-04T09:19:58.7093329Z  * [new tag]                 ciflow/inductor/167989      -> ciflow/inductor/167989
2025-12-04T09:19:58.7094549Z  * [new tag]                 ciflow/inductor/168002      -> ciflow/inductor/168002
2025-12-04T09:19:58.7096217Z  * [new tag]                 ciflow/inductor/168050      -> ciflow/inductor/168050
2025-12-04T09:19:58.7097112Z  * [new tag]                 ciflow/inductor/168051      -> ciflow/inductor/168051
2025-12-04T09:19:58.7098815Z  * [new tag]                 ciflow/inductor/168052      -> ciflow/inductor/168052
2025-12-04T09:19:58.7100091Z  * [new tag]                 ciflow/inductor/168073      -> ciflow/inductor/168073
2025-12-04T09:19:58.7101494Z  * [new tag]                 ciflow/inductor/168096      -> ciflow/inductor/168096
2025-12-04T09:19:58.7102884Z  * [new tag]                 ciflow/inductor/168114      -> ciflow/inductor/168114
2025-12-04T09:19:58.7104615Z  * [new tag]                 ciflow/inductor/168115      -> ciflow/inductor/168115
2025-12-04T09:19:58.7105608Z  * [new tag]                 ciflow/inductor/168127      -> ciflow/inductor/168127
2025-12-04T09:19:58.7107307Z  * [new tag]                 ciflow/inductor/168129      -> ciflow/inductor/168129
2025-12-04T09:19:58.7108516Z  * [new tag]                 ciflow/inductor/168157      -> ciflow/inductor/168157
2025-12-04T09:19:58.7110171Z  * [new tag]                 ciflow/inductor/168175      -> ciflow/inductor/168175
2025-12-04T09:19:58.7111098Z  * [new tag]                 ciflow/inductor/168185      -> ciflow/inductor/168185
2025-12-04T09:19:58.7112833Z  * [new tag]                 ciflow/inductor/168195      -> ciflow/inductor/168195
2025-12-04T09:19:58.7114063Z  * [new tag]                 ciflow/inductor/168209      -> ciflow/inductor/168209
2025-12-04T09:19:58.7115538Z  * [new tag]                 ciflow/inductor/168266      -> ciflow/inductor/168266
2025-12-04T09:19:58.7116750Z  * [new tag]                 ciflow/inductor/168316      -> ciflow/inductor/168316
2025-12-04T09:19:58.7118520Z  * [new tag]                 ciflow/inductor/168326      -> ciflow/inductor/168326
2025-12-04T09:19:58.7119441Z  * [new tag]                 ciflow/inductor/168368      -> ciflow/inductor/168368
2025-12-04T09:19:58.7121114Z  * [new tag]                 ciflow/inductor/168894      -> ciflow/inductor/168894
2025-12-04T09:19:58.7122510Z  * [new tag]                 ciflow/inductor/168934      -> ciflow/inductor/168934
2025-12-04T09:19:58.7123708Z  * [new tag]                 ciflow/inductor/168939      -> ciflow/inductor/168939
2025-12-04T09:19:58.7125192Z  * [new tag]                 ciflow/inductor/168946      -> ciflow/inductor/168946
2025-12-04T09:19:58.7126397Z  * [new tag]                 ciflow/inductor/168950      -> ciflow/inductor/168950
2025-12-04T09:19:58.7127874Z  * [new tag]                 ciflow/inductor/168951      -> ciflow/inductor/168951
2025-12-04T09:19:58.7129394Z  * [new tag]                 ciflow/inductor/168952      -> ciflow/inductor/168952
2025-12-04T09:19:58.7130970Z  * [new tag]                 ciflow/inductor/168955      -> ciflow/inductor/168955
2025-12-04T09:19:58.7132544Z  * [new tag]                 ciflow/inductor/168971      -> ciflow/inductor/168971
2025-12-04T09:19:58.7133935Z  * [new tag]                 ciflow/inductor/168979      -> ciflow/inductor/168979
2025-12-04T09:19:58.7135295Z  * [new tag]                 ciflow/inductor/168980      -> ciflow/inductor/168980
2025-12-04T09:19:58.7136811Z  * [new tag]                 ciflow/inductor/168983      -> ciflow/inductor/168983
2025-12-04T09:19:58.7138283Z  * [new tag]                 ciflow/inductor/169006      -> ciflow/inductor/169006
2025-12-04T09:19:58.7139341Z  * [new tag]                 ciflow/inductor/169023      -> ciflow/inductor/169023
2025-12-04T09:19:58.7141310Z  * [new tag]                 ciflow/inductor/169024      -> ciflow/inductor/169024
2025-12-04T09:19:58.7142541Z  * [new tag]                 ciflow/inductor/169025      -> ciflow/inductor/169025
2025-12-04T09:19:58.7144059Z  * [new tag]                 ciflow/inductor/169066      -> ciflow/inductor/169066
2025-12-04T09:19:58.7145330Z  * [new tag]                 ciflow/inductor/169091      -> ciflow/inductor/169091
2025-12-04T09:19:58.7147007Z  * [new tag]                 ciflow/inductor/169102      -> ciflow/inductor/169102
2025-12-04T09:19:58.7148563Z  * [new tag]                 ciflow/inductor/169103      -> ciflow/inductor/169103
2025-12-04T09:19:58.7149296Z  * [new tag]                 ciflow/inductor/169121      -> ciflow/inductor/169121
2025-12-04T09:19:58.7151000Z  * [new tag]                 ciflow/inductor/169134      -> ciflow/inductor/169134
2025-12-04T09:19:58.7152355Z  * [new tag]                 ciflow/inductor/169135      -> ciflow/inductor/169135
2025-12-04T09:19:58.7153639Z  * [new tag]                 ciflow/inductor/169141      -> ciflow/inductor/169141
2025-12-04T09:19:58.7154989Z  * [new tag]                 ciflow/inductor/169151      -> ciflow/inductor/169151
2025-12-04T09:19:58.7156498Z  * [new tag]                 ciflow/inductor/169161      -> ciflow/inductor/169161
2025-12-04T09:19:58.7158000Z  * [new tag]                 ciflow/inductor/169167      -> ciflow/inductor/169167
2025-12-04T09:19:58.7159606Z  * [new tag]                 ciflow/inductor/169177      -> ciflow/inductor/169177
2025-12-04T09:19:58.7161578Z  * [new tag]                 ciflow/inductor/169185      -> ciflow/inductor/169185
2025-12-04T09:19:58.7162673Z  * [new tag]                 ciflow/inductor/169196      -> ciflow/inductor/169196
2025-12-04T09:19:58.7164326Z  * [new tag]                 ciflow/inductor/169200      -> ciflow/inductor/169200
2025-12-04T09:19:58.7165542Z  * [new tag]                 ciflow/inductor/169204      -> ciflow/inductor/169204
2025-12-04T09:19:58.7166970Z  * [new tag]                 ciflow/inductor/169216      -> ciflow/inductor/169216
2025-12-04T09:19:58.7168791Z  * [new tag]                 ciflow/inductor/169219      -> ciflow/inductor/169219
2025-12-04T09:19:58.7170190Z  * [new tag]                 ciflow/inductor/169220      -> ciflow/inductor/169220
2025-12-04T09:19:58.7172037Z  * [new tag]                 ciflow/inductor/169230      -> ciflow/inductor/169230
2025-12-04T09:19:58.7173365Z  * [new tag]                 ciflow/inductor/169242      -> ciflow/inductor/169242
2025-12-04T09:19:58.7174849Z  * [new tag]                 ciflow/inductor/169245      -> ciflow/inductor/169245
2025-12-04T09:19:58.7176097Z  * [new tag]                 ciflow/inductor/169260      -> ciflow/inductor/169260
2025-12-04T09:19:58.7177651Z  * [new tag]                 ciflow/inductor/169282      -> ciflow/inductor/169282
2025-12-04T09:19:58.7178590Z  * [new tag]                 ciflow/inductor/169286      -> ciflow/inductor/169286
2025-12-04T09:19:58.7180396Z  * [new tag]                 ciflow/inductor/169299      -> ciflow/inductor/169299
2025-12-04T09:19:58.7181719Z  * [new tag]                 ciflow/inductor/169304      -> ciflow/inductor/169304
2025-12-04T09:19:58.7183530Z  * [new tag]                 ciflow/inductor/169305      -> ciflow/inductor/169305
2025-12-04T09:19:58.7184753Z  * [new tag]                 ciflow/inductor/169308      -> ciflow/inductor/169308
2025-12-04T09:19:58.7186238Z  * [new tag]                 ciflow/inductor/169319      -> ciflow/inductor/169319
2025-12-04T09:19:58.7187566Z  * [new tag]                 ciflow/inductor/169326      -> ciflow/inductor/169326
2025-12-04T09:19:58.7189023Z  * [new tag]                 ciflow/inductor/169332      -> ciflow/inductor/169332
2025-12-04T09:19:58.7190414Z  * [new tag]                 ciflow/inductor/169333      -> ciflow/inductor/169333
2025-12-04T09:19:58.7192106Z  * [new tag]                 ciflow/inductor/169336      -> ciflow/inductor/169336
2025-12-04T09:19:58.7193481Z  * [new tag]                 ciflow/inductor/169340      -> ciflow/inductor/169340
2025-12-04T09:19:58.7194848Z  * [new tag]                 ciflow/inductor/169341      -> ciflow/inductor/169341
2025-12-04T09:19:58.7196188Z  * [new tag]                 ciflow/inductor/169343      -> ciflow/inductor/169343
2025-12-04T09:19:58.7197595Z  * [new tag]                 ciflow/inductor/169346      -> ciflow/inductor/169346
2025-12-04T09:19:58.7199052Z  * [new tag]                 ciflow/inductor/169348      -> ciflow/inductor/169348
2025-12-04T09:19:58.7200565Z  * [new tag]                 ciflow/inductor/169350      -> ciflow/inductor/169350
2025-12-04T09:19:58.7201918Z  * [new tag]                 ciflow/inductor/169355      -> ciflow/inductor/169355
2025-12-04T09:19:58.7205336Z  * [new tag]                 ciflow/inductor/169370      -> ciflow/inductor/169370
2025-12-04T09:19:58.7207458Z  * [new tag]                 ciflow/inductor/169375      -> ciflow/inductor/169375
2025-12-04T09:19:58.7208767Z  * [new tag]                 ciflow/inductor/169389      -> ciflow/inductor/169389
2025-12-04T09:19:58.7210081Z  * [new tag]                 ciflow/inductor/169391      -> ciflow/inductor/169391
2025-12-04T09:19:58.7211419Z  * [new tag]                 ciflow/inductor/169393      -> ciflow/inductor/169393
2025-12-04T09:19:58.7212748Z  * [new tag]                 ciflow/inductor/169399      -> ciflow/inductor/169399
2025-12-04T09:19:58.7214240Z  * [new tag]                 ciflow/inductor/169400      -> ciflow/inductor/169400
2025-12-04T09:19:58.7215576Z  * [new tag]                 ciflow/inductor/169415      -> ciflow/inductor/169415
2025-12-04T09:19:58.7217096Z  * [new tag]                 ciflow/inductor/169417      -> ciflow/inductor/169417
2025-12-04T09:19:58.7218306Z  * [new tag]                 ciflow/inductor/169418      -> ciflow/inductor/169418
2025-12-04T09:19:58.7219973Z  * [new tag]                 ciflow/inductor/169430      -> ciflow/inductor/169430
2025-12-04T09:19:58.7221298Z  * [new tag]                 ciflow/inductor/169432      -> ciflow/inductor/169432
2025-12-04T09:19:58.7222638Z  * [new tag]                 ciflow/inductor/169436      -> ciflow/inductor/169436
2025-12-04T09:19:58.7224037Z  * [new tag]                 ciflow/inductor/169437      -> ciflow/inductor/169437
2025-12-04T09:19:58.7225448Z  * [new tag]                 ciflow/inductor/169438      -> ciflow/inductor/169438
2025-12-04T09:19:58.7226956Z  * [new tag]                 ciflow/inductor/169441      -> ciflow/inductor/169441
2025-12-04T09:19:58.7228225Z  * [new tag]                 ciflow/inductor/169446      -> ciflow/inductor/169446
2025-12-04T09:19:58.7229770Z  * [new tag]                 ciflow/inductor/169447      -> ciflow/inductor/169447
2025-12-04T09:19:58.7231398Z  * [new tag]                 ciflow/inductor/169452      -> ciflow/inductor/169452
2025-12-04T09:19:58.7232975Z  * [new tag]                 ciflow/inductor/169455      -> ciflow/inductor/169455
2025-12-04T09:19:58.7234360Z  * [new tag]                 ciflow/inductor/169459      -> ciflow/inductor/169459
2025-12-04T09:19:58.7235752Z  * [new tag]                 ciflow/inductor/169463      -> ciflow/inductor/169463
2025-12-04T09:19:58.7237433Z  * [new tag]                 ciflow/inductor/169476      -> ciflow/inductor/169476
2025-12-04T09:19:58.7238647Z  * [new tag]                 ciflow/inductor/169485      -> ciflow/inductor/169485
2025-12-04T09:19:58.7239935Z  * [new tag]                 ciflow/inductor/169493      -> ciflow/inductor/169493
2025-12-04T09:19:58.7241253Z  * [new tag]                 ciflow/inductor/169496      -> ciflow/inductor/169496
2025-12-04T09:19:58.7242610Z  * [new tag]                 ciflow/inductor/169497      -> ciflow/inductor/169497
2025-12-04T09:19:58.7243925Z  * [new tag]                 ciflow/inductor/169503      -> ciflow/inductor/169503
2025-12-04T09:19:58.7245256Z  * [new tag]                 ciflow/inductor/169504      -> ciflow/inductor/169504
2025-12-04T09:19:58.7246832Z  * [new tag]                 ciflow/inductor/169505      -> ciflow/inductor/169505
2025-12-04T09:19:58.7248588Z  * [new tag]                 ciflow/inductor/169508      -> ciflow/inductor/169508
2025-12-04T09:19:58.7249946Z  * [new tag]                 ciflow/inductor/169509      -> ciflow/inductor/169509
2025-12-04T09:19:58.7251407Z  * [new tag]                 ciflow/inductor/169513      -> ciflow/inductor/169513
2025-12-04T09:19:58.7252874Z  * [new tag]                 ciflow/inductor/169514      -> ciflow/inductor/169514
2025-12-04T09:19:58.7254201Z  * [new tag]                 ciflow/inductor/169515      -> ciflow/inductor/169515
2025-12-04T09:19:58.7255552Z  * [new tag]                 ciflow/inductor/169517      -> ciflow/inductor/169517
2025-12-04T09:19:58.7256857Z  * [new tag]                 ciflow/inductor/169519      -> ciflow/inductor/169519
2025-12-04T09:19:58.7258221Z  * [new tag]                 ciflow/inductor/169520      -> ciflow/inductor/169520
2025-12-04T09:19:58.7259572Z  * [new tag]                 ciflow/inductor/169521      -> ciflow/inductor/169521
2025-12-04T09:19:58.7260884Z  * [new tag]                 ciflow/inductor/169524      -> ciflow/inductor/169524
2025-12-04T09:19:58.7262811Z  * [new tag]                 ciflow/inductor/169527      -> ciflow/inductor/169527
2025-12-04T09:19:58.7264182Z  * [new tag]                 ciflow/inductor/169528      -> ciflow/inductor/169528
2025-12-04T09:19:58.7265758Z  * [new tag]                 ciflow/inductor/169532      -> ciflow/inductor/169532
2025-12-04T09:19:58.7267139Z  * [new tag]                 ciflow/inductor/169535      -> ciflow/inductor/169535
2025-12-04T09:19:58.7268486Z  * [new tag]                 ciflow/inductor/169536      -> ciflow/inductor/169536
2025-12-04T09:19:58.7269913Z  * [new tag]                 ciflow/inductor/169547      -> ciflow/inductor/169547
2025-12-04T09:19:58.7271147Z  * [new tag]                 ciflow/inductor/169548      -> ciflow/inductor/169548
2025-12-04T09:19:58.7272509Z  * [new tag]                 ciflow/inductor/169549      -> ciflow/inductor/169549
2025-12-04T09:19:58.7273820Z  * [new tag]                 ciflow/inductor/169551      -> ciflow/inductor/169551
2025-12-04T09:19:58.7275145Z  * [new tag]                 ciflow/inductor/169552      -> ciflow/inductor/169552
2025-12-04T09:19:58.7276483Z  * [new tag]                 ciflow/inductor/169553      -> ciflow/inductor/169553
2025-12-04T09:19:58.7277848Z  * [new tag]                 ciflow/inductor/169557      -> ciflow/inductor/169557
2025-12-04T09:19:58.7279506Z  * [new tag]                 ciflow/inductor/3b9a386     -> ciflow/inductor/3b9a386
2025-12-04T09:19:58.7281464Z  * [new tag]                 ciflow/inductor/3d4b92b     -> ciflow/inductor/3d4b92b
2025-12-04T09:19:58.7283072Z  * [new tag]                 ciflow/inductor/d224ac7     -> ciflow/inductor/d224ac7
2025-12-04T09:19:58.7284666Z  * [new tag]                 ciflow/linux-aarch64/157994 -> ciflow/linux-aarch64/157994
2025-12-04T09:19:58.7285920Z  * [new tag]                 ciflow/linux-aarch64/166075 -> ciflow/linux-aarch64/166075
2025-12-04T09:19:58.7287186Z  * [new tag]                 ciflow/linux-aarch64/166876 -> ciflow/linux-aarch64/166876
2025-12-04T09:19:58.7288386Z  * [new tag]                 ciflow/linux-aarch64/167981 -> ciflow/linux-aarch64/167981
2025-12-04T09:19:58.7290117Z  * [new tag]                 ciflow/mps/166254           -> ciflow/mps/166254
2025-12-04T09:19:58.7291599Z  * [new tag]                 ciflow/mps/169017           -> ciflow/mps/169017
2025-12-04T09:19:58.7293002Z  * [new tag]                 ciflow/mps/169372           -> ciflow/mps/169372
2025-12-04T09:19:58.7294219Z  * [new tag]                 ciflow/mps/169478           -> ciflow/mps/169478
2025-12-04T09:19:58.7295921Z  * [new tag]                 ciflow/op-benchmark/157994  -> ciflow/op-benchmark/157994
2025-12-04T09:19:58.7297170Z  * [new tag]                 ciflow/op-benchmark/166075  -> ciflow/op-benchmark/166075
2025-12-04T09:19:58.7298394Z  * [new tag]                 ciflow/op-benchmark/169544  -> ciflow/op-benchmark/169544
2025-12-04T09:19:58.7300037Z  * [new tag]                 ciflow/periodic-rocm-mi200/165997 -> ciflow/periodic-rocm-mi200/165997
2025-12-04T09:19:58.7301383Z  * [new tag]                 ciflow/periodic-rocm-mi200/166517 -> ciflow/periodic-rocm-mi200/166517
2025-12-04T09:19:58.7302729Z  * [new tag]                 ciflow/periodic-rocm-mi200/169063 -> ciflow/periodic-rocm-mi200/169063
2025-12-04T09:19:58.7304297Z  * [new tag]                 ciflow/periodic-rocm-mi200/169425 -> ciflow/periodic-rocm-mi200/169425
2025-12-04T09:19:58.7305928Z  * [new tag]                 ciflow/periodic-rocm-mi300/166517 -> ciflow/periodic-rocm-mi300/166517
2025-12-04T09:19:58.7307197Z  * [new tag]                 ciflow/periodic-rocm-mi300/169063 -> ciflow/periodic-rocm-mi300/169063
2025-12-04T09:19:58.7308340Z  * [new tag]                 ciflow/periodic-rocm-mi300/169425 -> ciflow/periodic-rocm-mi300/169425
2025-12-04T09:19:58.7310939Z  * [new tag]                 ciflow/periodic/054a2fd     -> ciflow/periodic/054a2fd
2025-12-04T09:19:58.7312415Z  * [new tag]                 ciflow/periodic/167207      -> ciflow/periodic/167207
2025-12-04T09:19:58.7313826Z  * [new tag]                 ciflow/periodic/167978      -> ciflow/periodic/167978
2025-12-04T09:19:58.7315034Z  * [new tag]                 ciflow/periodic/168096      -> ciflow/periodic/168096
2025-12-04T09:19:58.7316271Z  * [new tag]                 ciflow/periodic/169286      -> ciflow/periodic/169286
2025-12-04T09:19:58.7317718Z  * [new tag]                 ciflow/periodic/2a6d37d     -> ciflow/periodic/2a6d37d
2025-12-04T09:19:58.7319129Z  * [new tag]                 ciflow/periodic/317eeb8     -> ciflow/periodic/317eeb8
2025-12-04T09:19:58.7321017Z  * [new tag]                 ciflow/periodic/3c32        -> ciflow/periodic/3c32
2025-12-04T09:19:58.7322463Z  * [new tag]                 ciflow/periodic/3e98831     -> ciflow/periodic/3e98831
2025-12-04T09:19:58.7324534Z  * [new tag]                 ciflow/periodic/7c648509a7470ace9fb2bae960dd4790f7e943e9 -> ciflow/periodic/7c648509a7470ace9fb2bae960dd4790f7e943e9
2025-12-04T09:19:58.7326046Z  * [new tag]                 ciflow/periodic/94512-point -> ciflow/periodic/94512-point
2025-12-04T09:19:58.7327918Z  * [new tag]                 ciflow/periodic/csl/test87519 -> ciflow/periodic/csl/test87519
2025-12-04T09:19:58.7329446Z  * [new tag]                 ciflow/periodic/csltest88275 -> ciflow/periodic/csltest88275
2025-12-04T09:19:58.7330925Z  * [new tag]                 ciflow/periodic/csltest88761 -> ciflow/periodic/csltest88761
2025-12-04T09:19:58.7332454Z  * [new tag]                 ciflow/periodic/release_1.12 -> ciflow/periodic/release_1.12
2025-12-04T09:19:58.7334200Z  * [new tag]                 ciflow/periodic/release_1.12.0 -> ciflow/periodic/release_1.12.0
2025-12-04T09:19:58.7335833Z  * [new tag]                 ciflow/periodic/sha-ec5b83  -> ciflow/periodic/sha-ec5b83
2025-12-04T09:19:58.7337407Z  * [new tag]                 ciflow/pull/167207          -> ciflow/pull/167207
2025-12-04T09:19:58.7339177Z  * [new tag]                 ciflow/quantization-periodic/169207 -> ciflow/quantization-periodic/169207
2025-12-04T09:19:58.7340819Z  * [new tag]                 ciflow/rocm-mi200/165545    -> ciflow/rocm-mi200/165545
2025-12-04T09:19:58.7342313Z  * [new tag]                 ciflow/rocm-mi200/165997    -> ciflow/rocm-mi200/165997
2025-12-04T09:19:58.7343646Z  * [new tag]                 ciflow/rocm-mi200/168096    -> ciflow/rocm-mi200/168096
2025-12-04T09:19:58.7344997Z  * [new tag]                 ciflow/rocm-mi200/168275    -> ciflow/rocm-mi200/168275
2025-12-04T09:19:58.7346328Z  * [new tag]                 ciflow/rocm-mi200/169063    -> ciflow/rocm-mi200/169063
2025-12-04T09:19:58.7347728Z  * [new tag]                 ciflow/rocm-mi200/169356    -> ciflow/rocm-mi200/169356
2025-12-04T09:19:58.7348959Z  * [new tag]                 ciflow/rocm-mi200/169425    -> ciflow/rocm-mi200/169425
2025-12-04T09:19:58.7350752Z  * [new tag]                 ciflow/rocm-mi300/165545    -> ciflow/rocm-mi300/165545
2025-12-04T09:19:58.7352433Z  * [new tag]                 ciflow/rocm-mi300/167157    -> ciflow/rocm-mi300/167157
2025-12-04T09:19:58.7353668Z  * [new tag]                 ciflow/rocm-mi300/168096    -> ciflow/rocm-mi300/168096
2025-12-04T09:19:58.7354902Z  * [new tag]                 ciflow/rocm-mi300/169063    -> ciflow/rocm-mi300/169063
2025-12-04T09:19:58.7356140Z  * [new tag]                 ciflow/rocm-mi300/169425    -> ciflow/rocm-mi300/169425
2025-12-04T09:19:58.7357653Z  * [new tag]                 ciflow/rocm-mi355/167157    -> ciflow/rocm-mi355/167157
2025-12-04T09:19:58.7358963Z  * [new tag]                 ciflow/rocm-mi355/168275    -> ciflow/rocm-mi355/168275
2025-12-04T09:19:58.7360197Z  * [new tag]                 ciflow/rocm-mi355/169425    -> ciflow/rocm-mi355/169425
2025-12-04T09:19:58.7361720Z  * [new tag]                 ciflow/rocm-navi31/168275   -> ciflow/rocm-navi31/168275
2025-12-04T09:19:58.7363002Z  * [new tag]                 ciflow/rocm-navi31/169425   -> ciflow/rocm-navi31/169425
2025-12-04T09:19:58.7364491Z  * [new tag]                 ciflow/rocm/115316          -> ciflow/rocm/115316
2025-12-04T09:19:58.7365761Z  * [new tag]                 ciflow/rocm/148492          -> ciflow/rocm/148492
2025-12-04T09:19:58.7367011Z  * [new tag]                 ciflow/rocm/160685          -> ciflow/rocm/160685
2025-12-04T09:19:58.7368228Z  * [new tag]                 ciflow/rocm/161607          -> ciflow/rocm/161607
2025-12-04T09:19:58.7369478Z  * [new tag]                 ciflow/rocm/162052          -> ciflow/rocm/162052
2025-12-04T09:19:58.7371462Z  * [new tag]                 ciflow/rocm/165997          -> ciflow/rocm/165997
2025-12-04T09:19:58.7372585Z  * [new tag]                 ciflow/rocm/166165          -> ciflow/rocm/166165
2025-12-04T09:19:58.7373806Z  * [new tag]                 ciflow/rocm/166517          -> ciflow/rocm/166517
2025-12-04T09:19:58.7375014Z  * [new tag]                 ciflow/rocm/167207          -> ciflow/rocm/167207
2025-12-04T09:19:58.7376465Z  * [new tag]                 ciflow/rocm/167536          -> ciflow/rocm/167536
2025-12-04T09:19:58.7378127Z  * [new tag]                 ciflow/rocm/167781          -> ciflow/rocm/167781
2025-12-04T09:19:58.7379788Z  * [new tag]                 ciflow/rocm/167989          -> ciflow/rocm/167989
2025-12-04T09:19:58.7381774Z  * [new tag]                 ciflow/rocm/168073          -> ciflow/rocm/168073
2025-12-04T09:19:58.7383331Z  * [new tag]                 ciflow/rocm/168195          -> ciflow/rocm/168195
2025-12-04T09:19:58.7384666Z  * [new tag]                 ciflow/rocm/168939          -> ciflow/rocm/168939
2025-12-04T09:19:58.7386011Z  * [new tag]                 ciflow/rocm/168971          -> ciflow/rocm/168971
2025-12-04T09:19:58.7387422Z  * [new tag]                 ciflow/rocm/169024          -> ciflow/rocm/169024
2025-12-04T09:19:58.7388631Z  * [new tag]                 ciflow/rocm/169200          -> ciflow/rocm/169200
2025-12-04T09:19:58.7390116Z  * [new tag]                 ciflow/rocm/169216          -> ciflow/rocm/169216
2025-12-04T09:19:58.7391049Z  * [new tag]                 ciflow/rocm/169312          -> ciflow/rocm/169312
2025-12-04T09:19:58.7392623Z  * [new tag]                 ciflow/rocm/169380          -> ciflow/rocm/169380
2025-12-04T09:19:58.7393819Z  * [new tag]                 ciflow/rocm/169427          -> ciflow/rocm/169427
2025-12-04T09:19:58.7395365Z  * [new tag]                 ciflow/rocm/169455          -> ciflow/rocm/169455
2025-12-04T09:19:58.7396293Z  * [new tag]                 ciflow/rocm/169470          -> ciflow/rocm/169470
2025-12-04T09:19:58.7398004Z  * [new tag]                 ciflow/rocm/169471          -> ciflow/rocm/169471
2025-12-04T09:19:58.7398917Z  * [new tag]                 ciflow/rocm/169472          -> ciflow/rocm/169472
2025-12-04T09:19:58.7400738Z  * [new tag]                 ciflow/rocm/169514          -> ciflow/rocm/169514
2025-12-04T09:19:58.7402650Z  * [new tag]                 ciflow/slow/01c7106         -> ciflow/slow/01c7106
2025-12-04T09:19:58.7404395Z  * [new tag]                 ciflow/slow/0577043         -> ciflow/slow/0577043
2025-12-04T09:19:58.7406333Z  * [new tag]                 ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym -> ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym
2025-12-04T09:19:58.7407096Z  * [new tag]                 ciflow/slow/0e81104         -> ciflow/slow/0e81104
2025-12-04T09:19:58.7408600Z  * [new tag]                 ciflow/slow/167207          -> ciflow/slow/167207
2025-12-04T09:19:58.7409625Z  * [new tag]                 ciflow/slow/168050          -> ciflow/slow/168050
2025-12-04T09:19:58.7411724Z  * [new tag]                 ciflow/slow/1732077         -> ciflow/slow/1732077
2025-12-04T09:19:58.7413245Z  * [new tag]                 ciflow/slow/187eb7c         -> ciflow/slow/187eb7c
2025-12-04T09:19:58.7415087Z  * [new tag]                 ciflow/slow/1faef89         -> ciflow/slow/1faef89
2025-12-04T09:19:58.7417000Z  * [new tag]                 ciflow/slow/3920ec1         -> ciflow/slow/3920ec1
2025-12-04T09:19:58.7418644Z  * [new tag]                 ciflow/slow/3b7c6b2         -> ciflow/slow/3b7c6b2
2025-12-04T09:19:58.7420119Z  * [new tag]                 ciflow/slow/59a3759         -> ciflow/slow/59a3759
2025-12-04T09:19:58.7421630Z  * [new tag]                 ciflow/slow/70ef0bb         -> ciflow/slow/70ef0bb
2025-12-04T09:19:58.7423149Z  * [new tag]                 ciflow/slow/788ff06         -> ciflow/slow/788ff06
2025-12-04T09:19:58.7425077Z  * [new tag]                 ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym -> ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym
2025-12-04T09:19:58.7426091Z  * [new tag]                 ciflow/slow/9d85864         -> ciflow/slow/9d85864
2025-12-04T09:19:58.7428146Z  * [new tag]                 ciflow/slow/9ffad5b         -> ciflow/slow/9ffad5b
2025-12-04T09:19:58.7429088Z  * [new tag]                 ciflow/slow/a206e8b         -> ciflow/slow/a206e8b
2025-12-04T09:19:58.7431112Z  * [new tag]                 ciflow/slow/a837609         -> ciflow/slow/a837609
2025-12-04T09:19:58.7432970Z  * [new tag]                 ciflow/slow/af841f3         -> ciflow/slow/af841f3
2025-12-04T09:19:58.7434898Z  * [new tag]                 ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym -> ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym
2025-12-04T09:19:58.7436719Z  * [new tag]                 ciflow/torchbench/168175    -> ciflow/torchbench/168175
2025-12-04T09:19:58.7437989Z  * [new tag]                 ciflow/trunk/148492         -> ciflow/trunk/148492
2025-12-04T09:19:58.7439525Z  * [new tag]                 ciflow/trunk/157149         -> ciflow/trunk/157149
2025-12-04T09:19:58.7440572Z  * [new tag]                 ciflow/trunk/157994         -> ciflow/trunk/157994
2025-12-04T09:19:58.7442262Z  * [new tag]                 ciflow/trunk/159718         -> ciflow/trunk/159718
2025-12-04T09:19:58.7443183Z  * [new tag]                 ciflow/trunk/160685         -> ciflow/trunk/160685
2025-12-04T09:19:58.7444677Z  * [new tag]                 ciflow/trunk/160729         -> ciflow/trunk/160729
2025-12-04T09:19:58.7445638Z  * [new tag]                 ciflow/trunk/162275         -> ciflow/trunk/162275
2025-12-04T09:19:58.7447140Z  * [new tag]                 ciflow/trunk/162795         -> ciflow/trunk/162795
2025-12-04T09:19:58.7448116Z  * [new tag]                 ciflow/trunk/163245         -> ciflow/trunk/163245
2025-12-04T09:19:58.7449598Z  * [new tag]                 ciflow/trunk/163942         -> ciflow/trunk/163942
2025-12-04T09:19:58.7450578Z  * [new tag]                 ciflow/trunk/165274         -> ciflow/trunk/165274
2025-12-04T09:19:58.7460385Z  * [new tag]                 ciflow/trunk/165483         -> ciflow/trunk/165483
2025-12-04T09:19:58.7460745Z  * [new tag]                 ciflow/trunk/165728         -> ciflow/trunk/165728
2025-12-04T09:19:58.7460957Z  * [new tag]                 ciflow/trunk/165922         -> ciflow/trunk/165922
2025-12-04T09:19:58.7461147Z  * [new tag]                 ciflow/trunk/166075         -> ciflow/trunk/166075
2025-12-04T09:19:58.7461497Z  * [new tag]                 ciflow/trunk/166165         -> ciflow/trunk/166165
2025-12-04T09:19:58.7461686Z  * [new tag]                 ciflow/trunk/166829         -> ciflow/trunk/166829
2025-12-04T09:19:58.7461884Z  * [new tag]                 ciflow/trunk/166843         -> ciflow/trunk/166843
2025-12-04T09:19:58.7463396Z  * [new tag]                 ciflow/trunk/166876         -> ciflow/trunk/166876
2025-12-04T09:19:58.7464321Z  * [new tag]                 ciflow/trunk/167207         -> ciflow/trunk/167207
2025-12-04T09:19:58.7465908Z  * [new tag]                 ciflow/trunk/167536         -> ciflow/trunk/167536
2025-12-04T09:19:58.7467351Z  * [new tag]                 ciflow/trunk/167552         -> ciflow/trunk/167552
2025-12-04T09:19:58.7468692Z  * [new tag]                 ciflow/trunk/167555         -> ciflow/trunk/167555
2025-12-04T09:19:58.7470158Z  * [new tag]                 ciflow/trunk/167599         -> ciflow/trunk/167599
2025-12-04T09:19:58.7471782Z  * [new tag]                 ciflow/trunk/167659         -> ciflow/trunk/167659
2025-12-04T09:19:58.7473214Z  * [new tag]                 ciflow/trunk/167672         -> ciflow/trunk/167672
2025-12-04T09:19:58.7474521Z  * [new tag]                 ciflow/trunk/167742         -> ciflow/trunk/167742
2025-12-04T09:19:58.7475857Z  * [new tag]                 ciflow/trunk/167781         -> ciflow/trunk/167781
2025-12-04T09:19:58.7477328Z  * [new tag]                 ciflow/trunk/167837         -> ciflow/trunk/167837
2025-12-04T09:19:58.7478654Z  * [new tag]                 ciflow/trunk/167887         -> ciflow/trunk/167887
2025-12-04T09:19:58.7479936Z  * [new tag]                 ciflow/trunk/167978         -> ciflow/trunk/167978
2025-12-04T09:19:58.7481375Z  * [new tag]                 ciflow/trunk/168050         -> ciflow/trunk/168050
2025-12-04T09:19:58.7482306Z  * [new tag]                 ciflow/trunk/168051         -> ciflow/trunk/168051
2025-12-04T09:19:58.7483855Z  * [new tag]                 ciflow/trunk/168096         -> ciflow/trunk/168096
2025-12-04T09:19:58.7485155Z  * [new tag]                 ciflow/trunk/168127         -> ciflow/trunk/168127
2025-12-04T09:19:58.7486463Z  * [new tag]                 ciflow/trunk/168157         -> ciflow/trunk/168157
2025-12-04T09:19:58.7487800Z  * [new tag]                 ciflow/trunk/168175         -> ciflow/trunk/168175
2025-12-04T09:19:58.7489112Z  * [new tag]                 ciflow/trunk/168209         -> ciflow/trunk/168209
2025-12-04T09:19:58.7490815Z  * [new tag]                 ciflow/trunk/168213         -> ciflow/trunk/168213
2025-12-04T09:19:58.7492714Z  * [new tag]                 ciflow/trunk/168226         -> ciflow/trunk/168226
2025-12-04T09:19:58.7493586Z  * [new tag]                 ciflow/trunk/168262         -> ciflow/trunk/168262
2025-12-04T09:19:58.7495117Z  * [new tag]                 ciflow/trunk/168275         -> ciflow/trunk/168275
2025-12-04T09:19:58.7496587Z  * [new tag]                 ciflow/trunk/168328         -> ciflow/trunk/168328
2025-12-04T09:19:58.7497912Z  * [new tag]                 ciflow/trunk/168368         -> ciflow/trunk/168368
2025-12-04T09:19:58.7499218Z  * [new tag]                 ciflow/trunk/168917         -> ciflow/trunk/168917
2025-12-04T09:19:58.7500726Z  * [new tag]                 ciflow/trunk/168933         -> ciflow/trunk/168933
2025-12-04T09:19:58.7502866Z  * [new tag]                 ciflow/trunk/168941         -> ciflow/trunk/168941
2025-12-04T09:19:58.7504537Z  * [new tag]                 ciflow/trunk/168955         -> ciflow/trunk/168955
2025-12-04T09:19:58.7505962Z  * [new tag]                 ciflow/trunk/168980         -> ciflow/trunk/168980
2025-12-04T09:19:58.7507561Z  * [new tag]                 ciflow/trunk/169004         -> ciflow/trunk/169004
2025-12-04T09:19:58.7508962Z  * [new tag]                 ciflow/trunk/169006         -> ciflow/trunk/169006
2025-12-04T09:19:58.7510317Z  * [new tag]                 ciflow/trunk/169023         -> ciflow/trunk/169023
2025-12-04T09:19:58.7511627Z  * [new tag]                 ciflow/trunk/169025         -> ciflow/trunk/169025
2025-12-04T09:19:58.7512714Z  * [new tag]                 ciflow/trunk/169048         -> ciflow/trunk/169048
2025-12-04T09:19:58.7514235Z  * [new tag]                 ciflow/trunk/169066         -> ciflow/trunk/169066
2025-12-04T09:19:58.7515585Z  * [new tag]                 ciflow/trunk/169091         -> ciflow/trunk/169091
2025-12-04T09:19:58.7516879Z  * [new tag]                 ciflow/trunk/169102         -> ciflow/trunk/169102
2025-12-04T09:19:58.7518229Z  * [new tag]                 ciflow/trunk/169103         -> ciflow/trunk/169103
2025-12-04T09:19:58.7519778Z  * [new tag]                 ciflow/trunk/169125         -> ciflow/trunk/169125
2025-12-04T09:19:58.7521473Z  * [new tag]                 ciflow/trunk/169139         -> ciflow/trunk/169139
2025-12-04T09:19:58.7523065Z  * [new tag]                 ciflow/trunk/169148         -> ciflow/trunk/169148
2025-12-04T09:19:58.7524355Z  * [new tag]                 ciflow/trunk/169151         -> ciflow/trunk/169151
2025-12-04T09:19:58.7525739Z  * [new tag]                 ciflow/trunk/169156         -> ciflow/trunk/169156
2025-12-04T09:19:58.7527210Z  * [new tag]                 ciflow/trunk/169176         -> ciflow/trunk/169176
2025-12-04T09:19:58.7528544Z  * [new tag]                 ciflow/trunk/169204         -> ciflow/trunk/169204
2025-12-04T09:19:58.7530122Z  * [new tag]                 ciflow/trunk/169207         -> ciflow/trunk/169207
2025-12-04T09:19:58.7531365Z  * [new tag]                 ciflow/trunk/169211         -> ciflow/trunk/169211
2025-12-04T09:19:58.7533203Z  * [new tag]                 ciflow/trunk/169231         -> ciflow/trunk/169231
2025-12-04T09:19:58.7534710Z  * [new tag]                 ciflow/trunk/169260         -> ciflow/trunk/169260
2025-12-04T09:19:58.7536164Z  * [new tag]                 ciflow/trunk/169271         -> ciflow/trunk/169271
2025-12-04T09:19:58.7537433Z  * [new tag]                 ciflow/trunk/169280         -> ciflow/trunk/169280
2025-12-04T09:19:58.7538765Z  * [new tag]                 ciflow/trunk/169281         -> ciflow/trunk/169281
2025-12-04T09:19:58.7540081Z  * [new tag]                 ciflow/trunk/169286         -> ciflow/trunk/169286
2025-12-04T09:19:58.7541561Z  * [new tag]                 ciflow/trunk/169293         -> ciflow/trunk/169293
2025-12-04T09:19:58.7542874Z  * [new tag]                 ciflow/trunk/169296         -> ciflow/trunk/169296
2025-12-04T09:19:58.7544210Z  * [new tag]                 ciflow/trunk/169304         -> ciflow/trunk/169304
2025-12-04T09:19:58.7545617Z  * [new tag]                 ciflow/trunk/169305         -> ciflow/trunk/169305
2025-12-04T09:19:58.7546978Z  * [new tag]                 ciflow/trunk/169312         -> ciflow/trunk/169312
2025-12-04T09:19:58.7548652Z  * [new tag]                 ciflow/trunk/169328         -> ciflow/trunk/169328
2025-12-04T09:19:58.7550208Z  * [new tag]                 ciflow/trunk/169343         -> ciflow/trunk/169343
2025-12-04T09:19:58.7551138Z  * [new tag]                 ciflow/trunk/169355         -> ciflow/trunk/169355
2025-12-04T09:19:58.7552654Z  * [new tag]                 ciflow/trunk/169370         -> ciflow/trunk/169370
2025-12-04T09:19:58.7554140Z  * [new tag]                 ciflow/trunk/169379         -> ciflow/trunk/169379
2025-12-04T09:19:58.7555467Z  * [new tag]                 ciflow/trunk/169380         -> ciflow/trunk/169380
2025-12-04T09:19:58.7556850Z  * [new tag]                 ciflow/trunk/169385         -> ciflow/trunk/169385
2025-12-04T09:19:58.7558198Z  * [new tag]                 ciflow/trunk/169387         -> ciflow/trunk/169387
2025-12-04T09:19:58.7559744Z  * [new tag]                 ciflow/trunk/169410         -> ciflow/trunk/169410
2025-12-04T09:19:58.7560827Z  * [new tag]                 ciflow/trunk/169412         -> ciflow/trunk/169412
2025-12-04T09:19:58.7562309Z  * [new tag]                 ciflow/trunk/169418         -> ciflow/trunk/169418
2025-12-04T09:19:58.7563648Z  * [new tag]                 ciflow/trunk/169423         -> ciflow/trunk/169423
2025-12-04T09:19:58.7564695Z  * [new tag]                 ciflow/trunk/169427         -> ciflow/trunk/169427
2025-12-04T09:19:58.7566234Z  * [new tag]                 ciflow/trunk/169430         -> ciflow/trunk/169430
2025-12-04T09:19:58.7567588Z  * [new tag]                 ciflow/trunk/169437         -> ciflow/trunk/169437
2025-12-04T09:19:58.7568937Z  * [new tag]                 ciflow/trunk/169442         -> ciflow/trunk/169442
2025-12-04T09:19:58.7570260Z  * [new tag]                 ciflow/trunk/169452         -> ciflow/trunk/169452
2025-12-04T09:19:58.7571609Z  * [new tag]                 ciflow/trunk/169454         -> ciflow/trunk/169454
2025-12-04T09:19:58.7572928Z  * [new tag]                 ciflow/trunk/169459         -> ciflow/trunk/169459
2025-12-04T09:19:58.7574380Z  * [new tag]                 ciflow/trunk/169474         -> ciflow/trunk/169474
2025-12-04T09:19:58.7575733Z  * [new tag]                 ciflow/trunk/169475         -> ciflow/trunk/169475
2025-12-04T09:19:58.7577051Z  * [new tag]                 ciflow/trunk/169476         -> ciflow/trunk/169476
2025-12-04T09:19:58.7578559Z  * [new tag]                 ciflow/trunk/169487         -> ciflow/trunk/169487
2025-12-04T09:19:58.7579994Z  * [new tag]                 ciflow/trunk/169497         -> ciflow/trunk/169497
2025-12-04T09:19:58.7581088Z  * [new tag]                 ciflow/trunk/169503         -> ciflow/trunk/169503
2025-12-04T09:19:58.7582620Z  * [new tag]                 ciflow/trunk/169505         -> ciflow/trunk/169505
2025-12-04T09:19:58.7583882Z  * [new tag]                 ciflow/trunk/169507         -> ciflow/trunk/169507
2025-12-04T09:19:58.7585279Z  * [new tag]                 ciflow/trunk/169514         -> ciflow/trunk/169514
2025-12-04T09:19:58.7586958Z  * [new tag]                 ciflow/trunk/169517         -> ciflow/trunk/169517
2025-12-04T09:19:58.7588502Z  * [new tag]                 ciflow/trunk/169519         -> ciflow/trunk/169519
2025-12-04T09:19:58.7589979Z  * [new tag]                 ciflow/trunk/169528         -> ciflow/trunk/169528
2025-12-04T09:19:58.7591522Z  * [new tag]                 ciflow/trunk/169541         -> ciflow/trunk/169541
2025-12-04T09:19:58.7593482Z  * [new tag]                 ciflow/trunk/169555         -> ciflow/trunk/169555
2025-12-04T09:19:58.7595279Z  * [new tag]                 ciflow/unstable/123         -> ciflow/unstable/123
2025-12-04T09:19:58.7597001Z  * [new tag]                 ciflow/vllm/165270          -> ciflow/vllm/165270
2025-12-04T09:19:58.7597961Z  * [new tag]                 ciflow/vllm/165274          -> ciflow/vllm/165274
2025-12-04T09:19:58.7599515Z  * [new tag]                 ciflow/vllm/166494          -> ciflow/vllm/166494
2025-12-04T09:19:58.7600793Z  * [new tag]                 ciflow/vllm/169219          -> ciflow/vllm/169219
2025-12-04T09:19:58.7601746Z  * [new tag]                 ciflow/vllm/169220          -> ciflow/vllm/169220
2025-12-04T09:19:58.7603912Z  * [new tag]                 ciflow/xpu/157994           -> ciflow/xpu/157994
2025-12-04T09:19:58.7605443Z  * [new tag]                 ciflow/xpu/159718           -> ciflow/xpu/159718
2025-12-04T09:19:58.7606712Z  * [new tag]                 ciflow/xpu/161940           -> ciflow/xpu/161940
2025-12-04T09:19:58.7608082Z  * [new tag]                 ciflow/xpu/163251           -> ciflow/xpu/163251
2025-12-04T09:19:58.7609384Z  * [new tag]                 ciflow/xpu/166829           -> ciflow/xpu/166829
2025-12-04T09:19:58.7610557Z  * [new tag]                 ciflow/xpu/166843           -> ciflow/xpu/166843
2025-12-04T09:19:58.7612316Z  * [new tag]                 ciflow/xpu/167972           -> ciflow/xpu/167972
2025-12-04T09:19:58.7613595Z  * [new tag]                 ciflow/xpu/167981           -> ciflow/xpu/167981
2025-12-04T09:19:58.7614856Z  * [new tag]                 ciflow/xpu/168213           -> ciflow/xpu/168213
2025-12-04T09:19:58.7616134Z  * [new tag]                 ciflow/xpu/168262           -> ciflow/xpu/168262
2025-12-04T09:19:58.7617090Z  * [new tag]                 ciflow/xpu/168328           -> ciflow/xpu/168328
2025-12-04T09:19:58.7618974Z  * [new tag]                 ciflow/xpu/168950           -> ciflow/xpu/168950
2025-12-04T09:19:58.7621160Z  * [new tag]                 ciflow/xpu/169039           -> ciflow/xpu/169039
2025-12-04T09:19:58.7622817Z  * [new tag]                 ciflow/xpu/169200           -> ciflow/xpu/169200
2025-12-04T09:19:58.7624136Z  * [new tag]                 ciflow/xpu/169203           -> ciflow/xpu/169203
2025-12-04T09:19:58.7625516Z  * [new tag]                 ciflow/xpu/169230           -> ciflow/xpu/169230
2025-12-04T09:19:58.7626936Z  * [new tag]                 ciflow/xpu/169231           -> ciflow/xpu/169231
2025-12-04T09:19:58.7628406Z  * [new tag]                 ciflow/xpu/169241           -> ciflow/xpu/169241
2025-12-04T09:19:58.7629693Z  * [new tag]                 ciflow/xpu/169280           -> ciflow/xpu/169280
2025-12-04T09:19:58.7631104Z  * [new tag]                 ciflow/xpu/169296           -> ciflow/xpu/169296
2025-12-04T09:19:58.7632545Z  * [new tag]                 ciflow/xpu/169353           -> ciflow/xpu/169353
2025-12-04T09:19:58.7633904Z  * [new tag]                 ciflow/xpu/169410           -> ciflow/xpu/169410
2025-12-04T09:19:58.7635190Z  * [new tag]                 ciflow/xpu/169442           -> ciflow/xpu/169442
2025-12-04T09:19:58.7636620Z  * [new tag]                 ciflow/xpu/169555           -> ciflow/xpu/169555
2025-12-04T09:19:58.7637926Z  * [new tag]                 cslpull75                   -> cslpull75
2025-12-04T09:19:58.7639283Z  * [new tag]                 cslpull76                   -> cslpull76
2025-12-04T09:19:58.7640834Z  * [new tag]                 cslpull77                   -> cslpull77
2025-12-04T09:19:58.7642706Z  * [new tag]                 cslpull78                   -> cslpull78
2025-12-04T09:19:58.7644491Z  * [new tag]                 cslpull79                   -> cslpull79
2025-12-04T09:19:58.7646164Z  * [new tag]                 cslpull80                   -> cslpull80
2025-12-04T09:19:58.7647475Z  * [new tag]                 cslpull81                   -> cslpull81
2025-12-04T09:19:58.7648870Z  * [new tag]                 cslpull82                   -> cslpull82
2025-12-04T09:19:58.7650467Z  * [new tag]                 cslpull83                   -> cslpull83
2025-12-04T09:19:58.7652083Z  * [new tag]                 cslpull84                   -> cslpull84
2025-12-04T09:19:58.7653403Z  * [new tag]                 cslpull85                   -> cslpull85
2025-12-04T09:19:58.7654826Z  * [new tag]                 cslpull86                   -> cslpull86
2025-12-04T09:19:58.7656225Z  * [new tag]                 cslpull87                   -> cslpull87
2025-12-04T09:19:58.7657612Z  * [new tag]                 cslpull88                   -> cslpull88
2025-12-04T09:19:58.7658966Z  * [new tag]                 cslpull89                   -> cslpull89
2025-12-04T09:19:58.7660193Z  * [new tag]                 cslpull90                   -> cslpull90
2025-12-04T09:19:58.7661970Z  * [new tag]                 cslpull91                   -> cslpull91
2025-12-04T09:19:58.7663317Z  * [new tag]                 cslpull92                   -> cslpull92
2025-12-04T09:19:58.7664777Z  * [new tag]                 flight_5                    -> flight_5
2025-12-04T09:19:58.7666601Z  * [new tag]                 flight_5.1                  -> flight_5.1
2025-12-04T09:19:58.7668028Z  * [new tag]                 flight_5.2                  -> flight_5.2
2025-12-04T09:19:58.7669652Z  * [new tag]                 flight_5.3                  -> flight_5.3
2025-12-04T09:19:58.7671099Z  * [new tag]                 forpull1                    -> forpull1
2025-12-04T09:19:58.7672767Z  * [new tag]                 malfet/tag-2ef5611          -> malfet/tag-2ef5611
2025-12-04T09:19:58.7674247Z  * [new tag]                 malfet/tag-317b1a0          -> malfet/tag-317b1a0
2025-12-04T09:19:58.7675563Z  * [new tag]                 malfet/tag-ec6f767          -> malfet/tag-ec6f767
2025-12-04T09:19:58.7677041Z  * [new tag]                 nightly-binary              -> nightly-binary
2025-12-04T09:19:58.7678518Z  * [new tag]                 sqzhang_flight4_plus        -> sqzhang_flight4_plus
2025-12-04T09:19:58.7680049Z  * [new tag]                 sqzhang_flight_3            -> sqzhang_flight_3
2025-12-04T09:19:58.7681918Z  * [new tag]                 trunk/02d8bd6974cf84b721680d773dbdb1b6f40ce272 -> trunk/02d8bd6974cf84b721680d773dbdb1b6f40ce272
2025-12-04T09:19:58.7683294Z  * [new tag]                 trunk/066997fb38ade71e00d78e9d572e380b5f02bd3e -> trunk/066997fb38ade71e00d78e9d572e380b5f02bd3e
2025-12-04T09:19:58.7685061Z  * [new tag]                 trunk/076e7b19fa1d481ad778d06d2b49ba57d3ce8c88 -> trunk/076e7b19fa1d481ad778d06d2b49ba57d3ce8c88
2025-12-04T09:19:58.7686785Z  * [new tag]                 trunk/07dcc0b83db3211653a38565a24e15acdba75654 -> trunk/07dcc0b83db3211653a38565a24e15acdba75654
2025-12-04T09:19:58.7688232Z  * [new tag]                 trunk/082e96b68dfcd16cab7cfafc4d3d055767dab3eb -> trunk/082e96b68dfcd16cab7cfafc4d3d055767dab3eb
2025-12-04T09:19:58.7689642Z  * [new tag]                 trunk/088048f2fea28ff7d450f65c72419ca45780d30b -> trunk/088048f2fea28ff7d450f65c72419ca45780d30b
2025-12-04T09:19:58.7691227Z  * [new tag]                 trunk/09076941a95c76f4d9ad189d064dfd8baa39e672 -> trunk/09076941a95c76f4d9ad189d064dfd8baa39e672
2025-12-04T09:19:58.7692600Z  * [new tag]                 trunk/0b80a4c62b94402844bf221791c096b0035c6d75 -> trunk/0b80a4c62b94402844bf221791c096b0035c6d75
2025-12-04T09:19:58.7694209Z  * [new tag]                 trunk/0bbbdf1750567a980634ad907a325357ba8ba8f2 -> trunk/0bbbdf1750567a980634ad907a325357ba8ba8f2
2025-12-04T09:19:58.7695777Z  * [new tag]                 trunk/0c281dd78773b2bc17c58ead0e4cd4ac46e775c5 -> trunk/0c281dd78773b2bc17c58ead0e4cd4ac46e775c5
2025-12-04T09:19:58.7697141Z  * [new tag]                 trunk/135f3753c418a6879b1954904184937b67e61688 -> trunk/135f3753c418a6879b1954904184937b67e61688
2025-12-04T09:19:58.7698718Z  * [new tag]                 trunk/15da21026cb13cd20257dc9e96830db108743c10 -> trunk/15da21026cb13cd20257dc9e96830db108743c10
2025-12-04T09:19:58.7700348Z  * [new tag]                 trunk/166efdad2ac827f30fb02504c6017520257f88ec -> trunk/166efdad2ac827f30fb02504c6017520257f88ec
2025-12-04T09:19:58.7702026Z  * [new tag]                 trunk/174272c15fae553d8488140af931f7d8050a313f -> trunk/174272c15fae553d8488140af931f7d8050a313f
2025-12-04T09:19:58.7704012Z  * [new tag]                 trunk/18f3ca08f13b8de61307f5e8cd7d4cccb67e9d11 -> trunk/18f3ca08f13b8de61307f5e8cd7d4cccb67e9d11
2025-12-04T09:19:58.7705528Z  * [new tag]                 trunk/1902eddfe655a15ebcf2c72bd81ade110fdeef63 -> trunk/1902eddfe655a15ebcf2c72bd81ade110fdeef63
2025-12-04T09:19:58.7707036Z  * [new tag]                 trunk/195f92e98d3d66738577f11f22c4b5c8a1c76dd5 -> trunk/195f92e98d3d66738577f11f22c4b5c8a1c76dd5
2025-12-04T09:19:58.7708460Z  * [new tag]                 trunk/1aa13e17de39e3c768ea7aebaad166ce72a06676 -> trunk/1aa13e17de39e3c768ea7aebaad166ce72a06676
2025-12-04T09:19:58.7710050Z  * [new tag]                 trunk/1afe2832f58e24e54a5bfda5a5afa9b96fdea40e -> trunk/1afe2832f58e24e54a5bfda5a5afa9b96fdea40e
2025-12-04T09:19:58.7711692Z  * [new tag]                 trunk/1c87554d74140eaee964ca8b1832cede67f5f520 -> trunk/1c87554d74140eaee964ca8b1832cede67f5f520
2025-12-04T09:19:58.7713184Z  * [new tag]                 trunk/1ccb743b7b5be955f49736c162c4f5004b8a0dd8 -> trunk/1ccb743b7b5be955f49736c162c4f5004b8a0dd8
2025-12-04T09:19:58.7714725Z  * [new tag]                 trunk/1cee47d6ce0a02227185b566593f002dd639ca0c -> trunk/1cee47d6ce0a02227185b566593f002dd639ca0c
2025-12-04T09:19:58.7715938Z  * [new tag]                 trunk/1d21b4df2babe322e5d085ceb6de884eb260a62d -> trunk/1d21b4df2babe322e5d085ceb6de884eb260a62d
2025-12-04T09:19:58.7717507Z  * [new tag]                 trunk/1e34fb2550e4aa650314f7a6d9f6daf4da7478a8 -> trunk/1e34fb2550e4aa650314f7a6d9f6daf4da7478a8
2025-12-04T09:19:58.7719032Z  * [new tag]                 trunk/1e526fb5b1d93bfc70691c5c3955fdffc1b7b7de -> trunk/1e526fb5b1d93bfc70691c5c3955fdffc1b7b7de
2025-12-04T09:19:58.7720390Z  * [new tag]                 trunk/1ee32a8b1f554a312d79bad01ded24f38cd95543 -> trunk/1ee32a8b1f554a312d79bad01ded24f38cd95543
2025-12-04T09:19:58.7721994Z  * [new tag]                 trunk/201e2c4117eb9744594dad6a5c18213d7b4705d7 -> trunk/201e2c4117eb9744594dad6a5c18213d7b4705d7
2025-12-04T09:19:58.7723445Z  * [new tag]                 trunk/2353a0f60eb4b4cb6675907a7fa9fbedc1c02e7f -> trunk/2353a0f60eb4b4cb6675907a7fa9fbedc1c02e7f
2025-12-04T09:19:58.7725012Z  * [new tag]                 trunk/285779b1621cf9f073a062b0889a642d200308d9 -> trunk/285779b1621cf9f073a062b0889a642d200308d9
2025-12-04T09:19:58.7726337Z  * [new tag]                 trunk/2887faaec6295d081580d09fce161201826c6d87 -> trunk/2887faaec6295d081580d09fce161201826c6d87
2025-12-04T09:19:58.7727779Z  * [new tag]                 trunk/296e67c92635443c67b11c0ae1bd045f03ebb7bc -> trunk/296e67c92635443c67b11c0ae1bd045f03ebb7bc
2025-12-04T09:19:58.7729229Z  * [new tag]                 trunk/29856679769b3dede478767e2fe6cfb51197cb25 -> trunk/29856679769b3dede478767e2fe6cfb51197cb25
2025-12-04T09:19:58.7730708Z  * [new tag]                 trunk/29e5455a4740c326ab187c7aa7b5ef98034ea563 -> trunk/29e5455a4740c326ab187c7aa7b5ef98034ea563
2025-12-04T09:19:58.7732153Z  * [new tag]                 trunk/2ac3ef882afb23136adc188975f0a8802fc68adf -> trunk/2ac3ef882afb23136adc188975f0a8802fc68adf
2025-12-04T09:19:58.7733727Z  * [new tag]                 trunk/2bec68e73b64715354af076ad309335f943e36cd -> trunk/2bec68e73b64715354af076ad309335f943e36cd
2025-12-04T09:19:58.7735686Z  * [new tag]                 trunk/2c87367e6f88662cd5cedbd1537748b7948c38e1 -> trunk/2c87367e6f88662cd5cedbd1537748b7948c38e1
2025-12-04T09:19:58.7737107Z  * [new tag]                 trunk/2d1f78fe3ec13820f136a2e0336da12a25f41708 -> trunk/2d1f78fe3ec13820f136a2e0336da12a25f41708
2025-12-04T09:19:58.7738760Z  * [new tag]                 trunk/2df6058f116a65722a0e03073402feb242572d35 -> trunk/2df6058f116a65722a0e03073402feb242572d35
2025-12-04T09:19:58.7739933Z  * [new tag]                 trunk/2e0c2e170fe658c440775c8e5c44228aafcc47ec -> trunk/2e0c2e170fe658c440775c8e5c44228aafcc47ec
2025-12-04T09:19:58.7741788Z  * [new tag]                 trunk/2f9b7dad7b5419b063bd0f2e204de192720ebb94 -> trunk/2f9b7dad7b5419b063bd0f2e204de192720ebb94
2025-12-04T09:19:58.7743387Z  * [new tag]                 trunk/305168768a95d69c444df5cd334bb774edfe06f1 -> trunk/305168768a95d69c444df5cd334bb774edfe06f1
2025-12-04T09:19:58.7744531Z  * [new tag]                 trunk/31fc12773026e8e00f054dd79ad9b2491e693b48 -> trunk/31fc12773026e8e00f054dd79ad9b2491e693b48
2025-12-04T09:19:58.7747626Z  * [new tag]                 trunk/320de0c6b0a3e7c6d2693ea5c28d5d0156ba7991 -> trunk/320de0c6b0a3e7c6d2693ea5c28d5d0156ba7991
2025-12-04T09:19:58.7748071Z  * [new tag]                 trunk/3418bd29475dff06695045fcdf93e7d0dac67da8 -> trunk/3418bd29475dff06695045fcdf93e7d0dac67da8
2025-12-04T09:19:58.7749956Z  * [new tag]                 trunk/34a98608afa0cb5b48f0d6d30432fdd0a2614ddf -> trunk/34a98608afa0cb5b48f0d6d30432fdd0a2614ddf
2025-12-04T09:19:58.7750340Z  * [new tag]                 trunk/35b7a9a26c5923d98aebaa41a031dae21788a9ee -> trunk/35b7a9a26c5923d98aebaa41a031dae21788a9ee
2025-12-04T09:19:58.7752116Z  * [new tag]                 trunk/39d07dbf03a911bdd45d1af78d8638dc92074938 -> trunk/39d07dbf03a911bdd45d1af78d8638dc92074938
2025-12-04T09:19:58.7753098Z  * [new tag]                 trunk/3cd98b4205ada151042cc7ff097a82d4a4b18725 -> trunk/3cd98b4205ada151042cc7ff097a82d4a4b18725
2025-12-04T09:19:58.7754846Z  * [new tag]                 trunk/3d35fd20a78ff4d016fa80f4e5fad37191d7bcae -> trunk/3d35fd20a78ff4d016fa80f4e5fad37191d7bcae
2025-12-04T09:19:58.7756403Z  * [new tag]                 trunk/409a5fee945c46a3edaf5df162812f201bfd7b2f -> trunk/409a5fee945c46a3edaf5df162812f201bfd7b2f
2025-12-04T09:19:58.7757523Z  * [new tag]                 trunk/42e9005cda22da3f1c559c3649218cebd671027c -> trunk/42e9005cda22da3f1c559c3649218cebd671027c
2025-12-04T09:19:58.7759301Z  * [new tag]                 trunk/43b94713bbf340d3c124fde02d0f73add4021247 -> trunk/43b94713bbf340d3c124fde02d0f73add4021247
2025-12-04T09:19:58.7760507Z  * [new tag]                 trunk/44ac69388a4a5eb463dbd2a13f00d1e3b924566c -> trunk/44ac69388a4a5eb463dbd2a13f00d1e3b924566c
2025-12-04T09:19:58.7762274Z  * [new tag]                 trunk/45d14e2497292be06ad36eaa1aaaf7c630a2586a -> trunk/45d14e2497292be06ad36eaa1aaaf7c630a2586a
2025-12-04T09:19:58.7763293Z  * [new tag]                 trunk/45d310ad84854dff730c0b12e577d7998d978686 -> trunk/45d310ad84854dff730c0b12e577d7998d978686
2025-12-04T09:19:58.7765294Z  * [new tag]                 trunk/47b28ddf7bd74b50fa93b307a7d3b183a6d77f54 -> trunk/47b28ddf7bd74b50fa93b307a7d3b183a6d77f54
2025-12-04T09:19:58.7766310Z  * [new tag]                 trunk/481e5ab336275bd3acd5fa8a611b05b4469012af -> trunk/481e5ab336275bd3acd5fa8a611b05b4469012af
2025-12-04T09:19:58.7768108Z  * [new tag]                 trunk/491731647f6b8a9345dcfb3bc9416aea254a7d96 -> trunk/491731647f6b8a9345dcfb3bc9416aea254a7d96
2025-12-04T09:19:58.7769651Z  * [new tag]                 trunk/49a04d26088acc17d948ddd66920f3e16371e873 -> trunk/49a04d26088acc17d948ddd66920f3e16371e873
2025-12-04T09:19:58.7771138Z  * [new tag]                 trunk/4bebc827c47d2f1f0fa1a417a5201a97aef3d985 -> trunk/4bebc827c47d2f1f0fa1a417a5201a97aef3d985
2025-12-04T09:19:58.7772124Z  * [new tag]                 trunk/4c246677784c6a14bc2dbb9ff8773ef0a3a3222f -> trunk/4c246677784c6a14bc2dbb9ff8773ef0a3a3222f
2025-12-04T09:19:58.7773920Z  * [new tag]                 trunk/4cfb47ff548b6d996641058cf04a70e311a4c3aa -> trunk/4cfb47ff548b6d996641058cf04a70e311a4c3aa
2025-12-04T09:19:58.7775461Z  * [new tag]                 trunk/4e0061c1aa52f606dda8cfab0bd7591e588faf2c -> trunk/4e0061c1aa52f606dda8cfab0bd7591e588faf2c
2025-12-04T09:19:58.7777296Z  * [new tag]                 trunk/4fefb8e7e942386ffac764a41b232241f82bea3a -> trunk/4fefb8e7e942386ffac764a41b232241f82bea3a
2025-12-04T09:19:58.7778732Z  * [new tag]                 trunk/503b2640023521f5a35cd9a52fc8033d73a95d0d -> trunk/503b2640023521f5a35cd9a52fc8033d73a95d0d
2025-12-04T09:19:58.7780216Z  * [new tag]                 trunk/518c2b1b3dab9a2ef2849e04b3bc2f20c1c41db9 -> trunk/518c2b1b3dab9a2ef2849e04b3bc2f20c1c41db9
2025-12-04T09:19:58.7781703Z  * [new tag]                 trunk/5191b2fa68ba19960912bfd7fd721c79d76bb1f3 -> trunk/5191b2fa68ba19960912bfd7fd721c79d76bb1f3
2025-12-04T09:19:58.7783308Z  * [new tag]                 trunk/52ac0f0dc4acacd219f1317fbc28ec631c01e07a -> trunk/52ac0f0dc4acacd219f1317fbc28ec631c01e07a
2025-12-04T09:19:58.7784814Z  * [new tag]                 trunk/539ba711b029de9f191070f4f0d12f18f5b7f292 -> trunk/539ba711b029de9f191070f4f0d12f18f5b7f292
2025-12-04T09:19:58.7786483Z  * [new tag]                 trunk/556375b55deebebbc56cb7aef81f4d52f031ba28 -> trunk/556375b55deebebbc56cb7aef81f4d52f031ba28
2025-12-04T09:19:58.7788103Z  * [new tag]                 trunk/55c4ab554845481d0a69a3811937575fe8bb1a66 -> trunk/55c4ab554845481d0a69a3811937575fe8bb1a66
2025-12-04T09:19:58.7789564Z  * [new tag]                 trunk/5634469fda9e5d98869c82c7d03bb08914245f96 -> trunk/5634469fda9e5d98869c82c7d03bb08914245f96
2025-12-04T09:19:58.7790872Z  * [new tag]                 trunk/5778f6ff894686a975a9a23645178ae4c87ad5dc -> trunk/5778f6ff894686a975a9a23645178ae4c87ad5dc
2025-12-04T09:19:58.7792450Z  * [new tag]                 trunk/587d63a3e07de5dc91065f9ef70bcacda9989068 -> trunk/587d63a3e07de5dc91065f9ef70bcacda9989068
2025-12-04T09:19:58.7793896Z  * [new tag]                 trunk/597930f6b568852356ca9795dac76f9e4653adbd -> trunk/597930f6b568852356ca9795dac76f9e4653adbd
2025-12-04T09:19:58.7795154Z  * [new tag]                 trunk/597df3a4e2a67b9fdbe1a89b2f4d74f822274db6 -> trunk/597df3a4e2a67b9fdbe1a89b2f4d74f822274db6
2025-12-04T09:19:58.7796820Z  * [new tag]                 trunk/59abd50e931f4efb21b053f7a2911f5d8a49d883 -> trunk/59abd50e931f4efb21b053f7a2911f5d8a49d883
2025-12-04T09:19:58.7798313Z  * [new tag]                 trunk/5a607febc04c3a2b5824c75f3f60307867439a2c -> trunk/5a607febc04c3a2b5824c75f3f60307867439a2c
2025-12-04T09:19:58.7799738Z  * [new tag]                 trunk/5bf1cdf4755c54ef462b44cb8041b0a57311556b -> trunk/5bf1cdf4755c54ef462b44cb8041b0a57311556b
2025-12-04T09:19:58.7801195Z  * [new tag]                 trunk/5f0030ba63d334d7e8c93a09e41403b89e4c573c -> trunk/5f0030ba63d334d7e8c93a09e41403b89e4c573c
2025-12-04T09:19:58.7802794Z  * [new tag]                 trunk/5f21d27e71268464d362a96c9ac09ea475f7f202 -> trunk/5f21d27e71268464d362a96c9ac09ea475f7f202
2025-12-04T09:19:58.7804524Z  * [new tag]                 trunk/5fafc13038c9988d9ac21fa793fbd5890604b447 -> trunk/5fafc13038c9988d9ac21fa793fbd5890604b447
2025-12-04T09:19:58.7806023Z  * [new tag]                 trunk/61be54a31dc09b59d99b62176fb935aee0b924ef -> trunk/61be54a31dc09b59d99b62176fb935aee0b924ef
2025-12-04T09:19:58.7807503Z  * [new tag]                 trunk/62d3ccd71484ed6a760d909b41487101bbc65719 -> trunk/62d3ccd71484ed6a760d909b41487101bbc65719
2025-12-04T09:19:58.7808938Z  * [new tag]                 trunk/641cdb68ae27668eb441d0e49c87a0602c120c2b -> trunk/641cdb68ae27668eb441d0e49c87a0602c120c2b
2025-12-04T09:19:58.7810445Z  * [new tag]                 trunk/65c4620d6bb0c6029f69762c22b91dda2294da9a -> trunk/65c4620d6bb0c6029f69762c22b91dda2294da9a
2025-12-04T09:19:58.7811945Z  * [new tag]                 trunk/66004b993744b4106bf8afaba71f3c228a804206 -> trunk/66004b993744b4106bf8afaba71f3c228a804206
2025-12-04T09:19:58.7813414Z  * [new tag]                 trunk/6658a04c7ca67acb64512341342e7b3ee13ee386 -> trunk/6658a04c7ca67acb64512341342e7b3ee13ee386
2025-12-04T09:19:58.7814964Z  * [new tag]                 trunk/6864e309092a71f8ab0ca6a4dc7f8a4073fd31c4 -> trunk/6864e309092a71f8ab0ca6a4dc7f8a4073fd31c4
2025-12-04T09:19:58.7816581Z  * [new tag]                 trunk/6c261c6cb07892c90ca19ed51c9705b1659a3f7d -> trunk/6c261c6cb07892c90ca19ed51c9705b1659a3f7d
2025-12-04T09:19:58.7818055Z  * [new tag]                 trunk/6c8b6a043f1628188b6396b3a2a6e000ca68362b -> trunk/6c8b6a043f1628188b6396b3a2a6e000ca68362b
2025-12-04T09:19:58.7819575Z  * [new tag]                 trunk/6ceb4a32f92ae67ce5d7d97931d17401ebf5ffa5 -> trunk/6ceb4a32f92ae67ce5d7d97931d17401ebf5ffa5
2025-12-04T09:19:58.7821404Z  * [new tag]                 trunk/6e404e9b7d6f5fb0de86aa73888c3038248c17f8 -> trunk/6e404e9b7d6f5fb0de86aa73888c3038248c17f8
2025-12-04T09:19:58.7822979Z  * [new tag]                 trunk/6ec30b490aee1db6bcdc7340abddef25784f08ec -> trunk/6ec30b490aee1db6bcdc7340abddef25784f08ec
2025-12-04T09:19:58.7824466Z  * [new tag]                 trunk/6f2783a6c08e1db34275ff25176ffe9aebc30a71 -> trunk/6f2783a6c08e1db34275ff25176ffe9aebc30a71
2025-12-04T09:19:58.7826141Z  * [new tag]                 trunk/6f53fefeb90ad3281119b5cfc4aa9ffd8a066e3d -> trunk/6f53fefeb90ad3281119b5cfc4aa9ffd8a066e3d
2025-12-04T09:19:58.7827566Z  * [new tag]                 trunk/6f7dcf51e46d0c880db1a2f5c70de57adb576f4a -> trunk/6f7dcf51e46d0c880db1a2f5c70de57adb576f4a
2025-12-04T09:19:58.7829067Z  * [new tag]                 trunk/6ff831180d2fa436c7f1c1af3adac641fce9d60e -> trunk/6ff831180d2fa436c7f1c1af3adac641fce9d60e
2025-12-04T09:19:58.7830765Z  * [new tag]                 trunk/70076464a63ab218a7ceefb0e76ccd7131deb8f8 -> trunk/70076464a63ab218a7ceefb0e76ccd7131deb8f8
2025-12-04T09:19:58.7833006Z  * [new tag]                 trunk/70d797a5fc109b20a517646fcaa819477cd0d485 -> trunk/70d797a5fc109b20a517646fcaa819477cd0d485
2025-12-04T09:19:58.7834430Z  * [new tag]                 trunk/7348cb355ff0a6f79cd4871215aea72185748734 -> trunk/7348cb355ff0a6f79cd4871215aea72185748734
2025-12-04T09:19:58.7835988Z  * [new tag]                 trunk/74fe26a1ebe32931783569f2e762e3c2c974901f -> trunk/74fe26a1ebe32931783569f2e762e3c2c974901f
2025-12-04T09:19:58.7837504Z  * [new tag]                 trunk/76aeb8c7e0f795b3fddca134cbea9a69da3ee696 -> trunk/76aeb8c7e0f795b3fddca134cbea9a69da3ee696
2025-12-04T09:19:58.7838783Z  * [new tag]                 trunk/7716da9fb23f27a65b41f9f016a2afadf281c18f -> trunk/7716da9fb23f27a65b41f9f016a2afadf281c18f
2025-12-04T09:19:58.7840318Z  * [new tag]                 trunk/7741edd4ed665f3988052e260863efb508d61a03 -> trunk/7741edd4ed665f3988052e260863efb508d61a03
2025-12-04T09:19:58.7841822Z  * [new tag]                 trunk/78adb3b3df41b45d2368b67226d2f864b78939a6 -> trunk/78adb3b3df41b45d2368b67226d2f864b78939a6
2025-12-04T09:19:58.7843369Z  * [new tag]                 trunk/79d7b178225e5ed24d4e1db74e5abbff848f5fb7 -> trunk/79d7b178225e5ed24d4e1db74e5abbff848f5fb7
2025-12-04T09:19:58.7844608Z  * [new tag]                 trunk/7a1e316115fc6996b3f2336822ba5d5f6179f0c3 -> trunk/7a1e316115fc6996b3f2336822ba5d5f6179f0c3
2025-12-04T09:19:58.7846185Z  * [new tag]                 trunk/7a41b66367c38d0af3e8a90f7be48d6b281e7bca -> trunk/7a41b66367c38d0af3e8a90f7be48d6b281e7bca
2025-12-04T09:19:58.7847640Z  * [new tag]                 trunk/7b7af390ea8541c611d1ce2018a6934188fc197b -> trunk/7b7af390ea8541c611d1ce2018a6934188fc197b
2025-12-04T09:19:58.7849197Z  * [new tag]                 trunk/7ba4680f3755a560af81aa0f688791e367aa3609 -> trunk/7ba4680f3755a560af81aa0f688791e367aa3609
2025-12-04T09:19:58.7850642Z  * [new tag]                 trunk/7bc2a66ded06a0b2549aa51d807edc5dc3e73d1b -> trunk/7bc2a66ded06a0b2549aa51d807edc5dc3e73d1b
2025-12-04T09:19:58.7851882Z  * [new tag]                 trunk/7c648509a7470ace9fb2bae960dd4790f7e943e9 -> trunk/7c648509a7470ace9fb2bae960dd4790f7e943e9
2025-12-04T09:19:58.7853364Z  * [new tag]                 trunk/7cbc2d034cecd21ab5c9707d0a9c525c17143fb8 -> trunk/7cbc2d034cecd21ab5c9707d0a9c525c17143fb8
2025-12-04T09:19:58.7854853Z  * [new tag]                 trunk/7d1bbaf4ba301ea3fba6f3c7bc02d58f6417aaed -> trunk/7d1bbaf4ba301ea3fba6f3c7bc02d58f6417aaed
2025-12-04T09:19:58.7856447Z  * [new tag]                 trunk/7d2a33e4ebf60b217a3cd77feae19231eb996fc8 -> trunk/7d2a33e4ebf60b217a3cd77feae19231eb996fc8
2025-12-04T09:19:58.7857808Z  * [new tag]                 trunk/7eb625920054b1126a7d2d99818aaa188c6ba95e -> trunk/7eb625920054b1126a7d2d99818aaa188c6ba95e
2025-12-04T09:19:58.7859069Z  * [new tag]                 trunk/7f55ba19c456a3d6cc443dd9edb6bb7cca677ead -> trunk/7f55ba19c456a3d6cc443dd9edb6bb7cca677ead
2025-12-04T09:19:58.7860705Z  * [new tag]                 trunk/81af382128efa094d8702e18f2c133760904c718 -> trunk/81af382128efa094d8702e18f2c133760904c718
2025-12-04T09:19:58.7862361Z  * [new tag]                 trunk/84149583d483e9c973c9a0feda70e4f3964947b0 -> trunk/84149583d483e9c973c9a0feda70e4f3964947b0
2025-12-04T09:19:58.7864118Z  * [new tag]                 trunk/85a315917efe82c24306be805c584ec044951c75 -> trunk/85a315917efe82c24306be805c584ec044951c75
2025-12-04T09:19:58.7865693Z  * [new tag]                 trunk/87329491c82a5f8c1cc4ec11d8f55a5de2551ece -> trunk/87329491c82a5f8c1cc4ec11d8f55a5de2551ece
2025-12-04T09:19:58.7867088Z  * [new tag]                 trunk/892640e25aeefa8007c5af837214b4502b6b62a6 -> trunk/892640e25aeefa8007c5af837214b4502b6b62a6
2025-12-04T09:19:58.7868745Z  * [new tag]                 trunk/89e3bbcb5b5321dc8b9520b4d5a8ee60cea1d0b4 -> trunk/89e3bbcb5b5321dc8b9520b4d5a8ee60cea1d0b4
2025-12-04T09:19:58.7870189Z  * [new tag]                 trunk/8c73bbbb02159223c0c97d268a0a74cb78158a1c -> trunk/8c73bbbb02159223c0c97d268a0a74cb78158a1c
2025-12-04T09:19:58.7871711Z  * [new tag]                 trunk/8d56e98c8db988a22cb2dfaeefb30bc7d2a3cc43 -> trunk/8d56e98c8db988a22cb2dfaeefb30bc7d2a3cc43
2025-12-04T09:19:58.7873258Z  * [new tag]                 trunk/8d9dd9603e5ee26c01007f0cd4f018e584840922 -> trunk/8d9dd9603e5ee26c01007f0cd4f018e584840922
2025-12-04T09:19:58.7874799Z  * [new tag]                 trunk/8ef0c0b02b062d75e7c9be2594914a3e784d23ca -> trunk/8ef0c0b02b062d75e7c9be2594914a3e784d23ca
2025-12-04T09:19:58.7876283Z  * [new tag]                 trunk/90b27e7e8352cde97d32ddad24740ef819633f38 -> trunk/90b27e7e8352cde97d32ddad24740ef819633f38
2025-12-04T09:19:58.7877515Z  * [new tag]                 trunk/90f0139e64b2951815d524b6a373bed20c4fbf90 -> trunk/90f0139e64b2951815d524b6a373bed20c4fbf90
2025-12-04T09:19:58.7879007Z  * [new tag]                 trunk/93d0d6838c56af59b0dba794e6aa08f0c1c7799c -> trunk/93d0d6838c56af59b0dba794e6aa08f0c1c7799c
2025-12-04T09:19:58.7880740Z  * [new tag]                 trunk/94ca8d5f1e81fea3ae488650a0fb6795049a9f87 -> trunk/94ca8d5f1e81fea3ae488650a0fb6795049a9f87
2025-12-04T09:19:58.7882182Z  * [new tag]                 trunk/9844fbeadd5cebdf1281d6fbf79164139c352693 -> trunk/9844fbeadd5cebdf1281d6fbf79164139c352693
2025-12-04T09:19:58.7883728Z  * [new tag]                 trunk/99024dec888ec1e50b546822a32b6fb2f35e5eaa -> trunk/99024dec888ec1e50b546822a32b6fb2f35e5eaa
2025-12-04T09:19:58.7885181Z  * [new tag]                 trunk/9a296e640fc88aa44d275b48cd9cc30c573b169d -> trunk/9a296e640fc88aa44d275b48cd9cc30c573b169d
2025-12-04T09:19:58.7886686Z  * [new tag]                 trunk/9b3e34d8589b29f7b4e7fab6f78711b7ca6e4639 -> trunk/9b3e34d8589b29f7b4e7fab6f78711b7ca6e4639
2025-12-04T09:19:58.7888133Z  * [new tag]                 trunk/9cd055e547e9b67a5f9827f8999c38d7eda1bcb8 -> trunk/9cd055e547e9b67a5f9827f8999c38d7eda1bcb8
2025-12-04T09:19:58.7889635Z  * [new tag]                 trunk/9f0df5686cb4ada94f94620acba2e3c3f363b11d -> trunk/9f0df5686cb4ada94f94620acba2e3c3f363b11d
2025-12-04T09:19:58.7891080Z  * [new tag]                 trunk/9f7fceb887d0cfa0326a59b887821c63ff11340a -> trunk/9f7fceb887d0cfa0326a59b887821c63ff11340a
2025-12-04T09:19:58.7892614Z  * [new tag]                 trunk/9f8ef8855d3078d70f7b782540ff2aaf158d6742 -> trunk/9f8ef8855d3078d70f7b782540ff2aaf158d6742
2025-12-04T09:19:58.7894181Z  * [new tag]                 trunk/9fb52efc797b47a1f425a03aa5e47b866d8b1098 -> trunk/9fb52efc797b47a1f425a03aa5e47b866d8b1098
2025-12-04T09:19:58.7895714Z  * [new tag]                 trunk/9ff4a2ebc5762d46c73e46b1b523d7ff349fedfa -> trunk/9ff4a2ebc5762d46c73e46b1b523d7ff349fedfa
2025-12-04T09:19:58.7897459Z  * [new tag]                 trunk/a0f3937b94422354538ebbd47202d5b0e8a3fd0d -> trunk/a0f3937b94422354538ebbd47202d5b0e8a3fd0d
2025-12-04T09:19:58.7898936Z  * [new tag]                 trunk/a15066c28b3145e6edbfc88359d0411d14cfc70c -> trunk/a15066c28b3145e6edbfc88359d0411d14cfc70c
2025-12-04T09:19:58.7900410Z  * [new tag]                 trunk/a20f775e82564d2a9979221ed7f3b8d7cf54ce90 -> trunk/a20f775e82564d2a9979221ed7f3b8d7cf54ce90
2025-12-04T09:19:58.7901955Z  * [new tag]                 trunk/a2973fb00ec002dd4b6bbf07385f066efb259b8c -> trunk/a2973fb00ec002dd4b6bbf07385f066efb259b8c
2025-12-04T09:19:58.7903355Z  * [new tag]                 trunk/a7dc6dab9ad911259d4801c502907e531594db45 -> trunk/a7dc6dab9ad911259d4801c502907e531594db45
2025-12-04T09:19:58.7905220Z  * [new tag]                 trunk/a951a9cee65c01660bbc6e6fded90ecb10fa6109 -> trunk/a951a9cee65c01660bbc6e6fded90ecb10fa6109
2025-12-04T09:19:58.7906835Z  * [new tag]                 trunk/abfa1a6d65c7c159e35c72c25979b9da4971689e -> trunk/abfa1a6d65c7c159e35c72c25979b9da4971689e
2025-12-04T09:19:58.7908328Z  * [new tag]                 trunk/ae3a2395bf66151078e2d201716f7d63ce1c6f3e -> trunk/ae3a2395bf66151078e2d201716f7d63ce1c6f3e
2025-12-04T09:19:58.7909664Z  * [new tag]                 trunk/afdff7f0325080dedac44d080cb5a3b0e65e6c5e -> trunk/afdff7f0325080dedac44d080cb5a3b0e65e6c5e
2025-12-04T09:19:58.7911404Z  * [new tag]                 trunk/b1aed4e7a72c03a38f44543aaea0dae2e9b76d48 -> trunk/b1aed4e7a72c03a38f44543aaea0dae2e9b76d48
2025-12-04T09:19:58.7913192Z  * [new tag]                 trunk/b1decff555cd50e2123c8c6e25cc0d447c411f62 -> trunk/b1decff555cd50e2123c8c6e25cc0d447c411f62
2025-12-04T09:19:58.7914697Z  * [new tag]                 trunk/b2b6b034c9fd08672c40e63ef243556ad4c49bd2 -> trunk/b2b6b034c9fd08672c40e63ef243556ad4c49bd2
2025-12-04T09:19:58.7916254Z  * [new tag]                 trunk/b39813b4a04931682b0491adba2138d01d716d99 -> trunk/b39813b4a04931682b0491adba2138d01d716d99
2025-12-04T09:19:58.7917785Z  * [new tag]                 trunk/b3a7edb2311367974cc7cd764cfb11a5d6758b24 -> trunk/b3a7edb2311367974cc7cd764cfb11a5d6758b24
2025-12-04T09:19:58.7919409Z  * [new tag]                 trunk/b4cc1329c86acaef6d42c1fac7169b8d870ab0d7 -> trunk/b4cc1329c86acaef6d42c1fac7169b8d870ab0d7
2025-12-04T09:19:58.7921288Z  * [new tag]                 trunk/b555c39217f765759954a4f9f9bd1e9b87bed11a -> trunk/b555c39217f765759954a4f9f9bd1e9b87bed11a
2025-12-04T09:19:58.7922943Z  * [new tag]                 trunk/b6b6c80379388b7f9932c3e6a0f9907bf430e417 -> trunk/b6b6c80379388b7f9932c3e6a0f9907bf430e417
2025-12-04T09:19:58.7924475Z  * [new tag]                 trunk/b6b6d912df0b6f4082f8e50b18bd1de1dd7325f4 -> trunk/b6b6d912df0b6f4082f8e50b18bd1de1dd7325f4
2025-12-04T09:19:58.7926067Z  * [new tag]                 trunk/b7d60685f8cbc939b68a20871e90db67e729329b -> trunk/b7d60685f8cbc939b68a20871e90db67e729329b
2025-12-04T09:19:58.7927538Z  * [new tag]                 trunk/b7f6b9a4fc6259f7af068f31868b3119bb1bac3e -> trunk/b7f6b9a4fc6259f7af068f31868b3119bb1bac3e
2025-12-04T09:19:58.7929309Z  * [new tag]                 trunk/b8c4ba3593761e7b2a3ebd86f040fb07b47c02cf -> trunk/b8c4ba3593761e7b2a3ebd86f040fb07b47c02cf
2025-12-04T09:19:58.7931285Z  * [new tag]                 trunk/b9c8f3a4884befb965ff42620ce44a71b04887f5 -> trunk/b9c8f3a4884befb965ff42620ce44a71b04887f5
2025-12-04T09:19:58.7932980Z  * [new tag]                 trunk/ba1412546f3082c0958c077acc2025e4dbc33f1f -> trunk/ba1412546f3082c0958c077acc2025e4dbc33f1f
2025-12-04T09:19:58.7934457Z  * [new tag]                 trunk/bac403c0b38c63bdbcc0c31f1c2b0bc0260f610f -> trunk/bac403c0b38c63bdbcc0c31f1c2b0bc0260f610f
2025-12-04T09:19:58.7935959Z  * [new tag]                 trunk/bb3034198b459401fabeab254e1b99f0115046e2 -> trunk/bb3034198b459401fabeab254e1b99f0115046e2
2025-12-04T09:19:58.7937578Z  * [new tag]                 trunk/bc39b2b3bc7a6e19a42e62bd576974035086fe55 -> trunk/bc39b2b3bc7a6e19a42e62bd576974035086fe55
2025-12-04T09:19:58.7939330Z  * [new tag]                 trunk/bc43d5b297f207a11d83d77ddf0152bdaabe15a8 -> trunk/bc43d5b297f207a11d83d77ddf0152bdaabe15a8
2025-12-04T09:19:58.7941165Z  * [new tag]                 trunk/bc6a4863c7246a6493d16d4ea6eee71ec07c6a09 -> trunk/bc6a4863c7246a6493d16d4ea6eee71ec07c6a09
2025-12-04T09:19:58.7942839Z  * [new tag]                 trunk/bea4912944defdbcb8b061800caab6cbbbd01df5 -> trunk/bea4912944defdbcb8b061800caab6cbbbd01df5
2025-12-04T09:19:58.7944872Z  * [new tag]                 trunk/c04e2c656f48d82d1521b867bbbf03967b9b7564 -> trunk/c04e2c656f48d82d1521b867bbbf03967b9b7564
2025-12-04T09:19:58.7946724Z  * [new tag]                 trunk/c0660bcee27e7d7731634e274576a7081882bede -> trunk/c0660bcee27e7d7731634e274576a7081882bede
2025-12-04T09:19:58.7948583Z  * [new tag]                 trunk/c178ed43d3d99cbefe84fbfb21d6f282b20d62ac -> trunk/c178ed43d3d99cbefe84fbfb21d6f282b20d62ac
2025-12-04T09:19:58.7950286Z  * [new tag]                 trunk/c55b1e8f61d041ee436d697449eb028931d574fb -> trunk/c55b1e8f61d041ee436d697449eb028931d574fb
2025-12-04T09:19:58.7951923Z  * [new tag]                 trunk/c6ae7579fe12fe75f1a8f7043a494c90567273f1 -> trunk/c6ae7579fe12fe75f1a8f7043a494c90567273f1
2025-12-04T09:19:58.7953902Z  * [new tag]                 trunk/c8210e7d94bad5ae21ac389fa4ba8a463c76c4d0 -> trunk/c8210e7d94bad5ae21ac389fa4ba8a463c76c4d0
2025-12-04T09:19:58.7955761Z  * [new tag]                 trunk/cc0853af42122f8185321f542616f4474e717f09 -> trunk/cc0853af42122f8185321f542616f4474e717f09
2025-12-04T09:19:58.7957444Z  * [new tag]                 trunk/cddec6562eabfa390d014fa3741a5659cf9c94c9 -> trunk/cddec6562eabfa390d014fa3741a5659cf9c94c9
2025-12-04T09:19:58.7959324Z  * [new tag]                 trunk/ce5e7e3bf1f4b69a4f4f93d288ba75b906df492a -> trunk/ce5e7e3bf1f4b69a4f4f93d288ba75b906df492a
2025-12-04T09:19:58.7961130Z  * [new tag]                 trunk/d038b0130ec7c20ebcac219301292fd8e98a1ace -> trunk/d038b0130ec7c20ebcac219301292fd8e98a1ace
2025-12-04T09:19:58.7962813Z  * [new tag]                 trunk/d16447dacaf2420ea175f0c275c75da951f57d39 -> trunk/d16447dacaf2420ea175f0c275c75da951f57d39
2025-12-04T09:19:58.7964625Z  * [new tag]                 trunk/d19f1e8cab6810bb2e99141f9976665954c67a50 -> trunk/d19f1e8cab6810bb2e99141f9976665954c67a50
2025-12-04T09:19:58.7966371Z  * [new tag]                 trunk/d1c9f03b2a5af4104721712f8cdffe9b4f340c01 -> trunk/d1c9f03b2a5af4104721712f8cdffe9b4f340c01
2025-12-04T09:19:58.7968267Z  * [new tag]                 trunk/d40f4950f2b7f7aa380a22fe0f6166e71680fbcf -> trunk/d40f4950f2b7f7aa380a22fe0f6166e71680fbcf
2025-12-04T09:19:58.7970046Z  * [new tag]                 trunk/d5038950bacfe36bbf24a47a455fe76901deb8e8 -> trunk/d5038950bacfe36bbf24a47a455fe76901deb8e8
2025-12-04T09:19:58.7972130Z  * [new tag]                 trunk/d54ff42903c2ae0533931ff11d23b35f875bdb3d -> trunk/d54ff42903c2ae0533931ff11d23b35f875bdb3d
2025-12-04T09:19:58.7973992Z  * [new tag]                 trunk/d76697633a2d2b9cced1ae21161849b33bfe7e47 -> trunk/d76697633a2d2b9cced1ae21161849b33bfe7e47
2025-12-04T09:19:58.7975759Z  * [new tag]                 trunk/d78f52b199c547106d4cd9d2856dd0805c118bf1 -> trunk/d78f52b199c547106d4cd9d2856dd0805c118bf1
2025-12-04T09:19:58.7977582Z  * [new tag]                 trunk/d8fd5c6eed28e5004150691d048a3f6785e19a8e -> trunk/d8fd5c6eed28e5004150691d048a3f6785e19a8e
2025-12-04T09:19:58.7979369Z  * [new tag]                 trunk/d900f5e86745dec76713f4b0ef07005ef36b2f5a -> trunk/d900f5e86745dec76713f4b0ef07005ef36b2f5a
2025-12-04T09:19:58.7981526Z  * [new tag]                 trunk/d973dc6b87d763859fe1c5bd1287e3b6b1c49d1b -> trunk/d973dc6b87d763859fe1c5bd1287e3b6b1c49d1b
2025-12-04T09:19:58.7983365Z  * [new tag]                 trunk/d998c03304cb6ede76e1ed535b4ddeb6c2bf40ec -> trunk/d998c03304cb6ede76e1ed535b4ddeb6c2bf40ec
2025-12-04T09:19:58.7985296Z  * [new tag]                 trunk/d9cb8a70833101dbbe16b99520cfbdd70d0a87bf -> trunk/d9cb8a70833101dbbe16b99520cfbdd70d0a87bf
2025-12-04T09:19:58.7987244Z  * [new tag]                 trunk/d9d5e91b43f70eb8637af55db6856d49be391ffd -> trunk/d9d5e91b43f70eb8637af55db6856d49be391ffd
2025-12-04T09:19:58.7989047Z  * [new tag]                 trunk/dd18a75336a4fbd7497955cc5665904724fce889 -> trunk/dd18a75336a4fbd7497955cc5665904724fce889
2025-12-04T09:19:58.7990848Z  * [new tag]                 trunk/ded9bcd61a059bf723e6e84689552962b480ea77 -> trunk/ded9bcd61a059bf723e6e84689552962b480ea77
2025-12-04T09:19:58.7992929Z  * [new tag]                 trunk/dfbd3714d15c37a7b83b322a6b60f997fc00f50c -> trunk/dfbd3714d15c37a7b83b322a6b60f997fc00f50c
2025-12-04T09:19:58.7994784Z  * [new tag]                 trunk/e115f9f4e4b039f8e9a642aaa2bd8254a920541b -> trunk/e115f9f4e4b039f8e9a642aaa2bd8254a920541b
2025-12-04T09:19:58.7996402Z  * [new tag]                 trunk/e3f24fd73ad74c6e7176687986436956c7c18235 -> trunk/e3f24fd73ad74c6e7176687986436956c7c18235
2025-12-04T09:19:58.7998235Z  * [new tag]                 trunk/e7d24d3ff93d1503ba63860b7057438ad93f918e -> trunk/e7d24d3ff93d1503ba63860b7057438ad93f918e
2025-12-04T09:19:58.8000257Z  * [new tag]                 trunk/ea7035f462a0d2830865ee86c832bd101e1427fc -> trunk/ea7035f462a0d2830865ee86c832bd101e1427fc
2025-12-04T09:19:58.8002740Z  * [new tag]                 trunk/eabb7ad2128580ef674446027b95bcf4e21e8df3 -> trunk/eabb7ad2128580ef674446027b95bcf4e21e8df3
2025-12-04T09:19:58.8006246Z  * [new tag]                 trunk/eb5c63652a33da42e7018c23df5f20a3eb4c6ccf -> trunk/eb5c63652a33da42e7018c23df5f20a3eb4c6ccf
2025-12-04T09:19:58.8007252Z  * [new tag]                 trunk/ec2c71f5c85021b8938cdafadce24c15a36fd93e -> trunk/ec2c71f5c85021b8938cdafadce24c15a36fd93e
2025-12-04T09:19:58.8009302Z  * [new tag]                 trunk/ecbcc3f6bf327856b435b259ac63cc2f328c4b4e -> trunk/ecbcc3f6bf327856b435b259ac63cc2f328c4b4e
2025-12-04T09:19:58.8011938Z  * [new tag]                 trunk/ee87bbe876c42575e961b32a0827d76bc9782ca2 -> trunk/ee87bbe876c42575e961b32a0827d76bc9782ca2
2025-12-04T09:19:58.8013813Z  * [new tag]                 trunk/ef019d1d431c4c5a95b594cb90d40a50cd00f5e4 -> trunk/ef019d1d431c4c5a95b594cb90d40a50cd00f5e4
2025-12-04T09:19:58.8015565Z  * [new tag]                 trunk/ef8ecc13830a86c4b231f1aad9aba7851db61b53 -> trunk/ef8ecc13830a86c4b231f1aad9aba7851db61b53
2025-12-04T09:19:58.8017388Z  * [new tag]                 trunk/f1076f5510920044912247b1abb8760cb820f598 -> trunk/f1076f5510920044912247b1abb8760cb820f598
2025-12-04T09:19:58.8019173Z  * [new tag]                 trunk/f2d6a75a00a1d648ca9a0abc6a33e14c3dea6c40 -> trunk/f2d6a75a00a1d648ca9a0abc6a33e14c3dea6c40
2025-12-04T09:19:58.8020999Z  * [new tag]                 trunk/f47dd0ddef1359e5b43e4b962412f67b30ecde56 -> trunk/f47dd0ddef1359e5b43e4b962412f67b30ecde56
2025-12-04T09:19:58.8022838Z  * [new tag]                 trunk/f49d32dfa4730dcfb1b60eeeb369b5889da983c8 -> trunk/f49d32dfa4730dcfb1b60eeeb369b5889da983c8
2025-12-04T09:19:58.8024551Z  * [new tag]                 trunk/f4dedf78fc30fd4b93975787ca6074ee89db9467 -> trunk/f4dedf78fc30fd4b93975787ca6074ee89db9467
2025-12-04T09:19:58.8026469Z  * [new tag]                 trunk/f7c0d03819ebed05c4038f095d66d1b8c54aca17 -> trunk/f7c0d03819ebed05c4038f095d66d1b8c54aca17
2025-12-04T09:19:58.8028302Z  * [new tag]                 trunk/f7e1bd80a063e17453c361837ba6ea2570920a73 -> trunk/f7e1bd80a063e17453c361837ba6ea2570920a73
2025-12-04T09:19:58.8030121Z  * [new tag]                 trunk/f9bd6c53624c7c0ea3772de78498326e84c2f0e7 -> trunk/f9bd6c53624c7c0ea3772de78498326e84c2f0e7
2025-12-04T09:19:58.8032081Z  * [new tag]                 trunk/fb5be221a46b51bfc9509013b0d85bc5a9d4f15b -> trunk/fb5be221a46b51bfc9509013b0d85bc5a9d4f15b
2025-12-04T09:19:58.8033738Z  * [new tag]                 trunk/fdf863d5e1de3b2688c9511e96876e34581dbfd7 -> trunk/fdf863d5e1de3b2688c9511e96876e34581dbfd7
2025-12-04T09:19:58.8036026Z  * [new tag]                 trunk/fe0e65adfc0e7ca6e5f57e6ea8b16bd5cc967307 -> trunk/fe0e65adfc0e7ca6e5f57e6ea8b16bd5cc967307
2025-12-04T09:19:58.8037866Z  * [new tag]                 trunk/fec710bf89173f5355468a7ce1afe9157c3d9009 -> trunk/fec710bf89173f5355468a7ce1afe9157c3d9009
2025-12-04T09:19:58.8039927Z  * [new tag]                 trunk/ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 -> trunk/ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T09:19:58.8041588Z  * [new tag]                 v0.1.1                      -> v0.1.1
2025-12-04T09:19:58.8043248Z  * [new tag]                 v0.1.10                     -> v0.1.10
2025-12-04T09:19:58.8044975Z  * [new tag]                 v0.1.11                     -> v0.1.11
2025-12-04T09:19:58.8046769Z  * [new tag]                 v0.1.12                     -> v0.1.12
2025-12-04T09:19:58.8048386Z  * [new tag]                 v0.1.2                      -> v0.1.2
2025-12-04T09:19:58.8050106Z  * [new tag]                 v0.1.3                      -> v0.1.3
2025-12-04T09:19:58.8051750Z  * [new tag]                 v0.1.4                      -> v0.1.4
2025-12-04T09:19:58.8053391Z  * [new tag]                 v0.1.5                      -> v0.1.5
2025-12-04T09:19:58.8055080Z  * [new tag]                 v0.1.6                      -> v0.1.6
2025-12-04T09:19:58.8056710Z  * [new tag]                 v0.1.7                      -> v0.1.7
2025-12-04T09:19:58.8058311Z  * [new tag]                 v0.1.8                      -> v0.1.8
2025-12-04T09:19:58.8060097Z  * [new tag]                 v0.1.9                      -> v0.1.9
2025-12-04T09:19:58.8062215Z  * [new tag]                 v0.2.0                      -> v0.2.0
2025-12-04T09:19:58.8063979Z  * [new tag]                 v0.3.0                      -> v0.3.0
2025-12-04T09:19:58.8065856Z  * [new tag]                 v0.3.1                      -> v0.3.1
2025-12-04T09:19:58.8067607Z  * [new tag]                 v0.4.0                      -> v0.4.0
2025-12-04T09:19:58.8069690Z  * [new tag]                 v0.4.1                      -> v0.4.1
2025-12-04T09:19:58.8071708Z  * [new tag]                 v1.0.0                      -> v1.0.0
2025-12-04T09:19:58.8073458Z  * [new tag]                 v1.0.0a0                    -> v1.0.0a0
2025-12-04T09:19:58.8075215Z  * [new tag]                 v1.0.1                      -> v1.0.1
2025-12-04T09:19:58.8076968Z  * [new tag]                 v1.0rc0                     -> v1.0rc0
2025-12-04T09:19:58.8078429Z  * [new tag]                 v1.0rc1                     -> v1.0rc1
2025-12-04T09:19:58.8080133Z  * [new tag]                 v1.1.0                      -> v1.1.0
2025-12-04T09:19:58.8081884Z  * [new tag]                 v1.1.0a0                    -> v1.1.0a0
2025-12-04T09:19:58.8083781Z  * [new tag]                 v1.10.0                     -> v1.10.0
2025-12-04T09:19:58.8085565Z  * [new tag]                 v1.10.0-rc1                 -> v1.10.0-rc1
2025-12-04T09:19:58.8087301Z  * [new tag]                 v1.10.0-rc2                 -> v1.10.0-rc2
2025-12-04T09:19:58.8088774Z  * [new tag]                 v1.10.0-rc3                 -> v1.10.0-rc3
2025-12-04T09:19:58.8090780Z  * [new tag]                 v1.10.1                     -> v1.10.1
2025-12-04T09:19:58.8092518Z  * [new tag]                 v1.10.1-rc1                 -> v1.10.1-rc1
2025-12-04T09:19:58.8094035Z  * [new tag]                 v1.10.2                     -> v1.10.2
2025-12-04T09:19:58.8095511Z  * [new tag]                 v1.10.2-rc1                 -> v1.10.2-rc1
2025-12-04T09:19:58.8097257Z  * [new tag]                 v1.11.0                     -> v1.11.0
2025-12-04T09:19:58.8099063Z  * [new tag]                 v1.11.0-rc1                 -> v1.11.0-rc1
2025-12-04T09:19:58.8101334Z  * [new tag]                 v1.11.0-rc2                 -> v1.11.0-rc2
2025-12-04T09:19:58.8103238Z  * [new tag]                 v1.11.0-rc3                 -> v1.11.0-rc3
2025-12-04T09:19:58.8105327Z  * [new tag]                 v1.11.0-rc4                 -> v1.11.0-rc4
2025-12-04T09:19:58.8107338Z  * [new tag]                 v1.11.0-rc5                 -> v1.11.0-rc5
2025-12-04T09:19:58.8108788Z  * [new tag]                 v1.11.0-rc6                 -> v1.11.0-rc6
2025-12-04T09:19:58.8110307Z  * [new tag]                 v1.11.0-rc7                 -> v1.11.0-rc7
2025-12-04T09:19:58.8112259Z  * [new tag]                 v1.12.0                     -> v1.12.0
2025-12-04T09:19:58.8113887Z  * [new tag]                 v1.12.0-rc1                 -> v1.12.0-rc1
2025-12-04T09:19:58.8116122Z  * [new tag]                 v1.12.0-rc2                 -> v1.12.0-rc2
2025-12-04T09:19:58.8117872Z  * [new tag]                 v1.12.0-rc3                 -> v1.12.0-rc3
2025-12-04T09:19:58.8119625Z  * [new tag]                 v1.12.0-rc4                 -> v1.12.0-rc4
2025-12-04T09:19:58.8121851Z  * [new tag]                 v1.12.0-rc5                 -> v1.12.0-rc5
2025-12-04T09:19:58.8123733Z  * [new tag]                 v1.12.0-rc6                 -> v1.12.0-rc6
2025-12-04T09:19:58.8125226Z  * [new tag]                 v1.12.0-rc7                 -> v1.12.0-rc7
2025-12-04T09:19:58.8126704Z  * [new tag]                 v1.12.0-rc8                 -> v1.12.0-rc8
2025-12-04T09:19:58.8128209Z  * [new tag]                 v1.12.1                     -> v1.12.1
2025-12-04T09:19:58.8130262Z  * [new tag]                 v1.12.1-rc1                 -> v1.12.1-rc1
2025-12-04T09:19:58.8132300Z  * [new tag]                 v1.12.1-rc2                 -> v1.12.1-rc2
2025-12-04T09:19:58.8134069Z  * [new tag]                 v1.12.1-rc3                 -> v1.12.1-rc3
2025-12-04T09:19:58.8135863Z  * [new tag]                 v1.12.1-rc4                 -> v1.12.1-rc4
2025-12-04T09:19:58.8137330Z  * [new tag]                 v1.12.1-rc5                 -> v1.12.1-rc5
2025-12-04T09:19:58.8139121Z  * [new tag]                 v1.13.0                     -> v1.13.0
2025-12-04T09:19:58.8140838Z  * [new tag]                 v1.13.0-rc1                 -> v1.13.0-rc1
2025-12-04T09:19:58.8142508Z  * [new tag]                 v1.13.0-rc2                 -> v1.13.0-rc2
2025-12-04T09:19:58.8144236Z  * [new tag]                 v1.13.0-rc3                 -> v1.13.0-rc3
2025-12-04T09:19:58.8146284Z  * [new tag]                 v1.13.0-rc4                 -> v1.13.0-rc4
2025-12-04T09:19:58.8147772Z  * [new tag]                 v1.13.0-rc5                 -> v1.13.0-rc5
2025-12-04T09:19:58.8149300Z  * [new tag]                 v1.13.0-rc6                 -> v1.13.0-rc6
2025-12-04T09:19:58.8151171Z  * [new tag]                 v1.13.1                     -> v1.13.1
2025-12-04T09:19:58.8152632Z  * [new tag]                 v1.13.1-rc1                 -> v1.13.1-rc1
2025-12-04T09:19:58.8154331Z  * [new tag]                 v1.2.0                      -> v1.2.0
2025-12-04T09:19:58.8156038Z  * [new tag]                 v1.2.0a0                    -> v1.2.0a0
2025-12-04T09:19:58.8157761Z  * [new tag]                 v1.3.0                      -> v1.3.0
2025-12-04T09:19:58.8159444Z  * [new tag]                 v1.3.0a0                    -> v1.3.0a0
2025-12-04T09:19:58.8161333Z  * [new tag]                 v1.3.1                      -> v1.3.1
2025-12-04T09:19:58.8163156Z  * [new tag]                 v1.4.0                      -> v1.4.0
2025-12-04T09:19:58.8164948Z  * [new tag]                 v1.4.0a0                    -> v1.4.0a0
2025-12-04T09:19:58.8166422Z  * [new tag]                 v1.4.1                      -> v1.4.1
2025-12-04T09:19:58.8168212Z  * [new tag]                 v1.5.0                      -> v1.5.0
2025-12-04T09:19:58.8170068Z  * [new tag]                 v1.5.0-rc1                  -> v1.5.0-rc1
2025-12-04T09:19:58.8171825Z  * [new tag]                 v1.5.0-rc2                  -> v1.5.0-rc2
2025-12-04T09:19:58.8173660Z  * [new tag]                 v1.5.0-rc3                  -> v1.5.0-rc3
2025-12-04T09:19:58.8175313Z  * [new tag]                 v1.5.0-rc4                  -> v1.5.0-rc4
2025-12-04T09:19:58.8176819Z  * [new tag]                 v1.5.0-rc5                  -> v1.5.0-rc5
2025-12-04T09:19:58.8178645Z  * [new tag]                 v1.5.1                      -> v1.5.1
2025-12-04T09:19:58.8180283Z  * [new tag]                 v1.5.1-rc1                  -> v1.5.1-rc1
2025-12-04T09:19:58.8182094Z  * [new tag]                 v1.6.0                      -> v1.6.0
2025-12-04T09:19:58.8183870Z  * [new tag]                 v1.6.0-rc1                  -> v1.6.0-rc1
2025-12-04T09:19:58.8185935Z  * [new tag]                 v1.6.0-rc2                  -> v1.6.0-rc2
2025-12-04T09:19:58.8187535Z  * [new tag]                 v1.6.0-rc3                  -> v1.6.0-rc3
2025-12-04T09:19:58.8189290Z  * [new tag]                 v1.6.0-rc4                  -> v1.6.0-rc4
2025-12-04T09:19:58.8191385Z  * [new tag]                 v1.6.0-rc5                  -> v1.6.0-rc5
2025-12-04T09:19:58.8193236Z  * [new tag]                 v1.6.0-rc6                  -> v1.6.0-rc6
2025-12-04T09:19:58.8194606Z  * [new tag]                 v1.6.0-rc7                  -> v1.6.0-rc7
2025-12-04T09:19:58.8196452Z  * [new tag]                 v1.7.0                      -> v1.7.0
2025-12-04T09:19:58.8198207Z  * [new tag]                 v1.7.0-rc1                  -> v1.7.0-rc1
2025-12-04T09:19:58.8200119Z  * [new tag]                 v1.7.0-rc2                  -> v1.7.0-rc2
2025-12-04T09:19:58.8201821Z  * [new tag]                 v1.7.0-rc3                  -> v1.7.0-rc3
2025-12-04T09:19:58.8203556Z  * [new tag]                 v1.7.0-rc4                  -> v1.7.0-rc4
2025-12-04T09:19:58.8205241Z  * [new tag]                 v1.7.1                      -> v1.7.1
2025-12-04T09:19:58.8207149Z  * [new tag]                 v1.7.1-rc1                  -> v1.7.1-rc1
2025-12-04T09:19:58.8208900Z  * [new tag]                 v1.7.1-rc2                  -> v1.7.1-rc2
2025-12-04T09:19:58.8210565Z  * [new tag]                 v1.7.1-rc3                  -> v1.7.1-rc3
2025-12-04T09:19:58.8212663Z  * [new tag]                 v1.8.0                      -> v1.8.0
2025-12-04T09:19:58.8214212Z  * [new tag]                 v1.8.0-rc1                  -> v1.8.0-rc1
2025-12-04T09:19:58.8215968Z  * [new tag]                 v1.8.0-rc2                  -> v1.8.0-rc2
2025-12-04T09:19:58.8217718Z  * [new tag]                 v1.8.0-rc3                  -> v1.8.0-rc3
2025-12-04T09:19:58.8219555Z  * [new tag]                 v1.8.0-rc4                  -> v1.8.0-rc4
2025-12-04T09:19:58.8221422Z  * [new tag]                 v1.8.0-rc5                  -> v1.8.0-rc5
2025-12-04T09:19:58.8222914Z  * [new tag]                 v1.8.1                      -> v1.8.1
2025-12-04T09:19:58.8224712Z  * [new tag]                 v1.8.1-rc1                  -> v1.8.1-rc1
2025-12-04T09:19:58.8226326Z  * [new tag]                 v1.8.1-rc2                  -> v1.8.1-rc2
2025-12-04T09:19:58.8228485Z  * [new tag]                 v1.8.1-rc3                  -> v1.8.1-rc3
2025-12-04T09:19:58.8230668Z  * [new tag]                 v1.8.2                      -> v1.8.2
2025-12-04T09:19:58.8232160Z  * [new tag]                 v1.8.2-rc1                  -> v1.8.2-rc1
2025-12-04T09:19:58.8234026Z  * [new tag]                 v1.9.0                      -> v1.9.0
2025-12-04T09:19:58.8235803Z  * [new tag]                 v1.9.0-rc1                  -> v1.9.0-rc1
2025-12-04T09:19:58.8237587Z  * [new tag]                 v1.9.0-rc2                  -> v1.9.0-rc2
2025-12-04T09:19:58.8239361Z  * [new tag]                 v1.9.0-rc3                  -> v1.9.0-rc3
2025-12-04T09:19:58.8240966Z  * [new tag]                 v1.9.0-rc4                  -> v1.9.0-rc4
2025-12-04T09:19:58.8242700Z  * [new tag]                 v1.9.1                      -> v1.9.1
2025-12-04T09:19:58.8244628Z  * [new tag]                 v1.9.1-rc1                  -> v1.9.1-rc1
2025-12-04T09:19:58.8246135Z  * [new tag]                 v1.9.1-rc2                  -> v1.9.1-rc2
2025-12-04T09:19:58.8247922Z  * [new tag]                 v2.0.0                      -> v2.0.0
2025-12-04T09:19:58.8249662Z  * [new tag]                 v2.0.0-rc1                  -> v2.0.0-rc1
2025-12-04T09:19:58.8251403Z  * [new tag]                 v2.0.0-rc2                  -> v2.0.0-rc2
2025-12-04T09:19:58.8253206Z  * [new tag]                 v2.0.0-rc3                  -> v2.0.0-rc3
2025-12-04T09:19:58.8254944Z  * [new tag]                 v2.0.0-rc4                  -> v2.0.0-rc4
2025-12-04T09:19:58.8256772Z  * [new tag]                 v2.0.0-rc5                  -> v2.0.0-rc5
2025-12-04T09:19:58.8258378Z  * [new tag]                 v2.0.0-rc6                  -> v2.0.0-rc6
2025-12-04T09:19:58.8260078Z  * [new tag]                 v2.0.1                      -> v2.0.1
2025-12-04T09:19:58.8261802Z  * [new tag]                 v2.0.1-rc1                  -> v2.0.1-rc1
2025-12-04T09:19:58.8263311Z  * [new tag]                 v2.0.1-rc2                  -> v2.0.1-rc2
2025-12-04T09:19:58.8265009Z  * [new tag]                 v2.0.1-rc3                  -> v2.0.1-rc3
2025-12-04T09:19:58.8266619Z  * [new tag]                 v2.0.1-rc4                  -> v2.0.1-rc4
2025-12-04T09:19:58.8268888Z  * [new tag]                 v2.1.0                      -> v2.1.0
2025-12-04T09:19:58.8270808Z  * [new tag]                 v2.1.0-rc1                  -> v2.1.0-rc1
2025-12-04T09:19:58.8272890Z  * [new tag]                 v2.1.0-rc2                  -> v2.1.0-rc2
2025-12-04T09:19:58.8274745Z  * [new tag]                 v2.1.0-rc3                  -> v2.1.0-rc3
2025-12-04T09:19:58.8276663Z  * [new tag]                 v2.1.0-rc4                  -> v2.1.0-rc4
2025-12-04T09:19:58.8278477Z  * [new tag]                 v2.1.0-rc5                  -> v2.1.0-rc5
2025-12-04T09:19:58.8280039Z  * [new tag]                 v2.1.0-rc6                  -> v2.1.0-rc6
2025-12-04T09:19:58.8282193Z  * [new tag]                 v2.1.1                      -> v2.1.1
2025-12-04T09:19:58.8284002Z  * [new tag]                 v2.1.1-rc1                  -> v2.1.1-rc1
2025-12-04T09:19:58.8285869Z  * [new tag]                 v2.1.1-rc2                  -> v2.1.1-rc2
2025-12-04T09:19:58.8287627Z  * [new tag]                 v2.1.1-rc3                  -> v2.1.1-rc3
2025-12-04T09:19:58.8289414Z  * [new tag]                 v2.1.1-rc4                  -> v2.1.1-rc4
2025-12-04T09:19:58.8291164Z  * [new tag]                 v2.1.1-rc5                  -> v2.1.1-rc5
2025-12-04T09:19:58.8292714Z  * [new tag]                 v2.1.1-rc6                  -> v2.1.1-rc6
2025-12-04T09:19:58.8294402Z  * [new tag]                 v2.1.2                      -> v2.1.2
2025-12-04T09:19:58.8296230Z  * [new tag]                 v2.1.2-rc1                  -> v2.1.2-rc1
2025-12-04T09:19:58.8298026Z  * [new tag]                 v2.1.2-rc2                  -> v2.1.2-rc2
2025-12-04T09:19:58.8299582Z  * [new tag]                 v2.1.2-rc3                  -> v2.1.2-rc3
2025-12-04T09:19:58.8301794Z  * [new tag]                 v2.2.0                      -> v2.2.0
2025-12-04T09:19:58.8303710Z  * [new tag]                 v2.2.0-rc1                  -> v2.2.0-rc1
2025-12-04T09:19:58.8305479Z  * [new tag]                 v2.2.0-rc2                  -> v2.2.0-rc2
2025-12-04T09:19:58.8307298Z  * [new tag]                 v2.2.0-rc3                  -> v2.2.0-rc3
2025-12-04T09:19:58.8308925Z  * [new tag]                 v2.2.0-rc4                  -> v2.2.0-rc4
2025-12-04T09:19:58.8310913Z  * [new tag]                 v2.2.0-rc5                  -> v2.2.0-rc5
2025-12-04T09:19:58.8312737Z  * [new tag]                 v2.2.0-rc6                  -> v2.2.0-rc6
2025-12-04T09:19:58.8314281Z  * [new tag]                 v2.2.0-rc7                  -> v2.2.0-rc7
2025-12-04T09:19:58.8315749Z  * [new tag]                 v2.2.0-rc8                  -> v2.2.0-rc8
2025-12-04T09:19:58.8317578Z  * [new tag]                 v2.2.1                      -> v2.2.1
2025-12-04T09:19:58.8319373Z  * [new tag]                 v2.2.1-rc1                  -> v2.2.1-rc1
2025-12-04T09:19:58.8320910Z  * [new tag]                 v2.2.1-rc2                  -> v2.2.1-rc2
2025-12-04T09:19:58.8322390Z  * [new tag]                 v2.2.1-rc3                  -> v2.2.1-rc3
2025-12-04T09:19:58.8323897Z  * [new tag]                 v2.2.2                      -> v2.2.2
2025-12-04T09:19:58.8325816Z  * [new tag]                 v2.2.2-rc1                  -> v2.2.2-rc1
2025-12-04T09:19:58.8327357Z  * [new tag]                 v2.2.2-rc2                  -> v2.2.2-rc2
2025-12-04T09:19:58.8328832Z  * [new tag]                 v2.2.2-rc3                  -> v2.2.2-rc3
2025-12-04T09:19:58.8331060Z  * [new tag]                 v2.3.0                      -> v2.3.0
2025-12-04T09:19:58.8332952Z  * [new tag]                 v2.3.0-rc1                  -> v2.3.0-rc1
2025-12-04T09:19:58.8334841Z  * [new tag]                 v2.3.0-rc10                 -> v2.3.0-rc10
2025-12-04T09:19:58.8336627Z  * [new tag]                 v2.3.0-rc11                 -> v2.3.0-rc11
