2025-12-04T08:53:38.7080813Z Current runner version: '2.329.0'
2025-12-04T08:53:38.7083703Z Runner name: 'linux.rocm.gpu.gfx942.1.b-gwk9b-runner-qzcsp'
2025-12-04T08:53:38.7084144Z Runner group name: 'default'
2025-12-04T08:53:38.7084538Z Machine name: 'linux'
2025-12-04T08:53:38.7085664Z ##[group]GITHUB_TOKEN Permissions
2025-12-04T08:53:38.7086722Z Contents: read
2025-12-04T08:53:38.7087017Z Metadata: read
2025-12-04T08:53:38.7087262Z ##[endgroup]
2025-12-04T08:53:38.7088344Z Secret source: Actions
2025-12-04T08:53:38.7088683Z Prepare workflow directory
2025-12-04T08:53:38.7324483Z Prepare all required actions
2025-12-04T08:53:38.7343941Z Getting action download info
2025-12-04T08:53:39.2995738Z Download action repository 'pytorch/pytorch@main' (SHA:ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32)
2025-12-04T08:53:51.6203720Z Download action repository 'pytorch/test-infra@main' (SHA:39aa74d619174326f4e2fb0e216151c2f29d9ffd)
2025-12-04T08:53:58.9494002Z Download action repository 'actions/upload-artifact@ea165f8d65b6e75b540449e92b4886f43607fa02' (SHA:ea165f8d65b6e75b540449e92b4886f43607fa02)
2025-12-04T08:53:59.8431017Z Download action repository 'aws-actions/configure-aws-credentials@ececac1a45f3b08a01d2dd070d28d111c5fe6722' (SHA:ececac1a45f3b08a01d2dd070d28d111c5fe6722)
2025-12-04T08:54:00.7614561Z Getting action download info
2025-12-04T08:54:00.9597679Z Download action repository 'actions/checkout@v4' (SHA:34e114876b0b11c390a56381ad16ebd13914f8d5)
2025-12-04T08:54:01.7830473Z Getting action download info
2025-12-04T08:54:01.9712574Z Download action repository 'nick-fields/retry@v3.0.0' (SHA:7152eba30c6575329ac0576536151aca5a72780e)
2025-12-04T08:54:02.8091581Z Getting action download info
2025-12-04T08:54:03.0399987Z Uses: pytorch/pytorch/.github/workflows/_rocm-test.yml@refs/heads/main (ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32)
2025-12-04T08:54:03.0406250Z ##[group] Inputs
2025-12-04T08:54:03.0406715Z   build-environment: linux-jammy-rocm-py3.10
2025-12-04T08:54:03.0422672Z   test-matrix: {"include": [{"config": "default", "shard": 1, "num_shards": 6, "runner": "linux.rocm.gpu.gfx942.1.b", "mem_leak_check": "mem_leak_check", "unstable": "unstable"}, {"config": "default", "shard": 1, "num_shards": 6, "runner": "linux.rocm.gpu.gfx942.1.b", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable"}, {"config": "default", "shard": 2, "num_shards": 6, "runner": "linux.rocm.gpu.gfx942.1.b", "mem_leak_check": "mem_leak_check", "unstable": "unstable"}, {"config": "default", "shard": 2, "num_shards": 6, "runner": "linux.rocm.gpu.gfx942.1.b", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable"}, {"config": "default", "shard": 3, "num_shards": 6, "runner": "linux.rocm.gpu.gfx942.1.b", "mem_leak_check": "mem_leak_check", "unstable": "unstable"}, {"config": "default", "shard": 3, "num_shards": 6, "runner": "linux.rocm.gpu.gfx942.1.b", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable"}, {"config": "default", "shard": 4, "num_shards": 6, "runner": "linux.rocm.gpu.gfx942.1.b", "mem_leak_check": "mem_leak_check", "unstable": "unstable"}, {"config": "default", "shard": 4, "num_shards": 6, "runner": "linux.rocm.gpu.gfx942.1.b", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable"}, {"config": "default", "shard": 5, "num_shards": 6, "runner": "linux.rocm.gpu.gfx942.1.b", "mem_leak_check": "mem_leak_check", "unstable": "unstable"}, {"config": "default", "shard": 5, "num_shards": 6, "runner": "linux.rocm.gpu.gfx942.1.b", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable"}, {"config": "default", "shard": 6, "num_shards": 6, "runner": "linux.rocm.gpu.gfx942.1.b", "mem_leak_check": "mem_leak_check", "unstable": "unstable"}, {"config": "default", "shard": 6, "num_shards": 6, "runner": "linux.rocm.gpu.gfx942.1.b", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable"}, {"config": "distributed", "shard": 1, "num_shards": 3, "runner": "linux.rocm.gpu.gfx942.4.b", "mem_leak_check": "mem_leak_check", "unstable": "unstable"}, {"config": "distributed", "shard": 1, "num_shards": 3, "runner": "linux.rocm.gpu.gfx942.4.b", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable"}, {"config": "distributed", "shard": 2, "num_shards": 3, "runner": "linux.rocm.gpu.gfx942.4.b", "mem_leak_check": "mem_leak_check", "unstable": "unstable"}, {"config": "distributed", "shard": 2, "num_shards": 3, "runner": "linux.rocm.gpu.gfx942.4.b", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable"}, {"config": "distributed", "shard": 3, "num_shards": 3, "runner": "linux.rocm.gpu.gfx942.4.b", "mem_leak_check": "mem_leak_check", "unstable": "unstable"}, {"config": "distributed", "shard": 3, "num_shards": 3, "runner": "linux.rocm.gpu.gfx942.4.b", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable"}]}
2025-12-04T08:54:03.0439336Z   docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-rocm-n-py3-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T08:54:03.0440607Z   sync-tag: 
2025-12-04T08:54:03.0441842Z   timeout-minutes: 300
2025-12-04T08:54:03.0442203Z   tests-to-include: 
2025-12-04T08:54:03.0442539Z   dashboard-tag: 
2025-12-04T08:54:03.0443186Z   disable-monitor: true
2025-12-04T08:54:03.0443585Z   monitor-log-interval: 5
2025-12-04T08:54:03.0444005Z   monitor-data-collect-interval: 1
2025-12-04T08:54:03.0444463Z ##[endgroup]
2025-12-04T08:54:03.0445240Z Complete job name: linux-jammy-rocm-py3.10 / test (default, 2, 6, linux.rocm.gpu.gfx942.1.b, rerun_disabled_tests, unstable)
2025-12-04T08:54:03.0815178Z ##[group]Run pytorch/pytorch/.github/actions/checkout-pytorch@main
2025-12-04T08:54:03.0815473Z with:
2025-12-04T08:54:03.0815570Z   no-sudo: true
2025-12-04T08:54:03.0815674Z   submodules: recursive
2025-12-04T08:54:03.0815778Z   fetch-depth: 0
2025-12-04T08:54:03.0815928Z env:
2025-12-04T08:54:03.0816034Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:54:03.0816173Z ##[endgroup]
2025-12-04T08:54:03.0876856Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-12-04T08:54:03.0877337Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-12-04T08:54:03.0884697Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T08:54:03.0884886Z env:
2025-12-04T08:54:03.0884983Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:54:03.0885103Z ##[endgroup]
2025-12-04T08:54:03.1186943Z ##[group]Run actions/checkout@v4
2025-12-04T08:54:03.1187403Z with:
2025-12-04T08:54:03.1187770Z   ref: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T08:54:03.1188377Z   fetch-depth: 0
2025-12-04T08:54:03.1188690Z   submodules: recursive
2025-12-04T08:54:03.1189032Z   show-progress: false
2025-12-04T08:54:03.1189375Z   repository: pytorch/pytorch
2025-12-04T08:54:03.1189966Z   token: ***
2025-12-04T08:54:03.1190254Z   ssh-strict: true
2025-12-04T08:54:03.1190541Z   ssh-user: git
2025-12-04T08:54:03.1190850Z   persist-credentials: true
2025-12-04T08:54:03.1191222Z   clean: true
2025-12-04T08:54:03.1191538Z   sparse-checkout-cone-mode: true
2025-12-04T08:54:03.1191945Z   fetch-tags: false
2025-12-04T08:54:03.1192233Z   lfs: false
2025-12-04T08:54:03.1192527Z   set-safe-directory: true
2025-12-04T08:54:03.1192866Z env:
2025-12-04T08:54:03.1193134Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:54:03.1193485Z ##[endgroup]
2025-12-04T08:54:03.1873928Z Syncing repository: pytorch/pytorch
2025-12-04T08:54:03.1875838Z ##[group]Getting Git version info
2025-12-04T08:54:03.1876416Z Working directory is '/home/runner/_work/pytorch/pytorch'
2025-12-04T08:54:03.1877212Z [command]/usr/bin/git version
2025-12-04T08:54:03.1877658Z git version 2.52.0
2025-12-04T08:54:03.1878953Z ##[endgroup]
2025-12-04T08:54:03.1884257Z Copying '/home/runner/.gitconfig' to '/home/runner/_work/_temp/58981f9c-0254-4b93-92d7-635f31a24934/.gitconfig'
2025-12-04T08:54:03.1885741Z Temporarily overriding HOME='/home/runner/_work/_temp/58981f9c-0254-4b93-92d7-635f31a24934' before making global git config changes
2025-12-04T08:54:03.1887390Z Adding repository directory to the temporary git global config as a safe directory
2025-12-04T08:54:03.1888514Z [command]/usr/bin/git config --global --add safe.directory /home/runner/_work/pytorch/pytorch
2025-12-04T08:54:03.1889853Z [command]/usr/bin/git config --local --get remote.origin.url
2025-12-04T08:54:03.1890458Z https://github.com/pytorch/pytorch
2025-12-04T08:54:03.1891681Z ##[group]Removing previously created refs, to avoid conflicts
2025-12-04T08:54:03.1892478Z [command]/usr/bin/git rev-parse --symbolic-full-name --verify --quiet HEAD
2025-12-04T08:54:03.1915570Z refs/heads/main
2025-12-04T08:54:03.1926368Z [command]/usr/bin/git checkout --detach
2025-12-04T08:54:05.0545087Z HEAD is now at ffd9b0fb4355 Resolve collective autotuning test failure on arm (#168919)
2025-12-04T08:54:05.0605092Z [command]/usr/bin/git branch --delete --force main
2025-12-04T08:54:05.0730916Z Deleted branch main (was ffd9b0fb4355).
2025-12-04T08:54:05.0739176Z ##[endgroup]
2025-12-04T08:54:05.0747000Z [command]/usr/bin/git submodule status
2025-12-04T08:54:05.1072976Z  7e1e1fe3858c63c251c637ae41a20de425dde96f android/libs/fbjni (v0.1.0-12-g7e1e1fe)
2025-12-04T08:54:05.1141748Z  4dfe081cf6bcd15db339cf2680b9281b8451eeb3 third_party/FP16 (4dfe081)
2025-12-04T08:54:05.1203332Z  b408327ac2a15ec3e43352421954f5b1967701d1 third_party/FXdiv (b408327)
2025-12-04T08:54:05.1292392Z  c07e3a0400713d546e0dea2d5466dd22ea389c73 third_party/NNPACK (c07e3a0)
2025-12-04T08:54:05.1325130Z  3ebbc93ded7285963bff932c678fa367eb393ba6 third_party/NVTX (v3.1.0-313-g3ebbc93)
2025-12-04T08:54:05.1376806Z  1d8f600fd424278486eade7ed3e877c99f0846b1 third_party/VulkanMemoryAllocator (v2.1.0-982-g1d8f600)
2025-12-04T08:54:05.1700883Z  51a0103656eff6fc9bfd39a4597923c4b542c883 third_party/XNNPACK (remotes/origin/ds/ndk-1243-g51a0103656)
2025-12-04T08:54:05.1747588Z  01aae101b9e5e94d6c16a9514c9fb8df99c93150 third_party/aiter (v0.1.1-92-g01aae101)
2025-12-04T08:54:05.1793049Z  299e5928955cc62af9968370293b916f5130916f third_party/benchmark (v1.9.3)
2025-12-04T08:54:05.1854355Z  7fe50dc3da2069d6645d9deb8c017a876472a977 third_party/composable_kernel (rocm-6.4.3-459-g7fe50dc3d)
2025-12-04T08:54:05.1968533Z  89c932f313c6437c38f2982869beacc89c2f2246 third_party/cpp-httplib (v0.26.0)
2025-12-04T08:54:05.2085504Z  f858c30bcb16f8effd5ff46996f0514539e17abc third_party/cpuinfo (f858c30)
2025-12-04T08:54:05.2121157Z  0b1577c8c83401237d601d0d0db5210506705396 third_party/cudnn_frontend (v0.5-61-g0b1577c)
2025-12-04T08:54:05.2230654Z  f88806b1e31dfa579842638740216dd41fc6c588 third_party/cutlass (v4.3.1)
2025-12-04T08:54:05.2261956Z  c0b988d39a9e47c794d699f29930ed4d7c7e13a4 third_party/fbgemm (v1.4.0-rc1-2-gc0b988d39)
2025-12-04T08:54:05.2330076Z  979702c87a8713a8e0a5e9fee122b90d2ef13be5 third_party/flash-attention (v2.7.4)
2025-12-04T08:54:05.2370324Z  a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757 third_party/flatbuffers (v24.12.23)
2025-12-04T08:54:05.2646376Z  407c905e45ad75fc29bf0f9bb7c5c2fd3475976f third_party/fmt (12.1.0)
2025-12-04T08:54:05.2753773Z  3fb5c176c17c765a3492cd2f0321b0dab712f350 third_party/gemmlowp/gemmlowp (remotes/origin/revert-87-master-135-g3fb5c17)
2025-12-04T08:54:05.2865046Z  54cbae0d3a67fa890b4c3d9ee162b7860315e341 third_party/gloo (remotes/origin/gh/c-p-i-o/1/base-37-g54cbae0)
2025-12-04T08:54:05.3025406Z  52eb8108c5bdec04579160ae17225d66034bd723 third_party/googletest (release-1.8.0-3544-g52eb8108)
2025-12-04T08:54:05.3102906Z  719d8e6cd7f7a0e01b155657526d693acf97c2b3 third_party/ideep (pytorch-rls-v3.7.1)
2025-12-04T08:54:05.3179079Z  dec1d23ca65ab069d225dfe40dea14f455170959 third_party/ittapi (v3.25.5)
2025-12-04T08:54:05.3334506Z  31f85df8fbd89c188f14ef10f1ec65379786b943 third_party/kineto (heads/main)
2025-12-04T08:54:05.3374699Z  d7770c89632329a9914ef1a90289917597639cbe third_party/kleidiai (v1.15.0)
2025-12-04T08:54:05.3414981Z  fbd8b99c2b828428947d70fdc046bb55609be93e third_party/mimalloc (v2.2.4)
2025-12-04T08:54:05.3447115Z  55f93686c01528224f448c19128836e7df245f72 third_party/nlohmann (v3.12.0)
2025-12-04T08:54:05.3670729Z  e709452ef2bbc1d113faf678c24e6d3467696e83 third_party/onnx (v1.18.0)
2025-12-04T08:54:05.3696044Z  a799f4aed9c94b765dcdaabaeab7d5e7e2310878 third_party/opentelemetry-cpp (v1.14.2)
2025-12-04T08:54:05.3713919Z  0fa0ef591e38c2758e3184c6c23e497b9f732ffa third_party/pocketfft (release_for_eigen-40-g0fa0ef5)
2025-12-04T08:54:05.3954007Z  d1eca4e4b421cd2997495c4b4e65cea6be4e9b8a third_party/protobuf (v3.7.0-rc.2-1279-gd1eca4e4b)
2025-12-04T08:54:05.4046446Z  072586a71b55b7f8c584153d223e95687148a900 third_party/psimd (heads/master)
2025-12-04T08:54:05.4100404Z  4fe0e1e183925bf8cfa6aae24237e724a96479b8 third_party/pthreadpool (0.1-144-g4fe0e1e)
2025-12-04T08:54:05.4136397Z  f5fbe867d2d26e4a0a9177a51f6e568868ad3dc8 third_party/pybind11 (v3.0.1)
2025-12-04T08:54:05.4243750Z  f45429b087dd7d5bc78bb40dc7cf06425c252d67 third_party/python-peachpy (remotes/origin/pre-generated)
2025-12-04T08:54:05.4324166Z  5a1d179df9cf652951b59010a2d2075372d67f68 third_party/sleef (3.8)
2025-12-04T08:54:05.4396842Z  2b4cd91092d335a697416b2a3cb398283246849d third_party/tensorpipe (heads/main)
2025-12-04T08:54:05.4413457Z ##[group]Cleaning the repository
2025-12-04T08:54:05.4421123Z [command]/usr/bin/git clean -ffdx
2025-12-04T08:54:05.4579277Z [command]/usr/bin/git reset --hard HEAD
2025-12-04T08:54:05.5539738Z HEAD is now at ffd9b0fb4355 Resolve collective autotuning test failure on arm (#168919)
2025-12-04T08:54:05.5593685Z ##[endgroup]
2025-12-04T08:54:05.5598346Z ##[group]Disabling automatic garbage collection
2025-12-04T08:54:05.5604719Z [command]/usr/bin/git config --local gc.auto 0
2025-12-04T08:54:05.5665642Z ##[endgroup]
2025-12-04T08:54:05.5666136Z ##[group]Setting up auth
2025-12-04T08:54:05.5676492Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
2025-12-04T08:54:05.5710981Z [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' || :"
2025-12-04T08:54:05.5950556Z Entering 'android/libs/fbjni'
2025-12-04T08:54:05.5992114Z Entering 'third_party/FP16'
2025-12-04T08:54:05.6032177Z Entering 'third_party/FXdiv'
2025-12-04T08:54:05.6076051Z Entering 'third_party/NNPACK'
2025-12-04T08:54:05.6112417Z Entering 'third_party/NVTX'
2025-12-04T08:54:05.6150362Z Entering 'third_party/VulkanMemoryAllocator'
2025-12-04T08:54:05.6180509Z Entering 'third_party/XNNPACK'
2025-12-04T08:54:05.6213468Z Entering 'third_party/aiter'
2025-12-04T08:54:05.6242328Z Entering 'third_party/aiter/3rdparty/composable_kernel'
2025-12-04T08:54:05.6298519Z Entering 'third_party/benchmark'
2025-12-04T08:54:05.6334627Z Entering 'third_party/composable_kernel'
2025-12-04T08:54:05.6387534Z Entering 'third_party/cpp-httplib'
2025-12-04T08:54:05.6426377Z Entering 'third_party/cpuinfo'
2025-12-04T08:54:05.6461244Z Entering 'third_party/cudnn_frontend'
2025-12-04T08:54:05.6493597Z Entering 'third_party/cutlass'
2025-12-04T08:54:05.6539905Z Entering 'third_party/fbgemm'
2025-12-04T08:54:05.6588393Z Entering 'third_party/fbgemm/external/asmjit'
2025-12-04T08:54:05.6614368Z Entering 'third_party/fbgemm/external/composable_kernel'
2025-12-04T08:54:05.6644885Z Entering 'third_party/fbgemm/external/cpuinfo'
2025-12-04T08:54:05.6687390Z Entering 'third_party/fbgemm/external/cutlass'
2025-12-04T08:54:05.6716401Z Entering 'third_party/fbgemm/external/googletest'
2025-12-04T08:54:05.6743015Z Entering 'third_party/fbgemm/external/hipify_torch'
2025-12-04T08:54:05.6768355Z Entering 'third_party/fbgemm/external/json'
2025-12-04T08:54:05.6800091Z Entering 'third_party/flash-attention'
2025-12-04T08:54:05.6835773Z Entering 'third_party/flash-attention/csrc/composable_kernel'
2025-12-04T08:54:05.6870558Z Entering 'third_party/flash-attention/csrc/cutlass'
2025-12-04T08:54:05.6906702Z Entering 'third_party/flatbuffers'
2025-12-04T08:54:05.6945485Z Entering 'third_party/fmt'
2025-12-04T08:54:05.6977470Z Entering 'third_party/gemmlowp/gemmlowp'
2025-12-04T08:54:05.7011134Z Entering 'third_party/gloo'
2025-12-04T08:54:05.7039524Z Entering 'third_party/googletest'
2025-12-04T08:54:05.7066843Z Entering 'third_party/ideep'
2025-12-04T08:54:05.7095543Z Entering 'third_party/ideep/mkl-dnn'
2025-12-04T08:54:05.7120852Z Entering 'third_party/ittapi'
2025-12-04T08:54:05.7147914Z Entering 'third_party/kineto'
2025-12-04T08:54:05.7184035Z Entering 'third_party/kineto/libkineto/third_party/dynolog'
2025-12-04T08:54:05.7212356Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-12-04T08:54:05.7257580Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
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2025-12-04T08:54:05.8756705Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
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2025-12-04T08:54:06.1709312Z [command]/usr/bin/git config --local --name-only --get-regexp ^includeIf\.gitdir:
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2025-12-04T08:54:06.2002283Z Entering 'android/libs/fbjni'
2025-12-04T08:54:06.2030039Z file:/home/runner/_work/pytorch/pytorch/.git/modules/android/libs/fbjni/config	remote.origin.url
2025-12-04T08:54:06.2040335Z Entering 'third_party/FP16'
2025-12-04T08:54:06.2056304Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FP16/config	remote.origin.url
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2025-12-04T08:54:06.2088444Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FXdiv/config	remote.origin.url
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2025-12-04T08:54:06.2310841Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/benchmark/config	remote.origin.url
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2025-12-04T08:54:06.2332415Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/composable_kernel/config	remote.origin.url
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2025-12-04T08:54:06.2357707Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/cpp-httplib/config	remote.origin.url
2025-12-04T08:54:06.2366531Z Entering 'third_party/cpuinfo'
2025-12-04T08:54:06.2396297Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/cpuinfo/config	remote.origin.url
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2025-12-04T08:54:06.2434271Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/cudnn_frontend/config	remote.origin.url
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2025-12-04T08:54:06.2473109Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/cutlass/config	remote.origin.url
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2025-12-04T08:54:06.2515208Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/config	remote.origin.url
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2025-12-04T08:54:06.2562396Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/asmjit/config	remote.origin.url
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2025-12-04T08:54:06.2633019Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/cpuinfo/config	remote.origin.url
2025-12-04T08:54:06.2642721Z Entering 'third_party/fbgemm/external/cutlass'
2025-12-04T08:54:06.2664969Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/cutlass/config	remote.origin.url
2025-12-04T08:54:06.2680473Z Entering 'third_party/fbgemm/external/googletest'
2025-12-04T08:54:06.2699558Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/googletest/config	remote.origin.url
2025-12-04T08:54:06.2721681Z Entering 'third_party/fbgemm/external/hipify_torch'
2025-12-04T08:54:06.2731800Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/hipify_torch/config	remote.origin.url
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2025-12-04T08:54:06.2756136Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/json/config	remote.origin.url
2025-12-04T08:54:06.2766950Z Entering 'third_party/flash-attention'
2025-12-04T08:54:06.2778925Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/flash-attention/config	remote.origin.url
2025-12-04T08:54:06.2789190Z Entering 'third_party/flash-attention/csrc/composable_kernel'
2025-12-04T08:54:06.2806010Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/flash-attention/modules/csrc/composable_kernel/config	remote.origin.url
2025-12-04T08:54:06.2816624Z Entering 'third_party/flash-attention/csrc/cutlass'
2025-12-04T08:54:06.2827217Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/flash-attention/modules/csrc/cutlass/config	remote.origin.url
2025-12-04T08:54:06.2840869Z Entering 'third_party/flatbuffers'
2025-12-04T08:54:06.2852951Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/flatbuffers/config	remote.origin.url
2025-12-04T08:54:06.2863201Z Entering 'third_party/fmt'
2025-12-04T08:54:06.2875243Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/fmt/config	remote.origin.url
2025-12-04T08:54:06.2884244Z Entering 'third_party/gemmlowp/gemmlowp'
2025-12-04T08:54:06.2895611Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/gemmlowp/gemmlowp/config	remote.origin.url
2025-12-04T08:54:06.2904604Z Entering 'third_party/gloo'
2025-12-04T08:54:06.2915889Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/gloo/config	remote.origin.url
2025-12-04T08:54:06.2935874Z Entering 'third_party/googletest'
2025-12-04T08:54:06.2949673Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/googletest/config	remote.origin.url
2025-12-04T08:54:06.2959228Z Entering 'third_party/ideep'
2025-12-04T08:54:06.2983720Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/ideep/config	remote.origin.url
2025-12-04T08:54:06.2992918Z Entering 'third_party/ideep/mkl-dnn'
2025-12-04T08:54:06.3013301Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/ideep/modules/mkl-dnn/config	remote.origin.url
2025-12-04T08:54:06.3027453Z Entering 'third_party/ittapi'
2025-12-04T08:54:06.3040097Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/ittapi/config	remote.origin.url
2025-12-04T08:54:06.3058429Z Entering 'third_party/kineto'
2025-12-04T08:54:06.3069865Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/config	remote.origin.url
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2025-12-04T08:54:06.3874728Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/benchmark/config	remote.origin.url
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2025-12-04T08:54:06.4057769Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/opentracing-cpp/config	remote.origin.url
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2025-12-04T08:54:06.4235201Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/pocketfft/config	remote.origin.url
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2025-12-04T08:54:06.4279173Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/protobuf/config	remote.origin.url
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2025-12-04T08:54:06.4375028Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/psimd/config	remote.origin.url
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2025-12-04T08:54:06.4409673Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/pthreadpool/config	remote.origin.url
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2025-12-04T08:54:06.4436103Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/pybind11/config	remote.origin.url
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2025-12-04T08:54:06.4524974Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/sleef/config	remote.origin.url
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2025-12-04T08:54:06.4555378Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/config	remote.origin.url
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2025-12-04T08:54:06.4576090Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/googletest/config	remote.origin.url
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2025-12-04T08:54:06.4626894Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/libuv/config	remote.origin.url
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2025-12-04T08:54:06.4646729Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/pybind11/config	remote.origin.url
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2025-12-04T08:54:06.4666423Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/pybind11/modules/tools/clang/config	remote.origin.url
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2025-12-04T08:54:06.6320725Z [command]/usr/bin/git config --file /home/runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/libnop/config --name-only --get-regexp ^includeIf\.gitdir:
2025-12-04T08:54:06.6348805Z [command]/usr/bin/git config --file /home/runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/libuv/config --name-only --get-regexp ^includeIf\.gitdir:
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2025-12-04T08:54:06.6392603Z [command]/usr/bin/git config --file /home/runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/pybind11/modules/tools/clang/config --name-only --get-regexp ^includeIf\.gitdir:
2025-12-04T08:54:06.6410910Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic ***
2025-12-04T08:54:06.6450490Z ##[endgroup]
2025-12-04T08:54:06.6451037Z ##[group]Fetching the repository
2025-12-04T08:54:06.6463342Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/*
2025-12-04T08:54:07.3009016Z From https://github.com/pytorch/pytorch
2025-12-04T08:54:07.3009708Z  - [deleted]                   (none)                  -> ciflow/inductor/160174
2025-12-04T08:54:07.3010369Z  - [deleted]                   (none)                  -> ciflow/trunk/160174
2025-12-04T08:54:10.8332173Z  * [new branch]                2.6.0.dev20241004+      -> origin/2.6.0.dev20241004+
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2025-12-04T08:54:10.8334021Z  * [new branch]                AaronWang04_addmmfusion_perftest -> origin/AaronWang04_addmmfusion_perftest
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2025-12-04T08:54:10.8335852Z  * [new branch]                HDCharles-2.6.0-release-notes -> origin/HDCharles-2.6.0-release-notes
2025-12-04T08:54:10.8336689Z  * [new branch]                HOPrintFunc             -> origin/HOPrintFunc
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2025-12-04T08:54:10.8376440Z  * [new branch]                arsh/feat/inductor_check_profiling -> origin/arsh/feat/inductor_check_profiling
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2025-12-04T08:54:10.8378147Z  * [new branch]                atalman-inductor-perf-cu124 -> origin/atalman-inductor-perf-cu124
2025-12-04T08:54:10.8379121Z  * [new branch]                atalman-inductor-perf-cu124.1 -> origin/atalman-inductor-perf-cu124.1
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2025-12-04T08:54:11.2053293Z HEAD is now at ffd9b0fb4355 Resolve collective autotuning test failure on arm (#168919)
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2025-12-04T08:54:11.2704225Z Synchronizing submodule url for 'third_party/cpuinfo'
2025-12-04T08:54:11.2721913Z Synchronizing submodule url for 'third_party/cudnn_frontend'
2025-12-04T08:54:11.2734346Z Synchronizing submodule url for 'third_party/cutlass'
2025-12-04T08:54:11.2753982Z Synchronizing submodule url for 'third_party/fbgemm'
2025-12-04T08:54:11.2768696Z Synchronizing submodule url for 'third_party/fbgemm/external/asmjit'
2025-12-04T08:54:11.2790333Z Synchronizing submodule url for 'third_party/fbgemm/external/composable_kernel'
2025-12-04T08:54:11.2826774Z Synchronizing submodule url for 'third_party/fbgemm/external/cpuinfo'
2025-12-04T08:54:11.2843115Z Synchronizing submodule url for 'third_party/fbgemm/external/cutlass'
2025-12-04T08:54:11.2859645Z Synchronizing submodule url for 'third_party/fbgemm/external/googletest'
2025-12-04T08:54:11.2882953Z Synchronizing submodule url for 'third_party/fbgemm/external/hipify_torch'
2025-12-04T08:54:11.2905174Z Synchronizing submodule url for 'third_party/fbgemm/external/json'
2025-12-04T08:54:11.2923112Z Synchronizing submodule url for 'third_party/flash-attention'
2025-12-04T08:54:11.2939030Z Synchronizing submodule url for 'third_party/flash-attention/csrc/composable_kernel'
2025-12-04T08:54:11.2956613Z Synchronizing submodule url for 'third_party/flash-attention/csrc/cutlass'
2025-12-04T08:54:11.2989744Z Synchronizing submodule url for 'third_party/flatbuffers'
2025-12-04T08:54:11.3005404Z Synchronizing submodule url for 'third_party/fmt'
2025-12-04T08:54:11.3018489Z Synchronizing submodule url for 'third_party/gemmlowp/gemmlowp'
2025-12-04T08:54:11.3033225Z Synchronizing submodule url for 'third_party/gloo'
2025-12-04T08:54:11.3046538Z Synchronizing submodule url for 'third_party/googletest'
2025-12-04T08:54:11.3058509Z Synchronizing submodule url for 'third_party/ideep'
2025-12-04T08:54:11.3074097Z Synchronizing submodule url for 'third_party/ideep/mkl-dnn'
2025-12-04T08:54:11.3088855Z Synchronizing submodule url for 'third_party/ittapi'
2025-12-04T08:54:11.3112697Z Synchronizing submodule url for 'third_party/kineto'
2025-12-04T08:54:11.3126684Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog'
2025-12-04T08:54:11.3137588Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-12-04T08:54:11.3154395Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-12-04T08:54:11.3165826Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-12-04T08:54:11.3191209Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-12-04T08:54:11.3216668Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-12-04T08:54:11.3230011Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-12-04T08:54:11.3255928Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-12-04T08:54:11.3269977Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-12-04T08:54:11.3282573Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-12-04T08:54:11.3307703Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp'
2025-12-04T08:54:11.3321182Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb'
2025-12-04T08:54:11.3349239Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest'
2025-12-04T08:54:11.3371357Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/fmt'
2025-12-04T08:54:11.3394433Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/googletest'
2025-12-04T08:54:11.3425230Z Synchronizing submodule url for 'third_party/kleidiai'
2025-12-04T08:54:11.3446224Z Synchronizing submodule url for 'third_party/mimalloc'
2025-12-04T08:54:11.3471039Z Synchronizing submodule url for 'third_party/nlohmann'
2025-12-04T08:54:11.3498934Z Synchronizing submodule url for 'third_party/onnx'
2025-12-04T08:54:11.3519738Z Synchronizing submodule url for 'third_party/onnx/third_party/pybind11'
2025-12-04T08:54:11.3540882Z Synchronizing submodule url for 'third_party/opentelemetry-cpp'
2025-12-04T08:54:11.3573810Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-12-04T08:54:11.3597578Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/googletest'
2025-12-04T08:54:11.3620078Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-12-04T08:54:11.3642968Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-12-04T08:54:11.3664099Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-12-04T08:54:11.3675191Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-12-04T08:54:11.3698312Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-12-04T08:54:11.3711082Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-12-04T08:54:11.3723564Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-12-04T08:54:11.3748794Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-12-04T08:54:11.3798416Z Synchronizing submodule url for 'third_party/pocketfft'
2025-12-04T08:54:11.3824640Z Synchronizing submodule url for 'third_party/protobuf'
2025-12-04T08:54:11.3842019Z Synchronizing submodule url for 'third_party/protobuf/third_party/benchmark'
2025-12-04T08:54:11.3852159Z Synchronizing submodule url for 'third_party/protobuf/third_party/googletest'
2025-12-04T08:54:11.3884203Z Synchronizing submodule url for 'third_party/psimd'
2025-12-04T08:54:11.3903175Z Synchronizing submodule url for 'third_party/pthreadpool'
2025-12-04T08:54:11.3932755Z Synchronizing submodule url for 'third_party/pybind11'
2025-12-04T08:54:11.3961456Z Synchronizing submodule url for 'third_party/python-peachpy'
2025-12-04T08:54:11.3978544Z Synchronizing submodule url for 'third_party/sleef'
2025-12-04T08:54:11.4008851Z Synchronizing submodule url for 'third_party/tensorpipe'
2025-12-04T08:54:11.4024644Z Synchronizing submodule url for 'third_party/tensorpipe/third_party/googletest'
2025-12-04T08:54:11.4038387Z Synchronizing submodule url for 'third_party/tensorpipe/third_party/libnop'
2025-12-04T08:54:11.4059993Z Synchronizing submodule url for 'third_party/tensorpipe/third_party/libuv'
2025-12-04T08:54:11.4082949Z Synchronizing submodule url for 'third_party/tensorpipe/third_party/pybind11'
2025-12-04T08:54:11.4095899Z Synchronizing submodule url for 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-12-04T08:54:11.4134231Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive
2025-12-04T08:54:11.4531298Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f'
2025-12-04T08:54:11.4612311Z Submodule path 'third_party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3'
2025-12-04T08:54:11.4701575Z Submodule path 'third_party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1'
2025-12-04T08:54:11.4878666Z Submodule path 'third_party/NNPACK': checked out 'c07e3a0400713d546e0dea2d5466dd22ea389c73'
2025-12-04T08:54:11.4975312Z Submodule path 'third_party/NVTX': checked out '3ebbc93ded7285963bff932c678fa367eb393ba6'
2025-12-04T08:54:11.5082177Z Submodule path 'third_party/VulkanMemoryAllocator': checked out '1d8f600fd424278486eade7ed3e877c99f0846b1'
2025-12-04T08:54:12.0100653Z Submodule path 'third_party/XNNPACK': checked out '51a0103656eff6fc9bfd39a4597923c4b542c883'
2025-12-04T08:54:12.0316695Z Submodule path 'third_party/aiter': checked out '01aae101b9e5e94d6c16a9514c9fb8df99c93150'
2025-12-04T08:54:12.0542130Z Submodule path 'third_party/aiter/3rdparty/composable_kernel': checked out 'cffe8fa2a442ac8e80dd236a1a5d24fe3d7e0cbf'
2025-12-04T08:54:12.0689385Z Submodule path 'third_party/benchmark': checked out '299e5928955cc62af9968370293b916f5130916f'
2025-12-04T08:54:12.0916666Z Submodule path 'third_party/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977'
2025-12-04T08:54:12.1014703Z Submodule path 'third_party/cpp-httplib': checked out '89c932f313c6437c38f2982869beacc89c2f2246'
2025-12-04T08:54:12.1674756Z Submodule path 'third_party/cpuinfo': checked out 'f858c30bcb16f8effd5ff46996f0514539e17abc'
2025-12-04T08:54:12.1778266Z Submodule path 'third_party/cudnn_frontend': checked out '0b1577c8c83401237d601d0d0db5210506705396'
2025-12-04T08:54:12.1921076Z Submodule path 'third_party/cutlass': checked out 'f88806b1e31dfa579842638740216dd41fc6c588'
2025-12-04T08:54:12.2632046Z Submodule path 'third_party/fbgemm': checked out 'c0b988d39a9e47c794d699f29930ed4d7c7e13a4'
2025-12-04T08:54:12.2980177Z Submodule path 'third_party/fbgemm/external/asmjit': checked out 'a3199e8857792cd10b7589ff5d58343d2c9008ea'
2025-12-04T08:54:12.4847852Z Submodule path 'third_party/fbgemm/external/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977'
2025-12-04T08:54:12.5493239Z Submodule path 'third_party/fbgemm/external/cpuinfo': checked out '6543fec09b2f04ac4a666882998b534afc9c1349'
2025-12-04T08:54:13.0068767Z Submodule path 'third_party/fbgemm/external/cutlass': checked out '98125ce499b0fdf7ffbe0e3052f5b8709f4840f8'
2025-12-04T08:54:13.0301859Z Submodule path 'third_party/fbgemm/external/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723'
2025-12-04T08:54:13.0417996Z Submodule path 'third_party/fbgemm/external/hipify_torch': checked out '63b6a7b541fa7f08f8475ca7d74054db36ff2691'
2025-12-04T08:54:13.1047851Z Submodule path 'third_party/fbgemm/external/json': checked out '9cca280a4d0ccf0c08f47a99aa71d1b0e52f8d03'
2025-12-04T08:54:13.1167780Z Submodule path 'third_party/flash-attention': checked out '979702c87a8713a8e0a5e9fee122b90d2ef13be5'
2025-12-04T08:54:13.1382108Z Submodule path 'third_party/flash-attention/csrc/composable_kernel': checked out '888317e698e9803c62bd38568abc9e05d7709f33'
2025-12-04T08:54:13.1517561Z Submodule path 'third_party/flash-attention/csrc/cutlass': checked out 'c506e16788cb08416a4a57e11a9067beeee29420'
2025-12-04T08:54:13.1632341Z Submodule path 'third_party/flatbuffers': checked out 'a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757'
2025-12-04T08:54:13.1797239Z Submodule path 'third_party/fmt': checked out '407c905e45ad75fc29bf0f9bb7c5c2fd3475976f'
2025-12-04T08:54:13.2016551Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350'
2025-12-04T08:54:13.2167469Z Submodule path 'third_party/gloo': checked out '54cbae0d3a67fa890b4c3d9ee162b7860315e341'
2025-12-04T08:54:13.2371436Z Submodule path 'third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723'
2025-12-04T08:54:13.2469031Z Submodule path 'third_party/ideep': checked out '719d8e6cd7f7a0e01b155657526d693acf97c2b3'
2025-12-04T08:54:13.6642396Z Submodule path 'third_party/ideep/mkl-dnn': checked out '8d263e693366ef8db40acc569cc7d8edf644556d'
2025-12-04T08:54:13.6746112Z Submodule path 'third_party/ittapi': checked out 'dec1d23ca65ab069d225dfe40dea14f455170959'
2025-12-04T08:54:13.6853823Z Submodule path 'third_party/kineto': checked out '31f85df8fbd89c188f14ef10f1ec65379786b943'
2025-12-04T08:54:13.6948664Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out 'd2ffe0a4e3acace628db49974246b66fc3e85fb1'
2025-12-04T08:54:13.7046985Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9'
2025-12-04T08:54:13.7122658Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400'
2025-12-04T08:54:13.7222991Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05'
2025-12-04T08:54:13.7293737Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067'
2025-12-04T08:54:13.7348681Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc': checked out '8411df715cf522606e3b1aca386ddfc0b63d34b4'
2025-12-04T08:54:13.7409603Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog': checked out 'b33e3bad4c46c8a6345525fd822af355e5ef9446'
2025-12-04T08:54:13.7506417Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723'
2025-12-04T08:54:13.7626672Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json': checked out '4f8fba14066156b73f1189a2b8bd568bde5284c5'
2025-12-04T08:54:13.7686365Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs': checked out 'f68a2fa8ea36c783bdd760371411fcb495aa3150'
2025-12-04T08:54:13.7776128Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp': checked out 'b1234816facfdda29845c46696a02998a4af115a'
2025-12-04T08:54:13.7871267Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb': checked out 'd7ba35bbb649209c66e582d5a0244ba988a15159'
2025-12-04T08:54:13.7959300Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929'
2025-12-04T08:54:13.8034953Z Submodule path 'third_party/kineto/libkineto/third_party/fmt': checked out '40626af88bd7df9a5fb80be7b25ac85b122d6c21'
2025-12-04T08:54:13.8115743Z Submodule path 'third_party/kineto/libkineto/third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723'
2025-12-04T08:54:13.8236975Z Submodule path 'third_party/kleidiai': checked out 'd7770c89632329a9914ef1a90289917597639cbe'
2025-12-04T08:54:13.8345480Z Submodule path 'third_party/mimalloc': checked out 'fbd8b99c2b828428947d70fdc046bb55609be93e'
2025-12-04T08:54:13.8484993Z Submodule path 'third_party/nlohmann': checked out '55f93686c01528224f448c19128836e7df245f72'
2025-12-04T08:54:14.0323981Z Submodule path 'third_party/onnx': checked out 'e709452ef2bbc1d113faf678c24e6d3467696e83'
2025-12-04T08:54:14.0504537Z Submodule path 'third_party/onnx/third_party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4'
2025-12-04T08:54:14.0620452Z Submodule path 'third_party/opentelemetry-cpp': checked out 'a799f4aed9c94b765dcdaabaeab7d5e7e2310878'
2025-12-04T08:54:14.0742407Z Submodule path 'third_party/opentelemetry-cpp/third_party/benchmark': checked out 'd572f4777349d43653b21d6c2fc63020ab326db2'
2025-12-04T08:54:14.0825116Z Submodule path 'third_party/opentelemetry-cpp/third_party/googletest': checked out 'b796f7d44681514f58a683a3a71ff17c94edb0c1'
2025-12-04T08:54:14.0889667Z Submodule path 'third_party/opentelemetry-cpp/third_party/ms-gsl': checked out '6f4529395c5b7c2d661812257cd6780c67e54afa'
2025-12-04T08:54:14.0979544Z Submodule path 'third_party/opentelemetry-cpp/third_party/nlohmann-json': checked out 'bc889afb4c5bf1c0d8ee29ef35eaaf4c8bef8a5d'
2025-12-04T08:54:14.1056894Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto': checked out '4ca4f0335c63cda7ab31ea7ed70d6553aee14dce'
2025-12-04T08:54:14.1143847Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp': checked out '06b57f48ded1fa3bdd3d4346f6ef29e40e08eaf5'
2025-12-04T08:54:14.1228614Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp': checked out 'c9ffcdda9086ffd9e1283ea7a0276d831f3c8a8d'
2025-12-04T08:54:14.1316388Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb': checked out 'eefb26f82b233268fc98577d265352720d477ba4'
2025-12-04T08:54:14.1394515Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929'
2025-12-04T08:54:14.1547139Z Submodule path 'third_party/opentelemetry-cpp/tools/vcpkg': checked out '8eb57355a4ffb410a2e94c07b4dca2dffbee8e50'
2025-12-04T08:54:14.1619424Z Submodule path 'third_party/pocketfft': checked out '0fa0ef591e38c2758e3184c6c23e497b9f732ffa'
2025-12-04T08:54:14.2971049Z Submodule path 'third_party/protobuf': checked out 'd1eca4e4b421cd2997495c4b4e65cea6be4e9b8a'
2025-12-04T08:54:14.3052910Z Submodule path 'third_party/protobuf/third_party/benchmark': checked out '5b7683f49e1e9223cf9927b24f6fd3d6bd82e3f8'
2025-12-04T08:54:14.3260292Z Submodule path 'third_party/protobuf/third_party/googletest': checked out '5ec7f0c4a113e2f18ac2c6cc7df51ad6afc24081'
2025-12-04T08:54:14.3352487Z Submodule path 'third_party/psimd': checked out '072586a71b55b7f8c584153d223e95687148a900'
2025-12-04T08:54:14.3481691Z Submodule path 'third_party/pthreadpool': checked out '4fe0e1e183925bf8cfa6aae24237e724a96479b8'
2025-12-04T08:54:14.3709998Z Submodule path 'third_party/pybind11': checked out 'f5fbe867d2d26e4a0a9177a51f6e568868ad3dc8'
2025-12-04T08:54:14.3964043Z Submodule path 'third_party/python-peachpy': checked out 'f45429b087dd7d5bc78bb40dc7cf06425c252d67'
2025-12-04T08:54:14.4269055Z Submodule path 'third_party/sleef': checked out '5a1d179df9cf652951b59010a2d2075372d67f68'
2025-12-04T08:54:14.4403973Z Submodule path 'third_party/tensorpipe': checked out '2b4cd91092d335a697416b2a3cb398283246849d'
2025-12-04T08:54:14.4610725Z Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e'
2025-12-04T08:54:14.4700108Z Submodule path 'third_party/tensorpipe/third_party/libnop': checked out '910b55815be16109f04f4180e9adee14fb4ce281'
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2025-12-04T08:54:14.5235242Z [command]/usr/bin/git submodule foreach --recursive git config --local gc.auto 0
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2025-12-04T08:54:14.8137633Z ##[endgroup]
2025-12-04T08:54:14.8137852Z ##[group]Persisting credentials for submodules
2025-12-04T08:54:14.8150265Z [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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2025-12-04T08:54:14.9919172Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp'
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2025-12-04T08:54:15.0412970Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-12-04T08:54:15.0456389Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-12-04T08:54:15.0485729Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-12-04T08:54:15.0515327Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-12-04T08:54:15.0555928Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-12-04T08:54:15.0611269Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-12-04T08:54:15.0638605Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
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2025-12-04T08:54:15.0852085Z Entering 'third_party/psimd'
2025-12-04T08:54:15.0878904Z Entering 'third_party/pthreadpool'
2025-12-04T08:54:15.0906357Z Entering 'third_party/pybind11'
2025-12-04T08:54:15.0933058Z Entering 'third_party/python-peachpy'
2025-12-04T08:54:15.0962121Z Entering 'third_party/sleef'
2025-12-04T08:54:15.0999093Z Entering 'third_party/tensorpipe'
2025-12-04T08:54:15.1049173Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-12-04T08:54:15.1076196Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-12-04T08:54:15.1103225Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-12-04T08:54:15.1137206Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-12-04T08:54:15.1179715Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-12-04T08:54:15.1228558Z [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"
2025-12-04T08:54:15.1446674Z Entering 'android/libs/fbjni'
2025-12-04T08:54:15.1480425Z file:/home/runner/_work/pytorch/pytorch/.git/modules/android/libs/fbjni/config	remote.origin.url
2025-12-04T08:54:15.1504671Z Entering 'third_party/FP16'
2025-12-04T08:54:15.1538378Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FP16/config	remote.origin.url
2025-12-04T08:54:15.1552417Z Entering 'third_party/FXdiv'
2025-12-04T08:54:15.1587759Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FXdiv/config	remote.origin.url
2025-12-04T08:54:15.1610481Z Entering 'third_party/NNPACK'
2025-12-04T08:54:15.1649067Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK/config	remote.origin.url
2025-12-04T08:54:15.1662091Z Entering 'third_party/NVTX'
2025-12-04T08:54:15.1685808Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/NVTX/config	remote.origin.url
2025-12-04T08:54:15.1701894Z Entering 'third_party/VulkanMemoryAllocator'
2025-12-04T08:54:15.1730218Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/VulkanMemoryAllocator/config	remote.origin.url
2025-12-04T08:54:15.1742955Z Entering 'third_party/XNNPACK'
2025-12-04T08:54:15.1767679Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/XNNPACK/config	remote.origin.url
2025-12-04T08:54:15.1791136Z Entering 'third_party/aiter'
2025-12-04T08:54:15.1815503Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/aiter/config	remote.origin.url
2025-12-04T08:54:15.1828514Z Entering 'third_party/aiter/3rdparty/composable_kernel'
2025-12-04T08:54:15.1874454Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/aiter/modules/3rdparty/composable_kernel/config	remote.origin.url
2025-12-04T08:54:15.1891707Z Entering 'third_party/benchmark'
2025-12-04T08:54:15.1929324Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/benchmark/config	remote.origin.url
2025-12-04T08:54:15.1944522Z Entering 'third_party/composable_kernel'
2025-12-04T08:54:15.1973105Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/composable_kernel/config	remote.origin.url
2025-12-04T08:54:15.1990843Z Entering 'third_party/cpp-httplib'
2025-12-04T08:54:15.2017524Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/cpp-httplib/config	remote.origin.url
2025-12-04T08:54:15.2033743Z Entering 'third_party/cpuinfo'
2025-12-04T08:54:15.2067407Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/cpuinfo/config	remote.origin.url
2025-12-04T08:54:15.2082368Z Entering 'third_party/cudnn_frontend'
2025-12-04T08:54:15.2105492Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/cudnn_frontend/config	remote.origin.url
2025-12-04T08:54:15.2120061Z Entering 'third_party/cutlass'
2025-12-04T08:54:15.2142237Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/cutlass/config	remote.origin.url
2025-12-04T08:54:15.2160146Z Entering 'third_party/fbgemm'
2025-12-04T08:54:15.2183817Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/config	remote.origin.url
2025-12-04T08:54:15.2197236Z Entering 'third_party/fbgemm/external/asmjit'
2025-12-04T08:54:15.2239275Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/asmjit/config	remote.origin.url
2025-12-04T08:54:15.2252066Z Entering 'third_party/fbgemm/external/composable_kernel'
2025-12-04T08:54:15.2275009Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/composable_kernel/config	remote.origin.url
2025-12-04T08:54:15.2288821Z Entering 'third_party/fbgemm/external/cpuinfo'
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2025-12-04T08:54:15.2320962Z Entering 'third_party/fbgemm/external/cutlass'
2025-12-04T08:54:15.2348023Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/cutlass/config	remote.origin.url
2025-12-04T08:54:15.2364539Z Entering 'third_party/fbgemm/external/googletest'
2025-12-04T08:54:15.2393869Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/googletest/config	remote.origin.url
2025-12-04T08:54:15.2413895Z Entering 'third_party/fbgemm/external/hipify_torch'
2025-12-04T08:54:15.2452911Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/hipify_torch/config	remote.origin.url
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2025-12-04T08:54:15.2508041Z Entering 'third_party/flash-attention'
2025-12-04T08:54:15.2539234Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/flash-attention/config	remote.origin.url
2025-12-04T08:54:15.2552882Z Entering 'third_party/flash-attention/csrc/composable_kernel'
2025-12-04T08:54:15.2585668Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/flash-attention/modules/csrc/composable_kernel/config	remote.origin.url
2025-12-04T08:54:15.2601362Z Entering 'third_party/flash-attention/csrc/cutlass'
2025-12-04T08:54:15.2625658Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/flash-attention/modules/csrc/cutlass/config	remote.origin.url
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2025-12-04T08:54:15.2674038Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/flatbuffers/config	remote.origin.url
2025-12-04T08:54:15.2705265Z Entering 'third_party/fmt'
2025-12-04T08:54:15.2737715Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/fmt/config	remote.origin.url
2025-12-04T08:54:15.2751912Z Entering 'third_party/gemmlowp/gemmlowp'
2025-12-04T08:54:15.2795603Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/gemmlowp/gemmlowp/config	remote.origin.url
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2025-12-04T08:54:15.3180395Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/DCGM/config	remote.origin.url
2025-12-04T08:54:15.3190792Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-12-04T08:54:15.3218658Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/cpr/config	remote.origin.url
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2025-12-04T08:54:15.3272813Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-12-04T08:54:15.3294327Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/gflags/config	remote.origin.url
2025-12-04T08:54:15.3304816Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-12-04T08:54:15.3345208Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/gflags/modules/doc/config	remote.origin.url
2025-12-04T08:54:15.3357621Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-12-04T08:54:15.3381127Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/glog/config	remote.origin.url
2025-12-04T08:54:15.3392736Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-12-04T08:54:15.3419173Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/googletest/config	remote.origin.url
2025-12-04T08:54:15.3428267Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
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2025-12-04T08:54:15.3495249Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/pfs/config	remote.origin.url
2025-12-04T08:54:15.3513160Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp'
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2025-12-04T08:54:15.3625111Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/prometheus-cpp/modules/googletest/config	remote.origin.url
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2025-12-04T08:54:15.3945676Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/onnx/config	remote.origin.url
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2025-12-04T08:54:15.4083715Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-12-04T08:54:15.4115107Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/benchmark/config	remote.origin.url
2025-12-04T08:54:15.4127016Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-12-04T08:54:15.4157112Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/googletest/config	remote.origin.url
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2025-12-04T08:54:15.4292636Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/opentelemetry-proto/config	remote.origin.url
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2025-12-04T08:54:15.4422347Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/prometheus-cpp/modules/civetweb/config	remote.origin.url
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2025-12-04T08:54:15.4533594Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/tools/vcpkg/config	remote.origin.url
2025-12-04T08:54:15.4560969Z Entering 'third_party/pocketfft'
2025-12-04T08:54:15.4602013Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/pocketfft/config	remote.origin.url
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2025-12-04T08:54:15.4661489Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/protobuf/config	remote.origin.url
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2025-12-04T08:54:15.4698807Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/protobuf/modules/third_party/benchmark/config	remote.origin.url
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2025-12-04T08:54:15.4753305Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/protobuf/modules/third_party/googletest/config	remote.origin.url
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2025-12-04T08:54:15.4832259Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/psimd/config	remote.origin.url
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2025-12-04T08:54:15.5101560Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/config	remote.origin.url
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2025-12-04T08:54:15.5179726Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/googletest/config	remote.origin.url
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2025-12-04T08:54:15.5287447Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/libuv/config	remote.origin.url
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2025-12-04T08:54:15.5349550Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/pybind11/config	remote.origin.url
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2025-12-04T08:54:15.5419205Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/pybind11/modules/tools/clang/config	remote.origin.url
2025-12-04T08:54:15.5719762Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'git@github.com:'
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2025-12-04T08:54:16.1419776Z ##[endgroup]
2025-12-04T08:54:16.1607164Z [command]/usr/bin/git log -1 --format=%H
2025-12-04T08:54:16.1693981Z ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T08:54:16.1948809Z ##[group]Run actions/checkout@v4
2025-12-04T08:54:16.1949239Z with:
2025-12-04T08:54:16.1949626Z   ref: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T08:54:16.1950123Z   fetch-depth: 0
2025-12-04T08:54:16.1950422Z   submodules: recursive
2025-12-04T08:54:16.1950762Z   show-progress: false
2025-12-04T08:54:16.1951106Z   repository: pytorch/pytorch
2025-12-04T08:54:16.1951608Z   token: ***
2025-12-04T08:54:16.1951887Z   ssh-strict: true
2025-12-04T08:54:16.1952171Z   ssh-user: git
2025-12-04T08:54:16.1952476Z   persist-credentials: true
2025-12-04T08:54:16.1952831Z   clean: true
2025-12-04T08:54:16.1953141Z   sparse-checkout-cone-mode: true
2025-12-04T08:54:16.1953557Z   fetch-tags: false
2025-12-04T08:54:16.1953847Z   lfs: false
2025-12-04T08:54:16.1954139Z   set-safe-directory: true
2025-12-04T08:54:16.1954464Z env:
2025-12-04T08:54:16.1954736Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:54:16.1955072Z ##[endgroup]
2025-12-04T08:54:16.2421115Z Syncing repository: pytorch/pytorch
2025-12-04T08:54:16.2421789Z ##[group]Getting Git version info
2025-12-04T08:54:16.2422346Z Working directory is '/home/runner/_work/pytorch/pytorch'
2025-12-04T08:54:16.2435235Z [command]/usr/bin/git version
2025-12-04T08:54:16.2455167Z git version 2.52.0
2025-12-04T08:54:16.2466034Z ##[endgroup]
2025-12-04T08:54:16.2470240Z Copying '/home/runner/.gitconfig' to '/home/runner/_work/_temp/fec33dcc-930a-4c68-956c-e0660b67dbe0/.gitconfig'
2025-12-04T08:54:16.2475396Z Temporarily overriding HOME='/home/runner/_work/_temp/fec33dcc-930a-4c68-956c-e0660b67dbe0' before making global git config changes
2025-12-04T08:54:16.2476716Z Adding repository directory to the temporary git global config as a safe directory
2025-12-04T08:54:16.2482615Z [command]/usr/bin/git config --global --add safe.directory /home/runner/_work/pytorch/pytorch
2025-12-04T08:54:16.2501885Z [command]/usr/bin/git config --local --get remote.origin.url
2025-12-04T08:54:16.2527555Z https://github.com/pytorch/pytorch
2025-12-04T08:54:16.2544623Z ##[group]Removing previously created refs, to avoid conflicts
2025-12-04T08:54:16.2548236Z [command]/usr/bin/git rev-parse --symbolic-full-name --verify --quiet HEAD
2025-12-04T08:54:16.2563059Z HEAD
2025-12-04T08:54:16.2611991Z ##[endgroup]
2025-12-04T08:54:16.2613824Z [command]/usr/bin/git submodule status
2025-12-04T08:54:16.2925261Z  7e1e1fe3858c63c251c637ae41a20de425dde96f android/libs/fbjni (v0.1.0-12-g7e1e1fe)
2025-12-04T08:54:16.3006963Z  4dfe081cf6bcd15db339cf2680b9281b8451eeb3 third_party/FP16 (4dfe081)
2025-12-04T08:54:16.3092817Z  b408327ac2a15ec3e43352421954f5b1967701d1 third_party/FXdiv (b408327)
2025-12-04T08:54:16.3165375Z  c07e3a0400713d546e0dea2d5466dd22ea389c73 third_party/NNPACK (c07e3a0)
2025-12-04T08:54:16.3200611Z  3ebbc93ded7285963bff932c678fa367eb393ba6 third_party/NVTX (v3.1.0-313-g3ebbc93)
2025-12-04T08:54:16.3259117Z  1d8f600fd424278486eade7ed3e877c99f0846b1 third_party/VulkanMemoryAllocator (v2.1.0-982-g1d8f600)
2025-12-04T08:54:16.3588577Z  51a0103656eff6fc9bfd39a4597923c4b542c883 third_party/XNNPACK (remotes/origin/ds/ndk-1243-g51a0103656)
2025-12-04T08:54:16.3632322Z  01aae101b9e5e94d6c16a9514c9fb8df99c93150 third_party/aiter (v0.1.1-92-g01aae101)
2025-12-04T08:54:16.3669281Z  299e5928955cc62af9968370293b916f5130916f third_party/benchmark (v1.9.3)
2025-12-04T08:54:16.3738353Z  7fe50dc3da2069d6645d9deb8c017a876472a977 third_party/composable_kernel (rocm-6.4.3-459-g7fe50dc3d)
2025-12-04T08:54:16.3860808Z  89c932f313c6437c38f2982869beacc89c2f2246 third_party/cpp-httplib (v0.26.0)
2025-12-04T08:54:16.3993867Z  f858c30bcb16f8effd5ff46996f0514539e17abc third_party/cpuinfo (f858c30)
2025-12-04T08:54:16.4037581Z  0b1577c8c83401237d601d0d0db5210506705396 third_party/cudnn_frontend (v0.5-61-g0b1577c)
2025-12-04T08:54:16.4143251Z  f88806b1e31dfa579842638740216dd41fc6c588 third_party/cutlass (v4.3.1)
2025-12-04T08:54:16.4163117Z  c0b988d39a9e47c794d699f29930ed4d7c7e13a4 third_party/fbgemm (v1.4.0-rc1-2-gc0b988d39)
2025-12-04T08:54:16.4242650Z  979702c87a8713a8e0a5e9fee122b90d2ef13be5 third_party/flash-attention (v2.7.4)
2025-12-04T08:54:16.4275663Z  a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757 third_party/flatbuffers (v24.12.23)
2025-12-04T08:54:16.4542646Z  407c905e45ad75fc29bf0f9bb7c5c2fd3475976f third_party/fmt (12.1.0)
2025-12-04T08:54:16.4678268Z  3fb5c176c17c765a3492cd2f0321b0dab712f350 third_party/gemmlowp/gemmlowp (remotes/origin/revert-87-master-135-g3fb5c17)
2025-12-04T08:54:16.4804247Z  54cbae0d3a67fa890b4c3d9ee162b7860315e341 third_party/gloo (remotes/origin/gh/c-p-i-o/1/base-37-g54cbae0)
2025-12-04T08:54:16.4956543Z  52eb8108c5bdec04579160ae17225d66034bd723 third_party/googletest (release-1.8.0-3544-g52eb8108)
2025-12-04T08:54:16.5033862Z  719d8e6cd7f7a0e01b155657526d693acf97c2b3 third_party/ideep (pytorch-rls-v3.7.1)
2025-12-04T08:54:16.5111026Z  dec1d23ca65ab069d225dfe40dea14f455170959 third_party/ittapi (v3.25.5)
2025-12-04T08:54:16.5290148Z  31f85df8fbd89c188f14ef10f1ec65379786b943 third_party/kineto (heads/main)
2025-12-04T08:54:16.5332006Z  d7770c89632329a9914ef1a90289917597639cbe third_party/kleidiai (v1.15.0)
2025-12-04T08:54:16.5354327Z  fbd8b99c2b828428947d70fdc046bb55609be93e third_party/mimalloc (v2.2.4)
2025-12-04T08:54:16.5399350Z  55f93686c01528224f448c19128836e7df245f72 third_party/nlohmann (v3.12.0)
2025-12-04T08:54:16.5620694Z  e709452ef2bbc1d113faf678c24e6d3467696e83 third_party/onnx (v1.18.0)
2025-12-04T08:54:16.5653875Z  a799f4aed9c94b765dcdaabaeab7d5e7e2310878 third_party/opentelemetry-cpp (v1.14.2)
2025-12-04T08:54:16.5689810Z  0fa0ef591e38c2758e3184c6c23e497b9f732ffa third_party/pocketfft (release_for_eigen-40-g0fa0ef5)
2025-12-04T08:54:16.5927544Z  d1eca4e4b421cd2997495c4b4e65cea6be4e9b8a third_party/protobuf (v3.7.0-rc.2-1279-gd1eca4e4b)
2025-12-04T08:54:16.6026818Z  072586a71b55b7f8c584153d223e95687148a900 third_party/psimd (heads/master)
2025-12-04T08:54:16.6081230Z  4fe0e1e183925bf8cfa6aae24237e724a96479b8 third_party/pthreadpool (0.1-144-g4fe0e1e)
2025-12-04T08:54:16.6106266Z  f5fbe867d2d26e4a0a9177a51f6e568868ad3dc8 third_party/pybind11 (v3.0.1)
2025-12-04T08:54:16.6167475Z  f45429b087dd7d5bc78bb40dc7cf06425c252d67 third_party/python-peachpy (remotes/origin/pre-generated)
2025-12-04T08:54:16.6242943Z  5a1d179df9cf652951b59010a2d2075372d67f68 third_party/sleef (3.8)
2025-12-04T08:54:16.6300205Z  2b4cd91092d335a697416b2a3cb398283246849d third_party/tensorpipe (heads/main)
2025-12-04T08:54:16.6314564Z ##[group]Cleaning the repository
2025-12-04T08:54:16.6319473Z [command]/usr/bin/git clean -ffdx
2025-12-04T08:54:16.6466961Z [command]/usr/bin/git reset --hard HEAD
2025-12-04T08:54:16.7240308Z HEAD is now at ffd9b0fb4355 Resolve collective autotuning test failure on arm (#168919)
2025-12-04T08:54:16.7289749Z ##[endgroup]
2025-12-04T08:54:16.7293493Z ##[group]Disabling automatic garbage collection
2025-12-04T08:54:16.7301768Z [command]/usr/bin/git config --local gc.auto 0
2025-12-04T08:54:16.7327856Z ##[endgroup]
2025-12-04T08:54:16.7328435Z ##[group]Setting up auth
2025-12-04T08:54:16.7338849Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
2025-12-04T08:54:16.7382478Z [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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2025-12-04T08:54:17.0727012Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
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2025-12-04T08:54:17.4991415Z [command]/usr/bin/git config --local --name-only --get-regexp ^includeIf\.gitdir:
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2025-12-04T08:54:17.7219631Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/benchmark/config	remote.origin.url
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2025-12-04T08:54:17.7315642Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
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2025-12-04T08:54:17.7504408Z Entering 'third_party/pocketfft'
2025-12-04T08:54:17.7516307Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/pocketfft/config	remote.origin.url
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2025-12-04T08:54:17.7541073Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/protobuf/config	remote.origin.url
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2025-12-04T08:54:17.7594685Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/protobuf/modules/third_party/benchmark/config	remote.origin.url
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2025-12-04T08:54:17.7619849Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/protobuf/modules/third_party/googletest/config	remote.origin.url
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2025-12-04T08:54:17.7642616Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/psimd/config	remote.origin.url
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2025-12-04T08:54:17.9818733Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic ***
2025-12-04T08:54:17.9863935Z ##[endgroup]
2025-12-04T08:54:17.9864565Z ##[group]Fetching the repository
2025-12-04T08:54:17.9868548Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/*
2025-12-04T08:54:19.2454054Z [command]/usr/bin/git rev-parse --verify --quiet ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32^{object}
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2025-12-04T08:54:19.2554840Z ##[endgroup]
2025-12-04T08:54:19.2555394Z ##[group]Determining the checkout info
2025-12-04T08:54:19.2557336Z ##[endgroup]
2025-12-04T08:54:19.2564915Z [command]/usr/bin/git sparse-checkout disable
2025-12-04T08:54:19.2665368Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig
2025-12-04T08:54:19.2693101Z ##[group]Checking out the ref
2025-12-04T08:54:19.2698684Z [command]/usr/bin/git checkout --progress --force ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T08:54:19.2965185Z HEAD is now at ffd9b0fb4355 Resolve collective autotuning test failure on arm (#168919)
2025-12-04T08:54:19.2970076Z ##[endgroup]
2025-12-04T08:54:19.2970625Z ##[group]Setting up auth for fetching submodules
2025-12-04T08:54:19.2974973Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic ***
2025-12-04T08:54:19.3003179Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf
2025-12-04T08:54:19.3023427Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com:
2025-12-04T08:54:19.3047184Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com:
2025-12-04T08:54:19.3065016Z ##[endgroup]
2025-12-04T08:54:19.3065519Z ##[group]Fetching submodules
2025-12-04T08:54:19.3066560Z [command]/usr/bin/git submodule sync --recursive
2025-12-04T08:54:19.3302376Z Synchronizing submodule url for 'android/libs/fbjni'
2025-12-04T08:54:19.3314384Z Synchronizing submodule url for 'third_party/FP16'
2025-12-04T08:54:19.3341075Z Synchronizing submodule url for 'third_party/FXdiv'
2025-12-04T08:54:19.3358839Z Synchronizing submodule url for 'third_party/NNPACK'
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2025-12-04T08:54:19.3406774Z Synchronizing submodule url for 'third_party/XNNPACK'
2025-12-04T08:54:19.3426999Z Synchronizing submodule url for 'third_party/aiter'
2025-12-04T08:54:19.3442838Z Synchronizing submodule url for 'third_party/aiter/3rdparty/composable_kernel'
2025-12-04T08:54:19.3475551Z Synchronizing submodule url for 'third_party/benchmark'
2025-12-04T08:54:19.3487933Z Synchronizing submodule url for 'third_party/composable_kernel'
2025-12-04T08:54:19.3505054Z Synchronizing submodule url for 'third_party/cpp-httplib'
2025-12-04T08:54:19.3516832Z Synchronizing submodule url for 'third_party/cpuinfo'
2025-12-04T08:54:19.3528954Z Synchronizing submodule url for 'third_party/cudnn_frontend'
2025-12-04T08:54:19.3541480Z Synchronizing submodule url for 'third_party/cutlass'
2025-12-04T08:54:19.3560353Z Synchronizing submodule url for 'third_party/fbgemm'
2025-12-04T08:54:19.3577848Z Synchronizing submodule url for 'third_party/fbgemm/external/asmjit'
2025-12-04T08:54:19.3587977Z Synchronizing submodule url for 'third_party/fbgemm/external/composable_kernel'
2025-12-04T08:54:19.3614841Z Synchronizing submodule url for 'third_party/fbgemm/external/cpuinfo'
2025-12-04T08:54:19.3638812Z Synchronizing submodule url for 'third_party/fbgemm/external/cutlass'
2025-12-04T08:54:19.3654808Z Synchronizing submodule url for 'third_party/fbgemm/external/googletest'
2025-12-04T08:54:19.3678677Z Synchronizing submodule url for 'third_party/fbgemm/external/hipify_torch'
2025-12-04T08:54:19.3700115Z Synchronizing submodule url for 'third_party/fbgemm/external/json'
2025-12-04T08:54:19.3719317Z Synchronizing submodule url for 'third_party/flash-attention'
2025-12-04T08:54:19.3747520Z Synchronizing submodule url for 'third_party/flash-attention/csrc/composable_kernel'
2025-12-04T08:54:19.3761418Z Synchronizing submodule url for 'third_party/flash-attention/csrc/cutlass'
2025-12-04T08:54:19.3779990Z Synchronizing submodule url for 'third_party/flatbuffers'
2025-12-04T08:54:19.3794121Z Synchronizing submodule url for 'third_party/fmt'
2025-12-04T08:54:19.3807113Z Synchronizing submodule url for 'third_party/gemmlowp/gemmlowp'
2025-12-04T08:54:19.3820208Z Synchronizing submodule url for 'third_party/gloo'
2025-12-04T08:54:19.3834265Z Synchronizing submodule url for 'third_party/googletest'
2025-12-04T08:54:19.3847746Z Synchronizing submodule url for 'third_party/ideep'
2025-12-04T08:54:19.3862841Z Synchronizing submodule url for 'third_party/ideep/mkl-dnn'
2025-12-04T08:54:19.3889337Z Synchronizing submodule url for 'third_party/ittapi'
2025-12-04T08:54:19.3905812Z Synchronizing submodule url for 'third_party/kineto'
2025-12-04T08:54:19.3935288Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog'
2025-12-04T08:54:19.3961806Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-12-04T08:54:19.3974179Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-12-04T08:54:19.3985819Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-12-04T08:54:19.3998358Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-12-04T08:54:19.4015408Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-12-04T08:54:19.4028231Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-12-04T08:54:19.4040470Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-12-04T08:54:19.4052470Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-12-04T08:54:19.4065130Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-12-04T08:54:19.4088238Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp'
2025-12-04T08:54:19.4111650Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb'
2025-12-04T08:54:19.4130832Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest'
2025-12-04T08:54:19.4146621Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/fmt'
2025-12-04T08:54:19.4161844Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/googletest'
2025-12-04T08:54:19.4175869Z Synchronizing submodule url for 'third_party/kleidiai'
2025-12-04T08:54:19.4188578Z Synchronizing submodule url for 'third_party/mimalloc'
2025-12-04T08:54:19.4201589Z Synchronizing submodule url for 'third_party/nlohmann'
2025-12-04T08:54:19.4213967Z Synchronizing submodule url for 'third_party/onnx'
2025-12-04T08:54:19.4234635Z Synchronizing submodule url for 'third_party/onnx/third_party/pybind11'
2025-12-04T08:54:19.4260488Z Synchronizing submodule url for 'third_party/opentelemetry-cpp'
2025-12-04T08:54:19.4291595Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-12-04T08:54:19.4304953Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/googletest'
2025-12-04T08:54:19.4327608Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-12-04T08:54:19.4339118Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-12-04T08:54:19.4351990Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-12-04T08:54:19.4363833Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-12-04T08:54:19.4376390Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-12-04T08:54:19.4387831Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-12-04T08:54:19.4400193Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-12-04T08:54:19.4412626Z Synchronizing submodule url for 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-12-04T08:54:19.4434298Z Synchronizing submodule url for 'third_party/pocketfft'
2025-12-04T08:54:19.4448994Z Synchronizing submodule url for 'third_party/protobuf'
2025-12-04T08:54:19.4462799Z Synchronizing submodule url for 'third_party/protobuf/third_party/benchmark'
2025-12-04T08:54:19.4475010Z Synchronizing submodule url for 'third_party/protobuf/third_party/googletest'
2025-12-04T08:54:19.4489070Z Synchronizing submodule url for 'third_party/psimd'
2025-12-04T08:54:19.4502461Z Synchronizing submodule url for 'third_party/pthreadpool'
2025-12-04T08:54:19.4514960Z Synchronizing submodule url for 'third_party/pybind11'
2025-12-04T08:54:19.4529077Z Synchronizing submodule url for 'third_party/python-peachpy'
2025-12-04T08:54:19.4543132Z Synchronizing submodule url for 'third_party/sleef'
2025-12-04T08:54:19.4557017Z Synchronizing submodule url for 'third_party/tensorpipe'
2025-12-04T08:54:19.4575909Z Synchronizing submodule url for 'third_party/tensorpipe/third_party/googletest'
2025-12-04T08:54:19.4589198Z Synchronizing submodule url for 'third_party/tensorpipe/third_party/libnop'
2025-12-04T08:54:19.4600418Z Synchronizing submodule url for 'third_party/tensorpipe/third_party/libuv'
2025-12-04T08:54:19.4623728Z Synchronizing submodule url for 'third_party/tensorpipe/third_party/pybind11'
2025-12-04T08:54:19.4651401Z Synchronizing submodule url for 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-12-04T08:54:19.4697271Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive
2025-12-04T08:54:19.4996444Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f'
2025-12-04T08:54:19.5076947Z Submodule path 'third_party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3'
2025-12-04T08:54:19.5141294Z Submodule path 'third_party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1'
2025-12-04T08:54:19.5220254Z Submodule path 'third_party/NNPACK': checked out 'c07e3a0400713d546e0dea2d5466dd22ea389c73'
2025-12-04T08:54:19.5340921Z Submodule path 'third_party/NVTX': checked out '3ebbc93ded7285963bff932c678fa367eb393ba6'
2025-12-04T08:54:19.5405633Z Submodule path 'third_party/VulkanMemoryAllocator': checked out '1d8f600fd424278486eade7ed3e877c99f0846b1'
2025-12-04T08:54:19.5587702Z Submodule path 'third_party/XNNPACK': checked out '51a0103656eff6fc9bfd39a4597923c4b542c883'
2025-12-04T08:54:19.5751633Z Submodule path 'third_party/aiter': checked out '01aae101b9e5e94d6c16a9514c9fb8df99c93150'
2025-12-04T08:54:19.5935779Z Submodule path 'third_party/aiter/3rdparty/composable_kernel': checked out 'cffe8fa2a442ac8e80dd236a1a5d24fe3d7e0cbf'
2025-12-04T08:54:19.6046935Z Submodule path 'third_party/benchmark': checked out '299e5928955cc62af9968370293b916f5130916f'
2025-12-04T08:54:19.6251129Z Submodule path 'third_party/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977'
2025-12-04T08:54:19.6318190Z Submodule path 'third_party/cpp-httplib': checked out '89c932f313c6437c38f2982869beacc89c2f2246'
2025-12-04T08:54:19.6394011Z Submodule path 'third_party/cpuinfo': checked out 'f858c30bcb16f8effd5ff46996f0514539e17abc'
2025-12-04T08:54:19.6480263Z Submodule path 'third_party/cudnn_frontend': checked out '0b1577c8c83401237d601d0d0db5210506705396'
2025-12-04T08:54:19.6610358Z Submodule path 'third_party/cutlass': checked out 'f88806b1e31dfa579842638740216dd41fc6c588'
2025-12-04T08:54:19.6756345Z Submodule path 'third_party/fbgemm': checked out 'c0b988d39a9e47c794d699f29930ed4d7c7e13a4'
2025-12-04T08:54:19.6821722Z Submodule path 'third_party/fbgemm/external/asmjit': checked out 'a3199e8857792cd10b7589ff5d58343d2c9008ea'
2025-12-04T08:54:19.6997327Z Submodule path 'third_party/fbgemm/external/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977'
2025-12-04T08:54:19.7068869Z Submodule path 'third_party/fbgemm/external/cpuinfo': checked out '6543fec09b2f04ac4a666882998b534afc9c1349'
2025-12-04T08:54:19.7202641Z Submodule path 'third_party/fbgemm/external/cutlass': checked out '98125ce499b0fdf7ffbe0e3052f5b8709f4840f8'
2025-12-04T08:54:19.7304691Z Submodule path 'third_party/fbgemm/external/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723'
2025-12-04T08:54:19.7380782Z Submodule path 'third_party/fbgemm/external/hipify_torch': checked out '63b6a7b541fa7f08f8475ca7d74054db36ff2691'
2025-12-04T08:54:19.7481983Z Submodule path 'third_party/fbgemm/external/json': checked out '9cca280a4d0ccf0c08f47a99aa71d1b0e52f8d03'
2025-12-04T08:54:19.7614220Z Submodule path 'third_party/flash-attention': checked out '979702c87a8713a8e0a5e9fee122b90d2ef13be5'
2025-12-04T08:54:19.7819175Z Submodule path 'third_party/flash-attention/csrc/composable_kernel': checked out '888317e698e9803c62bd38568abc9e05d7709f33'
2025-12-04T08:54:19.7942263Z Submodule path 'third_party/flash-attention/csrc/cutlass': checked out 'c506e16788cb08416a4a57e11a9067beeee29420'
2025-12-04T08:54:19.8056573Z Submodule path 'third_party/flatbuffers': checked out 'a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757'
2025-12-04T08:54:19.8132938Z Submodule path 'third_party/fmt': checked out '407c905e45ad75fc29bf0f9bb7c5c2fd3475976f'
2025-12-04T08:54:19.8206673Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350'
2025-12-04T08:54:19.8292125Z Submodule path 'third_party/gloo': checked out '54cbae0d3a67fa890b4c3d9ee162b7860315e341'
2025-12-04T08:54:19.8365214Z Submodule path 'third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723'
2025-12-04T08:54:19.8450020Z Submodule path 'third_party/ideep': checked out '719d8e6cd7f7a0e01b155657526d693acf97c2b3'
2025-12-04T08:54:19.8652945Z Submodule path 'third_party/ideep/mkl-dnn': checked out '8d263e693366ef8db40acc569cc7d8edf644556d'
2025-12-04T08:54:19.8748844Z Submodule path 'third_party/ittapi': checked out 'dec1d23ca65ab069d225dfe40dea14f455170959'
2025-12-04T08:54:19.8836206Z Submodule path 'third_party/kineto': checked out '31f85df8fbd89c188f14ef10f1ec65379786b943'
2025-12-04T08:54:19.9005236Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out 'd2ffe0a4e3acace628db49974246b66fc3e85fb1'
2025-12-04T08:54:19.9104764Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9'
2025-12-04T08:54:19.9192102Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400'
2025-12-04T08:54:19.9292120Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05'
2025-12-04T08:54:19.9362593Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067'
2025-12-04T08:54:19.9464000Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc': checked out '8411df715cf522606e3b1aca386ddfc0b63d34b4'
2025-12-04T08:54:19.9540159Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog': checked out 'b33e3bad4c46c8a6345525fd822af355e5ef9446'
2025-12-04T08:54:19.9619371Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723'
2025-12-04T08:54:19.9745449Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json': checked out '4f8fba14066156b73f1189a2b8bd568bde5284c5'
2025-12-04T08:54:19.9833466Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs': checked out 'f68a2fa8ea36c783bdd760371411fcb495aa3150'
2025-12-04T08:54:19.9940175Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp': checked out 'b1234816facfdda29845c46696a02998a4af115a'
2025-12-04T08:54:20.0062673Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb': checked out 'd7ba35bbb649209c66e582d5a0244ba988a15159'
2025-12-04T08:54:20.0161098Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929'
2025-12-04T08:54:20.0275600Z Submodule path 'third_party/kineto/libkineto/third_party/fmt': checked out '40626af88bd7df9a5fb80be7b25ac85b122d6c21'
2025-12-04T08:54:20.0358857Z Submodule path 'third_party/kineto/libkineto/third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723'
2025-12-04T08:54:20.0487714Z Submodule path 'third_party/kleidiai': checked out 'd7770c89632329a9914ef1a90289917597639cbe'
2025-12-04T08:54:20.0603408Z Submodule path 'third_party/mimalloc': checked out 'fbd8b99c2b828428947d70fdc046bb55609be93e'
2025-12-04T08:54:20.0730397Z Submodule path 'third_party/nlohmann': checked out '55f93686c01528224f448c19128836e7df245f72'
2025-12-04T08:54:20.0937912Z Submodule path 'third_party/onnx': checked out 'e709452ef2bbc1d113faf678c24e6d3467696e83'
2025-12-04T08:54:20.1032455Z Submodule path 'third_party/onnx/third_party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4'
2025-12-04T08:54:20.1156652Z Submodule path 'third_party/opentelemetry-cpp': checked out 'a799f4aed9c94b765dcdaabaeab7d5e7e2310878'
2025-12-04T08:54:20.1257381Z Submodule path 'third_party/opentelemetry-cpp/third_party/benchmark': checked out 'd572f4777349d43653b21d6c2fc63020ab326db2'
2025-12-04T08:54:20.1355489Z Submodule path 'third_party/opentelemetry-cpp/third_party/googletest': checked out 'b796f7d44681514f58a683a3a71ff17c94edb0c1'
2025-12-04T08:54:20.1426996Z Submodule path 'third_party/opentelemetry-cpp/third_party/ms-gsl': checked out '6f4529395c5b7c2d661812257cd6780c67e54afa'
2025-12-04T08:54:20.1532028Z Submodule path 'third_party/opentelemetry-cpp/third_party/nlohmann-json': checked out 'bc889afb4c5bf1c0d8ee29ef35eaaf4c8bef8a5d'
2025-12-04T08:54:20.1615878Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto': checked out '4ca4f0335c63cda7ab31ea7ed70d6553aee14dce'
2025-12-04T08:54:20.1693916Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp': checked out '06b57f48ded1fa3bdd3d4346f6ef29e40e08eaf5'
2025-12-04T08:54:20.1788239Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp': checked out 'c9ffcdda9086ffd9e1283ea7a0276d831f3c8a8d'
2025-12-04T08:54:20.1903738Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb': checked out 'eefb26f82b233268fc98577d265352720d477ba4'
2025-12-04T08:54:20.1984470Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929'
2025-12-04T08:54:20.2150837Z Submodule path 'third_party/opentelemetry-cpp/tools/vcpkg': checked out '8eb57355a4ffb410a2e94c07b4dca2dffbee8e50'
2025-12-04T08:54:20.2240952Z Submodule path 'third_party/pocketfft': checked out '0fa0ef591e38c2758e3184c6c23e497b9f732ffa'
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2025-12-04T08:54:20.2527455Z Submodule path 'third_party/protobuf/third_party/benchmark': checked out '5b7683f49e1e9223cf9927b24f6fd3d6bd82e3f8'
2025-12-04T08:54:20.2628480Z Submodule path 'third_party/protobuf/third_party/googletest': checked out '5ec7f0c4a113e2f18ac2c6cc7df51ad6afc24081'
2025-12-04T08:54:20.2719490Z Submodule path 'third_party/psimd': checked out '072586a71b55b7f8c584153d223e95687148a900'
2025-12-04T08:54:20.2769198Z Submodule path 'third_party/pthreadpool': checked out '4fe0e1e183925bf8cfa6aae24237e724a96479b8'
2025-12-04T08:54:20.2879318Z Submodule path 'third_party/pybind11': checked out 'f5fbe867d2d26e4a0a9177a51f6e568868ad3dc8'
2025-12-04T08:54:20.2977679Z Submodule path 'third_party/python-peachpy': checked out 'f45429b087dd7d5bc78bb40dc7cf06425c252d67'
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2025-12-04T08:54:20.3572030Z Submodule path 'third_party/tensorpipe/third_party/pybind11': checked out 'a23996fce38ff6ccfbcdc09f1e63f2c4be5ea2ef'
2025-12-04T08:54:20.3638605Z Submodule path 'third_party/tensorpipe/third_party/pybind11/tools/clang': checked out '6a00cbc4a9b8e68b71caf7f774b3f9c753ae84d5'
2025-12-04T08:54:20.3676954Z [command]/usr/bin/git submodule foreach --recursive git config --local gc.auto 0
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2025-12-04T08:54:20.5740133Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-12-04T08:54:20.5759156Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-12-04T08:54:20.5784695Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-12-04T08:54:20.5813869Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-12-04T08:54:20.5846210Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-12-04T08:54:20.5870963Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-12-04T08:54:20.5906994Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-12-04T08:54:20.5942758Z Entering 'third_party/pocketfft'
2025-12-04T08:54:20.5964559Z Entering 'third_party/protobuf'
2025-12-04T08:54:20.5987806Z Entering 'third_party/protobuf/third_party/benchmark'
2025-12-04T08:54:20.6018259Z Entering 'third_party/protobuf/third_party/googletest'
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2025-12-04T08:54:20.6111493Z Entering 'third_party/pthreadpool'
2025-12-04T08:54:20.6151367Z Entering 'third_party/pybind11'
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2025-12-04T08:54:20.6284709Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-12-04T08:54:20.6324049Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-12-04T08:54:20.6360412Z Entering 'third_party/tensorpipe/third_party/libuv'
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2025-12-04T08:54:20.6467035Z ##[endgroup]
2025-12-04T08:54:20.6467249Z ##[group]Persisting credentials for submodules
2025-12-04T08:54:20.6479652Z [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' || :"
2025-12-04T08:54:20.6681478Z Entering 'android/libs/fbjni'
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2025-12-04T08:54:20.8340313Z Entering 'third_party/kineto'
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2025-12-04T08:54:20.8379117Z Entering 'third_party/kineto/libkineto/third_party/dynolog'
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2025-12-04T08:54:20.8414727Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
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2025-12-04T08:54:20.8543491Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
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2025-12-04T08:54:20.8616502Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-12-04T08:54:20.8634807Z url.https://github.com/.insteadof
2025-12-04T08:54:20.8635219Z url.https://github.com/.insteadof
2025-12-04T08:54:20.8654653Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-12-04T08:54:20.8683448Z url.https://github.com/.insteadof
2025-12-04T08:54:20.8683872Z url.https://github.com/.insteadof
2025-12-04T08:54:20.8704362Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-12-04T08:54:20.8727082Z url.https://github.com/.insteadof
2025-12-04T08:54:20.8727501Z url.https://github.com/.insteadof
2025-12-04T08:54:20.8759055Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-12-04T08:54:20.8775546Z url.https://github.com/.insteadof
2025-12-04T08:54:20.8776335Z url.https://github.com/.insteadof
2025-12-04T08:54:20.8793234Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp'
2025-12-04T08:54:20.8810662Z url.https://github.com/.insteadof
2025-12-04T08:54:20.8810802Z url.https://github.com/.insteadof
2025-12-04T08:54:20.8838378Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb'
2025-12-04T08:54:20.8860100Z url.https://github.com/.insteadof
2025-12-04T08:54:20.8860240Z url.https://github.com/.insteadof
2025-12-04T08:54:20.8881994Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest'
2025-12-04T08:54:20.8895965Z url.https://github.com/.insteadof
2025-12-04T08:54:20.8896105Z url.https://github.com/.insteadof
2025-12-04T08:54:20.8926747Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2025-12-04T08:54:20.8949972Z url.https://github.com/.insteadof
2025-12-04T08:54:20.8950112Z url.https://github.com/.insteadof
2025-12-04T08:54:20.8979702Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2025-12-04T08:54:20.9003524Z url.https://github.com/.insteadof
2025-12-04T08:54:20.9003655Z url.https://github.com/.insteadof
2025-12-04T08:54:20.9028325Z Entering 'third_party/kleidiai'
2025-12-04T08:54:20.9045971Z url.https://github.com/.insteadof
2025-12-04T08:54:20.9046126Z url.https://github.com/.insteadof
2025-12-04T08:54:20.9087905Z Entering 'third_party/mimalloc'
2025-12-04T08:54:20.9104059Z url.https://github.com/.insteadof
2025-12-04T08:54:20.9104196Z url.https://github.com/.insteadof
2025-12-04T08:54:20.9136921Z Entering 'third_party/nlohmann'
2025-12-04T08:54:20.9156157Z url.https://github.com/.insteadof
2025-12-04T08:54:20.9156304Z url.https://github.com/.insteadof
2025-12-04T08:54:20.9200839Z Entering 'third_party/onnx'
2025-12-04T08:54:20.9219952Z url.https://github.com/.insteadof
2025-12-04T08:54:20.9220091Z url.https://github.com/.insteadof
2025-12-04T08:54:20.9271639Z Entering 'third_party/onnx/third_party/pybind11'
2025-12-04T08:54:20.9294120Z url.https://github.com/.insteadof
2025-12-04T08:54:20.9330984Z url.https://github.com/.insteadof
2025-12-04T08:54:20.9331422Z Entering 'third_party/opentelemetry-cpp'
2025-12-04T08:54:20.9355346Z url.https://github.com/.insteadof
2025-12-04T08:54:20.9355608Z url.https://github.com/.insteadof
2025-12-04T08:54:20.9399110Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-12-04T08:54:20.9414825Z url.https://github.com/.insteadof
2025-12-04T08:54:20.9415365Z url.https://github.com/.insteadof
2025-12-04T08:54:20.9445116Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-12-04T08:54:20.9467194Z url.https://github.com/.insteadof
2025-12-04T08:54:20.9467634Z url.https://github.com/.insteadof
2025-12-04T08:54:20.9496186Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-12-04T08:54:20.9511887Z url.https://github.com/.insteadof
2025-12-04T08:54:20.9512311Z url.https://github.com/.insteadof
2025-12-04T08:54:20.9531523Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-12-04T08:54:20.9562170Z url.https://github.com/.insteadof
2025-12-04T08:54:20.9562590Z url.https://github.com/.insteadof
2025-12-04T08:54:20.9595045Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-12-04T08:54:20.9623047Z url.https://github.com/.insteadof
2025-12-04T08:54:20.9623466Z url.https://github.com/.insteadof
2025-12-04T08:54:20.9646886Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-12-04T08:54:20.9663320Z url.https://github.com/.insteadof
2025-12-04T08:54:20.9663740Z url.https://github.com/.insteadof
2025-12-04T08:54:20.9694713Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-12-04T08:54:20.9714516Z url.https://github.com/.insteadof
2025-12-04T08:54:20.9714932Z url.https://github.com/.insteadof
2025-12-04T08:54:20.9736128Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-12-04T08:54:20.9751654Z url.https://github.com/.insteadof
2025-12-04T08:54:20.9752072Z url.https://github.com/.insteadof
2025-12-04T08:54:20.9774665Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-12-04T08:54:20.9792758Z url.https://github.com/.insteadof
2025-12-04T08:54:20.9793213Z url.https://github.com/.insteadof
2025-12-04T08:54:20.9830060Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-12-04T08:54:20.9855195Z url.https://github.com/.insteadof
2025-12-04T08:54:20.9855443Z url.https://github.com/.insteadof
2025-12-04T08:54:20.9898286Z Entering 'third_party/pocketfft'
2025-12-04T08:54:20.9919341Z url.https://github.com/.insteadof
2025-12-04T08:54:20.9919940Z url.https://github.com/.insteadof
2025-12-04T08:54:20.9949285Z Entering 'third_party/protobuf'
2025-12-04T08:54:20.9971070Z url.https://github.com/.insteadof
2025-12-04T08:54:20.9971603Z url.https://github.com/.insteadof
2025-12-04T08:54:20.9992393Z Entering 'third_party/protobuf/third_party/benchmark'
2025-12-04T08:54:21.0007132Z url.https://github.com/.insteadof
2025-12-04T08:54:21.0007573Z url.https://github.com/.insteadof
2025-12-04T08:54:21.0039898Z Entering 'third_party/protobuf/third_party/googletest'
2025-12-04T08:54:21.0065652Z url.https://github.com/.insteadof
2025-12-04T08:54:21.0066072Z url.https://github.com/.insteadof
2025-12-04T08:54:21.0092452Z Entering 'third_party/psimd'
2025-12-04T08:54:21.0109793Z url.https://github.com/.insteadof
2025-12-04T08:54:21.0110595Z url.https://github.com/.insteadof
2025-12-04T08:54:21.0142526Z Entering 'third_party/pthreadpool'
2025-12-04T08:54:21.0158644Z url.https://github.com/.insteadof
2025-12-04T08:54:21.0159060Z url.https://github.com/.insteadof
2025-12-04T08:54:21.0178739Z Entering 'third_party/pybind11'
2025-12-04T08:54:21.0200505Z url.https://github.com/.insteadof
2025-12-04T08:54:21.0200925Z url.https://github.com/.insteadof
2025-12-04T08:54:21.0219503Z Entering 'third_party/python-peachpy'
2025-12-04T08:54:21.0237062Z url.https://github.com/.insteadof
2025-12-04T08:54:21.0237496Z url.https://github.com/.insteadof
2025-12-04T08:54:21.0258804Z Entering 'third_party/sleef'
2025-12-04T08:54:21.0278791Z url.https://github.com/.insteadof
2025-12-04T08:54:21.0279208Z url.https://github.com/.insteadof
2025-12-04T08:54:21.0301370Z Entering 'third_party/tensorpipe'
2025-12-04T08:54:21.0321131Z url.https://github.com/.insteadof
2025-12-04T08:54:21.0321541Z url.https://github.com/.insteadof
2025-12-04T08:54:21.0341502Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-12-04T08:54:21.0362602Z url.https://github.com/.insteadof
2025-12-04T08:54:21.0363021Z url.https://github.com/.insteadof
2025-12-04T08:54:21.0382142Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-12-04T08:54:21.0411728Z url.https://github.com/.insteadof
2025-12-04T08:54:21.0412146Z url.https://github.com/.insteadof
2025-12-04T08:54:21.0430710Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-12-04T08:54:21.0457940Z url.https://github.com/.insteadof
2025-12-04T08:54:21.0458420Z url.https://github.com/.insteadof
2025-12-04T08:54:21.0479122Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-12-04T08:54:21.0492787Z url.https://github.com/.insteadof
2025-12-04T08:54:21.0493206Z url.https://github.com/.insteadof
2025-12-04T08:54:21.0512365Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-12-04T08:54:21.0530724Z url.https://github.com/.insteadof
2025-12-04T08:54:21.0531148Z url.https://github.com/.insteadof
2025-12-04T08:54:21.0577307Z [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"
2025-12-04T08:54:21.0763640Z Entering 'android/libs/fbjni'
2025-12-04T08:54:21.0785746Z file:/home/runner/_work/pytorch/pytorch/.git/modules/android/libs/fbjni/config	remote.origin.url
2025-12-04T08:54:21.0797663Z Entering 'third_party/FP16'
2025-12-04T08:54:21.0823128Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FP16/config	remote.origin.url
2025-12-04T08:54:21.0834710Z Entering 'third_party/FXdiv'
2025-12-04T08:54:21.0863512Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FXdiv/config	remote.origin.url
2025-12-04T08:54:21.0875311Z Entering 'third_party/NNPACK'
2025-12-04T08:54:21.0898186Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK/config	remote.origin.url
2025-12-04T08:54:21.0911325Z Entering 'third_party/NVTX'
2025-12-04T08:54:21.0941495Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/NVTX/config	remote.origin.url
2025-12-04T08:54:21.0954935Z Entering 'third_party/VulkanMemoryAllocator'
2025-12-04T08:54:21.0994798Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/VulkanMemoryAllocator/config	remote.origin.url
2025-12-04T08:54:21.1007217Z Entering 'third_party/XNNPACK'
2025-12-04T08:54:21.1040188Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/XNNPACK/config	remote.origin.url
2025-12-04T08:54:21.1061464Z Entering 'third_party/aiter'
2025-12-04T08:54:21.1087283Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/aiter/config	remote.origin.url
2025-12-04T08:54:21.1100308Z Entering 'third_party/aiter/3rdparty/composable_kernel'
2025-12-04T08:54:21.1141495Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/aiter/modules/3rdparty/composable_kernel/config	remote.origin.url
2025-12-04T08:54:21.1157372Z Entering 'third_party/benchmark'
2025-12-04T08:54:21.1194519Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/benchmark/config	remote.origin.url
2025-12-04T08:54:21.1207507Z Entering 'third_party/composable_kernel'
2025-12-04T08:54:21.1233389Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/composable_kernel/config	remote.origin.url
2025-12-04T08:54:21.1247181Z Entering 'third_party/cpp-httplib'
2025-12-04T08:54:21.1270092Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/cpp-httplib/config	remote.origin.url
2025-12-04T08:54:21.1280697Z Entering 'third_party/cpuinfo'
2025-12-04T08:54:21.1305528Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/cpuinfo/config	remote.origin.url
2025-12-04T08:54:21.1317222Z Entering 'third_party/cudnn_frontend'
2025-12-04T08:54:21.1338594Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/cudnn_frontend/config	remote.origin.url
2025-12-04T08:54:21.1348417Z Entering 'third_party/cutlass'
2025-12-04T08:54:21.1371644Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/cutlass/config	remote.origin.url
2025-12-04T08:54:21.1399232Z Entering 'third_party/fbgemm'
2025-12-04T08:54:21.1430360Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/config	remote.origin.url
2025-12-04T08:54:21.1443385Z Entering 'third_party/fbgemm/external/asmjit'
2025-12-04T08:54:21.1466703Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/asmjit/config	remote.origin.url
2025-12-04T08:54:21.1476776Z Entering 'third_party/fbgemm/external/composable_kernel'
2025-12-04T08:54:21.1509721Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/composable_kernel/config	remote.origin.url
2025-12-04T08:54:21.1527751Z Entering 'third_party/fbgemm/external/cpuinfo'
2025-12-04T08:54:21.1570198Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/cpuinfo/config	remote.origin.url
2025-12-04T08:54:21.1581687Z Entering 'third_party/fbgemm/external/cutlass'
2025-12-04T08:54:21.1601490Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/cutlass/config	remote.origin.url
2025-12-04T08:54:21.1615659Z Entering 'third_party/fbgemm/external/googletest'
2025-12-04T08:54:21.1649163Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/googletest/config	remote.origin.url
2025-12-04T08:54:21.1659429Z Entering 'third_party/fbgemm/external/hipify_torch'
2025-12-04T08:54:21.1679578Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/hipify_torch/config	remote.origin.url
2025-12-04T08:54:21.1690119Z Entering 'third_party/fbgemm/external/json'
2025-12-04T08:54:21.1709386Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/json/config	remote.origin.url
2025-12-04T08:54:21.1722165Z Entering 'third_party/flash-attention'
2025-12-04T08:54:21.1743983Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/flash-attention/config	remote.origin.url
2025-12-04T08:54:21.1766978Z Entering 'third_party/flash-attention/csrc/composable_kernel'
2025-12-04T08:54:21.1803971Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/flash-attention/modules/csrc/composable_kernel/config	remote.origin.url
2025-12-04T08:54:21.1816324Z Entering 'third_party/flash-attention/csrc/cutlass'
2025-12-04T08:54:21.1841576Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/flash-attention/modules/csrc/cutlass/config	remote.origin.url
2025-12-04T08:54:21.1856824Z Entering 'third_party/flatbuffers'
2025-12-04T08:54:21.1898452Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/flatbuffers/config	remote.origin.url
2025-12-04T08:54:21.1911350Z Entering 'third_party/fmt'
2025-12-04T08:54:21.1933510Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/fmt/config	remote.origin.url
2025-12-04T08:54:21.1950060Z Entering 'third_party/gemmlowp/gemmlowp'
2025-12-04T08:54:21.1998717Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/gemmlowp/gemmlowp/config	remote.origin.url
2025-12-04T08:54:21.2010975Z Entering 'third_party/gloo'
2025-12-04T08:54:21.2040770Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/gloo/config	remote.origin.url
2025-12-04T08:54:21.2051983Z Entering 'third_party/googletest'
2025-12-04T08:54:21.2077868Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/googletest/config	remote.origin.url
2025-12-04T08:54:21.2087978Z Entering 'third_party/ideep'
2025-12-04T08:54:21.2130217Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/ideep/config	remote.origin.url
2025-12-04T08:54:21.2146750Z Entering 'third_party/ideep/mkl-dnn'
2025-12-04T08:54:21.2200082Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/ideep/modules/mkl-dnn/config	remote.origin.url
2025-12-04T08:54:21.2229922Z Entering 'third_party/ittapi'
2025-12-04T08:54:21.2258223Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/ittapi/config	remote.origin.url
2025-12-04T08:54:21.2277168Z Entering 'third_party/kineto'
2025-12-04T08:54:21.2312103Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/config	remote.origin.url
2025-12-04T08:54:21.2325307Z Entering 'third_party/kineto/libkineto/third_party/dynolog'
2025-12-04T08:54:21.2356118Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/config	remote.origin.url
2025-12-04T08:54:21.2367320Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-12-04T08:54:21.2389488Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/DCGM/config	remote.origin.url
2025-12-04T08:54:21.2400612Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-12-04T08:54:21.2441365Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/cpr/config	remote.origin.url
2025-12-04T08:54:21.2463533Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-12-04T08:54:21.2483188Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/fmt/config	remote.origin.url
2025-12-04T08:54:21.2504547Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-12-04T08:54:21.2535239Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/gflags/config	remote.origin.url
2025-12-04T08:54:21.2544719Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-12-04T08:54:21.2581480Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/gflags/modules/doc/config	remote.origin.url
2025-12-04T08:54:21.2604305Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-12-04T08:54:21.2644048Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/glog/config	remote.origin.url
2025-12-04T08:54:21.2654641Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-12-04T08:54:21.2699391Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/googletest/config	remote.origin.url
2025-12-04T08:54:21.2710105Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
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2025-12-04T08:54:21.4477979Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/pybind11/modules/tools/clang/config	remote.origin.url
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2025-12-04T08:54:21.8965517Z Entering 'third_party/googletest'
2025-12-04T08:54:21.8993066Z Entering 'third_party/ideep'
2025-12-04T08:54:21.9028925Z Entering 'third_party/ideep/mkl-dnn'
2025-12-04T08:54:21.9085118Z Entering 'third_party/ittapi'
2025-12-04T08:54:21.9118867Z Entering 'third_party/kineto'
2025-12-04T08:54:21.9156159Z Entering 'third_party/kineto/libkineto/third_party/dynolog'
2025-12-04T08:54:21.9196592Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-12-04T08:54:21.9232739Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-12-04T08:54:21.9268990Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-12-04T08:54:21.9306612Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-12-04T08:54:21.9330253Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-12-04T08:54:21.9367818Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-12-04T08:54:21.9390128Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-12-04T08:54:21.9413313Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-12-04T08:54:21.9437942Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-12-04T08:54:21.9462249Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp'
2025-12-04T08:54:21.9498987Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb'
2025-12-04T08:54:21.9545800Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest'
2025-12-04T08:54:21.9579566Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2025-12-04T08:54:21.9603231Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2025-12-04T08:54:21.9650084Z Entering 'third_party/kleidiai'
2025-12-04T08:54:21.9676321Z Entering 'third_party/mimalloc'
2025-12-04T08:54:21.9720105Z Entering 'third_party/nlohmann'
2025-12-04T08:54:21.9763261Z Entering 'third_party/onnx'
2025-12-04T08:54:21.9793402Z Entering 'third_party/onnx/third_party/pybind11'
2025-12-04T08:54:21.9834754Z Entering 'third_party/opentelemetry-cpp'
2025-12-04T08:54:21.9870407Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-12-04T08:54:21.9894478Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-12-04T08:54:21.9927701Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-12-04T08:54:21.9951202Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-12-04T08:54:21.9988225Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-12-04T08:54:22.0013218Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-12-04T08:54:22.0040931Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-12-04T08:54:22.0063158Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-12-04T08:54:22.0086485Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-12-04T08:54:22.0114090Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-12-04T08:54:22.0148648Z Entering 'third_party/pocketfft'
2025-12-04T08:54:22.0174310Z Entering 'third_party/protobuf'
2025-12-04T08:54:22.0205662Z Entering 'third_party/protobuf/third_party/benchmark'
2025-12-04T08:54:22.0241803Z Entering 'third_party/protobuf/third_party/googletest'
2025-12-04T08:54:22.0280323Z Entering 'third_party/psimd'
2025-12-04T08:54:22.0318758Z Entering 'third_party/pthreadpool'
2025-12-04T08:54:22.0364726Z Entering 'third_party/pybind11'
2025-12-04T08:54:22.0402918Z Entering 'third_party/python-peachpy'
2025-12-04T08:54:22.0434732Z Entering 'third_party/sleef'
2025-12-04T08:54:22.0468957Z Entering 'third_party/tensorpipe'
2025-12-04T08:54:22.0523239Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-12-04T08:54:22.0548995Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-12-04T08:54:22.0579984Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-12-04T08:54:22.0608300Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-12-04T08:54:22.0628658Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-12-04T08:54:22.0673512Z ##[endgroup]
2025-12-04T08:54:22.0847741Z [command]/usr/bin/git log -1 --format=%H
2025-12-04T08:54:22.0941673Z ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T08:54:22.1185061Z Prepare all required actions
2025-12-04T08:54:22.1185783Z Getting action download info
2025-12-04T08:54:22.3622860Z Download action repository 'aws-actions/amazon-ecr-login@062b18b96a7aff071d4dc91bc00c4c1a7945b076' (SHA:062b18b96a7aff071d4dc91bc00c4c1a7945b076)
2025-12-04T08:54:23.2970866Z ##[group]Run ./.github/actions/setup-rocm
2025-12-04T08:54:23.2971013Z env:
2025-12-04T08:54:23.2971098Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:54:23.2971203Z ##[endgroup]
2025-12-04T08:54:23.2984591Z ##[group]Run dpkg -l | grep -E "  rocm"
2025-12-04T08:54:23.2984752Z dpkg -l | grep -E "  rocm"
2025-12-04T08:54:23.2988845Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T08:54:23.2989007Z env:
2025-12-04T08:54:23.2989094Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:54:23.2989202Z ##[endgroup]
2025-12-04T08:54:23.3058896Z ii  rocm-cmake                   0.14.0.60401-83~22.04                   amd64        rocm-cmake built using CMake
2025-12-04T08:54:23.3060326Z ii  rocm-core                    6.4.1.60401-83~22.04                    amd64        ROCm Runtime software stack
2025-12-04T08:54:23.3061410Z ii  rocm-dbgapi                  0.77.2.60401-83~22.04                   amd64        Library to provide AMD GPU debugger API
2025-12-04T08:54:23.3062437Z ii  rocm-debug-agent             2.0.4.60401-83~22.04                    amd64        Radeon Open Compute Debug Agent (ROCdebug-agent)
2025-12-04T08:54:23.3063418Z ii  rocm-dev                     6.4.1.60401-83~22.04                    amd64        Radeon Open Compute (ROCm) Runtime software stack
2025-12-04T08:54:23.3064361Z ii  rocm-device-libs             1.0.0.60401-83~22.04                    amd64        Radeon Open Compute - device libraries
2025-12-04T08:54:23.3065183Z ii  rocm-gdb                     15.2.60401-83~22.04                     amd64        ROCgdb
2025-12-04T08:54:23.3065931Z ii  rocm-llvm                    19.0.0.25184.60401-83~22.04             amd64        ROCm core compiler
2025-12-04T08:54:23.3066745Z ii  rocm-opencl                  2.0.0.60401-83~22.04                    amd64        clr built using CMake
2025-12-04T08:54:23.3067559Z ii  rocm-opencl-dev              2.0.0.60401-83~22.04                    amd64        clr built using CMake
2025-12-04T08:54:23.3068462Z ii  rocm-smi-lib                 7.5.0.60401-83~22.04                    amd64        AMD System Management libraries
2025-12-04T08:54:23.3069343Z ii  rocm-utils                   6.4.1.60401-83~22.04                    amd64        Radeon Open Compute (ROCm) Runtime software stack
2025-12-04T08:54:23.3070273Z ii  rocminfo                     1.0.0.60401-83~22.04                    amd64        Radeon Open Compute (ROCm) Runtime rocminfo tool
2025-12-04T08:54:23.3100520Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty
2025-12-04T08:54:23.3101437Z # ignore expansion of "docker ps -q" since it could be empty
2025-12-04T08:54:23.3102053Z # shellcheck disable=SC2046
2025-12-04T08:54:23.3102511Z docker stop $(docker ps -q) || true
2025-12-04T08:54:23.3102976Z # Prune all stopped containers.
2025-12-04T08:54:23.3103453Z docker container prune -f
2025-12-04T08:54:23.3113292Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T08:54:23.3113811Z env:
2025-12-04T08:54:23.3114088Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:54:23.3114429Z ##[endgroup]
2025-12-04T08:54:23.3324777Z docker: 'docker stop' requires at least 1 argument
2025-12-04T08:54:23.3325208Z 
2025-12-04T08:54:23.3325430Z Usage:  docker stop [OPTIONS] CONTAINER [CONTAINER...]
2025-12-04T08:54:23.3325804Z 
2025-12-04T08:54:23.3325982Z See 'docker stop --help' for more information
2025-12-04T08:54:23.3418649Z Total reclaimed space: 0B
2025-12-04T08:54:23.3445935Z ##[group]Run cat /etc/os-release || true
2025-12-04T08:54:23.3446136Z cat /etc/os-release || true
2025-12-04T08:54:23.3446315Z cat /etc/apt/sources.list.d/rocm.list || true
2025-12-04T08:54:23.3446649Z cat /opt/rocm/.info/version || true
2025-12-04T08:54:23.3446785Z whoami
2025-12-04T08:54:23.3451430Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T08:54:23.3451597Z env:
2025-12-04T08:54:23.3451682Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:54:23.3451788Z ##[endgroup]
2025-12-04T08:54:23.3470998Z PRETTY_NAME="Ubuntu 22.04.5 LTS"
2025-12-04T08:54:23.3471119Z NAME="Ubuntu"
2025-12-04T08:54:23.3471214Z VERSION_ID="22.04"
2025-12-04T08:54:23.3471386Z VERSION="22.04.5 LTS (Jammy Jellyfish)"
2025-12-04T08:54:23.3471514Z VERSION_CODENAME=jammy
2025-12-04T08:54:23.3471622Z ID=ubuntu
2025-12-04T08:54:23.3471706Z ID_LIKE=debian
2025-12-04T08:54:23.3471831Z HOME_URL="https://www.ubuntu.com/"
2025-12-04T08:54:23.3471970Z SUPPORT_URL="https://help.ubuntu.com/"
2025-12-04T08:54:23.3472130Z BUG_REPORT_URL="https://bugs.launchpad.net/ubuntu/"
2025-12-04T08:54:23.3472373Z PRIVACY_POLICY_URL="https://www.ubuntu.com/legal/terms-and-policies/privacy-policy"
2025-12-04T08:54:23.3472742Z UBUNTU_CODENAME=jammy
2025-12-04T08:54:23.3478670Z deb [arch=amd64 signed-by=/etc/apt/keyrings/rocm.gpg] https://repo.radeon.com/rocm/apt/6.4.1 jammy main
2025-12-04T08:54:23.3484588Z 6.4.1-83
2025-12-04T08:54:23.3490452Z runner
2025-12-04T08:54:23.3523574Z ##[group]Run dpkg -l | grep -E "  amdgpu"
2025-12-04T08:54:23.3524125Z dpkg -l | grep -E "  amdgpu"
2025-12-04T08:54:23.3534882Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T08:54:23.3535416Z env:
2025-12-04T08:54:23.3535691Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:54:23.3536037Z ##[endgroup]
2025-12-04T08:54:23.3597958Z ii  amdgpu-core                  1:6.4.60401-2164967.22.04               all          Core meta package for unified amdgpu driver.
2025-12-04T08:54:23.3598353Z ii  amdgpu-install               6.4.60401-2164967.22.04                 all          AMDGPU driver repository and installer
2025-12-04T08:54:23.3622743Z ##[group]Run rocm-smi
2025-12-04T08:54:23.3623010Z rocm-smi
2025-12-04T08:54:23.3630357Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T08:54:23.3630700Z env:
2025-12-04T08:54:23.3630884Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:54:23.3631102Z ##[endgroup]
2025-12-04T08:54:23.4197355Z 
2025-12-04T08:54:23.4197362Z 
2025-12-04T08:54:23.4197696Z =========================================== ROCm System Management Interface ===========================================
2025-12-04T08:54:23.4198382Z ===================================================== Concise Info =====================================================
2025-12-04T08:54:23.4198944Z Device  Node  IDs              Temp        Power     Partitions          SCLK  MCLK    Fan  Perf  PwrCap   VRAM%  GPU%  
2025-12-04T08:54:23.4199951Z               (DID,     GUID)  (Junction)  (Socket)  (Mem, Compute, ID)                                                 
2025-12-04T08:54:23.4200710Z ========================================================================================================================
2025-12-04T08:54:23.4201976Z 0       3     0x74a5,   51110  26.0°C      125.0W    NPS1, SPX, 0        N/A   900Mhz  0%   auto  1000.0W  0%     0%    
2025-12-04T08:54:23.4202713Z ========================================================================================================================
2025-12-04T08:54:23.4203343Z ================================================= End of ROCm SMI Log ==================================================
2025-12-04T08:54:23.4277208Z ##[group]Run rocminfo
2025-12-04T08:54:23.4277590Z rocminfo
2025-12-04T08:54:23.4287841Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T08:54:23.4288447Z env:
2025-12-04T08:54:23.4288727Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:54:23.4289076Z ##[endgroup]
2025-12-04T08:54:23.4836219Z ROCk module version 6.12.12 is loaded
2025-12-04T08:54:23.4836392Z =====================    
2025-12-04T08:54:23.4836524Z HSA System Attributes    
2025-12-04T08:54:23.4836636Z =====================    
2025-12-04T08:54:23.4836922Z Runtime Version:         1.15
2025-12-04T08:54:23.4837039Z Runtime Ext Version:     1.7
2025-12-04T08:54:23.4837183Z System Timestamp Freq.:  1000.000000MHz
2025-12-04T08:54:23.4837396Z Sig. Max Wait Duration:  18446744073709551615 (0xFFFFFFFFFFFFFFFF) (timestamp count)
2025-12-04T08:54:23.4837696Z Machine Model:           LARGE                              
2025-12-04T08:54:23.4837887Z System Endianness:       LITTLE                             
2025-12-04T08:54:23.4838057Z Mwaitx:                  DISABLED
2025-12-04T08:54:23.4838213Z XNACK enabled:           NO
2025-12-04T08:54:23.4838332Z DMAbuf Support:          YES
2025-12-04T08:54:23.4838443Z VMM Support:             YES
2025-12-04T08:54:23.4838526Z 
2025-12-04T08:54:23.4838564Z ==========               
2025-12-04T08:54:23.4838675Z HSA Agents               
2025-12-04T08:54:23.4838777Z ==========               
2025-12-04T08:54:23.4838882Z *******                  
2025-12-04T08:54:23.4839110Z Agent 1                  
2025-12-04T08:54:23.4839218Z *******                  
2025-12-04T08:54:23.4839348Z   Name:                    AMD EPYC 9575F 64-Core Processor   
2025-12-04T08:54:23.4839554Z   Uuid:                    CPU-XX                             
2025-12-04T08:54:23.4839734Z   Marketing Name:          AMD EPYC 9575F 64-Core Processor   
2025-12-04T08:54:23.4839923Z   Vendor Name:             CPU                                
2025-12-04T08:54:23.4840095Z   Feature:                 None specified                     
2025-12-04T08:54:23.4840277Z   Profile:                 FULL_PROFILE                       
2025-12-04T08:54:23.4840453Z   Float Round Mode:        NEAR                               
2025-12-04T08:54:23.4840638Z   Max Queue Number:        0(0x0)                             
2025-12-04T08:54:23.4840817Z   Queue Min Size:          0(0x0)                             
2025-12-04T08:54:23.4840984Z   Queue Max Size:          0(0x0)                             
2025-12-04T08:54:23.4841162Z   Queue Type:              MULTI                              
2025-12-04T08:54:23.4841326Z   Node:                    0                                  
2025-12-04T08:54:23.4841486Z   Device Type:             CPU                                
2025-12-04T08:54:23.4841642Z   Cache Info:              
2025-12-04T08:54:23.4841768Z     L1:                      49152(0xc000) KB                   
2025-12-04T08:54:23.4841937Z   Chip ID:                 0(0x0)                             
2025-12-04T08:54:23.4842117Z   ASIC Revision:           0(0x0)                             
2025-12-04T08:54:23.4842305Z   Cacheline Size:          64(0x40)                           
2025-12-04T08:54:23.4842498Z   Max Clock Freq. (MHz):   3300                               
2025-12-04T08:54:23.4842669Z   BDFID:                   0                                  
2025-12-04T08:54:23.4842849Z   Internal Node ID:        0                                  
2025-12-04T08:54:23.4843033Z   Compute Unit:            64                                 
2025-12-04T08:54:23.4843208Z   SIMDs per CU:            0                                  
2025-12-04T08:54:23.4843385Z   Shader Engines:          0                                  
2025-12-04T08:54:23.4843569Z   Shader Arrs. per Eng.:   0                                  
2025-12-04T08:54:23.4843755Z   WatchPts on Addr. Ranges:1                                  
2025-12-04T08:54:23.4843920Z   Memory Properties:       
2025-12-04T08:54:23.4844047Z   Features:                None
2025-12-04T08:54:23.4844167Z   Pool Info:               
2025-12-04T08:54:23.4844288Z     Pool 1                   
2025-12-04T08:54:23.4844441Z       Segment:                 GLOBAL; FLAGS: FINE GRAINED        
2025-12-04T08:54:23.4844622Z       Size:                    1584733356(0x5e751cac) KB          
2025-12-04T08:54:23.4844800Z       Allocatable:             TRUE                               
2025-12-04T08:54:23.4844979Z       Alloc Granule:           4KB                                
2025-12-04T08:54:23.4845250Z       Alloc Recommended Granule:4KB                                
2025-12-04T08:54:23.4845443Z       Alloc Alignment:         4KB                                
2025-12-04T08:54:23.4845628Z       Accessible by all:       TRUE                               
2025-12-04T08:54:23.4845790Z     Pool 2                   
2025-12-04T08:54:23.4845943Z       Segment:                 GLOBAL; FLAGS: EXTENDED FINE GRAINED
2025-12-04T08:54:23.4846128Z       Size:                    1584733356(0x5e751cac) KB          
2025-12-04T08:54:23.4846298Z       Allocatable:             TRUE                               
2025-12-04T08:54:23.4846475Z       Alloc Granule:           4KB                                
2025-12-04T08:54:23.4846671Z       Alloc Recommended Granule:4KB                                
2025-12-04T08:54:23.4846934Z       Alloc Alignment:         4KB                                
2025-12-04T08:54:23.4847127Z       Accessible by all:       TRUE                               
2025-12-04T08:54:23.4847324Z     Pool 3                   
2025-12-04T08:54:23.4847468Z       Segment:                 GLOBAL; FLAGS: KERNARG, FINE GRAINED
2025-12-04T08:54:23.4847642Z       Size:                    1584733356(0x5e751cac) KB          
2025-12-04T08:54:23.4847809Z       Allocatable:             TRUE                               
2025-12-04T08:54:23.4847991Z       Alloc Granule:           4KB                                
2025-12-04T08:54:23.4848259Z       Alloc Recommended Granule:4KB                                
2025-12-04T08:54:23.4848446Z       Alloc Alignment:         4KB                                
2025-12-04T08:54:23.4848633Z       Accessible by all:       TRUE                               
2025-12-04T08:54:23.4848787Z     Pool 4                   
2025-12-04T08:54:23.4848919Z       Segment:                 GLOBAL; FLAGS: COARSE GRAINED      
2025-12-04T08:54:23.4849083Z       Size:                    1584733356(0x5e751cac) KB          
2025-12-04T08:54:23.4849250Z       Allocatable:             TRUE                               
2025-12-04T08:54:23.4849433Z       Alloc Granule:           4KB                                
2025-12-04T08:54:23.4849619Z       Alloc Recommended Granule:4KB                                
2025-12-04T08:54:23.4849808Z       Alloc Alignment:         4KB                                
2025-12-04T08:54:23.4850004Z       Accessible by all:       TRUE                               
2025-12-04T08:54:23.4850175Z   ISA Info:                
2025-12-04T08:54:23.4850286Z *******                  
2025-12-04T08:54:23.4850391Z Agent 2                  
2025-12-04T08:54:23.4850492Z *******                  
2025-12-04T08:54:23.4850620Z   Name:                    AMD EPYC 9575F 64-Core Processor   
2025-12-04T08:54:23.4850790Z   Uuid:                    CPU-XX                             
2025-12-04T08:54:23.4850961Z   Marketing Name:          AMD EPYC 9575F 64-Core Processor   
2025-12-04T08:54:23.4851142Z   Vendor Name:             CPU                                
2025-12-04T08:54:23.4851319Z   Feature:                 None specified                     
2025-12-04T08:54:23.4851484Z   Profile:                 FULL_PROFILE                       
2025-12-04T08:54:23.4851659Z   Float Round Mode:        NEAR                               
2025-12-04T08:54:23.4851832Z   Max Queue Number:        0(0x0)                             
2025-12-04T08:54:23.4852003Z   Queue Min Size:          0(0x0)                             
2025-12-04T08:54:23.4852173Z   Queue Max Size:          0(0x0)                             
2025-12-04T08:54:23.4852340Z   Queue Type:              MULTI                              
2025-12-04T08:54:23.4852498Z   Node:                    1                                  
2025-12-04T08:54:23.4852659Z   Device Type:             CPU                                
2025-12-04T08:54:23.4852804Z   Cache Info:              
2025-12-04T08:54:23.4852927Z     L1:                      49152(0xc000) KB                   
2025-12-04T08:54:23.4853083Z   Chip ID:                 0(0x0)                             
2025-12-04T08:54:23.4853306Z   ASIC Revision:           0(0x0)                             
2025-12-04T08:54:23.4853481Z   Cacheline Size:          64(0x40)                           
2025-12-04T08:54:23.4853655Z   Max Clock Freq. (MHz):   3300                               
2025-12-04T08:54:23.4853816Z   BDFID:                   0                                  
2025-12-04T08:54:23.4853979Z   Internal Node ID:        1                                  
2025-12-04T08:54:23.4854153Z   Compute Unit:            64                                 
2025-12-04T08:54:23.4854321Z   SIMDs per CU:            0                                  
2025-12-04T08:54:23.4854490Z   Shader Engines:          0                                  
2025-12-04T08:54:23.4854667Z   Shader Arrs. per Eng.:   0                                  
2025-12-04T08:54:23.4854860Z   WatchPts on Addr. Ranges:1                                  
2025-12-04T08:54:23.4855050Z   Memory Properties:       
2025-12-04T08:54:23.4855164Z   Features:                None
2025-12-04T08:54:23.4855276Z   Pool Info:               
2025-12-04T08:54:23.4855380Z     Pool 1                   
2025-12-04T08:54:23.4855518Z       Segment:                 GLOBAL; FLAGS: FINE GRAINED        
2025-12-04T08:54:23.4855684Z       Size:                    1585355616(0x5e7e9b60) KB          
2025-12-04T08:54:23.4855857Z       Allocatable:             TRUE                               
2025-12-04T08:54:23.4856038Z       Alloc Granule:           4KB                                
2025-12-04T08:54:23.4856225Z       Alloc Recommended Granule:4KB                                
2025-12-04T08:54:23.4856413Z       Alloc Alignment:         4KB                                
2025-12-04T08:54:23.4856595Z       Accessible by all:       TRUE                               
2025-12-04T08:54:23.4856747Z     Pool 2                   
2025-12-04T08:54:23.4856892Z       Segment:                 GLOBAL; FLAGS: EXTENDED FINE GRAINED
2025-12-04T08:54:23.4857071Z       Size:                    1585355616(0x5e7e9b60) KB          
2025-12-04T08:54:23.4857246Z       Allocatable:             TRUE                               
2025-12-04T08:54:23.4857426Z       Alloc Granule:           4KB                                
2025-12-04T08:54:23.4857609Z       Alloc Recommended Granule:4KB                                
2025-12-04T08:54:23.4857799Z       Alloc Alignment:         4KB                                
2025-12-04T08:54:23.4857981Z       Accessible by all:       TRUE                               
2025-12-04T08:54:23.4858186Z     Pool 3                   
2025-12-04T08:54:23.4858332Z       Segment:                 GLOBAL; FLAGS: KERNARG, FINE GRAINED
2025-12-04T08:54:23.4858497Z       Size:                    1585355616(0x5e7e9b60) KB          
2025-12-04T08:54:23.4858662Z       Allocatable:             TRUE                               
2025-12-04T08:54:23.4858842Z       Alloc Granule:           4KB                                
2025-12-04T08:54:23.4859029Z       Alloc Recommended Granule:4KB                                
2025-12-04T08:54:23.4859216Z       Alloc Alignment:         4KB                                
2025-12-04T08:54:23.4859401Z       Accessible by all:       TRUE                               
2025-12-04T08:54:23.4859556Z     Pool 4                   
2025-12-04T08:54:23.4859691Z       Segment:                 GLOBAL; FLAGS: COARSE GRAINED      
2025-12-04T08:54:23.4859856Z       Size:                    1585355616(0x5e7e9b60) KB          
2025-12-04T08:54:23.4860021Z       Allocatable:             TRUE                               
2025-12-04T08:54:23.4860199Z       Alloc Granule:           4KB                                
2025-12-04T08:54:23.4860385Z       Alloc Recommended Granule:4KB                                
2025-12-04T08:54:23.4860572Z       Alloc Alignment:         4KB                                
2025-12-04T08:54:23.4860755Z       Accessible by all:       TRUE                               
2025-12-04T08:54:23.4860909Z   ISA Info:                
2025-12-04T08:54:23.4861078Z *******                  
2025-12-04T08:54:23.4861182Z Agent 3                  
2025-12-04T08:54:23.4861283Z *******                  
2025-12-04T08:54:23.4861403Z   Name:                    gfx942                             
2025-12-04T08:54:23.4861565Z   Uuid:                    GPU-135ea223c25f66c8               
2025-12-04T08:54:23.4861747Z   Marketing Name:          AMD Instinct MI325X                
2025-12-04T08:54:23.4861925Z   Vendor Name:             AMD                                
2025-12-04T08:54:23.4862093Z   Feature:                 KERNEL_DISPATCH                    
2025-12-04T08:54:23.4862262Z   Profile:                 BASE_PROFILE                       
2025-12-04T08:54:23.4862435Z   Float Round Mode:        NEAR                               
2025-12-04T08:54:23.4862608Z   Max Queue Number:        128(0x80)                          
2025-12-04T08:54:23.4862778Z   Queue Min Size:          64(0x40)                           
2025-12-04T08:54:23.4862984Z   Queue Max Size:          131072(0x20000)                    
2025-12-04T08:54:23.4863164Z   Queue Type:              MULTI                              
2025-12-04T08:54:23.4863323Z   Node:                    2                                  
2025-12-04T08:54:23.4863481Z   Device Type:             GPU                                
2025-12-04T08:54:23.4863630Z   Cache Info:              
2025-12-04T08:54:23.4863748Z     L1:                      32(0x20) KB                        
2025-12-04T08:54:23.4863889Z     L2:                      4096(0x1000) KB                    
2025-12-04T08:54:23.4864032Z     L3:                      262144(0x40000) KB                 
2025-12-04T08:54:23.4864182Z   Chip ID:                 29861(0x74a5)                      
2025-12-04T08:54:23.4864345Z   ASIC Revision:           1(0x1)                             
2025-12-04T08:54:23.4864522Z   Cacheline Size:          128(0x80)                          
2025-12-04T08:54:23.4864695Z   Max Clock Freq. (MHz):   2100                               
2025-12-04T08:54:23.4864860Z   BDFID:                   1280                               
2025-12-04T08:54:23.4865027Z   Internal Node ID:        2                                  
2025-12-04T08:54:23.4865198Z   Compute Unit:            304                                
2025-12-04T08:54:23.4865365Z   SIMDs per CU:            4                                  
2025-12-04T08:54:23.4865539Z   Shader Engines:          32                                 
2025-12-04T08:54:23.4865713Z   Shader Arrs. per Eng.:   1                                  
2025-12-04T08:54:23.4865893Z   WatchPts on Addr. Ranges:4                                  
2025-12-04T08:54:23.4866075Z   Coherent Host Access:    FALSE                              
2025-12-04T08:54:23.4877668Z   Memory Properties:       
2025-12-04T08:54:23.4877823Z   Features:                KERNEL_DISPATCH 
2025-12-04T08:54:23.4878006Z   Fast F16 Operation:      TRUE                               
2025-12-04T08:54:23.4878263Z   Wavefront Size:          64(0x40)                           
2025-12-04T08:54:23.4878571Z   Workgroup Max Size:      1024(0x400)                        
2025-12-04T08:54:23.4878745Z   Workgroup Max Size per Dimension:
2025-12-04T08:54:23.4878880Z     x                        1024(0x400)                        
2025-12-04T08:54:23.4879025Z     y                        1024(0x400)                        
2025-12-04T08:54:23.4879166Z     z                        1024(0x400)                        
2025-12-04T08:54:23.4879331Z   Max Waves Per CU:        32(0x20)                           
2025-12-04T08:54:23.4879507Z   Max Work-item Per CU:    2048(0x800)                        
2025-12-04T08:54:23.4879687Z   Grid Max Size:           4294967295(0xffffffff)             
2025-12-04T08:54:23.4879841Z   Grid Max Size per Dimension:
2025-12-04T08:54:23.4879960Z     x                        4294967295(0xffffffff)             
2025-12-04T08:54:23.4880103Z     y                        4294967295(0xffffffff)             
2025-12-04T08:54:23.4880336Z     z                        4294967295(0xffffffff)             
2025-12-04T08:54:23.4880501Z   Max fbarriers/Workgrp:   32                                 
2025-12-04T08:54:23.4885045Z   Packet Processor uCode:: 185                                
2025-12-04T08:54:23.4885258Z   SDMA engine uCode::      24                                 
2025-12-04T08:54:23.4885440Z   IOMMU Support::          None                               
2025-12-04T08:54:23.4885603Z   Pool Info:               
2025-12-04T08:54:23.4885713Z     Pool 1                   
2025-12-04T08:54:23.4885856Z       Segment:                 GLOBAL; FLAGS: COARSE GRAINED      
2025-12-04T08:54:23.4886029Z       Size:                    268419072(0xfffc000) KB            
2025-12-04T08:54:23.4886199Z       Allocatable:             TRUE                               
2025-12-04T08:54:23.4886381Z       Alloc Granule:           4KB                                
2025-12-04T08:54:23.4886650Z       Alloc Recommended Granule:2048KB                             
2025-12-04T08:54:23.4886843Z       Alloc Alignment:         4KB                                
2025-12-04T08:54:23.4887030Z       Accessible by all:       FALSE                              
2025-12-04T08:54:23.4887186Z     Pool 2                   
2025-12-04T08:54:23.4887327Z       Segment:                 GLOBAL; FLAGS: EXTENDED FINE GRAINED
2025-12-04T08:54:23.4887498Z       Size:                    268419072(0xfffc000) KB            
2025-12-04T08:54:23.4887666Z       Allocatable:             TRUE                               
2025-12-04T08:54:23.4887846Z       Alloc Granule:           4KB                                
2025-12-04T08:54:23.4888032Z       Alloc Recommended Granule:2048KB                             
2025-12-04T08:54:23.4888285Z       Alloc Alignment:         4KB                                
2025-12-04T08:54:23.4888471Z       Accessible by all:       FALSE                              
2025-12-04T08:54:23.4888629Z     Pool 3                   
2025-12-04T08:54:23.4888767Z       Segment:                 GLOBAL; FLAGS: FINE GRAINED        
2025-12-04T08:54:23.4888932Z       Size:                    268419072(0xfffc000) KB            
2025-12-04T08:54:23.4889097Z       Allocatable:             TRUE                               
2025-12-04T08:54:23.4889276Z       Alloc Granule:           4KB                                
2025-12-04T08:54:23.4889462Z       Alloc Recommended Granule:2048KB                             
2025-12-04T08:54:23.4889649Z       Alloc Alignment:         4KB                                
2025-12-04T08:54:23.4889834Z       Accessible by all:       FALSE                              
2025-12-04T08:54:23.4889988Z     Pool 4                   
2025-12-04T08:54:23.4890123Z       Segment:                 GROUP                              
2025-12-04T08:54:23.4890286Z       Size:                    64(0x40) KB                        
2025-12-04T08:54:23.4890463Z       Allocatable:             FALSE                              
2025-12-04T08:54:23.4890648Z       Alloc Granule:           0KB                                
2025-12-04T08:54:23.4890839Z       Alloc Recommended Granule:0KB                                
2025-12-04T08:54:23.4891028Z       Alloc Alignment:         0KB                                
2025-12-04T08:54:23.4891223Z       Accessible by all:       FALSE                              
2025-12-04T08:54:23.4891390Z   ISA Info:                
2025-12-04T08:54:23.4891496Z     ISA 1                    
2025-12-04T08:54:23.4891640Z       Name:                    amdgcn-amd-amdhsa--gfx942:sramecc+:xnack-
2025-12-04T08:54:23.4891839Z       Machine Models:          HSA_MACHINE_MODEL_LARGE            
2025-12-04T08:54:23.4892036Z       Profiles:                HSA_PROFILE_BASE                   
2025-12-04T08:54:23.4892232Z       Default Rounding Mode:   NEAR                               
2025-12-04T08:54:23.4892434Z       Default Rounding Mode:   NEAR                               
2025-12-04T08:54:23.4892670Z       Fast f16:                TRUE                               
2025-12-04T08:54:23.4892849Z       Workgroup Max Size:      1024(0x400)                        
2025-12-04T08:54:23.4893012Z       Workgroup Max Size per Dimension:
2025-12-04T08:54:23.4893153Z         x                        1024(0x400)                        
2025-12-04T08:54:23.4893299Z         y                        1024(0x400)                        
2025-12-04T08:54:23.4893445Z         z                        1024(0x400)                        
2025-12-04T08:54:23.4893604Z       Grid Max Size:           4294967295(0xffffffff)             
2025-12-04T08:54:23.4893758Z       Grid Max Size per Dimension:
2025-12-04T08:54:23.4893887Z         x                        4294967295(0xffffffff)             
2025-12-04T08:54:23.4894038Z         y                        4294967295(0xffffffff)             
2025-12-04T08:54:23.4894179Z         z                        4294967295(0xffffffff)             
2025-12-04T08:54:23.4894377Z       FBarrier Max Size:       32                                 
2025-12-04T08:54:23.4894529Z     ISA 2                    
2025-12-04T08:54:23.4894678Z       Name:                    amdgcn-amd-amdhsa--gfx9-4-generic:sramecc+:xnack-
2025-12-04T08:54:23.4894879Z       Machine Models:          HSA_MACHINE_MODEL_LARGE            
2025-12-04T08:54:23.4895066Z       Profiles:                HSA_PROFILE_BASE                   
2025-12-04T08:54:23.4895263Z       Default Rounding Mode:   NEAR                               
2025-12-04T08:54:23.4895467Z       Default Rounding Mode:   NEAR                               
2025-12-04T08:54:23.4895652Z       Fast f16:                TRUE                               
2025-12-04T08:54:23.4895836Z       Workgroup Max Size:      1024(0x400)                        
2025-12-04T08:54:23.4895999Z       Workgroup Max Size per Dimension:
2025-12-04T08:54:23.4896134Z         x                        1024(0x400)                        
2025-12-04T08:54:23.4896274Z         y                        1024(0x400)                        
2025-12-04T08:54:23.4896412Z         z                        1024(0x400)                        
2025-12-04T08:54:23.4896568Z       Grid Max Size:           4294967295(0xffffffff)             
2025-12-04T08:54:23.4896720Z       Grid Max Size per Dimension:
2025-12-04T08:54:23.4896842Z         x                        4294967295(0xffffffff)             
2025-12-04T08:54:23.4896985Z         y                        4294967295(0xffffffff)             
2025-12-04T08:54:23.4897125Z         z                        4294967295(0xffffffff)             
2025-12-04T08:54:23.4897283Z       FBarrier Max Size:       32                                 
2025-12-04T08:54:23.4897434Z *** Done ***             
2025-12-04T08:54:23.4907910Z ##[group]Run ngpu=$(rocminfo | grep -c -E 'Name:.*\sgfx')
2025-12-04T08:54:23.4908183Z ngpu=$(rocminfo | grep -c -E 'Name:.*\sgfx')
2025-12-04T08:54:23.4908545Z msg="Please file an issue on pytorch/pytorch reporting the faulty runner. Include a link to the runner logs so the runner can be identified"
2025-12-04T08:54:23.4908898Z if [[ $ngpu -eq 0 ]]; then
2025-12-04T08:54:23.4909066Z     echo "Error: Failed to detect any GPUs on the runner"
2025-12-04T08:54:23.4909234Z     echo "$msg"
2025-12-04T08:54:23.4909336Z     exit 1
2025-12-04T08:54:23.4909426Z fi
2025-12-04T08:54:23.4912660Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T08:54:23.4912816Z env:
2025-12-04T08:54:23.4912899Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:54:23.4913003Z ##[endgroup]
2025-12-04T08:54:23.5646960Z ##[group]Run pytorch/pytorch/.github/actions/diskspace-cleanup@main
2025-12-04T08:54:23.5647556Z with:
2025-12-04T08:54:23.5647845Z   diskspace-cutoff: 70
2025-12-04T08:54:23.5648290Z env:
2025-12-04T08:54:23.5648571Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:54:23.5648917Z ##[endgroup]
2025-12-04T08:54:23.5698691Z ##[group]Run set -ex
2025-12-04T08:54:23.5699114Z set -ex
2025-12-04T08:54:23.5699430Z diskspace_cutoff=70
2025-12-04T08:54:23.5700158Z docker_root_dir=$(docker info -f '{{.DockerRootDir}}')
2025-12-04T08:54:23.5700740Z if [ ! -d "$docker_root_dir" ]; then
2025-12-04T08:54:23.5701499Z     echo "Docker root directory ($docker_root_dir) does not exist. Skipping disk space check."
2025-12-04T08:54:23.5702214Z     exit 0
2025-12-04T08:54:23.5702525Z fi
2025-12-04T08:54:23.5703173Z diskspace=$(df -H --output=pcent ${docker_root_dir} | sed -n 2p | sed 's/%//' | sed 's/ //')
2025-12-04T08:54:23.5704643Z msg="Please file an issue on pytorch/pytorch reporting the faulty runner. Include a link to the runner logs so the runner can be identified"
2025-12-04T08:54:23.5705902Z if [[ "$diskspace" -ge "$diskspace_cutoff" ]] ; then
2025-12-04T08:54:23.5706474Z     docker system prune -af
2025-12-04T08:54:23.5707201Z     diskspace_new=$(df -H --output=pcent ${docker_root_dir} | sed -n 2p | sed 's/%//' | sed 's/ //')
2025-12-04T08:54:23.5708276Z     if [[ "$diskspace_new" -gt "$diskspace_cutoff" ]] ; then
2025-12-04T08:54:23.5708893Z         diskspace_cutoff_int=$((diskspace_cutoff + 0))
2025-12-04T08:54:23.5709478Z         difference=$((100 - diskspace_cutoff_int))
2025-12-04T08:54:23.5710284Z         echo "Error: Available diskspace is less than $difference percent. Not enough diskspace."
2025-12-04T08:54:23.5711035Z         echo "$msg"
2025-12-04T08:54:23.5711390Z         exit 1
2025-12-04T08:54:23.5711711Z     else
2025-12-04T08:54:23.5712084Z         difference=$((diskspace - diskspace_new))
2025-12-04T08:54:23.5712651Z         echo "Diskspace saved: $difference percent"
2025-12-04T08:54:23.5713118Z     fi
2025-12-04T08:54:23.5713386Z fi
2025-12-04T08:54:23.5722679Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T08:54:23.5723207Z env:
2025-12-04T08:54:23.5723486Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:54:23.5723828Z ##[endgroup]
2025-12-04T08:54:23.5754348Z + diskspace_cutoff=70
2025-12-04T08:54:23.5758711Z ++ docker info -f '{{.DockerRootDir}}'
2025-12-04T08:54:23.6135670Z + docker_root_dir=/home/runner/docker-data
2025-12-04T08:54:23.6136179Z + '[' '!' -d /home/runner/docker-data ']'
2025-12-04T08:54:23.6140679Z ++ df -H --output=pcent /home/runner/docker-data
2025-12-04T08:54:23.6142267Z ++ sed -n 2p
2025-12-04T08:54:23.6142820Z ++ sed 's/ //'
2025-12-04T08:54:23.6143115Z ++ sed s/%//
2025-12-04T08:54:23.6161602Z + diskspace=' 5'
2025-12-04T08:54:23.6162510Z + msg='Please file an issue on pytorch/pytorch reporting the faulty runner. Include a link to the runner logs so the runner can be identified'
2025-12-04T08:54:23.6163745Z + [[  5 -ge 70 ]]
2025-12-04T08:54:23.6199230Z ##[group]Run RUNNER_ARTIFACT_DIR="${RUNNER_TEMP}/artifacts"
2025-12-04T08:54:23.6199893Z RUNNER_ARTIFACT_DIR="${RUNNER_TEMP}/artifacts"
2025-12-04T08:54:23.6200450Z rm -rf "${RUNNER_ARTIFACT_DIR}"
2025-12-04T08:54:23.6200916Z mkdir -p "${RUNNER_ARTIFACT_DIR}"
2025-12-04T08:54:23.6201542Z echo "RUNNER_ARTIFACT_DIR=${RUNNER_ARTIFACT_DIR}" >> "${GITHUB_ENV}"
2025-12-04T08:54:23.6202142Z 
2025-12-04T08:54:23.6202541Z RUNNER_TEST_RESULTS_DIR="${RUNNER_TEMP}/test-results"
2025-12-04T08:54:23.6203116Z rm -rf "${RUNNER_TEST_RESULTS_DIR}"
2025-12-04T08:54:23.6203586Z mkdir -p "${RUNNER_TEST_RESULTS_DIR}"
2025-12-04T08:54:23.6204260Z echo "RUNNER_TEST_RESULTS_DIR=${RUNNER_TEST_RESULTS_DIR}" >> "${GITHUB_ENV}"
2025-12-04T08:54:23.6204902Z 
2025-12-04T08:54:23.6205204Z RUNNER_DOCS_DIR="${RUNNER_TEMP}/docs"
2025-12-04T08:54:23.6205664Z rm -rf "${RUNNER_DOCS_DIR}"
2025-12-04T08:54:23.6206082Z mkdir -p "${RUNNER_DOCS_DIR}"
2025-12-04T08:54:23.6206643Z echo "RUNNER_DOCS_DIR=${RUNNER_DOCS_DIR}" >> "${GITHUB_ENV}"
2025-12-04T08:54:23.6215036Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T08:54:23.6215549Z env:
2025-12-04T08:54:23.6215830Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:54:23.6216172Z ##[endgroup]
2025-12-04T08:54:23.6312325Z ##[group]Run env | grep '^GITHUB' >> "${RUNNER_TEMP}/github_env_${GITHUB_RUN_ID}"
2025-12-04T08:54:23.6313172Z env | grep '^GITHUB' >> "${RUNNER_TEMP}/github_env_${GITHUB_RUN_ID}"
2025-12-04T08:54:23.6313878Z env | grep '^CI' >> "${RUNNER_TEMP}/github_env_${GITHUB_RUN_ID}"
2025-12-04T08:54:23.6324058Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T08:54:23.6324580Z env:
2025-12-04T08:54:23.6324860Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:54:23.6325316Z   RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts
2025-12-04T08:54:23.6325960Z   RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results
2025-12-04T08:54:23.6326615Z   RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs
2025-12-04T08:54:23.6327316Z ##[endgroup]
2025-12-04T08:54:23.6437127Z ##[group]Run # All GPUs are visible to the runner; visibility, if needed, will be set by run_test.py.
2025-12-04T08:54:23.6438689Z # All GPUs are visible to the runner; visibility, if needed, will be set by run_test.py.
2025-12-04T08:54:23.6439510Z # Add render group for container creation.
2025-12-04T08:54:23.6440133Z render_gid=`cat /etc/group | grep render | cut -d: -f3`
2025-12-04T08:54:23.6440906Z # Ensure GPU isolation if pod is part of kubernetes setup with DEVICE_FLAG.
2025-12-04T08:54:23.6441665Z if [ -f "/etc/podinfo/gha-render-devices" ]; then
2025-12-04T08:54:23.6442276Z   DEVICE_FLAG=$(cat /etc/podinfo/gha-render-devices)
2025-12-04T08:54:23.6442778Z else
2025-12-04T08:54:23.6443106Z   DEVICE_FLAG="--device /dev/dri"
2025-12-04T08:54:23.6443516Z fi
2025-12-04T08:54:23.6444186Z # The --group-add daemon and --group-add bin are needed in the Ubuntu 24.04 and Almalinux OSs respectively.
2025-12-04T08:54:23.6445332Z # This is due to the device files (/dev/kfd & /dev/dri) being owned by video group on bare metal.
2025-12-04T08:54:23.6446364Z # This video group ID maps to subgid 1 inside the docker image due to the /etc/subgid entries.
2025-12-04T08:54:23.6447457Z # The group name corresponding to group ID 1 can change depending on the OS, so both are necessary.
2025-12-04T08:54:23.6449432Z echo "GPU_FLAG=--device=/dev/mem --device=/dev/kfd $DEVICE_FLAG --group-add video --group-add $render_gid --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host" >> "${GITHUB_ENV}"
2025-12-04T08:54:23.6460729Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T08:54:23.6461256Z env:
2025-12-04T08:54:23.6461534Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:54:23.6461981Z   RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts
2025-12-04T08:54:23.6462633Z   RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results
2025-12-04T08:54:23.6463240Z   RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs
2025-12-04T08:54:23.6463683Z ##[endgroup]
2025-12-04T08:54:23.6562617Z ##[group]Run aws-actions/configure-aws-credentials@ececac1a45f3b08a01d2dd070d28d111c5fe6722
2025-12-04T08:54:23.6562861Z with:
2025-12-04T08:54:23.6563030Z   role-to-assume: arn:aws:iam::308535385114:role/gha_workflow_s3_and_ecr_read_only
2025-12-04T08:54:23.6563237Z   aws-region: us-east-1
2025-12-04T08:54:23.6563351Z   role-duration-seconds: 18000
2025-12-04T08:54:23.6563486Z   audience: sts.amazonaws.com
2025-12-04T08:54:23.6563602Z env:
2025-12-04T08:54:23.6563699Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:54:23.6563848Z   RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts
2025-12-04T08:54:23.6564052Z   RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results
2025-12-04T08:54:23.6564242Z   RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs
2025-12-04T08:54:23.6564852Z   GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 110 --device /dev/dri/renderD136 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host
2025-12-04T08:54:23.6565366Z ##[endgroup]
2025-12-04T08:54:23.9698617Z Assuming role with OIDC
2025-12-04T08:54:24.3253837Z Authenticated as assumedRoleId AROAUPVRELQNLLCOPFEJR:GitHubActions
2025-12-04T08:54:24.4355009Z ##[group]Run aws-actions/amazon-ecr-login@062b18b96a7aff071d4dc91bc00c4c1a7945b076
2025-12-04T08:54:24.4355736Z with:
2025-12-04T08:54:24.4356041Z   mask-password: true
2025-12-04T08:54:24.4356415Z   registry-type: private
2025-12-04T08:54:24.4356791Z   skip-logout: false
2025-12-04T08:54:24.4357107Z env:
2025-12-04T08:54:24.4357396Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:54:24.4357871Z   RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts
2025-12-04T08:54:24.4358898Z   RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results
2025-12-04T08:54:24.4359519Z   RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs
2025-12-04T08:54:24.4361360Z   GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 110 --device /dev/dri/renderD136 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host
2025-12-04T08:54:24.4362913Z   AWS_DEFAULT_REGION: us-east-1
2025-12-04T08:54:24.4363335Z   AWS_REGION: us-east-1
2025-12-04T08:54:24.4364248Z   AWS_ACCESS_KEY_ID: ***
2025-12-04T08:54:24.4364811Z   AWS_SECRET_ACCESS_KEY: ***
2025-12-04T08:54:24.4375225Z   AWS_SESSION_TOKEN: ***
2025-12-04T08:54:24.4375590Z ##[endgroup]
2025-12-04T08:54:24.8459606Z Logging into registry 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-12-04T08:54:25.5154203Z ##[group]Run env | grep '^GITHUB' >> "${RUNNER_TEMP}/github_env_${GITHUB_RUN_ID}"
2025-12-04T08:54:25.5155062Z env | grep '^GITHUB' >> "${RUNNER_TEMP}/github_env_${GITHUB_RUN_ID}"
2025-12-04T08:54:25.5155766Z env | grep '^CI' >> "${RUNNER_TEMP}/github_env_${GITHUB_RUN_ID}"
2025-12-04T08:54:25.5156548Z env | grep '^RUNNER' >> "${RUNNER_TEMP}/github_env_${GITHUB_RUN_ID}"
2025-12-04T08:54:25.5166779Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T08:54:25.5167333Z env:
2025-12-04T08:54:25.5167639Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:54:25.5168211Z   RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts
2025-12-04T08:54:25.5168886Z   RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results
2025-12-04T08:54:25.5169513Z   RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs
2025-12-04T08:54:25.5171234Z   GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 110 --device /dev/dri/renderD136 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host
2025-12-04T08:54:25.5172955Z   AWS_DEFAULT_REGION: us-east-1
2025-12-04T08:54:25.5173389Z   AWS_REGION: us-east-1
2025-12-04T08:54:25.5173946Z   AWS_ACCESS_KEY_ID: ***
2025-12-04T08:54:25.5174539Z   AWS_SECRET_ACCESS_KEY: ***
2025-12-04T08:54:25.5185191Z   AWS_SESSION_TOKEN: ***
2025-12-04T08:54:25.5185582Z ##[endgroup]
2025-12-04T08:54:25.5540229Z ##[group]Run pytorch/test-infra/.github/actions/calculate-docker-image@main
2025-12-04T08:54:25.5540925Z with:
2025-12-04T08:54:25.5542036Z   docker-image-name: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-rocm-n-py3-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T08:54:25.5543294Z   use-custom-docker-registry: true
2025-12-04T08:54:25.5543747Z   docker-build-dir: .ci/docker
2025-12-04T08:54:25.5544194Z   docker-build-script: ./build.sh
2025-12-04T08:54:25.5544612Z   working-directory: .
2025-12-04T08:54:25.5545151Z   docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-12-04T08:54:25.5545730Z   force-push: false
2025-12-04T08:54:25.5546059Z env:
2025-12-04T08:54:25.5546368Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:54:25.5546877Z   RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts
2025-12-04T08:54:25.5547575Z   RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results
2025-12-04T08:54:25.5548675Z   RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs
2025-12-04T08:54:25.5550339Z   GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 110 --device /dev/dri/renderD136 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host
2025-12-04T08:54:25.5551924Z   AWS_DEFAULT_REGION: us-east-1
2025-12-04T08:54:25.5552321Z   AWS_REGION: us-east-1
2025-12-04T08:54:25.5552883Z   AWS_ACCESS_KEY_ID: ***
2025-12-04T08:54:25.5553475Z   AWS_SECRET_ACCESS_KEY: ***
2025-12-04T08:54:25.5563816Z   AWS_SESSION_TOKEN: ***
2025-12-04T08:54:25.5564195Z ##[endgroup]
2025-12-04T08:54:25.5589914Z ##[group]Run set -ex
2025-12-04T08:54:25.5590368Z set -ex
2025-12-04T08:54:25.5590677Z 
2025-12-04T08:54:25.5591241Z # If the docker build directory or the build script doesn't exist, the action will
2025-12-04T08:54:25.5592537Z # gracefully return the docker image name as it is.  Pulling docker image in Linux
2025-12-04T08:54:25.5593430Z # job could then download the pre-built image as usual
2025-12-04T08:54:25.5594517Z if [[ -d "${DOCKER_BUILD_DIR}" ]] && [[ -f "${DOCKER_BUILD_DIR}/${DOCKER_BUILD_SCRIPT}" ]] && [[ "${USE_CUSTOM_DOCKER_REGISTRY}" == "true" ]]; then
2025-12-04T08:54:25.5595487Z   echo "skip=false" >> "${GITHUB_OUTPUT}"
2025-12-04T08:54:25.5595991Z else
2025-12-04T08:54:25.5596376Z   echo "skip=true" >> "${GITHUB_OUTPUT}"
2025-12-04T08:54:25.5597077Z   echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}"
2025-12-04T08:54:25.5597664Z 
2025-12-04T08:54:25.5598552Z   echo "Not using custom ECR registry.  Either it was not requested or there is no Docker build script in the ${REPO_NAME} repo..."
2025-12-04T08:54:25.5599499Z   exit 0
2025-12-04T08:54:25.5599807Z fi
2025-12-04T08:54:25.5600114Z 
2025-12-04T08:54:25.5600637Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_REGISTRY}/${REPO_NAME}"* ]]; then
2025-12-04T08:54:25.5601541Z   # The docker image name already includes the ECR prefix and tag, so we can just
2025-12-04T08:54:25.5602383Z   # use it as it is, but first let's extract the tag
2025-12-04T08:54:25.5603151Z   DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}')
2025-12-04T08:54:25.5603906Z   echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2025-12-04T08:54:25.5604669Z   echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}"
2025-12-04T08:54:25.5605261Z else
2025-12-04T08:54:25.5605655Z   if [[ "${DOCKER_IMAGE_NAME}" == *:* ]]; then
2025-12-04T08:54:25.5606250Z     CUSTOM_TAG_PREFIX=${DOCKER_IMAGE_NAME#*:}
2025-12-04T08:54:25.5606859Z     DOCKER_IMAGE_NAME=${DOCKER_IMAGE_NAME%%:*}
2025-12-04T08:54:25.5607367Z   fi
2025-12-04T08:54:25.5608320Z   DOCKER_TAG=${CUSTOM_TAG_PREFIX:+${CUSTOM_TAG_PREFIX}-}$(git rev-parse HEAD:"${DOCKER_BUILD_DIR}")
2025-12-04T08:54:25.5609712Z   echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2025-12-04T08:54:25.5610695Z   echo "docker-image=${DOCKER_REGISTRY}/${REPO_NAME}/${DOCKER_IMAGE_NAME}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2025-12-04T08:54:25.5611753Z   echo "custom-tag-prefix=${CUSTOM_TAG_PREFIX}" >> "${GITHUB_OUTPUT}"
2025-12-04T08:54:25.5612370Z fi
2025-12-04T08:54:25.5622281Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T08:54:25.5622820Z env:
2025-12-04T08:54:25.5623124Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:54:25.5623652Z   RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts
2025-12-04T08:54:25.5624336Z   RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results
2025-12-04T08:54:25.5624970Z   RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs
2025-12-04T08:54:25.5626609Z   GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 110 --device /dev/dri/renderD136 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host
2025-12-04T08:54:25.5628295Z   AWS_DEFAULT_REGION: us-east-1
2025-12-04T08:54:25.5628706Z   AWS_REGION: us-east-1
2025-12-04T08:54:25.5629211Z   AWS_ACCESS_KEY_ID: ***
2025-12-04T08:54:25.5629804Z   AWS_SECRET_ACCESS_KEY: ***
2025-12-04T08:54:25.5638563Z   AWS_SESSION_TOKEN: ***
2025-12-04T08:54:25.5638806Z   REPO_NAME: pytorch
2025-12-04T08:54:25.5639522Z   DOCKER_IMAGE_NAME: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-rocm-n-py3-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T08:54:25.5640301Z   DOCKER_BUILD_DIR: .ci/docker
2025-12-04T08:54:25.5640577Z   DOCKER_BUILD_SCRIPT: ./build.sh
2025-12-04T08:54:25.5640949Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-12-04T08:54:25.5641346Z   USE_CUSTOM_DOCKER_REGISTRY: true
2025-12-04T08:54:25.5641610Z   CUSTOM_TAG_PREFIX: 
2025-12-04T08:54:25.5641920Z ##[endgroup]
2025-12-04T08:54:25.5667487Z + [[ -d .ci/docker ]]
2025-12-04T08:54:25.5667759Z + [[ -f .ci/docker/./build.sh ]]
2025-12-04T08:54:25.5668035Z + [[ true == \t\r\u\e ]]
2025-12-04T08:54:25.5668333Z + echo skip=false
2025-12-04T08:54:25.5669412Z + [[ 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-rocm-n-py3-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* ]]
2025-12-04T08:54:25.5680748Z ++ echo 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-rocm-n-py3-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T08:54:25.5681523Z ++ awk -F '[:,]' '{print $2}'
2025-12-04T08:54:25.5699303Z + DOCKER_TAG=pytorch-linux-jammy-rocm-n-py3-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T08:54:25.5700032Z + echo docker-tag=pytorch-linux-jammy-rocm-n-py3-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T08:54:25.5701019Z + echo docker-image=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-rocm-n-py3-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T08:54:25.5748929Z ##[group]Run set +e
2025-12-04T08:54:25.5749373Z set +e
2025-12-04T08:54:25.5749695Z set -x
2025-12-04T08:54:25.5749999Z 
2025-12-04T08:54:25.5750282Z login() {
2025-12-04T08:54:25.5750990Z   aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1"
2025-12-04T08:54:25.5751816Z }
2025-12-04T08:54:25.5752099Z 
2025-12-04T08:54:25.5752388Z retry () {
2025-12-04T08:54:25.5752772Z   $*  || (sleep 1 && $*) || (sleep 2 && $*)
2025-12-04T08:54:25.5753234Z }
2025-12-04T08:54:25.5753512Z 
2025-12-04T08:54:25.5753824Z retry login "${DOCKER_REGISTRY}"
2025-12-04T08:54:25.5754252Z 
2025-12-04T08:54:25.5754563Z START_TIME=$(date +%s)
2025-12-04T08:54:25.5755020Z # Wait up to 120 minutes
2025-12-04T08:54:25.5755773Z while [[ $(( $(date +%s) - 7200 )) -lt $START_TIME ]]; do
2025-12-04T08:54:25.5756496Z   # Check if image already exists, if it does then skip building it
2025-12-04T08:54:25.5757206Z   if docker manifest inspect "${DOCKER_IMAGE}"; then
2025-12-04T08:54:25.5757724Z     exit 0
2025-12-04T08:54:25.5758052Z   fi
2025-12-04T08:54:25.5758431Z 
2025-12-04T08:54:25.5758968Z   # NB: This flag is used by Docker build workflow to push the image to ECR, so we can
2025-12-04T08:54:25.5759961Z   # use this to differentiate between the Docker build and regular build jobs. For the
2025-12-04T08:54:25.5760921Z   # latter, it will wait for the Docker images to become available before continuing
2025-12-04T08:54:25.5761684Z   if [ "${DOCKER_PUSH:-false}" == "true" ]; then
2025-12-04T08:54:25.5762270Z     # It's a Docker build job, let's build the image
2025-12-04T08:54:25.5762779Z     break
2025-12-04T08:54:25.5763106Z   else
2025-12-04T08:54:25.5763582Z     # It's a regular build job, wait for the image to become available
2025-12-04T08:54:25.5764180Z     sleep 300
2025-12-04T08:54:25.5764544Z   fi
2025-12-04T08:54:25.5764851Z done
2025-12-04T08:54:25.5765152Z 
2025-12-04T08:54:25.5765685Z # NB: This part requires a full checkout. Otherwise, the merge base will
2025-12-04T08:54:25.5766512Z # be empty.  The default action would be to continue rebuild the image
2025-12-04T08:54:25.5767256Z if [[ "$BASE_REVISION" = "$(git rev-parse HEAD)" ]]; then
2025-12-04T08:54:25.5767924Z   # if we're on the base branch then use the parent commit
2025-12-04T08:54:25.5768856Z   MERGE_BASE=$(git rev-parse HEAD~)
2025-12-04T08:54:25.5769329Z else
2025-12-04T08:54:25.5769811Z   # otherwise we're on a PR, so use the most recent base commit
2025-12-04T08:54:25.5770737Z   MERGE_BASE=$(git merge-base HEAD "$BASE_REVISION")
2025-12-04T08:54:25.5771285Z fi
2025-12-04T08:54:25.5771583Z 
2025-12-04T08:54:25.5771918Z if [[ -z "${MERGE_BASE}" ]]; then
2025-12-04T08:54:25.5772462Z   echo "rebuild=true" >> "${GITHUB_OUTPUT}"
2025-12-04T08:54:25.5772961Z 
2025-12-04T08:54:25.5773643Z   echo "Finding merge base only works with full checkout, please set fetch-depth to 0, continuing ..."
2025-12-04T08:54:25.5774455Z   exit 0
2025-12-04T08:54:25.5774761Z fi
2025-12-04T08:54:25.5775035Z 
2025-12-04T08:54:25.5775480Z if ! git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}"; then
2025-12-04T08:54:25.5776489Z   echo "Directory '${DOCKER_BUILD_DIR}' not found in commit $MERGE_BASE, you should rebase onto a more recent commit"
2025-12-04T08:54:25.5777344Z   exit 1
2025-12-04T08:54:25.5777657Z fi
2025-12-04T08:54:25.5777941Z 
2025-12-04T08:54:25.5778997Z PREVIOUS_DOCKER_TAG=$(git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}")
2025-12-04T08:54:25.5780009Z # If no image exists but the hash is the same as the previous hash then we should error out here
2025-12-04T08:54:25.5780845Z if [[ "${PREVIOUS_DOCKER_TAG}" == "${DOCKER_TAG}" ]]; then
2025-12-04T08:54:25.5781897Z   echo "WARNING: Something has gone wrong and the previous image isn't available for the merge-base of your branch"
2025-12-04T08:54:25.5783038Z   echo "         Will re-build docker image to store in local cache, TTS may be longer"
2025-12-04T08:54:25.5783743Z fi
2025-12-04T08:54:25.5784036Z 
2025-12-04T08:54:25.5784424Z echo "rebuild=true" >> "${GITHUB_OUTPUT}"
2025-12-04T08:54:25.5794538Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T08:54:25.5795086Z env:
2025-12-04T08:54:25.5795390Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:54:25.5795870Z   RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts
2025-12-04T08:54:25.5796655Z   RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results
2025-12-04T08:54:25.5797283Z   RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs
2025-12-04T08:54:25.5798957Z   GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 110 --device /dev/dri/renderD136 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host
2025-12-04T08:54:25.5800513Z   AWS_DEFAULT_REGION: us-east-1
2025-12-04T08:54:25.5800918Z   AWS_REGION: us-east-1
2025-12-04T08:54:25.5801470Z   AWS_ACCESS_KEY_ID: ***
2025-12-04T08:54:25.5802020Z   AWS_SECRET_ACCESS_KEY: ***
2025-12-04T08:54:25.5812270Z   AWS_SESSION_TOKEN: ***
2025-12-04T08:54:25.5812657Z   DOCKER_BUILD_DIR: .ci/docker
2025-12-04T08:54:25.5813166Z   BASE_REVISION: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T08:54:25.5814458Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-rocm-n-py3-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T08:54:25.5816084Z   DOCKER_TAG: pytorch-linux-jammy-rocm-n-py3-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T08:54:25.5816991Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-12-04T08:54:25.5817599Z   DOCKER_PUSH: 
2025-12-04T08:54:25.5817932Z ##[endgroup]
2025-12-04T08:54:25.5854267Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-12-04T08:54:25.5854914Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-12-04T08:54:25.5858695Z + aws ecr get-login-password --region us-east-1
2025-12-04T08:54:25.5859501Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-12-04T08:54:25.5860545Z /home/runner/_work/_temp/710b4f16-b010-43e1-9b60-4769ffc90128.sh: line 5: aws: command not found
2025-12-04T08:54:25.5953947Z Error: Cannot perform an interactive login from a non TTY device
2025-12-04T08:54:25.5963880Z + sleep 1
2025-12-04T08:54:26.5982549Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-12-04T08:54:26.5986470Z + aws ecr get-login-password --region us-east-1
2025-12-04T08:54:26.5987394Z /home/runner/_work/_temp/710b4f16-b010-43e1-9b60-4769ffc90128.sh: line 5: aws: command not found
2025-12-04T08:54:26.5988606Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-12-04T08:54:26.6090883Z Error: Cannot perform an interactive login from a non TTY device
2025-12-04T08:54:26.6105501Z + sleep 2
2025-12-04T08:54:28.6119048Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-12-04T08:54:28.6122534Z + aws ecr get-login-password --region us-east-1
2025-12-04T08:54:28.6122781Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-12-04T08:54:28.6123109Z /home/runner/_work/_temp/710b4f16-b010-43e1-9b60-4769ffc90128.sh: line 5: aws: command not found
2025-12-04T08:54:28.6204279Z Error: Cannot perform an interactive login from a non TTY device
2025-12-04T08:54:28.6226089Z ++ date +%s
2025-12-04T08:54:28.6234846Z + START_TIME=1764838468
2025-12-04T08:54:28.6237064Z ++ date +%s
2025-12-04T08:54:28.6242808Z + [[ 1764831268 -lt 1764838468 ]]
2025-12-04T08:54:28.6244249Z + docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-rocm-n-py3-f0cd68561080d537ef3d3d6f81b25a6416ad600a
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2025-12-04T08:54:30.0007494Z 		},
2025-12-04T08:54:30.0007749Z 		{
2025-12-04T08:54:30.0008269Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-12-04T08:54:30.0008881Z 			"size": 829,
2025-12-04T08:54:30.0009495Z 			"digest": "sha256:1969e15d0c13874ea5883ed829235a19ef6dc21c8aa6172032b78a8ffa6ff262"
2025-12-04T08:54:30.0010214Z 		},
2025-12-04T08:54:30.0010467Z 		{
2025-12-04T08:54:30.0010934Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-12-04T08:54:30.0011554Z 			"size": 26973054,
2025-12-04T08:54:30.0012202Z 			"digest": "sha256:24a03847d382b73c11969f8f73916a6bedf5ccea12f6f4290b3880f29ceda32a"
2025-12-04T08:54:30.0012930Z 		},
2025-12-04T08:54:30.0013183Z 		{
2025-12-04T08:54:30.0013650Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-12-04T08:54:30.0014270Z 			"size": 104,
2025-12-04T08:54:30.0014891Z 			"digest": "sha256:816e2e34e01839a35d624dbf4bd9ac9bea4c975104af47a0e6b6b6dee6c6f98d"
2025-12-04T08:54:30.0015628Z 		},
2025-12-04T08:54:30.0015886Z 		{
2025-12-04T08:54:30.0016358Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-12-04T08:54:30.0016978Z 			"size": 424,
2025-12-04T08:54:30.0017593Z 			"digest": "sha256:b168858b85373f8ddca549d79267a06de4fa945d04bf791c55c9ddc93957fa3c"
2025-12-04T08:54:30.0018361Z 		},
2025-12-04T08:54:30.0018616Z 		{
2025-12-04T08:54:30.0019083Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-12-04T08:54:30.0019714Z 			"size": 19309386,
2025-12-04T08:54:30.0020374Z 			"digest": "sha256:6b8d5ff02e267e38322afbb8a58ed63ce9d75b10e9e73255e6affcbc6b6539bf"
2025-12-04T08:54:30.0021120Z 		},
2025-12-04T08:54:30.0021473Z 		{
2025-12-04T08:54:30.0021943Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-12-04T08:54:30.0022560Z 			"size": 826,
2025-12-04T08:54:30.0023178Z 			"digest": "sha256:4e3b10a5dd6aed29f238d604925e2a4f873141c1087c8dd4fdde5c61e7560893"
2025-12-04T08:54:30.0023907Z 		},
2025-12-04T08:54:30.0024165Z 		{
2025-12-04T08:54:30.0024633Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-12-04T08:54:30.0025253Z 			"size": 724,
2025-12-04T08:54:30.0025854Z 			"digest": "sha256:9681563a88ff9e62494a2740e537440d3df978d466c9478d6a941fae8b57b084"
2025-12-04T08:54:30.0026568Z 		},
2025-12-04T08:54:30.0026826Z 		{
2025-12-04T08:54:30.0027294Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-12-04T08:54:30.0027913Z 			"size": 149,
2025-12-04T08:54:30.0028581Z 			"digest": "sha256:3092fab73b59190b9facfc49bf18f58612172bc2fd68dfa339a1118632616939"
2025-12-04T08:54:30.0029317Z 		},
2025-12-04T08:54:30.0029619Z 		{
2025-12-04T08:54:30.0030091Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-12-04T08:54:30.0030713Z 			"size": 136,
2025-12-04T08:54:30.0031353Z 			"digest": "sha256:20020dd28a15ba092fcbfe906ee39cdddfcc9d0b7eb42fdd6f4c08a984fa9c00"
2025-12-04T08:54:30.0032105Z 		},
2025-12-04T08:54:30.0032362Z 		{
2025-12-04T08:54:30.0032835Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-12-04T08:54:30.0033460Z 			"size": 140,
2025-12-04T08:54:30.0034081Z 			"digest": "sha256:ae5280ce969dcff08c091e9a5f7641f13561b2b0ee44d78b7c3f81d8fe8e6d32"
2025-12-04T08:54:30.0034812Z 		},
2025-12-04T08:54:30.0035068Z 		{
2025-12-04T08:54:30.0035537Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-12-04T08:54:30.0036159Z 			"size": 32,
2025-12-04T08:54:30.0036785Z 			"digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1"
2025-12-04T08:54:30.0037606Z 		},
2025-12-04T08:54:30.0037857Z 		{
2025-12-04T08:54:30.0038442Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-12-04T08:54:30.0039060Z 			"size": 222,
2025-12-04T08:54:30.0039684Z 			"digest": "sha256:fe17d9eb0fd26d3af4c724bf570d833978b131cedb7dc17a800aa388a246b3cd"
2025-12-04T08:54:30.0040419Z 		},
2025-12-04T08:54:30.0040672Z 		{
2025-12-04T08:54:30.0041144Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-12-04T08:54:30.0041764Z 			"size": 346,
2025-12-04T08:54:30.0042365Z 			"digest": "sha256:a51e0dab2d596e6563483f27c12660007160847d177ba4c31812a8f44ada5754"
2025-12-04T08:54:30.0043085Z 		},
2025-12-04T08:54:30.0043339Z 		{
2025-12-04T08:54:30.0043810Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-12-04T08:54:30.0044429Z 			"size": 88300,
2025-12-04T08:54:30.0045071Z 			"digest": "sha256:6eb176cefd72d37ecbcdf074289a8f1de732d8816cc695ece7e4709d098094d6"
2025-12-04T08:54:30.0045814Z 		},
2025-12-04T08:54:30.0046070Z 		{
2025-12-04T08:54:30.0046544Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-12-04T08:54:30.0047164Z 			"size": 106,
2025-12-04T08:54:30.0047781Z 			"digest": "sha256:e7b8cf2e8d5a4c56db9726ce62c1176032408b3b1c25a000592361cb4245e2b5"
2025-12-04T08:54:30.0048552Z 		},
2025-12-04T08:54:30.0048807Z 		{
2025-12-04T08:54:30.0049271Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-12-04T08:54:30.0049895Z 			"size": 1671,
2025-12-04T08:54:30.0050532Z 			"digest": "sha256:ef3a5060abce88884bc8bd815aa41c46427f34eeb132fe0ddd85a3f86e6dc83d"
2025-12-04T08:54:30.0051286Z 		},
2025-12-04T08:54:30.0051545Z 		{
2025-12-04T08:54:30.0052018Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-12-04T08:54:30.0052639Z 			"size": 724,
2025-12-04T08:54:30.0053250Z 			"digest": "sha256:9681563a88ff9e62494a2740e537440d3df978d466c9478d6a941fae8b57b084"
2025-12-04T08:54:30.0053972Z 		},
2025-12-04T08:54:30.0054227Z 		{
2025-12-04T08:54:30.0054695Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-12-04T08:54:30.0055319Z 			"size": 138,
2025-12-04T08:54:30.0056049Z 			"digest": "sha256:a6f4ec14b42b8f0a83d20aa6a985ddb6a1bf64e0ed3d44afd3484b87d4ed5ad3"
2025-12-04T08:54:30.0056789Z 		},
2025-12-04T08:54:30.0057046Z 		{
2025-12-04T08:54:30.0057513Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-12-04T08:54:30.0058207Z 			"size": 119,
2025-12-04T08:54:30.0058832Z 			"digest": "sha256:7e5a0c956cfbd6f8074fbfd3b1d416e6635d632835ec00c8dd4c015a21da19b4"
2025-12-04T08:54:30.0059575Z 		},
2025-12-04T08:54:30.0059833Z 		{
2025-12-04T08:54:30.0060300Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-12-04T08:54:30.0060927Z 			"size": 6238423049,
2025-12-04T08:54:30.0061591Z 			"digest": "sha256:b4f78730cfe76ce091b78b2e2e3d52be03f1097b3e4c3de5bd79f8d13a853132"
2025-12-04T08:54:30.0062323Z 		},
2025-12-04T08:54:30.0062579Z 		{
2025-12-04T08:54:30.0063045Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-12-04T08:54:30.0063674Z 			"size": 174,
2025-12-04T08:54:30.0064287Z 			"digest": "sha256:081028f24389b112683689fd362e8c0d6f358082710e72feab91cea6383feb4d"
2025-12-04T08:54:30.0064998Z 		},
2025-12-04T08:54:30.0065255Z 		{
2025-12-04T08:54:30.0065728Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-12-04T08:54:30.0066350Z 			"size": 1896,
2025-12-04T08:54:30.0066988Z 			"digest": "sha256:a534dcf4b9a9e5fabed742c8a8fc43c9cfe7346ea88ab3c177c3b14fd3afe00a"
2025-12-04T08:54:30.0067743Z 		},
2025-12-04T08:54:30.0068000Z 		{
2025-12-04T08:54:30.0068528Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-12-04T08:54:30.0069161Z 			"size": 197577597,
2025-12-04T08:54:30.0069797Z 			"digest": "sha256:2e77500302cc13224427e1d74e471bd79d5109ba6a5099a83df1d10b786f71ba"
2025-12-04T08:54:30.0070512Z 		},
2025-12-04T08:54:30.0070769Z 		{
2025-12-04T08:54:30.0071241Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-12-04T08:54:30.0071865Z 			"size": 304,
2025-12-04T08:54:30.0072599Z 			"digest": "sha256:bc08246bb4ba18c3ec5bc69e16b6b4e929c5bd0f3fae10eeb0b1a622a63d6fa2"
2025-12-04T08:54:30.0073339Z 		},
2025-12-04T08:54:30.0073593Z 		{
2025-12-04T08:54:30.0074055Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-12-04T08:54:30.0074671Z 			"size": 32,
2025-12-04T08:54:30.0075294Z 			"digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1"
2025-12-04T08:54:30.0076030Z 		},
2025-12-04T08:54:30.0076283Z 		{
2025-12-04T08:54:30.0076746Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-12-04T08:54:30.0077363Z 			"size": 106,
2025-12-04T08:54:30.0077984Z 			"digest": "sha256:ff0c473ca120ebdcaa2ba10b3274e82032edd5196019e76d4e7584553704ae81"
2025-12-04T08:54:30.0078765Z 		},
2025-12-04T08:54:30.0079016Z 		{
2025-12-04T08:54:30.0079475Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-12-04T08:54:30.0080098Z 			"size": 54145662,
2025-12-04T08:54:30.0080764Z 			"digest": "sha256:6bbc14b250efb3cdaad12c91573c6bb9129ad3e3432f0ed1a7eaebc9958d162f"
2025-12-04T08:54:30.0081504Z 		}
2025-12-04T08:54:30.0081764Z 	]
2025-12-04T08:54:30.0082024Z }
2025-12-04T08:54:30.0082302Z + exit 0
2025-12-04T08:54:30.0122598Z ##[group]Run set -eux
2025-12-04T08:54:30.0123000Z set -eux
2025-12-04T08:54:30.0123630Z # It's ok if this steps fails, it would then be an anonymous user like what we used to have
2025-12-04T08:54:30.0125592Z 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
2025-12-04T08:54:30.0137600Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T08:54:30.0138247Z env:
2025-12-04T08:54:30.0138566Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:54:30.0139081Z   RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts
2025-12-04T08:54:30.0139807Z   RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results
2025-12-04T08:54:30.0140492Z   RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs
2025-12-04T08:54:30.0142365Z   GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 110 --device /dev/dri/renderD136 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host
2025-12-04T08:54:30.0144065Z   AWS_DEFAULT_REGION: us-east-1
2025-12-04T08:54:30.0144502Z   AWS_REGION: us-east-1
2025-12-04T08:54:30.0145077Z   AWS_ACCESS_KEY_ID: ***
2025-12-04T08:54:30.0145664Z   AWS_SECRET_ACCESS_KEY: ***
2025-12-04T08:54:30.0157120Z   AWS_SESSION_TOKEN: ***
2025-12-04T08:54:30.0157504Z ##[endgroup]
2025-12-04T08:54:30.0193735Z + aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token
2025-12-04T08:54:30.0194900Z /home/runner/_work/_temp/3785f887-fd9a-4458-8f07-46ad2acc48bf.sh: line 3: aws: command not found
2025-12-04T08:54:30.0195786Z + jq --raw-output .SecretString
2025-12-04T08:54:30.0196314Z + jq -r .docker_hub_readonly_token
2025-12-04T08:54:30.0196913Z + docker login --username pytorchbot --password-stdin
2025-12-04T08:54:30.0314176Z Error: Cannot perform an interactive login from a non TTY device
2025-12-04T08:54:30.0322323Z + true
2025-12-04T08:54:30.0453184Z ##[group]Run pytorch/test-infra/.github/actions/pull-docker-image@main
2025-12-04T08:54:30.0453824Z with:
2025-12-04T08:54:30.0454882Z   docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-rocm-n-py3-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T08:54:30.0456206Z   docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-12-04T08:54:30.0456771Z env:
2025-12-04T08:54:30.0457072Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:54:30.0457548Z   RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts
2025-12-04T08:54:30.0458279Z   RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results
2025-12-04T08:54:30.0458898Z   RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs
2025-12-04T08:54:30.0460791Z   GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 110 --device /dev/dri/renderD136 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host
2025-12-04T08:54:30.0462387Z   AWS_DEFAULT_REGION: us-east-1
2025-12-04T08:54:30.0462808Z   AWS_REGION: us-east-1
2025-12-04T08:54:30.0463359Z   AWS_ACCESS_KEY_ID: ***
2025-12-04T08:54:30.0463923Z   AWS_SECRET_ACCESS_KEY: ***
2025-12-04T08:54:30.0474450Z   AWS_SESSION_TOKEN: ***
2025-12-04T08:54:30.0474803Z ##[endgroup]
2025-12-04T08:54:30.0496124Z ##[group]Run set -x
2025-12-04T08:54:30.0496513Z set -x
2025-12-04T08:54:30.0496825Z set +e
2025-12-04T08:54:30.0497131Z 
2025-12-04T08:54:30.0497419Z login() {
2025-12-04T08:54:30.0498214Z   aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1"
2025-12-04T08:54:30.0499031Z }
2025-12-04T08:54:30.0499319Z 
2025-12-04T08:54:30.0499622Z retry () {
2025-12-04T08:54:30.0500011Z   $*  || (sleep 1 && $*) || (sleep 2 && $*)
2025-12-04T08:54:30.0500476Z }
2025-12-04T08:54:30.0500759Z 
2025-12-04T08:54:30.0501085Z retry login "${DOCKER_REGISTRY}"
2025-12-04T08:54:30.0501516Z 
2025-12-04T08:54:30.0502243Z IMAGE_SIZE=$(docker manifest inspect "${DOCKER_IMAGE}" | jq '[.layers[].size, .config.size] | add / 1024 / 1024')
2025-12-04T08:54:30.0503338Z echo "Compressed size of image in MB: ${IMAGE_SIZE}"
2025-12-04T08:54:30.0503884Z 
2025-12-04T08:54:30.0504162Z set -e
2025-12-04T08:54:30.0504656Z # ignore output since only exit code is used for conditional
2025-12-04T08:54:30.0505372Z # only pull docker image if it's not available locally
2025-12-04T08:54:30.0506174Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then
2025-12-04T08:54:30.0506972Z   retry docker pull "${DOCKER_IMAGE}"
2025-12-04T08:54:30.0507461Z fi
2025-12-04T08:54:30.0517600Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T08:54:30.0518204Z env:
2025-12-04T08:54:30.0518509Z   GIT_DEFAULT_BRANCH: main
2025-12-04T08:54:30.0519007Z   RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts
2025-12-04T08:54:30.0519680Z   RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results
2025-12-04T08:54:30.0520309Z   RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs
2025-12-04T08:54:30.0521960Z   GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 110 --device /dev/dri/renderD136 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host
2025-12-04T08:54:30.0523542Z   AWS_DEFAULT_REGION: us-east-1
2025-12-04T08:54:30.0523972Z   AWS_REGION: us-east-1
2025-12-04T08:54:30.0524478Z   AWS_ACCESS_KEY_ID: ***
2025-12-04T08:54:30.0525069Z   AWS_SECRET_ACCESS_KEY: ***
2025-12-04T08:54:30.0536055Z   AWS_SESSION_TOKEN: ***
2025-12-04T08:54:30.0537271Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-rocm-n-py3-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T08:54:30.0538964Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-12-04T08:54:30.0539580Z ##[endgroup]
2025-12-04T08:54:30.0575321Z + set +e
2025-12-04T08:54:30.0575886Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-12-04T08:54:30.0576577Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-12-04T08:54:30.0579520Z + aws ecr get-login-password --region us-east-1
2025-12-04T08:54:30.0580478Z /home/runner/_work/_temp/a587eb66-2c03-4795-a481-4c4c0a32bd86.sh: line 5: aws: command not found
2025-12-04T08:54:30.0581596Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-12-04T08:54:30.0660466Z Error: Cannot perform an interactive login from a non TTY device
2025-12-04T08:54:30.0672784Z + sleep 1
2025-12-04T08:54:31.0684512Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-12-04T08:54:31.0688483Z + aws ecr get-login-password --region us-east-1
2025-12-04T08:54:31.0689469Z /home/runner/_work/_temp/a587eb66-2c03-4795-a481-4c4c0a32bd86.sh: line 5: aws: command not found
2025-12-04T08:54:31.0690632Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-12-04T08:54:31.0778245Z Error: Cannot perform an interactive login from a non TTY device
2025-12-04T08:54:31.0789481Z + sleep 2
2025-12-04T08:54:33.0801857Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-12-04T08:54:33.0808806Z + aws ecr get-login-password --region us-east-1
2025-12-04T08:54:33.0809858Z /home/runner/_work/_temp/a587eb66-2c03-4795-a481-4c4c0a32bd86.sh: line 5: aws: command not found
2025-12-04T08:54:33.0810984Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-12-04T08:54:33.0889991Z Error: Cannot perform an interactive login from a non TTY device
2025-12-04T08:54:33.0913874Z ++ docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-rocm-n-py3-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T08:54:33.0915413Z ++ jq '[.layers[].size, .config.size] | add / 1024 / 1024'
2025-12-04T08:54:34.5804191Z + IMAGE_SIZE=18171.470620155334
2025-12-04T08:54:34.5804871Z + echo 'Compressed size of image in MB: 18171.470620155334'
2025-12-04T08:54:34.5805430Z + set -e
2025-12-04T08:54:34.5806641Z + docker inspect --type=image 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-rocm-n-py3-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T08:54:34.5807958Z Compressed size of image in MB: 18171.470620155334
2025-12-04T08:54:34.5957246Z + retry docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-rocm-n-py3-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T08:54:34.5959355Z + docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-rocm-n-py3-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T08:54:35.7124572Z pytorch-linux-jammy-rocm-n-py3-f0cd68561080d537ef3d3d6f81b25a6416ad600a: Pulling from pytorch/ci-image
2025-12-04T08:54:35.7125714Z 63e5bc7682b8: Pulling fs layer
2025-12-04T08:54:35.7126191Z 835841cca3b7: Pulling fs layer
2025-12-04T08:54:35.7126582Z aac69780afc8: Pulling fs layer
2025-12-04T08:54:35.7126961Z 029495b23122: Pulling fs layer
2025-12-04T08:54:35.7127350Z d0fb85b00833: Pulling fs layer
2025-12-04T08:54:35.7127732Z 59b639308833: Pulling fs layer
2025-12-04T08:54:35.7128192Z dc112c89d57a: Pulling fs layer
2025-12-04T08:54:35.7128575Z 522eab2402e5: Pulling fs layer
2025-12-04T08:54:35.7128959Z 2b5a11b41761: Pulling fs layer
2025-12-04T08:54:35.7129345Z 9681563a88ff: Pulling fs layer
2025-12-04T08:54:35.7129726Z 73e33534e9eb: Pulling fs layer
2025-12-04T08:54:35.7130116Z 5bfdaeb5578d: Pulling fs layer
2025-12-04T08:54:35.7130503Z c07d27e4d3a5: Pulling fs layer
2025-12-04T08:54:35.7130874Z 029495b23122: Waiting
2025-12-04T08:54:35.7131236Z b21856d1bf42: Pulling fs layer
2025-12-04T08:54:35.7131620Z cb19d84867e4: Pulling fs layer
2025-12-04T08:54:35.7131996Z d0fb85b00833: Waiting
2025-12-04T08:54:35.7132328Z 73e33534e9eb: Waiting
2025-12-04T08:54:35.7133354Z 8165374f8dcc: Pulling fs layer
2025-12-04T08:54:35.7133743Z 5bfdaeb5578d: Waiting
2025-12-04T08:54:35.7134084Z 1aecc77354ce: Pulling fs layer
2025-12-04T08:54:35.7134469Z 465d3fd643aa: Pulling fs layer
2025-12-04T08:54:35.7134837Z 2b5a11b41761: Waiting
2025-12-04T08:54:35.7135157Z c07d27e4d3a5: Waiting
2025-12-04T08:54:35.7135494Z 6c503e779d6f: Pulling fs layer
2025-12-04T08:54:35.7135857Z 59b639308833: Waiting
2025-12-04T08:54:35.7136191Z b21856d1bf42: Waiting
2025-12-04T08:54:35.7136508Z cb19d84867e4: Waiting
2025-12-04T08:54:35.7136828Z 8165374f8dcc: Waiting
2025-12-04T08:54:35.7142821Z f7e9a021f0ee: Pulling fs layer
2025-12-04T08:54:35.7150594Z dc112c89d57a: Waiting
2025-12-04T08:54:35.7152114Z 522eab2402e5: Waiting
2025-12-04T08:54:35.7152497Z 8e023b349080: Pulling fs layer
2025-12-04T08:54:35.7153328Z 9681563a88ff: Waiting
2025-12-04T08:54:35.7153565Z 8188df80e595: Pulling fs layer
2025-12-04T08:54:35.7153825Z 1aecc77354ce: Waiting
2025-12-04T08:54:35.7154042Z 8e023b349080: Waiting
2025-12-04T08:54:35.7154271Z 6c503e779d6f: Waiting
2025-12-04T08:54:35.7154499Z 3c2c2f8c74bf: Pulling fs layer
2025-12-04T08:54:35.7154752Z 8188df80e595: Waiting
2025-12-04T08:54:35.7154976Z 2aa7784fbe33: Pulling fs layer
2025-12-04T08:54:35.7155218Z 465d3fd643aa: Waiting
2025-12-04T08:54:35.7155454Z 2b3b5215d3eb: Pulling fs layer
2025-12-04T08:54:35.7155722Z 99b1f1ea3e85: Pulling fs layer
2025-12-04T08:54:35.7156047Z 3c2c2f8c74bf: Waiting
2025-12-04T08:54:35.7156248Z 2aa7784fbe33: Waiting
2025-12-04T08:54:35.7156458Z 2b3b5215d3eb: Waiting
2025-12-04T08:54:35.7156661Z f7e9a021f0ee: Waiting
2025-12-04T08:54:35.7156887Z 18d6daba0a57: Pulling fs layer
2025-12-04T08:54:35.7157135Z 18d6daba0a57: Waiting
2025-12-04T08:54:35.7157336Z 99b1f1ea3e85: Waiting
2025-12-04T08:54:35.7157547Z 5277f2a503eb: Pulling fs layer
2025-12-04T08:54:35.7157794Z 3198a9717aac: Pulling fs layer
2025-12-04T08:54:35.7158033Z 99a4918e5808: Pulling fs layer
2025-12-04T08:54:35.7158403Z 3198a9717aac: Waiting
2025-12-04T08:54:35.7158617Z 15bb11dfc6ac: Pulling fs layer
2025-12-04T08:54:35.7158857Z 5277f2a503eb: Waiting
2025-12-04T08:54:35.7159069Z bd87c8766e90: Pulling fs layer
2025-12-04T08:54:35.7159401Z 1969e15d0c13: Pulling fs layer
2025-12-04T08:54:35.7159756Z 15bb11dfc6ac: Waiting
2025-12-04T08:54:35.7160078Z 99a4918e5808: Waiting
2025-12-04T08:54:35.7160391Z bd87c8766e90: Waiting
2025-12-04T08:54:35.7160739Z 24a03847d382: Pulling fs layer
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2025-12-04T08:54:35.7161898Z 6b8d5ff02e26: Pulling fs layer
2025-12-04T08:54:35.7162261Z 1969e15d0c13: Waiting
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2025-12-04T08:54:35.7162908Z 4e3b10a5dd6a: Pulling fs layer
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2025-12-04T08:54:35.7163977Z 6b8d5ff02e26: Waiting
2025-12-04T08:54:35.7164290Z 24a03847d382: Waiting
2025-12-04T08:54:35.7164615Z 20020dd28a15: Pulling fs layer
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2025-12-04T08:54:35.7166073Z ae5280ce969d: Waiting
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2025-12-04T08:54:35.7167858Z 4f4fb700ef54: Waiting
2025-12-04T08:54:35.7168270Z e7b8cf2e8d5a: Pulling fs layer
2025-12-04T08:54:35.7168639Z 20020dd28a15: Waiting
2025-12-04T08:54:35.7168959Z fe17d9eb0fd2: Waiting
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2025-12-04T08:54:35.7169668Z a51e0dab2d59: Waiting
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2025-12-04T08:54:35.7170326Z a6f4ec14b42b: Pulling fs layer
2025-12-04T08:54:35.7170708Z 7e5a0c956cfb: Pulling fs layer
2025-12-04T08:54:35.7171075Z a6f4ec14b42b: Waiting
2025-12-04T08:54:35.7171406Z b4f78730cfe7: Pulling fs layer
2025-12-04T08:54:35.7172004Z e7b8cf2e8d5a: Waiting
2025-12-04T08:54:35.7172340Z 081028f24389: Pulling fs layer
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2025-12-04T08:54:35.7173107Z 2e77500302cc: Pulling fs layer
2025-12-04T08:54:35.7173479Z 7e5a0c956cfb: Waiting
2025-12-04T08:54:35.7173798Z b4f78730cfe7: Waiting
2025-12-04T08:54:35.7174135Z bc08246bb4ba: Pulling fs layer
2025-12-04T08:54:35.7174501Z 081028f24389: Waiting
2025-12-04T08:54:35.7174811Z 2e77500302cc: Waiting
2025-12-04T08:54:35.7175136Z ff0c473ca120: Pulling fs layer
2025-12-04T08:54:35.7175525Z 6bbc14b250ef: Pulling fs layer
2025-12-04T08:54:35.7175911Z bc08246bb4ba: Waiting
2025-12-04T08:54:35.7176232Z ff0c473ca120: Waiting
2025-12-04T08:54:35.7176549Z 6bbc14b250ef: Waiting
2025-12-04T08:54:36.3051179Z 835841cca3b7: Verifying Checksum
2025-12-04T08:54:36.3051725Z 835841cca3b7: Download complete
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2025-12-04T08:54:38.4813632Z 63e5bc7682b8: Pull complete
2025-12-04T08:54:38.4939860Z 835841cca3b7: Pull complete
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2025-12-04T08:54:38.8144323Z 522eab2402e5: Download complete
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2025-12-04T08:57:17.1204247Z 99b1f1ea3e85: Verifying Checksum
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2025-12-04T09:21:01.3791841Z b4f78730cfe7: Verifying Checksum
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2025-12-04T09:24:56.1406023Z Digest: sha256:5e190224966743059cf8506170eaec525eada34e38cf646e02d1dbeadfe5a366
2025-12-04T09:24:56.1412450Z Status: Downloaded newer image for 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-rocm-n-py3-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T09:24:56.1423920Z 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-rocm-n-py3-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T09:24:56.1534808Z Prepare all required actions
2025-12-04T09:24:56.1583273Z ##[group]Run ./.github/actions/get-workflow-job-id
2025-12-04T09:24:56.1583771Z with:
2025-12-04T09:24:56.1584462Z   github-token: ***
2025-12-04T09:24:56.1584783Z env:
2025-12-04T09:24:56.1585083Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:24:56.1585558Z   RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts
2025-12-04T09:24:56.1586217Z   RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results
2025-12-04T09:24:56.1586890Z   RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs
2025-12-04T09:24:56.1588843Z   GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 110 --device /dev/dri/renderD136 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host
2025-12-04T09:24:56.1590562Z   AWS_DEFAULT_REGION: us-east-1
2025-12-04T09:24:56.1590959Z   AWS_REGION: us-east-1
2025-12-04T09:24:56.1591373Z   AWS_ACCESS_KEY_ID: ***
2025-12-04T09:24:56.1591934Z   AWS_SECRET_ACCESS_KEY: ***
2025-12-04T09:24:56.1602268Z   AWS_SESSION_TOKEN: ***
2025-12-04T09:24:56.1602625Z ##[endgroup]
2025-12-04T09:24:56.1621554Z ##[group]Run set -eux
2025-12-04T09:24:56.1621922Z set -eux
2025-12-04T09:24:56.1622558Z python3 .github/scripts/get_workflow_job_id.py "${GITHUB_RUN_ID}" "${RUNNER_NAME}"
2025-12-04T09:24:56.1633022Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:24:56.1633556Z env:
2025-12-04T09:24:56.1633858Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:24:56.1634334Z   RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts
2025-12-04T09:24:56.1634998Z   RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results
2025-12-04T09:24:56.1635622Z   RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs
2025-12-04T09:24:56.1637230Z   GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 110 --device /dev/dri/renderD136 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host
2025-12-04T09:24:56.1638980Z   AWS_DEFAULT_REGION: us-east-1
2025-12-04T09:24:56.1639380Z   AWS_REGION: us-east-1
2025-12-04T09:24:56.1639879Z   AWS_ACCESS_KEY_ID: ***
2025-12-04T09:24:56.1640420Z   AWS_SECRET_ACCESS_KEY: ***
2025-12-04T09:24:56.1650549Z   AWS_SESSION_TOKEN: ***
2025-12-04T09:24:56.1651073Z   GITHUB_TOKEN: ***
2025-12-04T09:24:56.1651388Z ##[endgroup]
2025-12-04T09:24:56.1680818Z + python3 .github/scripts/get_workflow_job_id.py 19922849170 linux.rocm.gpu.gfx942.1.b-gwk9b-runner-qzcsp
2025-12-04T09:24:57.2939370Z Setting output job-id=57116213160
2025-12-04T09:24:57.2940547Z Setting output job-name=linux-jammy-rocm-py3.10 / test (default, 2, 6, linux.rocm.gpu.gfx942.1.b, rerun_disabled_tests, unstable)
2025-12-04T09:24:57.3151433Z Prepare all required actions
2025-12-04T09:24:57.3152278Z Getting action download info
2025-12-04T09:24:57.7153551Z Download action repository 'seemethere/download-artifact-s3@v4' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6)
2025-12-04T09:24:58.8179324Z Download action repository 'actions/download-artifact@v4' (SHA:d3f86a106a0bac45b974a628896c90dbdf5c8093)
2025-12-04T09:25:02.1732954Z ##[group]Run ./.github/actions/download-build-artifacts
2025-12-04T09:25:02.1733138Z with:
2025-12-04T09:25:02.1733246Z   name: linux-jammy-rocm-py3.10
2025-12-04T09:25:02.1733385Z   s3-bucket: gha-artifacts
2025-12-04T09:25:02.1733496Z env:
2025-12-04T09:25:02.1733587Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:25:02.1733730Z   RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts
2025-12-04T09:25:02.1733940Z   RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results
2025-12-04T09:25:02.1734148Z   RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs
2025-12-04T09:25:02.1734690Z   GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 110 --device /dev/dri/renderD136 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host
2025-12-04T09:25:02.1735219Z   AWS_DEFAULT_REGION: us-east-1
2025-12-04T09:25:02.1735361Z   AWS_REGION: us-east-1
2025-12-04T09:25:02.1735529Z   AWS_ACCESS_KEY_ID: ***
2025-12-04T09:25:02.1735694Z   AWS_SECRET_ACCESS_KEY: ***
2025-12-04T09:25:02.1738921Z   AWS_SESSION_TOKEN: ***
2025-12-04T09:25:02.1739035Z ##[endgroup]
2025-12-04T09:25:02.1752107Z ##[group]Run seemethere/download-artifact-s3@v4
2025-12-04T09:25:02.1752255Z with:
2025-12-04T09:25:02.1752356Z   name: linux-jammy-rocm-py3.10
2025-12-04T09:25:02.1752483Z   s3-bucket: gha-artifacts
2025-12-04T09:25:02.1752599Z   region: us-east-1
2025-12-04T09:25:02.1752694Z env:
2025-12-04T09:25:02.1752783Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:25:02.1752926Z   RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts
2025-12-04T09:25:02.1753135Z   RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results
2025-12-04T09:25:02.1753343Z   RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs
2025-12-04T09:25:02.1753868Z   GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 110 --device /dev/dri/renderD136 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host
2025-12-04T09:25:02.1754381Z   AWS_DEFAULT_REGION: us-east-1
2025-12-04T09:25:02.1754507Z   AWS_REGION: us-east-1
2025-12-04T09:25:02.1754652Z   AWS_ACCESS_KEY_ID: ***
2025-12-04T09:25:02.1754829Z   AWS_SECRET_ACCESS_KEY: ***
2025-12-04T09:25:02.1758155Z   AWS_SESSION_TOKEN: ***
2025-12-04T09:25:02.1758270Z ##[endgroup]
2025-12-04T09:25:02.4051405Z (node:17243) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023.
2025-12-04T09:25:02.4052242Z 
2025-12-04T09:25:02.4052567Z Please migrate your code to use AWS SDK for JavaScript (v3).
2025-12-04T09:25:02.4053405Z For more information, check the migration guide at https://a.co/7PzMCcy
2025-12-04T09:25:02.4054280Z (Use `node --trace-warnings ...` to show where the warning was created)
2025-12-04T09:25:02.6907369Z Found 1 objects with prefix pytorch/pytorch/19922849170/linux-jammy-rocm-py3.10/
2025-12-04T09:25:02.6908563Z Starting download (1/1): /home/runner/_work/pytorch/pytorch/artifacts.zip
2025-12-04T09:27:00.9949247Z Finished download (1/1): /home/runner/_work/pytorch/pytorch/artifacts.zip
2025-12-04T09:27:00.9962328Z Artifact download has finished successfully
2025-12-04T09:27:01.0264561Z ##[group]Run unzip -o artifacts.zip
2025-12-04T09:27:01.0265077Z unzip -o artifacts.zip
2025-12-04T09:27:01.0275106Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:27:01.0275664Z env:
2025-12-04T09:27:01.0275967Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:27:01.0306740Z   RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts
2025-12-04T09:27:01.0307966Z   RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results
2025-12-04T09:27:01.0308739Z   RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs
2025-12-04T09:27:01.0310850Z   GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 110 --device /dev/dri/renderD136 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host
2025-12-04T09:27:01.0312698Z   AWS_DEFAULT_REGION: us-east-1
2025-12-04T09:27:01.0313143Z   AWS_REGION: us-east-1
2025-12-04T09:27:01.0313650Z   AWS_ACCESS_KEY_ID: ***
2025-12-04T09:27:01.0314207Z   AWS_SECRET_ACCESS_KEY: ***
2025-12-04T09:27:01.0327072Z   AWS_SESSION_TOKEN: ***
2025-12-04T09:27:01.0327460Z ##[endgroup]
2025-12-04T09:27:01.0390998Z Archive:  artifacts.zip
2025-12-04T09:27:01.0392516Z    creating: dist/
2025-12-04T09:27:01.0478384Z   inflating: dist/.ninja_log         
2025-12-04T09:27:03.9562109Z   inflating: dist/torch-2.10.0a0+gitffd9b0f-cp310-cp310-linux_x86_64.whl  
2025-12-04T09:27:03.9566057Z    creating: build/
2025-12-04T09:27:03.9566905Z    creating: build/custom_test_artifacts/
2025-12-04T09:27:03.9567598Z    creating: build/custom_test_artifacts/custom-op-build/
2025-12-04T09:27:03.9568456Z    creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/
2025-12-04T09:27:03.9569369Z    creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/pkgRedirects/
2025-12-04T09:27:03.9571310Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/CMakeConfigureLog.yaml  
2025-12-04T09:27:03.9572074Z    creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.31.6/
2025-12-04T09:27:03.9572792Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.31.6/CMakeSystem.cmake  
2025-12-04T09:27:03.9573606Z    creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.31.6/CompilerIdC/
2025-12-04T09:27:03.9574362Z    creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.31.6/CompilerIdC/tmp/
2025-12-04T09:27:03.9575237Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.31.6/CompilerIdC/CMakeCCompilerId.c  
2025-12-04T09:27:03.9576123Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.31.6/CompilerIdC/a.out  
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2025-12-04T09:27:03.9577757Z    creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.31.6/CompilerIdCXX/
2025-12-04T09:27:03.9578589Z    creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.31.6/CompilerIdCXX/tmp/
2025-12-04T09:27:03.9579498Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/3.31.6/CompilerIdCXX/CMakeCXXCompilerId.cpp  
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2025-12-04T09:27:03.9582858Z    creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/CMakeScratch/
2025-12-04T09:27:03.9583539Z    creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/CMakeTmp/
2025-12-04T09:27:03.9584011Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/cmake.check_cache  
2025-12-04T09:27:03.9584506Z    creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/custom_ops.dir/
2025-12-04T09:27:03.9585063Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/custom_ops.dir/compiler_depend.ts  
2025-12-04T09:27:03.9585701Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/custom_ops.dir/compiler_depend.make  
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2025-12-04T09:27:03.9589210Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/custom_ops.dir/DependInfo.cmake  
2025-12-04T09:27:03.9589802Z   inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/custom_ops.dir/flags.make  
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2025-12-04T09:27:07.7366568Z   inflating: build/bin/c10_exception_test  
2025-12-04T09:27:07.7401272Z   inflating: build/bin/c10_complex_math_test  
2025-12-04T09:27:07.7432299Z   inflating: build/bin/c10_flags_test  
2025-12-04T09:27:07.7463651Z   inflating: build/bin/c10_irange_test  
2025-12-04T09:27:07.7494638Z   inflating: build/bin/c10_generic_math_test  
2025-12-04T09:27:07.7585492Z   inflating: build/bin/c10_intrusive_ptr_test  
2025-12-04T09:27:07.7620209Z   inflating: build/bin/c10_logging_test  
2025-12-04T09:27:07.7650771Z   inflating: build/bin/c10_nofatal_test  
2025-12-04T09:27:07.7683221Z   inflating: build/bin/c10_lazy_test  
2025-12-04T09:27:07.7720932Z   inflating: build/bin/c10_ordered_preserving_dict_test  
2025-12-04T09:27:07.7753542Z   inflating: build/bin/c10_registry_test  
2025-12-04T09:27:07.7784912Z   inflating: build/bin/c10_ssize_test  
2025-12-04T09:27:07.7829768Z   inflating: build/bin/c10_optional_test  
2025-12-04T09:27:07.7917280Z   inflating: build/bin/c10_small_vector_test  
2025-12-04T09:27:07.7951928Z   inflating: build/bin/c10_string_util_test  
2025-12-04T09:27:07.7982446Z   inflating: build/bin/c10_tempfile_test  
2025-12-04T09:27:07.8012617Z   inflating: build/bin/c10_string_view_test  
2025-12-04T09:27:07.8039552Z   inflating: build/bin/c10_intrusive_ptr_benchmark  
2025-12-04T09:27:07.8073576Z   inflating: build/bin/c10_typeid_test  
2025-12-04T09:27:07.8103824Z   inflating: build/bin/c10_hip_HIPAssertionsTest_1_var_test  
2025-12-04T09:27:07.8134292Z   inflating: build/bin/c10_hip_HIPAssertionsTest_catches_stream  
2025-12-04T09:27:07.8164619Z   inflating: build/bin/c10_hip_HIPAssertionsTest_catches_thread_and_block_and_device  
2025-12-04T09:27:07.8194541Z   inflating: build/bin/c10_hip_HIPAssertionsTest_from_2_processes  
2025-12-04T09:27:07.8225295Z   inflating: build/bin/c10_hip_HIPAssertionsTest_multiple_writes_from_blocks_and_threads  
2025-12-04T09:27:07.8255533Z   inflating: build/bin/c10_hip_HIPAssertionsTest_multiple_writes_from_multiple_blocks  
2025-12-04T09:27:07.8285520Z   inflating: build/bin/c10_hip_HIPAssertionsTest_multiple_writes_from_same_block  
2025-12-04T09:27:07.8315886Z   inflating: build/bin/c10_hip_HIPTest  
2025-12-04T09:27:07.8642265Z   inflating: build/bin/vec_test_all_types_DEFAULT  
2025-12-04T09:27:07.8977042Z   inflating: build/bin/vec_test_all_types_AVX512  
2025-12-04T09:27:07.9318906Z   inflating: build/bin/vec_test_all_types_AVX2  
2025-12-04T09:27:07.9376435Z   inflating: build/bin/test_aoti_abi_check  
2025-12-04T09:27:07.9406784Z   inflating: build/bin/test_vec_half_DEFAULT  
2025-12-04T09:27:07.9437387Z   inflating: build/bin/test_vec_half_AVX2  
2025-12-04T09:27:07.9467938Z   inflating: build/bin/test_vec_half_AVX512  
2025-12-04T09:27:07.9500097Z   inflating: build/bin/BackoffTest   
2025-12-04T09:27:07.9532524Z   inflating: build/bin/FileStoreTest  
2025-12-04T09:27:07.9567060Z   inflating: build/bin/TCPStoreTest  
2025-12-04T09:27:07.9601166Z   inflating: build/bin/HashStoreTest  
2025-12-04T09:27:07.9641465Z   inflating: build/bin/ProcessGroupGlooTest  
2025-12-04T09:27:07.9642980Z   inflating: build/bin/example_allreduce  
2025-12-04T09:27:07.9645051Z   inflating: build/bin/torch_shm_manager  
2025-12-04T09:27:07.9678340Z   inflating: build/bin/static_runtime_bench  
2025-12-04T09:27:07.9821474Z   inflating: build/bin/static_runtime_test  
2025-12-04T09:27:07.9865199Z   inflating: build/bin/Dict_test     
2025-12-04T09:27:07.9897283Z   inflating: build/bin/Dimname_test  
2025-12-04T09:27:07.9936228Z   inflating: build/bin/MaybeOwned_test  
2025-12-04T09:27:07.9970731Z   inflating: build/bin/NamedTensor_test  
2025-12-04T09:27:08.0006498Z   inflating: build/bin/apply_utils_test  
2025-12-04T09:27:08.0042431Z   inflating: build/bin/atest         
2025-12-04T09:27:08.0080905Z   inflating: build/bin/basic         
2025-12-04T09:27:08.0114009Z   inflating: build/bin/broadcast_test  
2025-12-04T09:27:08.0145175Z   inflating: build/bin/cpu_allocator_test  
2025-12-04T09:27:08.0180483Z   inflating: build/bin/cpu_generator_test  
2025-12-04T09:27:08.0212604Z   inflating: build/bin/cpu_profiling_allocator_test  
2025-12-04T09:27:08.0267492Z   inflating: build/bin/cpu_rng_test  
2025-12-04T09:27:08.0299407Z   inflating: build/bin/dlconvertor_test  
2025-12-04T09:27:08.0334371Z   inflating: build/bin/extension_backend_test  
2025-12-04T09:27:08.0368179Z   inflating: build/bin/half_test     
2025-12-04T09:27:08.0425829Z   inflating: build/bin/ivalue_test   
2025-12-04T09:27:08.0456148Z   inflating: build/bin/lazy_tensor_test  
2025-12-04T09:27:08.0488568Z   inflating: build/bin/math_kernel_test  
2025-12-04T09:27:08.0520793Z   inflating: build/bin/memory_format_test  
2025-12-04T09:27:08.0553419Z   inflating: build/bin/memory_overlapping_test  
2025-12-04T09:27:08.0585965Z   inflating: build/bin/mobile_memory_cleanup  
2025-12-04T09:27:08.0620041Z   inflating: build/bin/native_test   
2025-12-04T09:27:08.0651339Z   inflating: build/bin/operator_name_test  
2025-12-04T09:27:08.0682375Z   inflating: build/bin/operators_test  
2025-12-04T09:27:08.0714275Z   inflating: build/bin/packedtensoraccessor_test  
2025-12-04T09:27:08.0754751Z   inflating: build/bin/pow_test      
2025-12-04T09:27:08.0789384Z   inflating: build/bin/quantized_test  
2025-12-04T09:27:08.0820046Z   inflating: build/bin/reduce_ops_test  
2025-12-04T09:27:08.0851606Z   inflating: build/bin/reportMemoryUsage_test  
2025-12-04T09:27:08.0885457Z   inflating: build/bin/scalar_tensor_test  
2025-12-04T09:27:08.0920266Z   inflating: build/bin/scalar_test   
2025-12-04T09:27:08.0951968Z   inflating: build/bin/StorageUtils_test  
2025-12-04T09:27:08.0985061Z   inflating: build/bin/stride_properties_test  
2025-12-04T09:27:08.1032367Z   inflating: build/bin/tensor_iterator_test  
2025-12-04T09:27:08.1065397Z   inflating: build/bin/test_parallel  
2025-12-04T09:27:08.1096493Z   inflating: build/bin/thread_init_test  
2025-12-04T09:27:08.1130034Z   inflating: build/bin/type_ptr_test  
2025-12-04T09:27:08.1165801Z   inflating: build/bin/type_test     
2025-12-04T09:27:08.1197763Z   inflating: build/bin/undefined_tensor_test  
2025-12-04T09:27:08.1228062Z   inflating: build/bin/verify_api_visibility  
2025-12-04T09:27:08.1270571Z   inflating: build/bin/legacy_vmap_test  
2025-12-04T09:27:08.1301971Z   inflating: build/bin/weakref_test  
2025-12-04T09:27:08.1333483Z   inflating: build/bin/wrapdim_test  
2025-12-04T09:27:08.1394703Z   inflating: build/bin/List_test     
2025-12-04T09:27:08.1426234Z   inflating: build/bin/xla_tensor_test  
2025-12-04T09:27:08.1462177Z   inflating: build/bin/IListRef_test  
2025-12-04T09:27:08.1531880Z   inflating: build/bin/kernel_function_legacy_test  
2025-12-04T09:27:08.1571630Z   inflating: build/bin/KernelFunction_test  
2025-12-04T09:27:08.1628224Z   inflating: build/bin/kernel_function_test  
2025-12-04T09:27:08.1701703Z   inflating: build/bin/kernel_lambda_legacy_test  
2025-12-04T09:27:08.1761456Z   inflating: build/bin/kernel_lambda_test  
2025-12-04T09:27:08.1797839Z   inflating: build/bin/kernel_stackbased_test  
2025-12-04T09:27:08.1854072Z   inflating: build/bin/make_boxed_from_unboxed_functor_test  
2025-12-04T09:27:08.1885376Z   inflating: build/bin/CppSignature_test  
2025-12-04T09:27:08.1915492Z   inflating: build/bin/op_allowlist_test  
2025-12-04T09:27:08.2092051Z   inflating: build/bin/op_registration_test  
2025-12-04T09:27:08.2122401Z   inflating: build/bin/hip_complex_math_test  
2025-12-04T09:27:08.2155948Z   inflating: build/bin/backend_fallback_test  
2025-12-04T09:27:08.2186070Z   inflating: build/bin/hip_complex_test  
2025-12-04T09:27:08.2226580Z   inflating: build/bin/inline_container_test  
2025-12-04T09:27:08.2258800Z   inflating: build/bin/hip_apply_test  
2025-12-04T09:27:08.2288952Z   inflating: build/bin/hip_distributions_test  
2025-12-04T09:27:08.2318978Z   inflating: build/bin/hip_generator_test  
2025-12-04T09:27:08.2349238Z   inflating: build/bin/hip_half_test  
2025-12-04T09:27:08.2379253Z   inflating: build/bin/hip_integer_divider_test  
2025-12-04T09:27:08.2409331Z   inflating: build/bin/hip_optional_test  
2025-12-04T09:27:08.2439607Z   inflating: build/bin/hip_packedtensoraccessor_test  
2025-12-04T09:27:08.2469566Z   inflating: build/bin/hip_vectorized_test  
2025-12-04T09:27:08.2501199Z   inflating: build/bin/hip_dlconvertor_test  
2025-12-04T09:27:08.3120348Z   inflating: build/bin/test_jit      
2025-12-04T09:27:08.3318837Z   inflating: build/bin/test_lazy     
2025-12-04T09:27:08.3352809Z   inflating: build/bin/test_dist_autograd  
2025-12-04T09:27:08.3393613Z   inflating: build/bin/test_cpp_rpc  
2025-12-04T09:27:08.3394535Z   inflating: build/bin/parallel_benchmark  
2025-12-04T09:27:08.4050639Z   inflating: build/bin/test_api      
2025-12-04T09:27:08.4051148Z    creating: .additional_ci_files/
2025-12-04T09:27:08.4086697Z   inflating: .additional_ci_files/test-times.json  
2025-12-04T09:27:08.4218017Z   inflating: .additional_ci_files/test-class-times.json  
2025-12-04T09:27:08.4257833Z ##[group]Run rm artifacts.zip
2025-12-04T09:27:08.4258005Z rm artifacts.zip
2025-12-04T09:27:08.4262791Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:27:08.4262965Z env:
2025-12-04T09:27:08.4263073Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:27:08.4263226Z   RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts
2025-12-04T09:27:08.4263433Z   RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results
2025-12-04T09:27:08.4263625Z   RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs
2025-12-04T09:27:08.4264143Z   GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 110 --device /dev/dri/renderD136 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host
2025-12-04T09:27:08.4264696Z   AWS_DEFAULT_REGION: us-east-1
2025-12-04T09:27:08.4264831Z   AWS_REGION: us-east-1
2025-12-04T09:27:08.4265046Z   AWS_ACCESS_KEY_ID: ***
2025-12-04T09:27:08.4265329Z   AWS_SECRET_ACCESS_KEY: ***
2025-12-04T09:27:08.4268425Z   AWS_SESSION_TOKEN: ***
2025-12-04T09:27:08.4268587Z ##[endgroup]
2025-12-04T09:27:08.5077427Z ##[group]Run df -H
2025-12-04T09:27:08.5077775Z df -H
2025-12-04T09:27:08.5086478Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:27:08.5087019Z env:
2025-12-04T09:27:08.5087316Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:27:08.5087783Z   RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts
2025-12-04T09:27:08.5088795Z   RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results
2025-12-04T09:27:08.5089414Z   RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs
2025-12-04T09:27:08.5091006Z   GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 110 --device /dev/dri/renderD136 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host
2025-12-04T09:27:08.5092568Z   AWS_DEFAULT_REGION: us-east-1
2025-12-04T09:27:08.5092995Z   AWS_REGION: us-east-1
2025-12-04T09:27:08.5093520Z   AWS_ACCESS_KEY_ID: ***
2025-12-04T09:27:08.5094124Z   AWS_SECRET_ACCESS_KEY: ***
2025-12-04T09:27:08.5104544Z   AWS_SESSION_TOKEN: ***
2025-12-04T09:27:08.5104903Z ##[endgroup]
2025-12-04T09:27:08.5644704Z Filesystem      Size  Used Avail Use% Mounted on
2025-12-04T09:27:08.5645291Z overlay          16T  753G   15T   5% /
2025-12-04T09:27:08.5645940Z tmpfs            68M     0   68M   0% /dev
2025-12-04T09:27:08.5646496Z /dev/md0         16T  753G   15T   5% /run
2025-12-04T09:27:08.5647027Z shm              68M  4.1k   68M   1% /dev/shm
2025-12-04T09:27:08.5647625Z amdprj2-k8s_2   5.5T  120G  5.4T   3% /home/runner/pytorch-data
2025-12-04T09:27:08.5648489Z tmpfs           3.3T   13k  3.3T   1% /run/secrets/kubernetes.io/serviceaccount
2025-12-04T09:27:08.5649108Z tmpfs           1.7T     0  1.7T   0% /proc/acpi
2025-12-04T09:27:08.5649599Z tmpfs           1.7T     0  1.7T   0% /proc/scsi
2025-12-04T09:27:08.5650093Z tmpfs           1.7T     0  1.7T   0% /sys/firmware
2025-12-04T09:27:08.5650675Z tmpfs           1.7T     0  1.7T   0% /sys/devices/virtual/powercap
2025-12-04T09:27:08.5705881Z Prepare all required actions
2025-12-04T09:27:08.5706429Z Getting action download info
2025-12-04T09:27:08.9633161Z ##[group]Run ./.github/actions/download-td-artifacts
2025-12-04T09:27:08.9633727Z with:
2025-12-04T09:27:08.9634015Z env:
2025-12-04T09:27:08.9634327Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:27:08.9634817Z   RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts
2025-12-04T09:27:08.9635491Z   RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results
2025-12-04T09:27:08.9636171Z   RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs
2025-12-04T09:27:08.9637823Z   GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 110 --device /dev/dri/renderD136 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host
2025-12-04T09:27:08.9639501Z   AWS_DEFAULT_REGION: us-east-1
2025-12-04T09:27:08.9640383Z   AWS_REGION: us-east-1
2025-12-04T09:27:08.9640899Z   AWS_ACCESS_KEY_ID: ***
2025-12-04T09:27:08.9641506Z   AWS_SECRET_ACCESS_KEY: ***
2025-12-04T09:27:08.9651709Z   AWS_SESSION_TOKEN: ***
2025-12-04T09:27:08.9652065Z ##[endgroup]
2025-12-04T09:27:08.9691789Z ##[group]Run seemethere/download-artifact-s3@v4
2025-12-04T09:27:08.9692276Z with:
2025-12-04T09:27:08.9692571Z   name: td_results
2025-12-04T09:27:08.9692908Z   s3-bucket: gha-artifacts
2025-12-04T09:27:08.9693283Z   region: us-east-1
2025-12-04T09:27:08.9693594Z env:
2025-12-04T09:27:08.9693889Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:27:08.9694364Z   RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts
2025-12-04T09:27:08.9695046Z   RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results
2025-12-04T09:27:08.9695674Z   RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs
2025-12-04T09:27:08.9697305Z   GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 110 --device /dev/dri/renderD136 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host
2025-12-04T09:27:08.9699283Z   AWS_DEFAULT_REGION: us-east-1
2025-12-04T09:27:08.9699689Z   AWS_REGION: us-east-1
2025-12-04T09:27:08.9700143Z   AWS_ACCESS_KEY_ID: ***
2025-12-04T09:27:08.9700678Z   AWS_SECRET_ACCESS_KEY: ***
2025-12-04T09:27:08.9711181Z   AWS_SESSION_TOKEN: ***
2025-12-04T09:27:08.9711533Z ##[endgroup]
2025-12-04T09:27:09.1999770Z (node:17283) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023.
2025-12-04T09:27:09.2000594Z 
2025-12-04T09:27:09.2000908Z Please migrate your code to use AWS SDK for JavaScript (v3).
2025-12-04T09:27:09.2001706Z For more information, check the migration guide at https://a.co/7PzMCcy
2025-12-04T09:27:09.2002522Z (Use `node --trace-warnings ...` to show where the warning was created)
2025-12-04T09:27:09.4693152Z Found 1 objects with prefix pytorch/pytorch/19922849170/td_results/
2025-12-04T09:27:09.4694030Z Starting download (1/1): /home/runner/_work/pytorch/pytorch/td_results.json
2025-12-04T09:27:09.9043555Z Finished download (1/1): /home/runner/_work/pytorch/pytorch/td_results.json
2025-12-04T09:27:09.9052542Z Artifact download has finished successfully
2025-12-04T09:27:09.9314506Z ##[group]Run mkdir -p .additional_ci_files
2025-12-04T09:27:09.9315052Z mkdir -p .additional_ci_files
2025-12-04T09:27:09.9315672Z mv td_results.json .additional_ci_files/td_results.json || true
2025-12-04T09:27:09.9326333Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:27:09.9326868Z env:
2025-12-04T09:27:09.9327163Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:27:09.9327630Z   RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts
2025-12-04T09:27:09.9328384Z   RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results
2025-12-04T09:27:09.9329008Z   RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs
2025-12-04T09:27:09.9330921Z   GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 110 --device /dev/dri/renderD136 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host
2025-12-04T09:27:09.9332657Z   AWS_DEFAULT_REGION: us-east-1
2025-12-04T09:27:09.9333085Z   AWS_REGION: us-east-1
2025-12-04T09:27:09.9333796Z   AWS_ACCESS_KEY_ID: ***
2025-12-04T09:27:09.9334375Z   AWS_SECRET_ACCESS_KEY: ***
2025-12-04T09:27:09.9344772Z   AWS_SESSION_TOKEN: ***
2025-12-04T09:27:09.9345126Z ##[endgroup]
2025-12-04T09:27:09.9463854Z ##[group]Run .github/scripts/parse_ref.py
2025-12-04T09:27:09.9464475Z .github/scripts/parse_ref.py
2025-12-04T09:27:09.9478872Z shell: /usr/bin/bash -e {0}
2025-12-04T09:27:09.9479231Z env:
2025-12-04T09:27:09.9479560Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:27:09.9480057Z   RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts
2025-12-04T09:27:09.9480756Z   RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results
2025-12-04T09:27:09.9481395Z   RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs
2025-12-04T09:27:09.9483056Z   GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 110 --device /dev/dri/renderD136 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host
2025-12-04T09:27:09.9484801Z   AWS_DEFAULT_REGION: us-east-1
2025-12-04T09:27:09.9485211Z   AWS_REGION: us-east-1
2025-12-04T09:27:09.9485754Z   AWS_ACCESS_KEY_ID: ***
2025-12-04T09:27:09.9486355Z   AWS_SECRET_ACCESS_KEY: ***
2025-12-04T09:27:09.9496798Z   AWS_SESSION_TOKEN: ***
2025-12-04T09:27:09.9497162Z ##[endgroup]
2025-12-04T09:27:09.9623939Z Setting output branch=main
2025-12-04T09:27:09.9872748Z Prepare all required actions
2025-12-04T09:27:09.9873339Z Getting action download info
2025-12-04T09:27:10.2440206Z ##[group]Run ./.github/actions/filter-test-configs
2025-12-04T09:27:10.2440704Z with:
2025-12-04T09:27:10.2441322Z   github-token: ***
2025-12-04T09:27:10.2456007Z   test-matrix: {"include": [{"config": "default", "shard": 1, "num_shards": 6, "runner": "linux.rocm.gpu.gfx942.1.b", "mem_leak_check": "mem_leak_check", "unstable": "unstable"}, {"config": "default", "shard": 1, "num_shards": 6, "runner": "linux.rocm.gpu.gfx942.1.b", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable"}, {"config": "default", "shard": 2, "num_shards": 6, "runner": "linux.rocm.gpu.gfx942.1.b", "mem_leak_check": "mem_leak_check", "unstable": "unstable"}, {"config": "default", "shard": 2, "num_shards": 6, "runner": "linux.rocm.gpu.gfx942.1.b", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable"}, {"config": "default", "shard": 3, "num_shards": 6, "runner": "linux.rocm.gpu.gfx942.1.b", "mem_leak_check": "mem_leak_check", "unstable": "unstable"}, {"config": "default", "shard": 3, "num_shards": 6, "runner": "linux.rocm.gpu.gfx942.1.b", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable"}, {"config": "default", "shard": 4, "num_shards": 6, "runner": "linux.rocm.gpu.gfx942.1.b", "mem_leak_check": "mem_leak_check", "unstable": "unstable"}, {"config": "default", "shard": 4, "num_shards": 6, "runner": "linux.rocm.gpu.gfx942.1.b", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable"}, {"config": "default", "shard": 5, "num_shards": 6, "runner": "linux.rocm.gpu.gfx942.1.b", "mem_leak_check": "mem_leak_check", "unstable": "unstable"}, {"config": "default", "shard": 5, "num_shards": 6, "runner": "linux.rocm.gpu.gfx942.1.b", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable"}, {"config": "default", "shard": 6, "num_shards": 6, "runner": "linux.rocm.gpu.gfx942.1.b", "mem_leak_check": "mem_leak_check", "unstable": "unstable"}, {"config": "default", "shard": 6, "num_shards": 6, "runner": "linux.rocm.gpu.gfx942.1.b", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable"}, {"config": "distributed", "shard": 1, "num_shards": 3, "runner": "linux.rocm.gpu.gfx942.4.b", "mem_leak_check": "mem_leak_check", "unstable": "unstable"}, {"config": "distributed", "shard": 1, "num_shards": 3, "runner": "linux.rocm.gpu.gfx942.4.b", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable"}, {"config": "distributed", "shard": 2, "num_shards": 3, "runner": "linux.rocm.gpu.gfx942.4.b", "mem_leak_check": "mem_leak_check", "unstable": "unstable"}, {"config": "distributed", "shard": 2, "num_shards": 3, "runner": "linux.rocm.gpu.gfx942.4.b", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable"}, {"config": "distributed", "shard": 3, "num_shards": 3, "runner": "linux.rocm.gpu.gfx942.4.b", "mem_leak_check": "mem_leak_check", "unstable": "unstable"}, {"config": "distributed", "shard": 3, "num_shards": 3, "runner": "linux.rocm.gpu.gfx942.4.b", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable"}]}
2025-12-04T09:27:10.2472085Z   job-name: linux-jammy-rocm-py3.10 / test (default, 2, 6, linux.rocm.gpu.gfx942.1.b, rerun_disabled_tests, unstable)
2025-12-04T09:27:10.2472929Z env:
2025-12-04T09:27:10.2473235Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:27:10.2473718Z   RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts
2025-12-04T09:27:10.2474380Z   RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results
2025-12-04T09:27:10.2475005Z   RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs
2025-12-04T09:27:10.2476638Z   GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 110 --device /dev/dri/renderD136 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host
2025-12-04T09:27:10.2478344Z   AWS_DEFAULT_REGION: us-east-1
2025-12-04T09:27:10.2478743Z   AWS_REGION: us-east-1
2025-12-04T09:27:10.2479355Z   AWS_ACCESS_KEY_ID: ***
2025-12-04T09:27:10.2479890Z   AWS_SECRET_ACCESS_KEY: ***
2025-12-04T09:27:10.2490137Z   AWS_SESSION_TOKEN: ***
2025-12-04T09:27:10.2490485Z ##[endgroup]
2025-12-04T09:27:10.2539170Z ##[group]Run nick-fields/retry@v3.0.0
2025-12-04T09:27:10.2539605Z with:
2025-12-04T09:27:10.2539891Z   shell: bash
2025-12-04T09:27:10.2540194Z   timeout_minutes: 10
2025-12-04T09:27:10.2540527Z   max_attempts: 5
2025-12-04T09:27:10.2540852Z   retry_wait_seconds: 30
2025-12-04T09:27:10.2542181Z   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

2025-12-04T09:27:10.2543436Z   polling_interval_seconds: 1
2025-12-04T09:27:10.2543876Z   warning_on_retry: true
2025-12-04T09:27:10.2544255Z   continue_on_error: false
2025-12-04T09:27:10.2544611Z env:
2025-12-04T09:27:10.2544901Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:27:10.2545378Z   RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts
2025-12-04T09:27:10.2546054Z   RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results
2025-12-04T09:27:10.2546682Z   RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs
2025-12-04T09:27:10.2548357Z   GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 110 --device /dev/dri/renderD136 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host
2025-12-04T09:27:10.2549955Z   AWS_DEFAULT_REGION: us-east-1
2025-12-04T09:27:10.2550354Z   AWS_REGION: us-east-1
2025-12-04T09:27:10.2550787Z   AWS_ACCESS_KEY_ID: ***
2025-12-04T09:27:10.2551315Z   AWS_SECRET_ACCESS_KEY: ***
2025-12-04T09:27:10.2561491Z   AWS_SESSION_TOKEN: ***
2025-12-04T09:27:10.2562011Z   GITHUB_TOKEN: ***
2025-12-04T09:27:10.2562327Z ##[endgroup]
2025-12-04T09:27:10.2975874Z + python3 -m pip install requests==2.27.1 pyyaml==6.0.2
2025-12-04T09:27:10.4392832Z Defaulting to user installation because normal site-packages is not writeable
2025-12-04T09:27:10.5364895Z Collecting requests==2.27.1
2025-12-04T09:27:10.5864632Z   Downloading requests-2.27.1-py2.py3-none-any.whl (63 kB)
2025-12-04T09:27:10.5964631Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 63.1/63.1 KB 6.3 MB/s eta 0:00:00
2025-12-04T09:27:10.6413198Z Collecting pyyaml==6.0.2
2025-12-04T09:27:10.6557250Z   Downloading PyYAML-6.0.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (751 kB)
2025-12-04T09:27:10.7272336Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 751.2/751.2 KB 10.8 MB/s eta 0:00:00
2025-12-04T09:27:10.7744759Z Collecting urllib3<1.27,>=1.21.1
2025-12-04T09:27:10.7798353Z   Downloading urllib3-1.26.20-py2.py3-none-any.whl (144 kB)
2025-12-04T09:27:10.7922558Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 144.2/144.2 KB 13.0 MB/s eta 0:00:00
2025-12-04T09:27:10.8832606Z Collecting charset-normalizer~=2.0.0
2025-12-04T09:27:10.8889910Z   Downloading charset_normalizer-2.0.12-py3-none-any.whl (39 kB)
2025-12-04T09:27:10.9071638Z Collecting idna<4,>=2.5
2025-12-04T09:27:10.9128717Z   Downloading idna-3.11-py3-none-any.whl (71 kB)
2025-12-04T09:27:10.9193428Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 71.0/71.0 KB 11.5 MB/s eta 0:00:00
2025-12-04T09:27:10.9376898Z Collecting certifi>=2017.4.17
2025-12-04T09:27:10.9433899Z   Downloading certifi-2025.11.12-py3-none-any.whl (159 kB)
2025-12-04T09:27:10.9559648Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 159.4/159.4 KB 13.5 MB/s eta 0:00:00
2025-12-04T09:27:11.0120968Z Installing collected packages: urllib3, pyyaml, idna, charset-normalizer, certifi, requests
2025-12-04T09:27:11.1045623Z   WARNING: The script normalizer is installed in '/home/runner/.local/bin' which is not on PATH.
2025-12-04T09:27:11.1046989Z   Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location.