2025-12-04T09:19:58.8338171Z  * [new tag]                 v2.3.0-rc12                 -> v2.3.0-rc12
2025-12-04T09:19:58.8340093Z  * [new tag]                 v2.3.0-rc2                  -> v2.3.0-rc2
2025-12-04T09:19:58.8342665Z  * [new tag]                 v2.3.0-rc3                  -> v2.3.0-rc3
2025-12-04T09:19:58.8344388Z  * [new tag]                 v2.3.0-rc4                  -> v2.3.0-rc4
2025-12-04T09:19:58.8346235Z  * [new tag]                 v2.3.0-rc5                  -> v2.3.0-rc5
2025-12-04T09:19:58.8347825Z  * [new tag]                 v2.3.0-rc6                  -> v2.3.0-rc6
2025-12-04T09:19:58.8349584Z  * [new tag]                 v2.3.0-rc7                  -> v2.3.0-rc7
2025-12-04T09:19:58.8351286Z  * [new tag]                 v2.3.0-rc8                  -> v2.3.0-rc8
2025-12-04T09:19:58.8352802Z  * [new tag]                 v2.3.0-rc9                  -> v2.3.0-rc9
2025-12-04T09:19:58.8354323Z  * [new tag]                 v2.3.1                      -> v2.3.1
2025-12-04T09:19:58.8356160Z  * [new tag]                 v2.3.1-rc1                  -> v2.3.1-rc1
2025-12-04T09:19:58.8357863Z  * [new tag]                 v2.3.1-rc2                  -> v2.3.1-rc2
2025-12-04T09:19:58.8359709Z  * [new tag]                 v2.3.1-rc3                  -> v2.3.1-rc3
2025-12-04T09:19:58.8361932Z  * [new tag]                 v2.4.0                      -> v2.4.0
2025-12-04T09:19:58.8363701Z  * [new tag]                 v2.4.0-rc1                  -> v2.4.0-rc1
2025-12-04T09:19:58.8365433Z  * [new tag]                 v2.4.0-rc2                  -> v2.4.0-rc2
2025-12-04T09:19:58.8367150Z  * [new tag]                 v2.4.0-rc3                  -> v2.4.0-rc3
2025-12-04T09:19:58.8368862Z  * [new tag]                 v2.4.0-rc4                  -> v2.4.0-rc4
2025-12-04T09:19:58.8371021Z  * [new tag]                 v2.4.0-rc5                  -> v2.4.0-rc5
2025-12-04T09:19:58.8372795Z  * [new tag]                 v2.4.0-rc6                  -> v2.4.0-rc6
2025-12-04T09:19:58.8374587Z  * [new tag]                 v2.4.0-rc7                  -> v2.4.0-rc7
2025-12-04T09:19:58.8376310Z  * [new tag]                 v2.4.0-rc8                  -> v2.4.0-rc8
2025-12-04T09:19:58.8378121Z  * [new tag]                 v2.4.0-rc9                  -> v2.4.0-rc9
2025-12-04T09:19:58.8379576Z  * [new tag]                 v2.4.1                      -> v2.4.1
2025-12-04T09:19:58.8381462Z  * [new tag]                 v2.4.1-rc1                  -> v2.4.1-rc1
2025-12-04T09:19:58.8383212Z  * [new tag]                 v2.4.1-rc2                  -> v2.4.1-rc2
2025-12-04T09:19:58.8385047Z  * [new tag]                 v2.4.1-rc3                  -> v2.4.1-rc3
2025-12-04T09:19:58.8386959Z  * [new tag]                 v2.5.0                      -> v2.5.0
2025-12-04T09:19:58.8388645Z  * [new tag]                 v2.5.0-rc1                  -> v2.5.0-rc1
2025-12-04T09:19:58.8390359Z  * [new tag]                 v2.5.0-rc10                 -> v2.5.0-rc10
2025-12-04T09:19:58.8392180Z  * [new tag]                 v2.5.0-rc2                  -> v2.5.0-rc2
2025-12-04T09:19:58.8393819Z  * [new tag]                 v2.5.0-rc3                  -> v2.5.0-rc3
2025-12-04T09:19:58.8395549Z  * [new tag]                 v2.5.0-rc4                  -> v2.5.0-rc4
2025-12-04T09:19:58.8397317Z  * [new tag]                 v2.5.0-rc5                  -> v2.5.0-rc5
2025-12-04T09:19:58.8399150Z  * [new tag]                 v2.5.0-rc6                  -> v2.5.0-rc6
2025-12-04T09:19:58.8401222Z  * [new tag]                 v2.5.0-rc7                  -> v2.5.0-rc7
2025-12-04T09:19:58.8403119Z  * [new tag]                 v2.5.0-rc8                  -> v2.5.0-rc8
2025-12-04T09:19:58.8407990Z  * [new tag]                 v2.5.0-rc9                  -> v2.5.0-rc9
2025-12-04T09:19:58.8409375Z  * [new tag]                 v2.5.1                      -> v2.5.1
2025-12-04T09:19:58.8410837Z  * [new tag]                 v2.5.1-rc1                  -> v2.5.1-rc1
2025-12-04T09:19:58.8412349Z  * [new tag]                 v2.6.0                      -> v2.6.0
2025-12-04T09:19:58.8414212Z  * [new tag]                 v2.6.0-rc1                  -> v2.6.0-rc1
2025-12-04T09:19:58.8416014Z  * [new tag]                 v2.6.0-rc2                  -> v2.6.0-rc2
2025-12-04T09:19:58.8417796Z  * [new tag]                 v2.6.0-rc3                  -> v2.6.0-rc3
2025-12-04T09:19:58.8419533Z  * [new tag]                 v2.6.0-rc4                  -> v2.6.0-rc4
2025-12-04T09:19:58.8422335Z  * [new tag]                 v2.6.0-rc5                  -> v2.6.0-rc5
2025-12-04T09:19:58.8424347Z  * [new tag]                 v2.6.0-rc6                  -> v2.6.0-rc6
2025-12-04T09:19:58.8426124Z  * [new tag]                 v2.6.0-rc7                  -> v2.6.0-rc7
2025-12-04T09:19:58.8428120Z  * [new tag]                 v2.6.0-rc8                  -> v2.6.0-rc8
2025-12-04T09:19:58.8429973Z  * [new tag]                 v2.6.0-rc9                  -> v2.6.0-rc9
2025-12-04T09:19:58.8432302Z  * [new tag]                 v2.7.0                      -> v2.7.0
2025-12-04T09:19:58.8434076Z  * [new tag]                 v2.7.0-rc1                  -> v2.7.0-rc1
2025-12-04T09:19:58.8435645Z  * [new tag]                 v2.7.0-rc10                 -> v2.7.0-rc10
2025-12-04T09:19:58.8437537Z  * [new tag]                 v2.7.0-rc2                  -> v2.7.0-rc2
2025-12-04T09:19:58.8439474Z  * [new tag]                 v2.7.0-rc3                  -> v2.7.0-rc3
2025-12-04T09:19:58.8441264Z  * [new tag]                 v2.7.0-rc4                  -> v2.7.0-rc4
2025-12-04T09:19:58.8443004Z  * [new tag]                 v2.7.0-rc5                  -> v2.7.0-rc5
2025-12-04T09:19:58.8444875Z  * [new tag]                 v2.7.0-rc6                  -> v2.7.0-rc6
2025-12-04T09:19:58.8446707Z  * [new tag]                 v2.7.0-rc7                  -> v2.7.0-rc7
2025-12-04T09:19:58.8448450Z  * [new tag]                 v2.7.0-rc8                  -> v2.7.0-rc8
2025-12-04T09:19:58.8450280Z  * [new tag]                 v2.7.0-rc9                  -> v2.7.0-rc9
2025-12-04T09:19:58.8451996Z  * [new tag]                 v2.7.1                      -> v2.7.1
2025-12-04T09:19:58.8453896Z  * [new tag]                 v2.7.1-rc1                  -> v2.7.1-rc1
2025-12-04T09:19:58.8455748Z  * [new tag]                 v2.7.1-rc2                  -> v2.7.1-rc2
2025-12-04T09:19:58.8457615Z  * [new tag]                 v2.7.1-rc3                  -> v2.7.1-rc3
2025-12-04T09:19:58.8459600Z  * [new tag]                 v2.7.1-rc4                  -> v2.7.1-rc4
2025-12-04T09:19:58.8461936Z  * [new tag]                 v2.7.1-rc5                  -> v2.7.1-rc5
2025-12-04T09:19:58.8463427Z  * [new tag]                 v2.8.0                      -> v2.8.0
2025-12-04T09:19:58.8465305Z  * [new tag]                 v2.8.0-rc1                  -> v2.8.0-rc1
2025-12-04T09:19:58.8467178Z  * [new tag]                 v2.8.0-rc2                  -> v2.8.0-rc2
2025-12-04T09:19:58.8469152Z  * [new tag]                 v2.8.0-rc3                  -> v2.8.0-rc3
2025-12-04T09:19:58.8470948Z  * [new tag]                 v2.8.0-rc4                  -> v2.8.0-rc4
2025-12-04T09:19:58.8472814Z  * [new tag]                 v2.8.0-rc5                  -> v2.8.0-rc5
2025-12-04T09:19:58.8474647Z  * [new tag]                 v2.8.0-rc6                  -> v2.8.0-rc6
2025-12-04T09:19:58.8476465Z  * [new tag]                 v2.8.0-rc7                  -> v2.8.0-rc7
2025-12-04T09:19:58.8478274Z  * [new tag]                 v2.8.0-rc8                  -> v2.8.0-rc8
2025-12-04T09:19:58.8480102Z  * [new tag]                 v2.9.0                      -> v2.9.0
2025-12-04T09:19:58.8481963Z  * [new tag]                 v2.9.0-rc1                  -> v2.9.0-rc1
2025-12-04T09:19:58.8483965Z  * [new tag]                 v2.9.0-rc10                 -> v2.9.0-rc10
2025-12-04T09:19:58.8485673Z  * [new tag]                 v2.9.0-rc11                 -> v2.9.0-rc11
2025-12-04T09:19:58.8487725Z  * [new tag]                 v2.9.0-rc2                  -> v2.9.0-rc2
2025-12-04T09:19:58.8489603Z  * [new tag]                 v2.9.0-rc3                  -> v2.9.0-rc3
2025-12-04T09:19:58.8491476Z  * [new tag]                 v2.9.0-rc4                  -> v2.9.0-rc4
2025-12-04T09:19:58.8493268Z  * [new tag]                 v2.9.0-rc5                  -> v2.9.0-rc5
2025-12-04T09:19:58.8495329Z  * [new tag]                 v2.9.0-rc6                  -> v2.9.0-rc6
2025-12-04T09:19:58.8497149Z  * [new tag]                 v2.9.0-rc7                  -> v2.9.0-rc7
2025-12-04T09:19:58.8499284Z  * [new tag]                 v2.9.0-rc8                  -> v2.9.0-rc8
2025-12-04T09:19:58.8500807Z  * [new tag]                 v2.9.0-rc9                  -> v2.9.0-rc9
2025-12-04T09:19:58.8502586Z  * [new tag]                 v2.9.1                      -> v2.9.1
2025-12-04T09:19:58.8504620Z  * [new tag]                 v2.9.1-rc1                  -> v2.9.1-rc1
2025-12-04T09:19:58.8506680Z  * [new tag]                 v2.9.1-rc2                  -> v2.9.1-rc2
2025-12-04T09:19:58.8509157Z  * [new tag]                 viable/strict/1759343184    -> viable/strict/1759343184
2025-12-04T09:19:58.8510937Z  * [new tag]                 viable/strict/1759346540    -> viable/strict/1759346540
2025-12-04T09:19:58.8512622Z  * [new tag]                 viable/strict/1759348181    -> viable/strict/1759348181
2025-12-04T09:19:58.8514354Z  * [new tag]                 viable/strict/1759350324    -> viable/strict/1759350324
2025-12-04T09:19:58.8516028Z  * [new tag]                 viable/strict/1759351793    -> viable/strict/1759351793
2025-12-04T09:19:58.8517640Z  * [new tag]                 viable/strict/1759353844    -> viable/strict/1759353844
2025-12-04T09:19:58.8519286Z  * [new tag]                 viable/strict/1759355374    -> viable/strict/1759355374
2025-12-04T09:19:58.8520998Z  * [new tag]                 viable/strict/1759357472    -> viable/strict/1759357472
2025-12-04T09:19:58.8522668Z  * [new tag]                 viable/strict/1759361002    -> viable/strict/1759361002
2025-12-04T09:19:58.8524690Z  * [new tag]                 viable/strict/1759362585    -> viable/strict/1759362585
2025-12-04T09:19:58.8526670Z  * [new tag]                 viable/strict/1759365359    -> viable/strict/1759365359
2025-12-04T09:19:58.8528433Z  * [new tag]                 viable/strict/1759370089    -> viable/strict/1759370089
2025-12-04T09:19:58.8530207Z  * [new tag]                 viable/strict/1759377554    -> viable/strict/1759377554
2025-12-04T09:19:58.8531980Z  * [new tag]                 viable/strict/1759379133    -> viable/strict/1759379133
2025-12-04T09:19:58.8533684Z  * [new tag]                 viable/strict/1759389871    -> viable/strict/1759389871
2025-12-04T09:19:58.8535478Z  * [new tag]                 viable/strict/1759393562    -> viable/strict/1759393562
2025-12-04T09:19:58.8537244Z  * [new tag]                 viable/strict/1759395076    -> viable/strict/1759395076
2025-12-04T09:19:58.8539027Z  * [new tag]                 viable/strict/1759398579    -> viable/strict/1759398579
2025-12-04T09:19:58.8540841Z  * [new tag]                 viable/strict/1759404142    -> viable/strict/1759404142
2025-12-04T09:19:58.8542546Z  * [new tag]                 viable/strict/1759405773    -> viable/strict/1759405773
2025-12-04T09:19:58.8544336Z  * [new tag]                 viable/strict/1759408041    -> viable/strict/1759408041
2025-12-04T09:19:58.8546213Z  * [new tag]                 viable/strict/1759411593    -> viable/strict/1759411593
2025-12-04T09:19:58.8547981Z  * [new tag]                 viable/strict/1759427395    -> viable/strict/1759427395
2025-12-04T09:19:58.8549731Z  * [new tag]                 viable/strict/1759434582    -> viable/strict/1759434582
2025-12-04T09:19:58.8551463Z  * [new tag]                 viable/strict/1759436720    -> viable/strict/1759436720
2025-12-04T09:19:58.8553439Z  * [new tag]                 viable/strict/1759440219    -> viable/strict/1759440219
2025-12-04T09:19:58.8555054Z  * [new tag]                 viable/strict/1759441948    -> viable/strict/1759441948
2025-12-04T09:19:58.8556798Z  * [new tag]                 viable/strict/1759443860    -> viable/strict/1759443860
2025-12-04T09:19:58.8558566Z  * [new tag]                 viable/strict/1759445377    -> viable/strict/1759445377
2025-12-04T09:19:58.8560362Z  * [new tag]                 viable/strict/1759447415    -> viable/strict/1759447415
2025-12-04T09:19:58.8562135Z  * [new tag]                 viable/strict/1759451750    -> viable/strict/1759451750
2025-12-04T09:19:58.8563925Z  * [new tag]                 viable/strict/1759453910    -> viable/strict/1759453910
2025-12-04T09:19:58.8565816Z  * [new tag]                 viable/strict/1759456483    -> viable/strict/1759456483
2025-12-04T09:19:58.8567578Z  * [new tag]                 viable/strict/1759459279    -> viable/strict/1759459279
2025-12-04T09:19:58.8569378Z  * [new tag]                 viable/strict/1759460742    -> viable/strict/1759460742
2025-12-04T09:19:58.8571128Z  * [new tag]                 viable/strict/1759462025    -> viable/strict/1759462025
2025-12-04T09:19:58.8572937Z  * [new tag]                 viable/strict/1759469086    -> viable/strict/1759469086
2025-12-04T09:19:58.8574704Z  * [new tag]                 viable/strict/1759470581    -> viable/strict/1759470581
2025-12-04T09:19:58.8576439Z  * [new tag]                 viable/strict/1759472786    -> viable/strict/1759472786
2025-12-04T09:19:58.8578206Z  * [new tag]                 viable/strict/1759476294    -> viable/strict/1759476294
2025-12-04T09:19:58.8579933Z  * [new tag]                 viable/strict/1759479963    -> viable/strict/1759479963
2025-12-04T09:19:58.8581672Z  * [new tag]                 viable/strict/1759492177    -> viable/strict/1759492177
2025-12-04T09:19:58.8583482Z  * [new tag]                 viable/strict/1759519278    -> viable/strict/1759519278
2025-12-04T09:19:58.8585301Z  * [new tag]                 viable/strict/1759524580    -> viable/strict/1759524580
2025-12-04T09:19:58.8587129Z  * [new tag]                 viable/strict/1759528193    -> viable/strict/1759528193
2025-12-04T09:19:58.8589100Z  * [new tag]                 viable/strict/1759533797    -> viable/strict/1759533797
2025-12-04T09:19:58.8591009Z  * [new tag]                 viable/strict/1759542780    -> viable/strict/1759542780
2025-12-04T09:19:58.8592749Z  * [new tag]                 viable/strict/1759549779    -> viable/strict/1759549779
2025-12-04T09:19:58.8594548Z  * [new tag]                 viable/strict/1759555455    -> viable/strict/1759555455
2025-12-04T09:19:58.8596822Z  * [new tag]                 viable/strict/1759559176    -> viable/strict/1759559176
2025-12-04T09:19:58.8598605Z  * [new tag]                 viable/strict/1759560629    -> viable/strict/1759560629
2025-12-04T09:19:58.8600309Z  * [new tag]                 viable/strict/1759569848    -> viable/strict/1759569848
2025-12-04T09:19:58.8602568Z  * [new tag]                 viable/strict/1759571382    -> viable/strict/1759571382
2025-12-04T09:19:58.8604291Z  * [new tag]                 viable/strict/1759573474    -> viable/strict/1759573474
2025-12-04T09:19:58.8625117Z  * [new tag]                 viable/strict/1759618187    -> viable/strict/1759618187
2025-12-04T09:19:58.8625701Z  * [new tag]                 viable/strict/1759626742    -> viable/strict/1759626742
2025-12-04T09:19:58.8625907Z  * [new tag]                 viable/strict/1759632427    -> viable/strict/1759632427
2025-12-04T09:19:58.8626121Z  * [new tag]                 viable/strict/1759634971    -> viable/strict/1759634971
2025-12-04T09:19:58.8626298Z  * [new tag]                 viable/strict/1759661382    -> viable/strict/1759661382
2025-12-04T09:19:58.8626473Z  * [new tag]                 viable/strict/1759663294    -> viable/strict/1759663294
2025-12-04T09:19:58.8626659Z  * [new tag]                 viable/strict/1759708178    -> viable/strict/1759708178
2025-12-04T09:19:58.8627029Z  * [new tag]                 viable/strict/1759715695    -> viable/strict/1759715695
2025-12-04T09:19:58.8627216Z  * [new tag]                 viable/strict/1759728293    -> viable/strict/1759728293
2025-12-04T09:19:58.8627389Z  * [new tag]                 viable/strict/1759735513    -> viable/strict/1759735513
2025-12-04T09:19:58.8627572Z  * [new tag]                 viable/strict/1759739177    -> viable/strict/1759739177
2025-12-04T09:19:58.8627754Z  * [new tag]                 viable/strict/1759758635    -> viable/strict/1759758635
2025-12-04T09:19:58.8627927Z  * [new tag]                 viable/strict/1759765784    -> viable/strict/1759765784
2025-12-04T09:19:58.8628113Z  * [new tag]                 viable/strict/1759767948    -> viable/strict/1759767948
2025-12-04T09:19:58.8628883Z  * [new tag]                 viable/strict/1759771461    -> viable/strict/1759771461
2025-12-04T09:19:58.8630884Z  * [new tag]                 viable/strict/1759776706    -> viable/strict/1759776706
2025-12-04T09:19:58.8632644Z  * [new tag]                 viable/strict/1759782317    -> viable/strict/1759782317
2025-12-04T09:19:58.8634469Z  * [new tag]                 viable/strict/1759783777    -> viable/strict/1759783777
2025-12-04T09:19:58.8636353Z  * [new tag]                 viable/strict/1759785815    -> viable/strict/1759785815
2025-12-04T09:19:58.8638176Z  * [new tag]                 viable/strict/1759789459    -> viable/strict/1759789459
2025-12-04T09:19:58.8639952Z  * [new tag]                 viable/strict/1759790974    -> viable/strict/1759790974
2025-12-04T09:19:58.8641641Z  * [new tag]                 viable/strict/1759794583    -> viable/strict/1759794583
2025-12-04T09:19:58.8643456Z  * [new tag]                 viable/strict/1759797408    -> viable/strict/1759797408
2025-12-04T09:19:58.8645343Z  * [new tag]                 viable/strict/1759799518    -> viable/strict/1759799518
2025-12-04T09:19:58.8647104Z  * [new tag]                 viable/strict/1759804909    -> viable/strict/1759804909
2025-12-04T09:19:58.8648926Z  * [new tag]                 viable/strict/1759807643    -> viable/strict/1759807643
2025-12-04T09:19:58.8650744Z  * [new tag]                 viable/strict/1759809089    -> viable/strict/1759809089
2025-12-04T09:19:58.8652506Z  * [new tag]                 viable/strict/1759811145    -> viable/strict/1759811145
2025-12-04T09:19:58.8654314Z  * [new tag]                 viable/strict/1759812581    -> viable/strict/1759812581
2025-12-04T09:19:58.8656111Z  * [new tag]                 viable/strict/1759814683    -> viable/strict/1759814683
2025-12-04T09:19:58.8657960Z  * [new tag]                 viable/strict/1759821889    -> viable/strict/1759821889
2025-12-04T09:19:58.8659839Z  * [new tag]                 viable/strict/1759823376    -> viable/strict/1759823376
2025-12-04T09:19:58.8661584Z  * [new tag]                 viable/strict/1759827107    -> viable/strict/1759827107
2025-12-04T09:19:58.8663335Z  * [new tag]                 viable/strict/1759830577    -> viable/strict/1759830577
2025-12-04T09:19:58.8665371Z  * [new tag]                 viable/strict/1759832720    -> viable/strict/1759832720
2025-12-04T09:19:58.8667333Z  * [new tag]                 viable/strict/1759842063    -> viable/strict/1759842063
2025-12-04T09:19:58.8669016Z  * [new tag]                 viable/strict/1759847121    -> viable/strict/1759847121
2025-12-04T09:19:58.8671169Z  * [new tag]                 viable/strict/1759850721    -> viable/strict/1759850721
2025-12-04T09:19:58.8672926Z  * [new tag]                 viable/strict/1759857870    -> viable/strict/1759857870
2025-12-04T09:19:58.8674780Z  * [new tag]                 viable/strict/1759863143    -> viable/strict/1759863143
2025-12-04T09:19:58.8676511Z  * [new tag]                 viable/strict/1759875874    -> viable/strict/1759875874
2025-12-04T09:19:58.8678160Z  * [new tag]                 viable/strict/1759877385    -> viable/strict/1759877385
2025-12-04T09:19:58.8680091Z  * [new tag]                 viable/strict/1759883801    -> viable/strict/1759883801
2025-12-04T09:19:58.8682199Z  * [new tag]                 viable/strict/1759885922    -> viable/strict/1759885922
2025-12-04T09:19:58.8683832Z  * [new tag]                 viable/strict/1759888488    -> viable/strict/1759888488
2025-12-04T09:19:58.8685623Z  * [new tag]                 viable/strict/1759895471    -> viable/strict/1759895471
2025-12-04T09:19:58.8687426Z  * [new tag]                 viable/strict/1759904803    -> viable/strict/1759904803
2025-12-04T09:19:58.8689524Z  * [new tag]                 viable/strict/1759908300    -> viable/strict/1759908300
2025-12-04T09:19:58.8691314Z  * [new tag]                 viable/strict/1759915520    -> viable/strict/1759915520
2025-12-04T09:19:58.8693182Z  * [new tag]                 viable/strict/1759916978    -> viable/strict/1759916978
2025-12-04T09:19:58.8694872Z  * [new tag]                 viable/strict/1759930024    -> viable/strict/1759930024
2025-12-04T09:19:58.8696668Z  * [new tag]                 viable/strict/1759948122    -> viable/strict/1759948122
2025-12-04T09:19:58.8698473Z  * [new tag]                 viable/strict/1759952983    -> viable/strict/1759952983
2025-12-04T09:19:58.8700304Z  * [new tag]                 viable/strict/1759955121    -> viable/strict/1759955121
2025-12-04T09:19:58.8702126Z  * [new tag]                 viable/strict/1759962298    -> viable/strict/1759962298
2025-12-04T09:19:58.8704205Z  * [new tag]                 viable/strict/1759965837    -> viable/strict/1759965837
2025-12-04T09:19:58.8706141Z  * [new tag]                 viable/strict/1759970213    -> viable/strict/1759970213
2025-12-04T09:19:58.8707897Z  * [new tag]                 viable/strict/1759974894    -> viable/strict/1759974894
2025-12-04T09:19:58.8709716Z  * [new tag]                 viable/strict/1759977763    -> viable/strict/1759977763
2025-12-04T09:19:58.8712005Z  * [new tag]                 viable/strict/1759979241    -> viable/strict/1759979241
2025-12-04T09:19:58.8713849Z  * [new tag]                 viable/strict/1759985417    -> viable/strict/1759985417
2025-12-04T09:19:58.8715654Z  * [new tag]                 viable/strict/1759987490    -> viable/strict/1759987490
2025-12-04T09:19:58.8717498Z  * [new tag]                 viable/strict/1759996180    -> viable/strict/1759996180
2025-12-04T09:19:58.8719294Z  * [new tag]                 viable/strict/1760065682    -> viable/strict/1760065682
2025-12-04T09:19:58.8721132Z  * [new tag]                 viable/strict/1760066894    -> viable/strict/1760066894
2025-12-04T09:19:58.8722967Z  * [new tag]                 viable/strict/1760070345    -> viable/strict/1760070345
2025-12-04T09:19:58.8724865Z  * [new tag]                 viable/strict/1760089782    -> viable/strict/1760089782
2025-12-04T09:19:58.8726636Z  * [new tag]                 viable/strict/1760091921    -> viable/strict/1760091921
2025-12-04T09:19:58.8728461Z  * [new tag]                 viable/strict/1760127924    -> viable/strict/1760127924
2025-12-04T09:19:58.8730247Z  * [new tag]                 viable/strict/1760129489    -> viable/strict/1760129489
2025-12-04T09:19:58.8732207Z  * [new tag]                 viable/strict/1760132980    -> viable/strict/1760132980
2025-12-04T09:19:58.8734148Z  * [new tag]                 viable/strict/1760135060    -> viable/strict/1760135060
2025-12-04T09:19:58.8735932Z  * [new tag]                 viable/strict/1760215782    -> viable/strict/1760215782
2025-12-04T09:19:58.8737790Z  * [new tag]                 viable/strict/1760273849    -> viable/strict/1760273849
2025-12-04T09:19:58.8739742Z  * [new tag]                 viable/strict/1760275517    -> viable/strict/1760275517
2025-12-04T09:19:58.8741525Z  * [new tag]                 viable/strict/1760276979    -> viable/strict/1760276979
2025-12-04T09:19:58.8743330Z  * [new tag]                 viable/strict/1760279007    -> viable/strict/1760279007
2025-12-04T09:19:58.8744990Z  * [new tag]                 viable/strict/1760286328    -> viable/strict/1760286328
2025-12-04T09:19:58.8746794Z  * [new tag]                 viable/strict/1760493304    -> viable/strict/1760493304
2025-12-04T09:19:58.8748759Z  * [new tag]                 viable/strict/1760496298    -> viable/strict/1760496298
2025-12-04T09:19:58.8750426Z  * [new tag]                 viable/strict/1760518396    -> viable/strict/1760518396
2025-12-04T09:19:58.8752186Z  * [new tag]                 viable/strict/1760534864    -> viable/strict/1760534864
2025-12-04T09:19:58.8754063Z  * [new tag]                 viable/strict/1760549062    -> viable/strict/1760549062
2025-12-04T09:19:58.8755956Z  * [new tag]                 viable/strict/1760552799    -> viable/strict/1760552799
2025-12-04T09:19:58.8757787Z  * [new tag]                 viable/strict/1760554355    -> viable/strict/1760554355
2025-12-04T09:19:58.8759578Z  * [new tag]                 viable/strict/1760556275    -> viable/strict/1760556275
2025-12-04T09:19:58.8761538Z  * [new tag]                 viable/strict/1760564979    -> viable/strict/1760564979
2025-12-04T09:19:58.8763411Z  * [new tag]                 viable/strict/1760567049    -> viable/strict/1760567049
2025-12-04T09:19:58.8765611Z  * [new tag]                 viable/strict/1760568585    -> viable/strict/1760568585
2025-12-04T09:19:58.8767394Z  * [new tag]                 viable/strict/1760570630    -> viable/strict/1760570630
2025-12-04T09:19:58.8769174Z  * [new tag]                 viable/strict/1760572180    -> viable/strict/1760572180
2025-12-04T09:19:58.8771035Z  * [new tag]                 viable/strict/1760575094    -> viable/strict/1760575094
2025-12-04T09:19:58.8773077Z  * [new tag]                 viable/strict/1760579709    -> viable/strict/1760579709
2025-12-04T09:19:58.8775302Z  * [new tag]                 viable/strict/1760582614    -> viable/strict/1760582614
2025-12-04T09:19:58.8777094Z  * [new tag]                 viable/strict/1760586815    -> viable/strict/1760586815
2025-12-04T09:19:58.8778754Z  * [new tag]                 viable/strict/1760588829    -> viable/strict/1760588829
2025-12-04T09:19:58.8780580Z  * [new tag]                 viable/strict/1760590200    -> viable/strict/1760590200
2025-12-04T09:19:58.8782450Z  * [new tag]                 viable/strict/1760592311    -> viable/strict/1760592311
2025-12-04T09:19:58.8784240Z  * [new tag]                 viable/strict/1760619733    -> viable/strict/1760619733
2025-12-04T09:19:58.8785941Z  * [new tag]                 viable/strict/1760628335    -> viable/strict/1760628335
2025-12-04T09:19:58.8787803Z  * [new tag]                 viable/strict/1760635490    -> viable/strict/1760635490
2025-12-04T09:19:58.8789591Z  * [new tag]                 viable/strict/1760640743    -> viable/strict/1760640743
2025-12-04T09:19:58.8791426Z  * [new tag]                 viable/strict/1760642528    -> viable/strict/1760642528
2025-12-04T09:19:58.8793245Z  * [new tag]                 viable/strict/1760646330    -> viable/strict/1760646330
2025-12-04T09:19:58.8794991Z  * [new tag]                 viable/strict/1760666101    -> viable/strict/1760666101
2025-12-04T09:19:58.8796884Z  * [new tag]                 viable/strict/1760668990    -> viable/strict/1760668990
2025-12-04T09:19:58.8798847Z  * [new tag]                 viable/strict/1760670600    -> viable/strict/1760670600
2025-12-04T09:19:58.8800592Z  * [new tag]                 viable/strict/1760671704    -> viable/strict/1760671704
2025-12-04T09:19:58.8802597Z  * [new tag]                 viable/strict/1760673121    -> viable/strict/1760673121
2025-12-04T09:19:58.8804406Z  * [new tag]                 viable/strict/1760675352    -> viable/strict/1760675352
2025-12-04T09:19:58.8806296Z  * [new tag]                 viable/strict/1760696731    -> viable/strict/1760696731
2025-12-04T09:19:58.8809471Z  * [new tag]                 viable/strict/1760723515    -> viable/strict/1760723515
2025-12-04T09:19:58.8811293Z  * [new tag]                 viable/strict/1760727234    -> viable/strict/1760727234
2025-12-04T09:19:58.8813147Z  * [new tag]                 viable/strict/1760730578    -> viable/strict/1760730578
2025-12-04T09:19:58.8814986Z  * [new tag]                 viable/strict/1760732726    -> viable/strict/1760732726
2025-12-04T09:19:58.8816972Z  * [new tag]                 viable/strict/1760734180    -> viable/strict/1760734180
2025-12-04T09:19:58.8818613Z  * [new tag]                 viable/strict/1760736251    -> viable/strict/1760736251
2025-12-04T09:19:58.8820433Z  * [new tag]                 viable/strict/1760737772    -> viable/strict/1760737772
2025-12-04T09:19:58.8822269Z  * [new tag]                 viable/strict/1760758005    -> viable/strict/1760758005
2025-12-04T09:19:58.8824032Z  * [new tag]                 viable/strict/1760761532    -> viable/strict/1760761532
2025-12-04T09:19:58.8825983Z  * [new tag]                 viable/strict/1760802581    -> viable/strict/1760802581
2025-12-04T09:19:58.8827782Z  * [new tag]                 viable/strict/1760827772    -> viable/strict/1760827772
2025-12-04T09:19:58.8829607Z  * [new tag]                 viable/strict/1760834524    -> viable/strict/1760834524
2025-12-04T09:19:58.8831928Z  * [new tag]                 viable/strict/1760845009    -> viable/strict/1760845009
2025-12-04T09:19:58.8833812Z  * [new tag]                 viable/strict/1760876836    -> viable/strict/1760876836
2025-12-04T09:19:58.8835616Z  * [new tag]                 viable/strict/1760880329    -> viable/strict/1760880329
2025-12-04T09:19:58.8837468Z  * [new tag]                 viable/strict/1760888987    -> viable/strict/1760888987
2025-12-04T09:19:58.8839275Z  * [new tag]                 viable/strict/1760912664    -> viable/strict/1760912664
2025-12-04T09:19:58.8841062Z  * [new tag]                 viable/strict/1760925321    -> viable/strict/1760925321
2025-12-04T09:19:58.8842907Z  * [new tag]                 viable/strict/1760931488    -> viable/strict/1760931488
2025-12-04T09:19:58.8844770Z  * [new tag]                 viable/strict/1760932693    -> viable/strict/1760932693
2025-12-04T09:19:58.8846546Z  * [new tag]                 viable/strict/1761004184    -> viable/strict/1761004184
2025-12-04T09:19:58.8848361Z  * [new tag]                 viable/strict/1761014748    -> viable/strict/1761014748
2025-12-04T09:19:58.8850233Z  * [new tag]                 viable/strict/1761017491    -> viable/strict/1761017491
2025-12-04T09:19:58.8852089Z  * [new tag]                 viable/strict/1761018806    -> viable/strict/1761018806
2025-12-04T09:19:58.8853958Z  * [new tag]                 viable/strict/1761020754    -> viable/strict/1761020754
2025-12-04T09:19:58.8855819Z  * [new tag]                 viable/strict/1761024303    -> viable/strict/1761024303
2025-12-04T09:19:58.8857650Z  * [new tag]                 viable/strict/1761029582    -> viable/strict/1761029582
2025-12-04T09:19:58.8859592Z  * [new tag]                 viable/strict/1761031535    -> viable/strict/1761031535
2025-12-04T09:19:58.8861343Z  * [new tag]                 viable/strict/1761035196    -> viable/strict/1761035196
2025-12-04T09:19:58.8863261Z  * [new tag]                 viable/strict/1761045825    -> viable/strict/1761045825
2025-12-04T09:19:58.8865208Z  * [new tag]                 viable/strict/1761054796    -> viable/strict/1761054796
2025-12-04T09:19:58.8867044Z  * [new tag]                 viable/strict/1761060314    -> viable/strict/1761060314
2025-12-04T09:19:58.8868924Z  * [new tag]                 viable/strict/1761071198    -> viable/strict/1761071198
2025-12-04T09:19:58.8870786Z  * [new tag]                 viable/strict/1761074628    -> viable/strict/1761074628
2025-12-04T09:19:58.8872614Z  * [new tag]                 viable/strict/1761078351    -> viable/strict/1761078351
2025-12-04T09:19:58.8874465Z  * [new tag]                 viable/strict/1761079822    -> viable/strict/1761079822
2025-12-04T09:19:58.8876243Z  * [new tag]                 viable/strict/1761081873    -> viable/strict/1761081873
2025-12-04T09:19:58.8878126Z  * [new tag]                 viable/strict/1761083392    -> viable/strict/1761083392
2025-12-04T09:19:58.8879915Z  * [new tag]                 viable/strict/1761085465    -> viable/strict/1761085465
2025-12-04T09:19:58.8881869Z  * [new tag]                 viable/strict/1761089099    -> viable/strict/1761089099
2025-12-04T09:19:58.8883826Z  * [new tag]                 viable/strict/1761095535    -> viable/strict/1761095535
2025-12-04T09:19:58.8885473Z  * [new tag]                 viable/strict/1761098119    -> viable/strict/1761098119
2025-12-04T09:19:58.8887752Z  * [new tag]                 viable/strict/1761101330    -> viable/strict/1761101330
2025-12-04T09:19:58.8889579Z  * [new tag]                 viable/strict/1761114425    -> viable/strict/1761114425
2025-12-04T09:19:58.8891391Z  * [new tag]                 viable/strict/1761116036    -> viable/strict/1761116036
2025-12-04T09:19:58.8893247Z  * [new tag]                 viable/strict/1761119379    -> viable/strict/1761119379
2025-12-04T09:19:58.8895074Z  * [new tag]                 viable/strict/1761121601    -> viable/strict/1761121601
2025-12-04T09:19:58.8896851Z  * [new tag]                 viable/strict/1761123234    -> viable/strict/1761123234
2025-12-04T09:19:58.8898673Z  * [new tag]                 viable/strict/1761126621    -> viable/strict/1761126621
2025-12-04T09:19:58.8900480Z  * [new tag]                 viable/strict/1761132259    -> viable/strict/1761132259
2025-12-04T09:19:58.8902585Z  * [new tag]                 viable/strict/1761146746    -> viable/strict/1761146746
2025-12-04T09:19:58.8906528Z  * [new tag]                 viable/strict/1761164752    -> viable/strict/1761164752
2025-12-04T09:19:58.8908332Z  * [new tag]                 viable/strict/1761166198    -> viable/strict/1761166198
2025-12-04T09:19:58.8910178Z  * [new tag]                 viable/strict/1761175424    -> viable/strict/1761175424
2025-12-04T09:19:58.8912003Z  * [new tag]                 viable/strict/1761176983    -> viable/strict/1761176983
2025-12-04T09:19:58.8913947Z  * [new tag]                 viable/strict/1761179891    -> viable/strict/1761179891
2025-12-04T09:19:58.8915777Z  * [new tag]                 viable/strict/1761181930    -> viable/strict/1761181930
2025-12-04T09:19:58.8917600Z  * [new tag]                 viable/strict/1761184516    -> viable/strict/1761184516
2025-12-04T09:19:58.8919540Z  * [new tag]                 viable/strict/1761190179    -> viable/strict/1761190179
2025-12-04T09:19:58.8921448Z  * [new tag]                 viable/strict/1761193558    -> viable/strict/1761193558
2025-12-04T09:19:58.8923201Z  * [new tag]                 viable/strict/1761207990    -> viable/strict/1761207990
2025-12-04T09:19:58.8925012Z  * [new tag]                 viable/strict/1761229539    -> viable/strict/1761229539
2025-12-04T09:19:58.8927057Z  * [new tag]                 viable/strict/1761244031    -> viable/strict/1761244031
2025-12-04T09:19:58.8928811Z  * [new tag]                 viable/strict/1761248986    -> viable/strict/1761248986
2025-12-04T09:19:58.8930622Z  * [new tag]                 viable/strict/1761259791    -> viable/strict/1761259791
2025-12-04T09:19:58.8932408Z  * [new tag]                 viable/strict/1761266139    -> viable/strict/1761266139
2025-12-04T09:19:58.8934271Z  * [new tag]                 viable/strict/1761268316    -> viable/strict/1761268316
2025-12-04T09:19:58.8936004Z  * [new tag]                 viable/strict/1761273805    -> viable/strict/1761273805
2025-12-04T09:19:58.8937752Z  * [new tag]                 viable/strict/1761275261    -> viable/strict/1761275261
2025-12-04T09:19:58.8939566Z  * [new tag]                 viable/strict/1761277913    -> viable/strict/1761277913
2025-12-04T09:19:58.8941509Z  * [new tag]                 viable/strict/1761290701    -> viable/strict/1761290701
2025-12-04T09:19:58.8943302Z  * [new tag]                 viable/strict/1761294396    -> viable/strict/1761294396
2025-12-04T09:19:58.8945250Z  * [new tag]                 viable/strict/1761303047    -> viable/strict/1761303047
2025-12-04T09:19:58.8947047Z  * [new tag]                 viable/strict/1761335388    -> viable/strict/1761335388
2025-12-04T09:19:58.8948937Z  * [new tag]                 viable/strict/1761337551    -> viable/strict/1761337551
2025-12-04T09:19:58.8950901Z  * [new tag]                 viable/strict/1761339007    -> viable/strict/1761339007
2025-12-04T09:19:58.8953127Z  * [new tag]                 viable/strict/1761341050    -> viable/strict/1761341050
2025-12-04T09:19:58.8954908Z  * [new tag]                 viable/strict/1761346188    -> viable/strict/1761346188
2025-12-04T09:19:58.8956789Z  * [new tag]                 viable/strict/1761349792    -> viable/strict/1761349792
2025-12-04T09:19:58.8958578Z  * [new tag]                 viable/strict/1761352620    -> viable/strict/1761352620
2025-12-04T09:19:58.8960320Z  * [new tag]                 viable/strict/1761354730    -> viable/strict/1761354730
2025-12-04T09:19:58.8962206Z  * [new tag]                 viable/strict/1761357298    -> viable/strict/1761357298
2025-12-04T09:19:58.8963971Z  * [new tag]                 viable/strict/1761360201    -> viable/strict/1761360201
2025-12-04T09:19:58.8965832Z  * [new tag]                 viable/strict/1761361753    -> viable/strict/1761361753
2025-12-04T09:19:58.8967615Z  * [new tag]                 viable/strict/1761364351    -> viable/strict/1761364351
2025-12-04T09:19:58.8969376Z  * [new tag]                 viable/strict/1761366338    -> viable/strict/1761366338
2025-12-04T09:19:58.8971365Z  * [new tag]                 viable/strict/1761367802    -> viable/strict/1761367802
2025-12-04T09:19:58.8973144Z  * [new tag]                 viable/strict/1761369889    -> viable/strict/1761369889
2025-12-04T09:19:58.8974982Z  * [new tag]                 viable/strict/1761371385    -> viable/strict/1761371385
2025-12-04T09:19:58.8976842Z  * [new tag]                 viable/strict/1761373581    -> viable/strict/1761373581
2025-12-04T09:19:58.8978760Z  * [new tag]                 viable/strict/1761375054    -> viable/strict/1761375054
2025-12-04T09:19:58.8980785Z  * [new tag]                 viable/strict/1761421785    -> viable/strict/1761421785
2025-12-04T09:19:58.8982675Z  * [new tag]                 viable/strict/1761434614    -> viable/strict/1761434614
2025-12-04T09:19:58.8984830Z  * [new tag]                 viable/strict/1761439254    -> viable/strict/1761439254
2025-12-04T09:19:58.8986857Z  * [new tag]                 viable/strict/1761454187    -> viable/strict/1761454187
2025-12-04T09:19:58.8988736Z  * [new tag]                 viable/strict/1761459991    -> viable/strict/1761459991
2025-12-04T09:19:58.8990767Z  * [new tag]                 viable/strict/1761470668    -> viable/strict/1761470668
2025-12-04T09:19:58.8992952Z  * [new tag]                 viable/strict/1761472188    -> viable/strict/1761472188
2025-12-04T09:19:58.8994773Z  * [new tag]                 viable/strict/1761503178    -> viable/strict/1761503178
2025-12-04T09:19:58.8996610Z  * [new tag]                 viable/strict/1761517492    -> viable/strict/1761517492
2025-12-04T09:19:58.8998422Z  * [new tag]                 viable/strict/1761518981    -> viable/strict/1761518981
2025-12-04T09:19:58.9000347Z  * [new tag]                 viable/strict/1761533609    -> viable/strict/1761533609
2025-12-04T09:19:58.9002104Z  * [new tag]                 viable/strict/1761546438    -> viable/strict/1761546438
2025-12-04T09:19:58.9004320Z  * [new tag]                 viable/strict/1761548133    -> viable/strict/1761548133
2025-12-04T09:19:58.9006434Z  * [new tag]                 viable/strict/1761555186    -> viable/strict/1761555186
2025-12-04T09:19:58.9008355Z  * [new tag]                 viable/strict/1761557178    -> viable/strict/1761557178
2025-12-04T09:19:58.9010220Z  * [new tag]                 viable/strict/1761560772    -> viable/strict/1761560772
2025-12-04T09:19:58.9012087Z  * [new tag]                 viable/strict/1761562266    -> viable/strict/1761562266
2025-12-04T09:19:58.9013987Z  * [new tag]                 viable/strict/1761564260    -> viable/strict/1761564260
2025-12-04T09:19:58.9015805Z  * [new tag]                 viable/strict/1761568072    -> viable/strict/1761568072
2025-12-04T09:19:58.9017670Z  * [new tag]                 viable/strict/1761571683    -> viable/strict/1761571683
2025-12-04T09:19:58.9019521Z  * [new tag]                 viable/strict/1761580199    -> viable/strict/1761580199
2025-12-04T09:19:58.9021299Z  * [new tag]                 viable/strict/1761587383    -> viable/strict/1761587383
2025-12-04T09:19:58.9023194Z  * [new tag]                 viable/strict/1761591165    -> viable/strict/1761591165
2025-12-04T09:19:58.9025020Z  * [new tag]                 viable/strict/1761594575    -> viable/strict/1761594575
2025-12-04T09:19:58.9026986Z  * [new tag]                 viable/strict/1761596710    -> viable/strict/1761596710
2025-12-04T09:19:58.9028859Z  * [new tag]                 viable/strict/1761598189    -> viable/strict/1761598189
2025-12-04T09:19:58.9030741Z  * [new tag]                 viable/strict/1761600254    -> viable/strict/1761600254
2025-12-04T09:19:58.9032533Z  * [new tag]                 viable/strict/1761603879    -> viable/strict/1761603879
2025-12-04T09:19:58.9034419Z  * [new tag]                 viable/strict/1761605429    -> viable/strict/1761605429
2025-12-04T09:19:58.9036397Z  * [new tag]                 viable/strict/1761607468    -> viable/strict/1761607468
2025-12-04T09:19:58.9038244Z  * [new tag]                 viable/strict/1761608983    -> viable/strict/1761608983
2025-12-04T09:19:58.9040149Z  * [new tag]                 viable/strict/1761611846    -> viable/strict/1761611846
2025-12-04T09:19:58.9042189Z  * [new tag]                 viable/strict/1761613922    -> viable/strict/1761613922
2025-12-04T09:19:58.9043877Z  * [new tag]                 viable/strict/1761616504    -> viable/strict/1761616504
2025-12-04T09:19:58.9045585Z  * [new tag]                 viable/strict/1761619599    -> viable/strict/1761619599
2025-12-04T09:19:58.9047461Z  * [new tag]                 viable/strict/1761686693    -> viable/strict/1761686693
2025-12-04T09:19:58.9049266Z  * [new tag]                 viable/strict/1761688179    -> viable/strict/1761688179
2025-12-04T09:19:58.9051108Z  * [new tag]                 viable/strict/1761691973    -> viable/strict/1761691973
2025-12-04T09:19:58.9053152Z  * [new tag]                 viable/strict/1761693884    -> viable/strict/1761693884
2025-12-04T09:19:58.9055002Z  * [new tag]                 viable/strict/1761695389    -> viable/strict/1761695389
2025-12-04T09:19:58.9056861Z  * [new tag]                 viable/strict/1761698408    -> viable/strict/1761698408
2025-12-04T09:19:58.9058722Z  * [new tag]                 viable/strict/1761702931    -> viable/strict/1761702931
2025-12-04T09:19:58.9060596Z  * [new tag]                 viable/strict/1761706307    -> viable/strict/1761706307
2025-12-04T09:19:58.9062466Z  * [new tag]                 viable/strict/1761709065    -> viable/strict/1761709065
2025-12-04T09:19:58.9064418Z  * [new tag]                 viable/strict/1761710285    -> viable/strict/1761710285
2025-12-04T09:19:58.9066453Z  * [new tag]                 viable/strict/1761711983    -> viable/strict/1761711983
2025-12-04T09:19:58.9068429Z  * [new tag]                 viable/strict/1761713514    -> viable/strict/1761713514
2025-12-04T09:19:58.9070457Z  * [new tag]                 viable/strict/1761715523    -> viable/strict/1761715523
2025-12-04T09:19:58.9072381Z  * [new tag]                 viable/strict/1761727973    -> viable/strict/1761727973
2025-12-04T09:19:58.9074766Z  * [new tag]                 viable/strict/1761751558    -> viable/strict/1761751558
2025-12-04T09:19:58.9076725Z  * [new tag]                 viable/strict/1761755187    -> viable/strict/1761755187
2025-12-04T09:19:58.9078702Z  * [new tag]                 viable/strict/1761756826    -> viable/strict/1761756826
2025-12-04T09:19:58.9080643Z  * [new tag]                 viable/strict/1761769551    -> viable/strict/1761769551
2025-12-04T09:19:58.9082606Z  * [new tag]                 viable/strict/1761771032    -> viable/strict/1761771032
2025-12-04T09:19:58.9084334Z  * [new tag]                 viable/strict/1761773101    -> viable/strict/1761773101
2025-12-04T09:19:58.9086295Z  * [new tag]                 viable/strict/1761781792    -> viable/strict/1761781792
2025-12-04T09:19:58.9088389Z  * [new tag]                 viable/strict/1761784788    -> viable/strict/1761784788
2025-12-04T09:19:58.9090204Z  * [new tag]                 viable/strict/1761786740    -> viable/strict/1761786740
2025-12-04T09:19:58.9092079Z  * [new tag]                 viable/strict/1761789332    -> viable/strict/1761789332
2025-12-04T09:19:58.9094511Z  * [new tag]                 viable/strict/1761792569    -> viable/strict/1761792569
2025-12-04T09:19:58.9096371Z  * [new tag]                 viable/strict/1761795289    -> viable/strict/1761795289
2025-12-04T09:19:58.9098295Z  * [new tag]                 viable/strict/1761798345    -> viable/strict/1761798345
2025-12-04T09:19:58.9100238Z  * [new tag]                 viable/strict/1761799827    -> viable/strict/1761799827
2025-12-04T09:19:58.9102217Z  * [new tag]                 viable/strict/1761805604    -> viable/strict/1761805604
2025-12-04T09:19:58.9104476Z  * [new tag]                 viable/strict/1761807202    -> viable/strict/1761807202
2025-12-04T09:19:58.9106550Z  * [new tag]                 viable/strict/1761809094    -> viable/strict/1761809094
2025-12-04T09:19:58.9108815Z  * [new tag]                 viable/strict/1761810576    -> viable/strict/1761810576
2025-12-04T09:19:58.9110493Z  * [new tag]                 viable/strict/1761812771    -> viable/strict/1761812771
2025-12-04T09:19:58.9112400Z  * [new tag]                 viable/strict/1761814363    -> viable/strict/1761814363
2025-12-04T09:19:58.9114329Z  * [new tag]                 viable/strict/1761857410    -> viable/strict/1761857410
2025-12-04T09:19:58.9116184Z  * [new tag]                 viable/strict/1761860985    -> viable/strict/1761860985
2025-12-04T09:19:58.9118128Z  * [new tag]                 viable/strict/1761863094    -> viable/strict/1761863094
2025-12-04T09:19:58.9120041Z  * [new tag]                 viable/strict/1761864590    -> viable/strict/1761864590
2025-12-04T09:19:58.9122035Z  * [new tag]                 viable/strict/1761866675    -> viable/strict/1761866675
2025-12-04T09:19:58.9124112Z  * [new tag]                 viable/strict/1761868178    -> viable/strict/1761868178
2025-12-04T09:19:58.9126107Z  * [new tag]                 viable/strict/1761871111    -> viable/strict/1761871111
2025-12-04T09:19:58.9128003Z  * [new tag]                 viable/strict/1761873126    -> viable/strict/1761873126
2025-12-04T09:19:58.9129960Z  * [new tag]                 viable/strict/1761875714    -> viable/strict/1761875714
2025-12-04T09:19:58.9131866Z  * [new tag]                 viable/strict/1761878924    -> viable/strict/1761878924
2025-12-04T09:19:58.9133783Z  * [new tag]                 viable/strict/1761881727    -> viable/strict/1761881727
2025-12-04T09:19:58.9135797Z  * [new tag]                 viable/strict/1761882959    -> viable/strict/1761882959
2025-12-04T09:19:58.9137728Z  * [new tag]                 viable/strict/1761886268    -> viable/strict/1761886268
2025-12-04T09:19:58.9139594Z  * [new tag]                 viable/strict/1761893641    -> viable/strict/1761893641
2025-12-04T09:19:58.9141624Z  * [new tag]                 viable/strict/1761931517    -> viable/strict/1761931517
2025-12-04T09:19:58.9143505Z  * [new tag]                 viable/strict/1761933080    -> viable/strict/1761933080
2025-12-04T09:19:58.9145503Z  * [new tag]                 viable/strict/1761935217    -> viable/strict/1761935217
2025-12-04T09:19:58.9147519Z  * [new tag]                 viable/strict/1761938533    -> viable/strict/1761938533
2025-12-04T09:19:58.9149519Z  * [new tag]                 viable/strict/1761940184    -> viable/strict/1761940184
2025-12-04T09:19:58.9151409Z  * [new tag]                 viable/strict/1761942338    -> viable/strict/1761942338
2025-12-04T09:19:58.9153320Z  * [new tag]                 viable/strict/1761946100    -> viable/strict/1761946100
2025-12-04T09:19:58.9155240Z  * [new tag]                 viable/strict/1761947374    -> viable/strict/1761947374
2025-12-04T09:19:58.9157158Z  * [new tag]                 viable/strict/1761950978    -> viable/strict/1761950978
2025-12-04T09:19:58.9159257Z  * [new tag]                 viable/strict/1761957727    -> viable/strict/1761957727
2025-12-04T09:19:58.9160940Z  * [new tag]                 viable/strict/1761959532    -> viable/strict/1761959532
2025-12-04T09:19:58.9162933Z  * [new tag]                 viable/strict/1761965366    -> viable/strict/1761965366
2025-12-04T09:19:58.9165022Z  * [new tag]                 viable/strict/1761968066    -> viable/strict/1761968066
2025-12-04T09:19:58.9167015Z  * [new tag]                 viable/strict/1761969322    -> viable/strict/1761969322
2025-12-04T09:19:58.9168957Z  * [new tag]                 viable/strict/1761974723    -> viable/strict/1761974723
2025-12-04T09:19:58.9170904Z  * [new tag]                 viable/strict/1761981837    -> viable/strict/1761981837
2025-12-04T09:19:58.9172889Z  * [new tag]                 viable/strict/1761985546    -> viable/strict/1761985546
2025-12-04T09:19:58.9174793Z  * [new tag]                 viable/strict/1761987030    -> viable/strict/1761987030
2025-12-04T09:19:58.9176788Z  * [new tag]                 viable/strict/1762003554    -> viable/strict/1762003554
2025-12-04T09:19:58.9178683Z  * [new tag]                 viable/strict/1762021560    -> viable/strict/1762021560
2025-12-04T09:19:58.9180565Z  * [new tag]                 viable/strict/1762032190    -> viable/strict/1762032190
2025-12-04T09:19:58.9182511Z  * [new tag]                 viable/strict/1762040981    -> viable/strict/1762040981
2025-12-04T09:19:58.9184435Z  * [new tag]                 viable/strict/1762048525    -> viable/strict/1762048525
2025-12-04T09:19:58.9186965Z  * [new tag]                 viable/strict/1762104223    -> viable/strict/1762104223
2025-12-04T09:19:58.9188883Z  * [new tag]                 viable/strict/1762105778    -> viable/strict/1762105778
2025-12-04T09:19:58.9190864Z  * [new tag]                 viable/strict/1762115109    -> viable/strict/1762115109
2025-12-04T09:19:58.9192814Z  * [new tag]                 viable/strict/1762125840    -> viable/strict/1762125840
2025-12-04T09:19:58.9195507Z  * [new tag]                 viable/strict/1762127377    -> viable/strict/1762127377
2025-12-04T09:19:58.9196515Z  * [new tag]                 viable/strict/1762134925    -> viable/strict/1762134925
2025-12-04T09:19:58.9198426Z  * [new tag]                 viable/strict/1762138338    -> viable/strict/1762138338
2025-12-04T09:19:58.9200844Z  * [new tag]                 viable/strict/1762148993    -> viable/strict/1762148993
2025-12-04T09:19:58.9202654Z  * [new tag]                 viable/strict/1762152871    -> viable/strict/1762152871
2025-12-04T09:19:58.9206980Z  * [new tag]                 viable/strict/1762156183    -> viable/strict/1762156183
2025-12-04T09:19:58.9208945Z  * [new tag]                 viable/strict/1762163457    -> viable/strict/1762163457
2025-12-04T09:19:58.9210866Z  * [new tag]                 viable/strict/1762165569    -> viable/strict/1762165569
2025-12-04T09:19:58.9212742Z  * [new tag]                 viable/strict/1762169035    -> viable/strict/1762169035
2025-12-04T09:19:58.9214696Z  * [new tag]                 viable/strict/1762174936    -> viable/strict/1762174936
2025-12-04T09:19:58.9216633Z  * [new tag]                 viable/strict/1762194412    -> viable/strict/1762194412
2025-12-04T09:19:58.9218559Z  * [new tag]                 viable/strict/1762195876    -> viable/strict/1762195876
2025-12-04T09:19:58.9220504Z  * [new tag]                 viable/strict/1762197788    -> viable/strict/1762197788
2025-12-04T09:19:58.9222421Z  * [new tag]                 viable/strict/1762199389    -> viable/strict/1762199389
2025-12-04T09:19:58.9224548Z  * [new tag]                 viable/strict/1762206585    -> viable/strict/1762206585
2025-12-04T09:19:58.9226731Z  * [new tag]                 viable/strict/1762210184    -> viable/strict/1762210184
2025-12-04T09:19:58.9228467Z  * [new tag]                 viable/strict/1762218736    -> viable/strict/1762218736
2025-12-04T09:19:58.9230383Z  * [new tag]                 viable/strict/1762224529    -> viable/strict/1762224529
2025-12-04T09:19:58.9232708Z  * [new tag]                 viable/strict/1762227253    -> viable/strict/1762227253
2025-12-04T09:19:58.9234330Z  * [new tag]                 viable/strict/1762228515    -> viable/strict/1762228515
2025-12-04T09:19:58.9236324Z  * [new tag]                 viable/strict/1762230349    -> viable/strict/1762230349
2025-12-04T09:19:58.9238221Z  * [new tag]                 viable/strict/1762231859    -> viable/strict/1762231859
2025-12-04T09:19:58.9240206Z  * [new tag]                 viable/strict/1762233925    -> viable/strict/1762233925
2025-12-04T09:19:58.9242429Z  * [new tag]                 viable/strict/1762237630    -> viable/strict/1762237630
2025-12-04T09:19:58.9244084Z  * [new tag]                 viable/strict/1762253522    -> viable/strict/1762253522
2025-12-04T09:19:58.9246133Z  * [new tag]                 viable/strict/1762278588    -> viable/strict/1762278588
2025-12-04T09:19:58.9248041Z  * [new tag]                 viable/strict/1762284203    -> viable/strict/1762284203
2025-12-04T09:19:58.9249996Z  * [new tag]                 viable/strict/1762289446    -> viable/strict/1762289446
2025-12-04T09:19:58.9251889Z  * [new tag]                 viable/strict/1762291515    -> viable/strict/1762291515
2025-12-04T09:19:58.9253850Z  * [new tag]                 viable/strict/1762295100    -> viable/strict/1762295100
2025-12-04T09:19:58.9255549Z  * [new tag]                 viable/strict/1762296590    -> viable/strict/1762296590
2025-12-04T09:19:58.9257325Z  * [new tag]                 viable/strict/1762300179    -> viable/strict/1762300179
2025-12-04T09:19:58.9259084Z  * [new tag]                 viable/strict/1762303207    -> viable/strict/1762303207
2025-12-04T09:19:58.9261004Z  * [new tag]                 viable/strict/1762386584    -> viable/strict/1762386584
2025-12-04T09:19:58.9262910Z  * [new tag]                 viable/strict/1762391537    -> viable/strict/1762391537
2025-12-04T09:19:58.9264677Z  * [new tag]                 viable/strict/1762394119    -> viable/strict/1762394119
2025-12-04T09:19:58.9267146Z  * [new tag]                 viable/strict/1762397437    -> viable/strict/1762397437
2025-12-04T09:19:58.9268982Z  * [new tag]                 viable/strict/1762400256    -> viable/strict/1762400256
2025-12-04T09:19:58.9270892Z  * [new tag]                 viable/strict/1762401469    -> viable/strict/1762401469
2025-12-04T09:19:58.9272929Z  * [new tag]                 viable/strict/1762408195    -> viable/strict/1762408195
2025-12-04T09:19:58.9274902Z  * [new tag]                 viable/strict/1762410411    -> viable/strict/1762410411
2025-12-04T09:19:58.9276825Z  * [new tag]                 viable/strict/1762417613    -> viable/strict/1762417613
2025-12-04T09:19:58.9278766Z  * [new tag]                 viable/strict/1762419198    -> viable/strict/1762419198
2025-12-04T09:19:58.9280702Z  * [new tag]                 viable/strict/1762422656    -> viable/strict/1762422656
2025-12-04T09:19:58.9282998Z  * [new tag]                 viable/strict/1762424746    -> viable/strict/1762424746
2025-12-04T09:19:58.9284972Z  * [new tag]                 viable/strict/1762446386    -> viable/strict/1762446386
2025-12-04T09:19:58.9286949Z  * [new tag]                 viable/strict/1762449912    -> viable/strict/1762449912
2025-12-04T09:19:58.9288866Z  * [new tag]                 viable/strict/1762457031    -> viable/strict/1762457031
2025-12-04T09:19:58.9290818Z  * [new tag]                 viable/strict/1762462441    -> viable/strict/1762462441
2025-12-04T09:19:58.9292754Z  * [new tag]                 viable/strict/1762467909    -> viable/strict/1762467909
2025-12-04T09:19:58.9294843Z  * [new tag]                 viable/strict/1762471493    -> viable/strict/1762471493
2025-12-04T09:19:58.9296804Z  * [new tag]                 viable/strict/1762475990    -> viable/strict/1762475990
2025-12-04T09:19:58.9298808Z  * [new tag]                 viable/strict/1762477933    -> viable/strict/1762477933
2025-12-04T09:19:58.9300817Z  * [new tag]                 viable/strict/1762491053    -> viable/strict/1762491053
2025-12-04T09:19:58.9302825Z  * [new tag]                 viable/strict/1762493118    -> viable/strict/1762493118
2025-12-04T09:19:58.9304857Z  * [new tag]                 viable/strict/1762498442    -> viable/strict/1762498442
2025-12-04T09:19:58.9306895Z  * [new tag]                 viable/strict/1762501778    -> viable/strict/1762501778
2025-12-04T09:19:58.9308851Z  * [new tag]                 viable/strict/1762504001    -> viable/strict/1762504001
2025-12-04T09:19:58.9310878Z  * [new tag]                 viable/strict/1762505583    -> viable/strict/1762505583
2025-12-04T09:19:58.9312896Z  * [new tag]                 viable/strict/1762507523    -> viable/strict/1762507523
2025-12-04T09:19:58.9314860Z  * [new tag]                 viable/strict/1762511140    -> viable/strict/1762511140
2025-12-04T09:19:58.9316943Z  * [new tag]                 viable/strict/1762512632    -> viable/strict/1762512632
2025-12-04T09:19:58.9318875Z  * [new tag]                 viable/strict/1762520467    -> viable/strict/1762520467
2025-12-04T09:19:58.9320747Z  * [new tag]                 viable/strict/1762522016    -> viable/strict/1762522016
2025-12-04T09:19:58.9322645Z  * [new tag]                 viable/strict/1762530591    -> viable/strict/1762530591
2025-12-04T09:19:58.9324573Z  * [new tag]                 viable/strict/1762543405    -> viable/strict/1762543405
2025-12-04T09:19:58.9326337Z  * [new tag]                 viable/strict/1762544998    -> viable/strict/1762544998
2025-12-04T09:19:58.9328736Z  * [new tag]                 viable/strict/1762552182    -> viable/strict/1762552182
2025-12-04T09:19:58.9330664Z  * [new tag]                 viable/strict/1762554297    -> viable/strict/1762554297
2025-12-04T09:19:58.9332511Z  * [new tag]                 viable/strict/1762559381    -> viable/strict/1762559381
2025-12-04T09:19:58.9334500Z  * [new tag]                 viable/strict/1762562222    -> viable/strict/1762562222
2025-12-04T09:19:58.9336348Z  * [new tag]                 viable/strict/1762564319    -> viable/strict/1762564319
2025-12-04T09:19:58.9338122Z  * [new tag]                 viable/strict/1762566904    -> viable/strict/1762566904
2025-12-04T09:19:58.9340037Z  * [new tag]                 viable/strict/1762569781    -> viable/strict/1762569781
2025-12-04T09:19:58.9342054Z  * [new tag]                 viable/strict/1762575940    -> viable/strict/1762575940
2025-12-04T09:19:58.9343972Z  * [new tag]                 viable/strict/1762580974    -> viable/strict/1762580974
2025-12-04T09:19:58.9346062Z  * [new tag]                 viable/strict/1762583185    -> viable/strict/1762583185
2025-12-04T09:19:58.9347944Z  * [new tag]                 viable/strict/1762586647    -> viable/strict/1762586647
2025-12-04T09:19:58.9350041Z  * [new tag]                 viable/strict/1762588183    -> viable/strict/1762588183
2025-12-04T09:19:58.9351884Z  * [new tag]                 viable/strict/1762593886    -> viable/strict/1762593886
2025-12-04T09:19:58.9353633Z  * [new tag]                 viable/strict/1762650743    -> viable/strict/1762650743
2025-12-04T09:19:58.9355647Z  * [new tag]                 viable/strict/1762653328    -> viable/strict/1762653328
2025-12-04T09:19:58.9357782Z  * [new tag]                 viable/strict/1762659342    -> viable/strict/1762659342
2025-12-04T09:19:58.9359795Z  * [new tag]                 viable/strict/1762662360    -> viable/strict/1762662360
2025-12-04T09:19:58.9361659Z  * [new tag]                 viable/strict/1762667377    -> viable/strict/1762667377
2025-12-04T09:19:58.9363494Z  * [new tag]                 viable/strict/1762671090    -> viable/strict/1762671090
2025-12-04T09:19:58.9365529Z  * [new tag]                 viable/strict/1762680284    -> viable/strict/1762680284
2025-12-04T09:19:58.9367354Z  * [new tag]                 viable/strict/1762683900    -> viable/strict/1762683900
2025-12-04T09:19:58.9369258Z  * [new tag]                 viable/strict/1762705541    -> viable/strict/1762705541
2025-12-04T09:19:58.9371453Z  * [new tag]                 viable/strict/1762709004    -> viable/strict/1762709004
2025-12-04T09:19:58.9373308Z  * [new tag]                 viable/strict/1762746004    -> viable/strict/1762746004
2025-12-04T09:19:58.9375322Z  * [new tag]                 viable/strict/1762748799    -> viable/strict/1762748799
2025-12-04T09:19:58.9377184Z  * [new tag]                 viable/strict/1762759504    -> viable/strict/1762759504
2025-12-04T09:19:58.9379310Z  * [new tag]                 viable/strict/1762760973    -> viable/strict/1762760973
2025-12-04T09:19:58.9381308Z  * [new tag]                 viable/strict/1762775374    -> viable/strict/1762775374
2025-12-04T09:19:58.9383162Z  * [new tag]                 viable/strict/1762777661    -> viable/strict/1762777661
2025-12-04T09:19:58.9385184Z  * [new tag]                 viable/strict/1762779774    -> viable/strict/1762779774
2025-12-04T09:19:58.9387353Z  * [new tag]                 viable/strict/1762781259    -> viable/strict/1762781259
2025-12-04T09:19:58.9389333Z  * [new tag]                 viable/strict/1762793628    -> viable/strict/1762793628
2025-12-04T09:19:58.9391213Z  * [new tag]                 viable/strict/1762800711    -> viable/strict/1762800711
2025-12-04T09:19:58.9393432Z  * [new tag]                 viable/strict/1762809894    -> viable/strict/1762809894
2025-12-04T09:19:58.9395185Z  * [new tag]                 viable/strict/1762811384    -> viable/strict/1762811384
2025-12-04T09:19:58.9397097Z  * [new tag]                 viable/strict/1762813841    -> viable/strict/1762813841
2025-12-04T09:19:58.9399168Z  * [new tag]                 viable/strict/1762815047    -> viable/strict/1762815047
2025-12-04T09:19:58.9401172Z  * [new tag]                 viable/strict/1762817094    -> viable/strict/1762817094
2025-12-04T09:19:58.9403272Z  * [new tag]                 viable/strict/1762818582    -> viable/strict/1762818582
2025-12-04T09:19:58.9405214Z  * [new tag]                 viable/strict/1762821623    -> viable/strict/1762821623
2025-12-04T09:19:58.9406976Z  * [new tag]                 viable/strict/1762823531    -> viable/strict/1762823531
2025-12-04T09:19:58.9408868Z  * [new tag]                 viable/strict/1762849583    -> viable/strict/1762849583
2025-12-04T09:19:58.9410809Z  * [new tag]                 viable/strict/1762851200    -> viable/strict/1762851200
2025-12-04T09:19:58.9412848Z  * [new tag]                 viable/strict/1762854603    -> viable/strict/1762854603
2025-12-04T09:19:58.9414814Z  * [new tag]                 viable/strict/1762858276    -> viable/strict/1762858276
2025-12-04T09:19:58.9416739Z  * [new tag]                 viable/strict/1762860891    -> viable/strict/1762860891
2025-12-04T09:19:58.9419242Z  * [new tag]                 viable/strict/1762866174    -> viable/strict/1762866174
2025-12-04T09:19:58.9421303Z  * [new tag]                 viable/strict/1762867653    -> viable/strict/1762867653
2025-12-04T09:19:58.9423160Z  * [new tag]                 viable/strict/1762872669    -> viable/strict/1762872669
2025-12-04T09:19:58.9425047Z  * [new tag]                 viable/strict/1762878380    -> viable/strict/1762878380
2025-12-04T09:19:58.9427208Z  * [new tag]                 viable/strict/1762889003    -> viable/strict/1762889003
2025-12-04T09:19:58.9429110Z  * [new tag]                 viable/strict/1762890589    -> viable/strict/1762890589
2025-12-04T09:19:58.9431037Z  * [new tag]                 viable/strict/1762892743    -> viable/strict/1762892743
2025-12-04T09:19:58.9432892Z  * [new tag]                 viable/strict/1762894271    -> viable/strict/1762894271
2025-12-04T09:19:58.9434876Z  * [new tag]                 viable/strict/1762896287    -> viable/strict/1762896287
2025-12-04T09:19:58.9436673Z  * [new tag]                 viable/strict/1762915871    -> viable/strict/1762915871
2025-12-04T09:19:58.9438614Z  * [new tag]                 viable/strict/1762918569    -> viable/strict/1762918569
2025-12-04T09:19:58.9440432Z  * [new tag]                 viable/strict/1762919776    -> viable/strict/1762919776
2025-12-04T09:19:58.9442326Z  * [new tag]                 viable/strict/1762923072    -> viable/strict/1762923072
2025-12-04T09:19:58.9444600Z  * [new tag]                 viable/strict/1762928826    -> viable/strict/1762928826
2025-12-04T09:19:58.9446499Z  * [new tag]                 viable/strict/1762930451    -> viable/strict/1762930451
2025-12-04T09:19:58.9448465Z  * [new tag]                 viable/strict/1762933780    -> viable/strict/1762933780
2025-12-04T09:19:58.9450399Z  * [new tag]                 viable/strict/1762937638    -> viable/strict/1762937638
2025-12-04T09:19:58.9452445Z  * [new tag]                 viable/strict/1762939545    -> viable/strict/1762939545
2025-12-04T09:19:58.9454900Z  * [new tag]                 viable/strict/1762962692    -> viable/strict/1762962692
2025-12-04T09:19:58.9456888Z  * [new tag]                 viable/strict/1762979143    -> viable/strict/1762979143
2025-12-04T09:19:58.9458978Z  * [new tag]                 viable/strict/1762984188    -> viable/strict/1762984188
2025-12-04T09:19:58.9460456Z  * [new tag]                 viable/strict/1762986306    -> viable/strict/1762986306
2025-12-04T09:19:58.9462492Z  * [new tag]                 viable/strict/1762989903    -> viable/strict/1762989903
2025-12-04T09:19:58.9464346Z  * [new tag]                 viable/strict/1762991377    -> viable/strict/1762991377
2025-12-04T09:19:58.9466439Z  * [new tag]                 viable/strict/1762998921    -> viable/strict/1762998921
2025-12-04T09:19:58.9468645Z  * [new tag]                 viable/strict/1763002287    -> viable/strict/1763002287
2025-12-04T09:19:58.9470432Z  * [new tag]                 viable/strict/1763016840    -> viable/strict/1763016840
2025-12-04T09:19:58.9472404Z  * [new tag]                 viable/strict/1763020180    -> viable/strict/1763020180
2025-12-04T09:19:58.9474379Z  * [new tag]                 viable/strict/1763027421    -> viable/strict/1763027421
2025-12-04T09:19:58.9476318Z  * [new tag]                 viable/strict/1763031120    -> viable/strict/1763031120
2025-12-04T09:19:58.9478394Z  * [new tag]                 viable/strict/1763036861    -> viable/strict/1763036861
2025-12-04T09:19:58.9480251Z  * [new tag]                 viable/strict/1763038993    -> viable/strict/1763038993
2025-12-04T09:19:58.9482303Z  * [new tag]                 viable/strict/1763054703    -> viable/strict/1763054703
2025-12-04T09:19:58.9484020Z  * [new tag]                 viable/strict/1763067061    -> viable/strict/1763067061
2025-12-04T09:19:58.9486123Z  * [new tag]                 viable/strict/1763070847    -> viable/strict/1763070847
2025-12-04T09:19:58.9488129Z  * [new tag]                 viable/strict/1763072706    -> viable/strict/1763072706
2025-12-04T09:19:58.9490158Z  * [new tag]                 viable/strict/1763076302    -> viable/strict/1763076302
2025-12-04T09:19:58.9492040Z  * [new tag]                 viable/strict/1763080816    -> viable/strict/1763080816
2025-12-04T09:19:58.9493989Z  * [new tag]                 viable/strict/1763082732    -> viable/strict/1763082732
2025-12-04T09:19:58.9495955Z  * [new tag]                 viable/strict/1763085329    -> viable/strict/1763085329
2025-12-04T09:19:58.9497882Z  * [new tag]                 viable/strict/1763088623    -> viable/strict/1763088623
2025-12-04T09:19:58.9500068Z  * [new tag]                 viable/strict/1763091402    -> viable/strict/1763091402
2025-12-04T09:19:58.9501871Z  * [new tag]                 viable/strict/1763092602    -> viable/strict/1763092602
2025-12-04T09:19:58.9504030Z  * [new tag]                 viable/strict/1763094355    -> viable/strict/1763094355
2025-12-04T09:19:58.9506046Z  * [new tag]                 viable/strict/1763099390    -> viable/strict/1763099390
2025-12-04T09:19:58.9507987Z  * [new tag]                 viable/strict/1763101608    -> viable/strict/1763101608
2025-12-04T09:19:58.9510045Z  * [new tag]                 viable/strict/1763105102    -> viable/strict/1763105102
2025-12-04T09:19:58.9511926Z  * [new tag]                 viable/strict/1763112347    -> viable/strict/1763112347
2025-12-04T09:19:58.9513864Z  * [new tag]                 viable/strict/1763119471    -> viable/strict/1763119471
2025-12-04T09:19:58.9515811Z  * [new tag]                 viable/strict/1763126835    -> viable/strict/1763126835
2025-12-04T09:19:58.9517488Z  * [new tag]                 viable/strict/1763149779    -> viable/strict/1763149779
2025-12-04T09:19:58.9519291Z  * [new tag]                 viable/strict/1763164178    -> viable/strict/1763164178
2025-12-04T09:19:58.9521409Z  * [new tag]                 viable/strict/1763167104    -> viable/strict/1763167104
2025-12-04T09:19:58.9523161Z  * [new tag]                 viable/strict/1763169132    -> viable/strict/1763169132
2025-12-04T09:19:58.9525100Z  * [new tag]                 viable/strict/1763171708    -> viable/strict/1763171708
2025-12-04T09:19:58.9527103Z  * [new tag]                 viable/strict/1763174759    -> viable/strict/1763174759
2025-12-04T09:19:58.9529184Z  * [new tag]                 viable/strict/1763180744    -> viable/strict/1763180744
2025-12-04T09:19:58.9531293Z  * [new tag]                 viable/strict/1763182227    -> viable/strict/1763182227
2025-12-04T09:19:58.9533016Z  * [new tag]                 viable/strict/1763184309    -> viable/strict/1763184309
2025-12-04T09:19:58.9535552Z  * [new tag]                 viable/strict/1763187991    -> viable/strict/1763187991
2025-12-04T09:19:58.9537411Z  * [new tag]                 viable/strict/1763191445    -> viable/strict/1763191445
2025-12-04T09:19:58.9539444Z  * [new tag]                 viable/strict/1763195152    -> viable/strict/1763195152
2025-12-04T09:19:58.9541376Z  * [new tag]                 viable/strict/1763205769    -> viable/strict/1763205769
2025-12-04T09:19:58.9543226Z  * [new tag]                 viable/strict/1763246990    -> viable/strict/1763246990
2025-12-04T09:19:58.9545391Z  * [new tag]                 viable/strict/1763261578    -> viable/strict/1763261578
2025-12-04T09:19:58.9547331Z  * [new tag]                 viable/strict/1763286573    -> viable/strict/1763286573
2025-12-04T09:19:58.9549054Z  * [new tag]                 viable/strict/1763292167    -> viable/strict/1763292167
2025-12-04T09:19:58.9550982Z  * [new tag]                 viable/strict/1763333386    -> viable/strict/1763333386
2025-12-04T09:19:58.9553009Z  * [new tag]                 viable/strict/1763340082    -> viable/strict/1763340082
2025-12-04T09:19:58.9555693Z  * [new tag]                 viable/strict/1763364324    -> viable/strict/1763364324
2025-12-04T09:19:58.9557528Z  * [new tag]                 viable/strict/1763371569    -> viable/strict/1763371569
2025-12-04T09:19:58.9559542Z  * [new tag]                 viable/strict/1763373067    -> viable/strict/1763373067
2025-12-04T09:19:58.9561340Z  * [new tag]                 viable/strict/1763375157    -> viable/strict/1763375157
2025-12-04T09:19:58.9563300Z  * [new tag]                 viable/strict/1763382462    -> viable/strict/1763382462
2025-12-04T09:19:58.9565403Z  * [new tag]                 viable/strict/1763394661    -> viable/strict/1763394661
2025-12-04T09:19:58.9567445Z  * [new tag]                 viable/strict/1763396797    -> viable/strict/1763396797
2025-12-04T09:19:58.9569482Z  * [new tag]                 viable/strict/1763398542    -> viable/strict/1763398542
2025-12-04T09:19:58.9571398Z  * [new tag]                 viable/strict/1763401807    -> viable/strict/1763401807
2025-12-04T09:19:58.9573310Z  * [new tag]                 viable/strict/1763414698    -> viable/strict/1763414698
2025-12-04T09:19:58.9575156Z  * [new tag]                 viable/strict/1763419807    -> viable/strict/1763419807
2025-12-04T09:19:58.9577066Z  * [new tag]                 viable/strict/1763426369    -> viable/strict/1763426369
2025-12-04T09:19:58.9579022Z  * [new tag]                 viable/strict/1763428331    -> viable/strict/1763428331
2025-12-04T09:19:58.9581412Z  * [new tag]                 viable/strict/1763430922    -> viable/strict/1763430922
2025-12-04T09:19:58.9583228Z  * [new tag]                 viable/strict/1763434184    -> viable/strict/1763434184
2025-12-04T09:19:58.9585317Z  * [new tag]                 viable/strict/1763439973    -> viable/strict/1763439973
2025-12-04T09:19:58.9587488Z  * [new tag]                 viable/strict/1763444995    -> viable/strict/1763444995
2025-12-04T09:19:58.9589170Z  * [new tag]                 viable/strict/1763447206    -> viable/strict/1763447206
2025-12-04T09:19:58.9591196Z  * [new tag]                 viable/strict/1763448826    -> viable/strict/1763448826
2025-12-04T09:19:58.9593079Z  * [new tag]                 viable/strict/1763450717    -> viable/strict/1763450717
2025-12-04T09:19:58.9595056Z  * [new tag]                 viable/strict/1763452183    -> viable/strict/1763452183
2025-12-04T09:19:58.9597261Z  * [new tag]                 viable/strict/1763457945    -> viable/strict/1763457945
2025-12-04T09:19:58.9598988Z  * [new tag]                 viable/strict/1763459439    -> viable/strict/1763459439
2025-12-04T09:19:58.9600796Z  * [new tag]                 viable/strict/1763461556    -> viable/strict/1763461556
2025-12-04T09:19:58.9602949Z  * [new tag]                 viable/strict/1763463103    -> viable/strict/1763463103
2025-12-04T09:19:58.9607363Z  * [new tag]                 viable/strict/1763465100    -> viable/strict/1763465100
2025-12-04T09:19:58.9609194Z  * [new tag]                 viable/strict/1763468866    -> viable/strict/1763468866
2025-12-04T09:19:58.9610898Z  * [new tag]                 viable/strict/1763493823    -> viable/strict/1763493823
2025-12-04T09:19:58.9612770Z  * [new tag]                 viable/strict/1763496249    -> viable/strict/1763496249
2025-12-04T09:19:58.9614753Z  * [new tag]                 viable/strict/1763502620    -> viable/strict/1763502620
2025-12-04T09:19:58.9616710Z  * [new tag]                 viable/strict/1763504715    -> viable/strict/1763504715
2025-12-04T09:19:58.9618670Z  * [new tag]                 viable/strict/1763506208    -> viable/strict/1763506208
2025-12-04T09:19:58.9620522Z  * [new tag]                 viable/strict/1763520590    -> viable/strict/1763520590
2025-12-04T09:19:58.9622399Z  * [new tag]                 viable/strict/1763523357    -> viable/strict/1763523357
2025-12-04T09:19:58.9624383Z  * [new tag]                 viable/strict/1763529922    -> viable/strict/1763529922
2025-12-04T09:19:58.9626597Z  * [new tag]                 viable/strict/1763531408    -> viable/strict/1763531408
2025-12-04T09:19:58.9628433Z  * [new tag]                 viable/strict/1763533622    -> viable/strict/1763533622
2025-12-04T09:19:58.9630468Z  * [new tag]                 viable/strict/1763538576    -> viable/strict/1763538576
2025-12-04T09:19:58.9632313Z  * [new tag]                 viable/strict/1763545823    -> viable/strict/1763545823
2025-12-04T09:19:58.9634027Z  * [new tag]                 viable/strict/1763547951    -> viable/strict/1763547951
2025-12-04T09:19:58.9636010Z  * [new tag]                 viable/strict/1763551477    -> viable/strict/1763551477
2025-12-04T09:19:58.9637860Z  * [new tag]                 viable/strict/1763552982    -> viable/strict/1763552982
2025-12-04T09:19:58.9639901Z  * [new tag]                 viable/strict/1763594698    -> viable/strict/1763594698
2025-12-04T09:19:58.9641692Z  * [new tag]                 viable/strict/1763596178    -> viable/strict/1763596178
2025-12-04T09:19:58.9643625Z  * [new tag]                 viable/strict/1763599155    -> viable/strict/1763599155
2025-12-04T09:19:58.9645554Z  * [new tag]                 viable/strict/1763603717    -> viable/strict/1763603717
2025-12-04T09:19:58.9647407Z  * [new tag]                 viable/strict/1763606923    -> viable/strict/1763606923
2025-12-04T09:19:58.9649256Z  * [new tag]                 viable/strict/1763609715    -> viable/strict/1763609715
2025-12-04T09:19:58.9651264Z  * [new tag]                 viable/strict/1763612757    -> viable/strict/1763612757
2025-12-04T09:19:58.9653112Z  * [new tag]                 viable/strict/1763616325    -> viable/strict/1763616325
2025-12-04T09:19:58.9654995Z  * [new tag]                 viable/strict/1763623509    -> viable/strict/1763623509
2025-12-04T09:19:58.9657070Z  * [new tag]                 viable/strict/1763624984    -> viable/strict/1763624984
2025-12-04T09:19:58.9659085Z  * [new tag]                 viable/strict/1763628796    -> viable/strict/1763628796
2025-12-04T09:19:58.9660906Z  * [new tag]                 viable/strict/1763634343    -> viable/strict/1763634343
2025-12-04T09:19:58.9662662Z  * [new tag]                 viable/strict/1763635867    -> viable/strict/1763635867
2025-12-04T09:19:58.9664668Z  * [new tag]                 viable/strict/1763639382    -> viable/strict/1763639382
2025-12-04T09:19:58.9666753Z  * [new tag]                 viable/strict/1763646626    -> viable/strict/1763646626
2025-12-04T09:19:58.9668725Z  * [new tag]                 viable/strict/1763655997    -> viable/strict/1763655997
2025-12-04T09:19:58.9670686Z  * [new tag]                 viable/strict/1763659444    -> viable/strict/1763659444
2025-12-04T09:19:58.9672577Z  * [new tag]                 viable/strict/1763660992    -> viable/strict/1763660992
2025-12-04T09:19:58.9674686Z  * [new tag]                 viable/strict/1763663201    -> viable/strict/1763663201
2025-12-04T09:19:58.9676525Z  * [new tag]                 viable/strict/1763670362    -> viable/strict/1763670362
2025-12-04T09:19:58.9678250Z  * [new tag]                 viable/strict/1763675378    -> viable/strict/1763675378
2025-12-04T09:19:58.9680133Z  * [new tag]                 viable/strict/1763693343    -> viable/strict/1763693343
2025-12-04T09:19:58.9682117Z  * [new tag]                 viable/strict/1763696088    -> viable/strict/1763696088
2025-12-04T09:19:58.9684262Z  * [new tag]                 viable/strict/1763697343    -> viable/strict/1763697343
2025-12-04T09:19:58.9686023Z  * [new tag]                 viable/strict/1763699165    -> viable/strict/1763699165
2025-12-04T09:19:58.9687992Z  * [new tag]                 viable/strict/1763700660    -> viable/strict/1763700660
2025-12-04T09:19:58.9689730Z  * [new tag]                 viable/strict/1763704209    -> viable/strict/1763704209
2025-12-04T09:19:58.9691660Z  * [new tag]                 viable/strict/1763706411    -> viable/strict/1763706411
2025-12-04T09:19:58.9693641Z  * [new tag]                 viable/strict/1763708082    -> viable/strict/1763708082
2025-12-04T09:19:58.9695405Z  * [new tag]                 viable/strict/1763711381    -> viable/strict/1763711381
2025-12-04T09:19:58.9697143Z  * [new tag]                 viable/strict/1763713593    -> viable/strict/1763713593
2025-12-04T09:19:58.9699083Z  * [new tag]                 viable/strict/1763715201    -> viable/strict/1763715201
2025-12-04T09:19:58.9700914Z  * [new tag]                 viable/strict/1763733017    -> viable/strict/1763733017
2025-12-04T09:19:58.9703355Z  * [new tag]                 viable/strict/1763735108    -> viable/strict/1763735108
2025-12-04T09:19:58.9705079Z  * [new tag]                 viable/strict/1763749579    -> viable/strict/1763749579
2025-12-04T09:19:58.9707605Z  * [new tag]                 viable/strict/1763751113    -> viable/strict/1763751113
2025-12-04T09:19:58.9709424Z  * [new tag]                 viable/strict/1763753035    -> viable/strict/1763753035
2025-12-04T09:19:58.9711552Z  * [new tag]                 viable/strict/1763754578    -> viable/strict/1763754578
2025-12-04T09:19:58.9713371Z  * [new tag]                 viable/strict/1763756748    -> viable/strict/1763756748
2025-12-04T09:19:58.9715499Z  * [new tag]                 viable/strict/1763758205    -> viable/strict/1763758205
2025-12-04T09:19:58.9717042Z  * [new tag]                 viable/strict/1763764050    -> viable/strict/1763764050
2025-12-04T09:19:58.9718960Z  * [new tag]                 viable/strict/1763771887    -> viable/strict/1763771887
2025-12-04T09:19:58.9721162Z  * [new tag]                 viable/strict/1763773920    -> viable/strict/1763773920
2025-12-04T09:19:58.9723112Z  * [new tag]                 viable/strict/1763776501    -> viable/strict/1763776501
2025-12-04T09:19:58.9725132Z  * [new tag]                 viable/strict/1763779437    -> viable/strict/1763779437
2025-12-04T09:19:58.9727084Z  * [new tag]                 viable/strict/1763781038    -> viable/strict/1763781038
2025-12-04T09:19:58.9729074Z  * [new tag]                 viable/strict/1763782245    -> viable/strict/1763782245
2025-12-04T09:19:58.9730820Z  * [new tag]                 viable/strict/1763785568    -> viable/strict/1763785568
2025-12-04T09:19:58.9732635Z  * [new tag]                 viable/strict/1763787006    -> viable/strict/1763787006
2025-12-04T09:19:58.9734789Z  * [new tag]                 viable/strict/1763789103    -> viable/strict/1763789103
2025-12-04T09:19:58.9736662Z  * [new tag]                 viable/strict/1763790578    -> viable/strict/1763790578
2025-12-04T09:19:58.9738552Z  * [new tag]                 viable/strict/1763796275    -> viable/strict/1763796275
2025-12-04T09:19:58.9740735Z  * [new tag]                 viable/strict/1763801465    -> viable/strict/1763801465
2025-12-04T09:19:58.9742656Z  * [new tag]                 viable/strict/1763803522    -> viable/strict/1763803522
2025-12-04T09:19:58.9744453Z  * [new tag]                 viable/strict/1763808581    -> viable/strict/1763808581
2025-12-04T09:19:58.9746688Z  * [new tag]                 viable/strict/1763840977    -> viable/strict/1763840977
2025-12-04T09:19:58.9748566Z  * [new tag]                 viable/strict/1763846659    -> viable/strict/1763846659
2025-12-04T09:19:58.9750335Z  * [new tag]                 viable/strict/1763872065    -> viable/strict/1763872065
2025-12-04T09:19:58.9752426Z  * [new tag]                 viable/strict/1763873648    -> viable/strict/1763873648
2025-12-04T09:19:58.9754282Z  * [new tag]                 viable/strict/1763875506    -> viable/strict/1763875506
2025-12-04T09:19:58.9756199Z  * [new tag]                 viable/strict/1763889904    -> viable/strict/1763889904
2025-12-04T09:19:58.9758047Z  * [new tag]                 viable/strict/1763930999    -> viable/strict/1763930999
2025-12-04T09:19:58.9759926Z  * [new tag]                 viable/strict/1763944964    -> viable/strict/1763944964
2025-12-04T09:19:58.9761738Z  * [new tag]                 viable/strict/1763958474    -> viable/strict/1763958474
2025-12-04T09:19:58.9763661Z  * [new tag]                 viable/strict/1763967263    -> viable/strict/1763967263
2025-12-04T09:19:58.9765711Z  * [new tag]                 viable/strict/1763972803    -> viable/strict/1763972803
2025-12-04T09:19:58.9767429Z  * [new tag]                 viable/strict/1763976376    -> viable/strict/1763976376
2025-12-04T09:19:58.9769507Z  * [new tag]                 viable/strict/1763989404    -> viable/strict/1763989404
2025-12-04T09:19:58.9771231Z  * [new tag]                 viable/strict/1763990887    -> viable/strict/1763990887
2025-12-04T09:19:58.9773167Z  * [new tag]                 viable/strict/1764019919    -> viable/strict/1764019919
2025-12-04T09:19:58.9775204Z  * [new tag]                 viable/strict/1764023134    -> viable/strict/1764023134
2025-12-04T09:19:58.9776987Z  * [new tag]                 viable/strict/1764024593    -> viable/strict/1764024593
2025-12-04T09:19:58.9778826Z  * [new tag]                 viable/strict/1764026706    -> viable/strict/1764026706
2025-12-04T09:19:58.9780955Z  * [new tag]                 viable/strict/1764031139    -> viable/strict/1764031139
2025-12-04T09:19:58.9783292Z  * [new tag]                 viable/strict/1764033131    -> viable/strict/1764033131
2025-12-04T09:19:58.9784934Z  * [new tag]                 viable/strict/1764035725    -> viable/strict/1764035725
2025-12-04T09:19:58.9786764Z  * [new tag]                 viable/strict/1764624265    -> viable/strict/1764624265
2025-12-04T09:19:58.9788707Z  * [new tag]                 viable/strict/1764631514    -> viable/strict/1764631514
2025-12-04T09:19:58.9790283Z  * [new tag]                 viable/strict/1764632987    -> viable/strict/1764632987
2025-12-04T09:19:58.9792049Z  * [new tag]                 viable/strict/1764636063    -> viable/strict/1764636063
2025-12-04T09:19:58.9793762Z  * [new tag]                 viable/strict/1764643975    -> viable/strict/1764643975
2025-12-04T09:19:58.9795533Z  * [new tag]                 viable/strict/1764646859    -> viable/strict/1764646859
2025-12-04T09:19:58.9797624Z  * [new tag]                 viable/strict/1764653120    -> viable/strict/1764653120
2025-12-04T09:19:58.9799102Z  * [new tag]                 viable/strict/1764654632    -> viable/strict/1764654632
2025-12-04T09:19:58.9800940Z  * [new tag]                 viable/strict/1764656821    -> viable/strict/1764656821
2025-12-04T09:19:58.9802878Z  * [new tag]                 viable/strict/1764658557    -> viable/strict/1764658557
2025-12-04T09:19:58.9806051Z  * [new tag]                 viable/strict/1764660333    -> viable/strict/1764660333
2025-12-04T09:19:58.9807862Z  * [new tag]                 viable/strict/1764661812    -> viable/strict/1764661812
2025-12-04T09:19:58.9809634Z  * [new tag]                 viable/strict/1764664023    -> viable/strict/1764664023
2025-12-04T09:19:58.9811245Z  * [new tag]                 viable/strict/1764669150    -> viable/strict/1764669150
2025-12-04T09:19:58.9812993Z  * [new tag]                 viable/strict/1764680709    -> viable/strict/1764680709
2025-12-04T09:19:58.9814806Z  * [new tag]                 viable/strict/1764687619    -> viable/strict/1764687619
2025-12-04T09:19:58.9816432Z  * [new tag]                 viable/strict/1764696355    -> viable/strict/1764696355
2025-12-04T09:19:58.9818053Z  * [new tag]                 viable/strict/1764701767    -> viable/strict/1764701767
2025-12-04T09:19:58.9819892Z  * [new tag]                 viable/strict/1764710768    -> viable/strict/1764710768
2025-12-04T09:19:58.9821682Z  * [new tag]                 viable/strict/1764716202    -> viable/strict/1764716202
2025-12-04T09:19:58.9823339Z  * [new tag]                 viable/strict/1764793566    -> viable/strict/1764793566
2025-12-04T09:19:58.9825259Z  * [new tag]                 viable/strict/1764797093    -> viable/strict/1764797093
2025-12-04T09:19:58.9827319Z  * [new tag]                 viable/strict/1764800729    -> viable/strict/1764800729
2025-12-04T09:19:58.9829028Z  * [new tag]                 whc_flight_1                -> whc_flight_1
2025-12-04T09:19:58.9830966Z  * [new tag]                 whc_flight_2                -> whc_flight_2
2025-12-04T09:19:58.9832910Z  * [new tag]                 whc_flight_4                -> whc_flight_4
2025-12-04T09:19:59.1019676Z [command]/usr/bin/git rev-parse --verify --quiet ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32^{object}
2025-12-04T09:19:59.1051600Z ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T09:19:59.1057754Z ##[endgroup]
2025-12-04T09:19:59.1058299Z ##[group]Determining the checkout info
2025-12-04T09:19:59.1059328Z ##[endgroup]
2025-12-04T09:19:59.1063452Z [command]/usr/bin/git sparse-checkout disable
2025-12-04T09:19:59.1108468Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig
2025-12-04T09:19:59.1150337Z ##[group]Checking out the ref
2025-12-04T09:19:59.1150844Z [command]/usr/bin/git checkout --progress --force ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T09:20:00.1446909Z Updating files:  64% (12955/20121)
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2025-12-04T09:20:00.8823458Z Updating files: 100% (20121/20121), done.
2025-12-04T09:20:00.9109365Z Note: switching to 'ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32'.
2025-12-04T09:20:00.9109783Z 
2025-12-04T09:20:00.9110001Z You are in 'detached HEAD' state. You can look around, make experimental
2025-12-04T09:20:00.9110499Z changes and commit them, and you can discard any commits you make in this
2025-12-04T09:20:00.9111001Z state without impacting any branches by switching back to a branch.
2025-12-04T09:20:00.9111301Z 
2025-12-04T09:20:00.9111495Z If you want to create a new branch to retain commits you create, you may
2025-12-04T09:20:00.9111968Z do so (now or later) by using -c with the switch command. Example:
2025-12-04T09:20:00.9112234Z 
2025-12-04T09:20:00.9112349Z   git switch -c <new-branch-name>
2025-12-04T09:20:00.9112569Z 
2025-12-04T09:20:00.9112672Z Or undo this operation with:
2025-12-04T09:20:00.9112843Z 
2025-12-04T09:20:00.9112941Z   git switch -
2025-12-04T09:20:00.9113064Z 
2025-12-04T09:20:00.9113297Z Turn off this advice by setting config variable advice.detachedHead to false
2025-12-04T09:20:00.9113871Z 
2025-12-04T09:20:00.9115749Z HEAD is now at ffd9b0fb435 Resolve collective autotuning test failure on arm (#168919)
2025-12-04T09:20:00.9298688Z ##[endgroup]
2025-12-04T09:20:00.9299095Z ##[group]Setting up auth for fetching submodules
2025-12-04T09:20:00.9305471Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic ***
2025-12-04T09:20:00.9371624Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf
2025-12-04T09:20:00.9406789Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com:
2025-12-04T09:20:00.9440641Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com:
2025-12-04T09:20:00.9472642Z ##[endgroup]
2025-12-04T09:20:00.9473011Z ##[group]Fetching submodules
2025-12-04T09:20:00.9476693Z [command]/usr/bin/git submodule sync --recursive
2025-12-04T09:20:00.9886523Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive
2025-12-04T09:20:01.0295658Z Submodule 'android/libs/fbjni' (https://github.com/facebookincubator/fbjni.git) registered for path 'android/libs/fbjni'
2025-12-04T09:20:01.0297825Z Submodule 'third_party/NNPACK_deps/FP16' (https://github.com/Maratyszcza/FP16.git) registered for path 'third_party/FP16'
2025-12-04T09:20:01.0301651Z Submodule 'third_party/NNPACK_deps/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'third_party/FXdiv'
2025-12-04T09:20:01.0306345Z Submodule 'third_party/NNPACK' (https://github.com/Maratyszcza/NNPACK.git) registered for path 'third_party/NNPACK'
2025-12-04T09:20:01.0310463Z Submodule 'third_party/NVTX' (https://github.com/NVIDIA/NVTX.git) registered for path 'third_party/NVTX'
2025-12-04T09:20:01.0314551Z Submodule 'third_party/VulkanMemoryAllocator' (https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator.git) registered for path 'third_party/VulkanMemoryAllocator'
2025-12-04T09:20:01.0318379Z Submodule 'third_party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'third_party/XNNPACK'
2025-12-04T09:20:01.0322700Z Submodule 'third_party/aiter' (https://github.com/ROCm/aiter.git) registered for path 'third_party/aiter'
2025-12-04T09:20:01.0327063Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/benchmark'
2025-12-04T09:20:01.0331673Z Submodule 'third_party/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/composable_kernel'
2025-12-04T09:20:01.0336098Z Submodule 'third_party/cpp-httplib' (https://github.com/yhirose/cpp-httplib.git) registered for path 'third_party/cpp-httplib'
2025-12-04T09:20:01.0340625Z Submodule 'third_party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'third_party/cpuinfo'
2025-12-04T09:20:01.0345322Z Submodule 'third_party/cudnn_frontend' (https://github.com/NVIDIA/cudnn-frontend.git) registered for path 'third_party/cudnn_frontend'
2025-12-04T09:20:01.0350149Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/cutlass'
2025-12-04T09:20:01.0354809Z Submodule 'third_party/fbgemm' (https://github.com/pytorch/fbgemm) registered for path 'third_party/fbgemm'
2025-12-04T09:20:01.0360888Z Submodule 'third_party/flash-attention' (https://github.com/Dao-AILab/flash-attention.git) registered for path 'third_party/flash-attention'
2025-12-04T09:20:01.0369259Z Submodule 'third_party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'third_party/flatbuffers'
2025-12-04T09:20:01.0374157Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/fmt'
2025-12-04T09:20:01.0379395Z Submodule 'third_party/gemmlowp/gemmlowp' (https://github.com/google/gemmlowp.git) registered for path 'third_party/gemmlowp/gemmlowp'
2025-12-04T09:20:01.0384367Z Submodule 'third_party/gloo' (https://github.com/pytorch/gloo) registered for path 'third_party/gloo'
2025-12-04T09:20:01.0389783Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest'
2025-12-04T09:20:01.0394872Z Submodule 'third_party/ideep' (https://github.com/intel/ideep) registered for path 'third_party/ideep'
2025-12-04T09:20:01.0400398Z Submodule 'third_party/ittapi' (https://github.com/intel/ittapi.git) registered for path 'third_party/ittapi'
2025-12-04T09:20:01.0408153Z Submodule 'third_party/kineto' (https://github.com/pytorch/kineto) registered for path 'third_party/kineto'
2025-12-04T09:20:01.0411649Z Submodule 'third_party/kleidiai' (https://github.com/ARM-software/kleidiai.git) registered for path 'third_party/kleidiai'
2025-12-04T09:20:01.0417067Z Submodule 'third_party/mimalloc' (https://github.com/microsoft/mimalloc.git) registered for path 'third_party/mimalloc'
2025-12-04T09:20:01.0422608Z Submodule 'third_party/nlohmann' (https://github.com/nlohmann/json.git) registered for path 'third_party/nlohmann'
2025-12-04T09:20:01.0428495Z Submodule 'third_party/onnx' (https://github.com/onnx/onnx.git) registered for path 'third_party/onnx'
2025-12-04T09:20:01.0434544Z Submodule 'third_party/opentelemetry-cpp' (https://github.com/open-telemetry/opentelemetry-cpp.git) registered for path 'third_party/opentelemetry-cpp'
2025-12-04T09:20:01.0440178Z Submodule 'third_party/pocketfft' (https://github.com/mreineck/pocketfft) registered for path 'third_party/pocketfft'
2025-12-04T09:20:01.0446147Z Submodule 'third_party/protobuf' (https://github.com/protocolbuffers/protobuf.git) registered for path 'third_party/protobuf'
2025-12-04T09:20:01.0452088Z Submodule 'third_party/NNPACK_deps/psimd' (https://github.com/Maratyszcza/psimd.git) registered for path 'third_party/psimd'
2025-12-04T09:20:01.0458394Z Submodule 'third_party/NNPACK_deps/pthreadpool' (https://github.com/Maratyszcza/pthreadpool.git) registered for path 'third_party/pthreadpool'
2025-12-04T09:20:01.0467925Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/pybind11'
2025-12-04T09:20:01.0474142Z Submodule 'third_party/python-peachpy' (https://github.com/malfet/PeachPy.git) registered for path 'third_party/python-peachpy'
2025-12-04T09:20:01.0480362Z Submodule 'third_party/sleef' (https://github.com/shibatch/sleef) registered for path 'third_party/sleef'
2025-12-04T09:20:01.0486768Z Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe.git) registered for path 'third_party/tensorpipe'
2025-12-04T09:20:01.0528018Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/android/libs/fbjni'...