2025-12-04T09:27:11.1216683Z Successfully installed certifi-2025.11.12 charset-normalizer-2.0.12 idna-3.11 pyyaml-6.0.2 requests-2.27.1 urllib3-1.26.20
2025-12-04T09:27:11.2972925Z Command completed after 1 attempt(s).
2025-12-04T09:27:11.3040805Z ##[group]Run set -x
2025-12-04T09:27:11.3040948Z set -x
2025-12-04T09:27:11.3041052Z 
2025-12-04T09:27:11.3041224Z # Use relative path here as this could be checked out anywhere, not necessarily
2025-12-04T09:27:11.3041457Z # in runner workspace
2025-12-04T09:27:11.3041634Z python3 "${GITHUB_ACTION_PATH}/../../scripts/parse_ref.py"
2025-12-04T09:27:11.3046625Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:27:11.3046951Z env:
2025-12-04T09:27:11.3047053Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:27:11.3047200Z   RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts
2025-12-04T09:27:11.3047411Z   RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results
2025-12-04T09:27:11.3047615Z   RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs
2025-12-04T09:27:11.3048175Z   GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 110 --device /dev/dri/renderD136 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host
2025-12-04T09:27:11.3048695Z   AWS_DEFAULT_REGION: us-east-1
2025-12-04T09:27:11.3048826Z   AWS_REGION: us-east-1
2025-12-04T09:27:11.3049009Z   AWS_ACCESS_KEY_ID: ***
2025-12-04T09:27:11.3049179Z   AWS_SECRET_ACCESS_KEY: ***
2025-12-04T09:27:11.3052457Z   AWS_SESSION_TOKEN: ***
2025-12-04T09:27:11.3052582Z ##[endgroup]
2025-12-04T09:27:11.3077098Z + python3 /home/runner/_work/pytorch/pytorch/./.github/actions/filter-test-configs/../../scripts/parse_ref.py
2025-12-04T09:27:11.3166778Z Setting output branch=main
2025-12-04T09:27:11.3216975Z ##[group]Run echo "Workflow: ${GITHUB_WORKFLOW}"
2025-12-04T09:27:11.3217594Z echo "Workflow: ${GITHUB_WORKFLOW}"
2025-12-04T09:27:11.3218466Z echo "Job name: ${JOB_NAME}"
2025-12-04T09:27:11.3218889Z 
2025-12-04T09:27:11.3219425Z # Use relative path here as this could be checked out anywhere, not necessarily
2025-12-04T09:27:11.3220139Z # in runner workspace
2025-12-04T09:27:11.3220759Z python3 "${GITHUB_ACTION_PATH}/../../scripts/filter_test_configs.py" \
2025-12-04T09:27:11.3221482Z   --workflow "${GITHUB_WORKFLOW}" \
2025-12-04T09:27:11.3221959Z   --job-name "${JOB_NAME}" \
2025-12-04T09:27:11.3237352Z   --test-matrix "{"include": [{"config": "default", "shard": 1, "num_shards": 6, "runner": "linux.rocm.gpu.gfx942.1.b", "mem_leak_check": "mem_leak_check", "unstable": "unstable"}, {"config": "default", "shard": 1, "num_shards": 6, "runner": "linux.rocm.gpu.gfx942.1.b", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable"}, {"config": "default", "shard": 2, "num_shards": 6, "runner": "linux.rocm.gpu.gfx942.1.b", "mem_leak_check": "mem_leak_check", "unstable": "unstable"}, {"config": "default", "shard": 2, "num_shards": 6, "runner": "linux.rocm.gpu.gfx942.1.b", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable"}, {"config": "default", "shard": 3, "num_shards": 6, "runner": "linux.rocm.gpu.gfx942.1.b", "mem_leak_check": "mem_leak_check", "unstable": "unstable"}, {"config": "default", "shard": 3, "num_shards": 6, "runner": "linux.rocm.gpu.gfx942.1.b", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable"}, {"config": "default", "shard": 4, "num_shards": 6, "runner": "linux.rocm.gpu.gfx942.1.b", "mem_leak_check": "mem_leak_check", "unstable": "unstable"}, {"config": "default", "shard": 4, "num_shards": 6, "runner": "linux.rocm.gpu.gfx942.1.b", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable"}, {"config": "default", "shard": 5, "num_shards": 6, "runner": "linux.rocm.gpu.gfx942.1.b", "mem_leak_check": "mem_leak_check", "unstable": "unstable"}, {"config": "default", "shard": 5, "num_shards": 6, "runner": "linux.rocm.gpu.gfx942.1.b", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable"}, {"config": "default", "shard": 6, "num_shards": 6, "runner": "linux.rocm.gpu.gfx942.1.b", "mem_leak_check": "mem_leak_check", "unstable": "unstable"}, {"config": "default", "shard": 6, "num_shards": 6, "runner": "linux.rocm.gpu.gfx942.1.b", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable"}, {"config": "distributed", "shard": 1, "num_shards": 3, "runner": "linux.rocm.gpu.gfx942.4.b", "mem_leak_check": "mem_leak_check", "unstable": "unstable"}, {"config": "distributed", "shard": 1, "num_shards": 3, "runner": "linux.rocm.gpu.gfx942.4.b", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable"}, {"config": "distributed", "shard": 2, "num_shards": 3, "runner": "linux.rocm.gpu.gfx942.4.b", "mem_leak_check": "mem_leak_check", "unstable": "unstable"}, {"config": "distributed", "shard": 2, "num_shards": 3, "runner": "linux.rocm.gpu.gfx942.4.b", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable"}, {"config": "distributed", "shard": 3, "num_shards": 3, "runner": "linux.rocm.gpu.gfx942.4.b", "mem_leak_check": "mem_leak_check", "unstable": "unstable"}, {"config": "distributed", "shard": 3, "num_shards": 3, "runner": "linux.rocm.gpu.gfx942.4.b", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable"}]}" \
2025-12-04T09:27:11.3251885Z   --selected-test-configs "" \
2025-12-04T09:27:11.3252384Z   --pr-number "${PR_NUMBER}" \
2025-12-04T09:27:11.3252838Z   --tag "${TAG}" \
2025-12-04T09:27:11.3253257Z   --event-name "${EVENT_NAME}" \
2025-12-04T09:27:11.3253714Z   --schedule "${SCHEDULE}" \
2025-12-04T09:27:11.3254162Z   --branch "${HEAD_BRANCH}"
2025-12-04T09:27:11.3263680Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:27:11.3264221Z env:
2025-12-04T09:27:11.3264524Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:27:11.3264999Z   RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts
2025-12-04T09:27:11.3265667Z   RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results
2025-12-04T09:27:11.3266300Z   RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs
2025-12-04T09:27:11.3267912Z   GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 110 --device /dev/dri/renderD136 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host
2025-12-04T09:27:11.3269551Z   AWS_DEFAULT_REGION: us-east-1
2025-12-04T09:27:11.3269960Z   AWS_REGION: us-east-1
2025-12-04T09:27:11.3270437Z   AWS_ACCESS_KEY_ID: ***
2025-12-04T09:27:11.3270988Z   AWS_SECRET_ACCESS_KEY: ***
2025-12-04T09:27:11.3281320Z   AWS_SESSION_TOKEN: ***
2025-12-04T09:27:11.3281937Z   GITHUB_TOKEN: ***
2025-12-04T09:27:11.3282758Z   JOB_NAME: linux-jammy-rocm-py3.10 / test (default, 2, 6, linux.rocm.gpu.gfx942.1.b, rerun_disabled_tests, unstable)
2025-12-04T09:27:11.3283672Z   PR_NUMBER: 
2025-12-04T09:27:11.3283989Z   TAG: 
2025-12-04T09:27:11.3284287Z   EVENT_NAME: schedule
2025-12-04T09:27:11.3284652Z   SCHEDULE: 29 8 * * *
2025-12-04T09:27:11.3285006Z   HEAD_BRANCH: main
2025-12-04T09:27:11.3285340Z ##[endgroup]
2025-12-04T09:27:11.3324013Z Workflow: trunk-rocm-mi300
2025-12-04T09:27:11.3325400Z Job name: linux-jammy-rocm-py3.10 / test (default, 2, 6, linux.rocm.gpu.gfx942.1.b, rerun_disabled_tests, unstable)
2025-12-04T09:27:11.9091147Z INFO:root:Issue https://github.com/pytorch/pytorch/issues/167616 created by jithunnair-amd has unstable all the test jobs for trunk-rocm-mi300 / linux-jammy-rocm-py3.10 / test (default, 2, 6, linux.rocm.gpu.gfx942.1.b, rerun_disabled_tests, unstable)
2025-12-04T09:27:12.5008607Z Setting output keep-going=True
2025-12-04T09:27:12.5009878Z Setting output ci-verbose-test-logs=False
2025-12-04T09:27:12.5010502Z Setting output ci-test-showlocals=False
2025-12-04T09:27:12.5011515Z Setting output ci-no-test-timeout=False
2025-12-04T09:27:12.5012079Z Setting output ci-no-td=False
2025-12-04T09:27:12.5012657Z Setting output ci-td-distributed=False
2025-12-04T09:27:12.5013236Z Setting output is-unstable=True
2025-12-04T09:27:12.5013788Z Setting output reenabled-issues=
2025-12-04T09:27:12.5046918Z Setting output test-matrix={"include": [{"config": "default", "shard": 1, "num_shards": 6, "runner": "linux.rocm.gpu.gfx942.1.b", "mem_leak_check": "mem_leak_check", "unstable": "unstable"}, {"config": "default", "shard": 1, "num_shards": 6, "runner": "linux.rocm.gpu.gfx942.1.b", "mem_leak_check": "mem_leak_check", "unstable": "unstable", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 1, "num_shards": 6, "runner": "linux.rocm.gpu.gfx942.1.b", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable", "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 1, "num_shards": 6, "runner": "linux.rocm.gpu.gfx942.1.b", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable"}, {"config": "default", "shard": 2, "num_shards": 6, "runner": "linux.rocm.gpu.gfx942.1.b", "mem_leak_check": "mem_leak_check", "unstable": "unstable"}, {"config": "default", "shard": 2, "num_shards": 6, "runner": "linux.rocm.gpu.gfx942.1.b", "mem_leak_check": "mem_leak_check", "unstable": "unstable", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 2, "num_shards": 6, "runner": "linux.rocm.gpu.gfx942.1.b", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable", "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 2, "num_shards": 6, "runner": "linux.rocm.gpu.gfx942.1.b", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable"}, {"config": "default", "shard": 3, "num_shards": 6, "runner": "linux.rocm.gpu.gfx942.1.b", "mem_leak_check": "mem_leak_check", "unstable": "unstable"}, {"config": "default", "shard": 3, "num_shards": 6, "runner": "linux.rocm.gpu.gfx942.1.b", "mem_leak_check": "mem_leak_check", "unstable": "unstable", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 3, "num_shards": 6, "runner": "linux.rocm.gpu.gfx942.1.b", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable", "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 3, "num_shards": 6, "runner": "linux.rocm.gpu.gfx942.1.b", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable"}, {"config": "default", "shard": 4, "num_shards": 6, "runner": "linux.rocm.gpu.gfx942.1.b", "mem_leak_check": "mem_leak_check", "unstable": "unstable"}, {"config": "default", "shard": 4, "num_shards": 6, "runner": "linux.rocm.gpu.gfx942.1.b", "mem_leak_check": "mem_leak_check", "unstable": "unstable", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 4, "num_shards": 6, "runner": "linux.rocm.gpu.gfx942.1.b", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable", "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 4, "num_shards": 6, "runner": "linux.rocm.gpu.gfx942.1.b", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable"}, {"config": "default", "shard": 5, "num_shards": 6, "runner": "linux.rocm.gpu.gfx942.1.b", "mem_leak_check": "mem_leak_check", "unstable": "unstable"}, {"config": "default", "shard": 5, "num_shards": 6, "runner": "linux.rocm.gpu.gfx942.1.b", "mem_leak_check": "mem_leak_check", "unstable": "unstable", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 5, "num_shards": 6, "runner": "linux.rocm.gpu.gfx942.1.b", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable", "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 5, "num_shards": 6, "runner": "linux.rocm.gpu.gfx942.1.b", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable"}, {"config": "default", "shard": 6, "num_shards": 6, "runner": "linux.rocm.gpu.gfx942.1.b", "mem_leak_check": "mem_leak_check", "unstable": "unstable"}, {"config": "default", "shard": 6, "num_shards": 6, "runner": "linux.rocm.gpu.gfx942.1.b", "mem_leak_check": "mem_leak_check", "unstable": "unstable", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 6, "num_shards": 6, "runner": "linux.rocm.gpu.gfx942.1.b", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable", "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 6, "num_shards": 6, "runner": "linux.rocm.gpu.gfx942.1.b", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable"}, {"config": "distributed", "shard": 1, "num_shards": 3, "runner": "linux.rocm.gpu.gfx942.4.b", "mem_leak_check": "mem_leak_check", "unstable": "unstable"}, {"config": "distributed", "shard": 1, "num_shards": 3, "runner": "linux.rocm.gpu.gfx942.4.b", "mem_leak_check": "mem_leak_check", "unstable": "unstable", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "distributed", "shard": 1, "num_shards": 3, "runner": "linux.rocm.gpu.gfx942.4.b", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable", "mem_leak_check": "mem_leak_check"}, {"config": "distributed", "shard": 1, "num_shards": 3, "runner": "linux.rocm.gpu.gfx942.4.b", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable"}, {"config": "distributed", "shard": 2, "num_shards": 3, "runner": "linux.rocm.gpu.gfx942.4.b", "mem_leak_check": "mem_leak_check", "unstable": "unstable"}, {"config": "distributed", "shard": 2, "num_shards": 3, "runner": "linux.rocm.gpu.gfx942.4.b", "mem_leak_check": "mem_leak_check", "unstable": "unstable", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "distributed", "shard": 2, "num_shards": 3, "runner": "linux.rocm.gpu.gfx942.4.b", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable", "mem_leak_check": "mem_leak_check"}, {"config": "distributed", "shard": 2, "num_shards": 3, "runner": "linux.rocm.gpu.gfx942.4.b", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable"}, {"config": "distributed", "shard": 3, "num_shards": 3, "runner": "linux.rocm.gpu.gfx942.4.b", "mem_leak_check": "mem_leak_check", "unstable": "unstable"}, {"config": "distributed", "shard": 3, "num_shards": 3, "runner": "linux.rocm.gpu.gfx942.4.b", "mem_leak_check": "mem_leak_check", "unstable": "unstable", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "distributed", "shard": 3, "num_shards": 3, "runner": "linux.rocm.gpu.gfx942.4.b", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable", "mem_leak_check": "mem_leak_check"}, {"config": "distributed", "shard": 3, "num_shards": 3, "runner": "linux.rocm.gpu.gfx942.4.b", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable"}]}
2025-12-04T09:27:12.5080030Z Setting output is-test-matrix-empty=False
2025-12-04T09:27:12.5204694Z ##[group]Run echo "Filtered matrix:"
2025-12-04T09:27:12.5205497Z echo "Filtered matrix:"
2025-12-04T09:27:12.5236987Z echo "{"include": [{"config": "default", "shard": 1, "num_shards": 6, "runner": "linux.rocm.gpu.gfx942.1.b", "mem_leak_check": "mem_leak_check", "unstable": "unstable"}, {"config": "default", "shard": 1, "num_shards": 6, "runner": "linux.rocm.gpu.gfx942.1.b", "mem_leak_check": "mem_leak_check", "unstable": "unstable", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 1, "num_shards": 6, "runner": "linux.rocm.gpu.gfx942.1.b", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable", "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 1, "num_shards": 6, "runner": "linux.rocm.gpu.gfx942.1.b", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable"}, {"config": "default", "shard": 2, "num_shards": 6, "runner": "linux.rocm.gpu.gfx942.1.b", "mem_leak_check": "mem_leak_check", "unstable": "unstable"}, {"config": "default", "shard": 2, "num_shards": 6, "runner": "linux.rocm.gpu.gfx942.1.b", "mem_leak_check": "mem_leak_check", "unstable": "unstable", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 2, "num_shards": 6, "runner": "linux.rocm.gpu.gfx942.1.b", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable", "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 2, "num_shards": 6, "runner": "linux.rocm.gpu.gfx942.1.b", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable"}, {"config": "default", "shard": 3, "num_shards": 6, "runner": "linux.rocm.gpu.gfx942.1.b", "mem_leak_check": "mem_leak_check", "unstable": "unstable"}, {"config": "default", "shard": 3, "num_shards": 6, "runner": "linux.rocm.gpu.gfx942.1.b", "mem_leak_check": "mem_leak_check", "unstable": "unstable", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 3, "num_shards": 6, "runner": "linux.rocm.gpu.gfx942.1.b", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable", "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 3, "num_shards": 6, "runner": "linux.rocm.gpu.gfx942.1.b", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable"}, {"config": "default", "shard": 4, "num_shards": 6, "runner": "linux.rocm.gpu.gfx942.1.b", "mem_leak_check": "mem_leak_check", "unstable": "unstable"}, {"config": "default", "shard": 4, "num_shards": 6, "runner": "linux.rocm.gpu.gfx942.1.b", "mem_leak_check": "mem_leak_check", "unstable": "unstable", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 4, "num_shards": 6, "runner": "linux.rocm.gpu.gfx942.1.b", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable", "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 4, "num_shards": 6, "runner": "linux.rocm.gpu.gfx942.1.b", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable"}, {"config": "default", "shard": 5, "num_shards": 6, "runner": "linux.rocm.gpu.gfx942.1.b", "mem_leak_check": "mem_leak_check", "unstable": "unstable"}, {"config": "default", "shard": 5, "num_shards": 6, "runner": "linux.rocm.gpu.gfx942.1.b", "mem_leak_check": "mem_leak_check", "unstable": "unstable", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 5, "num_shards": 6, "runner": "linux.rocm.gpu.gfx942.1.b", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable", "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 5, "num_shards": 6, "runner": "linux.rocm.gpu.gfx942.1.b", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable"}, {"config": "default", "shard": 6, "num_shards": 6, "runner": "linux.rocm.gpu.gfx942.1.b", "mem_leak_check": "mem_leak_check", "unstable": "unstable"}, {"config": "default", "shard": 6, "num_shards": 6, "runner": "linux.rocm.gpu.gfx942.1.b", "mem_leak_check": "mem_leak_check", "unstable": "unstable", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "default", "shard": 6, "num_shards": 6, "runner": "linux.rocm.gpu.gfx942.1.b", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable", "mem_leak_check": "mem_leak_check"}, {"config": "default", "shard": 6, "num_shards": 6, "runner": "linux.rocm.gpu.gfx942.1.b", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable"}, {"config": "distributed", "shard": 1, "num_shards": 3, "runner": "linux.rocm.gpu.gfx942.4.b", "mem_leak_check": "mem_leak_check", "unstable": "unstable"}, {"config": "distributed", "shard": 1, "num_shards": 3, "runner": "linux.rocm.gpu.gfx942.4.b", "mem_leak_check": "mem_leak_check", "unstable": "unstable", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "distributed", "shard": 1, "num_shards": 3, "runner": "linux.rocm.gpu.gfx942.4.b", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable", "mem_leak_check": "mem_leak_check"}, {"config": "distributed", "shard": 1, "num_shards": 3, "runner": "linux.rocm.gpu.gfx942.4.b", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable"}, {"config": "distributed", "shard": 2, "num_shards": 3, "runner": "linux.rocm.gpu.gfx942.4.b", "mem_leak_check": "mem_leak_check", "unstable": "unstable"}, {"config": "distributed", "shard": 2, "num_shards": 3, "runner": "linux.rocm.gpu.gfx942.4.b", "mem_leak_check": "mem_leak_check", "unstable": "unstable", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "distributed", "shard": 2, "num_shards": 3, "runner": "linux.rocm.gpu.gfx942.4.b", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable", "mem_leak_check": "mem_leak_check"}, {"config": "distributed", "shard": 2, "num_shards": 3, "runner": "linux.rocm.gpu.gfx942.4.b", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable"}, {"config": "distributed", "shard": 3, "num_shards": 3, "runner": "linux.rocm.gpu.gfx942.4.b", "mem_leak_check": "mem_leak_check", "unstable": "unstable"}, {"config": "distributed", "shard": 3, "num_shards": 3, "runner": "linux.rocm.gpu.gfx942.4.b", "mem_leak_check": "mem_leak_check", "unstable": "unstable", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "distributed", "shard": 3, "num_shards": 3, "runner": "linux.rocm.gpu.gfx942.4.b", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable", "mem_leak_check": "mem_leak_check"}, {"config": "distributed", "shard": 3, "num_shards": 3, "runner": "linux.rocm.gpu.gfx942.4.b", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable"}]}"
2025-12-04T09:27:12.5269887Z 
2025-12-04T09:27:12.5270345Z echo
2025-12-04T09:27:12.5270807Z echo "Is the current job unstable? True"
2025-12-04T09:27:12.5271403Z 
2025-12-04T09:27:12.5271778Z echo
2025-12-04T09:27:12.5272232Z echo "Is keep-going label set? True"
2025-12-04T09:27:12.5272803Z 
2025-12-04T09:27:12.5273156Z echo
2025-12-04T09:27:12.5273567Z echo "Reenabled issues? "
2025-12-04T09:27:12.5283816Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:27:12.5284513Z env:
2025-12-04T09:27:12.5285193Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:27:12.5285762Z   RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts
2025-12-04T09:27:12.5286598Z   RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results
2025-12-04T09:27:12.5287370Z   RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs
2025-12-04T09:27:12.5289203Z   GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 110 --device /dev/dri/renderD136 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host
2025-12-04T09:27:12.5290997Z   AWS_DEFAULT_REGION: us-east-1
2025-12-04T09:27:12.5291687Z   AWS_REGION: us-east-1
2025-12-04T09:27:12.5292308Z   AWS_ACCESS_KEY_ID: ***
2025-12-04T09:27:12.5292954Z   AWS_SECRET_ACCESS_KEY: ***
2025-12-04T09:27:12.5303150Z   AWS_SESSION_TOKEN: ***
2025-12-04T09:27:12.5303652Z ##[endgroup]
2025-12-04T09:27:12.5344622Z Filtered matrix:
2025-12-04T09:27:12.5380528Z {include: [{config: default, shard: 1, num_shards: 6, runner: linux.rocm.gpu.gfx942.1.b, mem_leak_check: mem_leak_check, unstable: unstable}, {config: default, shard: 1, num_shards: 6, runner: linux.rocm.gpu.gfx942.1.b, mem_leak_check: mem_leak_check, unstable: unstable, rerun_disabled_tests: rerun_disabled_tests}, {config: default, shard: 1, num_shards: 6, runner: linux.rocm.gpu.gfx942.1.b, rerun_disabled_tests: rerun_disabled_tests, unstable: unstable, mem_leak_check: mem_leak_check}, {config: default, shard: 1, num_shards: 6, runner: linux.rocm.gpu.gfx942.1.b, rerun_disabled_tests: rerun_disabled_tests, unstable: unstable}, {config: default, shard: 2, num_shards: 6, runner: linux.rocm.gpu.gfx942.1.b, mem_leak_check: mem_leak_check, unstable: unstable}, {config: default, shard: 2, num_shards: 6, runner: linux.rocm.gpu.gfx942.1.b, mem_leak_check: mem_leak_check, unstable: unstable, rerun_disabled_tests: rerun_disabled_tests}, {config: default, shard: 2, num_shards: 6, runner: linux.rocm.gpu.gfx942.1.b, rerun_disabled_tests: rerun_disabled_tests, unstable: unstable, mem_leak_check: mem_leak_check}, {config: default, shard: 2, num_shards: 6, runner: linux.rocm.gpu.gfx942.1.b, rerun_disabled_tests: rerun_disabled_tests, unstable: unstable}, {config: default, shard: 3, num_shards: 6, runner: linux.rocm.gpu.gfx942.1.b, mem_leak_check: mem_leak_check, unstable: unstable}, {config: default, shard: 3, num_shards: 6, runner: linux.rocm.gpu.gfx942.1.b, mem_leak_check: mem_leak_check, unstable: unstable, rerun_disabled_tests: rerun_disabled_tests}, {config: default, shard: 3, num_shards: 6, runner: linux.rocm.gpu.gfx942.1.b, rerun_disabled_tests: rerun_disabled_tests, unstable: unstable, mem_leak_check: mem_leak_check}, {config: default, shard: 3, num_shards: 6, runner: linux.rocm.gpu.gfx942.1.b, rerun_disabled_tests: rerun_disabled_tests, unstable: unstable}, {config: default, shard: 4, num_shards: 6, runner: linux.rocm.gpu.gfx942.1.b, mem_leak_check: mem_leak_check, unstable: unstable}, {config: default, shard: 4, num_shards: 6, runner: linux.rocm.gpu.gfx942.1.b, mem_leak_check: mem_leak_check, unstable: unstable, rerun_disabled_tests: rerun_disabled_tests}, {config: default, shard: 4, num_shards: 6, runner: linux.rocm.gpu.gfx942.1.b, rerun_disabled_tests: rerun_disabled_tests, unstable: unstable, mem_leak_check: mem_leak_check}, {config: default, shard: 4, num_shards: 6, runner: linux.rocm.gpu.gfx942.1.b, rerun_disabled_tests: rerun_disabled_tests, unstable: unstable}, {config: default, shard: 5, num_shards: 6, runner: linux.rocm.gpu.gfx942.1.b, mem_leak_check: mem_leak_check, unstable: unstable}, {config: default, shard: 5, num_shards: 6, runner: linux.rocm.gpu.gfx942.1.b, mem_leak_check: mem_leak_check, unstable: unstable, rerun_disabled_tests: rerun_disabled_tests}, {config: default, shard: 5, num_shards: 6, runner: linux.rocm.gpu.gfx942.1.b, rerun_disabled_tests: rerun_disabled_tests, unstable: unstable, mem_leak_check: mem_leak_check}, {config: default, shard: 5, num_shards: 6, runner: linux.rocm.gpu.gfx942.1.b, rerun_disabled_tests: rerun_disabled_tests, unstable: unstable}, {config: default, shard: 6, num_shards: 6, runner: linux.rocm.gpu.gfx942.1.b, mem_leak_check: mem_leak_check, unstable: unstable}, {config: default, shard: 6, num_shards: 6, runner: linux.rocm.gpu.gfx942.1.b, mem_leak_check: mem_leak_check, unstable: unstable, rerun_disabled_tests: rerun_disabled_tests}, {config: default, shard: 6, num_shards: 6, runner: linux.rocm.gpu.gfx942.1.b, rerun_disabled_tests: rerun_disabled_tests, unstable: unstable, mem_leak_check: mem_leak_check}, {config: default, shard: 6, num_shards: 6, runner: linux.rocm.gpu.gfx942.1.b, rerun_disabled_tests: rerun_disabled_tests, unstable: unstable}, {config: distributed, shard: 1, num_shards: 3, runner: linux.rocm.gpu.gfx942.4.b, mem_leak_check: mem_leak_check, unstable: unstable}, {config: distributed, shard: 1, num_shards: 3, runner: linux.rocm.gpu.gfx942.4.b, mem_leak_check: mem_leak_check, unstable: unstable, rerun_disabled_tests: rerun_disabled_tests}, {config: distributed, shard: 1, num_shards: 3, runner: linux.rocm.gpu.gfx942.4.b, rerun_disabled_tests: rerun_disabled_tests, unstable: unstable, mem_leak_check: mem_leak_check}, {config: distributed, shard: 1, num_shards: 3, runner: linux.rocm.gpu.gfx942.4.b, rerun_disabled_tests: rerun_disabled_tests, unstable: unstable}, {config: distributed, shard: 2, num_shards: 3, runner: linux.rocm.gpu.gfx942.4.b, mem_leak_check: mem_leak_check, unstable: unstable}, {config: distributed, shard: 2, num_shards: 3, runner: linux.rocm.gpu.gfx942.4.b, mem_leak_check: mem_leak_check, unstable: unstable, rerun_disabled_tests: rerun_disabled_tests}, {config: distributed, shard: 2, num_shards: 3, runner: linux.rocm.gpu.gfx942.4.b, rerun_disabled_tests: rerun_disabled_tests, unstable: unstable, mem_leak_check: mem_leak_check}, {config: distributed, shard: 2, num_shards: 3, runner: linux.rocm.gpu.gfx942.4.b, rerun_disabled_tests: rerun_disabled_tests, unstable: unstable}, {config: distributed, shard: 3, num_shards: 3, runner: linux.rocm.gpu.gfx942.4.b, mem_leak_check: mem_leak_check, unstable: unstable}, {config: distributed, shard: 3, num_shards: 3, runner: linux.rocm.gpu.gfx942.4.b, mem_leak_check: mem_leak_check, unstable: unstable, rerun_disabled_tests: rerun_disabled_tests}, {config: distributed, shard: 3, num_shards: 3, runner: linux.rocm.gpu.gfx942.4.b, rerun_disabled_tests: rerun_disabled_tests, unstable: unstable, mem_leak_check: mem_leak_check}, {config: distributed, shard: 3, num_shards: 3, runner: linux.rocm.gpu.gfx942.4.b, rerun_disabled_tests: rerun_disabled_tests, unstable: unstable}]}
2025-12-04T09:27:12.5414515Z 
2025-12-04T09:27:12.5414918Z Is the current job unstable? True
2025-12-04T09:27:12.5415242Z 
2025-12-04T09:27:12.5415475Z Is keep-going label set? True
2025-12-04T09:27:12.5415796Z 
2025-12-04T09:27:12.5415980Z Reenabled issues? 
2025-12-04T09:27:12.5476178Z ##[group]Run echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}"
2025-12-04T09:27:12.5476940Z echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}"
2025-12-04T09:27:12.5485554Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:27:12.5486222Z env:
2025-12-04T09:27:12.5486528Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:27:12.5486999Z   RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts
2025-12-04T09:27:12.5487668Z   RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results
2025-12-04T09:27:12.5488371Z   RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs
2025-12-04T09:27:12.5489996Z   GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 110 --device /dev/dri/renderD136 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host
2025-12-04T09:27:12.5491568Z   AWS_DEFAULT_REGION: us-east-1
2025-12-04T09:27:12.5491979Z   AWS_REGION: us-east-1
2025-12-04T09:27:12.5492468Z   AWS_ACCESS_KEY_ID: ***
2025-12-04T09:27:12.5493069Z   AWS_SECRET_ACCESS_KEY: ***
2025-12-04T09:27:12.5503189Z   AWS_SESSION_TOKEN: ***
2025-12-04T09:27:12.5503547Z   JOB_TIMEOUT: 300
2025-12-04T09:27:12.5503869Z ##[endgroup]
2025-12-04T09:27:12.5578890Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-12-04T09:27:12.5579673Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-12-04T09:27:12.5580344Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-12-04T09:27:12.5590436Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T09:27:12.5590977Z env:
2025-12-04T09:27:12.5591281Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:27:12.5591754Z   RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts
2025-12-04T09:27:12.5592415Z   RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results
2025-12-04T09:27:12.5593036Z   RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs
2025-12-04T09:27:12.5594634Z   GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 110 --device /dev/dri/renderD136 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host
2025-12-04T09:27:12.5596230Z   AWS_DEFAULT_REGION: us-east-1
2025-12-04T09:27:12.5596668Z   AWS_REGION: us-east-1
2025-12-04T09:27:12.5597184Z   AWS_ACCESS_KEY_ID: ***
2025-12-04T09:27:12.5597768Z   AWS_SECRET_ACCESS_KEY: ***
2025-12-04T09:27:12.5608301Z   AWS_SESSION_TOKEN: ***
2025-12-04T09:27:12.5608676Z ##[endgroup]
2025-12-04T09:27:12.5761051Z ##[group]Run set -x
2025-12-04T09:27:12.5761519Z set -x
2025-12-04T09:27:12.5761825Z 
2025-12-04T09:27:12.5762173Z if [[ $TEST_CONFIG == 'multigpu' ]]; then
2025-12-04T09:27:12.5762764Z   TEST_COMMAND=.ci/pytorch/multigpu-test.sh
2025-12-04T09:27:12.5763345Z elif [[ $BUILD_ENVIRONMENT == *onnx* ]]; then
2025-12-04T09:27:12.5763907Z   TEST_COMMAND=.ci/caffe2/test.sh
2025-12-04T09:27:12.5764371Z else
2025-12-04T09:27:12.5764722Z   TEST_COMMAND=.ci/pytorch/test.sh
2025-12-04T09:27:12.5765158Z fi
2025-12-04T09:27:12.5765437Z 
2025-12-04T09:27:12.5765955Z # detached container should get cleaned up by teardown_ec2_linux
2025-12-04T09:27:12.5766784Z # TODO: Stop building test binaries as part of the build phase
2025-12-04T09:27:12.5767469Z # Used for GPU_FLAG since that doesn't play nice
2025-12-04T09:27:12.5768060Z # shellcheck disable=SC2086,SC2090
2025-12-04T09:27:12.5768932Z container_name=$(docker run \
2025-12-04T09:27:12.5769412Z   ${GPU_FLAG:-} \
2025-12-04T09:27:12.5769842Z   -e BUILD_ENVIRONMENT \
2025-12-04T09:27:12.5770299Z   -e PR_NUMBER \
2025-12-04T09:27:12.5770707Z   -e GITHUB_ACTIONS \
2025-12-04T09:27:12.5771142Z   -e GITHUB_REPOSITORY \
2025-12-04T09:27:12.5771589Z   -e GITHUB_WORKFLOW \
2025-12-04T09:27:12.5772020Z   -e GITHUB_JOB \
2025-12-04T09:27:12.5772426Z   -e GITHUB_RUN_ID \
2025-12-04T09:27:12.5772848Z   -e GITHUB_RUN_NUMBER \
2025-12-04T09:27:12.5773303Z   -e GITHUB_RUN_ATTEMPT \
2025-12-04T09:27:12.5773750Z   -e JOB_ID \
2025-12-04T09:27:12.5774320Z   -e JOB_NAME \
2025-12-04T09:27:12.5774706Z   -e BASE_SHA \
2025-12-04T09:27:12.5775081Z   -e BRANCH \
2025-12-04T09:27:12.5775448Z   -e SHA1 \
2025-12-04T09:27:12.5775826Z   -e AWS_DEFAULT_REGION \
2025-12-04T09:27:12.5776278Z   -e IN_WHEEL_TEST \
2025-12-04T09:27:12.5776698Z   -e SHARD_NUMBER \
2025-12-04T09:27:12.5777114Z   -e TEST_CONFIG \
2025-12-04T09:27:12.5777534Z   -e NUM_TEST_SHARDS \
2025-12-04T09:27:12.5777978Z   -e REENABLED_ISSUES \
2025-12-04T09:27:12.5778499Z   -e CONTINUE_THROUGH_ERROR \
2025-12-04T09:27:12.5778977Z   -e VERBOSE_TEST_LOGS \
2025-12-04T09:27:12.5779426Z   -e TEST_SHOWLOCALS \
2025-12-04T09:27:12.5779855Z   -e NO_TEST_TIMEOUT \
2025-12-04T09:27:12.5780268Z   -e NO_TD \
2025-12-04T09:27:12.5780691Z   -e MAX_JOBS="$(nproc --ignore=2)" \
2025-12-04T09:27:12.5781247Z   -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK \
2025-12-04T09:27:12.5781818Z   -e PYTORCH_TEST_RERUN_DISABLED_TESTS \
2025-12-04T09:27:12.5782341Z   -e TESTS_TO_INCLUDE \
2025-12-04T09:27:12.5782798Z   -e HUGGING_FACE_HUB_TOKEN \
2025-12-04T09:27:12.5783272Z   -e DASHBOARD_TAG \
2025-12-04T09:27:12.5783838Z   --env-file="${RUNNER_TEMP}/github_env_${GITHUB_RUN_ID}" \
2025-12-04T09:27:12.5784446Z   --ulimit stack=10485760:83886080 \
2025-12-04T09:27:12.5784928Z   --ulimit core=0 \
2025-12-04T09:27:12.5785408Z   --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \
2025-12-04T09:27:12.5786015Z   --security-opt seccomp=unconfined \
2025-12-04T09:27:12.5786540Z   --cap-add=SYS_PTRACE \
2025-12-04T09:27:12.5786988Z   --shm-size="8g" \
2025-12-04T09:27:12.5787378Z   --tty \
2025-12-04T09:27:12.5787724Z   --detach \
2025-12-04T09:27:12.5788186Z   --name="${container_name}" \
2025-12-04T09:27:12.5788666Z   --user jenkins \
2025-12-04T09:27:12.5789191Z   -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \
2025-12-04T09:27:12.5790243Z   -w /var/lib/jenkins/workspace \
2025-12-04T09:27:12.5790920Z   "${DOCKER_IMAGE}"
2025-12-04T09:27:12.5791304Z )
2025-12-04T09:27:12.5791665Z # save container name for later step
2025-12-04T09:27:12.5792313Z echo "CONTAINER_NAME=${container_name}" >> "$GITHUB_ENV"
2025-12-04T09:27:12.5793542Z # jenkins user does not have write permission to mounted workspace; work-around by copying within container to jenkins home
2025-12-04T09:27:12.5795000Z docker exec -t "${container_name}" sh -c "cd .. && cp -R workspace pytorch && cd pytorch && pip install dist/*.whl && ${TEST_COMMAND}"
2025-12-04T09:27:12.5805056Z shell: /usr/bin/bash -e {0}
2025-12-04T09:27:12.5805432Z env:
2025-12-04T09:27:12.5805729Z   GIT_DEFAULT_BRANCH: main
2025-12-04T09:27:12.5806207Z   RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts
2025-12-04T09:27:12.5806890Z   RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results
2025-12-04T09:27:12.5807519Z   RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs
2025-12-04T09:27:12.5809218Z   GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 110 --device /dev/dri/renderD136 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host
2025-12-04T09:27:12.5810794Z   AWS_DEFAULT_REGION: us-east-1
2025-12-04T09:27:12.5811195Z   AWS_REGION: us-east-1
2025-12-04T09:27:12.5811671Z   AWS_ACCESS_KEY_ID: ***
2025-12-04T09:27:12.5812214Z   AWS_SECRET_ACCESS_KEY: ***
2025-12-04T09:27:12.5822741Z   AWS_SESSION_TOKEN: ***
2025-12-04T09:27:12.5823160Z   BUILD_ENVIRONMENT: linux-jammy-rocm-py3.10
2025-12-04T09:27:12.5823628Z   PR_NUMBER: 
2025-12-04T09:27:12.5823962Z   GITHUB_REPOSITORY: pytorch/pytorch
2025-12-04T09:27:12.5824420Z   GITHUB_WORKFLOW: trunk-rocm-mi300
2025-12-04T09:27:12.5824961Z   GITHUB_JOB: test
2025-12-04T09:27:12.5825293Z   GITHUB_RUN_ID: 19922849170
2025-12-04T09:27:12.5825684Z   GITHUB_RUN_NUMBER: 689
2025-12-04T09:27:12.5826041Z   GITHUB_RUN_ATTEMPT: 1
2025-12-04T09:27:12.5826387Z   JOB_ID: 57116213160
2025-12-04T09:27:12.5827199Z   JOB_NAME: linux-jammy-rocm-py3.10 / test (default, 2, 6, linux.rocm.gpu.gfx942.1.b, rerun_disabled_tests, unstable)
2025-12-04T09:27:12.5828205Z   BRANCH: main
2025-12-04T09:27:12.5828581Z   SHA1: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T09:27:12.5829150Z   BASE_SHA: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T09:27:12.5829645Z   TEST_CONFIG: default
2025-12-04T09:27:12.5829977Z   SHARD_NUMBER: 2
2025-12-04T09:27:12.5830290Z   NUM_TEST_SHARDS: 6
2025-12-04T09:27:12.5830618Z   REENABLED_ISSUES: 
2025-12-04T09:27:12.5830961Z   CONTINUE_THROUGH_ERROR: True
2025-12-04T09:27:12.5831359Z   VERBOSE_TEST_LOGS: False
2025-12-04T09:27:12.5831732Z   TEST_SHOWLOCALS: False
2025-12-04T09:27:12.5832086Z   NO_TEST_TIMEOUT: False
2025-12-04T09:27:12.5832437Z   NO_TD: False
2025-12-04T09:27:12.5833566Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-rocm-n-py3-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T09:27:12.5834863Z   PYTORCH_TEST_CUDA_MEM_LEAK_CHECK: 0
2025-12-04T09:27:12.5835324Z   PYTORCH_TEST_RERUN_DISABLED_TESTS: 1
2025-12-04T09:27:12.5835752Z   TESTS_TO_INCLUDE: 
2025-12-04T09:27:12.5836074Z   DASHBOARD_TAG: 
2025-12-04T09:27:12.5836568Z   HUGGING_FACE_HUB_TOKEN: ***
2025-12-04T09:27:12.5836952Z ##[endgroup]
2025-12-04T09:27:12.5867494Z + [[ default == \m\u\l\t\i\g\p\u ]]
2025-12-04T09:27:12.5867993Z + [[ linux-jammy-rocm-py3.10 == *onnx* ]]
2025-12-04T09:27:12.5868615Z + TEST_COMMAND=.ci/pytorch/test.sh
2025-12-04T09:27:12.5874986Z +++ nproc --ignore=2
2025-12-04T09:27:12.5896548Z ++ docker run --device=/dev/mem --device=/dev/kfd --group-add 110 --device /dev/dri/renderD136 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host -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 MAX_JOBS=126 -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK -e PYTORCH_TEST_RERUN_DISABLED_TESTS -e TESTS_TO_INCLUDE -e HUGGING_FACE_HUB_TOKEN -e DASHBOARD_TAG --env-file=/home/runner/_work/_temp/github_env_19922849170 --ulimit stack=10485760:83886080 --ulimit core=0 --env-file=/tmp/github_env_19922849170 --security-opt seccomp=unconfined --cap-add=SYS_PTRACE --shm-size=8g --tty --detach --name= --user jenkins -v /home/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-rocm-n-py3-f0cd68561080d537ef3d3d6f81b25a6416ad600a
2025-12-04T09:27:13.1651682Z + container_name=26dcc780293f5d2f6bd22d417471dea62d6d3d563f28bf20a2ad583c11ab13e8
2025-12-04T09:27:13.1652060Z + echo CONTAINER_NAME=26dcc780293f5d2f6bd22d417471dea62d6d3d563f28bf20a2ad583c11ab13e8
2025-12-04T09:27:13.1653565Z + docker exec -t 26dcc780293f5d2f6bd22d417471dea62d6d3d563f28bf20a2ad583c11ab13e8 sh -c 'cd .. && cp -R workspace pytorch && cd pytorch && pip install dist/*.whl && .ci/pytorch/test.sh'
2025-12-04T09:27:16.3311457Z Processing ./dist/torch-2.10.0a0+gitffd9b0f-cp310-cp310-linux_x86_64.whl
2025-12-04T09:27:16.8750461Z Requirement already satisfied: filelock in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+gitffd9b0f) (3.18.0)
2025-12-04T09:27:16.8752381Z 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) (4.12.2)
2025-12-04T09:27:16.8754146Z 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) (1.13.3)
2025-12-04T09:27:16.8756251Z 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) (2.8.8)
2025-12-04T09:27:16.8757886Z Requirement already satisfied: jinja2 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+gitffd9b0f) (3.1.6)
2025-12-04T09:27:16.8759605Z 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) (2025.10.0)
2025-12-04T09:27:16.8917924Z 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) (1.3.0)
2025-12-04T09:27:16.8941320Z 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) (3.0.3)
2025-12-04T09:27:17.0881997Z Installing collected packages: torch
2025-12-04T09:27:22.6011668Z Successfully installed torch-2.10.0a0+gitffd9b0f
2025-12-04T09:27:22.6385162Z + export TERM=vt100
2025-12-04T09:27:22.6385565Z + TERM=vt100
2025-12-04T09:27:22.6391969Z ++ dirname .ci/pytorch/test.sh
2025-12-04T09:27:22.6409809Z + source .ci/pytorch/common.sh
2025-12-04T09:27:22.6416014Z +++ dirname .ci/pytorch/common.sh
2025-12-04T09:27:22.6431299Z ++ source .ci/pytorch/common_utils.sh
2025-12-04T09:27:22.6432633Z +++ declare -f -t trap_add
2025-12-04T09:27:22.6438297Z ++ set -ex -o pipefail
2025-12-04T09:27:22.6438726Z ++ [[ linux-jammy-rocm-py3.10 == *rocm* ]]
2025-12-04T09:27:22.6439222Z ++ unset HIP_PLATFORM
2025-12-04T09:27:22.6439622Z ++ export PYTORCH_TEST_WITH_ROCM=1
2025-12-04T09:27:22.6440057Z ++ PYTORCH_TEST_WITH_ROCM=1
2025-12-04T09:27:22.6440453Z ++ BUILD_TEST_LIBTORCH=0
2025-12-04T09:27:22.6444460Z ++ dirname .ci/pytorch/test.sh
2025-12-04T09:27:22.6458176Z + source .ci/pytorch/common-build.sh
2025-12-04T09:27:22.6460816Z ++ [[ linux-jammy-rocm-py3.10 != *win-* ]]
2025-12-04T09:27:22.6470753Z ++++ dirname .ci/pytorch/common-build.sh
2025-12-04T09:27:22.6486233Z +++ cd .ci/pytorch
2025-12-04T09:27:22.6486591Z +++ pwd -P
2025-12-04T09:27:22.6490949Z ++ script_dir=/var/lib/jenkins/pytorch/.ci/pytorch
2025-12-04T09:27:22.6491548Z ++ [[ linux-jammy-rocm-py3.10 == *-pch* ]]
2025-12-04T09:27:22.6492011Z ++ which sccache
2025-12-04T09:27:22.6503552Z ++ [[ -z '' ]]
2025-12-04T09:27:22.6503876Z ++ unset SCCACHE_BUCKET
2025-12-04T09:27:22.6504260Z ++ unset SCCACHE_REGION
2025-12-04T09:27:22.6504645Z ++ sccache --stop-server
2025-12-04T09:27:22.6537695Z ++ true
2025-12-04T09:27:22.6538047Z ++ rm -f /var/lib/jenkins/sccache_error.log
2025-12-04T09:27:22.6551836Z ++ trap_add sccache_epilogue EXIT
2025-12-04T09:27:22.6552316Z ++ trap_add_cmd=sccache_epilogue
2025-12-04T09:27:22.6552726Z ++ shift
2025-12-04T09:27:22.6553049Z ++ for trap_add_name in "$@"
2025-12-04T09:27:22.6558723Z ++++ trap -p EXIT
2025-12-04T09:27:22.6560692Z +++ eval 'extract_trap_cmd '
2025-12-04T09:27:22.6561074Z ++++ extract_trap_cmd
2025-12-04T09:27:22.6561418Z ++++ printf '%s\n' ''
2025-12-04T09:27:22.6561794Z +++ printf '%s\n' sccache_epilogue
2025-12-04T09:27:22.6564447Z ++ trap -- '
2025-12-04T09:27:22.6564769Z sccache_epilogue' EXIT
2025-12-04T09:27:22.6565128Z ++ [[ -n '' ]]
2025-12-04T09:27:22.6565472Z ++ [[ linux-jammy-rocm-py3.10 == *rocm* ]]
2025-12-04T09:27:22.6566015Z ++ SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log
2025-12-04T09:27:22.6566545Z ++ SCCACHE_IDLE_TIMEOUT=0
2025-12-04T09:27:22.6566930Z ++ sccache --start-server
2025-12-04T09:27:22.6592233Z sccache: Starting the server...
2025-12-04T09:27:22.6817307Z sccache: Listening on address 127.0.0.1:4226
2025-12-04T09:27:22.6827587Z ++ sccache --zero-stats
2025-12-04T09:27:22.6840653Z Statistics zeroed.
2025-12-04T09:27:22.6843980Z ++ which ccache
2025-12-04T09:27:22.6851833Z + [[ linux-jammy-rocm-py3.10 != *rocm* ]]
2025-12-04T09:27:22.6852000Z + [[ linux-jammy-rocm-py3.10 == *cuda* ]]
2025-12-04T09:27:22.6852301Z + echo 'Environment variables:'
2025-12-04T09:27:22.6852436Z Environment variables:
2025-12-04T09:27:22.6852550Z + env
2025-12-04T09:27:22.6861081Z GITHUB_WORKSPACE=/home/runner/_work/pytorch/pytorch
2025-12-04T09:27:22.6861269Z CONTINUE_THROUGH_ERROR=True
2025-12-04T09:27:22.6861413Z BUILD_ENVIRONMENT=linux-jammy-rocm-py3.10
2025-12-04T09:27:22.6861602Z HOSTNAME=linux.rocm.gpu.gfx942.1.b-gwk9b-runner-qzcsp
2025-12-04T09:27:22.6861913Z GITHUB_PATH=/home/runner/_work/_temp/_runner_file_commands/add_path_7c2c2b24-92d7-435e-b4a1-2aa49b63f004
2025-12-04T09:27:22.6862180Z GITHUB_ACTION=__run_2
2025-12-04T09:27:22.6862308Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0
2025-12-04T09:27:22.6862456Z GITHUB_RUN_NUMBER=689
2025-12-04T09:27:22.6862568Z TEST_CONFIG=default
2025-12-04T09:27:22.6862722Z RUNNER_NAME=linux.rocm.gpu.gfx942.1.b-gwk9b-runner-qzcsp
2025-12-04T09:27:22.6862909Z GITHUB_REPOSITORY_OWNER_ID=21003710
2025-12-04T09:27:22.6863055Z AWS_DEFAULT_REGION=us-east-1
2025-12-04T09:27:22.6863263Z RUNNER_ARTIFACT_DIR=/home/runner/_work/_temp/artifacts
2025-12-04T09:27:22.6863440Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot
2025-12-04T09:27:22.6863587Z GITHUB_REF_TYPE=branch
2025-12-04T09:27:22.6863728Z BASE_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T09:27:22.6864064Z HUGGING_FACE_HUB_TOKEN=***
2025-12-04T09:27:22.6866209Z ***
2025-12-04T09:27:22.6866318Z GITHUB_REPOSITORY_ID=65600975
2025-12-04T09:27:22.6866447Z GITHUB_ACTIONS=true
2025-12-04T09:27:22.6866579Z SHA1=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T09:27:22.6866761Z GITHUB_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T09:27:22.6867031Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/trunk-rocm-mi300.yml@refs/heads/main
2025-12-04T09:27:22.6867275Z UCC_HOME=/usr
2025-12-04T09:27:22.6867389Z RUNNER_ENVIRONMENT=self-hosted
2025-12-04T09:27:22.6867523Z VERBOSE_TEST_LOGS=False
2025-12-04T09:27:22.6867648Z GITHUB_REF=refs/heads/main
2025-12-04T09:27:22.6867768Z RUNNER_OS=Linux
2025-12-04T09:27:22.6867867Z SHARD_NUMBER=2
2025-12-04T09:27:22.6867978Z GITHUB_REF_PROTECTED=true
2025-12-04T09:27:22.6868148Z RUNNER_MANUALLY_TRAP_SIG=1
2025-12-04T09:27:22.6868274Z HOME=/var/lib/jenkins
2025-12-04T09:27:22.6868406Z GITHUB_API_URL=https://api.github.com
2025-12-04T09:27:22.6868631Z PYTORCH_TEST_RERUN_DISABLED_TESTS=1
2025-12-04T09:27:22.6868785Z RUNNER_DOCS_DIR=/home/runner/_work/_temp/docs
2025-12-04T09:27:22.6868934Z LANG=C.UTF-8
2025-12-04T09:27:22.6869061Z UCX_COMMIT=29831d319e6be55cb8c768ca61de335c934ca39e
2025-12-04T09:27:22.6869231Z PYTORCH_TEST_WITH_ROCM=1
2025-12-04T09:27:22.6869402Z RUNNER_TRACKING_ID=github_2b1f34c2-ba79-4dbc-a280-7d1e62db4d01
2025-12-04T09:27:22.6869584Z RUNNER_ARCH=X64
2025-12-04T09:27:22.6869710Z RUNNER_TEMP=/home/runner/_work/_temp
2025-12-04T09:27:22.6869844Z NUM_TEST_SHARDS=6
2025-12-04T09:27:22.6869945Z UCX_HOME=/usr
2025-12-04T09:27:22.6870169Z GITHUB_STATE=/home/runner/_work/_temp/_runner_file_commands/save_state_7c2c2b24-92d7-435e-b4a1-2aa49b63f004
2025-12-04T09:27:22.6870563Z JOB_NAME=linux-jammy-rocm-py3.10 / test (default, 2, 6, linux.rocm.gpu.gfx942.1.b, rerun_disabled_tests, unstable)
2025-12-04T09:27:22.6870831Z MAGMA_HOME=/opt/rocm/magma
2025-12-04T09:27:22.6871065Z GITHUB_ENV=/home/runner/_work/_temp/_runner_file_commands/set_env_7c2c2b24-92d7-435e-b4a1-2aa49b63f004
2025-12-04T09:27:22.6871376Z GITHUB_EVENT_PATH=/home/runner/_work/_temp/_github_workflow/event.json
2025-12-04T09:27:22.6871571Z GITHUB_EVENT_NAME=schedule
2025-12-04T09:27:22.6871753Z GITHUB_ACTIONS_RUNNER_EXTRA_USER_AGENT=actions-runner-controller/0.12.1
2025-12-04T09:27:22.6871953Z DASHBOARD_TAG=
2025-12-04T09:27:22.6872059Z GITHUB_RUN_ID=19922849170
2025-12-04T09:27:22.6872318Z GITHUB_STEP_SUMMARY=/home/runner/_work/_temp/_runner_file_commands/step_summary_7c2c2b24-92d7-435e-b4a1-2aa49b63f004
2025-12-04T09:27:22.6872606Z GITHUB_ACTOR=pytorchmergebot
2025-12-04T09:27:22.6872731Z PR_NUMBER=
2025-12-04T09:27:22.6872829Z GITHUB_RUN_ATTEMPT=1
2025-12-04T09:27:22.6872945Z ANACONDA_PYTHON_VERSION=3.10
2025-12-04T09:27:22.6873134Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql
2025-12-04T09:27:22.6873288Z TERM=vt100
2025-12-04T09:27:22.6873386Z INSTALLED_VISION=yes
2025-12-04T09:27:22.6873496Z BRANCH=main
2025-12-04T09:27:22.6873597Z OPENSSL_ROOT_DIR=/opt/openssl
2025-12-04T09:27:22.6873725Z TESTS_TO_INCLUDE=
2025-12-04T09:27:22.6873915Z GITHUB_ACTION_PATH=/home/runner/_work/pytorch/pytorch/./.github/actions/setup-rocm
2025-12-04T09:27:22.6874147Z GITHUB_SERVER_URL=https://github.com
2025-12-04T09:27:22.6874304Z PYTORCH_ROCM_ARCH=gfx90a;gfx942;gfx950;gfx1100
2025-12-04T09:27:22.6874480Z UCC_COMMIT=9f4b242cbbd8b1462cbc732eb29316cdfa124b77
2025-12-04T09:27:22.6874637Z REENABLED_ISSUES=
2025-12-04T09:27:22.6874738Z SHLVL=1
2025-12-04T09:27:22.6874832Z MAX_JOBS=126
2025-12-04T09:27:22.6874975Z RUNNER_TEST_RESULTS_DIR=/home/runner/_work/_temp/test-results
2025-12-04T09:27:22.6875154Z GITHUB_ACTOR_ID=97764156
2025-12-04T09:27:22.6875282Z RUNNER_TOOL_CACHE=/home/runner/_work/_tool
2025-12-04T09:27:22.6875471Z GITHUB_WORKFLOW_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T09:27:22.6875655Z GITHUB_REF_NAME=main
2025-12-04T09:27:22.6875766Z ROCM_PATH=/opt/rocm
2025-12-04T09:27:22.6875872Z GITHUB_JOB=test
2025-12-04T09:27:22.6875974Z NO_TEST_TIMEOUT=False
2025-12-04T09:27:22.6876092Z GITHUB_REPOSITORY=pytorch/pytorch
2025-12-04T09:27:22.6876240Z LC_ALL=C.UTF-8
2025-12-04T09:27:22.6876344Z GITHUB_RETENTION_DAYS=90
2025-12-04T09:27:22.6876473Z RUNNER_WORKSPACE=/home/runner/_work/pytorch
2025-12-04T09:27:22.6876623Z OPENSSL_DIR=/opt/openssl
2025-12-04T09:27:22.6876744Z GITHUB_ACTION_REPOSITORY=
2025-12-04T09:27:22.6877208Z PATH=/opt/cache/bin:/opt/rocm/llvm/bin:/opt/rocm/opencl/bin:/opt/rocm/hip/bin:/opt/rocm/hcc/bin:/opt/rocm/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
2025-12-04T09:27:22.6877686Z GITHUB_BASE_REF=
2025-12-04T09:27:22.6877788Z CI=true
2025-12-04T09:27:22.6877890Z GITHUB_REPOSITORY_OWNER=pytorch
2025-12-04T09:27:22.6878016Z JOB_ID=57116213160
2025-12-04T09:27:22.6878164Z GITHUB_HEAD_REF=
2025-12-04T09:27:22.6878268Z GITHUB_ACTION_REF=
2025-12-04T09:27:22.6878376Z TEST_SHOWLOCALS=False
2025-12-04T09:27:22.6878496Z GITHUB_WORKFLOW=trunk-rocm-mi300
2025-12-04T09:27:22.6878635Z DEBIAN_FRONTEND=noninteractive
2025-12-04T09:27:22.6878934Z GITHUB_OUTPUT=/home/runner/_work/_temp/_runner_file_commands/set_output_7c2c2b24-92d7-435e-b4a1-2aa49b63f004
2025-12-04T09:27:22.6879197Z NO_TD=False
2025-12-04T09:27:22.6879295Z OLDPWD=/var/lib/jenkins
2025-12-04T09:27:22.6879403Z _=/usr/bin/env
2025-12-04T09:27:22.6879545Z ++ python -c 'import site; print(site.getsitepackages()[0])'
2025-12-04T09:27:22.6926054Z + TORCH_INSTALL_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch
2025-12-04T09:27:22.6926344Z + TORCH_BIN_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin
2025-12-04T09:27:22.6926637Z + TORCH_LIB_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib
2025-12-04T09:27:22.6926903Z + TORCH_TEST_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/test
2025-12-04T09:27:22.6927106Z + BUILD_DIR=build
2025-12-04T09:27:22.6927219Z + BUILD_RENAMED_DIR=build_renamed
2025-12-04T09:27:22.6927355Z + BUILD_BIN_DIR=build/bin
2025-12-04T09:27:22.6927470Z + SHARD_NUMBER=2
2025-12-04T09:27:22.6927572Z + NUM_TEST_SHARDS=6
2025-12-04T09:27:22.6927686Z + export TORCH_SERIALIZATION_DEBUG=1
2025-12-04T09:27:22.6927826Z + TORCH_SERIALIZATION_DEBUG=1
2025-12-04T09:27:22.6927949Z + export VALGRIND=ON
2025-12-04T09:27:22.6928055Z + VALGRIND=ON
2025-12-04T09:27:22.6928200Z + [[ linux-jammy-rocm-py3.10 == *clang9* ]]
2025-12-04T09:27:22.6928376Z + [[ linux-jammy-rocm-py3.10 == *xpu* ]]
2025-12-04T09:27:22.6928522Z + detect_cuda_arch
2025-12-04T09:27:22.6928643Z + [[ linux-jammy-rocm-py3.10 == *cuda* ]]
2025-12-04T09:27:22.6928804Z + [[ linux-jammy-rocm-py3.10 == *s390x* ]]
2025-12-04T09:27:22.6928949Z + [[ 1 == \1 ]]
2025-12-04T09:27:22.6929050Z + ulimit -c 0
2025-12-04T09:27:22.6929162Z + [[ linux-jammy-rocm-py3.10 != *bazel* ]]
2025-12-04T09:27:22.6931648Z ++ realpath build/custom_test_artifacts
2025-12-04T09:27:22.6946188Z + CUSTOM_TEST_ARTIFACT_BUILD_DIR=/var/lib/jenkins/pytorch/build/custom_test_artifacts
2025-12-04T09:27:22.6947081Z + [[ -n '' ]]
2025-12-04T09:27:22.6947452Z + echo 'Environment variables'
2025-12-04T09:27:22.6947941Z Environment variables
2025-12-04T09:27:22.6948374Z + env
2025-12-04T09:27:22.6951375Z GITHUB_WORKSPACE=/home/runner/_work/pytorch/pytorch
2025-12-04T09:27:22.6951902Z CONTINUE_THROUGH_ERROR=True
2025-12-04T09:27:22.6952339Z BUILD_ENVIRONMENT=linux-jammy-rocm-py3.10
2025-12-04T09:27:22.6952926Z HOSTNAME=linux.rocm.gpu.gfx942.1.b-gwk9b-runner-qzcsp
2025-12-04T09:27:22.6953924Z GITHUB_PATH=/home/runner/_work/_temp/_runner_file_commands/add_path_7c2c2b24-92d7-435e-b4a1-2aa49b63f004
2025-12-04T09:27:22.6954750Z GITHUB_ACTION=__run_2
2025-12-04T09:27:22.6955127Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0
2025-12-04T09:27:22.6955553Z GITHUB_RUN_NUMBER=689
2025-12-04T09:27:22.6955884Z TEST_CONFIG=default
2025-12-04T09:27:22.6956341Z RUNNER_NAME=linux.rocm.gpu.gfx942.1.b-gwk9b-runner-qzcsp
2025-12-04T09:27:22.6956945Z GITHUB_REPOSITORY_OWNER_ID=21003710
2025-12-04T09:27:22.6957399Z AWS_DEFAULT_REGION=us-east-1
2025-12-04T09:27:22.6957886Z RUNNER_ARTIFACT_DIR=/home/runner/_work/_temp/artifacts
2025-12-04T09:27:22.6958580Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot
2025-12-04T09:27:22.6959028Z GITHUB_REF_TYPE=branch
2025-12-04T09:27:22.6959447Z BASE_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T09:27:22.6960256Z HUGGING_FACE_HUB_TOKEN=***
2025-12-04T09:27:22.6960746Z ***
2025-12-04T09:27:22.6961052Z GITHUB_REPOSITORY_ID=65600975
2025-12-04T09:27:22.6961437Z GITHUB_ACTIONS=true
2025-12-04T09:27:22.6961828Z SHA1=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T09:27:22.6962380Z GITHUB_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T09:27:22.6963234Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/trunk-rocm-mi300.yml@refs/heads/main
2025-12-04T09:27:22.6964000Z UCC_HOME=/usr
2025-12-04T09:27:22.6964327Z TORCH_SERIALIZATION_DEBUG=1
2025-12-04T09:27:22.6964739Z RUNNER_ENVIRONMENT=self-hosted
2025-12-04T09:27:22.6965139Z VERBOSE_TEST_LOGS=False
2025-12-04T09:27:22.6965506Z GITHUB_REF=refs/heads/main
2025-12-04T09:27:22.6965867Z RUNNER_OS=Linux
2025-12-04T09:27:22.6966176Z SHARD_NUMBER=2
2025-12-04T09:27:22.6967066Z GITHUB_REF_PROTECTED=true
2025-12-04T09:27:22.6967452Z RUNNER_MANUALLY_TRAP_SIG=1
2025-12-04T09:27:22.6967821Z HOME=/var/lib/jenkins
2025-12-04T09:27:22.6968290Z GITHUB_API_URL=https://api.github.com
2025-12-04T09:27:22.6968768Z PYTORCH_TEST_RERUN_DISABLED_TESTS=1
2025-12-04T09:27:22.6969241Z RUNNER_DOCS_DIR=/home/runner/_work/_temp/docs
2025-12-04T09:27:22.6969701Z LANG=C.UTF-8
2025-12-04T09:27:22.6970083Z UCX_COMMIT=29831d319e6be55cb8c768ca61de335c934ca39e
2025-12-04T09:27:22.6970593Z PYTORCH_TEST_WITH_ROCM=1
2025-12-04T09:27:22.6971121Z RUNNER_TRACKING_ID=github_2b1f34c2-ba79-4dbc-a280-7d1e62db4d01
2025-12-04T09:27:22.6971689Z RUNNER_ARCH=X64
2025-12-04T09:27:22.6972033Z RUNNER_TEMP=/home/runner/_work/_temp
2025-12-04T09:27:22.6972469Z NUM_TEST_SHARDS=6
2025-12-04T09:27:22.6972785Z UCX_HOME=/usr
2025-12-04T09:27:22.6973511Z GITHUB_STATE=/home/runner/_work/_temp/_runner_file_commands/save_state_7c2c2b24-92d7-435e-b4a1-2aa49b63f004
2025-12-04T09:27:22.6974821Z JOB_NAME=linux-jammy-rocm-py3.10 / test (default, 2, 6, linux.rocm.gpu.gfx942.1.b, rerun_disabled_tests, unstable)
2025-12-04T09:27:22.6975692Z MAGMA_HOME=/opt/rocm/magma
2025-12-04T09:27:22.6976441Z GITHUB_ENV=/home/runner/_work/_temp/_runner_file_commands/set_env_7c2c2b24-92d7-435e-b4a1-2aa49b63f004
2025-12-04T09:27:22.6977435Z GITHUB_EVENT_PATH=/home/runner/_work/_temp/_github_workflow/event.json
2025-12-04T09:27:22.6978063Z GITHUB_EVENT_NAME=schedule
2025-12-04T09:27:22.6978697Z GITHUB_ACTIONS_RUNNER_EXTRA_USER_AGENT=actions-runner-controller/0.12.1
2025-12-04T09:27:22.6979332Z DASHBOARD_TAG=
2025-12-04T09:27:22.6979650Z GITHUB_RUN_ID=19922849170
2025-12-04T09:27:22.6980491Z GITHUB_STEP_SUMMARY=/home/runner/_work/_temp/_runner_file_commands/step_summary_7c2c2b24-92d7-435e-b4a1-2aa49b63f004
2025-12-04T09:27:22.6981632Z GITHUB_ACTOR=pytorchmergebot
2025-12-04T09:27:22.6982023Z PR_NUMBER=
2025-12-04T09:27:22.6982325Z GITHUB_RUN_ATTEMPT=1
2025-12-04T09:27:22.6982666Z VALGRIND=ON
2025-12-04T09:27:22.6982987Z ANACONDA_PYTHON_VERSION=3.10
2025-12-04T09:27:22.6983463Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql
2025-12-04T09:27:22.6983954Z TERM=vt100
2025-12-04T09:27:22.6984248Z INSTALLED_VISION=yes
2025-12-04T09:27:22.6984581Z BRANCH=main
2025-12-04T09:27:22.6984899Z OPENSSL_ROOT_DIR=/opt/openssl
2025-12-04T09:27:22.6985281Z TESTS_TO_INCLUDE=
2025-12-04T09:27:22.6985882Z GITHUB_ACTION_PATH=/home/runner/_work/pytorch/pytorch/./.github/actions/setup-rocm
2025-12-04T09:27:22.6986622Z GITHUB_SERVER_URL=https://github.com
2025-12-04T09:27:22.6987118Z PYTORCH_ROCM_ARCH=gfx90a;gfx942;gfx950;gfx1100
2025-12-04T09:27:22.6987678Z UCC_COMMIT=9f4b242cbbd8b1462cbc732eb29316cdfa124b77
2025-12-04T09:27:22.6988228Z REENABLED_ISSUES=
2025-12-04T09:27:22.6988546Z SHLVL=1
2025-12-04T09:27:22.6988836Z MAX_JOBS=126
2025-12-04T09:27:22.6989288Z RUNNER_TEST_RESULTS_DIR=/home/runner/_work/_temp/test-results
2025-12-04T09:27:22.6989869Z GITHUB_ACTOR_ID=97764156
2025-12-04T09:27:22.6990265Z RUNNER_TOOL_CACHE=/home/runner/_work/_tool
2025-12-04T09:27:22.6990869Z GITHUB_WORKFLOW_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T09:27:22.6991430Z GITHUB_REF_NAME=main
2025-12-04T09:27:22.6991773Z ROCM_PATH=/opt/rocm
2025-12-04T09:27:22.6992094Z GITHUB_JOB=test
2025-12-04T09:27:22.6992410Z NO_TEST_TIMEOUT=False
2025-12-04T09:27:22.6992788Z GITHUB_REPOSITORY=pytorch/pytorch
2025-12-04T09:27:22.6993197Z LC_ALL=C.UTF-8
2025-12-04T09:27:22.6993516Z GITHUB_RETENTION_DAYS=90
2025-12-04T09:27:22.6993921Z RUNNER_WORKSPACE=/home/runner/_work/pytorch
2025-12-04T09:27:22.6994385Z OPENSSL_DIR=/opt/openssl
2025-12-04T09:27:22.6994757Z GITHUB_ACTION_REPOSITORY=
2025-12-04T09:27:22.6996282Z PATH=/opt/cache/bin:/opt/rocm/llvm/bin:/opt/rocm/opencl/bin:/opt/rocm/hip/bin:/opt/rocm/hcc/bin:/opt/rocm/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
2025-12-04T09:27:22.6997850Z GITHUB_BASE_REF=
2025-12-04T09:27:22.6998245Z CI=true
2025-12-04T09:27:22.6998555Z GITHUB_REPOSITORY_OWNER=pytorch
2025-12-04T09:27:22.6999060Z JOB_ID=57116213160
2025-12-04T09:27:22.6999377Z GITHUB_HEAD_REF=
2025-12-04T09:27:22.6999690Z GITHUB_ACTION_REF=
2025-12-04T09:27:22.7000017Z TEST_SHOWLOCALS=False
2025-12-04T09:27:22.7000392Z GITHUB_WORKFLOW=trunk-rocm-mi300
2025-12-04T09:27:22.7000823Z DEBIAN_FRONTEND=noninteractive
2025-12-04T09:27:22.7001647Z GITHUB_OUTPUT=/home/runner/_work/_temp/_runner_file_commands/set_output_7c2c2b24-92d7-435e-b4a1-2aa49b63f004
2025-12-04T09:27:22.7002496Z NO_TD=False
2025-12-04T09:27:22.7002800Z OLDPWD=/var/lib/jenkins
2025-12-04T09:27:22.7003152Z _=/usr/bin/env
2025-12-04T09:27:22.7003469Z + echo 'Testing pytorch'
2025-12-04T09:27:22.7003826Z Testing pytorch
2025-12-04T09:27:22.7004152Z + export LANG=C.UTF-8
2025-12-04T09:27:22.7004488Z + LANG=C.UTF-8
2025-12-04T09:27:22.7004792Z + PR_NUMBER=
2025-12-04T09:27:22.7005117Z + [[ default == \d\e\f\a\u\l\t ]]
2025-12-04T09:27:22.7005541Z + export CUDA_VISIBLE_DEVICES=0
2025-12-04T09:27:22.7005965Z + CUDA_VISIBLE_DEVICES=0
2025-12-04T09:27:22.7006344Z + export HIP_VISIBLE_DEVICES=0
2025-12-04T09:27:22.7006747Z + HIP_VISIBLE_DEVICES=0
2025-12-04T09:27:22.7007130Z + [[ default == \d\i\s\t\r\i\b\u\t\e\d ]]
2025-12-04T09:27:22.7007582Z + [[ default == \s\l\o\w ]]
2025-12-04T09:27:22.7008036Z + [[ linux-jammy-rocm-py3.10 == *slow-gradcheck* ]]
2025-12-04T09:27:22.7008797Z + [[ linux-jammy-rocm-py3.10 == *cuda* ]]
2025-12-04T09:27:22.7009278Z + [[ linux-jammy-rocm-py3.10 == *rocm* ]]
2025-12-04T09:27:22.7009769Z + export PYTORCH_TESTING_DEVICE_ONLY_FOR=cuda
2025-12-04T09:27:22.7010267Z + PYTORCH_TESTING_DEVICE_ONLY_FOR=cuda
2025-12-04T09:27:22.7010721Z + [[ default == *crossref* ]]
2025-12-04T09:27:22.7011137Z + [[ linux-jammy-rocm-py3.10 == *rocm* ]]
2025-12-04T09:27:22.7011578Z + export VALGRIND=OFF
2025-12-04T09:27:22.7012123Z + VALGRIND=OFF
2025-12-04T09:27:22.7012421Z + rocminfo
2025-12-04T09:27:22.7074532Z ROCk module version 6.12.12 is loaded
2025-12-04T09:27:22.7403515Z =====================    
2025-12-04T09:27:22.7404063Z HSA System Attributes    
2025-12-04T09:27:22.7404447Z =====================    
2025-12-04T09:27:22.7404817Z Runtime Version:         1.18
2025-12-04T09:27:22.7405216Z Runtime Ext Version:     1.14
2025-12-04T09:27:22.7405637Z System Timestamp Freq.:  1000.000000MHz
2025-12-04T09:27:22.7406365Z Sig. Max Wait Duration:  18446744073709551615 (0xFFFFFFFFFFFFFFFF) (timestamp count)
2025-12-04T09:27:22.7407175Z Machine Model:           LARGE                              
2025-12-04T09:27:22.7407823Z System Endianness:       LITTLE                             
2025-12-04T09:27:22.7408456Z Mwaitx:                  DISABLED
2025-12-04T09:27:22.7408869Z XNACK enabled:           NO
2025-12-04T09:27:22.7409263Z DMAbuf Support:          YES
2025-12-04T09:27:22.7409650Z VMM Support:             YES
2025-12-04T09:27:22.7409922Z 
2025-12-04T09:27:22.7410053Z ==========               
2025-12-04T09:27:22.7410416Z HSA Agents               
2025-12-04T09:27:22.7410768Z ==========               
2025-12-04T09:27:22.7411113Z *******                  
2025-12-04T09:27:22.7411464Z Agent 1                  
2025-12-04T09:27:22.7411803Z *******                  
2025-12-04T09:27:22.7412239Z   Name:                    AMD EPYC 9575F 64-Core Processor   
2025-12-04T09:27:22.7412810Z   Uuid:                    CPU-XX                             
2025-12-04T09:27:22.7413409Z   Marketing Name:          AMD EPYC 9575F 64-Core Processor   
2025-12-04T09:27:22.7414132Z   Vendor Name:             CPU                                
2025-12-04T09:27:22.7414729Z   Feature:                 None specified                     
2025-12-04T09:27:22.7415316Z   Profile:                 FULL_PROFILE                       
2025-12-04T09:27:22.7415915Z   Float Round Mode:        NEAR                               
2025-12-04T09:27:22.7416533Z   Max Queue Number:        0(0x0)                             
2025-12-04T09:27:22.7417128Z   Queue Min Size:          0(0x0)                             
2025-12-04T09:27:22.7417719Z   Queue Max Size:          0(0x0)                             
2025-12-04T09:27:22.7418550Z   Queue Type:              MULTI                              
2025-12-04T09:27:22.7419109Z   Node:                    0                                  
2025-12-04T09:27:22.7419695Z   Device Type:             CPU                                
2025-12-04T09:27:22.7420210Z   Cache Info:              
2025-12-04T09:27:22.7420651Z     L1:                      49152(0xc000) KB                   
2025-12-04T09:27:22.7421199Z   Chip ID:                 0(0x0)                             
2025-12-04T09:27:22.7421762Z   ASIC Revision:           0(0x0)                             
2025-12-04T09:27:22.7422370Z   Cacheline Size:          64(0x40)                           
2025-12-04T09:27:22.7423000Z   Max Clock Freq. (MHz):   3300                               
2025-12-04T09:27:22.7423565Z   BDFID:                   0                                  
2025-12-04T09:27:22.7424134Z   Internal Node ID:        0                                  
2025-12-04T09:27:22.7424744Z   Compute Unit:            64                                 
2025-12-04T09:27:22.7425329Z   SIMDs per CU:            0                                  
2025-12-04T09:27:22.7425915Z   Shader Engines:          0                                  
2025-12-04T09:27:22.7426523Z   Shader Arrs. per Eng.:   0                                  
2025-12-04T09:27:22.7427158Z   WatchPts on Addr. Ranges:1                                  
2025-12-04T09:27:22.7427698Z   Memory Properties:       
2025-12-04T09:27:22.7428204Z   Features:                None
2025-12-04T09:27:22.7428612Z   Pool Info:               
2025-12-04T09:27:22.7429005Z     Pool 1                   
2025-12-04T09:27:22.7429515Z       Segment:                 GLOBAL; FLAGS: FINE GRAINED        
2025-12-04T09:27:22.7430229Z       Size:                    1584733356(0x5e751cac) KB          
2025-12-04T09:27:22.7430820Z       Allocatable:             TRUE                               
2025-12-04T09:27:22.7431445Z       Alloc Granule:           4KB                                
2025-12-04T09:27:22.7432137Z       Alloc Recommended Granule:4KB                                
2025-12-04T09:27:22.7432797Z       Alloc Alignment:         4KB                                
2025-12-04T09:27:22.7433435Z       Accessible by all:       TRUE                               
2025-12-04T09:27:22.7433971Z     Pool 2                   
2025-12-04T09:27:22.7434477Z       Segment:                 GLOBAL; FLAGS: EXTENDED FINE GRAINED
2025-12-04T09:27:22.7435091Z       Size:                    1584733356(0x5e751cac) KB          
2025-12-04T09:27:22.7435703Z       Allocatable:             TRUE                               
2025-12-04T09:27:22.7436327Z       Alloc Granule:           4KB                                
2025-12-04T09:27:22.7436958Z       Alloc Recommended Granule:4KB                                
2025-12-04T09:27:22.7437596Z       Alloc Alignment:         4KB                                
2025-12-04T09:27:22.7438412Z       Accessible by all:       TRUE                               
2025-12-04T09:27:22.7438950Z     Pool 3                   
2025-12-04T09:27:22.7439455Z       Segment:                 GLOBAL; FLAGS: KERNARG, FINE GRAINED
2025-12-04T09:27:22.7440033Z       Size:                    1584733356(0x5e751cac) KB          
2025-12-04T09:27:22.7440612Z       Allocatable:             TRUE                               
2025-12-04T09:27:22.7441238Z       Alloc Granule:           4KB                                
2025-12-04T09:27:22.7441917Z       Alloc Recommended Granule:4KB                                
2025-12-04T09:27:22.7442559Z       Alloc Alignment:         4KB                                
2025-12-04T09:27:22.7443186Z       Accessible by all:       TRUE                               
2025-12-04T09:27:22.7443729Z     Pool 4                   
2025-12-04T09:27:22.7444228Z       Segment:                 GLOBAL; FLAGS: COARSE GRAINED      
2025-12-04T09:27:22.7444801Z       Size:                    1584733356(0x5e751cac) KB          
2025-12-04T09:27:22.7445542Z       Allocatable:             TRUE                               
2025-12-04T09:27:22.7446166Z       Alloc Granule:           4KB                                
2025-12-04T09:27:22.7446818Z       Alloc Recommended Granule:4KB                                
2025-12-04T09:27:22.7447469Z       Alloc Alignment:         4KB                                
2025-12-04T09:27:22.7448188Z       Accessible by all:       TRUE                               
2025-12-04T09:27:22.7448726Z   ISA Info:                
2025-12-04T09:27:22.7449111Z *******                  
2025-12-04T09:27:22.7449464Z Agent 2                  
2025-12-04T09:27:22.7449826Z *******                  
2025-12-04T09:27:22.7450275Z   Name:                    AMD EPYC 9575F 64-Core Processor   
2025-12-04T09:27:22.7450841Z   Uuid:                    CPU-XX                             
2025-12-04T09:27:22.7451436Z   Marketing Name:          AMD EPYC 9575F 64-Core Processor   
2025-12-04T09:27:22.7452064Z   Vendor Name:             CPU                                
2025-12-04T09:27:22.7452666Z   Feature:                 None specified                     
2025-12-04T09:27:22.7453259Z   Profile:                 FULL_PROFILE                       
2025-12-04T09:27:22.7453868Z   Float Round Mode:        NEAR                               
2025-12-04T09:27:22.7454484Z   Max Queue Number:        0(0x0)                             
2025-12-04T09:27:22.7455085Z   Queue Min Size:          0(0x0)                             
2025-12-04T09:27:22.7455674Z   Queue Max Size:          0(0x0)                             
2025-12-04T09:27:22.7456260Z   Queue Type:              MULTI                              
2025-12-04T09:27:22.7456808Z   Node:                    1                                  
2025-12-04T09:27:22.7457458Z   Device Type:             CPU                                
2025-12-04T09:27:22.7457968Z   Cache Info:              
2025-12-04T09:27:22.7458460Z     L1:                      49152(0xc000) KB                   
2025-12-04T09:27:22.7458996Z   Chip ID:                 0(0x0)                             
2025-12-04T09:27:22.7459565Z   ASIC Revision:           0(0x0)                             
2025-12-04T09:27:22.7460180Z   Cacheline Size:          64(0x40)                           
2025-12-04T09:27:22.7460783Z   Max Clock Freq. (MHz):   3300                               
2025-12-04T09:27:22.7461346Z   BDFID:                   0                                  
2025-12-04T09:27:22.7461952Z   Internal Node ID:        1                                  
2025-12-04T09:27:22.7462557Z   Compute Unit:            64                                 
2025-12-04T09:27:22.7463141Z   SIMDs per CU:            0                                  
2025-12-04T09:27:22.7463732Z   Shader Engines:          0                                  
2025-12-04T09:27:22.7464344Z   Shader Arrs. per Eng.:   0                                  
2025-12-04T09:27:22.7464977Z   WatchPts on Addr. Ranges:1                                  
2025-12-04T09:27:22.7465550Z   Memory Properties:       
2025-12-04T09:27:22.7465969Z   Features:                None
2025-12-04T09:27:22.7466378Z   Pool Info:               
2025-12-04T09:27:22.7466769Z     Pool 1                   
2025-12-04T09:27:22.7467273Z       Segment:                 GLOBAL; FLAGS: FINE GRAINED        
2025-12-04T09:27:22.7467887Z       Size:                    1585355616(0x5e7e9b60) KB          
2025-12-04T09:27:22.7468559Z       Allocatable:             TRUE                               
2025-12-04T09:27:22.7469175Z       Alloc Granule:           4KB                                
2025-12-04T09:27:22.7469815Z       Alloc Recommended Granule:4KB                                
2025-12-04T09:27:22.7470452Z       Alloc Alignment:         4KB                                
2025-12-04T09:27:22.7471084Z       Accessible by all:       TRUE                               
2025-12-04T09:27:22.7471616Z     Pool 2                   
2025-12-04T09:27:22.7472118Z       Segment:                 GLOBAL; FLAGS: EXTENDED FINE GRAINED
2025-12-04T09:27:22.7472836Z       Size:                    1585355616(0x5e7e9b60) KB          
2025-12-04T09:27:22.7473419Z       Allocatable:             TRUE                               
2025-12-04T09:27:22.7474057Z       Alloc Granule:           4KB                                
2025-12-04T09:27:22.7474684Z       Alloc Recommended Granule:4KB                                
2025-12-04T09:27:22.7475323Z       Alloc Alignment:         4KB                                
2025-12-04T09:27:22.7475945Z       Accessible by all:       TRUE                               
2025-12-04T09:27:22.7476470Z     Pool 3                   
2025-12-04T09:27:22.7476963Z       Segment:                 GLOBAL; FLAGS: KERNARG, FINE GRAINED
2025-12-04T09:27:22.7477533Z       Size:                    1585355616(0x5e7e9b60) KB          
2025-12-04T09:27:22.7478180Z       Allocatable:             TRUE                               
2025-12-04T09:27:22.7478797Z       Alloc Granule:           4KB                                
2025-12-04T09:27:22.7479450Z       Alloc Recommended Granule:4KB                                
2025-12-04T09:27:22.7480089Z       Alloc Alignment:         4KB                                
2025-12-04T09:27:22.7480716Z       Accessible by all:       TRUE                               
2025-12-04T09:27:22.7481252Z     Pool 4                   
2025-12-04T09:27:22.7481744Z       Segment:                 GLOBAL; FLAGS: COARSE GRAINED      
2025-12-04T09:27:22.7482340Z       Size:                    1585355616(0x5e7e9b60) KB          
2025-12-04T09:27:22.7482915Z       Allocatable:             TRUE                               
2025-12-04T09:27:22.7483529Z       Alloc Granule:           4KB                                
2025-12-04T09:27:22.7484152Z       Alloc Recommended Granule:4KB                                
2025-12-04T09:27:22.7484892Z       Alloc Alignment:         4KB                                
2025-12-04T09:27:22.7485525Z       Accessible by all:       TRUE                               
2025-12-04T09:27:22.7486066Z   ISA Info:                
2025-12-04T09:27:22.7486448Z *******                  
2025-12-04T09:27:22.7486814Z Agent 3                  
2025-12-04T09:27:22.7487171Z *******                  
2025-12-04T09:27:22.7487591Z   Name:                    gfx942                             
2025-12-04T09:27:22.7488201Z   Uuid:                    GPU-135ea223c25f66c8               
2025-12-04T09:27:22.7488794Z   Marketing Name:                                             
2025-12-04T09:27:22.7489398Z   Vendor Name:             AMD                                
2025-12-04T09:27:22.7489989Z   Feature:                 KERNEL_DISPATCH                    
2025-12-04T09:27:22.7490578Z   Profile:                 BASE_PROFILE                       
2025-12-04T09:27:22.7491182Z   Float Round Mode:        NEAR                               
2025-12-04T09:27:22.7491788Z   Max Queue Number:        128(0x80)                          
2025-12-04T09:27:22.7492384Z   Queue Min Size:          64(0x40)                           
2025-12-04T09:27:22.7492968Z   Queue Max Size:          131072(0x20000)                    
2025-12-04T09:27:22.7493549Z   Queue Type:              MULTI                              
2025-12-04T09:27:22.7494097Z   Node:                    2                                  
2025-12-04T09:27:22.7494653Z   Device Type:             GPU                                
2025-12-04T09:27:22.7495168Z   Cache Info:              
2025-12-04T09:27:22.7495600Z     L1:                      32(0x20) KB                        
2025-12-04T09:27:22.7496104Z     L2:                      4096(0x1000) KB                    
2025-12-04T09:27:22.7496610Z     L3:                      262144(0x40000) KB                 
2025-12-04T09:27:22.7497131Z   Chip ID:                 29861(0x74a5)                      
2025-12-04T09:27:22.7497710Z   ASIC Revision:           1(0x1)                             
2025-12-04T09:27:22.7498406Z   Cacheline Size:          128(0x80)                          
2025-12-04T09:27:22.7499132Z   Max Clock Freq. (MHz):   2100                               
2025-12-04T09:27:22.7499708Z   BDFID:                   1280                               
2025-12-04T09:27:22.7500308Z   Internal Node ID:        2                                  
2025-12-04T09:27:22.7500907Z   Compute Unit:            304                                
2025-12-04T09:27:22.7501485Z   SIMDs per CU:            4                                  
2025-12-04T09:27:22.7502079Z   Shader Engines:          32                                 
2025-12-04T09:27:22.7502695Z   Shader Arrs. per Eng.:   1                                  
2025-12-04T09:27:22.7503325Z   WatchPts on Addr. Ranges:4                                  
2025-12-04T09:27:22.7503953Z   Coherent Host Access:    FALSE                              
2025-12-04T09:27:22.7504505Z   Memory Properties:       
2025-12-04T09:27:22.7504946Z   Features:                KERNEL_DISPATCH 
2025-12-04T09:27:22.7505525Z   Fast F16 Operation:      TRUE                               
2025-12-04T09:27:22.7506178Z   Wavefront Size:          64(0x40)                           
2025-12-04T09:27:22.7506808Z   Workgroup Max Size:      1024(0x400)                        
2025-12-04T09:27:22.7507404Z   Workgroup Max Size per Dimension:
2025-12-04T09:27:22.7507890Z     x                        1024(0x400)                        
2025-12-04T09:27:22.7508480Z     y                        1024(0x400)                        
2025-12-04T09:27:22.7508960Z     z                        1024(0x400)                        
2025-12-04T09:27:22.7509501Z   Max Waves Per CU:        32(0x20)                           
2025-12-04T09:27:22.7510105Z   Max Work-item Per CU:    2048(0x800)                        
2025-12-04T09:27:22.7510713Z   Grid Max Size:           4294967295(0xffffffff)             
2025-12-04T09:27:22.7511346Z   Grid Max Size per Dimension:
2025-12-04T09:27:22.7511788Z     x                        2147483647(0x7fffffff)             
2025-12-04T09:27:22.7512281Z     y                        65535(0xffff)                      
2025-12-04T09:27:22.7512766Z     z                        65535(0xffff)                      
2025-12-04T09:27:22.7513350Z   Max fbarriers/Workgrp:   32                                 
2025-12-04T09:27:22.7514087Z   Packet Processor uCode:: 185                                
2025-12-04T09:27:22.7514733Z   SDMA engine uCode::      24                                 
2025-12-04T09:27:22.7515356Z   IOMMU Support::          None                               
2025-12-04T09:27:22.7515883Z   Pool Info:               
2025-12-04T09:27:22.7516281Z     Pool 1                   
2025-12-04T09:27:22.7516796Z       Segment:                 GLOBAL; FLAGS: COARSE GRAINED      
2025-12-04T09:27:22.7517392Z       Size:                    268419072(0xfffc000) KB            
2025-12-04T09:27:22.7518007Z       Allocatable:             TRUE                               
2025-12-04T09:27:22.7518704Z       Alloc Granule:           4KB                                
2025-12-04T09:27:22.7519354Z       Alloc Recommended Granule:2048KB                             
2025-12-04T09:27:22.7519990Z       Alloc Alignment:         4KB                                
2025-12-04T09:27:22.7520625Z       Accessible by all:       FALSE                              
2025-12-04T09:27:22.7521155Z     Pool 2                   
2025-12-04T09:27:22.7521627Z       Segment:                 GLOBAL; FLAGS: EXTENDED FINE GRAINED
2025-12-04T09:27:22.7522199Z       Size:                    268419072(0xfffc000) KB            
2025-12-04T09:27:22.7522774Z       Allocatable:             TRUE                               
2025-12-04T09:27:22.7523375Z       Alloc Granule:           4KB                                
2025-12-04T09:27:22.7524001Z       Alloc Recommended Granule:2048KB                             
2025-12-04T09:27:22.7524658Z       Alloc Alignment:         4KB                                
2025-12-04T09:27:22.7525282Z       Accessible by all:       FALSE                              
2025-12-04T09:27:22.7525920Z     Pool 3                   
2025-12-04T09:27:22.7526418Z       Segment:                 GLOBAL; FLAGS: FINE GRAINED        
2025-12-04T09:27:22.7527019Z       Size:                    268419072(0xfffc000) KB            
2025-12-04T09:27:22.7527593Z       Allocatable:             TRUE                               
2025-12-04T09:27:22.7528274Z       Alloc Granule:           4KB                                
2025-12-04T09:27:22.7528926Z       Alloc Recommended Granule:2048KB                             
2025-12-04T09:27:22.7529563Z       Alloc Alignment:         4KB                                
2025-12-04T09:27:22.7530190Z       Accessible by all:       FALSE                              
2025-12-04T09:27:22.7530723Z     Pool 4                   
2025-12-04T09:27:22.7531202Z       Segment:                 GROUP                              
2025-12-04T09:27:22.7531753Z       Size:                    64(0x40) KB                        
2025-12-04T09:27:22.7532363Z       Allocatable:             FALSE                              
2025-12-04T09:27:22.7533018Z       Alloc Granule:           0KB                                
2025-12-04T09:27:22.7533659Z       Alloc Recommended Granule:0KB                                
2025-12-04T09:27:22.7534310Z       Alloc Alignment:         0KB                                
2025-12-04T09:27:22.7534941Z       Accessible by all:       FALSE                              
2025-12-04T09:27:22.7535477Z   ISA Info:                
2025-12-04T09:27:22.7535847Z     ISA 1                    
2025-12-04T09:27:22.7536335Z       Name:                    amdgcn-amd-amdhsa--gfx942:sramecc+:xnack-
2025-12-04T09:27:22.7536989Z       Machine Models:          HSA_MACHINE_MODEL_LARGE            
2025-12-04T09:27:22.7537619Z       Profiles:                HSA_PROFILE_BASE                   
2025-12-04T09:27:22.7538414Z       Default Rounding Mode:   NEAR                               
2025-12-04T09:27:22.7539362Z       Default Rounding Mode:   NEAR                               
2025-12-04T09:27:22.7539998Z       Fast f16:                TRUE                               
2025-12-04T09:27:22.7540593Z       Workgroup Max Size:      1024(0x400)                        
2025-12-04T09:27:22.7541150Z       Workgroup Max Size per Dimension:
2025-12-04T09:27:22.7541652Z         x                        1024(0x400)                        
2025-12-04T09:27:22.7542166Z         y                        1024(0x400)                        
2025-12-04T09:27:22.7542669Z         z                        1024(0x400)                        
2025-12-04T09:27:22.7543209Z       Grid Max Size:           4294967295(0xffffffff)             
2025-12-04T09:27:22.7543992Z       Grid Max Size per Dimension:
2025-12-04T09:27:22.7544462Z         x                        2147483647(0x7fffffff)             
2025-12-04T09:27:22.7544983Z         y                        65535(0xffff)                      
2025-12-04T09:27:22.7545474Z         z                        65535(0xffff)                      
2025-12-04T09:27:22.7546047Z       FBarrier Max Size:       32                                 
2025-12-04T09:27:22.7546570Z     ISA 2                    
2025-12-04T09:27:22.7547099Z       Name:                    amdgcn-amd-amdhsa--gfx9-4-generic:sramecc+:xnack-
2025-12-04T09:27:22.7547793Z       Machine Models:          HSA_MACHINE_MODEL_LARGE            
2025-12-04T09:27:22.7548536Z       Profiles:                HSA_PROFILE_BASE                   
2025-12-04T09:27:22.7549164Z       Default Rounding Mode:   NEAR                               
2025-12-04T09:27:22.7549812Z       Default Rounding Mode:   NEAR                               
2025-12-04T09:27:22.7550416Z       Fast f16:                TRUE                               
2025-12-04T09:27:22.7551026Z       Workgroup Max Size:      1024(0x400)                        
2025-12-04T09:27:22.7551605Z       Workgroup Max Size per Dimension:
2025-12-04T09:27:22.7552100Z         x                        1024(0x400)                        
2025-12-04T09:27:22.7552694Z         y                        1024(0x400)                        
2025-12-04T09:27:22.7553182Z         z                        1024(0x400)                        
2025-12-04T09:27:22.7553718Z       Grid Max Size:           4294967295(0xffffffff)             
2025-12-04T09:27:22.7554252Z       Grid Max Size per Dimension:
2025-12-04T09:27:22.7554713Z         x                        2147483647(0x7fffffff)             
2025-12-04T09:27:22.7555203Z         y                        65535(0xffff)                      
2025-12-04T09:27:22.7555690Z         z                        65535(0xffff)                      
2025-12-04T09:27:22.7556413Z       FBarrier Max Size:       32                                 
2025-12-04T09:27:22.7556937Z *** Done ***             
2025-12-04T09:27:22.7557321Z + rocminfo
2025-12-04T09:27:22.7557661Z + grep -E 'Name:.*\sgfx|Marketing'
2025-12-04T09:27:22.8047934Z   Marketing Name:          AMD EPYC 9575F 64-Core Processor   
2025-12-04T09:27:22.8048740Z   Marketing Name:          AMD EPYC 9575F 64-Core Processor   
2025-12-04T09:27:22.8049377Z   Name:                    gfx942                             
2025-12-04T09:27:22.8049952Z   Marketing Name:                                             
2025-12-04T09:27:22.8105035Z + MAYBE_ROCM=rocm/
2025-12-04T09:27:22.8105473Z + [[ linux-jammy-rocm-py3.10 == *xpu* ]]
2025-12-04T09:27:22.8106019Z + [[ linux-jammy-rocm-py3.10 != *-bazel-* ]]
2025-12-04T09:27:22.8106533Z + pip_install ninja==1.10.2
2025-12-04T09:27:22.8107096Z + pip_install_pkg='python3 -m pip install --progress-bar off'
2025-12-04T09:27:22.8107762Z + python3 -m pip install --progress-bar off ninja==1.10.2
2025-12-04T09:27:23.0035009Z Collecting ninja==1.10.2
2025-12-04T09:27:23.0295245Z   Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl.metadata (5.0 kB)
2025-12-04T09:27:23.0370013Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl (108 kB)
2025-12-04T09:27:23.2042512Z Installing collected packages: ninja
2025-12-04T09:27:23.2043056Z   Attempting uninstall: ninja
2025-12-04T09:27:23.2046796Z     Found existing installation: ninja 1.11.1.4
2025-12-04T09:27:23.2056159Z     Uninstalling ninja-1.11.1.4:
2025-12-04T09:27:23.2085447Z       Successfully uninstalled ninja-1.11.1.4
2025-12-04T09:27:23.2192683Z Successfully installed ninja-1.10.2
2025-12-04T09:27:23.2609514Z + export PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/opt/rocm/llvm/bin:/opt/rocm/opencl/bin:/opt/rocm/hip/bin:/opt/rocm/hcc/bin:/opt/rocm/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
2025-12-04T09:27:23.2612891Z + PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/opt/rocm/llvm/bin:/opt/rocm/opencl/bin:/opt/rocm/hip/bin:/opt/rocm/hcc/bin:/opt/rocm/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
2025-12-04T09:27:23.2614844Z + [[ linux-jammy-rocm-py3.10 == *aarch64* ]]
2025-12-04T09:27:23.2615390Z + [[ linux-jammy-rocm-py3.10 == *asan* ]]
2025-12-04T09:27:23.2615893Z + [[ linux-jammy-rocm-py3.10 == *-debug* ]]
2025-12-04T09:27:23.2616383Z + [[ linux-jammy-rocm-py3.10 != *-bazel-* ]]
2025-12-04T09:27:23.2617112Z + echo 'We are not in debug mode: linux-jammy-rocm-py3.10. Expect the assertion to pass'
2025-12-04T09:27:23.2618187Z We are not in debug mode: linux-jammy-rocm-py3.10. Expect the assertion to pass
2025-12-04T09:27:23.2618823Z + cd test
2025-12-04T09:27:23.2619320Z + python -c 'import torch; torch._C._crash_if_debug_asserts_fail(424242)'
2025-12-04T09:27:24.0750941Z + [[ default == \n\o\g\p\u\_\N\O\_\A\V\X\2 ]]
2025-12-04T09:27:24.0751594Z + [[ default == \n\o\g\p\u\_\A\V\X\5\1\2 ]]
2025-12-04T09:27:24.0752147Z + [[ default == \l\e\g\a\c\y\_\n\v\i\d\i\a\_\d\r\i\v\e\r ]]
2025-12-04T09:27:24.0757570Z + DYNAMO_BENCHMARK_FLAGS=()
2025-12-04T09:27:24.0759371Z + [[ default == *pr_time_benchmarks* ]]
2025-12-04T09:27:24.0759880Z + [[ default == *dynamo_eager* ]]
2025-12-04T09:27:24.0760357Z + [[ default == *aot_eager* ]]
2025-12-04T09:27:24.0761525Z + [[ default == *aot_inductor* ]]
2025-12-04T09:27:24.0761978Z + [[ default == *max_autotune_inductor* ]]
2025-12-04T09:27:24.0762453Z + [[ default == *inductor* ]]
2025-12-04T09:27:24.0763157Z + [[ default == *dynamic* ]]
2025-12-04T09:27:24.0763563Z + [[ default == *cpu* ]]
2025-12-04T09:27:24.0763932Z + [[ default == *xpu* ]]
2025-12-04T09:27:24.0764352Z + DYNAMO_BENCHMARK_FLAGS+=(--device cuda)
2025-12-04T09:27:24.0792407Z + [[ linux-jammy-rocm-py3.10 == *libtorch* ]]
2025-12-04T09:27:24.0792953Z + [[ linux-jammy-rocm-py3.10 == *-bazel-* ]]
2025-12-04T09:27:24.0796458Z + cd test
2025-12-04T09:27:24.7752145Z + python -c 'import torch; print(torch.__config__.show())'
2025-12-04T09:27:24.7752744Z PyTorch built with:
2025-12-04T09:27:24.7753094Z   - GCC 11.4
2025-12-04T09:27:24.7753441Z   - C++ Version: 201703
2025-12-04T09:27:24.7754355Z   - Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications
2025-12-04T09:27:24.7755510Z   - Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d)
2025-12-04T09:27:24.7771075Z   - OpenMP 201511 (a.k.a. OpenMP 4.5)
2025-12-04T09:27:24.7771604Z   - LAPACK is enabled (usually provided by MKL)
2025-12-04T09:27:24.7772087Z   - NNPACK is enabled
2025-12-04T09:27:24.7772470Z   - CPU capability usage: AVX512
2025-12-04T09:27:24.7772895Z   - HIP Runtime 7.1.25424
2025-12-04T09:27:24.7773262Z   - MIOpen 3.5.1
2025-12-04T09:27:24.7773573Z   - Magma 2.9.0
2025-12-04T09:27:24.7782016Z   - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, COMMIT_SHA=35b7a9a26c5923d98aebaa41a031dae21788a9ee, CXX_COMPILER=/opt/cache/bin/c++, CXX_FLAGS= -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -DNDEBUG -DUSE_KINETO -DLIBKINETO_NOCUPTI -DLIBKINETO_NOXPUPTI=ON -DUSE_FBGEMM -DUSE_FBGEMM_GENAI -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 -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, TORCH_VERSION=2.10.0, USE_CUDA=OFF, USE_CUDNN=OFF, USE_CUSPARSELT=OFF, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_GLOO=ON, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=ON, USE_ROCM_KERNEL_ASSERT=OFF, USE_XCCL=OFF, USE_XPU=OFF, 
2025-12-04T09:27:24.7791231Z 
2025-12-04T09:27:24.9972045Z + cd test
2025-12-04T09:27:24.9972603Z + python -c 'import torch; print(torch.__config__.parallel_info())'
2025-12-04T09:27:25.6299984Z ATen/Parallel:
2025-12-04T09:27:25.6300530Z 	at::get_num_threads() : 128
2025-12-04T09:27:25.6301001Z 	at::get_num_interop_threads() : 128
2025-12-04T09:27:25.6301484Z OpenMP 201511 (a.k.a. OpenMP 4.5)
2025-12-04T09:27:25.6301992Z 	omp_get_max_threads() : 128
2025-12-04T09:27:25.6302859Z Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications
2025-12-04T09:27:25.6303774Z 	mkl_get_max_threads() : 128
2025-12-04T09:27:25.6304381Z Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d)
2025-12-04T09:27:25.6305043Z std::thread::hardware_concurrency() : 128
2025-12-04T09:27:25.6305509Z Environment variables:
2025-12-04T09:27:25.6305883Z 	OMP_NUM_THREADS : [not set]
2025-12-04T09:27:25.6306270Z 	MKL_NUM_THREADS : [not set]
2025-12-04T09:27:25.6306673Z ATen parallel backend: OpenMP
2025-12-04T09:27:25.6306945Z 
2025-12-04T09:27:25.8282351Z + [[ default == *numpy_2* ]]
2025-12-04T09:27:25.8282998Z + [[ linux-jammy-rocm-py3.10 == *aarch64* ]]
2025-12-04T09:27:25.8283581Z + [[ default == *backward* ]]
2025-12-04T09:27:25.8284080Z + [[ default == *libtorch_agnostic_targetting* ]]
2025-12-04T09:27:25.8284619Z + [[ default == *xla* ]]
2025-12-04T09:27:25.8285596Z + [[ default == *vllm* ]]
2025-12-04T09:27:25.8285981Z + [[ default == *executorch* ]]
2025-12-04T09:27:25.8286405Z + [[ default == \j\i\t\_\l\e\g\a\c\y ]]
2025-12-04T09:27:25.8286889Z + [[ default == \q\u\a\n\t\i\z\a\t\i\o\n ]]
2025-12-04T09:27:25.8287417Z + [[ linux-jammy-rocm-py3.10 == *libtorch* ]]
2025-12-04T09:27:25.8287923Z + [[ default == distributed ]]
2025-12-04T09:27:25.8288557Z + [[ default == *operator_benchmark* ]]
2025-12-04T09:27:25.8289035Z + [[ default == *operator_microbenchmark* ]]
2025-12-04T09:27:25.8289531Z + [[ default == *attention_microbenchmark* ]]
2025-12-04T09:27:25.8290013Z + [[ default == *inductor_distributed* ]]
2025-12-04T09:27:25.8290517Z + [[ default == *inductor-halide* ]]
2025-12-04T09:27:25.8290998Z + [[ default == *inductor-pallas* ]]
2025-12-04T09:27:25.8291505Z + [[ default == *inductor-triton-cpu* ]]
2025-12-04T09:27:25.8292028Z + [[ default == *inductor-micro-benchmark* ]]
2025-12-04T09:27:25.8292560Z + [[ default == *aoti_cross_compile_for_windows* ]]
2025-12-04T09:27:25.8293077Z + [[ default == *huggingface* ]]
2025-12-04T09:27:25.8293487Z + [[ default == *timm* ]]
2025-12-04T09:27:25.8293867Z + [[ default == cachebench ]]
2025-12-04T09:27:25.8294280Z + [[ default == verify_cachebench ]]
2025-12-04T09:27:25.8294717Z + [[ default == *torchbench* ]]
2025-12-04T09:27:25.8295145Z + [[ default == *inductor_cpp_wrapper* ]]
2025-12-04T09:27:25.8295614Z + [[ default == *inductor_core* ]]
2025-12-04T09:27:25.8296040Z + [[ default == *inductor* ]]
2025-12-04T09:27:25.8296434Z + [[ default == *einops* ]]
2025-12-04T09:27:25.8296829Z + [[ default == *dynamo_core* ]]
2025-12-04T09:27:25.8297245Z + [[ default == *dynamo_wrapped* ]]
2025-12-04T09:27:25.8297697Z + [[ linux-jammy-rocm-py3.10 == *rocm* ]]
2025-12-04T09:27:25.8298417Z + [[ -n '' ]]
2025-12-04T09:27:25.8298720Z + [[ 2 == 1 ]]
2025-12-04T09:27:25.8299025Z + [[ 2 == 2 ]]
2025-12-04T09:27:25.8299319Z + [[ 6 -gt 1 ]]
2025-12-04T09:27:25.8299645Z + install_torchvision
2025-12-04T09:27:25.8300002Z + local orig_preload
2025-12-04T09:27:25.8300347Z + local commit
2025-12-04T09:27:25.8300682Z ++ get_pinned_commit vision
2025-12-04T09:27:25.8301106Z ++ cat .github/ci_commit_pins/vision.txt
2025-12-04T09:27:25.8301628Z + commit=617079d944b0e72632311c30ae2bbdf1168b901e
2025-12-04T09:27:25.8302118Z + orig_preload=
2025-12-04T09:27:25.8302447Z + '[' -n '' ']'
2025-12-04T09:27:25.8302798Z + [[ linux-jammy-rocm-py3.10 == *cuda* ]]
2025-12-04T09:27:25.8303820Z + pip_build_and_install git+https://github.com/pytorch/vision.git@617079d944b0e72632311c30ae2bbdf1168b901e dist/vision
2025-12-04T09:27:25.8305384Z + local build_target=git+https://github.com/pytorch/vision.git@617079d944b0e72632311c30ae2bbdf1168b901e
2025-12-04T09:27:25.8306300Z + local wheel_dir=dist/vision
2025-12-04T09:27:25.8306729Z + local found_whl=0
2025-12-04T09:27:25.8307118Z + for file in "${wheel_dir}"/*.whl
2025-12-04T09:27:25.8307577Z + [[ -f dist/vision/*.whl ]]
2025-12-04T09:27:25.8307950Z + '[' 0 == 0 ']'
2025-12-04T09:27:25.8309022Z + python3 -m pip wheel --no-build-isolation --no-deps -w dist/vision git+https://github.com/pytorch/vision.git@617079d944b0e72632311c30ae2bbdf1168b901e
2025-12-04T09:27:25.9797443Z Collecting git+https://github.com/pytorch/vision.git@617079d944b0e72632311c30ae2bbdf1168b901e
2025-12-04T09:27:25.9799585Z   Cloning https://github.com/pytorch/vision.git (to revision 617079d944b0e72632311c30ae2bbdf1168b901e) to /tmp/pip-req-build-n7bncfp6
2025-12-04T09:27:25.9817427Z   Running command git clone --filter=blob:none --quiet https://github.com/pytorch/vision.git /tmp/pip-req-build-n7bncfp6
2025-12-04T09:27:29.4213861Z   Running command git rev-parse -q --verify 'sha^617079d944b0e72632311c30ae2bbdf1168b901e'
2025-12-04T09:27:29.4240444Z   Running command git fetch -q https://github.com/pytorch/vision.git 617079d944b0e72632311c30ae2bbdf1168b901e
2025-12-04T09:27:30.0813324Z   Resolved https://github.com/pytorch/vision.git to commit 617079d944b0e72632311c30ae2bbdf1168b901e
2025-12-04T09:27:31.5978704Z   Preparing metadata (pyproject.toml) ... [?25l- \ | done
2025-12-04T09:27:31.6028581Z [?25hBuilding wheels for collected packages: torchvision
2025-12-04T09:28:10.8852114Z   Building wheel for torchvision (pyproject.toml) ... [?25l- \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / done
2025-12-04T09:28:10.8900531Z [?25h  Created wheel for torchvision: filename=torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl size=1809009 sha256=33a2d8737afe00af7d2d02addca85aa6876288df30bffc1e78f5e4baae2a35d0
2025-12-04T09:28:10.8902673Z   Stored in directory: /var/lib/jenkins/.cache/pip/wheels/12/b2/29/1f82685c5b5173629e1f36a9b93989ce92ce563e5fb91d27ac
2025-12-04T09:28:10.8956254Z Successfully built torchvision
2025-12-04T09:28:10.9664687Z + for file in "${wheel_dir}"/*.whl
2025-12-04T09:28:10.9665643Z + pip_install_whl dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl
2025-12-04T09:28:10.9669165Z + args=('dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl')
2025-12-04T09:28:10.9669948Z + local args
2025-12-04T09:28:10.9670592Z + [[ dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl == *\ * ]]
2025-12-04T09:28:10.9671392Z + for path in "${args[@]}"
2025-12-04T09:28:10.9672162Z + echo 'Installing dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl'
2025-12-04T09:28:10.9673280Z Installing dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl
2025-12-04T09:28:10.9674568Z + python3 -mpip install --no-index --no-deps dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl
2025-12-04T09:28:11.1230338Z Processing ./dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl
2025-12-04T09:28:11.1276833Z Installing collected packages: torchvision
2025-12-04T09:28:11.3315675Z Successfully installed torchvision-0.25.0a0+617079d
2025-12-04T09:28:11.3530063Z + '[' -n '' ']'
2025-12-04T09:28:11.3531730Z + test_python_shard 2
2025-12-04T09:28:11.3532247Z + [[ -z 6 ]]
2025-12-04T09:28:11.3533597Z + python test/run_test.py --exclude-jit-executor --exclude-distributed-tests --exclude-quantization-tests --shard 2 6 --verbose --upload-artifacts-while-running
2025-12-04T09:28:13.0542132Z Excluding inductor/test_max_autotune on ROCm
2025-12-04T09:28:13.0542806Z Excluding test_cuda_nvml_based_avail on ROCm
2025-12-04T09:28:14.0549608Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/pytorch/test/.pytorch-disabled-tests.json
2025-12-04T09:28:14.5165723Z Ignoring disabled issues:  ['']
2025-12-04T09:28:14.5255360Z Found test times from artifacts
2025-12-04T09:28:14.5573530Z Found test times from artifacts
2025-12-04T09:28:14.5577583Z Running all tests
2025-12-04T09:28:14.5856979Z Running parallel tests on 1 processes
2025-12-04T09:28:14.5860856Z Name: tests to run (est. time: 181.89min)
2025-12-04T09:28:14.5861368Z   Serial tests (94):
2025-12-04T09:28:14.5861754Z     inductor/test_aot_inductor 1/3
2025-12-04T09:28:14.5862247Z     inductor/test_torchinductor_dynamic_shapes 4/4
2025-12-04T09:28:14.5862796Z     inductor/test_torchinductor_opinfo 4/12
2025-12-04T09:28:14.5865385Z     inductor/test_torchinductor_opinfo 10/12
2025-12-04T09:28:14.5865870Z     inductor/test_cpu_repro 2/5
2025-12-04T09:28:14.5866304Z     inductor/test_smoke 1/1
2025-12-04T09:28:14.5866717Z     inductor/test_compiled_autograd 2/2
2025-12-04T09:28:14.5867175Z     inductor/test_mmdecomp 1/1
2025-12-04T09:28:14.5867570Z     dynamo/test_ctx_manager 1/1
2025-12-04T09:28:14.5867961Z     dynamo/test_exc 1/1
2025-12-04T09:28:14.5868389Z     dynamo/test_misc 1/1
2025-12-04T09:28:14.5868773Z     inductor/test_flex_attention 4/4
2025-12-04T09:28:14.5869215Z     inductor/test_flex_decoding 2/2
2025-12-04T09:28:14.5869677Z     inductor/test_triton_extension_backend 1/1
2025-12-04T09:28:14.5870171Z     inductor/test_cutedsl_grouped_mm 1/1
2025-12-04T09:28:14.5870643Z     inductor/test_cpp_wrapper_hipify 1/1
2025-12-04T09:28:14.5871113Z     export/test_retraceability 1/1
2025-12-04T09:28:14.5872080Z     dynamo/test_deque_reconstruct 1/1
2025-12-04T09:28:14.5872515Z     inductor/test_utils 1/1
2025-12-04T09:28:14.5872942Z     inductor/test_indexing 1/1
2025-12-04T09:28:14.5873361Z     inductor/test_inductor_annotations 1/1
2025-12-04T09:28:14.5873819Z     inductor/test_compile_worker 1/1
2025-12-04T09:28:14.5874244Z     dynamo/test_einops 1/1
2025-12-04T09:28:14.5874638Z     inductor/test_external_callables 1/1
2025-12-04T09:28:14.5875096Z     dynamo/test_fx_passes_pre_grad 1/1
2025-12-04T09:28:14.5875531Z     inductor/test_fp8 1/1
2025-12-04T09:28:14.5875911Z     inductor/test_flex_flash 1/1
2025-12-04T09:28:14.5876324Z     dynamo/test_model_output 1/1
2025-12-04T09:28:14.5876773Z     inductor/test_metrics 1/1
2025-12-04T09:28:14.5877187Z     export/test_unflatten_training_ir 1/1
2025-12-04T09:28:14.5877654Z     inductor/test_triton_kernels 1/1
2025-12-04T09:28:14.5878159Z     dynamo/test_modules 1/1
2025-12-04T09:28:14.5878555Z     inductor/test_cudacodecache 1/1
2025-12-04T09:28:14.5879000Z     dynamo/test_fx_graph_runnable 1/1
2025-12-04T09:28:14.5879440Z     inductor/test_codegen_triton 1/1
2025-12-04T09:28:14.5879860Z     dynamo/test_frame_init 1/1
2025-12-04T09:28:14.5880259Z     inductor/test_device_assert 1/1
2025-12-04T09:28:14.5880682Z     dynamo/test_skip_non_tensor 1/1
2025-12-04T09:28:14.5881119Z     dynamo/test_skip_guard_eval_unsafe 1/1
2025-12-04T09:28:14.5881595Z     inductor/test_decompose_mem_bound_mm 1/1
2025-12-04T09:28:14.5882056Z     inductor/test_op_dtype_prop 1/1
2025-12-04T09:28:14.5882488Z     inductor/test_control_flow 4/4
2025-12-04T09:28:14.5882909Z     dynamo/test_structured_trace 1/1
2025-12-04T09:28:14.5883325Z     export/test_hop 1/1
2025-12-04T09:28:14.5883699Z     export/test_experimental 1/1
2025-12-04T09:28:14.5884110Z     export/test_export 1/1
2025-12-04T09:28:14.5884662Z     dynamo/test_comptime 1/1
2025-12-04T09:28:14.5885047Z     test_mkl_verbose 1/1
2025-12-04T09:28:14.5885419Z     test_comparison_utils 1/1
2025-12-04T09:28:14.5885825Z     functorch/test_ac_logging 1/1
2025-12-04T09:28:14.5886243Z     test_mkldnn_verbose 1/1
2025-12-04T09:28:14.5886627Z     test_cpp_api_parity 1/1
2025-12-04T09:28:14.5887030Z     nn/attention/test_open_registry 1/1
2025-12-04T09:28:14.5887465Z     test_as_strided 1/1
2025-12-04T09:28:14.5887816Z     test_proxy_tensor 1/1
2025-12-04T09:28:14.5888249Z     test_matmul_cuda 1/1
2025-12-04T09:28:14.5888603Z     xpu/test_gemm 1/1
2025-12-04T09:28:14.5888941Z     test_fx_passes 1/1
2025-12-04T09:28:14.5889300Z     functorch/test_logging 1/1
2025-12-04T09:28:14.5889711Z     higher_order_ops/test_local_map 1/1
2025-12-04T09:28:14.5890153Z     test_tensorexpr 1/1
2025-12-04T09:28:14.5890495Z     test_jiterator 1/1
2025-12-04T09:28:14.5890852Z     test_native_functions 1/1
2025-12-04T09:28:14.5891229Z     test_typing 1/1
2025-12-04T09:28:14.5891605Z     higher_order_ops/test_invoke_subgraph 1/1
2025-12-04T09:28:14.5892050Z     test_decomp 3/12
2025-12-04T09:28:14.5892376Z     test_decomp 9/12
2025-12-04T09:28:14.5892707Z     test_legacy_vmap 1/1
2025-12-04T09:28:14.5893086Z     higher_order_ops/test_print 1/1
2025-12-04T09:28:14.5893514Z     test_per_overload_api 1/1
2025-12-04T09:28:14.5893907Z     test_multiprocessing 1/1
2025-12-04T09:28:14.5894273Z     test_meta 2/3
2025-12-04T09:28:14.5894599Z     test_numpy_interop 1/1
2025-12-04T09:28:14.5894983Z     profiler/test_cpp_thread 1/1
2025-12-04T09:28:14.5895382Z     test_ops_gradients 1/2
2025-12-04T09:28:14.5895774Z     distributions/test_constraints 1/1
2025-12-04T09:28:14.5896191Z     test_linalg 1/2
2025-12-04T09:28:14.5896503Z     test_modules 2/2
2025-12-04T09:28:14.5896842Z     optim/test_swa_utils 1/1
2025-12-04T09:28:14.5897426Z     cpp_extensions/python_agnostic_extension/test/test_python_agnostic 1/1
2025-12-04T09:28:14.5898156Z     functorch/test_memory_efficient_fusion 1/1
2025-12-04T09:28:14.5898680Z     torch_np/numpy_tests/lib/test_histograms 1/1
2025-12-04T09:28:14.5899162Z     torch_np/test_indexing 1/1
2025-12-04T09:28:14.5899546Z     test_tensorboard 1/1
2025-12-04T09:28:14.5900015Z     test_numba_integration 1/1
2025-12-04T09:28:14.5900408Z     test_functional_optim 1/1
2025-12-04T09:28:14.5900790Z     test_maskedtensor 1/1
2025-12-04T09:28:14.5901139Z     test_ops 2/5
2025-12-04T09:28:14.5901491Z     torch_np/numpy_tests/core/test_dtype 1/1
2025-12-04T09:28:14.5901943Z     lazy/test_debug_util 1/1
2025-12-04T09:28:14.5902329Z     nn/test_load_state_dict 1/1
2025-12-04T09:28:14.5902715Z     test_shape_ops 1/1
2025-12-04T09:28:14.5903065Z     functorch/test_ops 1/4
2025-12-04T09:28:14.5903415Z     test_nn 2/2
2025-12-04T09:28:14.5903724Z   Parallel tests (0):
2025-12-04T09:28:14.5904087Z Name: excluded (est. time: 0.0min)
2025-12-04T09:28:14.5904488Z   Serial tests (0):
2025-12-04T09:28:14.5904807Z   Parallel tests (0):
2025-12-04T09:28:14.5905445Z Running inductor/test_aot_inductor 1/3 ... [2025-12-04 09:28:14.586096][4965277.082286351]
2025-12-04T09:28:14.5906195Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-12-04T09:28:14.5908183Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_aot_inductor.py', '--shard-id=1', '--num-shards=3', '-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 09:28:14.586304]
2025-12-04T09:28:23.1840807Z 
2025-12-04T09:28:23.1841725Z inductor/test_aot_inductor 1/3 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_aot_inductor_1.3_a6c19ea55468e7a7_.log
2025-12-04T09:28:23.1842533Z Running 0 items in this shard:
2025-12-04T09:28:23.1842715Z 
2025-12-04T09:28:23.1843026Z Finished inductor/test_aot_inductor 1/3 ... [2025-12-04 09:28:23.183942][4965285.680126261], took 0.14min
2025-12-04T09:28:23.1849249Z Parsing testcases for test report: /var/lib/jenkins/pytorch/test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-2a683b2ad952299a.xml
2025-12-04T09:28:25.3429201Z Failed to parse and upload json test reports: Unable to locate credentials
2025-12-04T09:28:25.3430266Z GITHUB_RUN_ID, GITHUB_RUN_ATTEMPT, or ARTIFACTS_FILE_SUFFIX not set, not uploading
2025-12-04T09:28:25.3430977Z Uploading artifacts took 0.00 seconds
2025-12-04T09:28:25.3431842Z Running inductor/test_torchinductor_dynamic_shapes 4/4 ... [2025-12-04 09:28:25.342551][4965287.838737428]
2025-12-04T09:28:25.3432751Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-12-04T09:28:25.3434778Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_torchinductor_dynamic_shapes.py', '--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 09:28:25.342822]
2025-12-04T09:28:33.5733089Z 
2025-12-04T09:28:33.5735002Z inductor/test_torchinductor_dynamic_shapes 4/4 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_dynamic_shapes_4.4_09d4b96321cfd2b6_.log
2025-12-04T09:28:33.5736774Z Running 0 items in this shard:
2025-12-04T09:28:33.5737063Z 
2025-12-04T09:28:33.5737704Z Finished inductor/test_torchinductor_dynamic_shapes 4/4 ... [2025-12-04 09:28:33.572952][4965296.069137406], took 0.14min
2025-12-04T09:28:33.5740978Z Parsing testcases for test report: /var/lib/jenkins/pytorch/test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-2a683b2ad952299a.xml
2025-12-04T09:28:33.5744526Z Failed to parse and upload json test reports: Unable to locate credentials
2025-12-04T09:28:33.5747218Z Running inductor/test_torchinductor_opinfo 4/12 ... [2025-12-04 09:28:33.574469][4965296.070660701]
2025-12-04T09:28:33.5748193Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-12-04T09:28:33.5751086Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_torchinductor_opinfo.py', '--shard-id=4', '--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 09:28:33.574655]
2025-12-04T09:28:44.8598742Z 
2025-12-04T09:28:44.8600514Z inductor/test_torchinductor_opinfo 4/12 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_opinfo_4.12_5fd9474ccd79e9ff_.log
2025-12-04T09:28:44.8799580Z Running 250 items in this shard: test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_fft_fftshift_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_vecdot_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_glu_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_rsub_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_fft_fftshift_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_fft_fftshift_cuda_float64, 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test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_rsub_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_rsub_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_rsub_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_rsub_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_rsub_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_rsub_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_rsub_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_rsub_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_rsub_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_rsub_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_rsub_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_rsub_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_rsub_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_rsub_cuda_float32
2025-12-04T09:28:44.8967636Z 
2025-12-04T09:28:44.8967990Z Finished inductor/test_torchinductor_opinfo 4/12 ... [2025-12-04 09:28:44.859669][4965307.355856601], took 0.19min
2025-12-04T09:28:44.8969123Z Parsing testcases for test report: /var/lib/jenkins/pytorch/test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-2a683b2ad952299a.xml
2025-12-04T09:28:44.8970096Z Failed to parse and upload json test reports: Unable to locate credentials
2025-12-04T09:28:44.8970722Z Running inductor/test_torchinductor_opinfo 10/12 ... [2025-12-04 09:28:44.860859][4965307.357049702]
2025-12-04T09:28:44.8971243Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-12-04T09:28:44.8972486Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_torchinductor_opinfo.py', '--shard-id=10', '--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 09:28:44.861053]
2025-12-04T09:28:55.1249869Z 
2025-12-04T09:28:55.1250701Z inductor/test_torchinductor_opinfo 10/12 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_opinfo_10.12_82f530bf5ebb13b6_.log
2025-12-04T09:28:55.1264166Z Running 50 items in this shard: test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_int64
2025-12-04T09:28:55.1296315Z 
2025-12-04T09:28:55.1296887Z Finished inductor/test_torchinductor_opinfo 10/12 ... [2025-12-04 09:28:55.124712][4965317.620896378], took 0.17min
2025-12-04T09:28:55.1298726Z Parsing testcases for test report: /var/lib/jenkins/pytorch/test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-2a683b2ad952299a.xml
2025-12-04T09:28:55.1300258Z Failed to parse and upload json test reports: Unable to locate credentials
2025-12-04T09:28:55.1301156Z Running inductor/test_cpu_repro 2/5 ... [2025-12-04 09:28:55.126652][4965317.622841847]
2025-12-04T09:28:55.1301882Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-12-04T09:28:55.1303767Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_cpu_repro.py', '--shard-id=2', '--num-shards=5', '-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 09:28:55.126992]
2025-12-04T09:29:01.4494705Z 
2025-12-04T09:29:01.4496588Z inductor/test_cpu_repro 2/5 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cpu_repro_2.5_36770e2d506adb54_.log
2025-12-04T09:29:01.4497335Z Running 0 items in this shard:
2025-12-04T09:29:01.4497494Z 
2025-12-04T09:29:01.4497750Z Finished inductor/test_cpu_repro 2/5 ... [2025-12-04 09:29:01.449117][4965323.945302042], took 0.11min
2025-12-04T09:29:01.4501461Z Parsing testcases for test report: /var/lib/jenkins/pytorch/test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-2a683b2ad952299a.xml
2025-12-04T09:29:01.4511922Z Failed to parse and upload json test reports: Unable to locate credentials
2025-12-04T09:29:01.4520671Z Running inductor/test_smoke 1/1 ... [2025-12-04 09:29:01.451570][4965323.947757932]
2025-12-04T09:29:01.4521554Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-12-04T09:29:01.4523665Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_smoke.py', '--shard-id=1', '--num-shards=1', '-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 09:29:01.452014]
2025-12-04T09:29:07.2803119Z 
2025-12-04T09:29:07.2804767Z inductor/test_smoke 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_smoke_1.1_41f103fb655486ff_.log
2025-12-04T09:29:07.2805818Z 
2025-12-04T09:29:07.2806287Z Finished inductor/test_smoke 1/1 ... [2025-12-04 09:29:07.279883][4965329.776066805], took 0.10min
2025-12-04T09:29:07.2810997Z Parsing testcases for test report: /var/lib/jenkins/pytorch/test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-2a683b2ad952299a.xml
2025-12-04T09:29:07.2821258Z Failed to parse and upload json test reports: Unable to locate credentials
2025-12-04T09:29:07.2826900Z Running inductor/test_compiled_autograd 2/2 ... [2025-12-04 09:29:07.282515][4965329.778700013]
2025-12-04T09:29:07.2827747Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-12-04T09:29:07.2833192Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_compiled_autograd.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 09:29:07.283018]
2025-12-04T09:29:15.0181473Z 
2025-12-04T09:29:15.0183047Z inductor/test_compiled_autograd 2/2 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_compiled_autograd_2.2_b1681f2e3adda0ba_.log
2025-12-04T09:29:15.0184527Z Running 0 items in this shard:
2025-12-04T09:29:15.0184810Z 
2025-12-04T09:29:15.0185346Z Finished inductor/test_compiled_autograd 2/2 ... [2025-12-04 09:29:15.017749][4965337.513934871], took 0.13min
2025-12-04T09:29:15.0192359Z Parsing testcases for test report: /var/lib/jenkins/pytorch/test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-2a683b2ad952299a.xml