2025-12-04T09:20:01.3329539Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FXdiv'...
2025-12-04T09:20:01.3330522Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FP16'...
2025-12-04T09:20:01.3367827Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fmt'...
2025-12-04T09:20:04.3995723Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NNPACK'...
2025-12-04T09:20:04.3996819Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/benchmark'...
2025-12-04T09:20:04.3997946Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NVTX'...
2025-12-04T09:20:04.3999039Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gloo'...
2025-12-04T09:20:04.4000064Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gemmlowp/gemmlowp'...
2025-12-04T09:20:04.4001463Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention'...
2025-12-04T09:20:04.4003075Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpuinfo'...
2025-12-04T09:20:04.4004293Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpp-httplib'...
2025-12-04T09:20:04.4005380Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep'...
2025-12-04T09:20:04.4006882Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ittapi'...
2025-12-04T09:20:04.4007990Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kleidiai'...
2025-12-04T09:20:04.4009182Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pocketfft'...
2025-12-04T09:20:04.4010373Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cudnn_frontend'...
2025-12-04T09:20:04.4011609Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/psimd'...
2025-12-04T09:20:04.4012769Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/googletest'...
2025-12-04T09:20:04.4013951Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/mimalloc'...
2025-12-04T09:20:04.4015068Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pthreadpool'...
2025-12-04T09:20:04.4016822Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/VulkanMemoryAllocator'...
2025-12-04T09:20:04.4997305Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flatbuffers'...
2025-12-04T09:20:04.7636822Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/python-peachpy'...
2025-12-04T09:20:04.8651227Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp'...
2025-12-04T09:20:19.2156240Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe'...
2025-12-04T09:20:19.2157520Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto'...
2025-12-04T09:20:19.2158984Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/sleef'...
2025-12-04T09:20:19.2160130Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pybind11'...
2025-12-04T09:20:19.2161279Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cutlass'...
2025-12-04T09:20:19.2162424Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm'...
2025-12-04T09:20:19.2163519Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx'...
2025-12-04T09:20:19.2164697Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/composable_kernel'...
2025-12-04T09:20:19.2165889Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/nlohmann'...
2025-12-04T09:20:19.3157997Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/XNNPACK'...
2025-12-04T09:20:25.4908155Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter'...
2025-12-04T09:20:25.4908854Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf'...
2025-12-04T09:20:25.5128850Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f'
2025-12-04T09:20:25.5301054Z Submodule path 'third_party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3'
2025-12-04T09:20:25.5441938Z Submodule path 'third_party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1'
2025-12-04T09:20:25.5793194Z Submodule path 'third_party/NNPACK': checked out 'c07e3a0400713d546e0dea2d5466dd22ea389c73'
2025-12-04T09:20:25.6890663Z Submodule path 'third_party/NVTX': checked out '3ebbc93ded7285963bff932c678fa367eb393ba6'
2025-12-04T09:20:25.7567923Z Submodule path 'third_party/VulkanMemoryAllocator': checked out '1d8f600fd424278486eade7ed3e877c99f0846b1'
2025-12-04T09:20:26.7517265Z Submodule path 'third_party/XNNPACK': checked out '51a0103656eff6fc9bfd39a4597923c4b542c883'
2025-12-04T09:20:26.9796436Z Submodule path 'third_party/aiter': checked out '01aae101b9e5e94d6c16a9514c9fb8df99c93150'
2025-12-04T09:20:26.9825074Z Submodule '3rdparty/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/aiter/3rdparty/composable_kernel'
2025-12-04T09:20:26.9859731Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter/3rdparty/composable_kernel'...
2025-12-04T09:20:32.3700879Z Submodule path 'third_party/aiter/3rdparty/composable_kernel': checked out 'cffe8fa2a442ac8e80dd236a1a5d24fe3d7e0cbf'
2025-12-04T09:20:32.4025670Z Submodule path 'third_party/benchmark': checked out '299e5928955cc62af9968370293b916f5130916f'
2025-12-04T09:20:32.8801211Z Submodule path 'third_party/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977'
2025-12-04T09:20:32.9432720Z Submodule path 'third_party/cpp-httplib': checked out '89c932f313c6437c38f2982869beacc89c2f2246'
2025-12-04T09:20:33.0613660Z Submodule path 'third_party/cpuinfo': checked out 'f858c30bcb16f8effd5ff46996f0514539e17abc'
2025-12-04T09:20:33.1224613Z Submodule path 'third_party/cudnn_frontend': checked out '0b1577c8c83401237d601d0d0db5210506705396'
2025-12-04T09:20:33.9625906Z Submodule path 'third_party/cutlass': checked out 'f88806b1e31dfa579842638740216dd41fc6c588'
2025-12-04T09:20:34.1670034Z Submodule path 'third_party/fbgemm': checked out 'c0b988d39a9e47c794d699f29930ed4d7c7e13a4'
2025-12-04T09:20:34.1699908Z Submodule 'external/asmjit' (https://github.com/asmjit/asmjit.git) registered for path 'third_party/fbgemm/external/asmjit'
2025-12-04T09:20:34.1703561Z Submodule 'external/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/fbgemm/external/composable_kernel'
2025-12-04T09:20:34.1707517Z Submodule 'external/cpuinfo' (https://github.com/pytorch/cpuinfo) registered for path 'third_party/fbgemm/external/cpuinfo'
2025-12-04T09:20:34.1711568Z Submodule 'external/cutlass' (https://github.com/jwfromm/cutlass) registered for path 'third_party/fbgemm/external/cutlass'
2025-12-04T09:20:34.1716125Z Submodule 'external/googletest' (https://github.com/google/googletest) registered for path 'third_party/fbgemm/external/googletest'
2025-12-04T09:20:34.1722796Z Submodule 'external/hipify_torch' (https://github.com/ROCmSoftwarePlatform/hipify_torch.git) registered for path 'third_party/fbgemm/external/hipify_torch'
2025-12-04T09:20:34.1727311Z Submodule 'external/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/fbgemm/external/json'
2025-12-04T09:20:34.1765741Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/asmjit'...
2025-12-04T09:20:35.5253886Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/hipify_torch'...
2025-12-04T09:20:35.5254799Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cpuinfo'...
2025-12-04T09:20:35.5255726Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/googletest'...
2025-12-04T09:20:35.6254990Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/composable_kernel'...
2025-12-04T09:20:39.1917873Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cutlass'...
2025-12-04T09:20:39.2920459Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/json'...
2025-12-04T09:20:41.9175996Z Submodule path 'third_party/fbgemm/external/asmjit': checked out 'a3199e8857792cd10b7589ff5d58343d2c9008ea'
2025-12-04T09:20:42.3993291Z Submodule path 'third_party/fbgemm/external/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977'
2025-12-04T09:20:42.5199885Z Submodule path 'third_party/fbgemm/external/cpuinfo': checked out '6543fec09b2f04ac4a666882998b534afc9c1349'
2025-12-04T09:20:43.3421721Z Submodule path 'third_party/fbgemm/external/cutlass': checked out '98125ce499b0fdf7ffbe0e3052f5b8709f4840f8'
2025-12-04T09:20:43.3990524Z Submodule path 'third_party/fbgemm/external/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723'
2025-12-04T09:20:43.4153727Z Submodule path 'third_party/fbgemm/external/hipify_torch': checked out '63b6a7b541fa7f08f8475ca7d74054db36ff2691'
2025-12-04T09:20:43.5504676Z Submodule path 'third_party/fbgemm/external/json': checked out '9cca280a4d0ccf0c08f47a99aa71d1b0e52f8d03'
2025-12-04T09:20:43.6461687Z Submodule path 'third_party/flash-attention': checked out '979702c87a8713a8e0a5e9fee122b90d2ef13be5'
2025-12-04T09:20:43.6486480Z Submodule 'csrc/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/flash-attention/csrc/composable_kernel'
2025-12-04T09:20:43.6489590Z Submodule 'csrc/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/flash-attention/csrc/cutlass'
2025-12-04T09:20:43.6523636Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/composable_kernel'...
2025-12-04T09:20:48.4819919Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/cutlass'...
2025-12-04T09:20:48.8195521Z Submodule path 'third_party/flash-attention/csrc/composable_kernel': checked out '888317e698e9803c62bd38568abc9e05d7709f33'
2025-12-04T09:20:49.5526624Z Submodule path 'third_party/flash-attention/csrc/cutlass': checked out 'c506e16788cb08416a4a57e11a9067beeee29420'
2025-12-04T09:20:49.7448934Z Submodule path 'third_party/flatbuffers': checked out 'a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757'
2025-12-04T09:20:49.7833888Z Submodule path 'third_party/fmt': checked out '407c905e45ad75fc29bf0f9bb7c5c2fd3475976f'
2025-12-04T09:20:49.8333030Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350'
2025-12-04T09:20:49.8693129Z Submodule path 'third_party/gloo': checked out '54cbae0d3a67fa890b4c3d9ee162b7860315e341'
2025-12-04T09:20:49.9260731Z Submodule path 'third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723'
2025-12-04T09:20:49.9442166Z Submodule path 'third_party/ideep': checked out '719d8e6cd7f7a0e01b155657526d693acf97c2b3'
2025-12-04T09:20:49.9466933Z Submodule 'mkl-dnn' (https://github.com/intel/mkl-dnn.git) registered for path 'third_party/ideep/mkl-dnn'
2025-12-04T09:20:49.9500591Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep/mkl-dnn'...
2025-12-04T09:21:07.4220127Z Submodule path 'third_party/ideep/mkl-dnn': checked out '8d263e693366ef8db40acc569cc7d8edf644556d'
2025-12-04T09:21:07.4510573Z Submodule path 'third_party/ittapi': checked out 'dec1d23ca65ab069d225dfe40dea14f455170959'
2025-12-04T09:21:07.5531756Z Submodule path 'third_party/kineto': checked out '31f85df8fbd89c188f14ef10f1ec65379786b943'
2025-12-04T09:21:07.5558726Z Submodule 'libkineto/third_party/dynolog' (https://github.com/facebookincubator/dynolog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog'
2025-12-04T09:21:07.5561600Z Submodule 'libkineto/third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/fmt'
2025-12-04T09:21:07.5565563Z Submodule 'libkineto/third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/googletest'
2025-12-04T09:21:07.5601109Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog'...
2025-12-04T09:21:08.2805093Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/fmt'...
2025-12-04T09:21:08.9655896Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/googletest'...
2025-12-04T09:21:09.0754161Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out 'd2ffe0a4e3acace628db49974246b66fc3e85fb1'
2025-12-04T09:21:09.0777981Z Submodule 'third_party/DCGM' (https://github.com/NVIDIA/DCGM.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-12-04T09:21:09.0782967Z Submodule 'third_party/cpr' (https://github.com/libcpr/cpr.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-12-04T09:21:09.0786691Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-12-04T09:21:09.0790335Z Submodule 'third_party/gflags' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-12-04T09:21:09.0794481Z Submodule 'third_party/glog' (https://github.com/google/glog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-12-04T09:21:09.0799010Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-12-04T09:21:09.0803779Z Submodule 'third_party/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-12-04T09:21:09.0808302Z Submodule 'third_party/pfs' (https://github.com/dtrugman/pfs.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-12-04T09:21:09.0813114Z Submodule 'third_party/prometheus-cpp' (https://github.com/jupp0r/prometheus-cpp.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp'
2025-12-04T09:21:09.0848265Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'...
2025-12-04T09:21:10.9356043Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'...
2025-12-04T09:21:10.9357416Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp'...
2025-12-04T09:21:10.9358511Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'...
2025-12-04T09:21:10.9359526Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'...
2025-12-04T09:21:10.9362759Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/glog'...
2025-12-04T09:21:10.9363903Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'...
2025-12-04T09:21:10.9365160Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'...
2025-12-04T09:21:11.0357381Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/json'...
2025-12-04T09:21:17.1637961Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9'
2025-12-04T09:21:17.1899542Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400'
2025-12-04T09:21:17.2365647Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05'
2025-12-04T09:21:17.2556938Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067'
2025-12-04T09:21:17.2580171Z Submodule 'doc' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-12-04T09:21:17.2615951Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'...
2025-12-04T09:21:17.5627753Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc': checked out '8411df715cf522606e3b1aca386ddfc0b63d34b4'
2025-12-04T09:21:17.5883882Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog': checked out 'b33e3bad4c46c8a6345525fd822af355e5ef9446'
2025-12-04T09:21:17.6464810Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723'
2025-12-04T09:21:17.7754665Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json': checked out '4f8fba14066156b73f1189a2b8bd568bde5284c5'
2025-12-04T09:21:17.7987129Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs': checked out 'f68a2fa8ea36c783bdd760371411fcb495aa3150'
2025-12-04T09:21:17.8236632Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp': checked out 'b1234816facfdda29845c46696a02998a4af115a'
2025-12-04T09:21:17.8261142Z Submodule 'civetweb' (https://github.com/civetweb/civetweb.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb'
2025-12-04T09:21:17.8264620Z Submodule 'googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest'
2025-12-04T09:21:17.8299929Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb'...
2025-12-04T09:21:20.1134579Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest'...
2025-12-04T09:21:20.4090382Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb': checked out 'd7ba35bbb649209c66e582d5a0244ba988a15159'
2025-12-04T09:21:20.4714137Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929'
2025-12-04T09:21:20.5123689Z Submodule path 'third_party/kineto/libkineto/third_party/fmt': checked out '40626af88bd7df9a5fb80be7b25ac85b122d6c21'
2025-12-04T09:21:20.5695238Z Submodule path 'third_party/kineto/libkineto/third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723'
2025-12-04T09:21:20.6435199Z Submodule path 'third_party/kleidiai': checked out 'd7770c89632329a9914ef1a90289917597639cbe'
2025-12-04T09:21:20.6958769Z Submodule path 'third_party/mimalloc': checked out 'fbd8b99c2b828428947d70fdc046bb55609be93e'
2025-12-04T09:21:20.8342418Z Submodule path 'third_party/nlohmann': checked out '55f93686c01528224f448c19128836e7df245f72'
2025-12-04T09:21:21.4795032Z Submodule path 'third_party/onnx': checked out 'e709452ef2bbc1d113faf678c24e6d3467696e83'
2025-12-04T09:21:21.4839817Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/onnx/third_party/pybind11'
2025-12-04T09:21:21.4874673Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx/third_party/pybind11'...
2025-12-04T09:21:22.4553370Z Submodule path 'third_party/onnx/third_party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4'
2025-12-04T09:21:22.5567497Z Submodule path 'third_party/opentelemetry-cpp': checked out 'a799f4aed9c94b765dcdaabaeab7d5e7e2310878'
2025-12-04T09:21:22.5598089Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark) registered for path 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-12-04T09:21:22.5600756Z Submodule 'third_party/googletest' (https://github.com/google/googletest) registered for path 'third_party/opentelemetry-cpp/third_party/googletest'
2025-12-04T09:21:22.5605325Z Submodule 'third_party/ms-gsl' (https://github.com/microsoft/GSL) registered for path 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-12-04T09:21:22.5609345Z Submodule 'third_party/nlohmann-json' (https://github.com/nlohmann/json) registered for path 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-12-04T09:21:22.5613479Z Submodule 'third_party/opentelemetry-proto' (https://github.com/open-telemetry/opentelemetry-proto) registered for path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-12-04T09:21:22.5617641Z Submodule 'third_party/opentracing-cpp' (https://github.com/opentracing/opentracing-cpp.git) registered for path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-12-04T09:21:22.5621809Z Submodule 'third_party/prometheus-cpp' (https://github.com/jupp0r/prometheus-cpp) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-12-04T09:21:22.5626033Z Submodule 'tools/vcpkg' (https://github.com/Microsoft/vcpkg) registered for path 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-12-04T09:21:22.5664012Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/benchmark'...
2025-12-04T09:21:23.0288388Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentracing-cpp'...
2025-12-04T09:21:23.0289506Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentelemetry-proto'...
2025-12-04T09:21:23.0290560Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/ms-gsl'...
2025-12-04T09:21:23.0291716Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp'...
2025-12-04T09:21:23.1289560Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/googletest'...
2025-12-04T09:21:23.7601769Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/nlohmann-json'...
2025-12-04T09:21:30.9686812Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/tools/vcpkg'...
2025-12-04T09:21:31.7095650Z Submodule path 'third_party/opentelemetry-cpp/third_party/benchmark': checked out 'd572f4777349d43653b21d6c2fc63020ab326db2'
2025-12-04T09:21:31.7604783Z Submodule path 'third_party/opentelemetry-cpp/third_party/googletest': checked out 'b796f7d44681514f58a683a3a71ff17c94edb0c1'
2025-12-04T09:21:31.7826942Z Submodule path 'third_party/opentelemetry-cpp/third_party/ms-gsl': checked out '6f4529395c5b7c2d661812257cd6780c67e54afa'
2025-12-04T09:21:31.9181733Z Submodule path 'third_party/opentelemetry-cpp/third_party/nlohmann-json': checked out 'bc889afb4c5bf1c0d8ee29ef35eaaf4c8bef8a5d'
2025-12-04T09:21:31.9373633Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto': checked out '4ca4f0335c63cda7ab31ea7ed70d6553aee14dce'
2025-12-04T09:21:31.9583763Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp': checked out '06b57f48ded1fa3bdd3d4346f6ef29e40e08eaf5'
2025-12-04T09:21:31.9811436Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp': checked out 'c9ffcdda9086ffd9e1283ea7a0276d831f3c8a8d'
2025-12-04T09:21:31.9834619Z Submodule 'civetweb' (https://github.com/civetweb/civetweb.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-12-04T09:21:31.9838338Z Submodule 'googletest' (https://github.com/google/googletest.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-12-04T09:21:31.9877314Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'...
2025-12-04T09:21:34.1011182Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'...
2025-12-04T09:21:34.3933810Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb': checked out 'eefb26f82b233268fc98577d265352720d477ba4'
2025-12-04T09:21:34.4504566Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929'
2025-12-04T09:21:35.1727577Z Submodule path 'third_party/opentelemetry-cpp/tools/vcpkg': checked out '8eb57355a4ffb410a2e94c07b4dca2dffbee8e50'
2025-12-04T09:21:35.1894479Z Submodule path 'third_party/pocketfft': checked out '0fa0ef591e38c2758e3184c6c23e497b9f732ffa'
2025-12-04T09:21:35.5288152Z Submodule path 'third_party/protobuf': checked out 'd1eca4e4b421cd2997495c4b4e65cea6be4e9b8a'
2025-12-04T09:21:35.5321315Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/protobuf/third_party/benchmark'
2025-12-04T09:21:35.5324053Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/protobuf/third_party/googletest'
2025-12-04T09:21:35.5358433Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf/third_party/benchmark'...
2025-12-04T09:21:36.0734688Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf/third_party/googletest'...
2025-12-04T09:21:36.5572724Z Submodule path 'third_party/protobuf/third_party/benchmark': checked out '5b7683f49e1e9223cf9927b24f6fd3d6bd82e3f8'
2025-12-04T09:21:36.6444675Z Submodule path 'third_party/protobuf/third_party/googletest': checked out '5ec7f0c4a113e2f18ac2c6cc7df51ad6afc24081'
2025-12-04T09:21:36.6582239Z Submodule path 'third_party/psimd': checked out '072586a71b55b7f8c584153d223e95687148a900'
2025-12-04T09:21:36.6756211Z Submodule path 'third_party/pthreadpool': checked out '4fe0e1e183925bf8cfa6aae24237e724a96479b8'
2025-12-04T09:21:36.7315586Z Submodule path 'third_party/pybind11': checked out 'f5fbe867d2d26e4a0a9177a51f6e568868ad3dc8'
2025-12-04T09:21:36.7688695Z Submodule path 'third_party/python-peachpy': checked out 'f45429b087dd7d5bc78bb40dc7cf06425c252d67'
2025-12-04T09:21:36.8233414Z Submodule path 'third_party/sleef': checked out '5a1d179df9cf652951b59010a2d2075372d67f68'
2025-12-04T09:21:36.8613604Z Submodule path 'third_party/tensorpipe': checked out '2b4cd91092d335a697416b2a3cb398283246849d'
2025-12-04T09:21:36.8639606Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/tensorpipe/third_party/googletest'
2025-12-04T09:21:36.8643026Z Submodule 'third_party/libnop' (https://github.com/google/libnop.git) registered for path 'third_party/tensorpipe/third_party/libnop'
2025-12-04T09:21:36.8646667Z Submodule 'third_party/libuv' (https://github.com/libuv/libuv.git) registered for path 'third_party/tensorpipe/third_party/libuv'
2025-12-04T09:21:36.8650542Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/tensorpipe/third_party/pybind11'
2025-12-04T09:21:36.8688039Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/googletest'...
2025-12-04T09:21:38.0890584Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/libnop'...
2025-12-04T09:21:38.0891471Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/pybind11'...
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2025-12-04T09:21:38.1592118Z Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e'
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2025-12-04T09:21:39.0563401Z ##[endgroup]
2025-12-04T09:21:39.0564226Z ##[group]Persisting credentials for submodules
2025-12-04T09:21:39.0571263Z [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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2025-12-04T09:21:39.7497575Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-12-04T09:21:39.7573745Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-12-04T09:21:39.7681634Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local 'http.https://github.com/.extraheader' 'AUTHORIZATION: basic ***' && git config --local --show-origin --name-only --get-regexp remote.origin.url"
2025-12-04T09:21:39.8082032Z Entering 'android/libs/fbjni'
2025-12-04T09:21:39.8155504Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/android/libs/fbjni/config	remote.origin.url
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2025-12-04T09:21:39.8251727Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FP16/config	remote.origin.url
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2025-12-04T09:21:40.6867453Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'git@github.com:'
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2025-12-04T09:21:40.8495827Z Entering 'third_party/fbgemm/external/cutlass'
2025-12-04T09:21:40.8570463Z Entering 'third_party/fbgemm/external/googletest'
2025-12-04T09:21:40.8633233Z Entering 'third_party/fbgemm/external/hipify_torch'
2025-12-04T09:21:40.8690288Z Entering 'third_party/fbgemm/external/json'
2025-12-04T09:21:40.8755812Z Entering 'third_party/flash-attention'
2025-12-04T09:21:40.8815882Z Entering 'third_party/flash-attention/csrc/composable_kernel'
2025-12-04T09:21:40.8884832Z Entering 'third_party/flash-attention/csrc/cutlass'
2025-12-04T09:21:40.8957034Z Entering 'third_party/flatbuffers'
2025-12-04T09:21:40.9020367Z Entering 'third_party/fmt'
2025-12-04T09:21:40.9082657Z Entering 'third_party/gemmlowp/gemmlowp'
2025-12-04T09:21:40.9142248Z Entering 'third_party/gloo'
2025-12-04T09:21:40.9203215Z Entering 'third_party/googletest'
2025-12-04T09:21:40.9263688Z Entering 'third_party/ideep'
2025-12-04T09:21:40.9327888Z Entering 'third_party/ideep/mkl-dnn'
2025-12-04T09:21:40.9396486Z Entering 'third_party/ittapi'
2025-12-04T09:21:40.9457901Z Entering 'third_party/kineto'
2025-12-04T09:21:40.9517594Z Entering 'third_party/kineto/libkineto/third_party/dynolog'
2025-12-04T09:21:40.9574395Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-12-04T09:21:40.9638994Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-12-04T09:21:40.9700321Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-12-04T09:21:40.9759073Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-12-04T09:21:40.9817675Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-12-04T09:21:40.9884853Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-12-04T09:21:40.9944560Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-12-04T09:21:41.0003847Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-12-04T09:21:41.0064704Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-12-04T09:21:41.0123580Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp'
2025-12-04T09:21:41.0182503Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb'
2025-12-04T09:21:41.0245456Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest'
2025-12-04T09:21:41.0317084Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2025-12-04T09:21:41.0379826Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2025-12-04T09:21:41.0448128Z Entering 'third_party/kleidiai'
2025-12-04T09:21:41.0509765Z Entering 'third_party/mimalloc'
2025-12-04T09:21:41.0570591Z Entering 'third_party/nlohmann'
2025-12-04T09:21:41.0633469Z Entering 'third_party/onnx'
2025-12-04T09:21:41.0712220Z Entering 'third_party/onnx/third_party/pybind11'
2025-12-04T09:21:41.0779302Z Entering 'third_party/opentelemetry-cpp'
2025-12-04T09:21:41.0840561Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-12-04T09:21:41.0900001Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-12-04T09:21:41.0962548Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-12-04T09:21:41.1021363Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-12-04T09:21:41.1085104Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-12-04T09:21:41.1144494Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-12-04T09:21:41.1203807Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-12-04T09:21:41.1259095Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-12-04T09:21:41.1325944Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-12-04T09:21:41.1395249Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-12-04T09:21:41.1480041Z Entering 'third_party/pocketfft'
2025-12-04T09:21:41.1541027Z Entering 'third_party/protobuf'
2025-12-04T09:21:41.1603922Z Entering 'third_party/protobuf/third_party/benchmark'
2025-12-04T09:21:41.1664029Z Entering 'third_party/protobuf/third_party/googletest'
2025-12-04T09:21:41.1729672Z Entering 'third_party/psimd'
2025-12-04T09:21:41.1791343Z Entering 'third_party/pthreadpool'
2025-12-04T09:21:41.1853330Z Entering 'third_party/pybind11'
2025-12-04T09:21:41.1913480Z Entering 'third_party/python-peachpy'
2025-12-04T09:21:41.1973799Z Entering 'third_party/sleef'
2025-12-04T09:21:41.2038015Z Entering 'third_party/tensorpipe'
2025-12-04T09:21:41.2097903Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-12-04T09:21:41.2158075Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-12-04T09:21:41.2216535Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-12-04T09:21:41.2274079Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-12-04T09:21:41.2329076Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-12-04T09:21:41.2418729Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:'
2025-12-04T09:21:41.2822879Z Entering 'android/libs/fbjni'
2025-12-04T09:21:41.2883990Z Entering 'third_party/FP16'
2025-12-04T09:21:41.2944931Z Entering 'third_party/FXdiv'
2025-12-04T09:21:41.3006875Z Entering 'third_party/NNPACK'
2025-12-04T09:21:41.3067639Z Entering 'third_party/NVTX'
2025-12-04T09:21:41.3128748Z Entering 'third_party/VulkanMemoryAllocator'
2025-12-04T09:21:41.3192454Z Entering 'third_party/XNNPACK'
2025-12-04T09:21:41.3269027Z Entering 'third_party/aiter'
2025-12-04T09:21:41.3331556Z Entering 'third_party/aiter/3rdparty/composable_kernel'
2025-12-04T09:21:41.3405674Z Entering 'third_party/benchmark'
2025-12-04T09:21:41.3467278Z Entering 'third_party/composable_kernel'
2025-12-04T09:21:41.3540645Z Entering 'third_party/cpp-httplib'
2025-12-04T09:21:41.3601753Z Entering 'third_party/cpuinfo'
2025-12-04T09:21:41.3664280Z Entering 'third_party/cudnn_frontend'
2025-12-04T09:21:41.3726869Z Entering 'third_party/cutlass'
2025-12-04T09:21:41.3795228Z Entering 'third_party/fbgemm'
2025-12-04T09:21:41.3857374Z Entering 'third_party/fbgemm/external/asmjit'
2025-12-04T09:21:41.3916991Z Entering 'third_party/fbgemm/external/composable_kernel'
2025-12-04T09:21:41.3989439Z Entering 'third_party/fbgemm/external/cpuinfo'
2025-12-04T09:21:41.4048201Z Entering 'third_party/fbgemm/external/cutlass'
2025-12-04T09:21:41.4115801Z Entering 'third_party/fbgemm/external/googletest'
2025-12-04T09:21:41.4172463Z Entering 'third_party/fbgemm/external/hipify_torch'
2025-12-04T09:21:41.4230011Z Entering 'third_party/fbgemm/external/json'
2025-12-04T09:21:41.4294338Z Entering 'third_party/flash-attention'
2025-12-04T09:21:41.4354846Z Entering 'third_party/flash-attention/csrc/composable_kernel'
2025-12-04T09:21:41.4419645Z Entering 'third_party/flash-attention/csrc/cutlass'
2025-12-04T09:21:41.4491065Z Entering 'third_party/flatbuffers'
2025-12-04T09:21:41.4556133Z Entering 'third_party/fmt'
2025-12-04T09:21:41.4615433Z Entering 'third_party/gemmlowp/gemmlowp'
2025-12-04T09:21:41.4677199Z Entering 'third_party/gloo'
2025-12-04T09:21:41.4740555Z Entering 'third_party/googletest'
2025-12-04T09:21:41.4803195Z Entering 'third_party/ideep'
2025-12-04T09:21:41.4861154Z Entering 'third_party/ideep/mkl-dnn'
2025-12-04T09:21:41.4934186Z Entering 'third_party/ittapi'
2025-12-04T09:21:41.4998486Z Entering 'third_party/kineto'
2025-12-04T09:21:41.5055250Z Entering 'third_party/kineto/libkineto/third_party/dynolog'
2025-12-04T09:21:41.5112130Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-12-04T09:21:41.5172088Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-12-04T09:21:41.5232632Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-12-04T09:21:41.5295510Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-12-04T09:21:41.5353567Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-12-04T09:21:41.5418955Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-12-04T09:21:41.5481749Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-12-04T09:21:41.5543149Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-12-04T09:21:41.5602418Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-12-04T09:21:41.5660444Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp'
2025-12-04T09:21:41.5722767Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb'
2025-12-04T09:21:41.5784399Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest'
2025-12-04T09:21:41.5853002Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2025-12-04T09:21:41.5911629Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2025-12-04T09:21:41.5971505Z Entering 'third_party/kleidiai'
2025-12-04T09:21:41.6031816Z Entering 'third_party/mimalloc'
2025-12-04T09:21:41.6090905Z Entering 'third_party/nlohmann'
2025-12-04T09:21:41.6155593Z Entering 'third_party/onnx'
2025-12-04T09:21:41.6234113Z Entering 'third_party/onnx/third_party/pybind11'
2025-12-04T09:21:41.6302151Z Entering 'third_party/opentelemetry-cpp'
2025-12-04T09:21:41.6364402Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-12-04T09:21:41.6421962Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-12-04T09:21:41.6479065Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-12-04T09:21:41.6537597Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-12-04T09:21:41.6594198Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-12-04T09:21:41.6652115Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-12-04T09:21:41.6714071Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-12-04T09:21:41.6770047Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-12-04T09:21:41.6829194Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-12-04T09:21:41.6890786Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-12-04T09:21:41.6972169Z Entering 'third_party/pocketfft'
2025-12-04T09:21:41.7033246Z Entering 'third_party/protobuf'
2025-12-04T09:21:41.7093936Z Entering 'third_party/protobuf/third_party/benchmark'
2025-12-04T09:21:41.7151338Z Entering 'third_party/protobuf/third_party/googletest'
2025-12-04T09:21:41.7215019Z Entering 'third_party/psimd'
2025-12-04T09:21:41.7273237Z Entering 'third_party/pthreadpool'
2025-12-04T09:21:41.7332083Z Entering 'third_party/pybind11'
2025-12-04T09:21:41.7390028Z Entering 'third_party/python-peachpy'
2025-12-04T09:21:41.7452408Z Entering 'third_party/sleef'
2025-12-04T09:21:41.7512802Z Entering 'third_party/tensorpipe'
2025-12-04T09:21:41.7570307Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-12-04T09:21:41.7627193Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-12-04T09:21:41.7684878Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-12-04T09:21:41.7741913Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-12-04T09:21:41.7797968Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-12-04T09:21:41.7883188Z ##[endgroup]
2025-12-04T09:21:41.7931459Z [command]/usr/bin/git log -1 --format=%H
2025-12-04T09:21:41.7963872Z ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T09:21:41.8099931Z ##[group]Run cd "${GITHUB_WORKSPACE}"
2025-12-04T09:21:41.8100258Z cd "${GITHUB_WORKSPACE}"
2025-12-04T09:21:41.8100530Z # Clean stale submodule dirs
2025-12-04T09:21:41.8100822Z if [ -z "${NO_SUDO}" ]; then
2025-12-04T09:21:41.8101175Z   sudo git submodule foreach --recursive git clean -ffdx
2025-12-04T09:21:41.8101513Z else
2025-12-04T09:21:41.8101791Z   git submodule foreach --recursive git clean -ffdx
2025-12-04T09:21:41.8102131Z fi
2025-12-04T09:21:41.8115573Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:21:41.8115903Z env:
2025-12-04T09:21:41.8116095Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:21:41.8116320Z   NO_SUDO: true
2025-12-04T09:21:41.8116528Z ##[endgroup]
2025-12-04T09:21:41.8545397Z Entering 'android/libs/fbjni'
2025-12-04T09:21:41.8594156Z Entering 'third_party/FP16'
2025-12-04T09:21:41.8641114Z Entering 'third_party/FXdiv'
2025-12-04T09:21:41.8685850Z Entering 'third_party/NNPACK'
2025-12-04T09:21:41.8742863Z Entering 'third_party/NVTX'
2025-12-04T09:21:41.8798338Z Entering 'third_party/VulkanMemoryAllocator'
2025-12-04T09:21:41.8844953Z Entering 'third_party/XNNPACK'
2025-12-04T09:21:41.9007829Z Entering 'third_party/aiter'
2025-12-04T09:21:41.9065938Z Entering 'third_party/aiter/3rdparty/composable_kernel'
2025-12-04T09:21:41.9223285Z Entering 'third_party/benchmark'
2025-12-04T09:21:41.9270596Z Entering 'third_party/composable_kernel'
2025-12-04T09:21:41.9431433Z Entering 'third_party/cpp-httplib'
2025-12-04T09:21:41.9479235Z Entering 'third_party/cpuinfo'
2025-12-04T09:21:41.9531473Z Entering 'third_party/cudnn_frontend'
2025-12-04T09:21:41.9580862Z Entering 'third_party/cutlass'
2025-12-04T09:21:41.9721249Z Entering 'third_party/fbgemm'
2025-12-04T09:21:41.9804923Z Entering 'third_party/fbgemm/external/asmjit'
2025-12-04T09:21:41.9851078Z Entering 'third_party/fbgemm/external/composable_kernel'
2025-12-04T09:21:42.0011613Z Entering 'third_party/fbgemm/external/cpuinfo'
2025-12-04T09:21:42.0061340Z Entering 'third_party/fbgemm/external/cutlass'
2025-12-04T09:21:42.0196705Z Entering 'third_party/fbgemm/external/googletest'
2025-12-04T09:21:42.0245057Z Entering 'third_party/fbgemm/external/hipify_torch'
2025-12-04T09:21:42.0286283Z Entering 'third_party/fbgemm/external/json'
2025-12-04T09:21:42.0350224Z Entering 'third_party/flash-attention'
2025-12-04T09:21:42.0407957Z Entering 'third_party/flash-attention/csrc/composable_kernel'
2025-12-04T09:21:42.0541942Z Entering 'third_party/flash-attention/csrc/cutlass'
2025-12-04T09:21:42.0666793Z Entering 'third_party/flatbuffers'
2025-12-04T09:21:42.0769833Z Entering 'third_party/fmt'
2025-12-04T09:21:42.0816616Z Entering 'third_party/gemmlowp/gemmlowp'
2025-12-04T09:21:42.0865912Z Entering 'third_party/gloo'
2025-12-04T09:21:42.0914427Z Entering 'third_party/googletest'
2025-12-04T09:21:42.0963949Z Entering 'third_party/ideep'
2025-12-04T09:21:42.1006580Z Entering 'third_party/ideep/mkl-dnn'
2025-12-04T09:21:42.1124261Z Entering 'third_party/ittapi'
2025-12-04T09:21:42.1173872Z Entering 'third_party/kineto'
2025-12-04T09:21:42.1223543Z Entering 'third_party/kineto/libkineto/third_party/dynolog'
2025-12-04T09:21:42.1275277Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-12-04T09:21:42.1339039Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-12-04T09:21:42.1392009Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-12-04T09:21:42.1438998Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-12-04T09:21:42.1479809Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-12-04T09:21:42.1525665Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-12-04T09:21:42.1572993Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-12-04T09:21:42.1620256Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-12-04T09:21:42.1677379Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-12-04T09:21:42.1721950Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp'
2025-12-04T09:21:42.1770711Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb'
2025-12-04T09:21:42.1840079Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest'
2025-12-04T09:21:42.1896162Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2025-12-04T09:21:42.1941375Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2025-12-04T09:21:42.1992591Z Entering 'third_party/kleidiai'
2025-12-04T09:21:42.2049174Z Entering 'third_party/mimalloc'
2025-12-04T09:21:42.2097289Z Entering 'third_party/nlohmann'
2025-12-04T09:21:42.2162733Z Entering 'third_party/onnx'
2025-12-04T09:21:42.2637217Z Entering 'third_party/onnx/third_party/pybind11'
2025-12-04T09:21:42.2690077Z Entering 'third_party/opentelemetry-cpp'
2025-12-04T09:21:42.2768949Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-12-04T09:21:42.2812540Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-12-04T09:21:42.2859193Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-12-04T09:21:42.2900177Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-12-04T09:21:42.2957694Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-12-04T09:21:42.3000999Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-12-04T09:21:42.3044885Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-12-04T09:21:42.3087653Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-12-04T09:21:42.3155150Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-12-04T09:21:42.3219688Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-12-04T09:21:42.3587858Z Entering 'third_party/pocketfft'
2025-12-04T09:21:42.3634030Z Entering 'third_party/protobuf'
2025-12-04T09:21:42.3743835Z Entering 'third_party/protobuf/third_party/benchmark'
2025-12-04T09:21:42.3786642Z Entering 'third_party/protobuf/third_party/googletest'
2025-12-04T09:21:42.3838886Z Entering 'third_party/psimd'
2025-12-04T09:21:42.3882929Z Entering 'third_party/pthreadpool'
2025-12-04T09:21:42.3928172Z Entering 'third_party/pybind11'
2025-12-04T09:21:42.3978059Z Entering 'third_party/python-peachpy'
2025-12-04T09:21:42.4028438Z Entering 'third_party/sleef'
2025-12-04T09:21:42.4077983Z Entering 'third_party/tensorpipe'
2025-12-04T09:21:42.4127418Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-12-04T09:21:42.4172993Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-12-04T09:21:42.4215692Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-12-04T09:21:42.4264010Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-12-04T09:21:42.4305800Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-12-04T09:21:42.4476286Z Prepare all required actions
2025-12-04T09:21:42.4476776Z Getting action download info
2025-12-04T09:21:42.5875950Z ##[group]Run ./.github/actions/setup-linux
2025-12-04T09:21:42.5876241Z env:
2025-12-04T09:21:42.5876454Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:21:42.5876698Z ##[endgroup]
2025-12-04T09:21:42.5912379Z ##[group]Run set -euo pipefail
2025-12-04T09:21:42.5912683Z set -euo pipefail
2025-12-04T09:21:42.5912954Z function get_ec2_metadata() {
2025-12-04T09:21:42.5913301Z   # Pulled from instance metadata endpoint for EC2
2025-12-04T09:21:42.5913870Z   # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html
2025-12-04T09:21:42.5914404Z   category=$1
2025-12-04T09:21:42.5914743Z   # If it is GCP runner (runner name contains gcp), do not run this
2025-12-04T09:21:42.5915138Z   runner_name_str=i-075e7fbe9a561d9a2
2025-12-04T09:21:42.5915493Z   if [[ -f /.inarc ]]; then
2025-12-04T09:21:42.5915802Z     echo "ARC Runner, no info on ec2 metadata"
2025-12-04T09:21:42.5916164Z   elif [[ $runner_name_str == *"gcp"* ]]; then
2025-12-04T09:21:42.5916589Z     echo "Runner is from Google Cloud Platform, No info on ec2 metadata"
2025-12-04T09:21:42.5916962Z   else
2025-12-04T09:21:42.5917717Z     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}"
2025-12-04T09:21:42.5918515Z   fi
2025-12-04T09:21:42.5918707Z }
2025-12-04T09:21:42.5918955Z echo "ami-id: $(get_ec2_metadata ami-id)"
2025-12-04T09:21:42.5919348Z echo "instance-id: $(get_ec2_metadata instance-id)"
2025-12-04T09:21:42.5919772Z echo "instance-type: $(get_ec2_metadata instance-type)"
2025-12-04T09:21:42.5920153Z echo "system info $(uname -a)"
2025-12-04T09:21:42.5931203Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:21:42.5931656Z env:
2025-12-04T09:21:42.5932011Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:21:42.5932308Z ##[endgroup]
2025-12-04T09:21:42.6123299Z ami-id: ami-08982f1c5bf93d976
2025-12-04T09:21:42.6248466Z instance-id: i-075e7fbe9a561d9a2
2025-12-04T09:21:42.6370813Z instance-type: g5.4xlarge
2025-12-04T09:21:42.6385786Z system info Linux ip-10-0-67-207.ec2.internal 6.1.150-174.273.amzn2023.x86_64 #1 SMP PREEMPT_DYNAMIC Tue Sep  9 12:21:26 UTC 2025 x86_64 x86_64 x86_64 GNU/Linux
2025-12-04T09:21:42.6409013Z ##[group]Run if [ -f /usr/bin/nvidia-smi ]; then nvidia-smi; fi
2025-12-04T09:21:42.6409623Z if [ -f /usr/bin/nvidia-smi ]; then nvidia-smi; fi
2025-12-04T09:21:42.6419921Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:21:42.6420264Z env:
2025-12-04T09:21:42.6420459Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:21:42.6420704Z ##[endgroup]
2025-12-04T09:21:44.2646322Z Thu Dec  4 09:21:44 2025       
2025-12-04T09:21:44.2646760Z +-----------------------------------------------------------------------------------------+
2025-12-04T09:21:44.2647261Z | NVIDIA-SMI 580.82.07              Driver Version: 580.82.07      CUDA Version: 13.0     |
2025-12-04T09:21:44.2647727Z +-----------------------------------------+------------------------+----------------------+
2025-12-04T09:21:44.2648209Z | GPU  Name                 Persistence-M | Bus-Id          Disp.A | Volatile Uncorr. ECC |
2025-12-04T09:21:44.2648728Z | Fan  Temp   Perf          Pwr:Usage/Cap |           Memory-Usage | GPU-Util  Compute M. |
2025-12-04T09:21:44.2649149Z |                                         |                        |               MIG M. |
2025-12-04T09:21:44.2649487Z |=========================================+========================+======================|
2025-12-04T09:21:44.2744706Z |   0  NVIDIA A10G                    Off |   00000000:00:1E.0 Off |                    0 |
2025-12-04T09:21:44.2745638Z |  0%   25C    P0             55W /  300W |       0MiB /  23028MiB |      3%      Default |
2025-12-04T09:21:44.2746031Z |                                         |                        |                  N/A |
2025-12-04T09:21:44.2746412Z +-----------------------------------------+------------------------+----------------------+
2025-12-04T09:21:44.2746698Z 
2025-12-04T09:21:44.2747104Z +-----------------------------------------------------------------------------------------+
2025-12-04T09:21:44.2747596Z | Processes:                                                                              |
2025-12-04T09:21:44.2748030Z |  GPU   GI   CI              PID   Type   Process name                        GPU Memory |
2025-12-04T09:21:44.2748447Z |        ID   ID                                                               Usage      |
2025-12-04T09:21:44.2748784Z |=========================================================================================|
2025-12-04T09:21:44.2750361Z |  No running processes found                                                             |
2025-12-04T09:21:44.2750821Z +-----------------------------------------------------------------------------------------+
2025-12-04T09:21:44.6990488Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-12-04T09:21:44.6991330Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-12-04T09:21:44.7002657Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:21:44.7003004Z env:
2025-12-04T09:21:44.7003189Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:21:44.7003444Z ##[endgroup]
2025-12-04T09:21:44.7068288Z ##[group]Run if systemctl is-active --quiet docker; then
2025-12-04T09:21:44.7068690Z if systemctl is-active --quiet docker; then
2025-12-04T09:21:44.7069032Z     echo "Docker daemon is running...";
2025-12-04T09:21:44.7069336Z else
2025-12-04T09:21:44.7069653Z     echo "Starting docker daemon..." && sudo systemctl start docker;
2025-12-04T09:21:44.7070023Z fi
2025-12-04T09:21:44.7079023Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:21:44.7079352Z env:
2025-12-04T09:21:44.7079543Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:21:44.7079764Z ##[endgroup]
2025-12-04T09:21:44.7177609Z Docker daemon is running...
2025-12-04T09:21:44.7220952Z ##[group]Run nick-fields/retry@v3.0.0
2025-12-04T09:21:44.7221223Z with:
2025-12-04T09:21:44.7221402Z   shell: bash
2025-12-04T09:21:44.7221602Z   timeout_minutes: 5
2025-12-04T09:21:44.7221815Z   max_attempts: 3
2025-12-04T09:21:44.7222209Z   retry_wait_seconds: 30
2025-12-04T09:21:44.7224257Z   command: AWS_ACCOUNT_ID=$(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

2025-12-04T09:21:44.7226354Z   polling_interval_seconds: 1
2025-12-04T09:21:44.7226609Z   warning_on_retry: true
2025-12-04T09:21:44.7226845Z   continue_on_error: false
2025-12-04T09:21:44.7227063Z env:
2025-12-04T09:21:44.7227248Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:21:44.7227485Z   AWS_RETRY_MODE: standard
2025-12-04T09:21:44.7227716Z   AWS_MAX_ATTEMPTS: 5
2025-12-04T09:21:44.7227948Z   AWS_DEFAULT_REGION: us-east-1
2025-12-04T09:21:44.7228188Z ##[endgroup]
2025-12-04T09:21:45.8762361Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-12-04T09:21:45.8763260Z Configure a credential helper to remove this warning. See
2025-12-04T09:21:45.8763802Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-12-04T09:21:45.8764152Z 
2025-12-04T09:21:45.8764247Z Login Succeeded
2025-12-04T09:21:46.8112311Z Command completed after 1 attempt(s).
2025-12-04T09:21:46.8180211Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-12-04T09:21:46.8193900Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-12-04T09:21:46.8194364Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-12-04T09:21:46.8205688Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:21:46.8206032Z env:
2025-12-04T09:21:46.8206242Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:21:46.8206475Z ##[endgroup]
2025-12-04T09:21:46.8306660Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty
2025-12-04T09:21:46.8307168Z # ignore expansion of "docker ps -q" since it could be empty
2025-12-04T09:21:46.8307554Z # shellcheck disable=SC2046
2025-12-04T09:21:46.8307860Z docker stop $(docker ps -q) || true
2025-12-04T09:21:46.8308172Z # Prune all of the docker images
2025-12-04T09:21:46.8308460Z docker system prune -af
2025-12-04T09:21:46.8316943Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:21:46.8317277Z env:
2025-12-04T09:21:46.8317470Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:21:46.8317701Z ##[endgroup]
2025-12-04T09:21:46.8669397Z "docker stop" requires at least 1 argument.
2025-12-04T09:21:46.8669775Z See 'docker stop --help'.
2025-12-04T09:21:46.8669948Z 
2025-12-04T09:21:46.8670100Z Usage:  docker stop [OPTIONS] CONTAINER [CONTAINER...]
2025-12-04T09:21:46.8670372Z 
2025-12-04T09:21:46.8670477Z Stop one or more running containers
2025-12-04T09:21:46.9043953Z Total reclaimed space: 0B
2025-12-04T09:21:46.9219782Z ##[group]Run pytorch/test-infra/.github/actions/calculate-docker-image@main
2025-12-04T09:21:46.9220212Z with:
2025-12-04T09:21:46.9221064Z   docker-image-name: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-inductor-benchmarks-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T09:21:46.9222002Z   use-custom-docker-registry: true
2025-12-04T09:21:46.9222301Z   docker-build-dir: .ci/docker
2025-12-04T09:21:46.9222584Z   docker-build-script: ./build.sh
2025-12-04T09:21:46.9222854Z   working-directory: .
2025-12-04T09:21:46.9223180Z   docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-12-04T09:21:46.9223548Z   force-push: false
2025-12-04T09:21:46.9223755Z env:
2025-12-04T09:21:46.9223949Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:21:46.9224191Z ##[endgroup]
2025-12-04T09:21:46.9242208Z ##[group]Run set -ex
2025-12-04T09:21:46.9242462Z set -ex
2025-12-04T09:21:46.9242664Z 
2025-12-04T09:21:46.9243049Z # If the docker build directory or the build script doesn't exist, the action will
2025-12-04T09:21:46.9243648Z # gracefully return the docker image name as it is.  Pulling docker image in Linux
2025-12-04T09:21:46.9244156Z # job could then download the pre-built image as usual
2025-12-04T09:21:46.9244774Z if [[ -d "${DOCKER_BUILD_DIR}" ]] && [[ -f "${DOCKER_BUILD_DIR}/${DOCKER_BUILD_SCRIPT}" ]] && [[ "${USE_CUSTOM_DOCKER_REGISTRY}" == "true" ]]; then
2025-12-04T09:21:46.9245342Z   echo "skip=false" >> "${GITHUB_OUTPUT}"
2025-12-04T09:21:46.9245636Z else
2025-12-04T09:21:46.9245879Z   echo "skip=true" >> "${GITHUB_OUTPUT}"
2025-12-04T09:21:46.9246286Z   echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}"
2025-12-04T09:21:46.9246643Z 
2025-12-04T09:21:46.9247150Z   echo "Not using custom ECR registry.  Either it was not requested or there is no Docker build script in the ${REPO_NAME} repo..."
2025-12-04T09:21:46.9247713Z   exit 0
2025-12-04T09:21:46.9247908Z fi
2025-12-04T09:21:46.9248103Z 
2025-12-04T09:21:46.9248414Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_REGISTRY}/${REPO_NAME}"* ]]; then
2025-12-04T09:21:46.9248951Z   # The docker image name already includes the ECR prefix and tag, so we can just
2025-12-04T09:21:46.9249428Z   # use it as it is, but first let's extract the tag
2025-12-04T09:21:46.9249869Z   DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}')
2025-12-04T09:21:46.9250328Z   echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2025-12-04T09:21:46.9250758Z   echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}"
2025-12-04T09:21:46.9251119Z else
2025-12-04T09:21:46.9251368Z   if [[ "${DOCKER_IMAGE_NAME}" == *:* ]]; then
2025-12-04T09:21:46.9251716Z     CUSTOM_TAG_PREFIX=${DOCKER_IMAGE_NAME#*:}
2025-12-04T09:21:46.9252070Z     DOCKER_IMAGE_NAME=${DOCKER_IMAGE_NAME%%:*}
2025-12-04T09:21:46.9252367Z   fi
2025-12-04T09:21:46.9252773Z   DOCKER_TAG=${CUSTOM_TAG_PREFIX:+${CUSTOM_TAG_PREFIX}-}$(git rev-parse HEAD:"${DOCKER_BUILD_DIR}")
2025-12-04T09:21:46.9253314Z   echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2025-12-04T09:21:46.9253889Z   echo "docker-image=${DOCKER_REGISTRY}/${REPO_NAME}/${DOCKER_IMAGE_NAME}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2025-12-04T09:21:46.9254514Z   echo "custom-tag-prefix=${CUSTOM_TAG_PREFIX}" >> "${GITHUB_OUTPUT}"
2025-12-04T09:21:46.9254898Z fi
2025-12-04T09:21:46.9263947Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:21:46.9264273Z env:
2025-12-04T09:21:46.9264461Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:21:46.9264705Z   REPO_NAME: pytorch
2025-12-04T09:21:46.9265773Z   DOCKER_IMAGE_NAME: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-inductor-benchmarks-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T09:21:46.9266683Z   DOCKER_BUILD_DIR: .ci/docker
2025-12-04T09:21:46.9266945Z   DOCKER_BUILD_SCRIPT: ./build.sh
2025-12-04T09:21:46.9267280Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-12-04T09:21:46.9267640Z   USE_CUSTOM_DOCKER_REGISTRY: true
2025-12-04T09:21:46.9267899Z   CUSTOM_TAG_PREFIX: 
2025-12-04T09:21:46.9268105Z ##[endgroup]
2025-12-04T09:21:46.9312044Z + [[ -d .ci/docker ]]
2025-12-04T09:21:46.9312601Z + [[ -f .ci/docker/./build.sh ]]
2025-12-04T09:21:46.9313046Z + [[ true == \t\r\u\e ]]
2025-12-04T09:21:46.9313398Z + echo skip=false
2025-12-04T09:21:46.9314913Z + [[ 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-inductor-benchmarks-f0cd68561080d537ef3d3d6f81b25a6416ad600a == *\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* ]]
2025-12-04T09:21:46.9321958Z ++ echo 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-inductor-benchmarks-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T09:21:46.9323063Z ++ awk -F '[:,]' '{print $2}'
2025-12-04T09:21:46.9351136Z + DOCKER_TAG=pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-inductor-benchmarks-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T09:21:46.9352227Z + echo docker-tag=pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-inductor-benchmarks-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T09:21:46.9353567Z + echo docker-image=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-inductor-benchmarks-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T09:21:46.9379842Z ##[group]Run set +e
2025-12-04T09:21:46.9380123Z set +e
2025-12-04T09:21:46.9380335Z set -x
2025-12-04T09:21:46.9380538Z 
2025-12-04T09:21:46.9380732Z login() {
2025-12-04T09:21:46.9381168Z   aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1"
2025-12-04T09:21:46.9381647Z }
2025-12-04T09:21:46.9381847Z 
2025-12-04T09:21:46.9382039Z retry () {
2025-12-04T09:21:46.9382292Z   $*  || (sleep 1 && $*) || (sleep 2 && $*)
2025-12-04T09:21:46.9382580Z }
2025-12-04T09:21:46.9382773Z 
2025-12-04T09:21:46.9382976Z retry login "${DOCKER_REGISTRY}"
2025-12-04T09:21:46.9383259Z 
2025-12-04T09:21:46.9383467Z START_TIME=$(date +%s)
2025-12-04T09:21:46.9383738Z # Wait up to 120 minutes
2025-12-04T09:21:46.9384077Z while [[ $(( $(date +%s) - 7200 )) -lt $START_TIME ]]; do
2025-12-04T09:21:46.9384537Z   # Check if image already exists, if it does then skip building it
2025-12-04T09:21:46.9385001Z   if docker manifest inspect "${DOCKER_IMAGE}"; then
2025-12-04T09:21:46.9385448Z     exit 0
2025-12-04T09:21:46.9385676Z   fi
2025-12-04T09:21:46.9385880Z 
2025-12-04T09:21:46.9386233Z   # NB: This flag is used by Docker build workflow to push the image to ECR, so we can
2025-12-04T09:21:46.9386830Z   # use this to differentiate between the Docker build and regular build jobs. For the
2025-12-04T09:21:46.9387434Z   # latter, it will wait for the Docker images to become available before continuing
2025-12-04T09:21:46.9387911Z   if [ "${DOCKER_PUSH:-false}" == "true" ]; then
2025-12-04T09:21:46.9388276Z     # It's a Docker build job, let's build the image
2025-12-04T09:21:46.9388603Z     break
2025-12-04T09:21:46.9388824Z   else
2025-12-04T09:21:46.9389134Z     # It's a regular build job, wait for the image to become available
2025-12-04T09:21:46.9389510Z     sleep 300
2025-12-04T09:21:46.9389752Z   fi
2025-12-04T09:21:46.9389961Z done
2025-12-04T09:21:46.9390151Z 
2025-12-04T09:21:46.9390669Z # NB: This part requires a full checkout. Otherwise, the merge base will
2025-12-04T09:21:46.9391190Z # be empty.  The default action would be to continue rebuild the image
2025-12-04T09:21:46.9391648Z if [[ "$BASE_REVISION" = "$(git rev-parse HEAD)" ]]; then
2025-12-04T09:21:46.9392063Z   # if we're on the base branch then use the parent commit
2025-12-04T09:21:46.9392436Z   MERGE_BASE=$(git rev-parse HEAD~)
2025-12-04T09:21:46.9392720Z else
2025-12-04T09:21:46.9393014Z   # otherwise we're on a PR, so use the most recent base commit
2025-12-04T09:21:46.9393449Z   MERGE_BASE=$(git merge-base HEAD "$BASE_REVISION")
2025-12-04T09:21:46.9393774Z fi
2025-12-04T09:21:46.9393960Z 
2025-12-04T09:21:46.9394182Z if [[ -z "${MERGE_BASE}" ]]; then
2025-12-04T09:21:46.9394595Z   echo "rebuild=true" >> "${GITHUB_OUTPUT}"
2025-12-04T09:21:46.9394885Z 
2025-12-04T09:21:46.9395307Z   echo "Finding merge base only works with full checkout, please set fetch-depth to 0, continuing ..."
2025-12-04T09:21:46.9395802Z   exit 0
2025-12-04T09:21:46.9396012Z fi
2025-12-04T09:21:46.9396201Z 
2025-12-04T09:21:46.9396483Z if ! git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}"; then
2025-12-04T09:21:46.9397095Z   echo "Directory '${DOCKER_BUILD_DIR}' not found in commit $MERGE_BASE, you should rebase onto a more recent commit"
2025-12-04T09:21:46.9397605Z   exit 1
2025-12-04T09:21:46.9397813Z fi
2025-12-04T09:21:46.9398008Z 
2025-12-04T09:21:46.9398337Z PREVIOUS_DOCKER_TAG=$(git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}")
2025-12-04T09:21:46.9398933Z # If no image exists but the hash is the same as the previous hash then we should error out here
2025-12-04T09:21:46.9399467Z if [[ "${PREVIOUS_DOCKER_TAG}" == "${DOCKER_TAG}" ]]; then
2025-12-04T09:21:46.9400082Z   echo "WARNING: Something has gone wrong and the previous image isn't available for the merge-base of your branch"
2025-12-04T09:21:46.9400767Z   echo "         Will re-build docker image to store in local cache, TTS may be longer"
2025-12-04T09:21:46.9401168Z fi
2025-12-04T09:21:46.9401372Z 
2025-12-04T09:21:46.9401635Z echo "rebuild=true" >> "${GITHUB_OUTPUT}"
2025-12-04T09:21:46.9411273Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:21:46.9411623Z env:
2025-12-04T09:21:46.9411830Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:21:46.9412086Z   DOCKER_BUILD_DIR: .ci/docker
2025-12-04T09:21:46.9412423Z   BASE_REVISION: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T09:21:46.9413402Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-inductor-benchmarks-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T09:21:46.9414710Z   DOCKER_TAG: pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-inductor-benchmarks-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T09:21:46.9415453Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-12-04T09:21:46.9415821Z   DOCKER_PUSH: 
2025-12-04T09:21:46.9416049Z ##[endgroup]
2025-12-04T09:21:46.9445258Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-12-04T09:21:46.9445672Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-12-04T09:21:46.9449576Z + aws ecr get-login-password --region us-east-1
2025-12-04T09:21:46.9450229Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-12-04T09:21:47.4773197Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-12-04T09:21:47.4774208Z Configure a credential helper to remove this warning. See
2025-12-04T09:21:47.4775152Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-12-04T09:21:47.4775824Z 
2025-12-04T09:21:47.4775983Z Login Succeeded
2025-12-04T09:21:47.4801157Z ++ date +%s
2025-12-04T09:21:47.4814848Z + START_TIME=1764840107
2025-12-04T09:21:47.4819525Z ++ date +%s
2025-12-04T09:21:47.4832610Z + [[ 1764832907 -lt 1764840107 ]]
2025-12-04T09:21:47.4833579Z + docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-inductor-benchmarks-f0cd68561080d537ef3d3d6f81b25a6416ad600a
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2025-12-04T09:21:47.7209664Z 		},
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2025-12-04T09:21:47.7240187Z 		},
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2025-12-04T09:21:47.7327306Z 		{
2025-12-04T09:21:47.7327694Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-12-04T09:21:47.7328058Z 			"size": 109,
2025-12-04T09:21:47.7328420Z 			"digest": "sha256:ca476499816126df5cc49752f5185594b188732f4d6c00288761778c211aeec4"
2025-12-04T09:21:47.7328828Z 		},
2025-12-04T09:21:47.7328995Z 		{
2025-12-04T09:21:47.7329330Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-12-04T09:21:47.7329707Z 			"size": 1897,
2025-12-04T09:21:47.7330084Z 			"digest": "sha256:405bd83d0433e3995d46a2f4ade2dfccd8059a1776d38a8c585f63c6ebb46a23"
2025-12-04T09:21:47.7330491Z 		},
2025-12-04T09:21:47.7330656Z 		{
2025-12-04T09:21:47.7330957Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-12-04T09:21:47.7331316Z 			"size": 245581094,
2025-12-04T09:21:47.7331702Z 			"digest": "sha256:5327b52ceb73f24a1050bb87ab40584617c2bdeafa75b782fdaf18b1788499ef"
2025-12-04T09:21:47.7332228Z 		},
2025-12-04T09:21:47.7332383Z 		{
2025-12-04T09:21:47.7332692Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-12-04T09:21:47.7333068Z 			"size": 106,
2025-12-04T09:21:47.7333439Z 			"digest": "sha256:f9b7e1f4ddce15eeaec24d48dfe9594499c99522bb5a96618d1ce6477983155b"
2025-12-04T09:21:47.7333886Z 		},
2025-12-04T09:21:47.7334056Z 		{
2025-12-04T09:21:47.7334361Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-12-04T09:21:47.7334734Z 			"size": 163,
2025-12-04T09:21:47.7335116Z 			"digest": "sha256:a50b5c3201628a2e5168dd113072e4ad7910b525ad37a4bad84a3fc8ef0cace8"
2025-12-04T09:21:47.7335542Z 		},
2025-12-04T09:21:47.7335705Z 		{
2025-12-04T09:21:47.7336014Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-12-04T09:21:47.7336402Z 			"size": 7943,
2025-12-04T09:21:47.7336774Z 			"digest": "sha256:0b09c1642c91f861ea31ad593fa469d75e087a2699815e107fc46769e34053bf"
2025-12-04T09:21:47.7337208Z 		},
2025-12-04T09:21:47.7337382Z 		{
2025-12-04T09:21:47.7337678Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-12-04T09:21:47.7338055Z 			"size": 8071,
2025-12-04T09:21:47.7338448Z 			"digest": "sha256:1fa1d77a87cb8d22c5c5862fe04ae64aec95acd0482f96b1f116445d2cc9f853"
2025-12-04T09:21:47.7338881Z 		},
2025-12-04T09:21:47.7339044Z 		{
2025-12-04T09:21:47.7339400Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-12-04T09:21:47.7339786Z 			"size": 304,
2025-12-04T09:21:47.7340152Z 			"digest": "sha256:dde1ddfc4205843dd27c91352615ecea55171855353ba8f5560ea44cb0fcf96e"
2025-12-04T09:21:47.7340581Z 		},
2025-12-04T09:21:47.7340757Z 		{
2025-12-04T09:21:47.7341050Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-12-04T09:21:47.7341430Z 			"size": 13360849,
2025-12-04T09:21:47.7341833Z 			"digest": "sha256:400a8f0f9b277903f207676ec8e3ba321c52f98eadad1c0b30bebcc1137849c5"
2025-12-04T09:21:47.7342248Z 		},
2025-12-04T09:21:47.7342425Z 		{
2025-12-04T09:21:47.7342733Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-12-04T09:21:47.7343102Z 			"size": 108,
2025-12-04T09:21:47.7343496Z 			"digest": "sha256:ab1c61a905299e8d24fb4e743f77ea0caa16d46c3f40e39b697c1b103a5f4460"
2025-12-04T09:21:47.7343923Z 		},
2025-12-04T09:21:47.7344099Z 		{
2025-12-04T09:21:47.7344390Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-12-04T09:21:47.7344774Z 			"size": 54145653,
2025-12-04T09:21:47.7345184Z 			"digest": "sha256:e44c011c5d2004b76adfe6333bb6ab57cdc5ff333d15c4058bb63c01f91b80f2"
2025-12-04T09:21:47.7345652Z 		},
2025-12-04T09:21:47.7345820Z 		{
2025-12-04T09:21:47.7346115Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-12-04T09:21:47.7346478Z 			"size": 32,
2025-12-04T09:21:47.7346864Z 			"digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1"
2025-12-04T09:21:47.7347302Z 		}
2025-12-04T09:21:47.7347481Z + exit 0
2025-12-04T09:21:47.7347662Z 	]
2025-12-04T09:21:47.7347829Z }
2025-12-04T09:21:47.7373807Z ##[group]Run set -eux
2025-12-04T09:21:47.7374057Z set -eux
2025-12-04T09:21:47.7374546Z # It's ok if this steps fails, it would then be an anonymous user like what we used to have
2025-12-04T09:21:47.7375581Z aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token | jq --raw-output '.SecretString' | jq -r .docker_hub_readonly_token | docker login --username pytorchbot --password-stdin || true
2025-12-04T09:21:47.7385407Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:21:47.7385745Z env:
2025-12-04T09:21:47.7385952Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:21:47.7386183Z ##[endgroup]
2025-12-04T09:21:47.7421783Z + aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token
2025-12-04T09:21:47.7422259Z + jq --raw-output .SecretString
2025-12-04T09:21:47.7423824Z + jq -r .docker_hub_readonly_token
2025-12-04T09:21:47.7425439Z + docker login --username pytorchbot --password-stdin
2025-12-04T09:21:48.3140842Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-12-04T09:21:48.3141400Z Configure a credential helper to remove this warning. See
2025-12-04T09:21:48.3141925Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-12-04T09:21:48.3142275Z 
2025-12-04T09:21:48.3142942Z Login Succeeded
2025-12-04T09:21:48.3244395Z ##[group]Run tag=${ECR_DOCKER_IMAGE##*:}
2025-12-04T09:21:48.3244738Z tag=${ECR_DOCKER_IMAGE##*:}
2025-12-04T09:21:48.3245097Z echo "docker pull ghcr.io/pytorch/ci-image:${tag/:/-}"
2025-12-04T09:21:48.3254255Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:21:48.3254585Z env:
2025-12-04T09:21:48.3254777Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:21:48.3255656Z   ECR_DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-inductor-benchmarks-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T09:21:48.3256546Z ##[endgroup]
2025-12-04T09:21:48.3288291Z docker pull ghcr.io/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-inductor-benchmarks-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T09:21:48.3331735Z ##[group]Run pytorch/test-infra/.github/actions/pull-docker-image@main
2025-12-04T09:21:48.3332136Z with:
2025-12-04T09:21:48.3332954Z   docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-inductor-benchmarks-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T09:21:48.3333939Z   docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-12-04T09:21:48.3334294Z env:
2025-12-04T09:21:48.3334491Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:21:48.3334728Z ##[endgroup]
2025-12-04T09:21:48.3348950Z ##[group]Run set -x
2025-12-04T09:21:48.3349185Z set -x
2025-12-04T09:21:48.3349382Z set +e
2025-12-04T09:21:48.3349583Z 
2025-12-04T09:21:48.3349769Z login() {
2025-12-04T09:21:48.3350200Z   aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1"
2025-12-04T09:21:48.3350663Z }
2025-12-04T09:21:48.3350854Z 
2025-12-04T09:21:48.3351066Z retry () {
2025-12-04T09:21:48.3351308Z   $*  || (sleep 1 && $*) || (sleep 2 && $*)
2025-12-04T09:21:48.3351589Z }
2025-12-04T09:21:48.3351777Z 
2025-12-04T09:21:48.3351986Z retry login "${DOCKER_REGISTRY}"
2025-12-04T09:21:48.3352248Z 
2025-12-04T09:21:48.3352682Z IMAGE_SIZE=$(docker manifest inspect "${DOCKER_IMAGE}" | jq '[.layers[].size, .config.size] | add / 1024 / 1024')
2025-12-04T09:21:48.3353276Z echo "Compressed size of image in MB: ${IMAGE_SIZE}"
2025-12-04T09:21:48.3353603Z 
2025-12-04T09:21:48.3353788Z set -e
2025-12-04T09:21:48.3354105Z # ignore output since only exit code is used for conditional
2025-12-04T09:21:48.3354553Z # only pull docker image if it's not available locally
2025-12-04T09:21:48.3355043Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then
2025-12-04T09:21:48.3355498Z   retry docker pull "${DOCKER_IMAGE}"
2025-12-04T09:21:48.3355782Z fi
2025-12-04T09:21:48.3363908Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:21:48.3364240Z env:
2025-12-04T09:21:48.3364428Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:21:48.3365298Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-inductor-benchmarks-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T09:21:48.3366275Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-12-04T09:21:48.3366635Z ##[endgroup]
2025-12-04T09:21:48.3394746Z + set +e
2025-12-04T09:21:48.3395034Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-12-04T09:21:48.3395427Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-12-04T09:21:48.3399101Z + aws ecr get-login-password --region us-east-1
2025-12-04T09:21:48.3399742Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-12-04T09:21:48.8903253Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-12-04T09:21:48.8903808Z Configure a credential helper to remove this warning. See
2025-12-04T09:21:48.8904336Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-12-04T09:21:48.8904689Z 
2025-12-04T09:21:48.8905096Z Login Succeeded
2025-12-04T09:21:48.8937014Z ++ docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-inductor-benchmarks-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T09:21:48.8938016Z ++ jq '[.layers[].size, .config.size] | add / 1024 / 1024'
2025-12-04T09:21:49.0872050Z + IMAGE_SIZE=36391.57895755768
2025-12-04T09:21:49.0872407Z + echo 'Compressed size of image in MB: 36391.57895755768'
2025-12-04T09:21:49.0872803Z Compressed size of image in MB: 36391.57895755768
2025-12-04T09:21:49.0873113Z + set -e
2025-12-04T09:21:49.0874308Z + docker inspect --type=image 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-inductor-benchmarks-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T09:21:49.1026651Z + retry docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-inductor-benchmarks-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T09:21:49.1028200Z + docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-inductor-benchmarks-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T09:21:49.2932646Z pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-inductor-benchmarks-f0cd68561080d537ef3d3d6f81b25a6416ad600a: Pulling from pytorch/ci-image
2025-12-04T09:21:49.2933638Z 63e5bc7682b8: Pulling fs layer
2025-12-04T09:21:49.2934179Z 5a99dbbe8953: Pulling fs layer
2025-12-04T09:21:49.2934498Z 093ec9cbb437: Pulling fs layer
2025-12-04T09:21:49.2934751Z a2c983655925: Pulling fs layer
2025-12-04T09:21:49.2935008Z 67ceabc5b695: Pulling fs layer
2025-12-04T09:21:49.2935267Z 7a10eaeace60: Pulling fs layer
2025-12-04T09:21:49.2935516Z 1c94a35e50e8: Pulling fs layer
2025-12-04T09:21:49.2935762Z 20dc7ae2d07a: Pulling fs layer
2025-12-04T09:21:49.2936019Z d1c29a5b38d1: Pulling fs layer
2025-12-04T09:21:49.2936271Z 73f340e1bbc9: Pulling fs layer
2025-12-04T09:21:49.2936521Z 7428d586b9d2: Pulling fs layer
2025-12-04T09:21:49.2936762Z 62f866d38c3a: Pulling fs layer
2025-12-04T09:21:49.2937010Z 5b976bbaf127: Pulling fs layer
2025-12-04T09:21:49.2937260Z d6da674fccf1: Pulling fs layer
2025-12-04T09:21:49.2937506Z 4f4fb700ef54: Pulling fs layer
2025-12-04T09:21:49.2937762Z 4aa62fab1ece: Pulling fs layer
2025-12-04T09:21:49.2938013Z 4e3a84c60cbb: Pulling fs layer
2025-12-04T09:21:49.2938252Z f1a623399314: Pulling fs layer
2025-12-04T09:21:49.2941700Z c645728a9659: Pulling fs layer
2025-12-04T09:21:49.2942049Z 1d774143d46c: Pulling fs layer
2025-12-04T09:21:49.2942432Z 2c9a7d58a196: Pulling fs layer
2025-12-04T09:21:49.2942797Z ada7fe7c5f8a: Pulling fs layer
2025-12-04T09:21:49.2943162Z 4148c341f564: Pulling fs layer
2025-12-04T09:21:49.2943513Z ccd390f34ecf: Pulling fs layer
2025-12-04T09:21:49.2943863Z 2306d6a7c853: Pulling fs layer
2025-12-04T09:21:49.2944211Z 108dc23bb701: Pulling fs layer
2025-12-04T09:21:49.2944485Z 011fc1c80cbb: Pulling fs layer
2025-12-04T09:21:49.2944828Z 342fc23bd590: Pulling fs layer
2025-12-04T09:21:49.2945185Z 9015e3517f6a: Pulling fs layer
2025-12-04T09:21:49.2945659Z 15d524e1f4ce: Pulling fs layer
2025-12-04T09:21:49.2945987Z 56fadbe5a22c: Pulling fs layer
2025-12-04T09:21:49.2946351Z ea1ed94ec9d6: Pulling fs layer
2025-12-04T09:21:49.2946681Z 2f60a5515fca: Pulling fs layer
2025-12-04T09:21:49.2947006Z 48370ea42018: Pulling fs layer
2025-12-04T09:21:49.2947355Z b01c74387d6c: Pulling fs layer
2025-12-04T09:21:49.2947971Z bdc64880d54b: Pulling fs layer
2025-12-04T09:21:49.2948301Z 0ac9b4cbd8d6: Pulling fs layer
2025-12-04T09:21:49.2948560Z ff4a13fdd487: Pulling fs layer
2025-12-04T09:21:49.2949371Z f6d4514e7906: Pulling fs layer
2025-12-04T09:21:49.2949761Z 526a9aa52982: Pulling fs layer
2025-12-04T09:21:49.2950109Z 478d742763b5: Pulling fs layer
2025-12-04T09:21:49.2950483Z ae946e83ad80: Pulling fs layer
2025-12-04T09:21:49.2950893Z c279de5ab570: Pulling fs layer
2025-12-04T09:21:49.2951290Z 89d0b89bf252: Pulling fs layer
2025-12-04T09:21:49.2951659Z c54471daa5c7: Pulling fs layer
2025-12-04T09:21:49.2952015Z 9020a156ac8c: Pulling fs layer
2025-12-04T09:21:49.2952371Z 85f7f5ab98a2: Pulling fs layer
2025-12-04T09:21:49.2952627Z 61299215b0fb: Pulling fs layer
2025-12-04T09:21:49.2952886Z cac399129428: Pulling fs layer
2025-12-04T09:21:49.2953151Z 35c23ac6db6d: Pulling fs layer
2025-12-04T09:21:49.2953408Z b90b01d6da43: Pulling fs layer
2025-12-04T09:21:49.2953710Z 7be4be5c85c9: Pulling fs layer
2025-12-04T09:21:49.2954017Z c8da94486492: Pulling fs layer
2025-12-04T09:21:49.2954271Z 17df277e59ed: Pulling fs layer
2025-12-04T09:21:49.2954528Z 486a3076689e: Pulling fs layer
2025-12-04T09:21:49.2955128Z c7fb1cba105a: Pulling fs layer
2025-12-04T09:21:49.2955532Z 31c04c91f410: Pulling fs layer
2025-12-04T09:21:49.2955901Z 81b4829c81a3: Pulling fs layer
2025-12-04T09:21:49.2956280Z 2086aee3427c: Pulling fs layer
2025-12-04T09:21:49.2956692Z a2b6cf5acc8f: Pulling fs layer
2025-12-04T09:21:49.2957088Z ca4764998161: Pulling fs layer
2025-12-04T09:21:49.2968711Z 405bd83d0433: Pulling fs layer
2025-12-04T09:21:49.2969011Z 5327b52ceb73: Pulling fs layer
2025-12-04T09:21:49.2969284Z f9b7e1f4ddce: Pulling fs layer
2025-12-04T09:21:49.2969586Z a50b5c320162: Pulling fs layer
2025-12-04T09:21:49.2970281Z 0b09c1642c91: Pulling fs layer
2025-12-04T09:21:49.2970679Z 1fa1d77a87cb: Pulling fs layer
2025-12-04T09:21:49.2971060Z dde1ddfc4205: Pulling fs layer
2025-12-04T09:21:49.2971435Z 400a8f0f9b27: Pulling fs layer
2025-12-04T09:21:49.2971801Z ab1c61a90529: Pulling fs layer
2025-12-04T09:21:49.2972172Z 4e3a84c60cbb: Waiting
2025-12-04T09:21:49.2972785Z 4aa62fab1ece: Waiting
2025-12-04T09:21:49.2973143Z f1a623399314: Waiting
2025-12-04T09:21:49.2973498Z 20dc7ae2d07a: Waiting
2025-12-04T09:21:49.2973876Z e44c011c5d20: Pulling fs layer
2025-12-04T09:21:49.2974288Z 73f340e1bbc9: Waiting
2025-12-04T09:21:49.2974605Z a2c983655925: Waiting
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2025-12-04T09:35:06.4568358Z Digest: sha256:37b24890df16bde4a06d28a880f0b62c24329ba858b79dc7b8e2c07335323f49
2025-12-04T09:35:06.4711138Z Status: Downloaded newer image for 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-inductor-benchmarks-f0cd68561080d537ef3d3d6f81b25a6416ad600a
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2025-12-04T09:35:06.4862691Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-12-04T09:35:06.4863577Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-12-04T09:35:06.4877643Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:35:06.4878151Z env:
2025-12-04T09:35:06.4878430Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:35:06.4878825Z ##[endgroup]
2025-12-04T09:35:06.5082199Z ##[group]Run pytorch/test-infra/.github/actions/setup-nvidia@main
2025-12-04T09:35:06.5082578Z with:
2025-12-04T09:35:06.5082774Z   driver-version: 580.82.07
2025-12-04T09:35:06.5083000Z env:
2025-12-04T09:35:06.5083206Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:35:06.5083436Z ##[endgroup]
2025-12-04T09:35:06.5142501Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-12-04T09:35:06.5143319Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-12-04T09:35:06.5152647Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:35:06.5152985Z env:
2025-12-04T09:35:06.5153191Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:35:06.5153424Z ##[endgroup]
2025-12-04T09:35:06.5264766Z ##[group]Run set -euo pipefail
2025-12-04T09:35:06.5265189Z set -euo pipefail
2025-12-04T09:35:06.5265467Z 
2025-12-04T09:35:06.5265661Z has_gpu=false
2025-12-04T09:35:06.5265880Z devices=""
2025-12-04T09:35:06.5266085Z 
2025-12-04T09:35:06.5266340Z if command -v nvidia-smi >/dev/null 2>&1; then
2025-12-04T09:35:06.5266750Z   if nvidia-smi -L >/tmp/nvidia_devices 2>/dev/null; then
2025-12-04T09:35:06.5267104Z     has_gpu=true
2025-12-04T09:35:06.5267378Z     devices=$(cat /tmp/nvidia_devices)
2025-12-04T09:35:06.5267660Z   fi
2025-12-04T09:35:06.5267854Z fi
2025-12-04T09:35:06.5268039Z 
2025-12-04T09:35:06.5268239Z if [ "$has_gpu" = false ]; then
2025-12-04T09:35:06.5268595Z   if ls /dev/nvidia* >/tmp/nvidia_devices 2>/dev/null; then
2025-12-04T09:35:06.5268942Z     has_gpu=true
2025-12-04T09:35:06.5269208Z     devices=$(cat /tmp/nvidia_devices)
2025-12-04T09:35:06.5269482Z   fi
2025-12-04T09:35:06.5269672Z fi
2025-12-04T09:35:06.5269858Z 
2025-12-04T09:35:06.5270127Z if [ "$has_gpu" = false ] && command -v lspci >/dev/null 2>&1; then
2025-12-04T09:35:06.5270583Z   if lspci | grep -i 'nvidia' >/tmp/nvidia_devices 2>/dev/null; then
2025-12-04T09:35:06.5271135Z     has_gpu=true
2025-12-04T09:35:06.5271398Z     devices=$(cat /tmp/nvidia_devices)
2025-12-04T09:35:06.5271672Z   fi
2025-12-04T09:35:06.5271863Z fi
2025-12-04T09:35:06.5272041Z 
2025-12-04T09:35:06.5272305Z printf 'HAS_NVIDIA=%s\n' "$has_gpu" >> "$GITHUB_OUTPUT"
2025-12-04T09:35:06.5272783Z printf 'DETECTED_DEVICES<<EOF\n%s\nEOF\n' "$devices" >> "$GITHUB_OUTPUT"
2025-12-04T09:35:06.5281295Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:35:06.5281619Z env:
2025-12-04T09:35:06.5281806Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:35:06.5282036Z ##[endgroup]
2025-12-04T09:35:08.2830609Z ##[group]Run if [ "${HAS_NVIDIA}" = "true" ]; then
2025-12-04T09:35:08.2830996Z if [ "${HAS_NVIDIA}" = "true" ]; then
2025-12-04T09:35:08.2831339Z   echo "HAS_NVIDIA_GPU=true" >> "${GITHUB_ENV}"
2025-12-04T09:35:08.2831815Z   echo "GPU_FLAG=--gpus all -e NVIDIA_DRIVER_CAPABILITIES=all" >> "${GITHUB_ENV}"
2025-12-04T09:35:08.2832248Z else
2025-12-04T09:35:08.2832506Z   echo "HAS_NVIDIA_GPU=false" >> "${GITHUB_ENV}"
2025-12-04T09:35:08.2832819Z fi
2025-12-04T09:35:08.2841984Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:35:08.2842321Z env:
2025-12-04T09:35:08.2842527Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:35:08.2842771Z   HAS_NVIDIA: true
2025-12-04T09:35:08.2842982Z ##[endgroup]
2025-12-04T09:35:08.2991010Z ##[group]Run nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482
2025-12-04T09:35:08.2991386Z with:
2025-12-04T09:35:08.2991571Z   timeout_minutes: 10
2025-12-04T09:35:08.2991793Z   max_attempts: 3
2025-12-04T09:35:08.3015895Z   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

# 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

2025-12-04T09:35:08.3039982Z   retry_wait_seconds: 10
2025-12-04T09:35:08.3040241Z   polling_interval_seconds: 1
2025-12-04T09:35:08.3040492Z   warning_on_retry: true
2025-12-04T09:35:08.3040743Z   continue_on_error: false
2025-12-04T09:35:08.3040983Z env:
2025-12-04T09:35:08.3041172Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:35:08.3041416Z   HAS_NVIDIA_GPU: true
2025-12-04T09:35:08.3041706Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-12-04T09:35:08.3042120Z   DRIVER_VERSION: 580.82.07
2025-12-04T09:35:08.3042359Z ##[endgroup]
2025-12-04T09:35:08.4855354Z == Installing nvidia driver NVIDIA-Linux-x86_64-580.82.07.run ==
2025-12-04T09:35:08.4856055Z + pre_install_nvidia_driver_amzn2
2025-12-04T09:35:08.4859519Z + sudo yum remove -y nvidia-driver-latest-dkms
2025-12-04T09:35:09.8096922Z No match for argument: nvidia-driver-latest-dkms
2025-12-04T09:35:09.8097791Z No packages marked for removal.
2025-12-04T09:35:09.8309405Z Dependencies resolved.
2025-12-04T09:35:09.8319091Z Nothing to do.
2025-12-04T09:35:09.8319602Z Complete!
2025-12-04T09:35:09.9103431Z + install_nvidia_driver_common
2025-12-04T09:35:09.9107945Z + echo 'Before installing NVIDIA driver'
2025-12-04T09:35:09.9108454Z + lspci
2025-12-04T09:35:09.9110257Z Before installing NVIDIA driver
2025-12-04T09:35:10.0457255Z 00:00.0 Host bridge: Intel Corporation 440FX - 82441FX PMC [Natoma]
2025-12-04T09:35:10.0457766Z 00:01.0 ISA bridge: Intel Corporation 82371SB PIIX3 ISA [Natoma/Triton II]
2025-12-04T09:35:10.0458333Z 00:01.3 Non-VGA unclassified device: Intel Corporation 82371AB/EB/MB PIIX4 ACPI (rev 08)
2025-12-04T09:35:10.0458850Z 00:03.0 VGA compatible controller: Amazon.com, Inc. Device 1111
2025-12-04T09:35:10.0459331Z 00:04.0 Non-Volatile memory controller: Amazon.com, Inc. NVMe EBS Controller
2025-12-04T09:35:10.0459949Z 00:05.0 Ethernet controller: Amazon.com, Inc. Elastic Network Adapter (ENA)
2025-12-04T09:35:10.0460724Z 00:1e.0 3D controller: NVIDIA Corporation GA102GL [A10G] (rev a1)
2025-12-04T09:35:10.0461707Z 00:1f.0 Non-Volatile memory controller: Amazon.com, Inc. NVMe SSD Controller
2025-12-04T09:35:10.0474409Z + lsmod
2025-12-04T09:35:10.0768417Z Module                  Size  Used by
2025-12-04T09:35:10.0768994Z nvidia_uvm           1925120  0
2025-12-04T09:35:10.0769261Z nvidia              14286848  1 nvidia_uvm
2025-12-04T09:35:10.0769553Z drm                   602112  1 nvidia
2025-12-04T09:35:10.0769855Z drm_panel_orientation_quirks    32768  1 drm
2025-12-04T09:35:10.0770171Z backlight              24576  1 drm
2025-12-04T09:35:10.0770476Z i2c_core              110592  2 nvidia,drm
2025-12-04T09:35:10.0770767Z xt_conntrack           16384  1
2025-12-04T09:35:10.0771055Z nft_chain_nat          16384  3
2025-12-04T09:35:10.0771312Z xt_MASQUERADE          20480  1
2025-12-04T09:35:10.0771607Z nf_nat                 57344  2 nft_chain_nat,xt_MASQUERADE
2025-12-04T09:35:10.0771933Z nf_conntrack_netlink    57344  0
2025-12-04T09:35:10.0772373Z nf_conntrack          184320  4 xt_conntrack,nf_nat,nf_conntrack_netlink,xt_MASQUERADE
2025-12-04T09:35:10.0772956Z nf_defrag_ipv6         24576  1 nf_conntrack
2025-12-04T09:35:10.0773356Z nf_defrag_ipv4         16384  1 nf_conntrack
2025-12-04T09:35:10.0773746Z xfrm_user              57344  1
2025-12-04T09:35:10.0774057Z xfrm_algo              16384  1 xfrm_user
2025-12-04T09:35:10.0774341Z xt_addrtype            16384  2
2025-12-04T09:35:10.0774594Z nft_compat             20480  4
2025-12-04T09:35:10.0774891Z nf_tables             311296  57 nft_compat,nft_chain_nat
2025-12-04T09:35:10.0775298Z nfnetlink              20480  4 nft_compat,nf_conntrack_netlink,nf_tables
2025-12-04T09:35:10.0775663Z br_netfilter           36864  0
2025-12-04T09:35:10.0775930Z bridge                323584  1 br_netfilter
2025-12-04T09:35:10.0776216Z stp                    16384  1 bridge
2025-12-04T09:35:10.0776493Z llc                    16384  2 bridge,stp
2025-12-04T09:35:10.0776770Z overlay               167936  0
2025-12-04T09:35:10.0777007Z tls                   139264  0
2025-12-04T09:35:10.0777253Z nls_ascii              16384  1
2025-12-04T09:35:10.0777505Z nls_cp437              20480  1
2025-12-04T09:35:10.0777737Z vfat                   24576  1
2025-12-04T09:35:10.0777985Z fat                    86016  1 vfat
2025-12-04T09:35:10.0778245Z sunrpc                700416  1
2025-12-04T09:35:10.0778478Z i8042                  45056  0
2025-12-04T09:35:10.0778722Z ghash_clmulni_intel    16384  0
2025-12-04T09:35:10.0779140Z serio                  28672  3 i8042
2025-12-04T09:35:10.0779391Z ena                   184320  0
2025-12-04T09:35:10.0779630Z button                 24576  0
2025-12-04T09:35:10.0779885Z sch_fq_codel           20480  17
2025-12-04T09:35:10.0780130Z fuse                  184320  1
2025-12-04T09:35:10.0780363Z dm_mod                188416  0
2025-12-04T09:35:10.0780604Z loop                   36864  0
2025-12-04T09:35:10.0780844Z configfs               57344  1
2025-12-04T09:35:10.0781081Z dmi_sysfs              20480  0
2025-12-04T09:35:10.0781325Z crc32_pclmul           16384  0
2025-12-04T09:35:10.0781571Z crc32c_intel           24576  0
2025-12-04T09:35:10.0781807Z efivarfs               24576  1
2025-12-04T09:35:10.0782054Z + modinfo nvidia
2025-12-04T09:35:10.0790234Z filename:       /lib/modules/6.1.150-174.273.amzn2023.x86_64/kernel/drivers/video/nvidia.ko
2025-12-04T09:35:10.0790710Z import_ns:      DMA_BUF
2025-12-04T09:35:10.0790952Z alias:          char-major-195-*
2025-12-04T09:35:10.0791222Z version:        580.82.07
2025-12-04T09:35:10.0791464Z supported:      external
2025-12-04T09:35:10.0791702Z license:        Dual MIT/GPL
2025-12-04T09:35:10.0791988Z firmware:       nvidia/580.82.07/gsp_tu10x.bin
2025-12-04T09:35:10.0792318Z firmware:       nvidia/580.82.07/gsp_ga10x.bin
2025-12-04T09:35:10.0792640Z srcversion:     BA7240A71DCF7DC6FE88C1D
2025-12-04T09:35:10.0792962Z alias:          of:N*T*Cnvidia,tegra264-displayC*
2025-12-04T09:35:10.0793313Z alias:          of:N*T*Cnvidia,tegra264-display
2025-12-04T09:35:10.0793655Z alias:          of:N*T*Cnvidia,tegra234-displayC*
2025-12-04T09:35:10.0793988Z alias:          of:N*T*Cnvidia,tegra234-display
2025-12-04T09:35:10.0794323Z alias:          pci:v000010DEd*sv*sd*bc06sc80i00*
2025-12-04T09:35:10.0794767Z alias:          pci:v000010DEd*sv*sd*bc03sc02i00*
2025-12-04T09:35:10.0795089Z alias:          pci:v000010DEd*sv*sd*bc03sc00i00*
2025-12-04T09:35:10.0795397Z depends:        i2c-core,drm
2025-12-04T09:35:10.0795651Z retpoline:      Y
2025-12-04T09:35:10.0795874Z name:           nvidia
2025-12-04T09:35:10.0796228Z vermagic:       6.1.150-174.273.amzn2023.x86_64 SMP preempt mod_unload modversions 
2025-12-04T09:35:10.0796695Z parm:           NvSwitchRegDwords:NvSwitch regkey (charp)
2025-12-04T09:35:10.0797133Z parm:           NvSwitchBlacklist:NvSwitchBlacklist=uuid[,uuid...] (charp)
2025-12-04T09:35:10.0797535Z parm:           NVreg_ResmanDebugLevel:int
2025-12-04T09:35:10.0797842Z parm:           NVreg_RmLogonRC:int
2025-12-04T09:35:10.0798141Z parm:           NVreg_ModifyDeviceFiles:int
2025-12-04T09:35:10.0798444Z parm:           NVreg_DeviceFileUID:int
2025-12-04T09:35:10.0798739Z parm:           NVreg_DeviceFileGID:int
2025-12-04T09:35:10.0799037Z parm:           NVreg_DeviceFileMode:int
2025-12-04T09:35:10.0799396Z parm:           NVreg_InitializeSystemMemoryAllocations:int
2025-12-04T09:35:10.0799784Z parm:           NVreg_UsePageAttributeTable:int
2025-12-04T09:35:10.0800114Z parm:           NVreg_EnablePCIeGen3:int
2025-12-04T09:35:10.0800414Z parm:           NVreg_EnableMSI:int
2025-12-04T09:35:10.0800709Z parm:           NVreg_EnableStreamMemOPs:int
2025-12-04T09:35:10.0801063Z parm:           NVreg_RestrictProfilingToAdminUsers:int
2025-12-04T09:35:10.0801451Z parm:           NVreg_PreserveVideoMemoryAllocations:int
2025-12-04T09:35:10.0801819Z parm:           NVreg_EnableS0ixPowerManagement:int
2025-12-04T09:35:10.0802227Z parm:           NVreg_S0ixPowerManagementVideoMemoryThreshold:int
2025-12-04T09:35:10.0802942Z parm:           NVreg_DynamicPowerManagement:int
2025-12-04T09:35:10.0803345Z parm:           NVreg_DynamicPowerManagementVideoMemoryThreshold:int
2025-12-04T09:35:10.0803749Z parm:           NVreg_EnableGpuFirmware:int
2025-12-04T09:35:10.0804084Z parm:           NVreg_EnableGpuFirmwareLogs:int
2025-12-04T09:35:10.0804446Z parm:           NVreg_OpenRmEnableUnsupportedGpus:int
2025-12-04T09:35:10.0804809Z parm:           NVreg_EnableUserNUMAManagement:int
2025-12-04T09:35:10.0805141Z parm:           NVreg_MemoryPoolSize:int
2025-12-04T09:35:10.0805598Z parm:           NVreg_KMallocHeapMaxSize:int
2025-12-04T09:35:10.0805921Z parm:           NVreg_VMallocHeapMaxSize:int
2025-12-04T09:35:10.0806238Z parm:           NVreg_IgnoreMMIOCheck:int
2025-12-04T09:35:10.0806543Z parm:           NVreg_NvLinkDisable:int
2025-12-04T09:35:10.0806875Z parm:           NVreg_EnablePCIERelaxedOrderingMode:int
2025-12-04T09:35:10.0807234Z parm:           NVreg_RegisterPCIDriver:int
2025-12-04T09:35:10.0807591Z parm:           NVreg_RegisterPlatformDeviceDriver:int
2025-12-04T09:35:10.0807945Z parm:           NVreg_EnableResizableBar:int
2025-12-04T09:35:10.0808266Z parm:           NVreg_EnableDbgBreakpoint:int
2025-12-04T09:35:10.0808605Z parm:           NVreg_EnableNonblockingOpen:int
2025-12-04T09:35:10.0808956Z parm:           NVreg_CoherentGPUMemoryMode:charp
2025-12-04T09:35:10.0809281Z parm:           NVreg_RegistryDwords:charp
2025-12-04T09:35:10.0809615Z parm:           NVreg_RegistryDwordsPerDevice:charp
2025-12-04T09:35:10.0809944Z parm:           NVreg_RmMsg:charp
2025-12-04T09:35:10.0810223Z parm:           NVreg_GpuBlacklist:charp
2025-12-04T09:35:10.0810547Z parm:           NVreg_TemporaryFilePath:charp
2025-12-04T09:35:10.0810916Z parm:           NVreg_ExcludedGpus:charp
2025-12-04T09:35:10.0811233Z parm:           NVreg_DmaRemapPeerMmio:int
2025-12-04T09:35:10.0811548Z parm:           NVreg_RmNvlinkBandwidth:charp
2025-12-04T09:35:10.0811903Z parm:           NVreg_RmNvlinkBandwidthLinkCount:int
2025-12-04T09:35:10.0812251Z parm:           NVreg_ImexChannelCount:int
2025-12-04T09:35:10.0812560Z parm:           NVreg_CreateImexChannel0:int
2025-12-04T09:35:10.0812902Z parm:           NVreg_GrdmaPciTopoCheckOverride:int
2025-12-04T09:35:10.0813235Z parm:           rm_firmware_active:charp
2025-12-04T09:35:10.0813646Z + HAS_NVIDIA_DRIVER=0
2025-12-04T09:35:10.0813893Z ++ command -v nvidia-smi
2025-12-04T09:35:10.0814148Z + '[' -x /usr/bin/nvidia-smi ']'
2025-12-04T09:35:10.0814398Z + set +e
2025-12-04T09:35:10.0814704Z ++ nvidia-smi --query-gpu=driver_version --format=csv,noheader --id=0
2025-12-04T09:35:11.8250541Z + INSTALLED_DRIVER_VERSION=580.82.07
2025-12-04T09:35:11.8250868Z + NVIDIA_SMI_STATUS=0
2025-12-04T09:35:11.8251109Z + '[' 0 -ne 0 ']'
2025-12-04T09:35:11.8251720Z + '[' 580.82.07 '!=' 580.82.07 ']'
2025-12-04T09:35:11.8251977Z + HAS_NVIDIA_DRIVER=1
2025-12-04T09:35:11.8252406Z + echo 'NVIDIA driver (580.82.07) has already been installed. Skipping NVIDIA driver installation'
2025-12-04T09:35:11.8252852Z + set -e
2025-12-04T09:35:11.8253038Z + '[' 1 -eq 0 ']'
2025-12-04T09:35:11.8253416Z NVIDIA driver (580.82.07) has already been installed. Skipping NVIDIA driver installation
2025-12-04T09:35:11.8253882Z + post_install_nvidia_driver_common
2025-12-04T09:35:11.8257345Z + sudo modprobe nvidia
2025-12-04T09:35:11.9207836Z + echo 'After installing NVIDIA driver'
2025-12-04T09:35:11.9208183Z + lspci
2025-12-04T09:35:11.9208394Z After installing NVIDIA driver
2025-12-04T09:35:11.9333647Z 00:00.0 Host bridge: Intel Corporation 440FX - 82441FX PMC [Natoma]
2025-12-04T09:35:11.9334661Z 00:01.0 ISA bridge: Intel Corporation 82371SB PIIX3 ISA [Natoma/Triton II]
2025-12-04T09:35:11.9335743Z 00:01.3 Non-VGA unclassified device: Intel Corporation 82371AB/EB/MB PIIX4 ACPI (rev 08)
2025-12-04T09:35:11.9336882Z 00:03.0 VGA compatible controller: Amazon.com, Inc. Device 1111
2025-12-04T09:35:11.9337819Z 00:04.0 Non-Volatile memory controller: Amazon.com, Inc. NVMe EBS Controller
2025-12-04T09:35:11.9338845Z 00:05.0 Ethernet controller: Amazon.com, Inc. Elastic Network Adapter (ENA)
2025-12-04T09:35:11.9339773Z 00:1e.0 3D controller: NVIDIA Corporation GA102GL [A10G] (rev a1)
2025-12-04T09:35:11.9340705Z 00:1f.0 Non-Volatile memory controller: Amazon.com, Inc. NVMe SSD Controller
2025-12-04T09:35:11.9341481Z + lsmod
2025-12-04T09:35:11.9376671Z Module                  Size  Used by
2025-12-04T09:35:11.9377017Z nvidia_uvm           1925120  0
2025-12-04T09:35:11.9377295Z nvidia              14286848  1 nvidia_uvm
2025-12-04T09:35:11.9377583Z drm                   602112  1 nvidia
2025-12-04T09:35:11.9378250Z drm_panel_orientation_quirks    32768  1 drm
2025-12-04T09:35:11.9378581Z backlight              24576  1 drm
2025-12-04T09:35:11.9378971Z i2c_core              110592  2 nvidia,drm
2025-12-04T09:35:11.9379373Z xt_conntrack           16384  1
2025-12-04T09:35:11.9379717Z nft_chain_nat          16384  3
2025-12-04T09:35:11.9380064Z xt_MASQUERADE          20480  1
2025-12-04T09:35:11.9380473Z nf_nat                 57344  2 nft_chain_nat,xt_MASQUERADE
2025-12-04T09:35:11.9380909Z nf_conntrack_netlink    57344  0
2025-12-04T09:35:11.9381431Z nf_conntrack          184320  4 xt_conntrack,nf_nat,nf_conntrack_netlink,xt_MASQUERADE
2025-12-04T09:35:11.9381869Z nf_defrag_ipv6         24576  1 nf_conntrack
2025-12-04T09:35:11.9382175Z nf_defrag_ipv4         16384  1 nf_conntrack
2025-12-04T09:35:11.9382457Z xfrm_user              57344  1
2025-12-04T09:35:11.9382714Z xfrm_algo              16384  1 xfrm_user
2025-12-04T09:35:11.9382988Z xt_addrtype            16384  2
2025-12-04T09:35:11.9383262Z nft_compat             20480  4
2025-12-04T09:35:11.9383554Z nf_tables             311296  57 nft_compat,nft_chain_nat
2025-12-04T09:35:11.9383960Z nfnetlink              20480  4 nft_compat,nf_conntrack_netlink,nf_tables
2025-12-04T09:35:11.9384323Z br_netfilter           36864  0
2025-12-04T09:35:11.9384586Z bridge                323584  1 br_netfilter
2025-12-04T09:35:11.9384871Z stp                    16384  1 bridge
2025-12-04T09:35:11.9385248Z llc                    16384  2 bridge,stp
2025-12-04T09:35:11.9385515Z overlay               167936  0
2025-12-04T09:35:11.9385757Z tls                   139264  0
2025-12-04T09:35:11.9385995Z nls_ascii              16384  1
2025-12-04T09:35:11.9386233Z nls_cp437              20480  1
2025-12-04T09:35:11.9386660Z vfat                   24576  1
2025-12-04T09:35:11.9386910Z fat                    86016  1 vfat
2025-12-04T09:35:11.9387168Z sunrpc                700416  1
2025-12-04T09:35:11.9387397Z i8042                  45056  0
2025-12-04T09:35:11.9387658Z ghash_clmulni_intel    16384  0
2025-12-04T09:35:11.9387916Z serio                  28672  3 i8042
2025-12-04T09:35:11.9388167Z ena                   184320  0
2025-12-04T09:35:11.9388405Z button                 24576  0
2025-12-04T09:35:11.9388648Z sch_fq_codel           20480  17
2025-12-04T09:35:11.9388887Z fuse                  184320  1
2025-12-04T09:35:11.9389129Z dm_mod                188416  0
2025-12-04T09:35:11.9389364Z loop                   36864  0
2025-12-04T09:35:11.9389608Z configfs               57344  1
2025-12-04T09:35:11.9389839Z dmi_sysfs              20480  0
2025-12-04T09:35:11.9390080Z crc32_pclmul           16384  0
2025-12-04T09:35:11.9390326Z crc32c_intel           24576  0
2025-12-04T09:35:11.9390562Z efivarfs               24576  1
2025-12-04T09:35:11.9390795Z + modinfo nvidia
2025-12-04T09:35:11.9395987Z filename:       /lib/modules/6.1.150-174.273.amzn2023.x86_64/kernel/drivers/video/nvidia.ko
2025-12-04T09:35:11.9396629Z import_ns:      DMA_BUF
2025-12-04T09:35:11.9396935Z alias:          char-major-195-*
2025-12-04T09:35:11.9397192Z version:        580.82.07
2025-12-04T09:35:11.9397425Z supported:      external
2025-12-04T09:35:11.9397657Z license:        Dual MIT/GPL
2025-12-04T09:35:11.9397931Z firmware:       nvidia/580.82.07/gsp_tu10x.bin
2025-12-04T09:35:11.9398255Z firmware:       nvidia/580.82.07/gsp_ga10x.bin
2025-12-04T09:35:11.9398559Z srcversion:     BA7240A71DCF7DC6FE88C1D
2025-12-04T09:35:11.9398878Z alias:          of:N*T*Cnvidia,tegra264-displayC*
2025-12-04T09:35:11.9399220Z alias:          of:N*T*Cnvidia,tegra264-display
2025-12-04T09:35:11.9399554Z alias:          of:N*T*Cnvidia,tegra234-displayC*
2025-12-04T09:35:11.9399895Z alias:          of:N*T*Cnvidia,tegra234-display
2025-12-04T09:35:11.9400227Z alias:          pci:v000010DEd*sv*sd*bc06sc80i00*
2025-12-04T09:35:11.9400546Z alias:          pci:v000010DEd*sv*sd*bc03sc02i00*
2025-12-04T09:35:11.9400858Z alias:          pci:v000010DEd*sv*sd*bc03sc00i00*
2025-12-04T09:35:11.9401280Z depends:        i2c-core,drm
2025-12-04T09:35:11.9401517Z retpoline:      Y
2025-12-04T09:35:11.9401714Z name:           nvidia
2025-12-04T09:35:11.9402106Z vermagic:       6.1.150-174.273.amzn2023.x86_64 SMP preempt mod_unload modversions 
2025-12-04T09:35:11.9402855Z parm:           NvSwitchRegDwords:NvSwitch regkey (charp)
2025-12-04T09:35:11.9403282Z parm:           NvSwitchBlacklist:NvSwitchBlacklist=uuid[,uuid...] (charp)
2025-12-04T09:35:11.9403686Z parm:           NVreg_ResmanDebugLevel:int
2025-12-04T09:35:11.9403980Z parm:           NVreg_RmLogonRC:int
2025-12-04T09:35:11.9404269Z parm:           NVreg_ModifyDeviceFiles:int
2025-12-04T09:35:11.9404565Z parm:           NVreg_DeviceFileUID:int
2025-12-04T09:35:11.9404853Z parm:           NVreg_DeviceFileGID:int
2025-12-04T09:35:11.9405152Z parm:           NVreg_DeviceFileMode:int
2025-12-04T09:35:11.9405501Z parm:           NVreg_InitializeSystemMemoryAllocations:int
2025-12-04T09:35:11.9405881Z parm:           NVreg_UsePageAttributeTable:int
2025-12-04T09:35:11.9406207Z parm:           NVreg_EnablePCIeGen3:int
2025-12-04T09:35:11.9406486Z parm:           NVreg_EnableMSI:int
2025-12-04T09:35:11.9406780Z parm:           NVreg_EnableStreamMemOPs:int
2025-12-04T09:35:11.9407129Z parm:           NVreg_RestrictProfilingToAdminUsers:int
2025-12-04T09:35:11.9407507Z parm:           NVreg_PreserveVideoMemoryAllocations:int
2025-12-04T09:35:11.9407900Z parm:           NVreg_EnableS0ixPowerManagement:int
2025-12-04T09:35:11.9408301Z parm:           NVreg_S0ixPowerManagementVideoMemoryThreshold:int
2025-12-04T09:35:11.9408698Z parm:           NVreg_DynamicPowerManagement:int
2025-12-04T09:35:11.9409097Z parm:           NVreg_DynamicPowerManagementVideoMemoryThreshold:int
2025-12-04T09:35:11.9409654Z parm:           NVreg_EnableGpuFirmware:int
2025-12-04T09:35:11.9409982Z parm:           NVreg_EnableGpuFirmwareLogs:int
2025-12-04T09:35:11.9410338Z parm:           NVreg_OpenRmEnableUnsupportedGpus:int
2025-12-04T09:35:11.9410694Z parm:           NVreg_EnableUserNUMAManagement:int
2025-12-04T09:35:11.9411027Z parm:           NVreg_MemoryPoolSize:int
2025-12-04T09:35:11.9411334Z parm:           NVreg_KMallocHeapMaxSize:int
2025-12-04T09:35:11.9411642Z parm:           NVreg_VMallocHeapMaxSize:int
2025-12-04T09:35:11.9411949Z parm:           NVreg_IgnoreMMIOCheck:int
2025-12-04T09:35:11.9412243Z parm:           NVreg_NvLinkDisable:int
2025-12-04T09:35:11.9412569Z parm:           NVreg_EnablePCIERelaxedOrderingMode:int
2025-12-04T09:35:11.9412915Z parm:           NVreg_RegisterPCIDriver:int
2025-12-04T09:35:11.9413252Z parm:           NVreg_RegisterPlatformDeviceDriver:int
2025-12-04T09:35:11.9413597Z parm:           NVreg_EnableResizableBar:int
2025-12-04T09:35:11.9413909Z parm:           NVreg_EnableDbgBreakpoint:int
2025-12-04T09:35:11.9414241Z parm:           NVreg_EnableNonblockingOpen:int
2025-12-04T09:35:11.9414580Z parm:           NVreg_CoherentGPUMemoryMode:charp
2025-12-04T09:35:11.9414900Z parm:           NVreg_RegistryDwords:charp
2025-12-04T09:35:11.9415231Z parm:           NVreg_RegistryDwordsPerDevice:charp
2025-12-04T09:35:11.9415543Z parm:           NVreg_RmMsg:charp
2025-12-04T09:35:11.9415815Z parm:           NVreg_GpuBlacklist:charp
2025-12-04T09:35:11.9416127Z parm:           NVreg_TemporaryFilePath:charp
2025-12-04T09:35:11.9416436Z parm:           NVreg_ExcludedGpus:charp
2025-12-04T09:35:11.9416728Z parm:           NVreg_DmaRemapPeerMmio:int
2025-12-04T09:35:11.9417040Z parm:           NVreg_RmNvlinkBandwidth:charp
2025-12-04T09:35:11.9417379Z parm:           NVreg_RmNvlinkBandwidthLinkCount:int
2025-12-04T09:35:11.9417711Z parm:           NVreg_ImexChannelCount:int
2025-12-04T09:35:11.9418014Z parm:           NVreg_CreateImexChannel0:int
2025-12-04T09:35:11.9418345Z parm:           NVreg_GrdmaPciTopoCheckOverride:int
2025-12-04T09:35:11.9418678Z parm:           rm_firmware_active:charp
2025-12-04T09:35:11.9418936Z + set +e
2025-12-04T09:35:11.9419113Z + nvidia-smi
2025-12-04T09:35:13.4058835Z Thu Dec  4 09:35:13 2025       
2025-12-04T09:35:13.4059729Z +-----------------------------------------------------------------------------------------+
2025-12-04T09:35:13.4060433Z | NVIDIA-SMI 580.82.07              Driver Version: 580.82.07      CUDA Version: 13.0     |
2025-12-04T09:35:13.4061114Z +-----------------------------------------+------------------------+----------------------+
2025-12-04T09:35:13.4061804Z | GPU  Name                 Persistence-M | Bus-Id          Disp.A | Volatile Uncorr. ECC |
2025-12-04T09:35:13.4062531Z | Fan  Temp   Perf          Pwr:Usage/Cap |           Memory-Usage | GPU-Util  Compute M. |
2025-12-04T09:35:13.4063116Z |                                         |                        |               MIG M. |
2025-12-04T09:35:13.4063590Z |=========================================+========================+======================|
2025-12-04T09:35:13.4144914Z |   0  NVIDIA A10G                    Off |   00000000:00:1E.0 Off |                    0 |
2025-12-04T09:35:13.4145597Z |  0%   27C    P0             62W /  300W |       0MiB /  23028MiB |      4%      Default |
2025-12-04T09:35:13.4146179Z |                                         |                        |                  N/A |
2025-12-04T09:35:13.4146739Z +-----------------------------------------+------------------------+----------------------+
2025-12-04T09:35:13.4147150Z 
2025-12-04T09:35:13.4147388Z +-----------------------------------------------------------------------------------------+
2025-12-04T09:35:13.4147980Z | Processes:                                                                              |
2025-12-04T09:35:13.4148573Z |  GPU   GI   CI              PID   Type   Process name                        GPU Memory |
2025-12-04T09:35:13.4149140Z |        ID   ID                                                               Usage      |
2025-12-04T09:35:13.4149861Z |=========================================================================================|
2025-12-04T09:35:13.4150830Z |  No running processes found                                                             |
2025-12-04T09:35:13.4151482Z +-----------------------------------------------------------------------------------------+
2025-12-04T09:35:13.8360275Z + nvidia-smi --query-gpu=gpu_name --format=csv,noheader --id=0
2025-12-04T09:35:15.3011409Z NVIDIA A10G
2025-12-04T09:35:15.5730570Z + NVIDIA_SMI_STATUS=0
2025-12-04T09:35:15.5731501Z + '[' 0 -eq 0 ']'
2025-12-04T09:35:15.5731796Z + echo 'INFO: Ignoring allowed status 0'
2025-12-04T09:35:15.5732075Z + set -e
2025-12-04T09:35:15.5732276Z INFO: Ignoring allowed status 0
2025-12-04T09:35:15.5742651Z == Installing nvidia container toolkit for amzn2023 ==
2025-12-04T09:35:15.5746397Z + sudo yum install -y yum-utils
2025-12-04T09:35:16.1361438Z Last metadata expiration check: 0:17:20 ago on Thu Dec  4 09:17:56 2025.