2025-12-04T09:29:15.0199316Z Failed to parse and upload json test reports: Unable to locate credentials
2025-12-04T09:29:15.0204369Z Running inductor/test_mmdecomp 1/1 ... [2025-12-04 09:29:15.020254][4965337.516441731]
2025-12-04T09:29:15.0205105Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-12-04T09:29:15.0209899Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_mmdecomp.py', '--shard-id=1', '--num-shards=1', '-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 09:29:15.020729]
2025-12-04T09:29:20.6249053Z 
2025-12-04T09:29:20.6250541Z inductor/test_mmdecomp 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_mmdecomp_1.1_5b93ff30530b66e9_.log
2025-12-04T09:29:20.6251894Z Running 0 items in this shard:
2025-12-04T09:29:20.6252170Z 
2025-12-04T09:29:20.6253528Z Finished inductor/test_mmdecomp 1/1 ... [2025-12-04 09:29:20.624549][4965343.120735362], took 0.09min
2025-12-04T09:29:20.6256328Z Parsing testcases for test report: /var/lib/jenkins/pytorch/test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-2a683b2ad952299a.xml
2025-12-04T09:29:20.6266230Z Failed to parse and upload json test reports: Unable to locate credentials
2025-12-04T09:29:20.6271815Z Running dynamo/test_ctx_manager 1/1 ... [2025-12-04 09:29:20.626998][4965343.123185763]
2025-12-04T09:29:20.6272535Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-12-04T09:29:20.6276988Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_ctx_manager.py', '--shard-id=1', '--num-shards=1', '-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 09:29:20.627433]
2025-12-04T09:29:26.0708595Z 
2025-12-04T09:29:26.0710165Z dynamo/test_ctx_manager 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_ctx_manager_1.1_25749722c609d35e_.log
2025-12-04T09:29:26.0711428Z Running 0 items in this shard:
2025-12-04T09:29:26.0711706Z 
2025-12-04T09:29:26.0712188Z Finished dynamo/test_ctx_manager 1/1 ... [2025-12-04 09:29:26.070449][4965348.566633807], took 0.09min
2025-12-04T09:29:26.0717337Z Parsing testcases for test report: /var/lib/jenkins/pytorch/test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-2a683b2ad952299a.xml
2025-12-04T09:29:26.0726993Z Failed to parse and upload json test reports: Unable to locate credentials
2025-12-04T09:29:26.0732343Z Running dynamo/test_exc 1/1 ... [2025-12-04 09:29:26.073069][4965348.569257035]
2025-12-04T09:29:26.0733033Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-12-04T09:29:26.0738041Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_exc.py', '--shard-id=1', '--num-shards=1', '-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 09:29:26.073516]
2025-12-04T09:29:28.4486781Z 
2025-12-04T09:29:28.4488356Z dynamo/test_exc 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_exc_1.1_1ee42a5351ed0c36_.log
2025-12-04T09:29:28.4489483Z Running 0 items in this shard:
2025-12-04T09:29:28.4489770Z 
2025-12-04T09:29:28.4490175Z Finished dynamo/test_exc 1/1 ... [2025-12-04 09:29:28.448296][4965350.944481047], took 0.04min
2025-12-04T09:29:28.4496163Z Parsing testcases for test report: /var/lib/jenkins/pytorch/test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-2a683b2ad952299a.xml
2025-12-04T09:29:28.4505857Z Failed to parse and upload json test reports: Unable to locate credentials
2025-12-04T09:29:28.4511018Z Running dynamo/test_misc 1/1 ... [2025-12-04 09:29:28.450929][4965350.947117064]
2025-12-04T09:29:28.4511715Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-12-04T09:29:28.4516523Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_misc.py', '--shard-id=1', '--num-shards=1', '-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 09:29:28.451376]
2025-12-04T09:29:32.2225011Z 
2025-12-04T09:29:32.2226330Z dynamo/test_misc 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_misc_1.1_2915db62c776eb81_.log
2025-12-04T09:29:32.2227465Z Running 0 items in this shard:
2025-12-04T09:29:32.2227754Z 
2025-12-04T09:29:32.2228355Z Finished dynamo/test_misc 1/1 ... [2025-12-04 09:29:32.222151][4965354.71833626], took 0.06min
2025-12-04T09:29:32.2234344Z Parsing testcases for test report: /var/lib/jenkins/pytorch/test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-2a683b2ad952299a.xml
2025-12-04T09:29:32.2244383Z Failed to parse and upload json test reports: Unable to locate credentials
2025-12-04T09:29:32.2251161Z Running inductor/test_flex_attention 4/4 ... [2025-12-04 09:29:32.224825][4965354.721012747]
2025-12-04T09:29:32.2251937Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-12-04T09:29:32.2255505Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_flex_attention.py', '--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 09:29:32.225266]
2025-12-04T09:29:38.5762414Z 
2025-12-04T09:29:38.5764632Z inductor/test_flex_attention 4/4 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_flex_attention_4.4_a6a1c0562c57afe8_.log
2025-12-04T09:29:38.5766071Z Running 0 items in this shard:
2025-12-04T09:29:38.5766360Z 
2025-12-04T09:29:38.5766882Z Finished inductor/test_flex_attention 4/4 ... [2025-12-04 09:29:38.575837][4965361.072021971], took 0.11min
2025-12-04T09:29:38.5772904Z Parsing testcases for test report: /var/lib/jenkins/pytorch/test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-2a683b2ad952299a.xml
2025-12-04T09:29:38.5782769Z Failed to parse and upload json test reports: Unable to locate credentials
2025-12-04T09:29:38.5788003Z Running inductor/test_flex_decoding 2/2 ... [2025-12-04 09:29:38.578634][4965361.074822236]
2025-12-04T09:29:38.5788826Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-12-04T09:29:38.5793890Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_flex_decoding.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 09:29:38.579092]
2025-12-04T09:29:41.3316445Z 
2025-12-04T09:29:41.3318013Z inductor/test_flex_decoding 2/2 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_flex_decoding_2.2_504c23e149a7b812_.log
2025-12-04T09:29:41.3319584Z Running 0 items in this shard:
2025-12-04T09:29:41.3319871Z 
2025-12-04T09:29:41.3320364Z Finished inductor/test_flex_decoding 2/2 ... [2025-12-04 09:29:41.331283][4965363.827468845], took 0.05min
2025-12-04T09:29:41.3326411Z Parsing testcases for test report: /var/lib/jenkins/pytorch/test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-2a683b2ad952299a.xml
2025-12-04T09:29:41.3335500Z Failed to parse and upload json test reports: Unable to locate credentials
2025-12-04T09:29:41.3341286Z Running inductor/test_triton_extension_backend 1/1 ... [2025-12-04 09:29:41.333968][4965363.830156722]
2025-12-04T09:29:41.3342130Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-12-04T09:29:41.3346757Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_triton_extension_backend.py', '--shard-id=1', '--num-shards=1', '-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 09:29:41.334401]
2025-12-04T09:29:46.9151367Z 
2025-12-04T09:29:46.9153076Z inductor/test_triton_extension_backend 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_triton_extension_backend_1.1_25c4bc25ac553cf5_.log
2025-12-04T09:29:46.9154678Z Running 0 items in this shard:
2025-12-04T09:29:46.9155036Z 
2025-12-04T09:29:46.9155659Z Finished inductor/test_triton_extension_backend 1/1 ... [2025-12-04 09:29:46.914740][4965369.410928835], took 0.09min
2025-12-04T09:29:46.9161227Z Parsing testcases for test report: /var/lib/jenkins/pytorch/test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-2a683b2ad952299a.xml
2025-12-04T09:29:46.9170766Z Failed to parse and upload json test reports: Unable to locate credentials
2025-12-04T09:29:46.9175730Z Running inductor/test_cutedsl_grouped_mm 1/1 ... [2025-12-04 09:29:46.917418][4965369.413606162]
2025-12-04T09:29:46.9177211Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-12-04T09:29:46.9183749Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_cutedsl_grouped_mm.py', '--shard-id=1', '--num-shards=1', '-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 09:29:46.917861]
2025-12-04T09:29:48.6967807Z 
2025-12-04T09:29:48.6969310Z inductor/test_cutedsl_grouped_mm 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cutedsl_grouped_mm_1.1_61355c61c240d061_.log
2025-12-04T09:29:48.6970746Z Running 0 items in this shard:
2025-12-04T09:29:48.6971038Z 
2025-12-04T09:29:48.6971600Z Finished inductor/test_cutedsl_grouped_mm 1/1 ... [2025-12-04 09:29:48.696491][4965371.192675535], took 0.03min
2025-12-04T09:29:48.6979592Z Parsing testcases for test report: /var/lib/jenkins/pytorch/test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-2a683b2ad952299a.xml
2025-12-04T09:29:48.6989390Z Failed to parse and upload json test reports: Unable to locate credentials
2025-12-04T09:29:48.6997343Z Running inductor/test_cpp_wrapper_hipify 1/1 ... [2025-12-04 09:29:48.699346][4965371.195532889]
2025-12-04T09:29:48.6998202Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-12-04T09:29:48.7001462Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_cpp_wrapper_hipify.py', '--shard-id=1', '--num-shards=1', '-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 09:29:48.699802]
2025-12-04T09:29:50.4621206Z 
2025-12-04T09:29:50.4623235Z inductor/test_cpp_wrapper_hipify 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cpp_wrapper_hipify_1.1_89b122bb6ae9ec01_.log
2025-12-04T09:29:50.4624795Z Running 0 items in this shard:
2025-12-04T09:29:50.4625108Z 
2025-12-04T09:29:50.4625657Z Finished inductor/test_cpp_wrapper_hipify 1/1 ... [2025-12-04 09:29:50.461778][4965372.957962727], took 0.03min
2025-12-04T09:29:50.4633034Z Parsing testcases for test report: /var/lib/jenkins/pytorch/test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-2a683b2ad952299a.xml
2025-12-04T09:29:50.4642205Z Failed to parse and upload json test reports: Unable to locate credentials
2025-12-04T09:29:50.4647632Z Running export/test_retraceability 1/1 ... [2025-12-04 09:29:50.464611][4965372.960798721]
2025-12-04T09:29:50.4648627Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-12-04T09:29:50.4653486Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_retraceability.py', '--shard-id=1', '--num-shards=1', '-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 09:29:50.465061]
2025-12-04T09:29:56.7324002Z 
2025-12-04T09:29:56.7325667Z export/test_retraceability 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_retraceability_1.1_eabd3741f009e3c1_.log
2025-12-04T09:29:56.7327058Z Running 0 items in this shard:
2025-12-04T09:29:56.7327349Z 
2025-12-04T09:29:56.7327856Z Finished export/test_retraceability 1/1 ... [2025-12-04 09:29:56.732023][4965379.228207569], took 0.10min
2025-12-04T09:29:56.7337701Z Parsing testcases for test report: /var/lib/jenkins/pytorch/test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-2a683b2ad952299a.xml
2025-12-04T09:29:56.7345251Z Failed to parse and upload json test reports: Unable to locate credentials
2025-12-04T09:29:56.7351241Z Running dynamo/test_deque_reconstruct 1/1 ... [2025-12-04 09:29:56.734919][4965379.231106613]
2025-12-04T09:29:56.7352050Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-12-04T09:29:56.7357103Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_deque_reconstruct.py', '--shard-id=1', '--num-shards=1', '-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 09:29:56.735364]
2025-12-04T09:29:58.5019422Z 
2025-12-04T09:29:58.5021014Z dynamo/test_deque_reconstruct 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_deque_reconstruct_1.1_36cd0ca7d015b937_.log
2025-12-04T09:29:58.5022418Z Running 0 items in this shard:
2025-12-04T09:29:58.5022708Z 
2025-12-04T09:29:58.5023231Z Finished dynamo/test_deque_reconstruct 1/1 ... [2025-12-04 09:29:58.501649][4965380.997834245], took 0.03min
2025-12-04T09:29:58.5031669Z Parsing testcases for test report: /var/lib/jenkins/pytorch/test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-2a683b2ad952299a.xml
2025-12-04T09:29:58.5041654Z Failed to parse and upload json test reports: Unable to locate credentials
2025-12-04T09:29:58.5046779Z Running inductor/test_utils 1/1 ... [2025-12-04 09:29:58.504498][4965381.000686369]
2025-12-04T09:29:58.5047504Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-12-04T09:29:58.5052205Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_utils.py', '--shard-id=1', '--num-shards=1', '-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 09:29:58.504933]
2025-12-04T09:30:00.5866266Z 
2025-12-04T09:30:00.5867497Z inductor/test_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_utils_1.1_d59e058ba9ef7ecb_.log
2025-12-04T09:30:00.5868795Z Running 0 items in this shard:
2025-12-04T09:30:00.5869643Z 
2025-12-04T09:30:00.5870087Z Finished inductor/test_utils 1/1 ... [2025-12-04 09:30:00.586322][4965383.082507199], took 0.03min
2025-12-04T09:30:00.5878471Z Parsing testcases for test report: /var/lib/jenkins/pytorch/test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-2a683b2ad952299a.xml
2025-12-04T09:30:00.5890845Z Failed to parse and upload json test reports: Unable to locate credentials
2025-12-04T09:30:00.5894791Z Running inductor/test_indexing 1/1 ... [2025-12-04 09:30:00.589223][4965383.085410562]
2025-12-04T09:30:00.5895541Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-12-04T09:30:00.5900061Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_indexing.py', '--shard-id=1', '--num-shards=1', '-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 09:30:00.589648]
2025-12-04T09:30:05.9477262Z 
2025-12-04T09:30:05.9479222Z inductor/test_indexing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_indexing_1.1_84ec82d7639681d7_.log
2025-12-04T09:30:05.9480785Z Running 0 items in this shard:
2025-12-04T09:30:05.9481140Z 
2025-12-04T09:30:05.9481609Z Finished inductor/test_indexing 1/1 ... [2025-12-04 09:30:05.947339][4965388.443523729], took 0.09min
2025-12-04T09:30:05.9489487Z Parsing testcases for test report: /var/lib/jenkins/pytorch/test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-2a683b2ad952299a.xml
2025-12-04T09:30:05.9498854Z Failed to parse and upload json test reports: Unable to locate credentials
2025-12-04T09:30:05.9507305Z Running inductor/test_inductor_annotations 1/1 ... [2025-12-04 09:30:05.950301][4965388.446488571]
2025-12-04T09:30:05.9508176Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-12-04T09:30:05.9511165Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_inductor_annotations.py', '--shard-id=1', '--num-shards=1', '-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 09:30:05.950740]
2025-12-04T09:30:11.4244497Z 
2025-12-04T09:30:11.4246233Z inductor/test_inductor_annotations 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_inductor_annotations_1.1_c51610e29474ffee_.log
2025-12-04T09:30:11.4247646Z Running 0 items in this shard:
2025-12-04T09:30:11.4247939Z 
2025-12-04T09:30:11.4248702Z Finished inductor/test_inductor_annotations 1/1 ... [2025-12-04 09:30:11.424017][4965393.920202037], took 0.09min
2025-12-04T09:30:11.4256505Z Parsing testcases for test report: /var/lib/jenkins/pytorch/test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-2a683b2ad952299a.xml
2025-12-04T09:30:11.4268836Z Failed to parse and upload json test reports: Unable to locate credentials
2025-12-04T09:30:11.4273170Z Running inductor/test_compile_worker 1/1 ... [2025-12-04 09:30:11.427013][4965393.923201059]
2025-12-04T09:30:11.4273930Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-12-04T09:30:11.4277313Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_compile_worker.py', '--shard-id=1', '--num-shards=1', '-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 09:30:11.427450]
2025-12-04T09:30:17.1756304Z 
2025-12-04T09:30:17.1758020Z inductor/test_compile_worker 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_compile_worker_1.1_2b369f99bad6fb38_.log
2025-12-04T09:30:17.1759616Z Running 0 items in this shard:
2025-12-04T09:30:17.1759907Z 
2025-12-04T09:30:17.1760417Z Finished inductor/test_compile_worker 1/1 ... [2025-12-04 09:30:17.175148][4965399.671331925], took 0.10min
2025-12-04T09:30:17.1768830Z Parsing testcases for test report: /var/lib/jenkins/pytorch/test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-2a683b2ad952299a.xml
2025-12-04T09:30:17.1777950Z Failed to parse and upload json test reports: Unable to locate credentials
2025-12-04T09:30:17.1784545Z Running dynamo/test_einops 1/1 ... [2025-12-04 09:30:17.178202][4965399.674389705]
2025-12-04T09:30:17.1785256Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-12-04T09:30:17.1789376Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_einops.py', '--shard-id=1', '--num-shards=1', '-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 09:30:17.178651]
2025-12-04T09:30:18.9677797Z 
2025-12-04T09:30:18.9680113Z dynamo/test_einops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_einops_1.1_0b09412a84f443ab_.log
2025-12-04T09:30:18.9681429Z Running 0 items in this shard:
2025-12-04T09:30:18.9681729Z 
2025-12-04T09:30:18.9682162Z Finished dynamo/test_einops 1/1 ... [2025-12-04 09:30:18.967474][4965401.463659603], took 0.03min
2025-12-04T09:30:18.9691759Z Parsing testcases for test report: /var/lib/jenkins/pytorch/test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-2a683b2ad952299a.xml
2025-12-04T09:30:18.9701624Z Failed to parse and upload json test reports: Unable to locate credentials
2025-12-04T09:30:18.9707619Z Running inductor/test_external_callables 1/1 ... [2025-12-04 09:30:18.970598][4965401.466785242]
2025-12-04T09:30:18.9708566Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-12-04T09:30:18.9713511Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_external_callables.py', '--shard-id=1', '--num-shards=1', '-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 09:30:18.971055]
2025-12-04T09:30:21.0455358Z 
2025-12-04T09:30:21.0457087Z inductor/test_external_callables 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_external_callables_1.1_3a657f0409592193_.log
2025-12-04T09:30:21.0459626Z Running 0 items in this shard:
2025-12-04T09:30:21.0459922Z 
2025-12-04T09:30:21.0460458Z Finished inductor/test_external_callables 1/1 ... [2025-12-04 09:30:21.045227][4965403.541415491], took 0.03min
2025-12-04T09:30:21.0465990Z Parsing testcases for test report: /var/lib/jenkins/pytorch/test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-2a683b2ad952299a.xml
2025-12-04T09:30:21.0475482Z Failed to parse and upload json test reports: Unable to locate credentials
2025-12-04T09:30:21.0481499Z Running dynamo/test_fx_passes_pre_grad 1/1 ... [2025-12-04 09:30:21.047993][4965403.544179926]
2025-12-04T09:30:21.0482283Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-12-04T09:30:21.0486779Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_fx_passes_pre_grad.py', '--shard-id=1', '--num-shards=1', '-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 09:30:21.048421]
2025-12-04T09:30:22.8257526Z 
2025-12-04T09:30:22.8259194Z dynamo/test_fx_passes_pre_grad 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_fx_passes_pre_grad_1.1_58d731507502b23d_.log
2025-12-04T09:30:22.8260548Z Running 0 items in this shard:
2025-12-04T09:30:22.8260835Z 
2025-12-04T09:30:22.8261337Z Finished dynamo/test_fx_passes_pre_grad 1/1 ... [2025-12-04 09:30:22.825452][4965405.321637177], took 0.03min
2025-12-04T09:30:22.8272164Z Parsing testcases for test report: /var/lib/jenkins/pytorch/test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-2a683b2ad952299a.xml
2025-12-04T09:30:22.8281322Z Failed to parse and upload json test reports: Unable to locate credentials
2025-12-04T09:30:22.8287168Z Running inductor/test_fp8 1/1 ... [2025-12-04 09:30:22.828567][4965405.324755346]
2025-12-04T09:30:22.8287873Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-12-04T09:30:22.8292945Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_fp8.py', '--shard-id=1', '--num-shards=1', '-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 09:30:22.829017]
2025-12-04T09:30:28.4924154Z 
2025-12-04T09:30:28.4925573Z inductor/test_fp8 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_fp8_1.1_1a72cffd0c17a5d8_.log
2025-12-04T09:30:28.4926802Z Running 0 items in this shard:
2025-12-04T09:30:28.4927099Z 
2025-12-04T09:30:28.4927523Z Finished inductor/test_fp8 1/1 ... [2025-12-04 09:30:28.492076][4965410.98826134], took 0.09min
2025-12-04T09:30:28.4938318Z Parsing testcases for test report: /var/lib/jenkins/pytorch/test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-2a683b2ad952299a.xml
2025-12-04T09:30:28.4947870Z Failed to parse and upload json test reports: Unable to locate credentials
2025-12-04T09:30:28.4953678Z Running inductor/test_flex_flash 1/1 ... [2025-12-04 09:30:28.495211][4965410.991399109]
2025-12-04T09:30:28.4954433Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-12-04T09:30:28.4959213Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_flex_flash.py', '--shard-id=1', '--num-shards=1', '-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 09:30:28.495657]
2025-12-04T09:30:31.3716597Z 
2025-12-04T09:30:31.3718361Z inductor/test_flex_flash 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_flex_flash_1.1_fc460e9eea92d254_.log
2025-12-04T09:30:31.3719696Z Running 0 items in this shard:
2025-12-04T09:30:31.3719988Z 
2025-12-04T09:30:31.3720454Z Finished inductor/test_flex_flash 1/1 ... [2025-12-04 09:30:31.371264][4965413.867449146], took 0.05min
2025-12-04T09:30:31.3731800Z Parsing testcases for test report: /var/lib/jenkins/pytorch/test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-2a683b2ad952299a.xml
2025-12-04T09:30:31.3743185Z Failed to parse and upload json test reports: Unable to locate credentials
2025-12-04T09:30:31.3747326Z Running dynamo/test_model_output 1/1 ... [2025-12-04 09:30:31.374499][4965413.870686453]
2025-12-04T09:30:31.3748123Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-12-04T09:30:31.3753139Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_model_output.py', '--shard-id=1', '--num-shards=1', '-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 09:30:31.374957]
2025-12-04T09:30:33.8646967Z 
2025-12-04T09:30:33.8648568Z dynamo/test_model_output 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_model_output_1.1_c0596acb9dccf958_.log
2025-12-04T09:30:33.8676866Z Running 50 items in this shard: test/dynamo/test_model_output.py::TestHFPretrained::test_pretrained_non_const_attr, test/dynamo/test_model_output.py::TestHFPretrained::test_pretrained_non_const_attr, test/dynamo/test_model_output.py::TestHFPretrained::test_pretrained_non_const_attr, test/dynamo/test_model_output.py::TestHFPretrained::test_pretrained_non_const_attr, test/dynamo/test_model_output.py::TestHFPretrained::test_pretrained_non_const_attr, test/dynamo/test_model_output.py::TestHFPretrained::test_pretrained_non_const_attr, test/dynamo/test_model_output.py::TestHFPretrained::test_pretrained_non_const_attr, test/dynamo/test_model_output.py::TestHFPretrained::test_pretrained_non_const_attr, test/dynamo/test_model_output.py::TestHFPretrained::test_pretrained_non_const_attr, test/dynamo/test_model_output.py::TestHFPretrained::test_pretrained_non_const_attr, test/dynamo/test_model_output.py::TestHFPretrained::test_pretrained_non_const_attr, test/dynamo/test_model_output.py::TestHFPretrained::test_pretrained_non_const_attr, test/dynamo/test_model_output.py::TestHFPretrained::test_pretrained_non_const_attr, test/dynamo/test_model_output.py::TestHFPretrained::test_pretrained_non_const_attr, test/dynamo/test_model_output.py::TestHFPretrained::test_pretrained_non_const_attr, test/dynamo/test_model_output.py::TestHFPretrained::test_pretrained_non_const_attr, test/dynamo/test_model_output.py::TestHFPretrained::test_pretrained_non_const_attr, test/dynamo/test_model_output.py::TestHFPretrained::test_pretrained_non_const_attr, test/dynamo/test_model_output.py::TestHFPretrained::test_pretrained_non_const_attr, test/dynamo/test_model_output.py::TestHFPretrained::test_pretrained_non_const_attr, test/dynamo/test_model_output.py::TestHFPretrained::test_pretrained_non_const_attr, test/dynamo/test_model_output.py::TestHFPretrained::test_pretrained_non_const_attr, test/dynamo/test_model_output.py::TestHFPretrained::test_pretrained_non_const_attr, test/dynamo/test_model_output.py::TestHFPretrained::test_pretrained_non_const_attr, test/dynamo/test_model_output.py::TestHFPretrained::test_pretrained_non_const_attr, test/dynamo/test_model_output.py::TestHFPretrained::test_pretrained_non_const_attr, test/dynamo/test_model_output.py::TestHFPretrained::test_pretrained_non_const_attr, test/dynamo/test_model_output.py::TestHFPretrained::test_pretrained_non_const_attr, test/dynamo/test_model_output.py::TestHFPretrained::test_pretrained_non_const_attr, test/dynamo/test_model_output.py::TestHFPretrained::test_pretrained_non_const_attr, test/dynamo/test_model_output.py::TestHFPretrained::test_pretrained_non_const_attr, test/dynamo/test_model_output.py::TestHFPretrained::test_pretrained_non_const_attr, test/dynamo/test_model_output.py::TestHFPretrained::test_pretrained_non_const_attr, test/dynamo/test_model_output.py::TestHFPretrained::test_pretrained_non_const_attr, test/dynamo/test_model_output.py::TestHFPretrained::test_pretrained_non_const_attr, test/dynamo/test_model_output.py::TestHFPretrained::test_pretrained_non_const_attr, test/dynamo/test_model_output.py::TestHFPretrained::test_pretrained_non_const_attr, test/dynamo/test_model_output.py::TestHFPretrained::test_pretrained_non_const_attr, test/dynamo/test_model_output.py::TestHFPretrained::test_pretrained_non_const_attr, test/dynamo/test_model_output.py::TestHFPretrained::test_pretrained_non_const_attr, test/dynamo/test_model_output.py::TestHFPretrained::test_pretrained_non_const_attr, test/dynamo/test_model_output.py::TestHFPretrained::test_pretrained_non_const_attr, test/dynamo/test_model_output.py::TestHFPretrained::test_pretrained_non_const_attr, test/dynamo/test_model_output.py::TestHFPretrained::test_pretrained_non_const_attr, test/dynamo/test_model_output.py::TestHFPretrained::test_pretrained_non_const_attr, test/dynamo/test_model_output.py::TestHFPretrained::test_pretrained_non_const_attr, test/dynamo/test_model_output.py::TestHFPretrained::test_pretrained_non_const_attr, test/dynamo/test_model_output.py::TestHFPretrained::test_pretrained_non_const_attr, test/dynamo/test_model_output.py::TestHFPretrained::test_pretrained_non_const_attr, test/dynamo/test_model_output.py::TestHFPretrained::test_pretrained_non_const_attr
2025-12-04T09:30:33.8704385Z 
2025-12-04T09:30:33.8704869Z Finished dynamo/test_model_output 1/1 ... [2025-12-04 09:30:33.864361][4965416.360545263], took 0.04min
2025-12-04T09:30:33.8706611Z Parsing testcases for test report: /var/lib/jenkins/pytorch/test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-2a683b2ad952299a.xml
2025-12-04T09:30:33.8708207Z Failed to parse and upload json test reports: Unable to locate credentials
2025-12-04T09:30:33.8709102Z Running inductor/test_metrics 1/1 ... [2025-12-04 09:30:33.867583][4965416.363770331]
2025-12-04T09:30:33.8709936Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-12-04T09:30:33.8711806Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_metrics.py', '--shard-id=1', '--num-shards=1', '-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 09:30:33.868047]
2025-12-04T09:30:39.6674975Z 
2025-12-04T09:30:39.6676499Z inductor/test_metrics 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_metrics_1.1_b590031335ca1b48_.log
2025-12-04T09:30:39.6677744Z Running 0 items in this shard:
2025-12-04T09:30:39.6678040Z 
2025-12-04T09:30:39.6678735Z Finished inductor/test_metrics 1/1 ... [2025-12-04 09:30:39.667165][4965422.163350644], took 0.10min
2025-12-04T09:30:39.6691474Z Parsing testcases for test report: /var/lib/jenkins/pytorch/test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-2a683b2ad952299a.xml
2025-12-04T09:30:39.6702113Z Failed to parse and upload json test reports: Unable to locate credentials
2025-12-04T09:30:39.6706498Z Running export/test_unflatten_training_ir 1/1 ... [2025-12-04 09:30:39.670386][4965422.166574272]
2025-12-04T09:30:39.6707325Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-12-04T09:30:39.6711331Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_unflatten_training_ir.py', '--shard-id=1', '--num-shards=1', '-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 09:30:39.670831]
2025-12-04T09:30:41.4671722Z 
2025-12-04T09:30:41.4673330Z export/test_unflatten_training_ir 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_unflatten_training_ir_1.1_7a56445c35b9a720_.log
2025-12-04T09:30:41.4674775Z Running 0 items in this shard:
2025-12-04T09:30:41.4675073Z 
2025-12-04T09:30:41.4675616Z Finished export/test_unflatten_training_ir 1/1 ... [2025-12-04 09:30:41.466871][4965423.963056719], took 0.03min
2025-12-04T09:30:41.4688743Z Parsing testcases for test report: /var/lib/jenkins/pytorch/test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-2a683b2ad952299a.xml
2025-12-04T09:30:41.4696934Z Failed to parse and upload json test reports: Unable to locate credentials
2025-12-04T09:30:41.4702992Z Running inductor/test_triton_kernels 1/1 ... [2025-12-04 09:30:41.470130][4965423.966317706]
2025-12-04T09:30:41.4703786Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-12-04T09:30:41.4708507Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_triton_kernels.py', '--shard-id=1', '--num-shards=1', '-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 09:30:41.470572]
2025-12-04T09:30:51.7581612Z 
2025-12-04T09:30:51.7582945Z PRINTING LOG FILE of inductor/test_triton_kernels 1/1 (test/test-reports/inductor.test_triton_kernels_1.1_54898618a26786c7_.log)
2025-12-04T09:30:51.7584810Z Test results will be stored in test-reports/python-pytest/inductor.test_triton_kernels/inductor.test_triton_kernels-abaa3cf84596ff01.xml
2025-12-04T09:30:51.7585992Z ============================= test session starts ==============================
2025-12-04T09:30:51.7586909Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python
2025-12-04T09:30:51.7587670Z cachedir: .pytest_cache
2025-12-04T09:30:51.7588801Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow]
2025-12-04T09:30:51.7589788Z rootdir: /var/lib/jenkins/pytorch
2025-12-04T09:30:51.7590209Z configfile: pytest.ini
2025-12-04T09:30:51.7591110Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, typeguard-4.3.0
2025-12-04T09:30:51.7593013Z collecting ... collected 366 items
2025-12-04T09:30:51.7593532Z stepcurrent: Cannot find last run test, not skipping
2025-12-04T09:30:51.7617181Z Running 50 items in this shard: test/inductor/test_triton_kernels.py::CustomOpTests::test_subclass, test/inductor/test_triton_kernels.py::CustomOpTests::test_subclass, test/inductor/test_triton_kernels.py::CustomOpTests::test_subclass, test/inductor/test_triton_kernels.py::CustomOpTests::test_subclass, test/inductor/test_triton_kernels.py::CustomOpTests::test_subclass, test/inductor/test_triton_kernels.py::CustomOpTests::test_subclass, test/inductor/test_triton_kernels.py::CustomOpTests::test_subclass, test/inductor/test_triton_kernels.py::CustomOpTests::test_subclass, test/inductor/test_triton_kernels.py::CustomOpTests::test_subclass, test/inductor/test_triton_kernels.py::CustomOpTests::test_subclass, test/inductor/test_triton_kernels.py::CustomOpTests::test_subclass, test/inductor/test_triton_kernels.py::CustomOpTests::test_subclass, test/inductor/test_triton_kernels.py::CustomOpTests::test_subclass, test/inductor/test_triton_kernels.py::CustomOpTests::test_subclass, test/inductor/test_triton_kernels.py::CustomOpTests::test_subclass, test/inductor/test_triton_kernels.py::CustomOpTests::test_subclass, test/inductor/test_triton_kernels.py::CustomOpTests::test_subclass, test/inductor/test_triton_kernels.py::CustomOpTests::test_subclass, test/inductor/test_triton_kernels.py::CustomOpTests::test_subclass, test/inductor/test_triton_kernels.py::CustomOpTests::test_subclass, test/inductor/test_triton_kernels.py::CustomOpTests::test_subclass, test/inductor/test_triton_kernels.py::CustomOpTests::test_subclass, test/inductor/test_triton_kernels.py::CustomOpTests::test_subclass, test/inductor/test_triton_kernels.py::CustomOpTests::test_subclass, test/inductor/test_triton_kernels.py::CustomOpTests::test_subclass, test/inductor/test_triton_kernels.py::CustomOpTests::test_subclass, test/inductor/test_triton_kernels.py::CustomOpTests::test_subclass, test/inductor/test_triton_kernels.py::CustomOpTests::test_subclass, test/inductor/test_triton_kernels.py::CustomOpTests::test_subclass, test/inductor/test_triton_kernels.py::CustomOpTests::test_subclass, test/inductor/test_triton_kernels.py::CustomOpTests::test_subclass, test/inductor/test_triton_kernels.py::CustomOpTests::test_subclass, test/inductor/test_triton_kernels.py::CustomOpTests::test_subclass, test/inductor/test_triton_kernels.py::CustomOpTests::test_subclass, test/inductor/test_triton_kernels.py::CustomOpTests::test_subclass, test/inductor/test_triton_kernels.py::CustomOpTests::test_subclass, test/inductor/test_triton_kernels.py::CustomOpTests::test_subclass, test/inductor/test_triton_kernels.py::CustomOpTests::test_subclass, test/inductor/test_triton_kernels.py::CustomOpTests::test_subclass, test/inductor/test_triton_kernels.py::CustomOpTests::test_subclass, test/inductor/test_triton_kernels.py::CustomOpTests::test_subclass, test/inductor/test_triton_kernels.py::CustomOpTests::test_subclass, test/inductor/test_triton_kernels.py::CustomOpTests::test_subclass, test/inductor/test_triton_kernels.py::CustomOpTests::test_subclass, test/inductor/test_triton_kernels.py::CustomOpTests::test_subclass, test/inductor/test_triton_kernels.py::CustomOpTests::test_subclass, test/inductor/test_triton_kernels.py::CustomOpTests::test_subclass, test/inductor/test_triton_kernels.py::CustomOpTests::test_subclass, test/inductor/test_triton_kernels.py::CustomOpTests::test_subclass, test/inductor/test_triton_kernels.py::CustomOpTests::test_subclass
2025-12-04T09:30:51.7640240Z 
2025-12-04T09:30:51.7640660Z inductor/test_triton_kernels.py::CustomOpTests::test_subclass PASSED [1.0063s] [  2%]
2025-12-04T09:30:51.7641640Z inductor/test_triton_kernels.py::CustomOpTests::test_subclass FAILED [0.1815s] [  2%]
2025-12-04T09:30:51.7642597Z inductor/test_triton_kernels.py::CustomOpTests::test_subclass PASSED [0.0586s] [  2%]
2025-12-04T09:30:51.7643553Z inductor/test_triton_kernels.py::CustomOpTests::test_subclass PASSED [0.0593s] [  2%]
2025-12-04T09:30:51.7644627Z inductor/test_triton_kernels.py::CustomOpTests::test_subclass PASSED [0.0562s] [  2%]
2025-12-04T09:30:51.7645592Z inductor/test_triton_kernels.py::CustomOpTests::test_subclass PASSED [0.0508s] [  2%]
2025-12-04T09:30:51.7646557Z inductor/test_triton_kernels.py::CustomOpTests::test_subclass PASSED [0.0511s] [  2%]
2025-12-04T09:30:51.7647524Z inductor/test_triton_kernels.py::CustomOpTests::test_subclass PASSED [0.0516s] [  2%]
2025-12-04T09:30:51.7648533Z inductor/test_triton_kernels.py::CustomOpTests::test_subclass PASSED [0.0514s] [  2%]
2025-12-04T09:30:51.7649490Z inductor/test_triton_kernels.py::CustomOpTests::test_subclass PASSED [0.0517s] [  2%]
2025-12-04T09:30:51.7650446Z inductor/test_triton_kernels.py::CustomOpTests::test_subclass PASSED [0.0519s] [  2%]
2025-12-04T09:30:51.7651403Z inductor/test_triton_kernels.py::CustomOpTests::test_subclass PASSED [0.0520s] [  2%]
2025-12-04T09:30:51.7652362Z inductor/test_triton_kernels.py::CustomOpTests::test_subclass PASSED [0.0527s] [  2%]
2025-12-04T09:30:51.7653346Z inductor/test_triton_kernels.py::CustomOpTests::test_subclass PASSED [0.0520s] [  2%]
2025-12-04T09:30:51.7654318Z inductor/test_triton_kernels.py::CustomOpTests::test_subclass PASSED [0.0517s] [  2%]
2025-12-04T09:30:51.7655288Z inductor/test_triton_kernels.py::CustomOpTests::test_subclass PASSED [0.0513s] [  2%]
2025-12-04T09:30:51.7656252Z inductor/test_triton_kernels.py::CustomOpTests::test_subclass PASSED [0.0512s] [  2%]
2025-12-04T09:30:51.7657216Z inductor/test_triton_kernels.py::CustomOpTests::test_subclass PASSED [0.0516s] [  2%]
2025-12-04T09:30:51.7658227Z inductor/test_triton_kernels.py::CustomOpTests::test_subclass PASSED [0.0508s] [  2%]
2025-12-04T09:30:51.7662663Z inductor/test_triton_kernels.py::CustomOpTests::test_subclass PASSED [0.0518s] [  2%]
2025-12-04T09:30:51.7663621Z inductor/test_triton_kernels.py::CustomOpTests::test_subclass PASSED [0.0522s] [  2%]
2025-12-04T09:30:51.7664576Z inductor/test_triton_kernels.py::CustomOpTests::test_subclass PASSED [0.0525s] [  2%]
2025-12-04T09:30:51.7665541Z inductor/test_triton_kernels.py::CustomOpTests::test_subclass PASSED [0.2422s] [  2%]
2025-12-04T09:30:51.7666497Z inductor/test_triton_kernels.py::CustomOpTests::test_subclass PASSED [0.0547s] [  2%]
2025-12-04T09:30:51.7667586Z inductor/test_triton_kernels.py::CustomOpTests::test_subclass PASSED [0.0523s] [  2%]
2025-12-04T09:30:51.7668625Z inductor/test_triton_kernels.py::CustomOpTests::test_subclass PASSED [0.0518s] [  2%]
2025-12-04T09:30:51.7669586Z inductor/test_triton_kernels.py::CustomOpTests::test_subclass PASSED [0.0516s] [  2%]
2025-12-04T09:30:51.7670549Z inductor/test_triton_kernels.py::CustomOpTests::test_subclass PASSED [0.0580s] [  2%]
2025-12-04T09:30:51.7671735Z inductor/test_triton_kernels.py::CustomOpTests::test_subclass PASSED [0.0532s] [  2%]
2025-12-04T09:30:51.7672714Z inductor/test_triton_kernels.py::CustomOpTests::test_subclass PASSED [0.0520s] [  2%]
2025-12-04T09:30:51.7673678Z inductor/test_triton_kernels.py::CustomOpTests::test_subclass PASSED [0.0520s] [  2%]
2025-12-04T09:30:51.7674650Z inductor/test_triton_kernels.py::CustomOpTests::test_subclass PASSED [0.0521s] [  2%]
2025-12-04T09:30:51.7675612Z inductor/test_triton_kernels.py::CustomOpTests::test_subclass PASSED [0.0520s] [  2%]
2025-12-04T09:30:51.7676600Z inductor/test_triton_kernels.py::CustomOpTests::test_subclass PASSED [0.0524s] [  2%]
2025-12-04T09:30:51.7677561Z inductor/test_triton_kernels.py::CustomOpTests::test_subclass PASSED [0.0522s] [  2%]
2025-12-04T09:30:51.7678567Z inductor/test_triton_kernels.py::CustomOpTests::test_subclass PASSED [0.0520s] [  2%]
2025-12-04T09:30:51.7679528Z inductor/test_triton_kernels.py::CustomOpTests::test_subclass PASSED [0.0524s] [  2%]
2025-12-04T09:30:51.7680485Z inductor/test_triton_kernels.py::CustomOpTests::test_subclass PASSED [0.0520s] [  2%]
2025-12-04T09:30:51.7681550Z inductor/test_triton_kernels.py::CustomOpTests::test_subclass PASSED [0.0521s] [  2%]
2025-12-04T09:30:51.7682512Z inductor/test_triton_kernels.py::CustomOpTests::test_subclass PASSED [0.0518s] [  2%]
2025-12-04T09:30:51.7683599Z inductor/test_triton_kernels.py::CustomOpTests::test_subclass PASSED [0.0515s] [  2%]
2025-12-04T09:30:51.7684566Z inductor/test_triton_kernels.py::CustomOpTests::test_subclass PASSED [0.0516s] [  2%]
2025-12-04T09:30:51.7685536Z inductor/test_triton_kernels.py::CustomOpTests::test_subclass PASSED [0.0517s] [  2%]
2025-12-04T09:30:51.7686498Z inductor/test_triton_kernels.py::CustomOpTests::test_subclass PASSED [0.0513s] [  2%]
2025-12-04T09:30:51.7687460Z inductor/test_triton_kernels.py::CustomOpTests::test_subclass PASSED [0.0512s] [  2%]
2025-12-04T09:30:51.7688471Z inductor/test_triton_kernels.py::CustomOpTests::test_subclass PASSED [0.0513s] [  2%]
2025-12-04T09:30:51.7689430Z inductor/test_triton_kernels.py::CustomOpTests::test_subclass PASSED [0.0575s] [  2%]
2025-12-04T09:30:51.7690393Z inductor/test_triton_kernels.py::CustomOpTests::test_subclass PASSED [0.0526s] [  2%]
2025-12-04T09:30:51.7691406Z inductor/test_triton_kernels.py::CustomOpTests::test_subclass PASSED [0.0520s] [  2%]
2025-12-04T09:30:51.7692379Z inductor/test_triton_kernels.py::CustomOpTests::test_subclass PASSED [0.0519s] [  2%]
2025-12-04T09:30:51.7692956Z 
2025-12-04T09:30:51.7693159Z =================================== FAILURES ===================================
2025-12-04T09:30:51.7693821Z _________________________ CustomOpTests.test_subclass __________________________
2025-12-04T09:30:51.7694437Z Traceback (most recent call last):
2025-12-04T09:30:51.7695271Z   File "/var/lib/jenkins/pytorch/test/inductor/test_triton_kernels.py", line 3723, in test_subclass
2025-12-04T09:30:51.7696137Z     self.assertEqual(out.a, expected.a)
2025-12-04T09:30:51.7697072Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual
2025-12-04T09:30:51.7698050Z     return super().assertEqual(x, y, *args, **kwargs)
2025-12-04T09:30:51.7699192Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T09:30:51.7700321Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T09:30:51.7701005Z AssertionError: Tensor-likes are not close!
2025-12-04T09:30:51.7701358Z 
2025-12-04T09:30:51.7701620Z Mismatched elements: 3 / 3 (100.0%)
2025-12-04T09:30:51.7702315Z Greatest absolute difference: 3.6203970909118652 at index (0,) (up to 1e-05 allowed)
2025-12-04T09:30:51.7703284Z Greatest relative difference: 2.2396645545959473 at index (0,) (up to 1.3e-06 allowed)
2025-12-04T09:30:51.7703857Z 
2025-12-04T09:30:51.7704137Z To execute this test, run the following from the base repo dir:
2025-12-04T09:30:51.7705071Z     PYTORCH_TEST_WITH_ROCM=1 python test/inductor/test_triton_kernels.py CustomOpTests.test_subclass
2025-12-04T09:30:51.7705738Z 
2025-12-04T09:30:51.7706081Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T09:30:51.7706874Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:30:51.7707531Z stats [('calls_captured', 1), ('unique_graphs', 1)]
2025-12-04T09:30:51.7708049Z inductor [('fxgraph_cache_miss', 1)]
2025-12-04T09:30:51.7708803Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('autograd_cache_saved', 1), ('ok', 1)]
2025-12-04T09:30:51.7709516Z graph_break []
2025-12-04T09:30:51.7709969Z ----------------------------- Captured stdout call -----------------------------
2025-12-04T09:30:51.7710608Z stats [('calls_captured', 1), ('unique_graphs', 1)]
2025-12-04T09:30:51.7711375Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('autograd_cache_saved', 1), ('ok', 1)]
2025-12-04T09:30:51.7712104Z inductor [('fxgraph_cache_miss', 1)]
2025-12-04T09:30:51.7712525Z graph_break []
2025-12-04T09:30:51.7713782Z - generated xml file: /var/lib/jenkins/pytorch/test/test-reports/python-pytest/inductor.test_triton_kernels/inductor.test_triton_kernels-abaa3cf84596ff01.xml -
2025-12-04T09:30:51.7715172Z =========================== short test summary info ============================
2025-12-04T09:30:51.7716337Z FAILED [0.1815s] inductor/test_triton_kernels.py::CustomOpTests::test_subclass - AssertionError: Tensor-likes are not close!
2025-12-04T09:30:51.7717181Z 
2025-12-04T09:30:51.7717333Z Mismatched elements: 3 / 3 (100.0%)
2025-12-04T09:30:51.7732247Z Greatest absolute difference: 3.6203970909118652 at index (0,) (up to 1e-05 allowed)
2025-12-04T09:30:51.7733262Z Greatest relative difference: 2.2396645545959473 at index (0,) (up to 1.3e-06 allowed)
2025-12-04T09:30:51.7733857Z 
2025-12-04T09:30:51.7734143Z To execute this test, run the following from the base repo dir:
2025-12-04T09:30:51.7735093Z     PYTORCH_TEST_WITH_ROCM=1 python test/inductor/test_triton_kernels.py CustomOpTests.test_subclass
2025-12-04T09:30:51.7735775Z 
2025-12-04T09:30:51.7736116Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T09:30:51.7736861Z ========================= 1 failed, 49 passed in 4.29s =========================
2025-12-04T09:30:51.7737268Z 
2025-12-04T09:30:51.7738052Z FINISHED PRINTING LOG FILE of inductor/test_triton_kernels 1/1 (test/test-reports/inductor.test_triton_kernels_1.1_54898618a26786c7_.log)
2025-12-04T09:30:51.7739087Z 
2025-12-04T09:30:51.7739585Z Finished inductor/test_triton_kernels 1/1 ... [2025-12-04 09:30:51.757855][4965434.254039999], took 0.17min
2025-12-04T09:30:51.7741301Z Parsing testcases for test report: /var/lib/jenkins/pytorch/test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-2a683b2ad952299a.xml
2025-12-04T09:30:51.7742837Z Failed to parse and upload json test reports: Unable to locate credentials
2025-12-04T09:30:51.7743716Z GITHUB_RUN_ID, GITHUB_RUN_ATTEMPT, or ARTIFACTS_FILE_SUFFIX not set, not uploading
2025-12-04T09:30:51.7744430Z Uploading artifacts took 0.00 seconds
2025-12-04T09:30:51.7744906Z inductor/test_triton_kernels 1/1 failed!
2025-12-04T09:30:51.7745589Z Running dynamo/test_modules 1/1 ... [2025-12-04 09:30:51.761378][4965434.257564891]
2025-12-04T09:30:51.7746301Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-12-04T09:30:51.7748387Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_modules.py', '--shard-id=1', '--num-shards=1', '-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 09:30:51.761854]
2025-12-04T09:30:57.3834004Z 
2025-12-04T09:30:57.3835493Z dynamo/test_modules 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_modules_1.1_d03d7c5a97217984_.log
2025-12-04T09:30:57.3836709Z Running 0 items in this shard:
2025-12-04T09:30:57.3836995Z 
2025-12-04T09:30:57.3837443Z Finished dynamo/test_modules 1/1 ... [2025-12-04 09:30:57.383030][4965439.879215441], took 0.09min
2025-12-04T09:30:57.3850560Z Parsing testcases for test report: /var/lib/jenkins/pytorch/test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-2a683b2ad952299a.xml
2025-12-04T09:30:57.3861597Z Failed to parse and upload json test reports: Unable to locate credentials
2025-12-04T09:30:57.3866026Z Running inductor/test_cudacodecache 1/1 ... [2025-12-04 09:30:57.386344][4965439.882532597]
2025-12-04T09:30:57.3866837Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-12-04T09:30:57.3870724Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_cudacodecache.py', '--shard-id=1', '--num-shards=1', '-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 09:30:57.386789]
2025-12-04T09:31:02.7144978Z 
2025-12-04T09:31:02.7146589Z inductor/test_cudacodecache 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cudacodecache_1.1_306680a2ed75cda6_.log
2025-12-04T09:31:02.7147759Z 
2025-12-04T09:31:02.7148472Z Finished inductor/test_cudacodecache 1/1 ... [2025-12-04 09:31:02.714096][4965445.210280881], took 0.09min
2025-12-04T09:31:02.7162154Z Parsing testcases for test report: /var/lib/jenkins/pytorch/test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-2a683b2ad952299a.xml
2025-12-04T09:31:02.7171957Z Failed to parse and upload json test reports: Unable to locate credentials
2025-12-04T09:31:02.7176970Z Running dynamo/test_fx_graph_runnable 1/1 ... [2025-12-04 09:31:02.717398][4965445.213586217]
2025-12-04T09:31:02.7177771Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-12-04T09:31:02.7181663Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_fx_graph_runnable.py', '--shard-id=1', '--num-shards=1', '-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 09:31:02.717844]
2025-12-04T10:17:05.8485820Z 
2025-12-04T10:17:05.8487458Z dynamo/test_fx_graph_runnable 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_fx_graph_runnable_1.1_931a1de3a1fd05c9_.log
2025-12-04T10:17:05.8684326Z Running 350 items in this shard: test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_basic_tensor_add, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_broadcast_add_dynamic, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_broadcast_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_dynamic_expression, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_dynamic_shapes_run, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, 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test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_dynamic_shapes_run, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_dynamic_shapes_run, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing
2025-12-04T10:17:05.8808614Z 
2025-12-04T10:17:05.8808931Z Finished dynamo/test_fx_graph_runnable 1/1 ... [2025-12-04 10:17:05.848369][4968208.344558938], took 46.05min
2025-12-04T10:17:05.8810035Z Parsing testcases for test report: /var/lib/jenkins/pytorch/test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-2a683b2ad952299a.xml
2025-12-04T10:17:05.8810999Z Failed to parse and upload json test reports: Unable to locate credentials
2025-12-04T10:17:05.8811565Z GITHUB_RUN_ID, GITHUB_RUN_ATTEMPT, or ARTIFACTS_FILE_SUFFIX not set, not uploading
2025-12-04T10:17:05.8812013Z Uploading artifacts took 0.00 seconds
2025-12-04T10:17:05.8812476Z Running inductor/test_codegen_triton 1/1 ... [2025-12-04 10:17:05.850835][4968208.34702276]
2025-12-04T10:17:05.8812955Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-12-04T10:17:05.8814169Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_codegen_triton.py', '--shard-id=1', '--num-shards=1', '-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 10:17:05.851309]
2025-12-04T10:17:11.6460174Z 
2025-12-04T10:17:11.6461669Z inductor/test_codegen_triton 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_codegen_triton_1.1_292ec5fec9e59f0d_.log
2025-12-04T10:17:11.6462147Z Running 0 items in this shard:
2025-12-04T10:17:11.6462244Z 
2025-12-04T10:17:11.6462405Z Finished inductor/test_codegen_triton 1/1 ... [2025-12-04 10:17:11.643662][4968214.13985126], took 0.10min
2025-12-04T10:17:11.6462928Z Parsing testcases for test report: /var/lib/jenkins/pytorch/test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-2a683b2ad952299a.xml
2025-12-04T10:17:11.6463389Z Failed to parse and upload json test reports: Unable to locate credentials
2025-12-04T10:17:11.6463653Z Running dynamo/test_frame_init 1/1 ... [2025-12-04 10:17:11.645266][4968214.141455415]
2025-12-04T10:17:11.6463872Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-12-04T10:17:11.6464447Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_frame_init.py', '--shard-id=1', '--num-shards=1', '-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 10:17:11.645510]
2025-12-04T10:17:13.5822167Z 
2025-12-04T10:17:13.5822566Z dynamo/test_frame_init 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_frame_init_1.1_bb0fb0456507a486_.log
2025-12-04T10:17:13.5822947Z Running 0 items in this shard:
2025-12-04T10:17:13.5823034Z 
2025-12-04T10:17:13.5823172Z Finished dynamo/test_frame_init 1/1 ... [2025-12-04 10:17:13.581989][4968216.078178699], took 0.03min
2025-12-04T10:17:13.5828608Z Parsing testcases for test report: /var/lib/jenkins/pytorch/test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-2a683b2ad952299a.xml
2025-12-04T10:17:13.5833802Z Failed to parse and upload json test reports: Unable to locate credentials
2025-12-04T10:17:13.5835858Z Running inductor/test_device_assert 1/1 ... [2025-12-04 10:17:13.583515][4968216.079707216]
2025-12-04T10:17:13.5836096Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-12-04T10:17:13.5838410Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_device_assert.py', '--shard-id=1', '--num-shards=1', '-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 10:17:13.583706]
2025-12-04T10:17:19.7249878Z 
2025-12-04T10:17:19.7251305Z inductor/test_device_assert 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_device_assert_1.1_9374b6caaaf3d175_.log
2025-12-04T10:17:19.7252128Z Running 0 items in this shard:
2025-12-04T10:17:19.7252217Z 
2025-12-04T10:17:19.7252364Z Finished inductor/test_device_assert 1/1 ... [2025-12-04 10:17:19.724949][4968222.22113654], took 0.10min
2025-12-04T10:17:19.7258765Z Parsing testcases for test report: /var/lib/jenkins/pytorch/test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-2a683b2ad952299a.xml
2025-12-04T10:17:19.7273626Z Failed to parse and upload json test reports: Unable to locate credentials
2025-12-04T10:17:19.7274204Z Running dynamo/test_skip_non_tensor 1/1 ... [2025-12-04 10:17:19.726605][4968222.222795255]
2025-12-04T10:17:19.7274436Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-12-04T10:17:19.7275014Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_skip_non_tensor.py', '--shard-id=1', '--num-shards=1', '-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 10:17:19.726930]
2025-12-04T10:17:21.7355234Z 
2025-12-04T10:17:21.7356438Z dynamo/test_skip_non_tensor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_skip_non_tensor_1.1_95e8a040665cf34b_.log
2025-12-04T10:17:21.7357753Z Running 0 items in this shard:
2025-12-04T10:17:21.7357938Z 
2025-12-04T10:17:21.7358438Z Finished dynamo/test_skip_non_tensor 1/1 ... [2025-12-04 10:17:21.735178][4968224.231362784], took 0.03min
2025-12-04T10:17:21.7373408Z Parsing testcases for test report: /var/lib/jenkins/pytorch/test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-2a683b2ad952299a.xml
2025-12-04T10:17:21.7383589Z Failed to parse and upload json test reports: Unable to locate credentials
2025-12-04T10:17:21.7390416Z Running dynamo/test_skip_guard_eval_unsafe 1/1 ... [2025-12-04 10:17:21.738788][4968224.234975839]
2025-12-04T10:17:21.7391349Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-12-04T10:17:21.7395629Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_skip_guard_eval_unsafe.py', '--shard-id=1', '--num-shards=1', '-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 10:17:21.739283]
2025-12-04T10:17:23.9482626Z 
2025-12-04T10:17:23.9483829Z dynamo/test_skip_guard_eval_unsafe 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_skip_guard_eval_unsafe_1.1_62a81ddca3208b9b_.log
2025-12-04T10:17:23.9506595Z Running 0 items in this shard:
2025-12-04T10:17:23.9507214Z 
2025-12-04T10:17:23.9507465Z Finished dynamo/test_skip_guard_eval_unsafe 1/1 ... [2025-12-04 10:17:23.948064][4968226.444229441], took 0.04min
2025-12-04T10:17:23.9508198Z Parsing testcases for test report: /var/lib/jenkins/pytorch/test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-2a683b2ad952299a.xml
2025-12-04T10:17:23.9511539Z Failed to parse and upload json test reports: Unable to locate credentials
2025-12-04T10:17:23.9511834Z Running inductor/test_decompose_mem_bound_mm 1/1 ... [2025-12-04 10:17:23.950086][4968226.446275439]
2025-12-04T10:17:23.9512077Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-12-04T10:17:23.9513065Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_decompose_mem_bound_mm.py', '--shard-id=1', '--num-shards=1', '-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 10:17:23.950367]
2025-12-04T10:17:30.3458709Z 
2025-12-04T10:17:30.3459582Z inductor/test_decompose_mem_bound_mm 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_decompose_mem_bound_mm_1.1_613c67de1f34838d_.log
2025-12-04T10:17:30.3524055Z Running 100 items in this shard: test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_True
2025-12-04T10:17:30.3549784Z 
2025-12-04T10:17:30.3549953Z Finished inductor/test_decompose_mem_bound_mm 1/1 ... [2025-12-04 10:17:30.348879][4968232.845064798], took 0.11min
2025-12-04T10:17:30.3550491Z Parsing testcases for test report: /var/lib/jenkins/pytorch/test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-2a683b2ad952299a.xml
2025-12-04T10:17:30.3550968Z Failed to parse and upload json test reports: Unable to locate credentials
2025-12-04T10:17:30.3551245Z Running inductor/test_op_dtype_prop 1/1 ... [2025-12-04 10:17:30.350494][4968232.846684194]
2025-12-04T10:17:30.3551478Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-12-04T10:17:30.3552055Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_op_dtype_prop.py', '--shard-id=1', '--num-shards=1', '-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 10:17:30.350701]
2025-12-04T10:17:38.2066533Z 
2025-12-04T10:17:38.2068033Z inductor/test_op_dtype_prop 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_op_dtype_prop_1.1_c0d915bfc04f58da_.log
2025-12-04T10:17:38.2069406Z Running 0 items in this shard:
2025-12-04T10:17:38.2069642Z 
2025-12-04T10:17:38.2070054Z Finished inductor/test_op_dtype_prop 1/1 ... [2025-12-04 10:17:38.206264][4968240.702449379], took 0.13min
2025-12-04T10:17:38.2086331Z Parsing testcases for test report: /var/lib/jenkins/pytorch/test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-2a683b2ad952299a.xml
2025-12-04T10:17:38.2095451Z Failed to parse and upload json test reports: Unable to locate credentials
2025-12-04T10:17:38.2101008Z Running inductor/test_control_flow 4/4 ... [2025-12-04 10:17:38.209865][4968240.706053084]
2025-12-04T10:17:38.2101784Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-12-04T10:17:38.2106254Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_control_flow.py', '--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 10:17:38.210300]
2025-12-04T10:17:44.7405295Z 
2025-12-04T10:17:44.7406873Z inductor/test_control_flow 4/4 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_control_flow_4.4_b718b58ac9deae21_.log
2025-12-04T10:17:44.7407803Z Running 0 items in this shard:
2025-12-04T10:17:44.7407890Z 
2025-12-04T10:17:44.7408052Z Finished inductor/test_control_flow 4/4 ... [2025-12-04 10:17:44.739395][4968247.235583998], took 0.11min
2025-12-04T10:17:44.7408621Z Parsing testcases for test report: /var/lib/jenkins/pytorch/test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-2a683b2ad952299a.xml
2025-12-04T10:17:44.7410128Z Failed to parse and upload json test reports: Unable to locate credentials
2025-12-04T10:17:44.7411156Z Running dynamo/test_structured_trace 1/1 ... [2025-12-04 10:17:44.740996][4968247.237186463]
2025-12-04T10:17:44.7429234Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-12-04T10:17:44.7431407Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_structured_trace.py', '--shard-id=1', '--num-shards=1', '-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 10:17:44.743005]
2025-12-04T10:17:51.1672619Z 
2025-12-04T10:17:51.1673772Z dynamo/test_structured_trace 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_structured_trace_1.1_9d9aa40bf2f84637_.log
2025-12-04T10:17:51.1674264Z Running 0 items in this shard:
2025-12-04T10:17:51.1674662Z 
2025-12-04T10:17:51.1674845Z Finished dynamo/test_structured_trace 1/1 ... [2025-12-04 10:17:51.166874][4968253.663063602], took 0.11min
2025-12-04T10:17:51.1678871Z Parsing testcases for test report: /var/lib/jenkins/pytorch/test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-2a683b2ad952299a.xml
2025-12-04T10:17:51.1684280Z Failed to parse and upload json test reports: Unable to locate credentials
2025-12-04T10:17:51.1686249Z Running export/test_hop 1/1 ... [2025-12-04 10:17:51.168513][4968253.664705167]
2025-12-04T10:17:51.1686475Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-12-04T10:17:51.1689681Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_hop.py', '--shard-id=1', '--num-shards=1', '-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 10:17:51.168733]
2025-12-04T10:17:54.1988697Z 
2025-12-04T10:17:54.1989841Z export/test_hop 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_hop_1.1_f1b5646d4ee8d25b_.log
2025-12-04T10:17:54.1990565Z Running 0 items in this shard:
2025-12-04T10:17:54.1990749Z 
2025-12-04T10:17:54.1991018Z Finished export/test_hop 1/1 ... [2025-12-04 10:17:54.198457][4968256.694647197], took 0.05min
2025-12-04T10:17:54.2003569Z Parsing testcases for test report: /var/lib/jenkins/pytorch/test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-2a683b2ad952299a.xml
2025-12-04T10:17:54.2014221Z Failed to parse and upload json test reports: Unable to locate credentials
2025-12-04T10:17:54.2018461Z Running export/test_experimental 1/1 ... [2025-12-04 10:17:54.201698][4968256.697886157]
2025-12-04T10:17:54.2018942Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-12-04T10:17:54.2022213Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_experimental.py', '--shard-id=1', '--num-shards=1', '-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 10:17:54.202031]
2025-12-04T10:17:56.4181238Z 
2025-12-04T10:17:56.4191056Z export/test_experimental 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_experimental_1.1_89c962446a8778e9_.log
2025-12-04T10:17:56.4191486Z Running 0 items in this shard:
2025-12-04T10:17:56.4191581Z 
2025-12-04T10:17:56.4191732Z Finished export/test_experimental 1/1 ... [2025-12-04 10:17:56.417897][4968258.914085961], took 0.04min
2025-12-04T10:17:56.4192242Z Parsing testcases for test report: /var/lib/jenkins/pytorch/test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-2a683b2ad952299a.xml
2025-12-04T10:17:56.4193605Z Failed to parse and upload json test reports: Unable to locate credentials
2025-12-04T10:17:56.4268707Z Running export/test_export 1/1 ... [2025-12-04 10:17:56.419520][4968258.915710786]
2025-12-04T10:17:56.4268938Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-12-04T10:17:56.4270456Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_export.py', '--shard-id=1', '--num-shards=1', '-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 10:17:56.419705]
2025-12-04T10:18:02.4545505Z 
2025-12-04T10:18:02.4579869Z export/test_export 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_export_1.1_c91deb2ea100a034_.log
2025-12-04T10:18:02.4580280Z Running 0 items in this shard:
2025-12-04T10:18:02.4580367Z 
2025-12-04T10:18:02.4580501Z Finished export/test_export 1/1 ... [2025-12-04 10:18:02.454286][4968264.950475099], took 0.10min
2025-12-04T10:18:02.4581000Z Parsing testcases for test report: /var/lib/jenkins/pytorch/test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-2a683b2ad952299a.xml
2025-12-04T10:18:02.4582029Z Failed to parse and upload json test reports: Unable to locate credentials
2025-12-04T10:18:02.4582298Z Running dynamo/test_comptime 1/1 ... [2025-12-04 10:18:02.455929][4968264.952121293]
2025-12-04T10:18:02.4582523Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-12-04T10:18:02.4583094Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_comptime.py', '--shard-id=1', '--num-shards=1', '-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 10:18:02.456126]
2025-12-04T10:18:04.6704005Z 
2025-12-04T10:18:04.6769969Z dynamo/test_comptime 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_comptime_1.1_6c7053c5115f52cc_.log
2025-12-04T10:18:04.6770392Z Running 0 items in this shard:
2025-12-04T10:18:04.6770482Z 
2025-12-04T10:18:04.6770625Z Finished dynamo/test_comptime 1/1 ... [2025-12-04 10:18:04.673893][4968267.170059114], took 0.04min
2025-12-04T10:18:04.6771160Z Parsing testcases for test report: /var/lib/jenkins/pytorch/test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-2a683b2ad952299a.xml
2025-12-04T10:18:04.6771629Z Failed to parse and upload json test reports: Unable to locate credentials
2025-12-04T10:18:04.6771881Z Running test_mkl_verbose 1/1 ... [2025-12-04 10:18:04.676115][4968267.17230054]
2025-12-04T10:18:04.6772088Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-12-04T10:18:04.6772644Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_mkl_verbose.py', '--shard-id=1', '--num-shards=1', '-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 10:18:04.676389]
2025-12-04T10:18:06.6670879Z 
2025-12-04T10:18:06.6672185Z test_mkl_verbose 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_mkl_verbose_1.1_baa50ae00a4e9ac5_.log
2025-12-04T10:18:06.6672970Z Running 0 items in this shard:
2025-12-04T10:18:06.6673058Z 
2025-12-04T10:18:06.6673678Z Finished test_mkl_verbose 1/1 ... [2025-12-04 10:18:06.664355][4968269.160542526], took 0.03min
2025-12-04T10:18:06.6674178Z Parsing testcases for test report: /var/lib/jenkins/pytorch/test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-2a683b2ad952299a.xml
2025-12-04T10:18:06.6674645Z Failed to parse and upload json test reports: Unable to locate credentials
2025-12-04T10:18:06.6674908Z Running test_comparison_utils 1/1 ... [2025-12-04 10:18:06.666385][4968269.162576095]
2025-12-04T10:18:06.6675126Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-12-04T10:18:06.6675698Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_comparison_utils.py', '--shard-id=1', '--num-shards=1', '-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 10:18:06.666599]
2025-12-04T10:18:08.5148419Z 
2025-12-04T10:18:08.5149776Z test_comparison_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_comparison_utils_1.1_c42e9e9c39be5ef1_.log
2025-12-04T10:18:08.5150179Z Running 0 items in this shard:
2025-12-04T10:18:08.5150274Z 
2025-12-04T10:18:08.5150410Z Finished test_comparison_utils 1/1 ... [2025-12-04 10:18:08.507252][4968271.003439618], took 0.03min
2025-12-04T10:18:08.5150909Z Parsing testcases for test report: /var/lib/jenkins/pytorch/test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-2a683b2ad952299a.xml
2025-12-04T10:18:08.5151375Z Failed to parse and upload json test reports: Unable to locate credentials
2025-12-04T10:18:08.5151643Z Running functorch/test_ac_logging 1/1 ... [2025-12-04 10:18:08.509286][4968271.005477956]
2025-12-04T10:18:08.5151870Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-12-04T10:18:08.5152924Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_ac_logging.py', '--shard-id=1', '--num-shards=1', '-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 10:18:08.509488]
2025-12-04T10:18:10.6133871Z 
2025-12-04T10:18:10.6135304Z functorch/test_ac_logging 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_ac_logging_1.1_947d676e337c10f1_.log
2025-12-04T10:18:10.6136373Z Running 0 items in this shard:
2025-12-04T10:18:10.6136608Z 
2025-12-04T10:18:10.6137040Z Finished functorch/test_ac_logging 1/1 ... [2025-12-04 10:18:10.613043][4968273.109230038], took 0.04min
2025-12-04T10:18:10.6144500Z Parsing testcases for test report: /var/lib/jenkins/pytorch/test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-2a683b2ad952299a.xml
2025-12-04T10:18:10.6151161Z Failed to parse and upload json test reports: Unable to locate credentials
2025-12-04T10:18:10.6152622Z Running test_mkldnn_verbose 1/1 ... [2025-12-04 10:18:10.615138][4968273.111327286]
2025-12-04T10:18:10.6153330Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-12-04T10:18:10.6156523Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_mkldnn_verbose.py', '--shard-id=1', '--num-shards=1', '-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 10:18:10.615388]
2025-12-04T10:18:12.6507679Z 
2025-12-04T10:18:12.6509328Z test_mkldnn_verbose 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_mkldnn_verbose_1.1_6b14ec24645981d5_.log
2025-12-04T10:18:12.6510505Z Running 0 items in this shard:
2025-12-04T10:18:12.6510801Z 
2025-12-04T10:18:12.6511233Z Finished test_mkldnn_verbose 1/1 ... [2025-12-04 10:18:12.650369][4968275.146550747], took 0.03min
2025-12-04T10:18:12.6532125Z Parsing testcases for test report: /var/lib/jenkins/pytorch/test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-2a683b2ad952299a.xml
2025-12-04T10:18:12.6543890Z Failed to parse and upload json test reports: Unable to locate credentials
2025-12-04T10:18:12.6549600Z Running test_cpp_api_parity 1/1 ... [2025-12-04 10:18:12.654690][4968275.15087746]
2025-12-04T10:18:12.6550330Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-12-04T10:18:12.6554552Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_cpp_api_parity.py', '--shard-id=1', '--num-shards=1', '-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 10:18:12.655178]
2025-12-04T10:18:45.4729344Z 
2025-12-04T10:18:45.4768933Z test_cpp_api_parity 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cpp_api_parity_1.1_c4394277248a3c23_.log
2025-12-04T10:18:45.4769369Z Running 0 items in this shard:
2025-12-04T10:18:45.4769459Z 
2025-12-04T10:18:45.4769590Z Finished test_cpp_api_parity 1/1 ... [2025-12-04 10:18:45.472796][4968307.968981113], took 0.55min
2025-12-04T10:18:45.4770093Z Parsing testcases for test report: /var/lib/jenkins/pytorch/test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-2a683b2ad952299a.xml
2025-12-04T10:18:45.4770551Z Failed to parse and upload json test reports: Unable to locate credentials
2025-12-04T10:18:45.4770835Z Running nn/attention/test_open_registry 1/1 ... [2025-12-04 10:18:45.474940][4968307.971131579]
2025-12-04T10:18:45.4771072Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-12-04T10:18:45.4771673Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'nn/attention/test_open_registry.py', '--shard-id=1', '--num-shards=1', '-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 10:18:45.475147]
2025-12-04T10:18:47.4562978Z 
2025-12-04T10:18:47.4564731Z nn/attention/test_open_registry 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.attention.test_open_registry_1.1_bd2cf34f1b91ffd9_.log
2025-12-04T10:18:47.4566160Z Running 0 items in this shard:
2025-12-04T10:18:47.4566454Z 
2025-12-04T10:18:47.4566986Z Finished nn/attention/test_open_registry 1/1 ... [2025-12-04 10:18:47.455968][4968309.952150622], took 0.03min
2025-12-04T10:18:47.4588879Z Parsing testcases for test report: /var/lib/jenkins/pytorch/test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-2a683b2ad952299a.xml
2025-12-04T10:18:47.4599874Z Failed to parse and upload json test reports: Unable to locate credentials
2025-12-04T10:18:47.4605164Z Running test_as_strided 1/1 ... [2025-12-04 10:18:47.460353][4968309.956540464]
2025-12-04T10:18:47.4605888Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-12-04T10:18:47.4611448Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_as_strided.py', '--shard-id=1', '--num-shards=1', '-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 10:18:47.460842]
2025-12-04T10:18:49.5356955Z 
2025-12-04T10:18:49.5358397Z test_as_strided 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_as_strided_1.1_dee1e91e2751aec2_.log
2025-12-04T10:18:49.5359384Z Running 0 items in this shard:
2025-12-04T10:18:49.5359619Z 
2025-12-04T10:18:49.5359955Z Finished test_as_strided 1/1 ... [2025-12-04 10:18:49.535464][4968312.031651764], took 0.03min
2025-12-04T10:18:49.5366795Z Parsing testcases for test report: /var/lib/jenkins/pytorch/test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-2a683b2ad952299a.xml
2025-12-04T10:18:49.5374579Z Failed to parse and upload json test reports: Unable to locate credentials
2025-12-04T10:18:49.5377207Z Running test_proxy_tensor 1/1 ... [2025-12-04 10:18:49.537635][4968312.033823951]
2025-12-04T10:18:49.5377417Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-12-04T10:18:49.5381411Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_proxy_tensor.py', '--shard-id=1', '--num-shards=1', '-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 10:18:49.537880]
2025-12-04T10:18:52.9049884Z 
2025-12-04T10:18:52.9051399Z test_proxy_tensor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_proxy_tensor_1.1_d64e4e0782fa0d2c_.log
2025-12-04T10:18:52.9052550Z Running 0 items in this shard:
2025-12-04T10:18:52.9052838Z 
2025-12-04T10:18:52.9053294Z Finished test_proxy_tensor 1/1 ... [2025-12-04 10:18:52.904655][4968315.400838247], took 0.06min
2025-12-04T10:18:52.9075640Z Parsing testcases for test report: /var/lib/jenkins/pytorch/test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-2a683b2ad952299a.xml
2025-12-04T10:18:52.9087268Z Failed to parse and upload json test reports: Unable to locate credentials
2025-12-04T10:18:52.9093586Z Running test_matmul_cuda 1/1 ... [2025-12-04 10:18:52.909201][4968315.405387946]
2025-12-04T10:18:52.9094261Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-12-04T10:18:52.9099379Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_matmul_cuda.py', '--shard-id=1', '--num-shards=1', '-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 10:18:52.909673]
2025-12-04T10:19:01.0088244Z 
2025-12-04T10:19:01.0089691Z test_matmul_cuda 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_matmul_cuda_1.1_f14637a5b9646b98_.log
2025-12-04T10:19:01.0090842Z Running 0 items in this shard:
2025-12-04T10:19:01.0091817Z 
2025-12-04T10:19:01.0092226Z Finished test_matmul_cuda 1/1 ... [2025-12-04 10:19:01.008438][4968323.504621909], took 0.13min
2025-12-04T10:19:01.0114827Z Parsing testcases for test report: /var/lib/jenkins/pytorch/test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-2a683b2ad952299a.xml
2025-12-04T10:19:01.0124736Z Failed to parse and upload json test reports: Unable to locate credentials
2025-12-04T10:19:01.0130913Z Running xpu/test_gemm 1/1 ... [2025-12-04 10:19:01.012907][4968323.509094249]
2025-12-04T10:19:01.0131618Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-12-04T10:19:01.0136828Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'xpu/test_gemm.py', '--shard-id=1', '--num-shards=1', '-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 10:19:01.013381]
2025-12-04T10:19:03.3036698Z 
2025-12-04T10:19:03.3037682Z xpu/test_gemm 1/1 was successful, full logs can be found in artifacts with path test/test-reports/xpu.test_gemm_1.1_630c8914c3ed08f3_.log
2025-12-04T10:19:03.3038960Z Running 0 items in this shard:
2025-12-04T10:19:03.3039265Z 
2025-12-04T10:19:03.3039664Z Finished xpu/test_gemm 1/1 ... [2025-12-04 10:19:03.303313][4968325.799499921], took 0.04min
2025-12-04T10:19:03.3047814Z Parsing testcases for test report: /var/lib/jenkins/pytorch/test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-2a683b2ad952299a.xml
2025-12-04T10:19:03.3054696Z Failed to parse and upload json test reports: Unable to locate credentials
2025-12-04T10:19:03.3057028Z Running test_fx_passes 1/1 ... [2025-12-04 10:19:03.305577][4968325.801767316]
2025-12-04T10:19:03.3057675Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-12-04T10:19:03.3060960Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_fx_passes.py', '--shard-id=1', '--num-shards=1', '-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 10:19:03.305825]
2025-12-04T10:19:05.5675582Z 
2025-12-04T10:19:05.5677737Z test_fx_passes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_fx_passes_1.1_251374cc3b69d923_.log
2025-12-04T10:19:05.5678934Z Running 0 items in this shard:
2025-12-04T10:19:05.5679213Z 
2025-12-04T10:19:05.5679606Z Finished test_fx_passes 1/1 ... [2025-12-04 10:19:05.567244][4968328.063426465], took 0.04min
2025-12-04T10:19:05.5702546Z Parsing testcases for test report: /var/lib/jenkins/pytorch/test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-2a683b2ad952299a.xml
2025-12-04T10:19:05.5714759Z Failed to parse and upload json test reports: Unable to locate credentials
2025-12-04T10:19:05.5721131Z Running functorch/test_logging 1/1 ... [2025-12-04 10:19:05.571912][4968328.068098822]
2025-12-04T10:19:05.5721854Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-12-04T10:19:05.5726638Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_logging.py', '--shard-id=1', '--num-shards=1', '-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 10:19:05.572403]
2025-12-04T10:19:07.7220150Z 
2025-12-04T10:19:07.7221339Z functorch/test_logging 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_logging_1.1_de96db04ed9e612a_.log
2025-12-04T10:19:07.7222138Z Running 0 items in this shard:
2025-12-04T10:19:07.7222333Z 
2025-12-04T10:19:07.7222624Z Finished functorch/test_logging 1/1 ... [2025-12-04 10:19:07.721700][4968330.217883473], took 0.04min
2025-12-04T10:19:07.7246594Z Parsing testcases for test report: /var/lib/jenkins/pytorch/test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-2a683b2ad952299a.xml
2025-12-04T10:19:07.7259044Z Failed to parse and upload json test reports: Unable to locate credentials
2025-12-04T10:19:07.7265576Z Running higher_order_ops/test_local_map 1/1 ... [2025-12-04 10:19:07.726390][4968330.22257608]
2025-12-04T10:19:07.7266355Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-12-04T10:19:07.7271704Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'higher_order_ops/test_local_map.py', '--shard-id=1', '--num-shards=1', '-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 10:19:07.726880]
2025-12-04T10:19:09.9181700Z 
2025-12-04T10:19:09.9182585Z higher_order_ops/test_local_map 1/1 was successful, full logs can be found in artifacts with path test/test-reports/higher_order_ops.test_local_map_1.1_ee52509846de92c9_.log
2025-12-04T10:19:09.9183040Z Running 0 items in this shard:
2025-12-04T10:19:09.9183131Z 
2025-12-04T10:19:09.9183286Z Finished higher_order_ops/test_local_map 1/1 ... [2025-12-04 10:19:09.915178][4968332.411364012], took 0.04min
2025-12-04T10:19:09.9183847Z Parsing testcases for test report: /var/lib/jenkins/pytorch/test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-2a683b2ad952299a.xml
2025-12-04T10:19:09.9184319Z Failed to parse and upload json test reports: Unable to locate credentials
2025-12-04T10:19:09.9184568Z Running test_tensorexpr 1/1 ... [2025-12-04 10:19:09.917436][4968332.413625477]
2025-12-04T10:19:09.9184771Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-12-04T10:19:09.9185329Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_tensorexpr.py', '--shard-id=1', '--num-shards=1', '-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 10:19:09.917681]
2025-12-04T10:19:11.8569341Z 
2025-12-04T10:19:11.8570158Z test_tensorexpr 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_tensorexpr_1.1_a38a8b41a5adc244_.log
2025-12-04T10:19:11.8570582Z Running 0 items in this shard:
2025-12-04T10:19:11.8570669Z 
2025-12-04T10:19:11.8570802Z Finished test_tensorexpr 1/1 ... [2025-12-04 10:19:11.856690][4968334.352879121], took 0.03min
2025-12-04T10:19:11.8591379Z Parsing testcases for test report: /var/lib/jenkins/pytorch/test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-2a683b2ad952299a.xml
2025-12-04T10:19:11.8591850Z Failed to parse and upload json test reports: Unable to locate credentials
2025-12-04T10:19:11.8592101Z Running test_jiterator 1/1 ... [2025-12-04 10:19:11.858537][4968334.354726743]
2025-12-04T10:19:11.8592302Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-12-04T10:19:11.8592856Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_jiterator.py', '--shard-id=1', '--num-shards=1', '-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 10:19:11.858764]
2025-12-04T10:19:14.6408660Z 
2025-12-04T10:19:14.6409867Z test_jiterator 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jiterator_1.1_5bd1468a44bbaba7_.log
2025-12-04T10:19:14.6410883Z Running 0 items in this shard:
2025-12-04T10:19:14.6411135Z 
2025-12-04T10:19:14.6411472Z Finished test_jiterator 1/1 ... [2025-12-04 10:19:14.640480][4968337.13666576], took 0.05min
2025-12-04T10:19:14.6434421Z Parsing testcases for test report: /var/lib/jenkins/pytorch/test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-2a683b2ad952299a.xml
2025-12-04T10:19:14.6443318Z Failed to parse and upload json test reports: Unable to locate credentials
2025-12-04T10:19:14.6449403Z Running test_native_functions 1/1 ... [2025-12-04 10:19:14.644739][4968337.140927013]
2025-12-04T10:19:14.6450180Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-12-04T10:19:14.6454525Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_native_functions.py', '--shard-id=1', '--num-shards=1', '-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 10:19:14.645176]
2025-12-04T10:19:16.6482590Z 
2025-12-04T10:19:16.6483492Z test_native_functions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_native_functions_1.1_f86b8eb9adf44cfa_.log
2025-12-04T10:19:16.6484024Z Running 0 items in this shard:
2025-12-04T10:19:16.6484171Z 
2025-12-04T10:19:16.6490830Z Finished test_native_functions 1/1 ... [2025-12-04 10:19:16.646548][4968339.142737631], took 0.03min
2025-12-04T10:19:16.6491452Z Parsing testcases for test report: /var/lib/jenkins/pytorch/test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-2a683b2ad952299a.xml
2025-12-04T10:19:16.6491930Z Failed to parse and upload json test reports: Unable to locate credentials
2025-12-04T10:19:16.6492234Z Running test_typing 1/1 ... [2025-12-04 10:19:16.648350][4968339.144541963]
2025-12-04T10:19:16.6492438Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-12-04T10:19:16.6493003Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_typing.py', '--shard-id=1', '--num-shards=1', '-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 10:19:16.648532]
2025-12-04T10:19:18.7127061Z 
2025-12-04T10:19:18.7128631Z test_typing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_typing_1.1_f2cc1d6e64b79c27_.log
2025-12-04T10:19:18.7129762Z Running 0 items in this shard:
2025-12-04T10:19:18.7130061Z 
2025-12-04T10:19:18.7130432Z Finished test_typing 1/1 ... [2025-12-04 10:19:18.712267][4968341.208455712], took 0.03min
2025-12-04T10:19:18.7154697Z Parsing testcases for test report: /var/lib/jenkins/pytorch/test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-2a683b2ad952299a.xml
2025-12-04T10:19:18.7163204Z Failed to parse and upload json test reports: Unable to locate credentials
2025-12-04T10:19:18.7169355Z Running higher_order_ops/test_invoke_subgraph 1/1 ... [2025-12-04 10:19:18.716674][4968341.212861503]
2025-12-04T10:19:18.7170190Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-12-04T10:19:18.7174199Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'higher_order_ops/test_invoke_subgraph.py', '--shard-id=1', '--num-shards=1', '-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 10:19:18.717130]
2025-12-04T10:19:25.0161447Z 
2025-12-04T10:19:25.0162285Z higher_order_ops/test_invoke_subgraph 1/1 was successful, full logs can be found in artifacts with path test/test-reports/higher_order_ops.test_invoke_subgraph_1.1_6b65335de2823719_.log
2025-12-04T10:19:25.0173982Z Running 50 items in this shard: test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module
2025-12-04T10:19:25.0184521Z 
2025-12-04T10:19:25.0184745Z Finished higher_order_ops/test_invoke_subgraph 1/1 ... [2025-12-04 10:19:25.015235][4968347.511423246], took 0.10min
2025-12-04T10:19:25.0185295Z Parsing testcases for test report: /var/lib/jenkins/pytorch/test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-2a683b2ad952299a.xml
2025-12-04T10:19:25.0185770Z Failed to parse and upload json test reports: Unable to locate credentials
2025-12-04T10:19:25.0186017Z Running test_decomp 3/12 ... [2025-12-04 10:19:25.017561][4968347.51375004]
2025-12-04T10:19:25.0186215Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-12-04T10:19:25.0186763Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_decomp.py', '--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 10:19:25.017866]
2025-12-04T10:19:36.7438286Z 
2025-12-04T10:19:36.7439869Z test_decomp 3/12 was successful, full logs can be found in artifacts with path test/test-reports/test_decomp_3.12_26d3136bb19b9c62_.log
2025-12-04T10:19:36.7441061Z Running 0 items in this shard:
2025-12-04T10:19:36.7441344Z 
2025-12-04T10:19:36.7441752Z Finished test_decomp 3/12 ... [2025-12-04 10:19:36.743451][4968359.239636438], took 0.20min
2025-12-04T10:19:36.7466514Z Parsing testcases for test report: /var/lib/jenkins/pytorch/test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-2a683b2ad952299a.xml
2025-12-04T10:19:36.7476020Z Failed to parse and upload json test reports: Unable to locate credentials
2025-12-04T10:19:36.7481709Z Running test_decomp 9/12 ... [2025-12-04 10:19:36.747930][4968359.244118518]
2025-12-04T10:19:36.7482372Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-12-04T10:19:36.7486239Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_decomp.py', '--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 10:19:36.748361]
2025-12-04T10:19:49.4549023Z 
2025-12-04T10:19:49.4550273Z test_decomp 9/12 was successful, full logs can be found in artifacts with path test/test-reports/test_decomp_9.12_0af1bd2424ae0225_.log
2025-12-04T10:19:49.4588612Z Running 0 items in this shard:
2025-12-04T10:19:49.4588904Z 
2025-12-04T10:19:49.4589341Z Finished test_decomp 9/12 ... [2025-12-04 10:19:49.451364][4968371.947551742], took 0.21min
2025-12-04T10:19:49.4590934Z Parsing testcases for test report: /var/lib/jenkins/pytorch/test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-2a683b2ad952299a.xml
2025-12-04T10:19:49.4592468Z Failed to parse and upload json test reports: Unable to locate credentials
2025-12-04T10:19:49.4593289Z Running test_legacy_vmap 1/1 ... [2025-12-04 10:19:49.453642][4968371.949832856]
2025-12-04T10:19:49.4593950Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-12-04T10:19:49.4595791Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_legacy_vmap.py', '--shard-id=1', '--num-shards=1', '-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 10:19:49.453881]
2025-12-04T10:19:51.9557144Z 
2025-12-04T10:19:51.9557989Z test_legacy_vmap 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_legacy_vmap_1.1_13676178f340e9f2_.log
2025-12-04T10:19:51.9558468Z Running 0 items in this shard:
2025-12-04T10:19:51.9558556Z 
2025-12-04T10:19:51.9559074Z Finished test_legacy_vmap 1/1 ... [2025-12-04 10:19:51.955468][4968374.451656804], took 0.04min
2025-12-04T10:19:51.9567746Z Parsing testcases for test report: /var/lib/jenkins/pytorch/test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-2a683b2ad952299a.xml
2025-12-04T10:19:51.9573589Z Failed to parse and upload json test reports: Unable to locate credentials
2025-12-04T10:19:51.9575630Z Running higher_order_ops/test_print 1/1 ... [2025-12-04 10:19:51.957461][4968374.453650193]
2025-12-04T10:19:51.9575863Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-12-04T10:19:51.9578447Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'higher_order_ops/test_print.py', '--shard-id=1', '--num-shards=1', '-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 10:19:51.957705]
2025-12-04T10:19:54.3795451Z 
2025-12-04T10:19:54.3797075Z higher_order_ops/test_print 1/1 was successful, full logs can be found in artifacts with path test/test-reports/higher_order_ops.test_print_1.1_6a114818ac6511fb_.log
2025-12-04T10:19:54.3798507Z Running 0 items in this shard:
2025-12-04T10:19:54.3798789Z 
2025-12-04T10:19:54.3799281Z Finished higher_order_ops/test_print 1/1 ... [2025-12-04 10:19:54.379228][4968376.875413164], took 0.04min
2025-12-04T10:19:54.3825255Z Parsing testcases for test report: /var/lib/jenkins/pytorch/test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-2a683b2ad952299a.xml
2025-12-04T10:19:54.3833881Z Failed to parse and upload json test reports: Unable to locate credentials
2025-12-04T10:19:54.3841650Z Running test_per_overload_api 1/1 ... [2025-12-04 10:19:54.383785][4968376.879972623]
2025-12-04T10:19:54.3842347Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-12-04T10:19:54.3845299Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_per_overload_api.py', '--shard-id=1', '--num-shards=1', '-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 10:19:54.384230]
2025-12-04T10:19:56.3380002Z 
2025-12-04T10:19:56.3381488Z test_per_overload_api 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_per_overload_api_1.1_f41408c5fcd323d5_.log
2025-12-04T10:19:56.3381924Z Running 0 items in this shard:
2025-12-04T10:19:56.3382009Z 
2025-12-04T10:19:56.3382142Z Finished test_per_overload_api 1/1 ... [2025-12-04 10:19:56.337743][4968378.833932764], took 0.03min
2025-12-04T10:19:56.3391064Z Parsing testcases for test report: /var/lib/jenkins/pytorch/test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-2a683b2ad952299a.xml
2025-12-04T10:19:56.3395629Z Failed to parse and upload json test reports: Unable to locate credentials
2025-12-04T10:19:56.3397810Z Running test_multiprocessing 1/1 ... [2025-12-04 10:19:56.339717][4968378.835908073]
2025-12-04T10:19:56.3398029Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-12-04T10:19:56.3401425Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_multiprocessing.py', '--shard-id=1', '--num-shards=1', '-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 10:19:56.339934]
2025-12-04T10:23:27.0812786Z 
2025-12-04T10:23:27.0814287Z test_multiprocessing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_multiprocessing_1.1_11905e12c1edbe8b_.log
2025-12-04T10:23:27.0867514Z Running 100 items in this shard: test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple
2025-12-04T10:23:27.0918241Z 
2025-12-04T10:23:27.0918700Z Finished test_multiprocessing 1/1 ... [2025-12-04 10:23:27.080965][4968589.577149153], took 3.51min
2025-12-04T10:23:27.0920397Z Parsing testcases for test report: /var/lib/jenkins/pytorch/test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-2a683b2ad952299a.xml
2025-12-04T10:23:27.0921931Z Failed to parse and upload json test reports: Unable to locate credentials
2025-12-04T10:23:27.0922719Z Running test_meta 2/3 ... [2025-12-04 10:23:27.085607][4968589.581794609]
2025-12-04T10:23:27.0923345Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-12-04T10:23:27.0925092Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_meta.py', '--shard-id=2', '--num-shards=3', '-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 10:23:27.086071]
2025-12-04T10:24:08.3556160Z 
2025-12-04T10:24:08.3557485Z test_meta 2/3 was successful, full logs can be found in artifacts with path test/test-reports/test_meta_2.3_cf64cab89f65c25f_.log
2025-12-04T10:24:08.3558701Z Running 0 items in this shard:
2025-12-04T10:24:08.3558979Z 
2025-12-04T10:24:08.3559346Z Finished test_meta 2/3 ... [2025-12-04 10:24:08.355151][4968630.851340254], took 0.69min
2025-12-04T10:24:08.3576809Z Parsing testcases for test report: /var/lib/jenkins/pytorch/test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-2a683b2ad952299a.xml
2025-12-04T10:24:08.3586306Z Failed to parse and upload json test reports: Unable to locate credentials
2025-12-04T10:24:08.3592052Z Running test_numpy_interop 1/1 ... [2025-12-04 10:24:08.359034][4968630.855221871]
2025-12-04T10:24:08.3592765Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-12-04T10:24:08.3597519Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_numpy_interop.py', '--shard-id=1', '--num-shards=1', '-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 10:24:08.359481]
2025-12-04T10:24:10.6606495Z 
2025-12-04T10:24:10.6607939Z test_numpy_interop 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_numpy_interop_1.1_344d63b86cff6b61_.log
2025-12-04T10:24:10.6609352Z Running 0 items in this shard:
2025-12-04T10:24:10.6609649Z 
2025-12-04T10:24:10.6610097Z Finished test_numpy_interop 1/1 ... [2025-12-04 10:24:10.660291][4968633.156476928], took 0.04min
2025-12-04T10:24:10.6636975Z Parsing testcases for test report: /var/lib/jenkins/pytorch/test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-2a683b2ad952299a.xml
2025-12-04T10:24:10.6645507Z Failed to parse and upload json test reports: Unable to locate credentials
2025-12-04T10:24:10.6651427Z Running profiler/test_cpp_thread 1/1 ... [2025-12-04 10:24:10.664955][4968633.161143073]
2025-12-04T10:24:10.6652159Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-12-04T10:24:10.6656491Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'profiler/test_cpp_thread.py', '--shard-id=1', '--num-shards=1', '-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 10:24:10.665381]
2025-12-04T10:24:22.6632877Z 
2025-12-04T10:24:22.6634403Z profiler/test_cpp_thread 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_cpp_thread_1.1_d1d90ab985c5e543_.log
2025-12-04T10:24:22.6635802Z Running 0 items in this shard:
2025-12-04T10:24:22.6636087Z 
2025-12-04T10:24:22.6637372Z Finished profiler/test_cpp_thread 1/1 ... [2025-12-04 10:24:22.662947][4968645.159136076], took 0.20min
2025-12-04T10:24:22.6645840Z Parsing testcases for test report: /var/lib/jenkins/pytorch/test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-2a683b2ad952299a.xml
2025-12-04T10:24:22.6648940Z Failed to parse and upload json test reports: Unable to locate credentials
2025-12-04T10:24:22.6650540Z Running test_ops_gradients 1/2 ... [2025-12-04 10:24:22.664934][4968645.161125954]
2025-12-04T10:24:22.6651276Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-12-04T10:24:22.6653841Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_ops_gradients.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 10:24:22.665132]
2025-12-04T10:25:20.1875117Z 
2025-12-04T10:25:20.1876543Z test_ops_gradients 1/2 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_gradients_1.2_1661f23351f69c3c_.log
2025-12-04T10:25:20.1998820Z 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, 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, 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, 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, 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, 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, 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, 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, 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, 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_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_grad_cholesky_solve_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_grad_cholesky_solve_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_grad_cholesky_solve_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_grad_cholesky_solve_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_grad_cholesky_solve_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_grad_cholesky_solve_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_grad_cholesky_solve_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_grad_cholesky_solve_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_grad_cholesky_solve_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_grad_cholesky_solve_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_grad_cholesky_solve_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_grad_cholesky_solve_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_grad_cholesky_solve_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_grad_cholesky_solve_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_grad_cholesky_solve_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_grad_cholesky_solve_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_grad_cholesky_solve_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_grad_cholesky_solve_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_grad_cholesky_solve_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_grad_cholesky_solve_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_grad_cholesky_solve_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_grad_cholesky_solve_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_grad_cholesky_solve_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_grad_cholesky_solve_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_grad_cholesky_solve_cuda_float64, 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test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_gradgrad_cholesky_solve_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_gradgrad_cholesky_solve_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_gradgrad_cholesky_solve_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_gradgrad_cholesky_solve_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_gradgrad_cholesky_solve_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_gradgrad_cholesky_solve_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_gradgrad_cholesky_solve_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_gradgrad_cholesky_solve_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_gradgrad_cholesky_solve_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_gradgrad_cholesky_solve_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_gradgrad_cholesky_solve_cuda_complex128
2025-12-04T10:25:20.2119171Z 
2025-12-04T10:25:20.2119630Z Finished test_ops_gradients 1/2 ... [2025-12-04 10:25:20.187373][4968702.683558675], took 0.96min
2025-12-04T10:25:20.2121288Z Parsing testcases for test report: /var/lib/jenkins/pytorch/test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-2a683b2ad952299a.xml
2025-12-04T10:25:20.2122971Z Failed to parse and upload json test reports: Unable to locate credentials
2025-12-04T10:25:20.2123932Z Running distributions/test_constraints 1/1 ... [2025-12-04 10:25:20.192187][4968702.688374717]
2025-12-04T10:25:20.2124727Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-12-04T10:25:20.2126689Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'distributions/test_constraints.py', '--shard-id=1', '--num-shards=1', '-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 10:25:20.192629]
2025-12-04T10:25:22.6465312Z 
2025-12-04T10:25:22.6466829Z distributions/test_constraints 1/1 was successful, full logs can be found in artifacts with path test/test-reports/distributions.test_constraints_1.1_a11463c7be307d32_.log
2025-12-04T10:25:22.6468414Z Running 0 items in this shard:
2025-12-04T10:25:22.6468702Z 
2025-12-04T10:25:22.6469257Z Finished distributions/test_constraints 1/1 ... [2025-12-04 10:25:22.646221][4968705.142405771], took 0.04min
2025-12-04T10:25:22.6498047Z Parsing testcases for test report: /var/lib/jenkins/pytorch/test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-2a683b2ad952299a.xml
2025-12-04T10:25:22.6506376Z Failed to parse and upload json test reports: Unable to locate credentials
2025-12-04T10:25:22.6512256Z Running test_linalg 1/2 ... [2025-12-04 10:25:22.651072][4968705.147259772]
2025-12-04T10:25:22.6512917Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-12-04T10:25:22.6517837Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_linalg.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 10:25:22.651524]
2025-12-04T10:26:33.2180211Z 
2025-12-04T10:26:33.2181453Z PRINTING LOG FILE of test_linalg 1/2 (test/test-reports/test_linalg_1.2_49f6a0a8d861d36f_.log)
2025-12-04T10:26:33.2182708Z Test results will be stored in test-reports/python-pytest/test_linalg/test_linalg-80143c9123e0caae.xml
2025-12-04T10:26:33.2183631Z ============================= test session starts ==============================
2025-12-04T10:26:33.2184526Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python
2025-12-04T10:26:33.2185332Z cachedir: .pytest_cache
2025-12-04T10:26:33.2186270Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow]
2025-12-04T10:26:33.2187311Z rootdir: /var/lib/jenkins/pytorch
2025-12-04T10:26:33.2187748Z configfile: pytest.ini
2025-12-04T10:26:33.2188776Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, typeguard-4.3.0
2025-12-04T10:26:33.2189810Z collecting ... collected 1263 items
2025-12-04T10:26:33.2190361Z stepcurrent: Cannot find last run test, not skipping
2025-12-04T10:26:33.2239317Z Running 100 items in this shard: test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda, test/test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda
2025-12-04T10:26:33.2287028Z 
2025-12-04T10:26:33.2288115Z test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32 [W1204 10:25:38.901300084 collection.cpp:1148] Warning: ROCTracer produced duplicate flow start: 2 (function operator())
2025-12-04T10:26:33.2289483Z PASSED [12.6476s] [  1%]
2025-12-04T10:26:33.2290359Z test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda FAILED [0.2864s] [  2%]
2025-12-04T10:26:33.2291456Z test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32 PASSED [0.0339s] [  2%]
2025-12-04T10:26:33.2292505Z test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32 PASSED [0.0034s] [  2%]
2025-12-04T10:26:33.2293546Z test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32 PASSED [0.0030s] [  2%]
2025-12-04T10:26:33.2294589Z test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32 PASSED [0.0027s] [  2%]
2025-12-04T10:26:33.2295629Z test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32 PASSED [0.0027s] [  2%]
2025-12-04T10:26:33.2296673Z test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32 PASSED [0.0026s] [  2%]
2025-12-04T10:26:33.2297730Z test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32 PASSED [0.0025s] [  2%]
2025-12-04T10:26:33.2298841Z test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32 PASSED [0.0026s] [  2%]
2025-12-04T10:26:33.2300003Z test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32 PASSED [0.0025s] [  2%]
2025-12-04T10:26:33.2301043Z test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32 PASSED [0.0027s] [  2%]
2025-12-04T10:26:33.2302081Z test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32 PASSED [0.0025s] [  2%]
2025-12-04T10:26:33.2303123Z test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32 PASSED [0.0026s] [  2%]
2025-12-04T10:26:33.2304162Z test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32 PASSED [0.0026s] [  2%]
2025-12-04T10:26:33.2305206Z test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32 PASSED [0.0025s] [  2%]
2025-12-04T10:26:33.2306239Z test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32 PASSED [0.0026s] [  2%]
2025-12-04T10:26:33.2307295Z test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32 PASSED [0.0025s] [  2%]
2025-12-04T10:26:33.2308413Z test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32 PASSED [0.0025s] [  2%]
2025-12-04T10:26:33.2309461Z test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32 PASSED [0.0026s] [  2%]
2025-12-04T10:26:33.2310511Z test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32 PASSED [0.0025s] [  2%]
2025-12-04T10:26:33.2311557Z test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32 PASSED [0.0027s] [  2%]
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2025-12-04T10:26:33.2316893Z test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32 PASSED [0.0026s] [  2%]
2025-12-04T10:26:33.2317936Z test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32 PASSED [0.0025s] [  2%]
2025-12-04T10:26:33.2319005Z test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32 PASSED [0.0026s] [  2%]
2025-12-04T10:26:33.2320047Z test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32 PASSED [0.0029s] [  2%]
2025-12-04T10:26:33.2321088Z test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32 PASSED [0.0026s] [  2%]
2025-12-04T10:26:33.2322122Z test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32 PASSED [0.0026s] [  2%]
2025-12-04T10:26:33.2323169Z test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32 PASSED [0.0018s] [  2%]
2025-12-04T10:26:33.2324221Z test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32 PASSED [0.0017s] [  2%]
2025-12-04T10:26:33.2325271Z test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32 PASSED [0.0018s] [  2%]
2025-12-04T10:26:33.2326327Z test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32 PASSED [0.0017s] [  2%]
2025-12-04T10:26:33.2327371Z test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32 PASSED [0.0018s] [  2%]
2025-12-04T10:26:33.2328501Z test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32 PASSED [0.0017s] [  2%]
2025-12-04T10:26:33.2329542Z test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32 PASSED [0.0017s] [  2%]
2025-12-04T10:26:33.2330574Z test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32 PASSED [0.0018s] [  2%]
2025-12-04T10:26:33.2331618Z test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32 PASSED [0.0017s] [  2%]
2025-12-04T10:26:33.2332659Z test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32 PASSED [0.0018s] [  2%]
2025-12-04T10:26:33.2333704Z test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32 PASSED [0.0017s] [  2%]
2025-12-04T10:26:33.2334848Z test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32 PASSED [0.0017s] [  2%]
2025-12-04T10:26:33.2335890Z test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32 PASSED [0.0018s] [  2%]
2025-12-04T10:26:33.2336934Z test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32 PASSED [0.0017s] [  2%]
2025-12-04T10:26:33.2337981Z test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32 PASSED [0.0018s] [  2%]
2025-12-04T10:26:33.2339077Z test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32 PASSED [0.0017s] [  2%]
2025-12-04T10:26:33.2340129Z test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32 PASSED [0.0017s] [  2%]
2025-12-04T10:26:33.2341177Z test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32 PASSED [0.0017s] [  2%]
2025-12-04T10:26:33.2342225Z test_linalg.py::TestLinalgCUDA::test_call_count_tunableop_cuda_float32 PASSED [0.0017s] [  2%]
2025-12-04T10:26:33.2343272Z test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda FAILED [0.1553s] [  2%]
2025-12-04T10:26:33.2344314Z test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda FAILED [0.1322s] [  2%]
2025-12-04T10:26:33.2345350Z test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda FAILED [0.1518s] [  2%]
2025-12-04T10:26:33.2346387Z test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda FAILED [0.1582s] [  2%]
2025-12-04T10:26:33.2347431Z test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda FAILED [0.1315s] [  2%]
2025-12-04T10:26:33.2348518Z test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda FAILED [0.7362s] [  2%]
2025-12-04T10:26:33.2349548Z test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda FAILED [1.1783s] [  2%]
2025-12-04T10:26:33.2350673Z test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda FAILED [1.1786s] [  2%]
2025-12-04T10:26:33.2351706Z test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda FAILED [1.1787s] [  2%]
2025-12-04T10:26:33.2352733Z test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda FAILED [1.1784s] [  2%]
2025-12-04T10:26:33.2353773Z test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda FAILED [1.1786s] [  2%]
2025-12-04T10:26:33.2354811Z test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda FAILED [1.1781s] [  2%]
2025-12-04T10:26:33.2355846Z test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda FAILED [1.1782s] [  2%]
2025-12-04T10:26:33.2356875Z test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda FAILED [1.1786s] [  2%]
2025-12-04T10:26:33.2357904Z test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda FAILED [1.1782s] [  2%]
2025-12-04T10:26:33.2358992Z test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda FAILED [1.1787s] [  2%]
2025-12-04T10:26:33.2360012Z test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda FAILED [1.1783s] [  2%]
2025-12-04T10:26:33.2361047Z test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda FAILED [1.1786s] [  2%]
2025-12-04T10:26:33.2362088Z test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda FAILED [1.1788s] [  2%]
2025-12-04T10:26:33.2363122Z test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda FAILED [1.1781s] [  2%]
2025-12-04T10:26:33.2364158Z test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda FAILED [1.1787s] [  2%]
2025-12-04T10:26:33.2365196Z test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda FAILED [1.1783s] [  2%]
2025-12-04T10:26:33.2366239Z test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda FAILED [1.1781s] [  2%]
2025-12-04T10:26:33.2367280Z test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda FAILED [1.1785s] [  2%]
2025-12-04T10:26:33.2368354Z test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda FAILED [1.1784s] [  2%]
2025-12-04T10:26:33.2369483Z test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda FAILED [1.1783s] [  2%]
2025-12-04T10:26:33.2370527Z test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda FAILED [1.1784s] [  2%]
2025-12-04T10:26:33.2371567Z test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda FAILED [1.1782s] [  2%]
2025-12-04T10:26:33.2372600Z test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda FAILED [1.1789s] [  2%]
2025-12-04T10:26:33.2373641Z test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda FAILED [1.1780s] [  2%]
2025-12-04T10:26:33.2374674Z test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda FAILED [1.1792s] [  2%]
2025-12-04T10:26:33.2375737Z test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda FAILED [1.1783s] [  2%]
2025-12-04T10:26:33.2376771Z test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda FAILED [1.1783s] [  2%]
2025-12-04T10:26:33.2377814Z test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda FAILED [1.1786s] [  2%]
2025-12-04T10:26:33.2378902Z test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda FAILED [1.1784s] [  2%]
2025-12-04T10:26:33.2379935Z test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda FAILED [1.1785s] [  2%]
2025-12-04T10:26:33.2380970Z test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda FAILED [1.1787s] [  2%]
2025-12-04T10:26:33.2382008Z test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda FAILED [1.1786s] [  2%]
2025-12-04T10:26:33.2383045Z test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda FAILED [1.1787s] [  2%]
2025-12-04T10:26:33.2384080Z test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda FAILED [1.1786s] [  2%]
2025-12-04T10:26:33.2385237Z test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda FAILED [1.1787s] [  2%]
2025-12-04T10:26:33.2386273Z test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda FAILED [1.1785s] [  2%]
2025-12-04T10:26:33.2387298Z test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda FAILED [1.1781s] [  2%]
2025-12-04T10:26:33.2388385Z test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda FAILED [1.1789s] [  2%]
2025-12-04T10:26:33.2389423Z test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda FAILED [1.1783s] [  2%]
2025-12-04T10:26:33.2390457Z test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda FAILED [1.1785s] [  2%]
2025-12-04T10:26:33.2391494Z test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda FAILED [1.1786s] [  2%]
2025-12-04T10:26:33.2392533Z test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda FAILED [1.1781s] [  2%]
2025-12-04T10:26:33.2393563Z test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda FAILED [1.1787s] [  2%]
2025-12-04T10:26:33.2394175Z 
2025-12-04T10:26:33.2394372Z =================================== FAILURES ===================================
2025-12-04T10:26:33.2395083Z ____________ TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda _____________
2025-12-04T10:26:33.2395749Z Traceback (most recent call last):
2025-12-04T10:26:33.2396575Z   File "/var/lib/jenkins/pytorch/test/test_linalg.py", line 10199, in test_triu_tril_large_matrix_64bit
2025-12-04T10:26:33.2397456Z     self.assertEqual(num_zeros, expected_zeros)
2025-12-04T10:26:33.2398558Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:26:33.2399691Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:26:33.2400284Z AssertionError: Scalars are not equal!
2025-12-04T10:26:33.2400601Z 
2025-12-04T10:26:33.2400758Z Expected 42951 but got 0.
2025-12-04T10:26:33.2401139Z Absolute difference: 42951
2025-12-04T10:26:33.2401523Z Relative difference: 1.0
2025-12-04T10:26:33.2401767Z 
2025-12-04T10:26:33.2402042Z To execute this test, run the following from the base repo dir:
2025-12-04T10:26:33.2403125Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_linalg.py TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda
2025-12-04T10:26:33.2403838Z 
2025-12-04T10:26:33.2404170Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:26:33.2405009Z ____________ TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda _____________
2025-12-04T10:26:33.2405673Z Traceback (most recent call last):
2025-12-04T10:26:33.2406475Z   File "/var/lib/jenkins/pytorch/test/test_linalg.py", line 10199, in test_triu_tril_large_matrix_64bit
2025-12-04T10:26:33.2407345Z     self.assertEqual(num_zeros, expected_zeros)
2025-12-04T10:26:33.2408428Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:26:33.2409561Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:26:33.2410184Z AssertionError: Scalars are not equal!
2025-12-04T10:26:33.2410501Z 
2025-12-04T10:26:33.2410644Z Expected 42951 but got 0.
2025-12-04T10:26:33.2411028Z Absolute difference: 42951
2025-12-04T10:26:33.2411400Z Relative difference: 1.0
2025-12-04T10:26:33.2411645Z 
2025-12-04T10:26:33.2411909Z To execute this test, run the following from the base repo dir:
2025-12-04T10:26:33.2412865Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_linalg.py TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda
2025-12-04T10:26:33.2413572Z 
2025-12-04T10:26:33.2413897Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:26:33.2414728Z ____________ TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda _____________
2025-12-04T10:26:33.2415385Z Traceback (most recent call last):
2025-12-04T10:26:33.2416170Z   File "/var/lib/jenkins/pytorch/test/test_linalg.py", line 10199, in test_triu_tril_large_matrix_64bit
2025-12-04T10:26:33.2417125Z     self.assertEqual(num_zeros, expected_zeros)
2025-12-04T10:26:33.2418221Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:26:33.2419326Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:26:33.2419906Z AssertionError: Scalars are not equal!
2025-12-04T10:26:33.2420214Z 
2025-12-04T10:26:33.2420356Z Expected 42951 but got 0.
2025-12-04T10:26:33.2420730Z Absolute difference: 42951
2025-12-04T10:26:33.2421113Z Relative difference: 1.0
2025-12-04T10:26:33.2421343Z 
2025-12-04T10:26:33.2421616Z To execute this test, run the following from the base repo dir:
2025-12-04T10:26:33.2422620Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_linalg.py TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda
2025-12-04T10:26:33.2423325Z 
2025-12-04T10:26:33.2423658Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:26:33.2424500Z ____________ TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda _____________
2025-12-04T10:26:33.2425164Z Traceback (most recent call last):
2025-12-04T10:26:33.2425964Z   File "/var/lib/jenkins/pytorch/test/test_linalg.py", line 10199, in test_triu_tril_large_matrix_64bit
2025-12-04T10:26:33.2426824Z     self.assertEqual(num_zeros, expected_zeros)
2025-12-04T10:26:33.2427853Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:26:33.2429004Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:26:33.2429583Z AssertionError: Scalars are not equal!
2025-12-04T10:26:33.2429889Z 
2025-12-04T10:26:33.2430030Z Expected 42951 but got 0.
2025-12-04T10:26:33.2430403Z Absolute difference: 42951
2025-12-04T10:26:33.2430781Z Relative difference: 1.0
2025-12-04T10:26:33.2431012Z 
2025-12-04T10:26:33.2431278Z To execute this test, run the following from the base repo dir:
2025-12-04T10:26:33.2432246Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_linalg.py TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda
2025-12-04T10:26:33.2432957Z 
2025-12-04T10:26:33.2433409Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:26:33.2434238Z ____________ TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda _____________
2025-12-04T10:26:33.2434900Z Traceback (most recent call last):
2025-12-04T10:26:33.2435696Z   File "/var/lib/jenkins/pytorch/test/test_linalg.py", line 10199, in test_triu_tril_large_matrix_64bit
2025-12-04T10:26:33.2436552Z     self.assertEqual(num_zeros, expected_zeros)
2025-12-04T10:26:33.2437574Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:26:33.2438741Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:26:33.2439317Z AssertionError: Scalars are not equal!
2025-12-04T10:26:33.2439630Z 
2025-12-04T10:26:33.2439772Z Expected 42951 but got 0.
2025-12-04T10:26:33.2440144Z Absolute difference: 42951
2025-12-04T10:26:33.2440521Z Relative difference: 1.0
2025-12-04T10:26:33.2440759Z 
2025-12-04T10:26:33.2441036Z To execute this test, run the following from the base repo dir:
2025-12-04T10:26:33.2442040Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_linalg.py TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda
2025-12-04T10:26:33.2442747Z 
2025-12-04T10:26:33.2443075Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:26:33.2443904Z ____________ TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda _____________
2025-12-04T10:26:33.2444565Z Traceback (most recent call last):
2025-12-04T10:26:33.2445359Z   File "/var/lib/jenkins/pytorch/test/test_linalg.py", line 10199, in test_triu_tril_large_matrix_64bit
2025-12-04T10:26:33.2446216Z     self.assertEqual(num_zeros, expected_zeros)
2025-12-04T10:26:33.2447233Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:26:33.2448473Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:26:33.2449049Z AssertionError: Scalars are not equal!
2025-12-04T10:26:33.2449371Z 
2025-12-04T10:26:33.2449507Z Expected 42951 but got 0.
2025-12-04T10:26:33.2449880Z Absolute difference: 42951
2025-12-04T10:26:33.2450257Z Relative difference: 1.0
2025-12-04T10:26:33.2450493Z 
2025-12-04T10:26:33.2450757Z To execute this test, run the following from the base repo dir:
2025-12-04T10:26:33.2451718Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_linalg.py TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda
2025-12-04T10:26:33.2452427Z 
2025-12-04T10:26:33.2452751Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:26:33.2453593Z ____________ TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda _____________
2025-12-04T10:26:33.2454256Z Traceback (most recent call last):
2025-12-04T10:26:33.2455058Z   File "/var/lib/jenkins/pytorch/test/test_linalg.py", line 10199, in test_triu_tril_large_matrix_64bit
2025-12-04T10:26:33.2455913Z     self.assertEqual(num_zeros, expected_zeros)
2025-12-04T10:26:33.2456959Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:26:33.2458113Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:26:33.2458690Z AssertionError: Scalars are not equal!
2025-12-04T10:26:33.2459002Z 
2025-12-04T10:26:33.2459135Z Expected 42951 but got 0.
2025-12-04T10:26:33.2459503Z Absolute difference: 42951
2025-12-04T10:26:33.2459877Z Relative difference: 1.0
2025-12-04T10:26:33.2460107Z 
2025-12-04T10:26:33.2460368Z To execute this test, run the following from the base repo dir:
2025-12-04T10:26:33.2461322Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_linalg.py TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda
2025-12-04T10:26:33.2462038Z 
2025-12-04T10:26:33.2462360Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:26:33.2463191Z ____________ TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda _____________
2025-12-04T10:26:33.2463971Z Traceback (most recent call last):
2025-12-04T10:26:33.2464765Z   File "/var/lib/jenkins/pytorch/test/test_linalg.py", line 10199, in test_triu_tril_large_matrix_64bit
2025-12-04T10:26:33.2465624Z     self.assertEqual(num_zeros, expected_zeros)
2025-12-04T10:26:33.2466648Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:26:33.2467765Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:26:33.2468401Z AssertionError: Scalars are not equal!
2025-12-04T10:26:33.2468710Z 
2025-12-04T10:26:33.2468851Z Expected 42951 but got 0.
2025-12-04T10:26:33.2469220Z Absolute difference: 42951
2025-12-04T10:26:33.2469591Z Relative difference: 1.0
2025-12-04T10:26:33.2469828Z 
2025-12-04T10:26:33.2470092Z To execute this test, run the following from the base repo dir:
2025-12-04T10:26:33.2471051Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_linalg.py TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda
2025-12-04T10:26:33.2471763Z 
2025-12-04T10:26:33.2472089Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:26:33.2472918Z ____________ TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda _____________
2025-12-04T10:26:33.2473576Z Traceback (most recent call last):
2025-12-04T10:26:33.2474365Z   File "/var/lib/jenkins/pytorch/test/test_linalg.py", line 10199, in test_triu_tril_large_matrix_64bit
2025-12-04T10:26:33.2475222Z     self.assertEqual(num_zeros, expected_zeros)
2025-12-04T10:26:33.2476244Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:26:33.2477352Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:26:33.2478018Z AssertionError: Scalars are not equal!
2025-12-04T10:26:33.2478378Z 
2025-12-04T10:26:33.2478515Z Expected 42951 but got 0.
2025-12-04T10:26:33.2478887Z Absolute difference: 42951
2025-12-04T10:26:33.2479258Z Relative difference: 1.0
2025-12-04T10:26:33.2479491Z 
2025-12-04T10:26:33.2479761Z To execute this test, run the following from the base repo dir:
2025-12-04T10:26:33.2480727Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_linalg.py TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda
2025-12-04T10:26:33.2481438Z 
2025-12-04T10:26:33.2481767Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:26:33.2482601Z ____________ TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda _____________
2025-12-04T10:26:33.2483264Z Traceback (most recent call last):
2025-12-04T10:26:33.2484057Z   File "/var/lib/jenkins/pytorch/test/test_linalg.py", line 10199, in test_triu_tril_large_matrix_64bit
2025-12-04T10:26:33.2484912Z     self.assertEqual(num_zeros, expected_zeros)
2025-12-04T10:26:33.2485929Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:26:33.2487022Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:26:33.2487599Z AssertionError: Scalars are not equal!
2025-12-04T10:26:33.2487904Z 
2025-12-04T10:26:33.2488043Z Expected 42951 but got 0.
2025-12-04T10:26:33.2488453Z Absolute difference: 42951
2025-12-04T10:26:33.2488827Z Relative difference: 1.0
2025-12-04T10:26:33.2489057Z 
2025-12-04T10:26:33.2489320Z To execute this test, run the following from the base repo dir:
2025-12-04T10:26:33.2490264Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_linalg.py TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda
2025-12-04T10:26:33.2490962Z 
2025-12-04T10:26:33.2491285Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:26:33.2492106Z ____________ TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda _____________
2025-12-04T10:26:33.2492765Z Traceback (most recent call last):
2025-12-04T10:26:33.2493545Z   File "/var/lib/jenkins/pytorch/test/test_linalg.py", line 10199, in test_triu_tril_large_matrix_64bit
2025-12-04T10:26:33.2494499Z     self.assertEqual(num_zeros, expected_zeros)
2025-12-04T10:26:33.2495515Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:26:33.2496616Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:26:33.2497186Z AssertionError: Scalars are not equal!
2025-12-04T10:26:33.2497495Z 
2025-12-04T10:26:33.2497630Z Expected 42951 but got 0.
2025-12-04T10:26:33.2497997Z Absolute difference: 42951
2025-12-04T10:26:33.2498413Z Relative difference: 1.0
2025-12-04T10:26:33.2498648Z 
2025-12-04T10:26:33.2498912Z To execute this test, run the following from the base repo dir:
2025-12-04T10:26:33.2499906Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_linalg.py TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda
2025-12-04T10:26:33.2500620Z 
2025-12-04T10:26:33.2500943Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:26:33.2501784Z ____________ TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda _____________
2025-12-04T10:26:33.2502439Z Traceback (most recent call last):
2025-12-04T10:26:33.2503225Z   File "/var/lib/jenkins/pytorch/test/test_linalg.py", line 10199, in test_triu_tril_large_matrix_64bit
2025-12-04T10:26:33.2504086Z     self.assertEqual(num_zeros, expected_zeros)
2025-12-04T10:26:33.2505105Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:26:33.2506210Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:26:33.2506783Z AssertionError: Scalars are not equal!
2025-12-04T10:26:33.2507097Z 
2025-12-04T10:26:33.2507231Z Expected 42951 but got 0.
2025-12-04T10:26:33.2507599Z Absolute difference: 42951
2025-12-04T10:26:33.2508128Z Relative difference: 1.0
2025-12-04T10:26:33.2508360Z 
2025-12-04T10:26:33.2508628Z To execute this test, run the following from the base repo dir:
2025-12-04T10:26:33.2509638Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_linalg.py TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda
2025-12-04T10:26:33.2510345Z 
2025-12-04T10:26:33.2510666Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:26:33.2511491Z ____________ TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda _____________
2025-12-04T10:26:33.2512150Z Traceback (most recent call last):
2025-12-04T10:26:33.2512941Z   File "/var/lib/jenkins/pytorch/test/test_linalg.py", line 10199, in test_triu_tril_large_matrix_64bit
2025-12-04T10:26:33.2513792Z     self.assertEqual(num_zeros, expected_zeros)
2025-12-04T10:26:33.2514812Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:26:33.2515921Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:26:33.2516497Z AssertionError: Scalars are not equal!
2025-12-04T10:26:33.2516801Z 
2025-12-04T10:26:33.2516938Z Expected 42951 but got 0.
2025-12-04T10:26:33.2517307Z Absolute difference: 42951
2025-12-04T10:26:33.2517681Z Relative difference: 1.0
2025-12-04T10:26:33.2517912Z 
2025-12-04T10:26:33.2518222Z To execute this test, run the following from the base repo dir:
2025-12-04T10:26:33.2519173Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_linalg.py TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda
2025-12-04T10:26:33.2519871Z 
2025-12-04T10:26:33.2520198Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:26:33.2521021Z ____________ TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda _____________
2025-12-04T10:26:33.2521676Z Traceback (most recent call last):
2025-12-04T10:26:33.2522465Z   File "/var/lib/jenkins/pytorch/test/test_linalg.py", line 10199, in test_triu_tril_large_matrix_64bit
2025-12-04T10:26:33.2523323Z     self.assertEqual(num_zeros, expected_zeros)
2025-12-04T10:26:33.2524346Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:26:33.2525839Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:26:33.2526417Z AssertionError: Scalars are not equal!
2025-12-04T10:26:33.2526723Z 
2025-12-04T10:26:33.2526859Z Expected 42951 but got 0.
2025-12-04T10:26:33.2527226Z Absolute difference: 42951
2025-12-04T10:26:33.2527597Z Relative difference: 1.0
2025-12-04T10:26:33.2527824Z 
2025-12-04T10:26:33.2528132Z To execute this test, run the following from the base repo dir:
2025-12-04T10:26:33.2529068Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_linalg.py TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda
2025-12-04T10:26:33.2529756Z 
2025-12-04T10:26:33.2530081Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:26:33.2530898Z ____________ TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda _____________
2025-12-04T10:26:33.2531560Z Traceback (most recent call last):
2025-12-04T10:26:33.2532348Z   File "/var/lib/jenkins/pytorch/test/test_linalg.py", line 10199, in test_triu_tril_large_matrix_64bit
2025-12-04T10:26:33.2533212Z     self.assertEqual(num_zeros, expected_zeros)
2025-12-04T10:26:33.2534503Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:26:33.2535602Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:26:33.2536180Z AssertionError: Scalars are not equal!
2025-12-04T10:26:33.2536487Z 
2025-12-04T10:26:33.2536628Z Expected 42951 but got 0.
2025-12-04T10:26:33.2536995Z Absolute difference: 42951
2025-12-04T10:26:33.2537372Z Relative difference: 1.0
2025-12-04T10:26:33.2537607Z 
2025-12-04T10:26:33.2537872Z To execute this test, run the following from the base repo dir:
2025-12-04T10:26:33.2538930Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_linalg.py TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda
2025-12-04T10:26:33.2539730Z 
2025-12-04T10:26:33.2540054Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:26:33.2540889Z ____________ TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda _____________
2025-12-04T10:26:33.2541549Z Traceback (most recent call last):
2025-12-04T10:26:33.2542344Z   File "/var/lib/jenkins/pytorch/test/test_linalg.py", line 10199, in test_triu_tril_large_matrix_64bit
2025-12-04T10:26:33.2543205Z     self.assertEqual(num_zeros, expected_zeros)
2025-12-04T10:26:33.2544228Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:26:33.2545344Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:26:33.2545923Z AssertionError: Scalars are not equal!
2025-12-04T10:26:33.2546240Z 
2025-12-04T10:26:33.2546373Z Expected 42951 but got 0.
2025-12-04T10:26:33.2546752Z Absolute difference: 42951
2025-12-04T10:26:33.2547126Z Relative difference: 1.0
2025-12-04T10:26:33.2547358Z 
2025-12-04T10:26:33.2547619Z To execute this test, run the following from the base repo dir:
2025-12-04T10:26:33.2548660Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_linalg.py TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda
2025-12-04T10:26:33.2549432Z 
2025-12-04T10:26:33.2549753Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:26:33.2550580Z ____________ TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda _____________
2025-12-04T10:26:33.2551238Z Traceback (most recent call last):
2025-12-04T10:26:33.2552019Z   File "/var/lib/jenkins/pytorch/test/test_linalg.py", line 10199, in test_triu_tril_large_matrix_64bit
2025-12-04T10:26:33.2552873Z     self.assertEqual(num_zeros, expected_zeros)
2025-12-04T10:26:33.2553887Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:26:33.2554989Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:26:33.2555564Z AssertionError: Scalars are not equal!
2025-12-04T10:26:33.2555877Z 
2025-12-04T10:26:33.2556013Z Expected 42951 but got 0.
2025-12-04T10:26:33.2556468Z Absolute difference: 42951
2025-12-04T10:26:33.2556849Z Relative difference: 1.0
2025-12-04T10:26:33.2557082Z 
2025-12-04T10:26:33.2557347Z To execute this test, run the following from the base repo dir:
2025-12-04T10:26:33.2558358Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_linalg.py TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda
2025-12-04T10:26:33.2559065Z 
2025-12-04T10:26:33.2559390Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:26:33.2560229Z ____________ TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda _____________
2025-12-04T10:26:33.2560902Z Traceback (most recent call last):
2025-12-04T10:26:33.2561700Z   File "/var/lib/jenkins/pytorch/test/test_linalg.py", line 10199, in test_triu_tril_large_matrix_64bit
2025-12-04T10:26:33.2562492Z     self.assertEqual(num_zeros, expected_zeros)
2025-12-04T10:26:33.2563145Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:26:33.2563840Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:26:33.2564206Z AssertionError: Scalars are not equal!
2025-12-04T10:26:33.2564401Z 
2025-12-04T10:26:33.2564491Z Expected 42951 but got 0.
2025-12-04T10:26:33.2564730Z Absolute difference: 42951
2025-12-04T10:26:33.2564969Z Relative difference: 1.0
2025-12-04T10:26:33.2565116Z 
2025-12-04T10:26:33.2565285Z To execute this test, run the following from the base repo dir:
2025-12-04T10:26:33.2565888Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_linalg.py TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda
2025-12-04T10:26:33.2566332Z 
2025-12-04T10:26:33.2566539Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:26:33.2567115Z ____________ TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda _____________
2025-12-04T10:26:33.2567530Z Traceback (most recent call last):
2025-12-04T10:26:33.2568038Z   File "/var/lib/jenkins/pytorch/test/test_linalg.py", line 10199, in test_triu_tril_large_matrix_64bit
2025-12-04T10:26:33.2568623Z     self.assertEqual(num_zeros, expected_zeros)
2025-12-04T10:26:33.2569277Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:26:33.2569976Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:26:33.2570343Z AssertionError: Scalars are not equal!
2025-12-04T10:26:33.2570536Z 
2025-12-04T10:26:33.2570628Z Expected 42951 but got 0.
2025-12-04T10:26:33.2570868Z Absolute difference: 42951
2025-12-04T10:26:33.2571107Z Relative difference: 1.0
2025-12-04T10:26:33.2571249Z 
2025-12-04T10:26:33.2571419Z To execute this test, run the following from the base repo dir:
2025-12-04T10:26:33.2572020Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_linalg.py TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda
2025-12-04T10:26:33.2572457Z 
2025-12-04T10:26:33.2572668Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:26:33.2573189Z ____________ TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda _____________
2025-12-04T10:26:33.2573604Z Traceback (most recent call last):
2025-12-04T10:26:33.2574103Z   File "/var/lib/jenkins/pytorch/test/test_linalg.py", line 10199, in test_triu_tril_large_matrix_64bit
2025-12-04T10:26:33.2574642Z     self.assertEqual(num_zeros, expected_zeros)
2025-12-04T10:26:33.2575285Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:26:33.2575982Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:26:33.2576346Z AssertionError: Scalars are not equal!
2025-12-04T10:26:33.2576546Z 
2025-12-04T10:26:33.2576638Z Expected 42951 but got 0.
2025-12-04T10:26:33.2576876Z Absolute difference: 42951
2025-12-04T10:26:33.2577117Z Relative difference: 1.0
2025-12-04T10:26:33.2577267Z 
2025-12-04T10:26:33.2577490Z To execute this test, run the following from the base repo dir:
2025-12-04T10:26:33.2578121Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_linalg.py TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda
2025-12-04T10:26:33.2578565Z 
2025-12-04T10:26:33.2578771Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:26:33.2579292Z ____________ TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda _____________
2025-12-04T10:26:33.2579713Z Traceback (most recent call last):
2025-12-04T10:26:33.2580216Z   File "/var/lib/jenkins/pytorch/test/test_linalg.py", line 10199, in test_triu_tril_large_matrix_64bit
2025-12-04T10:26:33.2580763Z     self.assertEqual(num_zeros, expected_zeros)
2025-12-04T10:26:33.2581410Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:26:33.2582120Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:26:33.2582491Z AssertionError: Scalars are not equal!
2025-12-04T10:26:33.2582690Z 
2025-12-04T10:26:33.2582783Z Expected 42951 but got 0.
2025-12-04T10:26:33.2583020Z Absolute difference: 42951
2025-12-04T10:26:33.2583261Z Relative difference: 1.0
2025-12-04T10:26:33.2583410Z 
2025-12-04T10:26:33.2583576Z To execute this test, run the following from the base repo dir:
2025-12-04T10:26:33.2584179Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_linalg.py TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda
2025-12-04T10:26:33.2584625Z 
2025-12-04T10:26:33.2584831Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:26:33.2585354Z ____________ TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda _____________
2025-12-04T10:26:33.2585771Z Traceback (most recent call last):
2025-12-04T10:26:33.2586269Z   File "/var/lib/jenkins/pytorch/test/test_linalg.py", line 10199, in test_triu_tril_large_matrix_64bit
2025-12-04T10:26:33.2586861Z     self.assertEqual(num_zeros, expected_zeros)
2025-12-04T10:26:33.2587508Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:26:33.2588241Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:26:33.2588607Z AssertionError: Scalars are not equal!
2025-12-04T10:26:33.2588805Z 
2025-12-04T10:26:33.2588892Z Expected 42951 but got 0.
2025-12-04T10:26:33.2589130Z Absolute difference: 42951
2025-12-04T10:26:33.2589373Z Relative difference: 1.0
2025-12-04T10:26:33.2589519Z 
2025-12-04T10:26:33.2589689Z To execute this test, run the following from the base repo dir:
2025-12-04T10:26:33.2590296Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_linalg.py TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda
2025-12-04T10:26:33.2590744Z 
2025-12-04T10:26:33.2590950Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:26:33.2591473Z ____________ TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda _____________
2025-12-04T10:26:33.2591888Z Traceback (most recent call last):
2025-12-04T10:26:33.2592388Z   File "/var/lib/jenkins/pytorch/test/test_linalg.py", line 10199, in test_triu_tril_large_matrix_64bit
2025-12-04T10:26:33.2592931Z     self.assertEqual(num_zeros, expected_zeros)
2025-12-04T10:26:33.2593568Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:26:33.2594265Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:26:33.2594630Z AssertionError: Scalars are not equal!
2025-12-04T10:26:33.2594824Z 
2025-12-04T10:26:33.2594914Z Expected 42951 but got 0.
2025-12-04T10:26:33.2595152Z Absolute difference: 42951
2025-12-04T10:26:33.2595390Z Relative difference: 1.0
2025-12-04T10:26:33.2595535Z 
2025-12-04T10:26:33.2595705Z To execute this test, run the following from the base repo dir:
2025-12-04T10:26:33.2596309Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_linalg.py TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda
2025-12-04T10:26:33.2596745Z 
2025-12-04T10:26:33.2597013Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:26:33.2597535Z ____________ TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda _____________
2025-12-04T10:26:33.2597952Z Traceback (most recent call last):
2025-12-04T10:26:33.2598479Z   File "/var/lib/jenkins/pytorch/test/test_linalg.py", line 10199, in test_triu_tril_large_matrix_64bit
2025-12-04T10:26:33.2599020Z     self.assertEqual(num_zeros, expected_zeros)
2025-12-04T10:26:33.2599660Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:26:33.2600354Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:26:33.2600719Z AssertionError: Scalars are not equal!
2025-12-04T10:26:33.2600916Z 
2025-12-04T10:26:33.2601007Z Expected 42951 but got 0.
2025-12-04T10:26:33.2601244Z Absolute difference: 42951
2025-12-04T10:26:33.2601483Z Relative difference: 1.0
2025-12-04T10:26:33.2601628Z 
2025-12-04T10:26:33.2601803Z To execute this test, run the following from the base repo dir:
2025-12-04T10:26:33.2602405Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_linalg.py TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda
2025-12-04T10:26:33.2602844Z 
2025-12-04T10:26:33.2603053Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:26:33.2603576Z ____________ TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda _____________
2025-12-04T10:26:33.2603993Z Traceback (most recent call last):
2025-12-04T10:26:33.2604492Z   File "/var/lib/jenkins/pytorch/test/test_linalg.py", line 10199, in test_triu_tril_large_matrix_64bit
2025-12-04T10:26:33.2605037Z     self.assertEqual(num_zeros, expected_zeros)
2025-12-04T10:26:33.2605681Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:26:33.2606447Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:26:33.2606817Z AssertionError: Scalars are not equal!
2025-12-04T10:26:33.2607017Z 
2025-12-04T10:26:33.2607102Z Expected 42951 but got 0.
2025-12-04T10:26:33.2607341Z Absolute difference: 42951
2025-12-04T10:26:33.2607582Z Relative difference: 1.0
2025-12-04T10:26:33.2607734Z 
2025-12-04T10:26:33.2607900Z To execute this test, run the following from the base repo dir:
2025-12-04T10:26:33.2608534Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_linalg.py TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda
2025-12-04T10:26:33.2608981Z 
2025-12-04T10:26:33.2609185Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:26:33.2609710Z ____________ TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda _____________
2025-12-04T10:26:33.2610128Z Traceback (most recent call last):
2025-12-04T10:26:33.2610633Z   File "/var/lib/jenkins/pytorch/test/test_linalg.py", line 10199, in test_triu_tril_large_matrix_64bit
2025-12-04T10:26:33.2611180Z     self.assertEqual(num_zeros, expected_zeros)
2025-12-04T10:26:33.2611824Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:26:33.2612519Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:26:33.2612884Z AssertionError: Scalars are not equal!
2025-12-04T10:26:33.2613083Z 
2025-12-04T10:26:33.2613171Z Expected 42951 but got 0.
2025-12-04T10:26:33.2613408Z Absolute difference: 42951
2025-12-04T10:26:33.2613647Z Relative difference: 1.0
2025-12-04T10:26:33.2613800Z 
2025-12-04T10:26:33.2613969Z To execute this test, run the following from the base repo dir:
2025-12-04T10:26:33.2614617Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_linalg.py TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda
2025-12-04T10:26:33.2615064Z 
2025-12-04T10:26:33.2615267Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:26:33.2615786Z ____________ TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda _____________
2025-12-04T10:26:33.2616254Z Traceback (most recent call last):
2025-12-04T10:26:33.2616754Z   File "/var/lib/jenkins/pytorch/test/test_linalg.py", line 10199, in test_triu_tril_large_matrix_64bit
2025-12-04T10:26:33.2617293Z     self.assertEqual(num_zeros, expected_zeros)
2025-12-04T10:26:33.2617937Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:26:33.2618668Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:26:33.2619033Z AssertionError: Scalars are not equal!
2025-12-04T10:26:33.2619233Z 
2025-12-04T10:26:33.2619322Z Expected 42951 but got 0.
2025-12-04T10:26:33.2619561Z Absolute difference: 42951
2025-12-04T10:26:33.2619798Z Relative difference: 1.0
2025-12-04T10:26:33.2619949Z 
2025-12-04T10:26:33.2620118Z To execute this test, run the following from the base repo dir:
2025-12-04T10:26:33.2620744Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_linalg.py TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda
2025-12-04T10:26:33.2621226Z 
2025-12-04T10:26:33.2621434Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:26:33.2621956Z ____________ TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda _____________
2025-12-04T10:26:33.2622372Z Traceback (most recent call last):
2025-12-04T10:26:33.2622869Z   File "/var/lib/jenkins/pytorch/test/test_linalg.py", line 10199, in test_triu_tril_large_matrix_64bit
2025-12-04T10:26:33.2623416Z     self.assertEqual(num_zeros, expected_zeros)
2025-12-04T10:26:33.2624058Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:26:33.2624755Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:26:33.2625178Z AssertionError: Scalars are not equal!
2025-12-04T10:26:33.2625372Z 
2025-12-04T10:26:33.2625466Z Expected 42951 but got 0.
2025-12-04T10:26:33.2625703Z Absolute difference: 42951
2025-12-04T10:26:33.2625945Z Relative difference: 1.0
2025-12-04T10:26:33.2626097Z 
2025-12-04T10:26:33.2626268Z To execute this test, run the following from the base repo dir:
2025-12-04T10:26:33.2626893Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_linalg.py TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda
2025-12-04T10:26:33.2627327Z 
2025-12-04T10:26:33.2627534Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:26:33.2628050Z ____________ TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda _____________
2025-12-04T10:26:33.2628510Z Traceback (most recent call last):
2025-12-04T10:26:33.2629009Z   File "/var/lib/jenkins/pytorch/test/test_linalg.py", line 10199, in test_triu_tril_large_matrix_64bit
2025-12-04T10:26:33.2629551Z     self.assertEqual(num_zeros, expected_zeros)
2025-12-04T10:26:33.2630202Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:26:33.2630904Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:26:33.2631273Z AssertionError: Scalars are not equal!
2025-12-04T10:26:33.2631467Z 
2025-12-04T10:26:33.2631556Z Expected 42951 but got 0.
2025-12-04T10:26:33.2631791Z Absolute difference: 42951
2025-12-04T10:26:33.2632026Z Relative difference: 1.0
2025-12-04T10:26:33.2632172Z 
2025-12-04T10:26:33.2632339Z To execute this test, run the following from the base repo dir:
2025-12-04T10:26:33.2632932Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_linalg.py TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda
2025-12-04T10:26:33.2633370Z 
2025-12-04T10:26:33.2633574Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:26:33.2634090Z ____________ TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda _____________
2025-12-04T10:26:33.2634507Z Traceback (most recent call last):
2025-12-04T10:26:33.2634996Z   File "/var/lib/jenkins/pytorch/test/test_linalg.py", line 10199, in test_triu_tril_large_matrix_64bit
2025-12-04T10:26:33.2635590Z     self.assertEqual(num_zeros, expected_zeros)
2025-12-04T10:26:33.2636224Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:26:33.2636911Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:26:33.2637274Z AssertionError: Scalars are not equal!
2025-12-04T10:26:33.2637473Z 
2025-12-04T10:26:33.2637560Z Expected 42951 but got 0.
2025-12-04T10:26:33.2637800Z Absolute difference: 42951
2025-12-04T10:26:33.2638037Z Relative difference: 1.0
2025-12-04T10:26:33.2638225Z 
2025-12-04T10:26:33.2638395Z To execute this test, run the following from the base repo dir:
2025-12-04T10:26:33.2639018Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_linalg.py TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda
2025-12-04T10:26:33.2639466Z 
2025-12-04T10:26:33.2639670Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:26:33.2640196Z ____________ TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda _____________
2025-12-04T10:26:33.2640614Z Traceback (most recent call last):
2025-12-04T10:26:33.2641108Z   File "/var/lib/jenkins/pytorch/test/test_linalg.py", line 10199, in test_triu_tril_large_matrix_64bit
2025-12-04T10:26:33.2641651Z     self.assertEqual(num_zeros, expected_zeros)
2025-12-04T10:26:33.2642292Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:26:33.2642988Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:26:33.2643353Z AssertionError: Scalars are not equal!
2025-12-04T10:26:33.2643551Z 
2025-12-04T10:26:33.2643638Z Expected 42951 but got 0.
2025-12-04T10:26:33.2643875Z Absolute difference: 42951
2025-12-04T10:26:33.2644175Z Relative difference: 1.0
2025-12-04T10:26:33.2644325Z 
2025-12-04T10:26:33.2644490Z To execute this test, run the following from the base repo dir:
2025-12-04T10:26:33.2645114Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_linalg.py TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda
2025-12-04T10:26:33.2645558Z 
2025-12-04T10:26:33.2645762Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:26:33.2646281Z ____________ TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda _____________
2025-12-04T10:26:33.2646697Z Traceback (most recent call last):
2025-12-04T10:26:33.2647191Z   File "/var/lib/jenkins/pytorch/test/test_linalg.py", line 10199, in test_triu_tril_large_matrix_64bit
2025-12-04T10:26:33.2647729Z     self.assertEqual(num_zeros, expected_zeros)
2025-12-04T10:26:33.2648404Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:26:33.2649102Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:26:33.2649474Z AssertionError: Scalars are not equal!
2025-12-04T10:26:33.2649672Z 
2025-12-04T10:26:33.2649760Z Expected 42951 but got 0.
2025-12-04T10:26:33.2649998Z Absolute difference: 42951
2025-12-04T10:26:33.2650241Z Relative difference: 1.0
2025-12-04T10:26:33.2650387Z 
2025-12-04T10:26:33.2650560Z To execute this test, run the following from the base repo dir:
2025-12-04T10:26:33.2651156Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_linalg.py TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda
2025-12-04T10:26:33.2651592Z 
2025-12-04T10:26:33.2651801Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:26:33.2652322Z ____________ TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda _____________
2025-12-04T10:26:33.2652738Z Traceback (most recent call last):
2025-12-04T10:26:33.2653234Z   File "/var/lib/jenkins/pytorch/test/test_linalg.py", line 10199, in test_triu_tril_large_matrix_64bit
2025-12-04T10:26:33.2653784Z     self.assertEqual(num_zeros, expected_zeros)
2025-12-04T10:26:33.2654429Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:26:33.2655193Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:26:33.2655561Z AssertionError: Scalars are not equal!
2025-12-04T10:26:33.2655756Z 
2025-12-04T10:26:33.2655848Z Expected 42951 but got 0.
2025-12-04T10:26:33.2656087Z Absolute difference: 42951
2025-12-04T10:26:33.2656326Z Relative difference: 1.0
2025-12-04T10:26:33.2656472Z 
2025-12-04T10:26:33.2656648Z To execute this test, run the following from the base repo dir:
2025-12-04T10:26:33.2657258Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_linalg.py TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda
2025-12-04T10:26:33.2657705Z 
2025-12-04T10:26:33.2657915Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:26:33.2658472Z ____________ TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda _____________
2025-12-04T10:26:33.2658895Z Traceback (most recent call last):
2025-12-04T10:26:33.2659390Z   File "/var/lib/jenkins/pytorch/test/test_linalg.py", line 10199, in test_triu_tril_large_matrix_64bit
2025-12-04T10:26:33.2659934Z     self.assertEqual(num_zeros, expected_zeros)
2025-12-04T10:26:33.2660573Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:26:33.2661267Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:26:33.2661631Z AssertionError: Scalars are not equal!
2025-12-04T10:26:33.2661826Z 
2025-12-04T10:26:33.2661918Z Expected 42951 but got 0.
2025-12-04T10:26:33.2662158Z Absolute difference: 42951
2025-12-04T10:26:33.2662398Z Relative difference: 1.0
2025-12-04T10:26:33.2662544Z 
2025-12-04T10:26:33.2662713Z To execute this test, run the following from the base repo dir:
2025-12-04T10:26:33.2663300Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_linalg.py TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda
2025-12-04T10:26:33.2663813Z 
2025-12-04T10:26:33.2664021Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:26:33.2664546Z ____________ TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda _____________
2025-12-04T10:26:33.2664957Z Traceback (most recent call last):
2025-12-04T10:26:33.2665456Z   File "/var/lib/jenkins/pytorch/test/test_linalg.py", line 10199, in test_triu_tril_large_matrix_64bit
2025-12-04T10:26:33.2666004Z     self.assertEqual(num_zeros, expected_zeros)
2025-12-04T10:26:33.2666651Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:26:33.2667351Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:26:33.2667719Z AssertionError: Scalars are not equal!
2025-12-04T10:26:33.2667919Z 
2025-12-04T10:26:33.2668005Z Expected 42951 but got 0.
2025-12-04T10:26:33.2668279Z Absolute difference: 42951
2025-12-04T10:26:33.2668517Z Relative difference: 1.0
2025-12-04T10:26:33.2668669Z 
2025-12-04T10:26:33.2668835Z To execute this test, run the following from the base repo dir:
2025-12-04T10:26:33.2669473Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_linalg.py TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda
2025-12-04T10:26:33.2669956Z 
2025-12-04T10:26:33.2670162Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:26:33.2670689Z ____________ TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda _____________
2025-12-04T10:26:33.2671105Z Traceback (most recent call last):
2025-12-04T10:26:33.2671603Z   File "/var/lib/jenkins/pytorch/test/test_linalg.py", line 10199, in test_triu_tril_large_matrix_64bit
2025-12-04T10:26:33.2672143Z     self.assertEqual(num_zeros, expected_zeros)
2025-12-04T10:26:33.2672788Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:26:33.2673492Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:26:33.2673862Z AssertionError: Scalars are not equal!
2025-12-04T10:26:33.2674060Z 
2025-12-04T10:26:33.2674147Z Expected 42951 but got 0.
2025-12-04T10:26:33.2674470Z Absolute difference: 42951
2025-12-04T10:26:33.2674713Z Relative difference: 1.0
2025-12-04T10:26:33.2674863Z 
2025-12-04T10:26:33.2675029Z To execute this test, run the following from the base repo dir:
2025-12-04T10:26:33.2675664Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_linalg.py TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda
2025-12-04T10:26:33.2676105Z 
2025-12-04T10:26:33.2676310Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:26:33.2676833Z ____________ TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda _____________
2025-12-04T10:26:33.2677250Z Traceback (most recent call last):
2025-12-04T10:26:33.2677748Z   File "/var/lib/jenkins/pytorch/test/test_linalg.py", line 10199, in test_triu_tril_large_matrix_64bit
2025-12-04T10:26:33.2678330Z     self.assertEqual(num_zeros, expected_zeros)
2025-12-04T10:26:33.2678980Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:26:33.2679680Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:26:33.2680048Z AssertionError: Scalars are not equal!
2025-12-04T10:26:33.2680247Z 
2025-12-04T10:26:33.2680335Z Expected 42951 but got 0.
2025-12-04T10:26:33.2680574Z Absolute difference: 42951
2025-12-04T10:26:33.2680815Z Relative difference: 1.0
2025-12-04T10:26:33.2680964Z 
2025-12-04T10:26:33.2681140Z To execute this test, run the following from the base repo dir:
2025-12-04T10:26:33.2681773Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_linalg.py TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda
2025-12-04T10:26:33.2682211Z 
2025-12-04T10:26:33.2682421Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:26:33.2683014Z ____________ TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda _____________
2025-12-04T10:26:33.2683430Z Traceback (most recent call last):
2025-12-04T10:26:33.2683931Z   File "/var/lib/jenkins/pytorch/test/test_linalg.py", line 10199, in test_triu_tril_large_matrix_64bit
2025-12-04T10:26:33.2684477Z     self.assertEqual(num_zeros, expected_zeros)
2025-12-04T10:26:33.2685122Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:26:33.2685827Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:26:33.2686195Z AssertionError: Scalars are not equal!
2025-12-04T10:26:33.2686391Z 
2025-12-04T10:26:33.2686486Z Expected 42951 but got 0.
2025-12-04T10:26:33.2686725Z Absolute difference: 42951
2025-12-04T10:26:33.2686964Z Relative difference: 1.0
2025-12-04T10:26:33.2687110Z 
2025-12-04T10:26:33.2687283Z To execute this test, run the following from the base repo dir:
2025-12-04T10:26:33.2687921Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_linalg.py TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda
2025-12-04T10:26:33.2688395Z 
2025-12-04T10:26:33.2688607Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:26:33.2689131Z ____________ TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda _____________
2025-12-04T10:26:33.2689549Z Traceback (most recent call last):
2025-12-04T10:26:33.2690051Z   File "/var/lib/jenkins/pytorch/test/test_linalg.py", line 10199, in test_triu_tril_large_matrix_64bit
2025-12-04T10:26:33.2690591Z     self.assertEqual(num_zeros, expected_zeros)
2025-12-04T10:26:33.2691237Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:26:33.2691940Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:26:33.2692309Z AssertionError: Scalars are not equal!
2025-12-04T10:26:33.2692503Z 
2025-12-04T10:26:33.2692599Z Expected 42951 but got 0.
2025-12-04T10:26:33.2692839Z Absolute difference: 42951
2025-12-04T10:26:33.2693076Z Relative difference: 1.0
2025-12-04T10:26:33.2693227Z 
2025-12-04T10:26:33.2693470Z To execute this test, run the following from the base repo dir:
2025-12-04T10:26:33.2694077Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_linalg.py TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda
2025-12-04T10:26:33.2694521Z 
2025-12-04T10:26:33.2694729Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:26:33.2695247Z ____________ TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda _____________
2025-12-04T10:26:33.2695660Z Traceback (most recent call last):
2025-12-04T10:26:33.2696158Z   File "/var/lib/jenkins/pytorch/test/test_linalg.py", line 10199, in test_triu_tril_large_matrix_64bit
2025-12-04T10:26:33.2696698Z     self.assertEqual(num_zeros, expected_zeros)
2025-12-04T10:26:33.2697337Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:26:33.2698038Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:26:33.2698434Z AssertionError: Scalars are not equal!
2025-12-04T10:26:33.2698633Z 
2025-12-04T10:26:33.2698728Z Expected 42951 but got 0.
2025-12-04T10:26:33.2698970Z Absolute difference: 42951
2025-12-04T10:26:33.2699210Z Relative difference: 1.0
2025-12-04T10:26:33.2699363Z 
2025-12-04T10:26:33.2699531Z To execute this test, run the following from the base repo dir:
2025-12-04T10:26:33.2700126Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_linalg.py TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda
2025-12-04T10:26:33.2700568Z 
2025-12-04T10:26:33.2700773Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:26:33.2701293Z ____________ TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda _____________
2025-12-04T10:26:33.2701708Z Traceback (most recent call last):
2025-12-04T10:26:33.2702274Z   File "/var/lib/jenkins/pytorch/test/test_linalg.py", line 10199, in test_triu_tril_large_matrix_64bit
2025-12-04T10:26:33.2702819Z     self.assertEqual(num_zeros, expected_zeros)
2025-12-04T10:26:33.2703465Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:26:33.2704160Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:26:33.2704524Z AssertionError: Scalars are not equal!
2025-12-04T10:26:33.2704725Z 
2025-12-04T10:26:33.2704813Z Expected 42951 but got 0.
2025-12-04T10:26:33.2705048Z Absolute difference: 42951
2025-12-04T10:26:33.2705291Z Relative difference: 1.0
2025-12-04T10:26:33.2705442Z 
2025-12-04T10:26:33.2705611Z To execute this test, run the following from the base repo dir:
2025-12-04T10:26:33.2706242Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_linalg.py TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda
2025-12-04T10:26:33.2706681Z 
2025-12-04T10:26:33.2706885Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:26:33.2707418Z ____________ TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda _____________
2025-12-04T10:26:33.2707834Z Traceback (most recent call last):
2025-12-04T10:26:33.2708371Z   File "/var/lib/jenkins/pytorch/test/test_linalg.py", line 10199, in test_triu_tril_large_matrix_64bit
2025-12-04T10:26:33.2708909Z     self.assertEqual(num_zeros, expected_zeros)
2025-12-04T10:26:33.2709559Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:26:33.2710263Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:26:33.2710630Z AssertionError: Scalars are not equal!
2025-12-04T10:26:33.2710825Z 
2025-12-04T10:26:33.2710916Z Expected 42951 but got 0.
2025-12-04T10:26:33.2711158Z Absolute difference: 42951
2025-12-04T10:26:33.2724724Z Relative difference: 1.0
2025-12-04T10:26:33.2724921Z 
2025-12-04T10:26:33.2725117Z To execute this test, run the following from the base repo dir:
2025-12-04T10:26:33.2725728Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_linalg.py TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda
2025-12-04T10:26:33.2726170Z 
2025-12-04T10:26:33.2726508Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:26:33.2727045Z ____________ TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda _____________
2025-12-04T10:26:33.2727473Z Traceback (most recent call last):
2025-12-04T10:26:33.2727983Z   File "/var/lib/jenkins/pytorch/test/test_linalg.py", line 10199, in test_triu_tril_large_matrix_64bit
2025-12-04T10:26:33.2728595Z     self.assertEqual(num_zeros, expected_zeros)
2025-12-04T10:26:33.2729256Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:26:33.2729966Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:26:33.2730346Z AssertionError: Scalars are not equal!
2025-12-04T10:26:33.2730549Z 
2025-12-04T10:26:33.2730647Z Expected 42951 but got 0.
2025-12-04T10:26:33.2730894Z Absolute difference: 42951
2025-12-04T10:26:33.2731146Z Relative difference: 1.0
2025-12-04T10:26:33.2731306Z 
2025-12-04T10:26:33.2731484Z To execute this test, run the following from the base repo dir:
2025-12-04T10:26:33.2732092Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_linalg.py TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda
2025-12-04T10:26:33.2732538Z 
2025-12-04T10:26:33.2732700Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:26:33.2733078Z ____________ TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda _____________
2025-12-04T10:26:33.2733290Z Traceback (most recent call last):
2025-12-04T10:26:33.2733540Z   File "/var/lib/jenkins/pytorch/test/test_linalg.py", line 10199, in test_triu_tril_large_matrix_64bit
2025-12-04T10:26:33.2733814Z     self.assertEqual(num_zeros, expected_zeros)
2025-12-04T10:26:33.2734184Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:26:33.2734529Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:26:33.2734717Z AssertionError: Scalars are not equal!
2025-12-04T10:26:33.2734813Z 
2025-12-04T10:26:33.2734857Z Expected 42951 but got 0.
2025-12-04T10:26:33.2734980Z Absolute difference: 42951
2025-12-04T10:26:33.2735103Z Relative difference: 1.0
2025-12-04T10:26:33.2735181Z 
2025-12-04T10:26:33.2735264Z To execute this test, run the following from the base repo dir:
2025-12-04T10:26:33.2735560Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_linalg.py TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda
2025-12-04T10:26:33.2735782Z 
2025-12-04T10:26:33.2735883Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:26:33.2736143Z ____________ TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda _____________
2025-12-04T10:26:33.2736352Z Traceback (most recent call last):
2025-12-04T10:26:33.2736601Z   File "/var/lib/jenkins/pytorch/test/test_linalg.py", line 10199, in test_triu_tril_large_matrix_64bit
2025-12-04T10:26:33.2736871Z     self.assertEqual(num_zeros, expected_zeros)
2025-12-04T10:26:33.2737194Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:26:33.2737537Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:26:33.2737722Z AssertionError: Scalars are not equal!
2025-12-04T10:26:33.2737823Z 
2025-12-04T10:26:33.2737867Z Expected 42951 but got 0.
2025-12-04T10:26:33.2737989Z Absolute difference: 42951
2025-12-04T10:26:33.2738155Z Relative difference: 1.0
2025-12-04T10:26:33.2738234Z 
2025-12-04T10:26:33.2738317Z To execute this test, run the following from the base repo dir:
2025-12-04T10:26:33.2738615Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_linalg.py TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda
2025-12-04T10:26:33.2738835Z 
2025-12-04T10:26:33.2738936Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:26:33.2739194Z ____________ TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda _____________
2025-12-04T10:26:33.2739447Z Traceback (most recent call last):
2025-12-04T10:26:33.2739696Z   File "/var/lib/jenkins/pytorch/test/test_linalg.py", line 10199, in test_triu_tril_large_matrix_64bit
2025-12-04T10:26:33.2739966Z     self.assertEqual(num_zeros, expected_zeros)
2025-12-04T10:26:33.2740287Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:26:33.2740630Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:26:33.2740809Z AssertionError: Scalars are not equal!
2025-12-04T10:26:33.2740904Z 
2025-12-04T10:26:33.2740956Z Expected 42951 but got 0.
2025-12-04T10:26:33.2741080Z Absolute difference: 42951
2025-12-04T10:26:33.2741204Z Relative difference: 1.0
2025-12-04T10:26:33.2741279Z 
2025-12-04T10:26:33.2741368Z To execute this test, run the following from the base repo dir:
2025-12-04T10:26:33.2741664Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_linalg.py TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda
2025-12-04T10:26:33.2741884Z 
2025-12-04T10:26:33.2741989Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:26:33.2742252Z ____________ TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda _____________
2025-12-04T10:26:33.2742461Z Traceback (most recent call last):
2025-12-04T10:26:33.2742707Z   File "/var/lib/jenkins/pytorch/test/test_linalg.py", line 10199, in test_triu_tril_large_matrix_64bit
2025-12-04T10:26:33.2742972Z     self.assertEqual(num_zeros, expected_zeros)
2025-12-04T10:26:33.2743288Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:26:33.2743633Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:26:33.2743860Z AssertionError: Scalars are not equal!
2025-12-04T10:26:33.2743957Z 
2025-12-04T10:26:33.2744007Z Expected 42951 but got 0.
2025-12-04T10:26:33.2744130Z Absolute difference: 42951
2025-12-04T10:26:33.2744253Z Relative difference: 1.0
2025-12-04T10:26:33.2744329Z 
2025-12-04T10:26:33.2744416Z To execute this test, run the following from the base repo dir:
2025-12-04T10:26:33.2744712Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_linalg.py TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda
2025-12-04T10:26:33.2744924Z 
2025-12-04T10:26:33.2745031Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:26:33.2745288Z ____________ TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda _____________
2025-12-04T10:26:33.2745497Z Traceback (most recent call last):
2025-12-04T10:26:33.2745745Z   File "/var/lib/jenkins/pytorch/test/test_linalg.py", line 10199, in test_triu_tril_large_matrix_64bit
2025-12-04T10:26:33.2746016Z     self.assertEqual(num_zeros, expected_zeros)
2025-12-04T10:26:33.2746335Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:26:33.2746680Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:26:33.2746862Z AssertionError: Scalars are not equal!
2025-12-04T10:26:33.2746959Z 
2025-12-04T10:26:33.2747008Z Expected 42951 but got 0.
2025-12-04T10:26:33.2747127Z Absolute difference: 42951
2025-12-04T10:26:33.2747253Z Relative difference: 1.0
2025-12-04T10:26:33.2747330Z 
2025-12-04T10:26:33.2747415Z To execute this test, run the following from the base repo dir:
2025-12-04T10:26:33.2747724Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_linalg.py TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda
2025-12-04T10:26:33.2747959Z 
2025-12-04T10:26:33.2748089Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:26:33.2748349Z ____________ TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda _____________
2025-12-04T10:26:33.2748560Z Traceback (most recent call last):
2025-12-04T10:26:33.2748805Z   File "/var/lib/jenkins/pytorch/test/test_linalg.py", line 10199, in test_triu_tril_large_matrix_64bit
2025-12-04T10:26:33.2749116Z     self.assertEqual(num_zeros, expected_zeros)
2025-12-04T10:26:33.2749438Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:26:33.2749783Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:26:33.2749967Z AssertionError: Scalars are not equal!
2025-12-04T10:26:33.2750067Z 
2025-12-04T10:26:33.2750111Z Expected 42951 but got 0.
2025-12-04T10:26:33.2750233Z Absolute difference: 42951
2025-12-04T10:26:33.2750357Z Relative difference: 1.0
2025-12-04T10:26:33.2750435Z 
2025-12-04T10:26:33.2750518Z To execute this test, run the following from the base repo dir:
2025-12-04T10:26:33.2750814Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_linalg.py TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda
2025-12-04T10:26:33.2751036Z 
2025-12-04T10:26:33.2751138Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:26:33.2751400Z ____________ TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda _____________
2025-12-04T10:26:33.2751607Z Traceback (most recent call last):
2025-12-04T10:26:33.2751853Z   File "/var/lib/jenkins/pytorch/test/test_linalg.py", line 10199, in test_triu_tril_large_matrix_64bit
2025-12-04T10:26:33.2752120Z     self.assertEqual(num_zeros, expected_zeros)
2025-12-04T10:26:33.2752438Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:26:33.2752782Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:26:33.2752967Z AssertionError: Scalars are not equal!
2025-12-04T10:26:33.2753065Z 
2025-12-04T10:26:33.2753107Z Expected 42951 but got 0.
2025-12-04T10:26:33.2753230Z Absolute difference: 42951
2025-12-04T10:26:33.2753388Z Relative difference: 1.0
2025-12-04T10:26:33.2753461Z 
2025-12-04T10:26:33.2753549Z To execute this test, run the following from the base repo dir:
2025-12-04T10:26:33.2753847Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_linalg.py TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda
2025-12-04T10:26:33.2754065Z 
2025-12-04T10:26:33.2754166Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:26:33.2754554Z - generated xml file: /var/lib/jenkins/pytorch/test/test-reports/python-pytest/test_linalg/test_linalg-80143c9123e0caae.xml -
2025-12-04T10:26:33.2754890Z =========================== short test summary info ============================
2025-12-04T10:26:33.2755211Z FAILED [0.2864s] test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda - AssertionError: Scalars are not equal!
2025-12-04T10:26:33.2755462Z 
2025-12-04T10:26:33.2755504Z Expected 42951 but got 0.
2025-12-04T10:26:33.2755621Z Absolute difference: 42951
2025-12-04T10:26:33.2755745Z Relative difference: 1.0
2025-12-04T10:26:33.2755819Z 
2025-12-04T10:26:33.2755902Z To execute this test, run the following from the base repo dir:
2025-12-04T10:26:33.2756195Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_linalg.py TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda
2025-12-04T10:26:33.2756414Z 
2025-12-04T10:26:33.2756514Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:26:33.2756862Z FAILED [0.1553s] test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda - AssertionError: Scalars are not equal!
2025-12-04T10:26:33.2757114Z 
2025-12-04T10:26:33.2757157Z Expected 42951 but got 0.
2025-12-04T10:26:33.2757279Z Absolute difference: 42951
2025-12-04T10:26:33.2757397Z Relative difference: 1.0
2025-12-04T10:26:33.2757473Z 
2025-12-04T10:26:33.2757555Z To execute this test, run the following from the base repo dir:
2025-12-04T10:26:33.2757849Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_linalg.py TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda
2025-12-04T10:26:33.2758109Z 
2025-12-04T10:26:33.2758209Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:26:33.2758599Z FAILED [0.1322s] test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda - AssertionError: Scalars are not equal!
2025-12-04T10:26:33.2758849Z 
2025-12-04T10:26:33.2758891Z Expected 42951 but got 0.
2025-12-04T10:26:33.2759009Z Absolute difference: 42951
2025-12-04T10:26:33.2759129Z Relative difference: 1.0
2025-12-04T10:26:33.2759207Z 
2025-12-04T10:26:33.2759289Z To execute this test, run the following from the base repo dir:
2025-12-04T10:26:33.2759579Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_linalg.py TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda
2025-12-04T10:26:33.2759793Z 
2025-12-04T10:26:33.2759892Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:26:33.2760236Z FAILED [0.1518s] test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda - AssertionError: Scalars are not equal!
2025-12-04T10:26:33.2760486Z 
2025-12-04T10:26:33.2760529Z Expected 42951 but got 0.
2025-12-04T10:26:33.2760648Z Absolute difference: 42951
2025-12-04T10:26:33.2760766Z Relative difference: 1.0
2025-12-04T10:26:33.2760846Z 
2025-12-04T10:26:33.2760928Z To execute this test, run the following from the base repo dir:
2025-12-04T10:26:33.2761221Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_linalg.py TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda
2025-12-04T10:26:33.2761437Z 
2025-12-04T10:26:33.2761536Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:26:33.2761882Z FAILED [0.1582s] test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda - AssertionError: Scalars are not equal!
2025-12-04T10:26:33.2762130Z 
2025-12-04T10:26:33.2762173Z Expected 42951 but got 0.
2025-12-04T10:26:33.2762292Z Absolute difference: 42951
2025-12-04T10:26:33.2762412Z Relative difference: 1.0
2025-12-04T10:26:33.2762530Z 
2025-12-04T10:26:33.2762612Z To execute this test, run the following from the base repo dir:
2025-12-04T10:26:33.2762920Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_linalg.py TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda
2025-12-04T10:26:33.2763137Z 
2025-12-04T10:26:33.2763240Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:26:33.2763585Z FAILED [0.1315s] test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda - AssertionError: Scalars are not equal!
2025-12-04T10:26:33.2763834Z 
2025-12-04T10:26:33.2763878Z Expected 42951 but got 0.
2025-12-04T10:26:33.2763996Z Absolute difference: 42951
2025-12-04T10:26:33.2764109Z Relative difference: 1.0
2025-12-04T10:26:33.2764178Z 
2025-12-04T10:26:33.2764261Z To execute this test, run the following from the base repo dir:
2025-12-04T10:26:33.2764546Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_linalg.py TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda
2025-12-04T10:26:33.2764755Z 
2025-12-04T10:26:33.2764856Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:26:33.2765196Z FAILED [0.7362s] test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda - AssertionError: Scalars are not equal!
2025-12-04T10:26:33.2765442Z 
2025-12-04T10:26:33.2765484Z Expected 42951 but got 0.
2025-12-04T10:26:33.2765595Z Absolute difference: 42951
2025-12-04T10:26:33.2765707Z Relative difference: 1.0
2025-12-04T10:26:33.2765778Z 
2025-12-04T10:26:33.2765858Z To execute this test, run the following from the base repo dir:
2025-12-04T10:26:33.2766143Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_linalg.py TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda
2025-12-04T10:26:33.2766355Z 
2025-12-04T10:26:33.2766453Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:26:33.2766796Z FAILED [1.1783s] test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda - AssertionError: Scalars are not equal!
2025-12-04T10:26:33.2767046Z 
2025-12-04T10:26:33.2767094Z Expected 42951 but got 0.
2025-12-04T10:26:33.2767215Z Absolute difference: 42951
2025-12-04T10:26:33.2767336Z Relative difference: 1.0
2025-12-04T10:26:33.2767408Z 
2025-12-04T10:26:33.2767518Z To execute this test, run the following from the base repo dir:
2025-12-04T10:26:33.2767823Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_linalg.py TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda
2025-12-04T10:26:33.2768033Z 
2025-12-04T10:26:33.2768163Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:26:33.2768517Z FAILED [1.1786s] test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda - AssertionError: Scalars are not equal!
2025-12-04T10:26:33.2768773Z 
2025-12-04T10:26:33.2768818Z Expected 42951 but got 0.
2025-12-04T10:26:33.2768933Z Absolute difference: 42951
2025-12-04T10:26:33.2769049Z Relative difference: 1.0
2025-12-04T10:26:33.2769119Z 
2025-12-04T10:26:33.2769204Z To execute this test, run the following from the base repo dir:
2025-12-04T10:26:33.2769510Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_linalg.py TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda
2025-12-04T10:26:33.2769734Z 
2025-12-04T10:26:33.2769841Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:26:33.2770184Z FAILED [1.1787s] test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda - AssertionError: Scalars are not equal!
2025-12-04T10:26:33.2770433Z 
2025-12-04T10:26:33.2770481Z Expected 42951 but got 0.
2025-12-04T10:26:33.2770598Z Absolute difference: 42951
2025-12-04T10:26:33.2770716Z Relative difference: 1.0
2025-12-04T10:26:33.2770787Z 
2025-12-04T10:26:33.2770872Z To execute this test, run the following from the base repo dir:
2025-12-04T10:26:33.2771162Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_linalg.py TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda
2025-12-04T10:26:33.2771374Z 
2025-12-04T10:26:33.2771474Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:26:33.2771859Z FAILED [1.1784s] test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda - AssertionError: Scalars are not equal!
2025-12-04T10:26:33.2772103Z 
2025-12-04T10:26:33.2772153Z Expected 42951 but got 0.
2025-12-04T10:26:33.2772275Z Absolute difference: 42951
2025-12-04T10:26:33.2772396Z Relative difference: 1.0
2025-12-04T10:26:33.2772467Z 
2025-12-04T10:26:33.2772553Z To execute this test, run the following from the base repo dir:
2025-12-04T10:26:33.2772846Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_linalg.py TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda
2025-12-04T10:26:33.2773061Z 
2025-12-04T10:26:33.2773164Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:26:33.2773511Z FAILED [1.1786s] test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda - AssertionError: Scalars are not equal!
2025-12-04T10:26:33.2773759Z 
2025-12-04T10:26:33.2773806Z Expected 42951 but got 0.
2025-12-04T10:26:33.2773931Z Absolute difference: 42951
2025-12-04T10:26:33.2774050Z Relative difference: 1.0
2025-12-04T10:26:33.2774120Z 
2025-12-04T10:26:33.2774205Z To execute this test, run the following from the base repo dir:
2025-12-04T10:26:33.2774505Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_linalg.py TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda
2025-12-04T10:26:33.2774717Z 
2025-12-04T10:26:33.2774822Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:26:33.2775166Z FAILED [1.1781s] test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda - AssertionError: Scalars are not equal!
2025-12-04T10:26:33.2775412Z 
2025-12-04T10:26:33.2775461Z Expected 42951 but got 0.
2025-12-04T10:26:33.2775581Z Absolute difference: 42951
2025-12-04T10:26:33.2775702Z Relative difference: 1.0
2025-12-04T10:26:33.2775774Z 
2025-12-04T10:26:33.2775860Z To execute this test, run the following from the base repo dir:
2025-12-04T10:26:33.2776165Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_linalg.py TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda
2025-12-04T10:26:33.2776378Z 
2025-12-04T10:26:33.2776482Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:26:33.2776876Z FAILED [1.1782s] test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda - AssertionError: Scalars are not equal!
2025-12-04T10:26:33.2777123Z 
2025-12-04T10:26:33.2777173Z Expected 42951 but got 0.
2025-12-04T10:26:33.2777294Z Absolute difference: 42951
2025-12-04T10:26:33.2777416Z Relative difference: 1.0
2025-12-04T10:26:33.2777488Z 
2025-12-04T10:26:33.2777574Z To execute this test, run the following from the base repo dir:
2025-12-04T10:26:33.2777864Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_linalg.py TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda
2025-12-04T10:26:33.2778115Z 
2025-12-04T10:26:33.2778222Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:26:33.2778571Z FAILED [1.1786s] test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda - AssertionError: Scalars are not equal!
2025-12-04T10:26:33.2778818Z 
2025-12-04T10:26:33.2778866Z Expected 42951 but got 0.
2025-12-04T10:26:33.2778987Z Absolute difference: 42951
2025-12-04T10:26:33.2779115Z Relative difference: 1.0
2025-12-04T10:26:33.2779186Z 
2025-12-04T10:26:33.2779272Z To execute this test, run the following from the base repo dir:
2025-12-04T10:26:33.2779562Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_linalg.py TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda
2025-12-04T10:26:33.2779777Z 
2025-12-04T10:26:33.2779880Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:26:33.2780223Z FAILED [1.1782s] test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda - AssertionError: Scalars are not equal!
2025-12-04T10:26:33.2780467Z 
2025-12-04T10:26:33.2780516Z Expected 42951 but got 0.
2025-12-04T10:26:33.2780637Z Absolute difference: 42951
2025-12-04T10:26:33.2780753Z Relative difference: 1.0
2025-12-04T10:26:33.2780876Z 
2025-12-04T10:26:33.2780958Z To execute this test, run the following from the base repo dir:
2025-12-04T10:26:33.2781272Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_linalg.py TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda
2025-12-04T10:26:33.2781485Z 
2025-12-04T10:26:33.2781584Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:26:33.2781928Z FAILED [1.1787s] test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda - AssertionError: Scalars are not equal!
2025-12-04T10:26:33.2782178Z 
2025-12-04T10:26:33.2782227Z Expected 42951 but got 0.
2025-12-04T10:26:33.2782344Z Absolute difference: 42951
2025-12-04T10:26:33.2782464Z Relative difference: 1.0
2025-12-04T10:26:33.2782539Z 
2025-12-04T10:26:33.2782621Z To execute this test, run the following from the base repo dir:
2025-12-04T10:26:33.2782915Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_linalg.py TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda
2025-12-04T10:26:33.2783134Z 
2025-12-04T10:26:33.2783233Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:26:33.2783581Z FAILED [1.1783s] test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda - AssertionError: Scalars are not equal!
2025-12-04T10:26:33.2783831Z 
2025-12-04T10:26:33.2783875Z Expected 42951 but got 0.
2025-12-04T10:26:33.2783994Z Absolute difference: 42951
2025-12-04T10:26:33.2784118Z Relative difference: 1.0
2025-12-04T10:26:33.2784195Z 
2025-12-04T10:26:33.2784277Z To execute this test, run the following from the base repo dir:
2025-12-04T10:26:33.2784586Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_linalg.py TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda
2025-12-04T10:26:33.2784802Z 
2025-12-04T10:26:33.2784903Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:26:33.2785255Z FAILED [1.1786s] test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda - AssertionError: Scalars are not equal!
2025-12-04T10:26:33.2785510Z 
2025-12-04T10:26:33.2785553Z Expected 42951 but got 0.
2025-12-04T10:26:33.2785674Z Absolute difference: 42951
2025-12-04T10:26:33.2785795Z Relative difference: 1.0
2025-12-04T10:26:33.2785871Z 
2025-12-04T10:26:33.2785994Z To execute this test, run the following from the base repo dir:
2025-12-04T10:26:33.2786304Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_linalg.py TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda
2025-12-04T10:26:33.2786541Z 
2025-12-04T10:26:33.2786650Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:26:33.2786998Z FAILED [1.1788s] test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda - AssertionError: Scalars are not equal!
2025-12-04T10:26:33.2787251Z 
2025-12-04T10:26:33.2787294Z Expected 42951 but got 0.
2025-12-04T10:26:33.2787416Z Absolute difference: 42951
2025-12-04T10:26:33.2787537Z Relative difference: 1.0
2025-12-04T10:26:33.2787613Z 
2025-12-04T10:26:33.2787698Z To execute this test, run the following from the base repo dir:
2025-12-04T10:26:33.2787993Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_linalg.py TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda
2025-12-04T10:26:33.2788252Z 
2025-12-04T10:26:33.2788359Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:26:33.2788705Z FAILED [1.1781s] test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda - AssertionError: Scalars are not equal!
2025-12-04T10:26:33.2788954Z 
2025-12-04T10:26:33.2788997Z Expected 42951 but got 0.
2025-12-04T10:26:33.2789118Z Absolute difference: 42951
2025-12-04T10:26:33.2789242Z Relative difference: 1.0
2025-12-04T10:26:33.2789318Z 
2025-12-04T10:26:33.2789400Z To execute this test, run the following from the base repo dir:
2025-12-04T10:26:33.2789695Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_linalg.py TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda
2025-12-04T10:26:33.2789923Z 
2025-12-04T10:26:33.2790036Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:26:33.2790428Z FAILED [1.1787s] test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda - AssertionError: Scalars are not equal!
2025-12-04T10:26:33.2790683Z 
2025-12-04T10:26:33.2790733Z Expected 42951 but got 0.
2025-12-04T10:26:33.2790853Z Absolute difference: 42951
2025-12-04T10:26:33.2790977Z Relative difference: 1.0
2025-12-04T10:26:33.2791056Z 
2025-12-04T10:26:33.2791138Z To execute this test, run the following from the base repo dir:
2025-12-04T10:26:33.2791461Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_linalg.py TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda
2025-12-04T10:26:33.2791698Z 
2025-12-04T10:26:33.2791884Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:26:33.2792275Z FAILED [1.1783s] test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda - AssertionError: Scalars are not equal!
2025-12-04T10:26:33.2792536Z 
2025-12-04T10:26:33.2792657Z Expected 42951 but got 0.
2025-12-04T10:26:33.2792791Z Absolute difference: 42951
2025-12-04T10:26:33.2792910Z Relative difference: 1.0
2025-12-04T10:26:33.2792988Z 
2025-12-04T10:26:33.2793069Z To execute this test, run the following from the base repo dir:
2025-12-04T10:26:33.2793386Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_linalg.py TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda
2025-12-04T10:26:33.2793709Z 
2025-12-04T10:26:33.2793910Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:26:33.2794267Z FAILED [1.1781s] test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda - AssertionError: Scalars are not equal!
2025-12-04T10:26:33.2794521Z 
2025-12-04T10:26:33.2794565Z Expected 42951 but got 0.
2025-12-04T10:26:33.2794687Z Absolute difference: 42951
2025-12-04T10:26:33.2794808Z Relative difference: 1.0
2025-12-04T10:26:33.2794884Z 
2025-12-04T10:26:33.2794966Z To execute this test, run the following from the base repo dir:
2025-12-04T10:26:33.2795262Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_linalg.py TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda
2025-12-04T10:26:33.2795477Z 
2025-12-04T10:26:33.2795577Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:26:33.2795975Z FAILED [1.1785s] test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda - AssertionError: Scalars are not equal!
2025-12-04T10:26:33.2796224Z 
2025-12-04T10:26:33.2796268Z Expected 42951 but got 0.
2025-12-04T10:26:33.2796388Z Absolute difference: 42951
2025-12-04T10:26:33.2796510Z Relative difference: 1.0
2025-12-04T10:26:33.2796586Z 
2025-12-04T10:26:33.2796669Z To execute this test, run the following from the base repo dir:
2025-12-04T10:26:33.2796962Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_linalg.py TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda
2025-12-04T10:26:33.2797180Z 
2025-12-04T10:26:33.2797279Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:26:33.2797631Z FAILED [1.1784s] test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda - AssertionError: Scalars are not equal!
2025-12-04T10:26:33.2797883Z 
2025-12-04T10:26:33.2797927Z Expected 42951 but got 0.
2025-12-04T10:26:33.2798052Z Absolute difference: 42951
2025-12-04T10:26:33.2798230Z Relative difference: 1.0
2025-12-04T10:26:33.2798307Z 
2025-12-04T10:26:33.2798389Z To execute this test, run the following from the base repo dir:
2025-12-04T10:26:33.2798680Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_linalg.py TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda
2025-12-04T10:26:33.2798895Z 
2025-12-04T10:26:33.2798995Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:26:33.2799340Z FAILED [1.1783s] test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda - AssertionError: Scalars are not equal!
2025-12-04T10:26:33.2799590Z 
2025-12-04T10:26:33.2799634Z Expected 42951 but got 0.
2025-12-04T10:26:33.2799753Z Absolute difference: 42951
2025-12-04T10:26:33.2799918Z Relative difference: 1.0
2025-12-04T10:26:33.2799993Z 
2025-12-04T10:26:33.2800075Z To execute this test, run the following from the base repo dir:
2025-12-04T10:26:33.2800372Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_linalg.py TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda
2025-12-04T10:26:33.2800589Z 
2025-12-04T10:26:33.2800688Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:26:33.2801035Z FAILED [1.1784s] test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda - AssertionError: Scalars are not equal!
2025-12-04T10:26:33.2801286Z 
2025-12-04T10:26:33.2801329Z Expected 42951 but got 0.
2025-12-04T10:26:33.2801451Z Absolute difference: 42951
2025-12-04T10:26:33.2801573Z Relative difference: 1.0
2025-12-04T10:26:33.2801649Z 
2025-12-04T10:26:33.2801732Z To execute this test, run the following from the base repo dir:
2025-12-04T10:26:33.2802024Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_linalg.py TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda
2025-12-04T10:26:33.2802247Z 
2025-12-04T10:26:33.2802347Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:26:33.2802697Z FAILED [1.1782s] test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda - AssertionError: Scalars are not equal!
2025-12-04T10:26:33.2802948Z 
2025-12-04T10:26:33.2802992Z Expected 42951 but got 0.
2025-12-04T10:26:33.2803111Z Absolute difference: 42951
2025-12-04T10:26:33.2803231Z Relative difference: 1.0
2025-12-04T10:26:33.2803306Z 
2025-12-04T10:26:33.2803387Z To execute this test, run the following from the base repo dir:
2025-12-04T10:26:33.2803678Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_linalg.py TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda
2025-12-04T10:26:33.2803898Z 
2025-12-04T10:26:33.2803997Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:26:33.2804342Z FAILED [1.1789s] test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda - AssertionError: Scalars are not equal!
2025-12-04T10:26:33.2804596Z 
2025-12-04T10:26:33.2804640Z Expected 42951 but got 0.
2025-12-04T10:26:33.2804761Z Absolute difference: 42951
2025-12-04T10:26:33.2804879Z Relative difference: 1.0
2025-12-04T10:26:33.2804987Z 
2025-12-04T10:26:33.2805069Z To execute this test, run the following from the base repo dir:
2025-12-04T10:26:33.2805358Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_linalg.py TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda
2025-12-04T10:26:33.2805575Z 
2025-12-04T10:26:33.2805675Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:26:33.2806017Z FAILED [1.1780s] test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda - AssertionError: Scalars are not equal!
2025-12-04T10:26:33.2806267Z 
2025-12-04T10:26:33.2806311Z Expected 42951 but got 0.
2025-12-04T10:26:33.2806431Z Absolute difference: 42951
2025-12-04T10:26:33.2806547Z Relative difference: 1.0
2025-12-04T10:26:33.2806620Z 
2025-12-04T10:26:33.2806704Z To execute this test, run the following from the base repo dir:
2025-12-04T10:26:33.2806993Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_linalg.py TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda
2025-12-04T10:26:33.2807210Z 
2025-12-04T10:26:33.2807308Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:26:33.2807647Z FAILED [1.1792s] test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda - AssertionError: Scalars are not equal!
2025-12-04T10:26:33.2807893Z 
2025-12-04T10:26:33.2807934Z Expected 42951 but got 0.
2025-12-04T10:26:33.2808047Z Absolute difference: 42951
2025-12-04T10:26:33.2808187Z Relative difference: 1.0
2025-12-04T10:26:33.2808256Z 
2025-12-04T10:26:33.2808339Z To execute this test, run the following from the base repo dir:
2025-12-04T10:26:33.2808638Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_linalg.py TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda
2025-12-04T10:26:33.2808882Z 
2025-12-04T10:26:33.2808981Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:26:33.2809319Z FAILED [1.1783s] test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda - AssertionError: Scalars are not equal!
2025-12-04T10:26:33.2809565Z 
2025-12-04T10:26:33.2809609Z Expected 42951 but got 0.
2025-12-04T10:26:33.2809721Z Absolute difference: 42951
2025-12-04T10:26:33.2809837Z Relative difference: 1.0
2025-12-04T10:26:33.2809906Z 
2025-12-04T10:26:33.2809989Z To execute this test, run the following from the base repo dir:
2025-12-04T10:26:33.2810281Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_linalg.py TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda
2025-12-04T10:26:33.2810491Z 
2025-12-04T10:26:33.2810591Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:26:33.2810938Z FAILED [1.1783s] test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda - AssertionError: Scalars are not equal!
2025-12-04T10:26:33.2811187Z 
2025-12-04T10:26:33.2811231Z Expected 42951 but got 0.
2025-12-04T10:26:33.2811348Z Absolute difference: 42951
2025-12-04T10:26:33.2811463Z Relative difference: 1.0
2025-12-04T10:26:33.2811533Z 
2025-12-04T10:26:33.2811619Z To execute this test, run the following from the base repo dir:
2025-12-04T10:26:33.2811906Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_linalg.py TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda
2025-12-04T10:26:33.2812116Z 
2025-12-04T10:26:33.2812216Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:26:33.2812555Z FAILED [1.1786s] test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda - AssertionError: Scalars are not equal!
2025-12-04T10:26:33.2812800Z 
2025-12-04T10:26:33.2812845Z Expected 42951 but got 0.
2025-12-04T10:26:33.2812959Z Absolute difference: 42951
2025-12-04T10:26:33.2813078Z Relative difference: 1.0
2025-12-04T10:26:33.2813149Z 
2025-12-04T10:26:33.2813233Z To execute this test, run the following from the base repo dir:
2025-12-04T10:26:33.2813524Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_linalg.py TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda
2025-12-04T10:26:33.2813733Z 
2025-12-04T10:26:33.2813877Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:26:33.2814221Z FAILED [1.1784s] test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda - AssertionError: Scalars are not equal!
2025-12-04T10:26:33.2814465Z 
2025-12-04T10:26:33.2814511Z Expected 42951 but got 0.
2025-12-04T10:26:33.2814626Z Absolute difference: 42951
2025-12-04T10:26:33.2814741Z Relative difference: 1.0
2025-12-04T10:26:33.2814811Z 
2025-12-04T10:26:33.2814893Z To execute this test, run the following from the base repo dir:
2025-12-04T10:26:33.2815180Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_linalg.py TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda
2025-12-04T10:26:33.2815391Z 
2025-12-04T10:26:33.2815491Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:26:33.2815838Z FAILED [1.1785s] test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda - AssertionError: Scalars are not equal!
2025-12-04T10:26:33.2816083Z 
2025-12-04T10:26:33.2816133Z Expected 42951 but got 0.
2025-12-04T10:26:33.2816250Z Absolute difference: 42951
2025-12-04T10:26:33.2816367Z Relative difference: 1.0
2025-12-04T10:26:33.2816437Z 
2025-12-04T10:26:33.2816521Z To execute this test, run the following from the base repo dir:
2025-12-04T10:26:33.2816810Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_linalg.py TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda
2025-12-04T10:26:33.2817021Z 
2025-12-04T10:26:33.2817122Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:26:33.2817314Z FAILED [1.1787s] test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda - AssertionError: Scalars are not equal!
2025-12-04T10:26:33.2817316Z 
2025-12-04T10:26:33.2817362Z Expected 42951 but got 0.
2025-12-04T10:26:33.2817432Z Absolute difference: 42951
2025-12-04T10:26:33.2817477Z Relative difference: 1.0
2025-12-04T10:26:33.2817479Z 
2025-12-04T10:26:33.2817559Z To execute this test, run the following from the base repo dir:
2025-12-04T10:26:33.2817739Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_linalg.py TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda
2025-12-04T10:26:33.2817741Z 
2025-12-04T10:26:33.2817840Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:26:33.2818034Z FAILED [1.1786s] test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda - AssertionError: Scalars are not equal!
2025-12-04T10:26:33.2818036Z 
2025-12-04T10:26:33.2818123Z Expected 42951 but got 0.
2025-12-04T10:26:33.2818169Z Absolute difference: 42951
2025-12-04T10:26:33.2818211Z Relative difference: 1.0
2025-12-04T10:26:33.2818212Z 
2025-12-04T10:26:33.2818296Z To execute this test, run the following from the base repo dir:
2025-12-04T10:26:33.2818452Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_linalg.py TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda
2025-12-04T10:26:33.2818460Z 
2025-12-04T10:26:33.2818558Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:26:33.2818756Z FAILED [1.1787s] test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda - AssertionError: Scalars are not equal!
2025-12-04T10:26:33.2818758Z 
2025-12-04T10:26:33.2818800Z Expected 42951 but got 0.
2025-12-04T10:26:33.2818845Z Absolute difference: 42951
2025-12-04T10:26:33.2818887Z Relative difference: 1.0
2025-12-04T10:26:33.2818889Z 
2025-12-04T10:26:33.2818974Z To execute this test, run the following from the base repo dir:
2025-12-04T10:26:33.2819129Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_linalg.py TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda
2025-12-04T10:26:33.2819131Z 
2025-12-04T10:26:33.2819231Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:26:33.2819421Z FAILED [1.1786s] test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda - AssertionError: Scalars are not equal!
2025-12-04T10:26:33.2819426Z 
2025-12-04T10:26:33.2819469Z Expected 42951 but got 0.
2025-12-04T10:26:33.2819511Z Absolute difference: 42951
2025-12-04T10:26:33.2819591Z Relative difference: 1.0
2025-12-04T10:26:33.2819593Z 
2025-12-04T10:26:33.2819675Z To execute this test, run the following from the base repo dir:
2025-12-04T10:26:33.2819850Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_linalg.py TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda
2025-12-04T10:26:33.2819852Z 
2025-12-04T10:26:33.2819959Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:26:33.2820151Z FAILED [1.1787s] test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda - AssertionError: Scalars are not equal!
2025-12-04T10:26:33.2820153Z 
2025-12-04T10:26:33.2820194Z Expected 42951 but got 0.
2025-12-04T10:26:33.2820242Z Absolute difference: 42951
2025-12-04T10:26:33.2820287Z Relative difference: 1.0
2025-12-04T10:26:33.2820289Z 
2025-12-04T10:26:33.2820374Z To execute this test, run the following from the base repo dir:
2025-12-04T10:26:33.2820533Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_linalg.py TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda
2025-12-04T10:26:33.2820537Z 
2025-12-04T10:26:33.2820635Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:26:33.2820827Z FAILED [1.1785s] test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda - AssertionError: Scalars are not equal!
2025-12-04T10:26:33.2820829Z 
2025-12-04T10:26:33.2820870Z Expected 42951 but got 0.
2025-12-04T10:26:33.2820916Z Absolute difference: 42951
2025-12-04T10:26:33.2820957Z Relative difference: 1.0
2025-12-04T10:26:33.2820958Z 
2025-12-04T10:26:33.2821040Z To execute this test, run the following from the base repo dir:
2025-12-04T10:26:33.2821195Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_linalg.py TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda
2025-12-04T10:26:33.2821226Z 
2025-12-04T10:26:33.2821326Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:26:33.2821520Z FAILED [1.1781s] test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda - AssertionError: Scalars are not equal!
2025-12-04T10:26:33.2821522Z 
2025-12-04T10:26:33.2821567Z Expected 42951 but got 0.
2025-12-04T10:26:33.2821609Z Absolute difference: 42951
2025-12-04T10:26:33.2821653Z Relative difference: 1.0
2025-12-04T10:26:33.2821654Z 
2025-12-04T10:26:33.2821735Z To execute this test, run the following from the base repo dir:
2025-12-04T10:26:33.2821893Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_linalg.py TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda
2025-12-04T10:26:33.2821895Z 
2025-12-04T10:26:33.2821993Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:26:33.2822185Z FAILED [1.1789s] test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda - AssertionError: Scalars are not equal!
2025-12-04T10:26:33.2822189Z 
2025-12-04T10:26:33.2822230Z Expected 42951 but got 0.
2025-12-04T10:26:33.2822276Z Absolute difference: 42951
2025-12-04T10:26:33.2822316Z Relative difference: 1.0
2025-12-04T10:26:33.2822318Z 
2025-12-04T10:26:33.2822402Z To execute this test, run the following from the base repo dir:
2025-12-04T10:26:33.2822562Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_linalg.py TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda
2025-12-04T10:26:33.2822564Z 
2025-12-04T10:26:33.2822661Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:26:33.2822853Z FAILED [1.1783s] test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda - AssertionError: Scalars are not equal!
2025-12-04T10:26:33.2822855Z 
2025-12-04T10:26:33.2822896Z Expected 42951 but got 0.
2025-12-04T10:26:33.2822939Z Absolute difference: 42951
2025-12-04T10:26:33.2822983Z Relative difference: 1.0
2025-12-04T10:26:33.2822984Z 
2025-12-04T10:26:33.2823071Z To execute this test, run the following from the base repo dir:
2025-12-04T10:26:33.2823243Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_linalg.py TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda
2025-12-04T10:26:33.2823244Z 
2025-12-04T10:26:33.2823378Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:26:33.2823566Z FAILED [1.1785s] test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda - AssertionError: Scalars are not equal!
2025-12-04T10:26:33.2823568Z 
2025-12-04T10:26:33.2823612Z Expected 42951 but got 0.
2025-12-04T10:26:33.2823655Z Absolute difference: 42951
2025-12-04T10:26:33.2823698Z Relative difference: 1.0
2025-12-04T10:26:33.2823700Z 
2025-12-04T10:26:33.2823779Z To execute this test, run the following from the base repo dir:
2025-12-04T10:26:33.2823937Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_linalg.py TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda
2025-12-04T10:26:33.2823939Z 
2025-12-04T10:26:33.2824038Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:26:33.2824233Z FAILED [1.1786s] test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda - AssertionError: Scalars are not equal!
2025-12-04T10:26:33.2824234Z 
2025-12-04T10:26:33.2824278Z Expected 42951 but got 0.
2025-12-04T10:26:33.2824322Z Absolute difference: 42951
2025-12-04T10:26:33.2824365Z Relative difference: 1.0
2025-12-04T10:26:33.2824370Z 
2025-12-04T10:26:33.2824449Z To execute this test, run the following from the base repo dir:
2025-12-04T10:26:33.2824606Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_linalg.py TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda
2025-12-04T10:26:33.2824608Z 
2025-12-04T10:26:33.2824707Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:26:33.2824900Z FAILED [1.1781s] test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda - AssertionError: Scalars are not equal!
2025-12-04T10:26:33.2824902Z 
2025-12-04T10:26:33.2824968Z Expected 42951 but got 0.
2025-12-04T10:26:33.2825013Z Absolute difference: 42951
2025-12-04T10:26:33.2825053Z Relative difference: 1.0
2025-12-04T10:26:33.2825055Z 
2025-12-04T10:26:33.2825142Z To execute this test, run the following from the base repo dir:
2025-12-04T10:26:33.2825311Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_linalg.py TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda
2025-12-04T10:26:33.2825313Z 
2025-12-04T10:26:33.2825415Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:26:33.2825604Z FAILED [1.1787s] test_linalg.py::TestLinalgCUDA::test_triu_tril_large_matrix_64bit_cuda - AssertionError: Scalars are not equal!
2025-12-04T10:26:33.2825605Z 
2025-12-04T10:26:33.2825649Z Expected 42951 but got 0.
2025-12-04T10:26:33.2825691Z Absolute difference: 42951
2025-12-04T10:26:33.2825735Z Relative difference: 1.0
2025-12-04T10:26:33.2825737Z 
2025-12-04T10:26:33.2825818Z To execute this test, run the following from the base repo dir:
2025-12-04T10:26:33.2825995Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_linalg.py TestLinalgCUDA.test_triu_tril_large_matrix_64bit_cuda
2025-12-04T10:26:33.2825996Z 
2025-12-04T10:26:33.2826096Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:26:33.2826174Z =================== 50 failed, 50 passed in 66.45s (0:01:06) ===================
2025-12-04T10:26:33.2826176Z 
2025-12-04T10:26:33.2826330Z FINISHED PRINTING LOG FILE of test_linalg 1/2 (test/test-reports/test_linalg_1.2_49f6a0a8d861d36f_.log)
2025-12-04T10:26:33.2826335Z 
2025-12-04T10:26:33.2826443Z Finished test_linalg 1/2 ... [2025-12-04 10:26:33.219665][4968775.71582341], took 1.18min
2025-12-04T10:26:33.2826760Z Parsing testcases for test report: /var/lib/jenkins/pytorch/test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-2a683b2ad952299a.xml
2025-12-04T10:26:33.2826861Z Failed to parse and upload json test reports: Unable to locate credentials
2025-12-04T10:26:33.2826980Z GITHUB_RUN_ID, GITHUB_RUN_ATTEMPT, or ARTIFACTS_FILE_SUFFIX not set, not uploading
2025-12-04T10:26:33.2827031Z Uploading artifacts took 0.00 seconds
2025-12-04T10:26:33.2827078Z test_linalg 1/2 failed!
2025-12-04T10:26:33.2827193Z Running test_modules 2/2 ... [2025-12-04 10:26:33.225276][4968775.721459148]
2025-12-04T10:26:33.2827249Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-12-04T10:26:33.2827701Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_modules.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 10:26:33.225765]
2025-12-04T10:26:44.8533199Z 
2025-12-04T10:26:44.8534424Z test_modules 2/2 was successful, full logs can be found in artifacts with path test/test-reports/test_modules_2.2_bcb29a313f99c1a3_.log
2025-12-04T10:26:44.8566089Z Running 50 items in this shard: test/test_modules.py::TestModuleCUDA::test_memory_format_nn_ConvTranspose2d_cuda_complex32, test/test_modules.py::TestModuleCUDA::test_memory_format_nn_ConvTranspose2d_cuda_complex32, test/test_modules.py::TestModuleCUDA::test_memory_format_nn_ConvTranspose2d_cuda_complex32, test/test_modules.py::TestModuleCUDA::test_memory_format_nn_ConvTranspose2d_cuda_complex32, test/test_modules.py::TestModuleCUDA::test_memory_format_nn_ConvTranspose2d_cuda_complex32, test/test_modules.py::TestModuleCUDA::test_memory_format_nn_ConvTranspose2d_cuda_complex32, test/test_modules.py::TestModuleCUDA::test_memory_format_nn_ConvTranspose2d_cuda_complex32, test/test_modules.py::TestModuleCUDA::test_memory_format_nn_ConvTranspose2d_cuda_complex32, test/test_modules.py::TestModuleCUDA::test_memory_format_nn_ConvTranspose2d_cuda_complex32, test/test_modules.py::TestModuleCUDA::test_memory_format_nn_ConvTranspose2d_cuda_complex32, test/test_modules.py::TestModuleCUDA::test_memory_format_nn_ConvTranspose2d_cuda_complex32, test/test_modules.py::TestModuleCUDA::test_memory_format_nn_ConvTranspose2d_cuda_complex32, test/test_modules.py::TestModuleCUDA::test_memory_format_nn_ConvTranspose2d_cuda_complex32, test/test_modules.py::TestModuleCUDA::test_memory_format_nn_ConvTranspose2d_cuda_complex32, test/test_modules.py::TestModuleCUDA::test_memory_format_nn_ConvTranspose2d_cuda_complex32, test/test_modules.py::TestModuleCUDA::test_memory_format_nn_ConvTranspose2d_cuda_complex32, test/test_modules.py::TestModuleCUDA::test_memory_format_nn_ConvTranspose2d_cuda_complex32, test/test_modules.py::TestModuleCUDA::test_memory_format_nn_ConvTranspose2d_cuda_complex32, test/test_modules.py::TestModuleCUDA::test_memory_format_nn_ConvTranspose2d_cuda_complex32, test/test_modules.py::TestModuleCUDA::test_memory_format_nn_ConvTranspose2d_cuda_complex32, test/test_modules.py::TestModuleCUDA::test_memory_format_nn_ConvTranspose2d_cuda_complex32, test/test_modules.py::TestModuleCUDA::test_memory_format_nn_ConvTranspose2d_cuda_complex32, test/test_modules.py::TestModuleCUDA::test_memory_format_nn_ConvTranspose2d_cuda_complex32, test/test_modules.py::TestModuleCUDA::test_memory_format_nn_ConvTranspose2d_cuda_complex32, test/test_modules.py::TestModuleCUDA::test_memory_format_nn_ConvTranspose2d_cuda_complex32, test/test_modules.py::TestModuleCUDA::test_memory_format_nn_ConvTranspose2d_cuda_complex32, test/test_modules.py::TestModuleCUDA::test_memory_format_nn_ConvTranspose2d_cuda_complex32, test/test_modules.py::TestModuleCUDA::test_memory_format_nn_ConvTranspose2d_cuda_complex32, test/test_modules.py::TestModuleCUDA::test_memory_format_nn_ConvTranspose2d_cuda_complex32, test/test_modules.py::TestModuleCUDA::test_memory_format_nn_ConvTranspose2d_cuda_complex32, test/test_modules.py::TestModuleCUDA::test_memory_format_nn_ConvTranspose2d_cuda_complex32, test/test_modules.py::TestModuleCUDA::test_memory_format_nn_ConvTranspose2d_cuda_complex32, test/test_modules.py::TestModuleCUDA::test_memory_format_nn_ConvTranspose2d_cuda_complex32, test/test_modules.py::TestModuleCUDA::test_memory_format_nn_ConvTranspose2d_cuda_complex32, test/test_modules.py::TestModuleCUDA::test_memory_format_nn_ConvTranspose2d_cuda_complex32, test/test_modules.py::TestModuleCUDA::test_memory_format_nn_ConvTranspose2d_cuda_complex32, test/test_modules.py::TestModuleCUDA::test_memory_format_nn_ConvTranspose2d_cuda_complex32, test/test_modules.py::TestModuleCUDA::test_memory_format_nn_ConvTranspose2d_cuda_complex32, test/test_modules.py::TestModuleCUDA::test_memory_format_nn_ConvTranspose2d_cuda_complex32, test/test_modules.py::TestModuleCUDA::test_memory_format_nn_ConvTranspose2d_cuda_complex32, test/test_modules.py::TestModuleCUDA::test_memory_format_nn_ConvTranspose2d_cuda_complex32, test/test_modules.py::TestModuleCUDA::test_memory_format_nn_ConvTranspose2d_cuda_complex32, test/test_modules.py::TestModuleCUDA::test_memory_format_nn_ConvTranspose2d_cuda_complex32, test/test_modules.py::TestModuleCUDA::test_memory_format_nn_ConvTranspose2d_cuda_complex32, test/test_modules.py::TestModuleCUDA::test_memory_format_nn_ConvTranspose2d_cuda_complex32, test/test_modules.py::TestModuleCUDA::test_memory_format_nn_ConvTranspose2d_cuda_complex32, test/test_modules.py::TestModuleCUDA::test_memory_format_nn_ConvTranspose2d_cuda_complex32, test/test_modules.py::TestModuleCUDA::test_memory_format_nn_ConvTranspose2d_cuda_complex32, test/test_modules.py::TestModuleCUDA::test_memory_format_nn_ConvTranspose2d_cuda_complex32, test/test_modules.py::TestModuleCUDA::test_memory_format_nn_ConvTranspose2d_cuda_complex32
2025-12-04T10:26:44.8596682Z 
2025-12-04T10:26:44.8597064Z Finished test_modules 2/2 ... [2025-12-04 10:26:44.852958][4968787.349145587], took 0.19min
2025-12-04T10:26:44.8598765Z Parsing testcases for test report: /var/lib/jenkins/pytorch/test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-2a683b2ad952299a.xml
2025-12-04T10:26:44.8600323Z Failed to parse and upload json test reports: Unable to locate credentials
2025-12-04T10:26:44.8601173Z Running optim/test_swa_utils 1/1 ... [2025-12-04 10:26:44.857997][4968787.354185375]
2025-12-04T10:26:44.8601990Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-12-04T10:26:44.8603857Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'optim/test_swa_utils.py', '--shard-id=1', '--num-shards=1', '-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 10:26:44.858476]
2025-12-04T10:26:46.5645709Z 
2025-12-04T10:26:46.5647032Z optim/test_swa_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/optim.test_swa_utils_1.1_4ca7b029390ed5ab_.log
2025-12-04T10:26:46.5648238Z 
2025-12-04T10:26:46.5648698Z Finished optim/test_swa_utils 1/1 ... [2025-12-04 10:26:46.564219][4968789.060400347], took 0.03min
2025-12-04T10:26:46.5679628Z Parsing testcases for test report: /var/lib/jenkins/pytorch/test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-2a683b2ad952299a.xml
2025-12-04T10:26:46.5691153Z Failed to parse and upload json test reports: Unable to locate credentials
2025-12-04T10:26:46.5697407Z Running cpp_extensions/python_agnostic_extension/test/test_python_agnostic 1/1 ... [2025-12-04 10:26:46.569449][4968789.065636972]
2025-12-04T10:26:46.5698588Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-12-04T10:26:46.5702518Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'cpp_extensions/python_agnostic_extension/test/test_python_agnostic.py', '--shard-id=1', '--num-shards=1', '-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 10:26:46.569934]
2025-12-04T10:27:03.8210658Z 
2025-12-04T10:27:03.8212891Z cpp_extensions/python_agnostic_extension/test/test_python_agnostic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp_extensions.python_agnostic_extension.test.test_python_agnostic_1.1_2d21b7441ced8319_.log
2025-12-04T10:27:03.8214830Z Running 0 items in this shard:
2025-12-04T10:27:03.8215170Z 
2025-12-04T10:27:03.8215967Z Finished cpp_extensions/python_agnostic_extension/test/test_python_agnostic 1/1 ... [2025-12-04 10:27:03.820736][4968806.316919885], took 0.29min
2025-12-04T10:27:03.8247442Z Parsing testcases for test report: /var/lib/jenkins/pytorch/test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-2a683b2ad952299a.xml
2025-12-04T10:27:03.8256243Z Failed to parse and upload json test reports: Unable to locate credentials
2025-12-04T10:27:03.8261928Z Running functorch/test_memory_efficient_fusion 1/1 ... [2025-12-04 10:27:03.826025][4968806.322212968]
2025-12-04T10:27:03.8262765Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-12-04T10:27:03.8267702Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_memory_efficient_fusion.py', '--shard-id=1', '--num-shards=1', '-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 10:27:03.826490]
2025-12-04T10:27:05.8028353Z 
2025-12-04T10:27:05.8030078Z functorch/test_memory_efficient_fusion 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_memory_efficient_fusion_1.1_2db2500c37fab1dd_.log
2025-12-04T10:27:05.8031563Z Running 0 items in this shard:
2025-12-04T10:27:05.8031885Z 
2025-12-04T10:27:05.8032486Z Finished functorch/test_memory_efficient_fusion 1/1 ... [2025-12-04 10:27:05.802443][4968808.298626302], took 0.03min
2025-12-04T10:27:05.8062492Z Parsing testcases for test report: /var/lib/jenkins/pytorch/test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-2a683b2ad952299a.xml
2025-12-04T10:27:05.8073866Z Failed to parse and upload json test reports: Unable to locate credentials
2025-12-04T10:27:05.8080558Z Running torch_np/numpy_tests/lib/test_histograms 1/1 ... [2025-12-04 10:27:05.807827][4968808.304014984]
2025-12-04T10:27:05.8081403Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-12-04T10:27:05.8086035Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_histograms.py', '--shard-id=1', '--num-shards=1', '-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 10:27:05.808312]
2025-12-04T10:27:07.6990266Z 
2025-12-04T10:27:07.6992245Z torch_np/numpy_tests/lib/test_histograms 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_histograms_1.1_600b66b24ae0a5cf_.log
2025-12-04T10:27:07.6993831Z Running 0 items in this shard:
2025-12-04T10:27:07.6994120Z 
2025-12-04T10:27:07.6994734Z Finished torch_np/numpy_tests/lib/test_histograms 1/1 ... [2025-12-04 10:27:07.698691][4968810.194874298], took 0.03min
2025-12-04T10:27:07.7025151Z Parsing testcases for test report: /var/lib/jenkins/pytorch/test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-2a683b2ad952299a.xml
2025-12-04T10:27:07.7036524Z Failed to parse and upload json test reports: Unable to locate credentials
2025-12-04T10:27:07.7042234Z Running torch_np/test_indexing 1/1 ... [2025-12-04 10:27:07.704031][4968810.200218251]
2025-12-04T10:27:07.7042946Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-12-04T10:27:07.7047975Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/test_indexing.py', '--shard-id=1', '--num-shards=1', '-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 10:27:07.704508]
2025-12-04T10:27:09.4866696Z 
2025-12-04T10:27:09.4868365Z torch_np/test_indexing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_indexing_1.1_d9fd860dc43c6dd8_.log
2025-12-04T10:27:09.4869615Z Running 0 items in this shard:
2025-12-04T10:27:09.4869902Z 
2025-12-04T10:27:09.4870417Z Finished torch_np/test_indexing 1/1 ... [2025-12-04 10:27:09.486329][4968811.982512119], took 0.03min
2025-12-04T10:27:09.4901985Z Parsing testcases for test report: /var/lib/jenkins/pytorch/test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-2a683b2ad952299a.xml
2025-12-04T10:27:09.4914289Z Failed to parse and upload json test reports: Unable to locate credentials
2025-12-04T10:27:09.4920169Z Running test_tensorboard 1/1 ... [2025-12-04 10:27:09.491692][4968811.987879221]
2025-12-04T10:27:09.4920865Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-12-04T10:27:09.4934531Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_tensorboard.py', '--shard-id=1', '--num-shards=1', '-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 10:27:09.492950]
2025-12-04T10:27:11.6620924Z 
2025-12-04T10:27:11.6622309Z test_tensorboard 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_tensorboard_1.1_835666789cae2a5b_.log
2025-12-04T10:27:11.6623534Z Running 0 items in this shard:
2025-12-04T10:27:11.6623825Z 
2025-12-04T10:27:11.6624266Z Finished test_tensorboard 1/1 ... [2025-12-04 10:27:11.661707][4968814.157892072], took 0.04min
2025-12-04T10:27:11.6656248Z Parsing testcases for test report: /var/lib/jenkins/pytorch/test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-2a683b2ad952299a.xml
2025-12-04T10:27:11.6667783Z Failed to parse and upload json test reports: Unable to locate credentials
2025-12-04T10:27:11.6673844Z Running test_numba_integration 1/1 ... [2025-12-04 10:27:11.667173][4968814.163360963]
2025-12-04T10:27:11.6674571Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-12-04T10:27:11.6679453Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_numba_integration.py', '--shard-id=1', '--num-shards=1', '-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 10:27:11.667629]
2025-12-04T10:27:14.0271462Z 
2025-12-04T10:27:14.0272433Z test_numba_integration 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_numba_integration_1.1_ade2fc99f6e62700_.log
2025-12-04T10:27:14.0272889Z Running 0 items in this shard:
2025-12-04T10:27:14.0272993Z 
2025-12-04T10:27:14.0273145Z Finished test_numba_integration 1/1 ... [2025-12-04 10:27:14.026721][4968816.522904103], took 0.04min
2025-12-04T10:27:14.0306377Z Parsing testcases for test report: /var/lib/jenkins/pytorch/test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-2a683b2ad952299a.xml
2025-12-04T10:27:14.0316810Z Failed to parse and upload json test reports: Unable to locate credentials
2025-12-04T10:27:14.0323311Z Running test_functional_optim 1/1 ... [2025-12-04 10:27:14.032108][4968816.528295315]
2025-12-04T10:27:14.0324056Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-12-04T10:27:14.0329054Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_functional_optim.py', '--shard-id=1', '--num-shards=1', '-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 10:27:14.032614]
2025-12-04T10:27:15.9617594Z 
2025-12-04T10:27:15.9619216Z test_functional_optim 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_functional_optim_1.1_527f756bfd917c34_.log
2025-12-04T10:27:15.9620479Z Running 0 items in this shard:
2025-12-04T10:27:15.9620766Z 
2025-12-04T10:27:15.9621221Z Finished test_functional_optim 1/1 ... [2025-12-04 10:27:15.961429][4968818.457612418], took 0.03min
2025-12-04T10:27:15.9653727Z Parsing testcases for test report: /var/lib/jenkins/pytorch/test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-2a683b2ad952299a.xml
2025-12-04T10:27:15.9664509Z Failed to parse and upload json test reports: Unable to locate credentials
2025-12-04T10:27:15.9670978Z Running test_maskedtensor 1/1 ... [2025-12-04 10:27:15.966935][4968818.463121849]
2025-12-04T10:27:15.9671385Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-12-04T10:27:15.9676836Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_maskedtensor.py', '--shard-id=1', '--num-shards=1', '-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 10:27:15.967425]
2025-12-04T10:27:19.8154700Z 
2025-12-04T10:27:19.8155430Z test_maskedtensor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_maskedtensor_1.1_825ab7595286f041_.log
2025-12-04T10:27:19.8155815Z Running 0 items in this shard:
2025-12-04T10:27:19.8155910Z 
2025-12-04T10:27:19.8156042Z Finished test_maskedtensor 1/1 ... [2025-12-04 10:27:19.815248][4968822.311431534], took 0.06min
2025-12-04T10:27:19.8190451Z Parsing testcases for test report: /var/lib/jenkins/pytorch/test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-2a683b2ad952299a.xml
2025-12-04T10:27:19.8202775Z Failed to parse and upload json test reports: Unable to locate credentials
2025-12-04T10:27:19.8210009Z Running test_ops 2/5 ... [2025-12-04 10:27:19.820758][4968822.316945934]
2025-12-04T10:27:19.8210699Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-12-04T10:27:19.8215204Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_ops.py', '--shard-id=2', '--num-shards=5', '-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 10:27:19.821244]
2025-12-04T10:27:58.0825431Z 
2025-12-04T10:27:58.0826723Z test_ops 2/5 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_2.5_d709e71b996837e0_.log
2025-12-04T10:27:58.0828904Z Running 0 items in this shard:
2025-12-04T10:27:58.0829192Z 
2025-12-04T10:27:58.0829563Z Finished test_ops 2/5 ... [2025-12-04 10:27:58.082252][4968860.578434857], took 0.64min
2025-12-04T10:27:58.0863087Z Parsing testcases for test report: /var/lib/jenkins/pytorch/test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-2a683b2ad952299a.xml
2025-12-04T10:27:58.0873970Z Failed to parse and upload json test reports: Unable to locate credentials
2025-12-04T10:27:58.0880041Z Running torch_np/numpy_tests/core/test_dtype 1/1 ... [2025-12-04 10:27:58.087804][4968860.583990926]
2025-12-04T10:27:58.0880862Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-12-04T10:27:58.0885802Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'torch_np/numpy_tests/core/test_dtype.py', '--shard-id=1', '--num-shards=1', '-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 10:27:58.088295]
2025-12-04T10:27:59.9116250Z 
2025-12-04T10:27:59.9118043Z torch_np/numpy_tests/core/test_dtype 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_dtype_1.1_7acaf04377a22f38_.log
2025-12-04T10:27:59.9119760Z Running 0 items in this shard:
2025-12-04T10:27:59.9120046Z 
2025-12-04T10:27:59.9120632Z Finished torch_np/numpy_tests/core/test_dtype 1/1 ... [2025-12-04 10:27:59.911355][4968862.407538036], took 0.03min
2025-12-04T10:27:59.9154983Z Parsing testcases for test report: /var/lib/jenkins/pytorch/test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-2a683b2ad952299a.xml
2025-12-04T10:27:59.9165084Z Failed to parse and upload json test reports: Unable to locate credentials
2025-12-04T10:27:59.9170929Z Running lazy/test_debug_util 1/1 ... [2025-12-04 10:27:59.916903][4968862.413091106]
2025-12-04T10:27:59.9171647Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-12-04T10:27:59.9177251Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'lazy/test_debug_util.py', '--shard-id=1', '--num-shards=1', '-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 10:27:59.917372]
2025-12-04T10:28:01.7532332Z 
2025-12-04T10:28:01.7534017Z lazy/test_debug_util 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_debug_util_1.1_dea6e548d3fc5f67_.log
2025-12-04T10:28:01.7535232Z Running 0 items in this shard:
2025-12-04T10:28:01.7535517Z 
2025-12-04T10:28:01.7535973Z Finished lazy/test_debug_util 1/1 ... [2025-12-04 10:28:01.752850][4968864.249029581], took 0.03min
2025-12-04T10:28:01.7568797Z Parsing testcases for test report: /var/lib/jenkins/pytorch/test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-2a683b2ad952299a.xml
2025-12-04T10:28:01.7581118Z Failed to parse and upload json test reports: Unable to locate credentials
2025-12-04T10:28:01.7586687Z Running nn/test_load_state_dict 1/1 ... [2025-12-04 10:28:01.758470][4968864.254653559]
2025-12-04T10:28:01.7587390Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-12-04T10:28:01.7592573Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'nn/test_load_state_dict.py', '--shard-id=1', '--num-shards=1', '-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 10:28:01.758981]
2025-12-04T10:28:03.8760086Z 
2025-12-04T10:28:03.8761206Z nn/test_load_state_dict 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_load_state_dict_1.1_772b3e2ce48b1ea7_.log
2025-12-04T10:28:03.8762404Z Running 0 items in this shard:
2025-12-04T10:28:03.8762691Z 
2025-12-04T10:28:03.8763136Z Finished nn/test_load_state_dict 1/1 ... [2025-12-04 10:28:03.875725][4968866.371908068], took 0.04min
2025-12-04T10:28:03.8796818Z Parsing testcases for test report: /var/lib/jenkins/pytorch/test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-2a683b2ad952299a.xml
2025-12-04T10:28:03.8808367Z Failed to parse and upload json test reports: Unable to locate credentials
2025-12-04T10:28:03.8814637Z Running test_shape_ops 1/1 ... [2025-12-04 10:28:03.881303][4968866.377490447]
2025-12-04T10:28:03.8815321Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-12-04T10:28:03.8820101Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_shape_ops.py', '--shard-id=1', '--num-shards=1', '-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 10:28:03.881756]
2025-12-04T10:28:06.5667740Z 
2025-12-04T10:28:06.5669213Z test_shape_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_shape_ops_1.1_8a395599df252a25_.log
2025-12-04T10:28:06.5670416Z Running 0 items in this shard:
2025-12-04T10:28:06.5670757Z 
2025-12-04T10:28:06.5671157Z Finished test_shape_ops 1/1 ... [2025-12-04 10:28:06.566438][4968869.062620859], took 0.04min
2025-12-04T10:28:06.5705890Z Parsing testcases for test report: /var/lib/jenkins/pytorch/test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-2a683b2ad952299a.xml
2025-12-04T10:28:06.5716840Z Failed to parse and upload json test reports: Unable to locate credentials
2025-12-04T10:28:06.5725033Z Running functorch/test_ops 1/4 ... [2025-12-04 10:28:06.572035][4968869.068222297]
2025-12-04T10:28:06.5725805Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-12-04T10:28:06.5728867Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_ops.py', '--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 10:28:06.572506]
2025-12-04T10:28:19.2780280Z 
2025-12-04T10:28:19.2781999Z functorch/test_ops 1/4 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_ops_1.4_241ce78c9e48d7c2_.log
2025-12-04T10:28:19.2783228Z Running 0 items in this shard:
2025-12-04T10:28:19.2784118Z 
2025-12-04T10:28:19.2784551Z Finished functorch/test_ops 1/4 ... [2025-12-04 10:28:19.277688][4968881.773875517], took 0.21min
2025-12-04T10:28:19.2795332Z Parsing testcases for test report: /var/lib/jenkins/pytorch/test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-2a683b2ad952299a.xml
2025-12-04T10:28:19.2803820Z Failed to parse and upload json test reports: Unable to locate credentials
2025-12-04T10:28:19.2804697Z Running test_nn 2/2 ... [2025-12-04 10:28:19.280258][4968881.776449325]
2025-12-04T10:28:19.2805311Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-12-04T10:28:19.2807110Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_nn.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 10:28:19.280468]
2025-12-04T10:29:00.8853966Z 
2025-12-04T10:29:00.8855054Z PRINTING LOG FILE of test_nn 2/2 (test/test-reports/test_nn_2.2_b8d2727f9154e3fb_.log)
2025-12-04T10:29:00.8856171Z Test results will be stored in test-reports/python-pytest/test_nn/test_nn-7fc97ac0d5ae23ed.xml
2025-12-04T10:29:00.8857035Z ============================= test session starts ==============================
2025-12-04T10:29:00.8857991Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python
2025-12-04T10:29:00.8859175Z cachedir: .pytest_cache
2025-12-04T10:29:00.8860415Z hypothesis profile 'no_deadline' -> database=None, deadline=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow]
2025-12-04T10:29:00.8861616Z rootdir: /var/lib/jenkins/pytorch
2025-12-04T10:29:00.8862047Z configfile: pytest.ini
2025-12-04T10:29:00.8863643Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, typeguard-4.3.0
2025-12-04T10:29:00.8864682Z collecting ... collected 2436 items
2025-12-04T10:29:00.8865240Z stepcurrent: Cannot find last run test, not skipping
2025-12-04T10:29:00.8925215Z Running 100 items in this shard: test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32, test/test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32, test/test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32, test/test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32, test/test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32, test/test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32, test/test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32, test/test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32, test/test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32, test/test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32, test/test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32, test/test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32, test/test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32, test/test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32, test/test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32, test/test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32, test/test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32, test/test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32, test/test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32, test/test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32, test/test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32, test/test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32, test/test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32, test/test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32, test/test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32, test/test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32, test/test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32, test/test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32, test/test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32, test/test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32, test/test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32, test/test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32, test/test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32, test/test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32, test/test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32, test/test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32, test/test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32, test/test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32, test/test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32, test/test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32, test/test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32, test/test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32, test/test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32, test/test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32, test/test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32, test/test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32, test/test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32, test/test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32, test/test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32, test/test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32, test/test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32
2025-12-04T10:29:00.8977151Z 
2025-12-04T10:29:00.8977654Z test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32 PASSED [2.1196s] [  1%]
2025-12-04T10:29:00.8978743Z test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32 FAILED [0.4577s] [  2%]
2025-12-04T10:29:00.8979856Z test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32 FAILED [0.1010s] [  2%]
2025-12-04T10:29:00.8980955Z test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32 FAILED [0.0687s] [  2%]
2025-12-04T10:29:00.8982064Z test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32 FAILED [0.0674s] [  2%]
2025-12-04T10:29:00.8983164Z test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32 FAILED [0.0650s] [  2%]
2025-12-04T10:29:00.8984265Z test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32 FAILED [0.0641s] [  2%]
2025-12-04T10:29:00.8985359Z test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32 FAILED [0.0648s] [  2%]
2025-12-04T10:29:00.8986464Z test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32 FAILED [0.0651s] [  2%]
2025-12-04T10:29:00.8987562Z test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32 FAILED [0.0645s] [  2%]
2025-12-04T10:29:00.8988729Z test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32 FAILED [0.0656s] [  2%]
2025-12-04T10:29:00.8989834Z test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32 FAILED [0.0610s] [  2%]
2025-12-04T10:29:00.8990929Z test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32 FAILED [0.0659s] [  2%]
2025-12-04T10:29:00.8992031Z test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32 FAILED [0.0631s] [  2%]
2025-12-04T10:29:00.8993129Z test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32 FAILED [0.0613s] [  2%]
2025-12-04T10:29:00.8994222Z test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32 FAILED [0.0590s] [  2%]
2025-12-04T10:29:00.8995327Z test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32 FAILED [0.0608s] [  2%]
2025-12-04T10:29:00.8996434Z test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32 FAILED [0.0622s] [  2%]
2025-12-04T10:29:00.8997540Z test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32 FAILED [0.0603s] [  2%]
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2025-12-04T10:29:00.9002183Z test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32 FAILED [0.0608s] [  2%]
2025-12-04T10:29:00.9003274Z test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32 FAILED [0.0610s] [  2%]
2025-12-04T10:29:00.9004367Z test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32 FAILED [0.0638s] [  2%]
2025-12-04T10:29:00.9005458Z test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32 FAILED [0.0624s] [  2%]
2025-12-04T10:29:00.9006568Z test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32 FAILED [0.0587s] [  2%]
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2025-12-04T10:29:00.9012783Z test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32 FAILED [0.0604s] [  2%]
2025-12-04T10:29:00.9013910Z test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32 FAILED [0.0622s] [  2%]
2025-12-04T10:29:00.9015033Z test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32 FAILED [0.0611s] [  2%]
2025-12-04T10:29:00.9016259Z test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32 FAILED [0.0547s] [  2%]
2025-12-04T10:29:00.9017374Z test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32 FAILED [0.0602s] [  2%]
2025-12-04T10:29:00.9018552Z test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32 FAILED [0.0624s] [  2%]
2025-12-04T10:29:00.9019674Z test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32 FAILED [0.0611s] [  2%]
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2025-12-04T10:29:00.9035285Z test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32 FAILED [0.6074s] [  2%]
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2025-12-04T10:29:00.9076149Z test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32 FAILED [0.6282s] [  2%]
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2025-12-04T10:29:00.9078995Z test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32 FAILED [0.6028s] [  2%]
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2025-12-04T10:29:00.9080873Z test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32 FAILED [0.6588s] [  2%]
2025-12-04T10:29:00.9081435Z 
2025-12-04T10:29:00.9081623Z =================================== FAILURES ===================================
2025-12-04T10:29:00.9082320Z ______________ TestNN.test_Transformer_multilayer_coder_cuda_tf32 ______________
2025-12-04T10:29:00.9083054Z Traceback (most recent call last):
2025-12-04T10:29:00.9083719Z   File "/var/lib/jenkins/pytorch/test/test_nn.py", line 7685, in with_tf32_on
2025-12-04T10:29:00.9084402Z     test.test_cuda(self, **kwargs)
2025-12-04T10:29:00.9085440Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_nn.py", line 3553, in test_cuda
2025-12-04T10:29:00.9086795Z     test_case.assertEqual(cpu_gradInput, gpu_gradInput, atol=self.precision, rtol=0, exact_dtype=False)
2025-12-04T10:29:00.9088261Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:29:00.9089406Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:29:00.9090021Z AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9090361Z 
2025-12-04T10:29:00.9090512Z Mismatched elements: 1 / 24 (4.2%)
2025-12-04T10:29:00.9091235Z Greatest absolute difference: 0.12936227294994307 at index (0, 0, 0) (up to 0.05 allowed)
2025-12-04T10:29:00.9092260Z Greatest relative difference: 0.030461511019059924 at index (0, 0, 0) (up to 0 allowed)
2025-12-04T10:29:00.9092851Z 
2025-12-04T10:29:00.9093002Z The failure occurred for item [1]
2025-12-04T10:29:00.9093289Z 
2025-12-04T10:29:00.9093577Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9094492Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_Transformer_multilayer_coder_cuda_tf32
2025-12-04T10:29:00.9095153Z 
2025-12-04T10:29:00.9095497Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9096299Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:29:00.9098490Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py:144: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.self_attn.batch_first was not True(use batch_first for better inference performance)
2025-12-04T10:29:00.9100468Z   self.encoder = TransformerEncoder(
2025-12-04T10:29:00.9101145Z ________ TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32 _________
2025-12-04T10:29:00.9101833Z Traceback (most recent call last):
2025-12-04T10:29:00.9102565Z   File "/var/lib/jenkins/pytorch/test/test_nn.py", line 7685, in with_tf32_on
2025-12-04T10:29:00.9103236Z     test.test_cuda(self, **kwargs)
2025-12-04T10:29:00.9104165Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_nn.py", line 3553, in test_cuda
2025-12-04T10:29:00.9105508Z     test_case.assertEqual(cpu_gradInput, gpu_gradInput, atol=self.precision, rtol=0, exact_dtype=False)
2025-12-04T10:29:00.9106927Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:29:00.9108052Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:29:00.9108721Z AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9109073Z 
2025-12-04T10:29:00.9109225Z Mismatched elements: 3 / 24 (12.5%)
2025-12-04T10:29:00.9109937Z Greatest absolute difference: 0.22959615503416586 at index (1, 2, 2) (up to 0.08 allowed)
2025-12-04T10:29:00.9110940Z Greatest relative difference: 0.03982180413784518 at index (1, 2, 0) (up to 0 allowed)
2025-12-04T10:29:00.9111522Z 
2025-12-04T10:29:00.9111670Z The failure occurred for item [0]
2025-12-04T10:29:00.9111954Z 
2025-12-04T10:29:00.9112222Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9113189Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32
2025-12-04T10:29:00.9113901Z 
2025-12-04T10:29:00.9114226Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9115428Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:29:00.9117420Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/backends/cudnn/__init__.py:159: UserWarning: cuDNN Benchmark limit is not supported in MIOpen and will have no effect. (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/cuda/Module.cpp:1960.)