2025-12-04T09:35:16.1634952Z Package dnf-utils-4.3.0-13.amzn2023.0.5.noarch is already installed.
2025-12-04T09:35:16.2215967Z Dependencies resolved.
2025-12-04T09:35:16.2507493Z Nothing to do.
2025-12-04T09:35:16.2507841Z Complete!
2025-12-04T09:35:16.3557903Z + [[ amzn2023 == \a\m\z\n\2\0\2\3 ]]
2025-12-04T09:35:16.3558513Z + YUM_REPO_URL=https://nvidia.github.io/libnvidia-container/stable/rpm/nvidia-container-toolkit.repo
2025-12-04T09:35:16.3559366Z + sudo yum-config-manager --add-repo https://nvidia.github.io/libnvidia-container/stable/rpm/nvidia-container-toolkit.repo
2025-12-04T09:35:16.6623206Z Adding repo from: https://nvidia.github.io/libnvidia-container/stable/rpm/nvidia-container-toolkit.repo
2025-12-04T09:35:16.7173462Z + 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
2025-12-04T09:35:17.3229505Z nvidia-container-toolkit                         17 kB/s | 833  B     00:00    
2025-12-04T09:35:17.4067281Z Dependencies resolved.
2025-12-04T09:35:17.4355197Z ================================================================================
2025-12-04T09:35:17.4355815Z  Package                       Arch   Version    Repository                Size
2025-12-04T09:35:17.4356626Z ================================================================================
2025-12-04T09:35:17.4356910Z Downgrading:
2025-12-04T09:35:17.4357267Z  libnvidia-container-tools     x86_64 1.17.8-1   nvidia-container-toolkit  40 k
2025-12-04T09:35:17.4357812Z  libnvidia-container1          x86_64 1.17.8-1   nvidia-container-toolkit 1.0 M
2025-12-04T09:35:17.4358412Z  nvidia-container-toolkit      x86_64 1.17.8-1   nvidia-container-toolkit 1.2 M
2025-12-04T09:35:17.4359269Z  nvidia-container-toolkit-base x86_64 1.17.8-1   nvidia-container-toolkit 5.8 M
2025-12-04T09:35:17.4359651Z 
2025-12-04T09:35:17.4359737Z Transaction Summary
2025-12-04T09:35:17.4360026Z ================================================================================
2025-12-04T09:35:17.4360511Z Downgrade  4 Packages
2025-12-04T09:35:17.4360736Z 
2025-12-04T09:35:17.4360840Z Total download size: 8.0 M
2025-12-04T09:35:17.4361085Z Downloading Packages:
2025-12-04T09:35:17.4995562Z (1/4): libnvidia-container-tools-1.17.8-1.x86_6 651 kB/s |  40 kB     00:00    
2025-12-04T09:35:17.5473365Z (2/4): libnvidia-container1-1.17.8-1.x86_64.rpm 8.9 MB/s | 1.0 MB     00:00    
2025-12-04T09:35:17.5994688Z (3/4): nvidia-container-toolkit-1.17.8-1.x86_64 7.6 MB/s | 1.2 MB     00:00    
2025-12-04T09:35:17.7566658Z (4/4): nvidia-container-toolkit-base-1.17.8-1.x  22 MB/s | 5.8 MB     00:00    
2025-12-04T09:35:17.7577352Z --------------------------------------------------------------------------------
2025-12-04T09:35:17.7580583Z Total                                            25 MB/s | 8.0 MB     00:00     
2025-12-04T09:35:17.7583519Z Running transaction check
2025-12-04T09:35:17.7704312Z Transaction check succeeded.
2025-12-04T09:35:17.7704840Z Running transaction test
2025-12-04T09:35:17.8282016Z Transaction test succeeded.
2025-12-04T09:35:17.8284735Z Running transaction
2025-12-04T09:35:18.6994983Z   Preparing        :                                                        1/1 
2025-12-04T09:35:18.8179333Z   Downgrading      : nvidia-container-toolkit-base-1.17.8-1.x86_64          1/8 
2025-12-04T09:35:18.8432445Z   Downgrading      : libnvidia-container1-1.17.8-1.x86_64                   2/8 
2025-12-04T09:35:18.8975189Z   Running scriptlet: libnvidia-container1-1.17.8-1.x86_64                   2/8 
2025-12-04T09:35:19.0211278Z   Downgrading      : libnvidia-container-tools-1.17.8-1.x86_64              3/8 
2025-12-04T09:35:19.0341656Z   Downgrading      : nvidia-container-toolkit-1.17.8-1.x86_64               4/8 
2025-12-04T09:35:19.1179147Z   Running scriptlet: nvidia-container-toolkit-1.17.8-1.x86_64               4/8 
2025-12-04T09:35:19.1252156Z   Running scriptlet: nvidia-container-toolkit-1.18.1-1.x86_64               5/8 
2025-12-04T09:35:19.1252746Z   Cleanup          : nvidia-container-toolkit-1.18.1-1.x86_64               5/8 
2025-12-04T09:35:19.1634112Z   Running scriptlet: nvidia-container-toolkit-1.18.1-1.x86_64               5/8 
2025-12-04T09:35:19.1704043Z   Running scriptlet: libnvidia-container-tools-1.18.1-1.x86_64              6/8 
2025-12-04T09:35:19.1704633Z   Cleanup          : libnvidia-container-tools-1.18.1-1.x86_64              6/8 
2025-12-04T09:35:19.1960502Z   Running scriptlet: libnvidia-container-tools-1.18.1-1.x86_64              6/8 
2025-12-04T09:35:19.2036227Z   Running scriptlet: libnvidia-container1-1.18.1-1.x86_64                   7/8 
2025-12-04T09:35:19.2036759Z   Cleanup          : libnvidia-container1-1.18.1-1.x86_64                   7/8 
2025-12-04T09:35:19.2295054Z   Running scriptlet: libnvidia-container1-1.18.1-1.x86_64                   7/8 
2025-12-04T09:35:19.2368293Z   Running scriptlet: nvidia-container-toolkit-base-1.18.1-1.x86_64          8/8 
2025-12-04T09:35:19.2368901Z   Cleanup          : nvidia-container-toolkit-base-1.18.1-1.x86_64          8/8 
2025-12-04T09:35:19.2622473Z   Running scriptlet: nvidia-container-toolkit-base-1.18.1-1.x86_64          8/8 
2025-12-04T09:35:19.3352024Z   Running scriptlet: nvidia-container-toolkit-1.17.8-1.x86_64               8/8 
2025-12-04T09:35:39.1526881Z   Running scriptlet: nvidia-container-toolkit-base-1.18.1-1.x86_64          8/8 
2025-12-04T09:35:39.1528475Z   Verifying        : libnvidia-container-tools-1.17.8-1.x86_64              1/8 
2025-12-04T09:35:39.1543407Z   Verifying        : libnvidia-container-tools-1.18.1-1.x86_64              2/8 
2025-12-04T09:35:39.1544053Z   Verifying        : libnvidia-container1-1.17.8-1.x86_64                   3/8 
2025-12-04T09:35:39.1544576Z   Verifying        : libnvidia-container1-1.18.1-1.x86_64                   4/8 
2025-12-04T09:35:39.1545176Z   Verifying        : nvidia-container-toolkit-1.17.8-1.x86_64               5/8 
2025-12-04T09:35:39.1545702Z   Verifying        : nvidia-container-toolkit-1.18.1-1.x86_64               6/8 
2025-12-04T09:35:39.1546262Z   Verifying        : nvidia-container-toolkit-base-1.17.8-1.x86_64          7/8 
2025-12-04T09:35:39.3190368Z   Verifying        : nvidia-container-toolkit-base-1.18.1-1.x86_64          8/8================================================================================
2025-12-04T09:35:39.3190948Z WARNING:
2025-12-04T09:35:39.3191182Z   A newer release of "Amazon Linux" is available.
2025-12-04T09:35:39.3191420Z 
2025-12-04T09:35:39.3191509Z   Available Versions:
2025-12-04T09:35:39.3191661Z 
2025-12-04T09:35:39.3191752Z   Version 2023.9.20250929:
2025-12-04T09:35:39.3192064Z     Run the following command to upgrade to 2023.9.20250929:
2025-12-04T09:35:39.3192310Z 
2025-12-04T09:35:39.3192434Z       dnf upgrade --releasever=2023.9.20250929
2025-12-04T09:35:39.3192649Z 
2025-12-04T09:35:39.3192729Z     Release notes:
2025-12-04T09:35:39.3193136Z      https://docs.aws.amazon.com/linux/al2023/release-notes/relnotes-2023.9.20250929.html
2025-12-04T09:35:39.3193506Z 
2025-12-04T09:35:39.3193853Z   Version 2023.9.20251014:
2025-12-04T09:35:39.3194165Z     Run the following command to upgrade to 2023.9.20251014:
2025-12-04T09:35:39.3194424Z 
2025-12-04T09:35:39.3194543Z       dnf upgrade --releasever=2023.9.20251014
2025-12-04T09:35:39.3194756Z 
2025-12-04T09:35:39.3194846Z     Release notes:
2025-12-04T09:35:39.3195231Z      https://docs.aws.amazon.com/linux/al2023/release-notes/relnotes-2023.9.20251014.html
2025-12-04T09:35:39.3195601Z 
2025-12-04T09:35:39.3195692Z   Version 2023.9.20251020:
2025-12-04T09:35:39.3196003Z     Run the following command to upgrade to 2023.9.20251020:
2025-12-04T09:35:39.3196246Z 
2025-12-04T09:35:39.3196366Z       dnf upgrade --releasever=2023.9.20251020
2025-12-04T09:35:39.3196570Z 
2025-12-04T09:35:39.3196652Z     Release notes:
2025-12-04T09:35:39.3197044Z      https://docs.aws.amazon.com/linux/al2023/release-notes/relnotes-2023.9.20251020.html
2025-12-04T09:35:39.3197401Z 
2025-12-04T09:35:39.3197497Z   Version 2023.9.20251027:
2025-12-04T09:35:39.3197803Z     Run the following command to upgrade to 2023.9.20251027:
2025-12-04T09:35:39.3198056Z 
2025-12-04T09:35:39.3198170Z       dnf upgrade --releasever=2023.9.20251027
2025-12-04T09:35:39.3198380Z 
2025-12-04T09:35:39.3198463Z     Release notes:
2025-12-04T09:35:39.3198855Z      https://docs.aws.amazon.com/linux/al2023/release-notes/relnotes-2023.9.20251027.html
2025-12-04T09:35:39.3199211Z 
2025-12-04T09:35:39.3199300Z   Version 2023.9.20251105:
2025-12-04T09:35:39.3199606Z     Run the following command to upgrade to 2023.9.20251105:
2025-12-04T09:35:39.3199847Z 
2025-12-04T09:35:39.3199968Z       dnf upgrade --releasever=2023.9.20251105
2025-12-04T09:35:39.3200168Z 
2025-12-04T09:35:39.3200262Z     Release notes:
2025-12-04T09:35:39.3200645Z      https://docs.aws.amazon.com/linux/al2023/release-notes/relnotes-2023.9.20251105.html
2025-12-04T09:35:39.3201006Z 
2025-12-04T09:35:39.3201096Z   Version 2023.9.20251110:
2025-12-04T09:35:39.3201399Z     Run the following command to upgrade to 2023.9.20251110:
2025-12-04T09:35:39.3201646Z 
2025-12-04T09:35:39.3201760Z       dnf upgrade --releasever=2023.9.20251110
2025-12-04T09:35:39.3201974Z 
2025-12-04T09:35:39.3202055Z     Release notes:
2025-12-04T09:35:39.3202597Z      https://docs.aws.amazon.com/linux/al2023/release-notes/relnotes-2023.9.20251110.html
2025-12-04T09:35:39.3203151Z 
2025-12-04T09:35:39.3203248Z   Version 2023.9.20251117:
2025-12-04T09:35:39.3203546Z     Run the following command to upgrade to 2023.9.20251117:
2025-12-04T09:35:39.3203796Z 
2025-12-04T09:35:39.3203910Z       dnf upgrade --releasever=2023.9.20251117
2025-12-04T09:35:39.3204112Z 
2025-12-04T09:35:39.3204201Z     Release notes:
2025-12-04T09:35:39.3204590Z      https://docs.aws.amazon.com/linux/al2023/release-notes/relnotes-2023.9.20251117.html
2025-12-04T09:35:39.3204945Z 
2025-12-04T09:35:39.3205060Z ================================================================================
2025-12-04T09:35:39.3769675Z  
2025-12-04T09:35:39.3769801Z 
2025-12-04T09:35:39.3769900Z Downgraded:
2025-12-04T09:35:39.3770260Z   libnvidia-container-tools-1.17.8-1.x86_64                                     
2025-12-04T09:35:39.3770809Z   libnvidia-container1-1.17.8-1.x86_64                                          
2025-12-04T09:35:39.3771352Z   nvidia-container-toolkit-1.17.8-1.x86_64                                      
2025-12-04T09:35:39.3771928Z   nvidia-container-toolkit-base-1.17.8-1.x86_64                                 
2025-12-04T09:35:39.3772261Z 
2025-12-04T09:35:39.3772343Z Complete!
2025-12-04T09:35:39.4542499Z + sudo systemctl restart docker
2025-12-04T09:35:47.8480688Z Thu Dec  4 09:35:47 2025       
2025-12-04T09:35:47.8481104Z +-----------------------------------------------------------------------------------------+
2025-12-04T09:35:47.8481608Z | NVIDIA-SMI 580.82.07              Driver Version: 580.82.07      CUDA Version: 13.0     |
2025-12-04T09:35:47.8482090Z +-----------------------------------------+------------------------+----------------------+
2025-12-04T09:35:47.8482921Z | GPU  Name                 Persistence-M | Bus-Id          Disp.A | Volatile Uncorr. ECC |
2025-12-04T09:35:47.8483457Z | Fan  Temp   Perf          Pwr:Usage/Cap |           Memory-Usage | GPU-Util  Compute M. |
2025-12-04T09:35:47.8483871Z |                                         |                        |               MIG M. |
2025-12-04T09:35:47.8484222Z |=========================================+========================+======================|
2025-12-04T09:35:47.8574004Z |   0  NVIDIA A10G                    On  |   00000000:00:1E.0 Off |                    0 |
2025-12-04T09:35:47.8574455Z |  0%   27C    P0             58W /  300W |       0MiB /  23028MiB |      4%      Default |
2025-12-04T09:35:47.8574826Z |                                         |                        |                  N/A |
2025-12-04T09:35:47.8575215Z +-----------------------------------------+------------------------+----------------------+
2025-12-04T09:35:47.8575515Z 
2025-12-04T09:35:47.8575716Z +-----------------------------------------------------------------------------------------+
2025-12-04T09:35:47.8576151Z | Processes:                                                                              |
2025-12-04T09:35:47.8576587Z |  GPU   GI   CI              PID   Type   Process name                        GPU Memory |
2025-12-04T09:35:47.8576993Z |        ID   ID                                                               Usage      |
2025-12-04T09:35:47.8577331Z |=========================================================================================|
2025-12-04T09:35:47.8579393Z |  No running processes found                                                             |
2025-12-04T09:35:47.8579863Z +-----------------------------------------------------------------------------------------+
2025-12-04T09:35:48.0445997Z Unable to find image 'public.ecr.aws/docker/library/python:3.13' locally
2025-12-04T09:35:48.2579503Z 3.13: Pulling from docker/library/python
2025-12-04T09:35:48.3361853Z 53c88f1dfeb7: Pulling fs layer
2025-12-04T09:35:48.3362254Z eae668646f44: Pulling fs layer
2025-12-04T09:35:48.3362610Z ff2e6e687b6c: Pulling fs layer
2025-12-04T09:35:48.3362958Z 7c40a3faff76: Pulling fs layer
2025-12-04T09:35:48.3363325Z 967a3b1c8fef: Pulling fs layer
2025-12-04T09:35:48.3363887Z a64e1a44f22a: Pulling fs layer
2025-12-04T09:35:48.3364189Z 52655f8a5bcc: Pulling fs layer
2025-12-04T09:35:48.3364529Z 7c40a3faff76: Waiting
2025-12-04T09:35:48.3364934Z a64e1a44f22a: Waiting
2025-12-04T09:35:48.3365217Z 967a3b1c8fef: Waiting
2025-12-04T09:35:48.4549798Z eae668646f44: Verifying Checksum
2025-12-04T09:35:48.4550226Z eae668646f44: Download complete
2025-12-04T09:35:48.5009937Z 53c88f1dfeb7: Download complete
2025-12-04T09:35:48.5544718Z ff2e6e687b6c: Verifying Checksum
2025-12-04T09:35:48.5545268Z ff2e6e687b6c: Download complete
2025-12-04T09:35:48.5652472Z 967a3b1c8fef: Verifying Checksum
2025-12-04T09:35:48.5652899Z 967a3b1c8fef: Download complete
2025-12-04T09:35:48.6302689Z 52655f8a5bcc: Download complete
2025-12-04T09:35:48.6832389Z a64e1a44f22a: Verifying Checksum
2025-12-04T09:35:48.6832733Z a64e1a44f22a: Download complete
2025-12-04T09:35:49.0873572Z 7c40a3faff76: Verifying Checksum
2025-12-04T09:35:49.0873930Z 7c40a3faff76: Download complete
2025-12-04T09:35:50.3075388Z 53c88f1dfeb7: Pull complete
2025-12-04T09:35:51.0530528Z eae668646f44: Pull complete
2025-12-04T09:35:53.5509456Z ff2e6e687b6c: Pull complete
2025-12-04T09:36:00.3842636Z 7c40a3faff76: Pull complete
2025-12-04T09:36:00.6802742Z 967a3b1c8fef: Pull complete
2025-12-04T09:36:01.4625017Z a64e1a44f22a: Pull complete
2025-12-04T09:36:01.4873909Z 52655f8a5bcc: Pull complete
2025-12-04T09:36:01.5008175Z Digest: sha256:3f986299a7b8b44b0d8cf9bda2b22361ce5c3058ef5d7cb17fb7452506680ab0
2025-12-04T09:36:01.5051399Z Status: Downloaded newer image for public.ecr.aws/docker/library/python:3.13
2025-12-04T09:36:08.6391021Z Thu Dec  4 09:36:08 2025       
2025-12-04T09:36:08.6391443Z +-----------------------------------------------------------------------------------------+
2025-12-04T09:36:08.6392224Z | NVIDIA-SMI 580.82.07              Driver Version: 580.82.07      CUDA Version: 13.0     |
2025-12-04T09:36:08.6392701Z +-----------------------------------------+------------------------+----------------------+
2025-12-04T09:36:08.6393208Z | GPU  Name                 Persistence-M | Bus-Id          Disp.A | Volatile Uncorr. ECC |
2025-12-04T09:36:08.6393727Z | Fan  Temp   Perf          Pwr:Usage/Cap |           Memory-Usage | GPU-Util  Compute M. |
2025-12-04T09:36:08.6394159Z |                                         |                        |               MIG M. |
2025-12-04T09:36:08.6394488Z |=========================================+========================+======================|
2025-12-04T09:36:08.6541163Z |   0  NVIDIA A10G                    On  |   00000000:00:1E.0 Off |                    0 |
2025-12-04T09:36:08.6541611Z |  0%   24C    P8             11W /  300W |       0MiB /  23028MiB |      0%      Default |
2025-12-04T09:36:08.6542010Z |                                         |                        |                  N/A |
2025-12-04T09:36:08.6542401Z +-----------------------------------------+------------------------+----------------------+
2025-12-04T09:36:08.6546457Z 
2025-12-04T09:36:08.6546743Z +-----------------------------------------------------------------------------------------+
2025-12-04T09:36:08.6547186Z | Processes:                                                                              |
2025-12-04T09:36:08.6547619Z |  GPU   GI   CI              PID   Type   Process name                        GPU Memory |
2025-12-04T09:36:08.6548014Z |        ID   ID                                                               Usage      |
2025-12-04T09:36:08.6548359Z |=========================================================================================|
2025-12-04T09:36:08.6552786Z |  No running processes found                                                             |
2025-12-04T09:36:08.6553262Z +-----------------------------------------------------------------------------------------+
2025-12-04T09:36:09.4469894Z Command completed after 1 attempt(s).
2025-12-04T09:36:09.4575831Z Prepare all required actions
2025-12-04T09:36:09.4604551Z ##[group]Run ./.github/actions/get-workflow-job-id
2025-12-04T09:36:09.4605031Z with:
2025-12-04T09:36:09.4605599Z   github-token: ***
2025-12-04T09:36:09.4605819Z env:
2025-12-04T09:36:09.4606020Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:36:09.4606278Z   HAS_NVIDIA_GPU: true
2025-12-04T09:36:09.4606575Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-12-04T09:36:09.4606908Z ##[endgroup]
2025-12-04T09:36:09.4621297Z ##[group]Run set -eux
2025-12-04T09:36:09.4621534Z set -eux
2025-12-04T09:36:09.4621931Z python3 .github/scripts/get_workflow_job_id.py "${GITHUB_RUN_ID}" "${RUNNER_NAME}"
2025-12-04T09:36:09.4637451Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:36:09.4637779Z env:
2025-12-04T09:36:09.4637973Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:36:09.4638212Z   HAS_NVIDIA_GPU: true
2025-12-04T09:36:09.4638530Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-12-04T09:36:09.4638979Z   GITHUB_TOKEN: ***
2025-12-04T09:36:09.4639189Z ##[endgroup]
2025-12-04T09:36:09.4681620Z + python3 .github/scripts/get_workflow_job_id.py 19922777333 i-075e7fbe9a561d9a2
2025-12-04T09:36:10.6245091Z Setting output job-id=57118472355
2025-12-04T09:36:10.6245667Z Setting output job-name=inductor-test / test (inductor, 1, 2, linux.g5.4xlarge.nvidia.gpu, rerun_disabled_tests)
2025-12-04T09:36:10.6359462Z ##[group]Run python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84
2025-12-04T09:36:10.6360147Z python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84
2025-12-04T09:36:10.6361022Z python3 -m tools.stats.monitor --log-interval "$MONITOR_LOG_INTERVAL" --data-collect-interval "$MONITOR_DATA_COLLECT_INTERVAL" > usage_log.txt 2>&1 &
2025-12-04T09:36:10.6361791Z echo "monitor-script-pid=${!}" >> "${GITHUB_OUTPUT}"
2025-12-04T09:36:10.6372527Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:36:10.6372872Z env:
2025-12-04T09:36:10.6373079Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:36:10.6373365Z   HAS_NVIDIA_GPU: true
2025-12-04T09:36:10.6373680Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-12-04T09:36:10.6374013Z   JOB_ID: 57118472355
2025-12-04T09:36:10.6374468Z   JOB_NAME: inductor-test / test (inductor, 1, 2, linux.g5.4xlarge.nvidia.gpu, rerun_disabled_tests)
2025-12-04T09:36:10.6374965Z   WORKFLOW_NAME: inductor-unittest
2025-12-04T09:36:10.6375236Z   WORKFLOW_RUN_ID: 19922777333
2025-12-04T09:36:10.6375491Z   MONITOR_LOG_INTERVAL: 5
2025-12-04T09:36:10.6375749Z   MONITOR_DATA_COLLECT_INTERVAL: 1
2025-12-04T09:36:10.6376009Z ##[endgroup]
2025-12-04T09:36:11.0233446Z Defaulting to user installation because normal site-packages is not writeable
2025-12-04T09:36:11.4341110Z Collecting psutil==5.9.8
2025-12-04T09:36:11.4516818Z   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)
2025-12-04T09:36:11.5312807Z Collecting dataclasses_json==0.6.7
2025-12-04T09:36:11.5354072Z   Downloading dataclasses_json-0.6.7-py3-none-any.whl (28 kB)
2025-12-04T09:36:11.5655655Z Collecting nvidia-ml-py==11.525.84
2025-12-04T09:36:11.5694138Z   Downloading nvidia_ml_py-11.525.84-py3-none-any.whl (34 kB)
2025-12-04T09:36:11.6966492Z Collecting marshmallow<4.0.0,>=3.18.0
2025-12-04T09:36:11.7004826Z   Downloading marshmallow-3.26.1-py3-none-any.whl (50 kB)
2025-12-04T09:36:11.7245446Z Collecting typing-inspect<1,>=0.4.0
2025-12-04T09:36:11.7283381Z   Downloading typing_inspect-0.9.0-py3-none-any.whl (8.8 kB)
2025-12-04T09:36:11.7860533Z Collecting packaging>=17.0
2025-12-04T09:36:11.7898401Z   Downloading packaging-25.0-py3-none-any.whl (66 kB)
2025-12-04T09:36:11.8143868Z Collecting mypy-extensions>=0.3.0
2025-12-04T09:36:11.8182150Z   Downloading mypy_extensions-1.1.0-py3-none-any.whl (5.0 kB)
2025-12-04T09:36:11.8700626Z Collecting typing-extensions>=3.7.4
2025-12-04T09:36:11.8738370Z   Downloading typing_extensions-4.15.0-py3-none-any.whl (44 kB)
2025-12-04T09:36:11.9600370Z Installing collected packages: typing-extensions, packaging, mypy-extensions, typing-inspect, marshmallow, psutil, nvidia-ml-py, dataclasses-json
2025-12-04T09:36:12.2359182Z Successfully installed dataclasses-json-0.6.7 marshmallow-3.26.1 mypy-extensions-1.1.0 nvidia-ml-py-11.525.84 packaging-25.0 psutil-5.9.8 typing-extensions-4.15.0 typing-inspect-0.9.0
2025-12-04T09:36:12.4336322Z Prepare all required actions
2025-12-04T09:36:12.4336773Z Getting action download info
2025-12-04T09:36:12.6523754Z Download action repository 'seemethere/download-artifact-s3@v4' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6)
2025-12-04T09:36:12.9671398Z Download action repository 'actions/download-artifact@v4' (SHA:d3f86a106a0bac45b974a628896c90dbdf5c8093)
2025-12-04T09:36:13.3429129Z ##[group]Run ./.github/actions/download-build-artifacts
2025-12-04T09:36:13.3429469Z with:
2025-12-04T09:36:13.3429714Z   name: linux-jammy-cuda12.8-py3.10-gcc11-sm86
2025-12-04T09:36:13.3430043Z   s3-bucket: gha-artifacts
2025-12-04T09:36:13.3430296Z env:
2025-12-04T09:36:13.3430498Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:36:13.3430765Z   HAS_NVIDIA_GPU: true
2025-12-04T09:36:13.3431064Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-12-04T09:36:13.3431397Z ##[endgroup]
2025-12-04T09:36:13.3487808Z ##[group]Run seemethere/download-artifact-s3@v4
2025-12-04T09:36:13.3488115Z with:
2025-12-04T09:36:13.3488384Z   name: linux-jammy-cuda12.8-py3.10-gcc11-sm86
2025-12-04T09:36:13.3488694Z   s3-bucket: gha-artifacts
2025-12-04T09:36:13.3488941Z   region: us-east-1
2025-12-04T09:36:13.3489141Z env:
2025-12-04T09:36:13.3489328Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:36:13.3489563Z   HAS_NVIDIA_GPU: true
2025-12-04T09:36:13.3489857Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-12-04T09:36:13.3490178Z ##[endgroup]
2025-12-04T09:36:13.8112840Z (node:59909) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023.
2025-12-04T09:36:13.8113295Z 
2025-12-04T09:36:13.8113472Z Please migrate your code to use AWS SDK for JavaScript (v3).
2025-12-04T09:36:13.8113987Z For more information, check the migration guide at https://a.co/7PzMCcy
2025-12-04T09:36:13.8114509Z (Use `node --trace-warnings ...` to show where the warning was created)
2025-12-04T09:36:14.0191791Z Found 1 objects with prefix pytorch/pytorch/19922777333/linux-jammy-cuda12.8-py3.10-gcc11-sm86/
2025-12-04T09:36:14.0192518Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip
2025-12-04T09:36:28.4386005Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip
2025-12-04T09:36:28.4392911Z Artifact download has finished successfully
2025-12-04T09:36:28.4755018Z ##[group]Run unzip -o artifacts.zip
2025-12-04T09:36:28.4755324Z unzip -o artifacts.zip
2025-12-04T09:36:28.4764313Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:36:28.4764656Z env:
2025-12-04T09:36:28.4764854Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:36:28.4765107Z   HAS_NVIDIA_GPU: true
2025-12-04T09:36:28.4765402Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-12-04T09:36:28.4765739Z ##[endgroup]
2025-12-04T09:36:28.4838172Z Archive:  artifacts.zip
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2025-12-04T09:36:39.5558787Z    creating: .additional_ci_files/
2025-12-04T09:36:39.5624330Z   inflating: .additional_ci_files/test-times.json  
2025-12-04T09:36:39.5861837Z   inflating: .additional_ci_files/test-class-times.json  
2025-12-04T09:36:39.5895643Z ##[group]Run rm artifacts.zip
2025-12-04T09:36:39.5895927Z rm artifacts.zip
2025-12-04T09:36:39.5907245Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:36:39.5907582Z env:
2025-12-04T09:36:39.5907946Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:36:39.5908192Z   HAS_NVIDIA_GPU: true
2025-12-04T09:36:39.5908482Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-12-04T09:36:39.5908801Z ##[endgroup]
2025-12-04T09:36:39.8164561Z ##[group]Run df -H
2025-12-04T09:36:39.8164803Z df -H
2025-12-04T09:36:39.8174038Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:36:39.8174384Z env:
2025-12-04T09:36:39.8174580Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:36:39.8174819Z   HAS_NVIDIA_GPU: true
2025-12-04T09:36:39.8175100Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-12-04T09:36:39.8175420Z ##[endgroup]
2025-12-04T09:36:39.8245670Z Filesystem        Size  Used Avail Use% Mounted on
2025-12-04T09:36:39.8246069Z devtmpfs          4.2M     0  4.2M   0% /dev
2025-12-04T09:36:39.8246377Z tmpfs              34G     0   34G   0% /dev/shm
2025-12-04T09:36:39.8246689Z tmpfs              14G  562k   14G   1% /run
2025-12-04T09:36:39.8247001Z /dev/nvme0n1p1    161G   87G   75G  54% /
2025-12-04T09:36:39.8247295Z tmpfs              34G   17k   34G   1% /tmp
2025-12-04T09:36:39.8247621Z /dev/nvme0n1p128   11M  1.4M  9.2M  13% /boot/efi
2025-12-04T09:36:39.8247954Z tmpfs             6.7G     0  6.7G   0% /run/user/0
2025-12-04T09:36:39.8285553Z Prepare all required actions
2025-12-04T09:36:39.8287319Z Getting action download info
2025-12-04T09:36:39.9922114Z ##[group]Run ./.github/actions/download-td-artifacts
2025-12-04T09:36:39.9922442Z with:
2025-12-04T09:36:39.9922610Z env:
2025-12-04T09:36:39.9922801Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:36:39.9923039Z   HAS_NVIDIA_GPU: true
2025-12-04T09:36:39.9923318Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-12-04T09:36:39.9923655Z ##[endgroup]
2025-12-04T09:36:39.9949687Z ##[group]Run seemethere/download-artifact-s3@v4
2025-12-04T09:36:39.9950001Z with:
2025-12-04T09:36:39.9950188Z   name: td_results
2025-12-04T09:36:39.9950419Z   s3-bucket: gha-artifacts
2025-12-04T09:36:39.9950672Z   region: us-east-1
2025-12-04T09:36:39.9950878Z env:
2025-12-04T09:36:39.9951079Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:36:39.9951329Z   HAS_NVIDIA_GPU: true
2025-12-04T09:36:39.9951625Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-12-04T09:36:39.9951999Z ##[endgroup]
2025-12-04T09:36:40.4681983Z (node:59940) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023.
2025-12-04T09:36:40.4682431Z 
2025-12-04T09:36:40.4682606Z Please migrate your code to use AWS SDK for JavaScript (v3).
2025-12-04T09:36:40.4683099Z For more information, check the migration guide at https://a.co/7PzMCcy
2025-12-04T09:36:40.4683610Z (Use `node --trace-warnings ...` to show where the warning was created)
2025-12-04T09:36:40.5766335Z Found 0 objects with prefix pytorch/pytorch/19922777333/td_results/
2025-12-04T09:36:40.5772324Z Artifact download has finished successfully
2025-12-04T09:36:40.6115498Z ##[group]Run mkdir -p .additional_ci_files
2025-12-04T09:36:40.6115844Z mkdir -p .additional_ci_files
2025-12-04T09:36:40.6116236Z mv td_results.json .additional_ci_files/td_results.json || true
2025-12-04T09:36:40.6126785Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:36:40.6127110Z env:
2025-12-04T09:36:40.6127322Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:36:40.6127564Z   HAS_NVIDIA_GPU: true
2025-12-04T09:36:40.6127843Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-12-04T09:36:40.6128162Z ##[endgroup]
2025-12-04T09:36:40.6207945Z mv: cannot stat 'td_results.json': No such file or directory
2025-12-04T09:36:40.6266108Z ##[group]Run .github/scripts/parse_ref.py
2025-12-04T09:36:40.6266474Z .github/scripts/parse_ref.py
2025-12-04T09:36:40.6275537Z shell: /usr/bin/bash -e {0}
2025-12-04T09:36:40.6275774Z env:
2025-12-04T09:36:40.6275972Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:36:40.6276223Z   HAS_NVIDIA_GPU: true
2025-12-04T09:36:40.6276505Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-12-04T09:36:40.6276830Z ##[endgroup]
2025-12-04T09:36:40.6521465Z Setting output branch=main
2025-12-04T09:36:40.6647401Z Prepare all required actions
2025-12-04T09:36:40.6647759Z Getting action download info
2025-12-04T09:36:40.7972662Z ##[group]Run ./.github/actions/filter-test-configs
2025-12-04T09:36:40.7972974Z with:
2025-12-04T09:36:40.7973339Z   github-token: ***
2025-12-04T09:36:40.7975656Z   test-matrix: {"include": [{"config": "inductor", "shard": 1, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "inductor", "shard": 2, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "inductor_distributed", "shard": 1, "num_shards": 1, "runner": "linux.g5.12xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "inductor_cpp_wrapper", "shard": 1, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "inductor_cpp_wrapper", "shard": 2, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests"}]}
2025-12-04T09:36:40.7978205Z   job-name: inductor-test / test (inductor, 1, 2, linux.g5.4xlarge.nvidia.gpu, rerun_disabled_tests)
2025-12-04T09:36:40.7978673Z env:
2025-12-04T09:36:40.7978864Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:36:40.7979115Z   HAS_NVIDIA_GPU: true
2025-12-04T09:36:40.7979420Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-12-04T09:36:40.7979745Z ##[endgroup]
2025-12-04T09:36:40.8013571Z ##[group]Run nick-fields/retry@v3.0.0
2025-12-04T09:36:40.8013862Z with:
2025-12-04T09:36:40.8014069Z   shell: bash
2025-12-04T09:36:40.8014308Z   timeout_minutes: 10
2025-12-04T09:36:40.8014563Z   max_attempts: 5
2025-12-04T09:36:40.8014796Z   retry_wait_seconds: 30
2025-12-04T09:36:40.8015532Z   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

2025-12-04T09:36:40.8016296Z   polling_interval_seconds: 1
2025-12-04T09:36:40.8016563Z   warning_on_retry: true
2025-12-04T09:36:40.8016829Z   continue_on_error: false
2025-12-04T09:36:40.8017084Z env:
2025-12-04T09:36:40.8017288Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:36:40.8017561Z   HAS_NVIDIA_GPU: true
2025-12-04T09:36:40.8017878Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-12-04T09:36:40.8018356Z   GITHUB_TOKEN: ***
2025-12-04T09:36:40.8018591Z ##[endgroup]
2025-12-04T09:36:40.9067995Z + python3 -m pip install requests==2.27.1 pyyaml==6.0.2
2025-12-04T09:36:41.1417241Z Defaulting to user installation because normal site-packages is not writeable
2025-12-04T09:36:41.2666553Z Collecting requests==2.27.1
2025-12-04T09:36:41.2827309Z   Downloading requests-2.27.1-py2.py3-none-any.whl (63 kB)
2025-12-04T09:36:41.4803005Z Collecting pyyaml==6.0.2
2025-12-04T09:36:41.4840826Z   Downloading PyYAML-6.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (737 kB)
2025-12-04T09:36:41.9457316Z Collecting charset-normalizer~=2.0.0
2025-12-04T09:36:41.9494351Z   Downloading charset_normalizer-2.0.12-py3-none-any.whl (39 kB)
2025-12-04T09:36:41.9548505Z Requirement already satisfied: idna<4,>=2.5 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (2.10)
2025-12-04T09:36:41.9551979Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (1.25.10)
2025-12-04T09:36:42.0071032Z Collecting certifi>=2017.4.17
2025-12-04T09:36:42.0108102Z   Downloading certifi-2025.11.12-py3-none-any.whl (159 kB)
2025-12-04T09:36:42.0983664Z Installing collected packages: charset-normalizer, certifi, requests, pyyaml
2025-12-04T09:36:42.2191093Z Successfully installed certifi-2025.11.12 charset-normalizer-2.0.12 pyyaml-6.0.2 requests-2.27.1
2025-12-04T09:36:42.8812701Z Command completed after 1 attempt(s).
2025-12-04T09:36:42.8879414Z ##[group]Run set -x
2025-12-04T09:36:42.8879655Z set -x
2025-12-04T09:36:42.8879869Z 
2025-12-04T09:36:42.8880420Z # Use relative path here as this could be checked out anywhere, not necessarily
2025-12-04T09:36:42.8880872Z # in runner workspace
2025-12-04T09:36:42.8881245Z python3 "${GITHUB_ACTION_PATH}/../../scripts/parse_ref.py"
2025-12-04T09:36:42.8890420Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:36:42.8890759Z env:
2025-12-04T09:36:42.8890954Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:36:42.8891189Z   HAS_NVIDIA_GPU: true
2025-12-04T09:36:42.8891474Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-12-04T09:36:42.8891799Z ##[endgroup]
2025-12-04T09:36:42.8924075Z + python3 /home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/filter-test-configs/../../scripts/parse_ref.py
2025-12-04T09:36:42.9107446Z Setting output branch=main
2025-12-04T09:36:42.9162799Z ##[group]Run echo "Workflow: ${GITHUB_WORKFLOW}"
2025-12-04T09:36:42.9163178Z echo "Workflow: ${GITHUB_WORKFLOW}"
2025-12-04T09:36:42.9163485Z echo "Job name: ${JOB_NAME}"
2025-12-04T09:36:42.9163759Z 
2025-12-04T09:36:42.9164102Z # Use relative path here as this could be checked out anywhere, not necessarily
2025-12-04T09:36:42.9164534Z # in runner workspace
2025-12-04T09:36:42.9164922Z python3 "${GITHUB_ACTION_PATH}/../../scripts/filter_test_configs.py" \
2025-12-04T09:36:42.9165349Z   --workflow "${GITHUB_WORKFLOW}" \
2025-12-04T09:36:42.9165653Z   --job-name "${JOB_NAME}" \
2025-12-04T09:36:42.9168226Z   --test-matrix "{"include": [{"config": "inductor", "shard": 1, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "inductor", "shard": 2, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "inductor_distributed", "shard": 1, "num_shards": 1, "runner": "linux.g5.12xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "inductor_cpp_wrapper", "shard": 1, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "inductor_cpp_wrapper", "shard": 2, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests"}]}" \
2025-12-04T09:36:42.9171000Z   --selected-test-configs "" \
2025-12-04T09:36:42.9171307Z   --pr-number "${PR_NUMBER}" \
2025-12-04T09:36:42.9171589Z   --tag "${TAG}" \
2025-12-04T09:36:42.9171846Z   --event-name "${EVENT_NAME}" \
2025-12-04T09:36:42.9172138Z   --schedule "${SCHEDULE}" \
2025-12-04T09:36:42.9172421Z   --branch "${HEAD_BRANCH}"
2025-12-04T09:36:42.9181601Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:36:42.9181938Z env:
2025-12-04T09:36:42.9182132Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:36:42.9182367Z   HAS_NVIDIA_GPU: true
2025-12-04T09:36:42.9182649Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-12-04T09:36:42.9183181Z   GITHUB_TOKEN: ***
2025-12-04T09:36:42.9183605Z   JOB_NAME: inductor-test / test (inductor, 1, 2, linux.g5.4xlarge.nvidia.gpu, rerun_disabled_tests)
2025-12-04T09:36:42.9184068Z   PR_NUMBER: 
2025-12-04T09:36:42.9184269Z   TAG: 
2025-12-04T09:36:42.9184464Z   EVENT_NAME: schedule
2025-12-04T09:36:42.9184743Z   SCHEDULE: 29 8 * * *
2025-12-04T09:36:42.9184974Z   HEAD_BRANCH: main
2025-12-04T09:36:42.9185251Z ##[endgroup]
2025-12-04T09:36:42.9215715Z Workflow: inductor-unittest
2025-12-04T09:36:42.9216186Z Job name: inductor-test / test (inductor, 1, 2, linux.g5.4xlarge.nvidia.gpu, rerun_disabled_tests)
2025-12-04T09:36:43.1200041Z Setting output keep-going=True
2025-12-04T09:36:43.1200394Z Setting output ci-verbose-test-logs=False
2025-12-04T09:36:43.1200714Z Setting output ci-test-showlocals=False
2025-12-04T09:36:43.1201029Z Setting output ci-no-test-timeout=False
2025-12-04T09:36:43.1201329Z Setting output ci-no-td=False
2025-12-04T09:36:43.1201614Z Setting output ci-td-distributed=False
2025-12-04T09:36:43.1202785Z Setting output is-unstable=False
2025-12-04T09:36:43.1203089Z Setting output reenabled-issues=
2025-12-04T09:36:43.1205562Z Setting output test-matrix={"include": [{"config": "inductor", "shard": 1, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "inductor", "shard": 2, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "inductor_distributed", "shard": 1, "num_shards": 1, "runner": "linux.g5.12xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "inductor_cpp_wrapper", "shard": 1, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "inductor_cpp_wrapper", "shard": 2, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests"}]}
2025-12-04T09:36:43.1208047Z Setting output is-test-matrix-empty=False
2025-12-04T09:36:43.1327513Z ##[group]Run echo "Filtered matrix:"
2025-12-04T09:36:43.1327831Z echo "Filtered matrix:"
2025-12-04T09:36:43.1330146Z echo "{"include": [{"config": "inductor", "shard": 1, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "inductor", "shard": 2, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "inductor_distributed", "shard": 1, "num_shards": 1, "runner": "linux.g5.12xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "inductor_cpp_wrapper", "shard": 1, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "inductor_cpp_wrapper", "shard": 2, "num_shards": 2, "runner": "linux.g5.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests"}]}"
2025-12-04T09:36:43.1332458Z 
2025-12-04T09:36:43.1332640Z echo
2025-12-04T09:36:43.1332896Z echo "Is the current job unstable? False"
2025-12-04T09:36:43.1333201Z 
2025-12-04T09:36:43.1333383Z echo
2025-12-04T09:36:43.1333622Z echo "Is keep-going label set? True"
2025-12-04T09:36:43.1333904Z 
2025-12-04T09:36:43.1334084Z echo
2025-12-04T09:36:43.1334290Z echo "Reenabled issues? "
2025-12-04T09:36:43.1343288Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:36:43.1343624Z env:
2025-12-04T09:36:43.1343815Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:36:43.1344052Z   HAS_NVIDIA_GPU: true
2025-12-04T09:36:43.1344336Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-12-04T09:36:43.1344659Z ##[endgroup]
2025-12-04T09:36:43.1373550Z Filtered matrix:
2025-12-04T09:36:43.1375991Z {include: [{config: inductor, shard: 1, num_shards: 2, runner: linux.g5.4xlarge.nvidia.gpu, rerun_disabled_tests: rerun_disabled_tests}, {config: inductor, shard: 2, num_shards: 2, runner: linux.g5.4xlarge.nvidia.gpu, rerun_disabled_tests: rerun_disabled_tests}, {config: inductor_distributed, shard: 1, num_shards: 1, runner: linux.g5.12xlarge.nvidia.gpu, rerun_disabled_tests: rerun_disabled_tests}, {config: inductor_cpp_wrapper, shard: 1, num_shards: 2, runner: linux.g5.4xlarge.nvidia.gpu, rerun_disabled_tests: rerun_disabled_tests}, {config: inductor_cpp_wrapper, shard: 2, num_shards: 2, runner: linux.g5.4xlarge.nvidia.gpu, rerun_disabled_tests: rerun_disabled_tests}]}
2025-12-04T09:36:43.1378251Z 
2025-12-04T09:36:43.1378376Z Is the current job unstable? False
2025-12-04T09:36:43.1378562Z 
2025-12-04T09:36:43.1378662Z Is keep-going label set? True
2025-12-04T09:36:43.1379037Z 
2025-12-04T09:36:43.1379119Z Reenabled issues? 
2025-12-04T09:36:43.1412325Z ##[group]Run echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}"
2025-12-04T09:36:43.1412822Z echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}"
2025-12-04T09:36:43.1421776Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:36:43.1422118Z env:
2025-12-04T09:36:43.1422309Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:36:43.1422544Z   HAS_NVIDIA_GPU: true
2025-12-04T09:36:43.1422837Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-12-04T09:36:43.1423158Z   JOB_TIMEOUT: 240
2025-12-04T09:36:43.1423368Z ##[endgroup]
2025-12-04T09:36:43.1498060Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-12-04T09:36:43.1498553Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-12-04T09:36:43.1498977Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-12-04T09:36:43.1507959Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:36:43.1508303Z env:
2025-12-04T09:36:43.1508495Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:36:43.1508736Z   HAS_NVIDIA_GPU: true
2025-12-04T09:36:43.1509021Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-12-04T09:36:43.1509340Z ##[endgroup]
2025-12-04T09:36:43.1620141Z ##[group]Run set -x
2025-12-04T09:36:43.1620453Z set -x
2025-12-04T09:36:43.1620667Z 
2025-12-04T09:36:43.1620907Z if [[ $TEST_CONFIG == 'multigpu' ]]; then
2025-12-04T09:36:43.1621265Z   TEST_COMMAND=.ci/pytorch/multigpu-test.sh
2025-12-04T09:36:43.1621640Z elif [[ $BUILD_ENVIRONMENT == *onnx* ]]; then
2025-12-04T09:36:43.1621984Z   TEST_COMMAND=.ci/onnx/test.sh
2025-12-04T09:36:43.1622265Z else
2025-12-04T09:36:43.1622505Z   TEST_COMMAND=.ci/pytorch/test.sh
2025-12-04T09:36:43.1622801Z fi
2025-12-04T09:36:43.1622991Z 
2025-12-04T09:36:43.1623244Z # Leaving 1GB for the runner and other things
2025-12-04T09:36:43.1623796Z TOTAL_AVAILABLE_MEMORY_IN_GB=$(awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo)
2025-12-04T09:36:43.1624582Z # https://docs.docker.com/engine/containers/resource_constraints/#--memory-swap-details, the 3GB swap
2025-12-04T09:36:43.1625300Z # comes from https://github.com/pytorch/test-infra/pull/6058
2025-12-04T09:36:43.1625795Z TOTAL_MEMORY_WITH_SWAP=$(("${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}" + 3))
2025-12-04T09:36:43.1626182Z 
2025-12-04T09:36:43.1626426Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then
2025-12-04T09:36:43.1626748Z   SHM_OPTS=
2025-12-04T09:36:43.1626985Z   JENKINS_USER=
2025-12-04T09:36:43.1627304Z   # ensure that docker container cleanly exits in 12 hours
2025-12-04T09:36:43.1627738Z   # if for some reason cleanup action doesn't stop container
2025-12-04T09:36:43.1628102Z   # when job is cancelled
2025-12-04T09:36:43.1628394Z   DOCKER_SHELL_CMD="sleep 12h"
2025-12-04T09:36:43.1628697Z   USED_IMAGE="${DOCKER_IMAGE_S390X}"
2025-12-04T09:36:43.1628983Z else
2025-12-04T09:36:43.1629223Z   SHM_OPTS="--shm-size=${SHM_SIZE}"
2025-12-04T09:36:43.1629531Z   JENKINS_USER="--user jenkins"
2025-12-04T09:36:43.1629825Z   DOCKER_SHELL_CMD=
2025-12-04T09:36:43.1630096Z   USED_IMAGE="${DOCKER_IMAGE}"
2025-12-04T09:36:43.1630370Z fi
2025-12-04T09:36:43.1630562Z 
2025-12-04T09:36:43.1630873Z # detached container should get cleaned up by teardown_ec2_linux
2025-12-04T09:36:43.1631405Z # TODO: Stop building test binaries as part of the build phase
2025-12-04T09:36:43.1631950Z # Used for GPU_FLAG, SHM_OPTS, JENKINS_USER and DOCKER_SHELL_CMD since that doesn't play nice
2025-12-04T09:36:43.1632433Z # shellcheck disable=SC2086,SC2090
2025-12-04T09:36:43.1632749Z container_name=$(docker run \
2025-12-04T09:36:43.1633221Z   ${GPU_FLAG:-} \
2025-12-04T09:36:43.1633509Z   ${SCCACHE_SERVER_PORT_DOCKER_FLAG:-} \
2025-12-04T09:36:43.1633826Z   -e BUILD_ENVIRONMENT \
2025-12-04T09:36:43.1634113Z   -e PR_NUMBER \
2025-12-04T09:36:43.1634384Z   -e GITHUB_ACTIONS \
2025-12-04T09:36:43.1634651Z   -e GITHUB_REPOSITORY \
2025-12-04T09:36:43.1634934Z   -e GITHUB_WORKFLOW \
2025-12-04T09:36:43.1635205Z   -e GITHUB_JOB \
2025-12-04T09:36:43.1635464Z   -e GITHUB_RUN_ID \
2025-12-04T09:36:43.1635720Z   -e GITHUB_RUN_NUMBER \
2025-12-04T09:36:43.1636009Z   -e GITHUB_RUN_ATTEMPT \
2025-12-04T09:36:43.1636286Z   -e JOB_ID \
2025-12-04T09:36:43.1636524Z   -e JOB_NAME \
2025-12-04T09:36:43.1636769Z   -e BASE_SHA \
2025-12-04T09:36:43.1637008Z   -e BRANCH \
2025-12-04T09:36:43.1637237Z   -e SHA1 \
2025-12-04T09:36:43.1637487Z   -e AWS_DEFAULT_REGION \
2025-12-04T09:36:43.1637772Z   -e IN_WHEEL_TEST \
2025-12-04T09:36:43.1638036Z   -e SHARD_NUMBER \
2025-12-04T09:36:43.1638300Z   -e TEST_CONFIG \
2025-12-04T09:36:43.1638573Z   -e NUM_TEST_SHARDS \
2025-12-04T09:36:43.1638968Z   -e REENABLED_ISSUES \
2025-12-04T09:36:43.1639258Z   -e CONTINUE_THROUGH_ERROR \
2025-12-04T09:36:43.1639563Z   -e VERBOSE_TEST_LOGS \
2025-12-04T09:36:43.1639857Z   -e TEST_SHOWLOCALS \
2025-12-04T09:36:43.1640127Z   -e NO_TEST_TIMEOUT \
2025-12-04T09:36:43.1640397Z   -e NO_TD \
2025-12-04T09:36:43.1640648Z   -e TD_DISTRIBUTED \
2025-12-04T09:36:43.1640916Z   -e PR_LABELS \
2025-12-04T09:36:43.1641200Z   -e MAX_JOBS="$(nproc --ignore=2)" \
2025-12-04T09:36:43.1641526Z   -e SCCACHE_BUCKET \
2025-12-04T09:36:43.1641800Z   -e SCCACHE_REGION \
2025-12-04T09:36:43.1642076Z   -e XLA_CUDA \
2025-12-04T09:36:43.1642375Z   -e XLA_CLANG_CACHE_S3_BUCKET_NAME \
2025-12-04T09:36:43.1642716Z   -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK \
2025-12-04T09:36:43.1643063Z   -e PYTORCH_TEST_RERUN_DISABLED_TESTS \
2025-12-04T09:36:43.1643431Z   -e SKIP_SCCACHE_INITIALIZATION=1 \
2025-12-04T09:36:43.1643767Z   -e HUGGING_FACE_HUB_TOKEN \
2025-12-04T09:36:43.1644081Z   -e VLLM_TEST_HUGGING_FACE_TOKEN \
2025-12-04T09:36:43.1644415Z   -e SCRIBE_GRAPHQL_ACCESS_TOKEN \
2025-12-04T09:36:43.1644737Z   -e DASHBOARD_TAG \
2025-12-04T09:36:43.1645023Z   -e ARTIFACTS_FILE_SUFFIX \
2025-12-04T09:36:43.1645367Z   --memory="${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}g" \
2025-12-04T09:36:43.1645774Z   --memory-swap="${TOTAL_MEMORY_WITH_SWAP}g" \
2025-12-04T09:36:43.1646186Z   --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \
2025-12-04T09:36:43.1646552Z   --security-opt seccomp=unconfined \
2025-12-04T09:36:43.1646888Z   --cap-add=SYS_PTRACE \
2025-12-04T09:36:43.1647181Z   --ipc=host \
2025-12-04T09:36:43.1647430Z   ${SHM_OPTS} \
2025-12-04T09:36:43.1647678Z   --tty \
2025-12-04T09:36:43.1647911Z   --detach \
2025-12-04T09:36:43.1648186Z   --name="${container_name}" \
2025-12-04T09:36:43.1648477Z   ${JENKINS_USER} \
2025-12-04T09:36:43.1648821Z   -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \
2025-12-04T09:36:43.1649213Z   -w /var/lib/jenkins/workspace \
2025-12-04T09:36:43.1649514Z   "${USED_IMAGE}" \
2025-12-04T09:36:43.1649786Z   ${DOCKER_SHELL_CMD}
2025-12-04T09:36:43.1650043Z )
2025-12-04T09:36:43.1650353Z echo "DOCKER_CONTAINER_ID=${container_name}" >> "${GITHUB_ENV}"
2025-12-04T09:36:43.1650743Z 
2025-12-04T09:36:43.1651005Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then
2025-12-04T09:36:43.1651569Z   docker exec -t "${container_name}" sh -c "python3 -m pip install -r .ci/docker/requirements-ci.txt"
2025-12-04T09:36:43.1652184Z fi
2025-12-04T09:36:43.1652394Z 
2025-12-04T09:36:43.1652860Z docker exec -t "${container_name}" sh -c "python3 -m pip install $(echo dist/*.whl)[opt-einsum] && ${TEST_COMMAND}"
2025-12-04T09:36:43.1662149Z shell: /usr/bin/bash -e {0}
2025-12-04T09:36:43.1662408Z env:
2025-12-04T09:36:43.1662629Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:36:43.1662877Z   HAS_NVIDIA_GPU: true
2025-12-04T09:36:43.1663184Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-12-04T09:36:43.1663624Z   BUILD_ENVIRONMENT: linux-jammy-cuda12.8-py3.10-gcc11-sm86
2025-12-04T09:36:43.1664000Z   PR_NUMBER: 
2025-12-04T09:36:43.1664238Z   GITHUB_REPOSITORY: pytorch/pytorch
2025-12-04T09:36:43.1664555Z   GITHUB_WORKFLOW: inductor-unittest
2025-12-04T09:36:43.1664848Z   GITHUB_JOB: test
2025-12-04T09:36:43.1665138Z   GITHUB_RUN_ID: 19922777333
2025-12-04T09:36:43.1665408Z   GITHUB_RUN_NUMBER: 448
2025-12-04T09:36:43.1665652Z   GITHUB_RUN_ATTEMPT: 1
2025-12-04T09:36:43.1665876Z   JOB_ID: 57118472355
2025-12-04T09:36:43.1666298Z   JOB_NAME: inductor-test / test (inductor, 1, 2, linux.g5.4xlarge.nvidia.gpu, rerun_disabled_tests)
2025-12-04T09:36:43.1666776Z   BRANCH: main
2025-12-04T09:36:43.1667149Z   SHA1: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T09:36:43.1667506Z   BASE_SHA: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T09:36:43.1667827Z   TEST_CONFIG: inductor
2025-12-04T09:36:43.1668063Z   SHARD_NUMBER: 1
2025-12-04T09:36:43.1668270Z   NUM_TEST_SHARDS: 2
2025-12-04T09:36:43.1668497Z   EXTRA_FLAGS: 
2025-12-04T09:36:43.1668708Z   OP_BENCHMARK_TESTS: 
2025-12-04T09:36:43.1668937Z   REENABLED_ISSUES: 
2025-12-04T09:36:43.1669173Z   CONTINUE_THROUGH_ERROR: True
2025-12-04T09:36:43.1669441Z   VERBOSE_TEST_LOGS: False
2025-12-04T09:36:43.1669682Z   TEST_SHOWLOCALS: False
2025-12-04T09:36:43.1669923Z   NO_TEST_TIMEOUT: False
2025-12-04T09:36:43.1670157Z   NO_TD: False
2025-12-04T09:36:43.1670375Z   TD_DISTRIBUTED: False
2025-12-04T09:36:43.1670667Z   SCCACHE_BUCKET: ossci-compiler-cache-circleci-v2
2025-12-04T09:36:43.1671014Z   SCCACHE_REGION: us-east-1
2025-12-04T09:36:43.1671268Z   SHM_SIZE: 2g
2025-12-04T09:36:43.1672109Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-inductor-benchmarks-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T09:36:43.1673651Z   DOCKER_IMAGE_S390X: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-inductor-benchmarks-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T09:36:43.1674565Z   XLA_CUDA: 
2025-12-04T09:36:43.1674903Z   XLA_CLANG_CACHE_S3_BUCKET_NAME: ossci-compiler-clang-cache-circleci-xla
2025-12-04T09:36:43.1675323Z   PYTORCH_TEST_CUDA_MEM_LEAK_CHECK: 0
2025-12-04T09:36:43.1675637Z   PYTORCH_TEST_RERUN_DISABLED_TESTS: 1
2025-12-04T09:36:43.1675933Z   DASHBOARD_TAG: 
2025-12-04T09:36:43.1676364Z   VLLM_TEST_HUGGING_FACE_TOKEN: ***
2025-12-04T09:36:43.1676746Z   HUGGING_FACE_HUB_TOKEN: ***
2025-12-04T09:36:43.1677149Z   SCRIBE_GRAPHQL_ACCESS_TOKEN: ***
2025-12-04T09:36:43.1677605Z   ARTIFACTS_FILE_SUFFIX: test-inductor-1-2-linux.g5.4xlarge.nvidia.gpu_57118472355
2025-12-04T09:36:43.1678142Z ##[endgroup]
2025-12-04T09:36:43.1708944Z + [[ inductor == \m\u\l\t\i\g\p\u ]]
2025-12-04T09:36:43.1709309Z + [[ linux-jammy-cuda12.8-py3.10-gcc11-sm86 == *onnx* ]]
2025-12-04T09:36:43.1709659Z + TEST_COMMAND=.ci/pytorch/test.sh
2025-12-04T09:36:43.1712723Z ++ awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo
2025-12-04T09:36:43.1745820Z + TOTAL_AVAILABLE_MEMORY_IN_GB='61.094 '
2025-12-04T09:36:43.1746238Z + TOTAL_MEMORY_WITH_SWAP=64
2025-12-04T09:36:43.1746593Z + [[ linux-jammy-cuda12.8-py3.10-gcc11-sm86 == *\s\3\9\0\x* ]]
2025-12-04T09:36:43.1746945Z + SHM_OPTS=--shm-size=2g
2025-12-04T09:36:43.1747188Z + JENKINS_USER='--user jenkins'
2025-12-04T09:36:43.1747445Z + DOCKER_SHELL_CMD=
2025-12-04T09:36:43.1748479Z + USED_IMAGE=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-inductor-benchmarks-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T09:36:43.1757272Z +++ nproc --ignore=2
2025-12-04T09:36:43.1788002Z ++ 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 VLLM_TEST_HUGGING_FACE_TOKEN -e SCRIBE_GRAPHQL_ACCESS_TOKEN -e DASHBOARD_TAG -e ARTIFACTS_FILE_SUFFIX --memory=61g --memory-swap=64g --env-file=/tmp/github_env_19922777333 --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-gcc11-inductor-benchmarks-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T09:36:52.7542814Z + container_name=41acfaf588920518f3cf2357a25538f09c929edfbb46691277c336603808fef6
2025-12-04T09:36:52.7543638Z + echo DOCKER_CONTAINER_ID=41acfaf588920518f3cf2357a25538f09c929edfbb46691277c336603808fef6
2025-12-04T09:36:52.7544851Z + [[ linux-jammy-cuda12.8-py3.10-gcc11-sm86 == *\s\3\9\0\x* ]]
2025-12-04T09:36:52.7549581Z ++ echo dist/torch-2.10.0a0+gitffd9b0f-cp310-cp310-linux_x86_64.whl
2025-12-04T09:36:52.7552882Z + docker exec -t 41acfaf588920518f3cf2357a25538f09c929edfbb46691277c336603808fef6 sh -c 'python3 -m pip install dist/torch-2.10.0a0+gitffd9b0f-cp310-cp310-linux_x86_64.whl[opt-einsum] && .ci/pytorch/test.sh'
2025-12-04T09:36:53.3519877Z Processing ./dist/torch-2.10.0a0+gitffd9b0f-cp310-cp310-linux_x86_64.whl (from torch==2.10.0a0+gitffd9b0f)
2025-12-04T09:36:53.6790581Z Requirement already satisfied: filelock in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (3.18.0)
2025-12-04T09:36:53.6793942Z Requirement already satisfied: typing-extensions>=4.10.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (4.15.0)
2025-12-04T09:36:53.6798582Z Requirement already satisfied: sympy>=1.13.3 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (1.13.3)
2025-12-04T09:36:53.6803335Z Requirement already satisfied: networkx>=2.5.1 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (2.8.8)
2025-12-04T09:36:53.6806968Z Requirement already satisfied: jinja2 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (3.1.6)
2025-12-04T09:36:53.6811492Z Requirement already satisfied: fsspec>=0.8.5 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (2025.10.0)
2025-12-04T09:36:53.6826629Z Requirement already satisfied: opt-einsum>=3.3 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (3.3.0)
2025-12-04T09:36:53.7227633Z Requirement already satisfied: numpy>=1.7 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from opt-einsum>=3.3->torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (1.22.4)
2025-12-04T09:36:53.7244417Z Requirement already satisfied: mpmath<1.4,>=1.1.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from sympy>=1.13.3->torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (1.3.0)
2025-12-04T09:36:53.7304354Z Requirement already satisfied: MarkupSafe>=2.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from jinja2->torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (3.0.3)
2025-12-04T09:36:54.7171109Z Installing collected packages: torch
2025-12-04T09:37:06.2898566Z 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.
2025-12-04T09:37:06.2899541Z dall-e 0.1 requires torchvision, which is not installed.
2025-12-04T09:37:06.2900092Z effdet 0.4.1 requires torchvision, which is not installed.
2025-12-04T09:37:06.2900635Z python-doctr 1.0.0 requires torchvision>=0.15.0, which is not installed.
2025-12-04T09:37:06.2901200Z pytorch-labs-segment-anything-fast 0.2 requires torchao, which is not installed.
2025-12-04T09:37:06.2902133Z pytorch-labs-segment-anything-fast 0.2 requires torchvision>=0.17.0.dev20231026, which is not installed.
2025-12-04T09:37:06.2903369Z timm 1.0.22 requires torchvision, which is not installed.
2025-12-04T09:37:06.2904028Z Successfully installed torch-2.10.0a0+gitffd9b0f
2025-12-04T09:37:06.4058403Z + export TERM=vt100
2025-12-04T09:37:06.4058737Z + TERM=vt100
2025-12-04T09:37:06.4061436Z ++ dirname .ci/pytorch/test.sh
2025-12-04T09:37:06.4300901Z + source .ci/pytorch/common.sh
2025-12-04T09:37:06.4356000Z +++ dirname .ci/pytorch/common.sh
2025-12-04T09:37:06.4480532Z ++ source .ci/pytorch/common_utils.sh
2025-12-04T09:37:06.4537704Z +++ declare -f -t trap_add
2025-12-04T09:37:06.4542751Z ++ set -ex -o pipefail
2025-12-04T09:37:06.4543394Z ++ [[ linux-jammy-cuda12.8-py3.10-gcc11-sm86 == *rocm* ]]
2025-12-04T09:37:06.4543832Z ++ BUILD_TEST_LIBTORCH=0
2025-12-04T09:37:06.4599248Z ++ dirname .ci/pytorch/test.sh
2025-12-04T09:37:06.4610802Z + source .ci/pytorch/common-build.sh
2025-12-04T09:37:06.4612351Z ++ [[ linux-jammy-cuda12.8-py3.10-gcc11-sm86 != *win-* ]]
2025-12-04T09:37:06.4619134Z ++++ dirname .ci/pytorch/common-build.sh
2025-12-04T09:37:06.4630371Z +++ cd .ci/pytorch
2025-12-04T09:37:06.4630645Z +++ pwd -P
2025-12-04T09:37:06.4634502Z ++ script_dir=/var/lib/jenkins/workspace/.ci/pytorch
2025-12-04T09:37:06.4635147Z ++ [[ linux-jammy-cuda12.8-py3.10-gcc11-sm86 == *-pch* ]]
2025-12-04T09:37:06.4635562Z ++ which sccache
2025-12-04T09:37:06.4727667Z ++ [[ -z ossci-compiler-cache-circleci-v2 ]]
2025-12-04T09:37:06.4727978Z ++ sccache --stop-server
2025-12-04T09:37:06.4759716Z ++ true
2025-12-04T09:37:06.4759941Z ++ rm -f /var/lib/jenkins/sccache_error.log
2025-12-04T09:37:06.4966843Z ++ trap_add sccache_epilogue EXIT
2025-12-04T09:37:06.4967207Z ++ trap_add_cmd=sccache_epilogue
2025-12-04T09:37:06.4967529Z ++ shift
2025-12-04T09:37:06.4967782Z ++ for trap_add_name in "$@"
2025-12-04T09:37:06.4974287Z ++++ trap -p EXIT
2025-12-04T09:37:06.4977369Z +++ eval 'extract_trap_cmd '
2025-12-04T09:37:06.4977650Z ++++ extract_trap_cmd
2025-12-04T09:37:06.4977881Z ++++ printf '%s\n' ''
2025-12-04T09:37:06.4978182Z +++ printf '%s\n' sccache_epilogue
2025-12-04T09:37:06.4981006Z ++ trap -- '
2025-12-04T09:37:06.4981400Z sccache_epilogue' EXIT
2025-12-04T09:37:06.4981644Z ++ [[ -n 1 ]]
2025-12-04T09:37:06.4982016Z ++ echo 'Skipping sccache server initialization, setting environment variables'
2025-12-04T09:37:06.4982581Z Skipping sccache server initialization, setting environment variables
2025-12-04T09:37:06.4982984Z ++ export SCCACHE_IDLE_TIMEOUT=0
2025-12-04T09:37:06.4983271Z ++ SCCACHE_IDLE_TIMEOUT=0
2025-12-04T09:37:06.4983626Z ++ export SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log
2025-12-04T09:37:06.4984036Z ++ SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log
2025-12-04T09:37:06.4989609Z ++ export RUST_LOG=sccache::server=error
2025-12-04T09:37:06.4989954Z ++ RUST_LOG=sccache::server=error
2025-12-04T09:37:06.4990229Z ++ sccache --zero-stats
2025-12-04T09:37:07.1265843Z Statistics zeroed.
2025-12-04T09:37:07.1274836Z ++ which ccache
2025-12-04T09:37:07.1333755Z + [[ linux-jammy-cuda12.8-py3.10-gcc11-sm86 != *rocm* ]]
2025-12-04T09:37:07.1334187Z + [[ linux-jammy-cuda12.8-py3.10-gcc11-sm86 != *s390x* ]]
2025-12-04T09:37:07.1334551Z + [[ -d /var/lib/jenkins/workspace ]]
2025-12-04T09:37:07.1337372Z ++ stat -c %u /var/lib/jenkins/workspace
2025-12-04T09:37:07.1496971Z + WORKSPACE_ORIGINAL_OWNER_ID=1000
2025-12-04T09:37:07.1497289Z + trap_add cleanup_workspace EXIT
2025-12-04T09:37:07.1497573Z + trap_add_cmd=cleanup_workspace
2025-12-04T09:37:07.1497836Z + shift
2025-12-04T09:37:07.1498053Z + for trap_add_name in "$@"
2025-12-04T09:37:07.1505776Z +++ trap -p EXIT
2025-12-04T09:37:07.1509049Z ++ eval 'extract_trap_cmd trap -- '\''
2025-12-04T09:37:07.1509366Z sccache_epilogue'\'' EXIT'
2025-12-04T09:37:07.1509700Z +++ extract_trap_cmd trap -- '
2025-12-04T09:37:07.1509975Z sccache_epilogue' EXIT
2025-12-04T09:37:07.1510202Z +++ printf '%s\n' '
2025-12-04T09:37:07.1510416Z sccache_epilogue'
2025-12-04T09:37:07.1510713Z ++ printf '%s\n' cleanup_workspace
2025-12-04T09:37:07.1512892Z + trap -- '
2025-12-04T09:37:07.1513105Z sccache_epilogue
2025-12-04T09:37:07.1513322Z cleanup_workspace' EXIT
2025-12-04T09:37:07.1513612Z + sudo chown -R jenkins /var/lib/jenkins/workspace
2025-12-04T09:37:08.2137767Z + git config --global --add safe.directory /var/lib/jenkins/workspace
2025-12-04T09:37:08.2316237Z + [[ linux-jammy-cuda12.8-py3.10-gcc11-sm86 == *cuda* ]]
2025-12-04T09:37:08.2320303Z ++ python -c 'import os;import numba.cuda; print(os.path.dirname(numba.cuda.__file__))'
2025-12-04T09:37:08.6020982Z + NUMBA_CUDA_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/numba/cuda
2025-12-04T09:37:08.6021573Z + '[' -n /opt/conda/envs/py_3.10/lib/python3.10/site-packages/numba/cuda ']'
2025-12-04T09:37:08.6027972Z +++ realpath .ci/pytorch/test.sh
2025-12-04T09:37:08.6049937Z ++ dirname /var/lib/jenkins/workspace/.ci/pytorch/test.sh
2025-12-04T09:37:08.6060152Z + NUMBA_PATCH=/var/lib/jenkins/workspace/.ci/pytorch/numba-cuda-13.patch
2025-12-04T09:37:08.6060848Z + pushd /opt/conda/envs/py_3.10/lib/python3.10/site-packages/numba/cuda
2025-12-04T09:37:08.6061389Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/numba/cuda ~/workspace
2025-12-04T09:37:08.6061828Z + patch -p4
2025-12-04T09:37:08.6100823Z patching file cudadrv/driver.py
2025-12-04T09:37:08.6105421Z + popd
2025-12-04T09:37:08.6105748Z ~/workspace
2025-12-04T09:37:08.6106056Z + echo 'Environment variables:'
2025-12-04T09:37:08.6106324Z Environment variables:
2025-12-04T09:37:08.6106535Z + env
2025-12-04T09:37:08.6127762Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-12-04T09:37:08.6128186Z CONTINUE_THROUGH_ERROR=True
2025-12-04T09:37:08.6128533Z BUILD_ENVIRONMENT=linux-jammy-cuda12.8-py3.10-gcc11-sm86
2025-12-04T09:37:08.6129181Z VLLM_TEST_HUGGING_FACE_TOKEN=***
2025-12-04T09:37:08.6129523Z HOSTNAME=41acfaf58892
2025-12-04T09:37:08.6130115Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_dea24282-616a-491e-8885-d26d5ad96702
2025-12-04T09:37:08.6130815Z GITHUB_ACTION=__run_3
2025-12-04T09:37:08.6131115Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0
2025-12-04T09:37:08.6131481Z GITHUB_RUN_NUMBER=448
2025-12-04T09:37:08.6131747Z TEST_CONFIG=inductor
2025-12-04T09:37:08.6132028Z GITHUB_REPOSITORY_OWNER_ID=21003710
2025-12-04T09:37:08.6132329Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all
2025-12-04T09:37:08.6132616Z SCCACHE_IDLE_TIMEOUT=0
2025-12-04T09:37:08.6132976Z SCRIBE_GRAPHQL_ACCESS_TOKEN=***
2025-12-04T09:37:08.6133262Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot
2025-12-04T09:37:08.6133554Z GITHUB_REF_TYPE=branch
2025-12-04T09:37:08.6133829Z BASE_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T09:37:08.6134163Z XLA_CUDA=
2025-12-04T09:37:08.6134414Z NCCL_LIB_DIR=/usr/local/cuda/lib64/
2025-12-04T09:37:08.6134873Z HUGGING_FACE_HUB_TOKEN=***
2025-12-04T09:37:08.6135546Z ***
2025-12-04T09:37:08.6135863Z GITHUB_REPOSITORY_ID=65600975
2025-12-04T09:37:08.6136280Z GITHUB_ACTIONS=true
2025-12-04T09:37:08.6137012Z NVIDIA_DRIVER_CAPABILITIES=all
2025-12-04T09:37:08.6137454Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log
2025-12-04T09:37:08.6137991Z SHA1=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T09:37:08.6138527Z GITHUB_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T09:37:08.6139451Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor-unittest.yml@refs/heads/main
2025-12-04T09:37:08.6140253Z UCC_HOME=/usr
2025-12-04T09:37:08.6140564Z VERBOSE_TEST_LOGS=False
2025-12-04T09:37:08.6140917Z GITHUB_REF=refs/heads/main
2025-12-04T09:37:08.6141240Z SHARD_NUMBER=1
2025-12-04T09:37:08.6141573Z GITHUB_REF_PROTECTED=true
2025-12-04T09:37:08.6141925Z HOME=/var/lib/jenkins
2025-12-04T09:37:08.6142300Z GITHUB_API_URL=https://api.github.com
2025-12-04T09:37:08.6142741Z PYTORCH_TEST_RERUN_DISABLED_TESTS=1
2025-12-04T09:37:08.6143215Z UCX_COMMIT=7836b165abdbe468a2f607e7254011c07d788152
2025-12-04T09:37:08.6143683Z USE_SYSTEM_NCCL=1
2025-12-04T09:37:08.6144025Z NUM_TEST_SHARDS=2
2025-12-04T09:37:08.6144414Z UCX_HOME=/usr
2025-12-04T09:37:08.6145541Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_dea24282-616a-491e-8885-d26d5ad96702
2025-12-04T09:37:08.6147089Z JOB_NAME=inductor-test / test (inductor, 1, 2, linux.g5.4xlarge.nvidia.gpu, rerun_disabled_tests)
2025-12-04T09:37:08.6148207Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_dea24282-616a-491e-8885-d26d5ad96702
2025-12-04T09:37:08.6149364Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json
2025-12-04T09:37:08.6150123Z GITHUB_EVENT_NAME=schedule
2025-12-04T09:37:08.6150487Z DASHBOARD_TAG=
2025-12-04T09:37:08.6150809Z GITHUB_RUN_ID=19922777333
2025-12-04T09:37:08.6151170Z INSTALLED_OPENBLAS=
2025-12-04T09:37:08.6151733Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_dea24282-616a-491e-8885-d26d5ad96702
2025-12-04T09:37:08.6152349Z GITHUB_ACTOR=pytorchmergebot
2025-12-04T09:37:08.6152605Z PR_NUMBER=
2025-12-04T09:37:08.6152787Z DESIRED_CUDA=12.8.1
2025-12-04T09:37:08.6153001Z GITHUB_RUN_ATTEMPT=1
2025-12-04T09:37:08.6153231Z ANACONDA_PYTHON_VERSION=3.10
2025-12-04T09:37:08.6153537Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql
2025-12-04T09:37:08.6153854Z TERM=vt100
2025-12-04T09:37:08.6154057Z INSTALLED_VISION=yes
2025-12-04T09:37:08.6154275Z BRANCH=main
2025-12-04T09:37:08.6154471Z SCCACHE_REGION=us-east-1
2025-12-04T09:37:08.6154715Z OPENSSL_ROOT_DIR=/opt/openssl
2025-12-04T09:37:08.6154978Z BUILD_AOT_INDUCTOR_TEST=yes
2025-12-04T09:37:08.6155218Z CUDA_PATH=/usr/local/cuda
2025-12-04T09:37:08.6155683Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux
2025-12-04T09:37:08.6156213Z GITHUB_SERVER_URL=https://github.com
2025-12-04T09:37:08.6156539Z UCC_COMMIT=430e241bf5d38cbc73fc7a6b89155397232e3f96
2025-12-04T09:37:08.6156858Z REENABLED_ISSUES=
2025-12-04T09:37:08.6157074Z DOCS=
2025-12-04T09:37:08.6157250Z SHLVL=1
2025-12-04T09:37:08.6157445Z MAX_JOBS=14
2025-12-04T09:37:08.6157647Z GITHUB_ACTOR_ID=97764156
2025-12-04T09:37:08.6157963Z GITHUB_WORKFLOW_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T09:37:08.6158318Z GITHUB_REF_NAME=main
2025-12-04T09:37:08.6158682Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla
2025-12-04T09:37:08.6159072Z GITHUB_JOB=test
2025-12-04T09:37:08.6159294Z NO_TEST_TIMEOUT=False
2025-12-04T09:37:08.6159524Z TD_DISTRIBUTED=False
2025-12-04T09:37:08.6159776Z GITHUB_REPOSITORY=pytorch/pytorch
2025-12-04T09:37:08.6160049Z GITHUB_RETENTION_DAYS=90
2025-12-04T09:37:08.6160298Z OPENSSL_DIR=/opt/openssl
2025-12-04T09:37:08.6160543Z GITHUB_ACTION_REPOSITORY=
2025-12-04T09:37:08.6161240Z 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
2025-12-04T09:37:08.6161963Z GITHUB_BASE_REF=
2025-12-04T09:37:08.6162175Z INSTALLED_ACL=
2025-12-04T09:37:08.6162542Z ARTIFACTS_FILE_SUFFIX=test-inductor-1-2-linux.g5.4xlarge.nvidia.gpu_57118472355
2025-12-04T09:37:08.6163114Z CI=true
2025-12-04T09:37:08.6163315Z GITHUB_REPOSITORY_OWNER=pytorch
2025-12-04T09:37:08.6163595Z RUST_LOG=sccache::server=error
2025-12-04T09:37:08.6163843Z JOB_ID=57118472355
2025-12-04T09:37:08.6164050Z GITHUB_HEAD_REF=
2025-12-04T09:37:08.6164255Z GITHUB_ACTION_REF=
2025-12-04T09:37:08.6164510Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2
2025-12-04T09:37:08.6164873Z TEST_SHOWLOCALS=False
2025-12-04T09:37:08.6165118Z GITHUB_WORKFLOW=inductor-unittest
2025-12-04T09:37:08.6165384Z DEBIAN_FRONTEND=noninteractive
2025-12-04T09:37:08.6165946Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_dea24282-616a-491e-8885-d26d5ad96702
2025-12-04T09:37:08.6166510Z NO_TD=False
2025-12-04T09:37:08.6166710Z SKIP_SCCACHE_INITIALIZATION=1
2025-12-04T09:37:08.6166984Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/
2025-12-04T09:37:08.6167260Z _=/usr/bin/env
2025-12-04T09:37:08.6167579Z OLDPWD=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/numba/cuda
2025-12-04T09:37:08.6168058Z ++ python -c 'import site; print(site.getsitepackages()[0])'
2025-12-04T09:37:08.6424190Z + TORCH_INSTALL_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch
2025-12-04T09:37:08.6425018Z + TORCH_BIN_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin
2025-12-04T09:37:08.6425547Z + TORCH_LIB_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib
2025-12-04T09:37:08.6426081Z + TORCH_TEST_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/test
2025-12-04T09:37:08.6426480Z + BUILD_DIR=build
2025-12-04T09:37:08.6426696Z + BUILD_RENAMED_DIR=build_renamed
2025-12-04T09:37:08.6426962Z + BUILD_BIN_DIR=build/bin
2025-12-04T09:37:08.6427247Z + SHARD_NUMBER=1
2025-12-04T09:37:08.6427484Z + NUM_TEST_SHARDS=2
2025-12-04T09:37:08.6427707Z + export TORCH_SERIALIZATION_DEBUG=1
2025-12-04T09:37:08.6427989Z + TORCH_SERIALIZATION_DEBUG=1
2025-12-04T09:37:08.6428239Z + export VALGRIND=ON
2025-12-04T09:37:08.6428456Z + VALGRIND=ON
2025-12-04T09:37:08.6428739Z + [[ linux-jammy-cuda12.8-py3.10-gcc11-sm86 == *clang9* ]]
2025-12-04T09:37:08.6429135Z + [[ linux-jammy-cuda12.8-py3.10-gcc11-sm86 == *xpu* ]]
2025-12-04T09:37:08.6429449Z + detect_cuda_arch
2025-12-04T09:37:08.6429725Z + [[ linux-jammy-cuda12.8-py3.10-gcc11-sm86 == *cuda* ]]
2025-12-04T09:37:08.6430058Z + command -v nvidia-smi
2025-12-04T09:37:08.6430276Z /usr/bin/nvidia-smi
2025-12-04T09:37:08.6436810Z ++ nvidia-smi --query-gpu=compute_cap --format=csv
2025-12-04T09:37:08.6437181Z ++ tail -n 1
2025-12-04T09:37:08.6676724Z + TORCH_CUDA_ARCH_LIST=8.6
2025-12-04T09:37:08.6677040Z + export TORCH_CUDA_ARCH_LIST
2025-12-04T09:37:08.6677414Z + [[ linux-jammy-cuda12.8-py3.10-gcc11-sm86 == *s390x* ]]
2025-12-04T09:37:08.6677798Z + [[ 1 == \1 ]]
2025-12-04T09:37:08.6678013Z + ulimit -c 0
2025-12-04T09:37:08.6678322Z + [[ linux-jammy-cuda12.8-py3.10-gcc11-sm86 != *bazel* ]]
2025-12-04T09:37:08.6683366Z ++ realpath build/custom_test_artifacts
2025-12-04T09:37:08.6700748Z + CUSTOM_TEST_ARTIFACT_BUILD_DIR=/var/lib/jenkins/workspace/build/custom_test_artifacts
2025-12-04T09:37:08.6701211Z + [[ -n '' ]]
2025-12-04T09:37:08.6701441Z + echo 'Environment variables'
2025-12-04T09:37:08.6701713Z Environment variables
2025-12-04T09:37:08.6701928Z + env
2025-12-04T09:37:08.6721653Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-12-04T09:37:08.6722161Z CONTINUE_THROUGH_ERROR=True
2025-12-04T09:37:08.6722578Z BUILD_ENVIRONMENT=linux-jammy-cuda12.8-py3.10-gcc11-sm86
2025-12-04T09:37:08.6723276Z VLLM_TEST_HUGGING_FACE_TOKEN=***
2025-12-04T09:37:08.6723613Z HOSTNAME=41acfaf58892
2025-12-04T09:37:08.6724155Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_dea24282-616a-491e-8885-d26d5ad96702
2025-12-04T09:37:08.6724736Z GITHUB_ACTION=__run_3
2025-12-04T09:37:08.6724995Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0
2025-12-04T09:37:08.6725336Z GITHUB_RUN_NUMBER=448
2025-12-04T09:37:08.6725571Z TEST_CONFIG=inductor
2025-12-04T09:37:08.6727056Z GITHUB_REPOSITORY_OWNER_ID=21003710
2025-12-04T09:37:08.6727366Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all
2025-12-04T09:37:08.6727659Z SCCACHE_IDLE_TIMEOUT=0
2025-12-04T09:37:08.6728047Z SCRIBE_GRAPHQL_ACCESS_TOKEN=***
2025-12-04T09:37:08.6728332Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot
2025-12-04T09:37:08.6728632Z GITHUB_REF_TYPE=branch
2025-12-04T09:37:08.6728870Z TORCH_CUDA_ARCH_LIST=8.6
2025-12-04T09:37:08.6729153Z BASE_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T09:37:08.6729473Z XLA_CUDA=
2025-12-04T09:37:08.6729691Z NCCL_LIB_DIR=/usr/local/cuda/lib64/
2025-12-04T09:37:08.6730247Z HUGGING_FACE_HUB_TOKEN=***
2025-12-04T09:37:08.6730551Z ***
2025-12-04T09:37:08.6730760Z GITHUB_REPOSITORY_ID=65600975
2025-12-04T09:37:08.6731015Z GITHUB_ACTIONS=true
2025-12-04T09:37:08.6731243Z NVIDIA_DRIVER_CAPABILITIES=all
2025-12-04T09:37:08.6731558Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log
2025-12-04T09:37:08.6731924Z SHA1=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T09:37:08.6732290Z GITHUB_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T09:37:08.6732832Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor-unittest.yml@refs/heads/main
2025-12-04T09:37:08.6733313Z UCC_HOME=/usr
2025-12-04T09:37:08.6733526Z TORCH_SERIALIZATION_DEBUG=1
2025-12-04T09:37:08.6733966Z VERBOSE_TEST_LOGS=False
2025-12-04T09:37:08.6734208Z GITHUB_REF=refs/heads/main
2025-12-04T09:37:08.6734448Z SHARD_NUMBER=1
2025-12-04T09:37:08.6734699Z GITHUB_REF_PROTECTED=true
2025-12-04T09:37:08.6734954Z HOME=/var/lib/jenkins
2025-12-04T09:37:08.6735217Z GITHUB_API_URL=https://api.github.com
2025-12-04T09:37:08.6735539Z PYTORCH_TEST_RERUN_DISABLED_TESTS=1
2025-12-04T09:37:08.6735867Z UCX_COMMIT=7836b165abdbe468a2f607e7254011c07d788152
2025-12-04T09:37:08.6736195Z USE_SYSTEM_NCCL=1
2025-12-04T09:37:08.6736411Z NUM_TEST_SHARDS=2
2025-12-04T09:37:08.6736625Z UCX_HOME=/usr
2025-12-04T09:37:08.6737153Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_dea24282-616a-491e-8885-d26d5ad96702
2025-12-04T09:37:08.6737950Z JOB_NAME=inductor-test / test (inductor, 1, 2, linux.g5.4xlarge.nvidia.gpu, rerun_disabled_tests)
2025-12-04T09:37:08.6738716Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_dea24282-616a-491e-8885-d26d5ad96702
2025-12-04T09:37:08.6739470Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json
2025-12-04T09:37:08.6739941Z GITHUB_EVENT_NAME=schedule
2025-12-04T09:37:08.6740189Z DASHBOARD_TAG=
2025-12-04T09:37:08.6740417Z GITHUB_RUN_ID=19922777333
2025-12-04T09:37:08.6740665Z INSTALLED_OPENBLAS=
2025-12-04T09:37:08.6741231Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_dea24282-616a-491e-8885-d26d5ad96702
2025-12-04T09:37:08.6741865Z GITHUB_ACTOR=pytorchmergebot
2025-12-04T09:37:08.6742136Z PR_NUMBER=
2025-12-04T09:37:08.6742350Z DESIRED_CUDA=12.8.1
2025-12-04T09:37:08.6742581Z GITHUB_RUN_ATTEMPT=1
2025-12-04T09:37:08.6742809Z VALGRIND=ON
2025-12-04T09:37:08.6743032Z ANACONDA_PYTHON_VERSION=3.10
2025-12-04T09:37:08.6743354Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql
2025-12-04T09:37:08.6743678Z TERM=vt100
2025-12-04T09:37:08.6743885Z INSTALLED_VISION=yes
2025-12-04T09:37:08.6744123Z BRANCH=main
2025-12-04T09:37:08.6744340Z SCCACHE_REGION=us-east-1
2025-12-04T09:37:08.6744600Z OPENSSL_ROOT_DIR=/opt/openssl
2025-12-04T09:37:08.6744874Z BUILD_AOT_INDUCTOR_TEST=yes
2025-12-04T09:37:08.6745210Z CUDA_PATH=/usr/local/cuda
2025-12-04T09:37:08.6745697Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux
2025-12-04T09:37:08.6746234Z GITHUB_SERVER_URL=https://github.com
2025-12-04T09:37:08.6746578Z UCC_COMMIT=430e241bf5d38cbc73fc7a6b89155397232e3f96
2025-12-04T09:37:08.6746910Z REENABLED_ISSUES=
2025-12-04T09:37:08.6747136Z DOCS=
2025-12-04T09:37:08.6747334Z SHLVL=1
2025-12-04T09:37:08.6747525Z MAX_JOBS=14
2025-12-04T09:37:08.6747752Z GITHUB_ACTOR_ID=97764156
2025-12-04T09:37:08.6748094Z GITHUB_WORKFLOW_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T09:37:08.6748550Z GITHUB_REF_NAME=main
2025-12-04T09:37:08.6748917Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla
2025-12-04T09:37:08.6749320Z GITHUB_JOB=test
2025-12-04T09:37:08.6749537Z NO_TEST_TIMEOUT=False
2025-12-04T09:37:08.6749786Z TD_DISTRIBUTED=False
2025-12-04T09:37:08.6750054Z GITHUB_REPOSITORY=pytorch/pytorch
2025-12-04T09:37:08.6750340Z GITHUB_RETENTION_DAYS=90
2025-12-04T09:37:08.6750601Z OPENSSL_DIR=/opt/openssl
2025-12-04T09:37:08.6750856Z GITHUB_ACTION_REPOSITORY=
2025-12-04T09:37:08.6751557Z 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
2025-12-04T09:37:08.6752283Z GITHUB_BASE_REF=
2025-12-04T09:37:08.6752508Z INSTALLED_ACL=
2025-12-04T09:37:08.6752895Z ARTIFACTS_FILE_SUFFIX=test-inductor-1-2-linux.g5.4xlarge.nvidia.gpu_57118472355
2025-12-04T09:37:08.6753331Z CI=true
2025-12-04T09:37:08.6753559Z GITHUB_REPOSITORY_OWNER=pytorch
2025-12-04T09:37:08.6753871Z RUST_LOG=sccache::server=error
2025-12-04T09:37:08.6754128Z JOB_ID=57118472355
2025-12-04T09:37:08.6754355Z GITHUB_HEAD_REF=
2025-12-04T09:37:08.6754613Z GITHUB_ACTION_REF=
2025-12-04T09:37:08.6755145Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2
2025-12-04T09:37:08.6755486Z TEST_SHOWLOCALS=False
2025-12-04T09:37:08.6755742Z GITHUB_WORKFLOW=inductor-unittest
2025-12-04T09:37:08.6756028Z DEBIAN_FRONTEND=noninteractive
2025-12-04T09:37:08.6756605Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_dea24282-616a-491e-8885-d26d5ad96702
2025-12-04T09:37:08.6757188Z NO_TD=False
2025-12-04T09:37:08.6757409Z SKIP_SCCACHE_INITIALIZATION=1
2025-12-04T09:37:08.6757693Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/
2025-12-04T09:37:08.6758113Z OLDPWD=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/numba/cuda
2025-12-04T09:37:08.6758505Z _=/usr/bin/env
2025-12-04T09:37:08.6758734Z + echo 'Testing pytorch'
2025-12-04T09:37:08.6758997Z Testing pytorch
2025-12-04T09:37:08.6759228Z + export LANG=C.UTF-8
2025-12-04T09:37:08.6759455Z + LANG=C.UTF-8
2025-12-04T09:37:08.6774847Z + PR_NUMBER=
2025-12-04T09:37:08.6775089Z + [[ inductor == \d\e\f\a\u\l\t ]]
2025-12-04T09:37:08.6775483Z + [[ inductor == \d\i\s\t\r\i\b\u\t\e\d ]]
2025-12-04T09:37:08.6775865Z + [[ inductor == \s\l\o\w ]]
2025-12-04T09:37:08.6776243Z + [[ linux-jammy-cuda12.8-py3.10-gcc11-sm86 == *slow-gradcheck* ]]
2025-12-04T09:37:08.6776691Z + [[ linux-jammy-cuda12.8-py3.10-gcc11-sm86 == *cuda* ]]
2025-12-04T09:37:08.6777061Z + export PYTORCH_TESTING_DEVICE_ONLY_FOR=cuda
2025-12-04T09:37:08.6777392Z + PYTORCH_TESTING_DEVICE_ONLY_FOR=cuda
2025-12-04T09:37:08.6777687Z + [[ inductor == *crossref* ]]
2025-12-04T09:37:08.6778004Z + [[ linux-jammy-cuda12.8-py3.10-gcc11-sm86 == *rocm* ]]
2025-12-04T09:37:08.6778421Z + [[ linux-jammy-cuda12.8-py3.10-gcc11-sm86 == *xpu* ]]
2025-12-04T09:37:08.6778822Z + [[ linux-jammy-cuda12.8-py3.10-gcc11-sm86 != *-bazel-* ]]
2025-12-04T09:37:08.6779197Z + pip_install ninja==1.10.2
2025-12-04T09:37:08.6779548Z + pip_install_pkg='python3 -m pip install --progress-bar off'
2025-12-04T09:37:08.6779991Z + python3 -m pip install --progress-bar off ninja==1.10.2
2025-12-04T09:37:09.1248860Z Collecting ninja==1.10.2
2025-12-04T09:37:09.1513323Z   Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl.metadata (5.0 kB)
2025-12-04T09:37:09.1621266Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl (108 kB)
2025-12-04T09:37:10.1381906Z Installing collected packages: ninja
2025-12-04T09:37:10.1382291Z   Attempting uninstall: ninja
2025-12-04T09:37:10.1382593Z     Found existing installation: ninja 1.11.1.4
2025-12-04T09:37:10.1410085Z     Uninstalling ninja-1.11.1.4:
2025-12-04T09:37:10.1505662Z       Successfully uninstalled ninja-1.11.1.4
2025-12-04T09:37:10.2237982Z Successfully installed ninja-1.10.2
2025-12-04T09:37:10.3190689Z + 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
2025-12-04T09:37:10.3192463Z + 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
2025-12-04T09:37:10.3193627Z + [[ linux-jammy-cuda12.8-py3.10-gcc11-sm86 == *aarch64* ]]
2025-12-04T09:37:10.3194134Z + [[ linux-jammy-cuda12.8-py3.10-gcc11-sm86 == *asan* ]]
2025-12-04T09:37:10.3194542Z + [[ linux-jammy-cuda12.8-py3.10-gcc11-sm86 == *-debug* ]]
2025-12-04T09:37:10.3194950Z + [[ linux-jammy-cuda12.8-py3.10-gcc11-sm86 != *-bazel-* ]]
2025-12-04T09:37:10.3195517Z + echo 'We are not in debug mode: linux-jammy-cuda12.8-py3.10-gcc11-sm86. Expect the assertion to pass'
2025-12-04T09:37:10.3196210Z We are not in debug mode: linux-jammy-cuda12.8-py3.10-gcc11-sm86. Expect the assertion to pass
2025-12-04T09:37:10.3196681Z + cd test
2025-12-04T09:37:10.3197010Z + python -c 'import torch; torch._C._crash_if_debug_asserts_fail(424242)'
2025-12-04T09:37:10.8881688Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-12-04T09:37:10.8883345Z   import pynvml  # type: ignore[import]
2025-12-04T09:37:12.0935270Z + [[ inductor == \n\o\g\p\u\_\N\O\_\A\V\X\2 ]]
2025-12-04T09:37:12.0935623Z + [[ inductor == \n\o\g\p\u\_\A\V\X\5\1\2 ]]
2025-12-04T09:37:12.0935997Z + [[ inductor == \l\e\g\a\c\y\_\n\v\i\d\i\a\_\d\r\i\v\e\r ]]
2025-12-04T09:37:12.0940399Z + DYNAMO_BENCHMARK_FLAGS=()
2025-12-04T09:37:12.0940686Z + [[ inductor == *pr_time_benchmarks* ]]
2025-12-04T09:37:12.0941007Z + [[ inductor == *dynamo_eager* ]]
2025-12-04T09:37:12.0941298Z + [[ inductor == *aot_eager* ]]
2025-12-04T09:37:12.0941582Z + [[ inductor == *aot_inductor* ]]
2025-12-04T09:37:12.0941886Z + [[ inductor == *max_autotune_inductor* ]]
2025-12-04T09:37:12.0942194Z + [[ inductor == *inductor* ]]
2025-12-04T09:37:12.0942467Z + [[ inductor != *perf* ]]
2025-12-04T09:37:12.0942755Z + DYNAMO_BENCHMARK_FLAGS+=(--inductor)
2025-12-04T09:37:12.0943075Z + [[ inductor == *dynamic* ]]
2025-12-04T09:37:12.0943348Z + [[ inductor == *cpu* ]]
2025-12-04T09:37:12.0943589Z + [[ inductor == *xpu* ]]
2025-12-04T09:37:12.0943866Z + DYNAMO_BENCHMARK_FLAGS+=(--device cuda)
2025-12-04T09:37:12.0974520Z + [[ linux-jammy-cuda12.8-py3.10-gcc11-sm86 == *libtorch* ]]
2025-12-04T09:37:12.0974963Z + [[ linux-jammy-cuda12.8-py3.10-gcc11-sm86 == *-bazel-* ]]
2025-12-04T09:37:12.0979000Z + cd test
2025-12-04T09:37:12.0979306Z + python -c 'import torch; print(torch.__config__.show())'
2025-12-04T09:37:12.6538788Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-12-04T09:37:12.6540503Z   import pynvml  # type: ignore[import]
2025-12-04T09:37:13.8521336Z PyTorch built with:
2025-12-04T09:37:13.8521699Z   - GCC 11.4
2025-12-04T09:37:13.8521938Z   - C++ Version: 201703
2025-12-04T09:37:13.8522447Z   - Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications
2025-12-04T09:37:13.8523109Z   - Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d)
2025-12-04T09:37:13.8523532Z   - OpenMP 201511 (a.k.a. OpenMP 4.5)
2025-12-04T09:37:13.8523851Z   - LAPACK is enabled (usually provided by MKL)
2025-12-04T09:37:13.8524151Z   - NNPACK is enabled
2025-12-04T09:37:13.8524399Z   - CPU capability usage: AVX2
2025-12-04T09:37:13.8524659Z   - CUDA Runtime 12.8
2025-12-04T09:37:13.8524979Z   - NVCC architecture flags: -gencode;arch=compute_86,code=sm_86
2025-12-04T09:37:13.8525359Z   - CuDNN 91.0.2  (built against CUDA 12.9)
2025-12-04T09:37:13.8530039Z   - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, COMMIT_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32, CUDA_VERSION=12.8, CUDNN_VERSION=9.10.2, 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=range-loop-construct -Werror=bool-operation -Wnarrowing -Wno-missing-field-initializers -Wno-unknown-pragmas -Wno-unused-parameter -Wno-strict-overflow -Wno-strict-aliasing -Wno-stringop-overflow -Wsuggest-override -Wno-psabi -Wno-error=old-style-cast -faligned-new -Werror -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, FORCE_FALLBACK_CUDA_MPI=1, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, TORCH_VERSION=2.10.0, 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, 
2025-12-04T09:37:13.8534406Z 
2025-12-04T09:37:14.2455608Z + cd test
2025-12-04T09:37:14.2455942Z + python -c 'import torch; print(torch.__config__.parallel_info())'
2025-12-04T09:37:14.7981419Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-12-04T09:37:14.7983078Z   import pynvml  # type: ignore[import]
2025-12-04T09:37:15.6854428Z ATen/Parallel:
2025-12-04T09:37:15.6854773Z 	at::get_num_threads() : 8
2025-12-04T09:37:15.6855133Z 	at::get_num_interop_threads() : 16
2025-12-04T09:37:15.6855426Z OpenMP 201511 (a.k.a. OpenMP 4.5)
2025-12-04T09:37:15.6855711Z 	omp_get_max_threads() : 8
2025-12-04T09:37:15.6856302Z Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications
2025-12-04T09:37:15.6856898Z 	mkl_get_max_threads() : 8
2025-12-04T09:37:15.6857277Z Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d)
2025-12-04T09:37:15.6857749Z std::thread::hardware_concurrency() : 16
2025-12-04T09:37:15.6858060Z Environment variables:
2025-12-04T09:37:15.6858290Z 	OMP_NUM_THREADS : [not set]
2025-12-04T09:37:15.6858595Z 	MKL_NUM_THREADS : [not set]
2025-12-04T09:37:15.6858879Z ATen parallel backend: OpenMP
2025-12-04T09:37:15.6859047Z 
2025-12-04T09:37:16.0235632Z + [[ inductor == *numpy_2* ]]
2025-12-04T09:37:16.0236091Z + [[ linux-jammy-cuda12.8-py3.10-gcc11-sm86 == *aarch64* ]]
2025-12-04T09:37:16.0236455Z + [[ inductor == *backward* ]]
2025-12-04T09:37:16.0236751Z + [[ inductor == *libtorch_agnostic_targetting* ]]
2025-12-04T09:37:16.0237069Z + [[ inductor == *xla* ]]
2025-12-04T09:37:16.0237331Z + [[ inductor == *vllm* ]]
2025-12-04T09:37:16.0237581Z + [[ inductor == *executorch* ]]
2025-12-04T09:37:16.0237854Z + [[ inductor == \j\i\t\_\l\e\g\a\c\y ]]
2025-12-04T09:37:16.0238141Z + [[ inductor == \q\u\a\n\t\i\z\a\t\i\o\n ]]
2025-12-04T09:37:16.0238518Z + [[ linux-jammy-cuda12.8-py3.10-gcc11-sm86 == *libtorch* ]]
2025-12-04T09:37:16.0238873Z + [[ inductor == distributed ]]
2025-12-04T09:37:16.0239137Z + [[ inductor == *operator_benchmark* ]]
2025-12-04T09:37:16.0239450Z + [[ inductor == *operator_microbenchmark* ]]
2025-12-04T09:37:16.0239772Z + [[ inductor == *attention_microbenchmark* ]]
2025-12-04T09:37:16.0240087Z + [[ inductor == *inductor_distributed* ]]
2025-12-04T09:37:16.0240379Z + [[ inductor == *inductor-halide* ]]
2025-12-04T09:37:16.0240670Z + [[ inductor == *inductor-pallas* ]]
2025-12-04T09:37:16.0240969Z + [[ inductor == *inductor-triton-cpu* ]]
2025-12-04T09:37:16.0241282Z + [[ inductor == *inductor-micro-benchmark* ]]
2025-12-04T09:37:16.0241977Z + [[ inductor == *aoti_cross_compile_for_windows* ]]
2025-12-04T09:37:16.0242297Z + [[ inductor == *huggingface* ]]
2025-12-04T09:37:16.0242553Z + [[ inductor == *timm* ]]
2025-12-04T09:37:16.0242797Z + [[ inductor == cachebench ]]
2025-12-04T09:37:16.0243061Z + [[ inductor == verify_cachebench ]]
2025-12-04T09:37:16.0243338Z + [[ inductor == *torchbench* ]]
2025-12-04T09:37:16.0243612Z + [[ inductor == *inductor_cpp_wrapper* ]]
2025-12-04T09:37:16.0243918Z + [[ inductor == *inductor_core* ]]
2025-12-04T09:37:16.0244183Z + [[ inductor == *inductor* ]]
2025-12-04T09:37:16.0244420Z + install_torchvision
2025-12-04T09:37:16.0244641Z + local orig_preload
2025-12-04T09:37:16.0244855Z + local commit
2025-12-04T09:37:16.0245055Z ++ get_pinned_commit vision
2025-12-04T09:37:16.0245313Z ++ cat .github/ci_commit_pins/vision.txt
2025-12-04T09:37:16.0278988Z + commit=617079d944b0e72632311c30ae2bbdf1168b901e
2025-12-04T09:37:16.0279456Z + orig_preload=
2025-12-04T09:37:16.0279746Z + '[' -n '' ']'
2025-12-04T09:37:16.0280124Z + [[ linux-jammy-cuda12.8-py3.10-gcc11-sm86 == *cuda* ]]
2025-12-04T09:37:16.0280565Z + export FORCE_CUDA=1
2025-12-04T09:37:16.0280822Z + FORCE_CUDA=1
2025-12-04T09:37:16.0281026Z + export WITH_CUDA=1
2025-12-04T09:37:16.0281239Z + WITH_CUDA=1
2025-12-04T09:37:16.0282025Z + pip_build_and_install git+https://github.com/pytorch/vision.git@617079d944b0e72632311c30ae2bbdf1168b901e dist/vision
2025-12-04T09:37:16.0282838Z + local build_target=git+https://github.com/pytorch/vision.git@617079d944b0e72632311c30ae2bbdf1168b901e
2025-12-04T09:37:16.0283351Z + local wheel_dir=dist/vision
2025-12-04T09:37:16.0283603Z + local found_whl=0
2025-12-04T09:37:16.0283834Z + for file in "${wheel_dir}"/*.whl
2025-12-04T09:37:16.0284095Z + [[ -f dist/vision/*.whl ]]
2025-12-04T09:37:16.0284342Z + '[' 0 == 0 ']'
2025-12-04T09:37:16.0285027Z + python3 -m pip wheel --no-build-isolation --no-deps -w dist/vision git+https://github.com/pytorch/vision.git@617079d944b0e72632311c30ae2bbdf1168b901e
2025-12-04T09:37:16.3884562Z Collecting git+https://github.com/pytorch/vision.git@617079d944b0e72632311c30ae2bbdf1168b901e
2025-12-04T09:37:16.3889285Z   Cloning https://github.com/pytorch/vision.git (to revision 617079d944b0e72632311c30ae2bbdf1168b901e) to /tmp/pip-req-build-w2qyneig
2025-12-04T09:37:16.4054051Z   Running command git clone --filter=blob:none --quiet https://github.com/pytorch/vision.git /tmp/pip-req-build-w2qyneig
2025-12-04T09:37:18.2153329Z   Running command git rev-parse -q --verify 'sha^617079d944b0e72632311c30ae2bbdf1168b901e'
2025-12-04T09:37:18.2179804Z   Running command git fetch -q https://github.com/pytorch/vision.git 617079d944b0e72632311c30ae2bbdf1168b901e
2025-12-04T09:37:18.3450070Z   Resolved https://github.com/pytorch/vision.git to commit 617079d944b0e72632311c30ae2bbdf1168b901e
2025-12-04T09:37:20.7187632Z   Preparing metadata (pyproject.toml) ... [?25l- \ | / done
2025-12-04T09:37:20.7224221Z [?25hBuilding wheels for collected packages: torchvision
2025-12-04T09:38:39.6511412Z   Building wheel for torchvision (pyproject.toml) ... [?25l- \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | done
2025-12-04T09:38:39.6543054Z [?25h  Created wheel for torchvision: filename=torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl size=1786361 sha256=4898e3f08b61bd75239787e273aa37f841413ded7bfa5eb3ac2e7699b26c8f3a
2025-12-04T09:38:39.6546023Z   Stored in directory: /var/lib/jenkins/.cache/pip/wheels/12/b2/29/1f82685c5b5173629e1f36a9b93989ce92ce563e5fb91d27ac
2025-12-04T09:38:39.6582285Z Successfully built torchvision
2025-12-04T09:38:39.7705414Z + for file in "${wheel_dir}"/*.whl
2025-12-04T09:38:39.7705978Z + pip_install_whl dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl
2025-12-04T09:38:39.7706597Z + args=('dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl')
2025-12-04T09:38:39.7707012Z + local args
2025-12-04T09:38:39.7707634Z + [[ dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl == *\ * ]]
2025-12-04T09:38:39.7708071Z + for path in "${args[@]}"
2025-12-04T09:38:39.7708504Z + echo 'Installing dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl'
2025-12-04T09:38:39.7709137Z Installing dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl
2025-12-04T09:38:39.7709856Z + python3 -mpip install --no-index --no-deps dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl
2025-12-04T09:38:40.1434627Z Processing ./dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl
2025-12-04T09:38:40.1531747Z Installing collected packages: torchvision
2025-12-04T09:38:40.6621152Z Successfully installed torchvision-0.25.0a0+617079d
2025-12-04T09:38:40.7035565Z + '[' -n '' ']'
2025-12-04T09:38:40.7035851Z + test_inductor_shard 1
2025-12-04T09:38:40.7036132Z + [[ -z 2 ]]
2025-12-04T09:38:40.7036415Z + python tools/dynamo/verify_dynamo.py
2025-12-04T09:38:41.2808898Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-12-04T09:38:41.2810552Z   import pynvml  # type: ignore[import]
2025-12-04T09:38:42.3460444Z Python version: 3.10.14
2025-12-04T09:38:42.3460730Z `torch` version: 2.10.0a0+gitffd9b0f
2025-12-04T09:38:42.3461005Z CUDA version: 12.8
2025-12-04T09:38:42.3461212Z ROCM version: None
2025-12-04T09:38:42.3461347Z 
2025-12-04T09:38:55.3281010Z All required checks passed
2025-12-04T09:38:56.8527372Z + python test/run_test.py --inductor --include test_modules test_ops test_ops_gradients test_torch --shard 1 2 --verbose
2025-12-04T09:38:57.4389135Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-12-04T09:38:57.4390781Z   import pynvml  # type: ignore[import]
2025-12-04T09:39:00.2944840Z No TD results found
2025-12-04T09:39:00.2946162Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json
2025-12-04T09:39:00.3547155Z Ignoring disabled issues:  ['']
2025-12-04T09:39:00.3670771Z ##[warning] Gathered no stats from artifacts for inductor-test build env and inductor test config. Using default job name and inductor test config instead.
2025-12-04T09:39:00.4066751Z ##[warning] Gathered no stats from artifacts for inductor-test build env and inductor test config. Using default job name and inductor test config instead.