2025-12-04T10:29:00.9119535Z   torch._C._cuda_set_cudnn_benchmark_limit(_benchmark_limit)
2025-12-04T10:29:00.9120295Z ________ TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32 _________
2025-12-04T10:29:00.9120973Z Traceback (most recent call last):
2025-12-04T10:29:00.9121605Z   File "/var/lib/jenkins/pytorch/test/test_nn.py", line 7685, in with_tf32_on
2025-12-04T10:29:00.9122260Z     test.test_cuda(self, **kwargs)
2025-12-04T10:29:00.9123173Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_nn.py", line 3553, in test_cuda
2025-12-04T10:29:00.9124486Z     test_case.assertEqual(cpu_gradInput, gpu_gradInput, atol=self.precision, rtol=0, exact_dtype=False)
2025-12-04T10:29:00.9125843Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:29:00.9126955Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:29:00.9127550Z AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9127883Z 
2025-12-04T10:29:00.9128036Z Mismatched elements: 3 / 24 (12.5%)
2025-12-04T10:29:00.9128804Z Greatest absolute difference: 0.22959615503416586 at index (1, 2, 2) (up to 0.08 allowed)
2025-12-04T10:29:00.9129800Z Greatest relative difference: 0.03982180413784518 at index (1, 2, 0) (up to 0 allowed)
2025-12-04T10:29:00.9130380Z 
2025-12-04T10:29:00.9130530Z The failure occurred for item [0]
2025-12-04T10:29:00.9130816Z 
2025-12-04T10:29:00.9131078Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9132038Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32
2025-12-04T10:29:00.9132748Z 
2025-12-04T10:29:00.9133070Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9133838Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:29:00.9135919Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/backends/cudnn/__init__.py:159: UserWarning: cuDNN Benchmark limit is not supported in MIOpen and will have no effect. (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/cuda/Module.cpp:1960.)
2025-12-04T10:29:00.9137966Z   torch._C._cuda_set_cudnn_benchmark_limit(_benchmark_limit)
2025-12-04T10:29:00.9138776Z ________ TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32 _________
2025-12-04T10:29:00.9139450Z Traceback (most recent call last):
2025-12-04T10:29:00.9140071Z   File "/var/lib/jenkins/pytorch/test/test_nn.py", line 7685, in with_tf32_on
2025-12-04T10:29:00.9140732Z     test.test_cuda(self, **kwargs)
2025-12-04T10:29:00.9141645Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_nn.py", line 3553, in test_cuda
2025-12-04T10:29:00.9142971Z     test_case.assertEqual(cpu_gradInput, gpu_gradInput, atol=self.precision, rtol=0, exact_dtype=False)
2025-12-04T10:29:00.9144330Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:29:00.9145432Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:29:00.9146021Z AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9146353Z 
2025-12-04T10:29:00.9146497Z Mismatched elements: 3 / 24 (12.5%)
2025-12-04T10:29:00.9147203Z Greatest absolute difference: 0.22959615503416586 at index (1, 2, 2) (up to 0.08 allowed)
2025-12-04T10:29:00.9148243Z Greatest relative difference: 0.03982180413784518 at index (1, 2, 0) (up to 0 allowed)
2025-12-04T10:29:00.9148816Z 
2025-12-04T10:29:00.9148962Z The failure occurred for item [0]
2025-12-04T10:29:00.9149241Z 
2025-12-04T10:29:00.9149502Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9150549Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32
2025-12-04T10:29:00.9151268Z 
2025-12-04T10:29:00.9151587Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9152350Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:29:00.9154596Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/backends/cudnn/__init__.py:159: UserWarning: cuDNN Benchmark limit is not supported in MIOpen and will have no effect. (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/cuda/Module.cpp:1960.)
2025-12-04T10:29:00.9156512Z   torch._C._cuda_set_cudnn_benchmark_limit(_benchmark_limit)
2025-12-04T10:29:00.9157265Z ________ TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32 _________
2025-12-04T10:29:00.9157929Z Traceback (most recent call last):
2025-12-04T10:29:00.9158609Z   File "/var/lib/jenkins/pytorch/test/test_nn.py", line 7685, in with_tf32_on
2025-12-04T10:29:00.9159279Z     test.test_cuda(self, **kwargs)
2025-12-04T10:29:00.9160202Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_nn.py", line 3553, in test_cuda
2025-12-04T10:29:00.9161526Z     test_case.assertEqual(cpu_gradInput, gpu_gradInput, atol=self.precision, rtol=0, exact_dtype=False)
2025-12-04T10:29:00.9162876Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:29:00.9163989Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:29:00.9164586Z AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9164916Z 
2025-12-04T10:29:00.9165059Z Mismatched elements: 3 / 24 (12.5%)
2025-12-04T10:29:00.9165764Z Greatest absolute difference: 0.22959615503416586 at index (1, 2, 2) (up to 0.08 allowed)
2025-12-04T10:29:00.9166785Z Greatest relative difference: 0.03982180413784518 at index (1, 2, 0) (up to 0 allowed)
2025-12-04T10:29:00.9167369Z 
2025-12-04T10:29:00.9167517Z The failure occurred for item [0]
2025-12-04T10:29:00.9167801Z 
2025-12-04T10:29:00.9168062Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9169186Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32
2025-12-04T10:29:00.9169903Z 
2025-12-04T10:29:00.9170222Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9170980Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:29:00.9172928Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/backends/cudnn/__init__.py:159: UserWarning: cuDNN Benchmark limit is not supported in MIOpen and will have no effect. (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/cuda/Module.cpp:1960.)
2025-12-04T10:29:00.9174834Z   torch._C._cuda_set_cudnn_benchmark_limit(_benchmark_limit)
2025-12-04T10:29:00.9175586Z ________ TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32 _________
2025-12-04T10:29:00.9176265Z Traceback (most recent call last):
2025-12-04T10:29:00.9176891Z   File "/var/lib/jenkins/pytorch/test/test_nn.py", line 7685, in with_tf32_on
2025-12-04T10:29:00.9177554Z     test.test_cuda(self, **kwargs)
2025-12-04T10:29:00.9178521Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_nn.py", line 3553, in test_cuda
2025-12-04T10:29:00.9179831Z     test_case.assertEqual(cpu_gradInput, gpu_gradInput, atol=self.precision, rtol=0, exact_dtype=False)
2025-12-04T10:29:00.9181169Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:29:00.9182261Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:29:00.9182854Z AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9183188Z 
2025-12-04T10:29:00.9183334Z Mismatched elements: 3 / 24 (12.5%)
2025-12-04T10:29:00.9184045Z Greatest absolute difference: 0.22959615503416586 at index (1, 2, 2) (up to 0.08 allowed)
2025-12-04T10:29:00.9185243Z Greatest relative difference: 0.03982180413784518 at index (1, 2, 0) (up to 0 allowed)
2025-12-04T10:29:00.9185824Z 
2025-12-04T10:29:00.9185977Z The failure occurred for item [0]
2025-12-04T10:29:00.9186263Z 
2025-12-04T10:29:00.9186526Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9187482Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32
2025-12-04T10:29:00.9188250Z 
2025-12-04T10:29:00.9188570Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9189329Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:29:00.9191277Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/backends/cudnn/__init__.py:159: UserWarning: cuDNN Benchmark limit is not supported in MIOpen and will have no effect. (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/cuda/Module.cpp:1960.)
2025-12-04T10:29:00.9193218Z   torch._C._cuda_set_cudnn_benchmark_limit(_benchmark_limit)
2025-12-04T10:29:00.9193982Z ________ TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32 _________
2025-12-04T10:29:00.9194658Z Traceback (most recent call last):
2025-12-04T10:29:00.9195289Z   File "/var/lib/jenkins/pytorch/test/test_nn.py", line 7685, in with_tf32_on
2025-12-04T10:29:00.9195956Z     test.test_cuda(self, **kwargs)
2025-12-04T10:29:00.9196874Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_nn.py", line 3553, in test_cuda
2025-12-04T10:29:00.9198256Z     test_case.assertEqual(cpu_gradInput, gpu_gradInput, atol=self.precision, rtol=0, exact_dtype=False)
2025-12-04T10:29:00.9199614Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:29:00.9200724Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:29:00.9201325Z AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9201662Z 
2025-12-04T10:29:00.9201805Z Mismatched elements: 3 / 24 (12.5%)
2025-12-04T10:29:00.9202593Z Greatest absolute difference: 0.22959615503416586 at index (1, 2, 2) (up to 0.08 allowed)
2025-12-04T10:29:00.9203585Z Greatest relative difference: 0.03982180413784518 at index (1, 2, 0) (up to 0 allowed)
2025-12-04T10:29:00.9204167Z 
2025-12-04T10:29:00.9204312Z The failure occurred for item [0]
2025-12-04T10:29:00.9204597Z 
2025-12-04T10:29:00.9204862Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9205824Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32
2025-12-04T10:29:00.9206537Z 
2025-12-04T10:29:00.9206858Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9207617Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:29:00.9209634Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/backends/cudnn/__init__.py:159: UserWarning: cuDNN Benchmark limit is not supported in MIOpen and will have no effect. (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/cuda/Module.cpp:1960.)
2025-12-04T10:29:00.9211561Z   torch._C._cuda_set_cudnn_benchmark_limit(_benchmark_limit)
2025-12-04T10:29:00.9212319Z ________ TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32 _________
2025-12-04T10:29:00.9212995Z Traceback (most recent call last):
2025-12-04T10:29:00.9213623Z   File "/var/lib/jenkins/pytorch/test/test_nn.py", line 7685, in with_tf32_on
2025-12-04T10:29:00.9214287Z     test.test_cuda(self, **kwargs)
2025-12-04T10:29:00.9215199Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_nn.py", line 3553, in test_cuda
2025-12-04T10:29:00.9216521Z     test_case.assertEqual(cpu_gradInput, gpu_gradInput, atol=self.precision, rtol=0, exact_dtype=False)
2025-12-04T10:29:00.9217950Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:29:00.9219129Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:29:00.9219728Z AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9220059Z 
2025-12-04T10:29:00.9220206Z Mismatched elements: 3 / 24 (12.5%)
2025-12-04T10:29:00.9220908Z Greatest absolute difference: 0.22959615503416586 at index (1, 2, 2) (up to 0.08 allowed)
2025-12-04T10:29:00.9221898Z Greatest relative difference: 0.03982180413784518 at index (1, 2, 0) (up to 0 allowed)
2025-12-04T10:29:00.9222477Z 
2025-12-04T10:29:00.9222626Z The failure occurred for item [0]
2025-12-04T10:29:00.9222911Z 
2025-12-04T10:29:00.9223176Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9224129Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32
2025-12-04T10:29:00.9224853Z 
2025-12-04T10:29:00.9225175Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9225940Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:29:00.9227933Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/backends/cudnn/__init__.py:159: UserWarning: cuDNN Benchmark limit is not supported in MIOpen and will have no effect. (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/cuda/Module.cpp:1960.)
2025-12-04T10:29:00.9229904Z   torch._C._cuda_set_cudnn_benchmark_limit(_benchmark_limit)
2025-12-04T10:29:00.9230663Z ________ TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32 _________
2025-12-04T10:29:00.9231338Z Traceback (most recent call last):
2025-12-04T10:29:00.9231968Z   File "/var/lib/jenkins/pytorch/test/test_nn.py", line 7685, in with_tf32_on
2025-12-04T10:29:00.9232633Z     test.test_cuda(self, **kwargs)
2025-12-04T10:29:00.9233557Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_nn.py", line 3553, in test_cuda
2025-12-04T10:29:00.9234883Z     test_case.assertEqual(cpu_gradInput, gpu_gradInput, atol=self.precision, rtol=0, exact_dtype=False)
2025-12-04T10:29:00.9236330Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:29:00.9237423Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:29:00.9237933Z AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9238185Z 
2025-12-04T10:29:00.9238278Z Mismatched elements: 3 / 24 (12.5%)
2025-12-04T10:29:00.9238720Z Greatest absolute difference: 0.22959615503416586 at index (1, 2, 2) (up to 0.08 allowed)
2025-12-04T10:29:00.9239340Z Greatest relative difference: 0.03982180413784518 at index (1, 2, 0) (up to 0 allowed)
2025-12-04T10:29:00.9239710Z 
2025-12-04T10:29:00.9239801Z The failure occurred for item [0]
2025-12-04T10:29:00.9239982Z 
2025-12-04T10:29:00.9240157Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9240761Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32
2025-12-04T10:29:00.9241212Z 
2025-12-04T10:29:00.9241419Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9241899Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:29:00.9243142Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/backends/cudnn/__init__.py:159: UserWarning: cuDNN Benchmark limit is not supported in MIOpen and will have no effect. (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/cuda/Module.cpp:1960.)
2025-12-04T10:29:00.9244349Z   torch._C._cuda_set_cudnn_benchmark_limit(_benchmark_limit)
2025-12-04T10:29:00.9244823Z ________ TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32 _________
2025-12-04T10:29:00.9245253Z Traceback (most recent call last):
2025-12-04T10:29:00.9245713Z   File "/var/lib/jenkins/pytorch/test/test_nn.py", line 7685, in with_tf32_on
2025-12-04T10:29:00.9246127Z     test.test_cuda(self, **kwargs)
2025-12-04T10:29:00.9246704Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_nn.py", line 3553, in test_cuda
2025-12-04T10:29:00.9247525Z     test_case.assertEqual(cpu_gradInput, gpu_gradInput, atol=self.precision, rtol=0, exact_dtype=False)
2025-12-04T10:29:00.9248417Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:29:00.9249110Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:29:00.9249482Z AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9249694Z 
2025-12-04T10:29:00.9249786Z Mismatched elements: 3 / 24 (12.5%)
2025-12-04T10:29:00.9250232Z Greatest absolute difference: 0.22959615503416586 at index (1, 2, 2) (up to 0.08 allowed)
2025-12-04T10:29:00.9250852Z Greatest relative difference: 0.03982180413784518 at index (1, 2, 0) (up to 0 allowed)
2025-12-04T10:29:00.9251220Z 
2025-12-04T10:29:00.9251314Z The failure occurred for item [0]
2025-12-04T10:29:00.9251498Z 
2025-12-04T10:29:00.9251667Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9252275Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32
2025-12-04T10:29:00.9252727Z 
2025-12-04T10:29:00.9252928Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9253407Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:29:00.9254629Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/backends/cudnn/__init__.py:159: UserWarning: cuDNN Benchmark limit is not supported in MIOpen and will have no effect. (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/cuda/Module.cpp:1960.)
2025-12-04T10:29:00.9255826Z   torch._C._cuda_set_cudnn_benchmark_limit(_benchmark_limit)
2025-12-04T10:29:00.9256304Z ________ TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32 _________
2025-12-04T10:29:00.9256731Z Traceback (most recent call last):
2025-12-04T10:29:00.9257184Z   File "/var/lib/jenkins/pytorch/test/test_nn.py", line 7685, in with_tf32_on
2025-12-04T10:29:00.9257602Z     test.test_cuda(self, **kwargs)
2025-12-04T10:29:00.9258226Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_nn.py", line 3553, in test_cuda
2025-12-04T10:29:00.9259053Z     test_case.assertEqual(cpu_gradInput, gpu_gradInput, atol=self.precision, rtol=0, exact_dtype=False)
2025-12-04T10:29:00.9259901Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:29:00.9260589Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:29:00.9260959Z AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9261166Z 
2025-12-04T10:29:00.9261260Z Mismatched elements: 3 / 24 (12.5%)
2025-12-04T10:29:00.9261701Z Greatest absolute difference: 0.22959615503416586 at index (1, 2, 2) (up to 0.08 allowed)
2025-12-04T10:29:00.9262321Z Greatest relative difference: 0.03982180413784518 at index (1, 2, 0) (up to 0 allowed)
2025-12-04T10:29:00.9262791Z 
2025-12-04T10:29:00.9262884Z The failure occurred for item [0]
2025-12-04T10:29:00.9263060Z 
2025-12-04T10:29:00.9263226Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9263823Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32
2025-12-04T10:29:00.9264269Z 
2025-12-04T10:29:00.9264470Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9264939Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:29:00.9266153Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/backends/cudnn/__init__.py:159: UserWarning: cuDNN Benchmark limit is not supported in MIOpen and will have no effect. (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/cuda/Module.cpp:1960.)
2025-12-04T10:29:00.9267426Z   torch._C._cuda_set_cudnn_benchmark_limit(_benchmark_limit)
2025-12-04T10:29:00.9267902Z ________ TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32 _________
2025-12-04T10:29:00.9268377Z Traceback (most recent call last):
2025-12-04T10:29:00.9268774Z   File "/var/lib/jenkins/pytorch/test/test_nn.py", line 7685, in with_tf32_on
2025-12-04T10:29:00.9269190Z     test.test_cuda(self, **kwargs)
2025-12-04T10:29:00.9269766Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_nn.py", line 3553, in test_cuda
2025-12-04T10:29:00.9270593Z     test_case.assertEqual(cpu_gradInput, gpu_gradInput, atol=self.precision, rtol=0, exact_dtype=False)
2025-12-04T10:29:00.9271445Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:29:00.9272147Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:29:00.9272517Z AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9272722Z 
2025-12-04T10:29:00.9272816Z Mismatched elements: 3 / 24 (12.5%)
2025-12-04T10:29:00.9273258Z Greatest absolute difference: 0.22959615503416586 at index (1, 2, 2) (up to 0.08 allowed)
2025-12-04T10:29:00.9273877Z Greatest relative difference: 0.03982180413784518 at index (1, 2, 0) (up to 0 allowed)
2025-12-04T10:29:00.9274238Z 
2025-12-04T10:29:00.9274329Z The failure occurred for item [0]
2025-12-04T10:29:00.9274507Z 
2025-12-04T10:29:00.9274671Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9275274Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32
2025-12-04T10:29:00.9275721Z 
2025-12-04T10:29:00.9275930Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9276418Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:29:00.9277699Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/backends/cudnn/__init__.py:159: UserWarning: cuDNN Benchmark limit is not supported in MIOpen and will have no effect. (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/cuda/Module.cpp:1960.)
2025-12-04T10:29:00.9278957Z   torch._C._cuda_set_cudnn_benchmark_limit(_benchmark_limit)
2025-12-04T10:29:00.9279433Z ________ TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32 _________
2025-12-04T10:29:00.9279856Z Traceback (most recent call last):
2025-12-04T10:29:00.9280252Z   File "/var/lib/jenkins/pytorch/test/test_nn.py", line 7685, in with_tf32_on
2025-12-04T10:29:00.9280668Z     test.test_cuda(self, **kwargs)
2025-12-04T10:29:00.9281252Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_nn.py", line 3553, in test_cuda
2025-12-04T10:29:00.9282087Z     test_case.assertEqual(cpu_gradInput, gpu_gradInput, atol=self.precision, rtol=0, exact_dtype=False)
2025-12-04T10:29:00.9282948Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:29:00.9283648Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:29:00.9284024Z AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9284230Z 
2025-12-04T10:29:00.9284320Z Mismatched elements: 3 / 24 (12.5%)
2025-12-04T10:29:00.9284762Z Greatest absolute difference: 0.22959615503416586 at index (1, 2, 2) (up to 0.08 allowed)
2025-12-04T10:29:00.9285390Z Greatest relative difference: 0.03982180413784518 at index (1, 2, 0) (up to 0 allowed)
2025-12-04T10:29:00.9285755Z 
2025-12-04T10:29:00.9285847Z The failure occurred for item [0]
2025-12-04T10:29:00.9286023Z 
2025-12-04T10:29:00.9286188Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9286789Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32
2025-12-04T10:29:00.9287289Z 
2025-12-04T10:29:00.9287491Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9287971Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:29:00.9289246Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/backends/cudnn/__init__.py:159: UserWarning: cuDNN Benchmark limit is not supported in MIOpen and will have no effect. (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/cuda/Module.cpp:1960.)
2025-12-04T10:29:00.9290445Z   torch._C._cuda_set_cudnn_benchmark_limit(_benchmark_limit)
2025-12-04T10:29:00.9290917Z ________ TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32 _________
2025-12-04T10:29:00.9291344Z Traceback (most recent call last):
2025-12-04T10:29:00.9291734Z   File "/var/lib/jenkins/pytorch/test/test_nn.py", line 7685, in with_tf32_on
2025-12-04T10:29:00.9292149Z     test.test_cuda(self, **kwargs)
2025-12-04T10:29:00.9292730Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_nn.py", line 3553, in test_cuda
2025-12-04T10:29:00.9293549Z     test_case.assertEqual(cpu_gradInput, gpu_gradInput, atol=self.precision, rtol=0, exact_dtype=False)
2025-12-04T10:29:00.9294395Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:29:00.9295087Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:29:00.9295456Z AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9295665Z 
2025-12-04T10:29:00.9295756Z Mismatched elements: 3 / 24 (12.5%)
2025-12-04T10:29:00.9296193Z Greatest absolute difference: 0.22959615503416586 at index (1, 2, 2) (up to 0.08 allowed)
2025-12-04T10:29:00.9296812Z Greatest relative difference: 0.03982180413784518 at index (1, 2, 0) (up to 0 allowed)
2025-12-04T10:29:00.9297173Z 
2025-12-04T10:29:00.9297266Z The failure occurred for item [0]
2025-12-04T10:29:00.9297452Z 
2025-12-04T10:29:00.9297616Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9298324Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32
2025-12-04T10:29:00.9298768Z 
2025-12-04T10:29:00.9298967Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9299441Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:29:00.9300654Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/backends/cudnn/__init__.py:159: UserWarning: cuDNN Benchmark limit is not supported in MIOpen and will have no effect. (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/cuda/Module.cpp:1960.)
2025-12-04T10:29:00.9301854Z   torch._C._cuda_set_cudnn_benchmark_limit(_benchmark_limit)
2025-12-04T10:29:00.9302323Z ________ TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32 _________
2025-12-04T10:29:00.9302748Z Traceback (most recent call last):
2025-12-04T10:29:00.9303142Z   File "/var/lib/jenkins/pytorch/test/test_nn.py", line 7685, in with_tf32_on
2025-12-04T10:29:00.9303555Z     test.test_cuda(self, **kwargs)
2025-12-04T10:29:00.9304132Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_nn.py", line 3553, in test_cuda
2025-12-04T10:29:00.9304958Z     test_case.assertEqual(cpu_gradInput, gpu_gradInput, atol=self.precision, rtol=0, exact_dtype=False)
2025-12-04T10:29:00.9305806Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:29:00.9306492Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:29:00.9306862Z AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9307069Z 
2025-12-04T10:29:00.9307158Z Mismatched elements: 3 / 24 (12.5%)
2025-12-04T10:29:00.9307601Z Greatest absolute difference: 0.22959615503416586 at index (1, 2, 2) (up to 0.08 allowed)
2025-12-04T10:29:00.9308323Z Greatest relative difference: 0.03982180413784518 at index (1, 2, 0) (up to 0 allowed)
2025-12-04T10:29:00.9308681Z 
2025-12-04T10:29:00.9308774Z The failure occurred for item [0]
2025-12-04T10:29:00.9308951Z 
2025-12-04T10:29:00.9309119Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9309719Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32
2025-12-04T10:29:00.9310165Z 
2025-12-04T10:29:00.9310366Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9310842Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:29:00.9312061Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/backends/cudnn/__init__.py:159: UserWarning: cuDNN Benchmark limit is not supported in MIOpen and will have no effect. (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/cuda/Module.cpp:1960.)
2025-12-04T10:29:00.9313283Z   torch._C._cuda_set_cudnn_benchmark_limit(_benchmark_limit)
2025-12-04T10:29:00.9313754Z ________ TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32 _________
2025-12-04T10:29:00.9314179Z Traceback (most recent call last):
2025-12-04T10:29:00.9314571Z   File "/var/lib/jenkins/pytorch/test/test_nn.py", line 7685, in with_tf32_on
2025-12-04T10:29:00.9314987Z     test.test_cuda(self, **kwargs)
2025-12-04T10:29:00.9315558Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_nn.py", line 3553, in test_cuda
2025-12-04T10:29:00.9316383Z     test_case.assertEqual(cpu_gradInput, gpu_gradInput, atol=self.precision, rtol=0, exact_dtype=False)
2025-12-04T10:29:00.9317232Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:29:00.9317917Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:29:00.9318334Z AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9318544Z 
2025-12-04T10:29:00.9318633Z Mismatched elements: 3 / 24 (12.5%)
2025-12-04T10:29:00.9319076Z Greatest absolute difference: 0.22959615503416586 at index (1, 2, 2) (up to 0.08 allowed)
2025-12-04T10:29:00.9319743Z Greatest relative difference: 0.03982180413784518 at index (1, 2, 0) (up to 0 allowed)
2025-12-04T10:29:00.9320104Z 
2025-12-04T10:29:00.9320196Z The failure occurred for item [0]
2025-12-04T10:29:00.9320372Z 
2025-12-04T10:29:00.9320538Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9321135Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32
2025-12-04T10:29:00.9321578Z 
2025-12-04T10:29:00.9321778Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9322248Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:29:00.9323467Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/backends/cudnn/__init__.py:159: UserWarning: cuDNN Benchmark limit is not supported in MIOpen and will have no effect. (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/cuda/Module.cpp:1960.)
2025-12-04T10:29:00.9324671Z   torch._C._cuda_set_cudnn_benchmark_limit(_benchmark_limit)
2025-12-04T10:29:00.9325139Z ________ TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32 _________
2025-12-04T10:29:00.9325558Z Traceback (most recent call last):
2025-12-04T10:29:00.9325947Z   File "/var/lib/jenkins/pytorch/test/test_nn.py", line 7685, in with_tf32_on
2025-12-04T10:29:00.9326357Z     test.test_cuda(self, **kwargs)
2025-12-04T10:29:00.9326927Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_nn.py", line 3553, in test_cuda
2025-12-04T10:29:00.9327779Z     test_case.assertEqual(cpu_gradInput, gpu_gradInput, atol=self.precision, rtol=0, exact_dtype=False)
2025-12-04T10:29:00.9329002Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:29:00.9329877Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:29:00.9330311Z AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9330582Z 
2025-12-04T10:29:00.9330673Z Mismatched elements: 3 / 24 (12.5%)
2025-12-04T10:29:00.9331115Z Greatest absolute difference: 0.22959615503416586 at index (1, 2, 2) (up to 0.08 allowed)
2025-12-04T10:29:00.9331739Z Greatest relative difference: 0.03982180413784518 at index (1, 2, 0) (up to 0 allowed)
2025-12-04T10:29:00.9332105Z 
2025-12-04T10:29:00.9332199Z The failure occurred for item [0]
2025-12-04T10:29:00.9332377Z 
2025-12-04T10:29:00.9332542Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9333145Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32
2025-12-04T10:29:00.9333591Z 
2025-12-04T10:29:00.9333796Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9334274Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:29:00.9335503Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/backends/cudnn/__init__.py:159: UserWarning: cuDNN Benchmark limit is not supported in MIOpen and will have no effect. (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/cuda/Module.cpp:1960.)
2025-12-04T10:29:00.9336715Z   torch._C._cuda_set_cudnn_benchmark_limit(_benchmark_limit)
2025-12-04T10:29:00.9337193Z ________ TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32 _________
2025-12-04T10:29:00.9337621Z Traceback (most recent call last):
2025-12-04T10:29:00.9338015Z   File "/var/lib/jenkins/pytorch/test/test_nn.py", line 7685, in with_tf32_on
2025-12-04T10:29:00.9338492Z     test.test_cuda(self, **kwargs)
2025-12-04T10:29:00.9339068Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_nn.py", line 3553, in test_cuda
2025-12-04T10:29:00.9339897Z     test_case.assertEqual(cpu_gradInput, gpu_gradInput, atol=self.precision, rtol=0, exact_dtype=False)
2025-12-04T10:29:00.9340804Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:29:00.9341499Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:29:00.9341872Z AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9342083Z 
2025-12-04T10:29:00.9342174Z Mismatched elements: 3 / 24 (12.5%)
2025-12-04T10:29:00.9342624Z Greatest absolute difference: 0.22959615503416586 at index (1, 2, 2) (up to 0.08 allowed)
2025-12-04T10:29:00.9343244Z Greatest relative difference: 0.03982180413784518 at index (1, 2, 0) (up to 0 allowed)
2025-12-04T10:29:00.9343606Z 
2025-12-04T10:29:00.9343714Z The failure occurred for item [0]
2025-12-04T10:29:00.9343890Z 
2025-12-04T10:29:00.9344058Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9344670Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32
2025-12-04T10:29:00.9345120Z 
2025-12-04T10:29:00.9345329Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9345810Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:29:00.9347053Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/backends/cudnn/__init__.py:159: UserWarning: cuDNN Benchmark limit is not supported in MIOpen and will have no effect. (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/cuda/Module.cpp:1960.)
2025-12-04T10:29:00.9348324Z   torch._C._cuda_set_cudnn_benchmark_limit(_benchmark_limit)
2025-12-04T10:29:00.9348798Z ________ TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32 _________
2025-12-04T10:29:00.9349226Z Traceback (most recent call last):
2025-12-04T10:29:00.9349626Z   File "/var/lib/jenkins/pytorch/test/test_nn.py", line 7685, in with_tf32_on
2025-12-04T10:29:00.9350106Z     test.test_cuda(self, **kwargs)
2025-12-04T10:29:00.9350776Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_nn.py", line 3553, in test_cuda
2025-12-04T10:29:00.9351608Z     test_case.assertEqual(cpu_gradInput, gpu_gradInput, atol=self.precision, rtol=0, exact_dtype=False)
2025-12-04T10:29:00.9352468Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:29:00.9353171Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:29:00.9353547Z AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9353751Z 
2025-12-04T10:29:00.9353847Z Mismatched elements: 3 / 24 (12.5%)
2025-12-04T10:29:00.9354286Z Greatest absolute difference: 0.22959615503416586 at index (1, 2, 2) (up to 0.08 allowed)
2025-12-04T10:29:00.9354895Z Greatest relative difference: 0.03982180413784518 at index (1, 2, 0) (up to 0 allowed)
2025-12-04T10:29:00.9355259Z 
2025-12-04T10:29:00.9355357Z The failure occurred for item [0]
2025-12-04T10:29:00.9355533Z 
2025-12-04T10:29:00.9355702Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9356301Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32
2025-12-04T10:29:00.9356746Z 
2025-12-04T10:29:00.9356950Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9357433Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:29:00.9358718Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/backends/cudnn/__init__.py:159: UserWarning: cuDNN Benchmark limit is not supported in MIOpen and will have no effect. (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/cuda/Module.cpp:1960.)
2025-12-04T10:29:00.9359938Z   torch._C._cuda_set_cudnn_benchmark_limit(_benchmark_limit)
2025-12-04T10:29:00.9360419Z ________ TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32 _________
2025-12-04T10:29:00.9360843Z Traceback (most recent call last):
2025-12-04T10:29:00.9361288Z   File "/var/lib/jenkins/pytorch/test/test_nn.py", line 7685, in with_tf32_on
2025-12-04T10:29:00.9361705Z     test.test_cuda(self, **kwargs)
2025-12-04T10:29:00.9362291Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_nn.py", line 3553, in test_cuda
2025-12-04T10:29:00.9363120Z     test_case.assertEqual(cpu_gradInput, gpu_gradInput, atol=self.precision, rtol=0, exact_dtype=False)
2025-12-04T10:29:00.9363969Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:29:00.9364663Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:29:00.9365032Z AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9365239Z 
2025-12-04T10:29:00.9365335Z Mismatched elements: 3 / 24 (12.5%)
2025-12-04T10:29:00.9365783Z Greatest absolute difference: 0.22959615503416586 at index (1, 2, 2) (up to 0.08 allowed)
2025-12-04T10:29:00.9366408Z Greatest relative difference: 0.03982180413784518 at index (1, 2, 0) (up to 0 allowed)
2025-12-04T10:29:00.9366774Z 
2025-12-04T10:29:00.9366870Z The failure occurred for item [0]
2025-12-04T10:29:00.9367041Z 
2025-12-04T10:29:00.9367210Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9367807Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32
2025-12-04T10:29:00.9368296Z 
2025-12-04T10:29:00.9368503Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9368984Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:29:00.9370222Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/backends/cudnn/__init__.py:159: UserWarning: cuDNN Benchmark limit is not supported in MIOpen and will have no effect. (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/cuda/Module.cpp:1960.)
2025-12-04T10:29:00.9371483Z   torch._C._cuda_set_cudnn_benchmark_limit(_benchmark_limit)
2025-12-04T10:29:00.9371969Z ________ TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32 _________
2025-12-04T10:29:00.9372398Z Traceback (most recent call last):
2025-12-04T10:29:00.9372795Z   File "/var/lib/jenkins/pytorch/test/test_nn.py", line 7685, in with_tf32_on
2025-12-04T10:29:00.9373214Z     test.test_cuda(self, **kwargs)
2025-12-04T10:29:00.9373800Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_nn.py", line 3553, in test_cuda
2025-12-04T10:29:00.9374633Z     test_case.assertEqual(cpu_gradInput, gpu_gradInput, atol=self.precision, rtol=0, exact_dtype=False)
2025-12-04T10:29:00.9375490Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:29:00.9376195Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:29:00.9376569Z AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9376773Z 
2025-12-04T10:29:00.9376872Z Mismatched elements: 3 / 24 (12.5%)
2025-12-04T10:29:00.9377328Z Greatest absolute difference: 0.22959615503416586 at index (1, 2, 2) (up to 0.08 allowed)
2025-12-04T10:29:00.9377942Z Greatest relative difference: 0.03982180413784518 at index (1, 2, 0) (up to 0 allowed)
2025-12-04T10:29:00.9378348Z 
2025-12-04T10:29:00.9378444Z The failure occurred for item [0]
2025-12-04T10:29:00.9378618Z 
2025-12-04T10:29:00.9378788Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9379389Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32
2025-12-04T10:29:00.9379832Z 
2025-12-04T10:29:00.9380037Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9380514Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:29:00.9381789Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/backends/cudnn/__init__.py:159: UserWarning: cuDNN Benchmark limit is not supported in MIOpen and will have no effect. (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/cuda/Module.cpp:1960.)
2025-12-04T10:29:00.9383001Z   torch._C._cuda_set_cudnn_benchmark_limit(_benchmark_limit)
2025-12-04T10:29:00.9383477Z ________ TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32 _________
2025-12-04T10:29:00.9383906Z Traceback (most recent call last):
2025-12-04T10:29:00.9384301Z   File "/var/lib/jenkins/pytorch/test/test_nn.py", line 7685, in with_tf32_on
2025-12-04T10:29:00.9384720Z     test.test_cuda(self, **kwargs)
2025-12-04T10:29:00.9385300Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_nn.py", line 3553, in test_cuda
2025-12-04T10:29:00.9386127Z     test_case.assertEqual(cpu_gradInput, gpu_gradInput, atol=self.precision, rtol=0, exact_dtype=False)
2025-12-04T10:29:00.9386989Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:29:00.9387689Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:29:00.9388106Z AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9388312Z 
2025-12-04T10:29:00.9388404Z Mismatched elements: 3 / 24 (12.5%)
2025-12-04T10:29:00.9388847Z Greatest absolute difference: 0.22959615503416586 at index (1, 2, 2) (up to 0.08 allowed)
2025-12-04T10:29:00.9389464Z Greatest relative difference: 0.03982180413784518 at index (1, 2, 0) (up to 0 allowed)
2025-12-04T10:29:00.9389829Z 
2025-12-04T10:29:00.9389988Z The failure occurred for item [0]
2025-12-04T10:29:00.9390166Z 
2025-12-04T10:29:00.9390333Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9390936Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32
2025-12-04T10:29:00.9391433Z 
2025-12-04T10:29:00.9391638Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9392117Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:29:00.9393352Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/backends/cudnn/__init__.py:159: UserWarning: cuDNN Benchmark limit is not supported in MIOpen and will have no effect. (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/cuda/Module.cpp:1960.)
2025-12-04T10:29:00.9394563Z   torch._C._cuda_set_cudnn_benchmark_limit(_benchmark_limit)
2025-12-04T10:29:00.9395036Z ________ TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32 _________
2025-12-04T10:29:00.9395564Z Traceback (most recent call last):
2025-12-04T10:29:00.9395958Z   File "/var/lib/jenkins/pytorch/test/test_nn.py", line 7685, in with_tf32_on
2025-12-04T10:29:00.9396374Z     test.test_cuda(self, **kwargs)
2025-12-04T10:29:00.9396953Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_nn.py", line 3553, in test_cuda
2025-12-04T10:29:00.9397777Z     test_case.assertEqual(cpu_gradInput, gpu_gradInput, atol=self.precision, rtol=0, exact_dtype=False)
2025-12-04T10:29:00.9398679Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:29:00.9399377Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:29:00.9399750Z AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9399955Z 
2025-12-04T10:29:00.9400048Z Mismatched elements: 3 / 24 (12.5%)
2025-12-04T10:29:00.9400495Z Greatest absolute difference: 0.22959615503416586 at index (1, 2, 2) (up to 0.08 allowed)
2025-12-04T10:29:00.9401121Z Greatest relative difference: 0.03982180413784518 at index (1, 2, 0) (up to 0 allowed)
2025-12-04T10:29:00.9401486Z 
2025-12-04T10:29:00.9401582Z The failure occurred for item [0]
2025-12-04T10:29:00.9401761Z 
2025-12-04T10:29:00.9401930Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9402530Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32
2025-12-04T10:29:00.9403046Z 
2025-12-04T10:29:00.9403253Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9403731Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:29:00.9404959Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/backends/cudnn/__init__.py:159: UserWarning: cuDNN Benchmark limit is not supported in MIOpen and will have no effect. (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/cuda/Module.cpp:1960.)
2025-12-04T10:29:00.9406161Z   torch._C._cuda_set_cudnn_benchmark_limit(_benchmark_limit)
2025-12-04T10:29:00.9406633Z ________ TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32 _________
2025-12-04T10:29:00.9407061Z Traceback (most recent call last):
2025-12-04T10:29:00.9407451Z   File "/var/lib/jenkins/pytorch/test/test_nn.py", line 7685, in with_tf32_on
2025-12-04T10:29:00.9407865Z     test.test_cuda(self, **kwargs)
2025-12-04T10:29:00.9408503Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_nn.py", line 3553, in test_cuda
2025-12-04T10:29:00.9409321Z     test_case.assertEqual(cpu_gradInput, gpu_gradInput, atol=self.precision, rtol=0, exact_dtype=False)
2025-12-04T10:29:00.9410164Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:29:00.9410854Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:29:00.9411223Z AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9411428Z 
2025-12-04T10:29:00.9411521Z Mismatched elements: 3 / 24 (12.5%)
2025-12-04T10:29:00.9411954Z Greatest absolute difference: 0.22959615503416586 at index (1, 2, 2) (up to 0.08 allowed)
2025-12-04T10:29:00.9412630Z Greatest relative difference: 0.03982180413784518 at index (1, 2, 0) (up to 0 allowed)
2025-12-04T10:29:00.9412987Z 
2025-12-04T10:29:00.9413082Z The failure occurred for item [0]
2025-12-04T10:29:00.9413261Z 
2025-12-04T10:29:00.9413455Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9414055Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32
2025-12-04T10:29:00.9414497Z 
2025-12-04T10:29:00.9414702Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9415178Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:29:00.9416405Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/backends/cudnn/__init__.py:159: UserWarning: cuDNN Benchmark limit is not supported in MIOpen and will have no effect. (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/cuda/Module.cpp:1960.)
2025-12-04T10:29:00.9417623Z   torch._C._cuda_set_cudnn_benchmark_limit(_benchmark_limit)
2025-12-04T10:29:00.9418147Z ________ TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32 _________
2025-12-04T10:29:00.9418567Z Traceback (most recent call last):
2025-12-04T10:29:00.9418961Z   File "/var/lib/jenkins/pytorch/test/test_nn.py", line 7685, in with_tf32_on
2025-12-04T10:29:00.9419373Z     test.test_cuda(self, **kwargs)
2025-12-04T10:29:00.9419941Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_nn.py", line 3553, in test_cuda
2025-12-04T10:29:00.9420757Z     test_case.assertEqual(cpu_gradInput, gpu_gradInput, atol=self.precision, rtol=0, exact_dtype=False)
2025-12-04T10:29:00.9421603Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:29:00.9422294Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:29:00.9422666Z AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9422874Z 
2025-12-04T10:29:00.9422968Z Mismatched elements: 3 / 24 (12.5%)
2025-12-04T10:29:00.9423406Z Greatest absolute difference: 0.22959615503416586 at index (1, 2, 2) (up to 0.08 allowed)
2025-12-04T10:29:00.9424131Z Greatest relative difference: 0.03982180413784518 at index (1, 2, 0) (up to 0 allowed)
2025-12-04T10:29:00.9424494Z 
2025-12-04T10:29:00.9424590Z The failure occurred for item [0]
2025-12-04T10:29:00.9424763Z 
2025-12-04T10:29:00.9424931Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9425532Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32
2025-12-04T10:29:00.9425976Z 
2025-12-04T10:29:00.9426181Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9426656Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:29:00.9427885Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/backends/cudnn/__init__.py:159: UserWarning: cuDNN Benchmark limit is not supported in MIOpen and will have no effect. (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/cuda/Module.cpp:1960.)
2025-12-04T10:29:00.9428578Z   torch._C._cuda_set_cudnn_benchmark_limit(_benchmark_limit)
2025-12-04T10:29:00.9428811Z ________ TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32 _________
2025-12-04T10:29:00.9429018Z Traceback (most recent call last):
2025-12-04T10:29:00.9429209Z   File "/var/lib/jenkins/pytorch/test/test_nn.py", line 7685, in with_tf32_on
2025-12-04T10:29:00.9429410Z     test.test_cuda(self, **kwargs)
2025-12-04T10:29:00.9429690Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_nn.py", line 3553, in test_cuda
2025-12-04T10:29:00.9430086Z     test_case.assertEqual(cpu_gradInput, gpu_gradInput, atol=self.precision, rtol=0, exact_dtype=False)
2025-12-04T10:29:00.9430490Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:29:00.9430854Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:29:00.9431034Z AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9431134Z 
2025-12-04T10:29:00.9431185Z Mismatched elements: 3 / 24 (12.5%)
2025-12-04T10:29:00.9431397Z Greatest absolute difference: 0.22959615503416586 at index (1, 2, 2) (up to 0.08 allowed)
2025-12-04T10:29:00.9431693Z Greatest relative difference: 0.03982180413784518 at index (1, 2, 0) (up to 0 allowed)
2025-12-04T10:29:00.9431865Z 
2025-12-04T10:29:00.9431913Z The failure occurred for item [0]
2025-12-04T10:29:00.9431999Z 
2025-12-04T10:29:00.9432081Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9432374Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32
2025-12-04T10:29:00.9432589Z 
2025-12-04T10:29:00.9432689Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9432927Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:29:00.9433527Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/backends/cudnn/__init__.py:159: UserWarning: cuDNN Benchmark limit is not supported in MIOpen and will have no effect. (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/cuda/Module.cpp:1960.)
2025-12-04T10:29:00.9434107Z   torch._C._cuda_set_cudnn_benchmark_limit(_benchmark_limit)
2025-12-04T10:29:00.9434337Z ________ TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32 _________
2025-12-04T10:29:00.9434542Z Traceback (most recent call last):
2025-12-04T10:29:00.9434734Z   File "/var/lib/jenkins/pytorch/test/test_nn.py", line 7685, in with_tf32_on
2025-12-04T10:29:00.9434938Z     test.test_cuda(self, **kwargs)
2025-12-04T10:29:00.9435216Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_nn.py", line 3553, in test_cuda
2025-12-04T10:29:00.9435617Z     test_case.assertEqual(cpu_gradInput, gpu_gradInput, atol=self.precision, rtol=0, exact_dtype=False)
2025-12-04T10:29:00.9436058Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:29:00.9436396Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:29:00.9436578Z AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9436678Z 
2025-12-04T10:29:00.9436726Z Mismatched elements: 3 / 24 (12.5%)
2025-12-04T10:29:00.9436944Z Greatest absolute difference: 0.22959615503416586 at index (1, 2, 2) (up to 0.08 allowed)
2025-12-04T10:29:00.9437241Z Greatest relative difference: 0.03982180413784518 at index (1, 2, 0) (up to 0 allowed)
2025-12-04T10:29:00.9437413Z 
2025-12-04T10:29:00.9437463Z The failure occurred for item [0]
2025-12-04T10:29:00.9437547Z 
2025-12-04T10:29:00.9437631Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9437931Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32
2025-12-04T10:29:00.9438181Z 
2025-12-04T10:29:00.9438282Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9438515Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:29:00.9439104Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/backends/cudnn/__init__.py:159: UserWarning: cuDNN Benchmark limit is not supported in MIOpen and will have no effect. (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/cuda/Module.cpp:1960.)
2025-12-04T10:29:00.9439688Z   torch._C._cuda_set_cudnn_benchmark_limit(_benchmark_limit)
2025-12-04T10:29:00.9439918Z ________ TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32 _________
2025-12-04T10:29:00.9440123Z Traceback (most recent call last):
2025-12-04T10:29:00.9440314Z   File "/var/lib/jenkins/pytorch/test/test_nn.py", line 7685, in with_tf32_on
2025-12-04T10:29:00.9440555Z     test.test_cuda(self, **kwargs)
2025-12-04T10:29:00.9440830Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_nn.py", line 3553, in test_cuda
2025-12-04T10:29:00.9441230Z     test_case.assertEqual(cpu_gradInput, gpu_gradInput, atol=self.precision, rtol=0, exact_dtype=False)
2025-12-04T10:29:00.9441641Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:29:00.9441979Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:29:00.9442160Z AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9442260Z 
2025-12-04T10:29:00.9442307Z Mismatched elements: 3 / 24 (12.5%)
2025-12-04T10:29:00.9442522Z Greatest absolute difference: 0.22959615503416586 at index (1, 2, 2) (up to 0.08 allowed)
2025-12-04T10:29:00.9442825Z Greatest relative difference: 0.03982180413784518 at index (1, 2, 0) (up to 0 allowed)
2025-12-04T10:29:00.9443000Z 
2025-12-04T10:29:00.9443047Z The failure occurred for item [0]
2025-12-04T10:29:00.9443133Z 
2025-12-04T10:29:00.9443217Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9443509Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32
2025-12-04T10:29:00.9443722Z 
2025-12-04T10:29:00.9443822Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9444053Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:29:00.9444640Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/backends/cudnn/__init__.py:159: UserWarning: cuDNN Benchmark limit is not supported in MIOpen and will have no effect. (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/cuda/Module.cpp:1960.)
2025-12-04T10:29:00.9445219Z   torch._C._cuda_set_cudnn_benchmark_limit(_benchmark_limit)
2025-12-04T10:29:00.9445450Z ________ TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32 _________
2025-12-04T10:29:00.9445660Z Traceback (most recent call last):
2025-12-04T10:29:00.9445853Z   File "/var/lib/jenkins/pytorch/test/test_nn.py", line 7685, in with_tf32_on
2025-12-04T10:29:00.9446085Z     test.test_cuda(self, **kwargs)
2025-12-04T10:29:00.9446365Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_nn.py", line 3553, in test_cuda
2025-12-04T10:29:00.9446766Z     test_case.assertEqual(cpu_gradInput, gpu_gradInput, atol=self.precision, rtol=0, exact_dtype=False)
2025-12-04T10:29:00.9447176Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:29:00.9447513Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:29:00.9447703Z AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9447803Z 
2025-12-04T10:29:00.9447851Z Mismatched elements: 3 / 24 (12.5%)
2025-12-04T10:29:00.9448111Z Greatest absolute difference: 0.22959615503416586 at index (1, 2, 2) (up to 0.08 allowed)
2025-12-04T10:29:00.9448414Z Greatest relative difference: 0.03982180413784518 at index (1, 2, 0) (up to 0 allowed)
2025-12-04T10:29:00.9448590Z 
2025-12-04T10:29:00.9448640Z The failure occurred for item [0]
2025-12-04T10:29:00.9448725Z 
2025-12-04T10:29:00.9448807Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9449102Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32
2025-12-04T10:29:00.9449316Z 
2025-12-04T10:29:00.9449417Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9449650Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:29:00.9450244Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/backends/cudnn/__init__.py:159: UserWarning: cuDNN Benchmark limit is not supported in MIOpen and will have no effect. (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/cuda/Module.cpp:1960.)
2025-12-04T10:29:00.9450866Z   torch._C._cuda_set_cudnn_benchmark_limit(_benchmark_limit)
2025-12-04T10:29:00.9451104Z ________ TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32 _________
2025-12-04T10:29:00.9451319Z Traceback (most recent call last):
2025-12-04T10:29:00.9451517Z   File "/var/lib/jenkins/pytorch/test/test_nn.py", line 7685, in with_tf32_on
2025-12-04T10:29:00.9451725Z     test.test_cuda(self, **kwargs)
2025-12-04T10:29:00.9452013Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_nn.py", line 3553, in test_cuda
2025-12-04T10:29:00.9452422Z     test_case.assertEqual(cpu_gradInput, gpu_gradInput, atol=self.precision, rtol=0, exact_dtype=False)
2025-12-04T10:29:00.9452836Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:29:00.9453177Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:29:00.9453367Z AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9453470Z 
2025-12-04T10:29:00.9453520Z Mismatched elements: 3 / 24 (12.5%)
2025-12-04T10:29:00.9453742Z Greatest absolute difference: 0.22959615503416586 at index (1, 2, 2) (up to 0.08 allowed)
2025-12-04T10:29:00.9454046Z Greatest relative difference: 0.03982180413784518 at index (1, 2, 0) (up to 0 allowed)
2025-12-04T10:29:00.9454221Z 
2025-12-04T10:29:00.9454275Z The failure occurred for item [0]
2025-12-04T10:29:00.9454365Z 
2025-12-04T10:29:00.9454450Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9454744Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32
2025-12-04T10:29:00.9454958Z 
2025-12-04T10:29:00.9455060Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9455297Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:29:00.9455930Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/backends/cudnn/__init__.py:159: UserWarning: cuDNN Benchmark limit is not supported in MIOpen and will have no effect. (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/cuda/Module.cpp:1960.)
2025-12-04T10:29:00.9456513Z   torch._C._cuda_set_cudnn_benchmark_limit(_benchmark_limit)
2025-12-04T10:29:00.9466683Z ________ TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32 _________
2025-12-04T10:29:00.9466908Z Traceback (most recent call last):
2025-12-04T10:29:00.9467111Z   File "/var/lib/jenkins/pytorch/test/test_nn.py", line 7685, in with_tf32_on
2025-12-04T10:29:00.9467330Z     test.test_cuda(self, **kwargs)
2025-12-04T10:29:00.9467635Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_nn.py", line 3553, in test_cuda
2025-12-04T10:29:00.9468124Z     test_case.assertEqual(cpu_gradInput, gpu_gradInput, atol=self.precision, rtol=0, exact_dtype=False)
2025-12-04T10:29:00.9468579Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:29:00.9468947Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:29:00.9469153Z AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9469265Z 
2025-12-04T10:29:00.9469314Z Mismatched elements: 3 / 24 (12.5%)
2025-12-04T10:29:00.9469555Z Greatest absolute difference: 0.22959615503416586 at index (1, 2, 2) (up to 0.08 allowed)
2025-12-04T10:29:00.9469884Z Greatest relative difference: 0.03982180413784518 at index (1, 2, 0) (up to 0 allowed)
2025-12-04T10:29:00.9470059Z 
2025-12-04T10:29:00.9470109Z The failure occurred for item [0]
2025-12-04T10:29:00.9470196Z 
2025-12-04T10:29:00.9470282Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9470579Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32
2025-12-04T10:29:00.9470855Z 
2025-12-04T10:29:00.9470955Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9471195Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:29:00.9471802Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/backends/cudnn/__init__.py:159: UserWarning: cuDNN Benchmark limit is not supported in MIOpen and will have no effect. (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/cuda/Module.cpp:1960.)
2025-12-04T10:29:00.9472392Z   torch._C._cuda_set_cudnn_benchmark_limit(_benchmark_limit)
2025-12-04T10:29:00.9472626Z ________ TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32 _________
2025-12-04T10:29:00.9472833Z Traceback (most recent call last):
2025-12-04T10:29:00.9473029Z   File "/var/lib/jenkins/pytorch/test/test_nn.py", line 7685, in with_tf32_on
2025-12-04T10:29:00.9473233Z     test.test_cuda(self, **kwargs)
2025-12-04T10:29:00.9473519Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_nn.py", line 3553, in test_cuda
2025-12-04T10:29:00.9473932Z     test_case.assertEqual(cpu_gradInput, gpu_gradInput, atol=self.precision, rtol=0, exact_dtype=False)
2025-12-04T10:29:00.9474349Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:29:00.9474691Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:29:00.9474875Z AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9474977Z 
2025-12-04T10:29:00.9475025Z Mismatched elements: 3 / 24 (12.5%)
2025-12-04T10:29:00.9475245Z Greatest absolute difference: 0.22959615503416586 at index (1, 2, 2) (up to 0.08 allowed)
2025-12-04T10:29:00.9475553Z Greatest relative difference: 0.03982180413784518 at index (1, 2, 0) (up to 0 allowed)
2025-12-04T10:29:00.9475731Z 
2025-12-04T10:29:00.9475780Z The failure occurred for item [0]
2025-12-04T10:29:00.9475867Z 
2025-12-04T10:29:00.9475956Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9476250Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32
2025-12-04T10:29:00.9476469Z 
2025-12-04T10:29:00.9476601Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9476838Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:29:00.9477436Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/backends/cudnn/__init__.py:159: UserWarning: cuDNN Benchmark limit is not supported in MIOpen and will have no effect. (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/cuda/Module.cpp:1960.)
2025-12-04T10:29:00.9478021Z   torch._C._cuda_set_cudnn_benchmark_limit(_benchmark_limit)
2025-12-04T10:29:00.9478303Z ________ TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32 _________
2025-12-04T10:29:00.9478511Z Traceback (most recent call last):
2025-12-04T10:29:00.9478709Z   File "/var/lib/jenkins/pytorch/test/test_nn.py", line 7685, in with_tf32_on
2025-12-04T10:29:00.9478914Z     test.test_cuda(self, **kwargs)
2025-12-04T10:29:00.9479200Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_nn.py", line 3553, in test_cuda
2025-12-04T10:29:00.9479605Z     test_case.assertEqual(cpu_gradInput, gpu_gradInput, atol=self.precision, rtol=0, exact_dtype=False)
2025-12-04T10:29:00.9480019Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:29:00.9480357Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:29:00.9480542Z AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9480641Z 
2025-12-04T10:29:00.9480689Z Mismatched elements: 3 / 24 (12.5%)
2025-12-04T10:29:00.9480906Z Greatest absolute difference: 0.22959615503416586 at index (1, 2, 2) (up to 0.08 allowed)
2025-12-04T10:29:00.9481209Z Greatest relative difference: 0.03982180413784518 at index (1, 2, 0) (up to 0 allowed)
2025-12-04T10:29:00.9481626Z 
2025-12-04T10:29:00.9481673Z The failure occurred for item [0]
2025-12-04T10:29:00.9481758Z 
2025-12-04T10:29:00.9481846Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9482140Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32
2025-12-04T10:29:00.9482356Z 
2025-12-04T10:29:00.9482458Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9482694Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:29:00.9483287Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/backends/cudnn/__init__.py:159: UserWarning: cuDNN Benchmark limit is not supported in MIOpen and will have no effect. (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/cuda/Module.cpp:1960.)
2025-12-04T10:29:00.9483870Z   torch._C._cuda_set_cudnn_benchmark_limit(_benchmark_limit)
2025-12-04T10:29:00.9484106Z ________ TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32 _________
2025-12-04T10:29:00.9484317Z Traceback (most recent call last):
2025-12-04T10:29:00.9484511Z   File "/var/lib/jenkins/pytorch/test/test_nn.py", line 7685, in with_tf32_on
2025-12-04T10:29:00.9484716Z     test.test_cuda(self, **kwargs)
2025-12-04T10:29:00.9484996Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_nn.py", line 3553, in test_cuda
2025-12-04T10:29:00.9485399Z     test_case.assertEqual(cpu_gradInput, gpu_gradInput, atol=self.precision, rtol=0, exact_dtype=False)
2025-12-04T10:29:00.9485811Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:29:00.9486148Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:29:00.9486331Z AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9486438Z 
2025-12-04T10:29:00.9486487Z Mismatched elements: 3 / 24 (12.5%)
2025-12-04T10:29:00.9486705Z Greatest absolute difference: 0.22959615503416586 at index (1, 2, 2) (up to 0.08 allowed)
2025-12-04T10:29:00.9487038Z Greatest relative difference: 0.03982180413784518 at index (1, 2, 0) (up to 0 allowed)
2025-12-04T10:29:00.9487214Z 
2025-12-04T10:29:00.9487262Z The failure occurred for item [0]
2025-12-04T10:29:00.9487350Z 
2025-12-04T10:29:00.9487436Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9487732Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32
2025-12-04T10:29:00.9487946Z 
2025-12-04T10:29:00.9488048Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9488317Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:29:00.9488909Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/backends/cudnn/__init__.py:159: UserWarning: cuDNN Benchmark limit is not supported in MIOpen and will have no effect. (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/cuda/Module.cpp:1960.)
2025-12-04T10:29:00.9489495Z   torch._C._cuda_set_cudnn_benchmark_limit(_benchmark_limit)
2025-12-04T10:29:00.9489731Z ________ TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32 _________
2025-12-04T10:29:00.9489940Z Traceback (most recent call last):
2025-12-04T10:29:00.9490137Z   File "/var/lib/jenkins/pytorch/test/test_nn.py", line 7685, in with_tf32_on
2025-12-04T10:29:00.9490339Z     test.test_cuda(self, **kwargs)
2025-12-04T10:29:00.9490622Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_nn.py", line 3553, in test_cuda
2025-12-04T10:29:00.9491024Z     test_case.assertEqual(cpu_gradInput, gpu_gradInput, atol=self.precision, rtol=0, exact_dtype=False)
2025-12-04T10:29:00.9491441Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:29:00.9491812Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:29:00.9491998Z AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9492099Z 
2025-12-04T10:29:00.9492150Z Mismatched elements: 3 / 24 (12.5%)
2025-12-04T10:29:00.9492374Z Greatest absolute difference: 0.22959615503416586 at index (1, 2, 2) (up to 0.08 allowed)
2025-12-04T10:29:00.9492678Z Greatest relative difference: 0.03982180413784518 at index (1, 2, 0) (up to 0 allowed)
2025-12-04T10:29:00.9492852Z 
2025-12-04T10:29:00.9492901Z The failure occurred for item [0]
2025-12-04T10:29:00.9492986Z 
2025-12-04T10:29:00.9493069Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9493366Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32
2025-12-04T10:29:00.9493582Z 
2025-12-04T10:29:00.9493684Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9493922Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:29:00.9494519Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/backends/cudnn/__init__.py:159: UserWarning: cuDNN Benchmark limit is not supported in MIOpen and will have no effect. (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/cuda/Module.cpp:1960.)
2025-12-04T10:29:00.9495100Z   torch._C._cuda_set_cudnn_benchmark_limit(_benchmark_limit)
2025-12-04T10:29:00.9495328Z ________ TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32 _________
2025-12-04T10:29:00.9495534Z Traceback (most recent call last):
2025-12-04T10:29:00.9495725Z   File "/var/lib/jenkins/pytorch/test/test_nn.py", line 7685, in with_tf32_on
2025-12-04T10:29:00.9495931Z     test.test_cuda(self, **kwargs)
2025-12-04T10:29:00.9496210Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_nn.py", line 3553, in test_cuda
2025-12-04T10:29:00.9496609Z     test_case.assertEqual(cpu_gradInput, gpu_gradInput, atol=self.precision, rtol=0, exact_dtype=False)
2025-12-04T10:29:00.9497027Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:29:00.9497403Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:29:00.9497585Z AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9497686Z 
2025-12-04T10:29:00.9497730Z Mismatched elements: 3 / 24 (12.5%)
2025-12-04T10:29:00.9497948Z Greatest absolute difference: 0.22959615503416586 at index (1, 2, 2) (up to 0.08 allowed)
2025-12-04T10:29:00.9498301Z Greatest relative difference: 0.03982180413784518 at index (1, 2, 0) (up to 0 allowed)
2025-12-04T10:29:00.9498476Z 
2025-12-04T10:29:00.9498521Z The failure occurred for item [0]
2025-12-04T10:29:00.9498608Z 
2025-12-04T10:29:00.9498689Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9498981Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32
2025-12-04T10:29:00.9499201Z 
2025-12-04T10:29:00.9499298Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9499534Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:29:00.9500124Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/backends/cudnn/__init__.py:159: UserWarning: cuDNN Benchmark limit is not supported in MIOpen and will have no effect. (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/cuda/Module.cpp:1960.)
2025-12-04T10:29:00.9500705Z   torch._C._cuda_set_cudnn_benchmark_limit(_benchmark_limit)
2025-12-04T10:29:00.9500936Z ________ TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32 _________
2025-12-04T10:29:00.9501141Z Traceback (most recent call last):
2025-12-04T10:29:00.9501333Z   File "/var/lib/jenkins/pytorch/test/test_nn.py", line 7685, in with_tf32_on
2025-12-04T10:29:00.9501535Z     test.test_cuda(self, **kwargs)
2025-12-04T10:29:00.9501874Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_nn.py", line 3553, in test_cuda
2025-12-04T10:29:00.9502273Z     test_case.assertEqual(cpu_gradInput, gpu_gradInput, atol=self.precision, rtol=0, exact_dtype=False)
2025-12-04T10:29:00.9502685Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:29:00.9503019Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:29:00.9503203Z AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9503304Z 
2025-12-04T10:29:00.9503349Z Mismatched elements: 3 / 24 (12.5%)
2025-12-04T10:29:00.9503565Z Greatest absolute difference: 0.22959615503416586 at index (1, 2, 2) (up to 0.08 allowed)
2025-12-04T10:29:00.9503866Z Greatest relative difference: 0.03982180413784518 at index (1, 2, 0) (up to 0 allowed)
2025-12-04T10:29:00.9504045Z 
2025-12-04T10:29:00.9504094Z The failure occurred for item [0]
2025-12-04T10:29:00.9504182Z 
2025-12-04T10:29:00.9504264Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9504558Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32
2025-12-04T10:29:00.9504774Z 
2025-12-04T10:29:00.9504872Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9505106Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:29:00.9505697Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/backends/cudnn/__init__.py:159: UserWarning: cuDNN Benchmark limit is not supported in MIOpen and will have no effect. (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/cuda/Module.cpp:1960.)
2025-12-04T10:29:00.9506276Z   torch._C._cuda_set_cudnn_benchmark_limit(_benchmark_limit)
2025-12-04T10:29:00.9506504Z ________ TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32 _________
2025-12-04T10:29:00.9506720Z Traceback (most recent call last):
2025-12-04T10:29:00.9506908Z   File "/var/lib/jenkins/pytorch/test/test_nn.py", line 7685, in with_tf32_on
2025-12-04T10:29:00.9507108Z     test.test_cuda(self, **kwargs)
2025-12-04T10:29:00.9507413Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_nn.py", line 3553, in test_cuda
2025-12-04T10:29:00.9507813Z     test_case.assertEqual(cpu_gradInput, gpu_gradInput, atol=self.precision, rtol=0, exact_dtype=False)
2025-12-04T10:29:00.9508284Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:29:00.9508618Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:29:00.9508796Z AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9508897Z 
2025-12-04T10:29:00.9508941Z Mismatched elements: 3 / 24 (12.5%)
2025-12-04T10:29:00.9509155Z Greatest absolute difference: 0.22959615503416586 at index (1, 2, 2) (up to 0.08 allowed)
2025-12-04T10:29:00.9509458Z Greatest relative difference: 0.03982180413784518 at index (1, 2, 0) (up to 0 allowed)
2025-12-04T10:29:00.9509633Z 
2025-12-04T10:29:00.9509679Z The failure occurred for item [0]
2025-12-04T10:29:00.9509772Z 
2025-12-04T10:29:00.9509853Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9510140Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32
2025-12-04T10:29:00.9510352Z 
2025-12-04T10:29:00.9510450Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9510677Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:29:00.9511259Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/backends/cudnn/__init__.py:159: UserWarning: cuDNN Benchmark limit is not supported in MIOpen and will have no effect. (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/cuda/Module.cpp:1960.)
2025-12-04T10:29:00.9511873Z   torch._C._cuda_set_cudnn_benchmark_limit(_benchmark_limit)
2025-12-04T10:29:00.9512103Z ________ TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32 _________
2025-12-04T10:29:00.9512311Z Traceback (most recent call last):
2025-12-04T10:29:00.9512503Z   File "/var/lib/jenkins/pytorch/test/test_nn.py", line 7685, in with_tf32_on
2025-12-04T10:29:00.9512701Z     test.test_cuda(self, **kwargs)
2025-12-04T10:29:00.9512977Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_nn.py", line 3553, in test_cuda
2025-12-04T10:29:00.9513374Z     test_case.assertEqual(cpu_gradInput, gpu_gradInput, atol=self.precision, rtol=0, exact_dtype=False)
2025-12-04T10:29:00.9513788Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:29:00.9514120Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:29:00.9514301Z AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9514400Z 
2025-12-04T10:29:00.9514444Z Mismatched elements: 3 / 24 (12.5%)
2025-12-04T10:29:00.9514661Z Greatest absolute difference: 0.22959615503416586 at index (1, 2, 2) (up to 0.08 allowed)
2025-12-04T10:29:00.9514959Z Greatest relative difference: 0.03982180413784518 at index (1, 2, 0) (up to 0 allowed)
2025-12-04T10:29:00.9515134Z 
2025-12-04T10:29:00.9515181Z The failure occurred for item [0]
2025-12-04T10:29:00.9515265Z 
2025-12-04T10:29:00.9515347Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9515639Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32
2025-12-04T10:29:00.9515854Z 
2025-12-04T10:29:00.9515956Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9516189Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:29:00.9516787Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/backends/cudnn/__init__.py:159: UserWarning: cuDNN Benchmark limit is not supported in MIOpen and will have no effect. (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/cuda/Module.cpp:1960.)
2025-12-04T10:29:00.9517409Z   torch._C._cuda_set_cudnn_benchmark_limit(_benchmark_limit)
2025-12-04T10:29:00.9517639Z ________ TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32 _________
2025-12-04T10:29:00.9517843Z Traceback (most recent call last):
2025-12-04T10:29:00.9518034Z   File "/var/lib/jenkins/pytorch/test/test_nn.py", line 7685, in with_tf32_on
2025-12-04T10:29:00.9518284Z     test.test_cuda(self, **kwargs)
2025-12-04T10:29:00.9518570Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_nn.py", line 3553, in test_cuda
2025-12-04T10:29:00.9518973Z     test_case.assertEqual(cpu_gradInput, gpu_gradInput, atol=self.precision, rtol=0, exact_dtype=False)
2025-12-04T10:29:00.9519385Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:29:00.9519725Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:29:00.9519909Z AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9520009Z 
2025-12-04T10:29:00.9520056Z Mismatched elements: 3 / 24 (12.5%)
2025-12-04T10:29:00.9520275Z Greatest absolute difference: 0.22959615503416586 at index (1, 2, 2) (up to 0.08 allowed)
2025-12-04T10:29:00.9520583Z Greatest relative difference: 0.03982180413784518 at index (1, 2, 0) (up to 0 allowed)
2025-12-04T10:29:00.9520760Z 
2025-12-04T10:29:00.9520808Z The failure occurred for item [0]
2025-12-04T10:29:00.9520894Z 
2025-12-04T10:29:00.9520977Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9521270Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32
2025-12-04T10:29:00.9521489Z 
2025-12-04T10:29:00.9521624Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9521856Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:29:00.9522447Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/backends/cudnn/__init__.py:159: UserWarning: cuDNN Benchmark limit is not supported in MIOpen and will have no effect. (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/cuda/Module.cpp:1960.)
2025-12-04T10:29:00.9523025Z   torch._C._cuda_set_cudnn_benchmark_limit(_benchmark_limit)
2025-12-04T10:29:00.9523256Z ________ TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32 _________
2025-12-04T10:29:00.9523463Z Traceback (most recent call last):
2025-12-04T10:29:00.9523656Z   File "/var/lib/jenkins/pytorch/test/test_nn.py", line 7685, in with_tf32_on
2025-12-04T10:29:00.9523857Z     test.test_cuda(self, **kwargs)
2025-12-04T10:29:00.9524139Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_nn.py", line 3553, in test_cuda
2025-12-04T10:29:00.9524538Z     test_case.assertEqual(cpu_gradInput, gpu_gradInput, atol=self.precision, rtol=0, exact_dtype=False)
2025-12-04T10:29:00.9524949Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:29:00.9525285Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:29:00.9525468Z AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9525567Z 
2025-12-04T10:29:00.9525615Z Mismatched elements: 3 / 24 (12.5%)
2025-12-04T10:29:00.9525829Z Greatest absolute difference: 0.22959615503416586 at index (1, 2, 2) (up to 0.08 allowed)
2025-12-04T10:29:00.9526126Z Greatest relative difference: 0.03982180413784518 at index (1, 2, 0) (up to 0 allowed)
2025-12-04T10:29:00.9526300Z 
2025-12-04T10:29:00.9526349Z The failure occurred for item [0]
2025-12-04T10:29:00.9526434Z 
2025-12-04T10:29:00.9526516Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9526814Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32
2025-12-04T10:29:00.9527028Z 
2025-12-04T10:29:00.9527160Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9527393Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:29:00.9527979Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/backends/cudnn/__init__.py:159: UserWarning: cuDNN Benchmark limit is not supported in MIOpen and will have no effect. (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/cuda/Module.cpp:1960.)
2025-12-04T10:29:00.9528591Z   torch._C._cuda_set_cudnn_benchmark_limit(_benchmark_limit)
2025-12-04T10:29:00.9528821Z ________ TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32 _________
2025-12-04T10:29:00.9529030Z Traceback (most recent call last):
2025-12-04T10:29:00.9529229Z   File "/var/lib/jenkins/pytorch/test/test_nn.py", line 7685, in with_tf32_on
2025-12-04T10:29:00.9529435Z     test.test_cuda(self, **kwargs)
2025-12-04T10:29:00.9529717Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_nn.py", line 3553, in test_cuda
2025-12-04T10:29:00.9530119Z     test_case.assertEqual(cpu_gradInput, gpu_gradInput, atol=self.precision, rtol=0, exact_dtype=False)
2025-12-04T10:29:00.9530531Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:29:00.9530869Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:29:00.9531050Z AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9531152Z 
2025-12-04T10:29:00.9531198Z Mismatched elements: 3 / 24 (12.5%)
2025-12-04T10:29:00.9531418Z Greatest absolute difference: 0.22959615503416586 at index (1, 2, 2) (up to 0.08 allowed)
2025-12-04T10:29:00.9531718Z Greatest relative difference: 0.03982180413784518 at index (1, 2, 0) (up to 0 allowed)
2025-12-04T10:29:00.9531925Z 
2025-12-04T10:29:00.9531974Z The failure occurred for item [0]
2025-12-04T10:29:00.9532062Z 
2025-12-04T10:29:00.9532145Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9532441Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32
2025-12-04T10:29:00.9532655Z 
2025-12-04T10:29:00.9532757Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9532991Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:29:00.9533584Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/backends/cudnn/__init__.py:159: UserWarning: cuDNN Benchmark limit is not supported in MIOpen and will have no effect. (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/cuda/Module.cpp:1960.)
2025-12-04T10:29:00.9534171Z   torch._C._cuda_set_cudnn_benchmark_limit(_benchmark_limit)
2025-12-04T10:29:00.9534404Z ________ TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32 _________
2025-12-04T10:29:00.9534609Z Traceback (most recent call last):
2025-12-04T10:29:00.9534804Z   File "/var/lib/jenkins/pytorch/test/test_nn.py", line 7685, in with_tf32_on
2025-12-04T10:29:00.9535006Z     test.test_cuda(self, **kwargs)
2025-12-04T10:29:00.9535285Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_nn.py", line 3553, in test_cuda
2025-12-04T10:29:00.9535684Z     test_case.assertEqual(cpu_gradInput, gpu_gradInput, atol=self.precision, rtol=0, exact_dtype=False)
2025-12-04T10:29:00.9536121Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:29:00.9536457Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:29:00.9536639Z AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9536738Z 
2025-12-04T10:29:00.9536785Z Mismatched elements: 3 / 24 (12.5%)
2025-12-04T10:29:00.9537011Z Greatest absolute difference: 0.22959615503416586 at index (1, 2, 2) (up to 0.08 allowed)
2025-12-04T10:29:00.9537317Z Greatest relative difference: 0.03982180413784518 at index (1, 2, 0) (up to 0 allowed)
2025-12-04T10:29:00.9537533Z 
2025-12-04T10:29:00.9537582Z The failure occurred for item [0]
2025-12-04T10:29:00.9537670Z 
2025-12-04T10:29:00.9537753Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9538051Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32
2025-12-04T10:29:00.9538311Z 
2025-12-04T10:29:00.9538413Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9538644Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:29:00.9539233Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/backends/cudnn/__init__.py:159: UserWarning: cuDNN Benchmark limit is not supported in MIOpen and will have no effect. (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/cuda/Module.cpp:1960.)
2025-12-04T10:29:00.9539824Z   torch._C._cuda_set_cudnn_benchmark_limit(_benchmark_limit)
2025-12-04T10:29:00.9540056Z ________ TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32 _________
2025-12-04T10:29:00.9540265Z Traceback (most recent call last):
2025-12-04T10:29:00.9540455Z   File "/var/lib/jenkins/pytorch/test/test_nn.py", line 7685, in with_tf32_on
2025-12-04T10:29:00.9540659Z     test.test_cuda(self, **kwargs)
2025-12-04T10:29:00.9540937Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_nn.py", line 3553, in test_cuda
2025-12-04T10:29:00.9541336Z     test_case.assertEqual(cpu_gradInput, gpu_gradInput, atol=self.precision, rtol=0, exact_dtype=False)
2025-12-04T10:29:00.9541743Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:29:00.9542115Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:29:00.9542299Z AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9542399Z 
2025-12-04T10:29:00.9542447Z Mismatched elements: 3 / 24 (12.5%)
2025-12-04T10:29:00.9542664Z Greatest absolute difference: 0.22959615503416586 at index (1, 2, 2) (up to 0.08 allowed)
2025-12-04T10:29:00.9542964Z Greatest relative difference: 0.03982180413784518 at index (1, 2, 0) (up to 0 allowed)
2025-12-04T10:29:00.9543137Z 
2025-12-04T10:29:00.9543184Z The failure occurred for item [0]
2025-12-04T10:29:00.9543270Z 
2025-12-04T10:29:00.9543354Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9543648Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32
2025-12-04T10:29:00.9543866Z 
2025-12-04T10:29:00.9543967Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9544200Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:29:00.9544803Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/backends/cudnn/__init__.py:159: UserWarning: cuDNN Benchmark limit is not supported in MIOpen and will have no effect. (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/cuda/Module.cpp:1960.)
2025-12-04T10:29:00.9545388Z   torch._C._cuda_set_cudnn_benchmark_limit(_benchmark_limit)
2025-12-04T10:29:00.9545622Z ________ TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32 _________
2025-12-04T10:29:00.9545830Z Traceback (most recent call last):
2025-12-04T10:29:00.9546022Z   File "/var/lib/jenkins/pytorch/test/test_nn.py", line 7685, in with_tf32_on
2025-12-04T10:29:00.9546224Z     test.test_cuda(self, **kwargs)
2025-12-04T10:29:00.9546505Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_nn.py", line 3553, in test_cuda
2025-12-04T10:29:00.9546909Z     test_case.assertEqual(cpu_gradInput, gpu_gradInput, atol=self.precision, rtol=0, exact_dtype=False)
2025-12-04T10:29:00.9547325Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:29:00.9547697Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:29:00.9547881Z AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9547981Z 
2025-12-04T10:29:00.9548028Z Mismatched elements: 3 / 24 (12.5%)
2025-12-04T10:29:00.9548287Z Greatest absolute difference: 0.22959615503416586 at index (1, 2, 2) (up to 0.08 allowed)
2025-12-04T10:29:00.9548585Z Greatest relative difference: 0.03982180413784518 at index (1, 2, 0) (up to 0 allowed)
2025-12-04T10:29:00.9548760Z 
2025-12-04T10:29:00.9548808Z The failure occurred for item [0]
2025-12-04T10:29:00.9548894Z 
2025-12-04T10:29:00.9548977Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9549267Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32
2025-12-04T10:29:00.9549482Z 
2025-12-04T10:29:00.9549584Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9549824Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:29:00.9550421Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/backends/cudnn/__init__.py:159: UserWarning: cuDNN Benchmark limit is not supported in MIOpen and will have no effect. (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/cuda/Module.cpp:1960.)
2025-12-04T10:29:00.9551002Z   torch._C._cuda_set_cudnn_benchmark_limit(_benchmark_limit)
2025-12-04T10:29:00.9551232Z ________ TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32 _________
2025-12-04T10:29:00.9551439Z Traceback (most recent call last):
2025-12-04T10:29:00.9551631Z   File "/var/lib/jenkins/pytorch/test/test_nn.py", line 7685, in with_tf32_on
2025-12-04T10:29:00.9551835Z     test.test_cuda(self, **kwargs)
2025-12-04T10:29:00.9552146Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_nn.py", line 3553, in test_cuda
2025-12-04T10:29:00.9552551Z     test_case.assertEqual(cpu_gradInput, gpu_gradInput, atol=self.precision, rtol=0, exact_dtype=False)
2025-12-04T10:29:00.9552958Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:29:00.9553293Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:29:00.9553474Z AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9553575Z 
2025-12-04T10:29:00.9553622Z Mismatched elements: 3 / 24 (12.5%)
2025-12-04T10:29:00.9553837Z Greatest absolute difference: 0.22959615503416586 at index (1, 2, 2) (up to 0.08 allowed)
2025-12-04T10:29:00.9554139Z Greatest relative difference: 0.03982180413784518 at index (1, 2, 0) (up to 0 allowed)
2025-12-04T10:29:00.9554312Z 
2025-12-04T10:29:00.9554362Z The failure occurred for item [0]
2025-12-04T10:29:00.9554455Z 
2025-12-04T10:29:00.9554539Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9554833Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32
2025-12-04T10:29:00.9555049Z 
2025-12-04T10:29:00.9555153Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9555387Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:29:00.9555981Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/backends/cudnn/__init__.py:159: UserWarning: cuDNN Benchmark limit is not supported in MIOpen and will have no effect. (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/cuda/Module.cpp:1960.)
2025-12-04T10:29:00.9556560Z   torch._C._cuda_set_cudnn_benchmark_limit(_benchmark_limit)
2025-12-04T10:29:00.9556789Z ________ TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32 _________
2025-12-04T10:29:00.9556996Z Traceback (most recent call last):
2025-12-04T10:29:00.9557187Z   File "/var/lib/jenkins/pytorch/test/test_nn.py", line 7685, in with_tf32_on
2025-12-04T10:29:00.9557386Z     test.test_cuda(self, **kwargs)
2025-12-04T10:29:00.9557695Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_nn.py", line 3553, in test_cuda
2025-12-04T10:29:00.9558126Z     test_case.assertEqual(cpu_gradInput, gpu_gradInput, atol=self.precision, rtol=0, exact_dtype=False)
2025-12-04T10:29:00.9558537Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:29:00.9558871Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:29:00.9559054Z AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9559154Z 
2025-12-04T10:29:00.9559203Z Mismatched elements: 3 / 24 (12.5%)
2025-12-04T10:29:00.9559421Z Greatest absolute difference: 0.22959615503416586 at index (1, 2, 2) (up to 0.08 allowed)
2025-12-04T10:29:00.9559728Z Greatest relative difference: 0.03982180413784518 at index (1, 2, 0) (up to 0 allowed)
2025-12-04T10:29:00.9559902Z 
2025-12-04T10:29:00.9559949Z The failure occurred for item [0]
2025-12-04T10:29:00.9560035Z 
2025-12-04T10:29:00.9560122Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9560417Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32
2025-12-04T10:29:00.9560632Z 
2025-12-04T10:29:00.9560733Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9560966Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:29:00.9561556Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/backends/cudnn/__init__.py:159: UserWarning: cuDNN Benchmark limit is not supported in MIOpen and will have no effect. (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/cuda/Module.cpp:1960.)
2025-12-04T10:29:00.9562179Z   torch._C._cuda_set_cudnn_benchmark_limit(_benchmark_limit)
2025-12-04T10:29:00.9562411Z ________ TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32 _________
2025-12-04T10:29:00.9562616Z Traceback (most recent call last):
2025-12-04T10:29:00.9562809Z   File "/var/lib/jenkins/pytorch/test/test_nn.py", line 7685, in with_tf32_on
2025-12-04T10:29:00.9563012Z     test.test_cuda(self, **kwargs)
2025-12-04T10:29:00.9563288Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_nn.py", line 3553, in test_cuda
2025-12-04T10:29:00.9563687Z     test_case.assertEqual(cpu_gradInput, gpu_gradInput, atol=self.precision, rtol=0, exact_dtype=False)
2025-12-04T10:29:00.9564094Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:29:00.9564429Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:29:00.9564609Z AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9564711Z 
2025-12-04T10:29:00.9564757Z Mismatched elements: 3 / 24 (12.5%)
2025-12-04T10:29:00.9564968Z Greatest absolute difference: 0.22959615503416586 at index (1, 2, 2) (up to 0.08 allowed)
2025-12-04T10:29:00.9565268Z Greatest relative difference: 0.03982180413784518 at index (1, 2, 0) (up to 0 allowed)
2025-12-04T10:29:00.9565439Z 
2025-12-04T10:29:00.9565485Z The failure occurred for item [0]
2025-12-04T10:29:00.9565569Z 
2025-12-04T10:29:00.9565650Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9565938Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32
2025-12-04T10:29:00.9566152Z 
2025-12-04T10:29:00.9566251Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9566478Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:29:00.9567066Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/backends/cudnn/__init__.py:159: UserWarning: cuDNN Benchmark limit is not supported in MIOpen and will have no effect. (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/cuda/Module.cpp:1960.)
2025-12-04T10:29:00.9567677Z   torch._C._cuda_set_cudnn_benchmark_limit(_benchmark_limit)
2025-12-04T10:29:00.9567784Z ________ TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32 _________
2025-12-04T10:29:00.9567831Z Traceback (most recent call last):
2025-12-04T10:29:00.9567936Z   File "/var/lib/jenkins/pytorch/test/test_nn.py", line 7685, in with_tf32_on
2025-12-04T10:29:00.9567980Z     test.test_cuda(self, **kwargs)
2025-12-04T10:29:00.9568231Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_nn.py", line 3553, in test_cuda
2025-12-04T10:29:00.9568382Z     test_case.assertEqual(cpu_gradInput, gpu_gradInput, atol=self.precision, rtol=0, exact_dtype=False)
2025-12-04T10:29:00.9568599Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:29:00.9568687Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:29:00.9568743Z AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9568747Z 
2025-12-04T10:29:00.9568793Z Mismatched elements: 3 / 24 (12.5%)
2025-12-04T10:29:00.9568929Z Greatest absolute difference: 0.22959615503416586 at index (1, 2, 2) (up to 0.08 allowed)
2025-12-04T10:29:00.9569058Z Greatest relative difference: 0.03982180413784518 at index (1, 2, 0) (up to 0 allowed)
2025-12-04T10:29:00.9569060Z 
2025-12-04T10:29:00.9569107Z The failure occurred for item [0]
2025-12-04T10:29:00.9569109Z 
2025-12-04T10:29:00.9569197Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9569359Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32
2025-12-04T10:29:00.9569362Z 
2025-12-04T10:29:00.9569460Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9569589Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:29:00.9570084Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/backends/cudnn/__init__.py:159: UserWarning: cuDNN Benchmark limit is not supported in MIOpen and will have no effect. (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/cuda/Module.cpp:1960.)
2025-12-04T10:29:00.9570164Z   torch._C._cuda_set_cudnn_benchmark_limit(_benchmark_limit)
2025-12-04T10:29:00.9570272Z ________ TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32 _________
2025-12-04T10:29:00.9570320Z Traceback (most recent call last):
2025-12-04T10:29:00.9570425Z   File "/var/lib/jenkins/pytorch/test/test_nn.py", line 7685, in with_tf32_on
2025-12-04T10:29:00.9570470Z     test.test_cuda(self, **kwargs)
2025-12-04T10:29:00.9570677Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_nn.py", line 3553, in test_cuda
2025-12-04T10:29:00.9570846Z     test_case.assertEqual(cpu_gradInput, gpu_gradInput, atol=self.precision, rtol=0, exact_dtype=False)
2025-12-04T10:29:00.9571070Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:29:00.9571153Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:29:00.9571209Z AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9571211Z 
2025-12-04T10:29:00.9571256Z Mismatched elements: 3 / 24 (12.5%)
2025-12-04T10:29:00.9571392Z Greatest absolute difference: 0.22959615503416586 at index (1, 2, 2) (up to 0.08 allowed)
2025-12-04T10:29:00.9571510Z Greatest relative difference: 0.03982180413784518 at index (1, 2, 0) (up to 0 allowed)
2025-12-04T10:29:00.9571512Z 
2025-12-04T10:29:00.9571556Z The failure occurred for item [0]
2025-12-04T10:29:00.9571558Z 
2025-12-04T10:29:00.9571639Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9571821Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32
2025-12-04T10:29:00.9571823Z 
2025-12-04T10:29:00.9571931Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9572042Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:29:00.9572531Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/backends/cudnn/__init__.py:159: UserWarning: cuDNN Benchmark limit is not supported in MIOpen and will have no effect. (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/cuda/Module.cpp:1960.)