2025-12-04T09:39:00.4078836Z Running all tests
2025-12-04T09:39:00.4084500Z Running parallel tests on 3 processes
2025-12-04T09:39:00.4084847Z Name: tests to run (est. time: 47.21min)
2025-12-04T09:39:00.4085153Z   Serial tests (2):
2025-12-04T09:39:00.4085374Z     test_torch 1/2
2025-12-04T09:39:00.4085633Z     test_torch 2/2
2025-12-04T09:39:00.4085931Z   Parallel tests (7):
2025-12-04T09:39:00.4086158Z     test_ops 2/13
2025-12-04T09:39:00.4086369Z     test_ops 6/13
2025-12-04T09:39:00.4086585Z     test_ops 7/13
2025-12-04T09:39:00.4086786Z     test_ops 8/13
2025-12-04T09:39:00.4086997Z     test_ops 12/13
2025-12-04T09:39:00.4087207Z     test_ops 13/13
2025-12-04T09:39:00.4087423Z     test_ops_gradients 1/2
2025-12-04T09:39:00.4087685Z Name: excluded (est. time: 0.0min)
2025-12-04T09:39:00.4087954Z   Serial tests (0):
2025-12-04T09:39:00.4088168Z   Parallel tests (0):
2025-12-04T09:39:00.4089148Z Running test_torch 1/2 ... [2025-12-04 09:39:00.408523][1472.388297846]
2025-12-04T09:39:00.4089626Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:39:00.4092339Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_torch.py', '--shard-id=1', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:39:00.408881]
2025-12-04T09:42:42.6487003Z 
2025-12-04T09:42:42.6487772Z PRINTING LOG FILE of test_torch 1/2 (test/test-reports/test_torch_1.2_fe95c0897e3cbc0c_.log)
2025-12-04T09:42:42.6489314Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-12-04T09:42:42.6490966Z   import pynvml  # type: ignore[import]
2025-12-04T09:42:42.6491692Z Test results will be stored in test-reports/python-pytest/test_torch/test_torch-c1a49d90b2c3156f.xml
2025-12-04T09:42:42.6492530Z ============================= test session starts ==============================
2025-12-04T09:42:42.6493156Z platform linux -- Python 3.10.14, pytest-9.0.1, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python
2025-12-04T09:42:42.6493624Z cachedir: .pytest_cache
2025-12-04T09:42:42.6494312Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow]
2025-12-04T09:42:42.6497469Z benchmark: 5.2.3 (defaults: timer=time.perf_counter disable_gc=False min_rounds=5 min_time=0.000005 max_time=1.0 calibration_precision=10 warmup=False warmup_iterations=100000)
2025-12-04T09:42:42.6498487Z rootdir: /var/lib/jenkins/workspace
2025-12-04T09:42:42.6498889Z configfile: pytest.ini
2025-12-04T09:42:42.6499884Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, hydra-core-1.3.2, benchmark-5.2.3, typeguard-4.4.4
2025-12-04T09:42:42.6500965Z collecting ... collected 976 items
2025-12-04T09:42:42.6501393Z stepcurrent: Cannot find last run test, not skipping
2025-12-04T09:42:42.6551236Z Running 150 items in this shard: test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_tensoriterator_output_setup
2025-12-04T09:42:42.6580679Z 
2025-12-04T09:42:42.6580944Z test_torch.py::TestTorch::test_index_add_correctness PASSED [10.4672s]   [  0%]
2025-12-04T09:42:42.6581457Z test_torch.py::TestTorch::test_qengine SKIPPED [0.0405s] (Test is
2025-12-04T09:42:42.6581933Z enabled but --rerun-disabled-tests verification mode is set, so only
2025-12-04T09:42:42.6582408Z disabled tests are run)                                                  [  1%]
2025-12-04T09:42:42.6583029Z test_torch.py::TestTorch::test_tensoriterator_output_setup SKIPPED [0.0369s]o only disabled tests are run) [  2%]
2025-12-04T09:42:42.6583687Z test_torch.py::TestTorch::test_index_add_correctness PASSED [3.6471s]    [  2%]
2025-12-04T09:42:42.6584214Z test_torch.py::TestTorch::test_index_add_correctness PASSED [3.8036s]    [  2%]
2025-12-04T09:42:42.6584748Z test_torch.py::TestTorch::test_index_add_correctness FAILED [3.3811s]    [  2%]
2025-12-04T09:42:42.6585391Z test_torch.py::TestTorch::test_index_add_correctness PASSED [3.4198s]    [  2%]
2025-12-04T09:42:42.6585945Z test_torch.py::TestTorch::test_index_add_correctness FAILED [3.1779s]    [  2%]
2025-12-04T09:42:42.6586524Z test_torch.py::TestTorch::test_index_add_correctness FAILED [3.4250s]    [  2%]
2025-12-04T09:42:42.6587052Z test_torch.py::TestTorch::test_index_add_correctness PASSED [3.3724s]    [  2%]
2025-12-04T09:42:42.6587581Z test_torch.py::TestTorch::test_index_add_correctness PASSED [3.3193s]    [  2%]
2025-12-04T09:42:42.6588103Z test_torch.py::TestTorch::test_index_add_correctness PASSED [3.2980s]    [  2%]
2025-12-04T09:42:42.6588635Z test_torch.py::TestTorch::test_index_add_correctness FAILED [3.1909s]    [  2%]
2025-12-04T09:42:42.6589163Z test_torch.py::TestTorch::test_index_add_correctness PASSED [3.6193s]    [  2%]
2025-12-04T09:42:42.6589801Z test_torch.py::TestTorch::test_index_add_correctness PASSED [3.3144s]    [  2%]
2025-12-04T09:42:42.6590326Z test_torch.py::TestTorch::test_index_add_correctness PASSED [3.3226s]    [  2%]
2025-12-04T09:42:42.6590858Z test_torch.py::TestTorch::test_index_add_correctness PASSED [3.3138s]    [  2%]
2025-12-04T09:42:42.6591403Z test_torch.py::TestTorch::test_index_add_correctness PASSED [3.2790s]    [  2%]
2025-12-04T09:42:42.6591931Z test_torch.py::TestTorch::test_index_add_correctness PASSED [3.6546s]    [  2%]
2025-12-04T09:42:42.6592460Z test_torch.py::TestTorch::test_index_add_correctness PASSED [3.3618s]    [  2%]
2025-12-04T09:42:42.6592997Z test_torch.py::TestTorch::test_index_add_correctness PASSED [3.3301s]    [  2%]
2025-12-04T09:42:42.6593527Z test_torch.py::TestTorch::test_index_add_correctness PASSED [3.3232s]    [  2%]
2025-12-04T09:42:42.6594053Z test_torch.py::TestTorch::test_index_add_correctness PASSED [3.2966s]    [  2%]
2025-12-04T09:42:42.6596617Z test_torch.py::TestTorch::test_index_add_correctness PASSED [3.5785s]    [  2%]
2025-12-04T09:42:42.6597173Z test_torch.py::TestTorch::test_index_add_correctness PASSED [3.3304s]    [  2%]
2025-12-04T09:42:42.6597698Z test_torch.py::TestTorch::test_index_add_correctness PASSED [3.3046s]    [  2%]
2025-12-04T09:42:42.6598398Z test_torch.py::TestTorch::test_index_add_correctness PASSED [3.3704s]    [  2%]
2025-12-04T09:42:42.6598941Z test_torch.py::TestTorch::test_index_add_correctness PASSED [3.2982s]    [  2%]
2025-12-04T09:42:42.6599480Z test_torch.py::TestTorch::test_index_add_correctness PASSED [3.3391s]    [  2%]
2025-12-04T09:42:42.6599999Z test_torch.py::TestTorch::test_index_add_correctness FAILED [3.5270s]    [  2%]
2025-12-04T09:42:42.6600525Z test_torch.py::TestTorch::test_index_add_correctness FAILED [3.2263s]    [  2%]
2025-12-04T09:42:42.6601055Z test_torch.py::TestTorch::test_index_add_correctness PASSED [3.3312s]    [  2%]
2025-12-04T09:42:42.6601588Z test_torch.py::TestTorch::test_index_add_correctness PASSED [3.3094s]    [  2%]
2025-12-04T09:42:42.6602113Z test_torch.py::TestTorch::test_index_add_correctness PASSED [3.2763s]    [  2%]
2025-12-04T09:42:42.6602934Z test_torch.py::TestTorch::test_index_add_correctness PASSED [3.2268s]    [  2%]
2025-12-04T09:42:42.6603472Z test_torch.py::TestTorch::test_index_add_correctness PASSED [3.6959s]    [  2%]
2025-12-04T09:42:42.6603991Z test_torch.py::TestTorch::test_index_add_correctness PASSED [3.2868s]    [  2%]
2025-12-04T09:42:42.6604526Z test_torch.py::TestTorch::test_index_add_correctness PASSED [3.3270s]    [  2%]
2025-12-04T09:42:42.6605058Z test_torch.py::TestTorch::test_index_add_correctness PASSED [3.3179s]    [  2%]
2025-12-04T09:42:42.6605594Z test_torch.py::TestTorch::test_index_add_correctness FAILED [3.0564s]    [  2%]
2025-12-04T09:42:42.6606113Z test_torch.py::TestTorch::test_index_add_correctness PASSED [3.2878s]    [  2%]
2025-12-04T09:42:42.6606639Z test_torch.py::TestTorch::test_index_add_correctness PASSED [3.7020s]    [  2%]
2025-12-04T09:42:42.6607168Z test_torch.py::TestTorch::test_index_add_correctness FAILED [3.0727s]    [  2%]
2025-12-04T09:42:42.6607691Z test_torch.py::TestTorch::test_index_add_correctness PASSED [3.3222s]    [  2%]
2025-12-04T09:42:42.6608223Z test_torch.py::TestTorch::test_index_add_correctness PASSED [3.3448s]    [  2%]
2025-12-04T09:42:42.6608756Z test_torch.py::TestTorch::test_index_add_correctness FAILED [3.1550s]    [  2%]
2025-12-04T09:42:42.6609286Z test_torch.py::TestTorch::test_index_add_correctness PASSED [3.3532s]    [  2%]
2025-12-04T09:42:42.6609803Z test_torch.py::TestTorch::test_index_add_correctness PASSED [3.7735s]    [  2%]
2025-12-04T09:42:42.6610327Z test_torch.py::TestTorch::test_index_add_correctness PASSED [3.3070s]    [  2%]
2025-12-04T09:42:42.6610853Z test_torch.py::TestTorch::test_index_add_correctness PASSED [3.3673s]    [  2%]
2025-12-04T09:42:42.6611376Z test_torch.py::TestTorch::test_index_add_correctness PASSED [3.3227s]    [  2%]
2025-12-04T09:42:42.6611911Z test_torch.py::TestTorch::test_index_add_correctness PASSED [3.2316s]    [  2%]
2025-12-04T09:42:42.6612559Z test_torch.py::TestTorch::test_qengine SKIPPED [0.0378s] (Test is
2025-12-04T09:42:42.6613049Z enabled but --rerun-disabled-tests verification mode is set, so only
2025-12-04T09:42:42.6613525Z disabled tests are run)                                                  [  2%]
2025-12-04T09:42:42.6613978Z test_torch.py::TestTorch::test_qengine SKIPPED [0.0367s] (Test is
2025-12-04T09:42:42.6614452Z enabled but --rerun-disabled-tests verification mode is set, so only
2025-12-04T09:42:42.6614971Z disabled tests are run)                                                  [  2%]
2025-12-04T09:42:42.6615418Z test_torch.py::TestTorch::test_qengine SKIPPED [0.0374s] (Test is
2025-12-04T09:42:42.6615893Z enabled but --rerun-disabled-tests verification mode is set, so only
2025-12-04T09:42:42.6616365Z disabled tests are run)                                                  [  2%]
2025-12-04T09:42:42.6616805Z test_torch.py::TestTorch::test_qengine SKIPPED [0.0370s] (Test is
2025-12-04T09:42:42.6617283Z enabled but --rerun-disabled-tests verification mode is set, so only
2025-12-04T09:42:42.6617748Z disabled tests are run)                                                  [  2%]
2025-12-04T09:42:42.6618200Z test_torch.py::TestTorch::test_qengine SKIPPED [0.0366s] (Test is
2025-12-04T09:42:42.6618783Z enabled but --rerun-disabled-tests verification mode is set, so only
2025-12-04T09:42:42.6619253Z disabled tests are run)                                                  [  2%]
2025-12-04T09:42:42.6619708Z test_torch.py::TestTorch::test_qengine SKIPPED [0.0366s] (Test is
2025-12-04T09:42:42.6620174Z enabled but --rerun-disabled-tests verification mode is set, so only
2025-12-04T09:42:42.6620642Z disabled tests are run)                                                  [  2%]
2025-12-04T09:42:42.6621092Z test_torch.py::TestTorch::test_qengine SKIPPED [0.0364s] (Test is
2025-12-04T09:42:42.6621565Z enabled but --rerun-disabled-tests verification mode is set, so only
2025-12-04T09:42:42.6622024Z disabled tests are run)                                                  [  2%]
2025-12-04T09:42:42.6622468Z test_torch.py::TestTorch::test_qengine SKIPPED [0.0364s] (Test is
2025-12-04T09:42:42.6622936Z enabled but --rerun-disabled-tests verification mode is set, so only
2025-12-04T09:42:42.6623401Z disabled tests are run)                                                  [  2%]
2025-12-04T09:42:42.6623857Z test_torch.py::TestTorch::test_qengine SKIPPED [0.0365s] (Test is
2025-12-04T09:42:42.6624327Z enabled but --rerun-disabled-tests verification mode is set, so only
2025-12-04T09:42:42.6624789Z disabled tests are run)                                                  [  2%]
2025-12-04T09:42:42.6625428Z test_torch.py::TestTorch::test_qengine SKIPPED [0.0365s] (Test is
2025-12-04T09:42:42.6625898Z enabled but --rerun-disabled-tests verification mode is set, so only
2025-12-04T09:42:42.6626361Z disabled tests are run)                                                  [  2%]
2025-12-04T09:42:42.6626801Z test_torch.py::TestTorch::test_qengine SKIPPED [0.0362s] (Test is
2025-12-04T09:42:42.6627273Z enabled but --rerun-disabled-tests verification mode is set, so only
2025-12-04T09:42:42.6627736Z disabled tests are run)                                                  [  2%]
2025-12-04T09:42:42.6628190Z test_torch.py::TestTorch::test_qengine SKIPPED [0.0362s] (Test is
2025-12-04T09:42:42.6628652Z enabled but --rerun-disabled-tests verification mode is set, so only
2025-12-04T09:42:42.6629116Z disabled tests are run)                                                  [  2%]
2025-12-04T09:42:42.6629569Z test_torch.py::TestTorch::test_qengine SKIPPED [0.0362s] (Test is
2025-12-04T09:42:42.6630031Z enabled but --rerun-disabled-tests verification mode is set, so only
2025-12-04T09:42:42.6630491Z disabled tests are run)                                                  [  2%]
2025-12-04T09:42:42.6630935Z test_torch.py::TestTorch::test_qengine SKIPPED [0.0363s] (Test is
2025-12-04T09:42:42.6631400Z enabled but --rerun-disabled-tests verification mode is set, so only
2025-12-04T09:42:42.6631952Z disabled tests are run)                                                  [  2%]
2025-12-04T09:42:42.6632396Z test_torch.py::TestTorch::test_qengine SKIPPED [0.0363s] (Test is
2025-12-04T09:42:42.6632871Z enabled but --rerun-disabled-tests verification mode is set, so only
2025-12-04T09:42:42.6633325Z disabled tests are run)                                                  [  2%]
2025-12-04T09:42:42.6633772Z test_torch.py::TestTorch::test_qengine SKIPPED [0.0362s] (Test is
2025-12-04T09:42:42.6634251Z enabled but --rerun-disabled-tests verification mode is set, so only
2025-12-04T09:42:42.6634727Z disabled tests are run)                                                  [  2%]
2025-12-04T09:42:42.6635170Z test_torch.py::TestTorch::test_qengine SKIPPED [0.0362s] (Test is
2025-12-04T09:42:42.6635645Z enabled but --rerun-disabled-tests verification mode is set, so only
2025-12-04T09:42:42.6636109Z disabled tests are run)                                                  [  2%]
2025-12-04T09:42:42.6636563Z test_torch.py::TestTorch::test_qengine SKIPPED [0.0367s] (Test is
2025-12-04T09:42:42.6637019Z enabled but --rerun-disabled-tests verification mode is set, so only
2025-12-04T09:42:42.6637578Z disabled tests are run)                                                  [  2%]
2025-12-04T09:42:42.6638119Z test_torch.py::TestTorch::test_qengine SKIPPED [0.0362s] (Test is
2025-12-04T09:42:42.6638582Z enabled but --rerun-disabled-tests verification mode is set, so only
2025-12-04T09:42:42.6639042Z disabled tests are run)                                                  [  2%]
2025-12-04T09:42:42.6639485Z test_torch.py::TestTorch::test_qengine SKIPPED [0.0361s] (Test is
2025-12-04T09:42:42.6639950Z enabled but --rerun-disabled-tests verification mode is set, so only
2025-12-04T09:42:42.6640405Z disabled tests are run)                                                  [  2%]
2025-12-04T09:42:42.6640850Z test_torch.py::TestTorch::test_qengine SKIPPED [0.0362s] (Test is
2025-12-04T09:42:42.6641318Z enabled but --rerun-disabled-tests verification mode is set, so only
2025-12-04T09:42:42.6641770Z disabled tests are run)                                                  [  2%]
2025-12-04T09:42:42.6642208Z test_torch.py::TestTorch::test_qengine SKIPPED [0.0360s] (Test is
2025-12-04T09:42:42.6642676Z enabled but --rerun-disabled-tests verification mode is set, so only
2025-12-04T09:42:42.6643136Z disabled tests are run)                                                  [  2%]
2025-12-04T09:42:42.6643565Z test_torch.py::TestTorch::test_qengine SKIPPED [0.0361s] (Test is
2025-12-04T09:42:42.6644018Z enabled but --rerun-disabled-tests verification mode is set, so only
2025-12-04T09:42:42.6644470Z disabled tests are run)                                                  [  2%]
2025-12-04T09:42:42.6644903Z test_torch.py::TestTorch::test_qengine SKIPPED [0.0362s] (Test is
2025-12-04T09:42:42.6645364Z enabled but --rerun-disabled-tests verification mode is set, so only
2025-12-04T09:42:42.6645834Z disabled tests are run)                                                  [  2%]
2025-12-04T09:42:42.6646277Z test_torch.py::TestTorch::test_qengine SKIPPED [0.0361s] (Test is
2025-12-04T09:42:42.6646737Z enabled but --rerun-disabled-tests verification mode is set, so only
2025-12-04T09:42:42.6647200Z disabled tests are run)                                                  [  2%]
2025-12-04T09:42:42.6647645Z test_torch.py::TestTorch::test_qengine SKIPPED [0.0362s] (Test is
2025-12-04T09:42:42.6648101Z enabled but --rerun-disabled-tests verification mode is set, so only
2025-12-04T09:42:42.6648571Z disabled tests are run)                                                  [  2%]
2025-12-04T09:42:42.6649016Z test_torch.py::TestTorch::test_qengine SKIPPED [0.0361s] (Test is
2025-12-04T09:42:42.6649477Z enabled but --rerun-disabled-tests verification mode is set, so only
2025-12-04T09:42:42.6649934Z disabled tests are run)                                                  [  2%]
2025-12-04T09:42:42.6650467Z test_torch.py::TestTorch::test_qengine SKIPPED [0.0361s] (Test is
2025-12-04T09:42:42.6650922Z enabled but --rerun-disabled-tests verification mode is set, so only
2025-12-04T09:42:42.6651372Z disabled tests are run)                                                  [  2%]
2025-12-04T09:42:42.6651810Z test_torch.py::TestTorch::test_qengine SKIPPED [0.0362s] (Test is
2025-12-04T09:42:42.6652263Z enabled but --rerun-disabled-tests verification mode is set, so only
2025-12-04T09:42:42.6652719Z disabled tests are run)                                                  [  2%]
2025-12-04T09:42:42.6653473Z test_torch.py::TestTorch::test_qengine SKIPPED [0.0361s] (Test is
2025-12-04T09:42:42.6653944Z enabled but --rerun-disabled-tests verification mode is set, so only
2025-12-04T09:42:42.6654415Z disabled tests are run)                                                  [  2%]
2025-12-04T09:42:42.6654861Z test_torch.py::TestTorch::test_qengine SKIPPED [0.0361s] (Test is
2025-12-04T09:42:42.6655353Z enabled but --rerun-disabled-tests verification mode is set, so only
2025-12-04T09:42:42.6655852Z disabled tests are run)                                                  [  2%]
2025-12-04T09:42:42.6656298Z test_torch.py::TestTorch::test_qengine SKIPPED [0.0361s] (Test is
2025-12-04T09:42:42.6656834Z enabled but --rerun-disabled-tests verification mode is set, so only
2025-12-04T09:42:42.6657297Z disabled tests are run)                                                  [  2%]
2025-12-04T09:42:42.6657752Z test_torch.py::TestTorch::test_qengine SKIPPED [0.0361s] (Test is
2025-12-04T09:42:42.6658207Z enabled but --rerun-disabled-tests verification mode is set, so only
2025-12-04T09:42:42.6658672Z disabled tests are run)                                                  [  2%]
2025-12-04T09:42:42.6659115Z test_torch.py::TestTorch::test_qengine SKIPPED [0.0361s] (Test is
2025-12-04T09:42:42.6659581Z enabled but --rerun-disabled-tests verification mode is set, so only
2025-12-04T09:42:42.6660036Z disabled tests are run)                                                  [  2%]
2025-12-04T09:42:42.6660482Z test_torch.py::TestTorch::test_qengine SKIPPED [0.0360s] (Test is
2025-12-04T09:42:42.6660941Z enabled but --rerun-disabled-tests verification mode is set, so only
2025-12-04T09:42:42.6661401Z disabled tests are run)                                                  [  2%]
2025-12-04T09:42:42.6661843Z test_torch.py::TestTorch::test_qengine SKIPPED [0.0360s] (Test is
2025-12-04T09:42:42.6662301Z enabled but --rerun-disabled-tests verification mode is set, so only
2025-12-04T09:42:42.6662748Z disabled tests are run)                                                  [  2%]
2025-12-04T09:42:42.6663180Z test_torch.py::TestTorch::test_qengine SKIPPED [0.0359s] (Test is
2025-12-04T09:42:42.6663652Z enabled but --rerun-disabled-tests verification mode is set, so only
2025-12-04T09:42:42.6664108Z disabled tests are run)                                                  [  2%]
2025-12-04T09:42:42.6664562Z test_torch.py::TestTorch::test_qengine SKIPPED [0.0359s] (Test is
2025-12-04T09:42:42.6665026Z enabled but --rerun-disabled-tests verification mode is set, so only
2025-12-04T09:42:42.6665609Z disabled tests are run)                                                  [  2%]
2025-12-04T09:42:42.6666076Z test_torch.py::TestTorch::test_qengine SKIPPED [0.0359s] (Test is
2025-12-04T09:42:42.6666536Z enabled but --rerun-disabled-tests verification mode is set, so only
2025-12-04T09:42:42.6666992Z disabled tests are run)                                                  [  2%]
2025-12-04T09:42:42.6667425Z test_torch.py::TestTorch::test_qengine SKIPPED [0.0359s] (Test is
2025-12-04T09:42:42.6667882Z enabled but --rerun-disabled-tests verification mode is set, so only
2025-12-04T09:42:42.6668333Z disabled tests are run)                                                  [  2%]
2025-12-04T09:42:42.6668764Z test_torch.py::TestTorch::test_qengine SKIPPED [0.0358s] (Test is
2025-12-04T09:42:42.6669220Z enabled but --rerun-disabled-tests verification mode is set, so only
2025-12-04T09:42:42.6669772Z disabled tests are run)                                                  [  2%]
2025-12-04T09:42:42.6670214Z test_torch.py::TestTorch::test_qengine SKIPPED [0.0358s] (Test is
2025-12-04T09:42:42.6670668Z enabled but --rerun-disabled-tests verification mode is set, so only
2025-12-04T09:42:42.6671129Z disabled tests are run)                                                  [  2%]
2025-12-04T09:42:42.6671573Z test_torch.py::TestTorch::test_qengine SKIPPED [0.0358s] (Test is
2025-12-04T09:42:42.6672027Z enabled but --rerun-disabled-tests verification mode is set, so only
2025-12-04T09:42:42.6672485Z disabled tests are run)                                                  [  2%]
2025-12-04T09:42:42.6672923Z test_torch.py::TestTorch::test_qengine SKIPPED [0.0358s] (Test is
2025-12-04T09:42:42.6673381Z enabled but --rerun-disabled-tests verification mode is set, so only
2025-12-04T09:42:42.6673837Z disabled tests are run)                                                  [  2%]
2025-12-04T09:42:42.6674284Z test_torch.py::TestTorch::test_qengine SKIPPED [0.0359s] (Test is
2025-12-04T09:42:42.6674743Z enabled but --rerun-disabled-tests verification mode is set, so only
2025-12-04T09:42:42.6675193Z disabled tests are run)                                                  [  2%]
2025-12-04T09:42:42.6675756Z test_torch.py::TestTorch::test_qengine SKIPPED [0.0359s] (Test is
2025-12-04T09:42:42.6676220Z enabled but --rerun-disabled-tests verification mode is set, so only
2025-12-04T09:42:42.6676678Z disabled tests are run)                                                  [  2%]
2025-12-04T09:42:42.6677116Z test_torch.py::TestTorch::test_qengine SKIPPED [0.0357s] (Test is
2025-12-04T09:42:42.6677575Z enabled but --rerun-disabled-tests verification mode is set, so only
2025-12-04T09:42:42.6678033Z disabled tests are run)                                                  [  2%]
2025-12-04T09:42:42.6678471Z test_torch.py::TestTorch::test_qengine SKIPPED [0.0359s] (Test is
2025-12-04T09:42:42.6678939Z enabled but --rerun-disabled-tests verification mode is set, so only
2025-12-04T09:42:42.6679394Z disabled tests are run)                                                  [  2%]
2025-12-04T09:42:42.6679833Z test_torch.py::TestTorch::test_qengine SKIPPED [0.0357s] (Test is
2025-12-04T09:42:42.6680293Z enabled but --rerun-disabled-tests verification mode is set, so only
2025-12-04T09:42:42.6680750Z disabled tests are run)                                                  [  2%]
2025-12-04T09:42:42.6681352Z test_torch.py::TestTorch::test_tensoriterator_output_setup SKIPPED [0.0359s]o only disabled tests are run) [  2%]
2025-12-04T09:42:42.6682128Z test_torch.py::TestTorch::test_tensoriterator_output_setup SKIPPED [0.0360s]o only disabled tests are run) [  2%]
2025-12-04T09:42:42.6682885Z test_torch.py::TestTorch::test_tensoriterator_output_setup SKIPPED [0.0359s]o only disabled tests are run) [  2%]
2025-12-04T09:42:42.6683643Z test_torch.py::TestTorch::test_tensoriterator_output_setup SKIPPED [0.0359s]o only disabled tests are run) [  2%]
2025-12-04T09:42:42.6684406Z test_torch.py::TestTorch::test_tensoriterator_output_setup SKIPPED [0.0358s]o only disabled tests are run) [  2%]
2025-12-04T09:42:42.6685160Z test_torch.py::TestTorch::test_tensoriterator_output_setup SKIPPED [0.0358s]o only disabled tests are run) [  2%]
2025-12-04T09:42:42.6685914Z test_torch.py::TestTorch::test_tensoriterator_output_setup SKIPPED [0.0358s]o only disabled tests are run) [  2%]
2025-12-04T09:42:42.6686671Z test_torch.py::TestTorch::test_tensoriterator_output_setup SKIPPED [0.0357s]o only disabled tests are run) [  2%]
2025-12-04T09:42:42.6687430Z test_torch.py::TestTorch::test_tensoriterator_output_setup SKIPPED [0.0359s]o only disabled tests are run) [  2%]
2025-12-04T09:42:42.6688184Z test_torch.py::TestTorch::test_tensoriterator_output_setup SKIPPED [0.0360s]o only disabled tests are run) [  2%]
2025-12-04T09:42:42.6688944Z test_torch.py::TestTorch::test_tensoriterator_output_setup SKIPPED [0.0358s]o only disabled tests are run) [  2%]
2025-12-04T09:42:42.6689795Z test_torch.py::TestTorch::test_tensoriterator_output_setup SKIPPED [0.0358s]o only disabled tests are run) [  2%]
2025-12-04T09:42:42.6690554Z test_torch.py::TestTorch::test_tensoriterator_output_setup SKIPPED [0.0359s]o only disabled tests are run) [  2%]
2025-12-04T09:42:42.6691312Z test_torch.py::TestTorch::test_tensoriterator_output_setup SKIPPED [0.0361s]o only disabled tests are run) [  2%]
2025-12-04T09:42:42.6692077Z test_torch.py::TestTorch::test_tensoriterator_output_setup SKIPPED [0.0358s]o only disabled tests are run) [  2%]
2025-12-04T09:42:42.6692841Z test_torch.py::TestTorch::test_tensoriterator_output_setup SKIPPED [0.0360s]o only disabled tests are run) [  2%]
2025-12-04T09:42:42.6693607Z test_torch.py::TestTorch::test_tensoriterator_output_setup SKIPPED [0.0361s]o only disabled tests are run) [  2%]
2025-12-04T09:42:42.6694364Z test_torch.py::TestTorch::test_tensoriterator_output_setup SKIPPED [0.0359s]o only disabled tests are run) [  2%]
2025-12-04T09:42:42.6695137Z test_torch.py::TestTorch::test_tensoriterator_output_setup SKIPPED [0.0358s]o only disabled tests are run) [  2%]
2025-12-04T09:42:42.6695942Z test_torch.py::TestTorch::test_tensoriterator_output_setup SKIPPED [0.0358s]o only disabled tests are run) [  2%]
2025-12-04T09:42:42.6696786Z test_torch.py::TestTorch::test_tensoriterator_output_setup SKIPPED [0.0359s]o only disabled tests are run) [  2%]
2025-12-04T09:42:42.6697542Z test_torch.py::TestTorch::test_tensoriterator_output_setup SKIPPED [0.0358s]o only disabled tests are run) [  2%]
2025-12-04T09:42:42.6698306Z test_torch.py::TestTorch::test_tensoriterator_output_setup SKIPPED [0.0357s]o only disabled tests are run) [  2%]
2025-12-04T09:42:42.6699063Z test_torch.py::TestTorch::test_tensoriterator_output_setup SKIPPED [0.0358s]o only disabled tests are run) [  2%]
2025-12-04T09:42:42.6699822Z test_torch.py::TestTorch::test_tensoriterator_output_setup SKIPPED [0.0358s]o only disabled tests are run) [  2%]
2025-12-04T09:42:42.6700573Z test_torch.py::TestTorch::test_tensoriterator_output_setup SKIPPED [0.0358s]o only disabled tests are run) [  2%]
2025-12-04T09:42:42.6701344Z test_torch.py::TestTorch::test_tensoriterator_output_setup SKIPPED [0.0358s]o only disabled tests are run) [  2%]
2025-12-04T09:42:42.6702107Z test_torch.py::TestTorch::test_tensoriterator_output_setup SKIPPED [0.0359s]o only disabled tests are run) [  2%]
2025-12-04T09:42:42.6703184Z test_torch.py::TestTorch::test_tensoriterator_output_setup SKIPPED [0.0358s]o only disabled tests are run) [  2%]
2025-12-04T09:42:42.6703952Z test_torch.py::TestTorch::test_tensoriterator_output_setup SKIPPED [0.0358s]o only disabled tests are run) [  2%]
2025-12-04T09:42:42.6704742Z test_torch.py::TestTorch::test_tensoriterator_output_setup SKIPPED [0.0359s]o only disabled tests are run) [  2%]
2025-12-04T09:42:42.6705589Z test_torch.py::TestTorch::test_tensoriterator_output_setup SKIPPED [0.0358s]o only disabled tests are run) [  2%]
2025-12-04T09:42:42.6706350Z test_torch.py::TestTorch::test_tensoriterator_output_setup SKIPPED [0.0358s]o only disabled tests are run) [  2%]
2025-12-04T09:42:42.6707110Z test_torch.py::TestTorch::test_tensoriterator_output_setup SKIPPED [0.0358s]o only disabled tests are run) [  2%]
2025-12-04T09:42:42.6707876Z test_torch.py::TestTorch::test_tensoriterator_output_setup SKIPPED [0.0359s]o only disabled tests are run) [  2%]
2025-12-04T09:42:42.6708636Z test_torch.py::TestTorch::test_tensoriterator_output_setup SKIPPED [0.0358s]o only disabled tests are run) [  2%]
2025-12-04T09:42:42.6709393Z test_torch.py::TestTorch::test_tensoriterator_output_setup SKIPPED [0.0358s]o only disabled tests are run) [  2%]
2025-12-04T09:42:42.6710146Z test_torch.py::TestTorch::test_tensoriterator_output_setup SKIPPED [0.0359s]o only disabled tests are run) [  2%]
2025-12-04T09:42:42.6710905Z test_torch.py::TestTorch::test_tensoriterator_output_setup SKIPPED [0.0361s]o only disabled tests are run) [  2%]
2025-12-04T09:42:42.6711666Z test_torch.py::TestTorch::test_tensoriterator_output_setup SKIPPED [0.0358s]o only disabled tests are run) [  2%]
2025-12-04T09:42:42.6712577Z test_torch.py::TestTorch::test_tensoriterator_output_setup SKIPPED [0.0357s]o only disabled tests are run) [  2%]
2025-12-04T09:42:42.6713341Z test_torch.py::TestTorch::test_tensoriterator_output_setup SKIPPED [0.0358s]o only disabled tests are run) [  2%]
2025-12-04T09:42:42.6714101Z test_torch.py::TestTorch::test_tensoriterator_output_setup SKIPPED [0.0357s]o only disabled tests are run) [  2%]
2025-12-04T09:42:42.6714862Z test_torch.py::TestTorch::test_tensoriterator_output_setup SKIPPED [0.0357s]o only disabled tests are run) [  2%]
2025-12-04T09:42:42.6715623Z test_torch.py::TestTorch::test_tensoriterator_output_setup SKIPPED [0.0357s]o only disabled tests are run) [  2%]
2025-12-04T09:42:42.6716380Z test_torch.py::TestTorch::test_tensoriterator_output_setup SKIPPED [0.0358s]o only disabled tests are run) [  2%]
2025-12-04T09:42:42.6717143Z test_torch.py::TestTorch::test_tensoriterator_output_setup SKIPPED [0.0358s]o only disabled tests are run) [  2%]
2025-12-04T09:42:42.6717910Z test_torch.py::TestTorch::test_tensoriterator_output_setup SKIPPED [0.0357s]o only disabled tests are run) [  2%]
2025-12-04T09:42:42.6718780Z test_torch.py::TestTorch::test_tensoriterator_output_setup SKIPPED [0.0358s]o only disabled tests are run) [  2%]
2025-12-04T09:42:42.6719213Z 
2025-12-04T09:42:42.6719339Z =================================== FAILURES ===================================
2025-12-04T09:42:42.6719753Z _____________________ TestTorch.test_index_add_correctness _____________________
2025-12-04T09:42:42.6720143Z Traceback (most recent call last):
2025-12-04T09:42:42.6720613Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 59, in testPartExecutor
2025-12-04T09:42:42.6721056Z     yield
2025-12-04T09:42:42.6721393Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 591, in run
2025-12-04T09:42:42.6721822Z     self._callTestMethod(testMethod)
2025-12-04T09:42:42.6722279Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 549, in _callTestMethod
2025-12-04T09:42:42.6722729Z     method()
2025-12-04T09:42:42.6723244Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper
2025-12-04T09:42:42.6723826Z     method(*args, **kwargs)
2025-12-04T09:42:42.6724229Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/mock.py", line 1379, in patched
2025-12-04T09:42:42.6724678Z     return func(*newargs, **newkeywargs)
2025-12-04T09:42:42.6725091Z   File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
2025-12-04T09:42:42.6725493Z     return func(*args, **kwds)
2025-12-04T09:42:42.6725954Z   File "/var/lib/jenkins/workspace/test/test_torch.py", line 6717, in test_index_add_correctness
2025-12-04T09:42:42.6726456Z     helper(dim, dtype, device, size, size)
2025-12-04T09:42:42.6726867Z   File "/var/lib/jenkins/workspace/test/test_torch.py", line 6708, in helper
2025-12-04T09:42:42.6727342Z     self.assertEqual(out, ref_out, atol=1e-2, rtol=1e-2)
2025-12-04T09:42:42.6727942Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual
2025-12-04T09:42:42.6728528Z     return super().assertEqual(x, y, *args, **kwargs)
2025-12-04T09:42:42.6729159Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T09:42:42.6729831Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T09:42:42.6730216Z AssertionError: Tensor-likes are not close!
2025-12-04T09:42:42.6730426Z 
2025-12-04T09:42:42.6730526Z Mismatched elements: 1 / 327680 (0.0%)
2025-12-04T09:42:42.6730947Z Greatest absolute difference: 0.03125 at index (4, 231, 225) (up to 0.01 allowed)
2025-12-04T09:42:42.6731534Z Greatest relative difference: 0.01495361328125 at index (4, 231, 225) (up to 0.01 allowed)
2025-12-04T09:42:42.6731891Z 
2025-12-04T09:42:42.6732071Z To execute this test, run the following from the base repo dir:
2025-12-04T09:42:42.6732702Z     PYTORCH_TEST_WITH_INDUCTOR=1 python test/test_torch.py TestTorch.test_index_add_correctness
2025-12-04T09:42:42.6733079Z 
2025-12-04T09:42:42.6733287Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T09:42:42.6733775Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.6734147Z frames [('total', 57), ('ok', 54)]
2025-12-04T09:42:42.6737849Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.6743580Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.6745816Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.6747020Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.6748322Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.6748939Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.6749481Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.6749854Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.6753371Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.6758830Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.6761044Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.6761526Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.6762833Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.6764154Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.6764904Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.6765364Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.6769208Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.6774663Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.6776810Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.6777294Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.6778601Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.6779929Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.6780484Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.6780860Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.6784390Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.6790092Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.6792194Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.6792668Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.6793983Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.6795316Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.6795890Z _____________________ TestTorch.test_index_add_correctness _____________________
2025-12-04T09:42:42.6796283Z Traceback (most recent call last):
2025-12-04T09:42:42.6796754Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 59, in testPartExecutor
2025-12-04T09:42:42.6797211Z     yield
2025-12-04T09:42:42.6797556Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 591, in run
2025-12-04T09:42:42.6797983Z     self._callTestMethod(testMethod)
2025-12-04T09:42:42.6798463Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 549, in _callTestMethod
2025-12-04T09:42:42.6798910Z     method()
2025-12-04T09:42:42.6799435Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper
2025-12-04T09:42:42.6800039Z     method(*args, **kwargs)
2025-12-04T09:42:42.6800449Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/mock.py", line 1379, in patched
2025-12-04T09:42:42.6800903Z     return func(*newargs, **newkeywargs)
2025-12-04T09:42:42.6801320Z   File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
2025-12-04T09:42:42.6801731Z     return func(*args, **kwds)
2025-12-04T09:42:42.6802195Z   File "/var/lib/jenkins/workspace/test/test_torch.py", line 6717, in test_index_add_correctness
2025-12-04T09:42:42.6802974Z     helper(dim, dtype, device, size, size)
2025-12-04T09:42:42.6803396Z   File "/var/lib/jenkins/workspace/test/test_torch.py", line 6708, in helper
2025-12-04T09:42:42.6803869Z     self.assertEqual(out, ref_out, atol=1e-2, rtol=1e-2)
2025-12-04T09:42:42.6804464Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual
2025-12-04T09:42:42.6805051Z     return super().assertEqual(x, y, *args, **kwargs)
2025-12-04T09:42:42.6805886Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T09:42:42.6806561Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T09:42:42.6806941Z AssertionError: Tensor-likes are not close!
2025-12-04T09:42:42.6807162Z 
2025-12-04T09:42:42.6807264Z Mismatched elements: 1 / 327680 (0.0%)
2025-12-04T09:42:42.6807685Z Greatest absolute difference: 0.03125 at index (3, 230, 192) (up to 0.01 allowed)
2025-12-04T09:42:42.6808264Z Greatest relative difference: 0.015380859375 at index (3, 230, 192) (up to 0.01 allowed)
2025-12-04T09:42:42.6808617Z 
2025-12-04T09:42:42.6808790Z To execute this test, run the following from the base repo dir:
2025-12-04T09:42:42.6809339Z     PYTORCH_TEST_WITH_INDUCTOR=1 python test/test_torch.py TestTorch.test_index_add_correctness
2025-12-04T09:42:42.6809715Z 
2025-12-04T09:42:42.6809938Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T09:42:42.6810429Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.6810804Z frames [('total', 57), ('ok', 54)]
2025-12-04T09:42:42.6814441Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.6819974Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.6822059Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.6833521Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.6834853Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.6835472Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.6836011Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.6836379Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.6839883Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.6845455Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.6847608Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.6848088Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.6849389Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.6850710Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.6851265Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.6851638Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.6855317Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.6861053Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.6863109Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.6863586Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.6864890Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.6866504Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.6867046Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.6867427Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.6870980Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.6876379Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.6878446Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.6878940Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.6880237Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.6881537Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.6882085Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.6882466Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.6886412Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.6891977Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.6894038Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.6894522Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.6896119Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.6897589Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.6898138Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.6898512Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.6901993Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.6907855Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.6909920Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.6910392Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.6911678Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.6912990Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.6913554Z _____________________ TestTorch.test_index_add_correctness _____________________
2025-12-04T09:42:42.6913949Z Traceback (most recent call last):
2025-12-04T09:42:42.6914566Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 59, in testPartExecutor
2025-12-04T09:42:42.6915023Z     yield
2025-12-04T09:42:42.6915361Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 591, in run
2025-12-04T09:42:42.6915793Z     self._callTestMethod(testMethod)
2025-12-04T09:42:42.6916264Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 549, in _callTestMethod
2025-12-04T09:42:42.6916715Z     method()
2025-12-04T09:42:42.6917220Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper
2025-12-04T09:42:42.6917816Z     method(*args, **kwargs)
2025-12-04T09:42:42.6918222Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/mock.py", line 1379, in patched
2025-12-04T09:42:42.6918673Z     return func(*newargs, **newkeywargs)
2025-12-04T09:42:42.6919082Z   File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
2025-12-04T09:42:42.6919509Z     return func(*args, **kwds)
2025-12-04T09:42:42.6919974Z   File "/var/lib/jenkins/workspace/test/test_torch.py", line 6717, in test_index_add_correctness
2025-12-04T09:42:42.6920466Z     helper(dim, dtype, device, size, size)
2025-12-04T09:42:42.6921009Z   File "/var/lib/jenkins/workspace/test/test_torch.py", line 6708, in helper
2025-12-04T09:42:42.6921493Z     self.assertEqual(out, ref_out, atol=1e-2, rtol=1e-2)
2025-12-04T09:42:42.6922095Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual
2025-12-04T09:42:42.6922674Z     return super().assertEqual(x, y, *args, **kwargs)
2025-12-04T09:42:42.6923315Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T09:42:42.6923990Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T09:42:42.6924374Z AssertionError: Tensor-likes are not close!
2025-12-04T09:42:42.6924594Z 
2025-12-04T09:42:42.6924702Z Mismatched elements: 1 / 327680 (0.0%)
2025-12-04T09:42:42.6925128Z Greatest absolute difference: 0.03125 at index (1, 17, 168) (up to 0.01 allowed)
2025-12-04T09:42:42.6925754Z Greatest relative difference: 0.01495361328125 at index (1, 17, 168) (up to 0.01 allowed)
2025-12-04T09:42:42.6926107Z 
2025-12-04T09:42:42.6926287Z To execute this test, run the following from the base repo dir:
2025-12-04T09:42:42.6926839Z     PYTORCH_TEST_WITH_INDUCTOR=1 python test/test_torch.py TestTorch.test_index_add_correctness
2025-12-04T09:42:42.6927212Z 
2025-12-04T09:42:42.6927433Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T09:42:42.6927922Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.6928288Z frames [('total', 57), ('ok', 54)]
2025-12-04T09:42:42.6931807Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.6937272Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.6939457Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.6940644Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.6941933Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.6942546Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.6943084Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.6943452Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.6947126Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.6952522Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.6954575Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.6955097Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.6956389Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.6957684Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.6958224Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.6958592Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.6962077Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.6967712Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.6969788Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.6970259Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.6971542Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.6972848Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.6973391Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.6973761Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.6977304Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.6982715Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.6984782Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.6985295Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.6986676Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.6987979Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.6988513Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.6988881Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.6992442Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.6997907Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.6999979Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.7000447Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.7001735Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.7003309Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.7003854Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.7004217Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.7007703Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.7013239Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.7015308Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.7015778Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.7017212Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.7018523Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.7019069Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.7019438Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.7022921Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.7028395Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.7030471Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.7030935Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.7032223Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.7033528Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.7034086Z _____________________ TestTorch.test_index_add_correctness _____________________
2025-12-04T09:42:42.7034566Z Traceback (most recent call last):
2025-12-04T09:42:42.7035016Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 59, in testPartExecutor
2025-12-04T09:42:42.7035456Z     yield
2025-12-04T09:42:42.7035792Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 591, in run
2025-12-04T09:42:42.7036203Z     self._callTestMethod(testMethod)
2025-12-04T09:42:42.7036650Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 549, in _callTestMethod
2025-12-04T09:42:42.7037084Z     method()
2025-12-04T09:42:42.7037589Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper
2025-12-04T09:42:42.7038166Z     method(*args, **kwargs)
2025-12-04T09:42:42.7038560Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/mock.py", line 1379, in patched
2025-12-04T09:42:42.7038999Z     return func(*newargs, **newkeywargs)
2025-12-04T09:42:42.7039408Z   File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
2025-12-04T09:42:42.7039807Z     return func(*args, **kwds)
2025-12-04T09:42:42.7040254Z   File "/var/lib/jenkins/workspace/test/test_torch.py", line 6717, in test_index_add_correctness
2025-12-04T09:42:42.7040822Z     helper(dim, dtype, device, size, size)
2025-12-04T09:42:42.7041239Z   File "/var/lib/jenkins/workspace/test/test_torch.py", line 6708, in helper
2025-12-04T09:42:42.7041698Z     self.assertEqual(out, ref_out, atol=1e-2, rtol=1e-2)
2025-12-04T09:42:42.7042284Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual
2025-12-04T09:42:42.7042858Z     return super().assertEqual(x, y, *args, **kwargs)
2025-12-04T09:42:42.7043487Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T09:42:42.7044150Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T09:42:42.7044527Z AssertionError: Tensor-likes are not close!
2025-12-04T09:42:42.7044741Z 
2025-12-04T09:42:42.7044855Z Mismatched elements: 1 / 327680 (0.0%)
2025-12-04T09:42:42.7045300Z Greatest absolute difference: 0.03125 at index (1, 17, 168) (up to 0.01 allowed)
2025-12-04T09:42:42.7045862Z Greatest relative difference: 0.01513671875 at index (1, 17, 168) (up to 0.01 allowed)
2025-12-04T09:42:42.7046196Z 
2025-12-04T09:42:42.7046366Z To execute this test, run the following from the base repo dir:
2025-12-04T09:42:42.7046901Z     PYTORCH_TEST_WITH_INDUCTOR=1 python test/test_torch.py TestTorch.test_index_add_correctness
2025-12-04T09:42:42.7047273Z 
2025-12-04T09:42:42.7047485Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T09:42:42.7047960Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.7048324Z frames [('total', 57), ('ok', 54)]
2025-12-04T09:42:42.7051824Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.7057284Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.7059431Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.7060608Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.7061879Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.7062478Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.7063078Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.7063436Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.7066969Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.7072369Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.7074433Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.7074895Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.7076236Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.7077535Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.7078069Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.7078425Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.7081899Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.7087507Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.7089565Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.7090030Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.7091307Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.7092612Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.7093150Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.7093512Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.7096993Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.7102603Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.7104795Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.7105302Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.7106592Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.7107898Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.7108426Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.7108783Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.7112397Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.7117866Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.7119928Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.7120397Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.7121680Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.7122977Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.7123511Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.7123869Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.7127354Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.7132828Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.7134884Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.7135358Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.7136712Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.7138013Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.7138546Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.7138905Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.7142379Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.7147929Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.7149989Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.7150447Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.7151722Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.7153017Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.7153635Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.7153988Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.7157519Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.7162984Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.7165042Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.7165504Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
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2025-12-04T09:42:42.7168107Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.7168635Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.7169002Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.7172482Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.7177918Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.7180057Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.7180522Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.7181804Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.7183098Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.7183634Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.7183993Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.7187637Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.7193040Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.7195093Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.7195562Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
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2025-12-04T09:42:42.7198142Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.7198671Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.7199029Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.7202736Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.7208278Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.7210441Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.7210904Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.7212182Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.7213483Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.7214031Z _____________________ TestTorch.test_index_add_correctness _____________________
2025-12-04T09:42:42.7214423Z Traceback (most recent call last):
2025-12-04T09:42:42.7214877Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 59, in testPartExecutor
2025-12-04T09:42:42.7215319Z     yield
2025-12-04T09:42:42.7215654Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 591, in run
2025-12-04T09:42:42.7216070Z     self._callTestMethod(testMethod)
2025-12-04T09:42:42.7216522Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 549, in _callTestMethod
2025-12-04T09:42:42.7216959Z     method()
2025-12-04T09:42:42.7217463Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper
2025-12-04T09:42:42.7218035Z     method(*args, **kwargs)
2025-12-04T09:42:42.7218428Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/mock.py", line 1379, in patched
2025-12-04T09:42:42.7218871Z     return func(*newargs, **newkeywargs)
2025-12-04T09:42:42.7219277Z   File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
2025-12-04T09:42:42.7219683Z     return func(*args, **kwds)
2025-12-04T09:42:42.7220130Z   File "/var/lib/jenkins/workspace/test/test_torch.py", line 6717, in test_index_add_correctness
2025-12-04T09:42:42.7220619Z     helper(dim, dtype, device, size, size)
2025-12-04T09:42:42.7221031Z   File "/var/lib/jenkins/workspace/test/test_torch.py", line 6708, in helper
2025-12-04T09:42:42.7221492Z     self.assertEqual(out, ref_out, atol=1e-2, rtol=1e-2)
2025-12-04T09:42:42.7222080Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual
2025-12-04T09:42:42.7222650Z     return super().assertEqual(x, y, *args, **kwargs)
2025-12-04T09:42:42.7223279Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T09:42:42.7223951Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T09:42:42.7224414Z AssertionError: Tensor-likes are not close!
2025-12-04T09:42:42.7224628Z 
2025-12-04T09:42:42.7224727Z Mismatched elements: 1 / 327680 (0.0%)
2025-12-04T09:42:42.7225196Z Greatest absolute difference: 0.03125 at index (3, 230, 192) (up to 0.01 allowed)
2025-12-04T09:42:42.7225804Z Greatest relative difference: 0.015380859375 at index (3, 230, 192) (up to 0.01 allowed)
2025-12-04T09:42:42.7226149Z 
2025-12-04T09:42:42.7226321Z To execute this test, run the following from the base repo dir:
2025-12-04T09:42:42.7226856Z     PYTORCH_TEST_WITH_INDUCTOR=1 python test/test_torch.py TestTorch.test_index_add_correctness
2025-12-04T09:42:42.7227225Z 
2025-12-04T09:42:42.7227442Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T09:42:42.7227921Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.7228282Z frames [('total', 57), ('ok', 54)]
2025-12-04T09:42:42.7231864Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.7237317Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.7239377Z stats [('calls_captured', 23), ('unique_graphs', 3)]
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2025-12-04T09:42:42.7241824Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.7242428Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.7242960Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.7243322Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.7246849Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.7252410Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.7254465Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.7254926Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.7256279Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.7257574Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.7258105Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.7258464Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.7261947Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.7267439Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.7269495Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.7269956Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.7271231Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.7272620Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.7273154Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.7273515Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.7277127Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.7282521Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.7284576Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.7285036Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.7286317Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.7287614Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.7288144Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.7288498Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.7291977Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.7297424Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.7299590Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.7300054Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.7301331Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.7302977Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.7303514Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.7303870Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.7307610Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.7313057Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.7315133Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.7315600Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.7316891Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.7318195Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.7318721Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.7319080Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.7322576Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.7328178Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.7330256Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.7330721Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.7332012Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.7333317Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.7333860Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.7334222Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.7337772Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.7343205Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.7345382Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.7345855Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.7347236Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.7348552Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.7349089Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.7349449Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.7353042Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.7364887Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.7366985Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.7367454Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.7368953Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.7370258Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.7370801Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.7371168Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.7374650Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.7380151Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.7382198Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.7382652Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.7384034Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.7385407Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.7385936Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.7386293Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.7389753Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.7395131Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.7397177Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.7397630Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.7398905Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.7400199Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.7400724Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.7401168Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.7404874Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.7410431Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.7412484Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.7412939Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.7414212Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.7415537Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.7416084Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.7416433Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.7419889Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.7425300Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.7427466Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.7427928Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.7429200Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.7430487Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.7431012Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.7431367Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.7434925Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.7440349Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.7442412Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.7442870Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.7444149Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.7445479Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.7446035Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.7446394Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.7449880Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.7455392Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.7457483Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.7458012Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.7459296Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.7460603Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.7461130Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.7461477Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.7465015Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.7470489Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.7472544Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.7473003Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.7474279Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.7475668Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.7476199Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.7476548Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.7480140Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.7485617Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.7487685Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.7488146Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.7489433Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.7490733Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.7491255Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.7491605Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.7495094Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.7500561Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.7502835Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.7503293Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.7504576Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.7505912Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.7506562Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.7506922Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.7510410Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.7515854Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.7517926Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.7518403Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.7519692Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.7521009Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.7521550Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.7521918Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.7525433Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.7531060Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.7533126Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.7533583Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.7534862Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.7536212Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.7536740Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.7537095Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.7540585Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.7546031Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.7548080Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.7548623Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.7549905Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.7551205Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.7551735Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.7552087Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.7555648Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.7561062Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.7563122Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.7563581Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.7564948Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.7566547Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.7567073Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.7567420Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.7570908Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.7576670Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.7578725Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.7579193Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.7580548Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.7581847Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.7582376Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.7582730Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.7586269Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.7591693Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.7593752Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.7594208Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.7595510Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.7596836Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.7597479Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.7597834Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.7601326Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.7607122Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.7609186Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.7609645Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.7610940Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.7612235Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.7612767Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.7613120Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.7616632Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.7622073Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.7624276Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.7624736Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.7626114Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.7627420Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.7627949Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.7628310Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.7631989Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.7637475Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.7639543Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.7639997Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.7641295Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.7642601Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.7643130Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.7643482Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.7646993Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.7652491Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.7654638Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.7655099Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.7656438Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.7657740Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.7658281Z _____________________ TestTorch.test_index_add_correctness _____________________
2025-12-04T09:42:42.7658663Z Traceback (most recent call last):
2025-12-04T09:42:42.7659116Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 59, in testPartExecutor
2025-12-04T09:42:42.7659556Z     yield
2025-12-04T09:42:42.7659882Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 591, in run
2025-12-04T09:42:42.7660298Z     self._callTestMethod(testMethod)
2025-12-04T09:42:42.7660747Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 549, in _callTestMethod
2025-12-04T09:42:42.7661173Z     method()
2025-12-04T09:42:42.7661678Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper
2025-12-04T09:42:42.7662255Z     method(*args, **kwargs)
2025-12-04T09:42:42.7662644Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/mock.py", line 1379, in patched
2025-12-04T09:42:42.7663073Z     return func(*newargs, **newkeywargs)
2025-12-04T09:42:42.7663474Z   File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
2025-12-04T09:42:42.7663879Z     return func(*args, **kwds)
2025-12-04T09:42:42.7664324Z   File "/var/lib/jenkins/workspace/test/test_torch.py", line 6717, in test_index_add_correctness
2025-12-04T09:42:42.7664815Z     helper(dim, dtype, device, size, size)
2025-12-04T09:42:42.7665279Z   File "/var/lib/jenkins/workspace/test/test_torch.py", line 6708, in helper
2025-12-04T09:42:42.7665788Z     self.assertEqual(out, ref_out, atol=1e-2, rtol=1e-2)
2025-12-04T09:42:42.7666366Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual
2025-12-04T09:42:42.7666939Z     return super().assertEqual(x, y, *args, **kwargs)
2025-12-04T09:42:42.7667564Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T09:42:42.7668219Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T09:42:42.7668722Z AssertionError: Tensor-likes are not close!
2025-12-04T09:42:42.7668933Z 
2025-12-04T09:42:42.7669027Z Mismatched elements: 1 / 327680 (0.0%)
2025-12-04T09:42:42.7669435Z Greatest absolute difference: 0.03125 at index (1, 17, 168) (up to 0.01 allowed)
2025-12-04T09:42:42.7670000Z Greatest relative difference: 0.01495361328125 at index (1, 17, 168) (up to 0.01 allowed)
2025-12-04T09:42:42.7670353Z 
2025-12-04T09:42:42.7670522Z To execute this test, run the following from the base repo dir:
2025-12-04T09:42:42.7671051Z     PYTORCH_TEST_WITH_INDUCTOR=1 python test/test_torch.py TestTorch.test_index_add_correctness
2025-12-04T09:42:42.7671420Z 
2025-12-04T09:42:42.7671629Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T09:42:42.7672098Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.7672450Z frames [('total', 57), ('ok', 54)]
2025-12-04T09:42:42.7676035Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.7681466Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.7683530Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.7684697Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.7686017Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.7686619Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.7687153Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.7687501Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.7690998Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.7696544Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.7698604Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.7699060Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.7700413Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.7701714Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.7702376Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.7702737Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.7706274Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.7711713Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.7713777Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.7714230Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.7715511Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.7716936Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.7717471Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.7717830Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.7721774Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.7727217Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.7729285Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.7729749Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.7731052Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.7732354Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.7732882Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.7733242Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.7736746Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.7742169Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.7744329Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.7744891Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.7746597Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.7747903Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.7748441Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.7748807Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.7752451Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.7758325Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.7760392Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.7760858Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.7762144Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.7763447Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.7763983Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.7764345Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.7767835Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.7773402Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.7775638Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.7776207Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.7777570Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.7778869Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.7779398Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.7779751Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.7783250Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.7788766Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.7790822Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.7791279Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.7792655Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.7793956Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.7794482Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.7794829Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.7798394Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.7803978Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.7806507Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.7807009Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.7808295Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.7809595Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.7810117Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.7810471Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.7813965Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.7819935Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.7821988Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.7822444Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.7823837Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.7825183Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.7825713Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.7826074Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.7829573Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.7835005Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.7837069Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.7837527Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.7838805Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.7840109Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.7840635Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.7841080Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.7844575Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.7850156Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.7852217Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.7852671Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.7853953Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.7855265Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.7855823Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.7856190Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.7859689Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.7865143Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.7867292Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.7867753Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.7869031Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.7870327Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.7870853Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.7871203Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.7874770Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.7880197Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.7882257Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.7882719Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.7884002Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.7885316Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.7885894Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.7886251Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.7889747Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.7895302Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.7897369Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.7897901Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.7899181Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.7900485Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.7901018Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.7901375Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.7905011Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.7910489Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.7919698Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.7920199Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.7921473Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.7922928Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.7923461Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.7923812Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.7927399Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.7932782Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.7934830Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.7935286Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.7936608Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.7937897Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.7938431Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.7938787Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.7942255Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.7947767Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.7949901Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.7950358Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.7951627Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.7952928Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.7953457Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.7953892Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.7957361Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.7962727Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.7964777Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.7965235Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.7966562Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.7967848Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.7968374Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.7968730Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.7972197Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.7977777Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.7979831Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.7980298Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.7981569Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.7982864Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.7983393Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.7983746Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.7987255Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.7992622Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.7994666Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.7995212Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.7996483Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.7997770Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.7998291Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.7998640Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.8002200Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.8007739Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.8009782Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.8010233Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.8011505Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.8012798Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.8013323Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.8013671Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.8017133Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.8022648Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.8024693Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.8025241Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.8026731Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.8028032Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.8028553Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.8028913Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.8032376Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.8037819Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.8039877Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.8040343Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.8041620Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.8042909Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.8043516Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.8043866Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.8047331Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.8052796Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.8054842Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.8055350Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.8056628Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.8057923Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.8058446Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.8058796Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.8062262Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.8067733Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.8069881Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.8070340Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.8071616Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.8072914Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.8073441Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.8073806Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.8077399Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.8082801Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.8084852Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.8085309Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.8086638Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.8087947Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.8088470Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.8088820Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.8092287Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.8097832Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.8099965Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.8100430Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.8101702Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.8103246Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.8103779Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.8104153Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.8107735Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.8113152Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.8115223Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.8115691Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.8116981Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.8118414Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.8118968Z _____________________ TestTorch.test_index_add_correctness _____________________
2025-12-04T09:42:42.8119355Z Traceback (most recent call last):
2025-12-04T09:42:42.8119827Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 59, in testPartExecutor
2025-12-04T09:42:42.8120268Z     yield
2025-12-04T09:42:42.8120602Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 591, in run
2025-12-04T09:42:42.8121022Z     self._callTestMethod(testMethod)
2025-12-04T09:42:42.8121472Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 549, in _callTestMethod
2025-12-04T09:42:42.8121916Z     method()
2025-12-04T09:42:42.8122426Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper
2025-12-04T09:42:42.8123002Z     method(*args, **kwargs)
2025-12-04T09:42:42.8123506Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/mock.py", line 1379, in patched
2025-12-04T09:42:42.8123949Z     return func(*newargs, **newkeywargs)
2025-12-04T09:42:42.8124359Z   File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
2025-12-04T09:42:42.8124760Z     return func(*args, **kwds)
2025-12-04T09:42:42.8125217Z   File "/var/lib/jenkins/workspace/test/test_torch.py", line 6717, in test_index_add_correctness
2025-12-04T09:42:42.8125708Z     helper(dim, dtype, device, size, size)
2025-12-04T09:42:42.8126117Z   File "/var/lib/jenkins/workspace/test/test_torch.py", line 6708, in helper
2025-12-04T09:42:42.8126587Z     self.assertEqual(out, ref_out, atol=1e-2, rtol=1e-2)
2025-12-04T09:42:42.8127185Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual
2025-12-04T09:42:42.8127771Z     return super().assertEqual(x, y, *args, **kwargs)
2025-12-04T09:42:42.8128402Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T09:42:42.8129062Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T09:42:42.8129439Z AssertionError: Tensor-likes are not close!
2025-12-04T09:42:42.8129645Z 
2025-12-04T09:42:42.8129742Z Mismatched elements: 1 / 327680 (0.0%)
2025-12-04T09:42:42.8130147Z Greatest absolute difference: 0.03125 at index (4, 231, 225) (up to 0.01 allowed)
2025-12-04T09:42:42.8130713Z Greatest relative difference: 0.01495361328125 at index (4, 231, 225) (up to 0.01 allowed)
2025-12-04T09:42:42.8131063Z 
2025-12-04T09:42:42.8131238Z To execute this test, run the following from the base repo dir:
2025-12-04T09:42:42.8131761Z     PYTORCH_TEST_WITH_INDUCTOR=1 python test/test_torch.py TestTorch.test_index_add_correctness
2025-12-04T09:42:42.8132143Z 
2025-12-04T09:42:42.8132350Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T09:42:42.8132824Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.8133183Z frames [('total', 57), ('ok', 54)]
2025-12-04T09:42:42.8136663Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.8142134Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.8144192Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.8145505Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.8146782Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.8147381Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.8147912Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.8148259Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.8151741Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.8157157Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.8159222Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.8159682Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.8160962Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.8162349Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.8162871Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.8163219Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.8166777Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.8172172Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.8174228Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.8174693Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.8176030Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.8177328Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.8177851Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.8178207Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.8181688Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.8187188Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.8189357Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.8189815Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.8191090Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.8192384Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.8192922Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.8193272Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.8196825Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.8202224Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.8204460Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.8204939Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.8206254Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.8207542Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.8208062Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.8208410Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.8211866Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.8217542Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.8219603Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.8220060Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.8221339Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.8222625Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.8223156Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.8223506Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.8227017Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.8232401Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.8234450Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.8234903Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.8236316Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.8237611Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.8238140Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.8238490Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.8242029Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.8247466Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.8249523Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.8249978Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.8251257Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.8252551Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.8253075Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.8253428Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.8256900Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.8262380Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.8264430Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.8264884Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.8266202Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.8267607Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.8268133Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.8268479Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.8271949Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.8277337Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.8279402Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.8279861Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.8281139Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.8282437Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.8282957Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.8283391Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.8286919Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.8292388Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.8294443Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.8294902Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.8296226Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.8297523Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.8298047Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.8298396Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.8301860Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.8307424Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.8309602Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.8310063Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.8311334Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.8312626Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.8313154Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.8313507Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.8317086Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.8322482Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.8324531Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.8324984Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.8326308Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.8327608Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.8328140Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.8328486Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.8331957Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.8337478Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.8339546Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.8340084Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.8341359Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.8342652Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.8343174Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.8343524Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.8347094Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.8352506Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.8354565Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.8355024Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.8356298Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.8357674Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.8358201Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.8358552Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.8362126Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.8367577Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.8369634Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.8370090Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.8371369Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.8372661Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.8373188Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.8373542Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.8377060Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.8382449Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.8384589Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.8385127Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.8386400Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.8387696Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.8388225Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.8388665Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.8392135Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.8397529Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.8399580Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.8400038Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.8401321Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.8402761Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.8403294Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.8403645Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.8407115Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.8412820Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.8414891Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.8415351Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.8416632Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.8417937Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.8418459Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.8418812Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.8422293Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.8427747Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.8429813Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.8430365Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.8431652Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.8432945Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.8433476Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.8433833Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.8437378Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.8442783Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.8444849Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.8445313Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.8446581Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.8447879Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.8448424Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.8448781Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.8452266Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.8457773Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.8459830Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.8460286Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.8461641Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.8462940Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.8463465Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.8463821Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.8467348Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.8472761Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.8474848Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.8475334Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.8476610Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.8477912Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.8478529Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.8478885Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.8482378Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.8487853Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.8489915Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.8490380Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.8491668Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.8492962Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.8493485Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.8493835Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.8497310Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.8502838Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.8521717Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.8522407Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.8523765Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.8525084Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.8525629Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.8525995Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.8529729Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.8535188Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.8537254Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.8537728Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.8539028Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.8540350Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.8540888Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.8541260Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.8544758Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.8550320Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.8552389Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.8552961Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.8554245Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.8555543Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.8556083Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.8556449Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.8559949Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.8565670Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.8568013Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.8568481Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.8569757Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.8571158Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.8571701Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.8572068Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.8576008Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.8581497Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.8583563Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.8584033Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.8585379Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.8586681Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.8587217Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.8587574Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.8591069Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.8596577Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.8598637Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.8599110Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.8600394Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.8601708Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.8602631Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.8602999Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.8607042Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.8612463Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.8614625Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.8615221Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.8616780Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.8618098Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.8618637Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.8619010Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.8622716Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.8628503Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.8630646Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.8631254Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.8632560Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.8633861Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.8634442Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.8634895Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.8638828Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.8644251Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.8646866Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.8647340Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.8648631Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.8649940Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.8650483Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.8650847Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.8654410Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.8659843Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.8661917Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.8662378Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.8663666Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.8665224Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.8665896Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.8666352Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.8669994Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.8675731Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.8678032Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.8678493Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.8679861Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.8681186Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.8681726Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.8682096Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.8685653Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.8691068Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.8693142Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.8693616Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.8695059Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.8696788Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.8697393Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.8697755Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.8701241Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.8707602Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.8709680Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.8710158Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.8711449Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.8712758Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.8713319Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.8713694Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.8717195Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.8722660Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.8725033Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.8725628Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.8727217Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.8728527Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.8729112Z _____________________ TestTorch.test_index_add_correctness _____________________
2025-12-04T09:42:42.8729512Z Traceback (most recent call last):
2025-12-04T09:42:42.8730073Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 59, in testPartExecutor
2025-12-04T09:42:42.8730542Z     yield
2025-12-04T09:42:42.8730893Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 591, in run
2025-12-04T09:42:42.8731321Z     self._callTestMethod(testMethod)
2025-12-04T09:42:42.8731799Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 549, in _callTestMethod
2025-12-04T09:42:42.8732251Z     method()
2025-12-04T09:42:42.8732763Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper
2025-12-04T09:42:42.8733351Z     method(*args, **kwargs)
2025-12-04T09:42:42.8733757Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/mock.py", line 1379, in patched
2025-12-04T09:42:42.8734230Z     return func(*newargs, **newkeywargs)
2025-12-04T09:42:42.8734747Z   File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
2025-12-04T09:42:42.8735266Z     return func(*args, **kwds)
2025-12-04T09:42:42.8735860Z   File "/var/lib/jenkins/workspace/test/test_torch.py", line 6717, in test_index_add_correctness
2025-12-04T09:42:42.8736472Z     helper(dim, dtype, device, size, size)
2025-12-04T09:42:42.8736970Z   File "/var/lib/jenkins/workspace/test/test_torch.py", line 6708, in helper
2025-12-04T09:42:42.8737453Z     self.assertEqual(out, ref_out, atol=1e-2, rtol=1e-2)
2025-12-04T09:42:42.8738071Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual
2025-12-04T09:42:42.8738657Z     return super().assertEqual(x, y, *args, **kwargs)
2025-12-04T09:42:42.8739294Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T09:42:42.8739982Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T09:42:42.8740367Z AssertionError: Tensor-likes are not close!
2025-12-04T09:42:42.8740585Z 
2025-12-04T09:42:42.8740687Z Mismatched elements: 1 / 327680 (0.0%)
2025-12-04T09:42:42.8741123Z Greatest absolute difference: 0.03125 at index (4, 231, 225) (up to 0.01 allowed)
2025-12-04T09:42:42.8741713Z Greatest relative difference: 0.01495361328125 at index (4, 231, 225) (up to 0.01 allowed)
2025-12-04T09:42:42.8742075Z 
2025-12-04T09:42:42.8742250Z To execute this test, run the following from the base repo dir:
2025-12-04T09:42:42.8742805Z     PYTORCH_TEST_WITH_INDUCTOR=1 python test/test_torch.py TestTorch.test_index_add_correctness
2025-12-04T09:42:42.8743182Z 
2025-12-04T09:42:42.8743404Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T09:42:42.8743887Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.8744338Z frames [('total', 57), ('ok', 54)]
2025-12-04T09:42:42.8747880Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.8753378Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.8755745Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.8757199Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.8758492Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.8759107Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.8759637Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.8759997Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.8764077Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.8770073Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.8772259Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.8772904Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.8774204Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.8775521Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.8776062Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.8776435Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.8780045Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.8785879Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.8788204Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.8788687Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.8789984Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.8791302Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.8791853Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.8792228Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.8796090Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.8801737Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.8804180Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.8804654Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.8806098Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.8807424Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.8807961Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.8808336Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.8811840Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.8817361Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.8819451Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.8819938Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.8821233Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.8822665Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.8823216Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.8823581Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.8827648Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.8833103Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.8833243Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.8833499Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.8834450Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.8834737Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.8834917Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.8835012Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.8838330Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.8840201Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.8840412Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.8840664Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.8841611Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.8841883Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.8842068Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.8842237Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.8845896Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.8848001Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.8848137Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.8848383Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.8849343Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.8849611Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.8849798Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.8849888Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.8853208Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.8855232Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.8855388Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.8855634Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.8856647Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.8856928Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.8857114Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.8857202Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.8860527Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.8862394Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.8862538Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.8862867Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.8863821Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.8864092Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.8864269Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.8864372Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.8867840Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.8869714Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.8869861Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.8870103Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.8871050Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.8871322Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.8871498Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.8871599Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.8875054Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.8877406Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.8877541Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.8877788Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.8878832Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.8879114Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.8879282Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.8879372Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.8882682Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.8884567Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.8884735Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.8885037Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.8886222Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.8886540Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.8886795Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.8886886Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.8890207Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.8892172Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.8892301Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.8892548Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.8893499Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.8893767Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.8893945Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.8894034Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.8897354Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.8899224Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.8899436Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.8899679Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.8900628Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.8900889Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.8901067Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.8901160Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.8904964Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.8907299Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.8907435Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.8907678Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.8908635Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.8908905Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.8909078Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.8909162Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.8912469Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.8914484Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.8914628Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.8915109Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.8916296Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.8916625Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.8916834Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.8916931Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.8920248Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.8922112Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.8922249Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.8922494Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.8923436Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.8923801Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.8923970Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.8924066Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.8927446Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.8929321Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.8929459Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.8929710Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.8930666Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.8930944Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.8931115Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.8931207Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.8934581Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.8937002Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.8937158Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.8937411Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.8938359Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.8938649Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.8938909Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.8939002Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.8942320Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.8944199Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.8944334Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.8944591Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.8945605Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.8945877Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.8946065Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.8946157Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.8949533Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.8951556Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.8951707Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.8951960Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.8952918Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.8953194Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.8953388Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.8953481Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.8956810Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.8958676Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.8958928Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.8959169Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.8960130Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.8960395Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.8960566Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.8960673Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.8964063Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.8966329Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.8966509Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.8966812Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.8967837Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.8968103Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.8968275Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.8968381Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.8971692Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.8973638Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.8973772Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.8974025Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.8975212Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.8975549Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.8975761Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.8975879Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.8979394Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.8981265Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.8981401Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.8981649Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.8982591Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.8982863Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.8983111Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.8983197Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.8986559Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.8988503Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.8988637Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.8988888Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.8989843Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.8990121Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.8990289Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.8990377Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.8993696Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.8995610Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.8995817Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.8996055Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.8997008Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.8997270Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.8997450Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.8997535Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.9000945Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.9002953Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.9003092Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.9003332Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.9004287Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.9004548Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.9004721Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.9004807Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.9008163Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.9010167Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.9010415Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.9010660Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.9011612Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.9011876Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.9012048Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.9012150Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.9015464Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.9017332Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.9017473Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.9017715Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.9018744Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.9019013Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.9019183Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.9019276Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.9022658Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.9024521Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.9024666Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.9024907Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.9025936Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.9026204Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.9026375Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.9026474Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.9029776Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.9031725Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.9031857Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.9032101Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.9033045Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.9033403Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.9033578Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.9033668Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.9036978Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.9038848Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.9038981Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.9039229Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.9040176Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.9040439Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.9040616Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.9040710Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.9044109Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.9046135Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.9046271Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.9046512Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.9047463Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.9047736Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.9047917Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.9048008Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.9051317Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.9053176Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.9053392Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.9053636Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.9054582Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.9054853Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.9055057Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.9055161Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.9058571Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.9060442Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.9060580Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.9060820Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.9061772Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.9062038Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.9062213Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.9062309Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.9065669Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.9067623Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.9067765Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.9068009Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.9069033Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.9069304Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.9069476Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.9069571Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.9072881Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.9074755Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.9074894Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.9075133Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.9076127Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.9076473Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.9076644Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.9076745Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.9080152Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.9082017Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.9082152Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.9082400Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.9083353Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.9083618Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.9083790Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.9083878Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.9087242Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.9089111Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.9089356Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.9089603Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.9090547Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.9090816Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.9091013Z _____________________ TestTorch.test_index_add_correctness _____________________
2025-12-04T09:42:42.9091111Z Traceback (most recent call last):
2025-12-04T09:42:42.9091477Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 59, in testPartExecutor
2025-12-04T09:42:42.9091554Z     yield
2025-12-04T09:42:42.9091782Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 591, in run
2025-12-04T09:42:42.9091889Z     self._callTestMethod(testMethod)
2025-12-04T09:42:42.9092157Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 549, in _callTestMethod
2025-12-04T09:42:42.9092230Z     method()
2025-12-04T09:42:42.9092627Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper
2025-12-04T09:42:42.9092716Z     method(*args, **kwargs)
2025-12-04T09:42:42.9092964Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/mock.py", line 1379, in patched
2025-12-04T09:42:42.9093066Z     return func(*newargs, **newkeywargs)
2025-12-04T09:42:42.9093277Z   File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
2025-12-04T09:42:42.9093376Z     return func(*args, **kwds)
2025-12-04T09:42:42.9093664Z   File "/var/lib/jenkins/workspace/test/test_torch.py", line 6717, in test_index_add_correctness
2025-12-04T09:42:42.9093770Z     helper(dim, dtype, device, size, size)
2025-12-04T09:42:42.9093992Z   File "/var/lib/jenkins/workspace/test/test_torch.py", line 6708, in helper
2025-12-04T09:42:42.9094136Z     self.assertEqual(out, ref_out, atol=1e-2, rtol=1e-2)
2025-12-04T09:42:42.9094488Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual
2025-12-04T09:42:42.9094625Z     return super().assertEqual(x, y, *args, **kwargs)
2025-12-04T09:42:42.9095027Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T09:42:42.9095200Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T09:42:42.9095315Z AssertionError: Tensor-likes are not close!
2025-12-04T09:42:42.9095321Z 
2025-12-04T09:42:42.9095427Z Mismatched elements: 1 / 327680 (0.0%)
2025-12-04T09:42:42.9095679Z Greatest absolute difference: 0.03125 at index (1, 17, 168) (up to 0.01 allowed)
2025-12-04T09:42:42.9095952Z Greatest relative difference: 0.01495361328125 at index (1, 17, 168) (up to 0.01 allowed)
2025-12-04T09:42:42.9095957Z 
2025-12-04T09:42:42.9096131Z To execute this test, run the following from the base repo dir:
2025-12-04T09:42:42.9096402Z     PYTORCH_TEST_WITH_INDUCTOR=1 python test/test_torch.py TestTorch.test_index_add_correctness
2025-12-04T09:42:42.9096407Z 
2025-12-04T09:42:42.9096612Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T09:42:42.9096788Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.9097048Z frames [('total', 57), ('ok', 54)]
2025-12-04T09:42:42.9100385Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.9102582Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.9102723Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.9103672Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.9110150Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.9110559Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.9110810Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.9110945Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.9114319Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.9116230Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.9116542Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.9116792Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.9117735Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.9118012Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.9118187Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.9118284Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.9121653Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.9123507Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.9123639Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.9123884Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.9124818Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.9125129Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.9125318Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.9125407Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.9128695Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.9130615Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.9130755Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.9131074Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.9132012Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.9132271Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.9132444Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.9132533Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.9135843Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.9137706Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.9137840Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.9138076Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.9139013Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.9139399Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.9139575Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.9139665Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.9143021Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.9144861Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.9145000Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.9145314Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.9146250Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.9146513Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.9146684Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.9146777Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.9150049Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.9151975Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.9152111Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.9152348Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.9153280Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.9153549Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.9153989Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.9154085Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.9157414Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.9159260Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.9159398Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.9159633Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.9160569Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.9160832Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.9161002Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.9161097Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.9164368Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.9166416Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.9166552Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.9166799Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.9167733Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.9168004Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.9168173Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.9168266Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.9171545Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.9173390Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.9173604Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.9173846Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.9174786Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.9175049Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.9175225Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.9175316Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.9178702Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.9180552Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.9180687Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.9180926Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.9181865Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.9182128Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.9182301Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.9182391Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.9185720Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.9187633Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.9187768Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.9188011Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.9189033Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.9189294Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.9189467Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.9189556Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.9192834Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.9194678Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.9194815Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.9195052Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.9195994Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.9196253Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.9196500Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.9196594Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.9199873Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.9201807Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.9201943Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.9202182Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.9203302Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.9203575Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.9203749Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.9203843Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.9207169Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.9209012Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.9209263Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.9209503Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.9210438Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.9210704Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.9210877Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.9210978Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.9214359Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.9216266Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.9216400Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.9216637Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.9217583Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.9217850Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.9218020Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.9218112Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.9221392Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.9223320Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.9223554Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.9223795Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.9224728Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.9224987Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.9225207Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.9225302Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.9228591Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.9230436Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.9230568Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.9230804Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.9231743Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.9232091Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.9232266Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.9232357Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.9235771Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.9237613Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.9237757Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.9237996Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.9238938Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.9239198Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.9239370Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.9239466Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.9242749Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.9244669Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.9244807Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.9245041Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.9245978Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.9246318Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.9246490Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.9246588Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.9249873Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.9251720Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.9251859Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.9252102Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.9253035Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.9253306Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.9253475Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.9253573Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.9256935Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.9258859Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.9258994Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.9259241Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.9260181Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.9260460Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.9260641Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.9260735Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.9264411Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.9266378Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.9266640Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.9266894Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.9267828Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.9268096Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.9268269Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.9268361Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.9271724Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.9273575Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.9273706Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.9273952Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.9274898Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.9275168Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.9275355Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.9275470Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.9278786Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.9280708Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.9280844Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.9281080Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.9282102Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.9282368Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.9282544Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.9282633Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.9285927Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.9287767Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.9287906Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.9288148Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.9289093Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.9289512Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.9289689Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.9289783Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.9293137Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.9295165Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.9295336Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.9295631Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.9296816Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.9297137Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.9297308Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.9297404Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.9300680Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.9302807Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.9303070Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.9303313Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.9304256Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.9304569Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.9304782Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.9304901Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.9308740Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.9310598Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.9310728Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.9310980Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.9311924Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.9312198Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.9312366Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.9312461Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.9315761Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.9317799Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.9317936Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.9318188Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.9319133Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.9319398Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.9319571Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.9319661Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.9322971Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.9324935Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.9325097Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.9325397Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.9326676Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.9327005Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.9327215Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.9327305Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.9330684Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.9332553Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.9332692Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.9332938Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.9333884Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.9334147Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.9334328Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.9334417Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.9338185Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.9340111Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.9340250Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.9340489Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.9341521Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.9341785Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.9341959Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.9342048Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.9345404Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.9347251Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.9347394Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.9347631Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.9348578Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.9348840Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.9349009Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.9349189Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.9352483Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.9354473Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.9354649Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.9354953Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.9356130Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.9356476Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.9356688Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.9356808Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.9360173Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.9362026Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.9362233Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.9362480Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.9363415Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.9363679Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.9363848Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.9363945Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.9367790Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.9369647Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.9369777Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.9370018Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.9370955Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.9371237Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.9371404Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.9371496Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.9374804Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.9376726Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.9376860Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.9377181Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.9378122Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.9378380Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.9378553Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.9378643Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.9381948Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.9383805Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.9383939Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.9384177Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.9385177Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.9385526Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.9385731Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.9385832Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.9389223Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.9391074Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.9391216Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.9391452Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.9392403Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.9392664Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.9392836Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.9392925Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.9396712Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.9398589Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.9398803Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.9399043Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.9399985Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.9400253Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.9400528Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.9400628Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.9404194Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.9406057Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.9406205Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.9406451Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.9407393Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.9407660Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.9407827Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.9407923Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.9411217Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.9413305Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.9413444Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.9413687Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.9414627Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.9414895Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.9415068Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:42:42.9415159Z frames [('total', 54), ('ok', 51)]
2025-12-04T09:42:42.9418467Z unimplemented [('Attempt to trace generator\n  Explanation: Generators cannot be compiled directly with `torch.compile`.\n  Hint: Call a generator from inside of a non-generator Python function and compile that function instead.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n\n  Developer debug context: \n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0003.html', 2), ('Unsupported method call\n  Explanation: Dynamo does not know how to trace method `__add__` of class `type`\n  Hint: Avoid calling `type.__add__` in your code.\n  Hint: Please report an issue to PyTorch.\n\n  Developer debug context: call_method BuiltinVariable(tuple) __add__ [UserDefinedTupleVariable(_dispatch_dtypes), TupleVariable(length=2)] {}\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0156.html', 1)]
2025-12-04T09:42:42.9420314Z graph_break [('Data-dependent branching\n  Explanation: Detected data-dependent branching (e.g. `if my_tensor.sum() > 0:`). Dynamo does not support tracing dynamic control flow.\n  Hint: This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through your code. Consider finding a workaround.\n  Hint: Use `torch.cond` to express dynamic control flow.\n\n  Developer debug context: attempted to jump with TensorVariable()\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0170.html', 3)]
2025-12-04T09:42:42.9420534Z stats [('calls_captured', 23), ('unique_graphs', 3)]
2025-12-04T09:42:42.9420771Z aot_autograd [('total', 3), ('autograd_cache_miss', 3), ('autograd_cache_saved', 3), ('ok', 3)]
2025-12-04T09:42:42.9421718Z inductor [('triton_bundler_save_kernel', 64), ('extern_calls', 12), ('async_compile_cache_miss', 8), ('benchmarking.InductorBenchmarker.benchmark', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 8), ('async_compile_cache_hit', 4), ('fxgraph_cache_miss', 3), ('triton_bundler_save_static_autotuner', 1)]
2025-12-04T09:42:42.9421978Z resumes [('torch_dynamo_resume_in_helper_at_6711', 2), ('torch_dynamo_resume_in_helper_at_6708', 1)]
2025-12-04T09:42:42.9422414Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_torch/test_torch-c1a49d90b2c3156f.xml -
2025-12-04T09:42:42.9422556Z =========================== short test summary info ============================
2025-12-04T09:42:42.9422919Z FAILED [3.3811s] test_torch.py::TestTorch::test_index_add_correctness - AssertionError: Tensor-likes are not close!
2025-12-04T09:42:42.9422930Z 
2025-12-04T09:42:42.9423038Z Mismatched elements: 1 / 327680 (0.0%)
2025-12-04T09:42:42.9423265Z Greatest absolute difference: 0.03125 at index (4, 231, 225) (up to 0.01 allowed)
2025-12-04T09:42:42.9423604Z Greatest relative difference: 0.01495361328125 at index (4, 231, 225) (up to 0.01 allowed)
2025-12-04T09:42:42.9423609Z 
2025-12-04T09:42:42.9423783Z To execute this test, run the following from the base repo dir:
2025-12-04T09:42:42.9424052Z     PYTORCH_TEST_WITH_INDUCTOR=1 python test/test_torch.py TestTorch.test_index_add_correctness
2025-12-04T09:42:42.9424057Z 
2025-12-04T09:42:42.9424273Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T09:42:42.9424607Z FAILED [3.1779s] test_torch.py::TestTorch::test_index_add_correctness - AssertionError: Tensor-likes are not close!
2025-12-04T09:42:42.9424612Z 
2025-12-04T09:42:42.9424718Z Mismatched elements: 1 / 327680 (0.0%)
2025-12-04T09:42:42.9424938Z Greatest absolute difference: 0.03125 at index (3, 230, 192) (up to 0.01 allowed)
2025-12-04T09:42:42.9425259Z Greatest relative difference: 0.015380859375 at index (3, 230, 192) (up to 0.01 allowed)
2025-12-04T09:42:42.9425265Z 
2025-12-04T09:42:42.9425458Z To execute this test, run the following from the base repo dir:
2025-12-04T09:42:42.9425726Z     PYTORCH_TEST_WITH_INDUCTOR=1 python test/test_torch.py TestTorch.test_index_add_correctness
2025-12-04T09:42:42.9425730Z 
2025-12-04T09:42:42.9425940Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T09:42:42.9426272Z FAILED [3.4250s] test_torch.py::TestTorch::test_index_add_correctness - AssertionError: Tensor-likes are not close!
2025-12-04T09:42:42.9426276Z 
2025-12-04T09:42:42.9426373Z Mismatched elements: 1 / 327680 (0.0%)
2025-12-04T09:42:42.9426594Z Greatest absolute difference: 0.03125 at index (1, 17, 168) (up to 0.01 allowed)
2025-12-04T09:42:42.9426839Z Greatest relative difference: 0.01495361328125 at index (1, 17, 168) (up to 0.01 allowed)
2025-12-04T09:42:42.9426847Z 
2025-12-04T09:42:42.9427020Z To execute this test, run the following from the base repo dir:
2025-12-04T09:42:42.9427287Z     PYTORCH_TEST_WITH_INDUCTOR=1 python test/test_torch.py TestTorch.test_index_add_correctness
2025-12-04T09:42:42.9427292Z 
2025-12-04T09:42:42.9427503Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T09:42:42.9427836Z FAILED [3.1909s] test_torch.py::TestTorch::test_index_add_correctness - AssertionError: Tensor-likes are not close!
2025-12-04T09:42:42.9427841Z 
2025-12-04T09:42:42.9427937Z Mismatched elements: 1 / 327680 (0.0%)
2025-12-04T09:42:42.9428167Z Greatest absolute difference: 0.03125 at index (1, 17, 168) (up to 0.01 allowed)
2025-12-04T09:42:42.9428402Z Greatest relative difference: 0.01513671875 at index (1, 17, 168) (up to 0.01 allowed)
2025-12-04T09:42:42.9428406Z 
2025-12-04T09:42:42.9428573Z To execute this test, run the following from the base repo dir:
2025-12-04T09:42:42.9428930Z     PYTORCH_TEST_WITH_INDUCTOR=1 python test/test_torch.py TestTorch.test_index_add_correctness
2025-12-04T09:42:42.9428935Z 
2025-12-04T09:42:42.9429136Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T09:42:42.9429473Z FAILED [3.5270s] test_torch.py::TestTorch::test_index_add_correctness - AssertionError: Tensor-likes are not close!
2025-12-04T09:42:42.9429477Z 
2025-12-04T09:42:42.9429574Z Mismatched elements: 1 / 327680 (0.0%)
2025-12-04T09:42:42.9429794Z Greatest absolute difference: 0.03125 at index (3, 230, 192) (up to 0.01 allowed)
2025-12-04T09:42:42.9430039Z Greatest relative difference: 0.015380859375 at index (3, 230, 192) (up to 0.01 allowed)
2025-12-04T09:42:42.9430043Z 
2025-12-04T09:42:42.9430210Z To execute this test, run the following from the base repo dir:
2025-12-04T09:42:42.9430475Z     PYTORCH_TEST_WITH_INDUCTOR=1 python test/test_torch.py TestTorch.test_index_add_correctness
2025-12-04T09:42:42.9430484Z 
2025-12-04T09:42:42.9430686Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T09:42:42.9431025Z FAILED [3.2263s] test_torch.py::TestTorch::test_index_add_correctness - AssertionError: Tensor-likes are not close!
2025-12-04T09:42:42.9431029Z 
2025-12-04T09:42:42.9431132Z Mismatched elements: 1 / 327680 (0.0%)
2025-12-04T09:42:42.9431429Z Greatest absolute difference: 0.03125 at index (1, 17, 168) (up to 0.01 allowed)
2025-12-04T09:42:42.9431674Z Greatest relative difference: 0.01495361328125 at index (1, 17, 168) (up to 0.01 allowed)
2025-12-04T09:42:42.9431683Z 
2025-12-04T09:42:42.9431849Z To execute this test, run the following from the base repo dir:
2025-12-04T09:42:42.9432113Z     PYTORCH_TEST_WITH_INDUCTOR=1 python test/test_torch.py TestTorch.test_index_add_correctness
2025-12-04T09:42:42.9432118Z 
2025-12-04T09:42:42.9432325Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T09:42:42.9432655Z FAILED [3.0564s] test_torch.py::TestTorch::test_index_add_correctness - AssertionError: Tensor-likes are not close!
2025-12-04T09:42:42.9432664Z 
2025-12-04T09:42:42.9432771Z Mismatched elements: 1 / 327680 (0.0%)
2025-12-04T09:42:42.9432991Z Greatest absolute difference: 0.03125 at index (4, 231, 225) (up to 0.01 allowed)
2025-12-04T09:42:42.9433240Z Greatest relative difference: 0.01495361328125 at index (4, 231, 225) (up to 0.01 allowed)
2025-12-04T09:42:42.9433244Z 
2025-12-04T09:42:42.9433414Z To execute this test, run the following from the base repo dir:
2025-12-04T09:42:42.9433680Z     PYTORCH_TEST_WITH_INDUCTOR=1 python test/test_torch.py TestTorch.test_index_add_correctness
2025-12-04T09:42:42.9433684Z 
2025-12-04T09:42:42.9433886Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T09:42:42.9434220Z FAILED [3.0727s] test_torch.py::TestTorch::test_index_add_correctness - AssertionError: Tensor-likes are not close!
2025-12-04T09:42:42.9434224Z 
2025-12-04T09:42:42.9434319Z Mismatched elements: 1 / 327680 (0.0%)
2025-12-04T09:42:42.9434538Z Greatest absolute difference: 0.03125 at index (4, 231, 225) (up to 0.01 allowed)
2025-12-04T09:42:42.9434785Z Greatest relative difference: 0.01495361328125 at index (4, 231, 225) (up to 0.01 allowed)
2025-12-04T09:42:42.9434789Z 
2025-12-04T09:42:42.9434957Z To execute this test, run the following from the base repo dir:
2025-12-04T09:42:42.9435256Z     PYTORCH_TEST_WITH_INDUCTOR=1 python test/test_torch.py TestTorch.test_index_add_correctness
2025-12-04T09:42:42.9435260Z 
2025-12-04T09:42:42.9435485Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T09:42:42.9435823Z FAILED [3.1550s] test_torch.py::TestTorch::test_index_add_correctness - AssertionError: Tensor-likes are not close!
2025-12-04T09:42:42.9435827Z 
2025-12-04T09:42:42.9435921Z Mismatched elements: 1 / 327680 (0.0%)
2025-12-04T09:42:42.9436138Z Greatest absolute difference: 0.03125 at index (1, 17, 168) (up to 0.01 allowed)
2025-12-04T09:42:42.9436388Z Greatest relative difference: 0.01495361328125 at index (1, 17, 168) (up to 0.01 allowed)
2025-12-04T09:42:42.9436503Z 
2025-12-04T09:42:42.9436671Z To execute this test, run the following from the base repo dir:
2025-12-04T09:42:42.9436940Z     PYTORCH_TEST_WITH_INDUCTOR=1 python test/test_torch.py TestTorch.test_index_add_correctness
2025-12-04T09:42:42.9436944Z 
2025-12-04T09:42:42.9437150Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T09:42:42.9437319Z ============ 9 failed, 41 passed, 100 skipped in 180.53s (0:03:00) =============
2025-12-04T09:42:42.9437327Z 
2025-12-04T09:42:42.9437614Z FINISHED PRINTING LOG FILE of test_torch 1/2 (test/test-reports/test_torch_1.2_fe95c0897e3cbc0c_.log)
2025-12-04T09:42:42.9437619Z 
2025-12-04T09:42:42.9437820Z Finished test_torch 1/2 ... [2025-12-04 09:42:42.654072][1694.633842434], took 3.70min
2025-12-04T09:42:42.9438289Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_torch/test_torch-c1a49d90b2c3156f.xml
2025-12-04T09:42:43.2421825Z Uploading logs for 57118472355 to S3
2025-12-04T09:42:43.2810068Z Uploading artifacts took 0.38 seconds
2025-12-04T09:42:43.2810452Z test_torch 1/2 failed!
2025-12-04T09:42:43.2811269Z Running test_torch 2/2 ... [2025-12-04 09:42:43.280850][1695.260621625]
2025-12-04T09:42:43.2811889Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:42:43.2816128Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_torch.py', '--shard-id=2', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:42:43.281235]
2025-12-04T09:42:51.9025207Z 
2025-12-04T09:42:51.9026129Z test_torch 2/2 was successful, full logs can be found in artifacts with path test/test-reports/test_torch_2.2_8d88fcffea25df9f_.log
2025-12-04T09:42:51.9026732Z Running 0 items in this shard:
2025-12-04T09:42:51.9026915Z 
2025-12-04T09:42:51.9027137Z Finished test_torch 2/2 ... [2025-12-04 09:42:51.902335][1703.882109187], took 0.14min
2025-12-04T09:42:51.9033616Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_torch/test_torch-2080da41d6fcd319.xml
2025-12-04T09:42:51.9703410Z Running test_ops 2/13 ... [2025-12-04 09:42:51.969981][1703.949754579]
2025-12-04T09:42:51.9703792Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:42:51.9707486Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_ops.py', '-m', 'serial', '--shard-id=2', '--num-shards=13', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:42:51.970349]
2025-12-04T09:43:57.7939098Z 
2025-12-04T09:43:57.7939548Z test_ops 2/13 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_2.13_bcbf3675d2e3c615_.log
2025-12-04T09:43:57.7940127Z Running 0 items in this shard:
2025-12-04T09:43:57.7940303Z 
2025-12-04T09:43:57.7940507Z Finished test_ops 2/13 ... [2025-12-04 09:43:57.793612][1769.773386356], took 1.10min
2025-12-04T09:43:57.7948383Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops/test_ops-aff57493422ca2cf.xml
2025-12-04T09:43:57.8575024Z Running test_ops 6/13 ... [2025-12-04 09:43:57.857116][1769.836886698]
2025-12-04T09:43:57.8575412Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:43:57.8579413Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_ops.py', '-m', 'serial', '--shard-id=6', '--num-shards=13', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:43:57.857531]
2025-12-04T09:45:03.1017941Z 
2025-12-04T09:45:03.1018677Z test_ops 6/13 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_6.13_538ecf24eb890078_.log
2025-12-04T09:45:03.1019247Z Running 0 items in this shard:
2025-12-04T09:45:03.1020472Z 
2025-12-04T09:45:03.1020681Z Finished test_ops 6/13 ... [2025-12-04 09:45:03.101458][1835.081232718], took 1.09min
2025-12-04T09:45:03.1029588Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops/test_ops-2de59426907f74ec.xml
2025-12-04T09:45:03.1871913Z Running test_ops 7/13 ... [2025-12-04 09:45:03.186818][1835.166591731]
2025-12-04T09:45:03.1872304Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:45:03.1875737Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_ops.py', '-m', 'serial', '--shard-id=7', '--num-shards=13', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:45:03.187175]
2025-12-04T09:46:08.4431510Z 
2025-12-04T09:46:08.4432035Z test_ops 7/13 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_7.13_e9c2af9115027a58_.log
2025-12-04T09:46:08.4432645Z Running 0 items in this shard:
2025-12-04T09:46:08.4432819Z 
2025-12-04T09:46:08.4433026Z Finished test_ops 7/13 ... [2025-12-04 09:46:08.442551][1900.422320324], took 1.09min
2025-12-04T09:46:08.4442446Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops/test_ops-75cef70b530fde0f.xml
2025-12-04T09:46:08.7308389Z Running test_ops 8/13 ... [2025-12-04 09:46:08.730444][1900.710217342]
2025-12-04T09:46:08.7308794Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:46:08.7311915Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_ops.py', '-m', 'serial', '--shard-id=8', '--num-shards=13', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:46:08.730787]
2025-12-04T09:47:13.9982398Z 
2025-12-04T09:47:13.9983332Z test_ops 8/13 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_8.13_a23a1bef1dd50fd9_.log
2025-12-04T09:47:13.9983947Z Running 0 items in this shard:
2025-12-04T09:47:13.9984120Z 
2025-12-04T09:47:13.9984335Z Finished test_ops 8/13 ... [2025-12-04 09:47:13.997861][1965.977634994], took 1.09min
2025-12-04T09:47:13.9995257Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops/test_ops-5450cfe1071d845f.xml
2025-12-04T09:47:14.0617960Z Running test_ops 12/13 ... [2025-12-04 09:47:14.061411][1966.041185078]
2025-12-04T09:47:14.0618362Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:47:14.0621413Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_ops.py', '-m', 'serial', '--shard-id=12', '--num-shards=13', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:47:14.061746]
2025-12-04T09:48:19.2158265Z 
2025-12-04T09:48:19.2159237Z test_ops 12/13 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_12.13_14cf2578bc2efe83_.log
2025-12-04T09:48:19.2159878Z Running 0 items in this shard:
2025-12-04T09:48:19.2160055Z 
2025-12-04T09:48:19.2160281Z Finished test_ops 12/13 ... [2025-12-04 09:48:19.214911][2031.194685388], took 1.09min
2025-12-04T09:48:19.2167327Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops/test_ops-9c5e675410b13148.xml
2025-12-04T09:48:19.2943946Z Running test_ops 13/13 ... [2025-12-04 09:48:19.294042][2031.273816029]
2025-12-04T09:48:19.2944440Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:48:19.2947980Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_ops.py', '-m', 'serial', '--shard-id=13', '--num-shards=13', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:48:19.294384]
2025-12-04T09:49:24.8375317Z 
2025-12-04T09:49:24.8376425Z test_ops 13/13 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_13.13_7ce7a42fbca6610e_.log
2025-12-04T09:49:24.8377125Z Running 0 items in this shard:
2025-12-04T09:49:24.8377328Z 
2025-12-04T09:49:24.8377580Z Finished test_ops 13/13 ... [2025-12-04 09:49:24.837177][2096.816951492], took 1.09min
2025-12-04T09:49:24.8391304Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops/test_ops-2ab8ad2e6914e4e7.xml
2025-12-04T09:49:24.9508981Z Running test_ops_gradients 1/2 ... [2025-12-04 09:49:24.950561][2096.930334533]
2025-12-04T09:49:24.9509410Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:49:24.9513737Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_ops_gradients.py', '-m', 'serial', '--shard-id=1', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:49:24.950899]
2025-12-04T09:49:42.4043683Z 
2025-12-04T09:49:42.4044653Z test_ops_gradients 1/2 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_gradients_1.2_763c036718fb3e71_.log
2025-12-04T09:49:42.4045312Z Running 0 items in this shard:
2025-12-04T09:49:42.4045485Z 
2025-12-04T09:49:42.4046157Z Finished test_ops_gradients 1/2 ... [2025-12-04 09:49:42.403999][2114.383773446], took 0.29min
2025-12-04T09:49:42.4060625Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops_gradients/test_ops_gradients-9049800b8f92b541.xml
2025-12-04T09:49:43.0973828Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-12-04T09:49:43.0975865Z   import pynvml  # type: ignore[import]
2025-12-04T09:49:43.1175329Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-12-04T09:49:43.1177350Z   import pynvml  # type: ignore[import]
2025-12-04T09:49:43.1302021Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-12-04T09:49:43.1304406Z   import pynvml  # type: ignore[import]
2025-12-04T09:49:45.8275197Z Running test_ops 2/13 ... [2025-12-04 09:49:45.826879][2117.806650775]
2025-12-04T09:49:45.8275613Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:49:45.8278617Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_ops.py', '-m', 'not serial', '--shard-id=2', '--num-shards=13', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:49:45.827364]
2025-12-04T09:49:45.8315071Z Running test_ops 6/13 ... [2025-12-04 09:49:45.831141][2117.810912463]
2025-12-04T09:49:45.8315496Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:49:45.8319544Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_ops.py', '-m', 'not serial', '--shard-id=6', '--num-shards=13', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:49:45.831606]
2025-12-04T09:49:45.8577879Z Running test_ops 7/13 ... [2025-12-04 09:49:45.857143][2117.836915655]
2025-12-04T09:49:45.8578799Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:49:45.8582493Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_ops.py', '-m', 'not serial', '--shard-id=7', '--num-shards=13', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:49:45.857642]
2025-12-04T09:50:50.3493457Z 
2025-12-04T09:50:50.3494475Z test_ops 6/13 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_6.13_f8bafe494c9c0f7d_.log
2025-12-04T09:50:50.3495109Z Running 0 items in this shard:
2025-12-04T09:50:50.3495285Z 
2025-12-04T09:50:50.3496002Z Finished test_ops 6/13 ... [2025-12-04 09:50:50.349009][2182.328783004], took 1.08min
2025-12-04T09:50:50.3523633Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops/test_ops-42a6ad0ff8a7ae62.xml
2025-12-04T09:50:50.4248472Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops/test_ops-16e4f32ff95c4fb6.xml
2025-12-04T09:50:50.4529491Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops/test_ops-8509555d1b45f7e4.xml
2025-12-04T09:50:51.8282749Z 
2025-12-04T09:50:51.8283662Z test_ops 7/13 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_7.13_31e4ec08a8216f0b_.log
2025-12-04T09:50:51.8284769Z Running 0 items in this shard:
2025-12-04T09:50:51.8284969Z 
2025-12-04T09:50:51.8285177Z Finished test_ops 7/13 ... [2025-12-04 09:50:51.828016][2183.807789593], took 1.10min
2025-12-04T09:50:51.8641620Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-12-04T09:50:51.8642841Z   import pynvml  # type: ignore[import]
2025-12-04T09:50:53.2753687Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-12-04T09:50:53.2755076Z   import pynvml  # type: ignore[import]
2025-12-04T09:50:54.4750631Z Running test_ops 8/13 ... [2025-12-04 09:50:54.474528][2186.45429963]
2025-12-04T09:50:54.4751179Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:50:54.4754532Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_ops.py', '-m', 'not serial', '--shard-id=8', '--num-shards=13', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:50:54.475033]
2025-12-04T09:50:55.9155927Z Running test_ops 12/13 ... [2025-12-04 09:50:55.915056][2187.894828249]
2025-12-04T09:50:55.9156344Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:50:55.9159182Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_ops.py', '-m', 'not serial', '--shard-id=12', '--num-shards=13', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:50:55.915561]
2025-12-04T09:50:56.3489724Z 
2025-12-04T09:50:56.3490598Z test_ops 2/13 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_2.13_81223e19e01e6b0b_.log
2025-12-04T09:50:56.3512805Z Running 50 items in this shard: test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_conv1d_cuda_float32
2025-12-04T09:50:56.3534238Z 
2025-12-04T09:50:56.3534470Z Finished test_ops 2/13 ... [2025-12-04 09:50:56.348878][2188.328649917], took 1.18min
2025-12-04T09:50:57.7643736Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-12-04T09:50:57.7645824Z   import pynvml  # type: ignore[import]
2025-12-04T09:51:00.4386529Z Running test_ops 13/13 ... [2025-12-04 09:51:00.437972][2192.417743667]
2025-12-04T09:51:00.4387098Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:51:00.4389260Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_ops.py', '-m', 'not serial', '--shard-id=13', '--num-shards=13', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:51:00.438509]
2025-12-04T09:51:59.8006513Z 
2025-12-04T09:51:59.8007370Z test_ops 8/13 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_8.13_e20d5a38ba314c80_.log
2025-12-04T09:51:59.8009911Z Running 0 items in this shard:
2025-12-04T09:51:59.8010289Z 
2025-12-04T09:51:59.8010672Z Finished test_ops 8/13 ... [2025-12-04 09:51:59.800514][2251.780285851], took 1.09min
2025-12-04T09:51:59.8038877Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops/test_ops-8746eb2478bb7eeb.xml
2025-12-04T09:51:59.8714928Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops/test_ops-f74f2dd51d2e0278.xml
2025-12-04T09:52:01.0348768Z 
2025-12-04T09:52:01.0349713Z test_ops 12/13 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_12.13_1748398319bb30d8_.log
2025-12-04T09:52:01.0350302Z Running 0 items in this shard:
2025-12-04T09:52:01.0350476Z 
2025-12-04T09:52:01.0350705Z Finished test_ops 12/13 ... [2025-12-04 09:52:01.034586][2253.014358031], took 1.09min
2025-12-04T09:52:01.2561270Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-12-04T09:52:01.2562613Z   import pynvml  # type: ignore[import]
2025-12-04T09:52:02.4824912Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-12-04T09:52:03.8794631Z   import pynvml  # type: ignore[import]
2025-12-04T09:52:03.8795508Z Running test_ops_gradients 1/2 ... [2025-12-04 09:52:03.878791][2255.858563022]
2025-12-04T09:52:03.8796344Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:52:03.8797888Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_ops_gradients.py', '-m', 'not serial', '--shard-id=1', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:52:03.879277]
2025-12-04T09:52:38.6999892Z 
2025-12-04T09:52:38.7003409Z test_ops_gradients 1/2 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_gradients_1.2_dc167c29f767045a_.log
2025-12-04T09:52:38.7070970Z Running 200 items in this shard: test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_grad_cholesky_solve_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_grad_cholesky_solve_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_grad_grid_sampler_2d_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_gradgrad_cholesky_solve_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_grad_cholesky_solve_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_grad_cholesky_solve_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_grad_cholesky_solve_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_grad_cholesky_solve_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_grad_cholesky_solve_cuda_complex128, 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2025-12-04T09:52:38.7138073Z 
2025-12-04T09:52:38.7138323Z Finished test_ops_gradients 1/2 ... [2025-12-04 09:52:38.700123][2290.679896752], took 0.58min
2025-12-04T09:52:38.7139155Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops/test_ops-be18793dcbf8a5e5.xml
2025-12-04T09:52:38.8852154Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops_gradients/test_ops_gradients-2b9cae2d91c50ce0.xml
2025-12-04T09:52:40.2545708Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-12-04T09:52:40.2546932Z   import pynvml  # type: ignore[import]
2025-12-04T09:52:42.2236760Z 
2025-12-04T09:52:42.2237646Z PRINTING LOG FILE of test_ops 13/13 (test/test-reports/test_ops_13.13_4f81462baf303052_.log)
2025-12-04T09:52:42.2239919Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-12-04T09:52:42.2241897Z   import pynvml  # type: ignore[import]
2025-12-04T09:52:42.2242682Z Test results will be stored in test-reports/python-pytest/test_ops/test_ops-be18793dcbf8a5e5.xml
2025-12-04T09:52:42.2243619Z ============================= test session starts ==============================
2025-12-04T09:52:42.2244532Z platform linux -- Python 3.10.14, pytest-9.0.1, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python
2025-12-04T09:52:42.2245268Z cachedir: .pytest_cache
2025-12-04T09:52:42.2246104Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow]
2025-12-04T09:52:42.2247749Z benchmark: 5.2.3 (defaults: timer=time.perf_counter disable_gc=False min_rounds=5 min_time=0.000005 max_time=1.0 calibration_precision=10 warmup=False warmup_iterations=100000)
2025-12-04T09:52:42.2249355Z rootdir: /var/lib/jenkins/workspace
2025-12-04T09:52:42.2249801Z configfile: pytest.ini
2025-12-04T09:52:42.2250864Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, hydra-core-1.3.2, benchmark-5.2.3, typeguard-4.4.4
2025-12-04T09:52:42.2252000Z collecting ... collected 33666 items
2025-12-04T09:52:42.2252536Z stepcurrent: Cannot find last run test, not skipping
2025-12-04T09:52:42.2306480Z Running 100 items in this shard: test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_empty_strided_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32
2025-12-04T09:52:42.2358574Z 
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2025-12-04T09:52:42.2360692Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 FAILED [0.6321s] [  2%]
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2025-12-04T09:52:42.2420221Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.7185s] [  2%]
2025-12-04T09:52:42.2421745Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.7237s] [  2%]
2025-12-04T09:52:42.2423067Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.7199s] [  2%]
2025-12-04T09:52:42.2424372Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.6888s] [  2%]
2025-12-04T09:52:42.2425793Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.6850s] [  2%]
2025-12-04T09:52:42.2427108Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.6836s] [  2%]
2025-12-04T09:52:42.2428412Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.7063s] [  2%]
2025-12-04T09:52:42.2429715Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.6852s] [  2%]
2025-12-04T09:52:42.2431034Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.6872s] [  2%]
2025-12-04T09:52:42.2432344Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.7089s] [  2%]
2025-12-04T09:52:42.2433653Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.6977s] [  2%]
2025-12-04T09:52:42.2434941Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.6970s] [  2%]
2025-12-04T09:52:42.2436250Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.6986s] [  2%]
2025-12-04T09:52:42.2437573Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.6855s] [  2%]
2025-12-04T09:52:42.2438887Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.6910s] [  2%]
2025-12-04T09:52:42.2440186Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.7002s] [  2%]
2025-12-04T09:52:42.2441502Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.6873s] [  2%]
2025-12-04T09:52:42.2442816Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.6928s] [  2%]
2025-12-04T09:52:42.2444124Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.6889s] [  2%]
2025-12-04T09:52:42.2445426Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.7027s] [  2%]
2025-12-04T09:52:42.2446891Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.6969s] [  2%]
2025-12-04T09:52:42.2448203Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.7023s] [  2%]
2025-12-04T09:52:42.2449565Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.7049s] [  2%]
2025-12-04T09:52:42.2450869Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.7033s] [  2%]
2025-12-04T09:52:42.2452165Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.7101s] [  2%]
2025-12-04T09:52:42.2453479Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.7050s] [  2%]
2025-12-04T09:52:42.2454800Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.7024s] [  2%]
2025-12-04T09:52:42.2456493Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.7057s] [  2%]
2025-12-04T09:52:42.2457883Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.7039s] [  2%]
2025-12-04T09:52:42.2459253Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.7072s] [  2%]
2025-12-04T09:52:42.2460574Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.7104s] [  2%]
2025-12-04T09:52:42.2461905Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.7049s] [  2%]
2025-12-04T09:52:42.2463215Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.7002s] [  2%]
2025-12-04T09:52:42.2464531Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.7037s] [  2%]
2025-12-04T09:52:42.2465958Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.7012s] [  2%]
2025-12-04T09:52:42.2467272Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.7008s] [  2%]
2025-12-04T09:52:42.2468573Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.6923s] [  2%]
2025-12-04T09:52:42.2469876Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.6986s] [  2%]
2025-12-04T09:52:42.2471188Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.7063s] [  2%]
2025-12-04T09:52:42.2472494Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.7025s] [  2%]
2025-12-04T09:52:42.2473811Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.7001s] [  2%]
2025-12-04T09:52:42.2475133Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.7009s] [  2%]
2025-12-04T09:52:42.2476442Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.6873s] [  2%]
2025-12-04T09:52:42.2489587Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.6890s] [  2%]
2025-12-04T09:52:42.2491004Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.6989s] [  2%]
2025-12-04T09:52:42.2492298Z test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 PASSED [0.7041s] [  2%]
2025-12-04T09:52:42.2493242Z 
2025-12-04T09:52:42.2493440Z =================================== FAILURES ===================================
2025-12-04T09:52:42.2494202Z _ TestFakeTensorCUDA.test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 _
2025-12-04T09:52:42.2494935Z Traceback (most recent call last):
2025-12-04T09:52:42.2495899Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1151, in test_wrapper
2025-12-04T09:52:42.2496854Z     return test(*args, **kwargs)
2025-12-04T09:52:42.2497730Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1435, in only_fn
2025-12-04T09:52:42.2498821Z     return fn(slf, *args, **kwargs)
2025-12-04T09:52:42.2499723Z   File "/var/lib/jenkins/workspace/test/test_ops.py", line 2983, in test_fake_crossref_backward_amp
2025-12-04T09:52:42.2500686Z     self._test_fake_crossref_helper(device, dtype, op, torch.cuda.amp.autocast)
2025-12-04T09:52:42.2501607Z   File "/var/lib/jenkins/workspace/test/test_ops.py", line 2933, in _test_fake_crossref_helper
2025-12-04T09:52:42.2502848Z     samples = op.sample_inputs(device, dtype, requires_grad=True)
2025-12-04T09:52:42.2504104Z   File "/var/lib/jenkins/workspace/test/test_ops.py", line 2957, in torch_dynamo_resume_in__test_fake_crossref_helper_at_2933
2025-12-04T09:52:42.2505125Z     composite_compliance.compute_expected_grads(
2025-12-04T09:52:42.2506199Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/composite_compliance.py", line 431, in compute_expected_grads
2025-12-04T09:52:42.2507288Z     results = gradcheck_wrapper(op, *args, **kwargs)
2025-12-04T09:52:42.2508420Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/opinfo/core.py", line 831, in <lambda>
2025-12-04T09:52:42.2509718Z     gradcheck_wrapper: Callable = lambda op, *args, **kwargs: op(*args, **kwargs)
2025-12-04T09:52:42.2510819Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_subclasses/fake_utils.py", line 275, in __torch_dispatch__
2025-12-04T09:52:42.2511710Z     _check_alias_info(
2025-12-04T09:52:42.2512470Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_subclasses/fake_utils.py", line 57, in _check_alias_info
2025-12-04T09:52:42.2513304Z     raise MetadataMismatchError(
2025-12-04T09:52:42.2514475Z torch._subclasses.fake_tensor.MetadataMismatchError: When comparing the output of aten.view.default on FakeTensor and concrete Tensors, found mismatch in outputs_alias_inputs check False != True
2025-12-04T09:52:42.2515651Z 
2025-12-04T09:52:42.2515959Z The above exception was the direct cause of the following exception:
2025-12-04T09:52:42.2516404Z 
2025-12-04T09:52:42.2516557Z Traceback (most recent call last):
2025-12-04T09:52:42.2517287Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 59, in testPartExecutor
2025-12-04T09:52:42.2517987Z     yield
2025-12-04T09:52:42.2518559Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 591, in run
2025-12-04T09:52:42.2519266Z     self._callTestMethod(testMethod)
2025-12-04T09:52:42.2519871Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 549, in _callTestMethod
2025-12-04T09:52:42.2520482Z     method()
2025-12-04T09:52:42.2521179Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper
2025-12-04T09:52:42.2521977Z     method(*args, **kwargs)
2025-12-04T09:52:42.2523060Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper
2025-12-04T09:52:42.2523861Z     method(*args, **kwargs)
2025-12-04T09:52:42.2524685Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 428, in instantiated_test
2025-12-04T09:52:42.2525576Z     result = test(self, **param_kwargs)
2025-12-04T09:52:42.2526434Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1163, in test_wrapper
2025-12-04T09:52:42.2527562Z     raise e_tracked from e
2025-12-04T09:52:42.2528378Z Exception: When comparing the output of aten.view.default on FakeTensor and concrete Tensors, found mismatch in outputs_alias_inputs check False != True
2025-12-04T09:52:42.2529103Z 
2025-12-04T09:52:42.2530281Z Caused by sample input at index 5: SampleInput(input=Tensor[size=(0, 8), device="cuda:0", dtype=torch.float32], args=TensorList[Tensor[size=(0, 8), device="cuda:0", dtype=torch.float32], Tensor[size=(8, 8, 8), device="cuda:0", dtype=torch.float32], Tensor[size=(8,), device="cuda:0", dtype=torch.float32]], kwargs={}, broadcasts_input=False, name='')
2025-12-04T09:52:42.2531383Z 
2025-12-04T09:52:42.2531556Z To execute this test, run the following from the base repo dir:
2025-12-04T09:52:42.2532404Z     PYTORCH_OPINFO_SAMPLE_INPUT_INDEX=5 PYTORCH_TEST_WITH_INDUCTOR=1 python test/test_ops.py TestFakeTensorCUDA.test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32
2025-12-04T09:52:42.2533075Z 
2025-12-04T09:52:42.2533290Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T09:52:42.2533776Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T09:52:42.2535178Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/functions.py:1933: UserWarning: Dynamo does not know how to trace the builtin `sys._getframe.` This function is either a Python builtin (e.g. _warnings.warn) or a third-party C/C++ Python extension (perhaps created with pybind).
2025-12-04T09:52:42.2536653Z If it is a Python builtin, please file an issue on GitHub so the PyTorch team can add support for it and see the next case for a workaround.
2025-12-04T09:52:42.2538004Z If it is a third-party C/C++ Python extension, please either wrap it into a PyTorch-understood custom operator (see https://pytorch.org/tutorials/advanced/custom_ops_landing_page.html for more details) or, if it is traceable, use `torch.compiler.allow_in_graph`.
2025-12-04T09:52:42.2539190Z   torch._dynamo.utils.warn_once(explanation + "\n" + "\n".join(hints))
2025-12-04T09:52:42.2540045Z /var/lib/jenkins/workspace/test/test_ops.py:2954: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
2025-12-04T09:52:42.2540773Z   context(),
2025-12-04T09:52:42.2541440Z /var/lib/jenkins/workspace/test/test_ops.py:2954: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
2025-12-04T09:52:42.2542152Z   context(),
2025-12-04T09:52:42.2542816Z /var/lib/jenkins/workspace/test/test_ops.py:2954: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
2025-12-04T09:52:42.2543534Z   context(),
2025-12-04T09:52:42.2544195Z /var/lib/jenkins/workspace/test/test_ops.py:2954: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
2025-12-04T09:52:42.2544906Z   context(),
2025-12-04T09:52:42.2545750Z /var/lib/jenkins/workspace/test/test_ops.py:2954: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
2025-12-04T09:52:42.2546471Z   context(),
2025-12-04T09:52:42.2547126Z /var/lib/jenkins/workspace/test/test_ops.py:2954: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
2025-12-04T09:52:42.2547846Z   context(),
2025-12-04T09:52:42.2548411Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops/test_ops-be18793dcbf8a5e5.xml -
2025-12-04T09:52:42.2549080Z =========================== short test summary info ============================
2025-12-04T09:52:42.2550446Z FAILED [0.6321s] test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32 - Exception: When comparing the output of aten.view.default on FakeTensor and concrete Tensors, found mismatch in outputs_alias_inputs check False != True
2025-12-04T09:52:42.2551883Z 
2025-12-04T09:52:42.2552876Z Caused by sample input at index 5: SampleInput(input=Tensor[size=(0, 8), device="cuda:0", dtype=torch.float32], args=TensorList[Tensor[size=(0, 8), device="cuda:0", dtype=torch.float32], Tensor[size=(8, 8, 8), device="cuda:0", dtype=torch.float32], Tensor[size=(8,), device="cuda:0", dtype=torch.float32]], kwargs={}, broadcasts_input=False, name='')
2025-12-04T09:52:42.2553955Z 
2025-12-04T09:52:42.2554185Z To execute this test, run the following from the base repo dir:
2025-12-04T09:52:42.2555362Z     PYTORCH_OPINFO_SAMPLE_INPUT_INDEX=5 PYTORCH_TEST_WITH_INDUCTOR=1 python test/test_ops.py TestFakeTensorCUDA.test_fake_crossref_backward_amp_nn_functional_bilinear_cuda_float32
2025-12-04T09:52:42.2556295Z 
2025-12-04T09:52:42.2556596Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T09:52:42.2557192Z ============= 1 failed, 49 passed, 50 skipped in 82.89s (0:01:22) ==============
2025-12-04T09:52:42.2557464Z 
2025-12-04T09:52:42.2557747Z FINISHED PRINTING LOG FILE of test_ops 13/13 (test/test-reports/test_ops_13.13_4f81462baf303052_.log)
2025-12-04T09:52:42.2558135Z 
2025-12-04T09:52:42.2558458Z Finished test_ops 13/13 ... [2025-12-04 09:52:42.223586][2294.203359768], took 1.70min
2025-12-04T09:52:42.8353556Z Uploading logs for 57118472355 to S3
2025-12-04T09:52:42.8811168Z Uploading artifacts took 0.65 seconds
2025-12-04T09:52:42.8812318Z test_ops 13/13 failed!
2025-12-04T09:52:43.7029334Z Running test batch 'tests to run' cost 823.29 seconds
2025-12-04T09:52:43.7029780Z Emitting td_test_failure_stats_v2
2025-12-04T09:52:43.7032154Z Writing 1 documents to S3 ossci-raw-job-status/ossci_uploaded_metrics/td_test_failure_stats_v2_1764841963_fad12716d0f611f088d80242ac110002
2025-12-04T09:52:43.8095291Z Done! Finish writing document to S3 ossci-raw-job-status/ossci_uploaded_metrics/td_test_failure_stats_v2_1764841963_fad12716d0f611f088d80242ac110002 
2025-12-04T09:52:43.8096092Z Emitting td_test_failure_stats_v2
2025-12-04T09:52:43.8098579Z Writing 1 documents to S3 ossci-raw-job-status/ossci_uploaded_metrics/td_test_failure_stats_v2_1764841963_fae16b30d0f611f088d80242ac110002
2025-12-04T09:52:43.8361704Z Done! Finish writing document to S3 ossci-raw-job-status/ossci_uploaded_metrics/td_test_failure_stats_v2_1764841963_fae16b30d0f611f088d80242ac110002 
2025-12-04T09:52:43.8363170Z test_torch 1/2 failed!
2025-12-04T09:52:43.8363487Z test_ops 13/13 failed!
2025-12-04T09:52:44.6126016Z + python test/run_test.py --include inductor/test_torchinductor inductor/test_torchinductor_opinfo inductor/test_aot_inductor --shard 1 2 --verbose
2025-12-04T09:52:45.1932146Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-12-04T09:52:45.1933826Z   import pynvml  # type: ignore[import]
2025-12-04T09:52:47.7373793Z No TD results found
2025-12-04T09:52:47.7374585Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json
2025-12-04T09:52:47.7484328Z ##[warning] Gathered no stats from artifacts for inductor-test build env and inductor test config. Using default job name and inductor test config instead.
2025-12-04T09:52:47.7900084Z ##[warning] Gathered no stats from artifacts for inductor-test build env and inductor test config. Using default job name and inductor test config instead.
2025-12-04T09:52:47.7908762Z Running all tests
2025-12-04T09:52:47.7914158Z Running parallel tests on 3 processes
2025-12-04T09:52:47.7914590Z Name: tests to run (est. time: 32.7min)
2025-12-04T09:52:47.7914983Z   Serial tests (0):
2025-12-04T09:52:47.7915265Z   Parallel tests (10):
2025-12-04T09:52:47.7915514Z     inductor/test_aot_inductor 1/4
2025-12-04T09:52:47.7916030Z     inductor/test_aot_inductor 3/4
2025-12-04T09:52:47.7916356Z     inductor/test_aot_inductor 4/4
2025-12-04T09:52:47.7916746Z     inductor/test_torchinductor 1/2
2025-12-04T09:52:47.7917134Z     inductor/test_torchinductor_opinfo 3/12
2025-12-04T09:52:47.7917538Z     inductor/test_torchinductor_opinfo 5/12
2025-12-04T09:52:47.7917861Z     inductor/test_torchinductor_opinfo 6/12
2025-12-04T09:52:47.7918163Z     inductor/test_torchinductor_opinfo 9/12
2025-12-04T09:52:47.7918498Z     inductor/test_torchinductor_opinfo 11/12
2025-12-04T09:52:47.7918820Z     inductor/test_torchinductor_opinfo 12/12
2025-12-04T09:52:47.7919122Z Name: excluded (est. time: 0.0min)
2025-12-04T09:52:47.7919376Z   Serial tests (0):
2025-12-04T09:52:47.7919607Z   Parallel tests (0):
2025-12-04T09:52:47.7920082Z Running inductor/test_aot_inductor 1/4 ... [2025-12-04 09:52:47.791496][2299.771272138]
2025-12-04T09:52:47.7920697Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:52:47.7922098Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_aot_inductor.py', '-m', 'serial', '--shard-id=1', '--num-shards=4', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:52:47.791861]
2025-12-04T09:52:58.6862302Z 
2025-12-04T09:52:58.6863050Z inductor/test_aot_inductor 1/4 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_aot_inductor_1.4_fb20b85b28b16e24_.log
2025-12-04T09:52:58.6863769Z Running 0 items in this shard:
2025-12-04T09:52:58.6863968Z 
2025-12-04T09:52:58.6864288Z Finished inductor/test_aot_inductor 1/4 ... [2025-12-04 09:52:58.685988][2310.665761872], took 0.18min
2025-12-04T09:52:58.6893387Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-cf99266a934fe7a3.xml
2025-12-04T09:52:59.4515568Z Uploading artifacts took 0.59 seconds
2025-12-04T09:52:59.4516784Z Running inductor/test_aot_inductor 3/4 ... [2025-12-04 09:52:59.451264][2311.431036389]
2025-12-04T09:52:59.4517280Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:52:59.4520427Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_aot_inductor.py', '-m', 'serial', '--shard-id=3', '--num-shards=4', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:52:59.451628]
2025-12-04T09:53:10.1846426Z 
2025-12-04T09:53:10.1847330Z inductor/test_aot_inductor 3/4 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_aot_inductor_3.4_e3020d6099f0f9c1_.log
2025-12-04T09:53:10.1848059Z Running 0 items in this shard:
2025-12-04T09:53:10.1848235Z 
2025-12-04T09:53:10.1848528Z Finished inductor/test_aot_inductor 3/4 ... [2025-12-04 09:53:10.184258][2322.164032128], took 0.18min
2025-12-04T09:53:10.1876421Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-0c8273ead8b7b639.xml
2025-12-04T09:53:10.2478102Z Running inductor/test_aot_inductor 4/4 ... [2025-12-04 09:53:10.247420][2322.227194545]
2025-12-04T09:53:10.2478553Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:53:10.2481497Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_aot_inductor.py', '-m', 'serial', '--shard-id=4', '--num-shards=4', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:53:10.247757]
2025-12-04T09:53:20.9784863Z 
2025-12-04T09:53:20.9785874Z inductor/test_aot_inductor 4/4 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_aot_inductor_4.4_49109c56804311f7_.log
2025-12-04T09:53:20.9786595Z Running 0 items in this shard:
2025-12-04T09:53:20.9787081Z 
2025-12-04T09:53:20.9819147Z Finished inductor/test_aot_inductor 4/4 ... [2025-12-04 09:53:20.978136][2332.957909546], took 0.18min
2025-12-04T09:53:20.9820387Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-6b9c0d7f0c12a50a.xml
2025-12-04T09:53:21.0542356Z Running inductor/test_torchinductor 1/2 ... [2025-12-04 09:53:21.053729][2333.033503467]
2025-12-04T09:53:21.0543546Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:53:21.0546311Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_torchinductor.py', '-m', 'serial', '--shard-id=1', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:53:21.054039]
2025-12-04T09:53:32.2200561Z 
2025-12-04T09:53:32.2201551Z inductor/test_torchinductor 1/2 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_1.2_14fb6000b64feeeb_.log
2025-12-04T09:53:32.2202554Z Running 0 items in this shard:
2025-12-04T09:53:32.2202730Z 
2025-12-04T09:53:32.2203404Z Finished inductor/test_torchinductor 1/2 ... [2025-12-04 09:53:32.219697][2344.199471562], took 0.19min
2025-12-04T09:53:32.2233508Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_torchinductor/inductor.test_torchinductor-df2fbd85c96ca5a8.xml
2025-12-04T09:53:32.2910199Z Running inductor/test_torchinductor_opinfo 3/12 ... [2025-12-04 09:53:32.290657][2344.27043132]
2025-12-04T09:53:32.2910671Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:53:32.2913734Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_torchinductor_opinfo.py', '-m', 'serial', '--shard-id=3', '--num-shards=12', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:53:32.290984]
2025-12-04T09:53:48.6371921Z 
2025-12-04T09:53:48.6373043Z inductor/test_torchinductor_opinfo 3/12 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_opinfo_3.12_3de6e176afff1b2f_.log
2025-12-04T09:53:48.6373850Z Running 0 items in this shard:
2025-12-04T09:53:48.6374025Z 
2025-12-04T09:53:48.6374349Z Finished inductor/test_torchinductor_opinfo 3/12 ... [2025-12-04 09:53:48.636831][2360.616603711], took 0.27min
2025-12-04T09:53:48.6407602Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-4bc08a14bc206665.xml
2025-12-04T09:53:48.7048090Z Running inductor/test_torchinductor_opinfo 5/12 ... [2025-12-04 09:53:48.704439][2360.684213113]
2025-12-04T09:53:48.7048585Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:53:48.7051802Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_torchinductor_opinfo.py', '-m', 'serial', '--shard-id=5', '--num-shards=12', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:53:48.704799]
2025-12-04T09:54:05.1845236Z 
2025-12-04T09:54:05.1846288Z inductor/test_torchinductor_opinfo 5/12 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_opinfo_5.12_14ede05323f4d179_.log
2025-12-04T09:54:05.1847086Z Running 0 items in this shard:
2025-12-04T09:54:05.1847258Z 
2025-12-04T09:54:05.1847579Z Finished inductor/test_torchinductor_opinfo 5/12 ... [2025-12-04 09:54:05.184182][2377.163955882], took 0.27min
2025-12-04T09:54:05.1889964Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-0116476881cc98ef.xml
2025-12-04T09:54:05.2694792Z Running inductor/test_torchinductor_opinfo 6/12 ... [2025-12-04 09:54:05.269060][2377.248833279]
2025-12-04T09:54:05.2695283Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:54:05.2698200Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_torchinductor_opinfo.py', '-m', 'serial', '--shard-id=6', '--num-shards=12', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:54:05.269423]
2025-12-04T09:54:21.7297002Z 
2025-12-04T09:54:21.7298110Z inductor/test_torchinductor_opinfo 6/12 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_opinfo_6.12_c36332cbcde50cf4_.log
2025-12-04T09:54:21.7298925Z Running 0 items in this shard:
2025-12-04T09:54:21.7299098Z 
2025-12-04T09:54:21.7299416Z Finished inductor/test_torchinductor_opinfo 6/12 ... [2025-12-04 09:54:21.729335][2393.709109879], took 0.27min
2025-12-04T09:54:21.7336464Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-843e9845382ec65c.xml
2025-12-04T09:54:21.8060134Z Running inductor/test_torchinductor_opinfo 9/12 ... [2025-12-04 09:54:21.805612][2393.785387152]
2025-12-04T09:54:21.8060641Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:54:21.8063439Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_torchinductor_opinfo.py', '-m', 'serial', '--shard-id=9', '--num-shards=12', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:54:21.805938]
2025-12-04T09:54:38.1710856Z 
2025-12-04T09:54:38.1711571Z inductor/test_torchinductor_opinfo 9/12 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_opinfo_9.12_e21dd8b8d0c43bcd_.log
2025-12-04T09:54:38.1712409Z Running 0 items in this shard:
2025-12-04T09:54:38.1712587Z 
2025-12-04T09:54:38.1712920Z Finished inductor/test_torchinductor_opinfo 9/12 ... [2025-12-04 09:54:38.170749][2410.150524051], took 0.27min
2025-12-04T09:54:38.1750408Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-c2489e93904dfddd.xml
2025-12-04T09:54:38.2225732Z Running inductor/test_torchinductor_opinfo 11/12 ... [2025-12-04 09:54:38.222205][2410.201980069]
2025-12-04T09:54:38.2226236Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:54:38.2230072Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_torchinductor_opinfo.py', '-m', 'serial', '--shard-id=11', '--num-shards=12', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:54:38.222548]
2025-12-04T09:54:54.6753360Z 
2025-12-04T09:54:54.6754498Z inductor/test_torchinductor_opinfo 11/12 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_opinfo_11.12_69ba1ab7064cf6f9_.log
2025-12-04T09:54:54.6755361Z Running 0 items in this shard:
2025-12-04T09:54:54.6755563Z 
2025-12-04T09:54:54.6755889Z Finished inductor/test_torchinductor_opinfo 11/12 ... [2025-12-04 09:54:54.674954][2426.654728184], took 0.27min
2025-12-04T09:54:54.6802026Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-091c57fcc7eebe1c.xml
2025-12-04T09:54:54.7999349Z Running inductor/test_torchinductor_opinfo 12/12 ... [2025-12-04 09:54:54.799580][2426.77935341]
2025-12-04T09:54:54.7999829Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:54:54.8003420Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_torchinductor_opinfo.py', '-m', 'serial', '--shard-id=12', '--num-shards=12', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:54:54.799935]
2025-12-04T09:55:11.1849492Z 
2025-12-04T09:55:11.1850810Z inductor/test_torchinductor_opinfo 12/12 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_opinfo_12.12_b9a415e4839c09ce_.log
2025-12-04T09:55:11.1851599Z Running 0 items in this shard:
2025-12-04T09:55:11.1851782Z 
2025-12-04T09:55:11.1852096Z Finished inductor/test_torchinductor_opinfo 12/12 ... [2025-12-04 09:55:11.184585][2443.164359811], took 0.27min
2025-12-04T09:55:11.1892488Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-65dd665c8003ac70.xml
2025-12-04T09:55:11.8910130Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-12-04T09:55:11.8912284Z   import pynvml  # type: ignore[import]
2025-12-04T09:55:11.8957145Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-12-04T09:55:11.8959144Z   import pynvml  # type: ignore[import]
2025-12-04T09:55:11.9024510Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-12-04T09:55:11.9026667Z   import pynvml  # type: ignore[import]
2025-12-04T09:55:14.6065131Z Running inductor/test_aot_inductor 1/4 ... [2025-12-04 09:55:14.606014][2446.585786498]
2025-12-04T09:55:14.6065607Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:55:14.6069690Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_aot_inductor.py', '-m', 'not serial', '--shard-id=1', '--num-shards=4', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:55:14.606532]
2025-12-04T09:55:14.6264205Z Running inductor/test_aot_inductor 3/4 ... [2025-12-04 09:55:14.625882][2446.605654321]
2025-12-04T09:55:14.6264666Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:55:14.6267852Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_aot_inductor.py', '-m', 'not serial', '--shard-id=3', '--num-shards=4', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:55:14.626355]
2025-12-04T09:55:14.6584533Z Running inductor/test_aot_inductor 4/4 ... [2025-12-04 09:55:14.658000][2446.637772822]
2025-12-04T09:55:14.6585038Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:55:14.6589305Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_aot_inductor.py', '-m', 'not serial', '--shard-id=4', '--num-shards=4', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:55:14.658518]
2025-12-04T09:55:25.4722676Z 
2025-12-04T09:55:25.4723775Z inductor/test_aot_inductor 3/4 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_aot_inductor_3.4_3790280800caa198_.log
2025-12-04T09:55:25.4724492Z Running 0 items in this shard:
2025-12-04T09:55:25.4724662Z 
2025-12-04T09:55:25.4725276Z Finished inductor/test_aot_inductor 3/4 ... [2025-12-04 09:55:25.471911][2457.451685497], took 0.18min
2025-12-04T09:55:25.4771539Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-f2e98d655d8c970f.xml
2025-12-04T09:55:25.5549891Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-42169263dc95fc8f.xml
2025-12-04T09:55:26.8888855Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-12-04T09:55:26.8890057Z   import pynvml  # type: ignore[import]
2025-12-04T09:55:27.2594453Z 
2025-12-04T09:55:27.2595688Z inductor/test_aot_inductor 1/4 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_aot_inductor_1.4_a09f5f46bd6502f2_.log
2025-12-04T09:55:27.2596445Z Running 0 items in this shard:
2025-12-04T09:55:27.2596618Z 
2025-12-04T09:55:27.2596910Z Finished inductor/test_aot_inductor 1/4 ... [2025-12-04 09:55:27.259205][2459.23897871], took 0.21min
2025-12-04T09:55:28.7295881Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-12-04T09:55:28.7297536Z   import pynvml  # type: ignore[import]
2025-12-04T09:55:29.2288604Z 
2025-12-04T09:55:29.2289575Z inductor/test_aot_inductor 4/4 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_aot_inductor_4.4_9ce434cf64e5eea9_.log
2025-12-04T09:55:29.2290432Z Running 0 items in this shard:
2025-12-04T09:55:29.2290604Z 
2025-12-04T09:55:29.2290928Z Finished inductor/test_aot_inductor 4/4 ... [2025-12-04 09:55:29.228643][2461.208417193], took 0.24min
2025-12-04T09:55:29.2330635Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-1c6c2bbeeff5553a.xml
2025-12-04T09:55:29.5224102Z Running inductor/test_torchinductor 1/2 ... [2025-12-04 09:55:29.521655][2461.501425405]
2025-12-04T09:55:29.5225513Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:55:29.5228378Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_torchinductor.py', '-m', 'not serial', '--shard-id=1', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:55:29.522237]
2025-12-04T09:55:30.7163740Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-12-04T09:55:30.7164978Z   import pynvml  # type: ignore[import]
2025-12-04T09:55:31.3871497Z Running inductor/test_torchinductor_opinfo 3/12 ... [2025-12-04 09:55:31.386546][2463.366317909]
2025-12-04T09:55:31.3872138Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:55:31.3874552Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_torchinductor_opinfo.py', '-m', 'not serial', '--shard-id=3', '--num-shards=12', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:55:31.387013]
2025-12-04T09:55:33.3157492Z Running inductor/test_torchinductor_opinfo 5/12 ... [2025-12-04 09:55:33.315170][2465.294941485]
2025-12-04T09:55:33.3158016Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:55:33.3160472Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_torchinductor_opinfo.py', '-m', 'not serial', '--shard-id=5', '--num-shards=12', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:55:33.315674]
2025-12-04T09:55:48.0720945Z 
2025-12-04T09:55:48.0722037Z inductor/test_torchinductor_opinfo 3/12 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_opinfo_3.12_3ec7eaea6bbbf745_.log
2025-12-04T09:55:48.0757830Z Running 50 items in this shard: test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_bilinear_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_bilinear_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_bilinear_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_bilinear_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_bilinear_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_bilinear_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_bilinear_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_bilinear_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_bilinear_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_bilinear_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_bilinear_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_bilinear_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_bilinear_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_bilinear_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_bilinear_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_bilinear_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_bilinear_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_bilinear_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_bilinear_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_bilinear_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_bilinear_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_bilinear_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_bilinear_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_bilinear_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_bilinear_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_bilinear_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_bilinear_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_bilinear_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_bilinear_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_bilinear_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_bilinear_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_bilinear_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_bilinear_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_bilinear_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_bilinear_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_bilinear_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_bilinear_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_bilinear_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_bilinear_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_bilinear_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_bilinear_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_bilinear_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_bilinear_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_bilinear_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_bilinear_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_bilinear_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_bilinear_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_bilinear_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_bilinear_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_bilinear_cuda_float64
2025-12-04T09:55:48.0784959Z 
2025-12-04T09:55:48.0785300Z Finished inductor/test_torchinductor_opinfo 3/12 ... [2025-12-04 09:55:48.071991][2480.051763842], took 0.28min
2025-12-04T09:55:48.0786417Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-4e8da1b4c82d2279.xml
2025-12-04T09:55:48.1618385Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-8d72e67496250dbd.xml
2025-12-04T09:55:49.4928477Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-12-04T09:55:49.4930720Z   import pynvml  # type: ignore[import]
2025-12-04T09:55:50.2223138Z 
2025-12-04T09:55:50.2224290Z inductor/test_torchinductor_opinfo 5/12 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_opinfo_5.12_0976086765e887ac_.log
2025-12-04T09:55:50.2270554Z Running 100 items in this shard: test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_linear_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_sub_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_linear_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_linear_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_linear_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_linear_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_linear_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_linear_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_linear_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_linear_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_linear_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_linear_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_linear_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_linear_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_linear_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_linear_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_linear_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_linear_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_linear_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_linear_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_linear_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_linear_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_linear_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_linear_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_linear_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_linear_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_linear_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_linear_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_linear_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_linear_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_linear_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_linear_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_linear_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_linear_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_linear_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_linear_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_linear_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_linear_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_linear_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_linear_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_linear_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_linear_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_linear_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_linear_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_linear_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_linear_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_linear_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_linear_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_linear_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_linear_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_linear_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_sub_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_sub_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_sub_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_sub_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_sub_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_sub_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_sub_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_sub_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_sub_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_sub_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_sub_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_sub_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_sub_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_sub_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_sub_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_sub_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_sub_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_sub_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_sub_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_sub_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_sub_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_sub_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_sub_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_sub_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_sub_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_sub_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_sub_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_sub_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_sub_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_sub_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_sub_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_sub_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_sub_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_sub_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_sub_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_sub_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_sub_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_sub_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_sub_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_sub_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_sub_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_sub_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_sub_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_sub_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_sub_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_sub_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_sub_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_sub_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_sub_cuda_float16
2025-12-04T09:55:50.2315366Z 
2025-12-04T09:55:50.2315702Z Finished inductor/test_torchinductor_opinfo 5/12 ... [2025-12-04 09:55:50.222138][2482.201911108], took 0.28min
2025-12-04T09:55:51.6477672Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-12-04T09:55:51.6479688Z   import pynvml  # type: ignore[import]
2025-12-04T09:55:52.1056437Z Running inductor/test_torchinductor_opinfo 6/12 ... [2025-12-04 09:55:52.104954][2484.084724557]
2025-12-04T09:55:52.1057231Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:55:52.1060106Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_torchinductor_opinfo.py', '-m', 'not serial', '--shard-id=6', '--num-shards=12', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:55:52.105432]
2025-12-04T09:55:54.3287427Z Running inductor/test_torchinductor_opinfo 9/12 ... [2025-12-04 09:55:54.328206][2486.30797871]
2025-12-04T09:55:54.3287941Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:55:54.3291162Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_torchinductor_opinfo.py', '-m', 'not serial', '--shard-id=9', '--num-shards=12', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:55:54.328714]
2025-12-04T09:56:00.6499954Z 
2025-12-04T09:56:00.6500889Z inductor/test_torchinductor 1/2 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_1.2_460a2f1df04c1b55_.log
2025-12-04T09:56:00.6534543Z Running 100 items in this shard: test/inductor/test_torchinductor.py::GPUTests::test_mark_unbacked_with_hint_override_cuda, test/inductor/test_torchinductor.py::GPUTests::test_remove_noop_slice1_cuda, test/inductor/test_torchinductor.py::GPUTests::test_mark_unbacked_with_hint_override_cuda, test/inductor/test_torchinductor.py::GPUTests::test_mark_unbacked_with_hint_override_cuda, test/inductor/test_torchinductor.py::GPUTests::test_mark_unbacked_with_hint_override_cuda, test/inductor/test_torchinductor.py::GPUTests::test_mark_unbacked_with_hint_override_cuda, test/inductor/test_torchinductor.py::GPUTests::test_mark_unbacked_with_hint_override_cuda, test/inductor/test_torchinductor.py::GPUTests::test_mark_unbacked_with_hint_override_cuda, test/inductor/test_torchinductor.py::GPUTests::test_mark_unbacked_with_hint_override_cuda, test/inductor/test_torchinductor.py::GPUTests::test_mark_unbacked_with_hint_override_cuda, test/inductor/test_torchinductor.py::GPUTests::test_mark_unbacked_with_hint_override_cuda, test/inductor/test_torchinductor.py::GPUTests::test_mark_unbacked_with_hint_override_cuda, test/inductor/test_torchinductor.py::GPUTests::test_mark_unbacked_with_hint_override_cuda, test/inductor/test_torchinductor.py::GPUTests::test_mark_unbacked_with_hint_override_cuda, test/inductor/test_torchinductor.py::GPUTests::test_mark_unbacked_with_hint_override_cuda, test/inductor/test_torchinductor.py::GPUTests::test_mark_unbacked_with_hint_override_cuda, test/inductor/test_torchinductor.py::GPUTests::test_mark_unbacked_with_hint_override_cuda, test/inductor/test_torchinductor.py::GPUTests::test_mark_unbacked_with_hint_override_cuda, test/inductor/test_torchinductor.py::GPUTests::test_mark_unbacked_with_hint_override_cuda, test/inductor/test_torchinductor.py::GPUTests::test_mark_unbacked_with_hint_override_cuda, test/inductor/test_torchinductor.py::GPUTests::test_mark_unbacked_with_hint_override_cuda, test/inductor/test_torchinductor.py::GPUTests::test_mark_unbacked_with_hint_override_cuda, test/inductor/test_torchinductor.py::GPUTests::test_mark_unbacked_with_hint_override_cuda, test/inductor/test_torchinductor.py::GPUTests::test_mark_unbacked_with_hint_override_cuda, test/inductor/test_torchinductor.py::GPUTests::test_mark_unbacked_with_hint_override_cuda, test/inductor/test_torchinductor.py::GPUTests::test_mark_unbacked_with_hint_override_cuda, test/inductor/test_torchinductor.py::GPUTests::test_mark_unbacked_with_hint_override_cuda, test/inductor/test_torchinductor.py::GPUTests::test_mark_unbacked_with_hint_override_cuda, test/inductor/test_torchinductor.py::GPUTests::test_mark_unbacked_with_hint_override_cuda, test/inductor/test_torchinductor.py::GPUTests::test_mark_unbacked_with_hint_override_cuda, test/inductor/test_torchinductor.py::GPUTests::test_mark_unbacked_with_hint_override_cuda, test/inductor/test_torchinductor.py::GPUTests::test_mark_unbacked_with_hint_override_cuda, test/inductor/test_torchinductor.py::GPUTests::test_mark_unbacked_with_hint_override_cuda, test/inductor/test_torchinductor.py::GPUTests::test_mark_unbacked_with_hint_override_cuda, test/inductor/test_torchinductor.py::GPUTests::test_mark_unbacked_with_hint_override_cuda, test/inductor/test_torchinductor.py::GPUTests::test_mark_unbacked_with_hint_override_cuda, test/inductor/test_torchinductor.py::GPUTests::test_mark_unbacked_with_hint_override_cuda, test/inductor/test_torchinductor.py::GPUTests::test_mark_unbacked_with_hint_override_cuda, test/inductor/test_torchinductor.py::GPUTests::test_mark_unbacked_with_hint_override_cuda, test/inductor/test_torchinductor.py::GPUTests::test_mark_unbacked_with_hint_override_cuda, test/inductor/test_torchinductor.py::GPUTests::test_mark_unbacked_with_hint_override_cuda, test/inductor/test_torchinductor.py::GPUTests::test_mark_unbacked_with_hint_override_cuda, test/inductor/test_torchinductor.py::GPUTests::test_mark_unbacked_with_hint_override_cuda, test/inductor/test_torchinductor.py::GPUTests::test_mark_unbacked_with_hint_override_cuda, test/inductor/test_torchinductor.py::GPUTests::test_mark_unbacked_with_hint_override_cuda, test/inductor/test_torchinductor.py::GPUTests::test_mark_unbacked_with_hint_override_cuda, test/inductor/test_torchinductor.py::GPUTests::test_mark_unbacked_with_hint_override_cuda, test/inductor/test_torchinductor.py::GPUTests::test_mark_unbacked_with_hint_override_cuda, test/inductor/test_torchinductor.py::GPUTests::test_mark_unbacked_with_hint_override_cuda, test/inductor/test_torchinductor.py::GPUTests::test_mark_unbacked_with_hint_override_cuda, test/inductor/test_torchinductor.py::GPUTests::test_mark_unbacked_with_hint_override_cuda, test/inductor/test_torchinductor.py::GPUTests::test_remove_noop_slice1_cuda, test/inductor/test_torchinductor.py::GPUTests::test_remove_noop_slice1_cuda, test/inductor/test_torchinductor.py::GPUTests::test_remove_noop_slice1_cuda, test/inductor/test_torchinductor.py::GPUTests::test_remove_noop_slice1_cuda, test/inductor/test_torchinductor.py::GPUTests::test_remove_noop_slice1_cuda, test/inductor/test_torchinductor.py::GPUTests::test_remove_noop_slice1_cuda, test/inductor/test_torchinductor.py::GPUTests::test_remove_noop_slice1_cuda, test/inductor/test_torchinductor.py::GPUTests::test_remove_noop_slice1_cuda, test/inductor/test_torchinductor.py::GPUTests::test_remove_noop_slice1_cuda, test/inductor/test_torchinductor.py::GPUTests::test_remove_noop_slice1_cuda, test/inductor/test_torchinductor.py::GPUTests::test_remove_noop_slice1_cuda, test/inductor/test_torchinductor.py::GPUTests::test_remove_noop_slice1_cuda, test/inductor/test_torchinductor.py::GPUTests::test_remove_noop_slice1_cuda, test/inductor/test_torchinductor.py::GPUTests::test_remove_noop_slice1_cuda, test/inductor/test_torchinductor.py::GPUTests::test_remove_noop_slice1_cuda, test/inductor/test_torchinductor.py::GPUTests::test_remove_noop_slice1_cuda, test/inductor/test_torchinductor.py::GPUTests::test_remove_noop_slice1_cuda, test/inductor/test_torchinductor.py::GPUTests::test_remove_noop_slice1_cuda, test/inductor/test_torchinductor.py::GPUTests::test_remove_noop_slice1_cuda, test/inductor/test_torchinductor.py::GPUTests::test_remove_noop_slice1_cuda, test/inductor/test_torchinductor.py::GPUTests::test_remove_noop_slice1_cuda, test/inductor/test_torchinductor.py::GPUTests::test_remove_noop_slice1_cuda, test/inductor/test_torchinductor.py::GPUTests::test_remove_noop_slice1_cuda, test/inductor/test_torchinductor.py::GPUTests::test_remove_noop_slice1_cuda, test/inductor/test_torchinductor.py::GPUTests::test_remove_noop_slice1_cuda, test/inductor/test_torchinductor.py::GPUTests::test_remove_noop_slice1_cuda, test/inductor/test_torchinductor.py::GPUTests::test_remove_noop_slice1_cuda, test/inductor/test_torchinductor.py::GPUTests::test_remove_noop_slice1_cuda, test/inductor/test_torchinductor.py::GPUTests::test_remove_noop_slice1_cuda, test/inductor/test_torchinductor.py::GPUTests::test_remove_noop_slice1_cuda, test/inductor/test_torchinductor.py::GPUTests::test_remove_noop_slice1_cuda, test/inductor/test_torchinductor.py::GPUTests::test_remove_noop_slice1_cuda, test/inductor/test_torchinductor.py::GPUTests::test_remove_noop_slice1_cuda, test/inductor/test_torchinductor.py::GPUTests::test_remove_noop_slice1_cuda, test/inductor/test_torchinductor.py::GPUTests::test_remove_noop_slice1_cuda, test/inductor/test_torchinductor.py::GPUTests::test_remove_noop_slice1_cuda, test/inductor/test_torchinductor.py::GPUTests::test_remove_noop_slice1_cuda, test/inductor/test_torchinductor.py::GPUTests::test_remove_noop_slice1_cuda, test/inductor/test_torchinductor.py::GPUTests::test_remove_noop_slice1_cuda, test/inductor/test_torchinductor.py::GPUTests::test_remove_noop_slice1_cuda, test/inductor/test_torchinductor.py::GPUTests::test_remove_noop_slice1_cuda, test/inductor/test_torchinductor.py::GPUTests::test_remove_noop_slice1_cuda, test/inductor/test_torchinductor.py::GPUTests::test_remove_noop_slice1_cuda, test/inductor/test_torchinductor.py::GPUTests::test_remove_noop_slice1_cuda, test/inductor/test_torchinductor.py::GPUTests::test_remove_noop_slice1_cuda, test/inductor/test_torchinductor.py::GPUTests::test_remove_noop_slice1_cuda, test/inductor/test_torchinductor.py::GPUTests::test_remove_noop_slice1_cuda, test/inductor/test_torchinductor.py::GPUTests::test_remove_noop_slice1_cuda, test/inductor/test_torchinductor.py::GPUTests::test_remove_noop_slice1_cuda
2025-12-04T09:56:00.6565411Z 
2025-12-04T09:56:00.6565743Z Finished inductor/test_torchinductor 1/2 ... [2025-12-04 09:56:00.649866][2492.629639885], took 0.52min
2025-12-04T09:56:00.6566797Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_torchinductor/inductor.test_torchinductor-a4fec4ddfef9960b.xml
2025-12-04T09:56:02.1105126Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-12-04T09:56:02.1106401Z   import pynvml  # type: ignore[import]
2025-12-04T09:56:04.6951416Z Running inductor/test_torchinductor_opinfo 11/12 ... [2025-12-04 09:56:04.694456][2496.674228037]
2025-12-04T09:56:04.6952123Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:56:04.6954066Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_torchinductor_opinfo.py', '-m', 'not serial', '--shard-id=11', '--num-shards=12', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:56:04.694989]
2025-12-04T09:56:08.9989286Z 
2025-12-04T09:56:08.9990400Z inductor/test_torchinductor_opinfo 6/12 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_opinfo_6.12_45d0c5dd48e7796b_.log
2025-12-04T09:56:09.0032631Z Running 100 items in this shard: test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive___rpow___cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_matmul_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive___rpow___cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive___rpow___cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive___rpow___cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive___rpow___cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive___rpow___cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive___rpow___cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive___rpow___cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive___rpow___cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive___rpow___cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive___rpow___cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive___rpow___cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive___rpow___cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive___rpow___cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive___rpow___cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive___rpow___cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive___rpow___cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive___rpow___cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive___rpow___cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive___rpow___cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive___rpow___cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive___rpow___cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive___rpow___cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive___rpow___cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive___rpow___cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive___rpow___cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive___rpow___cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive___rpow___cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive___rpow___cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive___rpow___cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive___rpow___cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive___rpow___cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive___rpow___cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive___rpow___cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive___rpow___cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive___rpow___cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive___rpow___cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive___rpow___cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive___rpow___cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive___rpow___cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive___rpow___cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive___rpow___cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive___rpow___cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive___rpow___cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive___rpow___cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive___rpow___cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive___rpow___cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive___rpow___cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive___rpow___cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive___rpow___cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_matmul_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_matmul_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_matmul_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_matmul_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_matmul_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_matmul_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_matmul_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_matmul_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_matmul_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_matmul_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_matmul_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_matmul_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_matmul_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_matmul_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_matmul_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_matmul_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_matmul_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_matmul_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_matmul_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_matmul_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_matmul_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_matmul_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_matmul_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_matmul_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_matmul_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_matmul_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_matmul_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_matmul_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_matmul_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_matmul_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_matmul_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_matmul_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_matmul_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_matmul_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_matmul_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_matmul_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_matmul_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_matmul_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_matmul_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_matmul_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_matmul_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_matmul_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_matmul_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_matmul_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_matmul_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_matmul_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_matmul_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_matmul_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_matmul_cuda_float16
2025-12-04T09:56:09.0074740Z 
2025-12-04T09:56:09.0075075Z Finished inductor/test_torchinductor_opinfo 6/12 ... [2025-12-04 09:56:08.998941][2500.978714083], took 0.28min
2025-12-04T09:56:09.0076173Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-772821965e11e619.xml
2025-12-04T09:56:10.4873513Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-12-04T09:56:10.4875569Z   import pynvml  # type: ignore[import]
2025-12-04T09:56:13.0942038Z Running inductor/test_torchinductor_opinfo 12/12 ... [2025-12-04 09:56:13.093506][2505.073277422]
2025-12-04T09:56:13.0942665Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set
2025-12-04T09:56:13.0943947Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_torchinductor_opinfo.py', '-m', 'not serial', '--shard-id=12', '--num-shards=12', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--flake-finder', '--flake-runs=50', '--import-slow-tests', '--import-disabled-tests', '--rerun-disabled-tests'] ... [2025-12-04 09:56:13.093973]
2025-12-04T09:56:21.4728345Z 
2025-12-04T09:56:21.4729570Z inductor/test_torchinductor_opinfo 11/12 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_opinfo_11.12_7b18d82c550bca5e_.log
2025-12-04T09:56:21.4730799Z Running 0 items in this shard:
2025-12-04T09:56:21.4730980Z 
2025-12-04T09:56:21.4731313Z Finished inductor/test_torchinductor_opinfo 11/12 ... [2025-12-04 09:56:21.472478][2513.452252012], took 0.28min
2025-12-04T09:56:21.4784409Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-e58cea07b3e51feb.xml
2025-12-04T09:56:22.9003342Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-12-04T09:56:22.9004668Z   import pynvml  # type: ignore[import]
2025-12-04T09:56:29.8724176Z 
2025-12-04T09:56:29.8725316Z inductor/test_torchinductor_opinfo 12/12 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_opinfo_12.12_411cd4db48c3f483_.log
2025-12-04T09:56:29.8769436Z Running 100 items in this shard: test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_complex_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_lu_factor_ex_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_complex_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_complex_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_complex_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_complex_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_complex_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_complex_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_complex_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_complex_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_complex_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_complex_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_complex_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_complex_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_complex_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_complex_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_complex_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_complex_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_complex_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_complex_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_complex_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_complex_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_complex_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_complex_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_complex_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_complex_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_complex_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_complex_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_complex_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_complex_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_complex_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_complex_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_complex_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_complex_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_complex_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_complex_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_complex_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_complex_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_complex_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_complex_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_complex_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_complex_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_complex_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_complex_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_complex_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_complex_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_complex_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_complex_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_complex_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_complex_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_complex_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_lu_factor_ex_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_lu_factor_ex_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_lu_factor_ex_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_lu_factor_ex_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_lu_factor_ex_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_lu_factor_ex_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_lu_factor_ex_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_lu_factor_ex_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_lu_factor_ex_cuda_float32, 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2025-12-04T09:56:29.8813323Z 
2025-12-04T09:56:29.8813664Z Finished inductor/test_torchinductor_opinfo 12/12 ... [2025-12-04 09:56:29.872436][2521.85221072], took 0.28min
2025-12-04T09:56:29.8814759Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-98dbeabfacc21586.xml
2025-12-04T09:56:31.2574180Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-12-04T09:56:31.2575524Z   import pynvml  # type: ignore[import]
2025-12-04T09:58:50.8438849Z 
2025-12-04T09:58:50.8440351Z PRINTING LOG FILE of inductor/test_torchinductor_opinfo 9/12 (test/test-reports/inductor.test_torchinductor_opinfo_9.12_6bac42cd6fe2ef7e_.log)
2025-12-04T09:58:50.8442527Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-12-04T09:58:50.8444167Z   import pynvml  # type: ignore[import]
2025-12-04T09:58:50.8444950Z Test results will be stored in test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-ce064b265c066eff.xml
2025-12-04T09:58:50.8445703Z ============================= test session starts ==============================
2025-12-04T09:58:50.8446224Z platform linux -- Python 3.10.14, pytest-9.0.1, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python
2025-12-04T09:58:50.8446692Z cachedir: .pytest_cache
2025-12-04T09:58:50.8447279Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow]
2025-12-04T09:58:50.8448586Z benchmark: 5.2.3 (defaults: timer=time.perf_counter disable_gc=False min_rounds=5 min_time=0.000005 max_time=1.0 calibration_precision=10 warmup=False warmup_iterations=100000)
2025-12-04T09:58:50.8449495Z rootdir: /var/lib/jenkins/workspace
2025-12-04T09:58:50.8449894Z configfile: pytest.ini
2025-12-04T09:58:50.8450663Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, hydra-core-1.3.2, benchmark-5.2.3, typeguard-4.4.4
2025-12-04T09:58:50.8451399Z collecting ... collected 3575 items
2025-12-04T09:58:50.8451829Z stepcurrent: Cannot find last run test, not skipping
2025-12-04T09:58:50.8504494Z Running 100 items in this shard: test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16, 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test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32
2025-12-04T09:58:50.8550278Z 
2025-12-04T09:58:50.8550831Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16 PASSED [5.0646s] [  1%]
2025-12-04T09:58:50.8551914Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32 SKIPPED [0.0007s]o only disabled tests
2025-12-04T09:58:50.8552612Z are run)                                                                 [  2%]
2025-12-04T09:58:50.8553356Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16 FAILED [4.6617s] [  2%]
2025-12-04T09:58:50.8554456Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16 PASSED [3.6169s] [  2%]
2025-12-04T09:58:50.8555562Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16 PASSED [3.1821s] [  2%]
2025-12-04T09:58:50.8556671Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16 PASSED [3.0421s] [  2%]
2025-12-04T09:58:50.8557975Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16 FAILED [3.3610s] [  2%]
2025-12-04T09:58:50.8559079Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16 PASSED [2.9996s] [  2%]
2025-12-04T09:58:50.8560175Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16 FAILED [3.0079s] [  2%]
2025-12-04T09:58:50.8561280Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16 PASSED [3.2976s] [  2%]
2025-12-04T09:58:50.8562381Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16 FAILED [3.0100s] [  2%]
2025-12-04T09:58:50.8563488Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16 FAILED [3.0063s] [  2%]
2025-12-04T09:58:50.8564678Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16 FAILED [3.0071s] [  2%]
2025-12-04T09:58:50.8565782Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16 FAILED [3.3386s] [  2%]
2025-12-04T09:58:50.8566883Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16 FAILED [3.0360s] [  2%]
2025-12-04T09:58:50.8567986Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16 PASSED [3.0150s] [  2%]
2025-12-04T09:58:50.8569096Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16 FAILED [3.3229s] [  2%]
2025-12-04T09:58:50.8570199Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16 PASSED [3.0108s] [  2%]
2025-12-04T09:58:50.8571309Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16 FAILED [2.7640s] [  2%]
2025-12-04T09:58:50.8572412Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16 FAILED [2.7547s] [  2%]
2025-12-04T09:58:50.8573514Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16 PASSED [3.3681s] [  2%]
2025-12-04T09:58:50.8574611Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16 FAILED [3.0243s] [  2%]
2025-12-04T09:58:50.8575716Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16 PASSED [3.0398s] [  2%]
2025-12-04T09:58:50.8576820Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16 FAILED [2.7810s] [  2%]
2025-12-04T09:58:50.8577927Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16 FAILED [3.1238s] [  2%]
2025-12-04T09:58:50.8579021Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16 PASSED [3.0302s] [  2%]
2025-12-04T09:58:50.8580546Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16 FAILED [2.8867s] [  2%]
2025-12-04T09:58:50.8581647Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16 FAILED [2.7676s] [  2%]
2025-12-04T09:58:50.8582841Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16 PASSED [3.5071s] [  2%]
2025-12-04T09:58:50.8583945Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16 PASSED [3.2552s] [  2%]
2025-12-04T09:58:50.8585136Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16 PASSED [3.2808s] [  2%]
2025-12-04T09:58:50.8586266Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16 FAILED [2.7667s] [  2%]
2025-12-04T09:58:50.8587382Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16 FAILED [3.1563s] [  2%]
2025-12-04T09:58:50.8588493Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16 PASSED [3.0289s] [  2%]
2025-12-04T09:58:50.8589614Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16 FAILED [2.8862s] [  2%]
2025-12-04T09:58:50.8590819Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16 PASSED [3.1473s] [  2%]
2025-12-04T09:58:50.8591935Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16 FAILED [3.0183s] [  2%]
2025-12-04T09:58:50.8593160Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16 FAILED [3.1623s] [  2%]
2025-12-04T09:58:50.8594280Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16 PASSED [3.0382s] [  2%]
2025-12-04T09:58:50.8595392Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16 FAILED [3.0286s] [  2%]
2025-12-04T09:58:50.8596524Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16 PASSED [3.0141s] [  2%]
2025-12-04T09:58:50.8597900Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16 FAILED [3.4307s] [  2%]
2025-12-04T09:58:50.8599014Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16 PASSED [3.0391s] [  2%]
2025-12-04T09:58:50.8600123Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16 FAILED [3.1337s] [  2%]
2025-12-04T09:58:50.8601235Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16 FAILED [2.7497s] [  2%]
2025-12-04T09:58:50.8602859Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16 PASSED [3.4372s] [  2%]
2025-12-04T09:58:50.8603992Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16 FAILED [2.7622s] [  2%]
2025-12-04T09:58:50.8605107Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16 PASSED [3.1367s] [  2%]
2025-12-04T09:58:50.8606216Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16 PASSED [3.0030s] [  2%]
2025-12-04T09:58:50.8607327Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16 PASSED [3.4550s] [  2%]
2025-12-04T09:58:50.8608441Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16 FAILED [3.0174s] [  2%]
2025-12-04T09:58:50.8609876Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32 SKIPPED [0.0007s]o only disabled tests
2025-12-04T09:58:50.8610563Z are run)                                                                 [  2%]
2025-12-04T09:58:50.8611254Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32 SKIPPED [0.0006s]o only disabled tests
2025-12-04T09:58:50.8611937Z are run)                                                                 [  2%]
2025-12-04T09:58:50.8612624Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32 SKIPPED [0.0006s]o only disabled tests
2025-12-04T09:58:50.8613300Z are run)                                                                 [  2%]
2025-12-04T09:58:50.8613988Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32 SKIPPED [0.0006s]o only disabled tests
2025-12-04T09:58:50.8614684Z are run)                                                                 [  2%]
2025-12-04T09:58:50.8615536Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32 SKIPPED [0.0006s]o only disabled tests
2025-12-04T09:58:50.8616453Z are run)                                                                 [  2%]
2025-12-04T09:58:50.8617292Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32 SKIPPED [0.0006s]o only disabled tests
2025-12-04T09:58:50.8617982Z are run)                                                                 [  2%]
2025-12-04T09:58:50.8618674Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32 SKIPPED [0.0011s]o only disabled tests
2025-12-04T09:58:50.8619351Z are run)                                                                 [  2%]
2025-12-04T09:58:50.8620047Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32 SKIPPED [0.0006s]o only disabled tests
2025-12-04T09:58:50.8620734Z are run)                                                                 [  2%]
2025-12-04T09:58:50.8621428Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32 SKIPPED [0.0006s]o only disabled tests
2025-12-04T09:58:50.8622110Z are run)                                                                 [  2%]
2025-12-04T09:58:50.8622796Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32 SKIPPED [0.0006s]o only disabled tests
2025-12-04T09:58:50.8623478Z are run)                                                                 [  2%]
2025-12-04T09:58:50.8624159Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32 SKIPPED [0.0007s]o only disabled tests
2025-12-04T09:58:50.8624845Z are run)                                                                 [  2%]
2025-12-04T09:58:50.8625626Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32 SKIPPED [0.0006s]o only disabled tests
2025-12-04T09:58:50.8626308Z are run)                                                                 [  2%]
2025-12-04T09:58:50.8626984Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32 SKIPPED [0.0006s]o only disabled tests
2025-12-04T09:58:50.8627665Z are run)                                                                 [  2%]
2025-12-04T09:58:50.8628345Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32 SKIPPED [0.0006s]o only disabled tests
2025-12-04T09:58:50.8629023Z are run)                                                                 [  2%]
2025-12-04T09:58:50.8629698Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32 SKIPPED [0.0006s]o only disabled tests
2025-12-04T09:58:50.8630498Z are run)                                                                 [  2%]
2025-12-04T09:58:50.8631183Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32 SKIPPED [0.0006s]o only disabled tests
2025-12-04T09:58:50.8631856Z are run)                                                                 [  2%]
2025-12-04T09:58:50.8632529Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32 SKIPPED [0.0006s]o only disabled tests
2025-12-04T09:58:50.8633202Z are run)                                                                 [  2%]
2025-12-04T09:58:50.8633883Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32 SKIPPED [0.0006s]o only disabled tests
2025-12-04T09:58:50.8634563Z are run)                                                                 [  2%]
2025-12-04T09:58:50.8635244Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32 SKIPPED [0.0006s]o only disabled tests
2025-12-04T09:58:50.8635917Z are run)                                                                 [  2%]
2025-12-04T09:58:50.8636733Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32 SKIPPED [0.0006s]o only disabled tests
2025-12-04T09:58:50.8637412Z are run)                                                                 [  2%]
2025-12-04T09:58:50.8638084Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32 SKIPPED [0.0006s]o only disabled tests
2025-12-04T09:58:50.8638758Z are run)                                                                 [  2%]
2025-12-04T09:58:50.8639435Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32 SKIPPED [0.0006s]o only disabled tests
2025-12-04T09:58:50.8640109Z are run)                                                                 [  2%]
2025-12-04T09:58:50.8640785Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32 SKIPPED [0.0006s]o only disabled tests
2025-12-04T09:58:50.8641467Z are run)                                                                 [  2%]
2025-12-04T09:58:50.8642144Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32 SKIPPED [0.0006s]o only disabled tests
2025-12-04T09:58:50.8642817Z are run)                                                                 [  2%]
2025-12-04T09:58:50.8643496Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32 SKIPPED [0.0006s]o only disabled tests
2025-12-04T09:58:50.8644173Z are run)                                                                 [  2%]
2025-12-04T09:58:50.8644849Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32 SKIPPED [0.0007s]o only disabled tests
2025-12-04T09:58:50.8645527Z are run)                                                                 [  2%]
2025-12-04T09:58:50.8646204Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32 SKIPPED [0.0006s]o only disabled tests
2025-12-04T09:58:50.8646885Z are run)                                                                 [  2%]
2025-12-04T09:58:50.8647564Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32 SKIPPED [0.0006s]o only disabled tests
2025-12-04T09:58:50.8648234Z are run)                                                                 [  2%]
2025-12-04T09:58:50.8648966Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32 SKIPPED [0.0006s]o only disabled tests
2025-12-04T09:58:50.8649640Z are run)                                                                 [  2%]
2025-12-04T09:58:50.8650321Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32 SKIPPED [0.0006s]o only disabled tests
2025-12-04T09:58:50.8651084Z are run)                                                                 [  2%]
2025-12-04T09:58:50.8651771Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32 SKIPPED [0.0006s]o only disabled tests
2025-12-04T09:58:50.8652456Z are run)                                                                 [  2%]
2025-12-04T09:58:50.8653127Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32 SKIPPED [0.0006s]o only disabled tests
2025-12-04T09:58:50.8653798Z are run)                                                                 [  2%]
2025-12-04T09:58:50.8654476Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32 SKIPPED [0.0006s]o only disabled tests
2025-12-04T09:58:50.8655149Z are run)                                                                 [  2%]
2025-12-04T09:58:50.8655827Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32 SKIPPED [0.0006s]o only disabled tests
2025-12-04T09:58:50.8656499Z are run)                                                                 [  2%]
2025-12-04T09:58:50.8657269Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32 SKIPPED [0.0006s]o only disabled tests
2025-12-04T09:58:50.8657944Z are run)                                                                 [  2%]
2025-12-04T09:58:50.8658674Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32 SKIPPED [0.0006s]o only disabled tests
2025-12-04T09:58:50.8659350Z are run)                                                                 [  2%]
2025-12-04T09:58:50.8660029Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32 SKIPPED [0.0006s]o only disabled tests
2025-12-04T09:58:50.8660705Z are run)                                                                 [  2%]
2025-12-04T09:58:50.8661382Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32 SKIPPED [0.0006s]o only disabled tests
2025-12-04T09:58:50.8662061Z are run)                                                                 [  2%]
2025-12-04T09:58:50.8662741Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32 SKIPPED [0.0006s]o only disabled tests
2025-12-04T09:58:50.8663408Z are run)                                                                 [  2%]
2025-12-04T09:58:50.8664087Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32 SKIPPED [0.0006s]o only disabled tests
2025-12-04T09:58:50.8664761Z are run)                                                                 [  2%]
2025-12-04T09:58:50.8665635Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32 SKIPPED [0.0006s]o only disabled tests
2025-12-04T09:58:50.8666310Z are run)                                                                 [  2%]
2025-12-04T09:58:50.8666993Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32 SKIPPED [0.0006s]o only disabled tests
2025-12-04T09:58:50.8667713Z are run)                                                                 [  2%]
2025-12-04T09:58:50.8668390Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32 SKIPPED [0.0006s]o only disabled tests
2025-12-04T09:58:50.8669058Z are run)                                                                 [  2%]
2025-12-04T09:58:50.8669738Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32 SKIPPED [0.0006s]o only disabled tests
2025-12-04T09:58:50.8670411Z are run)                                                                 [  2%]
2025-12-04T09:58:50.8671182Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32 SKIPPED [0.0008s]o only disabled tests
2025-12-04T09:58:50.8671847Z are run)                                                                 [  2%]
2025-12-04T09:58:50.8672525Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32 SKIPPED [0.0006s]o only disabled tests
2025-12-04T09:58:50.8673197Z are run)                                                                 [  2%]
2025-12-04T09:58:50.8673875Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32 SKIPPED [0.0006s]o only disabled tests
2025-12-04T09:58:50.8674538Z are run)                                                                 [  2%]
2025-12-04T09:58:50.8675216Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32 SKIPPED [0.0006s]o only disabled tests
2025-12-04T09:58:50.8675896Z are run)                                                                 [  2%]
2025-12-04T09:58:50.8676570Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float32 SKIPPED [0.0006s]o only disabled tests
2025-12-04T09:58:50.8677323Z are run)                                                                 [  2%]
2025-12-04T09:58:50.8677563Z 
2025-12-04T09:58:50.8677687Z =================================== FAILURES ===================================
2025-12-04T09:58:50.8678214Z _ TestInductorOpInfoCUDA.test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16 _
2025-12-04T09:58:50.8678721Z Traceback (most recent call last):
2025-12-04T09:58:50.8679352Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1151, in test_wrapper
2025-12-04T09:58:50.8679973Z     return test(*args, **kwargs)
2025-12-04T09:58:50.8680557Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1473, in only_fn
2025-12-04T09:58:50.8681154Z     return fn(self, *args, **kwargs)
2025-12-04T09:58:50.8681723Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 2464, in wrapper
2025-12-04T09:58:50.8682291Z     fn(*args, **kwargs)
2025-12-04T09:58:50.8682839Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1231, in dep_fn
2025-12-04T09:58:50.8683429Z     return fn(slf, *args, **kwargs)
2025-12-04T09:58:50.8684016Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1231, in dep_fn
2025-12-04T09:58:50.8684610Z     return fn(slf, *args, **kwargs)
2025-12-04T09:58:50.8685170Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1736, in wrapper
2025-12-04T09:58:50.8685736Z     fn(*args, **kwargs)
2025-12-04T09:58:50.8686263Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1647, in wrapper
2025-12-04T09:58:50.8686836Z     fn(*args, **kwargs)
2025-12-04T09:58:50.8687209Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/mock.py", line 1379, in patched
2025-12-04T09:58:50.8687661Z     return func(*newargs, **newkeywargs)
2025-12-04T09:58:50.8688074Z   File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
2025-12-04T09:58:50.8688484Z     return func(*args, **kwds)
2025-12-04T09:58:50.8688867Z   File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
2025-12-04T09:58:50.8689273Z     return func(*args, **kwds)
2025-12-04T09:58:50.8689650Z   File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
2025-12-04T09:58:50.8690051Z     return func(*args, **kwds)
2025-12-04T09:58:50.8690556Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py", line 1121, in inner
2025-12-04T09:58:50.8705177Z     raise e
2025-12-04T09:58:50.8705937Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py", line 1113, in inner
2025-12-04T09:58:50.8706460Z     fn(self, device, dtype, op)
2025-12-04T09:58:50.8707031Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py", line 1378, in test_comprehensive
2025-12-04T09:58:50.8707592Z     raise e
2025-12-04T09:58:50.8708216Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py", line 1353, in test_comprehensive
2025-12-04T09:58:50.8709011Z     self.check_model_gpu(
2025-12-04T09:58:50.8709517Z   File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
2025-12-04T09:58:50.8710063Z     return func(*args, **kwds)
2025-12-04T09:58:50.8710718Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 692, in check_model_gpu
2025-12-04T09:58:50.8711483Z     check_model(
2025-12-04T09:58:50.8712161Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 647, in check_model
2025-12-04T09:58:50.8712914Z     self.assertEqual(
2025-12-04T09:58:50.8713680Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual
2025-12-04T09:58:50.8714567Z     return super().assertEqual(x, y, *args, **kwargs)
2025-12-04T09:58:50.8715827Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T09:58:50.8716881Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T09:58:50.8717483Z AssertionError: Tensor-likes are not close!
2025-12-04T09:58:50.8717860Z 
2025-12-04T09:58:50.8718013Z Mismatched elements: 1 / 96 (1.0%)
2025-12-04T09:58:50.8718703Z Greatest absolute difference: 3.814697265625e-05 at index (0, 7, 0, 1) (up to 1e-05 allowed)
2025-12-04T09:58:50.8719756Z Greatest relative difference: 0.0026721954345703125 at index (0, 7, 0, 1) (up to 0.001 allowed)
2025-12-04T09:58:50.8720363Z 
2025-12-04T09:58:50.8720533Z The failure occurred for item [0]
2025-12-04T09:58:50.8720815Z 
2025-12-04T09:58:50.8721132Z The above exception was the direct cause of the following exception:
2025-12-04T09:58:50.8721591Z 
2025-12-04T09:58:50.8721740Z Traceback (most recent call last):
2025-12-04T09:58:50.8722477Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 59, in testPartExecutor
2025-12-04T09:58:50.8723183Z     yield
2025-12-04T09:58:50.8723555Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 591, in run
2025-12-04T09:58:50.8723973Z     self._callTestMethod(testMethod)
2025-12-04T09:58:50.8724433Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 549, in _callTestMethod
2025-12-04T09:58:50.8724867Z     method()
2025-12-04T09:58:50.8725378Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper
2025-12-04T09:58:50.8725948Z     method(*args, **kwargs)
2025-12-04T09:58:50.8726490Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper
2025-12-04T09:58:50.8727060Z     method(*args, **kwargs)
2025-12-04T09:58:50.8727658Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 428, in instantiated_test
2025-12-04T09:58:50.8728296Z     result = test(self, **param_kwargs)
2025-12-04T09:58:50.8728872Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1736, in wrapper
2025-12-04T09:58:50.8729424Z     fn(*args, **kwargs)
2025-12-04T09:58:50.8729989Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1163, in test_wrapper
2025-12-04T09:58:50.8730593Z     raise e_tracked from e
2025-12-04T09:58:50.8730854Z Exception: Tensor-likes are not close!
2025-12-04T09:58:50.8731051Z 
2025-12-04T09:58:50.8731145Z Mismatched elements: 1 / 96 (1.0%)
2025-12-04T09:58:50.8731795Z Greatest absolute difference: 3.814697265625e-05 at index (0, 7, 0, 1) (up to 1e-05 allowed)
2025-12-04T09:58:50.8732428Z Greatest relative difference: 0.0026721954345703125 at index (0, 7, 0, 1) (up to 0.001 allowed)
2025-12-04T09:58:50.8732794Z 
2025-12-04T09:58:50.8732889Z The failure occurred for item [0]
2025-12-04T09:58:50.8733079Z 
2025-12-04T09:58:50.8733555Z Caused by sample input at index 8: SampleInput(input=Tensor[size=(1, 8, 4, 3), device="cuda:0", dtype=torch.float16], args=(5), kwargs={}, broadcasts_input=False, name='')
2025-12-04T09:58:50.8734123Z 
2025-12-04T09:58:50.8734299Z To execute this test, run the following from the base repo dir:
2025-12-04T09:58:50.8735168Z     PYTORCH_OPINFO_SAMPLE_INPUT_INDEX=8 python test/inductor/test_torchinductor_opinfo.py TestInductorOpInfoCUDA.test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16
2025-12-04T09:58:50.8735859Z 
2025-12-04T09:58:50.8736074Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T09:58:50.8736677Z _ TestInductorOpInfoCUDA.test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16 _
2025-12-04T09:58:50.8737178Z Traceback (most recent call last):
2025-12-04T09:58:50.8737905Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1151, in test_wrapper
2025-12-04T09:58:50.8738521Z     return test(*args, **kwargs)
2025-12-04T09:58:50.8739099Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1473, in only_fn
2025-12-04T09:58:50.8739695Z     return fn(self, *args, **kwargs)
2025-12-04T09:58:50.8740263Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 2464, in wrapper
2025-12-04T09:58:50.8740817Z     fn(*args, **kwargs)
2025-12-04T09:58:50.8741360Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1231, in dep_fn
2025-12-04T09:58:50.8741950Z     return fn(slf, *args, **kwargs)
2025-12-04T09:58:50.8742528Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1231, in dep_fn
2025-12-04T09:58:50.8743117Z     return fn(slf, *args, **kwargs)
2025-12-04T09:58:50.8743694Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1736, in wrapper
2025-12-04T09:58:50.8744245Z     fn(*args, **kwargs)
2025-12-04T09:58:50.8744767Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1647, in wrapper
2025-12-04T09:58:50.8745515Z     fn(*args, **kwargs)
2025-12-04T09:58:50.8745898Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/mock.py", line 1379, in patched
2025-12-04T09:58:50.8746335Z     return func(*newargs, **newkeywargs)
2025-12-04T09:58:50.8746746Z   File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
2025-12-04T09:58:50.8747152Z     return func(*args, **kwds)
2025-12-04T09:58:50.8747531Z   File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
2025-12-04T09:58:50.8747943Z     return func(*args, **kwds)
2025-12-04T09:58:50.8748317Z   File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
2025-12-04T09:58:50.8748726Z     return func(*args, **kwds)
2025-12-04T09:58:50.8749200Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py", line 1121, in inner
2025-12-04T09:58:50.8749688Z     raise e
2025-12-04T09:58:50.8750115Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py", line 1113, in inner
2025-12-04T09:58:50.8750615Z     fn(self, device, dtype, op)
2025-12-04T09:58:50.8751156Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py", line 1378, in test_comprehensive
2025-12-04T09:58:50.8751698Z     raise e
2025-12-04T09:58:50.8752172Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py", line 1353, in test_comprehensive
2025-12-04T09:58:50.8752953Z     self.check_model_gpu(
2025-12-04T09:58:50.8753326Z   File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
2025-12-04T09:58:50.8753732Z     return func(*args, **kwds)
2025-12-04T09:58:50.8754223Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 692, in check_model_gpu
2025-12-04T09:58:50.8754727Z     check_model(
2025-12-04T09:58:50.8755160Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 647, in check_model
2025-12-04T09:58:50.8755641Z     self.assertEqual(
2025-12-04T09:58:50.8756139Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual
2025-12-04T09:58:50.8756715Z     return super().assertEqual(x, y, *args, **kwargs)
2025-12-04T09:58:50.8757346Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T09:58:50.8758051Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T09:58:50.8758435Z AssertionError: Tensor-likes are not close!
2025-12-04T09:58:50.8758642Z 
2025-12-04T09:58:50.8758745Z Mismatched elements: 1 / 96 (1.0%)
2025-12-04T09:58:50.8759277Z Greatest absolute difference: 3.814697265625e-05 at index (7, 0, 1) (up to 1e-05 allowed)
2025-12-04T09:58:50.8759895Z Greatest relative difference: 0.0026721954345703125 at index (7, 0, 1) (up to 0.001 allowed)
2025-12-04T09:58:50.8760263Z 
2025-12-04T09:58:50.8760357Z The failure occurred for item [0]
2025-12-04T09:58:50.8760535Z 
2025-12-04T09:58:50.8760731Z The above exception was the direct cause of the following exception:
2025-12-04T09:58:50.8761017Z 
2025-12-04T09:58:50.8761113Z Traceback (most recent call last):
2025-12-04T09:58:50.8761562Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 59, in testPartExecutor
2025-12-04T09:58:50.8761996Z     yield
2025-12-04T09:58:50.8762327Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 591, in run
2025-12-04T09:58:50.8762745Z     self._callTestMethod(testMethod)
2025-12-04T09:58:50.8763191Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 549, in _callTestMethod
2025-12-04T09:58:50.8763624Z     method()
2025-12-04T09:58:50.8764119Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper
2025-12-04T09:58:50.8764689Z     method(*args, **kwargs)
2025-12-04T09:58:50.8765228Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper
2025-12-04T09:58:50.8765798Z     method(*args, **kwargs)
2025-12-04T09:58:50.8766393Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 428, in instantiated_test
2025-12-04T09:58:50.8767034Z     result = test(self, **param_kwargs)
2025-12-04T09:58:50.8767610Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1736, in wrapper
2025-12-04T09:58:50.8768188Z     fn(*args, **kwargs)
2025-12-04T09:58:50.8768783Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1163, in test_wrapper
2025-12-04T09:58:50.8769394Z     raise e_tracked from e
2025-12-04T09:58:50.8769664Z Exception: Tensor-likes are not close!
2025-12-04T09:58:50.8769860Z 
2025-12-04T09:58:50.8769959Z Mismatched elements: 1 / 96 (1.0%)
2025-12-04T09:58:50.8770391Z Greatest absolute difference: 3.814697265625e-05 at index (7, 0, 1) (up to 1e-05 allowed)
2025-12-04T09:58:50.8771004Z Greatest relative difference: 0.0026721954345703125 at index (7, 0, 1) (up to 0.001 allowed)
2025-12-04T09:58:50.8771361Z 
2025-12-04T09:58:50.8771454Z The failure occurred for item [0]
2025-12-04T09:58:50.8771642Z 
2025-12-04T09:58:50.8772113Z Caused by sample input at index 9: SampleInput(input=Tensor[size=(8, 4, 3), device="cuda:0", dtype=torch.float16], args=(5), kwargs={}, broadcasts_input=False, name='')
2025-12-04T09:58:50.8772772Z 
2025-12-04T09:58:50.8772942Z To execute this test, run the following from the base repo dir:
2025-12-04T09:58:50.8773814Z     PYTORCH_OPINFO_SAMPLE_INPUT_INDEX=9 python test/inductor/test_torchinductor_opinfo.py TestInductorOpInfoCUDA.test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16
2025-12-04T09:58:50.8774504Z 
2025-12-04T09:58:50.8774719Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T09:58:50.8775316Z _ TestInductorOpInfoCUDA.test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16 _
2025-12-04T09:58:50.8775813Z Traceback (most recent call last):
2025-12-04T09:58:50.8776425Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1151, in test_wrapper
2025-12-04T09:58:50.8777034Z     return test(*args, **kwargs)
2025-12-04T09:58:50.8777617Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1473, in only_fn
2025-12-04T09:58:50.8778242Z     return fn(self, *args, **kwargs)
2025-12-04T09:58:50.8778839Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 2464, in wrapper
2025-12-04T09:58:50.8779396Z     fn(*args, **kwargs)
2025-12-04T09:58:50.8780083Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1231, in dep_fn
2025-12-04T09:58:50.8780679Z     return fn(slf, *args, **kwargs)
2025-12-04T09:58:50.8781260Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1231, in dep_fn
2025-12-04T09:58:50.8781840Z     return fn(slf, *args, **kwargs)
2025-12-04T09:58:50.8782404Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1736, in wrapper
2025-12-04T09:58:50.8782963Z     fn(*args, **kwargs)
2025-12-04T09:58:50.8783483Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1647, in wrapper
2025-12-04T09:58:50.8784050Z     fn(*args, **kwargs)
2025-12-04T09:58:50.8784428Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/mock.py", line 1379, in patched
2025-12-04T09:58:50.8784875Z     return func(*newargs, **newkeywargs)
2025-12-04T09:58:50.8785442Z   File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
2025-12-04T09:58:50.8785851Z     return func(*args, **kwds)
2025-12-04T09:58:50.8786234Z   File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
2025-12-04T09:58:50.8786627Z     return func(*args, **kwds)
2025-12-04T09:58:50.8787005Z   File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
2025-12-04T09:58:50.8787402Z     return func(*args, **kwds)
2025-12-04T09:58:50.8787874Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py", line 1121, in inner
2025-12-04T09:58:50.8788363Z     raise e
2025-12-04T09:58:50.8788789Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py", line 1113, in inner
2025-12-04T09:58:50.8789304Z     fn(self, device, dtype, op)
2025-12-04T09:58:50.8789841Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py", line 1378, in test_comprehensive
2025-12-04T09:58:50.8790387Z     raise e
2025-12-04T09:58:50.8790870Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py", line 1353, in test_comprehensive
2025-12-04T09:58:50.8791420Z     self.check_model_gpu(
2025-12-04T09:58:50.8791795Z   File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
2025-12-04T09:58:50.8792197Z     return func(*args, **kwds)
2025-12-04T09:58:50.8792697Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 692, in check_model_gpu
2025-12-04T09:58:50.8793191Z     check_model(
2025-12-04T09:58:50.8793633Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 647, in check_model
2025-12-04T09:58:50.8794244Z     self.assertEqual(
2025-12-04T09:58:50.8794737Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual
2025-12-04T09:58:50.8795328Z     return super().assertEqual(x, y, *args, **kwargs)
2025-12-04T09:58:50.8795975Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T09:58:50.8796651Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T09:58:50.8797024Z AssertionError: Tensor-likes are not close!
2025-12-04T09:58:50.8797250Z 
2025-12-04T09:58:50.8797349Z Mismatched elements: 1 / 96 (1.0%)
2025-12-04T09:58:50.8797844Z Greatest absolute difference: 3.814697265625e-05 at index (7, 0, 1) (up to 1e-05 allowed)
2025-12-04T09:58:50.8798456Z Greatest relative difference: 0.0026721954345703125 at index (7, 0, 1) (up to 0.001 allowed)
2025-12-04T09:58:50.8798831Z 
2025-12-04T09:58:50.8798930Z The failure occurred for item [0]
2025-12-04T09:58:50.8799129Z 
2025-12-04T09:58:50.8799321Z The above exception was the direct cause of the following exception:
2025-12-04T09:58:50.8799612Z 
2025-12-04T09:58:50.8799720Z Traceback (most recent call last):
2025-12-04T09:58:50.8800260Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 59, in testPartExecutor
2025-12-04T09:58:50.8800711Z     yield
2025-12-04T09:58:50.8801055Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 591, in run
2025-12-04T09:58:50.8801478Z     self._callTestMethod(testMethod)
2025-12-04T09:58:50.8801944Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 549, in _callTestMethod
2025-12-04T09:58:50.8802794Z     method()
2025-12-04T09:58:50.8803353Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper
2025-12-04T09:58:50.8803928Z     method(*args, **kwargs)
2025-12-04T09:58:50.8804472Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper
2025-12-04T09:58:50.8805048Z     method(*args, **kwargs)
2025-12-04T09:58:50.8805642Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 428, in instantiated_test
2025-12-04T09:58:50.8806304Z     result = test(self, **param_kwargs)
2025-12-04T09:58:50.8806889Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1736, in wrapper
2025-12-04T09:58:50.8807465Z     fn(*args, **kwargs)
2025-12-04T09:58:50.8808042Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1163, in test_wrapper
2025-12-04T09:58:50.8808659Z     raise e_tracked from e
2025-12-04T09:58:50.8808929Z Exception: Tensor-likes are not close!
2025-12-04T09:58:50.8809125Z 
2025-12-04T09:58:50.8809221Z Mismatched elements: 1 / 96 (1.0%)
2025-12-04T09:58:50.8809654Z Greatest absolute difference: 3.814697265625e-05 at index (7, 0, 1) (up to 1e-05 allowed)
2025-12-04T09:58:50.8810270Z Greatest relative difference: 0.0026721954345703125 at index (7, 0, 1) (up to 0.001 allowed)
2025-12-04T09:58:50.8810627Z 
2025-12-04T09:58:50.8810727Z The failure occurred for item [0]
2025-12-04T09:58:50.8810906Z 
2025-12-04T09:58:50.8811377Z Caused by sample input at index 9: SampleInput(input=Tensor[size=(8, 4, 3), device="cuda:0", dtype=torch.float16], args=(5), kwargs={}, broadcasts_input=False, name='')
2025-12-04T09:58:50.8811939Z 
2025-12-04T09:58:50.8812109Z To execute this test, run the following from the base repo dir:
2025-12-04T09:58:50.8812971Z     PYTORCH_OPINFO_SAMPLE_INPUT_INDEX=9 python test/inductor/test_torchinductor_opinfo.py TestInductorOpInfoCUDA.test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16
2025-12-04T09:58:50.8813665Z 
2025-12-04T09:58:50.8813875Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T09:58:50.8814471Z _ TestInductorOpInfoCUDA.test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16 _
2025-12-04T09:58:50.8815208Z Traceback (most recent call last):
2025-12-04T09:58:50.8815818Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1151, in test_wrapper
2025-12-04T09:58:50.8816435Z     return test(*args, **kwargs)
2025-12-04T09:58:50.8817005Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1473, in only_fn
2025-12-04T09:58:50.8817604Z     return fn(self, *args, **kwargs)
2025-12-04T09:58:50.8818170Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 2464, in wrapper
2025-12-04T09:58:50.8818732Z     fn(*args, **kwargs)
2025-12-04T09:58:50.8819269Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1231, in dep_fn
2025-12-04T09:58:50.8819860Z     return fn(slf, *args, **kwargs)
2025-12-04T09:58:50.8820448Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1231, in dep_fn
2025-12-04T09:58:50.8821032Z     return fn(slf, *args, **kwargs)
2025-12-04T09:58:50.8821733Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1736, in wrapper
2025-12-04T09:58:50.8822298Z     fn(*args, **kwargs)
2025-12-04T09:58:50.8822823Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1647, in wrapper
2025-12-04T09:58:50.8823382Z     fn(*args, **kwargs)
2025-12-04T09:58:50.8823759Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/mock.py", line 1379, in patched
2025-12-04T09:58:50.8824204Z     return func(*newargs, **newkeywargs)
2025-12-04T09:58:50.8824609Z   File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
2025-12-04T09:58:50.8825016Z     return func(*args, **kwds)
2025-12-04T09:58:50.8825522Z   File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
2025-12-04T09:58:50.8825934Z     return func(*args, **kwds)
2025-12-04T09:58:50.8826306Z   File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
2025-12-04T09:58:50.8826710Z     return func(*args, **kwds)
2025-12-04T09:58:50.8827198Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py", line 1121, in inner
2025-12-04T09:58:50.8827683Z     raise e
2025-12-04T09:58:50.8828109Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py", line 1113, in inner
2025-12-04T09:58:50.8828613Z     fn(self, device, dtype, op)
2025-12-04T09:58:50.8829148Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py", line 1378, in test_comprehensive
2025-12-04T09:58:50.8829693Z     raise e
2025-12-04T09:58:50.8830175Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py", line 1353, in test_comprehensive
2025-12-04T09:58:50.8830735Z     self.check_model_gpu(
2025-12-04T09:58:50.8831105Z   File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
2025-12-04T09:58:50.8831511Z     return func(*args, **kwds)
2025-12-04T09:58:50.8832003Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 692, in check_model_gpu
2025-12-04T09:58:50.8832506Z     check_model(
2025-12-04T09:58:50.8832941Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 647, in check_model
2025-12-04T09:58:50.8833434Z     self.assertEqual(
2025-12-04T09:58:50.8833929Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual
2025-12-04T09:58:50.8834501Z     return super().assertEqual(x, y, *args, **kwargs)
2025-12-04T09:58:50.8835138Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T09:58:50.8835805Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T09:58:50.8836279Z AssertionError: Tensor-likes are not close!
2025-12-04T09:58:50.8836495Z 
2025-12-04T09:58:50.8836593Z Mismatched elements: 1 / 96 (1.0%)
2025-12-04T09:58:50.8837026Z Greatest absolute difference: 3.814697265625e-05 at index (7, 0, 1) (up to 1e-05 allowed)
2025-12-04T09:58:50.8837646Z Greatest relative difference: 0.0026721954345703125 at index (7, 0, 1) (up to 0.001 allowed)
2025-12-04T09:58:50.8838005Z 
2025-12-04T09:58:50.8838102Z The failure occurred for item [0]
2025-12-04T09:58:50.8838287Z 
2025-12-04T09:58:50.8838477Z The above exception was the direct cause of the following exception:
2025-12-04T09:58:50.8838764Z 
2025-12-04T09:58:50.8838875Z Traceback (most recent call last):
2025-12-04T09:58:50.8839327Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 59, in testPartExecutor
2025-12-04T09:58:50.8839762Z     yield
2025-12-04T09:58:50.8840095Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 591, in run
2025-12-04T09:58:50.8840520Z     self._callTestMethod(testMethod)
2025-12-04T09:58:50.8840973Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 549, in _callTestMethod
2025-12-04T09:58:50.8841410Z     method()
2025-12-04T09:58:50.8842009Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper
2025-12-04T09:58:50.8842583Z     method(*args, **kwargs)
2025-12-04T09:58:50.8843116Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper
2025-12-04T09:58:50.8843684Z     method(*args, **kwargs)
2025-12-04T09:58:50.8844280Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 428, in instantiated_test
2025-12-04T09:58:50.8844920Z     result = test(self, **param_kwargs)
2025-12-04T09:58:50.8845491Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1736, in wrapper
2025-12-04T09:58:50.8846055Z     fn(*args, **kwargs)
2025-12-04T09:58:50.8846617Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1163, in test_wrapper
2025-12-04T09:58:50.8847214Z     raise e_tracked from e
2025-12-04T09:58:50.8847476Z Exception: Tensor-likes are not close!
2025-12-04T09:58:50.8847669Z 
2025-12-04T09:58:50.8847768Z Mismatched elements: 1 / 96 (1.0%)
2025-12-04T09:58:50.8848187Z Greatest absolute difference: 3.814697265625e-05 at index (7, 0, 1) (up to 1e-05 allowed)
2025-12-04T09:58:50.8848798Z Greatest relative difference: 0.0026721954345703125 at index (7, 0, 1) (up to 0.001 allowed)
2025-12-04T09:58:50.8849161Z 
2025-12-04T09:58:50.8849255Z The failure occurred for item [0]
2025-12-04T09:58:50.8849430Z 
2025-12-04T09:58:50.8849905Z Caused by sample input at index 9: SampleInput(input=Tensor[size=(8, 4, 3), device="cuda:0", dtype=torch.float16], args=(5), kwargs={}, broadcasts_input=False, name='')
2025-12-04T09:58:50.8850463Z 
2025-12-04T09:58:50.8850636Z To execute this test, run the following from the base repo dir:
2025-12-04T09:58:50.8851499Z     PYTORCH_OPINFO_SAMPLE_INPUT_INDEX=9 python test/inductor/test_torchinductor_opinfo.py TestInductorOpInfoCUDA.test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16
2025-12-04T09:58:50.8852205Z 
2025-12-04T09:58:50.8852414Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T09:58:50.8853012Z _ TestInductorOpInfoCUDA.test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16 _
2025-12-04T09:58:50.8853497Z Traceback (most recent call last):
2025-12-04T09:58:50.8854115Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1151, in test_wrapper
2025-12-04T09:58:50.8854729Z     return test(*args, **kwargs)
2025-12-04T09:58:50.8855307Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1473, in only_fn
2025-12-04T09:58:50.8855898Z     return fn(self, *args, **kwargs)
2025-12-04T09:58:50.8856611Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 2464, in wrapper
2025-12-04T09:58:50.8857170Z     fn(*args, **kwargs)
2025-12-04T09:58:50.8857713Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1231, in dep_fn
2025-12-04T09:58:50.8858345Z     return fn(slf, *args, **kwargs)
2025-12-04T09:58:50.8858937Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1231, in dep_fn
2025-12-04T09:58:50.8859523Z     return fn(slf, *args, **kwargs)
2025-12-04T09:58:50.8860075Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1736, in wrapper
2025-12-04T09:58:50.8860631Z     fn(*args, **kwargs)
2025-12-04T09:58:50.8861155Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1647, in wrapper
2025-12-04T09:58:50.8861719Z     fn(*args, **kwargs)
2025-12-04T09:58:50.8862087Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/mock.py", line 1379, in patched
2025-12-04T09:58:50.8862526Z     return func(*newargs, **newkeywargs)
2025-12-04T09:58:50.8863023Z   File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
2025-12-04T09:58:50.8863420Z     return func(*args, **kwds)
2025-12-04T09:58:50.8863793Z   File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
2025-12-04T09:58:50.8864193Z     return func(*args, **kwds)
2025-12-04T09:58:50.8864557Z   File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
2025-12-04T09:58:50.8864956Z     return func(*args, **kwds)
2025-12-04T09:58:50.8865615Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py", line 1121, in inner
2025-12-04T09:58:50.8866102Z     raise e
2025-12-04T09:58:50.8866522Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py", line 1113, in inner
2025-12-04T09:58:50.8867127Z     fn(self, device, dtype, op)
2025-12-04T09:58:50.8867845Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py", line 1378, in test_comprehensive
2025-12-04T09:58:50.8868516Z     raise e
2025-12-04T09:58:50.8869017Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py", line 1353, in test_comprehensive
2025-12-04T09:58:50.8869571Z     self.check_model_gpu(
2025-12-04T09:58:50.8869938Z   File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
2025-12-04T09:58:50.8870329Z     return func(*args, **kwds)
2025-12-04T09:58:50.8870812Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 692, in check_model_gpu
2025-12-04T09:58:50.8871306Z     check_model(
2025-12-04T09:58:50.8871727Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 647, in check_model
2025-12-04T09:58:50.8872211Z     self.assertEqual(
2025-12-04T09:58:50.8872704Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual
2025-12-04T09:58:50.8873273Z     return super().assertEqual(x, y, *args, **kwargs)
2025-12-04T09:58:50.8873900Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T09:58:50.8874564Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T09:58:50.8874935Z AssertionError: Tensor-likes are not close!
2025-12-04T09:58:50.8875142Z 
2025-12-04T09:58:50.8875235Z Mismatched elements: 1 / 96 (1.0%)
2025-12-04T09:58:50.8875663Z Greatest absolute difference: 2.288818359375e-05 at index (2, 0, 1) (up to 1e-05 allowed)
2025-12-04T09:58:50.8876271Z Greatest relative difference: 0.0022182464599609375 at index (2, 0, 1) (up to 0.001 allowed)
2025-12-04T09:58:50.8876630Z 
2025-12-04T09:58:50.8876722Z The failure occurred for item [0]
2025-12-04T09:58:50.8876904Z 
2025-12-04T09:58:50.8877220Z The above exception was the direct cause of the following exception:
2025-12-04T09:58:50.8877511Z 
2025-12-04T09:58:50.8877606Z Traceback (most recent call last):
2025-12-04T09:58:50.8878050Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 59, in testPartExecutor
2025-12-04T09:58:50.8878483Z     yield
2025-12-04T09:58:50.8878811Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 591, in run
2025-12-04T09:58:50.8879226Z     self._callTestMethod(testMethod)
2025-12-04T09:58:50.8879668Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 549, in _callTestMethod
2025-12-04T09:58:50.8880099Z     method()
2025-12-04T09:58:50.8880596Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper
2025-12-04T09:58:50.8881160Z     method(*args, **kwargs)
2025-12-04T09:58:50.8881689Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper
2025-12-04T09:58:50.8882259Z     method(*args, **kwargs)
2025-12-04T09:58:50.8882852Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 428, in instantiated_test
2025-12-04T09:58:50.8883481Z     result = test(self, **param_kwargs)
2025-12-04T09:58:50.8884148Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1736, in wrapper
2025-12-04T09:58:50.8884713Z     fn(*args, **kwargs)
2025-12-04T09:58:50.8885280Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1163, in test_wrapper
2025-12-04T09:58:50.8885878Z     raise e_tracked from e
2025-12-04T09:58:50.8886138Z Exception: Tensor-likes are not close!
2025-12-04T09:58:50.8886331Z 
2025-12-04T09:58:50.8886432Z Mismatched elements: 1 / 96 (1.0%)
2025-12-04T09:58:50.8886852Z Greatest absolute difference: 2.288818359375e-05 at index (2, 0, 1) (up to 1e-05 allowed)
2025-12-04T09:58:50.8887464Z Greatest relative difference: 0.0022182464599609375 at index (2, 0, 1) (up to 0.001 allowed)
2025-12-04T09:58:50.8887824Z 
2025-12-04T09:58:50.8887916Z The failure occurred for item [0]
2025-12-04T09:58:50.8888089Z 
2025-12-04T09:58:50.8888565Z Caused by sample input at index 9: SampleInput(input=Tensor[size=(8, 4, 3), device="cuda:0", dtype=torch.float16], args=(5), kwargs={}, broadcasts_input=False, name='')
2025-12-04T09:58:50.8889122Z 
2025-12-04T09:58:50.8889295Z To execute this test, run the following from the base repo dir:
2025-12-04T09:58:50.8890151Z     PYTORCH_OPINFO_SAMPLE_INPUT_INDEX=9 python test/inductor/test_torchinductor_opinfo.py TestInductorOpInfoCUDA.test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16
2025-12-04T09:58:50.8890845Z 
2025-12-04T09:58:50.8891051Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T09:58:50.8891647Z _ TestInductorOpInfoCUDA.test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16 _
2025-12-04T09:58:50.8892137Z Traceback (most recent call last):
2025-12-04T09:58:50.8892743Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1151, in test_wrapper
2025-12-04T09:58:50.8893353Z     return test(*args, **kwargs)
2025-12-04T09:58:50.8893931Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1473, in only_fn
2025-12-04T09:58:50.8894520Z     return fn(self, *args, **kwargs)
2025-12-04T09:58:50.8895081Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 2464, in wrapper
2025-12-04T09:58:50.8895644Z     fn(*args, **kwargs)
2025-12-04T09:58:50.8896181Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1231, in dep_fn
2025-12-04T09:58:50.8896759Z     return fn(slf, *args, **kwargs)
2025-12-04T09:58:50.8897336Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1231, in dep_fn
2025-12-04T09:58:50.8898015Z     return fn(slf, *args, **kwargs)
2025-12-04T09:58:50.8898615Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1736, in wrapper
2025-12-04T09:58:50.8899172Z     fn(*args, **kwargs)
2025-12-04T09:58:50.8899693Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1647, in wrapper
2025-12-04T09:58:50.8900248Z     fn(*args, **kwargs)
2025-12-04T09:58:50.8900614Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/mock.py", line 1379, in patched
2025-12-04T09:58:50.8901051Z     return func(*newargs, **newkeywargs)
2025-12-04T09:58:50.8901455Z   File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
2025-12-04T09:58:50.8901848Z     return func(*args, **kwds)
2025-12-04T09:58:50.8902230Z   File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
2025-12-04T09:58:50.8903179Z     return func(*args, **kwds)
2025-12-04T09:58:50.8903551Z   File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
2025-12-04T09:58:50.8903945Z     return func(*args, **kwds)
2025-12-04T09:58:50.8904649Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py", line 1121, in inner
2025-12-04T09:58:50.8905216Z     raise e
2025-12-04T09:58:50.8905632Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py", line 1113, in inner
2025-12-04T09:58:50.8906131Z     fn(self, device, dtype, op)
2025-12-04T09:58:50.8906666Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py", line 1378, in test_comprehensive
2025-12-04T09:58:50.8907221Z     raise e
2025-12-04T09:58:50.8921136Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py", line 1353, in test_comprehensive
2025-12-04T09:58:50.8921709Z     self.check_model_gpu(
2025-12-04T09:58:50.8922098Z   File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
2025-12-04T09:58:50.8922534Z     return func(*args, **kwds)
2025-12-04T09:58:50.8923027Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 692, in check_model_gpu
2025-12-04T09:58:50.8923541Z     check_model(
2025-12-04T09:58:50.8923987Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 647, in check_model
2025-12-04T09:58:50.8924487Z     self.assertEqual(
2025-12-04T09:58:50.8924980Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual
2025-12-04T09:58:50.8925563Z     return super().assertEqual(x, y, *args, **kwargs)
2025-12-04T09:58:50.8926198Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T09:58:50.8926858Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T09:58:50.8927243Z AssertionError: Tensor-likes are not close!
2025-12-04T09:58:50.8927464Z 
2025-12-04T09:58:50.8927566Z Mismatched elements: 1 / 96 (1.0%)
2025-12-04T09:58:50.8928027Z Greatest absolute difference: 3.814697265625e-05 at index (7, 0, 1) (up to 1e-05 allowed)
2025-12-04T09:58:50.8928674Z Greatest relative difference: 0.0026721954345703125 at index (7, 0, 1) (up to 0.001 allowed)
2025-12-04T09:58:50.8929046Z 
2025-12-04T09:58:50.8929142Z The failure occurred for item [0]
2025-12-04T09:58:50.8929321Z 
2025-12-04T09:58:50.8929522Z The above exception was the direct cause of the following exception:
2025-12-04T09:58:50.8929810Z 
2025-12-04T09:58:50.8929920Z Traceback (most recent call last):
2025-12-04T09:58:50.8930367Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 59, in testPartExecutor
2025-12-04T09:58:50.8930812Z     yield
2025-12-04T09:58:50.8931148Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 591, in run
2025-12-04T09:58:50.8931567Z     self._callTestMethod(testMethod)
2025-12-04T09:58:50.8932336Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 549, in _callTestMethod
2025-12-04T09:58:50.8932773Z     method()
2025-12-04T09:58:50.8933277Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper
2025-12-04T09:58:50.8933849Z     method(*args, **kwargs)
2025-12-04T09:58:50.8934392Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper
2025-12-04T09:58:50.8934960Z     method(*args, **kwargs)
2025-12-04T09:58:50.8935553Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 428, in instantiated_test
2025-12-04T09:58:50.8936196Z     result = test(self, **param_kwargs)
2025-12-04T09:58:50.8936770Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1736, in wrapper
2025-12-04T09:58:50.8937335Z     fn(*args, **kwargs)
2025-12-04T09:58:50.8937897Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1163, in test_wrapper
2025-12-04T09:58:50.8938571Z     raise e_tracked from e
2025-12-04T09:58:50.8938836Z Exception: Tensor-likes are not close!
2025-12-04T09:58:50.8939031Z 
2025-12-04T09:58:50.8939230Z Mismatched elements: 1 / 96 (1.0%)
2025-12-04T09:58:50.8939674Z Greatest absolute difference: 3.814697265625e-05 at index (7, 0, 1) (up to 1e-05 allowed)
2025-12-04T09:58:50.8940287Z Greatest relative difference: 0.0026721954345703125 at index (7, 0, 1) (up to 0.001 allowed)
2025-12-04T09:58:50.8940644Z 
2025-12-04T09:58:50.8940747Z The failure occurred for item [0]
2025-12-04T09:58:50.8940926Z 
2025-12-04T09:58:50.8941397Z Caused by sample input at index 9: SampleInput(input=Tensor[size=(8, 4, 3), device="cuda:0", dtype=torch.float16], args=(5), kwargs={}, broadcasts_input=False, name='')
2025-12-04T09:58:50.8941969Z 
2025-12-04T09:58:50.8942144Z To execute this test, run the following from the base repo dir:
2025-12-04T09:58:50.8943022Z     PYTORCH_OPINFO_SAMPLE_INPUT_INDEX=9 python test/inductor/test_torchinductor_opinfo.py TestInductorOpInfoCUDA.test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16
2025-12-04T09:58:50.8943718Z 
2025-12-04T09:58:50.8943941Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T09:58:50.8944541Z _ TestInductorOpInfoCUDA.test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16 _
2025-12-04T09:58:50.8945237Z Traceback (most recent call last):
2025-12-04T09:58:50.8945857Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1151, in test_wrapper
2025-12-04T09:58:50.8946481Z     return test(*args, **kwargs)
2025-12-04T09:58:50.8947055Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1473, in only_fn
2025-12-04T09:58:50.8947657Z     return fn(self, *args, **kwargs)
2025-12-04T09:58:50.8948232Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 2464, in wrapper
2025-12-04T09:58:50.8948803Z     fn(*args, **kwargs)
2025-12-04T09:58:50.8949347Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1231, in dep_fn
2025-12-04T09:58:50.8949947Z     return fn(slf, *args, **kwargs)
2025-12-04T09:58:50.8950531Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1231, in dep_fn
2025-12-04T09:58:50.8951120Z     return fn(slf, *args, **kwargs)
2025-12-04T09:58:50.8951687Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1736, in wrapper
2025-12-04T09:58:50.8952256Z     fn(*args, **kwargs)
2025-12-04T09:58:50.8952786Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1647, in wrapper
2025-12-04T09:58:50.8953455Z     fn(*args, **kwargs)
2025-12-04T09:58:50.8953838Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/mock.py", line 1379, in patched
2025-12-04T09:58:50.8954281Z     return func(*newargs, **newkeywargs)
2025-12-04T09:58:50.8954698Z   File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
2025-12-04T09:58:50.8955110Z     return func(*args, **kwds)
2025-12-04T09:58:50.8955496Z   File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
2025-12-04T09:58:50.8955899Z     return func(*args, **kwds)
2025-12-04T09:58:50.8956276Z   File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
2025-12-04T09:58:50.8956681Z     return func(*args, **kwds)
2025-12-04T09:58:50.8957162Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py", line 1121, in inner
2025-12-04T09:58:50.8957655Z     raise e
2025-12-04T09:58:50.8958086Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py", line 1113, in inner
2025-12-04T09:58:50.8958605Z     fn(self, device, dtype, op)
2025-12-04T09:58:50.8959141Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py", line 1378, in test_comprehensive
2025-12-04T09:58:50.8959694Z     raise e
2025-12-04T09:58:50.8960271Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py", line 1353, in test_comprehensive
2025-12-04T09:58:50.8960830Z     self.check_model_gpu(
2025-12-04T09:58:50.8961204Z   File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
2025-12-04T09:58:50.8961618Z     return func(*args, **kwds)
2025-12-04T09:58:50.8962106Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 692, in check_model_gpu
2025-12-04T09:58:50.8962613Z     check_model(
2025-12-04T09:58:50.8963052Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 647, in check_model
2025-12-04T09:58:50.8963553Z     self.assertEqual(
2025-12-04T09:58:50.8964041Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual
2025-12-04T09:58:50.8964628Z     return super().assertEqual(x, y, *args, **kwargs)
2025-12-04T09:58:50.8965271Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T09:58:50.8965938Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T09:58:50.8966313Z AssertionError: Tensor-likes are not close!
2025-12-04T09:58:50.8966530Z 
2025-12-04T09:58:50.8966628Z Mismatched elements: 1 / 96 (1.0%)
2025-12-04T09:58:50.8967060Z Greatest absolute difference: 3.0517578125e-05 at index (7, 0, 1) (up to 1e-05 allowed)
2025-12-04T09:58:50.8967659Z Greatest relative difference: 0.002140045166015625 at index (7, 0, 1) (up to 0.001 allowed)
2025-12-04T09:58:50.8968023Z 
2025-12-04T09:58:50.8968134Z The failure occurred for item [0]
2025-12-04T09:58:50.8968350Z 
2025-12-04T09:58:50.8968548Z The above exception was the direct cause of the following exception:
2025-12-04T09:58:50.8968840Z 
2025-12-04T09:58:50.8968947Z Traceback (most recent call last):
2025-12-04T09:58:50.8969395Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 59, in testPartExecutor
2025-12-04T09:58:50.8969839Z     yield
2025-12-04T09:58:50.8970177Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 591, in run
2025-12-04T09:58:50.8970592Z     self._callTestMethod(testMethod)
2025-12-04T09:58:50.8971046Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 549, in _callTestMethod
2025-12-04T09:58:50.8971486Z     method()
2025-12-04T09:58:50.8971987Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper
2025-12-04T09:58:50.8972567Z     method(*args, **kwargs)
2025-12-04T09:58:50.8973106Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper
2025-12-04T09:58:50.8973678Z     method(*args, **kwargs)
2025-12-04T09:58:50.8974419Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 428, in instantiated_test
2025-12-04T09:58:50.8975064Z     result = test(self, **param_kwargs)
2025-12-04T09:58:50.8975645Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1736, in wrapper
2025-12-04T09:58:50.8976210Z     fn(*args, **kwargs)
2025-12-04T09:58:50.8976769Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1163, in test_wrapper
2025-12-04T09:58:50.8977386Z     raise e_tracked from e
2025-12-04T09:58:50.8977651Z Exception: Tensor-likes are not close!
2025-12-04T09:58:50.8977846Z 
2025-12-04T09:58:50.8977944Z Mismatched elements: 1 / 96 (1.0%)
2025-12-04T09:58:50.8978423Z Greatest absolute difference: 3.0517578125e-05 at index (7, 0, 1) (up to 1e-05 allowed)
2025-12-04T09:58:50.8979030Z Greatest relative difference: 0.002140045166015625 at index (7, 0, 1) (up to 0.001 allowed)
2025-12-04T09:58:50.8979393Z 
2025-12-04T09:58:50.8979497Z The failure occurred for item [0]
2025-12-04T09:58:50.8979677Z 
2025-12-04T09:58:50.8980242Z Caused by sample input at index 9: SampleInput(input=Tensor[size=(8, 4, 3), device="cuda:0", dtype=torch.float16], args=(5), kwargs={}, broadcasts_input=False, name='')
2025-12-04T09:58:50.8980813Z 
2025-12-04T09:58:50.8980986Z To execute this test, run the following from the base repo dir:
2025-12-04T09:58:50.8981856Z     PYTORCH_OPINFO_SAMPLE_INPUT_INDEX=9 python test/inductor/test_torchinductor_opinfo.py TestInductorOpInfoCUDA.test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16
2025-12-04T09:58:50.8982551Z 
2025-12-04T09:58:50.8982774Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T09:58:50.8983375Z _ TestInductorOpInfoCUDA.test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16 _
2025-12-04T09:58:50.8983884Z Traceback (most recent call last):
2025-12-04T09:58:50.8984512Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1151, in test_wrapper
2025-12-04T09:58:50.8985258Z     return test(*args, **kwargs)
2025-12-04T09:58:50.8985837Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1473, in only_fn
2025-12-04T09:58:50.8986439Z     return fn(self, *args, **kwargs)
2025-12-04T09:58:50.8987011Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 2464, in wrapper
2025-12-04T09:58:50.8987584Z     fn(*args, **kwargs)
2025-12-04T09:58:50.8988126Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1231, in dep_fn
2025-12-04T09:58:50.8988723Z     return fn(slf, *args, **kwargs)
2025-12-04T09:58:50.8989310Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1231, in dep_fn
2025-12-04T09:58:50.8989905Z     return fn(slf, *args, **kwargs)
2025-12-04T09:58:50.8990476Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1736, in wrapper
2025-12-04T09:58:50.8991044Z     fn(*args, **kwargs)
2025-12-04T09:58:50.8991578Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1647, in wrapper
2025-12-04T09:58:50.8992140Z     fn(*args, **kwargs)
2025-12-04T09:58:50.8992524Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/mock.py", line 1379, in patched
2025-12-04T09:58:50.8992969Z     return func(*newargs, **newkeywargs)
2025-12-04T09:58:50.8993380Z   File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
2025-12-04T09:58:50.8993791Z     return func(*args, **kwds)
2025-12-04T09:58:50.8994171Z   File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
2025-12-04T09:58:50.8994586Z     return func(*args, **kwds)
2025-12-04T09:58:50.8995156Z   File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
2025-12-04T09:58:50.8995563Z     return func(*args, **kwds)
2025-12-04T09:58:50.8996051Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py", line 1121, in inner
2025-12-04T09:58:50.8996538Z     raise e
2025-12-04T09:58:50.8996966Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py", line 1113, in inner
2025-12-04T09:58:50.8997591Z     fn(self, device, dtype, op)
2025-12-04T09:58:50.8998287Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py", line 1378, in test_comprehensive
2025-12-04T09:58:50.8998842Z     raise e
2025-12-04T09:58:50.8999331Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py", line 1353, in test_comprehensive
2025-12-04T09:58:50.8999901Z     self.check_model_gpu(
2025-12-04T09:58:50.9000270Z   File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
2025-12-04T09:58:50.9000688Z     return func(*args, **kwds)
2025-12-04T09:58:50.9001183Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 692, in check_model_gpu
2025-12-04T09:58:50.9001686Z     check_model(
2025-12-04T09:58:50.9002521Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 647, in check_model
2025-12-04T09:58:50.9003044Z     self.assertEqual(
2025-12-04T09:58:50.9003544Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual
2025-12-04T09:58:50.9004115Z     return super().assertEqual(x, y, *args, **kwargs)
2025-12-04T09:58:50.9004755Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T09:58:50.9005426Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T09:58:50.9005799Z AssertionError: Tensor-likes are not close!
2025-12-04T09:58:50.9006020Z 
2025-12-04T09:58:50.9006125Z Mismatched elements: 1 / 96 (1.0%)
2025-12-04T09:58:50.9006563Z Greatest absolute difference: 3.814697265625e-05 at index (7, 0, 1) (up to 1e-05 allowed)
2025-12-04T09:58:50.9007181Z Greatest relative difference: 0.0026721954345703125 at index (7, 0, 1) (up to 0.001 allowed)
2025-12-04T09:58:50.9007546Z 
2025-12-04T09:58:50.9007643Z The failure occurred for item [0]
2025-12-04T09:58:50.9007830Z 
2025-12-04T09:58:50.9008023Z The above exception was the direct cause of the following exception:
2025-12-04T09:58:50.9008312Z 
2025-12-04T09:58:50.9008422Z Traceback (most recent call last):
2025-12-04T09:58:50.9008880Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 59, in testPartExecutor
2025-12-04T09:58:50.9009317Z     yield
2025-12-04T09:58:50.9009651Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 591, in run
2025-12-04T09:58:50.9010072Z     self._callTestMethod(testMethod)
2025-12-04T09:58:50.9010521Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 549, in _callTestMethod
2025-12-04T09:58:50.9010964Z     method()
2025-12-04T09:58:50.9011474Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper
2025-12-04T09:58:50.9012056Z     method(*args, **kwargs)
2025-12-04T09:58:50.9012605Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper
2025-12-04T09:58:50.9013185Z     method(*args, **kwargs)
2025-12-04T09:58:50.9013795Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 428, in instantiated_test
2025-12-04T09:58:50.9014440Z     result = test(self, **param_kwargs)
2025-12-04T09:58:50.9015025Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1736, in wrapper
2025-12-04T09:58:50.9015598Z     fn(*args, **kwargs)
2025-12-04T09:58:50.9016168Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1163, in test_wrapper
2025-12-04T09:58:50.9017009Z     raise e_tracked from e
2025-12-04T09:58:50.9017280Z Exception: Tensor-likes are not close!
2025-12-04T09:58:50.9017480Z 
2025-12-04T09:58:50.9017591Z Mismatched elements: 1 / 96 (1.0%)
2025-12-04T09:58:50.9018029Z Greatest absolute difference: 3.814697265625e-05 at index (7, 0, 1) (up to 1e-05 allowed)
2025-12-04T09:58:50.9018664Z Greatest relative difference: 0.0026721954345703125 at index (7, 0, 1) (up to 0.001 allowed)
2025-12-04T09:58:50.9019025Z 
2025-12-04T09:58:50.9019132Z The failure occurred for item [0]
2025-12-04T09:58:50.9019313Z 
2025-12-04T09:58:50.9019790Z Caused by sample input at index 9: SampleInput(input=Tensor[size=(8, 4, 3), device="cuda:0", dtype=torch.float16], args=(5), kwargs={}, broadcasts_input=False, name='')
2025-12-04T09:58:50.9020353Z 
2025-12-04T09:58:50.9020529Z To execute this test, run the following from the base repo dir:
2025-12-04T09:58:50.9021407Z     PYTORCH_OPINFO_SAMPLE_INPUT_INDEX=9 python test/inductor/test_torchinductor_opinfo.py TestInductorOpInfoCUDA.test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16
2025-12-04T09:58:50.9022111Z 
2025-12-04T09:58:50.9022326Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T09:58:50.9023074Z _ TestInductorOpInfoCUDA.test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16 _
2025-12-04T09:58:50.9023579Z Traceback (most recent call last):
2025-12-04T09:58:50.9024199Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1151, in test_wrapper
2025-12-04T09:58:50.9024825Z     return test(*args, **kwargs)
2025-12-04T09:58:50.9025503Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1473, in only_fn
2025-12-04T09:58:50.9026104Z     return fn(self, *args, **kwargs)
2025-12-04T09:58:50.9026682Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 2464, in wrapper
2025-12-04T09:58:50.9027259Z     fn(*args, **kwargs)
2025-12-04T09:58:50.9027806Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1231, in dep_fn
2025-12-04T09:58:50.9028411Z     return fn(slf, *args, **kwargs)
2025-12-04T09:58:50.9029001Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1231, in dep_fn
2025-12-04T09:58:50.9029598Z     return fn(slf, *args, **kwargs)
2025-12-04T09:58:50.9030159Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1736, in wrapper
2025-12-04T09:58:50.9030729Z     fn(*args, **kwargs)
2025-12-04T09:58:50.9031258Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1647, in wrapper
2025-12-04T09:58:50.9031819Z     fn(*args, **kwargs)
2025-12-04T09:58:50.9032208Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/mock.py", line 1379, in patched
2025-12-04T09:58:50.9032655Z     return func(*newargs, **newkeywargs)
2025-12-04T09:58:50.9033074Z   File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
2025-12-04T09:58:50.9033485Z     return func(*args, **kwds)
2025-12-04T09:58:50.9033868Z   File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
2025-12-04T09:58:50.9034278Z     return func(*args, **kwds)
2025-12-04T09:58:50.9034655Z   File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
2025-12-04T09:58:50.9035065Z     return func(*args, **kwds)
2025-12-04T09:58:50.9035551Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py", line 1121, in inner
2025-12-04T09:58:50.9036047Z     raise e
2025-12-04T09:58:50.9036473Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py", line 1113, in inner
2025-12-04T09:58:50.9036987Z     fn(self, device, dtype, op)
2025-12-04T09:58:50.9037635Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py", line 1378, in test_comprehensive
2025-12-04T09:58:50.9038182Z     raise e
2025-12-04T09:58:50.9038671Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py", line 1353, in test_comprehensive
2025-12-04T09:58:50.9039237Z     self.check_model_gpu(
2025-12-04T09:58:50.9039607Z   File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
2025-12-04T09:58:50.9040022Z     return func(*args, **kwds)
2025-12-04T09:58:50.9040516Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 692, in check_model_gpu
2025-12-04T09:58:50.9041028Z     check_model(
2025-12-04T09:58:50.9041461Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 647, in check_model
2025-12-04T09:58:50.9041959Z     self.assertEqual(
2025-12-04T09:58:50.9042456Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual
2025-12-04T09:58:50.9043038Z     return super().assertEqual(x, y, *args, **kwargs)
2025-12-04T09:58:50.9043673Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T09:58:50.9044437Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T09:58:50.9044826Z AssertionError: Tensor-likes are not close!
2025-12-04T09:58:50.9045038Z 
2025-12-04T09:58:50.9045139Z Mismatched elements: 1 / 96 (1.0%)
2025-12-04T09:58:50.9045586Z Greatest absolute difference: 3.814697265625e-05 at index (7, 0, 1) (up to 1e-05 allowed)
2025-12-04T09:58:50.9046207Z Greatest relative difference: 0.0026721954345703125 at index (7, 0, 1) (up to 0.001 allowed)
2025-12-04T09:58:50.9046570Z 
2025-12-04T09:58:50.9046675Z The failure occurred for item [0]
2025-12-04T09:58:50.9046856Z 
2025-12-04T09:58:50.9047051Z The above exception was the direct cause of the following exception:
2025-12-04T09:58:50.9047354Z 
2025-12-04T09:58:50.9047455Z Traceback (most recent call last):
2025-12-04T09:58:50.9047913Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 59, in testPartExecutor
2025-12-04T09:58:50.9048353Z     yield
2025-12-04T09:58:50.9048699Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 591, in run
2025-12-04T09:58:50.9049170Z     self._callTestMethod(testMethod)
2025-12-04T09:58:50.9049628Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 549, in _callTestMethod
2025-12-04T09:58:50.9050066Z     method()
2025-12-04T09:58:50.9050575Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper
2025-12-04T09:58:50.9051158Z     method(*args, **kwargs)
2025-12-04T09:58:50.9051699Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper
2025-12-04T09:58:50.9052279Z     method(*args, **kwargs)
2025-12-04T09:58:50.9052895Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 428, in instantiated_test
2025-12-04T09:58:50.9053543Z     result = test(self, **param_kwargs)
2025-12-04T09:58:50.9054123Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1736, in wrapper
2025-12-04T09:58:50.9054692Z     fn(*args, **kwargs)
2025-12-04T09:58:50.9055260Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1163, in test_wrapper
2025-12-04T09:58:50.9055870Z     raise e_tracked from e
2025-12-04T09:58:50.9056136Z Exception: Tensor-likes are not close!