2025-12-04T10:29:00.9572611Z   torch._C._cuda_set_cudnn_benchmark_limit(_benchmark_limit)
2025-12-04T10:29:00.9572705Z ______________ TestNN.test_Transformer_multilayer_coder_cuda_tf32 ______________
2025-12-04T10:29:00.9572753Z Traceback (most recent call last):
2025-12-04T10:29:00.9572859Z   File "/var/lib/jenkins/pytorch/test/test_nn.py", line 7685, in with_tf32_on
2025-12-04T10:29:00.9572907Z     test.test_cuda(self, **kwargs)
2025-12-04T10:29:00.9573113Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_nn.py", line 3553, in test_cuda
2025-12-04T10:29:00.9573267Z     test_case.assertEqual(cpu_gradInput, gpu_gradInput, atol=self.precision, rtol=0, exact_dtype=False)
2025-12-04T10:29:00.9573472Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:29:00.9573550Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:29:00.9573606Z AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9573608Z 
2025-12-04T10:29:00.9573653Z Mismatched elements: 1 / 24 (4.2%)
2025-12-04T10:29:00.9573788Z Greatest absolute difference: 0.12506680249770774 at index (1, 0, 2) (up to 0.05 allowed)
2025-12-04T10:29:00.9573906Z Greatest relative difference: 0.01407432720269724 at index (1, 0, 2) (up to 0 allowed)
2025-12-04T10:29:00.9573931Z 
2025-12-04T10:29:00.9573975Z The failure occurred for item [1]
2025-12-04T10:29:00.9573977Z 
2025-12-04T10:29:00.9574059Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9574215Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_Transformer_multilayer_coder_cuda_tf32
2025-12-04T10:29:00.9574217Z 
2025-12-04T10:29:00.9574317Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9574397Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:29:00.9574923Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py:144: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.self_attn.batch_first was not True(use batch_first for better inference performance)
2025-12-04T10:29:00.9574979Z   self.encoder = TransformerEncoder(
2025-12-04T10:29:00.9575082Z ______________ TestNN.test_Transformer_multilayer_coder_cuda_tf32 ______________
2025-12-04T10:29:00.9575132Z Traceback (most recent call last):
2025-12-04T10:29:00.9575244Z   File "/var/lib/jenkins/pytorch/test/test_nn.py", line 7685, in with_tf32_on
2025-12-04T10:29:00.9575290Z     test.test_cuda(self, **kwargs)
2025-12-04T10:29:00.9575497Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_nn.py", line 3553, in test_cuda
2025-12-04T10:29:00.9575662Z     test_case.assertEqual(cpu_gradInput, gpu_gradInput, atol=self.precision, rtol=0, exact_dtype=False)
2025-12-04T10:29:00.9575882Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:29:00.9575964Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:29:00.9576020Z AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9576022Z 
2025-12-04T10:29:00.9576066Z Mismatched elements: 1 / 24 (4.2%)
2025-12-04T10:29:00.9576204Z Greatest absolute difference: 0.12506680249770774 at index (1, 0, 2) (up to 0.05 allowed)
2025-12-04T10:29:00.9576325Z Greatest relative difference: 0.01407432720269724 at index (1, 0, 2) (up to 0 allowed)
2025-12-04T10:29:00.9576327Z 
2025-12-04T10:29:00.9576390Z The failure occurred for item [1]
2025-12-04T10:29:00.9576392Z 
2025-12-04T10:29:00.9576474Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9576625Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_Transformer_multilayer_coder_cuda_tf32
2025-12-04T10:29:00.9576627Z 
2025-12-04T10:29:00.9576726Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9576806Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:29:00.9577330Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py:144: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.self_attn.batch_first was not True(use batch_first for better inference performance)
2025-12-04T10:29:00.9577383Z   self.encoder = TransformerEncoder(
2025-12-04T10:29:00.9577478Z ______________ TestNN.test_Transformer_multilayer_coder_cuda_tf32 ______________
2025-12-04T10:29:00.9577527Z Traceback (most recent call last):
2025-12-04T10:29:00.9577633Z   File "/var/lib/jenkins/pytorch/test/test_nn.py", line 7685, in with_tf32_on
2025-12-04T10:29:00.9577676Z     test.test_cuda(self, **kwargs)
2025-12-04T10:29:00.9577881Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_nn.py", line 3553, in test_cuda
2025-12-04T10:29:00.9578045Z     test_case.assertEqual(cpu_gradInput, gpu_gradInput, atol=self.precision, rtol=0, exact_dtype=False)
2025-12-04T10:29:00.9578316Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:29:00.9578399Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:29:00.9578485Z AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9578487Z 
2025-12-04T10:29:00.9578532Z Mismatched elements: 1 / 24 (4.2%)
2025-12-04T10:29:00.9578670Z Greatest absolute difference: 0.12506680249770774 at index (1, 0, 2) (up to 0.05 allowed)
2025-12-04T10:29:00.9578798Z Greatest relative difference: 0.01407432720269724 at index (1, 0, 2) (up to 0 allowed)
2025-12-04T10:29:00.9578800Z 
2025-12-04T10:29:00.9578846Z The failure occurred for item [1]
2025-12-04T10:29:00.9578847Z 
2025-12-04T10:29:00.9578935Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9579085Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_Transformer_multilayer_coder_cuda_tf32
2025-12-04T10:29:00.9579087Z 
2025-12-04T10:29:00.9579185Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9579264Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:29:00.9579786Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py:144: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.self_attn.batch_first was not True(use batch_first for better inference performance)
2025-12-04T10:29:00.9579838Z   self.encoder = TransformerEncoder(
2025-12-04T10:29:00.9579933Z ______________ TestNN.test_Transformer_multilayer_coder_cuda_tf32 ______________
2025-12-04T10:29:00.9579980Z Traceback (most recent call last):
2025-12-04T10:29:00.9580086Z   File "/var/lib/jenkins/pytorch/test/test_nn.py", line 7685, in with_tf32_on
2025-12-04T10:29:00.9580130Z     test.test_cuda(self, **kwargs)
2025-12-04T10:29:00.9580338Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_nn.py", line 3553, in test_cuda
2025-12-04T10:29:00.9580503Z     test_case.assertEqual(cpu_gradInput, gpu_gradInput, atol=self.precision, rtol=0, exact_dtype=False)
2025-12-04T10:29:00.9580721Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:29:00.9580806Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:29:00.9580861Z AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9580887Z 
2025-12-04T10:29:00.9580932Z Mismatched elements: 1 / 24 (4.2%)
2025-12-04T10:29:00.9581066Z Greatest absolute difference: 0.12506680249770774 at index (1, 0, 2) (up to 0.05 allowed)
2025-12-04T10:29:00.9581184Z Greatest relative difference: 0.01407432720269724 at index (1, 0, 2) (up to 0 allowed)
2025-12-04T10:29:00.9581186Z 
2025-12-04T10:29:00.9581229Z The failure occurred for item [1]
2025-12-04T10:29:00.9581230Z 
2025-12-04T10:29:00.9581311Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9581462Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_Transformer_multilayer_coder_cuda_tf32
2025-12-04T10:29:00.9581464Z 
2025-12-04T10:29:00.9581563Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9581644Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:29:00.9582133Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py:144: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.self_attn.batch_first was not True(use batch_first for better inference performance)
2025-12-04T10:29:00.9582181Z   self.encoder = TransformerEncoder(
2025-12-04T10:29:00.9582276Z ______________ TestNN.test_Transformer_multilayer_coder_cuda_tf32 ______________
2025-12-04T10:29:00.9582320Z Traceback (most recent call last):
2025-12-04T10:29:00.9582427Z   File "/var/lib/jenkins/pytorch/test/test_nn.py", line 7685, in with_tf32_on
2025-12-04T10:29:00.9582470Z     test.test_cuda(self, **kwargs)
2025-12-04T10:29:00.9582666Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_nn.py", line 3553, in test_cuda
2025-12-04T10:29:00.9582852Z     test_case.assertEqual(cpu_gradInput, gpu_gradInput, atol=self.precision, rtol=0, exact_dtype=False)
2025-12-04T10:29:00.9583073Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:29:00.9583155Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:29:00.9583210Z AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9583212Z 
2025-12-04T10:29:00.9583258Z Mismatched elements: 1 / 24 (4.2%)
2025-12-04T10:29:00.9583393Z Greatest absolute difference: 0.12506680249770774 at index (1, 0, 2) (up to 0.05 allowed)
2025-12-04T10:29:00.9583523Z Greatest relative difference: 0.01407432720269724 at index (1, 0, 2) (up to 0 allowed)
2025-12-04T10:29:00.9583524Z 
2025-12-04T10:29:00.9583570Z The failure occurred for item [1]
2025-12-04T10:29:00.9583572Z 
2025-12-04T10:29:00.9583659Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9583812Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_Transformer_multilayer_coder_cuda_tf32
2025-12-04T10:29:00.9583814Z 
2025-12-04T10:29:00.9583919Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9584001Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:29:00.9584526Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py:144: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.self_attn.batch_first was not True(use batch_first for better inference performance)
2025-12-04T10:29:00.9584575Z   self.encoder = TransformerEncoder(
2025-12-04T10:29:00.9584669Z ______________ TestNN.test_Transformer_multilayer_coder_cuda_tf32 ______________
2025-12-04T10:29:00.9584713Z Traceback (most recent call last):
2025-12-04T10:29:00.9584819Z   File "/var/lib/jenkins/pytorch/test/test_nn.py", line 7685, in with_tf32_on
2025-12-04T10:29:00.9584864Z     test.test_cuda(self, **kwargs)
2025-12-04T10:29:00.9585075Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_nn.py", line 3553, in test_cuda
2025-12-04T10:29:00.9585259Z     test_case.assertEqual(cpu_gradInput, gpu_gradInput, atol=self.precision, rtol=0, exact_dtype=False)
2025-12-04T10:29:00.9585483Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:29:00.9585564Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:29:00.9585621Z AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9585622Z 
2025-12-04T10:29:00.9585666Z Mismatched elements: 1 / 24 (4.2%)
2025-12-04T10:29:00.9585802Z Greatest absolute difference: 0.12506680249770774 at index (1, 0, 2) (up to 0.05 allowed)
2025-12-04T10:29:00.9585921Z Greatest relative difference: 0.01407432720269724 at index (1, 0, 2) (up to 0 allowed)
2025-12-04T10:29:00.9585922Z 
2025-12-04T10:29:00.9585967Z The failure occurred for item [1]
2025-12-04T10:29:00.9585969Z 
2025-12-04T10:29:00.9586050Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9586203Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_Transformer_multilayer_coder_cuda_tf32
2025-12-04T10:29:00.9586205Z 
2025-12-04T10:29:00.9586305Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9586383Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:29:00.9586913Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py:144: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.self_attn.batch_first was not True(use batch_first for better inference performance)
2025-12-04T10:29:00.9586962Z   self.encoder = TransformerEncoder(
2025-12-04T10:29:00.9587057Z ______________ TestNN.test_Transformer_multilayer_coder_cuda_tf32 ______________
2025-12-04T10:29:00.9587136Z Traceback (most recent call last):
2025-12-04T10:29:00.9587241Z   File "/var/lib/jenkins/pytorch/test/test_nn.py", line 7685, in with_tf32_on
2025-12-04T10:29:00.9587284Z     test.test_cuda(self, **kwargs)
2025-12-04T10:29:00.9587492Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_nn.py", line 3553, in test_cuda
2025-12-04T10:29:00.9587654Z     test_case.assertEqual(cpu_gradInput, gpu_gradInput, atol=self.precision, rtol=0, exact_dtype=False)
2025-12-04T10:29:00.9587874Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:29:00.9587955Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:29:00.9588012Z AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9588014Z 
2025-12-04T10:29:00.9588057Z Mismatched elements: 1 / 24 (4.2%)
2025-12-04T10:29:00.9588233Z Greatest absolute difference: 0.12506680249770774 at index (1, 0, 2) (up to 0.05 allowed)
2025-12-04T10:29:00.9588361Z Greatest relative difference: 0.01407432720269724 at index (1, 0, 2) (up to 0 allowed)
2025-12-04T10:29:00.9588364Z 
2025-12-04T10:29:00.9588408Z The failure occurred for item [1]
2025-12-04T10:29:00.9588411Z 
2025-12-04T10:29:00.9588491Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9588644Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_Transformer_multilayer_coder_cuda_tf32
2025-12-04T10:29:00.9588646Z 
2025-12-04T10:29:00.9588753Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9588832Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:29:00.9589313Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py:144: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.self_attn.batch_first was not True(use batch_first for better inference performance)
2025-12-04T10:29:00.9589362Z   self.encoder = TransformerEncoder(
2025-12-04T10:29:00.9589456Z ______________ TestNN.test_Transformer_multilayer_coder_cuda_tf32 ______________
2025-12-04T10:29:00.9589527Z Traceback (most recent call last):
2025-12-04T10:29:00.9589641Z   File "/var/lib/jenkins/pytorch/test/test_nn.py", line 7685, in with_tf32_on
2025-12-04T10:29:00.9589684Z     test.test_cuda(self, **kwargs)
2025-12-04T10:29:00.9589892Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_nn.py", line 3553, in test_cuda
2025-12-04T10:29:00.9590054Z     test_case.assertEqual(cpu_gradInput, gpu_gradInput, atol=self.precision, rtol=0, exact_dtype=False)
2025-12-04T10:29:00.9590273Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:29:00.9590354Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:29:00.9590409Z AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9590413Z 
2025-12-04T10:29:00.9590456Z Mismatched elements: 1 / 24 (4.2%)
2025-12-04T10:29:00.9590595Z Greatest absolute difference: 0.12506680249770774 at index (1, 0, 2) (up to 0.05 allowed)
2025-12-04T10:29:00.9590723Z Greatest relative difference: 0.01407432720269724 at index (1, 0, 2) (up to 0 allowed)
2025-12-04T10:29:00.9590725Z 
2025-12-04T10:29:00.9590769Z The failure occurred for item [1]
2025-12-04T10:29:00.9590770Z 
2025-12-04T10:29:00.9590849Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9591004Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_Transformer_multilayer_coder_cuda_tf32
2025-12-04T10:29:00.9591006Z 
2025-12-04T10:29:00.9591105Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9591186Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:29:00.9591711Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py:144: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.self_attn.batch_first was not True(use batch_first for better inference performance)
2025-12-04T10:29:00.9591786Z   self.encoder = TransformerEncoder(
2025-12-04T10:29:00.9591880Z ______________ TestNN.test_Transformer_multilayer_coder_cuda_tf32 ______________
2025-12-04T10:29:00.9591927Z Traceback (most recent call last):
2025-12-04T10:29:00.9592033Z   File "/var/lib/jenkins/pytorch/test/test_nn.py", line 7685, in with_tf32_on
2025-12-04T10:29:00.9592075Z     test.test_cuda(self, **kwargs)
2025-12-04T10:29:00.9592270Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_nn.py", line 3553, in test_cuda
2025-12-04T10:29:00.9592433Z     test_case.assertEqual(cpu_gradInput, gpu_gradInput, atol=self.precision, rtol=0, exact_dtype=False)
2025-12-04T10:29:00.9592652Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:29:00.9592735Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:29:00.9592792Z AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9592794Z 
2025-12-04T10:29:00.9592839Z Mismatched elements: 1 / 24 (4.2%)
2025-12-04T10:29:00.9592974Z Greatest absolute difference: 0.12506680249770774 at index (1, 0, 2) (up to 0.05 allowed)
2025-12-04T10:29:00.9593091Z Greatest relative difference: 0.01407432720269724 at index (1, 0, 2) (up to 0 allowed)
2025-12-04T10:29:00.9593092Z 
2025-12-04T10:29:00.9593137Z The failure occurred for item [1]
2025-12-04T10:29:00.9593139Z 
2025-12-04T10:29:00.9593219Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9593372Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_Transformer_multilayer_coder_cuda_tf32
2025-12-04T10:29:00.9593374Z 
2025-12-04T10:29:00.9593473Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9593555Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:29:00.9594110Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py:144: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.self_attn.batch_first was not True(use batch_first for better inference performance)
2025-12-04T10:29:00.9594159Z   self.encoder = TransformerEncoder(
2025-12-04T10:29:00.9594252Z ______________ TestNN.test_Transformer_multilayer_coder_cuda_tf32 ______________
2025-12-04T10:29:00.9594300Z Traceback (most recent call last):
2025-12-04T10:29:00.9594409Z   File "/var/lib/jenkins/pytorch/test/test_nn.py", line 7685, in with_tf32_on
2025-12-04T10:29:00.9594452Z     test.test_cuda(self, **kwargs)
2025-12-04T10:29:00.9594663Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_nn.py", line 3553, in test_cuda
2025-12-04T10:29:00.9594825Z     test_case.assertEqual(cpu_gradInput, gpu_gradInput, atol=self.precision, rtol=0, exact_dtype=False)
2025-12-04T10:29:00.9595043Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:29:00.9595124Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:29:00.9595181Z AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9595182Z 
2025-12-04T10:29:00.9595225Z Mismatched elements: 1 / 24 (4.2%)
2025-12-04T10:29:00.9595361Z Greatest absolute difference: 0.12506680249770774 at index (1, 0, 2) (up to 0.05 allowed)
2025-12-04T10:29:00.9595478Z Greatest relative difference: 0.01407432720269724 at index (1, 0, 2) (up to 0 allowed)
2025-12-04T10:29:00.9595480Z 
2025-12-04T10:29:00.9595525Z The failure occurred for item [1]
2025-12-04T10:29:00.9595526Z 
2025-12-04T10:29:00.9595605Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9595758Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_Transformer_multilayer_coder_cuda_tf32
2025-12-04T10:29:00.9595782Z 
2025-12-04T10:29:00.9595880Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9595962Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:29:00.9596485Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py:144: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.self_attn.batch_first was not True(use batch_first for better inference performance)
2025-12-04T10:29:00.9596534Z   self.encoder = TransformerEncoder(
2025-12-04T10:29:00.9596628Z ______________ TestNN.test_Transformer_multilayer_coder_cuda_tf32 ______________
2025-12-04T10:29:00.9596674Z Traceback (most recent call last):
2025-12-04T10:29:00.9596780Z   File "/var/lib/jenkins/pytorch/test/test_nn.py", line 7685, in with_tf32_on
2025-12-04T10:29:00.9596822Z     test.test_cuda(self, **kwargs)
2025-12-04T10:29:00.9597020Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_nn.py", line 3553, in test_cuda
2025-12-04T10:29:00.9597171Z     test_case.assertEqual(cpu_gradInput, gpu_gradInput, atol=self.precision, rtol=0, exact_dtype=False)
2025-12-04T10:29:00.9597393Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:29:00.9597474Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:29:00.9597530Z AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9597532Z 
2025-12-04T10:29:00.9597576Z Mismatched elements: 1 / 24 (4.2%)
2025-12-04T10:29:00.9597713Z Greatest absolute difference: 0.12506680249770774 at index (1, 0, 2) (up to 0.05 allowed)
2025-12-04T10:29:00.9597830Z Greatest relative difference: 0.01407432720269724 at index (1, 0, 2) (up to 0 allowed)
2025-12-04T10:29:00.9597832Z 
2025-12-04T10:29:00.9597876Z The failure occurred for item [1]
2025-12-04T10:29:00.9597879Z 
2025-12-04T10:29:00.9597958Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9598176Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_Transformer_multilayer_coder_cuda_tf32
2025-12-04T10:29:00.9598178Z 
2025-12-04T10:29:00.9598276Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9598357Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:29:00.9598840Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py:144: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.self_attn.batch_first was not True(use batch_first for better inference performance)
2025-12-04T10:29:00.9598888Z   self.encoder = TransformerEncoder(
2025-12-04T10:29:00.9598983Z ______________ TestNN.test_Transformer_multilayer_coder_cuda_tf32 ______________
2025-12-04T10:29:00.9599028Z Traceback (most recent call last):
2025-12-04T10:29:00.9599135Z   File "/var/lib/jenkins/pytorch/test/test_nn.py", line 7685, in with_tf32_on
2025-12-04T10:29:00.9599177Z     test.test_cuda(self, **kwargs)
2025-12-04T10:29:00.9599385Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_nn.py", line 3553, in test_cuda
2025-12-04T10:29:00.9599548Z     test_case.assertEqual(cpu_gradInput, gpu_gradInput, atol=self.precision, rtol=0, exact_dtype=False)
2025-12-04T10:29:00.9599768Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:29:00.9599849Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:29:00.9599907Z AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9599909Z 
2025-12-04T10:29:00.9599953Z Mismatched elements: 1 / 24 (4.2%)
2025-12-04T10:29:00.9600091Z Greatest absolute difference: 0.12506680249770774 at index (1, 0, 2) (up to 0.05 allowed)
2025-12-04T10:29:00.9600234Z Greatest relative difference: 0.01407432720269724 at index (1, 0, 2) (up to 0 allowed)
2025-12-04T10:29:00.9600235Z 
2025-12-04T10:29:00.9600282Z The failure occurred for item [1]
2025-12-04T10:29:00.9600284Z 
2025-12-04T10:29:00.9600365Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9600519Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_Transformer_multilayer_coder_cuda_tf32
2025-12-04T10:29:00.9600521Z 
2025-12-04T10:29:00.9600626Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9600706Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:29:00.9601227Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py:144: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.self_attn.batch_first was not True(use batch_first for better inference performance)
2025-12-04T10:29:00.9601279Z   self.encoder = TransformerEncoder(
2025-12-04T10:29:00.9601382Z ______________ TestNN.test_Transformer_multilayer_coder_cuda_tf32 ______________
2025-12-04T10:29:00.9601433Z Traceback (most recent call last):
2025-12-04T10:29:00.9601539Z   File "/var/lib/jenkins/pytorch/test/test_nn.py", line 7685, in with_tf32_on
2025-12-04T10:29:00.9601586Z     test.test_cuda(self, **kwargs)
2025-12-04T10:29:00.9601795Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_nn.py", line 3553, in test_cuda
2025-12-04T10:29:00.9601957Z     test_case.assertEqual(cpu_gradInput, gpu_gradInput, atol=self.precision, rtol=0, exact_dtype=False)
2025-12-04T10:29:00.9602176Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:29:00.9602258Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:29:00.9602315Z AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9602319Z 
2025-12-04T10:29:00.9602363Z Mismatched elements: 1 / 24 (4.2%)
2025-12-04T10:29:00.9602500Z Greatest absolute difference: 0.12506680249770774 at index (1, 0, 2) (up to 0.05 allowed)
2025-12-04T10:29:00.9602658Z Greatest relative difference: 0.01407432720269724 at index (1, 0, 2) (up to 0 allowed)
2025-12-04T10:29:00.9602660Z 
2025-12-04T10:29:00.9602707Z The failure occurred for item [1]
2025-12-04T10:29:00.9602708Z 
2025-12-04T10:29:00.9602788Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9602942Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_Transformer_multilayer_coder_cuda_tf32
2025-12-04T10:29:00.9602944Z 
2025-12-04T10:29:00.9603041Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9603123Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:29:00.9603648Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py:144: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.self_attn.batch_first was not True(use batch_first for better inference performance)
2025-12-04T10:29:00.9603703Z   self.encoder = TransformerEncoder(
2025-12-04T10:29:00.9603796Z ______________ TestNN.test_Transformer_multilayer_coder_cuda_tf32 ______________
2025-12-04T10:29:00.9603842Z Traceback (most recent call last):
2025-12-04T10:29:00.9603947Z   File "/var/lib/jenkins/pytorch/test/test_nn.py", line 7685, in with_tf32_on
2025-12-04T10:29:00.9603991Z     test.test_cuda(self, **kwargs)
2025-12-04T10:29:00.9604197Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_nn.py", line 3553, in test_cuda
2025-12-04T10:29:00.9604360Z     test_case.assertEqual(cpu_gradInput, gpu_gradInput, atol=self.precision, rtol=0, exact_dtype=False)
2025-12-04T10:29:00.9604580Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:29:00.9604684Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:29:00.9604741Z AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9604743Z 
2025-12-04T10:29:00.9604787Z Mismatched elements: 1 / 24 (4.2%)
2025-12-04T10:29:00.9604924Z Greatest absolute difference: 0.12506680249770774 at index (1, 0, 2) (up to 0.05 allowed)
2025-12-04T10:29:00.9605042Z Greatest relative difference: 0.01407432720269724 at index (1, 0, 2) (up to 0 allowed)
2025-12-04T10:29:00.9605044Z 
2025-12-04T10:29:00.9605090Z The failure occurred for item [1]
2025-12-04T10:29:00.9605092Z 
2025-12-04T10:29:00.9605171Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9605324Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_Transformer_multilayer_coder_cuda_tf32
2025-12-04T10:29:00.9605326Z 
2025-12-04T10:29:00.9605425Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9605508Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:29:00.9606033Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py:144: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.self_attn.batch_first was not True(use batch_first for better inference performance)
2025-12-04T10:29:00.9606085Z   self.encoder = TransformerEncoder(
2025-12-04T10:29:00.9606178Z ______________ TestNN.test_Transformer_multilayer_coder_cuda_tf32 ______________
2025-12-04T10:29:00.9606226Z Traceback (most recent call last):
2025-12-04T10:29:00.9606338Z   File "/var/lib/jenkins/pytorch/test/test_nn.py", line 7685, in with_tf32_on
2025-12-04T10:29:00.9606385Z     test.test_cuda(self, **kwargs)
2025-12-04T10:29:00.9606595Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_nn.py", line 3553, in test_cuda
2025-12-04T10:29:00.9606761Z     test_case.assertEqual(cpu_gradInput, gpu_gradInput, atol=self.precision, rtol=0, exact_dtype=False)
2025-12-04T10:29:00.9606984Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:29:00.9607088Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:29:00.9607145Z AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9607149Z 
2025-12-04T10:29:00.9607193Z Mismatched elements: 1 / 24 (4.2%)
2025-12-04T10:29:00.9607328Z Greatest absolute difference: 0.12506680249770774 at index (1, 0, 2) (up to 0.05 allowed)
2025-12-04T10:29:00.9607446Z Greatest relative difference: 0.01407432720269724 at index (1, 0, 2) (up to 0 allowed)
2025-12-04T10:29:00.9607448Z 
2025-12-04T10:29:00.9607494Z The failure occurred for item [1]
2025-12-04T10:29:00.9607496Z 
2025-12-04T10:29:00.9607575Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9607730Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_Transformer_multilayer_coder_cuda_tf32
2025-12-04T10:29:00.9607735Z 
2025-12-04T10:29:00.9607831Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9607916Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:29:00.9608476Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py:144: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.self_attn.batch_first was not True(use batch_first for better inference performance)
2025-12-04T10:29:00.9608528Z   self.encoder = TransformerEncoder(
2025-12-04T10:29:00.9608630Z ______________ TestNN.test_Transformer_multilayer_coder_cuda_tf32 ______________
2025-12-04T10:29:00.9608678Z Traceback (most recent call last):
2025-12-04T10:29:00.9608783Z   File "/var/lib/jenkins/pytorch/test/test_nn.py", line 7685, in with_tf32_on
2025-12-04T10:29:00.9608827Z     test.test_cuda(self, **kwargs)
2025-12-04T10:29:00.9609064Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_nn.py", line 3553, in test_cuda
2025-12-04T10:29:00.9609238Z     test_case.assertEqual(cpu_gradInput, gpu_gradInput, atol=self.precision, rtol=0, exact_dtype=False)
2025-12-04T10:29:00.9609458Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:29:00.9609542Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:29:00.9609599Z AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9609601Z 
2025-12-04T10:29:00.9609646Z Mismatched elements: 1 / 24 (4.2%)
2025-12-04T10:29:00.9609782Z Greatest absolute difference: 0.12506680249770774 at index (1, 0, 2) (up to 0.05 allowed)
2025-12-04T10:29:00.9609901Z Greatest relative difference: 0.01407432720269724 at index (1, 0, 2) (up to 0 allowed)
2025-12-04T10:29:00.9609903Z 
2025-12-04T10:29:00.9609948Z The failure occurred for item [1]
2025-12-04T10:29:00.9609952Z 
2025-12-04T10:29:00.9610031Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9610185Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_Transformer_multilayer_coder_cuda_tf32
2025-12-04T10:29:00.9610189Z 
2025-12-04T10:29:00.9610288Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9610368Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:29:00.9610885Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py:144: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.self_attn.batch_first was not True(use batch_first for better inference performance)
2025-12-04T10:29:00.9610938Z   self.encoder = TransformerEncoder(
2025-12-04T10:29:00.9611030Z ______________ TestNN.test_Transformer_multilayer_coder_cuda_tf32 ______________
2025-12-04T10:29:00.9611077Z Traceback (most recent call last):
2025-12-04T10:29:00.9611185Z   File "/var/lib/jenkins/pytorch/test/test_nn.py", line 7685, in with_tf32_on
2025-12-04T10:29:00.9611229Z     test.test_cuda(self, **kwargs)
2025-12-04T10:29:00.9611460Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_nn.py", line 3553, in test_cuda
2025-12-04T10:29:00.9611625Z     test_case.assertEqual(cpu_gradInput, gpu_gradInput, atol=self.precision, rtol=0, exact_dtype=False)
2025-12-04T10:29:00.9611842Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:29:00.9611922Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:29:00.9611974Z AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9611976Z 
2025-12-04T10:29:00.9612022Z Mismatched elements: 1 / 24 (4.2%)
2025-12-04T10:29:00.9612158Z Greatest absolute difference: 0.12506680249770774 at index (1, 0, 2) (up to 0.05 allowed)
2025-12-04T10:29:00.9612280Z Greatest relative difference: 0.01407432720269724 at index (1, 0, 2) (up to 0 allowed)
2025-12-04T10:29:00.9612282Z 
2025-12-04T10:29:00.9612325Z The failure occurred for item [1]
2025-12-04T10:29:00.9612329Z 
2025-12-04T10:29:00.9612410Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9612562Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_Transformer_multilayer_coder_cuda_tf32
2025-12-04T10:29:00.9612564Z 
2025-12-04T10:29:00.9612662Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9612744Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:29:00.9613260Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py:144: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.self_attn.batch_first was not True(use batch_first for better inference performance)
2025-12-04T10:29:00.9613331Z   self.encoder = TransformerEncoder(
2025-12-04T10:29:00.9613425Z ______________ TestNN.test_Transformer_multilayer_coder_cuda_tf32 ______________
2025-12-04T10:29:00.9613471Z Traceback (most recent call last):
2025-12-04T10:29:00.9613580Z   File "/var/lib/jenkins/pytorch/test/test_nn.py", line 7685, in with_tf32_on
2025-12-04T10:29:00.9613624Z     test.test_cuda(self, **kwargs)
2025-12-04T10:29:00.9613835Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_nn.py", line 3553, in test_cuda
2025-12-04T10:29:00.9614001Z     test_case.assertEqual(cpu_gradInput, gpu_gradInput, atol=self.precision, rtol=0, exact_dtype=False)
2025-12-04T10:29:00.9614222Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:29:00.9614304Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:29:00.9614359Z AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9614363Z 
2025-12-04T10:29:00.9614409Z Mismatched elements: 1 / 24 (4.2%)
2025-12-04T10:29:00.9614544Z Greatest absolute difference: 0.12506680249770774 at index (1, 0, 2) (up to 0.05 allowed)
2025-12-04T10:29:00.9614675Z Greatest relative difference: 0.01407432720269724 at index (1, 0, 2) (up to 0 allowed)
2025-12-04T10:29:00.9614677Z 
2025-12-04T10:29:00.9614723Z The failure occurred for item [1]
2025-12-04T10:29:00.9614725Z 
2025-12-04T10:29:00.9614806Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9614959Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_Transformer_multilayer_coder_cuda_tf32
2025-12-04T10:29:00.9614961Z 
2025-12-04T10:29:00.9615058Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9615140Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:29:00.9615665Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py:144: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.self_attn.batch_first was not True(use batch_first for better inference performance)
2025-12-04T10:29:00.9615719Z   self.encoder = TransformerEncoder(
2025-12-04T10:29:00.9615833Z ______________ TestNN.test_Transformer_multilayer_coder_cuda_tf32 ______________
2025-12-04T10:29:00.9615882Z Traceback (most recent call last):
2025-12-04T10:29:00.9615990Z   File "/var/lib/jenkins/pytorch/test/test_nn.py", line 7685, in with_tf32_on
2025-12-04T10:29:00.9616036Z     test.test_cuda(self, **kwargs)
2025-12-04T10:29:00.9616241Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_nn.py", line 3553, in test_cuda
2025-12-04T10:29:00.9616404Z     test_case.assertEqual(cpu_gradInput, gpu_gradInput, atol=self.precision, rtol=0, exact_dtype=False)
2025-12-04T10:29:00.9616620Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:29:00.9616705Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:29:00.9616761Z AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9616763Z 
2025-12-04T10:29:00.9616809Z Mismatched elements: 1 / 24 (4.2%)
2025-12-04T10:29:00.9616947Z Greatest absolute difference: 0.12506680249770774 at index (1, 0, 2) (up to 0.05 allowed)
2025-12-04T10:29:00.9617068Z Greatest relative difference: 0.01407432720269724 at index (1, 0, 2) (up to 0 allowed)
2025-12-04T10:29:00.9617201Z 
2025-12-04T10:29:00.9617246Z The failure occurred for item [1]
2025-12-04T10:29:00.9617248Z 
2025-12-04T10:29:00.9617330Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9617482Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_Transformer_multilayer_coder_cuda_tf32
2025-12-04T10:29:00.9617486Z 
2025-12-04T10:29:00.9617583Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9617663Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:29:00.9618252Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py:144: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.self_attn.batch_first was not True(use batch_first for better inference performance)
2025-12-04T10:29:00.9618303Z   self.encoder = TransformerEncoder(
2025-12-04T10:29:00.9618397Z ______________ TestNN.test_Transformer_multilayer_coder_cuda_tf32 ______________
2025-12-04T10:29:00.9618445Z Traceback (most recent call last):
2025-12-04T10:29:00.9618550Z   File "/var/lib/jenkins/pytorch/test/test_nn.py", line 7685, in with_tf32_on
2025-12-04T10:29:00.9618596Z     test.test_cuda(self, **kwargs)
2025-12-04T10:29:00.9618805Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_nn.py", line 3553, in test_cuda
2025-12-04T10:29:00.9618969Z     test_case.assertEqual(cpu_gradInput, gpu_gradInput, atol=self.precision, rtol=0, exact_dtype=False)
2025-12-04T10:29:00.9619190Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:29:00.9619275Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:29:00.9619331Z AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9619332Z 
2025-12-04T10:29:00.9619378Z Mismatched elements: 1 / 24 (4.2%)
2025-12-04T10:29:00.9619514Z Greatest absolute difference: 0.12506680249770774 at index (1, 0, 2) (up to 0.05 allowed)
2025-12-04T10:29:00.9619635Z Greatest relative difference: 0.01407432720269724 at index (1, 0, 2) (up to 0 allowed)
2025-12-04T10:29:00.9619637Z 
2025-12-04T10:29:00.9619680Z The failure occurred for item [1]
2025-12-04T10:29:00.9619682Z 
2025-12-04T10:29:00.9619765Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9619905Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_Transformer_multilayer_coder_cuda_tf32
2025-12-04T10:29:00.9619910Z 
2025-12-04T10:29:00.9620008Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9620126Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:29:00.9620646Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py:144: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.self_attn.batch_first was not True(use batch_first for better inference performance)
2025-12-04T10:29:00.9620699Z   self.encoder = TransformerEncoder(
2025-12-04T10:29:00.9620792Z ______________ TestNN.test_Transformer_multilayer_coder_cuda_tf32 ______________
2025-12-04T10:29:00.9620841Z Traceback (most recent call last):
2025-12-04T10:29:00.9620947Z   File "/var/lib/jenkins/pytorch/test/test_nn.py", line 7685, in with_tf32_on
2025-12-04T10:29:00.9620991Z     test.test_cuda(self, **kwargs)
2025-12-04T10:29:00.9621184Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_nn.py", line 3553, in test_cuda
2025-12-04T10:29:00.9621354Z     test_case.assertEqual(cpu_gradInput, gpu_gradInput, atol=self.precision, rtol=0, exact_dtype=False)
2025-12-04T10:29:00.9621575Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:29:00.9621658Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:29:00.9621713Z AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9621715Z 
2025-12-04T10:29:00.9621761Z Mismatched elements: 1 / 24 (4.2%)
2025-12-04T10:29:00.9621898Z Greatest absolute difference: 0.12506680249770774 at index (1, 0, 2) (up to 0.05 allowed)
2025-12-04T10:29:00.9622019Z Greatest relative difference: 0.01407432720269724 at index (1, 0, 2) (up to 0 allowed)
2025-12-04T10:29:00.9622021Z 
2025-12-04T10:29:00.9622065Z The failure occurred for item [1]
2025-12-04T10:29:00.9622094Z 
2025-12-04T10:29:00.9622176Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9622330Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_Transformer_multilayer_coder_cuda_tf32
2025-12-04T10:29:00.9622332Z 
2025-12-04T10:29:00.9622442Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9622522Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:29:00.9623043Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py:144: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.self_attn.batch_first was not True(use batch_first for better inference performance)
2025-12-04T10:29:00.9623094Z   self.encoder = TransformerEncoder(
2025-12-04T10:29:00.9623189Z ______________ TestNN.test_Transformer_multilayer_coder_cuda_tf32 ______________
2025-12-04T10:29:00.9623238Z Traceback (most recent call last):
2025-12-04T10:29:00.9623347Z   File "/var/lib/jenkins/pytorch/test/test_nn.py", line 7685, in with_tf32_on
2025-12-04T10:29:00.9623392Z     test.test_cuda(self, **kwargs)
2025-12-04T10:29:00.9623588Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_nn.py", line 3553, in test_cuda
2025-12-04T10:29:00.9623754Z     test_case.assertEqual(cpu_gradInput, gpu_gradInput, atol=self.precision, rtol=0, exact_dtype=False)
2025-12-04T10:29:00.9623973Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:29:00.9624059Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:29:00.9624115Z AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9624116Z 
2025-12-04T10:29:00.9624161Z Mismatched elements: 1 / 24 (4.2%)
2025-12-04T10:29:00.9624299Z Greatest absolute difference: 0.12506680249770774 at index (1, 0, 2) (up to 0.05 allowed)
2025-12-04T10:29:00.9624419Z Greatest relative difference: 0.01407432720269724 at index (1, 0, 2) (up to 0 allowed)
2025-12-04T10:29:00.9624424Z 
2025-12-04T10:29:00.9624470Z The failure occurred for item [1]
2025-12-04T10:29:00.9624471Z 
2025-12-04T10:29:00.9624574Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9624726Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_Transformer_multilayer_coder_cuda_tf32
2025-12-04T10:29:00.9624728Z 
2025-12-04T10:29:00.9624836Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9624921Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:29:00.9625442Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py:144: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.self_attn.batch_first was not True(use batch_first for better inference performance)
2025-12-04T10:29:00.9625495Z   self.encoder = TransformerEncoder(
2025-12-04T10:29:00.9625590Z ______________ TestNN.test_Transformer_multilayer_coder_cuda_tf32 ______________
2025-12-04T10:29:00.9625639Z Traceback (most recent call last):
2025-12-04T10:29:00.9625752Z   File "/var/lib/jenkins/pytorch/test/test_nn.py", line 7685, in with_tf32_on
2025-12-04T10:29:00.9625798Z     test.test_cuda(self, **kwargs)
2025-12-04T10:29:00.9626006Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_nn.py", line 3553, in test_cuda
2025-12-04T10:29:00.9626172Z     test_case.assertEqual(cpu_gradInput, gpu_gradInput, atol=self.precision, rtol=0, exact_dtype=False)
2025-12-04T10:29:00.9626391Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:29:00.9626477Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:29:00.9626533Z AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9626535Z 
2025-12-04T10:29:00.9626608Z Mismatched elements: 1 / 24 (4.2%)
2025-12-04T10:29:00.9626734Z Greatest absolute difference: 0.12506680249770774 at index (1, 0, 2) (up to 0.05 allowed)
2025-12-04T10:29:00.9626854Z Greatest relative difference: 0.01407432720269724 at index (1, 0, 2) (up to 0 allowed)
2025-12-04T10:29:00.9626856Z 
2025-12-04T10:29:00.9626900Z The failure occurred for item [1]
2025-12-04T10:29:00.9626902Z 
2025-12-04T10:29:00.9626984Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9627136Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_Transformer_multilayer_coder_cuda_tf32
2025-12-04T10:29:00.9627138Z 
2025-12-04T10:29:00.9627237Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9627317Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:29:00.9627797Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py:144: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.self_attn.batch_first was not True(use batch_first for better inference performance)
2025-12-04T10:29:00.9627846Z   self.encoder = TransformerEncoder(
2025-12-04T10:29:00.9627944Z ______________ TestNN.test_Transformer_multilayer_coder_cuda_tf32 ______________
2025-12-04T10:29:00.9627988Z Traceback (most recent call last):
2025-12-04T10:29:00.9628129Z   File "/var/lib/jenkins/pytorch/test/test_nn.py", line 7685, in with_tf32_on
2025-12-04T10:29:00.9628173Z     test.test_cuda(self, **kwargs)
2025-12-04T10:29:00.9628381Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_nn.py", line 3553, in test_cuda
2025-12-04T10:29:00.9628544Z     test_case.assertEqual(cpu_gradInput, gpu_gradInput, atol=self.precision, rtol=0, exact_dtype=False)
2025-12-04T10:29:00.9628762Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:29:00.9628848Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:29:00.9628904Z AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9628906Z 
2025-12-04T10:29:00.9628951Z Mismatched elements: 1 / 24 (4.2%)
2025-12-04T10:29:00.9629114Z Greatest absolute difference: 0.12506680249770774 at index (1, 0, 2) (up to 0.05 allowed)
2025-12-04T10:29:00.9629235Z Greatest relative difference: 0.01407432720269724 at index (1, 0, 2) (up to 0 allowed)
2025-12-04T10:29:00.9629236Z 
2025-12-04T10:29:00.9629280Z The failure occurred for item [1]
2025-12-04T10:29:00.9629282Z 
2025-12-04T10:29:00.9629363Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9629515Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_Transformer_multilayer_coder_cuda_tf32
2025-12-04T10:29:00.9629516Z 
2025-12-04T10:29:00.9629616Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9629695Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:29:00.9630229Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py:144: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.self_attn.batch_first was not True(use batch_first for better inference performance)
2025-12-04T10:29:00.9630279Z   self.encoder = TransformerEncoder(
2025-12-04T10:29:00.9630384Z ______________ TestNN.test_Transformer_multilayer_coder_cuda_tf32 ______________
2025-12-04T10:29:00.9630431Z Traceback (most recent call last):
2025-12-04T10:29:00.9630544Z   File "/var/lib/jenkins/pytorch/test/test_nn.py", line 7685, in with_tf32_on
2025-12-04T10:29:00.9630588Z     test.test_cuda(self, **kwargs)
2025-12-04T10:29:00.9630795Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_nn.py", line 3553, in test_cuda
2025-12-04T10:29:00.9630959Z     test_case.assertEqual(cpu_gradInput, gpu_gradInput, atol=self.precision, rtol=0, exact_dtype=False)
2025-12-04T10:29:00.9631202Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:29:00.9631287Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:29:00.9631343Z AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9631345Z 
2025-12-04T10:29:00.9631391Z Mismatched elements: 1 / 24 (4.2%)
2025-12-04T10:29:00.9631526Z Greatest absolute difference: 0.12506680249770774 at index (1, 0, 2) (up to 0.05 allowed)
2025-12-04T10:29:00.9631647Z Greatest relative difference: 0.01407432720269724 at index (1, 0, 2) (up to 0 allowed)
2025-12-04T10:29:00.9631649Z 
2025-12-04T10:29:00.9631692Z The failure occurred for item [1]
2025-12-04T10:29:00.9631694Z 
2025-12-04T10:29:00.9631776Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9631927Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_Transformer_multilayer_coder_cuda_tf32
2025-12-04T10:29:00.9631931Z 
2025-12-04T10:29:00.9632029Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9632107Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:29:00.9632628Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py:144: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.self_attn.batch_first was not True(use batch_first for better inference performance)
2025-12-04T10:29:00.9632677Z   self.encoder = TransformerEncoder(
2025-12-04T10:29:00.9632772Z ______________ TestNN.test_Transformer_multilayer_coder_cuda_tf32 ______________
2025-12-04T10:29:00.9632818Z Traceback (most recent call last):
2025-12-04T10:29:00.9632927Z   File "/var/lib/jenkins/pytorch/test/test_nn.py", line 7685, in with_tf32_on
2025-12-04T10:29:00.9632970Z     test.test_cuda(self, **kwargs)
2025-12-04T10:29:00.9633183Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_nn.py", line 3553, in test_cuda
2025-12-04T10:29:00.9633349Z     test_case.assertEqual(cpu_gradInput, gpu_gradInput, atol=self.precision, rtol=0, exact_dtype=False)
2025-12-04T10:29:00.9633594Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:29:00.9633675Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:29:00.9633732Z AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9633734Z 
2025-12-04T10:29:00.9633779Z Mismatched elements: 1 / 24 (4.2%)
2025-12-04T10:29:00.9633914Z Greatest absolute difference: 0.12506680249770774 at index (1, 0, 2) (up to 0.05 allowed)
2025-12-04T10:29:00.9634034Z Greatest relative difference: 0.01407432720269724 at index (1, 0, 2) (up to 0 allowed)
2025-12-04T10:29:00.9634035Z 
2025-12-04T10:29:00.9634079Z The failure occurred for item [1]
2025-12-04T10:29:00.9634081Z 
2025-12-04T10:29:00.9634165Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9634315Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_Transformer_multilayer_coder_cuda_tf32
2025-12-04T10:29:00.9634317Z 
2025-12-04T10:29:00.9634420Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9634499Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:29:00.9635023Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py:144: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.self_attn.batch_first was not True(use batch_first for better inference performance)
2025-12-04T10:29:00.9635072Z   self.encoder = TransformerEncoder(
2025-12-04T10:29:00.9635176Z ______________ TestNN.test_Transformer_multilayer_coder_cuda_tf32 ______________
2025-12-04T10:29:00.9635225Z Traceback (most recent call last):
2025-12-04T10:29:00.9635338Z   File "/var/lib/jenkins/pytorch/test/test_nn.py", line 7685, in with_tf32_on
2025-12-04T10:29:00.9635409Z     test.test_cuda(self, **kwargs)
2025-12-04T10:29:00.9635620Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_nn.py", line 3553, in test_cuda
2025-12-04T10:29:00.9635783Z     test_case.assertEqual(cpu_gradInput, gpu_gradInput, atol=self.precision, rtol=0, exact_dtype=False)
2025-12-04T10:29:00.9636006Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:29:00.9636087Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:29:00.9636144Z AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9636145Z 
2025-12-04T10:29:00.9636189Z Mismatched elements: 1 / 24 (4.2%)
2025-12-04T10:29:00.9636327Z Greatest absolute difference: 0.12506680249770774 at index (1, 0, 2) (up to 0.05 allowed)
2025-12-04T10:29:00.9636446Z Greatest relative difference: 0.01407432720269724 at index (1, 0, 2) (up to 0 allowed)
2025-12-04T10:29:00.9636451Z 
2025-12-04T10:29:00.9636495Z The failure occurred for item [1]
2025-12-04T10:29:00.9636497Z 
2025-12-04T10:29:00.9636577Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9636731Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_Transformer_multilayer_coder_cuda_tf32
2025-12-04T10:29:00.9636733Z 
2025-12-04T10:29:00.9636839Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9636926Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:29:00.9637454Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py:144: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.self_attn.batch_first was not True(use batch_first for better inference performance)
2025-12-04T10:29:00.9637503Z   self.encoder = TransformerEncoder(
2025-12-04T10:29:00.9637608Z ______________ TestNN.test_Transformer_multilayer_coder_cuda_tf32 ______________
2025-12-04T10:29:00.9637654Z Traceback (most recent call last):
2025-12-04T10:29:00.9637761Z   File "/var/lib/jenkins/pytorch/test/test_nn.py", line 7685, in with_tf32_on
2025-12-04T10:29:00.9637823Z     test.test_cuda(self, **kwargs)
2025-12-04T10:29:00.9638033Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_nn.py", line 3553, in test_cuda
2025-12-04T10:29:00.9638243Z     test_case.assertEqual(cpu_gradInput, gpu_gradInput, atol=self.precision, rtol=0, exact_dtype=False)
2025-12-04T10:29:00.9638463Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:29:00.9638544Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:29:00.9638602Z AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9638604Z 
2025-12-04T10:29:00.9638647Z Mismatched elements: 1 / 24 (4.2%)
2025-12-04T10:29:00.9638787Z Greatest absolute difference: 0.12506680249770774 at index (1, 0, 2) (up to 0.05 allowed)
2025-12-04T10:29:00.9638906Z Greatest relative difference: 0.01407432720269724 at index (1, 0, 2) (up to 0 allowed)
2025-12-04T10:29:00.9638911Z 
2025-12-04T10:29:00.9638955Z The failure occurred for item [1]
2025-12-04T10:29:00.9638957Z 
2025-12-04T10:29:00.9639039Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9639191Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_Transformer_multilayer_coder_cuda_tf32
2025-12-04T10:29:00.9639193Z 
2025-12-04T10:29:00.9639291Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9639371Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:29:00.9639896Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py:144: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.self_attn.batch_first was not True(use batch_first for better inference performance)
2025-12-04T10:29:00.9639977Z   self.encoder = TransformerEncoder(
2025-12-04T10:29:00.9640072Z ______________ TestNN.test_Transformer_multilayer_coder_cuda_tf32 ______________
2025-12-04T10:29:00.9640119Z Traceback (most recent call last):
2025-12-04T10:29:00.9640225Z   File "/var/lib/jenkins/pytorch/test/test_nn.py", line 7685, in with_tf32_on
2025-12-04T10:29:00.9640268Z     test.test_cuda(self, **kwargs)
2025-12-04T10:29:00.9640476Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_nn.py", line 3553, in test_cuda
2025-12-04T10:29:00.9640637Z     test_case.assertEqual(cpu_gradInput, gpu_gradInput, atol=self.precision, rtol=0, exact_dtype=False)
2025-12-04T10:29:00.9640854Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:29:00.9640935Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:29:00.9640993Z AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9640995Z 
2025-12-04T10:29:00.9641039Z Mismatched elements: 1 / 24 (4.2%)
2025-12-04T10:29:00.9641177Z Greatest absolute difference: 0.12506680249770774 at index (1, 0, 2) (up to 0.05 allowed)
2025-12-04T10:29:00.9641296Z Greatest relative difference: 0.01407432720269724 at index (1, 0, 2) (up to 0 allowed)
2025-12-04T10:29:00.9641297Z 
2025-12-04T10:29:00.9641343Z The failure occurred for item [1]
2025-12-04T10:29:00.9641345Z 
2025-12-04T10:29:00.9641425Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9641582Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_Transformer_multilayer_coder_cuda_tf32
2025-12-04T10:29:00.9641584Z 
2025-12-04T10:29:00.9641682Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9641763Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:29:00.9642325Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py:144: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.self_attn.batch_first was not True(use batch_first for better inference performance)
2025-12-04T10:29:00.9642373Z   self.encoder = TransformerEncoder(
2025-12-04T10:29:00.9642468Z ______________ TestNN.test_Transformer_multilayer_coder_cuda_tf32 ______________
2025-12-04T10:29:00.9642515Z Traceback (most recent call last):
2025-12-04T10:29:00.9642624Z   File "/var/lib/jenkins/pytorch/test/test_nn.py", line 7685, in with_tf32_on
2025-12-04T10:29:00.9642667Z     test.test_cuda(self, **kwargs)
2025-12-04T10:29:00.9642864Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_nn.py", line 3553, in test_cuda
2025-12-04T10:29:00.9643027Z     test_case.assertEqual(cpu_gradInput, gpu_gradInput, atol=self.precision, rtol=0, exact_dtype=False)
2025-12-04T10:29:00.9643250Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:29:00.9643332Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:29:00.9643392Z AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9643393Z 
2025-12-04T10:29:00.9643438Z Mismatched elements: 1 / 24 (4.2%)
2025-12-04T10:29:00.9643576Z Greatest absolute difference: 0.12506680249770774 at index (1, 0, 2) (up to 0.05 allowed)
2025-12-04T10:29:00.9643692Z Greatest relative difference: 0.01407432720269724 at index (1, 0, 2) (up to 0 allowed)
2025-12-04T10:29:00.9643694Z 
2025-12-04T10:29:00.9643740Z The failure occurred for item [1]
2025-12-04T10:29:00.9643742Z 
2025-12-04T10:29:00.9643822Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9643977Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_Transformer_multilayer_coder_cuda_tf32
2025-12-04T10:29:00.9644000Z 
2025-12-04T10:29:00.9644102Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9644181Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:29:00.9644706Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py:144: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.self_attn.batch_first was not True(use batch_first for better inference performance)
2025-12-04T10:29:00.9644755Z   self.encoder = TransformerEncoder(
2025-12-04T10:29:00.9644848Z ______________ TestNN.test_Transformer_multilayer_coder_cuda_tf32 ______________
2025-12-04T10:29:00.9644895Z Traceback (most recent call last):
2025-12-04T10:29:00.9645003Z   File "/var/lib/jenkins/pytorch/test/test_nn.py", line 7685, in with_tf32_on
2025-12-04T10:29:00.9645047Z     test.test_cuda(self, **kwargs)
2025-12-04T10:29:00.9645253Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_nn.py", line 3553, in test_cuda
2025-12-04T10:29:00.9645418Z     test_case.assertEqual(cpu_gradInput, gpu_gradInput, atol=self.precision, rtol=0, exact_dtype=False)
2025-12-04T10:29:00.9645642Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:29:00.9645724Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:29:00.9645783Z AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9645784Z 
2025-12-04T10:29:00.9645830Z Mismatched elements: 1 / 24 (4.2%)
2025-12-04T10:29:00.9645968Z Greatest absolute difference: 0.12506680249770774 at index (1, 0, 2) (up to 0.05 allowed)
2025-12-04T10:29:00.9646085Z Greatest relative difference: 0.01407432720269724 at index (1, 0, 2) (up to 0 allowed)
2025-12-04T10:29:00.9646087Z 
2025-12-04T10:29:00.9646133Z The failure occurred for item [1]
2025-12-04T10:29:00.9646135Z 
2025-12-04T10:29:00.9646215Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9646358Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_Transformer_multilayer_coder_cuda_tf32
2025-12-04T10:29:00.9646360Z 
2025-12-04T10:29:00.9646478Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9646561Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:29:00.9647084Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py:144: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.self_attn.batch_first was not True(use batch_first for better inference performance)
2025-12-04T10:29:00.9647135Z   self.encoder = TransformerEncoder(
2025-12-04T10:29:00.9647231Z ______________ TestNN.test_Transformer_multilayer_coder_cuda_tf32 ______________
2025-12-04T10:29:00.9647278Z Traceback (most recent call last):
2025-12-04T10:29:00.9647394Z   File "/var/lib/jenkins/pytorch/test/test_nn.py", line 7685, in with_tf32_on
2025-12-04T10:29:00.9647440Z     test.test_cuda(self, **kwargs)
2025-12-04T10:29:00.9647651Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_nn.py", line 3553, in test_cuda
2025-12-04T10:29:00.9647815Z     test_case.assertEqual(cpu_gradInput, gpu_gradInput, atol=self.precision, rtol=0, exact_dtype=False)
2025-12-04T10:29:00.9648037Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:29:00.9648157Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:29:00.9648216Z AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9648218Z 
2025-12-04T10:29:00.9648262Z Mismatched elements: 1 / 24 (4.2%)
2025-12-04T10:29:00.9648399Z Greatest absolute difference: 0.12506680249770774 at index (1, 0, 2) (up to 0.05 allowed)
2025-12-04T10:29:00.9648517Z Greatest relative difference: 0.01407432720269724 at index (1, 0, 2) (up to 0 allowed)
2025-12-04T10:29:00.9648545Z 
2025-12-04T10:29:00.9648591Z The failure occurred for item [1]
2025-12-04T10:29:00.9648593Z 
2025-12-04T10:29:00.9648673Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9648829Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_Transformer_multilayer_coder_cuda_tf32
2025-12-04T10:29:00.9648831Z 
2025-12-04T10:29:00.9648929Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9649010Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:29:00.9649534Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py:144: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.self_attn.batch_first was not True(use batch_first for better inference performance)
2025-12-04T10:29:00.9649586Z   self.encoder = TransformerEncoder(
2025-12-04T10:29:00.9649691Z ______________ TestNN.test_Transformer_multilayer_coder_cuda_tf32 ______________
2025-12-04T10:29:00.9649738Z Traceback (most recent call last):
2025-12-04T10:29:00.9649845Z   File "/var/lib/jenkins/pytorch/test/test_nn.py", line 7685, in with_tf32_on
2025-12-04T10:29:00.9649890Z     test.test_cuda(self, **kwargs)
2025-12-04T10:29:00.9650102Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_nn.py", line 3553, in test_cuda
2025-12-04T10:29:00.9650266Z     test_case.assertEqual(cpu_gradInput, gpu_gradInput, atol=self.precision, rtol=0, exact_dtype=False)
2025-12-04T10:29:00.9650489Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:29:00.9650570Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:29:00.9650627Z AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9650629Z 
2025-12-04T10:29:00.9650674Z Mismatched elements: 1 / 24 (4.2%)
2025-12-04T10:29:00.9650804Z Greatest absolute difference: 0.12506680249770774 at index (1, 0, 2) (up to 0.05 allowed)
2025-12-04T10:29:00.9650924Z Greatest relative difference: 0.01407432720269724 at index (1, 0, 2) (up to 0 allowed)
2025-12-04T10:29:00.9650925Z 
2025-12-04T10:29:00.9650996Z The failure occurred for item [1]
2025-12-04T10:29:00.9650998Z 
2025-12-04T10:29:00.9651078Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9651233Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_Transformer_multilayer_coder_cuda_tf32
2025-12-04T10:29:00.9651235Z 
2025-12-04T10:29:00.9651333Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9651414Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:29:00.9651936Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py:144: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.self_attn.batch_first was not True(use batch_first for better inference performance)
2025-12-04T10:29:00.9656257Z   self.encoder = TransformerEncoder(
2025-12-04T10:29:00.9656368Z ______________ TestNN.test_Transformer_multilayer_coder_cuda_tf32 ______________
2025-12-04T10:29:00.9656422Z Traceback (most recent call last):
2025-12-04T10:29:00.9656537Z   File "/var/lib/jenkins/pytorch/test/test_nn.py", line 7685, in with_tf32_on
2025-12-04T10:29:00.9656583Z     test.test_cuda(self, **kwargs)
2025-12-04T10:29:00.9656795Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_nn.py", line 3553, in test_cuda
2025-12-04T10:29:00.9656964Z     test_case.assertEqual(cpu_gradInput, gpu_gradInput, atol=self.precision, rtol=0, exact_dtype=False)
2025-12-04T10:29:00.9657185Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:29:00.9657272Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:29:00.9657383Z AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9657385Z 
2025-12-04T10:29:00.9657432Z Mismatched elements: 1 / 24 (4.2%)
2025-12-04T10:29:00.9657575Z Greatest absolute difference: 0.12506680249770774 at index (1, 0, 2) (up to 0.05 allowed)
2025-12-04T10:29:00.9657704Z Greatest relative difference: 0.01407432720269724 at index (1, 0, 2) (up to 0 allowed)
2025-12-04T10:29:00.9657707Z 
2025-12-04T10:29:00.9657755Z The failure occurred for item [1]
2025-12-04T10:29:00.9657757Z 
2025-12-04T10:29:00.9657844Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9657997Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_Transformer_multilayer_coder_cuda_tf32
2025-12-04T10:29:00.9657999Z 
2025-12-04T10:29:00.9658146Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9658232Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:29:00.9658797Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py:144: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.self_attn.batch_first was not True(use batch_first for better inference performance)
2025-12-04T10:29:00.9658849Z   self.encoder = TransformerEncoder(
2025-12-04T10:29:00.9658943Z ______________ TestNN.test_Transformer_multilayer_coder_cuda_tf32 ______________
2025-12-04T10:29:00.9658991Z Traceback (most recent call last):
2025-12-04T10:29:00.9659098Z   File "/var/lib/jenkins/pytorch/test/test_nn.py", line 7685, in with_tf32_on
2025-12-04T10:29:00.9659142Z     test.test_cuda(self, **kwargs)
2025-12-04T10:29:00.9659336Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_nn.py", line 3553, in test_cuda
2025-12-04T10:29:00.9659488Z     test_case.assertEqual(cpu_gradInput, gpu_gradInput, atol=self.precision, rtol=0, exact_dtype=False)
2025-12-04T10:29:00.9659704Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:29:00.9659791Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:29:00.9659880Z AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9659882Z 
2025-12-04T10:29:00.9659928Z Mismatched elements: 1 / 24 (4.2%)
2025-12-04T10:29:00.9660062Z Greatest absolute difference: 0.12506680249770774 at index (1, 0, 2) (up to 0.05 allowed)
2025-12-04T10:29:00.9660190Z Greatest relative difference: 0.01407432720269724 at index (1, 0, 2) (up to 0 allowed)
2025-12-04T10:29:00.9660192Z 
2025-12-04T10:29:00.9660237Z The failure occurred for item [1]
2025-12-04T10:29:00.9660241Z 
2025-12-04T10:29:00.9660322Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9660462Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_Transformer_multilayer_coder_cuda_tf32
2025-12-04T10:29:00.9660464Z 
2025-12-04T10:29:00.9660568Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9660652Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:29:00.9661179Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py:144: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.self_attn.batch_first was not True(use batch_first for better inference performance)
2025-12-04T10:29:00.9661233Z   self.encoder = TransformerEncoder(
2025-12-04T10:29:00.9661335Z ______________ TestNN.test_Transformer_multilayer_coder_cuda_tf32 ______________
2025-12-04T10:29:00.9661384Z Traceback (most recent call last):
2025-12-04T10:29:00.9661497Z   File "/var/lib/jenkins/pytorch/test/test_nn.py", line 7685, in with_tf32_on
2025-12-04T10:29:00.9661544Z     test.test_cuda(self, **kwargs)
2025-12-04T10:29:00.9661753Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_nn.py", line 3553, in test_cuda
2025-12-04T10:29:00.9661946Z     test_case.assertEqual(cpu_gradInput, gpu_gradInput, atol=self.precision, rtol=0, exact_dtype=False)
2025-12-04T10:29:00.9662165Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:29:00.9662247Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:29:00.9662303Z AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9662305Z 
2025-12-04T10:29:00.9662350Z Mismatched elements: 1 / 24 (4.2%)
2025-12-04T10:29:00.9662484Z Greatest absolute difference: 0.12506680249770774 at index (1, 0, 2) (up to 0.05 allowed)
2025-12-04T10:29:00.9662616Z Greatest relative difference: 0.01407432720269724 at index (1, 0, 2) (up to 0 allowed)
2025-12-04T10:29:00.9662618Z 
2025-12-04T10:29:00.9662664Z The failure occurred for item [1]
2025-12-04T10:29:00.9662666Z 
2025-12-04T10:29:00.9662755Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9662910Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_Transformer_multilayer_coder_cuda_tf32
2025-12-04T10:29:00.9662914Z 
2025-12-04T10:29:00.9663024Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9663106Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:29:00.9663590Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py:144: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.self_attn.batch_first was not True(use batch_first for better inference performance)
2025-12-04T10:29:00.9663639Z   self.encoder = TransformerEncoder(
2025-12-04T10:29:00.9663733Z ______________ TestNN.test_Transformer_multilayer_coder_cuda_tf32 ______________
2025-12-04T10:29:00.9663779Z Traceback (most recent call last):
2025-12-04T10:29:00.9663885Z   File "/var/lib/jenkins/pytorch/test/test_nn.py", line 7685, in with_tf32_on
2025-12-04T10:29:00.9663932Z     test.test_cuda(self, **kwargs)
2025-12-04T10:29:00.9664126Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_nn.py", line 3553, in test_cuda
2025-12-04T10:29:00.9664313Z     test_case.assertEqual(cpu_gradInput, gpu_gradInput, atol=self.precision, rtol=0, exact_dtype=False)
2025-12-04T10:29:00.9664530Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:29:00.9664612Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:29:00.9664669Z AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9664671Z 
2025-12-04T10:29:00.9664717Z Mismatched elements: 1 / 24 (4.2%)
2025-12-04T10:29:00.9664853Z Greatest absolute difference: 0.12506680249770774 at index (1, 0, 2) (up to 0.05 allowed)
2025-12-04T10:29:00.9664980Z Greatest relative difference: 0.01407432720269724 at index (1, 0, 2) (up to 0 allowed)
2025-12-04T10:29:00.9664986Z 
2025-12-04T10:29:00.9665031Z The failure occurred for item [1]
2025-12-04T10:29:00.9665033Z 
2025-12-04T10:29:00.9665120Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9665275Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_Transformer_multilayer_coder_cuda_tf32
2025-12-04T10:29:00.9665277Z 
2025-12-04T10:29:00.9665389Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9665477Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:29:00.9665993Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py:144: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.self_attn.batch_first was not True(use batch_first for better inference performance)
2025-12-04T10:29:00.9666045Z   self.encoder = TransformerEncoder(
2025-12-04T10:29:00.9666148Z ______________ TestNN.test_Transformer_multilayer_coder_cuda_tf32 ______________
2025-12-04T10:29:00.9666222Z Traceback (most recent call last):
2025-12-04T10:29:00.9666334Z   File "/var/lib/jenkins/pytorch/test/test_nn.py", line 7685, in with_tf32_on
2025-12-04T10:29:00.9666380Z     test.test_cuda(self, **kwargs)
2025-12-04T10:29:00.9666586Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_nn.py", line 3553, in test_cuda
2025-12-04T10:29:00.9666750Z     test_case.assertEqual(cpu_gradInput, gpu_gradInput, atol=self.precision, rtol=0, exact_dtype=False)
2025-12-04T10:29:00.9666967Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:29:00.9667051Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:29:00.9667106Z AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9667108Z 
2025-12-04T10:29:00.9667153Z Mismatched elements: 1 / 24 (4.2%)
2025-12-04T10:29:00.9667289Z Greatest absolute difference: 0.12506680249770774 at index (1, 0, 2) (up to 0.05 allowed)
2025-12-04T10:29:00.9667409Z Greatest relative difference: 0.01407432720269724 at index (1, 0, 2) (up to 0 allowed)
2025-12-04T10:29:00.9667411Z 
2025-12-04T10:29:00.9667456Z The failure occurred for item [1]
2025-12-04T10:29:00.9667458Z 
2025-12-04T10:29:00.9667539Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9667691Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_Transformer_multilayer_coder_cuda_tf32
2025-12-04T10:29:00.9667693Z 
2025-12-04T10:29:00.9667799Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9667881Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:29:00.9668441Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py:144: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.self_attn.batch_first was not True(use batch_first for better inference performance)
2025-12-04T10:29:00.9668493Z   self.encoder = TransformerEncoder(
2025-12-04T10:29:00.9668586Z ______________ TestNN.test_Transformer_multilayer_coder_cuda_tf32 ______________
2025-12-04T10:29:00.9668665Z Traceback (most recent call last):
2025-12-04T10:29:00.9668770Z   File "/var/lib/jenkins/pytorch/test/test_nn.py", line 7685, in with_tf32_on
2025-12-04T10:29:00.9668816Z     test.test_cuda(self, **kwargs)
2025-12-04T10:29:00.9669024Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_nn.py", line 3553, in test_cuda
2025-12-04T10:29:00.9669186Z     test_case.assertEqual(cpu_gradInput, gpu_gradInput, atol=self.precision, rtol=0, exact_dtype=False)
2025-12-04T10:29:00.9669406Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:29:00.9669489Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:29:00.9669546Z AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9669548Z 
2025-12-04T10:29:00.9669594Z Mismatched elements: 1 / 24 (4.2%)
2025-12-04T10:29:00.9669733Z Greatest absolute difference: 0.12506680249770774 at index (1, 0, 2) (up to 0.05 allowed)
2025-12-04T10:29:00.9669863Z Greatest relative difference: 0.01407432720269724 at index (1, 0, 2) (up to 0 allowed)
2025-12-04T10:29:00.9669864Z 
2025-12-04T10:29:00.9669910Z The failure occurred for item [1]
2025-12-04T10:29:00.9669912Z 
2025-12-04T10:29:00.9669994Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9670146Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_Transformer_multilayer_coder_cuda_tf32
2025-12-04T10:29:00.9670148Z 
2025-12-04T10:29:00.9670247Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9670327Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:29:00.9670851Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py:144: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.self_attn.batch_first was not True(use batch_first for better inference performance)
2025-12-04T10:29:00.9670937Z   self.encoder = TransformerEncoder(
2025-12-04T10:29:00.9671031Z ______________ TestNN.test_Transformer_multilayer_coder_cuda_tf32 ______________
2025-12-04T10:29:00.9671075Z Traceback (most recent call last):
2025-12-04T10:29:00.9671180Z   File "/var/lib/jenkins/pytorch/test/test_nn.py", line 7685, in with_tf32_on
2025-12-04T10:29:00.9671224Z     test.test_cuda(self, **kwargs)
2025-12-04T10:29:00.9671419Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_nn.py", line 3553, in test_cuda
2025-12-04T10:29:00.9671583Z     test_case.assertEqual(cpu_gradInput, gpu_gradInput, atol=self.precision, rtol=0, exact_dtype=False)
2025-12-04T10:29:00.9671800Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:29:00.9671886Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:29:00.9671941Z AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9671944Z 
2025-12-04T10:29:00.9671991Z Mismatched elements: 1 / 24 (4.2%)
2025-12-04T10:29:00.9672127Z Greatest absolute difference: 0.12506680249770774 at index (1, 0, 2) (up to 0.05 allowed)
2025-12-04T10:29:00.9672246Z Greatest relative difference: 0.01407432720269724 at index (1, 0, 2) (up to 0 allowed)
2025-12-04T10:29:00.9672248Z 
2025-12-04T10:29:00.9672292Z The failure occurred for item [1]
2025-12-04T10:29:00.9672294Z 
2025-12-04T10:29:00.9672374Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9672525Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_Transformer_multilayer_coder_cuda_tf32
2025-12-04T10:29:00.9672527Z 
2025-12-04T10:29:00.9672634Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9672715Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:29:00.9673638Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py:144: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.self_attn.batch_first was not True(use batch_first for better inference performance)
2025-12-04T10:29:00.9673687Z   self.encoder = TransformerEncoder(
2025-12-04T10:29:00.9673782Z ______________ TestNN.test_Transformer_multilayer_coder_cuda_tf32 ______________
2025-12-04T10:29:00.9673827Z Traceback (most recent call last):
2025-12-04T10:29:00.9673935Z   File "/var/lib/jenkins/pytorch/test/test_nn.py", line 7685, in with_tf32_on
2025-12-04T10:29:00.9673977Z     test.test_cuda(self, **kwargs)
2025-12-04T10:29:00.9674186Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_nn.py", line 3553, in test_cuda
2025-12-04T10:29:00.9674353Z     test_case.assertEqual(cpu_gradInput, gpu_gradInput, atol=self.precision, rtol=0, exact_dtype=False)
2025-12-04T10:29:00.9674575Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:29:00.9674658Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:29:00.9674714Z AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9674716Z 
2025-12-04T10:29:00.9674761Z Mismatched elements: 1 / 24 (4.2%)
2025-12-04T10:29:00.9674897Z Greatest absolute difference: 0.12506680249770774 at index (1, 0, 2) (up to 0.05 allowed)
2025-12-04T10:29:00.9675024Z Greatest relative difference: 0.01407432720269724 at index (1, 0, 2) (up to 0 allowed)
2025-12-04T10:29:00.9675026Z 
2025-12-04T10:29:00.9675072Z The failure occurred for item [1]
2025-12-04T10:29:00.9675074Z 
2025-12-04T10:29:00.9675160Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9675337Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_Transformer_multilayer_coder_cuda_tf32
2025-12-04T10:29:00.9675339Z 
2025-12-04T10:29:00.9675446Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9675528Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:29:00.9676051Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py:144: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.self_attn.batch_first was not True(use batch_first for better inference performance)
2025-12-04T10:29:00.9676101Z   self.encoder = TransformerEncoder(
2025-12-04T10:29:00.9676206Z ______________ TestNN.test_Transformer_multilayer_coder_cuda_tf32 ______________
2025-12-04T10:29:00.9676252Z Traceback (most recent call last):
2025-12-04T10:29:00.9676359Z   File "/var/lib/jenkins/pytorch/test/test_nn.py", line 7685, in with_tf32_on
2025-12-04T10:29:00.9676404Z     test.test_cuda(self, **kwargs)
2025-12-04T10:29:00.9676618Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_nn.py", line 3553, in test_cuda
2025-12-04T10:29:00.9676784Z     test_case.assertEqual(cpu_gradInput, gpu_gradInput, atol=self.precision, rtol=0, exact_dtype=False)
2025-12-04T10:29:00.9677005Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:29:00.9677088Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:29:00.9677144Z AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9677146Z 
2025-12-04T10:29:00.9677192Z Mismatched elements: 1 / 24 (4.2%)
2025-12-04T10:29:00.9677319Z Greatest absolute difference: 0.12506680249770774 at index (1, 0, 2) (up to 0.05 allowed)
2025-12-04T10:29:00.9677441Z Greatest relative difference: 0.01407432720269724 at index (1, 0, 2) (up to 0 allowed)
2025-12-04T10:29:00.9677443Z 
2025-12-04T10:29:00.9677489Z The failure occurred for item [1]
2025-12-04T10:29:00.9677491Z 
2025-12-04T10:29:00.9677572Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9677746Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_Transformer_multilayer_coder_cuda_tf32
2025-12-04T10:29:00.9677748Z 
2025-12-04T10:29:00.9677847Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9677926Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:29:00.9678490Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py:144: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.self_attn.batch_first was not True(use batch_first for better inference performance)
2025-12-04T10:29:00.9678537Z   self.encoder = TransformerEncoder(
2025-12-04T10:29:00.9678633Z ______________ TestNN.test_Transformer_multilayer_coder_cuda_tf32 ______________
2025-12-04T10:29:00.9678681Z Traceback (most recent call last):
2025-12-04T10:29:00.9678787Z   File "/var/lib/jenkins/pytorch/test/test_nn.py", line 7685, in with_tf32_on
2025-12-04T10:29:00.9678829Z     test.test_cuda(self, **kwargs)
2025-12-04T10:29:00.9679025Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_nn.py", line 3553, in test_cuda
2025-12-04T10:29:00.9679187Z     test_case.assertEqual(cpu_gradInput, gpu_gradInput, atol=self.precision, rtol=0, exact_dtype=False)
2025-12-04T10:29:00.9679408Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:29:00.9679489Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:29:00.9679545Z AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9679547Z 
2025-12-04T10:29:00.9679591Z Mismatched elements: 1 / 24 (4.2%)
2025-12-04T10:29:00.9679728Z Greatest absolute difference: 0.12506680249770774 at index (1, 0, 2) (up to 0.05 allowed)
2025-12-04T10:29:00.9679880Z Greatest relative difference: 0.01407432720269724 at index (1, 0, 2) (up to 0 allowed)
2025-12-04T10:29:00.9679882Z 
2025-12-04T10:29:00.9679927Z The failure occurred for item [1]
2025-12-04T10:29:00.9679931Z 
2025-12-04T10:29:00.9680013Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9680164Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_Transformer_multilayer_coder_cuda_tf32
2025-12-04T10:29:00.9680166Z 
2025-12-04T10:29:00.9680265Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9680344Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:29:00.9680867Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py:144: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.self_attn.batch_first was not True(use batch_first for better inference performance)
2025-12-04T10:29:00.9680921Z   self.encoder = TransformerEncoder(
2025-12-04T10:29:00.9681014Z ______________ TestNN.test_Transformer_multilayer_coder_cuda_tf32 ______________
2025-12-04T10:29:00.9681064Z Traceback (most recent call last):
2025-12-04T10:29:00.9681168Z   File "/var/lib/jenkins/pytorch/test/test_nn.py", line 7685, in with_tf32_on
2025-12-04T10:29:00.9681212Z     test.test_cuda(self, **kwargs)
2025-12-04T10:29:00.9681419Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_nn.py", line 3553, in test_cuda
2025-12-04T10:29:00.9681582Z     test_case.assertEqual(cpu_gradInput, gpu_gradInput, atol=self.precision, rtol=0, exact_dtype=False)
2025-12-04T10:29:00.9681803Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:29:00.9681886Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:29:00.9681942Z AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9681949Z 
2025-12-04T10:29:00.9681993Z Mismatched elements: 1 / 24 (4.2%)
2025-12-04T10:29:00.9682130Z Greatest absolute difference: 0.12506680249770774 at index (1, 0, 2) (up to 0.05 allowed)
2025-12-04T10:29:00.9682274Z Greatest relative difference: 0.01407432720269724 at index (1, 0, 2) (up to 0 allowed)
2025-12-04T10:29:00.9682276Z 
2025-12-04T10:29:00.9682322Z The failure occurred for item [1]
2025-12-04T10:29:00.9682323Z 
2025-12-04T10:29:00.9682403Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9682560Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_Transformer_multilayer_coder_cuda_tf32
2025-12-04T10:29:00.9682562Z 
2025-12-04T10:29:00.9682659Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9682739Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:29:00.9683257Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py:144: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.self_attn.batch_first was not True(use batch_first for better inference performance)
2025-12-04T10:29:00.9683311Z   self.encoder = TransformerEncoder(
2025-12-04T10:29:00.9683406Z ______________ TestNN.test_Transformer_multilayer_coder_cuda_tf32 ______________
2025-12-04T10:29:00.9683454Z Traceback (most recent call last):
2025-12-04T10:29:00.9683559Z   File "/var/lib/jenkins/pytorch/test/test_nn.py", line 7685, in with_tf32_on
2025-12-04T10:29:00.9683604Z     test.test_cuda(self, **kwargs)
2025-12-04T10:29:00.9683813Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_nn.py", line 3553, in test_cuda
2025-12-04T10:29:00.9683978Z     test_case.assertEqual(cpu_gradInput, gpu_gradInput, atol=self.precision, rtol=0, exact_dtype=False)
2025-12-04T10:29:00.9684196Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:29:00.9684302Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:29:00.9684359Z AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9684361Z 
2025-12-04T10:29:00.9684409Z Mismatched elements: 1 / 24 (4.2%)
2025-12-04T10:29:00.9684546Z Greatest absolute difference: 0.12506680249770774 at index (1, 0, 2) (up to 0.05 allowed)
2025-12-04T10:29:00.9684665Z Greatest relative difference: 0.01407432720269724 at index (1, 0, 2) (up to 0 allowed)
2025-12-04T10:29:00.9684667Z 
2025-12-04T10:29:00.9684712Z The failure occurred for item [1]
2025-12-04T10:29:00.9684714Z 
2025-12-04T10:29:00.9684793Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9684947Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_Transformer_multilayer_coder_cuda_tf32
2025-12-04T10:29:00.9684948Z 
2025-12-04T10:29:00.9685046Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9685132Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:29:00.9685664Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py:144: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.self_attn.batch_first was not True(use batch_first for better inference performance)
2025-12-04T10:29:00.9685714Z   self.encoder = TransformerEncoder(
2025-12-04T10:29:00.9685809Z ______________ TestNN.test_Transformer_multilayer_coder_cuda_tf32 ______________
2025-12-04T10:29:00.9685857Z Traceback (most recent call last):
2025-12-04T10:29:00.9685961Z   File "/var/lib/jenkins/pytorch/test/test_nn.py", line 7685, in with_tf32_on
2025-12-04T10:29:00.9686004Z     test.test_cuda(self, **kwargs)
2025-12-04T10:29:00.9686212Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_nn.py", line 3553, in test_cuda
2025-12-04T10:29:00.9686377Z     test_case.assertEqual(cpu_gradInput, gpu_gradInput, atol=self.precision, rtol=0, exact_dtype=False)
2025-12-04T10:29:00.9686594Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:29:00.9686696Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:29:00.9686752Z AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9686754Z 
2025-12-04T10:29:00.9686800Z Mismatched elements: 1 / 24 (4.2%)
2025-12-04T10:29:00.9686935Z Greatest absolute difference: 0.12506680249770774 at index (1, 0, 2) (up to 0.05 allowed)
2025-12-04T10:29:00.9687055Z Greatest relative difference: 0.01407432720269724 at index (1, 0, 2) (up to 0 allowed)
2025-12-04T10:29:00.9687057Z 
2025-12-04T10:29:00.9687100Z The failure occurred for item [1]
2025-12-04T10:29:00.9687104Z 
2025-12-04T10:29:00.9687183Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9687338Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_Transformer_multilayer_coder_cuda_tf32
2025-12-04T10:29:00.9687342Z 
2025-12-04T10:29:00.9687439Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9687522Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:29:00.9688048Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py:144: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.self_attn.batch_first was not True(use batch_first for better inference performance)
2025-12-04T10:29:00.9688143Z   self.encoder = TransformerEncoder(
2025-12-04T10:29:00.9688237Z ______________ TestNN.test_Transformer_multilayer_coder_cuda_tf32 ______________
2025-12-04T10:29:00.9688284Z Traceback (most recent call last):
2025-12-04T10:29:00.9688389Z   File "/var/lib/jenkins/pytorch/test/test_nn.py", line 7685, in with_tf32_on
2025-12-04T10:29:00.9688432Z     test.test_cuda(self, **kwargs)
2025-12-04T10:29:00.9688672Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_nn.py", line 3553, in test_cuda
2025-12-04T10:29:00.9688837Z     test_case.assertEqual(cpu_gradInput, gpu_gradInput, atol=self.precision, rtol=0, exact_dtype=False)
2025-12-04T10:29:00.9689054Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:29:00.9689137Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:29:00.9689192Z AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9689194Z 
2025-12-04T10:29:00.9689239Z Mismatched elements: 1 / 24 (4.2%)
2025-12-04T10:29:00.9689375Z Greatest absolute difference: 0.12506680249770774 at index (1, 0, 2) (up to 0.05 allowed)
2025-12-04T10:29:00.9689494Z Greatest relative difference: 0.01407432720269724 at index (1, 0, 2) (up to 0 allowed)
2025-12-04T10:29:00.9689495Z 
2025-12-04T10:29:00.9689539Z The failure occurred for item [1]
2025-12-04T10:29:00.9689543Z 
2025-12-04T10:29:00.9689624Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9689777Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_Transformer_multilayer_coder_cuda_tf32
2025-12-04T10:29:00.9689780Z 
2025-12-04T10:29:00.9689877Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9689958Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:29:00.9690478Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py:144: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.self_attn.batch_first was not True(use batch_first for better inference performance)
2025-12-04T10:29:00.9690528Z   self.encoder = TransformerEncoder(
2025-12-04T10:29:00.9690621Z ______________ TestNN.test_Transformer_multilayer_coder_cuda_tf32 ______________
2025-12-04T10:29:00.9690669Z Traceback (most recent call last):
2025-12-04T10:29:00.9690774Z   File "/var/lib/jenkins/pytorch/test/test_nn.py", line 7685, in with_tf32_on
2025-12-04T10:29:00.9690818Z     test.test_cuda(self, **kwargs)
2025-12-04T10:29:00.9691056Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_nn.py", line 3553, in test_cuda
2025-12-04T10:29:00.9691218Z     test_case.assertEqual(cpu_gradInput, gpu_gradInput, atol=self.precision, rtol=0, exact_dtype=False)
2025-12-04T10:29:00.9691437Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:29:00.9691519Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:29:00.9691575Z AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9691577Z 
2025-12-04T10:29:00.9691621Z Mismatched elements: 1 / 24 (4.2%)
2025-12-04T10:29:00.9691757Z Greatest absolute difference: 0.12506680249770774 at index (1, 0, 2) (up to 0.05 allowed)
2025-12-04T10:29:00.9691886Z Greatest relative difference: 0.01407432720269724 at index (1, 0, 2) (up to 0 allowed)
2025-12-04T10:29:00.9691887Z 
2025-12-04T10:29:00.9691931Z The failure occurred for item [1]
2025-12-04T10:29:00.9691933Z 
2025-12-04T10:29:00.9692014Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9692166Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_Transformer_multilayer_coder_cuda_tf32
2025-12-04T10:29:00.9692168Z 
2025-12-04T10:29:00.9692266Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9692344Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:29:00.9692827Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py:144: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.self_attn.batch_first was not True(use batch_first for better inference performance)
2025-12-04T10:29:00.9692894Z   self.encoder = TransformerEncoder(
2025-12-04T10:29:00.9692988Z ______________ TestNN.test_Transformer_multilayer_coder_cuda_tf32 ______________
2025-12-04T10:29:00.9693033Z Traceback (most recent call last):
2025-12-04T10:29:00.9693139Z   File "/var/lib/jenkins/pytorch/test/test_nn.py", line 7685, in with_tf32_on
2025-12-04T10:29:00.9693183Z     test.test_cuda(self, **kwargs)
2025-12-04T10:29:00.9693390Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_nn.py", line 3553, in test_cuda
2025-12-04T10:29:00.9693552Z     test_case.assertEqual(cpu_gradInput, gpu_gradInput, atol=self.precision, rtol=0, exact_dtype=False)
2025-12-04T10:29:00.9693769Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual
2025-12-04T10:29:00.9693850Z     raise error_metas.pop()[0].to_error(  # type: ignore[index]
2025-12-04T10:29:00.9693905Z AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9693909Z 
2025-12-04T10:29:00.9693953Z Mismatched elements: 1 / 24 (4.2%)
2025-12-04T10:29:00.9694088Z Greatest absolute difference: 0.12506680249770774 at index (1, 0, 2) (up to 0.05 allowed)
2025-12-04T10:29:00.9694215Z Greatest relative difference: 0.01407432720269724 at index (1, 0, 2) (up to 0 allowed)
2025-12-04T10:29:00.9694217Z 
2025-12-04T10:29:00.9694263Z The failure occurred for item [1]
2025-12-04T10:29:00.9694265Z 
2025-12-04T10:29:00.9694344Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9694494Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_Transformer_multilayer_coder_cuda_tf32
2025-12-04T10:29:00.9694496Z 
2025-12-04T10:29:00.9694592Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9694671Z ----------------------------- Captured stderr call -----------------------------
2025-12-04T10:29:00.9695191Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py:144: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.self_attn.batch_first was not True(use batch_first for better inference performance)
2025-12-04T10:29:00.9695242Z   self.encoder = TransformerEncoder(
2025-12-04T10:29:00.9695475Z - generated xml file: /var/lib/jenkins/pytorch/test/test-reports/python-pytest/test_nn/test_nn-7fc97ac0d5ae23ed.xml -
2025-12-04T10:29:00.9695539Z =========================== short test summary info ============================
2025-12-04T10:29:00.9695752Z FAILED [0.4577s] test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32 - AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9695754Z 
2025-12-04T10:29:00.9695799Z Mismatched elements: 1 / 24 (4.2%)
2025-12-04T10:29:00.9695926Z Greatest absolute difference: 0.12936227294994307 at index (0, 0, 0) (up to 0.05 allowed)
2025-12-04T10:29:00.9696046Z Greatest relative difference: 0.030461511019059924 at index (0, 0, 0) (up to 0 allowed)
2025-12-04T10:29:00.9696051Z 
2025-12-04T10:29:00.9696094Z The failure occurred for item [1]
2025-12-04T10:29:00.9696096Z 
2025-12-04T10:29:00.9696176Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9696328Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_Transformer_multilayer_coder_cuda_tf32
2025-12-04T10:29:00.9696330Z 
2025-12-04T10:29:00.9696428Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9696662Z FAILED [0.1010s] test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32 - AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9696664Z 
2025-12-04T10:29:00.9696711Z Mismatched elements: 3 / 24 (12.5%)
2025-12-04T10:29:00.9696836Z Greatest absolute difference: 0.22959615503416586 at index (1, 2, 2) (up to 0.08 allowed)
2025-12-04T10:29:00.9696954Z Greatest relative difference: 0.03982180413784518 at index (1, 2, 0) (up to 0 allowed)
2025-12-04T10:29:00.9696956Z 
2025-12-04T10:29:00.9697022Z The failure occurred for item [0]
2025-12-04T10:29:00.9697024Z 
2025-12-04T10:29:00.9697109Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9697288Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32
2025-12-04T10:29:00.9697290Z 
2025-12-04T10:29:00.9697389Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9697622Z FAILED [0.0687s] test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32 - AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9697624Z 
2025-12-04T10:29:00.9697669Z Mismatched elements: 3 / 24 (12.5%)
2025-12-04T10:29:00.9697795Z Greatest absolute difference: 0.22959615503416586 at index (1, 2, 2) (up to 0.08 allowed)
2025-12-04T10:29:00.9697910Z Greatest relative difference: 0.03982180413784518 at index (1, 2, 0) (up to 0 allowed)
2025-12-04T10:29:00.9697913Z 
2025-12-04T10:29:00.9697957Z The failure occurred for item [0]
2025-12-04T10:29:00.9697960Z 
2025-12-04T10:29:00.9698039Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9698257Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32
2025-12-04T10:29:00.9698260Z 
2025-12-04T10:29:00.9698358Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9698571Z FAILED [0.0674s] test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32 - AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9698573Z 
2025-12-04T10:29:00.9698616Z Mismatched elements: 3 / 24 (12.5%)
2025-12-04T10:29:00.9698741Z Greatest absolute difference: 0.22959615503416586 at index (1, 2, 2) (up to 0.08 allowed)
2025-12-04T10:29:00.9698858Z Greatest relative difference: 0.03982180413784518 at index (1, 2, 0) (up to 0 allowed)
2025-12-04T10:29:00.9698860Z 
2025-12-04T10:29:00.9698904Z The failure occurred for item [0]
2025-12-04T10:29:00.9698907Z 
2025-12-04T10:29:00.9698986Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9699163Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32
2025-12-04T10:29:00.9699165Z 
2025-12-04T10:29:00.9699291Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9699520Z FAILED [0.0650s] test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32 - AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9699522Z 
2025-12-04T10:29:00.9699569Z Mismatched elements: 3 / 24 (12.5%)
2025-12-04T10:29:00.9699695Z Greatest absolute difference: 0.22959615503416586 at index (1, 2, 2) (up to 0.08 allowed)
2025-12-04T10:29:00.9699814Z Greatest relative difference: 0.03982180413784518 at index (1, 2, 0) (up to 0 allowed)
2025-12-04T10:29:00.9699816Z 
2025-12-04T10:29:00.9699861Z The failure occurred for item [0]
2025-12-04T10:29:00.9699863Z 
2025-12-04T10:29:00.9699945Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9700121Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32
2025-12-04T10:29:00.9700123Z 
2025-12-04T10:29:00.9700224Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9700453Z FAILED [0.0641s] test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32 - AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9700455Z 
2025-12-04T10:29:00.9700503Z Mismatched elements: 3 / 24 (12.5%)
2025-12-04T10:29:00.9700629Z Greatest absolute difference: 0.22959615503416586 at index (1, 2, 2) (up to 0.08 allowed)
2025-12-04T10:29:00.9700748Z Greatest relative difference: 0.03982180413784518 at index (1, 2, 0) (up to 0 allowed)
2025-12-04T10:29:00.9700750Z 
2025-12-04T10:29:00.9700794Z The failure occurred for item [0]
2025-12-04T10:29:00.9700798Z 
2025-12-04T10:29:00.9700877Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9701081Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32
2025-12-04T10:29:00.9701083Z 
2025-12-04T10:29:00.9701182Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9701415Z FAILED [0.0648s] test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32 - AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9701417Z 
2025-12-04T10:29:00.9701460Z Mismatched elements: 3 / 24 (12.5%)
2025-12-04T10:29:00.9701586Z Greatest absolute difference: 0.22959615503416586 at index (1, 2, 2) (up to 0.08 allowed)
2025-12-04T10:29:00.9701702Z Greatest relative difference: 0.03982180413784518 at index (1, 2, 0) (up to 0 allowed)
2025-12-04T10:29:00.9701704Z 
2025-12-04T10:29:00.9701751Z The failure occurred for item [0]
2025-12-04T10:29:00.9701752Z 
2025-12-04T10:29:00.9701832Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9702009Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32
2025-12-04T10:29:00.9702011Z 
2025-12-04T10:29:00.9702107Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9702342Z FAILED [0.0651s] test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32 - AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9702344Z 
2025-12-04T10:29:00.9702388Z Mismatched elements: 3 / 24 (12.5%)
2025-12-04T10:29:00.9702515Z Greatest absolute difference: 0.22959615503416586 at index (1, 2, 2) (up to 0.08 allowed)
2025-12-04T10:29:00.9702631Z Greatest relative difference: 0.03982180413784518 at index (1, 2, 0) (up to 0 allowed)
2025-12-04T10:29:00.9702635Z 
2025-12-04T10:29:00.9702680Z The failure occurred for item [0]
2025-12-04T10:29:00.9702682Z 
2025-12-04T10:29:00.9702764Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9702938Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32
2025-12-04T10:29:00.9702941Z 
2025-12-04T10:29:00.9703049Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9703300Z FAILED [0.0645s] test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32 - AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9703302Z 
2025-12-04T10:29:00.9703349Z Mismatched elements: 3 / 24 (12.5%)
2025-12-04T10:29:00.9703475Z Greatest absolute difference: 0.22959615503416586 at index (1, 2, 2) (up to 0.08 allowed)
2025-12-04T10:29:00.9703594Z Greatest relative difference: 0.03982180413784518 at index (1, 2, 0) (up to 0 allowed)
2025-12-04T10:29:00.9703596Z 
2025-12-04T10:29:00.9703640Z The failure occurred for item [0]
2025-12-04T10:29:00.9703642Z 
2025-12-04T10:29:00.9703726Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9703902Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32
2025-12-04T10:29:00.9703905Z 
2025-12-04T10:29:00.9704005Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9704237Z FAILED [0.0656s] test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32 - AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9704241Z 
2025-12-04T10:29:00.9704286Z Mismatched elements: 3 / 24 (12.5%)
2025-12-04T10:29:00.9704414Z Greatest absolute difference: 0.22959615503416586 at index (1, 2, 2) (up to 0.08 allowed)
2025-12-04T10:29:00.9704532Z Greatest relative difference: 0.03982180413784518 at index (1, 2, 0) (up to 0 allowed)
2025-12-04T10:29:00.9704534Z 
2025-12-04T10:29:00.9704581Z The failure occurred for item [0]
2025-12-04T10:29:00.9704583Z 
2025-12-04T10:29:00.9704664Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9704846Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32
2025-12-04T10:29:00.9704877Z 
2025-12-04T10:29:00.9704975Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9705214Z FAILED [0.0610s] test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32 - AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9705217Z 
2025-12-04T10:29:00.9705261Z Mismatched elements: 3 / 24 (12.5%)
2025-12-04T10:29:00.9705388Z Greatest absolute difference: 0.22959615503416586 at index (1, 2, 2) (up to 0.08 allowed)
2025-12-04T10:29:00.9705504Z Greatest relative difference: 0.03982180413784518 at index (1, 2, 0) (up to 0 allowed)
2025-12-04T10:29:00.9705506Z 
2025-12-04T10:29:00.9705554Z The failure occurred for item [0]
2025-12-04T10:29:00.9705556Z 
2025-12-04T10:29:00.9705636Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9705799Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32
2025-12-04T10:29:00.9705803Z 
2025-12-04T10:29:00.9705903Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9706141Z FAILED [0.0659s] test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32 - AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9706143Z 
2025-12-04T10:29:00.9706189Z Mismatched elements: 3 / 24 (12.5%)
2025-12-04T10:29:00.9706315Z Greatest absolute difference: 0.22959615503416586 at index (1, 2, 2) (up to 0.08 allowed)
2025-12-04T10:29:00.9706434Z Greatest relative difference: 0.03982180413784518 at index (1, 2, 0) (up to 0 allowed)
2025-12-04T10:29:00.9706436Z 
2025-12-04T10:29:00.9706481Z The failure occurred for item [0]
2025-12-04T10:29:00.9706483Z 
2025-12-04T10:29:00.9706566Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9706725Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32
2025-12-04T10:29:00.9706727Z 
2025-12-04T10:29:00.9706830Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9707041Z FAILED [0.0631s] test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32 - AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9707064Z 
2025-12-04T10:29:00.9707111Z Mismatched elements: 3 / 24 (12.5%)
2025-12-04T10:29:00.9707235Z Greatest absolute difference: 0.22959615503416586 at index (1, 2, 2) (up to 0.08 allowed)
2025-12-04T10:29:00.9707353Z Greatest relative difference: 0.03982180413784518 at index (1, 2, 0) (up to 0 allowed)
2025-12-04T10:29:00.9707355Z 
2025-12-04T10:29:00.9707399Z The failure occurred for item [0]
2025-12-04T10:29:00.9707401Z 
2025-12-04T10:29:00.9707483Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9707643Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32
2025-12-04T10:29:00.9707648Z 
2025-12-04T10:29:00.9707746Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9707964Z FAILED [0.0613s] test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32 - AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9707966Z 
2025-12-04T10:29:00.9708013Z Mismatched elements: 3 / 24 (12.5%)
2025-12-04T10:29:00.9708183Z Greatest absolute difference: 0.22959615503416586 at index (1, 2, 2) (up to 0.08 allowed)
2025-12-04T10:29:00.9708301Z Greatest relative difference: 0.03982180413784518 at index (1, 2, 0) (up to 0 allowed)
2025-12-04T10:29:00.9708303Z 
2025-12-04T10:29:00.9708352Z The failure occurred for item [0]
2025-12-04T10:29:00.9708354Z 
2025-12-04T10:29:00.9708435Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9708599Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32
2025-12-04T10:29:00.9708602Z 
2025-12-04T10:29:00.9708699Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9708951Z FAILED [0.0590s] test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32 - AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9708953Z 
2025-12-04T10:29:00.9709001Z Mismatched elements: 3 / 24 (12.5%)
2025-12-04T10:29:00.9709132Z Greatest absolute difference: 0.22959615503416586 at index (1, 2, 2) (up to 0.08 allowed)
2025-12-04T10:29:00.9709249Z Greatest relative difference: 0.03982180413784518 at index (1, 2, 0) (up to 0 allowed)
2025-12-04T10:29:00.9709251Z 
2025-12-04T10:29:00.9709301Z The failure occurred for item [0]
2025-12-04T10:29:00.9709303Z 
2025-12-04T10:29:00.9709389Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9709547Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32
2025-12-04T10:29:00.9709549Z 
2025-12-04T10:29:00.9709650Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9709865Z FAILED [0.0608s] test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32 - AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9709867Z 
2025-12-04T10:29:00.9709914Z Mismatched elements: 3 / 24 (12.5%)
2025-12-04T10:29:00.9710039Z Greatest absolute difference: 0.22959615503416586 at index (1, 2, 2) (up to 0.08 allowed)
2025-12-04T10:29:00.9710159Z Greatest relative difference: 0.03982180413784518 at index (1, 2, 0) (up to 0 allowed)
2025-12-04T10:29:00.9710161Z 
2025-12-04T10:29:00.9710206Z The failure occurred for item [0]
2025-12-04T10:29:00.9710207Z 
2025-12-04T10:29:00.9710293Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9710454Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32
2025-12-04T10:29:00.9710456Z 
2025-12-04T10:29:00.9710558Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9710770Z FAILED [0.0622s] test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32 - AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9710775Z 
2025-12-04T10:29:00.9710824Z Mismatched elements: 3 / 24 (12.5%)
2025-12-04T10:29:00.9710977Z Greatest absolute difference: 0.22959615503416586 at index (1, 2, 2) (up to 0.08 allowed)
2025-12-04T10:29:00.9711098Z Greatest relative difference: 0.03982180413784518 at index (1, 2, 0) (up to 0 allowed)
2025-12-04T10:29:00.9711100Z 
2025-12-04T10:29:00.9711147Z The failure occurred for item [0]
2025-12-04T10:29:00.9711149Z 
2025-12-04T10:29:00.9711231Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9711393Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32
2025-12-04T10:29:00.9711396Z 
2025-12-04T10:29:00.9711493Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9711728Z FAILED [0.0603s] test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32 - AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9711733Z 
2025-12-04T10:29:00.9711780Z Mismatched elements: 3 / 24 (12.5%)
2025-12-04T10:29:00.9711912Z Greatest absolute difference: 0.22959615503416586 at index (1, 2, 2) (up to 0.08 allowed)
2025-12-04T10:29:00.9712031Z Greatest relative difference: 0.03982180413784518 at index (1, 2, 0) (up to 0 allowed)
2025-12-04T10:29:00.9712032Z 
2025-12-04T10:29:00.9712082Z The failure occurred for item [0]
2025-12-04T10:29:00.9712083Z 
2025-12-04T10:29:00.9712165Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9712332Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32
2025-12-04T10:29:00.9712334Z 
2025-12-04T10:29:00.9712433Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9712648Z FAILED [0.0609s] test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32 - AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9712675Z 
2025-12-04T10:29:00.9712723Z Mismatched elements: 3 / 24 (12.5%)
2025-12-04T10:29:00.9712849Z Greatest absolute difference: 0.22959615503416586 at index (1, 2, 2) (up to 0.08 allowed)
2025-12-04T10:29:00.9712971Z Greatest relative difference: 0.03982180413784518 at index (1, 2, 0) (up to 0 allowed)
2025-12-04T10:29:00.9712973Z 
2025-12-04T10:29:00.9713018Z The failure occurred for item [0]
2025-12-04T10:29:00.9713019Z 
2025-12-04T10:29:00.9713105Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9713265Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32
2025-12-04T10:29:00.9713267Z 
2025-12-04T10:29:00.9713369Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9713583Z FAILED [0.0622s] test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32 - AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9713587Z 
2025-12-04T10:29:00.9713636Z Mismatched elements: 3 / 24 (12.5%)
2025-12-04T10:29:00.9713762Z Greatest absolute difference: 0.22959615503416586 at index (1, 2, 2) (up to 0.08 allowed)
2025-12-04T10:29:00.9713887Z Greatest relative difference: 0.03982180413784518 at index (1, 2, 0) (up to 0 allowed)
2025-12-04T10:29:00.9713889Z 
2025-12-04T10:29:00.9713935Z The failure occurred for item [0]
2025-12-04T10:29:00.9713936Z 
2025-12-04T10:29:00.9714020Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9714181Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32
2025-12-04T10:29:00.9714183Z 
2025-12-04T10:29:00.9714283Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9714498Z FAILED [0.0609s] test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32 - AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9714505Z 
2025-12-04T10:29:00.9714551Z Mismatched elements: 3 / 24 (12.5%)
2025-12-04T10:29:00.9714679Z Greatest absolute difference: 0.22959615503416586 at index (1, 2, 2) (up to 0.08 allowed)
2025-12-04T10:29:00.9714818Z Greatest relative difference: 0.03982180413784518 at index (1, 2, 0) (up to 0 allowed)
2025-12-04T10:29:00.9714820Z 
2025-12-04T10:29:00.9714871Z The failure occurred for item [0]
2025-12-04T10:29:00.9714872Z 
2025-12-04T10:29:00.9714954Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9715116Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32
2025-12-04T10:29:00.9715118Z 
2025-12-04T10:29:00.9715215Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9715433Z FAILED [0.0608s] test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32 - AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9715435Z 
2025-12-04T10:29:00.9715481Z Mismatched elements: 3 / 24 (12.5%)
2025-12-04T10:29:00.9715611Z Greatest absolute difference: 0.22959615503416586 at index (1, 2, 2) (up to 0.08 allowed)
2025-12-04T10:29:00.9715730Z Greatest relative difference: 0.03982180413784518 at index (1, 2, 0) (up to 0 allowed)
2025-12-04T10:29:00.9715732Z 
2025-12-04T10:29:00.9715782Z The failure occurred for item [0]
2025-12-04T10:29:00.9715784Z 
2025-12-04T10:29:00.9715865Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9716029Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32
2025-12-04T10:29:00.9716031Z 
2025-12-04T10:29:00.9716134Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9716346Z FAILED [0.0610s] test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32 - AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9716348Z 
2025-12-04T10:29:00.9716397Z Mismatched elements: 3 / 24 (12.5%)
2025-12-04T10:29:00.9716544Z Greatest absolute difference: 0.22959615503416586 at index (1, 2, 2) (up to 0.08 allowed)
2025-12-04T10:29:00.9716667Z Greatest relative difference: 0.03982180413784518 at index (1, 2, 0) (up to 0 allowed)
2025-12-04T10:29:00.9716671Z 
2025-12-04T10:29:00.9716716Z The failure occurred for item [0]
2025-12-04T10:29:00.9716718Z 
2025-12-04T10:29:00.9716803Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9716965Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32
2025-12-04T10:29:00.9716967Z 
2025-12-04T10:29:00.9717072Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9717283Z FAILED [0.0638s] test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32 - AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9717285Z 
2025-12-04T10:29:00.9717334Z Mismatched elements: 3 / 24 (12.5%)
2025-12-04T10:29:00.9717462Z Greatest absolute difference: 0.22959615503416586 at index (1, 2, 2) (up to 0.08 allowed)
2025-12-04T10:29:00.9717592Z Greatest relative difference: 0.03982180413784518 at index (1, 2, 0) (up to 0 allowed)
2025-12-04T10:29:00.9717594Z 
2025-12-04T10:29:00.9717640Z The failure occurred for item [0]
2025-12-04T10:29:00.9717644Z 
2025-12-04T10:29:00.9717726Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9717892Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32
2025-12-04T10:29:00.9717894Z 
2025-12-04T10:29:00.9717992Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9718241Z FAILED [0.0624s] test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32 - AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9718244Z 
2025-12-04T10:29:00.9718288Z Mismatched elements: 3 / 24 (12.5%)
2025-12-04T10:29:00.9718419Z Greatest absolute difference: 0.22959615503416586 at index (1, 2, 2) (up to 0.08 allowed)
2025-12-04T10:29:00.9718539Z Greatest relative difference: 0.03982180413784518 at index (1, 2, 0) (up to 0 allowed)
2025-12-04T10:29:00.9718541Z 
2025-12-04T10:29:00.9718620Z The failure occurred for item [0]
2025-12-04T10:29:00.9718622Z 
2025-12-04T10:29:00.9718705Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9718866Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32
2025-12-04T10:29:00.9718868Z 
2025-12-04T10:29:00.9718966Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9719183Z FAILED [0.0587s] test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32 - AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9719185Z 
2025-12-04T10:29:00.9719228Z Mismatched elements: 3 / 24 (12.5%)
2025-12-04T10:29:00.9719358Z Greatest absolute difference: 0.22959615503416586 at index (1, 2, 2) (up to 0.08 allowed)
2025-12-04T10:29:00.9719479Z Greatest relative difference: 0.03982180413784518 at index (1, 2, 0) (up to 0 allowed)
2025-12-04T10:29:00.9719484Z 
2025-12-04T10:29:00.9719529Z The failure occurred for item [0]
2025-12-04T10:29:00.9719532Z 
2025-12-04T10:29:00.9719618Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9719776Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32
2025-12-04T10:29:00.9719778Z 
2025-12-04T10:29:00.9719884Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9720118Z FAILED [0.0562s] test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32 - AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9720120Z 
2025-12-04T10:29:00.9720171Z Mismatched elements: 3 / 24 (12.5%)
2025-12-04T10:29:00.9720306Z Greatest absolute difference: 0.22959615503416586 at index (1, 2, 2) (up to 0.08 allowed)
2025-12-04T10:29:00.9720471Z Greatest relative difference: 0.03982180413784518 at index (1, 2, 0) (up to 0 allowed)
2025-12-04T10:29:00.9720473Z 
2025-12-04T10:29:00.9720518Z The failure occurred for item [0]
2025-12-04T10:29:00.9720520Z 
2025-12-04T10:29:00.9720605Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9720765Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32
2025-12-04T10:29:00.9720767Z 
2025-12-04T10:29:00.9720867Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9721082Z FAILED [0.0600s] test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32 - AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9721087Z 
2025-12-04T10:29:00.9721134Z Mismatched elements: 3 / 24 (12.5%)
2025-12-04T10:29:00.9721262Z Greatest absolute difference: 0.22959615503416586 at index (1, 2, 2) (up to 0.08 allowed)
2025-12-04T10:29:00.9721382Z Greatest relative difference: 0.03982180413784518 at index (1, 2, 0) (up to 0 allowed)
2025-12-04T10:29:00.9721384Z 
2025-12-04T10:29:00.9721431Z The failure occurred for item [0]
2025-12-04T10:29:00.9721433Z 
2025-12-04T10:29:00.9721516Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9721679Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32
2025-12-04T10:29:00.9721680Z 
2025-12-04T10:29:00.9721779Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9721994Z FAILED [0.0597s] test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32 - AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9721996Z 
2025-12-04T10:29:00.9722041Z Mismatched elements: 3 / 24 (12.5%)
2025-12-04T10:29:00.9722173Z Greatest absolute difference: 0.22959615503416586 at index (1, 2, 2) (up to 0.08 allowed)
2025-12-04T10:29:00.9722293Z Greatest relative difference: 0.03982180413784518 at index (1, 2, 0) (up to 0 allowed)
2025-12-04T10:29:00.9722296Z 
2025-12-04T10:29:00.9722346Z The failure occurred for item [0]
2025-12-04T10:29:00.9722348Z 
2025-12-04T10:29:00.9722430Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9722616Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32
2025-12-04T10:29:00.9722618Z 
2025-12-04T10:29:00.9722717Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9722935Z FAILED [0.0588s] test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32 - AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9722937Z 
2025-12-04T10:29:00.9722984Z Mismatched elements: 3 / 24 (12.5%)
2025-12-04T10:29:00.9723109Z Greatest absolute difference: 0.22959615503416586 at index (1, 2, 2) (up to 0.08 allowed)
2025-12-04T10:29:00.9723230Z Greatest relative difference: 0.03982180413784518 at index (1, 2, 0) (up to 0 allowed)
2025-12-04T10:29:00.9723234Z 
2025-12-04T10:29:00.9723279Z The failure occurred for item [0]
2025-12-04T10:29:00.9723281Z 
2025-12-04T10:29:00.9723365Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9723529Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32
2025-12-04T10:29:00.9723530Z 
2025-12-04T10:29:00.9723632Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9723846Z FAILED [0.0604s] test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32 - AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9723848Z 
2025-12-04T10:29:00.9723896Z Mismatched elements: 3 / 24 (12.5%)
2025-12-04T10:29:00.9724022Z Greatest absolute difference: 0.22959615503416586 at index (1, 2, 2) (up to 0.08 allowed)
2025-12-04T10:29:00.9724144Z Greatest relative difference: 0.03982180413784518 at index (1, 2, 0) (up to 0 allowed)
2025-12-04T10:29:00.9724169Z 
2025-12-04T10:29:00.9724215Z The failure occurred for item [0]
2025-12-04T10:29:00.9724217Z 
2025-12-04T10:29:00.9724303Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9724466Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32
2025-12-04T10:29:00.9724472Z 
2025-12-04T10:29:00.9724570Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9724790Z FAILED [0.0622s] test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32 - AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9724792Z 
2025-12-04T10:29:00.9724837Z Mismatched elements: 3 / 24 (12.5%)
2025-12-04T10:29:00.9724969Z Greatest absolute difference: 0.22959615503416586 at index (1, 2, 2) (up to 0.08 allowed)
2025-12-04T10:29:00.9725089Z Greatest relative difference: 0.03982180413784518 at index (1, 2, 0) (up to 0 allowed)
2025-12-04T10:29:00.9725091Z 
2025-12-04T10:29:00.9725140Z The failure occurred for item [0]
2025-12-04T10:29:00.9725142Z 
2025-12-04T10:29:00.9725222Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9725391Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32
2025-12-04T10:29:00.9725393Z 
2025-12-04T10:29:00.9725493Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9725712Z FAILED [0.0611s] test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32 - AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9725714Z 
2025-12-04T10:29:00.9725760Z Mismatched elements: 3 / 24 (12.5%)
2025-12-04T10:29:00.9725889Z Greatest absolute difference: 0.22959615503416586 at index (1, 2, 2) (up to 0.08 allowed)
2025-12-04T10:29:00.9726007Z Greatest relative difference: 0.03982180413784518 at index (1, 2, 0) (up to 0 allowed)
2025-12-04T10:29:00.9726009Z 
2025-12-04T10:29:00.9726059Z The failure occurred for item [0]
2025-12-04T10:29:00.9726062Z 
2025-12-04T10:29:00.9726144Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9726329Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32
2025-12-04T10:29:00.9726332Z 
2025-12-04T10:29:00.9726433Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9726646Z FAILED [0.0547s] test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32 - AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9726648Z 
2025-12-04T10:29:00.9726695Z Mismatched elements: 3 / 24 (12.5%)
2025-12-04T10:29:00.9726820Z Greatest absolute difference: 0.22959615503416586 at index (1, 2, 2) (up to 0.08 allowed)
2025-12-04T10:29:00.9726941Z Greatest relative difference: 0.03982180413784518 at index (1, 2, 0) (up to 0 allowed)
2025-12-04T10:29:00.9726943Z 
2025-12-04T10:29:00.9726988Z The failure occurred for item [0]
2025-12-04T10:29:00.9726991Z 
2025-12-04T10:29:00.9727077Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9727237Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32
2025-12-04T10:29:00.9727238Z 
2025-12-04T10:29:00.9727343Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9727556Z FAILED [0.0602s] test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32 - AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9727558Z 
2025-12-04T10:29:00.9727608Z Mismatched elements: 3 / 24 (12.5%)
2025-12-04T10:29:00.9727734Z Greatest absolute difference: 0.22959615503416586 at index (1, 2, 2) (up to 0.08 allowed)
2025-12-04T10:29:00.9727854Z Greatest relative difference: 0.03982180413784518 at index (1, 2, 0) (up to 0 allowed)
2025-12-04T10:29:00.9727856Z 
2025-12-04T10:29:00.9727908Z The failure occurred for item [0]
2025-12-04T10:29:00.9727910Z 
2025-12-04T10:29:00.9728010Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9728212Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32
2025-12-04T10:29:00.9728214Z 
2025-12-04T10:29:00.9728314Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9728535Z FAILED [0.0624s] test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32 - AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9728537Z 
2025-12-04T10:29:00.9728582Z Mismatched elements: 3 / 24 (12.5%)
2025-12-04T10:29:00.9728713Z Greatest absolute difference: 0.22959615503416586 at index (1, 2, 2) (up to 0.08 allowed)
2025-12-04T10:29:00.9728831Z Greatest relative difference: 0.03982180413784518 at index (1, 2, 0) (up to 0 allowed)
2025-12-04T10:29:00.9728833Z 
2025-12-04T10:29:00.9728883Z The failure occurred for item [0]
2025-12-04T10:29:00.9728885Z 
2025-12-04T10:29:00.9728966Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9729132Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32
2025-12-04T10:29:00.9729133Z 
2025-12-04T10:29:00.9729234Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9729450Z FAILED [0.0611s] test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32 - AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9729452Z 
2025-12-04T10:29:00.9729497Z Mismatched elements: 3 / 24 (12.5%)
2025-12-04T10:29:00.9729623Z Greatest absolute difference: 0.22959615503416586 at index (1, 2, 2) (up to 0.08 allowed)
2025-12-04T10:29:00.9729741Z Greatest relative difference: 0.03982180413784518 at index (1, 2, 0) (up to 0 allowed)
2025-12-04T10:29:00.9729742Z 
2025-12-04T10:29:00.9729785Z The failure occurred for item [0]
2025-12-04T10:29:00.9729787Z 
2025-12-04T10:29:00.9729868Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9730028Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32
2025-12-04T10:29:00.9730030Z 
2025-12-04T10:29:00.9730152Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9730362Z FAILED [0.0598s] test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32 - AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9730364Z 
2025-12-04T10:29:00.9730407Z Mismatched elements: 3 / 24 (12.5%)
2025-12-04T10:29:00.9730530Z Greatest absolute difference: 0.22959615503416586 at index (1, 2, 2) (up to 0.08 allowed)
2025-12-04T10:29:00.9730647Z Greatest relative difference: 0.03982180413784518 at index (1, 2, 0) (up to 0 allowed)
2025-12-04T10:29:00.9730649Z 
2025-12-04T10:29:00.9730692Z The failure occurred for item [0]
2025-12-04T10:29:00.9730694Z 
2025-12-04T10:29:00.9730774Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9730932Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32
2025-12-04T10:29:00.9730935Z 
2025-12-04T10:29:00.9731033Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9731246Z FAILED [0.0643s] test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32 - AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9731250Z 
2025-12-04T10:29:00.9731292Z Mismatched elements: 3 / 24 (12.5%)
2025-12-04T10:29:00.9731417Z Greatest absolute difference: 0.22959615503416586 at index (1, 2, 2) (up to 0.08 allowed)
2025-12-04T10:29:00.9731533Z Greatest relative difference: 0.03982180413784518 at index (1, 2, 0) (up to 0 allowed)
2025-12-04T10:29:00.9731535Z 
2025-12-04T10:29:00.9731579Z The failure occurred for item [0]
2025-12-04T10:29:00.9731581Z 
2025-12-04T10:29:00.9731659Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9731817Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32
2025-12-04T10:29:00.9731847Z 
2025-12-04T10:29:00.9731944Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9732159Z FAILED [0.0626s] test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32 - AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9732161Z 
2025-12-04T10:29:00.9732203Z Mismatched elements: 3 / 24 (12.5%)
2025-12-04T10:29:00.9732330Z Greatest absolute difference: 0.22959615503416586 at index (1, 2, 2) (up to 0.08 allowed)
2025-12-04T10:29:00.9732448Z Greatest relative difference: 0.03982180413784518 at index (1, 2, 0) (up to 0 allowed)
2025-12-04T10:29:00.9732450Z 
2025-12-04T10:29:00.9732495Z The failure occurred for item [0]
2025-12-04T10:29:00.9732497Z 
2025-12-04T10:29:00.9732577Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9732736Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32
2025-12-04T10:29:00.9732739Z 
2025-12-04T10:29:00.9732837Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9733048Z FAILED [0.0623s] test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32 - AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9733050Z 
2025-12-04T10:29:00.9733093Z Mismatched elements: 3 / 24 (12.5%)
2025-12-04T10:29:00.9733216Z Greatest absolute difference: 0.22959615503416586 at index (1, 2, 2) (up to 0.08 allowed)
2025-12-04T10:29:00.9733333Z Greatest relative difference: 0.03982180413784518 at index (1, 2, 0) (up to 0 allowed)
2025-12-04T10:29:00.9733335Z 
2025-12-04T10:29:00.9733388Z The failure occurred for item [0]
2025-12-04T10:29:00.9733390Z 
2025-12-04T10:29:00.9733470Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9733628Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32
2025-12-04T10:29:00.9733633Z 
2025-12-04T10:29:00.9733731Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9733963Z FAILED [0.0592s] test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32 - AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9733965Z 
2025-12-04T10:29:00.9734009Z Mismatched elements: 3 / 24 (12.5%)
2025-12-04T10:29:00.9734133Z Greatest absolute difference: 0.22959615503416586 at index (1, 2, 2) (up to 0.08 allowed)
2025-12-04T10:29:00.9734250Z Greatest relative difference: 0.03982180413784518 at index (1, 2, 0) (up to 0 allowed)
2025-12-04T10:29:00.9734252Z 
2025-12-04T10:29:00.9734295Z The failure occurred for item [0]
2025-12-04T10:29:00.9734299Z 
2025-12-04T10:29:00.9734378Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9734538Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32
2025-12-04T10:29:00.9734540Z 
2025-12-04T10:29:00.9734638Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9734850Z FAILED [0.0573s] test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32 - AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9734853Z 
2025-12-04T10:29:00.9734896Z Mismatched elements: 3 / 24 (12.5%)
2025-12-04T10:29:00.9735021Z Greatest absolute difference: 0.22959615503416586 at index (1, 2, 2) (up to 0.08 allowed)
2025-12-04T10:29:00.9735135Z Greatest relative difference: 0.03982180413784518 at index (1, 2, 0) (up to 0 allowed)
2025-12-04T10:29:00.9735137Z 
2025-12-04T10:29:00.9735181Z The failure occurred for item [0]
2025-12-04T10:29:00.9735183Z 
2025-12-04T10:29:00.9735263Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9735421Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32
2025-12-04T10:29:00.9735423Z 
2025-12-04T10:29:00.9735520Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9735757Z FAILED [0.0603s] test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32 - AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9735758Z 
2025-12-04T10:29:00.9735802Z Mismatched elements: 3 / 24 (12.5%)
2025-12-04T10:29:00.9735930Z Greatest absolute difference: 0.22959615503416586 at index (1, 2, 2) (up to 0.08 allowed)
2025-12-04T10:29:00.9736047Z Greatest relative difference: 0.03982180413784518 at index (1, 2, 0) (up to 0 allowed)
2025-12-04T10:29:00.9736051Z 
2025-12-04T10:29:00.9736096Z The failure occurred for item [0]
2025-12-04T10:29:00.9736098Z 
2025-12-04T10:29:00.9736179Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9736340Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32
2025-12-04T10:29:00.9736341Z 
2025-12-04T10:29:00.9736440Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9736655Z FAILED [0.0641s] test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32 - AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9736656Z 
2025-12-04T10:29:00.9736701Z Mismatched elements: 3 / 24 (12.5%)
2025-12-04T10:29:00.9736825Z Greatest absolute difference: 0.22959615503416586 at index (1, 2, 2) (up to 0.08 allowed)
2025-12-04T10:29:00.9736943Z Greatest relative difference: 0.03982180413784518 at index (1, 2, 0) (up to 0 allowed)
2025-12-04T10:29:00.9736944Z 
2025-12-04T10:29:00.9736987Z The failure occurred for item [0]
2025-12-04T10:29:00.9736989Z 
2025-12-04T10:29:00.9737069Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9737228Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32
2025-12-04T10:29:00.9737230Z 
2025-12-04T10:29:00.9737327Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9737537Z FAILED [0.0645s] test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32 - AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9737541Z 
2025-12-04T10:29:00.9737583Z Mismatched elements: 3 / 24 (12.5%)
2025-12-04T10:29:00.9737724Z Greatest absolute difference: 0.22959615503416586 at index (1, 2, 2) (up to 0.08 allowed)
2025-12-04T10:29:00.9737842Z Greatest relative difference: 0.03982180413784518 at index (1, 2, 0) (up to 0 allowed)
2025-12-04T10:29:00.9737844Z 
2025-12-04T10:29:00.9737889Z The failure occurred for item [0]
2025-12-04T10:29:00.9737891Z 
2025-12-04T10:29:00.9737970Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9738169Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32
2025-12-04T10:29:00.9738171Z 
2025-12-04T10:29:00.9738267Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9738478Z FAILED [0.0603s] test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32 - AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9738483Z 
2025-12-04T10:29:00.9738525Z Mismatched elements: 3 / 24 (12.5%)
2025-12-04T10:29:00.9738653Z Greatest absolute difference: 0.22959615503416586 at index (1, 2, 2) (up to 0.08 allowed)
2025-12-04T10:29:00.9738770Z Greatest relative difference: 0.03982180413784518 at index (1, 2, 0) (up to 0 allowed)
2025-12-04T10:29:00.9738772Z 
2025-12-04T10:29:00.9738816Z The failure occurred for item [0]
2025-12-04T10:29:00.9738818Z 
2025-12-04T10:29:00.9738897Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9739053Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32
2025-12-04T10:29:00.9739055Z 
2025-12-04T10:29:00.9739151Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9739361Z FAILED [0.0616s] test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32 - AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9739393Z 
2025-12-04T10:29:00.9739437Z Mismatched elements: 3 / 24 (12.5%)
2025-12-04T10:29:00.9739564Z Greatest absolute difference: 0.22959615503416586 at index (1, 2, 2) (up to 0.08 allowed)
2025-12-04T10:29:00.9739682Z Greatest relative difference: 0.03982180413784518 at index (1, 2, 0) (up to 0 allowed)
2025-12-04T10:29:00.9739684Z 
2025-12-04T10:29:00.9739727Z The failure occurred for item [0]
2025-12-04T10:29:00.9739729Z 
2025-12-04T10:29:00.9739810Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9739971Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32
2025-12-04T10:29:00.9739973Z 
2025-12-04T10:29:00.9740074Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9740284Z FAILED [0.0651s] test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32 - AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9740288Z 
2025-12-04T10:29:00.9740331Z Mismatched elements: 3 / 24 (12.5%)
2025-12-04T10:29:00.9740456Z Greatest absolute difference: 0.22959615503416586 at index (1, 2, 2) (up to 0.08 allowed)
2025-12-04T10:29:00.9740574Z Greatest relative difference: 0.03982180413784518 at index (1, 2, 0) (up to 0 allowed)
2025-12-04T10:29:00.9740576Z 
2025-12-04T10:29:00.9740620Z The failure occurred for item [0]
2025-12-04T10:29:00.9740621Z 
2025-12-04T10:29:00.9740702Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9740861Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32
2025-12-04T10:29:00.9740864Z 
2025-12-04T10:29:00.9740959Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9741169Z FAILED [0.0604s] test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda_tf32 - AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9741173Z 
2025-12-04T10:29:00.9741215Z Mismatched elements: 3 / 24 (12.5%)
2025-12-04T10:29:00.9741341Z Greatest absolute difference: 0.22959615503416586 at index (1, 2, 2) (up to 0.08 allowed)
2025-12-04T10:29:00.9741484Z Greatest relative difference: 0.03982180413784518 at index (1, 2, 0) (up to 0 allowed)
2025-12-04T10:29:00.9741486Z 
2025-12-04T10:29:00.9741531Z The failure occurred for item [0]
2025-12-04T10:29:00.9741533Z 
2025-12-04T10:29:00.9741612Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9741773Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_TransformerEncoderLayer_gelu_activation_cuda_tf32
2025-12-04T10:29:00.9741775Z 
2025-12-04T10:29:00.9741871Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9742058Z FAILED [0.6074s] test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32 - AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9742061Z 
2025-12-04T10:29:00.9742105Z Mismatched elements: 1 / 24 (4.2%)
2025-12-04T10:29:00.9742230Z Greatest absolute difference: 0.12506680249770774 at index (1, 0, 2) (up to 0.05 allowed)
2025-12-04T10:29:00.9742347Z Greatest relative difference: 0.01407432720269724 at index (1, 0, 2) (up to 0 allowed)
2025-12-04T10:29:00.9742349Z 
2025-12-04T10:29:00.9742394Z The failure occurred for item [1]
2025-12-04T10:29:00.9742395Z 
2025-12-04T10:29:00.9742475Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9742615Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_Transformer_multilayer_coder_cuda_tf32
2025-12-04T10:29:00.9742617Z 
2025-12-04T10:29:00.9742714Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9742898Z FAILED [0.6129s] test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32 - AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9742900Z 
2025-12-04T10:29:00.9742944Z Mismatched elements: 1 / 24 (4.2%)
2025-12-04T10:29:00.9743091Z Greatest absolute difference: 0.12506680249770774 at index (1, 0, 2) (up to 0.05 allowed)
2025-12-04T10:29:00.9743209Z Greatest relative difference: 0.01407432720269724 at index (1, 0, 2) (up to 0 allowed)
2025-12-04T10:29:00.9743212Z 
2025-12-04T10:29:00.9743255Z The failure occurred for item [1]
2025-12-04T10:29:00.9743257Z 
2025-12-04T10:29:00.9743337Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9743474Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_Transformer_multilayer_coder_cuda_tf32
2025-12-04T10:29:00.9743476Z 
2025-12-04T10:29:00.9743573Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9743756Z FAILED [0.6165s] test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32 - AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9743758Z 
2025-12-04T10:29:00.9743802Z Mismatched elements: 1 / 24 (4.2%)
2025-12-04T10:29:00.9743926Z Greatest absolute difference: 0.12506680249770774 at index (1, 0, 2) (up to 0.05 allowed)
2025-12-04T10:29:00.9744046Z Greatest relative difference: 0.01407432720269724 at index (1, 0, 2) (up to 0 allowed)
2025-12-04T10:29:00.9744048Z 
2025-12-04T10:29:00.9744093Z The failure occurred for item [1]
2025-12-04T10:29:00.9744096Z 
2025-12-04T10:29:00.9744175Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9744329Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_Transformer_multilayer_coder_cuda_tf32
2025-12-04T10:29:00.9744331Z 
2025-12-04T10:29:00.9744428Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9744612Z FAILED [0.6365s] test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32 - AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9744614Z 
2025-12-04T10:29:00.9744656Z Mismatched elements: 1 / 24 (4.2%)
2025-12-04T10:29:00.9744782Z Greatest absolute difference: 0.12506680249770774 at index (1, 0, 2) (up to 0.05 allowed)
2025-12-04T10:29:00.9744901Z Greatest relative difference: 0.01407432720269724 at index (1, 0, 2) (up to 0 allowed)
2025-12-04T10:29:00.9744903Z 
2025-12-04T10:29:00.9744947Z The failure occurred for item [1]
2025-12-04T10:29:00.9744948Z 
2025-12-04T10:29:00.9745046Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9745197Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_Transformer_multilayer_coder_cuda_tf32
2025-12-04T10:29:00.9745199Z 
2025-12-04T10:29:00.9745294Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9745478Z FAILED [0.6230s] test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32 - AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9745480Z 
2025-12-04T10:29:00.9745523Z Mismatched elements: 1 / 24 (4.2%)
2025-12-04T10:29:00.9745647Z Greatest absolute difference: 0.12506680249770774 at index (1, 0, 2) (up to 0.05 allowed)
2025-12-04T10:29:00.9745766Z Greatest relative difference: 0.01407432720269724 at index (1, 0, 2) (up to 0 allowed)
2025-12-04T10:29:00.9745769Z 
2025-12-04T10:29:00.9745812Z The failure occurred for item [1]
2025-12-04T10:29:00.9745814Z 
2025-12-04T10:29:00.9745895Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9746047Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_Transformer_multilayer_coder_cuda_tf32
2025-12-04T10:29:00.9746048Z 
2025-12-04T10:29:00.9746146Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9746328Z FAILED [0.6156s] test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32 - AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9746330Z 
2025-12-04T10:29:00.9746373Z Mismatched elements: 1 / 24 (4.2%)
2025-12-04T10:29:00.9746496Z Greatest absolute difference: 0.12506680249770774 at index (1, 0, 2) (up to 0.05 allowed)
2025-12-04T10:29:00.9746614Z Greatest relative difference: 0.01407432720269724 at index (1, 0, 2) (up to 0 allowed)
2025-12-04T10:29:00.9746638Z 
2025-12-04T10:29:00.9746681Z The failure occurred for item [1]
2025-12-04T10:29:00.9746683Z 
2025-12-04T10:29:00.9746763Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9746915Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_Transformer_multilayer_coder_cuda_tf32
2025-12-04T10:29:00.9746917Z 
2025-12-04T10:29:00.9747015Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9747199Z FAILED [0.6162s] test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32 - AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9747201Z 
2025-12-04T10:29:00.9747245Z Mismatched elements: 1 / 24 (4.2%)
2025-12-04T10:29:00.9747369Z Greatest absolute difference: 0.12506680249770774 at index (1, 0, 2) (up to 0.05 allowed)
2025-12-04T10:29:00.9747488Z Greatest relative difference: 0.01407432720269724 at index (1, 0, 2) (up to 0 allowed)
2025-12-04T10:29:00.9747492Z 
2025-12-04T10:29:00.9747536Z The failure occurred for item [1]
2025-12-04T10:29:00.9747538Z 
2025-12-04T10:29:00.9747618Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9747771Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_Transformer_multilayer_coder_cuda_tf32
2025-12-04T10:29:00.9747773Z 
2025-12-04T10:29:00.9747869Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9748055Z FAILED [0.6142s] test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32 - AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9748057Z 
2025-12-04T10:29:00.9748170Z Mismatched elements: 1 / 24 (4.2%)
2025-12-04T10:29:00.9748296Z Greatest absolute difference: 0.12506680249770774 at index (1, 0, 2) (up to 0.05 allowed)
2025-12-04T10:29:00.9748412Z Greatest relative difference: 0.01407432720269724 at index (1, 0, 2) (up to 0 allowed)
2025-12-04T10:29:00.9748414Z 
2025-12-04T10:29:00.9748459Z The failure occurred for item [1]
2025-12-04T10:29:00.9748462Z 
2025-12-04T10:29:00.9748540Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9748692Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_Transformer_multilayer_coder_cuda_tf32
2025-12-04T10:29:00.9748729Z 
2025-12-04T10:29:00.9748827Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9749010Z FAILED [0.6200s] test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32 - AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9749012Z 
2025-12-04T10:29:00.9749054Z Mismatched elements: 1 / 24 (4.2%)
2025-12-04T10:29:00.9749180Z Greatest absolute difference: 0.12506680249770774 at index (1, 0, 2) (up to 0.05 allowed)
2025-12-04T10:29:00.9749298Z Greatest relative difference: 0.01407432720269724 at index (1, 0, 2) (up to 0 allowed)
2025-12-04T10:29:00.9749300Z 
2025-12-04T10:29:00.9749343Z The failure occurred for item [1]
2025-12-04T10:29:00.9749345Z 
2025-12-04T10:29:00.9749428Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9749578Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_Transformer_multilayer_coder_cuda_tf32
2025-12-04T10:29:00.9749580Z 
2025-12-04T10:29:00.9749687Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9749872Z FAILED [0.6120s] test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32 - AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9749874Z 
2025-12-04T10:29:00.9749916Z Mismatched elements: 1 / 24 (4.2%)
2025-12-04T10:29:00.9750040Z Greatest absolute difference: 0.12506680249770774 at index (1, 0, 2) (up to 0.05 allowed)
2025-12-04T10:29:00.9750158Z Greatest relative difference: 0.01407432720269724 at index (1, 0, 2) (up to 0 allowed)
2025-12-04T10:29:00.9750160Z 
2025-12-04T10:29:00.9750203Z The failure occurred for item [1]
2025-12-04T10:29:00.9750205Z 
2025-12-04T10:29:00.9750284Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9750465Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_Transformer_multilayer_coder_cuda_tf32
2025-12-04T10:29:00.9750467Z 
2025-12-04T10:29:00.9750566Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9750749Z FAILED [0.6210s] test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32 - AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9750753Z 
2025-12-04T10:29:00.9750795Z Mismatched elements: 1 / 24 (4.2%)
2025-12-04T10:29:00.9750918Z Greatest absolute difference: 0.12506680249770774 at index (1, 0, 2) (up to 0.05 allowed)
2025-12-04T10:29:00.9751034Z Greatest relative difference: 0.01407432720269724 at index (1, 0, 2) (up to 0 allowed)
2025-12-04T10:29:00.9751036Z 
2025-12-04T10:29:00.9751081Z The failure occurred for item [1]
2025-12-04T10:29:00.9751083Z 
2025-12-04T10:29:00.9751162Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9751313Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_Transformer_multilayer_coder_cuda_tf32
2025-12-04T10:29:00.9751317Z 
2025-12-04T10:29:00.9751412Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9751598Z FAILED [0.6129s] test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32 - AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9751600Z 
2025-12-04T10:29:00.9751642Z Mismatched elements: 1 / 24 (4.2%)
2025-12-04T10:29:00.9751767Z Greatest absolute difference: 0.12506680249770774 at index (1, 0, 2) (up to 0.05 allowed)
2025-12-04T10:29:00.9751883Z Greatest relative difference: 0.01407432720269724 at index (1, 0, 2) (up to 0 allowed)
2025-12-04T10:29:00.9751885Z 
2025-12-04T10:29:00.9751930Z The failure occurred for item [1]
2025-12-04T10:29:00.9751931Z 
2025-12-04T10:29:00.9752010Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9752149Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_Transformer_multilayer_coder_cuda_tf32
2025-12-04T10:29:00.9752154Z 
2025-12-04T10:29:00.9752250Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9752456Z FAILED [0.6030s] test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32 - AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9752458Z 
2025-12-04T10:29:00.9752502Z Mismatched elements: 1 / 24 (4.2%)
2025-12-04T10:29:00.9752626Z Greatest absolute difference: 0.12506680249770774 at index (1, 0, 2) (up to 0.05 allowed)
2025-12-04T10:29:00.9752744Z Greatest relative difference: 0.01407432720269724 at index (1, 0, 2) (up to 0 allowed)
2025-12-04T10:29:00.9752746Z 
2025-12-04T10:29:00.9752789Z The failure occurred for item [1]
2025-12-04T10:29:00.9752791Z 
2025-12-04T10:29:00.9752871Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9753022Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_Transformer_multilayer_coder_cuda_tf32
2025-12-04T10:29:00.9753025Z 
2025-12-04T10:29:00.9753122Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9753304Z FAILED [0.6179s] test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32 - AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9753307Z 
2025-12-04T10:29:00.9753351Z Mismatched elements: 1 / 24 (4.2%)
2025-12-04T10:29:00.9753475Z Greatest absolute difference: 0.12506680249770774 at index (1, 0, 2) (up to 0.05 allowed)
2025-12-04T10:29:00.9753593Z Greatest relative difference: 0.01407432720269724 at index (1, 0, 2) (up to 0 allowed)
2025-12-04T10:29:00.9753595Z 
2025-12-04T10:29:00.9753638Z The failure occurred for item [1]
2025-12-04T10:29:00.9753640Z 
2025-12-04T10:29:00.9753719Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9753868Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_Transformer_multilayer_coder_cuda_tf32
2025-12-04T10:29:00.9753872Z 
2025-12-04T10:29:00.9753967Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9754174Z FAILED [0.6440s] test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32 - AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9754176Z 
2025-12-04T10:29:00.9754220Z Mismatched elements: 1 / 24 (4.2%)
2025-12-04T10:29:00.9754344Z Greatest absolute difference: 0.12506680249770774 at index (1, 0, 2) (up to 0.05 allowed)
2025-12-04T10:29:00.9754460Z Greatest relative difference: 0.01407432720269724 at index (1, 0, 2) (up to 0 allowed)
2025-12-04T10:29:00.9754462Z 
2025-12-04T10:29:00.9754506Z The failure occurred for item [1]
2025-12-04T10:29:00.9754508Z 
2025-12-04T10:29:00.9754586Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9754738Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_Transformer_multilayer_coder_cuda_tf32
2025-12-04T10:29:00.9754740Z 
2025-12-04T10:29:00.9754843Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9755026Z FAILED [0.6338s] test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32 - AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9755028Z 
2025-12-04T10:29:00.9755070Z Mismatched elements: 1 / 24 (4.2%)
2025-12-04T10:29:00.9755196Z Greatest absolute difference: 0.12506680249770774 at index (1, 0, 2) (up to 0.05 allowed)
2025-12-04T10:29:00.9755312Z Greatest relative difference: 0.01407432720269724 at index (1, 0, 2) (up to 0 allowed)
2025-12-04T10:29:00.9755314Z 
2025-12-04T10:29:00.9755359Z The failure occurred for item [1]
2025-12-04T10:29:00.9755360Z 
2025-12-04T10:29:00.9755439Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9755590Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_Transformer_multilayer_coder_cuda_tf32
2025-12-04T10:29:00.9755592Z 
2025-12-04T10:29:00.9755688Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9755870Z FAILED [0.6222s] test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32 - AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9755873Z 
2025-12-04T10:29:00.9755917Z Mismatched elements: 1 / 24 (4.2%)
2025-12-04T10:29:00.9756060Z Greatest absolute difference: 0.12506680249770774 at index (1, 0, 2) (up to 0.05 allowed)
2025-12-04T10:29:00.9756179Z Greatest relative difference: 0.01407432720269724 at index (1, 0, 2) (up to 0 allowed)
2025-12-04T10:29:00.9756181Z 
2025-12-04T10:29:00.9756225Z The failure occurred for item [1]
2025-12-04T10:29:00.9756226Z 
2025-12-04T10:29:00.9756307Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9756459Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_Transformer_multilayer_coder_cuda_tf32
2025-12-04T10:29:00.9756460Z 
2025-12-04T10:29:00.9756567Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9756749Z FAILED [0.6173s] test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32 - AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9756753Z 
2025-12-04T10:29:00.9756797Z Mismatched elements: 1 / 24 (4.2%)
2025-12-04T10:29:00.9756921Z Greatest absolute difference: 0.12506680249770774 at index (1, 0, 2) (up to 0.05 allowed)
2025-12-04T10:29:00.9757041Z Greatest relative difference: 0.01407432720269724 at index (1, 0, 2) (up to 0 allowed)
2025-12-04T10:29:00.9757043Z 
2025-12-04T10:29:00.9757086Z The failure occurred for item [1]
2025-12-04T10:29:00.9757089Z 
2025-12-04T10:29:00.9757168Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9757321Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_Transformer_multilayer_coder_cuda_tf32
2025-12-04T10:29:00.9757322Z 
2025-12-04T10:29:00.9757418Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9757603Z FAILED [0.6256s] test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32 - AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9757626Z 
2025-12-04T10:29:00.9757669Z Mismatched elements: 1 / 24 (4.2%)
2025-12-04T10:29:00.9757794Z Greatest absolute difference: 0.12506680249770774 at index (1, 0, 2) (up to 0.05 allowed)
2025-12-04T10:29:00.9757912Z Greatest relative difference: 0.01407432720269724 at index (1, 0, 2) (up to 0 allowed)
2025-12-04T10:29:00.9757913Z 
2025-12-04T10:29:00.9757957Z The failure occurred for item [1]
2025-12-04T10:29:00.9757959Z 
2025-12-04T10:29:00.9758038Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9758224Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_Transformer_multilayer_coder_cuda_tf32
2025-12-04T10:29:00.9758226Z 
2025-12-04T10:29:00.9758323Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9758509Z FAILED [0.6230s] test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32 - AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9758512Z 
2025-12-04T10:29:00.9758554Z Mismatched elements: 1 / 24 (4.2%)
2025-12-04T10:29:00.9758681Z Greatest absolute difference: 0.12506680249770774 at index (1, 0, 2) (up to 0.05 allowed)
2025-12-04T10:29:00.9758799Z Greatest relative difference: 0.01407432720269724 at index (1, 0, 2) (up to 0 allowed)
2025-12-04T10:29:00.9758804Z 
2025-12-04T10:29:00.9758847Z The failure occurred for item [1]
2025-12-04T10:29:00.9758849Z 
2025-12-04T10:29:00.9758928Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9759079Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_Transformer_multilayer_coder_cuda_tf32
2025-12-04T10:29:00.9759081Z 
2025-12-04T10:29:00.9759179Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9759361Z FAILED [0.6186s] test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32 - AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9759363Z 
2025-12-04T10:29:00.9759408Z Mismatched elements: 1 / 24 (4.2%)
2025-12-04T10:29:00.9759532Z Greatest absolute difference: 0.12506680249770774 at index (1, 0, 2) (up to 0.05 allowed)
2025-12-04T10:29:00.9759651Z Greatest relative difference: 0.01407432720269724 at index (1, 0, 2) (up to 0 allowed)
2025-12-04T10:29:00.9759653Z 
2025-12-04T10:29:00.9759732Z The failure occurred for item [1]
2025-12-04T10:29:00.9759734Z 
2025-12-04T10:29:00.9759820Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9759974Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_Transformer_multilayer_coder_cuda_tf32
2025-12-04T10:29:00.9759976Z 
2025-12-04T10:29:00.9760076Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9760266Z FAILED [0.6138s] test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32 - AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9760268Z 
2025-12-04T10:29:00.9760313Z Mismatched elements: 1 / 24 (4.2%)
2025-12-04T10:29:00.9760439Z Greatest absolute difference: 0.12506680249770774 at index (1, 0, 2) (up to 0.05 allowed)
2025-12-04T10:29:00.9760561Z Greatest relative difference: 0.01407432720269724 at index (1, 0, 2) (up to 0 allowed)
2025-12-04T10:29:00.9760563Z 
2025-12-04T10:29:00.9760609Z The failure occurred for item [1]
2025-12-04T10:29:00.9760611Z 
2025-12-04T10:29:00.9760693Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9760845Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_Transformer_multilayer_coder_cuda_tf32
2025-12-04T10:29:00.9760847Z 
2025-12-04T10:29:00.9760953Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9761139Z FAILED [0.6118s] test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32 - AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9761142Z 
2025-12-04T10:29:00.9761184Z Mismatched elements: 1 / 24 (4.2%)
2025-12-04T10:29:00.9761312Z Greatest absolute difference: 0.12506680249770774 at index (1, 0, 2) (up to 0.05 allowed)
2025-12-04T10:29:00.9761463Z Greatest relative difference: 0.01407432720269724 at index (1, 0, 2) (up to 0 allowed)
2025-12-04T10:29:00.9761465Z 
2025-12-04T10:29:00.9761510Z The failure occurred for item [1]
2025-12-04T10:29:00.9761512Z 
2025-12-04T10:29:00.9761593Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9761744Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_Transformer_multilayer_coder_cuda_tf32
2025-12-04T10:29:00.9761746Z 
2025-12-04T10:29:00.9761842Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9762030Z FAILED [0.6032s] test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32 - AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9762032Z 
2025-12-04T10:29:00.9762074Z Mismatched elements: 1 / 24 (4.2%)
2025-12-04T10:29:00.9762201Z Greatest absolute difference: 0.12506680249770774 at index (1, 0, 2) (up to 0.05 allowed)
2025-12-04T10:29:00.9762319Z Greatest relative difference: 0.01407432720269724 at index (1, 0, 2) (up to 0 allowed)
2025-12-04T10:29:00.9762325Z 
2025-12-04T10:29:00.9762368Z The failure occurred for item [1]
2025-12-04T10:29:00.9762370Z 
2025-12-04T10:29:00.9762450Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9762602Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_Transformer_multilayer_coder_cuda_tf32
2025-12-04T10:29:00.9762604Z 
2025-12-04T10:29:00.9762701Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9762885Z FAILED [0.6102s] test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32 - AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9762887Z 
2025-12-04T10:29:00.9762930Z Mismatched elements: 1 / 24 (4.2%)
2025-12-04T10:29:00.9763055Z Greatest absolute difference: 0.12506680249770774 at index (1, 0, 2) (up to 0.05 allowed)
2025-12-04T10:29:00.9763172Z Greatest relative difference: 0.01407432720269724 at index (1, 0, 2) (up to 0 allowed)
2025-12-04T10:29:00.9763176Z 
2025-12-04T10:29:00.9763219Z The failure occurred for item [1]
2025-12-04T10:29:00.9763221Z 
2025-12-04T10:29:00.9763301Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9763455Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_Transformer_multilayer_coder_cuda_tf32
2025-12-04T10:29:00.9763457Z 
2025-12-04T10:29:00.9763555Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9763737Z FAILED [0.6118s] test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32 - AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9763740Z 
2025-12-04T10:29:00.9763782Z Mismatched elements: 1 / 24 (4.2%)
2025-12-04T10:29:00.9763907Z Greatest absolute difference: 0.12506680249770774 at index (1, 0, 2) (up to 0.05 allowed)
2025-12-04T10:29:00.9764022Z Greatest relative difference: 0.01407432720269724 at index (1, 0, 2) (up to 0 allowed)
2025-12-04T10:29:00.9764024Z 
2025-12-04T10:29:00.9764068Z The failure occurred for item [1]
2025-12-04T10:29:00.9764071Z 
2025-12-04T10:29:00.9764151Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9764305Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_Transformer_multilayer_coder_cuda_tf32
2025-12-04T10:29:00.9764308Z 
2025-12-04T10:29:00.9764404Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9764589Z FAILED [0.6214s] test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32 - AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9764591Z 
2025-12-04T10:29:00.9764634Z Mismatched elements: 1 / 24 (4.2%)
2025-12-04T10:29:00.9764762Z Greatest absolute difference: 0.12506680249770774 at index (1, 0, 2) (up to 0.05 allowed)
2025-12-04T10:29:00.9764880Z Greatest relative difference: 0.01407432720269724 at index (1, 0, 2) (up to 0 allowed)
2025-12-04T10:29:00.9764882Z 
2025-12-04T10:29:00.9764927Z The failure occurred for item [1]
2025-12-04T10:29:00.9764929Z 
2025-12-04T10:29:00.9765030Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9765182Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_Transformer_multilayer_coder_cuda_tf32
2025-12-04T10:29:00.9765184Z 
2025-12-04T10:29:00.9765290Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9765474Z FAILED [0.6154s] test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32 - AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9765476Z 
2025-12-04T10:29:00.9765520Z Mismatched elements: 1 / 24 (4.2%)
2025-12-04T10:29:00.9765646Z Greatest absolute difference: 0.12506680249770774 at index (1, 0, 2) (up to 0.05 allowed)
2025-12-04T10:29:00.9765763Z Greatest relative difference: 0.01407432720269724 at index (1, 0, 2) (up to 0 allowed)
2025-12-04T10:29:00.9765765Z 
2025-12-04T10:29:00.9765810Z The failure occurred for item [1]
2025-12-04T10:29:00.9765812Z 
2025-12-04T10:29:00.9765893Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9766044Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_Transformer_multilayer_coder_cuda_tf32
2025-12-04T10:29:00.9766046Z 
2025-12-04T10:29:00.9766153Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9766335Z FAILED [0.6103s] test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32 - AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9766337Z 
2025-12-04T10:29:00.9766381Z Mismatched elements: 1 / 24 (4.2%)
2025-12-04T10:29:00.9766506Z Greatest absolute difference: 0.12506680249770774 at index (1, 0, 2) (up to 0.05 allowed)
2025-12-04T10:29:00.9766624Z Greatest relative difference: 0.01407432720269724 at index (1, 0, 2) (up to 0 allowed)
2025-12-04T10:29:00.9766626Z 
2025-12-04T10:29:00.9766669Z The failure occurred for item [1]
2025-12-04T10:29:00.9766671Z 
2025-12-04T10:29:00.9766751Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9766901Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_Transformer_multilayer_coder_cuda_tf32
2025-12-04T10:29:00.9766906Z 
2025-12-04T10:29:00.9767002Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9767205Z FAILED [0.6236s] test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32 - AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9767207Z 
2025-12-04T10:29:00.9767250Z Mismatched elements: 1 / 24 (4.2%)
2025-12-04T10:29:00.9767375Z Greatest absolute difference: 0.12506680249770774 at index (1, 0, 2) (up to 0.05 allowed)
2025-12-04T10:29:00.9767492Z Greatest relative difference: 0.01407432720269724 at index (1, 0, 2) (up to 0 allowed)
2025-12-04T10:29:00.9767494Z 
2025-12-04T10:29:00.9767539Z The failure occurred for item [1]
2025-12-04T10:29:00.9767541Z 
2025-12-04T10:29:00.9767620Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9767770Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_Transformer_multilayer_coder_cuda_tf32
2025-12-04T10:29:00.9767773Z 
2025-12-04T10:29:00.9767870Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9768057Z FAILED [0.6268s] test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32 - AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9768059Z 
2025-12-04T10:29:00.9768157Z Mismatched elements: 1 / 24 (4.2%)
2025-12-04T10:29:00.9768284Z Greatest absolute difference: 0.12506680249770774 at index (1, 0, 2) (up to 0.05 allowed)
2025-12-04T10:29:00.9768400Z Greatest relative difference: 0.01407432720269724 at index (1, 0, 2) (up to 0 allowed)
2025-12-04T10:29:00.9768402Z 
2025-12-04T10:29:00.9768448Z The failure occurred for item [1]
2025-12-04T10:29:00.9768450Z 
2025-12-04T10:29:00.9768530Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9768680Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_Transformer_multilayer_coder_cuda_tf32
2025-12-04T10:29:00.9768712Z 
2025-12-04T10:29:00.9768810Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9768995Z FAILED [0.6076s] test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32 - AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9768998Z 
2025-12-04T10:29:00.9769042Z Mismatched elements: 1 / 24 (4.2%)
2025-12-04T10:29:00.9769168Z Greatest absolute difference: 0.12506680249770774 at index (1, 0, 2) (up to 0.05 allowed)
2025-12-04T10:29:00.9769285Z Greatest relative difference: 0.01407432720269724 at index (1, 0, 2) (up to 0 allowed)
2025-12-04T10:29:00.9769287Z 
2025-12-04T10:29:00.9769330Z The failure occurred for item [1]
2025-12-04T10:29:00.9769332Z 
2025-12-04T10:29:00.9769415Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9769566Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_Transformer_multilayer_coder_cuda_tf32
2025-12-04T10:29:00.9769568Z 
2025-12-04T10:29:00.9769666Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9769852Z FAILED [0.6051s] test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32 - AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9769854Z 
2025-12-04T10:29:00.9769900Z Mismatched elements: 1 / 24 (4.2%)
2025-12-04T10:29:00.9770025Z Greatest absolute difference: 0.12506680249770774 at index (1, 0, 2) (up to 0.05 allowed)
2025-12-04T10:29:00.9770145Z Greatest relative difference: 0.01407432720269724 at index (1, 0, 2) (up to 0 allowed)
2025-12-04T10:29:00.9770147Z 
2025-12-04T10:29:00.9770190Z The failure occurred for item [1]
2025-12-04T10:29:00.9770192Z 
2025-12-04T10:29:00.9770272Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9770425Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_Transformer_multilayer_coder_cuda_tf32
2025-12-04T10:29:00.9770428Z 
2025-12-04T10:29:00.9770523Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9770710Z FAILED [0.6040s] test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32 - AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9770712Z 
2025-12-04T10:29:00.9770754Z Mismatched elements: 1 / 24 (4.2%)
2025-12-04T10:29:00.9770904Z Greatest absolute difference: 0.12506680249770774 at index (1, 0, 2) (up to 0.05 allowed)
2025-12-04T10:29:00.9771022Z Greatest relative difference: 0.01407432720269724 at index (1, 0, 2) (up to 0 allowed)
2025-12-04T10:29:00.9771024Z 
2025-12-04T10:29:00.9771069Z The failure occurred for item [1]
2025-12-04T10:29:00.9771071Z 
2025-12-04T10:29:00.9771150Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9771302Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_Transformer_multilayer_coder_cuda_tf32
2025-12-04T10:29:00.9771304Z 
2025-12-04T10:29:00.9771400Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9771587Z FAILED [0.6169s] test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32 - AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9771590Z 
2025-12-04T10:29:00.9771633Z Mismatched elements: 1 / 24 (4.2%)
2025-12-04T10:29:00.9771762Z Greatest absolute difference: 0.12506680249770774 at index (1, 0, 2) (up to 0.05 allowed)
2025-12-04T10:29:00.9771878Z Greatest relative difference: 0.01407432720269724 at index (1, 0, 2) (up to 0 allowed)
2025-12-04T10:29:00.9771880Z 
2025-12-04T10:29:00.9771924Z The failure occurred for item [1]
2025-12-04T10:29:00.9771926Z 
2025-12-04T10:29:00.9772007Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9772157Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_Transformer_multilayer_coder_cuda_tf32
2025-12-04T10:29:00.9772159Z 
2025-12-04T10:29:00.9772256Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9772439Z FAILED [0.6266s] test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32 - AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9772463Z 
2025-12-04T10:29:00.9772508Z Mismatched elements: 1 / 24 (4.2%)
2025-12-04T10:29:00.9772633Z Greatest absolute difference: 0.12506680249770774 at index (1, 0, 2) (up to 0.05 allowed)
2025-12-04T10:29:00.9772752Z Greatest relative difference: 0.01407432720269724 at index (1, 0, 2) (up to 0 allowed)
2025-12-04T10:29:00.9772754Z 
2025-12-04T10:29:00.9772797Z The failure occurred for item [1]
2025-12-04T10:29:00.9772799Z 
2025-12-04T10:29:00.9772880Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9773031Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_Transformer_multilayer_coder_cuda_tf32
2025-12-04T10:29:00.9773033Z 
2025-12-04T10:29:00.9773130Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9773313Z FAILED [0.6150s] test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32 - AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9773316Z 
2025-12-04T10:29:00.9773360Z Mismatched elements: 1 / 24 (4.2%)
2025-12-04T10:29:00.9773486Z Greatest absolute difference: 0.12506680249770774 at index (1, 0, 2) (up to 0.05 allowed)
2025-12-04T10:29:00.9773606Z Greatest relative difference: 0.01407432720269724 at index (1, 0, 2) (up to 0 allowed)
2025-12-04T10:29:00.9773608Z 
2025-12-04T10:29:00.9773652Z The failure occurred for item [1]
2025-12-04T10:29:00.9773654Z 
2025-12-04T10:29:00.9773734Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9773888Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_Transformer_multilayer_coder_cuda_tf32
2025-12-04T10:29:00.9773890Z 
2025-12-04T10:29:00.9773996Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9774179Z FAILED [0.5983s] test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32 - AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9774181Z 
2025-12-04T10:29:00.9774224Z Mismatched elements: 1 / 24 (4.2%)
2025-12-04T10:29:00.9774353Z Greatest absolute difference: 0.12506680249770774 at index (1, 0, 2) (up to 0.05 allowed)
2025-12-04T10:29:00.9774470Z Greatest relative difference: 0.01407432720269724 at index (1, 0, 2) (up to 0 allowed)
2025-12-04T10:29:00.9774492Z 
2025-12-04T10:29:00.9774537Z The failure occurred for item [1]
2025-12-04T10:29:00.9774539Z 
2025-12-04T10:29:00.9774618Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9774771Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_Transformer_multilayer_coder_cuda_tf32
2025-12-04T10:29:00.9774773Z 
2025-12-04T10:29:00.9774870Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9775058Z FAILED [0.6195s] test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32 - AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9775059Z 
2025-12-04T10:29:00.9775102Z Mismatched elements: 1 / 24 (4.2%)
2025-12-04T10:29:00.9775228Z Greatest absolute difference: 0.12506680249770774 at index (1, 0, 2) (up to 0.05 allowed)
2025-12-04T10:29:00.9775346Z Greatest relative difference: 0.01407432720269724 at index (1, 0, 2) (up to 0 allowed)
2025-12-04T10:29:00.9775349Z 
2025-12-04T10:29:00.9775394Z The failure occurred for item [1]
2025-12-04T10:29:00.9775395Z 
2025-12-04T10:29:00.9775478Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9775631Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_Transformer_multilayer_coder_cuda_tf32
2025-12-04T10:29:00.9775633Z 
2025-12-04T10:29:00.9775731Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9775914Z FAILED [0.6245s] test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32 - AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9775916Z 
2025-12-04T10:29:00.9775960Z Mismatched elements: 1 / 24 (4.2%)
2025-12-04T10:29:00.9776085Z Greatest absolute difference: 0.12506680249770774 at index (1, 0, 2) (up to 0.05 allowed)
2025-12-04T10:29:00.9776233Z Greatest relative difference: 0.01407432720269724 at index (1, 0, 2) (up to 0 allowed)
2025-12-04T10:29:00.9776235Z 
2025-12-04T10:29:00.9776278Z The failure occurred for item [1]
2025-12-04T10:29:00.9776280Z 
2025-12-04T10:29:00.9776362Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9776513Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_Transformer_multilayer_coder_cuda_tf32
2025-12-04T10:29:00.9776515Z 
2025-12-04T10:29:00.9776613Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9776799Z FAILED [0.6159s] test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32 - AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9776802Z 
2025-12-04T10:29:00.9776844Z Mismatched elements: 1 / 24 (4.2%)
2025-12-04T10:29:00.9776969Z Greatest absolute difference: 0.12506680249770774 at index (1, 0, 2) (up to 0.05 allowed)
2025-12-04T10:29:00.9777089Z Greatest relative difference: 0.01407432720269724 at index (1, 0, 2) (up to 0 allowed)
2025-12-04T10:29:00.9777092Z 
2025-12-04T10:29:00.9777137Z The failure occurred for item [1]
2025-12-04T10:29:00.9777139Z 
2025-12-04T10:29:00.9777221Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9777374Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_Transformer_multilayer_coder_cuda_tf32
2025-12-04T10:29:00.9777376Z 
2025-12-04T10:29:00.9777471Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9777656Z FAILED [0.6143s] test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32 - AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9777658Z 
2025-12-04T10:29:00.9777700Z Mismatched elements: 1 / 24 (4.2%)
2025-12-04T10:29:00.9777825Z Greatest absolute difference: 0.12506680249770774 at index (1, 0, 2) (up to 0.05 allowed)
2025-12-04T10:29:00.9777941Z Greatest relative difference: 0.01407432720269724 at index (1, 0, 2) (up to 0 allowed)
2025-12-04T10:29:00.9777945Z 
2025-12-04T10:29:00.9777989Z The failure occurred for item [1]
2025-12-04T10:29:00.9777990Z 
2025-12-04T10:29:00.9778112Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9778291Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_Transformer_multilayer_coder_cuda_tf32
2025-12-04T10:29:00.9778293Z 
2025-12-04T10:29:00.9778389Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9778572Z FAILED [0.6232s] test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32 - AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9778574Z 
2025-12-04T10:29:00.9778617Z Mismatched elements: 1 / 24 (4.2%)
2025-12-04T10:29:00.9778740Z Greatest absolute difference: 0.12506680249770774 at index (1, 0, 2) (up to 0.05 allowed)
2025-12-04T10:29:00.9778858Z Greatest relative difference: 0.01407432720269724 at index (1, 0, 2) (up to 0 allowed)
2025-12-04T10:29:00.9778862Z 
2025-12-04T10:29:00.9778905Z The failure occurred for item [1]
2025-12-04T10:29:00.9778907Z 
2025-12-04T10:29:00.9778988Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9779139Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_Transformer_multilayer_coder_cuda_tf32
2025-12-04T10:29:00.9779141Z 
2025-12-04T10:29:00.9779246Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9779429Z FAILED [0.6282s] test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32 - AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9779430Z 
2025-12-04T10:29:00.9779474Z Mismatched elements: 1 / 24 (4.2%)
2025-12-04T10:29:00.9779599Z Greatest absolute difference: 0.12506680249770774 at index (1, 0, 2) (up to 0.05 allowed)
2025-12-04T10:29:00.9779717Z Greatest relative difference: 0.01407432720269724 at index (1, 0, 2) (up to 0 allowed)
2025-12-04T10:29:00.9779719Z 
2025-12-04T10:29:00.9779762Z The failure occurred for item [1]
2025-12-04T10:29:00.9779790Z 
2025-12-04T10:29:00.9779872Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9780025Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_Transformer_multilayer_coder_cuda_tf32
2025-12-04T10:29:00.9780027Z 
2025-12-04T10:29:00.9780126Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9780311Z FAILED [0.6702s] test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32 - AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9780314Z 
2025-12-04T10:29:00.9780357Z Mismatched elements: 1 / 24 (4.2%)
2025-12-04T10:29:00.9780484Z Greatest absolute difference: 0.12506680249770774 at index (1, 0, 2) (up to 0.05 allowed)
2025-12-04T10:29:00.9780601Z Greatest relative difference: 0.01407432720269724 at index (1, 0, 2) (up to 0 allowed)
2025-12-04T10:29:00.9780603Z 
2025-12-04T10:29:00.9780647Z The failure occurred for item [1]
2025-12-04T10:29:00.9780649Z 
2025-12-04T10:29:00.9780729Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9780881Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_Transformer_multilayer_coder_cuda_tf32
2025-12-04T10:29:00.9780883Z 
2025-12-04T10:29:00.9780981Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9781165Z FAILED [0.6135s] test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32 - AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9781166Z 
2025-12-04T10:29:00.9781209Z Mismatched elements: 1 / 24 (4.2%)
2025-12-04T10:29:00.9781334Z Greatest absolute difference: 0.12506680249770774 at index (1, 0, 2) (up to 0.05 allowed)
2025-12-04T10:29:00.9781450Z Greatest relative difference: 0.01407432720269724 at index (1, 0, 2) (up to 0 allowed)
2025-12-04T10:29:00.9781451Z 
2025-12-04T10:29:00.9781496Z The failure occurred for item [1]
2025-12-04T10:29:00.9781498Z 
2025-12-04T10:29:00.9781577Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9781886Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_Transformer_multilayer_coder_cuda_tf32
2025-12-04T10:29:00.9781889Z 
2025-12-04T10:29:00.9782024Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9782207Z FAILED [0.6028s] test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32 - AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9782209Z 
2025-12-04T10:29:00.9782252Z Mismatched elements: 1 / 24 (4.2%)
2025-12-04T10:29:00.9782377Z Greatest absolute difference: 0.12506680249770774 at index (1, 0, 2) (up to 0.05 allowed)
2025-12-04T10:29:00.9782494Z Greatest relative difference: 0.01407432720269724 at index (1, 0, 2) (up to 0 allowed)
2025-12-04T10:29:00.9782496Z 
2025-12-04T10:29:00.9782539Z The failure occurred for item [1]
2025-12-04T10:29:00.9782541Z 
2025-12-04T10:29:00.9782621Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9782770Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_Transformer_multilayer_coder_cuda_tf32
2025-12-04T10:29:00.9782774Z 
2025-12-04T10:29:00.9782879Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9783065Z FAILED [0.6113s] test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32 - AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9783067Z 
2025-12-04T10:29:00.9783110Z Mismatched elements: 1 / 24 (4.2%)
2025-12-04T10:29:00.9783234Z Greatest absolute difference: 0.12506680249770774 at index (1, 0, 2) (up to 0.05 allowed)
2025-12-04T10:29:00.9783352Z Greatest relative difference: 0.01407432720269724 at index (1, 0, 2) (up to 0 allowed)
2025-12-04T10:29:00.9783354Z 
2025-12-04T10:29:00.9783398Z The failure occurred for item [1]
2025-12-04T10:29:00.9783399Z 
2025-12-04T10:29:00.9783480Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9783629Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_Transformer_multilayer_coder_cuda_tf32
2025-12-04T10:29:00.9783658Z 
2025-12-04T10:29:00.9783754Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9783938Z FAILED [0.6588s] test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda_tf32 - AssertionError: Tensor-likes are not close!