2025-12-04T09:58:50.9056340Z 
2025-12-04T09:58:50.9056438Z Mismatched elements: 1 / 96 (1.0%)
2025-12-04T09:58:50.9056876Z Greatest absolute difference: 3.814697265625e-05 at index (7, 0, 1) (up to 1e-05 allowed)
2025-12-04T09:58:50.9057487Z Greatest relative difference: 0.0026721954345703125 at index (7, 0, 1) (up to 0.001 allowed)
2025-12-04T09:58:50.9057994Z 
2025-12-04T09:58:50.9058092Z The failure occurred for item [0]
2025-12-04T09:58:50.9058273Z 
2025-12-04T09:58:50.9058755Z Caused by sample input at index 9: SampleInput(input=Tensor[size=(8, 4, 3), device="cuda:0", dtype=torch.float16], args=(5), kwargs={}, broadcasts_input=False, name='')
2025-12-04T09:58:50.9059317Z 
2025-12-04T09:58:50.9059498Z To execute this test, run the following from the base repo dir:
2025-12-04T09:58:50.9060363Z     PYTORCH_OPINFO_SAMPLE_INPUT_INDEX=9 python test/inductor/test_torchinductor_opinfo.py TestInductorOpInfoCUDA.test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16
2025-12-04T09:58:50.9061067Z 
2025-12-04T09:58:50.9061276Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T09:58:50.9061888Z _ TestInductorOpInfoCUDA.test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16 _
2025-12-04T09:58:50.9062394Z Traceback (most recent call last):
2025-12-04T09:58:50.9063007Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1151, in test_wrapper
2025-12-04T09:58:50.9063640Z     return test(*args, **kwargs)
2025-12-04T09:58:50.9064308Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1473, in only_fn
2025-12-04T09:58:50.9064906Z     return fn(self, *args, **kwargs)
2025-12-04T09:58:50.9065591Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 2464, in wrapper
2025-12-04T09:58:50.9066164Z     fn(*args, **kwargs)
2025-12-04T09:58:50.9066713Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1231, in dep_fn
2025-12-04T09:58:50.9067308Z     return fn(slf, *args, **kwargs)
2025-12-04T09:58:50.9067897Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1231, in dep_fn
2025-12-04T09:58:50.9068505Z     return fn(slf, *args, **kwargs)
2025-12-04T09:58:50.9069078Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1736, in wrapper
2025-12-04T09:58:50.9069644Z     fn(*args, **kwargs)
2025-12-04T09:58:50.9070180Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1647, in wrapper
2025-12-04T09:58:50.9070752Z     fn(*args, **kwargs)
2025-12-04T09:58:50.9071129Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/mock.py", line 1379, in patched
2025-12-04T09:58:50.9071579Z     return func(*newargs, **newkeywargs)
2025-12-04T09:58:50.9071998Z   File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
2025-12-04T09:58:50.9072412Z     return func(*args, **kwds)
2025-12-04T09:58:50.9072790Z   File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
2025-12-04T09:58:50.9073201Z     return func(*args, **kwds)
2025-12-04T09:58:50.9073584Z   File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
2025-12-04T09:58:50.9073992Z     return func(*args, **kwds)
2025-12-04T09:58:50.9074480Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py", line 1121, in inner
2025-12-04T09:58:50.9074976Z     raise e
2025-12-04T09:58:50.9075397Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py", line 1113, in inner
2025-12-04T09:58:50.9075903Z     fn(self, device, dtype, op)
2025-12-04T09:58:50.9076447Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py", line 1378, in test_comprehensive
2025-12-04T09:58:50.9076992Z     raise e
2025-12-04T09:58:50.9077470Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py", line 1353, in test_comprehensive
2025-12-04T09:58:50.9078030Z     self.check_model_gpu(
2025-12-04T09:58:50.9078402Z   File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
2025-12-04T09:58:50.9078801Z     return func(*args, **kwds)
2025-12-04T09:58:50.9079394Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 692, in check_model_gpu
2025-12-04T09:58:50.9079899Z     check_model(
2025-12-04T09:58:50.9080337Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 647, in check_model
2025-12-04T09:58:50.9080825Z     self.assertEqual(
2025-12-04T09:58:50.9081312Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual
2025-12-04T09:58:50.9081886Z     return super().assertEqual(x, y, *args, **kwargs)
2025-12-04T09:58:50.9082511Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T09:58:50.9083174Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T09:58:50.9083552Z AssertionError: Tensor-likes are not close!
2025-12-04T09:58:50.9083761Z 
2025-12-04T09:58:50.9083863Z Mismatched elements: 1 / 96 (1.0%)
2025-12-04T09:58:50.9084305Z Greatest absolute difference: 4.57763671875e-05 at index (0, 7, 0, 1) (up to 1e-05 allowed)
2025-12-04T09:58:50.9084930Z Greatest relative difference: 0.003200531005859375 at index (0, 7, 0, 1) (up to 0.001 allowed)
2025-12-04T09:58:50.9085300Z 
2025-12-04T09:58:50.9085494Z The failure occurred for item [0]
2025-12-04T09:58:50.9085672Z 
2025-12-04T09:58:50.9085862Z The above exception was the direct cause of the following exception:
2025-12-04T09:58:50.9086161Z 
2025-12-04T09:58:50.9086262Z Traceback (most recent call last):
2025-12-04T09:58:50.9086713Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 59, in testPartExecutor
2025-12-04T09:58:50.9087150Z     yield
2025-12-04T09:58:50.9087477Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 591, in run
2025-12-04T09:58:50.9087895Z     self._callTestMethod(testMethod)
2025-12-04T09:58:50.9088346Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 549, in _callTestMethod
2025-12-04T09:58:50.9088782Z     method()
2025-12-04T09:58:50.9089285Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper
2025-12-04T09:58:50.9089856Z     method(*args, **kwargs)
2025-12-04T09:58:50.9090395Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper
2025-12-04T09:58:50.9090972Z     method(*args, **kwargs)
2025-12-04T09:58:50.9091573Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 428, in instantiated_test
2025-12-04T09:58:50.9092219Z     result = test(self, **param_kwargs)
2025-12-04T09:58:50.9092787Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1736, in wrapper
2025-12-04T09:58:50.9093352Z     fn(*args, **kwargs)
2025-12-04T09:58:50.9093919Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1163, in test_wrapper
2025-12-04T09:58:50.9094536Z     raise e_tracked from e
2025-12-04T09:58:50.9094793Z Exception: Tensor-likes are not close!
2025-12-04T09:58:50.9094997Z 
2025-12-04T09:58:50.9095094Z Mismatched elements: 1 / 96 (1.0%)
2025-12-04T09:58:50.9095545Z Greatest absolute difference: 4.57763671875e-05 at index (0, 7, 0, 1) (up to 1e-05 allowed)
2025-12-04T09:58:50.9096162Z Greatest relative difference: 0.003200531005859375 at index (0, 7, 0, 1) (up to 0.001 allowed)
2025-12-04T09:58:50.9096533Z 
2025-12-04T09:58:50.9096631Z The failure occurred for item [0]
2025-12-04T09:58:50.9096818Z 
2025-12-04T09:58:50.9097290Z Caused by sample input at index 8: SampleInput(input=Tensor[size=(1, 8, 4, 3), device="cuda:0", dtype=torch.float16], args=(5), kwargs={}, broadcasts_input=False, name='')
2025-12-04T09:58:50.9097856Z 
2025-12-04T09:58:50.9098035Z To execute this test, run the following from the base repo dir:
2025-12-04T09:58:50.9098891Z     PYTORCH_OPINFO_SAMPLE_INPUT_INDEX=8 python test/inductor/test_torchinductor_opinfo.py TestInductorOpInfoCUDA.test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16
2025-12-04T09:58:50.9099690Z 
2025-12-04T09:58:50.9099899Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T09:58:50.9100508Z _ TestInductorOpInfoCUDA.test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16 _
2025-12-04T09:58:50.9101005Z Traceback (most recent call last):
2025-12-04T09:58:50.9101614Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1151, in test_wrapper
2025-12-04T09:58:50.9102233Z     return test(*args, **kwargs)
2025-12-04T09:58:50.9103344Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1473, in only_fn
2025-12-04T09:58:50.9103960Z     return fn(self, *args, **kwargs)
2025-12-04T09:58:50.9104534Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 2464, in wrapper
2025-12-04T09:58:50.9105210Z     fn(*args, **kwargs)
2025-12-04T09:58:50.9105767Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1231, in dep_fn
2025-12-04T09:58:50.9106591Z     return fn(slf, *args, **kwargs)
2025-12-04T09:58:50.9107189Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1231, in dep_fn
2025-12-04T09:58:50.9107785Z     return fn(slf, *args, **kwargs)
2025-12-04T09:58:50.9108353Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1736, in wrapper
2025-12-04T09:58:50.9108916Z     fn(*args, **kwargs)
2025-12-04T09:58:50.9109451Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1647, in wrapper
2025-12-04T09:58:50.9110022Z     fn(*args, **kwargs)
2025-12-04T09:58:50.9110398Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/mock.py", line 1379, in patched
2025-12-04T09:58:50.9110852Z     return func(*newargs, **newkeywargs)
2025-12-04T09:58:50.9111266Z   File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
2025-12-04T09:58:50.9111677Z     return func(*args, **kwds)
2025-12-04T09:58:50.9112060Z   File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
2025-12-04T09:58:50.9112469Z     return func(*args, **kwds)
2025-12-04T09:58:50.9112851Z   File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
2025-12-04T09:58:50.9113252Z     return func(*args, **kwds)
2025-12-04T09:58:50.9113738Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py", line 1121, in inner
2025-12-04T09:58:50.9114233Z     raise e
2025-12-04T09:58:50.9114662Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py", line 1113, in inner
2025-12-04T09:58:50.9115169Z     fn(self, device, dtype, op)
2025-12-04T09:58:50.9115715Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py", line 1378, in test_comprehensive
2025-12-04T09:58:50.9116275Z     raise e
2025-12-04T09:58:50.9116756Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py", line 1353, in test_comprehensive
2025-12-04T09:58:50.9117332Z     self.check_model_gpu(
2025-12-04T09:58:50.9117709Z   File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
2025-12-04T09:58:50.9118122Z     return func(*args, **kwds)
2025-12-04T09:58:50.9118655Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 692, in check_model_gpu
2025-12-04T09:58:50.9126556Z     check_model(
2025-12-04T09:58:50.9127013Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 647, in check_model
2025-12-04T09:58:50.9127539Z     self.assertEqual(
2025-12-04T09:58:50.9128057Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual
2025-12-04T09:58:50.9128877Z     return super().assertEqual(x, y, *args, **kwargs)
2025-12-04T09:58:50.9129511Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T09:58:50.9130182Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T09:58:50.9130555Z AssertionError: Tensor-likes are not close!
2025-12-04T09:58:50.9130774Z 
2025-12-04T09:58:50.9130876Z Mismatched elements: 1 / 96 (1.0%)
2025-12-04T09:58:50.9131323Z Greatest absolute difference: 3.814697265625e-05 at index (0, 7, 0, 1) (up to 1e-05 allowed)
2025-12-04T09:58:50.9131960Z Greatest relative difference: 0.0026721954345703125 at index (0, 7, 0, 1) (up to 0.001 allowed)
2025-12-04T09:58:50.9132328Z 
2025-12-04T09:58:50.9132427Z The failure occurred for item [0]
2025-12-04T09:58:50.9132615Z 
2025-12-04T09:58:50.9132806Z The above exception was the direct cause of the following exception:
2025-12-04T09:58:50.9133095Z 
2025-12-04T09:58:50.9133202Z Traceback (most recent call last):
2025-12-04T09:58:50.9133655Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 59, in testPartExecutor
2025-12-04T09:58:50.9134097Z     yield
2025-12-04T09:58:50.9134428Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 591, in run
2025-12-04T09:58:50.9134994Z     self._callTestMethod(testMethod)
2025-12-04T09:58:50.9135442Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 549, in _callTestMethod
2025-12-04T09:58:50.9135879Z     method()
2025-12-04T09:58:50.9136384Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper
2025-12-04T09:58:50.9136950Z     method(*args, **kwargs)
2025-12-04T09:58:50.9137489Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper
2025-12-04T09:58:50.9138061Z     method(*args, **kwargs)
2025-12-04T09:58:50.9138665Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 428, in instantiated_test
2025-12-04T09:58:50.9139306Z     result = test(self, **param_kwargs)
2025-12-04T09:58:50.9139890Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1736, in wrapper
2025-12-04T09:58:50.9140452Z     fn(*args, **kwargs)
2025-12-04T09:58:50.9141009Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1163, in test_wrapper
2025-12-04T09:58:50.9141619Z     raise e_tracked from e
2025-12-04T09:58:50.9141883Z Exception: Tensor-likes are not close!
2025-12-04T09:58:50.9142075Z 
2025-12-04T09:58:50.9142181Z Mismatched elements: 1 / 96 (1.0%)
2025-12-04T09:58:50.9142617Z Greatest absolute difference: 3.814697265625e-05 at index (0, 7, 0, 1) (up to 1e-05 allowed)
2025-12-04T09:58:50.9143246Z Greatest relative difference: 0.0026721954345703125 at index (0, 7, 0, 1) (up to 0.001 allowed)
2025-12-04T09:58:50.9143618Z 
2025-12-04T09:58:50.9143720Z The failure occurred for item [0]
2025-12-04T09:58:50.9143897Z 
2025-12-04T09:58:50.9144373Z Caused by sample input at index 8: SampleInput(input=Tensor[size=(1, 8, 4, 3), device="cuda:0", dtype=torch.float16], args=(5), kwargs={}, broadcasts_input=False, name='')
2025-12-04T09:58:50.9144937Z 
2025-12-04T09:58:50.9145265Z To execute this test, run the following from the base repo dir:
2025-12-04T09:58:50.9146139Z     PYTORCH_OPINFO_SAMPLE_INPUT_INDEX=8 python test/inductor/test_torchinductor_opinfo.py TestInductorOpInfoCUDA.test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16
2025-12-04T09:58:50.9146842Z 
2025-12-04T09:58:50.9147050Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T09:58:50.9147653Z _ TestInductorOpInfoCUDA.test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16 _
2025-12-04T09:58:50.9148144Z Traceback (most recent call last):
2025-12-04T09:58:50.9148762Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1151, in test_wrapper
2025-12-04T09:58:50.9149478Z     return test(*args, **kwargs)
2025-12-04T09:58:50.9150062Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1473, in only_fn
2025-12-04T09:58:50.9150653Z     return fn(self, *args, **kwargs)
2025-12-04T09:58:50.9151218Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 2464, in wrapper
2025-12-04T09:58:50.9151780Z     fn(*args, **kwargs)
2025-12-04T09:58:50.9152316Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1231, in dep_fn
2025-12-04T09:58:50.9152907Z     return fn(slf, *args, **kwargs)
2025-12-04T09:58:50.9153489Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1231, in dep_fn
2025-12-04T09:58:50.9154082Z     return fn(slf, *args, **kwargs)
2025-12-04T09:58:50.9154645Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1736, in wrapper
2025-12-04T09:58:50.9155215Z     fn(*args, **kwargs)
2025-12-04T09:58:50.9155833Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1647, in wrapper
2025-12-04T09:58:50.9156390Z     fn(*args, **kwargs)
2025-12-04T09:58:50.9156773Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/mock.py", line 1379, in patched
2025-12-04T09:58:50.9157216Z     return func(*newargs, **newkeywargs)
2025-12-04T09:58:50.9157629Z   File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
2025-12-04T09:58:50.9158032Z     return func(*args, **kwds)
2025-12-04T09:58:50.9158414Z   File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
2025-12-04T09:58:50.9158818Z     return func(*args, **kwds)
2025-12-04T09:58:50.9159192Z   File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
2025-12-04T09:58:50.9159601Z     return func(*args, **kwds)
2025-12-04T09:58:50.9160088Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py", line 1121, in inner
2025-12-04T09:58:50.9160571Z     raise e
2025-12-04T09:58:50.9161006Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py", line 1113, in inner
2025-12-04T09:58:50.9161516Z     fn(self, device, dtype, op)
2025-12-04T09:58:50.9162051Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py", line 1378, in test_comprehensive
2025-12-04T09:58:50.9162603Z     raise e
2025-12-04T09:58:50.9163086Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py", line 1353, in test_comprehensive
2025-12-04T09:58:50.9163646Z     self.check_model_gpu(
2025-12-04T09:58:50.9164017Z   File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
2025-12-04T09:58:50.9164422Z     return func(*args, **kwds)
2025-12-04T09:58:50.9164925Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 692, in check_model_gpu
2025-12-04T09:58:50.9165423Z     check_model(
2025-12-04T09:58:50.9165859Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 647, in check_model
2025-12-04T09:58:50.9166356Z     self.assertEqual(
2025-12-04T09:58:50.9166851Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual
2025-12-04T09:58:50.9167425Z     return super().assertEqual(x, y, *args, **kwargs)
2025-12-04T09:58:50.9168063Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T09:58:50.9168737Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T09:58:50.9169158Z AssertionError: Tensor-likes are not close!
2025-12-04T09:58:50.9169379Z 
2025-12-04T09:58:50.9169481Z Mismatched elements: 1 / 96 (1.0%)
2025-12-04T09:58:50.9170017Z Greatest absolute difference: 3.814697265625e-05 at index (7, 0, 1) (up to 1e-05 allowed)
2025-12-04T09:58:50.9170279Z Greatest relative difference: 0.0026721954345703125 at index (7, 0, 1) (up to 0.001 allowed)
2025-12-04T09:58:50.9170284Z 
2025-12-04T09:58:50.9170389Z The failure occurred for item [0]
2025-12-04T09:58:50.9170398Z 
2025-12-04T09:58:50.9170594Z The above exception was the direct cause of the following exception:
2025-12-04T09:58:50.9170599Z 
2025-12-04T09:58:50.9170699Z Traceback (most recent call last):
2025-12-04T09:58:50.9170977Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 59, in testPartExecutor
2025-12-04T09:58:50.9171050Z     yield
2025-12-04T09:58:50.9171280Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 591, in run
2025-12-04T09:58:50.9171382Z     self._callTestMethod(testMethod)
2025-12-04T09:58:50.9171642Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 549, in _callTestMethod
2025-12-04T09:58:50.9171723Z     method()
2025-12-04T09:58:50.9172114Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper
2025-12-04T09:58:50.9172204Z     method(*args, **kwargs)
2025-12-04T09:58:50.9172678Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper
2025-12-04T09:58:50.9172767Z     method(*args, **kwargs)
2025-12-04T09:58:50.9173220Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 428, in instantiated_test
2025-12-04T09:58:50.9173320Z     result = test(self, **param_kwargs)
2025-12-04T09:58:50.9173700Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1736, in wrapper
2025-12-04T09:58:50.9173789Z     fn(*args, **kwargs)
2025-12-04T09:58:50.9174212Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1163, in test_wrapper
2025-12-04T09:58:50.9174307Z     raise e_tracked from e
2025-12-04T09:58:50.9174422Z Exception: Tensor-likes are not close!
2025-12-04T09:58:50.9174426Z 
2025-12-04T09:58:50.9174520Z Mismatched elements: 1 / 96 (1.0%)
2025-12-04T09:58:50.9174785Z Greatest absolute difference: 3.814697265625e-05 at index (7, 0, 1) (up to 1e-05 allowed)
2025-12-04T09:58:50.9175044Z Greatest relative difference: 0.0026721954345703125 at index (7, 0, 1) (up to 0.001 allowed)
2025-12-04T09:58:50.9175049Z 
2025-12-04T09:58:50.9175144Z The failure occurred for item [0]
2025-12-04T09:58:50.9175148Z 
2025-12-04T09:58:50.9175623Z Caused by sample input at index 9: SampleInput(input=Tensor[size=(8, 4, 3), device="cuda:0", dtype=torch.float16], args=(5), kwargs={}, broadcasts_input=False, name='')
2025-12-04T09:58:50.9175628Z 
2025-12-04T09:58:50.9175799Z To execute this test, run the following from the base repo dir:
2025-12-04T09:58:50.9176405Z     PYTORCH_OPINFO_SAMPLE_INPUT_INDEX=9 python test/inductor/test_torchinductor_opinfo.py TestInductorOpInfoCUDA.test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16
2025-12-04T09:58:50.9176414Z 
2025-12-04T09:58:50.9176619Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T09:58:50.9176930Z _ TestInductorOpInfoCUDA.test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16 _
2025-12-04T09:58:50.9177032Z Traceback (most recent call last):
2025-12-04T09:58:50.9177461Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1151, in test_wrapper
2025-12-04T09:58:50.9177563Z     return test(*args, **kwargs)
2025-12-04T09:58:50.9177968Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1473, in only_fn
2025-12-04T09:58:50.9178069Z     return fn(self, *args, **kwargs)
2025-12-04T09:58:50.9178500Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 2464, in wrapper
2025-12-04T09:58:50.9178665Z     fn(*args, **kwargs)
2025-12-04T09:58:50.9179069Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1231, in dep_fn
2025-12-04T09:58:50.9179161Z     return fn(slf, *args, **kwargs)
2025-12-04T09:58:50.9179566Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1231, in dep_fn
2025-12-04T09:58:50.9179664Z     return fn(slf, *args, **kwargs)
2025-12-04T09:58:50.9180045Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1736, in wrapper
2025-12-04T09:58:50.9180125Z     fn(*args, **kwargs)
2025-12-04T09:58:50.9180511Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1647, in wrapper
2025-12-04T09:58:50.9180593Z     fn(*args, **kwargs)
2025-12-04T09:58:50.9180841Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/mock.py", line 1379, in patched
2025-12-04T09:58:50.9180948Z     return func(*newargs, **newkeywargs)
2025-12-04T09:58:50.9181161Z   File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
2025-12-04T09:58:50.9181260Z     return func(*args, **kwds)
2025-12-04T09:58:50.9181561Z   File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
2025-12-04T09:58:50.9181658Z     return func(*args, **kwds)
2025-12-04T09:58:50.9181878Z   File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
2025-12-04T09:58:50.9181968Z     return func(*args, **kwds)
2025-12-04T09:58:50.9182292Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py", line 1121, in inner
2025-12-04T09:58:50.9182366Z     raise e
2025-12-04T09:58:50.9182679Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py", line 1113, in inner
2025-12-04T09:58:50.9182782Z     fn(self, device, dtype, op)
2025-12-04T09:58:50.9183154Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py", line 1378, in test_comprehensive
2025-12-04T09:58:50.9183232Z     raise e
2025-12-04T09:58:50.9183608Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py", line 1353, in test_comprehensive
2025-12-04T09:58:50.9183702Z     self.check_model_gpu(
2025-12-04T09:58:50.9183929Z   File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
2025-12-04T09:58:50.9184020Z     return func(*args, **kwds)
2025-12-04T09:58:50.9184344Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 692, in check_model_gpu
2025-12-04T09:58:50.9184432Z     check_model(
2025-12-04T09:58:50.9184737Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 647, in check_model
2025-12-04T09:58:50.9184823Z     self.assertEqual(
2025-12-04T09:58:50.9185316Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual
2025-12-04T09:58:50.9185450Z     return super().assertEqual(x, y, *args, **kwargs)
2025-12-04T09:58:50.9185863Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T09:58:50.9186030Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T09:58:50.9186153Z AssertionError: Tensor-likes are not close!
2025-12-04T09:58:50.9186158Z 
2025-12-04T09:58:50.9186261Z Mismatched elements: 1 / 96 (1.0%)
2025-12-04T09:58:50.9186525Z Greatest absolute difference: 3.814697265625e-05 at index (0, 7, 0, 1) (up to 1e-05 allowed)
2025-12-04T09:58:50.9186796Z Greatest relative difference: 0.0026645660400390625 at index (0, 7, 0, 1) (up to 0.001 allowed)
2025-12-04T09:58:50.9186808Z 
2025-12-04T09:58:50.9186906Z The failure occurred for item [0]
2025-12-04T09:58:50.9186911Z 
2025-12-04T09:58:50.9187103Z The above exception was the direct cause of the following exception:
2025-12-04T09:58:50.9187107Z 
2025-12-04T09:58:50.9187213Z Traceback (most recent call last):
2025-12-04T09:58:50.9187576Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 59, in testPartExecutor
2025-12-04T09:58:50.9187648Z     yield
2025-12-04T09:58:50.9187879Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 591, in run
2025-12-04T09:58:50.9187986Z     self._callTestMethod(testMethod)
2025-12-04T09:58:50.9188255Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 549, in _callTestMethod
2025-12-04T09:58:50.9188329Z     method()
2025-12-04T09:58:50.9188715Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper
2025-12-04T09:58:50.9188812Z     method(*args, **kwargs)
2025-12-04T09:58:50.9189193Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper
2025-12-04T09:58:50.9189280Z     method(*args, **kwargs)
2025-12-04T09:58:50.9189734Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 428, in instantiated_test
2025-12-04T09:58:50.9189840Z     result = test(self, **param_kwargs)
2025-12-04T09:58:50.9190229Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1736, in wrapper
2025-12-04T09:58:50.9190440Z     fn(*args, **kwargs)
2025-12-04T09:58:50.9190864Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1163, in test_wrapper
2025-12-04T09:58:50.9190961Z     raise e_tracked from e
2025-12-04T09:58:50.9191067Z Exception: Tensor-likes are not close!
2025-12-04T09:58:50.9191071Z 
2025-12-04T09:58:50.9191164Z Mismatched elements: 1 / 96 (1.0%)
2025-12-04T09:58:50.9191435Z Greatest absolute difference: 3.814697265625e-05 at index (0, 7, 0, 1) (up to 1e-05 allowed)
2025-12-04T09:58:50.9191703Z Greatest relative difference: 0.0026645660400390625 at index (0, 7, 0, 1) (up to 0.001 allowed)
2025-12-04T09:58:50.9191707Z 
2025-12-04T09:58:50.9191813Z The failure occurred for item [0]
2025-12-04T09:58:50.9191817Z 
2025-12-04T09:58:50.9192289Z Caused by sample input at index 8: SampleInput(input=Tensor[size=(1, 8, 4, 3), device="cuda:0", dtype=torch.float16], args=(5), kwargs={}, broadcasts_input=False, name='')
2025-12-04T09:58:50.9192294Z 
2025-12-04T09:58:50.9192469Z To execute this test, run the following from the base repo dir:
2025-12-04T09:58:50.9193074Z     PYTORCH_OPINFO_SAMPLE_INPUT_INDEX=8 python test/inductor/test_torchinductor_opinfo.py TestInductorOpInfoCUDA.test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16
2025-12-04T09:58:50.9193079Z 
2025-12-04T09:58:50.9193286Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T09:58:50.9193591Z _ TestInductorOpInfoCUDA.test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16 _
2025-12-04T09:58:50.9193691Z Traceback (most recent call last):
2025-12-04T09:58:50.9194116Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1151, in test_wrapper
2025-12-04T09:58:50.9194220Z     return test(*args, **kwargs)
2025-12-04T09:58:50.9194625Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1473, in only_fn
2025-12-04T09:58:50.9194733Z     return fn(self, *args, **kwargs)
2025-12-04T09:58:50.9195113Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 2464, in wrapper
2025-12-04T09:58:50.9195195Z     fn(*args, **kwargs)
2025-12-04T09:58:50.9195602Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1231, in dep_fn
2025-12-04T09:58:50.9195695Z     return fn(slf, *args, **kwargs)
2025-12-04T09:58:50.9196097Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1231, in dep_fn
2025-12-04T09:58:50.9196190Z     return fn(slf, *args, **kwargs)
2025-12-04T09:58:50.9196655Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1736, in wrapper
2025-12-04T09:58:50.9196745Z     fn(*args, **kwargs)
2025-12-04T09:58:50.9197129Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1647, in wrapper
2025-12-04T09:58:50.9197210Z     fn(*args, **kwargs)
2025-12-04T09:58:50.9197455Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/mock.py", line 1379, in patched
2025-12-04T09:58:50.9197559Z     return func(*newargs, **newkeywargs)
2025-12-04T09:58:50.9197778Z   File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
2025-12-04T09:58:50.9197869Z     return func(*args, **kwds)
2025-12-04T09:58:50.9198080Z   File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
2025-12-04T09:58:50.9198180Z     return func(*args, **kwds)
2025-12-04T09:58:50.9198389Z   File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
2025-12-04T09:58:50.9198483Z     return func(*args, **kwds)
2025-12-04T09:58:50.9198809Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py", line 1121, in inner
2025-12-04T09:58:50.9198880Z     raise e
2025-12-04T09:58:50.9199282Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py", line 1113, in inner
2025-12-04T09:58:50.9199384Z     fn(self, device, dtype, op)
2025-12-04T09:58:50.9199755Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py", line 1378, in test_comprehensive
2025-12-04T09:58:50.9199837Z     raise e
2025-12-04T09:58:50.9200206Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py", line 1353, in test_comprehensive
2025-12-04T09:58:50.9200298Z     self.check_model_gpu(
2025-12-04T09:58:50.9200520Z   File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
2025-12-04T09:58:50.9200609Z     return func(*args, **kwds)
2025-12-04T09:58:50.9200931Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 692, in check_model_gpu
2025-12-04T09:58:50.9201023Z     check_model(
2025-12-04T09:58:50.9201327Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 647, in check_model
2025-12-04T09:58:50.9201424Z     self.assertEqual(
2025-12-04T09:58:50.9201768Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual
2025-12-04T09:58:50.9201900Z     return super().assertEqual(x, y, *args, **kwargs)
2025-12-04T09:58:50.9202752Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T09:58:50.9202979Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T09:58:50.9203099Z AssertionError: Tensor-likes are not close!
2025-12-04T09:58:50.9203112Z 
2025-12-04T09:58:50.9203210Z Mismatched elements: 1 / 96 (1.0%)
2025-12-04T09:58:50.9203472Z Greatest absolute difference: 3.814697265625e-05 at index (0, 7, 0, 1) (up to 1e-05 allowed)
2025-12-04T09:58:50.9203757Z Greatest relative difference: 0.0026721954345703125 at index (0, 7, 0, 1) (up to 0.001 allowed)
2025-12-04T09:58:50.9203761Z 
2025-12-04T09:58:50.9203858Z The failure occurred for item [0]
2025-12-04T09:58:50.9203862Z 
2025-12-04T09:58:50.9204061Z The above exception was the direct cause of the following exception:
2025-12-04T09:58:50.9204072Z 
2025-12-04T09:58:50.9204171Z Traceback (most recent call last):
2025-12-04T09:58:50.9204440Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 59, in testPartExecutor
2025-12-04T09:58:50.9204520Z     yield
2025-12-04T09:58:50.9204744Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 591, in run
2025-12-04T09:58:50.9204845Z     self._callTestMethod(testMethod)
2025-12-04T09:58:50.9205113Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 549, in _callTestMethod
2025-12-04T09:58:50.9205187Z     method()
2025-12-04T09:58:50.9205795Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper
2025-12-04T09:58:50.9205890Z     method(*args, **kwargs)
2025-12-04T09:58:50.9206278Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper
2025-12-04T09:58:50.9206373Z     method(*args, **kwargs)
2025-12-04T09:58:50.9206815Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 428, in instantiated_test
2025-12-04T09:58:50.9206914Z     result = test(self, **param_kwargs)
2025-12-04T09:58:50.9207303Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1736, in wrapper
2025-12-04T09:58:50.9207387Z     fn(*args, **kwargs)
2025-12-04T09:58:50.9207820Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1163, in test_wrapper
2025-12-04T09:58:50.9207915Z     raise e_tracked from e
2025-12-04T09:58:50.9208022Z Exception: Tensor-likes are not close!
2025-12-04T09:58:50.9208026Z 
2025-12-04T09:58:50.9208130Z Mismatched elements: 1 / 96 (1.0%)
2025-12-04T09:58:50.9208514Z Greatest absolute difference: 3.814697265625e-05 at index (0, 7, 0, 1) (up to 1e-05 allowed)
2025-12-04T09:58:50.9208784Z Greatest relative difference: 0.0026721954345703125 at index (0, 7, 0, 1) (up to 0.001 allowed)
2025-12-04T09:58:50.9208789Z 
2025-12-04T09:58:50.9208895Z The failure occurred for item [0]
2025-12-04T09:58:50.9208899Z 
2025-12-04T09:58:50.9209369Z Caused by sample input at index 8: SampleInput(input=Tensor[size=(1, 8, 4, 3), device="cuda:0", dtype=torch.float16], args=(5), kwargs={}, broadcasts_input=False, name='')
2025-12-04T09:58:50.9209374Z 
2025-12-04T09:58:50.9209559Z To execute this test, run the following from the base repo dir:
2025-12-04T09:58:50.9210155Z     PYTORCH_OPINFO_SAMPLE_INPUT_INDEX=8 python test/inductor/test_torchinductor_opinfo.py TestInductorOpInfoCUDA.test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16
2025-12-04T09:58:50.9210166Z 
2025-12-04T09:58:50.9210382Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T09:58:50.9210685Z _ TestInductorOpInfoCUDA.test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16 _
2025-12-04T09:58:50.9210785Z Traceback (most recent call last):
2025-12-04T09:58:50.9211221Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1151, in test_wrapper
2025-12-04T09:58:50.9211315Z     return test(*args, **kwargs)
2025-12-04T09:58:50.9211721Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1473, in only_fn
2025-12-04T09:58:50.9211824Z     return fn(self, *args, **kwargs)
2025-12-04T09:58:50.9212203Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 2464, in wrapper
2025-12-04T09:58:50.9212297Z     fn(*args, **kwargs)
2025-12-04T09:58:50.9212695Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1231, in dep_fn
2025-12-04T09:58:50.9212788Z     return fn(slf, *args, **kwargs)
2025-12-04T09:58:50.9213195Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1231, in dep_fn
2025-12-04T09:58:50.9213287Z     return fn(slf, *args, **kwargs)
2025-12-04T09:58:50.9213672Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1736, in wrapper
2025-12-04T09:58:50.9213753Z     fn(*args, **kwargs)
2025-12-04T09:58:50.9214129Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1647, in wrapper
2025-12-04T09:58:50.9214220Z     fn(*args, **kwargs)
2025-12-04T09:58:50.9214452Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/mock.py", line 1379, in patched
2025-12-04T09:58:50.9214645Z     return func(*newargs, **newkeywargs)
2025-12-04T09:58:50.9214867Z   File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
2025-12-04T09:58:50.9214959Z     return func(*args, **kwds)
2025-12-04T09:58:50.9215172Z   File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
2025-12-04T09:58:50.9215271Z     return func(*args, **kwds)
2025-12-04T09:58:50.9215480Z   File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
2025-12-04T09:58:50.9215577Z     return func(*args, **kwds)
2025-12-04T09:58:50.9215905Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py", line 1121, in inner
2025-12-04T09:58:50.9215976Z     raise e
2025-12-04T09:58:50.9216293Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py", line 1113, in inner
2025-12-04T09:58:50.9216385Z     fn(self, device, dtype, op)
2025-12-04T09:58:50.9216754Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py", line 1378, in test_comprehensive
2025-12-04T09:58:50.9216839Z     raise e
2025-12-04T09:58:50.9217206Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py", line 1353, in test_comprehensive
2025-12-04T09:58:50.9217300Z     self.check_model_gpu(
2025-12-04T09:58:50.9217600Z   File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
2025-12-04T09:58:50.9217693Z     return func(*args, **kwds)
2025-12-04T09:58:50.9218023Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 692, in check_model_gpu
2025-12-04T09:58:50.9218100Z     check_model(
2025-12-04T09:58:50.9218408Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 647, in check_model
2025-12-04T09:58:50.9218498Z     self.assertEqual(
2025-12-04T09:58:50.9218844Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual
2025-12-04T09:58:50.9218975Z     return super().assertEqual(x, y, *args, **kwargs)
2025-12-04T09:58:50.9219387Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T09:58:50.9219551Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T09:58:50.9219678Z AssertionError: Tensor-likes are not close!
2025-12-04T09:58:50.9219683Z 
2025-12-04T09:58:50.9219780Z Mismatched elements: 1 / 96 (1.0%)
2025-12-04T09:58:50.9220045Z Greatest absolute difference: 5.340576171875e-05 at index (0, 7, 0, 1) (up to 1e-05 allowed)
2025-12-04T09:58:50.9220314Z Greatest relative difference: 0.00373077392578125 at index (0, 7, 0, 1) (up to 0.001 allowed)
2025-12-04T09:58:50.9220319Z 
2025-12-04T09:58:50.9220414Z The failure occurred for item [0]
2025-12-04T09:58:50.9220418Z 
2025-12-04T09:58:50.9220616Z The above exception was the direct cause of the following exception:
2025-12-04T09:58:50.9220620Z 
2025-12-04T09:58:50.9220717Z Traceback (most recent call last):
2025-12-04T09:58:50.9220986Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 59, in testPartExecutor
2025-12-04T09:58:50.9221067Z     yield
2025-12-04T09:58:50.9221291Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 591, in run
2025-12-04T09:58:50.9221402Z     self._callTestMethod(testMethod)
2025-12-04T09:58:50.9221661Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 549, in _callTestMethod
2025-12-04T09:58:50.9221734Z     method()
2025-12-04T09:58:50.9222126Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper
2025-12-04T09:58:50.9222215Z     method(*args, **kwargs)
2025-12-04T09:58:50.9222595Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper
2025-12-04T09:58:50.9222689Z     method(*args, **kwargs)
2025-12-04T09:58:50.9223128Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 428, in instantiated_test
2025-12-04T09:58:50.9223351Z     result = test(self, **param_kwargs)
2025-12-04T09:58:50.9223729Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1736, in wrapper
2025-12-04T09:58:50.9223814Z     fn(*args, **kwargs)
2025-12-04T09:58:50.9224237Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1163, in test_wrapper
2025-12-04T09:58:50.9224327Z     raise e_tracked from e
2025-12-04T09:58:50.9224431Z Exception: Tensor-likes are not close!
2025-12-04T09:58:50.9224436Z 
2025-12-04T09:58:50.9224534Z Mismatched elements: 1 / 96 (1.0%)
2025-12-04T09:58:50.9224794Z Greatest absolute difference: 5.340576171875e-05 at index (0, 7, 0, 1) (up to 1e-05 allowed)
2025-12-04T09:58:50.9225128Z Greatest relative difference: 0.00373077392578125 at index (0, 7, 0, 1) (up to 0.001 allowed)
2025-12-04T09:58:50.9225133Z 
2025-12-04T09:58:50.9225234Z The failure occurred for item [0]
2025-12-04T09:58:50.9225244Z 
2025-12-04T09:58:50.9225716Z Caused by sample input at index 8: SampleInput(input=Tensor[size=(1, 8, 4, 3), device="cuda:0", dtype=torch.float16], args=(5), kwargs={}, broadcasts_input=False, name='')
2025-12-04T09:58:50.9225727Z 
2025-12-04T09:58:50.9225986Z To execute this test, run the following from the base repo dir:
2025-12-04T09:58:50.9226586Z     PYTORCH_OPINFO_SAMPLE_INPUT_INDEX=8 python test/inductor/test_torchinductor_opinfo.py TestInductorOpInfoCUDA.test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16
2025-12-04T09:58:50.9226591Z 
2025-12-04T09:58:50.9226807Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T09:58:50.9227102Z _ TestInductorOpInfoCUDA.test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16 _
2025-12-04T09:58:50.9227199Z Traceback (most recent call last):
2025-12-04T09:58:50.9227630Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1151, in test_wrapper
2025-12-04T09:58:50.9227728Z     return test(*args, **kwargs)
2025-12-04T09:58:50.9228136Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1473, in only_fn
2025-12-04T09:58:50.9228233Z     return fn(self, *args, **kwargs)
2025-12-04T09:58:50.9228612Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 2464, in wrapper
2025-12-04T09:58:50.9228700Z     fn(*args, **kwargs)
2025-12-04T09:58:50.9229097Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1231, in dep_fn
2025-12-04T09:58:50.9229193Z     return fn(slf, *args, **kwargs)
2025-12-04T09:58:50.9229589Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1231, in dep_fn
2025-12-04T09:58:50.9229681Z     return fn(slf, *args, **kwargs)
2025-12-04T09:58:50.9230065Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1736, in wrapper
2025-12-04T09:58:50.9230152Z     fn(*args, **kwargs)
2025-12-04T09:58:50.9230536Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1647, in wrapper
2025-12-04T09:58:50.9230625Z     fn(*args, **kwargs)
2025-12-04T09:58:50.9230858Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/mock.py", line 1379, in patched
2025-12-04T09:58:50.9230963Z     return func(*newargs, **newkeywargs)
2025-12-04T09:58:50.9231174Z   File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
2025-12-04T09:58:50.9231263Z     return func(*args, **kwds)
2025-12-04T09:58:50.9231480Z   File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
2025-12-04T09:58:50.9231573Z     return func(*args, **kwds)
2025-12-04T09:58:50.9231782Z   File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
2025-12-04T09:58:50.9231958Z     return func(*args, **kwds)
2025-12-04T09:58:50.9232272Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py", line 1121, in inner
2025-12-04T09:58:50.9232346Z     raise e
2025-12-04T09:58:50.9232669Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py", line 1113, in inner
2025-12-04T09:58:50.9232761Z     fn(self, device, dtype, op)
2025-12-04T09:58:50.9233134Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py", line 1378, in test_comprehensive
2025-12-04T09:58:50.9233205Z     raise e
2025-12-04T09:58:50.9233572Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py", line 1353, in test_comprehensive
2025-12-04T09:58:50.9233668Z     self.check_model_gpu(
2025-12-04T09:58:50.9233883Z   File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
2025-12-04T09:58:50.9233973Z     return func(*args, **kwds)
2025-12-04T09:58:50.9234303Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 692, in check_model_gpu
2025-12-04T09:58:50.9234382Z     check_model(
2025-12-04T09:58:50.9234691Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 647, in check_model
2025-12-04T09:58:50.9234776Z     self.assertEqual(
2025-12-04T09:58:50.9235211Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual
2025-12-04T09:58:50.9235356Z     return super().assertEqual(x, y, *args, **kwargs)
2025-12-04T09:58:50.9235756Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T09:58:50.9235920Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T09:58:50.9236043Z AssertionError: Tensor-likes are not close!
2025-12-04T09:58:50.9236048Z 
2025-12-04T09:58:50.9236143Z Mismatched elements: 1 / 96 (1.0%)
2025-12-04T09:58:50.9236411Z Greatest absolute difference: 3.814697265625e-05 at index (0, 7, 0, 1) (up to 1e-05 allowed)
2025-12-04T09:58:50.9236684Z Greatest relative difference: 0.0026721954345703125 at index (0, 7, 0, 1) (up to 0.001 allowed)
2025-12-04T09:58:50.9236688Z 
2025-12-04T09:58:50.9236783Z The failure occurred for item [0]
2025-12-04T09:58:50.9236788Z 
2025-12-04T09:58:50.9236993Z The above exception was the direct cause of the following exception:
2025-12-04T09:58:50.9236997Z 
2025-12-04T09:58:50.9237093Z Traceback (most recent call last):
2025-12-04T09:58:50.9237365Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 59, in testPartExecutor
2025-12-04T09:58:50.9237436Z     yield
2025-12-04T09:58:50.9237657Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 591, in run
2025-12-04T09:58:50.9237763Z     self._callTestMethod(testMethod)
2025-12-04T09:58:50.9238022Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 549, in _callTestMethod
2025-12-04T09:58:50.9238095Z     method()
2025-12-04T09:58:50.9238489Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper
2025-12-04T09:58:50.9238581Z     method(*args, **kwargs)
2025-12-04T09:58:50.9238970Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper
2025-12-04T09:58:50.9239060Z     method(*args, **kwargs)
2025-12-04T09:58:50.9239502Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 428, in instantiated_test
2025-12-04T09:58:50.9239608Z     result = test(self, **param_kwargs)
2025-12-04T09:58:50.9239988Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1736, in wrapper
2025-12-04T09:58:50.9240079Z     fn(*args, **kwargs)
2025-12-04T09:58:50.9240497Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1163, in test_wrapper
2025-12-04T09:58:50.9240587Z     raise e_tracked from e
2025-12-04T09:58:50.9240888Z Exception: Tensor-likes are not close!
2025-12-04T09:58:50.9240893Z 
2025-12-04T09:58:50.9240989Z Mismatched elements: 1 / 96 (1.0%)
2025-12-04T09:58:50.9241255Z Greatest absolute difference: 3.814697265625e-05 at index (0, 7, 0, 1) (up to 1e-05 allowed)
2025-12-04T09:58:50.9241536Z Greatest relative difference: 0.0026721954345703125 at index (0, 7, 0, 1) (up to 0.001 allowed)
2025-12-04T09:58:50.9241541Z 
2025-12-04T09:58:50.9241636Z The failure occurred for item [0]
2025-12-04T09:58:50.9241640Z 
2025-12-04T09:58:50.9242115Z Caused by sample input at index 8: SampleInput(input=Tensor[size=(1, 8, 4, 3), device="cuda:0", dtype=torch.float16], args=(5), kwargs={}, broadcasts_input=False, name='')
2025-12-04T09:58:50.9242120Z 
2025-12-04T09:58:50.9242289Z To execute this test, run the following from the base repo dir:
2025-12-04T09:58:50.9242887Z     PYTORCH_OPINFO_SAMPLE_INPUT_INDEX=8 python test/inductor/test_torchinductor_opinfo.py TestInductorOpInfoCUDA.test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16
2025-12-04T09:58:50.9242904Z 
2025-12-04T09:58:50.9243117Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T09:58:50.9243493Z _ TestInductorOpInfoCUDA.test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16 _
2025-12-04T09:58:50.9243598Z Traceback (most recent call last):
2025-12-04T09:58:50.9244023Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1151, in test_wrapper
2025-12-04T09:58:50.9244116Z     return test(*args, **kwargs)
2025-12-04T09:58:50.9244526Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1473, in only_fn
2025-12-04T09:58:50.9244620Z     return fn(self, *args, **kwargs)
2025-12-04T09:58:50.9245005Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 2464, in wrapper
2025-12-04T09:58:50.9245087Z     fn(*args, **kwargs)
2025-12-04T09:58:50.9245489Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1231, in dep_fn
2025-12-04T09:58:50.9245587Z     return fn(slf, *args, **kwargs)
2025-12-04T09:58:50.9245987Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1231, in dep_fn
2025-12-04T09:58:50.9246079Z     return fn(slf, *args, **kwargs)
2025-12-04T09:58:50.9246466Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1736, in wrapper
2025-12-04T09:58:50.9246547Z     fn(*args, **kwargs)
2025-12-04T09:58:50.9246930Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1647, in wrapper
2025-12-04T09:58:50.9247015Z     fn(*args, **kwargs)
2025-12-04T09:58:50.9247248Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/mock.py", line 1379, in patched
2025-12-04T09:58:50.9247358Z     return func(*newargs, **newkeywargs)
2025-12-04T09:58:50.9247570Z   File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
2025-12-04T09:58:50.9247661Z     return func(*args, **kwds)
2025-12-04T09:58:50.9247882Z   File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
2025-12-04T09:58:50.9247972Z     return func(*args, **kwds)
2025-12-04T09:58:50.9248188Z   File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
2025-12-04T09:58:50.9248275Z     return func(*args, **kwds)
2025-12-04T09:58:50.9248588Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py", line 1121, in inner
2025-12-04T09:58:50.9248667Z     raise e
2025-12-04T09:58:50.9248979Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py", line 1113, in inner
2025-12-04T09:58:50.9249071Z     fn(self, device, dtype, op)
2025-12-04T09:58:50.9249446Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py", line 1378, in test_comprehensive
2025-12-04T09:58:50.9249610Z     raise e
2025-12-04T09:58:50.9249985Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py", line 1353, in test_comprehensive
2025-12-04T09:58:50.9250073Z     self.check_model_gpu(
2025-12-04T09:58:50.9250294Z   File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
2025-12-04T09:58:50.9250389Z     return func(*args, **kwds)
2025-12-04T09:58:50.9250719Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 692, in check_model_gpu
2025-12-04T09:58:50.9250794Z     check_model(
2025-12-04T09:58:50.9251104Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 647, in check_model
2025-12-04T09:58:50.9251189Z     self.assertEqual(
2025-12-04T09:58:50.9251537Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual
2025-12-04T09:58:50.9251668Z     return super().assertEqual(x, y, *args, **kwargs)
2025-12-04T09:58:50.9252071Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T09:58:50.9252240Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T09:58:50.9252440Z AssertionError: Tensor-likes are not close!
2025-12-04T09:58:50.9252445Z 
2025-12-04T09:58:50.9252541Z Mismatched elements: 1 / 96 (1.0%)
2025-12-04T09:58:50.9252807Z Greatest absolute difference: 3.814697265625e-05 at index (0, 7, 0, 1) (up to 1e-05 allowed)
2025-12-04T09:58:50.9253075Z Greatest relative difference: 0.0026645660400390625 at index (0, 7, 0, 1) (up to 0.001 allowed)
2025-12-04T09:58:50.9253080Z 
2025-12-04T09:58:50.9253181Z The failure occurred for item [0]
2025-12-04T09:58:50.9253185Z 
2025-12-04T09:58:50.9253375Z The above exception was the direct cause of the following exception:
2025-12-04T09:58:50.9253380Z 
2025-12-04T09:58:50.9253476Z Traceback (most recent call last):
2025-12-04T09:58:50.9253747Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 59, in testPartExecutor
2025-12-04T09:58:50.9253827Z     yield
2025-12-04T09:58:50.9254056Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 591, in run
2025-12-04T09:58:50.9254154Z     self._callTestMethod(testMethod)
2025-12-04T09:58:50.9254420Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 549, in _callTestMethod
2025-12-04T09:58:50.9254496Z     method()
2025-12-04T09:58:50.9254881Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper
2025-12-04T09:58:50.9254968Z     method(*args, **kwargs)
2025-12-04T09:58:50.9255356Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper
2025-12-04T09:58:50.9255441Z     method(*args, **kwargs)
2025-12-04T09:58:50.9255890Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 428, in instantiated_test
2025-12-04T09:58:50.9255992Z     result = test(self, **param_kwargs)
2025-12-04T09:58:50.9256370Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1736, in wrapper
2025-12-04T09:58:50.9256456Z     fn(*args, **kwargs)
2025-12-04T09:58:50.9256880Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1163, in test_wrapper
2025-12-04T09:58:50.9256968Z     raise e_tracked from e
2025-12-04T09:58:50.9257083Z Exception: Tensor-likes are not close!
2025-12-04T09:58:50.9257088Z 
2025-12-04T09:58:50.9257181Z Mismatched elements: 1 / 96 (1.0%)
2025-12-04T09:58:50.9257451Z Greatest absolute difference: 3.814697265625e-05 at index (0, 7, 0, 1) (up to 1e-05 allowed)
2025-12-04T09:58:50.9257719Z Greatest relative difference: 0.0026645660400390625 at index (0, 7, 0, 1) (up to 0.001 allowed)
2025-12-04T09:58:50.9257724Z 
2025-12-04T09:58:50.9257820Z The failure occurred for item [0]
2025-12-04T09:58:50.9257935Z 
2025-12-04T09:58:50.9258414Z Caused by sample input at index 8: SampleInput(input=Tensor[size=(1, 8, 4, 3), device="cuda:0", dtype=torch.float16], args=(5), kwargs={}, broadcasts_input=False, name='')
2025-12-04T09:58:50.9258419Z 
2025-12-04T09:58:50.9258593Z To execute this test, run the following from the base repo dir:
2025-12-04T09:58:50.9259197Z     PYTORCH_OPINFO_SAMPLE_INPUT_INDEX=8 python test/inductor/test_torchinductor_opinfo.py TestInductorOpInfoCUDA.test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16
2025-12-04T09:58:50.9259202Z 
2025-12-04T09:58:50.9259408Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T09:58:50.9259710Z _ TestInductorOpInfoCUDA.test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16 _
2025-12-04T09:58:50.9259807Z Traceback (most recent call last):
2025-12-04T09:58:50.9260234Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1151, in test_wrapper
2025-12-04T09:58:50.9260341Z     return test(*args, **kwargs)
2025-12-04T09:58:50.9260743Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1473, in only_fn
2025-12-04T09:58:50.9260837Z     return fn(self, *args, **kwargs)
2025-12-04T09:58:50.9261309Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 2464, in wrapper
2025-12-04T09:58:50.9261393Z     fn(*args, **kwargs)
2025-12-04T09:58:50.9261797Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1231, in dep_fn
2025-12-04T09:58:50.9261891Z     return fn(slf, *args, **kwargs)
2025-12-04T09:58:50.9262287Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1231, in dep_fn
2025-12-04T09:58:50.9262384Z     return fn(slf, *args, **kwargs)
2025-12-04T09:58:50.9262764Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1736, in wrapper
2025-12-04T09:58:50.9262850Z     fn(*args, **kwargs)
2025-12-04T09:58:50.9263235Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1647, in wrapper
2025-12-04T09:58:50.9263319Z     fn(*args, **kwargs)
2025-12-04T09:58:50.9263560Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/mock.py", line 1379, in patched
2025-12-04T09:58:50.9263663Z     return func(*newargs, **newkeywargs)
2025-12-04T09:58:50.9263873Z   File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
2025-12-04T09:58:50.9263970Z     return func(*args, **kwds)
2025-12-04T09:58:50.9264182Z   File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
2025-12-04T09:58:50.9264273Z     return func(*args, **kwds)
2025-12-04T09:58:50.9264489Z   File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
2025-12-04T09:58:50.9264584Z     return func(*args, **kwds)
2025-12-04T09:58:50.9264906Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py", line 1121, in inner
2025-12-04T09:58:50.9264977Z     raise e
2025-12-04T09:58:50.9265397Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py", line 1113, in inner
2025-12-04T09:58:50.9265496Z     fn(self, device, dtype, op)
2025-12-04T09:58:50.9265864Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py", line 1378, in test_comprehensive
2025-12-04T09:58:50.9265937Z     raise e
2025-12-04T09:58:50.9266309Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py", line 1353, in test_comprehensive
2025-12-04T09:58:50.9266397Z     self.check_model_gpu(
2025-12-04T09:58:50.9266617Z   File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
2025-12-04T09:58:50.9266705Z     return func(*args, **kwds)
2025-12-04T09:58:50.9267028Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 692, in check_model_gpu
2025-12-04T09:58:50.9267199Z     check_model(
2025-12-04T09:58:50.9267502Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 647, in check_model
2025-12-04T09:58:50.9267585Z     self.assertEqual(
2025-12-04T09:58:50.9267936Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual
2025-12-04T09:58:50.9268066Z     return super().assertEqual(x, y, *args, **kwargs)
2025-12-04T09:58:50.9268471Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T09:58:50.9268635Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T09:58:50.9268751Z AssertionError: Tensor-likes are not close!
2025-12-04T09:58:50.9268756Z 
2025-12-04T09:58:50.9268859Z Mismatched elements: 1 / 96 (1.0%)
2025-12-04T09:58:50.9269122Z Greatest absolute difference: 3.814697265625e-05 at index (0, 7, 0, 1) (up to 1e-05 allowed)
2025-12-04T09:58:50.9269395Z Greatest relative difference: 0.0026721954345703125 at index (0, 7, 0, 1) (up to 0.001 allowed)
2025-12-04T09:58:50.9269405Z 
2025-12-04T09:58:50.9269503Z The failure occurred for item [0]
2025-12-04T09:58:50.9269508Z 
2025-12-04T09:58:50.9269782Z The above exception was the direct cause of the following exception:
2025-12-04T09:58:50.9269787Z 
2025-12-04T09:58:50.9269892Z Traceback (most recent call last):
2025-12-04T09:58:50.9270164Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 59, in testPartExecutor
2025-12-04T09:58:50.9270235Z     yield
2025-12-04T09:58:50.9270463Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 591, in run
2025-12-04T09:58:50.9270563Z     self._callTestMethod(testMethod)
2025-12-04T09:58:50.9270823Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 549, in _callTestMethod
2025-12-04T09:58:50.9270905Z     method()
2025-12-04T09:58:50.9271292Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper
2025-12-04T09:58:50.9271379Z     method(*args, **kwargs)
2025-12-04T09:58:50.9271764Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper
2025-12-04T09:58:50.9271853Z     method(*args, **kwargs)
2025-12-04T09:58:50.9272298Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 428, in instantiated_test
2025-12-04T09:58:50.9272396Z     result = test(self, **param_kwargs)
2025-12-04T09:58:50.9272773Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1736, in wrapper
2025-12-04T09:58:50.9272858Z     fn(*args, **kwargs)
2025-12-04T09:58:50.9273277Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1163, in test_wrapper
2025-12-04T09:58:50.9273369Z     raise e_tracked from e
2025-12-04T09:58:50.9273480Z Exception: Tensor-likes are not close!
2025-12-04T09:58:50.9273485Z 
2025-12-04T09:58:50.9273577Z Mismatched elements: 1 / 96 (1.0%)
2025-12-04T09:58:50.9273843Z Greatest absolute difference: 3.814697265625e-05 at index (0, 7, 0, 1) (up to 1e-05 allowed)
2025-12-04T09:58:50.9274113Z Greatest relative difference: 0.0026721954345703125 at index (0, 7, 0, 1) (up to 0.001 allowed)
2025-12-04T09:58:50.9274118Z 
2025-12-04T09:58:50.9274212Z The failure occurred for item [0]
2025-12-04T09:58:50.9274223Z 
2025-12-04T09:58:50.9274693Z Caused by sample input at index 8: SampleInput(input=Tensor[size=(1, 8, 4, 3), device="cuda:0", dtype=torch.float16], args=(5), kwargs={}, broadcasts_input=False, name='')
2025-12-04T09:58:50.9274697Z 
2025-12-04T09:58:50.9274868Z To execute this test, run the following from the base repo dir:
2025-12-04T09:58:50.9275470Z     PYTORCH_OPINFO_SAMPLE_INPUT_INDEX=8 python test/inductor/test_torchinductor_opinfo.py TestInductorOpInfoCUDA.test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16
2025-12-04T09:58:50.9275558Z 
2025-12-04T09:58:50.9275768Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T09:58:50.9276072Z _ TestInductorOpInfoCUDA.test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16 _
2025-12-04T09:58:50.9276176Z Traceback (most recent call last):
2025-12-04T09:58:50.9276602Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1151, in test_wrapper
2025-12-04T09:58:50.9276701Z     return test(*args, **kwargs)
2025-12-04T09:58:50.9277105Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1473, in only_fn
2025-12-04T09:58:50.9277198Z     return fn(self, *args, **kwargs)
2025-12-04T09:58:50.9277585Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 2464, in wrapper
2025-12-04T09:58:50.9277669Z     fn(*args, **kwargs)
2025-12-04T09:58:50.9278078Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1231, in dep_fn
2025-12-04T09:58:50.9278170Z     return fn(slf, *args, **kwargs)
2025-12-04T09:58:50.9278646Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1231, in dep_fn
2025-12-04T09:58:50.9278746Z     return fn(slf, *args, **kwargs)
2025-12-04T09:58:50.9279125Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1736, in wrapper
2025-12-04T09:58:50.9279214Z     fn(*args, **kwargs)
2025-12-04T09:58:50.9279594Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1647, in wrapper
2025-12-04T09:58:50.9279676Z     fn(*args, **kwargs)
2025-12-04T09:58:50.9279918Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/mock.py", line 1379, in patched
2025-12-04T09:58:50.9280021Z     return func(*newargs, **newkeywargs)
2025-12-04T09:58:50.9280240Z   File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
2025-12-04T09:58:50.9280338Z     return func(*args, **kwds)
2025-12-04T09:58:50.9280550Z   File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
2025-12-04T09:58:50.9280645Z     return func(*args, **kwds)
2025-12-04T09:58:50.9280862Z   File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
2025-12-04T09:58:50.9280951Z     return func(*args, **kwds)
2025-12-04T09:58:50.9281272Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py", line 1121, in inner
2025-12-04T09:58:50.9281345Z     raise e
2025-12-04T09:58:50.9281656Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py", line 1113, in inner
2025-12-04T09:58:50.9281755Z     fn(self, device, dtype, op)
2025-12-04T09:58:50.9282124Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py", line 1378, in test_comprehensive
2025-12-04T09:58:50.9282203Z     raise e
2025-12-04T09:58:50.9282580Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py", line 1353, in test_comprehensive
2025-12-04T09:58:50.9282668Z     self.check_model_gpu(
2025-12-04T09:58:50.9282892Z   File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
2025-12-04T09:58:50.9282982Z     return func(*args, **kwds)
2025-12-04T09:58:50.9283306Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 692, in check_model_gpu
2025-12-04T09:58:50.9283391Z     check_model(
2025-12-04T09:58:50.9283693Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 647, in check_model
2025-12-04T09:58:50.9283777Z     self.assertEqual(
2025-12-04T09:58:50.9284126Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual
2025-12-04T09:58:50.9284257Z     return super().assertEqual(x, y, *args, **kwargs)
2025-12-04T09:58:50.9284744Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T09:58:50.9284909Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T09:58:50.9285025Z AssertionError: Tensor-likes are not close!
2025-12-04T09:58:50.9285034Z 
2025-12-04T09:58:50.9285135Z Mismatched elements: 1 / 96 (1.0%)
2025-12-04T09:58:50.9285395Z Greatest absolute difference: 5.340576171875e-05 at index (0, 7, 0, 1) (up to 1e-05 allowed)
2025-12-04T09:58:50.9285655Z Greatest relative difference: 0.00373077392578125 at index (0, 7, 0, 1) (up to 0.001 allowed)
2025-12-04T09:58:50.9285665Z 
2025-12-04T09:58:50.9285760Z The failure occurred for item [0]
2025-12-04T09:58:50.9285764Z 
2025-12-04T09:58:50.9285954Z The above exception was the direct cause of the following exception:
2025-12-04T09:58:50.9285958Z 
2025-12-04T09:58:50.9286059Z Traceback (most recent call last):
2025-12-04T09:58:50.9286326Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 59, in testPartExecutor
2025-12-04T09:58:50.9286406Z     yield
2025-12-04T09:58:50.9286634Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 591, in run
2025-12-04T09:58:50.9286732Z     self._callTestMethod(testMethod)
2025-12-04T09:58:50.9287109Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 549, in _callTestMethod
2025-12-04T09:58:50.9287183Z     method()
2025-12-04T09:58:50.9287571Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper
2025-12-04T09:58:50.9287664Z     method(*args, **kwargs)
2025-12-04T09:58:50.9288067Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper
2025-12-04T09:58:50.9288157Z     method(*args, **kwargs)
2025-12-04T09:58:50.9288628Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 428, in instantiated_test
2025-12-04T09:58:50.9288732Z     result = test(self, **param_kwargs)
2025-12-04T09:58:50.9289117Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1736, in wrapper
2025-12-04T09:58:50.9289197Z     fn(*args, **kwargs)
2025-12-04T09:58:50.9289622Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1163, in test_wrapper
2025-12-04T09:58:50.9289715Z     raise e_tracked from e
2025-12-04T09:58:50.9289820Z Exception: Tensor-likes are not close!
2025-12-04T09:58:50.9289825Z 
2025-12-04T09:58:50.9289924Z Mismatched elements: 1 / 96 (1.0%)
2025-12-04T09:58:50.9290183Z Greatest absolute difference: 5.340576171875e-05 at index (0, 7, 0, 1) (up to 1e-05 allowed)
2025-12-04T09:58:50.9290441Z Greatest relative difference: 0.00373077392578125 at index (0, 7, 0, 1) (up to 0.001 allowed)
2025-12-04T09:58:50.9290446Z 
2025-12-04T09:58:50.9290545Z The failure occurred for item [0]
2025-12-04T09:58:50.9290554Z 
2025-12-04T09:58:50.9291022Z Caused by sample input at index 8: SampleInput(input=Tensor[size=(1, 8, 4, 3), device="cuda:0", dtype=torch.float16], args=(5), kwargs={}, broadcasts_input=False, name='')
2025-12-04T09:58:50.9291027Z 
2025-12-04T09:58:50.9291207Z To execute this test, run the following from the base repo dir:
2025-12-04T09:58:50.9291805Z     PYTORCH_OPINFO_SAMPLE_INPUT_INDEX=8 python test/inductor/test_torchinductor_opinfo.py TestInductorOpInfoCUDA.test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16
2025-12-04T09:58:50.9291810Z 
2025-12-04T09:58:50.9292016Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T09:58:50.9292317Z _ TestInductorOpInfoCUDA.test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16 _
2025-12-04T09:58:50.9292414Z Traceback (most recent call last):
2025-12-04T09:58:50.9292850Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1151, in test_wrapper
2025-12-04T09:58:50.9293028Z     return test(*args, **kwargs)
2025-12-04T09:58:50.9293433Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1473, in only_fn
2025-12-04T09:58:50.9293533Z     return fn(self, *args, **kwargs)
2025-12-04T09:58:50.9293918Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 2464, in wrapper
2025-12-04T09:58:50.9294000Z     fn(*args, **kwargs)
2025-12-04T09:58:50.9294407Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1231, in dep_fn
2025-12-04T09:58:50.9294497Z     return fn(slf, *args, **kwargs)
2025-12-04T09:58:50.9294895Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1231, in dep_fn
2025-12-04T09:58:50.9294989Z     return fn(slf, *args, **kwargs)
2025-12-04T09:58:50.9295367Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1736, in wrapper
2025-12-04T09:58:50.9295462Z     fn(*args, **kwargs)
2025-12-04T09:58:50.9295838Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1647, in wrapper
2025-12-04T09:58:50.9296005Z     fn(*args, **kwargs)
2025-12-04T09:58:50.9296247Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/mock.py", line 1379, in patched
2025-12-04T09:58:50.9296348Z     return func(*newargs, **newkeywargs)
2025-12-04T09:58:50.9296566Z   File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
2025-12-04T09:58:50.9296656Z     return func(*args, **kwds)
2025-12-04T09:58:50.9296868Z   File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
2025-12-04T09:58:50.9296967Z     return func(*args, **kwds)
2025-12-04T09:58:50.9297179Z   File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
2025-12-04T09:58:50.9297268Z     return func(*args, **kwds)
2025-12-04T09:58:50.9297595Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py", line 1121, in inner
2025-12-04T09:58:50.9304086Z     raise e
2025-12-04T09:58:50.9304444Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py", line 1113, in inner
2025-12-04T09:58:50.9304550Z     fn(self, device, dtype, op)
2025-12-04T09:58:50.9304935Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py", line 1378, in test_comprehensive
2025-12-04T09:58:50.9305011Z     raise e
2025-12-04T09:58:50.9305539Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py", line 1353, in test_comprehensive
2025-12-04T09:58:50.9305641Z     self.check_model_gpu(
2025-12-04T09:58:50.9305861Z   File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
2025-12-04T09:58:50.9305962Z     return func(*args, **kwds)
2025-12-04T09:58:50.9306292Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 692, in check_model_gpu
2025-12-04T09:58:50.9306377Z     check_model(
2025-12-04T09:58:50.9306689Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 647, in check_model
2025-12-04T09:58:50.9306776Z     self.assertEqual(
2025-12-04T09:58:50.9307129Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual
2025-12-04T09:58:50.9307270Z     return super().assertEqual(x, y, *args, **kwargs)
2025-12-04T09:58:50.9307673Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T09:58:50.9307847Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T09:58:50.9307967Z AssertionError: Tensor-likes are not close!
2025-12-04T09:58:50.9307973Z 
2025-12-04T09:58:50.9308067Z Mismatched elements: 1 / 96 (1.0%)
2025-12-04T09:58:50.9308331Z Greatest absolute difference: 5.340576171875e-05 at index (7, 0, 1) (up to 1e-05 allowed)
2025-12-04T09:58:50.9308841Z Greatest relative difference: 0.00373077392578125 at index (7, 0, 1) (up to 0.001 allowed)
2025-12-04T09:58:50.9308846Z 
2025-12-04T09:58:50.9308952Z The failure occurred for item [0]
2025-12-04T09:58:50.9308957Z 
2025-12-04T09:58:50.9309152Z The above exception was the direct cause of the following exception:
2025-12-04T09:58:50.9309157Z 
2025-12-04T09:58:50.9309256Z Traceback (most recent call last):
2025-12-04T09:58:50.9309536Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 59, in testPartExecutor
2025-12-04T09:58:50.9309609Z     yield
2025-12-04T09:58:50.9309832Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 591, in run
2025-12-04T09:58:50.9309946Z     self._callTestMethod(testMethod)
2025-12-04T09:58:50.9310208Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 549, in _callTestMethod
2025-12-04T09:58:50.9310290Z     method()
2025-12-04T09:58:50.9310679Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper
2025-12-04T09:58:50.9310774Z     method(*args, **kwargs)
2025-12-04T09:58:50.9311166Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper
2025-12-04T09:58:50.9311375Z     method(*args, **kwargs)
2025-12-04T09:58:50.9311819Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 428, in instantiated_test
2025-12-04T09:58:50.9311926Z     result = test(self, **param_kwargs)
2025-12-04T09:58:50.9312309Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1736, in wrapper
2025-12-04T09:58:50.9312397Z     fn(*args, **kwargs)
2025-12-04T09:58:50.9312818Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1163, in test_wrapper
2025-12-04T09:58:50.9312909Z     raise e_tracked from e
2025-12-04T09:58:50.9313032Z Exception: Tensor-likes are not close!
2025-12-04T09:58:50.9313036Z 
2025-12-04T09:58:50.9313130Z Mismatched elements: 1 / 96 (1.0%)
2025-12-04T09:58:50.9313391Z Greatest absolute difference: 5.340576171875e-05 at index (7, 0, 1) (up to 1e-05 allowed)
2025-12-04T09:58:50.9313646Z Greatest relative difference: 0.00373077392578125 at index (7, 0, 1) (up to 0.001 allowed)
2025-12-04T09:58:50.9313651Z 
2025-12-04T09:58:50.9313746Z The failure occurred for item [0]
2025-12-04T09:58:50.9313751Z 
2025-12-04T09:58:50.9314225Z Caused by sample input at index 9: SampleInput(input=Tensor[size=(8, 4, 3), device="cuda:0", dtype=torch.float16], args=(5), kwargs={}, broadcasts_input=False, name='')
2025-12-04T09:58:50.9314231Z 
2025-12-04T09:58:50.9314404Z To execute this test, run the following from the base repo dir:
2025-12-04T09:58:50.9315012Z     PYTORCH_OPINFO_SAMPLE_INPUT_INDEX=9 python test/inductor/test_torchinductor_opinfo.py TestInductorOpInfoCUDA.test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16
2025-12-04T09:58:50.9315021Z 
2025-12-04T09:58:50.9315231Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T09:58:50.9315529Z _ TestInductorOpInfoCUDA.test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16 _
2025-12-04T09:58:50.9315642Z Traceback (most recent call last):
2025-12-04T09:58:50.9316071Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1151, in test_wrapper
2025-12-04T09:58:50.9316175Z     return test(*args, **kwargs)
2025-12-04T09:58:50.9316579Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1473, in only_fn
2025-12-04T09:58:50.9316676Z     return fn(self, *args, **kwargs)
2025-12-04T09:58:50.9317062Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 2464, in wrapper
2025-12-04T09:58:50.9317145Z     fn(*args, **kwargs)
2025-12-04T09:58:50.9317541Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1231, in dep_fn
2025-12-04T09:58:50.9317733Z     return fn(slf, *args, **kwargs)
2025-12-04T09:58:50.9318134Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1231, in dep_fn
2025-12-04T09:58:50.9318232Z     return fn(slf, *args, **kwargs)
2025-12-04T09:58:50.9318609Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1736, in wrapper
2025-12-04T09:58:50.9318691Z     fn(*args, **kwargs)
2025-12-04T09:58:50.9319074Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1647, in wrapper
2025-12-04T09:58:50.9319160Z     fn(*args, **kwargs)
2025-12-04T09:58:50.9319401Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/mock.py", line 1379, in patched
2025-12-04T09:58:50.9319504Z     return func(*newargs, **newkeywargs)
2025-12-04T09:58:50.9319722Z   File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
2025-12-04T09:58:50.9319824Z     return func(*args, **kwds)
2025-12-04T09:58:50.9320034Z   File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
2025-12-04T09:58:50.9320218Z     return func(*args, **kwds)
2025-12-04T09:58:50.9320437Z   File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
2025-12-04T09:58:50.9320526Z     return func(*args, **kwds)
2025-12-04T09:58:50.9320842Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py", line 1121, in inner
2025-12-04T09:58:50.9320922Z     raise e
2025-12-04T09:58:50.9321233Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py", line 1113, in inner
2025-12-04T09:58:50.9321332Z     fn(self, device, dtype, op)
2025-12-04T09:58:50.9321700Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py", line 1378, in test_comprehensive
2025-12-04T09:58:50.9321773Z     raise e
2025-12-04T09:58:50.9322154Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py", line 1353, in test_comprehensive
2025-12-04T09:58:50.9322242Z     self.check_model_gpu(
2025-12-04T09:58:50.9322459Z   File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
2025-12-04T09:58:50.9322559Z     return func(*args, **kwds)
2025-12-04T09:58:50.9322882Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 692, in check_model_gpu
2025-12-04T09:58:50.9322969Z     check_model(
2025-12-04T09:58:50.9323274Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 647, in check_model
2025-12-04T09:58:50.9323362Z     self.assertEqual(
2025-12-04T09:58:50.9323717Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual
2025-12-04T09:58:50.9323853Z     return super().assertEqual(x, y, *args, **kwargs)
2025-12-04T09:58:50.9324254Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T09:58:50.9324436Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T09:58:50.9324551Z AssertionError: Tensor-likes are not close!
2025-12-04T09:58:50.9324556Z 
2025-12-04T09:58:50.9324667Z Mismatched elements: 2 / 96 (2.1%)
2025-12-04T09:58:50.9324930Z Greatest absolute difference: 3.814697265625e-05 at index (0, 7, 0, 1) (up to 1e-05 allowed)
2025-12-04T09:58:50.9325199Z Greatest relative difference: 0.0026721954345703125 at index (0, 7, 0, 1) (up to 0.001 allowed)
2025-12-04T09:58:50.9325203Z 
2025-12-04T09:58:50.9325309Z The failure occurred for item [0]
2025-12-04T09:58:50.9325314Z 
2025-12-04T09:58:50.9325504Z The above exception was the direct cause of the following exception:
2025-12-04T09:58:50.9325509Z 
2025-12-04T09:58:50.9325615Z Traceback (most recent call last):
2025-12-04T09:58:50.9325880Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 59, in testPartExecutor
2025-12-04T09:58:50.9326041Z     yield
2025-12-04T09:58:50.9326269Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 591, in run
2025-12-04T09:58:50.9326371Z     self._callTestMethod(testMethod)
2025-12-04T09:58:50.9326635Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 549, in _callTestMethod
2025-12-04T09:58:50.9326720Z     method()
2025-12-04T09:58:50.9327108Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper
2025-12-04T09:58:50.9327207Z     method(*args, **kwargs)
2025-12-04T09:58:50.9327586Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper
2025-12-04T09:58:50.9327673Z     method(*args, **kwargs)
2025-12-04T09:58:50.9328125Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 428, in instantiated_test
2025-12-04T09:58:50.9328229Z     result = test(self, **param_kwargs)
2025-12-04T09:58:50.9328657Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1736, in wrapper
2025-12-04T09:58:50.9328748Z     fn(*args, **kwargs)
2025-12-04T09:58:50.9329298Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1163, in test_wrapper
2025-12-04T09:58:50.9329397Z     raise e_tracked from e
2025-12-04T09:58:50.9329503Z Exception: Tensor-likes are not close!
2025-12-04T09:58:50.9329508Z 
2025-12-04T09:58:50.9329603Z Mismatched elements: 2 / 96 (2.1%)
2025-12-04T09:58:50.9329871Z Greatest absolute difference: 3.814697265625e-05 at index (0, 7, 0, 1) (up to 1e-05 allowed)
2025-12-04T09:58:50.9330139Z Greatest relative difference: 0.0026721954345703125 at index (0, 7, 0, 1) (up to 0.001 allowed)
2025-12-04T09:58:50.9330144Z 
2025-12-04T09:58:50.9330248Z The failure occurred for item [0]
2025-12-04T09:58:50.9330252Z 
2025-12-04T09:58:50.9330721Z Caused by sample input at index 8: SampleInput(input=Tensor[size=(1, 8, 4, 3), device="cuda:0", dtype=torch.float16], args=(5), kwargs={}, broadcasts_input=False, name='')
2025-12-04T09:58:50.9330730Z 
2025-12-04T09:58:50.9330901Z To execute this test, run the following from the base repo dir:
2025-12-04T09:58:50.9331514Z     PYTORCH_OPINFO_SAMPLE_INPUT_INDEX=8 python test/inductor/test_torchinductor_opinfo.py TestInductorOpInfoCUDA.test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16
2025-12-04T09:58:50.9331519Z 
2025-12-04T09:58:50.9331729Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T09:58:50.9332026Z _ TestInductorOpInfoCUDA.test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16 _
2025-12-04T09:58:50.9332132Z Traceback (most recent call last):
2025-12-04T09:58:50.9332559Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1151, in test_wrapper
2025-12-04T09:58:50.9332660Z     return test(*args, **kwargs)
2025-12-04T09:58:50.9333067Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1473, in only_fn
2025-12-04T09:58:50.9333162Z     return fn(self, *args, **kwargs)
2025-12-04T09:58:50.9333554Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 2464, in wrapper
2025-12-04T09:58:50.9333636Z     fn(*args, **kwargs)
2025-12-04T09:58:50.9334042Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1231, in dep_fn
2025-12-04T09:58:50.9334136Z     return fn(slf, *args, **kwargs)
2025-12-04T09:58:50.9334530Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1231, in dep_fn
2025-12-04T09:58:50.9334633Z     return fn(slf, *args, **kwargs)
2025-12-04T09:58:50.9335013Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1736, in wrapper
2025-12-04T09:58:50.9335184Z     fn(*args, **kwargs)
2025-12-04T09:58:50.9335570Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1647, in wrapper
2025-12-04T09:58:50.9335651Z     fn(*args, **kwargs)
2025-12-04T09:58:50.9335901Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/mock.py", line 1379, in patched
2025-12-04T09:58:50.9336004Z     return func(*newargs, **newkeywargs)
2025-12-04T09:58:50.9336219Z   File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
2025-12-04T09:58:50.9336319Z     return func(*args, **kwds)
2025-12-04T09:58:50.9336533Z   File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
2025-12-04T09:58:50.9336626Z     return func(*args, **kwds)
2025-12-04T09:58:50.9336847Z   File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
2025-12-04T09:58:50.9336936Z     return func(*args, **kwds)
2025-12-04T09:58:50.9337253Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py", line 1121, in inner
2025-12-04T09:58:50.9337340Z     raise e
2025-12-04T09:58:50.9337654Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py", line 1113, in inner
2025-12-04T09:58:50.9337842Z     fn(self, device, dtype, op)
2025-12-04T09:58:50.9338238Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py", line 1378, in test_comprehensive
2025-12-04T09:58:50.9338315Z     raise e
2025-12-04T09:58:50.9338715Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py", line 1353, in test_comprehensive
2025-12-04T09:58:50.9338806Z     self.check_model_gpu(
2025-12-04T09:58:50.9339020Z   File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
2025-12-04T09:58:50.9339119Z     return func(*args, **kwds)
2025-12-04T09:58:50.9339443Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 692, in check_model_gpu
2025-12-04T09:58:50.9339537Z     check_model(
2025-12-04T09:58:50.9339842Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 647, in check_model
2025-12-04T09:58:50.9339929Z     self.assertEqual(
2025-12-04T09:58:50.9340288Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual
2025-12-04T09:58:50.9340420Z     return super().assertEqual(x, y, *args, **kwargs)
2025-12-04T09:58:50.9340823Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T09:58:50.9340995Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T09:58:50.9341113Z AssertionError: Tensor-likes are not close!
2025-12-04T09:58:50.9341118Z 
2025-12-04T09:58:50.9341223Z Mismatched elements: 1 / 96 (1.0%)
2025-12-04T09:58:50.9341483Z Greatest absolute difference: 3.814697265625e-05 at index (7, 0, 1) (up to 1e-05 allowed)
2025-12-04T09:58:50.9341743Z Greatest relative difference: 0.0026721954345703125 at index (7, 0, 1) (up to 0.001 allowed)
2025-12-04T09:58:50.9341752Z 
2025-12-04T09:58:50.9341857Z The failure occurred for item [0]
2025-12-04T09:58:50.9341862Z 
2025-12-04T09:58:50.9342052Z The above exception was the direct cause of the following exception:
2025-12-04T09:58:50.9342062Z 
2025-12-04T09:58:50.9342169Z Traceback (most recent call last):
2025-12-04T09:58:50.9342434Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 59, in testPartExecutor
2025-12-04T09:58:50.9342507Z     yield
2025-12-04T09:58:50.9342736Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 591, in run
2025-12-04T09:58:50.9342836Z     self._callTestMethod(testMethod)
2025-12-04T09:58:50.9343099Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 549, in _callTestMethod
2025-12-04T09:58:50.9343181Z     method()
2025-12-04T09:58:50.9343566Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper
2025-12-04T09:58:50.9343750Z     method(*args, **kwargs)
2025-12-04T09:58:50.9344130Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper
2025-12-04T09:58:50.9344217Z     method(*args, **kwargs)
2025-12-04T09:58:50.9344672Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 428, in instantiated_test
2025-12-04T09:58:50.9344770Z     result = test(self, **param_kwargs)
2025-12-04T09:58:50.9345294Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1736, in wrapper
2025-12-04T09:58:50.9345385Z     fn(*args, **kwargs)
2025-12-04T09:58:50.9345805Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1163, in test_wrapper
2025-12-04T09:58:50.9345901Z     raise e_tracked from e
2025-12-04T09:58:50.9346008Z Exception: Tensor-likes are not close!
2025-12-04T09:58:50.9346019Z 
2025-12-04T09:58:50.9346114Z Mismatched elements: 1 / 96 (1.0%)
2025-12-04T09:58:50.9346376Z Greatest absolute difference: 3.814697265625e-05 at index (7, 0, 1) (up to 1e-05 allowed)
2025-12-04T09:58:50.9346727Z Greatest relative difference: 0.0026721954345703125 at index (7, 0, 1) (up to 0.001 allowed)
2025-12-04T09:58:50.9346731Z 
2025-12-04T09:58:50.9346836Z The failure occurred for item [0]
2025-12-04T09:58:50.9346840Z 
2025-12-04T09:58:50.9347308Z Caused by sample input at index 9: SampleInput(input=Tensor[size=(8, 4, 3), device="cuda:0", dtype=torch.float16], args=(5), kwargs={}, broadcasts_input=False, name='')
2025-12-04T09:58:50.9347314Z 
2025-12-04T09:58:50.9347485Z To execute this test, run the following from the base repo dir:
2025-12-04T09:58:50.9348089Z     PYTORCH_OPINFO_SAMPLE_INPUT_INDEX=9 python test/inductor/test_torchinductor_opinfo.py TestInductorOpInfoCUDA.test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16
2025-12-04T09:58:50.9348094Z 
2025-12-04T09:58:50.9348308Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T09:58:50.9348612Z _ TestInductorOpInfoCUDA.test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16 _
2025-12-04T09:58:50.9348708Z Traceback (most recent call last):
2025-12-04T09:58:50.9349140Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1151, in test_wrapper
2025-12-04T09:58:50.9349239Z     return test(*args, **kwargs)
2025-12-04T09:58:50.9349643Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1473, in only_fn
2025-12-04T09:58:50.9349745Z     return fn(self, *args, **kwargs)
2025-12-04T09:58:50.9350128Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 2464, in wrapper
2025-12-04T09:58:50.9350209Z     fn(*args, **kwargs)
2025-12-04T09:58:50.9350614Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1231, in dep_fn
2025-12-04T09:58:50.9350709Z     return fn(slf, *args, **kwargs)
2025-12-04T09:58:50.9351105Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1231, in dep_fn
2025-12-04T09:58:50.9351211Z     return fn(slf, *args, **kwargs)
2025-12-04T09:58:50.9351590Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1736, in wrapper
2025-12-04T09:58:50.9351680Z     fn(*args, **kwargs)
2025-12-04T09:58:50.9352058Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1647, in wrapper
2025-12-04T09:58:50.9352139Z     fn(*args, **kwargs)
2025-12-04T09:58:50.9352381Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/mock.py", line 1379, in patched
2025-12-04T09:58:50.9352483Z     return func(*newargs, **newkeywargs)
2025-12-04T09:58:50.9352696Z   File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
2025-12-04T09:58:50.9352884Z     return func(*args, **kwds)
2025-12-04T09:58:50.9353099Z   File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
2025-12-04T09:58:50.9353197Z     return func(*args, **kwds)
2025-12-04T09:58:50.9353414Z   File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
2025-12-04T09:58:50.9353505Z     return func(*args, **kwds)
2025-12-04T09:58:50.9353832Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py", line 1121, in inner
2025-12-04T09:58:50.9353905Z     raise e
2025-12-04T09:58:50.9354218Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py", line 1113, in inner
2025-12-04T09:58:50.9354317Z     fn(self, device, dtype, op)
2025-12-04T09:58:50.9354689Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py", line 1378, in test_comprehensive
2025-12-04T09:58:50.9354771Z     raise e
2025-12-04T09:58:50.9355146Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py", line 1353, in test_comprehensive
2025-12-04T09:58:50.9355235Z     self.check_model_gpu(
2025-12-04T09:58:50.9355458Z   File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
2025-12-04T09:58:50.9355631Z     return func(*args, **kwds)
2025-12-04T09:58:50.9355960Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 692, in check_model_gpu
2025-12-04T09:58:50.9356047Z     check_model(
2025-12-04T09:58:50.9356353Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 647, in check_model
2025-12-04T09:58:50.9356449Z     self.assertEqual(
2025-12-04T09:58:50.9356793Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual
2025-12-04T09:58:50.9356926Z     return super().assertEqual(x, y, *args, **kwargs)
2025-12-04T09:58:50.9357335Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T09:58:50.9357505Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T09:58:50.9357622Z AssertionError: Tensor-likes are not close!
2025-12-04T09:58:50.9357626Z 
2025-12-04T09:58:50.9357741Z Mismatched elements: 1 / 96 (1.0%)
2025-12-04T09:58:50.9357997Z Greatest absolute difference: 3.814697265625e-05 at index (7, 0, 1) (up to 1e-05 allowed)
2025-12-04T09:58:50.9358267Z Greatest relative difference: 0.0026721954345703125 at index (7, 0, 1) (up to 0.001 allowed)
2025-12-04T09:58:50.9358271Z 
2025-12-04T09:58:50.9358368Z The failure occurred for item [0]
2025-12-04T09:58:50.9358372Z 
2025-12-04T09:58:50.9358565Z The above exception was the direct cause of the following exception:
2025-12-04T09:58:50.9358570Z 
2025-12-04T09:58:50.9358676Z Traceback (most recent call last):
2025-12-04T09:58:50.9358945Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 59, in testPartExecutor
2025-12-04T09:58:50.9359033Z     yield
2025-12-04T09:58:50.9359256Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 591, in run
2025-12-04T09:58:50.9359358Z     self._callTestMethod(testMethod)
2025-12-04T09:58:50.9359627Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 549, in _callTestMethod
2025-12-04T09:58:50.9359707Z     method()
2025-12-04T09:58:50.9360095Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper
2025-12-04T09:58:50.9360193Z     method(*args, **kwargs)
2025-12-04T09:58:50.9360576Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper
2025-12-04T09:58:50.9360671Z     method(*args, **kwargs)
2025-12-04T09:58:50.9361115Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 428, in instantiated_test
2025-12-04T09:58:50.9361215Z     result = test(self, **param_kwargs)
2025-12-04T09:58:50.9361761Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1736, in wrapper
2025-12-04T09:58:50.9361842Z     fn(*args, **kwargs)
2025-12-04T09:58:50.9362268Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1163, in test_wrapper
2025-12-04T09:58:50.9362365Z     raise e_tracked from e
2025-12-04T09:58:50.9362473Z Exception: Tensor-likes are not close!
2025-12-04T09:58:50.9362477Z 
2025-12-04T09:58:50.9362583Z Mismatched elements: 1 / 96 (1.0%)
2025-12-04T09:58:50.9362838Z Greatest absolute difference: 3.814697265625e-05 at index (7, 0, 1) (up to 1e-05 allowed)
2025-12-04T09:58:50.9363100Z Greatest relative difference: 0.0026721954345703125 at index (7, 0, 1) (up to 0.001 allowed)
2025-12-04T09:58:50.9363104Z 
2025-12-04T09:58:50.9363211Z The failure occurred for item [0]
2025-12-04T09:58:50.9363215Z 
2025-12-04T09:58:50.9363684Z Caused by sample input at index 9: SampleInput(input=Tensor[size=(8, 4, 3), device="cuda:0", dtype=torch.float16], args=(5), kwargs={}, broadcasts_input=False, name='')
2025-12-04T09:58:50.9363694Z 
2025-12-04T09:58:50.9363873Z To execute this test, run the following from the base repo dir:
2025-12-04T09:58:50.9364552Z     PYTORCH_OPINFO_SAMPLE_INPUT_INDEX=9 python test/inductor/test_torchinductor_opinfo.py TestInductorOpInfoCUDA.test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16
2025-12-04T09:58:50.9364557Z 
2025-12-04T09:58:50.9364768Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T09:58:50.9365074Z _ TestInductorOpInfoCUDA.test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16 _
2025-12-04T09:58:50.9365173Z Traceback (most recent call last):
2025-12-04T09:58:50.9365608Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1151, in test_wrapper
2025-12-04T09:58:50.9365706Z     return test(*args, **kwargs)
2025-12-04T09:58:50.9366117Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1473, in only_fn
2025-12-04T09:58:50.9366218Z     return fn(self, *args, **kwargs)
2025-12-04T09:58:50.9366606Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 2464, in wrapper
2025-12-04T09:58:50.9366696Z     fn(*args, **kwargs)
2025-12-04T09:58:50.9367100Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1231, in dep_fn
2025-12-04T09:58:50.9367196Z     return fn(slf, *args, **kwargs)
2025-12-04T09:58:50.9367602Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1231, in dep_fn
2025-12-04T09:58:50.9367692Z     return fn(slf, *args, **kwargs)
2025-12-04T09:58:50.9368073Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1736, in wrapper
2025-12-04T09:58:50.9368169Z     fn(*args, **kwargs)
2025-12-04T09:58:50.9368548Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1647, in wrapper
2025-12-04T09:58:50.9368638Z     fn(*args, **kwargs)
2025-12-04T09:58:50.9368877Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/mock.py", line 1379, in patched
2025-12-04T09:58:50.9368979Z     return func(*newargs, **newkeywargs)
2025-12-04T09:58:50.9369198Z   File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
2025-12-04T09:58:50.9369291Z     return func(*args, **kwds)
2025-12-04T09:58:50.9369513Z   File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
2025-12-04T09:58:50.9369636Z     return func(*args, **kwds)
2025-12-04T09:58:50.9369913Z   File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
2025-12-04T09:58:50.9370041Z     return func(*args, **kwds)
2025-12-04T09:58:50.9370434Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py", line 1121, in inner
2025-12-04T09:58:50.9370615Z     raise e
2025-12-04T09:58:50.9370934Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py", line 1113, in inner
2025-12-04T09:58:50.9371028Z     fn(self, device, dtype, op)
2025-12-04T09:58:50.9371403Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py", line 1378, in test_comprehensive
2025-12-04T09:58:50.9371482Z     raise e
2025-12-04T09:58:50.9371851Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py", line 1353, in test_comprehensive
2025-12-04T09:58:50.9371949Z     self.check_model_gpu(
2025-12-04T09:58:50.9372164Z   File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
2025-12-04T09:58:50.9372254Z     return func(*args, **kwds)
2025-12-04T09:58:50.9372588Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 692, in check_model_gpu
2025-12-04T09:58:50.9372664Z     check_model(
2025-12-04T09:58:50.9372978Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 647, in check_model
2025-12-04T09:58:50.9373072Z     self.assertEqual(
2025-12-04T09:58:50.9373417Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual
2025-12-04T09:58:50.9373649Z     return super().assertEqual(x, y, *args, **kwargs)
2025-12-04T09:58:50.9374053Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T09:58:50.9374218Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T09:58:50.9374344Z AssertionError: Tensor-likes are not close!
2025-12-04T09:58:50.9374349Z 
2025-12-04T09:58:50.9374448Z Mismatched elements: 1 / 96 (1.0%)
2025-12-04T09:58:50.9374703Z Greatest absolute difference: 3.814697265625e-05 at index (7, 0, 1) (up to 1e-05 allowed)
2025-12-04T09:58:50.9374979Z Greatest relative difference: 0.0026721954345703125 at index (7, 0, 1) (up to 0.001 allowed)
2025-12-04T09:58:50.9374988Z 
2025-12-04T09:58:50.9375084Z The failure occurred for item [0]
2025-12-04T09:58:50.9375088Z 
2025-12-04T09:58:50.9375292Z The above exception was the direct cause of the following exception:
2025-12-04T09:58:50.9375297Z 
2025-12-04T09:58:50.9375403Z Traceback (most recent call last):
2025-12-04T09:58:50.9375668Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 59, in testPartExecutor
2025-12-04T09:58:50.9375752Z     yield
2025-12-04T09:58:50.9375975Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 591, in run
2025-12-04T09:58:50.9376086Z     self._callTestMethod(testMethod)
2025-12-04T09:58:50.9376346Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 549, in _callTestMethod
2025-12-04T09:58:50.9376422Z     method()
2025-12-04T09:58:50.9376817Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper
2025-12-04T09:58:50.9376911Z     method(*args, **kwargs)
2025-12-04T09:58:50.9377293Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper
2025-12-04T09:58:50.9377392Z     method(*args, **kwargs)
2025-12-04T09:58:50.9377839Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 428, in instantiated_test
2025-12-04T09:58:50.9377948Z     result = test(self, **param_kwargs)
2025-12-04T09:58:50.9378330Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1736, in wrapper
2025-12-04T09:58:50.9378410Z     fn(*args, **kwargs)
2025-12-04T09:58:50.9378838Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1163, in test_wrapper
2025-12-04T09:58:50.9378928Z     raise e_tracked from e
2025-12-04T09:58:50.9379035Z Exception: Tensor-likes are not close!
2025-12-04T09:58:50.9379039Z 
2025-12-04T09:58:50.9379234Z Mismatched elements: 1 / 96 (1.0%)
2025-12-04T09:58:50.9379487Z Greatest absolute difference: 3.814697265625e-05 at index (7, 0, 1) (up to 1e-05 allowed)
2025-12-04T09:58:50.9379754Z Greatest relative difference: 0.0026721954345703125 at index (7, 0, 1) (up to 0.001 allowed)
2025-12-04T09:58:50.9379763Z 
2025-12-04T09:58:50.9379860Z The failure occurred for item [0]
2025-12-04T09:58:50.9379865Z 
2025-12-04T09:58:50.9380334Z Caused by sample input at index 9: SampleInput(input=Tensor[size=(8, 4, 3), device="cuda:0", dtype=torch.float16], args=(5), kwargs={}, broadcasts_input=False, name='')
2025-12-04T09:58:50.9380347Z 
2025-12-04T09:58:50.9380520Z To execute this test, run the following from the base repo dir:
2025-12-04T09:58:50.9381118Z     PYTORCH_OPINFO_SAMPLE_INPUT_INDEX=9 python test/inductor/test_torchinductor_opinfo.py TestInductorOpInfoCUDA.test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16
2025-12-04T09:58:50.9381123Z 
2025-12-04T09:58:50.9381344Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T09:58:50.9381648Z _ TestInductorOpInfoCUDA.test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16 _
2025-12-04T09:58:50.9381748Z Traceback (most recent call last):
2025-12-04T09:58:50.9382360Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1151, in test_wrapper
2025-12-04T09:58:50.9382459Z     return test(*args, **kwargs)
2025-12-04T09:58:50.9382874Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1473, in only_fn
2025-12-04T09:58:50.9382968Z     return fn(self, *args, **kwargs)
2025-12-04T09:58:50.9383350Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 2464, in wrapper
2025-12-04T09:58:50.9383443Z     fn(*args, **kwargs)
2025-12-04T09:58:50.9383841Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1231, in dep_fn
2025-12-04T09:58:50.9383951Z     return fn(slf, *args, **kwargs)
2025-12-04T09:58:50.9384346Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1231, in dep_fn
2025-12-04T09:58:50.9384442Z     return fn(slf, *args, **kwargs)
2025-12-04T09:58:50.9384829Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1736, in wrapper
2025-12-04T09:58:50.9384913Z     fn(*args, **kwargs)
2025-12-04T09:58:50.9385455Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1647, in wrapper
2025-12-04T09:58:50.9385545Z     fn(*args, **kwargs)
2025-12-04T09:58:50.9385781Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/mock.py", line 1379, in patched
2025-12-04T09:58:50.9385890Z     return func(*newargs, **newkeywargs)
2025-12-04T09:58:50.9386102Z   File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
2025-12-04T09:58:50.9386198Z     return func(*args, **kwds)
2025-12-04T09:58:50.9386417Z   File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
2025-12-04T09:58:50.9386509Z     return func(*args, **kwds)
2025-12-04T09:58:50.9386739Z   File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
2025-12-04T09:58:50.9386835Z     return func(*args, **kwds)
2025-12-04T09:58:50.9387149Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py", line 1121, in inner
2025-12-04T09:58:50.9392701Z     raise e
2025-12-04T09:58:50.9393037Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py", line 1113, in inner
2025-12-04T09:58:50.9393128Z     fn(self, device, dtype, op)
2025-12-04T09:58:50.9393504Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py", line 1378, in test_comprehensive
2025-12-04T09:58:50.9393579Z     raise e
2025-12-04T09:58:50.9393954Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py", line 1353, in test_comprehensive
2025-12-04T09:58:50.9394127Z     self.check_model_gpu(
2025-12-04T09:58:50.9394352Z   File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
2025-12-04T09:58:50.9394441Z     return func(*args, **kwds)
2025-12-04T09:58:50.9394782Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 692, in check_model_gpu
2025-12-04T09:58:50.9394862Z     check_model(
2025-12-04T09:58:50.9395167Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 647, in check_model
2025-12-04T09:58:50.9395280Z     self.assertEqual(
2025-12-04T09:58:50.9395638Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual
2025-12-04T09:58:50.9395769Z     return super().assertEqual(x, y, *args, **kwargs)
2025-12-04T09:58:50.9396175Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T09:58:50.9396350Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T09:58:50.9396465Z AssertionError: Tensor-likes are not close!
2025-12-04T09:58:50.9396470Z 
2025-12-04T09:58:50.9396570Z Mismatched elements: 1 / 96 (1.0%)
2025-12-04T09:58:50.9396926Z Greatest absolute difference: 2.288818359375e-05 at index (0, 2, 0, 1) (up to 1e-05 allowed)
2025-12-04T09:58:50.9397201Z Greatest relative difference: 0.0022182464599609375 at index (0, 2, 0, 1) (up to 0.001 allowed)
2025-12-04T09:58:50.9397206Z 
2025-12-04T09:58:50.9397306Z The failure occurred for item [0]
2025-12-04T09:58:50.9397310Z 
2025-12-04T09:58:50.9397500Z The above exception was the direct cause of the following exception:
2025-12-04T09:58:50.9397505Z 
2025-12-04T09:58:50.9397606Z Traceback (most recent call last):
2025-12-04T09:58:50.9397877Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 59, in testPartExecutor
2025-12-04T09:58:50.9397955Z     yield
2025-12-04T09:58:50.9398184Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 591, in run
2025-12-04T09:58:50.9398289Z     self._callTestMethod(testMethod)
2025-12-04T09:58:50.9398551Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 549, in _callTestMethod
2025-12-04T09:58:50.9398628Z     method()
2025-12-04T09:58:50.9399021Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper
2025-12-04T09:58:50.9399105Z     method(*args, **kwargs)
2025-12-04T09:58:50.9399495Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper
2025-12-04T09:58:50.9399581Z     method(*args, **kwargs)
2025-12-04T09:58:50.9400035Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 428, in instantiated_test
2025-12-04T09:58:50.9400130Z     result = test(self, **param_kwargs)
2025-12-04T09:58:50.9400512Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1736, in wrapper
2025-12-04T09:58:50.9400601Z     fn(*args, **kwargs)
2025-12-04T09:58:50.9401029Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1163, in test_wrapper
2025-12-04T09:58:50.9401119Z     raise e_tracked from e
2025-12-04T09:58:50.9401224Z Exception: Tensor-likes are not close!
2025-12-04T09:58:50.9401228Z 
2025-12-04T09:58:50.9401320Z Mismatched elements: 1 / 96 (1.0%)
2025-12-04T09:58:50.9401725Z Greatest absolute difference: 2.288818359375e-05 at index (0, 2, 0, 1) (up to 1e-05 allowed)
2025-12-04T09:58:50.9401998Z Greatest relative difference: 0.0022182464599609375 at index (0, 2, 0, 1) (up to 0.001 allowed)
2025-12-04T09:58:50.9402003Z 
2025-12-04T09:58:50.9402095Z The failure occurred for item [0]
2025-12-04T09:58:50.9402106Z 
2025-12-04T09:58:50.9402926Z Caused by sample input at index 8: SampleInput(input=Tensor[size=(1, 8, 4, 3), device="cuda:0", dtype=torch.float16], args=(5), kwargs={}, broadcasts_input=False, name='')
2025-12-04T09:58:50.9403024Z 
2025-12-04T09:58:50.9403202Z To execute this test, run the following from the base repo dir:
2025-12-04T09:58:50.9403810Z     PYTORCH_OPINFO_SAMPLE_INPUT_INDEX=8 python test/inductor/test_torchinductor_opinfo.py TestInductorOpInfoCUDA.test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16
2025-12-04T09:58:50.9403815Z 
2025-12-04T09:58:50.9404022Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T09:58:50.9404326Z _ TestInductorOpInfoCUDA.test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16 _
2025-12-04T09:58:50.9404423Z Traceback (most recent call last):
2025-12-04T09:58:50.9404848Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1151, in test_wrapper
2025-12-04T09:58:50.9404944Z     return test(*args, **kwargs)
2025-12-04T09:58:50.9405349Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1473, in only_fn
2025-12-04T09:58:50.9405440Z     return fn(self, *args, **kwargs)
2025-12-04T09:58:50.9405956Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 2464, in wrapper
2025-12-04T09:58:50.9406037Z     fn(*args, **kwargs)
2025-12-04T09:58:50.9406440Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1231, in dep_fn
2025-12-04T09:58:50.9406528Z     return fn(slf, *args, **kwargs)
2025-12-04T09:58:50.9406925Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1231, in dep_fn
2025-12-04T09:58:50.9407017Z     return fn(slf, *args, **kwargs)
2025-12-04T09:58:50.9407391Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1736, in wrapper
2025-12-04T09:58:50.9407476Z     fn(*args, **kwargs)
2025-12-04T09:58:50.9407853Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1647, in wrapper
2025-12-04T09:58:50.9407929Z     fn(*args, **kwargs)
2025-12-04T09:58:50.9408175Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/mock.py", line 1379, in patched
2025-12-04T09:58:50.9408276Z     return func(*newargs, **newkeywargs)
2025-12-04T09:58:50.9408485Z   File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
2025-12-04T09:58:50.9408577Z     return func(*args, **kwds)
2025-12-04T09:58:50.9408793Z   File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
2025-12-04T09:58:50.9408880Z     return func(*args, **kwds)
2025-12-04T09:58:50.9409092Z   File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
2025-12-04T09:58:50.9409178Z     return func(*args, **kwds)
2025-12-04T09:58:50.9409497Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py", line 1121, in inner
2025-12-04T09:58:50.9409568Z     raise e
2025-12-04T09:58:50.9409880Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py", line 1113, in inner
2025-12-04T09:58:50.9409975Z     fn(self, device, dtype, op)
2025-12-04T09:58:50.9410347Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py", line 1378, in test_comprehensive
2025-12-04T09:58:50.9410417Z     raise e
2025-12-04T09:58:50.9410789Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py", line 1353, in test_comprehensive
2025-12-04T09:58:50.9410968Z     self.check_model_gpu(
2025-12-04T09:58:50.9411186Z   File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
2025-12-04T09:58:50.9411272Z     return func(*args, **kwds)
2025-12-04T09:58:50.9411597Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 692, in check_model_gpu
2025-12-04T09:58:50.9411678Z     check_model(
2025-12-04T09:58:50.9411980Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 647, in check_model
2025-12-04T09:58:50.9412108Z     self.assertEqual(
2025-12-04T09:58:50.9412457Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual
2025-12-04T09:58:50.9412590Z     return super().assertEqual(x, y, *args, **kwargs)
2025-12-04T09:58:50.9412994Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T09:58:50.9413156Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T09:58:50.9413273Z AssertionError: Tensor-likes are not close!
2025-12-04T09:58:50.9413278Z 
2025-12-04T09:58:50.9413376Z Mismatched elements: 1 / 96 (1.0%)
2025-12-04T09:58:50.9413635Z Greatest absolute difference: 3.814697265625e-05 at index (0, 7, 0, 1) (up to 1e-05 allowed)
2025-12-04T09:58:50.9413901Z Greatest relative difference: 0.0026721954345703125 at index (0, 7, 0, 1) (up to 0.001 allowed)
2025-12-04T09:58:50.9413913Z 
2025-12-04T09:58:50.9414006Z The failure occurred for item [0]
2025-12-04T09:58:50.9414010Z 
2025-12-04T09:58:50.9414196Z The above exception was the direct cause of the following exception:
2025-12-04T09:58:50.9414201Z 
2025-12-04T09:58:50.9414299Z Traceback (most recent call last):
2025-12-04T09:58:50.9414647Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 59, in testPartExecutor
2025-12-04T09:58:50.9414719Z     yield
2025-12-04T09:58:50.9414944Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 591, in run
2025-12-04T09:58:50.9415044Z     self._callTestMethod(testMethod)
2025-12-04T09:58:50.9415306Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 549, in _callTestMethod
2025-12-04T09:58:50.9415375Z     method()
2025-12-04T09:58:50.9415757Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper
2025-12-04T09:58:50.9415845Z     method(*args, **kwargs)
2025-12-04T09:58:50.9416225Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper
2025-12-04T09:58:50.9416308Z     method(*args, **kwargs)
2025-12-04T09:58:50.9416756Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 428, in instantiated_test
2025-12-04T09:58:50.9416850Z     result = test(self, **param_kwargs)
2025-12-04T09:58:50.9417237Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1736, in wrapper
2025-12-04T09:58:50.9417322Z     fn(*args, **kwargs)
2025-12-04T09:58:50.9417743Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1163, in test_wrapper
2025-12-04T09:58:50.9417835Z     raise e_tracked from e
2025-12-04T09:58:50.9417937Z Exception: Tensor-likes are not close!
2025-12-04T09:58:50.9417941Z 
2025-12-04T09:58:50.9418034Z Mismatched elements: 1 / 96 (1.0%)
2025-12-04T09:58:50.9418341Z Greatest absolute difference: 3.814697265625e-05 at index (0, 7, 0, 1) (up to 1e-05 allowed)
2025-12-04T09:58:50.9418618Z Greatest relative difference: 0.0026721954345703125 at index (0, 7, 0, 1) (up to 0.001 allowed)
2025-12-04T09:58:50.9418622Z 
2025-12-04T09:58:50.9418727Z The failure occurred for item [0]
2025-12-04T09:58:50.9418731Z 
2025-12-04T09:58:50.9419196Z Caused by sample input at index 8: SampleInput(input=Tensor[size=(1, 8, 4, 3), device="cuda:0", dtype=torch.float16], args=(5), kwargs={}, broadcasts_input=False, name='')
2025-12-04T09:58:50.9419253Z 
2025-12-04T09:58:50.9419432Z To execute this test, run the following from the base repo dir:
2025-12-04T09:58:50.9420026Z     PYTORCH_OPINFO_SAMPLE_INPUT_INDEX=8 python test/inductor/test_torchinductor_opinfo.py TestInductorOpInfoCUDA.test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16
2025-12-04T09:58:50.9420031Z 
2025-12-04T09:58:50.9420237Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T09:58:50.9420581Z _ TestInductorOpInfoCUDA.test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16 _
2025-12-04T09:58:50.9420676Z Traceback (most recent call last):
2025-12-04T09:58:50.9421109Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1151, in test_wrapper
2025-12-04T09:58:50.9421198Z     return test(*args, **kwargs)
2025-12-04T09:58:50.9421602Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1473, in only_fn
2025-12-04T09:58:50.9421706Z     return fn(self, *args, **kwargs)
2025-12-04T09:58:50.9422085Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 2464, in wrapper
2025-12-04T09:58:50.9422164Z     fn(*args, **kwargs)
2025-12-04T09:58:50.9422564Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1231, in dep_fn
2025-12-04T09:58:50.9422656Z     return fn(slf, *args, **kwargs)
2025-12-04T09:58:50.9423057Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1231, in dep_fn
2025-12-04T09:58:50.9423145Z     return fn(slf, *args, **kwargs)
2025-12-04T09:58:50.9423621Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1736, in wrapper
2025-12-04T09:58:50.9423709Z     fn(*args, **kwargs)
2025-12-04T09:58:50.9424085Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1647, in wrapper
2025-12-04T09:58:50.9424165Z     fn(*args, **kwargs)
2025-12-04T09:58:50.9424403Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/mock.py", line 1379, in patched
2025-12-04T09:58:50.9424503Z     return func(*newargs, **newkeywargs)
2025-12-04T09:58:50.9424722Z   File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
2025-12-04T09:58:50.9424811Z     return func(*args, **kwds)
2025-12-04T09:58:50.9425020Z   File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
2025-12-04T09:58:50.9425218Z     return func(*args, **kwds)
2025-12-04T09:58:50.9425433Z   File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
2025-12-04T09:58:50.9425518Z     return func(*args, **kwds)
2025-12-04T09:58:50.9425844Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py", line 1121, in inner
2025-12-04T09:58:50.9425914Z     raise e
2025-12-04T09:58:50.9426233Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py", line 1113, in inner
2025-12-04T09:58:50.9426324Z     fn(self, device, dtype, op)
2025-12-04T09:58:50.9426693Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py", line 1378, in test_comprehensive
2025-12-04T09:58:50.9426770Z     raise e
2025-12-04T09:58:50.9427137Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py", line 1353, in test_comprehensive
2025-12-04T09:58:50.9427224Z     self.check_model_gpu(
2025-12-04T09:58:50.9427442Z   File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
2025-12-04T09:58:50.9427528Z     return func(*args, **kwds)
2025-12-04T09:58:50.9427860Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 692, in check_model_gpu
2025-12-04T09:58:50.9427933Z     check_model(
2025-12-04T09:58:50.9428236Z   File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 647, in check_model
2025-12-04T09:58:50.9428393Z     self.assertEqual(
2025-12-04T09:58:50.9428768Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual
2025-12-04T09:58:50.9428897Z     return super().assertEqual(x, y, *args, **kwargs)
2025-12-04T09:58:50.9429303Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T09:58:50.9429506Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T09:58:50.9429625Z AssertionError: Tensor-likes are not close!
2025-12-04T09:58:50.9429630Z 
2025-12-04T09:58:50.9429722Z Mismatched elements: 1 / 96 (1.0%)
2025-12-04T09:58:50.9429980Z Greatest absolute difference: 3.814697265625e-05 at index (7, 0, 1) (up to 1e-05 allowed)
2025-12-04T09:58:50.9430248Z Greatest relative difference: 0.0026721954345703125 at index (7, 0, 1) (up to 0.001 allowed)
2025-12-04T09:58:50.9430252Z 
2025-12-04T09:58:50.9430344Z The failure occurred for item [0]
2025-12-04T09:58:50.9430351Z 
2025-12-04T09:58:50.9430544Z The above exception was the direct cause of the following exception:
2025-12-04T09:58:50.9430549Z 
2025-12-04T09:58:50.9430642Z Traceback (most recent call last):
2025-12-04T09:58:50.9430906Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 59, in testPartExecutor
2025-12-04T09:58:50.9430980Z     yield
2025-12-04T09:58:50.9431198Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 591, in run
2025-12-04T09:58:50.9431297Z     self._callTestMethod(testMethod)
2025-12-04T09:58:50.9431560Z   File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 549, in _callTestMethod
2025-12-04T09:58:50.9431629Z     method()
2025-12-04T09:58:50.9432139Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper
2025-12-04T09:58:50.9432226Z     method(*args, **kwargs)
2025-12-04T09:58:50.9432605Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper
2025-12-04T09:58:50.9432696Z     method(*args, **kwargs)
2025-12-04T09:58:50.9433138Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 428, in instantiated_test
2025-12-04T09:58:50.9433233Z     result = test(self, **param_kwargs)
2025-12-04T09:58:50.9433618Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1736, in wrapper
2025-12-04T09:58:50.9433699Z     fn(*args, **kwargs)
2025-12-04T09:58:50.9434125Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1163, in test_wrapper
2025-12-04T09:58:50.9434212Z     raise e_tracked from e
2025-12-04T09:58:50.9434314Z Exception: Tensor-likes are not close!
2025-12-04T09:58:50.9434319Z 
2025-12-04T09:58:50.9434415Z Mismatched elements: 1 / 96 (1.0%)
2025-12-04T09:58:50.9434667Z Greatest absolute difference: 3.814697265625e-05 at index (7, 0, 1) (up to 1e-05 allowed)
2025-12-04T09:58:50.9434927Z Greatest relative difference: 0.0026721954345703125 at index (7, 0, 1) (up to 0.001 allowed)
2025-12-04T09:58:50.9434936Z 
2025-12-04T09:58:50.9435028Z The failure occurred for item [0]
2025-12-04T09:58:50.9435032Z 
2025-12-04T09:58:50.9435500Z Caused by sample input at index 9: SampleInput(input=Tensor[size=(8, 4, 3), device="cuda:0", dtype=torch.float16], args=(5), kwargs={}, broadcasts_input=False, name='')
2025-12-04T09:58:50.9435506Z 
2025-12-04T09:58:50.9435681Z To execute this test, run the following from the base repo dir:
2025-12-04T09:58:50.9436281Z     PYTORCH_OPINFO_SAMPLE_INPUT_INDEX=9 python test/inductor/test_torchinductor_opinfo.py TestInductorOpInfoCUDA.test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16
2025-12-04T09:58:50.9436286Z 
2025-12-04T09:58:50.9436498Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T09:58:50.9437125Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-ce064b265c066eff.xml -
2025-12-04T09:58:50.9437320Z =========================== short test summary info ============================
2025-12-04T09:58:50.9437975Z FAILED [4.6617s] inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16 - Exception: Tensor-likes are not close!
2025-12-04T09:58:50.9438018Z 
2025-12-04T09:58:50.9438111Z Mismatched elements: 1 / 96 (1.0%)
2025-12-04T09:58:50.9438376Z Greatest absolute difference: 3.814697265625e-05 at index (0, 7, 0, 1) (up to 1e-05 allowed)
2025-12-04T09:58:50.9438648Z Greatest relative difference: 0.0026721954345703125 at index (0, 7, 0, 1) (up to 0.001 allowed)
2025-12-04T09:58:50.9438653Z 
2025-12-04T09:58:50.9438744Z The failure occurred for item [0]
2025-12-04T09:58:50.9438748Z 
2025-12-04T09:58:50.9439219Z Caused by sample input at index 8: SampleInput(input=Tensor[size=(1, 8, 4, 3), device="cuda:0", dtype=torch.float16], args=(5), kwargs={}, broadcasts_input=False, name='')
2025-12-04T09:58:50.9439228Z 
2025-12-04T09:58:50.9439396Z To execute this test, run the following from the base repo dir:
2025-12-04T09:58:50.9439994Z     PYTORCH_OPINFO_SAMPLE_INPUT_INDEX=8 python test/inductor/test_torchinductor_opinfo.py TestInductorOpInfoCUDA.test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16
2025-12-04T09:58:50.9440002Z 
2025-12-04T09:58:50.9440210Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T09:58:50.9440912Z FAILED [3.3610s] inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16 - Exception: Tensor-likes are not close!
2025-12-04T09:58:50.9440918Z 
2025-12-04T09:58:50.9441010Z Mismatched elements: 1 / 96 (1.0%)
2025-12-04T09:58:50.9441261Z Greatest absolute difference: 3.814697265625e-05 at index (7, 0, 1) (up to 1e-05 allowed)
2025-12-04T09:58:50.9441524Z Greatest relative difference: 0.0026721954345703125 at index (7, 0, 1) (up to 0.001 allowed)
2025-12-04T09:58:50.9441528Z 
2025-12-04T09:58:50.9441618Z The failure occurred for item [0]
2025-12-04T09:58:50.9441623Z 
2025-12-04T09:58:50.9442090Z Caused by sample input at index 9: SampleInput(input=Tensor[size=(8, 4, 3), device="cuda:0", dtype=torch.float16], args=(5), kwargs={}, broadcasts_input=False, name='')
2025-12-04T09:58:50.9442098Z 
2025-12-04T09:58:50.9442269Z To execute this test, run the following from the base repo dir:
2025-12-04T09:58:50.9442858Z     PYTORCH_OPINFO_SAMPLE_INPUT_INDEX=9 python test/inductor/test_torchinductor_opinfo.py TestInductorOpInfoCUDA.test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16
2025-12-04T09:58:50.9442874Z 
2025-12-04T09:58:50.9443080Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T09:58:50.9443700Z FAILED [3.0079s] inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16 - Exception: Tensor-likes are not close!
2025-12-04T09:58:50.9443707Z 
2025-12-04T09:58:50.9443805Z Mismatched elements: 1 / 96 (1.0%)
2025-12-04T09:58:50.9444054Z Greatest absolute difference: 3.814697265625e-05 at index (7, 0, 1) (up to 1e-05 allowed)
2025-12-04T09:58:50.9444306Z Greatest relative difference: 0.0026721954345703125 at index (7, 0, 1) (up to 0.001 allowed)
2025-12-04T09:58:50.9444318Z 
2025-12-04T09:58:50.9444414Z The failure occurred for item [0]
2025-12-04T09:58:50.9444418Z 
2025-12-04T09:58:50.9444877Z Caused by sample input at index 9: SampleInput(input=Tensor[size=(8, 4, 3), device="cuda:0", dtype=torch.float16], args=(5), kwargs={}, broadcasts_input=False, name='')
2025-12-04T09:58:50.9444886Z 
2025-12-04T09:58:50.9445061Z To execute this test, run the following from the base repo dir:
2025-12-04T09:58:50.9445652Z     PYTORCH_OPINFO_SAMPLE_INPUT_INDEX=9 python test/inductor/test_torchinductor_opinfo.py TestInductorOpInfoCUDA.test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16
2025-12-04T09:58:50.9445705Z 
2025-12-04T09:58:50.9445917Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T09:58:50.9446530Z FAILED [3.0100s] inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16 - Exception: Tensor-likes are not close!
2025-12-04T09:58:50.9446535Z 
2025-12-04T09:58:50.9446673Z Mismatched elements: 1 / 96 (1.0%)
2025-12-04T09:58:50.9446928Z Greatest absolute difference: 3.814697265625e-05 at index (7, 0, 1) (up to 1e-05 allowed)
2025-12-04T09:58:50.9447181Z Greatest relative difference: 0.0026721954345703125 at index (7, 0, 1) (up to 0.001 allowed)
2025-12-04T09:58:50.9447185Z 
2025-12-04T09:58:50.9447288Z The failure occurred for item [0]
2025-12-04T09:58:50.9447292Z 
2025-12-04T09:58:50.9447751Z Caused by sample input at index 9: SampleInput(input=Tensor[size=(8, 4, 3), device="cuda:0", dtype=torch.float16], args=(5), kwargs={}, broadcasts_input=False, name='')
2025-12-04T09:58:50.9447759Z 
2025-12-04T09:58:50.9447932Z To execute this test, run the following from the base repo dir:
2025-12-04T09:58:50.9448575Z     PYTORCH_OPINFO_SAMPLE_INPUT_INDEX=9 python test/inductor/test_torchinductor_opinfo.py TestInductorOpInfoCUDA.test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16
2025-12-04T09:58:50.9448579Z 
2025-12-04T09:58:50.9448784Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T09:58:50.9449404Z FAILED [3.0063s] inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16 - Exception: Tensor-likes are not close!
2025-12-04T09:58:50.9449409Z 
2025-12-04T09:58:50.9449583Z Mismatched elements: 1 / 96 (1.0%)
2025-12-04T09:58:50.9449841Z Greatest absolute difference: 2.288818359375e-05 at index (2, 0, 1) (up to 1e-05 allowed)
2025-12-04T09:58:50.9450097Z Greatest relative difference: 0.0022182464599609375 at index (2, 0, 1) (up to 0.001 allowed)
2025-12-04T09:58:50.9450104Z 
2025-12-04T09:58:50.9450195Z The failure occurred for item [0]
2025-12-04T09:58:50.9450199Z 
2025-12-04T09:58:50.9450663Z Caused by sample input at index 9: SampleInput(input=Tensor[size=(8, 4, 3), device="cuda:0", dtype=torch.float16], args=(5), kwargs={}, broadcasts_input=False, name='')
2025-12-04T09:58:50.9450668Z 
2025-12-04T09:58:50.9450833Z To execute this test, run the following from the base repo dir:
2025-12-04T09:58:50.9451438Z     PYTORCH_OPINFO_SAMPLE_INPUT_INDEX=9 python test/inductor/test_torchinductor_opinfo.py TestInductorOpInfoCUDA.test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16
2025-12-04T09:58:50.9451442Z 
2025-12-04T09:58:50.9451649Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T09:58:50.9452266Z FAILED [3.0071s] inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16 - Exception: Tensor-likes are not close!
2025-12-04T09:58:50.9452273Z 
2025-12-04T09:58:50.9452365Z Mismatched elements: 1 / 96 (1.0%)
2025-12-04T09:58:50.9452618Z Greatest absolute difference: 3.814697265625e-05 at index (7, 0, 1) (up to 1e-05 allowed)
2025-12-04T09:58:50.9452871Z Greatest relative difference: 0.0026721954345703125 at index (7, 0, 1) (up to 0.001 allowed)
2025-12-04T09:58:50.9452876Z 
2025-12-04T09:58:50.9452966Z The failure occurred for item [0]
2025-12-04T09:58:50.9452973Z 
2025-12-04T09:58:50.9453435Z Caused by sample input at index 9: SampleInput(input=Tensor[size=(8, 4, 3), device="cuda:0", dtype=torch.float16], args=(5), kwargs={}, broadcasts_input=False, name='')
2025-12-04T09:58:50.9453440Z 
2025-12-04T09:58:50.9453611Z To execute this test, run the following from the base repo dir:
2025-12-04T09:58:50.9454207Z     PYTORCH_OPINFO_SAMPLE_INPUT_INDEX=9 python test/inductor/test_torchinductor_opinfo.py TestInductorOpInfoCUDA.test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16
2025-12-04T09:58:50.9454211Z 
2025-12-04T09:58:50.9454469Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T09:58:50.9455080Z FAILED [3.3386s] inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16 - Exception: Tensor-likes are not close!
2025-12-04T09:58:50.9455091Z 
2025-12-04T09:58:50.9455182Z Mismatched elements: 1 / 96 (1.0%)
2025-12-04T09:58:50.9455421Z Greatest absolute difference: 3.0517578125e-05 at index (7, 0, 1) (up to 1e-05 allowed)
2025-12-04T09:58:50.9455722Z Greatest relative difference: 0.002140045166015625 at index (7, 0, 1) (up to 0.001 allowed)
2025-12-04T09:58:50.9455726Z 
2025-12-04T09:58:50.9455817Z The failure occurred for item [0]
2025-12-04T09:58:50.9455821Z 
2025-12-04T09:58:50.9456284Z Caused by sample input at index 9: SampleInput(input=Tensor[size=(8, 4, 3), device="cuda:0", dtype=torch.float16], args=(5), kwargs={}, broadcasts_input=False, name='')
2025-12-04T09:58:50.9456298Z 
2025-12-04T09:58:50.9456468Z To execute this test, run the following from the base repo dir:
2025-12-04T09:58:50.9457059Z     PYTORCH_OPINFO_SAMPLE_INPUT_INDEX=9 python test/inductor/test_torchinductor_opinfo.py TestInductorOpInfoCUDA.test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16
2025-12-04T09:58:50.9457063Z 
2025-12-04T09:58:50.9457272Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T09:58:50.9457884Z FAILED [3.0360s] inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16 - Exception: Tensor-likes are not close!
2025-12-04T09:58:50.9457891Z 
2025-12-04T09:58:50.9457991Z Mismatched elements: 1 / 96 (1.0%)
2025-12-04T09:58:50.9458344Z Greatest absolute difference: 3.814697265625e-05 at index (7, 0, 1) (up to 1e-05 allowed)
2025-12-04T09:58:50.9458626Z Greatest relative difference: 0.0026721954345703125 at index (7, 0, 1) (up to 0.001 allowed)
2025-12-04T09:58:50.9458630Z 
2025-12-04T09:58:50.9458729Z The failure occurred for item [0]
2025-12-04T09:58:50.9458736Z 
2025-12-04T09:58:50.9459194Z Caused by sample input at index 9: SampleInput(input=Tensor[size=(8, 4, 3), device="cuda:0", dtype=torch.float16], args=(5), kwargs={}, broadcasts_input=False, name='')
2025-12-04T09:58:50.9459198Z 
2025-12-04T09:58:50.9459373Z To execute this test, run the following from the base repo dir:
2025-12-04T09:58:50.9459963Z     PYTORCH_OPINFO_SAMPLE_INPUT_INDEX=9 python test/inductor/test_torchinductor_opinfo.py TestInductorOpInfoCUDA.test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16
2025-12-04T09:58:50.9459970Z 
2025-12-04T09:58:50.9460173Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T09:58:50.9460798Z FAILED [3.3229s] inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16 - Exception: Tensor-likes are not close!
2025-12-04T09:58:50.9460802Z 
2025-12-04T09:58:50.9460893Z Mismatched elements: 1 / 96 (1.0%)
2025-12-04T09:58:50.9461150Z Greatest absolute difference: 3.814697265625e-05 at index (7, 0, 1) (up to 1e-05 allowed)
2025-12-04T09:58:50.9461406Z Greatest relative difference: 0.0026721954345703125 at index (7, 0, 1) (up to 0.001 allowed)
2025-12-04T09:58:50.9461411Z 
2025-12-04T09:58:50.9461510Z The failure occurred for item [0]
2025-12-04T09:58:50.9461514Z 
2025-12-04T09:58:50.9461974Z Caused by sample input at index 9: SampleInput(input=Tensor[size=(8, 4, 3), device="cuda:0", dtype=torch.float16], args=(5), kwargs={}, broadcasts_input=False, name='')
2025-12-04T09:58:50.9461981Z 
2025-12-04T09:58:50.9462149Z To execute this test, run the following from the base repo dir:
2025-12-04T09:58:50.9462747Z     PYTORCH_OPINFO_SAMPLE_INPUT_INDEX=9 python test/inductor/test_torchinductor_opinfo.py TestInductorOpInfoCUDA.test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16
2025-12-04T09:58:50.9462751Z 
2025-12-04T09:58:50.9462953Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T09:58:50.9463622Z FAILED [2.7640s] inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16 - Exception: Tensor-likes are not close!
2025-12-04T09:58:50.9463626Z 
2025-12-04T09:58:50.9463716Z Mismatched elements: 1 / 96 (1.0%)
2025-12-04T09:58:50.9463969Z Greatest absolute difference: 4.57763671875e-05 at index (0, 7, 0, 1) (up to 1e-05 allowed)
2025-12-04T09:58:50.9464279Z Greatest relative difference: 0.003200531005859375 at index (0, 7, 0, 1) (up to 0.001 allowed)
2025-12-04T09:58:50.9464283Z 
2025-12-04T09:58:50.9464374Z The failure occurred for item [0]
2025-12-04T09:58:50.9464378Z 
2025-12-04T09:58:50.9464852Z Caused by sample input at index 8: SampleInput(input=Tensor[size=(1, 8, 4, 3), device="cuda:0", dtype=torch.float16], args=(5), kwargs={}, broadcasts_input=False, name='')
2025-12-04T09:58:50.9464857Z 
2025-12-04T09:58:50.9465024Z To execute this test, run the following from the base repo dir:
2025-12-04T09:58:50.9465735Z     PYTORCH_OPINFO_SAMPLE_INPUT_INDEX=8 python test/inductor/test_torchinductor_opinfo.py TestInductorOpInfoCUDA.test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16
2025-12-04T09:58:50.9465740Z 
2025-12-04T09:58:50.9465944Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T09:58:50.9466557Z FAILED [2.7547s] inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16 - Exception: Tensor-likes are not close!
2025-12-04T09:58:50.9466565Z 
2025-12-04T09:58:50.9466661Z Mismatched elements: 1 / 96 (1.0%)
2025-12-04T09:58:50.9466919Z Greatest absolute difference: 3.814697265625e-05 at index (0, 7, 0, 1) (up to 1e-05 allowed)
2025-12-04T09:58:50.9467305Z Greatest relative difference: 0.0026721954345703125 at index (0, 7, 0, 1) (up to 0.001 allowed)
2025-12-04T09:58:50.9467310Z 
2025-12-04T09:58:50.9467403Z The failure occurred for item [0]
2025-12-04T09:58:50.9467407Z 
2025-12-04T09:58:50.9467873Z Caused by sample input at index 8: SampleInput(input=Tensor[size=(1, 8, 4, 3), device="cuda:0", dtype=torch.float16], args=(5), kwargs={}, broadcasts_input=False, name='')
2025-12-04T09:58:50.9467885Z 
2025-12-04T09:58:50.9468051Z To execute this test, run the following from the base repo dir:
2025-12-04T09:58:50.9468640Z     PYTORCH_OPINFO_SAMPLE_INPUT_INDEX=8 python test/inductor/test_torchinductor_opinfo.py TestInductorOpInfoCUDA.test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16
2025-12-04T09:58:50.9468646Z 
2025-12-04T09:58:50.9468855Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T09:58:50.9469475Z FAILED [3.0243s] inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16 - Exception: Tensor-likes are not close!
2025-12-04T09:58:50.9469479Z 
2025-12-04T09:58:50.9469576Z Mismatched elements: 1 / 96 (1.0%)
2025-12-04T09:58:50.9469823Z Greatest absolute difference: 3.814697265625e-05 at index (7, 0, 1) (up to 1e-05 allowed)
2025-12-04T09:58:50.9470077Z Greatest relative difference: 0.0026721954345703125 at index (7, 0, 1) (up to 0.001 allowed)
2025-12-04T09:58:50.9470081Z 
2025-12-04T09:58:50.9470176Z The failure occurred for item [0]
2025-12-04T09:58:50.9470180Z 
2025-12-04T09:58:50.9470638Z Caused by sample input at index 9: SampleInput(input=Tensor[size=(8, 4, 3), device="cuda:0", dtype=torch.float16], args=(5), kwargs={}, broadcasts_input=False, name='')
2025-12-04T09:58:50.9470647Z 
2025-12-04T09:58:50.9470820Z To execute this test, run the following from the base repo dir:
2025-12-04T09:58:50.9471412Z     PYTORCH_OPINFO_SAMPLE_INPUT_INDEX=9 python test/inductor/test_torchinductor_opinfo.py TestInductorOpInfoCUDA.test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16
2025-12-04T09:58:50.9471416Z 
2025-12-04T09:58:50.9471618Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T09:58:50.9472235Z FAILED [2.7810s] inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16 - Exception: Tensor-likes are not close!
2025-12-04T09:58:50.9472286Z 
2025-12-04T09:58:50.9472378Z Mismatched elements: 1 / 96 (1.0%)
2025-12-04T09:58:50.9472640Z Greatest absolute difference: 3.814697265625e-05 at index (0, 7, 0, 1) (up to 1e-05 allowed)
2025-12-04T09:58:50.9472903Z Greatest relative difference: 0.0026645660400390625 at index (0, 7, 0, 1) (up to 0.001 allowed)
2025-12-04T09:58:50.9472946Z 
2025-12-04T09:58:50.9473038Z The failure occurred for item [0]
2025-12-04T09:58:50.9473048Z 
2025-12-04T09:58:50.9473513Z Caused by sample input at index 8: SampleInput(input=Tensor[size=(1, 8, 4, 3), device="cuda:0", dtype=torch.float16], args=(5), kwargs={}, broadcasts_input=False, name='')
2025-12-04T09:58:50.9473518Z 
2025-12-04T09:58:50.9473682Z To execute this test, run the following from the base repo dir:
2025-12-04T09:58:50.9474278Z     PYTORCH_OPINFO_SAMPLE_INPUT_INDEX=8 python test/inductor/test_torchinductor_opinfo.py TestInductorOpInfoCUDA.test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16
2025-12-04T09:58:50.9474285Z 
2025-12-04T09:58:50.9474488Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T09:58:50.9475109Z FAILED [3.1238s] inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16 - Exception: Tensor-likes are not close!
2025-12-04T09:58:50.9475116Z 
2025-12-04T09:58:50.9475205Z Mismatched elements: 1 / 96 (1.0%)
2025-12-04T09:58:50.9475460Z Greatest absolute difference: 3.814697265625e-05 at index (0, 7, 0, 1) (up to 1e-05 allowed)
2025-12-04T09:58:50.9475814Z Greatest relative difference: 0.0026721954345703125 at index (0, 7, 0, 1) (up to 0.001 allowed)
2025-12-04T09:58:50.9475819Z 
2025-12-04T09:58:50.9475912Z The failure occurred for item [0]
2025-12-04T09:58:50.9475916Z 
2025-12-04T09:58:50.9476382Z Caused by sample input at index 8: SampleInput(input=Tensor[size=(1, 8, 4, 3), device="cuda:0", dtype=torch.float16], args=(5), kwargs={}, broadcasts_input=False, name='')
2025-12-04T09:58:50.9476389Z 
2025-12-04T09:58:50.9476558Z To execute this test, run the following from the base repo dir:
2025-12-04T09:58:50.9477145Z     PYTORCH_OPINFO_SAMPLE_INPUT_INDEX=8 python test/inductor/test_torchinductor_opinfo.py TestInductorOpInfoCUDA.test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16
2025-12-04T09:58:50.9477157Z 
2025-12-04T09:58:50.9477360Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T09:58:50.9477980Z FAILED [2.8867s] inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16 - Exception: Tensor-likes are not close!
2025-12-04T09:58:50.9477985Z 
2025-12-04T09:58:50.9478079Z Mismatched elements: 1 / 96 (1.0%)
2025-12-04T09:58:50.9478334Z Greatest absolute difference: 5.340576171875e-05 at index (0, 7, 0, 1) (up to 1e-05 allowed)
2025-12-04T09:58:50.9478597Z Greatest relative difference: 0.00373077392578125 at index (0, 7, 0, 1) (up to 0.001 allowed)
2025-12-04T09:58:50.9478602Z 
2025-12-04T09:58:50.9478692Z The failure occurred for item [0]
2025-12-04T09:58:50.9478696Z 
2025-12-04T09:58:50.9479155Z Caused by sample input at index 8: SampleInput(input=Tensor[size=(1, 8, 4, 3), device="cuda:0", dtype=torch.float16], args=(5), kwargs={}, broadcasts_input=False, name='')
2025-12-04T09:58:50.9479162Z 
2025-12-04T09:58:50.9479335Z To execute this test, run the following from the base repo dir:
2025-12-04T09:58:50.9479928Z     PYTORCH_OPINFO_SAMPLE_INPUT_INDEX=8 python test/inductor/test_torchinductor_opinfo.py TestInductorOpInfoCUDA.test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16
2025-12-04T09:58:50.9479932Z 
2025-12-04T09:58:50.9480141Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T09:58:50.9480753Z FAILED [2.7676s] inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16 - Exception: Tensor-likes are not close!
2025-12-04T09:58:50.9480810Z 
2025-12-04T09:58:50.9480907Z Mismatched elements: 1 / 96 (1.0%)
2025-12-04T09:58:50.9481164Z Greatest absolute difference: 3.814697265625e-05 at index (0, 7, 0, 1) (up to 1e-05 allowed)
2025-12-04T09:58:50.9481429Z Greatest relative difference: 0.0026721954345703125 at index (0, 7, 0, 1) (up to 0.001 allowed)
2025-12-04T09:58:50.9481473Z 
2025-12-04T09:58:50.9481572Z The failure occurred for item [0]
2025-12-04T09:58:50.9481577Z 
2025-12-04T09:58:50.9482039Z Caused by sample input at index 8: SampleInput(input=Tensor[size=(1, 8, 4, 3), device="cuda:0", dtype=torch.float16], args=(5), kwargs={}, broadcasts_input=False, name='')
2025-12-04T09:58:50.9482047Z 
2025-12-04T09:58:50.9482219Z To execute this test, run the following from the base repo dir:
2025-12-04T09:58:50.9482806Z     PYTORCH_OPINFO_SAMPLE_INPUT_INDEX=8 python test/inductor/test_torchinductor_opinfo.py TestInductorOpInfoCUDA.test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16
2025-12-04T09:58:50.9482814Z 
2025-12-04T09:58:50.9483020Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T09:58:50.9483637Z FAILED [2.7667s] inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16 - Exception: Tensor-likes are not close!
2025-12-04T09:58:50.9483641Z 
2025-12-04T09:58:50.9483733Z Mismatched elements: 1 / 96 (1.0%)
2025-12-04T09:58:50.9483995Z Greatest absolute difference: 3.814697265625e-05 at index (0, 7, 0, 1) (up to 1e-05 allowed)
2025-12-04T09:58:50.9484258Z Greatest relative difference: 0.0026645660400390625 at index (0, 7, 0, 1) (up to 0.001 allowed)
2025-12-04T09:58:50.9484344Z 
2025-12-04T09:58:50.9484437Z The failure occurred for item [0]
2025-12-04T09:58:50.9484441Z 
2025-12-04T09:58:50.9484909Z Caused by sample input at index 8: SampleInput(input=Tensor[size=(1, 8, 4, 3), device="cuda:0", dtype=torch.float16], args=(5), kwargs={}, broadcasts_input=False, name='')
2025-12-04T09:58:50.9484916Z 
2025-12-04T09:58:50.9485083Z To execute this test, run the following from the base repo dir:
2025-12-04T09:58:50.9485680Z     PYTORCH_OPINFO_SAMPLE_INPUT_INDEX=8 python test/inductor/test_torchinductor_opinfo.py TestInductorOpInfoCUDA.test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16
2025-12-04T09:58:50.9485684Z 
2025-12-04T09:58:50.9485888Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T09:58:50.9486509Z FAILED [3.1563s] inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16 - Exception: Tensor-likes are not close!
2025-12-04T09:58:50.9486517Z 
2025-12-04T09:58:50.9486607Z Mismatched elements: 1 / 96 (1.0%)
2025-12-04T09:58:50.9486863Z Greatest absolute difference: 3.814697265625e-05 at index (0, 7, 0, 1) (up to 1e-05 allowed)
2025-12-04T09:58:50.9487135Z Greatest relative difference: 0.0026721954345703125 at index (0, 7, 0, 1) (up to 0.001 allowed)
2025-12-04T09:58:50.9487141Z 
2025-12-04T09:58:50.9487230Z The failure occurred for item [0]
2025-12-04T09:58:50.9487234Z 
2025-12-04T09:58:50.9487701Z Caused by sample input at index 8: SampleInput(input=Tensor[size=(1, 8, 4, 3), device="cuda:0", dtype=torch.float16], args=(5), kwargs={}, broadcasts_input=False, name='')
2025-12-04T09:58:50.9487705Z 
2025-12-04T09:58:50.9487871Z To execute this test, run the following from the base repo dir:
2025-12-04T09:58:50.9488463Z     PYTORCH_OPINFO_SAMPLE_INPUT_INDEX=8 python test/inductor/test_torchinductor_opinfo.py TestInductorOpInfoCUDA.test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16
2025-12-04T09:58:50.9488473Z 
2025-12-04T09:58:50.9488682Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T09:58:50.9489294Z FAILED [2.8862s] inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16 - Exception: Tensor-likes are not close!
2025-12-04T09:58:50.9489346Z 
2025-12-04T09:58:50.9489453Z Mismatched elements: 1 / 96 (1.0%)
2025-12-04T09:58:50.9496311Z Greatest absolute difference: 5.340576171875e-05 at index (0, 7, 0, 1) (up to 1e-05 allowed)
2025-12-04T09:58:50.9496605Z Greatest relative difference: 0.00373077392578125 at index (0, 7, 0, 1) (up to 0.001 allowed)
2025-12-04T09:58:50.9496611Z 
2025-12-04T09:58:50.9496709Z The failure occurred for item [0]
2025-12-04T09:58:50.9496787Z 
2025-12-04T09:58:50.9497269Z Caused by sample input at index 8: SampleInput(input=Tensor[size=(1, 8, 4, 3), device="cuda:0", dtype=torch.float16], args=(5), kwargs={}, broadcasts_input=False, name='')
2025-12-04T09:58:50.9497274Z 
2025-12-04T09:58:50.9497457Z To execute this test, run the following from the base repo dir:
2025-12-04T09:58:50.9498063Z     PYTORCH_OPINFO_SAMPLE_INPUT_INDEX=8 python test/inductor/test_torchinductor_opinfo.py TestInductorOpInfoCUDA.test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16
2025-12-04T09:58:50.9498070Z 
2025-12-04T09:58:50.9498277Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T09:58:50.9498906Z FAILED [3.0183s] inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16 - Exception: Tensor-likes are not close!
2025-12-04T09:58:50.9498918Z 
2025-12-04T09:58:50.9499012Z Mismatched elements: 1 / 96 (1.0%)
2025-12-04T09:58:50.9499266Z Greatest absolute difference: 5.340576171875e-05 at index (7, 0, 1) (up to 1e-05 allowed)
2025-12-04T09:58:50.9499523Z Greatest relative difference: 0.00373077392578125 at index (7, 0, 1) (up to 0.001 allowed)
2025-12-04T09:58:50.9499527Z 
2025-12-04T09:58:50.9499703Z The failure occurred for item [0]
2025-12-04T09:58:50.9499708Z 
2025-12-04T09:58:50.9500179Z Caused by sample input at index 9: SampleInput(input=Tensor[size=(8, 4, 3), device="cuda:0", dtype=torch.float16], args=(5), kwargs={}, broadcasts_input=False, name='')
2025-12-04T09:58:50.9500186Z 
2025-12-04T09:58:50.9500356Z To execute this test, run the following from the base repo dir:
2025-12-04T09:58:50.9500950Z     PYTORCH_OPINFO_SAMPLE_INPUT_INDEX=9 python test/inductor/test_torchinductor_opinfo.py TestInductorOpInfoCUDA.test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16
2025-12-04T09:58:50.9500954Z 
2025-12-04T09:58:50.9501168Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T09:58:50.9501786Z FAILED [3.1623s] inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16 - Exception: Tensor-likes are not close!
2025-12-04T09:58:50.9501791Z 
2025-12-04T09:58:50.9501890Z Mismatched elements: 2 / 96 (2.1%)
2025-12-04T09:58:50.9502152Z Greatest absolute difference: 3.814697265625e-05 at index (0, 7, 0, 1) (up to 1e-05 allowed)
2025-12-04T09:58:50.9502772Z Greatest relative difference: 0.0026721954345703125 at index (0, 7, 0, 1) (up to 0.001 allowed)
2025-12-04T09:58:50.9502785Z 
2025-12-04T09:58:50.9502933Z The failure occurred for item [0]
2025-12-04T09:58:50.9502940Z 
2025-12-04T09:58:50.9503423Z Caused by sample input at index 8: SampleInput(input=Tensor[size=(1, 8, 4, 3), device="cuda:0", dtype=torch.float16], args=(5), kwargs={}, broadcasts_input=False, name='')
2025-12-04T09:58:50.9503428Z 
2025-12-04T09:58:50.9503605Z To execute this test, run the following from the base repo dir:
2025-12-04T09:58:50.9504198Z     PYTORCH_OPINFO_SAMPLE_INPUT_INDEX=8 python test/inductor/test_torchinductor_opinfo.py TestInductorOpInfoCUDA.test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16
2025-12-04T09:58:50.9504203Z 
2025-12-04T09:58:50.9504421Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T09:58:50.9505110Z FAILED [3.0286s] inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16 - Exception: Tensor-likes are not close!
2025-12-04T09:58:50.9505232Z 
2025-12-04T09:58:50.9505331Z Mismatched elements: 1 / 96 (1.0%)
2025-12-04T09:58:50.9505590Z Greatest absolute difference: 3.814697265625e-05 at index (7, 0, 1) (up to 1e-05 allowed)
2025-12-04T09:58:50.9505845Z Greatest relative difference: 0.0026721954345703125 at index (7, 0, 1) (up to 0.001 allowed)
2025-12-04T09:58:50.9505849Z 
2025-12-04T09:58:50.9505951Z The failure occurred for item [0]
2025-12-04T09:58:50.9505955Z 
2025-12-04T09:58:50.9506483Z Caused by sample input at index 9: SampleInput(input=Tensor[size=(8, 4, 3), device="cuda:0", dtype=torch.float16], args=(5), kwargs={}, broadcasts_input=False, name='')
2025-12-04T09:58:50.9506488Z 
2025-12-04T09:58:50.9506657Z To execute this test, run the following from the base repo dir:
2025-12-04T09:58:50.9507258Z     PYTORCH_OPINFO_SAMPLE_INPUT_INDEX=9 python test/inductor/test_torchinductor_opinfo.py TestInductorOpInfoCUDA.test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16
2025-12-04T09:58:50.9507263Z 
2025-12-04T09:58:50.9507467Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T09:58:50.9508091Z FAILED [3.4307s] inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16 - Exception: Tensor-likes are not close!
2025-12-04T09:58:50.9508096Z 
2025-12-04T09:58:50.9508189Z Mismatched elements: 1 / 96 (1.0%)
2025-12-04T09:58:50.9508448Z Greatest absolute difference: 3.814697265625e-05 at index (7, 0, 1) (up to 1e-05 allowed)
2025-12-04T09:58:50.9508705Z Greatest relative difference: 0.0026721954345703125 at index (7, 0, 1) (up to 0.001 allowed)
2025-12-04T09:58:50.9508710Z 
2025-12-04T09:58:50.9508801Z The failure occurred for item [0]
2025-12-04T09:58:50.9508805Z 
2025-12-04T09:58:50.9509433Z Caused by sample input at index 9: SampleInput(input=Tensor[size=(8, 4, 3), device="cuda:0", dtype=torch.float16], args=(5), kwargs={}, broadcasts_input=False, name='')
2025-12-04T09:58:50.9509439Z 
2025-12-04T09:58:50.9509610Z To execute this test, run the following from the base repo dir:
2025-12-04T09:58:50.9510207Z     PYTORCH_OPINFO_SAMPLE_INPUT_INDEX=9 python test/inductor/test_torchinductor_opinfo.py TestInductorOpInfoCUDA.test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16
2025-12-04T09:58:50.9510211Z 
2025-12-04T09:58:50.9510415Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T09:58:50.9511028Z FAILED [3.1337s] inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16 - Exception: Tensor-likes are not close!
2025-12-04T09:58:50.9511046Z 
2025-12-04T09:58:50.9511140Z Mismatched elements: 1 / 96 (1.0%)
2025-12-04T09:58:50.9511393Z Greatest absolute difference: 3.814697265625e-05 at index (7, 0, 1) (up to 1e-05 allowed)
2025-12-04T09:58:50.9511654Z Greatest relative difference: 0.0026721954345703125 at index (7, 0, 1) (up to 0.001 allowed)
2025-12-04T09:58:50.9511658Z 
2025-12-04T09:58:50.9511751Z The failure occurred for item [0]
2025-12-04T09:58:50.9511757Z 
2025-12-04T09:58:50.9512217Z Caused by sample input at index 9: SampleInput(input=Tensor[size=(8, 4, 3), device="cuda:0", dtype=torch.float16], args=(5), kwargs={}, broadcasts_input=False, name='')
2025-12-04T09:58:50.9512229Z 
2025-12-04T09:58:50.9512397Z To execute this test, run the following from the base repo dir:
2025-12-04T09:58:50.9512990Z     PYTORCH_OPINFO_SAMPLE_INPUT_INDEX=9 python test/inductor/test_torchinductor_opinfo.py TestInductorOpInfoCUDA.test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16
2025-12-04T09:58:50.9512996Z 
2025-12-04T09:58:50.9513207Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T09:58:50.9513823Z FAILED [2.7497s] inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16 - Exception: Tensor-likes are not close!
2025-12-04T09:58:50.9513827Z 
2025-12-04T09:58:50.9513928Z Mismatched elements: 1 / 96 (1.0%)
2025-12-04T09:58:50.9514237Z Greatest absolute difference: 2.288818359375e-05 at index (0, 2, 0, 1) (up to 1e-05 allowed)
2025-12-04T09:58:50.9514503Z Greatest relative difference: 0.0022182464599609375 at index (0, 2, 0, 1) (up to 0.001 allowed)
2025-12-04T09:58:50.9514507Z 
2025-12-04T09:58:50.9514606Z The failure occurred for item [0]
2025-12-04T09:58:50.9514610Z 
2025-12-04T09:58:50.9515076Z Caused by sample input at index 8: SampleInput(input=Tensor[size=(1, 8, 4, 3), device="cuda:0", dtype=torch.float16], args=(5), kwargs={}, broadcasts_input=False, name='')
2025-12-04T09:58:50.9515147Z 
2025-12-04T09:58:50.9515325Z To execute this test, run the following from the base repo dir:
2025-12-04T09:58:50.9515917Z     PYTORCH_OPINFO_SAMPLE_INPUT_INDEX=8 python test/inductor/test_torchinductor_opinfo.py TestInductorOpInfoCUDA.test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16
2025-12-04T09:58:50.9515922Z 
2025-12-04T09:58:50.9516136Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T09:58:50.9516748Z FAILED [2.7622s] inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16 - Exception: Tensor-likes are not close!
2025-12-04T09:58:50.9516753Z 
2025-12-04T09:58:50.9516843Z Mismatched elements: 1 / 96 (1.0%)
2025-12-04T09:58:50.9517106Z Greatest absolute difference: 3.814697265625e-05 at index (0, 7, 0, 1) (up to 1e-05 allowed)
2025-12-04T09:58:50.9517369Z Greatest relative difference: 0.0026721954345703125 at index (0, 7, 0, 1) (up to 0.001 allowed)
2025-12-04T09:58:50.9517376Z 
2025-12-04T09:58:50.9517474Z The failure occurred for item [0]
2025-12-04T09:58:50.9517478Z 
2025-12-04T09:58:50.9518022Z Caused by sample input at index 8: SampleInput(input=Tensor[size=(1, 8, 4, 3), device="cuda:0", dtype=torch.float16], args=(5), kwargs={}, broadcasts_input=False, name='')
2025-12-04T09:58:50.9518027Z 
2025-12-04T09:58:50.9518196Z To execute this test, run the following from the base repo dir:
2025-12-04T09:58:50.9518794Z     PYTORCH_OPINFO_SAMPLE_INPUT_INDEX=8 python test/inductor/test_torchinductor_opinfo.py TestInductorOpInfoCUDA.test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16
2025-12-04T09:58:50.9518798Z 
2025-12-04T09:58:50.9519003Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T09:58:50.9519620Z FAILED [3.0174s] inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16 - Exception: Tensor-likes are not close!
2025-12-04T09:58:50.9519627Z 
2025-12-04T09:58:50.9519718Z Mismatched elements: 1 / 96 (1.0%)
2025-12-04T09:58:50.9519966Z Greatest absolute difference: 3.814697265625e-05 at index (7, 0, 1) (up to 1e-05 allowed)
2025-12-04T09:58:50.9520232Z Greatest relative difference: 0.0026721954345703125 at index (7, 0, 1) (up to 0.001 allowed)
2025-12-04T09:58:50.9520236Z 
2025-12-04T09:58:50.9520327Z The failure occurred for item [0]
2025-12-04T09:58:50.9520331Z 
2025-12-04T09:58:50.9520801Z Caused by sample input at index 9: SampleInput(input=Tensor[size=(8, 4, 3), device="cuda:0", dtype=torch.float16], args=(5), kwargs={}, broadcasts_input=False, name='')
2025-12-04T09:58:50.9520808Z 
2025-12-04T09:58:50.9520975Z To execute this test, run the following from the base repo dir:
2025-12-04T09:58:50.9521579Z     PYTORCH_OPINFO_SAMPLE_INPUT_INDEX=9 python test/inductor/test_torchinductor_opinfo.py TestInductorOpInfoCUDA.test_comprehensive_nn_functional_adaptive_avg_pool2d_cuda_float16
2025-12-04T09:58:50.9521585Z 
2025-12-04T09:58:50.9521791Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T09:58:50.9521959Z ============ 27 failed, 23 passed, 50 skipped in 163.28s (0:02:43) =============
2025-12-04T09:58:50.9521963Z 
2025-12-04T09:58:50.9522463Z FINISHED PRINTING LOG FILE of inductor/test_torchinductor_opinfo 9/12 (test/test-reports/inductor.test_torchinductor_opinfo_9.12_6bac42cd6fe2ef7e_.log)
2025-12-04T09:58:50.9522468Z 
2025-12-04T09:58:50.9522774Z Finished inductor/test_torchinductor_opinfo 9/12 ... [2025-12-04 09:58:50.847037][2662.826809094], took 2.94min
2025-12-04T09:58:50.9523494Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-ce064b265c066eff.xml
2025-12-04T09:58:51.6090331Z Uploading logs for 57118472355 to S3
2025-12-04T09:58:51.6470801Z Uploading artifacts took 0.70 seconds
2025-12-04T09:58:51.6471568Z inductor/test_torchinductor_opinfo 9/12 failed!
2025-12-04T09:58:52.2507086Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-12-04T09:58:52.2509085Z   import pynvml  # type: ignore[import]
2025-12-04T09:58:55.5693250Z Running test batch 'tests to run' cost 367.78 seconds
2025-12-04T09:58:55.5693772Z Emitting td_test_failure_stats_v2
2025-12-04T09:58:55.5695148Z Writing 1 documents to S3 ossci-raw-job-status/ossci_uploaded_metrics/td_test_failure_stats_v2_1764842335_d8777412d0f711f0bc0e0242ac110002
2025-12-04T09:58:55.6755750Z Done! Finish writing document to S3 ossci-raw-job-status/ossci_uploaded_metrics/td_test_failure_stats_v2_1764842335_d8777412d0f711f0bc0e0242ac110002 
2025-12-04T09:58:55.6757240Z inductor/test_torchinductor_opinfo 9/12 failed!
2025-12-04T09:58:56.4454652Z + sccache_epilogue
2025-12-04T09:58:56.4454930Z + echo '::group::Sccache Compilation Log'
2025-12-04T09:58:56.4455482Z ##[group]Sccache Compilation Log
2025-12-04T09:58:56.4455815Z + echo '=================== sccache compilation log ==================='
2025-12-04T09:58:56.4456435Z =================== sccache compilation log ===================
2025-12-04T09:58:56.4456995Z + python /var/lib/jenkins/workspace/.ci/pytorch/print_sccache_log.py /var/lib/jenkins/sccache_error.log
2025-12-04T09:58:56.4750136Z + echo '=========== If your build fails, please take a look at the log above for possible reasons ==========='
2025-12-04T09:58:56.4750856Z =========== If your build fails, please take a look at the log above for possible reasons ===========
2025-12-04T09:58:56.4751296Z + sccache --show-stats
2025-12-04T09:58:56.4781289Z Compile requests                     294
2025-12-04T09:58:56.4781661Z Compile requests executed             49
2025-12-04T09:58:56.4781953Z Cache hits                             6
2025-12-04T09:58:56.4782236Z Cache hits (C/C++)                     6
2025-12-04T09:58:56.4782506Z Cache misses                          43
2025-12-04T09:58:56.4782781Z Cache misses (C/C++)                  43
2025-12-04T09:58:56.4783062Z Cache hits rate                    12.24 %
2025-12-04T09:58:56.4783361Z Cache hits rate (C/C++)            12.24 %
2025-12-04T09:58:56.4783649Z Cache timeouts                         0
2025-12-04T09:58:56.4783937Z Cache read errors                      0
2025-12-04T09:58:56.4784218Z Forced recaches                        0
2025-12-04T09:58:56.4784497Z Cache write errors                     0
2025-12-04T09:58:56.4784776Z Cache errors                           0
2025-12-04T09:58:56.4785183Z Compilations                          43
2025-12-04T09:58:56.4785556Z Compilation failures                   0
2025-12-04T09:58:56.4785927Z Non-cacheable compilations             0
2025-12-04T09:58:56.4786354Z Non-cacheable calls                    2
2025-12-04T09:58:56.4786710Z Non-compilation calls                243
2025-12-04T09:58:56.4787006Z Unsupported compiler calls             0
2025-12-04T09:58:56.4787296Z Average cache write                0.042 s
2025-12-04T09:58:56.4787628Z Average compiler                  12.197 s
2025-12-04T09:58:56.4787999Z Average cache read hit             0.040 s
2025-12-04T09:58:56.4788297Z Failed distributed compilations        0
2025-12-04T09:58:56.4788497Z 
2025-12-04T09:58:56.4788583Z Non-cacheable reasons:
2025-12-04T09:58:56.4788816Z -E                                     2
2025-12-04T09:58:56.4789155Z 
2025-12-04T09:58:56.4789382Z Cache location                  s3, name: ossci-compiler-cache-circleci-v2, prefix: /
2025-12-04T09:58:56.4789789Z Version (client)                0.10.0
2025-12-04T09:58:56.4790085Z + sccache --stop-server
2025-12-04T09:58:56.4810916Z Stopping sccache server...
2025-12-04T09:58:56.4814130Z Compile requests                     294
2025-12-04T09:58:56.4814590Z Compile requests executed             49
2025-12-04T09:58:56.4815179Z Cache hits                             6
2025-12-04T09:58:56.4815570Z Cache hits (C/C++)                     6
2025-12-04T09:58:56.4815956Z Cache misses                          43
2025-12-04T09:58:56.4816339Z Cache misses (C/C++)                  43
2025-12-04T09:58:56.4816756Z Cache hits rate                    12.24 %
2025-12-04T09:58:56.4817205Z Cache hits rate (C/C++)            12.24 %
2025-12-04T09:58:56.4817604Z Cache timeouts                         0
2025-12-04T09:58:56.4818027Z Cache read errors                      0
2025-12-04T09:58:56.4818455Z Forced recaches                        0
2025-12-04T09:58:56.4818840Z Cache write errors                     0
2025-12-04T09:58:56.4819223Z Cache errors                           0
2025-12-04T09:58:56.4819629Z Compilations                          43
2025-12-04T09:58:56.4820031Z Compilation failures                   0
2025-12-04T09:58:56.4820453Z Non-cacheable compilations             0
2025-12-04T09:58:56.4820880Z Non-cacheable calls                    2
2025-12-04T09:58:56.4821259Z Non-compilation calls                243
2025-12-04T09:58:56.4821551Z Unsupported compiler calls             0
2025-12-04T09:58:56.4821846Z Average cache write                0.042 s
2025-12-04T09:58:56.4822139Z Average compiler                  12.197 s
2025-12-04T09:58:56.4822622Z Average cache read hit             0.040 s
2025-12-04T09:58:56.4822934Z Failed distributed compilations        0
2025-12-04T09:58:56.4823135Z 
2025-12-04T09:58:56.4823229Z Non-cacheable reasons:
2025-12-04T09:58:56.4823474Z -E                                     2
2025-12-04T09:58:56.4823736Z 
2025-12-04T09:58:56.4823993Z Cache location                  s3, name: ossci-compiler-cache-circleci-v2, prefix: /
2025-12-04T09:58:56.4824476Z Version (client)                0.10.0
2025-12-04T09:58:56.4824792Z + echo ::endgroup::
2025-12-04T09:58:56.4825311Z ##[endgroup]
2025-12-04T09:58:56.4825505Z + cleanup_workspace
2025-12-04T09:58:56.4825954Z + echo 'sudo may print the following warning message that can be ignored. The chown command will still run.'
2025-12-04T09:58:56.4826853Z sudo may print the following warning message that can be ignored. The chown command will still run.
2025-12-04T09:58:56.4827610Z + echo '    sudo: setrlimit(RLIMIT_STACK): Operation not permitted'
2025-12-04T09:58:56.4828180Z     sudo: setrlimit(RLIMIT_STACK): Operation not permitted
2025-12-04T09:58:56.4828820Z + echo 'For more details refer to https://github.com/sudo-project/sudo/issues/42'
2025-12-04T09:58:56.4829531Z For more details refer to https://github.com/sudo-project/sudo/issues/42
2025-12-04T09:58:56.4829970Z + sudo chown -R 1000 /var/lib/jenkins/workspace
2025-12-04T09:58:57.5568183Z ##[group]Run pytorch/test-infra/.github/actions/upload-benchmark-results@main
2025-12-04T09:58:57.5568613Z with:
2025-12-04T09:58:57.5568865Z   benchmark-results-dir: test/test-reports
2025-12-04T09:58:57.5569207Z   dry-run: false
2025-12-04T09:58:57.5569435Z   schema-version: v3
2025-12-04T09:58:57.5569875Z   github-token: ***
2025-12-04T09:58:57.5570099Z env:
2025-12-04T09:58:57.5570282Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:58:57.5570528Z   HAS_NVIDIA_GPU: true
2025-12-04T09:58:57.5570815Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-12-04T09:58:57.5571318Z   DOCKER_CONTAINER_ID: 41acfaf588920518f3cf2357a25538f09c929edfbb46691277c336603808fef6
2025-12-04T09:58:57.5571760Z ##[endgroup]
2025-12-04T09:58:57.5605489Z ##[group]Run set -eux
2025-12-04T09:58:57.5605734Z set -eux
2025-12-04T09:58:57.5605935Z 
2025-12-04T09:58:57.5606126Z if [[ -n "" ]]; then
2025-12-04T09:58:57.5606477Z   source ""
2025-12-04T09:58:57.5606722Z fi
2025-12-04T09:58:57.5607035Z python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0
2025-12-04T09:58:57.5607410Z 
2025-12-04T09:58:57.5607602Z DEVICE_NAME=""
2025-12-04T09:58:57.5607840Z DEVICE_TYPE=""
2025-12-04T09:58:57.5608056Z 
2025-12-04T09:58:57.5608266Z if command -v nvidia-smi; then
2025-12-04T09:58:57.5608766Z   # NB: I'm using PyTorch here to get the device name, however, it needs to
2025-12-04T09:58:57.5609277Z   # install the correct version of PyTorch manually for now. Any PyTorch
2025-12-04T09:58:57.5609760Z   # version is fine, I just use 2.7.1 to satify PYPIDEP linter
2025-12-04T09:58:57.5610147Z   python3 -mpip install torch==2.7.1
2025-12-04T09:58:57.5610465Z elif command -v rocminfo; then
2025-12-04T09:58:57.5610861Z   # NB: Installing torch on ROCm runner with pip here causes CI to fail
2025-12-04T09:58:57.5611372Z   # with a memoryview is too large error only on MI300 runners. Is pip
2025-12-04T09:58:57.5611871Z   # version on ROCm runner there too old? As a workaround, let's use the
2025-12-04T09:58:57.5612303Z   # GPU device name coming from rocminfo instead
2025-12-04T09:58:57.5612633Z   DEVICE_NAME=rocm
2025-12-04T09:58:57.5613069Z   DEVICE_TYPE=$(rocminfo | grep "Marketing Name" | tail -n1 | awk -F':' '{print $2}' | xargs)
2025-12-04T09:58:57.5613518Z fi
2025-12-04T09:58:57.5613704Z 
2025-12-04T09:58:57.5613952Z echo "DEVICE_NAME=$DEVICE_NAME" >> $GITHUB_ENV
2025-12-04T09:58:57.5614329Z echo "DEVICE_TYPE=$DEVICE_TYPE" >> $GITHUB_ENV
2025-12-04T09:58:57.5628911Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:58:57.5629251Z env:
2025-12-04T09:58:57.5629441Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:58:57.5629687Z   HAS_NVIDIA_GPU: true
2025-12-04T09:58:57.5629978Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-12-04T09:58:57.5630473Z   DOCKER_CONTAINER_ID: 41acfaf588920518f3cf2357a25538f09c929edfbb46691277c336603808fef6
2025-12-04T09:58:57.5630912Z ##[endgroup]
2025-12-04T09:58:57.5669497Z + [[ -n '' ]]
2025-12-04T09:58:57.5669910Z + python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0
2025-12-04T09:58:57.8234819Z Defaulting to user installation because normal site-packages is not writeable
2025-12-04T09:58:59.0834281Z Collecting boto3==1.35.33
2025-12-04T09:58:59.0993360Z   Downloading boto3-1.35.33-py3-none-any.whl (139 kB)
2025-12-04T09:58:59.4694732Z Collecting psutil==7.0.0
2025-12-04T09:58:59.4729026Z   Downloading psutil-7.0.0-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (277 kB)
2025-12-04T09:58:59.5038632Z Collecting pynvml==12.0.0
2025-12-04T09:58:59.5069961Z   Downloading pynvml-12.0.0-py3-none-any.whl (26 kB)
2025-12-04T09:58:59.5147842Z Requirement already satisfied: jmespath<2.0.0,>=0.7.1 in /usr/lib/python3.9/site-packages (from boto3==1.35.33) (0.10.0)
2025-12-04T09:59:00.8921140Z Collecting botocore<1.36.0,>=1.35.33
2025-12-04T09:59:00.8959080Z   Downloading botocore-1.35.99-py3-none-any.whl (13.3 MB)
2025-12-04T09:59:01.0832443Z Collecting s3transfer<0.11.0,>=0.10.0
2025-12-04T09:59:01.0864516Z   Downloading s3transfer-0.10.4-py3-none-any.whl (83 kB)
2025-12-04T09:59:01.1373373Z Collecting nvidia-ml-py<13.0.0a0,>=12.0.0
2025-12-04T09:59:01.1403180Z   Downloading nvidia_ml_py-12.575.51-py3-none-any.whl (47 kB)
2025-12-04T09:59:01.1493171Z Requirement already satisfied: python-dateutil<3.0.0,>=2.1 in /usr/lib/python3.9/site-packages (from botocore<1.36.0,>=1.35.33->boto3==1.35.33) (2.8.1)
2025-12-04T09:59:01.1504074Z Requirement already satisfied: urllib3<1.27,>=1.25.4 in /usr/lib/python3.9/site-packages (from botocore<1.36.0,>=1.35.33->boto3==1.35.33) (1.25.10)
2025-12-04T09:59:01.4221210Z Requirement already satisfied: six>=1.5 in /usr/lib/python3.9/site-packages (from python-dateutil<3.0.0,>=2.1->botocore<1.36.0,>=1.35.33->boto3==1.35.33) (1.15.0)
2025-12-04T09:59:01.5612611Z Installing collected packages: botocore, s3transfer, nvidia-ml-py, pynvml, psutil, boto3
2025-12-04T09:59:02.1450295Z   Attempting uninstall: nvidia-ml-py
2025-12-04T09:59:02.1451127Z     Found existing installation: nvidia-ml-py 11.525.84
2025-12-04T09:59:02.1466359Z     Uninstalling nvidia-ml-py-11.525.84:
2025-12-04T09:59:02.1723475Z       Successfully uninstalled nvidia-ml-py-11.525.84
2025-12-04T09:59:02.2360893Z   Attempting uninstall: psutil
2025-12-04T09:59:02.2361299Z     Found existing installation: psutil 5.9.8
2025-12-04T09:59:02.2454159Z     Uninstalling psutil-5.9.8:
2025-12-04T09:59:02.2461448Z       Successfully uninstalled psutil-5.9.8
2025-12-04T09:59:02.4201594Z Successfully installed boto3-1.35.33 botocore-1.35.99 nvidia-ml-py-12.575.51 psutil-7.0.0 pynvml-12.0.0 s3transfer-0.10.4
2025-12-04T09:59:02.5559824Z + DEVICE_NAME=
2025-12-04T09:59:02.5560178Z + DEVICE_TYPE=
2025-12-04T09:59:02.5560467Z + command -v nvidia-smi
2025-12-04T09:59:02.5560748Z + python3 -mpip install torch==2.7.1
2025-12-04T09:59:02.5561016Z /usr/bin/nvidia-smi
2025-12-04T09:59:02.7922169Z Defaulting to user installation because normal site-packages is not writeable
2025-12-04T09:59:03.0948592Z Collecting torch==2.7.1
2025-12-04T09:59:03.1171303Z   Downloading torch-2.7.1-cp39-cp39-manylinux_2_28_x86_64.whl (821.1 MB)
2025-12-04T09:59:15.1099454Z Requirement already satisfied: typing-extensions>=4.10.0 in /home/ec2-user/.local/lib/python3.9/site-packages (from torch==2.7.1) (4.15.0)
2025-12-04T09:59:15.1384985Z Collecting nvidia-nccl-cu12==2.26.2
2025-12-04T09:59:15.1431810Z   Downloading nvidia_nccl_cu12-2.26.2-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (201.3 MB)
2025-12-04T09:59:17.3545808Z Collecting nvidia-cusparse-cu12==12.5.4.2
2025-12-04T09:59:17.3588358Z   Downloading nvidia_cusparse_cu12-12.5.4.2-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (216.6 MB)
2025-12-04T09:59:20.2414419Z Collecting nvidia-cusparselt-cu12==0.6.3
2025-12-04T09:59:20.2457527Z   Downloading nvidia_cusparselt_cu12-0.6.3-py3-none-manylinux2014_x86_64.whl (156.8 MB)
2025-12-04T09:59:21.8240029Z Collecting filelock
2025-12-04T09:59:21.8277090Z   Downloading filelock-3.19.1-py3-none-any.whl (15 kB)
2025-12-04T09:59:21.8755347Z Collecting sympy>=1.13.3
2025-12-04T09:59:21.8791586Z   Downloading sympy-1.14.0-py3-none-any.whl (6.3 MB)
2025-12-04T09:59:21.9821676Z Collecting nvidia-cuda-cupti-cu12==12.6.80
2025-12-04T09:59:21.9885264Z   Downloading nvidia_cuda_cupti_cu12-12.6.80-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (8.9 MB)
2025-12-04T09:59:22.0758683Z Requirement already satisfied: jinja2 in /usr/lib/python3.9/site-packages (from torch==2.7.1) (2.11.3)
2025-12-04T09:59:22.1066857Z Collecting nvidia-cusolver-cu12==11.7.1.2
2025-12-04T09:59:22.1105015Z   Downloading nvidia_cusolver_cu12-11.7.1.2-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (158.2 MB)
2025-12-04T09:59:23.7082155Z Collecting nvidia-cuda-runtime-cu12==12.6.77
2025-12-04T09:59:23.7142274Z   Downloading nvidia_cuda_runtime_cu12-12.6.77-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (897 kB)
2025-12-04T09:59:23.7667702Z Collecting nvidia-cudnn-cu12==9.5.1.17
2025-12-04T09:59:23.7736505Z   Downloading nvidia_cudnn_cu12-9.5.1.17-py3-none-manylinux_2_28_x86_64.whl (571.0 MB)
2025-12-04T09:59:31.6675631Z Collecting nvidia-cuda-nvrtc-cu12==12.6.77
2025-12-04T09:59:31.6739610Z   Downloading nvidia_cuda_nvrtc_cu12-12.6.77-py3-none-manylinux2014_x86_64.whl (23.7 MB)
2025-12-04T09:59:31.9185947Z Collecting nvidia-cufile-cu12==1.11.1.6
2025-12-04T09:59:31.9223887Z   Downloading nvidia_cufile_cu12-1.11.1.6-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (1.1 MB)
2025-12-04T09:59:32.0032342Z Collecting networkx
2025-12-04T09:59:32.0070789Z   Downloading networkx-3.2.1-py3-none-any.whl (1.6 MB)
2025-12-04T09:59:32.0623817Z Collecting nvidia-curand-cu12==10.3.7.77
2025-12-04T09:59:32.0663367Z   Downloading nvidia_curand_cu12-10.3.7.77-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (56.3 MB)
2025-12-04T09:59:32.6185667Z Collecting nvidia-cufft-cu12==11.3.0.4
2025-12-04T09:59:32.6223255Z   Downloading nvidia_cufft_cu12-11.3.0.4-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (200.2 MB)
2025-12-04T09:59:34.8995044Z Collecting fsspec
2025-12-04T09:59:34.9030702Z   Downloading fsspec-2025.10.0-py3-none-any.whl (200 kB)
2025-12-04T09:59:34.9454888Z Collecting nvidia-nvjitlink-cu12==12.6.85
2025-12-04T09:59:34.9522011Z   Downloading nvidia_nvjitlink_cu12-12.6.85-py3-none-manylinux2010_x86_64.manylinux_2_12_x86_64.whl (19.7 MB)
2025-12-04T09:59:35.1712414Z Collecting triton==3.3.1
2025-12-04T09:59:35.1781179Z   Downloading triton-3.3.1-cp39-cp39-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (155.6 MB)
2025-12-04T09:59:36.6816386Z Collecting nvidia-nvtx-cu12==12.6.77
2025-12-04T09:59:36.6862430Z   Downloading nvidia_nvtx_cu12-12.6.77-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (89 kB)
2025-12-04T09:59:36.7227700Z Collecting nvidia-cublas-cu12==12.6.4.1
2025-12-04T09:59:36.7291093Z   Downloading nvidia_cublas_cu12-12.6.4.1-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (393.1 MB)
2025-12-04T09:59:41.8973242Z Requirement already satisfied: setuptools>=40.8.0 in /usr/lib/python3.9/site-packages (from triton==3.3.1->torch==2.7.1) (59.6.0)
2025-12-04T09:59:41.9307849Z Collecting mpmath<1.4,>=1.1.0
2025-12-04T09:59:41.9345642Z   Downloading mpmath-1.3.0-py3-none-any.whl (536 kB)
2025-12-04T09:59:42.0307498Z Requirement already satisfied: MarkupSafe>=0.23 in /usr/lib64/python3.9/site-packages (from jinja2->torch==2.7.1) (1.1.1)
2025-12-04T09:59:42.3875685Z Installing collected packages: nvidia-nvjitlink-cu12, nvidia-cusparse-cu12, nvidia-cublas-cu12, mpmath, triton, sympy, nvidia-nvtx-cu12, nvidia-nccl-cu12, nvidia-cusparselt-cu12, nvidia-cusolver-cu12, nvidia-curand-cu12, nvidia-cufile-cu12, nvidia-cufft-cu12, nvidia-cudnn-cu12, nvidia-cuda-runtime-cu12, nvidia-cuda-nvrtc-cu12, nvidia-cuda-cupti-cu12, networkx, fsspec, filelock, torch
2025-12-04T09:59:51.8211405Z   WARNING: The scripts proton and proton-viewer are installed in '/home/ec2-user/.local/bin' which is not on PATH.
2025-12-04T09:59:51.8213682Z   Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location.
2025-12-04T09:59:55.9651546Z   WARNING: The script isympy is installed in '/home/ec2-user/.local/bin' which is not on PATH.
2025-12-04T09:59:55.9652325Z   Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location.
2025-12-04T10:00:27.6507186Z   WARNING: The scripts torchfrtrace and torchrun are installed in '/home/ec2-user/.local/bin' which is not on PATH.
2025-12-04T10:00:27.6509554Z   Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location.
2025-12-04T10:00:27.8421205Z Successfully installed filelock-3.19.1 fsspec-2025.10.0 mpmath-1.3.0 networkx-3.2.1 nvidia-cublas-cu12-12.6.4.1 nvidia-cuda-cupti-cu12-12.6.80 nvidia-cuda-nvrtc-cu12-12.6.77 nvidia-cuda-runtime-cu12-12.6.77 nvidia-cudnn-cu12-9.5.1.17 nvidia-cufft-cu12-11.3.0.4 nvidia-cufile-cu12-1.11.1.6 nvidia-curand-cu12-10.3.7.77 nvidia-cusolver-cu12-11.7.1.2 nvidia-cusparse-cu12-12.5.4.2 nvidia-cusparselt-cu12-0.6.3 nvidia-nccl-cu12-2.26.2 nvidia-nvjitlink-cu12-12.6.85 nvidia-nvtx-cu12-12.6.77 sympy-1.14.0 torch-2.7.1 triton-3.3.1
2025-12-04T10:00:28.5475735Z + echo DEVICE_NAME=
2025-12-04T10:00:28.5476152Z + echo DEVICE_TYPE=
2025-12-04T10:00:28.5516630Z ##[group]Run set -eux
2025-12-04T10:00:28.5516868Z set -eux
2025-12-04T10:00:28.5517068Z 
2025-12-04T10:00:28.5517291Z if [[ -z "${GITHUB_TOKEN}" ]]; then
2025-12-04T10:00:28.5517606Z   echo "Missing github-token input"
2025-12-04T10:00:28.5517886Z   exit 1
2025-12-04T10:00:28.5518081Z fi
2025-12-04T10:00:28.5529070Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T10:00:28.5529530Z env:
2025-12-04T10:00:28.5529733Z   GIT_DEFAULT_BRANCH: main
2025-12-04T10:00:28.5529986Z   HAS_NVIDIA_GPU: true
2025-12-04T10:00:28.5530270Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-12-04T10:00:28.5530770Z   DOCKER_CONTAINER_ID: 41acfaf588920518f3cf2357a25538f09c929edfbb46691277c336603808fef6
2025-12-04T10:00:28.5531211Z   DEVICE_NAME: 
2025-12-04T10:00:28.5531405Z   DEVICE_TYPE: 
2025-12-04T10:00:28.5531912Z   GITHUB_TOKEN: ***
2025-12-04T10:00:28.5532134Z ##[endgroup]
2025-12-04T10:00:28.5657961Z + [[ -z *** ]]
2025-12-04T10:00:28.5742942Z ##[group]Run pytorch/test-infra/.github/actions/get-workflow-job-id@main
2025-12-04T10:00:28.5743341Z with:
2025-12-04T10:00:28.5743667Z   github-token: ***
2025-12-04T10:00:28.5743865Z env:
2025-12-04T10:00:28.5754276Z   GIT_DEFAULT_BRANCH: main
2025-12-04T10:00:28.5754545Z   HAS_NVIDIA_GPU: true
2025-12-04T10:00:28.5754841Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-12-04T10:00:28.5755353Z   DOCKER_CONTAINER_ID: 41acfaf588920518f3cf2357a25538f09c929edfbb46691277c336603808fef6
2025-12-04T10:00:28.5755808Z   DEVICE_NAME: 
2025-12-04T10:00:28.5755998Z   DEVICE_TYPE: 
2025-12-04T10:00:28.5756197Z ##[endgroup]
2025-12-04T10:00:28.5839905Z ##[group]Run set -eux
2025-12-04T10:00:28.5840142Z set -eux
2025-12-04T10:00:28.5840332Z 
2025-12-04T10:00:28.5840768Z python3 "${GITHUB_ACTION_PATH}/../../scripts/get_workflow_job_id.py" "${GITHUB_RUN_ID}" "${RUNNER_NAME}"
2025-12-04T10:00:28.5849939Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T10:00:28.5850267Z env:
2025-12-04T10:00:28.5850458Z   GIT_DEFAULT_BRANCH: main
2025-12-04T10:00:28.5850699Z   HAS_NVIDIA_GPU: true
2025-12-04T10:00:28.5850971Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-12-04T10:00:28.5851510Z   DOCKER_CONTAINER_ID: 41acfaf588920518f3cf2357a25538f09c929edfbb46691277c336603808fef6
2025-12-04T10:00:28.5851971Z   DEVICE_NAME: 
2025-12-04T10:00:28.5852173Z   DEVICE_TYPE: 
2025-12-04T10:00:28.5852500Z   GITHUB_TOKEN: ***
2025-12-04T10:00:28.5852722Z ##[endgroup]
2025-12-04T10:00:28.5882990Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/get-workflow-job-id/../../scripts/get_workflow_job_id.py 19922777333 i-075e7fbe9a561d9a2
2025-12-04T10:00:29.6692881Z setting job-id=57118472355
2025-12-04T10:00:29.6693888Z setting job-name=inductor-test / test (inductor, 1, 2, linux.g5.4xlarge.nvidia.gpu, rerun_disabled_tests)
2025-12-04T10:00:29.6803921Z ##[group]Run set -eux
2025-12-04T10:00:29.6804173Z set -eux
2025-12-04T10:00:29.6804372Z 
2025-12-04T10:00:29.6804562Z if [[ -n "" ]]; then
2025-12-04T10:00:29.6804809Z   source ""
2025-12-04T10:00:29.6805025Z fi
2025-12-04T10:00:29.6805205Z 
2025-12-04T10:00:29.6805554Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_metadata.py" \
2025-12-04T10:00:29.6806024Z   --schema-version "${SCHEMA_VERSION}" \
2025-12-04T10:00:29.6806344Z   --repo "${REPO}" \
2025-12-04T10:00:29.6806804Z   --head-branch "${HEAD_BRANCH}" \
2025-12-04T10:00:29.6807112Z   --head-sha "${HEAD_SHA}" \
2025-12-04T10:00:29.6807432Z   --workflow-id "${WORKFLOW_RUN_ID}" \
2025-12-04T10:00:29.6807754Z   --run-attempt "${RUN_ATTEMPT}" \
2025-12-04T10:00:29.6808049Z   --job-id "${JOB_ID}" \
2025-12-04T10:00:29.6808325Z   --job-name "${JOB_NAME}"
2025-12-04T10:00:29.6817765Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T10:00:29.6818102Z env:
2025-12-04T10:00:29.6818302Z   GIT_DEFAULT_BRANCH: main
2025-12-04T10:00:29.6818536Z   HAS_NVIDIA_GPU: true
2025-12-04T10:00:29.6818837Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-12-04T10:00:29.6819340Z   DOCKER_CONTAINER_ID: 41acfaf588920518f3cf2357a25538f09c929edfbb46691277c336603808fef6
2025-12-04T10:00:29.6819785Z   DEVICE_NAME: 
2025-12-04T10:00:29.6819985Z   DEVICE_TYPE: 
2025-12-04T10:00:29.6820276Z   SCHEMA_VERSION: v3
2025-12-04T10:00:29.6820504Z   REPO: pytorch/pytorch
2025-12-04T10:00:29.6820744Z   HEAD_BRANCH: refs/heads/main
2025-12-04T10:00:29.6821043Z   HEAD_SHA: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T10:00:29.6821368Z   WORKFLOW_RUN_ID: 19922777333
2025-12-04T10:00:29.6821599Z   RUN_ATTEMPT: 1
2025-12-04T10:00:29.6821797Z   JOB_ID: 57118472355
2025-12-04T10:00:29.6822211Z   JOB_NAME: inductor-test / test (inductor, 1, 2, linux.g5.4xlarge.nvidia.gpu, rerun_disabled_tests)
2025-12-04T10:00:29.6822748Z ##[endgroup]
2025-12-04T10:00:29.6854875Z + [[ -n '' ]]
2025-12-04T10:00:29.6856774Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_metadata.py --schema-version v3 --repo pytorch/pytorch --head-branch refs/heads/main --head-sha ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 --workflow-id 19922777333 --run-attempt 1 --job-id 57118472355 --job-name 'inductor-test / test (inductor, 1, 2, linux.g5.4xlarge.nvidia.gpu, rerun_disabled_tests)'
2025-12-04T10:00:29.7222612Z ##[group]Run set -eux
2025-12-04T10:00:29.7222862Z set -eux
2025-12-04T10:00:29.7223054Z 
2025-12-04T10:00:29.7223255Z if [[ -n "" ]]; then
2025-12-04T10:00:29.7223507Z   source ""
2025-12-04T10:00:29.7223713Z fi
2025-12-04T10:00:29.7223894Z 
2025-12-04T10:00:29.7224244Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_runners_info.py"
2025-12-04T10:00:29.7233419Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T10:00:29.7233748Z env:
2025-12-04T10:00:29.7233937Z   GIT_DEFAULT_BRANCH: main
2025-12-04T10:00:29.7234174Z   HAS_NVIDIA_GPU: true
2025-12-04T10:00:29.7234452Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-12-04T10:00:29.7234945Z   DOCKER_CONTAINER_ID: 41acfaf588920518f3cf2357a25538f09c929edfbb46691277c336603808fef6
2025-12-04T10:00:29.7235379Z   DEVICE_NAME: 
2025-12-04T10:00:29.7235577Z   DEVICE_TYPE: 
2025-12-04T10:00:29.7235770Z ##[endgroup]
2025-12-04T10:00:29.7267167Z + [[ -n '' ]]
2025-12-04T10:00:29.7268239Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_runners_info.py
2025-12-04T10:00:30.7032768Z /home/ec2-user/.local/lib/python3.9/site-packages/torch/_subclasses/functional_tensor.py:276: UserWarning: Failed to initialize NumPy: No module named 'numpy' (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:81.)
2025-12-04T10:00:30.7033909Z   cpu = _conversion_method_template(device=torch.device("cpu"))
2025-12-04T10:00:31.6860273Z ##[group]Run set -eux
2025-12-04T10:00:31.6860510Z set -eux
2025-12-04T10:00:31.6860712Z 
2025-12-04T10:00:31.6860930Z # TODO (huydhn): Implement this part
2025-12-04T10:00:31.6861281Z echo "dependencies={}" >> "${GITHUB_OUTPUT}"
2025-12-04T10:00:31.6871849Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T10:00:31.6872282Z env:
2025-12-04T10:00:31.6872728Z   GIT_DEFAULT_BRANCH: main
2025-12-04T10:00:31.6873023Z   HAS_NVIDIA_GPU: true
2025-12-04T10:00:31.6873380Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-12-04T10:00:31.6873930Z   DOCKER_CONTAINER_ID: 41acfaf588920518f3cf2357a25538f09c929edfbb46691277c336603808fef6
2025-12-04T10:00:31.6874371Z   DEVICE_NAME: 
2025-12-04T10:00:31.6874570Z   DEVICE_TYPE: 
2025-12-04T10:00:31.6874775Z ##[endgroup]
2025-12-04T10:00:31.6908548Z + echo 'dependencies={}'
2025-12-04T10:00:31.6986388Z ##[group]Run set -eux
2025-12-04T10:00:31.6986642Z set -eux
2025-12-04T10:00:31.6986844Z 
2025-12-04T10:00:31.6987033Z if [[ -n "" ]]; then
2025-12-04T10:00:31.6987279Z   source ""
2025-12-04T10:00:31.6987486Z fi
2025-12-04T10:00:31.6987665Z 
2025-12-04T10:00:31.6987902Z if [[ ! -d "${BENCHMARK_RESULTS_DIR}" ]]; then
2025-12-04T10:00:31.6988302Z   echo "${BENCHMARK_RESULTS_DIR} does not exist, skipping"
2025-12-04T10:00:31.6988871Z   # We don't want the job to fail if the directory doesn't exist
2025-12-04T10:00:31.6989210Z   exit 0
2025-12-04T10:00:31.6989405Z fi
2025-12-04T10:00:31.6989593Z 
2025-12-04T10:00:31.6989799Z if [[ "${DRY_RUN}" == "true" ]]; then
2025-12-04T10:00:31.6990226Z   python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \
2025-12-04T10:00:31.6990816Z     --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \
2025-12-04T10:00:31.6991206Z     --metadata "${BENCHMARK_METADATA}" \
2025-12-04T10:00:31.6991519Z     --runners "${RUNNER_INFO}" \
2025-12-04T10:00:31.6991833Z     --dependencies "${DEPENDENCIES}" \
2025-12-04T10:00:31.6992129Z     --dry-run
2025-12-04T10:00:31.6992342Z else
2025-12-04T10:00:31.6992686Z   python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \
2025-12-04T10:00:31.6993195Z     --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \
2025-12-04T10:00:31.6993580Z     --metadata "${BENCHMARK_METADATA}" \
2025-12-04T10:00:31.6993891Z     --runners "${RUNNER_INFO}" \
2025-12-04T10:00:31.6994212Z     --dependencies "${DEPENDENCIES}"
2025-12-04T10:00:31.6994499Z fi
2025-12-04T10:00:31.7003838Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T10:00:31.7013958Z env:
2025-12-04T10:00:31.7014681Z   GIT_DEFAULT_BRANCH: main
2025-12-04T10:00:31.7014933Z   HAS_NVIDIA_GPU: true
2025-12-04T10:00:31.7015230Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-12-04T10:00:31.7015736Z   DOCKER_CONTAINER_ID: 41acfaf588920518f3cf2357a25538f09c929edfbb46691277c336603808fef6
2025-12-04T10:00:31.7016179Z   DEVICE_NAME: 
2025-12-04T10:00:31.7016389Z   DEVICE_TYPE: 
2025-12-04T10:00:31.7016625Z   BENCHMARK_RESULTS_DIR: test/test-reports
2025-12-04T10:00:31.7016906Z   DRY_RUN: false
2025-12-04T10:00:31.7018125Z   BENCHMARK_METADATA: {"timestamp": 1764842429, "schema_version": "v3", "name": "inductor-test / test (inductor, 1, 2, linux.g5.4xlarge.nvidia.gpu, rerun_disabled_tests)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32", "workflow_id": 19922777333, "run_attempt": 1, "job_id": 57118472355}
2025-12-04T10:00:31.7019832Z   RUNNER_INFO: [{"cpu_info": "x86_64", "cpu_count": 16, "avail_mem_in_gb": 62, "extra_info": {"hostname": "ip-10-0-67-207.ec2.internal"}, "name": "cuda", "type": "NVIDIA A10G", "gpu_count": 1, "avail_gpu_mem_in_gb": 22}]
2025-12-04T10:00:31.7020543Z   DEPENDENCIES: {}
2025-12-04T10:00:31.7020756Z ##[endgroup]
2025-12-04T10:00:31.7051965Z + [[ -n '' ]]
2025-12-04T10:00:31.7052496Z + [[ ! -d test/test-reports ]]
2025-12-04T10:00:31.7052980Z + [[ false == \t\r\u\e ]]
2025-12-04T10:00:31.7055911Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/upload_benchmark_results.py --benchmark-results-dir test/test-reports --metadata '{"timestamp": 1764842429, "schema_version": "v3", "name": "inductor-test / test (inductor, 1, 2, linux.g5.4xlarge.nvidia.gpu, rerun_disabled_tests)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32", "workflow_id": 19922777333, "run_attempt": 1, "job_id": 57118472355}' --runners '[{"cpu_info": "x86_64", "cpu_count": 16, "avail_mem_in_gb": 62, "extra_info": {"hostname": "ip-10-0-67-207.ec2.internal"}, "name": "cuda", "type": "NVIDIA A10G", "gpu_count": 1, "avail_gpu_mem_in_gb": 22}]' --dependencies '{}'
2025-12-04T10:00:31.9009723Z /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/upload_benchmark_results.py:236: UserWarning: {'included': [{'test_file': 'test_modules'}, {'test_file': 'test_ops'}, {'test_file': 'test_ops_gradients'}, {'test_file': 'test_torch'}], 'excluded': []} from test/test-reports/td_exclusions-25001dc8b62653981e73.json is not a benchmark record, skipping
2025-12-04T10:00:31.9011534Z   warn(f"{result} from {filepath} is not a benchmark record, skipping")
2025-12-04T10:00:31.9013354Z /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/upload_benchmark_results.py:236: UserWarning: {'included': [{'test_file': 'inductor/test_aot_inductor'}, {'test_file': 'inductor/test_torchinductor'}, {'test_file': 'inductor/test_torchinductor_opinfo'}], 'excluded': []} from test/test-reports/td_exclusions-2991f0d0e6a46959a464.json is not a benchmark record, skipping
2025-12-04T10:00:31.9015221Z   warn(f"{result} from {filepath} is not a benchmark record, skipping")
2025-12-04T10:00:31.9263221Z ##[group]Run cat test/**/*_toprint.log || true
2025-12-04T10:00:31.9263589Z cat test/**/*_toprint.log || true
2025-12-04T10:00:31.9272734Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T10:00:31.9273082Z env:
2025-12-04T10:00:31.9273273Z   GIT_DEFAULT_BRANCH: main
2025-12-04T10:00:31.9273521Z   HAS_NVIDIA_GPU: true
2025-12-04T10:00:31.9273804Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-12-04T10:00:31.9274298Z   DOCKER_CONTAINER_ID: 41acfaf588920518f3cf2357a25538f09c929edfbb46691277c336603808fef6
2025-12-04T10:00:31.9274741Z   DEVICE_NAME: 
2025-12-04T10:00:31.9274944Z   DEVICE_TYPE: 
2025-12-04T10:00:31.9275143Z ##[endgroup]
2025-12-04T10:00:31.9429572Z cat: 'test/**/*_toprint.log': No such file or directory
2025-12-04T10:00:31.9518508Z ##[group]Run kill "$MONITOR_SCRIPT_PID"
2025-12-04T10:00:31.9518835Z kill "$MONITOR_SCRIPT_PID"
2025-12-04T10:00:31.9527312Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T10:00:31.9527644Z env:
2025-12-04T10:00:31.9527832Z   GIT_DEFAULT_BRANCH: main
2025-12-04T10:00:31.9528071Z   HAS_NVIDIA_GPU: true
2025-12-04T10:00:31.9528347Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-12-04T10:00:31.9528859Z   DOCKER_CONTAINER_ID: 41acfaf588920518f3cf2357a25538f09c929edfbb46691277c336603808fef6
2025-12-04T10:00:31.9529300Z   DEVICE_NAME: 
2025-12-04T10:00:31.9529499Z   DEVICE_TYPE: 
2025-12-04T10:00:31.9529703Z   MONITOR_SCRIPT_PID: 59893
2025-12-04T10:00:31.9529942Z ##[endgroup]
2025-12-04T10:00:31.9564395Z /home/ec2-user/actions-runner/_work/_temp/8858149a-56e0-4b3a-b69d-0cd024388606.sh: line 1: kill: (59893) - No such process
2025-12-04T10:00:31.9568700Z ##[error]Process completed with exit code 1.
2025-12-04T10:00:31.9679847Z Prepare all required actions
2025-12-04T10:00:31.9680212Z Getting action download info
2025-12-04T10:00:32.1518061Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a)
2025-12-04T10:00:32.9049548Z Download action repository 'actions/upload-artifact@v4' (SHA:ea165f8d65b6e75b540449e92b4886f43607fa02)
2025-12-04T10:00:35.0959417Z ##[group]Run ./.github/actions/upload-test-artifacts
2025-12-04T10:00:35.0959722Z with:
2025-12-04T10:00:35.0960080Z   file-suffix: test-inductor-1-2-linux.g5.4xlarge.nvidia.gpu_57118472355
2025-12-04T10:00:35.0960497Z   s3-bucket: gha-artifacts
2025-12-04T10:00:35.0960731Z env:
2025-12-04T10:00:35.0960923Z   GIT_DEFAULT_BRANCH: main
2025-12-04T10:00:35.0961154Z   HAS_NVIDIA_GPU: true
2025-12-04T10:00:35.0961445Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-12-04T10:00:35.0961954Z   DOCKER_CONTAINER_ID: 41acfaf588920518f3cf2357a25538f09c929edfbb46691277c336603808fef6
2025-12-04T10:00:35.0962425Z   DEVICE_NAME: 
2025-12-04T10:00:35.0962637Z   DEVICE_TYPE: 
2025-12-04T10:00:35.0962835Z ##[endgroup]
2025-12-04T10:00:35.1079348Z ##[group]Run # Remove any previous test jsons if they exist
2025-12-04T10:00:35.1079766Z # Remove any previous test jsons if they exist
2025-12-04T10:00:35.1080120Z rm -f test-jsons-*.zip
2025-12-04T10:00:35.1080506Z zip -r "test-jsons-${FILE_SUFFIX}.zip" test/test-reports -i '*.json'
2025-12-04T10:00:35.1089744Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T10:00:35.1090198Z env:
2025-12-04T10:00:35.1090391Z   GIT_DEFAULT_BRANCH: main
2025-12-04T10:00:35.1090622Z   HAS_NVIDIA_GPU: true
2025-12-04T10:00:35.1090900Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-12-04T10:00:35.1091406Z   DOCKER_CONTAINER_ID: 41acfaf588920518f3cf2357a25538f09c929edfbb46691277c336603808fef6
2025-12-04T10:00:35.1091840Z   DEVICE_NAME: 
2025-12-04T10:00:35.1092114Z   DEVICE_TYPE: 
2025-12-04T10:00:35.1092467Z   FILE_SUFFIX: test-inductor-1-2-linux.g5.4xlarge.nvidia.gpu_57118472355
2025-12-04T10:00:35.1092859Z ##[endgroup]
2025-12-04T10:00:35.1825113Z   adding: test/test-reports/td_exclusions-25001dc8b62653981e73.json (deflated 51%)
2025-12-04T10:00:35.1998411Z   adding: test/test-reports/python-pytest/test_torch/test_torch-c1a49d90b2c3156f.json (deflated 99%)
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2025-12-04T10:00:35.2295447Z   adding: test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-cf99266a934fe7a3.json (stored 0%)
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2025-12-04T10:00:35.2305690Z   adding: test/test-reports/python-pytest/inductor.test_torchinductor/inductor.test_torchinductor-df2fbd85c96ca5a8.json (stored 0%)
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2025-12-04T10:00:35.2543094Z   adding: test/test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-4bc08a14bc206665.json (stored 0%)
2025-12-04T10:00:35.2544325Z   adding: test/test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-0116476881cc98ef.json (stored 0%)
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2025-12-04T10:00:35.2546648Z   adding: test/test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-c2489e93904dfddd.json (stored 0%)
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2025-12-04T10:00:35.2548837Z   adding: test/test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-65dd665c8003ac70.json (stored 0%)
2025-12-04T10:00:35.2549952Z   adding: test/test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-4e8da1b4c82d2279.json (deflated 98%)
2025-12-04T10:00:35.2551075Z   adding: test/test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-8d72e67496250dbd.json (deflated 99%)
2025-12-04T10:00:35.2552188Z   adding: test/test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-772821965e11e619.json (deflated 99%)
2025-12-04T10:00:35.2553305Z   adding: test/test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-e58cea07b3e51feb.json (stored 0%)
2025-12-04T10:00:35.2556119Z   adding: test/test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-98dbeabfacc21586.json (deflated 99%)
2025-12-04T10:00:35.2568556Z   adding: test/test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-ce064b265c066eff.json (deflated 98%)
2025-12-04T10:00:35.2569418Z   adding: test/test-reports/td_exclusions-2991f0d0e6a46959a464.json (deflated 56%)
2025-12-04T10:00:35.2664139Z ##[group]Run # Remove any previous test reports if they exist
2025-12-04T10:00:35.2664733Z # Remove any previous test reports if they exist
2025-12-04T10:00:35.2665364Z rm -f test-reports-*.zip
2025-12-04T10:00:35.2666041Z zip -r "test-reports-${FILE_SUFFIX}.zip" test/test-reports -i '*.xml' -i '*.csv'
2025-12-04T10:00:35.2677254Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T10:00:35.2677597Z env:
2025-12-04T10:00:35.2677785Z   GIT_DEFAULT_BRANCH: main
2025-12-04T10:00:35.2678032Z   HAS_NVIDIA_GPU: true
2025-12-04T10:00:35.2678313Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-12-04T10:00:35.2678815Z   DOCKER_CONTAINER_ID: 41acfaf588920518f3cf2357a25538f09c929edfbb46691277c336603808fef6
2025-12-04T10:00:35.2679244Z   DEVICE_NAME: 
2025-12-04T10:00:35.2679439Z   DEVICE_TYPE: 
2025-12-04T10:00:35.2679782Z   FILE_SUFFIX: test-inductor-1-2-linux.g5.4xlarge.nvidia.gpu_57118472355
2025-12-04T10:00:35.2680162Z ##[endgroup]
2025-12-04T10:00:35.2931760Z   adding: test/test-reports/python-pytest/test_torch/test_torch-c1a49d90b2c3156f.xml (deflated 99%)
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2025-12-04T10:00:35.3169453Z   adding: test/test-reports/python-pytest/test_ops_gradients/test_ops_gradients-9049800b8f92b541.xml (deflated 32%)
2025-12-04T10:00:35.3222001Z   adding: test/test-reports/python-pytest/test_ops_gradients/test_ops_gradients-2b9cae2d91c50ce0.xml (deflated 99%)
2025-12-04T10:00:35.3222943Z   adding: test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-cf99266a934fe7a3.xml (deflated 32%)
2025-12-04T10:00:35.3223922Z   adding: test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-0c8273ead8b7b639.xml (deflated 33%)
2025-12-04T10:00:35.3224907Z   adding: test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-6b9c0d7f0c12a50a.xml (deflated 32%)
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2025-12-04T10:00:35.3226915Z   adding: test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-42169263dc95fc8f.xml (deflated 32%)
2025-12-04T10:00:35.3227889Z   adding: test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-1c6c2bbeeff5553a.xml (deflated 32%)
2025-12-04T10:00:35.3228896Z   adding: test/test-reports/python-pytest/inductor.test_torchinductor/inductor.test_torchinductor-df2fbd85c96ca5a8.xml (deflated 32%)
2025-12-04T10:00:35.3470628Z   adding: test/test-reports/python-pytest/inductor.test_torchinductor/inductor.test_torchinductor-a4fec4ddfef9960b.xml (deflated 98%)
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2025-12-04T10:00:35.3480156Z   adding: test/test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-4e8da1b4c82d2279.xml (deflated 98%)
2025-12-04T10:00:35.3481251Z   adding: test/test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-8d72e67496250dbd.xml (deflated 99%)
2025-12-04T10:00:35.3482333Z   adding: test/test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-772821965e11e619.xml (deflated 99%)
2025-12-04T10:00:35.3483429Z   adding: test/test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-e58cea07b3e51feb.xml (deflated 32%)
2025-12-04T10:00:35.3484597Z   adding: test/test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-98dbeabfacc21586.xml (deflated 99%)
2025-12-04T10:00:35.3494374Z   adding: test/test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-ce064b265c066eff.xml (deflated 98%)
2025-12-04T10:00:35.3523195Z ##[group]Run # Remove any previous usage logs if they exist
2025-12-04T10:00:35.3523616Z # Remove any previous usage logs if they exist
2025-12-04T10:00:35.3523957Z rm -f logs-*.zip
2025-12-04T10:00:35.3524281Z zip "logs-${FILE_SUFFIX}.zip" 'usage_log.txt' || true
2025-12-04T10:00:35.3524752Z zip -r "logs-${FILE_SUFFIX}.zip" test/test-reports -i '*.log' || true
2025-12-04T10:00:35.3533754Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T10:00:35.3534105Z env:
2025-12-04T10:00:35.3534311Z   GIT_DEFAULT_BRANCH: main
2025-12-04T10:00:35.3534559Z   HAS_NVIDIA_GPU: true
2025-12-04T10:00:35.3534854Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-12-04T10:00:35.3535368Z   DOCKER_CONTAINER_ID: 41acfaf588920518f3cf2357a25538f09c929edfbb46691277c336603808fef6
2025-12-04T10:00:35.3535808Z   DEVICE_NAME: 
2025-12-04T10:00:35.3536027Z   DEVICE_TYPE: 
2025-12-04T10:00:35.3536382Z   FILE_SUFFIX: test-inductor-1-2-linux.g5.4xlarge.nvidia.gpu_57118472355
2025-12-04T10:00:35.3536797Z ##[endgroup]
2025-12-04T10:00:35.3595016Z   adding: usage_log.txt (deflated 58%)
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2025-12-04T10:00:35.3669617Z   adding: test/test-reports/inductor.test_torchinductor_1.2_14fb6000b64feeeb_.log (deflated 49%)
2025-12-04T10:00:35.3670501Z   adding: test/test-reports/inductor.test_torchinductor_opinfo_3.12_3de6e176afff1b2f_.log (deflated 50%)
2025-12-04T10:00:35.3671326Z   adding: test/test-reports/inductor.test_torchinductor_opinfo_5.12_14ede05323f4d179_.log (deflated 50%)
2025-12-04T10:00:35.3672295Z   adding: test/test-reports/inductor.test_torchinductor_opinfo_6.12_c36332cbcde50cf4_.log (deflated 50%)
2025-12-04T10:00:35.3673112Z   adding: test/test-reports/inductor.test_torchinductor_opinfo_9.12_e21dd8b8d0c43bcd_.log (deflated 50%)
2025-12-04T10:00:35.3673977Z   adding: test/test-reports/inductor.test_torchinductor_opinfo_11.12_69ba1ab7064cf6f9_.log (deflated 50%)
2025-12-04T10:00:35.3674904Z   adding: test/test-reports/inductor.test_torchinductor_opinfo_12.12_b9a415e4839c09ce_.log (deflated 50%)
2025-12-04T10:00:35.3675716Z   adding: test/test-reports/inductor.test_aot_inductor_3.4_3790280800caa198_.log (deflated 49%)
2025-12-04T10:00:35.3676427Z   adding: test/test-reports/inductor.test_aot_inductor_1.4_a09f5f46bd6502f2_.log (deflated 49%)
2025-12-04T10:00:35.3677094Z   adding: test/test-reports/inductor.test_aot_inductor_4.4_9ce434cf64e5eea9_.log (deflated 49%)
2025-12-04T10:00:35.3677965Z   adding: test/test-reports/inductor.test_torchinductor_opinfo_3.12_3ec7eaea6bbbf745_.log (deflated 94%)
2025-12-04T10:00:35.3680017Z   adding: test/test-reports/inductor.test_torchinductor_opinfo_5.12_0976086765e887ac_.log (deflated 96%)
2025-12-04T10:00:35.3681921Z   adding: test/test-reports/inductor.test_torchinductor_1.2_460a2f1df04c1b55_.log (deflated 94%)
2025-12-04T10:00:35.3684897Z   adding: test/test-reports/inductor.test_torchinductor_opinfo_6.12_45d0c5dd48e7796b_.log (deflated 96%)
2025-12-04T10:00:35.3685762Z   adding: test/test-reports/inductor.test_torchinductor_opinfo_11.12_7b18d82c550bca5e_.log (deflated 49%)
2025-12-04T10:00:35.3689006Z   adding: test/test-reports/inductor.test_torchinductor_opinfo_12.12_411cd4db48c3f483_.log (deflated 96%)
2025-12-04T10:00:35.3702955Z   adding: test/test-reports/inductor.test_torchinductor_opinfo_9.12_6bac42cd6fe2ef7e_.log (deflated 98%)
2025-12-04T10:00:35.3744836Z ##[group]Run # Remove any previous debugging artifacts if they exist
2025-12-04T10:00:35.3745447Z # Remove any previous debugging artifacts if they exist
2025-12-04T10:00:35.3745805Z rm -f debug-*.zip
2025-12-04T10:00:35.3746058Z if [ -d 'test/debug' ]; then
2025-12-04T10:00:35.3746381Z   zip -r "debug-${FILE_SUFFIX}.zip" test/debug
2025-12-04T10:00:35.3746674Z fi
2025-12-04T10:00:35.3755599Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T10:00:35.3755933Z env:
2025-12-04T10:00:35.3756128Z   GIT_DEFAULT_BRANCH: main
2025-12-04T10:00:35.3756543Z   HAS_NVIDIA_GPU: true
2025-12-04T10:00:35.3756838Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-12-04T10:00:35.3757334Z   DOCKER_CONTAINER_ID: 41acfaf588920518f3cf2357a25538f09c929edfbb46691277c336603808fef6
2025-12-04T10:00:35.3757761Z   DEVICE_NAME: 
2025-12-04T10:00:35.3757968Z   DEVICE_TYPE: 
2025-12-04T10:00:35.3758305Z   FILE_SUFFIX: test-inductor-1-2-linux.g5.4xlarge.nvidia.gpu_57118472355
2025-12-04T10:00:35.3758694Z ##[endgroup]
2025-12-04T10:00:35.3876469Z ##[group]Run seemethere/upload-artifact-s3@v5
2025-12-04T10:00:35.3876763Z with:
2025-12-04T10:00:35.3876957Z   s3-bucket: gha-artifacts
2025-12-04T10:00:35.3877251Z   s3-prefix: pytorch/pytorch/19922777333/1/artifact

2025-12-04T10:00:35.3877555Z   retention-days: 14
2025-12-04T10:00:35.3877782Z   if-no-files-found: warn
2025-12-04T10:00:35.3878028Z   path: test-jsons-*.zip
2025-12-04T10:00:35.3878248Z   name: artifact
2025-12-04T10:00:35.3878456Z   region: us-east-1
2025-12-04T10:00:35.3878661Z env:
2025-12-04T10:00:35.3878847Z   GIT_DEFAULT_BRANCH: main
2025-12-04T10:00:35.3879081Z   HAS_NVIDIA_GPU: true
2025-12-04T10:00:35.3879364Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-12-04T10:00:35.3879862Z   DOCKER_CONTAINER_ID: 41acfaf588920518f3cf2357a25538f09c929edfbb46691277c336603808fef6
2025-12-04T10:00:35.3880293Z   DEVICE_NAME: 
2025-12-04T10:00:35.3880496Z   DEVICE_TYPE: 
2025-12-04T10:00:35.3880695Z ##[endgroup]
2025-12-04T10:00:35.8412656Z NOTE: s3-prefix specified, ignoring name parameter
2025-12-04T10:00:35.8413498Z With the provided path, there will be 1 file uploaded
2025-12-04T10:00:35.8414049Z Uploading to s3 prefix: pytorch/pytorch/19922777333/1/artifact
2025-12-04T10:00:35.8488151Z Starting upload of test-jsons-test-inductor-1-2-linux.g5.4xlarge.nvidia.gpu_57118472355.zip
2025-12-04T10:00:35.9881680Z Finished upload of test-jsons-test-inductor-1-2-linux.g5.4xlarge.nvidia.gpu_57118472355.zip
2025-12-04T10:00:36.0174977Z ##[group]Run seemethere/upload-artifact-s3@v5
2025-12-04T10:00:36.0175414Z with:
2025-12-04T10:00:36.0175616Z   s3-bucket: gha-artifacts
2025-12-04T10:00:36.0175901Z   s3-prefix: pytorch/pytorch/19922777333/1/artifact

2025-12-04T10:00:36.0176216Z   retention-days: 14
2025-12-04T10:00:36.0176449Z   if-no-files-found: error
2025-12-04T10:00:36.0176696Z   path: test-reports-*.zip
2025-12-04T10:00:36.0176932Z   name: artifact
2025-12-04T10:00:36.0177135Z   region: us-east-1
2025-12-04T10:00:36.0177326Z env:
2025-12-04T10:00:36.0177512Z   GIT_DEFAULT_BRANCH: main
2025-12-04T10:00:36.0177748Z   HAS_NVIDIA_GPU: true
2025-12-04T10:00:36.0178033Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-12-04T10:00:36.0178536Z   DOCKER_CONTAINER_ID: 41acfaf588920518f3cf2357a25538f09c929edfbb46691277c336603808fef6
2025-12-04T10:00:36.0178971Z   DEVICE_NAME: 
2025-12-04T10:00:36.0179172Z   DEVICE_TYPE: 
2025-12-04T10:00:36.0179361Z ##[endgroup]
2025-12-04T10:00:36.5764332Z NOTE: s3-prefix specified, ignoring name parameter
2025-12-04T10:00:36.5764939Z With the provided path, there will be 1 file uploaded
2025-12-04T10:00:36.5765507Z Uploading to s3 prefix: pytorch/pytorch/19922777333/1/artifact
2025-12-04T10:00:36.5838106Z Starting upload of test-reports-test-inductor-1-2-linux.g5.4xlarge.nvidia.gpu_57118472355.zip
2025-12-04T10:00:36.7298085Z Finished upload of test-reports-test-inductor-1-2-linux.g5.4xlarge.nvidia.gpu_57118472355.zip
2025-12-04T10:00:36.7607685Z ##[group]Run seemethere/upload-artifact-s3@v5
2025-12-04T10:00:36.7607991Z with:
2025-12-04T10:00:36.7608194Z   s3-bucket: gha-artifacts
2025-12-04T10:00:36.7608506Z   s3-prefix: pytorch/pytorch/19922777333/1/artifact

2025-12-04T10:00:36.7608831Z   retention-days: 14
2025-12-04T10:00:36.7609063Z   if-no-files-found: ignore
2025-12-04T10:00:36.7609313Z   path: logs-*.zip
2025-12-04T10:00:36.7609531Z   name: artifact
2025-12-04T10:00:36.7609734Z   region: us-east-1
2025-12-04T10:00:36.7609954Z env:
2025-12-04T10:00:36.7610159Z   GIT_DEFAULT_BRANCH: main
2025-12-04T10:00:36.7610403Z   HAS_NVIDIA_GPU: true
2025-12-04T10:00:36.7610870Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-12-04T10:00:36.7611384Z   DOCKER_CONTAINER_ID: 41acfaf588920518f3cf2357a25538f09c929edfbb46691277c336603808fef6
2025-12-04T10:00:36.7611826Z   DEVICE_NAME: 
2025-12-04T10:00:36.7612024Z   DEVICE_TYPE: 
2025-12-04T10:00:36.7612235Z ##[endgroup]
2025-12-04T10:00:37.1022087Z NOTE: s3-prefix specified, ignoring name parameter
2025-12-04T10:00:37.1022650Z With the provided path, there will be 1 file uploaded
2025-12-04T10:00:37.1023228Z Uploading to s3 prefix: pytorch/pytorch/19922777333/1/artifact
2025-12-04T10:00:37.1095425Z Starting upload of logs-test-inductor-1-2-linux.g5.4xlarge.nvidia.gpu_57118472355.zip
2025-12-04T10:00:37.2282167Z Finished upload of logs-test-inductor-1-2-linux.g5.4xlarge.nvidia.gpu_57118472355.zip
2025-12-04T10:00:37.2594972Z ##[group]Run seemethere/upload-artifact-s3@v5
2025-12-04T10:00:37.2595269Z with:
2025-12-04T10:00:37.2595468Z   s3-bucket: gha-artifacts
2025-12-04T10:00:37.2595792Z   s3-prefix: pytorch/pytorch/19922777333/1/artifact

2025-12-04T10:00:37.2596104Z   retention-days: 14
2025-12-04T10:00:37.2596330Z   if-no-files-found: ignore
2025-12-04T10:00:37.2596577Z   path: debug-*.zip
2025-12-04T10:00:37.2596784Z   name: artifact
2025-12-04T10:00:37.2596982Z   region: us-east-1
2025-12-04T10:00:37.2597178Z env:
2025-12-04T10:00:37.2597371Z   GIT_DEFAULT_BRANCH: main
2025-12-04T10:00:37.2597606Z   HAS_NVIDIA_GPU: true
2025-12-04T10:00:37.2597903Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-12-04T10:00:37.2598529Z   DOCKER_CONTAINER_ID: 41acfaf588920518f3cf2357a25538f09c929edfbb46691277c336603808fef6
2025-12-04T10:00:37.2598965Z   DEVICE_NAME: 
2025-12-04T10:00:37.2599162Z   DEVICE_TYPE: 
2025-12-04T10:00:37.2599358Z ##[endgroup]
2025-12-04T10:00:37.5873896Z No files were found with the provided path: debug-*.zip. No artifacts will be uploaded.
2025-12-04T10:00:37.6159997Z ##[group]Run # shellcheck disable=SC2156
2025-12-04T10:00:37.6160459Z # shellcheck disable=SC2156
2025-12-04T10:00:37.6160996Z find . -iname "core.[1-9]*" -exec docker exec "${DOCKER_CONTAINER_ID}" sh -c "gdb python {} -ex 'bt' -ex 'q'" \;
2025-12-04T10:00:37.6171106Z shell: /usr/bin/bash -e {0}
2025-12-04T10:00:37.6171365Z env:
2025-12-04T10:00:37.6171572Z   GIT_DEFAULT_BRANCH: main
2025-12-04T10:00:37.6171816Z   HAS_NVIDIA_GPU: true
2025-12-04T10:00:37.6172116Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-12-04T10:00:37.6172626Z   DOCKER_CONTAINER_ID: 41acfaf588920518f3cf2357a25538f09c929edfbb46691277c336603808fef6
2025-12-04T10:00:37.6173089Z   DEVICE_NAME: 
2025-12-04T10:00:37.6173296Z   DEVICE_TYPE: 
2025-12-04T10:00:37.6173502Z ##[endgroup]
2025-12-04T10:00:38.0728975Z Prepare all required actions
2025-12-04T10:00:38.0729349Z Getting action download info
2025-12-04T10:00:38.2238390Z Download action repository 'actions/setup-python@v6' (SHA:83679a892e2d95755f2dac6acb0bfd1e9ac5d548)
2025-12-04T10:00:38.9694370Z ##[group]Run ./.github/actions/upload-utilization-stats
2025-12-04T10:00:38.9694707Z with:
2025-12-04T10:00:38.9694889Z   job_id: 57118472355
2025-12-04T10:00:38.9695318Z   job_name: inductor-test / test (inductor, 1, 2, linux.g5.4xlarge.nvidia.gpu, rerun_disabled_tests)
2025-12-04T10:00:38.9695808Z   workflow_name: inductor-unittest
2025-12-04T10:00:38.9696075Z   workflow_run_id: 19922777333
2025-12-04T10:00:38.9696326Z   workflow_attempt: 1
2025-12-04T10:00:38.9696536Z env:
2025-12-04T10:00:38.9696724Z   GIT_DEFAULT_BRANCH: main
2025-12-04T10:00:38.9696960Z   HAS_NVIDIA_GPU: true
2025-12-04T10:00:38.9697264Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-12-04T10:00:38.9697793Z   DOCKER_CONTAINER_ID: 41acfaf588920518f3cf2357a25538f09c929edfbb46691277c336603808fef6
2025-12-04T10:00:38.9698239Z   DEVICE_NAME: 
2025-12-04T10:00:38.9698434Z   DEVICE_TYPE: 
2025-12-04T10:00:38.9698636Z ##[endgroup]
2025-12-04T10:00:38.9734167Z ##[group]Run actions/setup-python@v6
2025-12-04T10:00:38.9734427Z with:
2025-12-04T10:00:38.9734637Z   python-version: 3.10
2025-12-04T10:00:38.9734873Z   check-latest: false
2025-12-04T10:00:38.9735177Z   token: ***
2025-12-04T10:00:38.9735395Z   update-environment: true
2025-12-04T10:00:38.9735652Z   allow-prereleases: false
2025-12-04T10:00:38.9735892Z   freethreaded: false
2025-12-04T10:00:38.9736107Z env:
2025-12-04T10:00:38.9736297Z   GIT_DEFAULT_BRANCH: main
2025-12-04T10:00:38.9736539Z   HAS_NVIDIA_GPU: true
2025-12-04T10:00:38.9736823Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-12-04T10:00:38.9737330Z   DOCKER_CONTAINER_ID: 41acfaf588920518f3cf2357a25538f09c929edfbb46691277c336603808fef6
2025-12-04T10:00:38.9737769Z   DEVICE_NAME: 
2025-12-04T10:00:38.9737962Z   DEVICE_TYPE: 
2025-12-04T10:00:38.9738159Z ##[endgroup]
2025-12-04T10:00:39.3822718Z ##[group]Installed versions
2025-12-04T10:00:39.3831476Z Version 3.10 was not found in the local cache
2025-12-04T10:00:39.4113051Z (node:81498) [DEP0040] DeprecationWarning: The `punycode` module is deprecated. Please use a userland alternative instead.
2025-12-04T10:00:39.4113766Z (Use `node --trace-deprecation ...` to show where the warning was created)
2025-12-04T10:00:39.7408160Z ##[error]The version '3.10' with architecture 'x64' was not found for this operating system.
The list of all available versions can be found here: https://raw.githubusercontent.com/actions/python-versions/main/versions-manifest.json
2025-12-04T10:00:39.7657296Z ##[group]Run pytorch/test-infra/.github/actions/teardown-linux@main
2025-12-04T10:00:39.7657687Z with:
2025-12-04T10:00:39.7657862Z env:
2025-12-04T10:00:39.7658161Z   GIT_DEFAULT_BRANCH: main
2025-12-04T10:00:39.7658402Z   HAS_NVIDIA_GPU: true
2025-12-04T10:00:39.7658693Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-12-04T10:00:39.7659198Z   DOCKER_CONTAINER_ID: 41acfaf588920518f3cf2357a25538f09c929edfbb46691277c336603808fef6
2025-12-04T10:00:39.7659639Z   DEVICE_NAME: 
2025-12-04T10:00:39.7659837Z   DEVICE_TYPE: 
2025-12-04T10:00:39.7660032Z ##[endgroup]
2025-12-04T10:00:39.7675753Z ##[group]Run set -eou pipefail
2025-12-04T10:00:39.7676029Z set -eou pipefail
2025-12-04T10:00:39.7676263Z 
2025-12-04T10:00:39.7676589Z echo "Holding runner for 2 hours until all ssh sessions have logged out"
2025-12-04T10:00:39.7677000Z for _ in $(seq 1440); do
2025-12-04T10:00:39.7677325Z     # Break if no ssh session exists anymore
2025-12-04T10:00:39.7677628Z     if [ "$(who)" = "" ]; then
2025-12-04T10:00:39.7677896Z       break
2025-12-04T10:00:39.7678106Z     fi
2025-12-04T10:00:39.7678314Z     echo "."
2025-12-04T10:00:39.7678526Z     sleep 5
2025-12-04T10:00:39.7678745Z done
2025-12-04T10:00:39.7688393Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T10:00:39.7688714Z env:
2025-12-04T10:00:39.7688906Z   GIT_DEFAULT_BRANCH: main
2025-12-04T10:00:39.7689143Z   HAS_NVIDIA_GPU: true
2025-12-04T10:00:39.7689421Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-12-04T10:00:39.7689921Z   DOCKER_CONTAINER_ID: 41acfaf588920518f3cf2357a25538f09c929edfbb46691277c336603808fef6
2025-12-04T10:00:39.7690353Z   DEVICE_NAME: 
2025-12-04T10:00:39.7690545Z   DEVICE_TYPE: 
2025-12-04T10:00:39.7690739Z ##[endgroup]
2025-12-04T10:00:39.7722552Z Holding runner for 2 hours until all ssh sessions have logged out
2025-12-04T10:00:39.7810746Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty
2025-12-04T10:00:39.7811287Z # ignore expansion of "docker ps -q" since it could be empty
2025-12-04T10:00:39.7811675Z # shellcheck disable=SC2046
2025-12-04T10:00:39.7811977Z docker stop $(docker ps -q) || true
2025-12-04T10:00:39.7812284Z # Prune all of the docker images
2025-12-04T10:00:39.7812570Z docker system prune -af
2025-12-04T10:00:39.7821504Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T10:00:39.7821839Z env:
2025-12-04T10:00:39.7822026Z   GIT_DEFAULT_BRANCH: main
2025-12-04T10:00:39.7822281Z   HAS_NVIDIA_GPU: true
2025-12-04T10:00:39.7822561Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-12-04T10:00:39.7823053Z   DOCKER_CONTAINER_ID: 41acfaf588920518f3cf2357a25538f09c929edfbb46691277c336603808fef6
2025-12-04T10:00:39.7823491Z   DEVICE_NAME: 
2025-12-04T10:00:39.7823688Z   DEVICE_TYPE: 
2025-12-04T10:00:39.7823876Z ##[endgroup]
2025-12-04T10:00:58.1418305Z 41acfaf58892
2025-12-04T10:00:59.4484979Z Deleted Containers:
2025-12-04T10:00:59.4485375Z 41acfaf588920518f3cf2357a25538f09c929edfbb46691277c336603808fef6
2025-12-04T10:00:59.4485692Z 
2025-12-04T10:01:20.7686622Z Deleted Images:
2025-12-04T10:01:20.7687696Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.8-cudnn9-py3-gcc11-inductor-benchmarks-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T10:01:20.7689250Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image@sha256:37b24890df16bde4a06d28a880f0b62c24329ba858b79dc7b8e2c07335323f49
2025-12-04T10:01:20.7690339Z deleted: sha256:39930cc969a87a23f607fdfa3195a1ce8c05072cf34aaed063a993bffda9c7cd
2025-12-04T10:01:20.7691171Z deleted: sha256:1e5378f163774a2e4a0b33c55e7c34021b78a00b573b3c4771d7645b911a9df2
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2025-12-04T10:01:20.7750248Z Total reclaimed space: 68.15GB
2025-12-04T10:01:20.7828004Z Post job cleanup.
2025-12-04T10:01:20.7872829Z Post job cleanup.
2025-12-04T10:01:20.9229245Z (node:81604) [DEP0040] DeprecationWarning: The `punycode` module is deprecated. Please use a userland alternative instead.
2025-12-04T10:01:20.9230054Z (Use `node --trace-deprecation ...` to show where the warning was created)
2025-12-04T10:01:20.9427205Z Post job cleanup.
2025-12-04T10:01:20.9470500Z Post job cleanup.
2025-12-04T10:01:21.0518207Z [command]/usr/bin/git version
2025-12-04T10:01:21.0566445Z git version 2.50.1
2025-12-04T10:01:21.0609201Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/addeab65-4cdb-4b8f-a8ec-970a905e733a/.gitconfig'
2025-12-04T10:01:21.0621196Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/addeab65-4cdb-4b8f-a8ec-970a905e733a' before making global git config changes
2025-12-04T10:01:21.0622586Z Adding repository directory to the temporary git global config as a safe directory
2025-12-04T10:01:21.0628436Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-12-04T10:01:21.0679235Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
2025-12-04T10:01:21.0729868Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'core\.sshCommand' && git config --local --unset-all 'core.sshCommand' || :"
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2025-12-04T10:01:23.0889974Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/googletest/config	remote.origin.url
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2025-12-04T10:01:23.1190893Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/prometheus-cpp/config	remote.origin.url
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2025-12-04T10:01:23.1629015Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/protobuf/modules/third_party/googletest/config	remote.origin.url
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2025-12-04T10:01:23.1693841Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/psimd/config	remote.origin.url
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2025-12-04T10:01:23.1754645Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/pthreadpool/config	remote.origin.url
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2025-12-04T10:01:23.2052457Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/googletest/config	remote.origin.url
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2025-12-04T10:01:23.2112180Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/libnop/config	remote.origin.url
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2025-12-04T10:01:23.2168598Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/libuv/config	remote.origin.url
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