2025-12-04T10:29:00.9783940Z 
2025-12-04T10:29:00.9783982Z Mismatched elements: 1 / 24 (4.2%)
2025-12-04T10:29:00.9784114Z Greatest absolute difference: 0.12506680249770774 at index (1, 0, 2) (up to 0.05 allowed)
2025-12-04T10:29:00.9784229Z Greatest relative difference: 0.01407432720269724 at index (1, 0, 2) (up to 0 allowed)
2025-12-04T10:29:00.9784231Z 
2025-12-04T10:29:00.9784276Z The failure occurred for item [1]
2025-12-04T10:29:00.9784278Z 
2025-12-04T10:29:00.9784357Z To execute this test, run the following from the base repo dir:
2025-12-04T10:29:00.9784507Z     PYTORCH_TEST_WITH_ROCM=1 python test/test_nn.py TestNN.test_Transformer_multilayer_coder_cuda_tf32
2025-12-04T10:29:00.9784512Z 
2025-12-04T10:29:00.9784608Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-12-04T10:29:00.9784677Z ======================== 99 failed, 1 passed in 38.11s =========================
2025-12-04T10:29:00.9784679Z 
2025-12-04T10:29:00.9784826Z FINISHED PRINTING LOG FILE of test_nn 2/2 (test/test-reports/test_nn_2.2_b8d2727f9154e3fb_.log)
2025-12-04T10:29:00.9784828Z 
2025-12-04T10:29:00.9784925Z Finished test_nn 2/2 ... [2025-12-04 10:29:00.887600][4968923.383783065], took 0.69min
2025-12-04T10:29:00.9785266Z Parsing testcases for test report: /var/lib/jenkins/pytorch/test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-2a683b2ad952299a.xml
2025-12-04T10:29:00.9785374Z Failed to parse and upload json test reports: Unable to locate credentials
2025-12-04T10:29:00.9785484Z GITHUB_RUN_ID, GITHUB_RUN_ATTEMPT, or ARTIFACTS_FILE_SUFFIX not set, not uploading
2025-12-04T10:29:00.9785531Z Uploading artifacts took 0.00 seconds
2025-12-04T10:29:00.9785573Z test_nn 2/2 failed!
2025-12-04T10:29:03.1696713Z Running test batch 'tests to run' cost 3648.58 seconds
2025-12-04T10:29:03.1717456Z Emitting td_test_failure_stats_v2
2025-12-04T10:29:03.1721940Z Writing 1 documents to S3 ossci-raw-job-status/ossci_uploaded_metrics/td_test_failure_stats_v2_1764844143_0de1bb18d0fc11f08f054a74d31b3f5e
2025-12-04T10:29:05.2124210Z /var/lib/jenkins/pytorch/tools/stats/upload_metrics.py:156: UserWarning: Error uploading metric td_test_failure_stats_v2 to DynamoDB: Unable to locate credentials
2025-12-04T10:29:05.2125606Z   warn(f"Error uploading metric {metric_name} to DynamoDB: {e}")
2025-12-04T10:29:05.2144990Z Emitting td_test_failure_stats_v2
2025-12-04T10:29:05.2150761Z Writing 1 documents to S3 ossci-raw-job-status/ossci_uploaded_metrics/td_test_failure_stats_v2_1764844145_0f196d50d0fc11f08f054a74d31b3f5e
2025-12-04T10:29:05.2256848Z Emitting td_test_failure_stats_v2
2025-12-04T10:29:05.2257921Z Writing 1 documents to S3 ossci-raw-job-status/ossci_uploaded_metrics/td_test_failure_stats_v2_1764844145_0f1b1970d0fc11f08f054a74d31b3f5e
2025-12-04T10:29:05.2317635Z inductor/test_triton_kernels 1/1 failed!
2025-12-04T10:29:05.2318217Z test_linalg 1/2 failed!
2025-12-04T10:29:05.2318574Z test_nn 2/2 failed!
2025-12-04T10:29:06.0746555Z 
2025-12-04T10:29:06.0747078Z real	60m54.721s
2025-12-04T10:29:06.0747256Z user	158m2.347s
2025-12-04T10:29:06.0747353Z sys	118m18.200s
2025-12-04T10:29:06.0747460Z + assert_git_not_dirty
2025-12-04T10:29:06.0747607Z + [[ linux-jammy-rocm-py3.10 != *rocm* ]]
2025-12-04T10:29:06.0747757Z + test_libtorch 2
2025-12-04T10:29:06.0747855Z + local SHARD=2
2025-12-04T10:29:06.0747961Z + [[ default != \s\l\o\w ]]
2025-12-04T10:29:06.0748225Z + echo 'Testing libtorch'
2025-12-04T10:29:06.0748335Z Testing libtorch
2025-12-04T10:29:06.0748719Z + ln -sf /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libbackend_with_compiler.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin
2025-12-04T10:29:06.0758304Z + ln -sf /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libjitbackend_test.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin
2025-12-04T10:29:06.0765785Z + ln -sf /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libcaffe2_nvrtc.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin
2025-12-04T10:29:06.0777655Z + ln -sf /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libc10.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libc10_hip.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin
2025-12-04T10:29:06.0795455Z + ln -sf /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libshm /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libshm.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libshm_windows /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin
2025-12-04T10:29:06.0803187Z + ln -sf /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorch.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorch_global_deps.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorch_hip.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorch_python.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorchbind_test.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin
2025-12-04T10:29:06.0808404Z + ln -sf '/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libnvfuser*' /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin
2025-12-04T10:29:06.0816646Z + export CPP_TESTS_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin
2025-12-04T10:29:06.0816947Z + CPP_TESTS_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin
2025-12-04T10:29:06.0817144Z + [[ -z 2 ]]
2025-12-04T10:29:06.0817236Z + [[ 2 == \1 ]]
2025-12-04T10:29:06.0817333Z + [[ -z 2 ]]
2025-12-04T10:29:06.0817421Z + [[ 2 == \2 ]]
2025-12-04T10:29:06.0817518Z + test_libtorch_jit
2025-12-04T10:29:06.0817616Z + pushd test
2025-12-04T10:29:06.0817715Z ~/pytorch/test ~/pytorch
2025-12-04T10:29:06.0817842Z + python cpp/jit/tests_setup.py setup
2025-12-04T10:29:07.0989155Z + popd
2025-12-04T10:29:07.0990327Z ~/pytorch
2025-12-04T10:29:07.0990691Z + [[ linux-jammy-rocm-py3.10 == *cuda* ]]
2025-12-04T10:29:07.0991532Z + python test/run_test.py --cpp --verbose -i cpp/test_jit cpp/test_lazy -k 'not CUDA'
2025-12-04T10:29:10.2115957Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/pytorch/test/.pytorch-disabled-tests.json
2025-12-04T10:29:10.2157546Z Found test times from artifacts
2025-12-04T10:29:10.2327017Z Found test times from artifacts
2025-12-04T10:29:10.2332411Z Running all tests
2025-12-04T10:29:10.2334917Z Running parallel tests on 1 processes
2025-12-04T10:29:10.2335437Z Name: tests to run (est. time: 0.0min)
2025-12-04T10:29:10.2335872Z   Serial tests (2):
2025-12-04T10:29:10.2336230Z     cpp/test_jit 1/1
2025-12-04T10:29:10.2336572Z     cpp/test_lazy 1/1
2025-12-04T10:29:10.2336910Z   Parallel tests (0):
2025-12-04T10:29:10.2337267Z Name: excluded (est. time: 0.0min)
2025-12-04T10:29:10.2337675Z   Serial tests (0):
2025-12-04T10:29:10.2338004Z   Parallel tests (0):
2025-12-04T10:29:10.2338642Z Running cpp/test_jit 1/1 ... [2025-12-04 10:29:10.233701][4968932.729891289]
2025-12-04T10:29:10.2339297Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-12-04T10:29:10.2339904Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T10:29:10.2340730Z Finished cpp/test_jit 1/1 ... [2025-12-04 10:29:10.233801][4968932.729993827], took 0.00min
2025-12-04T10:29:10.2355851Z Parsing testcases for test report: /var/lib/jenkins/pytorch/test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-2a683b2ad952299a.xml
2025-12-04T10:29:12.2778828Z Failed to parse and upload json test reports: Unable to locate credentials
2025-12-04T10:29:12.2779830Z GITHUB_RUN_ID, GITHUB_RUN_ATTEMPT, or ARTIFACTS_FILE_SUFFIX not set, not uploading
2025-12-04T10:29:12.2781232Z Uploading artifacts took 0.00 seconds
2025-12-04T10:29:12.2781859Z Running cpp/test_lazy 1/1 ... [2025-12-04 10:29:12.277374][4968934.773555617]
2025-12-04T10:29:12.2782548Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-12-04T10:29:12.2783145Z Skipping C++ tests when running under RERUN_DISABLED_TESTS mode
2025-12-04T10:29:12.2783967Z Finished cpp/test_lazy 1/1 ... [2025-12-04 10:29:12.277458][4968934.773650825], took 0.00min
2025-12-04T10:29:12.2791142Z Parsing testcases for test report: /var/lib/jenkins/pytorch/test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-2a683b2ad952299a.xml
2025-12-04T10:29:12.2793372Z Failed to parse and upload json test reports: Unable to locate credentials
2025-12-04T10:29:14.7008796Z Running test batch 'tests to run' cost 4.47 seconds
2025-12-04T10:29:15.5982931Z + pushd test
2025-12-04T10:29:15.5983390Z ~/pytorch/test ~/pytorch
2025-12-04T10:29:15.5983910Z + python cpp/jit/tests_setup.py shutdown
2025-12-04T10:29:16.5044585Z + popd
2025-12-04T10:29:16.5045020Z ~/pytorch
2025-12-04T10:29:16.5045335Z + assert_git_not_dirty
2025-12-04T10:29:16.5045783Z + [[ linux-jammy-rocm-py3.10 != *rocm* ]]
2025-12-04T10:29:16.5046333Z + test_aot_compilation
2025-12-04T10:29:16.5046739Z + echo 'Testing Ahead of Time compilation'
2025-12-04T10:29:16.5047239Z Testing Ahead of Time compilation
2025-12-04T10:29:16.5049103Z + ln -sf /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libc10.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libc10_hip.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin
2025-12-04T10:29:16.5065968Z + ln -sf /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorch.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorch_global_deps.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorch_hip.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorch_python.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorchbind_test.so /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin
2025-12-04T10:29:16.5083286Z + '[' -f /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin/test_mobile_nnc ']'
2025-12-04T10:29:16.5084350Z + '[' -f /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin/aot_model_compiler_test ']'
2025-12-04T10:29:16.5085116Z + test_custom_script_ops
2025-12-04T10:29:16.5085524Z + echo 'Testing custom script operators'
2025-12-04T10:29:16.5085997Z Testing custom script operators
2025-12-04T10:29:16.5086450Z + [[ linux-jammy-rocm-py3.10 == *s390x* ]]
2025-12-04T10:29:16.5087219Z + CUSTOM_OP_BUILD=/var/lib/jenkins/pytorch/build/custom_test_artifacts/custom-op-build
2025-12-04T10:29:16.5087981Z + pushd test/custom_operator
2025-12-04T10:29:16.5088478Z ~/pytorch/test/custom_operator ~/pytorch
2025-12-04T10:29:16.5089213Z + cp -a /var/lib/jenkins/pytorch/build/custom_test_artifacts/custom-op-build build
2025-12-04T10:29:16.5138027Z + python test_custom_ops.py -v
2025-12-04T10:29:17.8905838Z Test results will be stored in test-reports/python-unittest/test_custom_ops
2025-12-04T10:29:17.8910841Z 
2025-12-04T10:29:17.8911072Z Running tests...
2025-12-04T10:29:17.8911560Z ----------------------------------------------------------------------
2025-12-04T10:29:18.2951517Z   test_abstract_impl_pystub_faketensor (__main__.TestCustomOperators) ... /var/lib/jenkins/pytorch/test/custom_operator/my_custom_ops.py:13: FutureWarning: `create_unbacked_symint` is deprecated, please use `new_dynamic_size` instead
2025-12-04T10:29:18.2953374Z   nnz = ctx.create_unbacked_symint()
2025-12-04T10:29:18.2991722Z ok (0.408s)
2025-12-04T10:29:18.3024461Z   test_abstract_impl_pystub_meta (__main__.TestCustomOperators) ... ok (0.003s)
2025-12-04T10:29:18.3040235Z   test_calling_custom_op (__main__.TestCustomOperators) ... ok (0.001s)
2025-12-04T10:29:18.3229670Z   test_calling_custom_op_inside_script_module (__main__.TestCustomOperators) ... ok (0.019s)
2025-12-04T10:29:18.3234188Z   test_calling_custom_op_string (__main__.TestCustomOperators) ... ok (0.000s)
2025-12-04T10:29:18.3251934Z   test_calling_custom_op_with_autograd (__main__.TestCustomOperators) ... /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py:865: UserWarning: Using backward() with create_graph=True will create a reference cycle between the parameter and its gradient which can cause a memory leak. We recommend using autograd.grad when creating the graph to avoid this. If you have to use this function, make sure to reset the .grad fields of your parameters to None after use to break the cycle and avoid the leak. (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/autograd/engine.cpp:1301.)
2025-12-04T10:29:18.3256525Z   return Variable._execution_engine.run_backward(  # Calls into the C++ engine to run the backward pass
2025-12-04T10:29:18.3257344Z ok (0.002s)
2025-12-04T10:29:18.3258727Z   test_calling_custom_op_with_autograd_in_nograd_mode (__main__.TestCustomOperators) ... ok (0.000s)
2025-12-04T10:29:18.3261916Z   test_custom_library_is_loaded (__main__.TestCustomOperators) ... ok (0.000s)
2025-12-04T10:29:18.3530830Z   test_dynamo_pystub_suggestion (__main__.TestCustomOperators) ... ok (0.027s)
2025-12-04T10:29:18.3536928Z   test_op_with_incorrect_abstract_impl_pystub (__main__.TestCustomOperators) ... ok (0.001s)
2025-12-04T10:29:18.3540311Z   test_op_with_no_abstract_impl_pystub (__main__.TestCustomOperators) ... ok (0.000s)
2025-12-04T10:29:18.3582898Z   test_saving_and_loading_script_module_with_custom_op (__main__.TestCustomOperators) ... ok (0.004s)
2025-12-04T10:29:18.3583676Z 
2025-12-04T10:29:18.3583938Z ----------------------------------------------------------------------
2025-12-04T10:29:18.3584532Z Ran 12 tests in 0.467s
2025-12-04T10:29:18.3584791Z 
2025-12-04T10:29:18.3584908Z OK
2025-12-04T10:29:18.3585077Z 
2025-12-04T10:29:18.3585230Z Generating XML reports...
2025-12-04T10:29:18.3601288Z Generated XML report: test-reports/python-unittest/test_custom_ops/TEST-TestCustomOperators-20251204102917.xml
2025-12-04T10:29:18.9610945Z + python model.py --export-script-module=model.pt
2025-12-04T10:29:19.8159577Z + build/test_custom_ops ./model.pt
2025-12-04T10:29:20.0194410Z [W1204 10:29:20.515127447 engine.cpp:1301] Warning: Using backward() with create_graph=True will create a reference cycle between the parameter and its gradient which can cause a memory leak. We recommend using autograd.grad when creating the graph to avoid this. If you have to use this function, make sure to reset the .grad fields of your parameters to None after use to break the cycle and avoid the leak. (function operator())
2025-12-04T10:29:20.3832632Z ok
2025-12-04T10:29:20.5134506Z + popd
2025-12-04T10:29:20.5134859Z ~/pytorch
2025-12-04T10:29:20.5135206Z + assert_git_not_dirty
2025-12-04T10:29:20.5135660Z + [[ linux-jammy-rocm-py3.10 != *rocm* ]]
2025-12-04T10:29:20.5136210Z + test_custom_backend
2025-12-04T10:29:20.5136610Z + echo 'Testing custom backends'
2025-12-04T10:29:20.5137049Z Testing custom backends
2025-12-04T10:29:20.5137879Z + CUSTOM_BACKEND_BUILD=/var/lib/jenkins/pytorch/build/custom_test_artifacts/custom-backend-build
2025-12-04T10:29:20.5138992Z + pushd test/custom_backend
2025-12-04T10:29:20.5139435Z ~/pytorch/test/custom_backend ~/pytorch
2025-12-04T10:29:20.5140219Z + cp -a /var/lib/jenkins/pytorch/build/custom_test_artifacts/custom-backend-build build
2025-12-04T10:29:20.5177288Z + python test_custom_backend.py -v
2025-12-04T10:29:21.8533320Z Test results will be stored in test-reports/python-unittest/test_custom_backend
2025-12-04T10:29:21.8536150Z 
2025-12-04T10:29:21.8536326Z Running tests...
2025-12-04T10:29:21.8536789Z ----------------------------------------------------------------------
2025-12-04T10:29:21.8537937Z   test_execute (__main__.TestCustomBackend)
2025-12-04T10:29:22.0385587Z Test execution using the custom backend. ... ok (0.185s)
2025-12-04T10:29:22.0389137Z   test_save_load (__main__.TestCustomBackend)
2025-12-04T10:29:22.0488726Z Test that a lowered module can be executed correctly ... ok (0.009s)
2025-12-04T10:29:22.0490792Z 
2025-12-04T10:29:22.0491103Z ----------------------------------------------------------------------
2025-12-04T10:29:22.0491674Z Ran 2 tests in 0.194s
2025-12-04T10:29:22.0491913Z 
2025-12-04T10:29:22.0492039Z OK
2025-12-04T10:29:22.0492199Z 
2025-12-04T10:29:22.0492368Z Generating XML reports...
2025-12-04T10:29:22.0493307Z Generated XML report: test-reports/python-unittest/test_custom_backend/TEST-TestCustomBackend-20251204102921.xml
2025-12-04T10:29:22.5275157Z + python backend.py --export-module-to=model.pt
2025-12-04T10:29:23.5198237Z + build/test_custom_backend ./model.pt
2025-12-04T10:29:23.7180806Z Testing custom_backend
2025-12-04T10:29:23.7438495Z OK
2025-12-04T10:29:23.8225534Z + rm -f ./model.pt
2025-12-04T10:29:23.8243698Z + popd
2025-12-04T10:29:23.8244077Z ~/pytorch
2025-12-04T10:29:23.8244411Z + assert_git_not_dirty
2025-12-04T10:29:23.8244928Z + [[ linux-jammy-rocm-py3.10 != *rocm* ]]
2025-12-04T10:29:23.8245461Z + test_torch_function_benchmark
2025-12-04T10:29:23.8245957Z + echo 'Testing __torch_function__ benchmarks'
2025-12-04T10:29:23.8246509Z Testing __torch_function__ benchmarks
2025-12-04T10:29:23.8247010Z + pushd benchmarks/overrides_benchmark
2025-12-04T10:29:23.8247587Z ~/pytorch/benchmarks/overrides_benchmark ~/pytorch
2025-12-04T10:29:23.8248226Z + python bench.py -n 1 -m 2
2025-12-04T10:29:24.4659457Z Type tensor had a minimum time of 0.00286102294921875 us and a standard deviation of 0.556338403839618 us.
2025-12-04T10:29:24.4660730Z Type SubTensor had a minimum time of 0.00667572021484375 us and a standard deviation of 0.03135725637548603 us.
2025-12-04T10:29:24.4662065Z Type WithTorchFunction had a minimum time of 0.0026226043701171875 us and a standard deviation of 0.006069146365916822 us.
2025-12-04T10:29:24.4663466Z Type SubWithTorchFunction had a minimum time of 0.003814697265625 us and a standard deviation of 0.0021916362129559275 us.
2025-12-04T10:29:24.6846570Z + python pyspybench.py Tensor -n 1
2025-12-04T10:29:25.5313511Z + python pyspybench.py SubTensor -n 1
2025-12-04T10:29:26.4023519Z + python pyspybench.py WithTorchFunction -n 1
2025-12-04T10:29:27.2982569Z + python pyspybench.py SubWithTorchFunction -n 1
2025-12-04T10:29:28.2010680Z + popd
2025-12-04T10:29:28.2010930Z ~/pytorch
2025-12-04T10:29:28.2011096Z + assert_git_not_dirty
2025-12-04T10:29:28.2011330Z + [[ linux-jammy-rocm-py3.10 != *rocm* ]]
2025-12-04T10:29:28.2012340Z + sccache_epilogue
2025-12-04T10:29:28.2012576Z + echo '::group::Sccache Compilation Log'
2025-12-04T10:29:28.2013132Z ##[group]Sccache Compilation Log
2025-12-04T10:29:28.2013385Z + echo '=================== sccache compilation log ==================='
2025-12-04T10:29:28.2013687Z =================== sccache compilation log ===================
2025-12-04T10:29:28.2014132Z + python /var/lib/jenkins/pytorch/.ci/pytorch/print_sccache_log.py /var/lib/jenkins/sccache_error.log
2025-12-04T10:29:28.2086531Z + echo '=========== If your build fails, please take a look at the log above for possible reasons ==========='
2025-12-04T10:29:28.2086974Z =========== If your build fails, please take a look at the log above for possible reasons ===========
2025-12-04T10:29:28.2087282Z + sccache --show-stats
2025-12-04T10:29:28.2117473Z Compile requests                   3566
2025-12-04T10:29:28.2117965Z Compile requests executed            53
2025-12-04T10:29:28.2118478Z Cache hits                            0
2025-12-04T10:29:28.2118893Z Cache misses                         53
2025-12-04T10:29:28.2119314Z Cache misses (C/C++)                 46
2025-12-04T10:29:28.2119736Z Cache misses (HIP)                    7
2025-12-04T10:29:28.2120171Z Cache hits rate                    0.00 %
2025-12-04T10:29:28.2120630Z Cache hits rate (C/C++)            0.00 %
2025-12-04T10:29:28.2121075Z Cache hits rate (HIP)              0.00 %
2025-12-04T10:29:28.2121513Z Cache timeouts                        0
2025-12-04T10:29:28.2122386Z Cache read errors                     0
2025-12-04T10:29:28.2122821Z Forced recaches                       0
2025-12-04T10:29:28.2123254Z Cache write errors                    0
2025-12-04T10:29:28.2123685Z Cache errors                          0
2025-12-04T10:29:28.2124111Z Compilations                         53
2025-12-04T10:29:28.2124539Z Compilation failures                  0
2025-12-04T10:29:28.2124986Z Non-cacheable compilations            0
2025-12-04T10:29:28.2125429Z Non-cacheable calls                 351
2025-12-04T10:29:28.2125863Z Non-compilation calls              3162
2025-12-04T10:29:28.2126309Z Unsupported compiler calls            0
2025-12-04T10:29:28.2126761Z Average cache write               0.000 s
2025-12-04T10:29:28.2127220Z Average compiler                  7.216 s
2025-12-04T10:29:28.2127675Z Average cache read hit            0.000 s
2025-12-04T10:29:28.2128204Z Failed distributed compilations       0
2025-12-04T10:29:28.2128523Z 
2025-12-04T10:29:28.2128718Z Non-cacheable reasons:
2025-12-04T10:29:28.2129089Z -E                                  351
2025-12-04T10:29:28.2129382Z 
2025-12-04T10:29:28.2129678Z Cache location                  Local disk: "/var/lib/jenkins/.cache/sccache"
2025-12-04T10:29:28.2130311Z Use direct/preprocessor mode?   yes
2025-12-04T10:29:28.2130765Z Version (client)                0.10.0
2025-12-04T10:29:28.2131217Z Cache size                            9 MiB
2025-12-04T10:29:28.2131673Z Max cache size                       10 GiB
2025-12-04T10:29:28.2132130Z + sccache --stop-server
2025-12-04T10:29:28.2146675Z Stopping sccache server...
2025-12-04T10:29:28.2150707Z Compile requests                   3566
2025-12-04T10:29:28.2151174Z Compile requests executed            53
2025-12-04T10:29:28.2151610Z Cache hits                            0
2025-12-04T10:29:28.2152029Z Cache misses                         53
2025-12-04T10:29:28.2152453Z Cache misses (C/C++)                 46
2025-12-04T10:29:28.2152878Z Cache misses (HIP)                    7
2025-12-04T10:29:28.2153325Z Cache hits rate                    0.00 %
2025-12-04T10:29:28.2153779Z Cache hits rate (C/C++)            0.00 %
2025-12-04T10:29:28.2154235Z Cache hits rate (HIP)              0.00 %
2025-12-04T10:29:28.2154859Z Cache timeouts                        0
2025-12-04T10:29:28.2155294Z Cache read errors                     0
2025-12-04T10:29:28.2155725Z Forced recaches                       0
2025-12-04T10:29:28.2156155Z Cache write errors                    0
2025-12-04T10:29:28.2156581Z Cache errors                          0
2025-12-04T10:29:28.2157006Z Compilations                         53
2025-12-04T10:29:28.2157470Z Compilation failures                  0
2025-12-04T10:29:28.2157923Z Non-cacheable compilations            0
2025-12-04T10:29:28.2158492Z Non-cacheable calls                 351
2025-12-04T10:29:28.2158930Z Non-compilation calls              3162
2025-12-04T10:29:28.2159377Z Unsupported compiler calls            0
2025-12-04T10:29:28.2159835Z Average cache write               0.000 s
2025-12-04T10:29:28.2160287Z Average compiler                  7.216 s
2025-12-04T10:29:28.2160740Z Average cache read hit            0.000 s
2025-12-04T10:29:28.2161205Z Failed distributed compilations       0
2025-12-04T10:29:28.2161524Z 
2025-12-04T10:29:28.2161664Z Non-cacheable reasons:
2025-12-04T10:29:28.2162016Z -E                                  351
2025-12-04T10:29:28.2162303Z 
2025-12-04T10:29:28.2162588Z Cache location                  Local disk: "/var/lib/jenkins/.cache/sccache"
2025-12-04T10:29:28.2163201Z Use direct/preprocessor mode?   yes
2025-12-04T10:29:28.2163642Z Version (client)                0.10.0
2025-12-04T10:29:28.2164083Z Cache size                            9 MiB
2025-12-04T10:29:28.2164537Z Max cache size                       10 GiB
2025-12-04T10:29:28.2164982Z + echo ::endgroup::
2025-12-04T10:29:28.2165561Z ##[endgroup]
2025-12-04T10:29:28.2231801Z ##[group]Run # copy test results back to the mounted workspace, needed sudo, resulting permissions were correct
2025-12-04T10:29:28.2232366Z # copy test results back to the mounted workspace, needed sudo, resulting permissions were correct
2025-12-04T10:29:28.2232904Z docker exec -t "26dcc780293f5d2f6bd22d417471dea62d6d3d563f28bf20a2ad583c11ab13e8" sh -c "cd ../pytorch && sudo cp -R test/test-reports ../workspace/test"
2025-12-04T10:29:28.2237697Z shell: /usr/bin/bash -e {0}
2025-12-04T10:29:28.2237820Z env:
2025-12-04T10:29:28.2237917Z   GIT_DEFAULT_BRANCH: main
2025-12-04T10:29:28.2238063Z   RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts
2025-12-04T10:29:28.2238335Z   RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results
2025-12-04T10:29:28.2238527Z   RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs
2025-12-04T10:29:28.2239037Z   GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 110 --device /dev/dri/renderD136 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host
2025-12-04T10:29:28.2239517Z   AWS_DEFAULT_REGION: us-east-1
2025-12-04T10:29:28.2239642Z   AWS_REGION: us-east-1
2025-12-04T10:29:28.2239827Z   AWS_ACCESS_KEY_ID: ***
2025-12-04T10:29:28.2239999Z   AWS_SECRET_ACCESS_KEY: ***
2025-12-04T10:29:28.2243052Z   AWS_SESSION_TOKEN: ***
2025-12-04T10:29:28.2243254Z   CONTAINER_NAME: 26dcc780293f5d2f6bd22d417471dea62d6d3d563f28bf20a2ad583c11ab13e8
2025-12-04T10:29:28.2243481Z ##[endgroup]
2025-12-04T10:29:28.2855521Z ##[group]Run docker exec -t "26dcc780293f5d2f6bd22d417471dea62d6d3d563f28bf20a2ad583c11ab13e8" sh -c "sudo chown -R 1001:1001 test"
2025-12-04T10:29:28.2856069Z docker exec -t "26dcc780293f5d2f6bd22d417471dea62d6d3d563f28bf20a2ad583c11ab13e8" sh -c "sudo chown -R 1001:1001 test"
2025-12-04T10:29:28.2860901Z shell: /usr/bin/bash -e {0}
2025-12-04T10:29:28.2861025Z env:
2025-12-04T10:29:28.2861152Z   GIT_DEFAULT_BRANCH: main
2025-12-04T10:29:28.2861302Z   RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts
2025-12-04T10:29:28.2861533Z   RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results
2025-12-04T10:29:28.2861723Z   RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs
2025-12-04T10:29:28.2862219Z   GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 110 --device /dev/dri/renderD136 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host
2025-12-04T10:29:28.2862717Z   AWS_DEFAULT_REGION: us-east-1
2025-12-04T10:29:28.2862852Z   AWS_REGION: us-east-1
2025-12-04T10:29:28.2863039Z   AWS_ACCESS_KEY_ID: ***
2025-12-04T10:29:28.2863210Z   AWS_SECRET_ACCESS_KEY: ***
2025-12-04T10:29:28.2866305Z   AWS_SESSION_TOKEN: ***
2025-12-04T10:29:28.2866510Z   CONTAINER_NAME: 26dcc780293f5d2f6bd22d417471dea62d6d3d563f28bf20a2ad583c11ab13e8
2025-12-04T10:29:28.2866745Z ##[endgroup]
2025-12-04T10:29:28.3735134Z ##[group]Run cat test/**/*_toprint.log || true
2025-12-04T10:29:28.3735693Z cat test/**/*_toprint.log || true
2025-12-04T10:29:28.3746085Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T10:29:28.3746658Z env:
2025-12-04T10:29:28.3746971Z   GIT_DEFAULT_BRANCH: main
2025-12-04T10:29:28.3747454Z   RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts
2025-12-04T10:29:28.3748207Z   RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results
2025-12-04T10:29:28.3748838Z   RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs
2025-12-04T10:29:28.3750449Z   GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 110 --device /dev/dri/renderD136 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host
2025-12-04T10:29:28.3752049Z   AWS_DEFAULT_REGION: us-east-1
2025-12-04T10:29:28.3752464Z   AWS_REGION: us-east-1
2025-12-04T10:29:28.3752968Z   AWS_ACCESS_KEY_ID: ***
2025-12-04T10:29:28.3753555Z   AWS_SECRET_ACCESS_KEY: ***
2025-12-04T10:29:28.3764094Z   AWS_SESSION_TOKEN: ***
2025-12-04T10:29:28.3764760Z   CONTAINER_NAME: 26dcc780293f5d2f6bd22d417471dea62d6d3d563f28bf20a2ad583c11ab13e8
2025-12-04T10:29:28.3765740Z ##[endgroup]
2025-12-04T10:29:28.3828727Z cat: 'test/**/*_toprint.log': No such file or directory
2025-12-04T10:29:28.4039358Z Prepare all required actions
2025-12-04T10:29:28.4040242Z Getting action download info
2025-12-04T10:29:28.7903011Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a)
2025-12-04T10:29:29.8647884Z Download action repository 'actions/upload-artifact@v4' (SHA:ea165f8d65b6e75b540449e92b4886f43607fa02)
2025-12-04T10:29:31.1070684Z ##[group]Run ./.github/actions/upload-test-artifacts
2025-12-04T10:29:31.1070876Z with:
2025-12-04T10:29:31.1070979Z   use-gha: true
2025-12-04T10:29:31.1071150Z   file-suffix: test-default-2-6-linux.rocm.gpu.gfx942.1.b_57116213160
2025-12-04T10:29:31.1071359Z   s3-bucket: gha-artifacts
2025-12-04T10:29:31.1071476Z env:
2025-12-04T10:29:31.1071574Z   GIT_DEFAULT_BRANCH: main
2025-12-04T10:29:31.1071731Z   RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts
2025-12-04T10:29:31.1071965Z   RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results
2025-12-04T10:29:31.1072189Z   RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs
2025-12-04T10:29:31.1072680Z   GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 110 --device /dev/dri/renderD136 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host
2025-12-04T10:29:31.1073160Z   AWS_DEFAULT_REGION: us-east-1
2025-12-04T10:29:31.1073286Z   AWS_REGION: us-east-1
2025-12-04T10:29:31.1073469Z   AWS_ACCESS_KEY_ID: ***
2025-12-04T10:29:31.1073633Z   AWS_SECRET_ACCESS_KEY: ***
2025-12-04T10:29:31.1076715Z   AWS_SESSION_TOKEN: ***
2025-12-04T10:29:31.1076916Z   CONTAINER_NAME: 26dcc780293f5d2f6bd22d417471dea62d6d3d563f28bf20a2ad583c11ab13e8
2025-12-04T10:29:31.1077138Z ##[endgroup]
2025-12-04T10:29:31.1111267Z ##[group]Run actions/upload-artifact@v4
2025-12-04T10:29:31.1111422Z with:
2025-12-04T10:29:31.1111626Z   name: test-jsons-runattempt1-test-default-2-6-linux.rocm.gpu.gfx942.1.b_57116213160.zip
2025-12-04T10:29:31.1111890Z   retention-days: 14
2025-12-04T10:29:31.1112012Z   if-no-files-found: warn
2025-12-04T10:29:31.1112125Z   path: test/**/*.json
2025-12-04T10:29:31.1112231Z   compression-level: 6
2025-12-04T10:29:31.1112335Z   overwrite: false
2025-12-04T10:29:31.1112441Z   include-hidden-files: false
2025-12-04T10:29:31.1112559Z env:
2025-12-04T10:29:31.1112650Z   GIT_DEFAULT_BRANCH: main
2025-12-04T10:29:31.1112796Z   RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts
2025-12-04T10:29:31.1113000Z   RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results
2025-12-04T10:29:31.1113190Z   RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs
2025-12-04T10:29:31.1113679Z   GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 110 --device /dev/dri/renderD136 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host
2025-12-04T10:29:31.1114160Z   AWS_DEFAULT_REGION: us-east-1
2025-12-04T10:29:31.1114291Z   AWS_REGION: us-east-1
2025-12-04T10:29:31.1114447Z   AWS_ACCESS_KEY_ID: ***
2025-12-04T10:29:31.1114615Z   AWS_SECRET_ACCESS_KEY: ***
2025-12-04T10:29:31.1117714Z   AWS_SESSION_TOKEN: ***
2025-12-04T10:29:31.1117916Z   CONTAINER_NAME: 26dcc780293f5d2f6bd22d417471dea62d6d3d563f28bf20a2ad583c11ab13e8
2025-12-04T10:29:31.1118209Z ##[endgroup]
2025-12-04T10:29:31.5865640Z With the provided path, there will be 7 files uploaded
2025-12-04T10:29:31.5868417Z Artifact name is valid!
2025-12-04T10:29:31.5868940Z Root directory input is valid!
2025-12-04T10:29:31.8773369Z Beginning upload of artifact content to blob storage
2025-12-04T10:29:32.3202870Z Uploaded bytes 46879
2025-12-04T10:29:32.4007233Z Finished uploading artifact content to blob storage!
2025-12-04T10:29:32.4013316Z SHA256 digest of uploaded artifact zip is 53061e5a1a747b813587da10599b321bbb3a073f442debd99409e9e46a68cdd7
2025-12-04T10:29:32.4014328Z Finalizing artifact upload
2025-12-04T10:29:32.5816530Z Artifact test-jsons-runattempt1-test-default-2-6-linux.rocm.gpu.gfx942.1.b_57116213160.zip.zip successfully finalized. Artifact ID 4762642343
2025-12-04T10:29:32.5818780Z Artifact test-jsons-runattempt1-test-default-2-6-linux.rocm.gpu.gfx942.1.b_57116213160.zip has been successfully uploaded! Final size is 46879 bytes. Artifact ID is 4762642343
2025-12-04T10:29:32.5827564Z Artifact download URL: https://github.com/pytorch/pytorch/actions/runs/19922849170/artifacts/4762642343
2025-12-04T10:29:32.6034302Z ##[group]Run actions/upload-artifact@v4
2025-12-04T10:29:32.6034781Z with:
2025-12-04T10:29:32.6035485Z   name: test-reports-runattempt1-test-default-2-6-linux.rocm.gpu.gfx942.1.b_57116213160.zip
2025-12-04T10:29:32.6036328Z   retention-days: 14
2025-12-04T10:29:32.6036699Z   if-no-files-found: ignore
2025-12-04T10:29:32.6037109Z   path: test/**/*.xml
test/**/*.csv

2025-12-04T10:29:32.6037562Z   compression-level: 6
2025-12-04T10:29:32.6037917Z   overwrite: false
2025-12-04T10:29:32.6038676Z   include-hidden-files: false
2025-12-04T10:29:32.6039064Z env:
2025-12-04T10:29:32.6039364Z   GIT_DEFAULT_BRANCH: main
2025-12-04T10:29:32.6039872Z   RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts
2025-12-04T10:29:32.6040552Z   RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results
2025-12-04T10:29:32.6041188Z   RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs
2025-12-04T10:29:32.6042799Z   GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 110 --device /dev/dri/renderD136 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host
2025-12-04T10:29:32.6044373Z   AWS_DEFAULT_REGION: us-east-1
2025-12-04T10:29:32.6044786Z   AWS_REGION: us-east-1
2025-12-04T10:29:32.6045283Z   AWS_ACCESS_KEY_ID: ***
2025-12-04T10:29:32.6045842Z   AWS_SECRET_ACCESS_KEY: ***
2025-12-04T10:29:32.6056278Z   AWS_SESSION_TOKEN: ***
2025-12-04T10:29:32.6056940Z   CONTAINER_NAME: 26dcc780293f5d2f6bd22d417471dea62d6d3d563f28bf20a2ad583c11ab13e8
2025-12-04T10:29:32.6057722Z ##[endgroup]
2025-12-04T10:29:33.0932472Z With the provided path, there will be 94 files uploaded
2025-12-04T10:29:33.0935459Z Artifact name is valid!
2025-12-04T10:29:33.0935976Z Root directory input is valid!
2025-12-04T10:29:33.3817804Z Beginning upload of artifact content to blob storage
2025-12-04T10:29:33.8939071Z Uploaded bytes 61477
2025-12-04T10:29:33.9815252Z Finished uploading artifact content to blob storage!
2025-12-04T10:29:33.9820624Z SHA256 digest of uploaded artifact zip is 12229ea95fbec3b10133827a215796fdb2fc559418699d19348cc6612c10ffbb
2025-12-04T10:29:33.9822659Z Finalizing artifact upload
2025-12-04T10:29:34.1433867Z Artifact test-reports-runattempt1-test-default-2-6-linux.rocm.gpu.gfx942.1.b_57116213160.zip.zip successfully finalized. Artifact ID 4762642627
2025-12-04T10:29:34.1435998Z Artifact test-reports-runattempt1-test-default-2-6-linux.rocm.gpu.gfx942.1.b_57116213160.zip has been successfully uploaded! Final size is 61477 bytes. Artifact ID is 4762642627
2025-12-04T10:29:34.1444645Z Artifact download URL: https://github.com/pytorch/pytorch/actions/runs/19922849170/artifacts/4762642627
2025-12-04T10:29:34.1653067Z ##[group]Run actions/upload-artifact@v4
2025-12-04T10:29:34.1653570Z with:
2025-12-04T10:29:34.1654209Z   name: logs-runattempt1-test-default-2-6-linux.rocm.gpu.gfx942.1.b_57116213160.zip
2025-12-04T10:29:34.1654990Z   retention-days: 14
2025-12-04T10:29:34.1655374Z   if-no-files-found: ignore
2025-12-04T10:29:34.1655807Z   path: usage_log.txt
test/**/*.log

2025-12-04T10:29:34.1656270Z   compression-level: 6
2025-12-04T10:29:34.1656633Z   overwrite: false
2025-12-04T10:29:34.1657074Z   include-hidden-files: false
2025-12-04T10:29:34.1657472Z env:
2025-12-04T10:29:34.1657779Z   GIT_DEFAULT_BRANCH: main
2025-12-04T10:29:34.1658360Z   RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts
2025-12-04T10:29:34.1659053Z   RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results
2025-12-04T10:29:34.1659702Z   RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs
2025-12-04T10:29:34.1661726Z   GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 110 --device /dev/dri/renderD136 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host
2025-12-04T10:29:34.1663447Z   AWS_DEFAULT_REGION: us-east-1
2025-12-04T10:29:34.1663896Z   AWS_REGION: us-east-1
2025-12-04T10:29:34.1664425Z   AWS_ACCESS_KEY_ID: ***
2025-12-04T10:29:34.1665003Z   AWS_SECRET_ACCESS_KEY: ***
2025-12-04T10:29:34.1675690Z   AWS_SESSION_TOKEN: ***
2025-12-04T10:29:34.1676378Z   CONTAINER_NAME: 26dcc780293f5d2f6bd22d417471dea62d6d3d563f28bf20a2ad583c11ab13e8
2025-12-04T10:29:34.1677165Z ##[endgroup]
2025-12-04T10:29:34.6140538Z Multiple search paths detected. Calculating the least common ancestor of all paths
2025-12-04T10:29:34.6142280Z The least common ancestor is /home/runner/_work/pytorch/pytorch. This will be the root directory of the artifact
2025-12-04T10:29:34.6143314Z With the provided path, there will be 94 files uploaded
2025-12-04T10:29:34.6144152Z Artifact name is valid!
2025-12-04T10:29:34.6144572Z Root directory input is valid!
2025-12-04T10:29:34.8983043Z Beginning upload of artifact content to blob storage
2025-12-04T10:29:35.3560958Z Uploaded bytes 81416
2025-12-04T10:29:35.4328564Z Finished uploading artifact content to blob storage!
2025-12-04T10:29:35.4333222Z SHA256 digest of uploaded artifact zip is 5a800aca2647277164a363368880da2ce584053336f2d0b090a5f33ffd1fb0f3
2025-12-04T10:29:35.4335301Z Finalizing artifact upload
2025-12-04T10:29:35.6106351Z Artifact logs-runattempt1-test-default-2-6-linux.rocm.gpu.gfx942.1.b_57116213160.zip.zip successfully finalized. Artifact ID 4762642930
2025-12-04T10:29:35.6107028Z Artifact logs-runattempt1-test-default-2-6-linux.rocm.gpu.gfx942.1.b_57116213160.zip has been successfully uploaded! Final size is 81416 bytes. Artifact ID is 4762642930
2025-12-04T10:29:35.6110294Z Artifact download URL: https://github.com/pytorch/pytorch/actions/runs/19922849170/artifacts/4762642930
2025-12-04T10:29:35.6282312Z ##[group]Run # shellcheck disable=SC2156
2025-12-04T10:29:35.6282517Z # shellcheck disable=SC2156
2025-12-04T10:29:35.6282792Z find . -iname "core.[1-9]*" -exec docker exec "${CONTAINER_NAME}" sh -c "gdb python {} -ex 'bt' -ex 'q'" \;
2025-12-04T10:29:35.6290005Z shell: /usr/bin/bash -e {0}
2025-12-04T10:29:35.6290417Z env:
2025-12-04T10:29:35.6290738Z   GIT_DEFAULT_BRANCH: main
2025-12-04T10:29:35.6291256Z   RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts
2025-12-04T10:29:35.6291978Z   RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results
2025-12-04T10:29:35.6292691Z   RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs
2025-12-04T10:29:35.6294387Z   GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 110 --device /dev/dri/renderD136 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host
2025-12-04T10:29:35.6295988Z   AWS_DEFAULT_REGION: us-east-1
2025-12-04T10:29:35.6296482Z   AWS_REGION: us-east-1
2025-12-04T10:29:35.6297035Z   AWS_ACCESS_KEY_ID: ***
2025-12-04T10:29:35.6297659Z   AWS_SECRET_ACCESS_KEY: ***
2025-12-04T10:29:35.6308206Z   AWS_SESSION_TOKEN: ***
2025-12-04T10:29:35.6308923Z   CONTAINER_NAME: 26dcc780293f5d2f6bd22d417471dea62d6d3d563f28bf20a2ad583c11ab13e8
2025-12-04T10:29:35.6309726Z ##[endgroup]
2025-12-04T10:29:35.7730406Z ##[group]Run aws-actions/configure-aws-credentials@ececac1a45f3b08a01d2dd070d28d111c5fe6722
2025-12-04T10:29:35.7731291Z with:
2025-12-04T10:29:35.7731935Z   role-to-assume: arn:aws:iam::308535385114:role/gha_workflow_upload-benchmark-results
2025-12-04T10:29:35.7732694Z   role-duration-seconds: 18000
2025-12-04T10:29:35.7733137Z   aws-region: us-east-1
2025-12-04T10:29:35.7733571Z   audience: sts.amazonaws.com
2025-12-04T10:29:35.7733999Z env:
2025-12-04T10:29:35.7734337Z   GIT_DEFAULT_BRANCH: main
2025-12-04T10:29:35.7734896Z   RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts
2025-12-04T10:29:35.7735858Z   RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results
2025-12-04T10:29:35.7736522Z   RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs
2025-12-04T10:29:35.7738270Z   GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 110 --device /dev/dri/renderD136 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host
2025-12-04T10:29:35.7739870Z   AWS_DEFAULT_REGION: us-east-1
2025-12-04T10:29:35.7740335Z   AWS_REGION: us-east-1
2025-12-04T10:29:35.7740882Z   AWS_ACCESS_KEY_ID: ***
2025-12-04T10:29:35.7741478Z   AWS_SECRET_ACCESS_KEY: ***
2025-12-04T10:29:35.7751887Z   AWS_SESSION_TOKEN: ***
2025-12-04T10:29:35.7752592Z   CONTAINER_NAME: 26dcc780293f5d2f6bd22d417471dea62d6d3d563f28bf20a2ad583c11ab13e8
2025-12-04T10:29:35.7753392Z ##[endgroup]
2025-12-04T10:29:36.0944298Z Assuming role with OIDC
2025-12-04T10:29:36.4640223Z Authenticated as assumedRoleId AROAUPVRELQNA5GQHA6IA:GitHubActions
2025-12-04T10:29:36.5804649Z ##[group]Run pytorch/test-infra/.github/actions/upload-benchmark-results@main
2025-12-04T10:29:36.5805413Z with:
2025-12-04T10:29:36.5805824Z   benchmark-results-dir: test/test-reports
2025-12-04T10:29:36.5806326Z   dry-run: false
2025-12-04T10:29:36.5806691Z   schema-version: v3
2025-12-04T10:29:36.5807401Z   github-token: ***
2025-12-04T10:29:36.5807766Z env:
2025-12-04T10:29:36.5808196Z   GIT_DEFAULT_BRANCH: main
2025-12-04T10:29:36.5808740Z   RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts
2025-12-04T10:29:36.5809480Z   RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results
2025-12-04T10:29:36.5810157Z   RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs
2025-12-04T10:29:36.5811834Z   GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 110 --device /dev/dri/renderD136 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host
2025-12-04T10:29:36.5813501Z   AWS_DEFAULT_REGION: us-east-1
2025-12-04T10:29:36.5814022Z   AWS_REGION: us-east-1
2025-12-04T10:29:36.5814501Z   AWS_ACCESS_KEY_ID: ***
2025-12-04T10:29:36.5815097Z   AWS_SECRET_ACCESS_KEY: ***
2025-12-04T10:29:36.5825690Z   AWS_SESSION_TOKEN: ***
2025-12-04T10:29:36.5826391Z   CONTAINER_NAME: 26dcc780293f5d2f6bd22d417471dea62d6d3d563f28bf20a2ad583c11ab13e8
2025-12-04T10:29:36.5827159Z ##[endgroup]
2025-12-04T10:29:36.5852687Z ##[group]Run set -eux
2025-12-04T10:29:36.5853141Z set -eux
2025-12-04T10:29:36.5853501Z 
2025-12-04T10:29:36.5853854Z if [[ -n "" ]]; then
2025-12-04T10:29:36.5854306Z   source ""
2025-12-04T10:29:36.5854690Z fi
2025-12-04T10:29:36.5855258Z python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0
2025-12-04T10:29:36.5855940Z 
2025-12-04T10:29:36.5856276Z DEVICE_NAME=""
2025-12-04T10:29:36.5856712Z DEVICE_TYPE=""
2025-12-04T10:29:36.5857104Z 
2025-12-04T10:29:36.5857486Z if command -v nvidia-smi; then
2025-12-04T10:29:36.5858313Z   # NB: I'm using PyTorch here to get the device name, however, it needs to
2025-12-04T10:29:36.5859238Z   # install the correct version of PyTorch manually for now. Any PyTorch
2025-12-04T10:29:36.5860089Z   # version is fine, I just use 2.7.1 to satify PYPIDEP linter
2025-12-04T10:29:36.5860767Z   python3 -mpip install torch==2.7.1
2025-12-04T10:29:36.5861323Z elif command -v rocminfo; then
2025-12-04T10:29:36.5862070Z   # NB: Installing torch on ROCm runner with pip here causes CI to fail
2025-12-04T10:29:36.5863004Z   # with a memoryview is too large error only on MI300 runners. Is pip
2025-12-04T10:29:36.5863885Z   # version on ROCm runner there too old? As a workaround, let's use the
2025-12-04T10:29:36.5864677Z   # GPU device name coming from rocminfo instead
2025-12-04T10:29:36.5865290Z   DEVICE_NAME=rocm
2025-12-04T10:29:36.5866113Z   DEVICE_TYPE=$(rocminfo | grep "Marketing Name" | tail -n1 | awk -F':' '{print $2}' | xargs)
2025-12-04T10:29:36.5867115Z fi
2025-12-04T10:29:36.5867458Z 
2025-12-04T10:29:36.5867914Z echo "DEVICE_NAME=$DEVICE_NAME" >> $GITHUB_ENV
2025-12-04T10:29:36.5868652Z echo "DEVICE_TYPE=$DEVICE_TYPE" >> $GITHUB_ENV
2025-12-04T10:29:36.5879085Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T10:29:36.5879679Z env:
2025-12-04T10:29:36.5880029Z   GIT_DEFAULT_BRANCH: main
2025-12-04T10:29:36.5880565Z   RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts
2025-12-04T10:29:36.5881299Z   RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results
2025-12-04T10:29:36.5881981Z   RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs
2025-12-04T10:29:36.5883794Z   GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 110 --device /dev/dri/renderD136 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host
2025-12-04T10:29:36.5885453Z   AWS_DEFAULT_REGION: us-east-1
2025-12-04T10:29:36.5885912Z   AWS_REGION: us-east-1
2025-12-04T10:29:36.5886406Z   AWS_ACCESS_KEY_ID: ***
2025-12-04T10:29:36.5887019Z   AWS_SECRET_ACCESS_KEY: ***
2025-12-04T10:29:36.5898210Z   AWS_SESSION_TOKEN: ***
2025-12-04T10:29:36.5898922Z   CONTAINER_NAME: 26dcc780293f5d2f6bd22d417471dea62d6d3d563f28bf20a2ad583c11ab13e8
2025-12-04T10:29:36.5899702Z ##[endgroup]
2025-12-04T10:29:36.5936484Z + [[ -n '' ]]
2025-12-04T10:29:36.5937061Z + python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0
2025-12-04T10:29:36.7349810Z Defaulting to user installation because normal site-packages is not writeable
2025-12-04T10:29:37.0900896Z Collecting boto3==1.35.33
2025-12-04T10:29:37.1289410Z   Downloading boto3-1.35.33-py3-none-any.whl (139 kB)
2025-12-04T10:29:37.1440891Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 139.1/139.1 KB 9.8 MB/s eta 0:00:00
2025-12-04T10:29:37.2192344Z Collecting psutil==7.0.0
2025-12-04T10:29:37.2245855Z   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)
2025-12-04T10:29:37.2349352Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 278.0/278.0 KB 30.2 MB/s eta 0:00:00
2025-12-04T10:29:37.2469608Z Collecting pynvml==12.0.0
2025-12-04T10:29:37.2524765Z   Downloading pynvml-12.0.0-py3-none-any.whl (26 kB)
2025-12-04T10:29:37.6026872Z Collecting botocore<1.36.0,>=1.35.33
2025-12-04T10:29:37.6100954Z   Downloading botocore-1.35.99-py3-none-any.whl (13.3 MB)
2025-12-04T10:29:37.7937465Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 13.3/13.3 MB 90.4 MB/s eta 0:00:00
2025-12-04T10:29:37.8283335Z Collecting jmespath<2.0.0,>=0.7.1
2025-12-04T10:29:37.8337878Z   Downloading jmespath-1.0.1-py3-none-any.whl (20 kB)
2025-12-04T10:29:37.8516799Z Collecting s3transfer<0.11.0,>=0.10.0
2025-12-04T10:29:37.8569204Z   Downloading s3transfer-0.10.4-py3-none-any.whl (83 kB)
2025-12-04T10:29:37.8589395Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 83.2/83.2 KB 111.6 MB/s eta 0:00:00
2025-12-04T10:29:37.8804007Z Collecting nvidia-ml-py<13.0.0a0,>=12.0.0
2025-12-04T10:29:37.8856839Z   Downloading nvidia_ml_py-12.575.51-py3-none-any.whl (47 kB)
2025-12-04T10:29:37.8871937Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 47.5/47.5 KB 63.4 MB/s eta 0:00:00
2025-12-04T10:29:37.8903972Z Requirement already satisfied: urllib3!=2.2.0,<3,>=1.25.4 in /home/runner/.local/lib/python3.10/site-packages (from botocore<1.36.0,>=1.35.33->boto3==1.35.33) (1.26.20)
2025-12-04T10:29:37.9043263Z Collecting python-dateutil<3.0.0,>=2.1
2025-12-04T10:29:37.9096600Z   Downloading python_dateutil-2.9.0.post0-py2.py3-none-any.whl (229 kB)
2025-12-04T10:29:37.9115336Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 229.9/229.9 KB 276.2 MB/s eta 0:00:00
2025-12-04T10:29:38.0017655Z Requirement already satisfied: six>=1.5 in /usr/lib/python3/dist-packages (from python-dateutil<3.0.0,>=2.1->botocore<1.36.0,>=1.35.33->boto3==1.35.33) (1.16.0)
2025-12-04T10:29:38.0753603Z Installing collected packages: nvidia-ml-py, python-dateutil, pynvml, psutil, jmespath, botocore, s3transfer, boto3
2025-12-04T10:29:38.4113737Z Successfully installed boto3-1.35.33 botocore-1.35.99 jmespath-1.0.1 nvidia-ml-py-12.575.51 psutil-7.0.0 pynvml-12.0.0 python-dateutil-2.9.0.post0 s3transfer-0.10.4
2025-12-04T10:29:38.5012006Z + DEVICE_NAME=
2025-12-04T10:29:38.5012409Z + DEVICE_TYPE=
2025-12-04T10:29:38.5012824Z + command -v nvidia-smi
2025-12-04T10:29:38.5013283Z + command -v rocminfo
2025-12-04T10:29:38.5014057Z /usr/bin/rocminfo
2025-12-04T10:29:38.5014423Z + DEVICE_NAME=rocm
2025-12-04T10:29:38.5023732Z ++ rocminfo
2025-12-04T10:29:38.5025653Z ++ grep 'Marketing Name'
2025-12-04T10:29:38.5026554Z ++ tail -n1
2025-12-04T10:29:38.5028164Z ++ awk -F: '{print $2}'
2025-12-04T10:29:38.5028609Z ++ xargs
2025-12-04T10:29:38.5660685Z + DEVICE_TYPE='AMD Instinct MI325X'
2025-12-04T10:29:38.5661266Z + echo DEVICE_NAME=rocm
2025-12-04T10:29:38.5662037Z + echo 'DEVICE_TYPE=AMD Instinct MI325X'
2025-12-04T10:29:38.5696776Z ##[group]Run set -eux
2025-12-04T10:29:38.5697243Z set -eux
2025-12-04T10:29:38.5697605Z 
2025-12-04T10:29:38.5697989Z if [[ -z "${GITHUB_TOKEN}" ]]; then
2025-12-04T10:29:38.5698916Z   echo "Missing github-token input"
2025-12-04T10:29:38.5699413Z   exit 1
2025-12-04T10:29:38.5699764Z fi
2025-12-04T10:29:38.5709909Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T10:29:38.5710513Z env:
2025-12-04T10:29:38.5710863Z   GIT_DEFAULT_BRANCH: main
2025-12-04T10:29:38.5711399Z   RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts
2025-12-04T10:29:38.5712181Z   RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results
2025-12-04T10:29:38.5712869Z   RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs
2025-12-04T10:29:38.5714596Z   GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 110 --device /dev/dri/renderD136 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host
2025-12-04T10:29:38.5716375Z   AWS_DEFAULT_REGION: us-east-1
2025-12-04T10:29:38.5716872Z   AWS_REGION: us-east-1
2025-12-04T10:29:38.5717458Z   AWS_ACCESS_KEY_ID: ***
2025-12-04T10:29:38.5718228Z   AWS_SECRET_ACCESS_KEY: ***
2025-12-04T10:29:38.5729013Z   AWS_SESSION_TOKEN: ***
2025-12-04T10:29:38.5729776Z   CONTAINER_NAME: 26dcc780293f5d2f6bd22d417471dea62d6d3d563f28bf20a2ad583c11ab13e8
2025-12-04T10:29:38.5730604Z   DEVICE_NAME: rocm
2025-12-04T10:29:38.5731035Z   DEVICE_TYPE: AMD Instinct MI325X
2025-12-04T10:29:38.5731850Z   GITHUB_TOKEN: ***
2025-12-04T10:29:38.5732255Z ##[endgroup]
2025-12-04T10:29:38.5768719Z + [[ -z *** ]]
2025-12-04T10:29:38.5841126Z ##[group]Run pytorch/test-infra/.github/actions/get-workflow-job-id@main
2025-12-04T10:29:38.5841836Z with:
2025-12-04T10:29:38.5842393Z   github-token: ***
2025-12-04T10:29:38.5842757Z env:
2025-12-04T10:29:38.5843105Z   GIT_DEFAULT_BRANCH: main
2025-12-04T10:29:38.5843669Z   RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts
2025-12-04T10:29:38.5844428Z   RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results
2025-12-04T10:29:38.5845121Z   RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs
2025-12-04T10:29:38.5846812Z   GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 110 --device /dev/dri/renderD136 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host
2025-12-04T10:29:38.5848646Z   AWS_DEFAULT_REGION: us-east-1
2025-12-04T10:29:38.5849113Z   AWS_REGION: us-east-1
2025-12-04T10:29:38.5849583Z   AWS_ACCESS_KEY_ID: ***
2025-12-04T10:29:38.5850189Z   AWS_SECRET_ACCESS_KEY: ***
2025-12-04T10:29:38.5860950Z   AWS_SESSION_TOKEN: ***
2025-12-04T10:29:38.5861668Z   CONTAINER_NAME: 26dcc780293f5d2f6bd22d417471dea62d6d3d563f28bf20a2ad583c11ab13e8
2025-12-04T10:29:38.5862498Z   DEVICE_NAME: rocm
2025-12-04T10:29:38.5862931Z   DEVICE_TYPE: AMD Instinct MI325X
2025-12-04T10:29:38.5863398Z ##[endgroup]
2025-12-04T10:29:38.5882977Z ##[group]Run set -eux
2025-12-04T10:29:38.5883615Z set -eux
2025-12-04T10:29:38.5883991Z 
2025-12-04T10:29:38.5884752Z python3 "${GITHUB_ACTION_PATH}/../../scripts/get_workflow_job_id.py" "${GITHUB_RUN_ID}" "${RUNNER_NAME}"
2025-12-04T10:29:38.5895304Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T10:29:38.5895904Z env:
2025-12-04T10:29:38.5896252Z   GIT_DEFAULT_BRANCH: main
2025-12-04T10:29:38.5896802Z   RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts
2025-12-04T10:29:38.5897547Z   RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results
2025-12-04T10:29:38.5898343Z   RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs
2025-12-04T10:29:38.5900043Z   GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 110 --device /dev/dri/renderD136 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host
2025-12-04T10:29:38.5901631Z   AWS_DEFAULT_REGION: us-east-1
2025-12-04T10:29:38.5902264Z   AWS_REGION: us-east-1
2025-12-04T10:29:38.5902794Z   AWS_ACCESS_KEY_ID: ***
2025-12-04T10:29:38.5903446Z   AWS_SECRET_ACCESS_KEY: ***
2025-12-04T10:29:38.5914142Z   AWS_SESSION_TOKEN: ***
2025-12-04T10:29:38.5914860Z   CONTAINER_NAME: 26dcc780293f5d2f6bd22d417471dea62d6d3d563f28bf20a2ad583c11ab13e8
2025-12-04T10:29:38.5915636Z   DEVICE_NAME: rocm
2025-12-04T10:29:38.5916057Z   DEVICE_TYPE: AMD Instinct MI325X
2025-12-04T10:29:38.5916853Z   GITHUB_TOKEN: ***
2025-12-04T10:29:38.5917238Z ##[endgroup]
2025-12-04T10:29:38.5947839Z + python3 /home/runner/_work/_actions/pytorch/test-infra/main/.github/actions/get-workflow-job-id/../../scripts/get_workflow_job_id.py 19922849170 linux.rocm.gpu.gfx942.1.b-gwk9b-runner-qzcsp
2025-12-04T10:29:39.8584348Z setting job-id=57116213160
2025-12-04T10:29:39.8585453Z setting job-name=linux-jammy-rocm-py3.10 / test (default, 2, 6, linux.rocm.gpu.gfx942.1.b, rerun_disabled_tests, unstable)
2025-12-04T10:29:39.8757348Z ##[group]Run set -eux
2025-12-04T10:29:39.8757822Z set -eux
2025-12-04T10:29:39.8758645Z 
2025-12-04T10:29:39.8758999Z if [[ -n "" ]]; then
2025-12-04T10:29:39.8784823Z   source ""
2025-12-04T10:29:39.8785290Z fi
2025-12-04T10:29:39.8785646Z 
2025-12-04T10:29:39.8786310Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_metadata.py" \
2025-12-04T10:29:39.8787190Z   --schema-version "${SCHEMA_VERSION}" \
2025-12-04T10:29:39.8787774Z   --repo "${REPO}" \
2025-12-04T10:29:39.8788362Z   --head-branch "${HEAD_BRANCH}" \
2025-12-04T10:29:39.8788910Z   --head-sha "${HEAD_SHA}" \
2025-12-04T10:29:39.8789484Z   --workflow-id "${WORKFLOW_RUN_ID}" \
2025-12-04T10:29:39.8790073Z   --run-attempt "${RUN_ATTEMPT}" \
2025-12-04T10:29:39.8790616Z   --job-id "${JOB_ID}" \
2025-12-04T10:29:39.8791126Z   --job-name "${JOB_NAME}"
2025-12-04T10:29:39.8801640Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T10:29:39.8802246Z env:
2025-12-04T10:29:39.8802603Z   GIT_DEFAULT_BRANCH: main
2025-12-04T10:29:39.8803168Z   RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts
2025-12-04T10:29:39.8803902Z   RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results
2025-12-04T10:29:39.8804632Z   RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs
2025-12-04T10:29:39.8806330Z   GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 110 --device /dev/dri/renderD136 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host
2025-12-04T10:29:39.8808128Z   AWS_DEFAULT_REGION: us-east-1
2025-12-04T10:29:39.8808612Z   AWS_REGION: us-east-1
2025-12-04T10:29:39.8809184Z   AWS_ACCESS_KEY_ID: ***
2025-12-04T10:29:39.8809836Z   AWS_SECRET_ACCESS_KEY: ***
2025-12-04T10:29:39.8820630Z   AWS_SESSION_TOKEN: ***
2025-12-04T10:29:39.8821399Z   CONTAINER_NAME: 26dcc780293f5d2f6bd22d417471dea62d6d3d563f28bf20a2ad583c11ab13e8
2025-12-04T10:29:39.8822467Z   DEVICE_NAME: rocm
2025-12-04T10:29:39.8822901Z   DEVICE_TYPE: AMD Instinct MI325X
2025-12-04T10:29:39.8823396Z   SCHEMA_VERSION: v3
2025-12-04T10:29:39.8823817Z   REPO: pytorch/pytorch
2025-12-04T10:29:39.8824259Z   HEAD_BRANCH: refs/heads/main
2025-12-04T10:29:39.8824815Z   HEAD_SHA: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32
2025-12-04T10:29:39.8825405Z   WORKFLOW_RUN_ID: 19922849170
2025-12-04T10:29:39.8825853Z   RUN_ATTEMPT: 1
2025-12-04T10:29:39.8826234Z   JOB_ID: 57116213160
2025-12-04T10:29:39.8827121Z   JOB_NAME: linux-jammy-rocm-py3.10 / test (default, 2, 6, linux.rocm.gpu.gfx942.1.b, rerun_disabled_tests, unstable)
2025-12-04T10:29:39.8828109Z ##[endgroup]
2025-12-04T10:29:39.8867003Z + [[ -n '' ]]
2025-12-04T10:29:39.8870512Z + python3 /home/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 19922849170 --run-attempt 1 --job-id 57116213160 --job-name 'linux-jammy-rocm-py3.10 / test (default, 2, 6, linux.rocm.gpu.gfx942.1.b, rerun_disabled_tests, unstable)'
2025-12-04T10:29:39.9054965Z ##[group]Run set -eux
2025-12-04T10:29:39.9055427Z set -eux
2025-12-04T10:29:39.9055788Z 
2025-12-04T10:29:39.9056132Z if [[ -n "" ]]; then
2025-12-04T10:29:39.9056576Z   source ""
2025-12-04T10:29:39.9056955Z fi
2025-12-04T10:29:39.9057288Z 
2025-12-04T10:29:39.9057901Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_runners_info.py"
2025-12-04T10:29:39.9069281Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T10:29:39.9069874Z env:
2025-12-04T10:29:39.9070228Z   GIT_DEFAULT_BRANCH: main
2025-12-04T10:29:39.9070758Z   RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts
2025-12-04T10:29:39.9071570Z   RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results
2025-12-04T10:29:39.9072274Z   RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs
2025-12-04T10:29:39.9073936Z   GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 110 --device /dev/dri/renderD136 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host
2025-12-04T10:29:39.9075562Z   AWS_DEFAULT_REGION: us-east-1
2025-12-04T10:29:39.9076019Z   AWS_REGION: us-east-1
2025-12-04T10:29:39.9076574Z   AWS_ACCESS_KEY_ID: ***
2025-12-04T10:29:39.9077181Z   AWS_SECRET_ACCESS_KEY: ***
2025-12-04T10:29:39.9087846Z   AWS_SESSION_TOKEN: ***
2025-12-04T10:29:39.9088641Z   CONTAINER_NAME: 26dcc780293f5d2f6bd22d417471dea62d6d3d563f28bf20a2ad583c11ab13e8
2025-12-04T10:29:39.9089460Z   DEVICE_NAME: rocm
2025-12-04T10:29:39.9089882Z   DEVICE_TYPE: AMD Instinct MI325X
2025-12-04T10:29:39.9090377Z ##[endgroup]
2025-12-04T10:29:39.9119570Z + [[ -n '' ]]
2025-12-04T10:29:39.9120973Z + python3 /home/runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_runners_info.py
2025-12-04T10:29:39.9332996Z INFO:root:Fail to import torch to get the device name
2025-12-04T10:29:39.9437731Z ##[group]Run set -eux
2025-12-04T10:29:39.9438250Z set -eux
2025-12-04T10:29:39.9438604Z 
2025-12-04T10:29:39.9438992Z # TODO (huydhn): Implement this part
2025-12-04T10:29:39.9439595Z echo "dependencies={}" >> "${GITHUB_OUTPUT}"
2025-12-04T10:29:39.9449658Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T10:29:39.9450239Z env:
2025-12-04T10:29:39.9450587Z   GIT_DEFAULT_BRANCH: main
2025-12-04T10:29:39.9451122Z   RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts
2025-12-04T10:29:39.9451850Z   RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results
2025-12-04T10:29:39.9452531Z   RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs
2025-12-04T10:29:39.9454213Z   GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 110 --device /dev/dri/renderD136 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host
2025-12-04T10:29:39.9456161Z   AWS_DEFAULT_REGION: us-east-1
2025-12-04T10:29:39.9456639Z   AWS_REGION: us-east-1
2025-12-04T10:29:39.9457188Z   AWS_ACCESS_KEY_ID: ***
2025-12-04T10:29:39.9457794Z   AWS_SECRET_ACCESS_KEY: ***
2025-12-04T10:29:39.9468498Z   AWS_SESSION_TOKEN: ***
2025-12-04T10:29:39.9469203Z   CONTAINER_NAME: 26dcc780293f5d2f6bd22d417471dea62d6d3d563f28bf20a2ad583c11ab13e8
2025-12-04T10:29:39.9470020Z   DEVICE_NAME: rocm
2025-12-04T10:29:39.9470419Z   DEVICE_TYPE: AMD Instinct MI325X
2025-12-04T10:29:39.9470883Z ##[endgroup]
2025-12-04T10:29:39.9507148Z + echo 'dependencies={}'
2025-12-04T10:29:39.9540253Z ##[group]Run set -eux
2025-12-04T10:29:39.9540728Z set -eux
2025-12-04T10:29:39.9541083Z 
2025-12-04T10:29:39.9541429Z if [[ -n "" ]]; then
2025-12-04T10:29:39.9541864Z   source ""
2025-12-04T10:29:39.9542448Z fi
2025-12-04T10:29:39.9542789Z 
2025-12-04T10:29:39.9543204Z if [[ ! -d "${BENCHMARK_RESULTS_DIR}" ]]; then
2025-12-04T10:29:39.9543896Z   echo "${BENCHMARK_RESULTS_DIR} does not exist, skipping"
2025-12-04T10:29:39.9544639Z   # We don't want the job to fail if the directory doesn't exist
2025-12-04T10:29:39.9545242Z   exit 0
2025-12-04T10:29:39.9545609Z fi
2025-12-04T10:29:39.9545941Z 
2025-12-04T10:29:39.9546328Z if [[ "${DRY_RUN}" == "true" ]]; then
2025-12-04T10:29:39.9547137Z   python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \
2025-12-04T10:29:39.9548009Z     --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \
2025-12-04T10:29:39.9548742Z     --metadata "${BENCHMARK_METADATA}" \
2025-12-04T10:29:39.9549301Z     --runners "${RUNNER_INFO}" \
2025-12-04T10:29:39.9549845Z     --dependencies "${DEPENDENCIES}" \
2025-12-04T10:29:39.9550401Z     --dry-run
2025-12-04T10:29:39.9550806Z else
2025-12-04T10:29:39.9551444Z   python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \
2025-12-04T10:29:39.9552306Z     --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \
2025-12-04T10:29:39.9552957Z     --metadata "${BENCHMARK_METADATA}" \
2025-12-04T10:29:39.9553504Z     --runners "${RUNNER_INFO}" \
2025-12-04T10:29:39.9554041Z     --dependencies "${DEPENDENCIES}"
2025-12-04T10:29:39.9554558Z fi
2025-12-04T10:29:39.9564147Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T10:29:39.9564741Z env:
2025-12-04T10:29:39.9565131Z   GIT_DEFAULT_BRANCH: main
2025-12-04T10:29:39.9565671Z   RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts
2025-12-04T10:29:39.9566408Z   RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results
2025-12-04T10:29:39.9567100Z   RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs
2025-12-04T10:29:39.9568854Z   GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 110 --device /dev/dri/renderD136 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host
2025-12-04T10:29:39.9570617Z   AWS_DEFAULT_REGION: us-east-1
2025-12-04T10:29:39.9571106Z   AWS_REGION: us-east-1
2025-12-04T10:29:39.9571669Z   AWS_ACCESS_KEY_ID: ***
2025-12-04T10:29:39.9572284Z   AWS_SECRET_ACCESS_KEY: ***
2025-12-04T10:29:39.9582954Z   AWS_SESSION_TOKEN: ***
2025-12-04T10:29:39.9583670Z   CONTAINER_NAME: 26dcc780293f5d2f6bd22d417471dea62d6d3d563f28bf20a2ad583c11ab13e8
2025-12-04T10:29:39.9584454Z   DEVICE_NAME: rocm
2025-12-04T10:29:39.9584862Z   DEVICE_TYPE: AMD Instinct MI325X
2025-12-04T10:29:39.9585383Z   BENCHMARK_RESULTS_DIR: test/test-reports
2025-12-04T10:29:39.9585885Z   DRY_RUN: false
2025-12-04T10:29:39.9588291Z   BENCHMARK_METADATA: {"timestamp": 1764844179, "schema_version": "v3", "name": "linux-jammy-rocm-py3.10 / test (default, 2, 6, linux.rocm.gpu.gfx942.1.b, rerun_disabled_tests, unstable)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32", "workflow_id": 19922849170, "run_attempt": 1, "job_id": 57116213160}
2025-12-04T10:29:39.9591710Z   RUNNER_INFO: [{"cpu_info": "x86_64", "cpu_count": 128, "avail_mem_in_gb": 3023, "extra_info": {"hostname": "linux.rocm.gpu.gfx942.1.b-gwk9b-runner-qzcsp"}, "name": "rocm", "type": "AMD Instinct MI325X"}]
2025-12-04T10:29:39.9593013Z   DEPENDENCIES: {}
2025-12-04T10:29:39.9593390Z ##[endgroup]
2025-12-04T10:29:39.9620108Z + [[ -n '' ]]
2025-12-04T10:29:39.9620606Z + [[ ! -d test/test-reports ]]
2025-12-04T10:29:39.9621117Z + [[ false == \t\r\u\e ]]
2025-12-04T10:29:39.9627005Z + python3 /home/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": 1764844179, "schema_version": "v3", "name": "linux-jammy-rocm-py3.10 / test (default, 2, 6, linux.rocm.gpu.gfx942.1.b, rerun_disabled_tests, unstable)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32", "workflow_id": 19922849170, "run_attempt": 1, "job_id": 57116213160}' --runners '[{"cpu_info": "x86_64", "cpu_count": 128, "avail_mem_in_gb": 3023, "extra_info": {"hostname": "linux.rocm.gpu.gfx942.1.b-gwk9b-runner-qzcsp"}, "name": "rocm", "type": "AMD Instinct MI325X"}]' --dependencies '{}'
2025-12-04T10:29:40.0371336Z /home/runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/upload_benchmark_results.py:236: UserWarning: {'included': [{'test_file': 'inductor/test_collective_autotuning'}, {'test_file': 'test_public_bindings'}, {'test_file': 'inductor/test_aot_inductor'}, {'test_file': 'inductor/test_torchinductor'}, {'test_file': 'inductor/test_select_algorithm'}, {'test_file': 'inductor/test_torchinductor_dynamic_shapes'}, {'test_file': 'inductor/test_torchinductor_codegen_dynamic_shapes'}, {'test_file': 'inductor/test_kernel_benchmark'}, {'test_file': 'inductor/test_torchinductor_opinfo'}, {'test_file': 'inductor/test_pattern_matcher'}, {'test_file': 'inductor/test_group_batch_fusion'}, {'test_file': 'dynamo/test_dynamic_shapes'}, {'test_file': 'inductor/test_cpu_repro'}, {'test_file': 'inductor/test_cuda_repro'}, {'test_file': 'inductor/test_smoke'}, {'test_file': 'dynamo/test_after_aot'}, {'test_file': 'inductor/test_snode_runtime'}, {'test_file': 'inductor/test_minifier'}, {'test_file': 'inductor/test_compiled_autograd'}, {'test_file': 'inductor/test_custom_lowering'}, {'test_file': 'inductor/test_cudagraph_trees'}, {'test_file': 'inductor/test_perf'}, {'test_file': 'inductor/test_fused_attention'}, {'test_file': 'dynamo/test_activation_checkpointing'}, {'test_file': 'inductor/test_binary_folding'}, {'test_file': 'inductor/test_mkldnn_pattern_matcher'}, {'test_file': 'dynamo/test_logging'}, {'test_file': 'inductor/test_inductor_freezing'}, {'test_file': 'inductor/test_layout_optim'}, {'test_file': 'dynamo/test_unspec'}, {'test_file': 'dynamo/test_repros'}, {'test_file': 'dynamo/test_higher_order_ops'}, {'test_file': 'inductor/test_mmdecomp'}, {'test_file': 'dynamo/test_ctx_manager'}, {'test_file': 'dynamo/test_exc'}, {'test_file': 'dynamo/test_misc'}, {'test_file': 'inductor/test_cpu_select_algorithm'}, {'test_file': 'inductor/test_flex_attention'}, {'test_file': 'inductor/test_cuda_select_algorithm'}, {'test_file': 'inductor/test_aot_inductor_arrayref'}, {'test_file': 'inductor/test_cpu_cpp_wrapper'}, {'test_file': 'inductor/test_cutlass_backend'}, {'test_file': 'inductor/test_triton_cpu_backend'}, {'test_file': 'inductor/test_torchinductor_strided_blocks'}, {'test_file': 'test_custom_ops'}, {'test_file': 'test_content_store'}, {'test_file': 'inductor/test_halide'}, {'test_file': 'inductor/test_compile_subprocess'}, {'test_file': 'inductor/test_flex_decoding'}, {'test_file': 'inductor/test_deterministic'}, {'test_file': 'inductor/test_multi_kernel'}, {'test_file': 'inductor/test_analysis'}, {'test_file': 'inductor/test_pad_mm'}, {'test_file': 'inductor/test_triton_syntax'}, {'test_file': 'inductor/test_triton_extension_backend'}, {'test_file': 'test_sparse_semi_structured'}, {'test_file': 'inductor/test_op_completeness'}, {'test_file': 'inductor/test_subgraph_choice'}, {'test_file': 'inductor/test_b2b_gemm'}, {'test_file': 'inductor/test_triton_heuristics'}, {'test_file': 'inductor/test_cutedsl_grouped_mm'}, {'test_file': 'inductor/test_cpp_wrapper_hipify'}, {'test_file': 'export/test_retraceability'}, {'test_file': 'inductor/test_ck_backend'}, {'test_file': 'inductor/test_inductor_utils'}, {'test_file': 'inductor/test_template_heuristics_registry'}, {'test_file': 'inductor/test_async_compile'}, {'test_file': 'inductor/test_gpu_cpp_wrapper'}, {'test_file': 'export/test_export_training_ir_to_run_decomp'}, {'test_file': 'dynamo/test_deque_reconstruct'}, {'test_file': 'inductor/test_utils'}, {'test_file': 'inductor/test_indexing'}, {'test_file': 'inductor/test_inductor_annotations'}, {'test_file': 'inductor/test_compile_worker'}, {'test_file': 'dynamo/test_einops'}, {'test_file': 'inductor/test_external_callables'}, {'test_file': 'test_testing'}, {'test_file': 'dynamo/test_fx_passes_pre_grad'}, {'test_file': 'inductor/test_fp8'}, {'test_file': 'inductor/test_autoheuristic'}, {'test_file': 'export/test_strict_export_v2'}, {'test_file': 'inductor/test_flex_flash'}, {'test_file': 'dynamo/test_model_output'}, {'test_file': 'inductor/test_segmented_tree'}, {'test_file': 'inductor/test_kernel_optimization'}, {'test_file': 'inductor/test_metrics'}, {'test_file': 'export/test_unflatten_training_ir'}, {'test_file': 'inductor/test_triton_kernels'}, {'test_file': 'inductor/test_fx_fusion'}, {'test_file': 'inductor/test_extension_backend'}, {'test_file': 'inductor/test_native_matmul'}, {'test_file': 'inductor/test_xpu_basic'}, {'test_file': 'dynamo/test_inline_and_install'}, {'test_file': 'export/test_functionalized_assertions'}, {'test_file': 'inductor/test_loop_ordering'}, {'test_file': 'inductor/test_selective_lowering'}, {'test_file': 'dynamo/test_base_output'}, {'test_file': 'inductor/test_lookup_table'}, {'test_file': 'inductor/test_cooperative_reductions'}, {'test_file': 'export/test_serialize'}, {'test_file': 'inductor/test_cutedsl_template'}, {'test_file': 'inductor/test_benchmark_fusion'}, {'test_file': 'inductor/test_inductor_scheduler'}, {'test_file': 'inductor/test_move_constructors_to_gpu'}, {'test_file': 'export/test_export_strict'}, {'test_file': 'dynamo/test_modules'}, {'test_file': 'export/test_serdes'}, {'test_file': 'dynamo/test_regional_inductor'}, {'test_file': 'inductor/test_remote_cache'}, {'test_file': 'inductor/test_coordinate_descent_tuner'}, {'test_file': 'inductor/test_inplace_padding'}, {'test_file': 'inductor/test_cudacodecache'}, {'test_file': 'inductor/test_minifier_utils'}, {'test_file': 'inductor/test_debug_trace'}, {'test_file': 'dynamo/test_fx_graph_runnable'}, {'test_file': 'dynamo/test_recompiles'}, {'test_file': 'inductor/test_foreach'}, {'test_file': 'export/test_tree_utils'}, {'test_file': 'dynamo/test_backends'}, {'test_file': 'inductor/test_triton_wrapper'}, {'test_file': 'inductor/test_static_cuda_launcher'}, {'test_file': 'export/test_dynamic_shapes'}, {'test_file': 'dynamo/test_sdpa'}, {'test_file': 'inductor/test_aot_inductor_package'}, {'test_file': 'dynamo/test_utils'}, {'test_file': 'inductor/test_provenance_tracing'}, {'test_file': 'inductor/test_combo_kernels'}, {'test_file': 'inductor/test_codegen_triton'}, {'test_file': 'dynamo/test_frame_init'}, {'test_file': 'inductor/test_device_assert'}, {'test_file': 'dynamo/test_skip_non_tensor'}, {'test_file': 'dynamo/test_skip_guard_eval_unsafe'}, {'test_file': 'inductor/test_decompose_mem_bound_mm'}, {'test_file': 'dynamo/test_interop'}, {'test_file': 'functorch/test_eager_transforms'}, {'test_file': 'inductor/test_control_deps'}, {'test_file': 'inductor/test_benchmarking'}, {'test_file': 'inductor/test_helion_kernels'}, {'test_file': 'inductor/test_quantization'}, {'test_file': 'inductor/test_op_dtype_prop'}, {'test_file': 'inductor/test_best_config'}, {'test_file': 'export/test_tools'}, {'test_file': 'inductor/test_compiled_optimizers'}, {'test_file': 'dynamo/test_buffers_override'}, {'test_file': 'inductor/test_inplacing_pass'}, {'test_file': 'inductor/test_aot_inductor_custom_ops'}, {'test_file': 'inductor/test_split_cat_fx_passes'}, {'test_file': 'inductor/test_profiler'}, {'test_file': 'inductor/test_memory_planning'}, {'test_file': 'inductor/test_mem_estimation'}, {'test_file': 'dynamo/test_view'}, {'test_file': 'inductor/test_cutlass_evt'}, {'test_file': 'dynamo/test_reconstruct'}, {'test_file': 'dynamo/test_aot_autograd'}, {'test_file': 'export/test_cpp_serdes'}, {'test_file': 'inductor/test_cache'}, {'test_file': 'inductor/test_block_analysis'}, {'test_file': 'inductor/test_online_softmax'}, {'test_file': 'dynamo/test_subgraphs'}, {'test_file': 'dynamo/test_pre_dispatch'}, {'test_file': 'inductor/test_custom_post_grad_passes'}, {'test_file': 'dynamo/test_fx_annotate'}, {'test_file': 'dynamo/test_pgo'}, {'test_file': 'dynamo/test_config'}, {'test_file': 'dynamo/test_metrics_context'}, {'test_file': 'export/test_package'}, {'test_file': 'export/test_export_opinfo'}, {'test_file': 'dynamo/test_nops'}, {'test_file': 'inductor/test_graph_transform_observer'}, {'test_file': 'inductor/test_memory'}, {'test_file': 'inductor/test_aot_inductor_utils'}, {'test_file': 'export/test_db'}, {'test_file': 'dynamo/test_export_mutations'}, {'test_file': 'inductor/test_config'}, {'test_file': 'inductor/test_dependencies'}, {'test_file': 'inductor/test_fuzzer'}, {'test_file': 'dynamo/test_global'}, {'test_file': 'inductor/test_control_flow'}, {'test_file': 'dynamo/test_graph_region_tracker'}, {'test_file': 'dynamo/test_unittest'}, {'test_file': 'dynamo/test_streams'}, {'test_file': 'inductor/test_compile'}, {'test_file': 'inductor/test_unbacked_symints'}, {'test_file': 'inductor/test_scatter_optimization'}, {'test_file': 'dynamo/test_functions'}, {'test_file': 'inductor/test_mix_order_reduction'}, {'test_file': 'inductor/test_ordered_set'}, {'test_file': 'inductor/test_pallas'}, {'test_file': 'dynamo/test_install_free_tensors'}, {'test_file': 'inductor/test_torchinductor_codegen_config_overrides'}, {'test_file': 'export/test_passes'}, {'test_file': 'dynamo/test_autograd_function'}, {'test_file': 'inductor/test_codecache'}, {'test_file': 'dynamo/test_cudagraphs'}, {'test_file': 'inductor/test_alignment'}, {'test_file': 'inductor/test_padding'}, {'test_file': 'dynamo/test_profiler'}, {'test_file': 'dynamo/test_guard_serialization'}, {'test_file': 'dynamo/test_compile'}, {'test_file': 'dynamo/test_nested_graph_breaks'}, {'test_file': 'dynamo/test_dicts'}, {'test_file': 'inductor/test_needs_exact_strides'}, {'test_file': 'inductor/test_auto_functionalize'}, {'test_file': 'inductor/test_split_cat_fx_aten_passes'}, {'test_file': 'inductor/test_minifier_isolate'}, {'test_file': 'dynamo/test_aot_compile'}, {'test_file': 'dynamo/test_list'}, {'test_file': 'dynamo/test_resume'}, {'test_file': 'inductor/test_augmented_graph_helper'}, {'test_file': 'dynamo/test_deviceguard'}, {'test_file': 'dynamo/test_sources'}, {'test_file': 'dynamo/test_backward_higher_order_ops'}, {'test_file': 'dynamo/test_modes'}, {'test_file': 'dynamo/test_optimizers'}, {'test_file': 'export/test_torchbind'}, {'test_file': 'inductor/test_custom_partitioner_fn'}, {'test_file': 'dynamo/test_debug_utils'}, {'test_file': 'dynamo/test_base_hop'}, {'test_file': 'dynamo/test_export'}, {'test_file': 'dynamo/test_sets'}, {'test_file': 'dynamo/test_package'}, {'test_file': 'inductor/test_efficient_conv_bn_eval'}, {'test_file': 'inductor/test_torchbind'}, {'test_file': 'dynamo/test_python_dispatcher'}, {'test_file': 'export/test_swap'}, {'test_file': 'export/test_unflatten'}, {'test_file': 'dynamo/test_verify_correctness'}, {'test_file': 'dynamo/test_wrap_inductor_compiled_regions'}, {'test_file': 'inductor/test_fxir_backend'}, {'test_file': 'dynamo/test_callback'}, {'test_file': 'dynamo/test_cudagraphs_expandable_segments'}, {'test_file': 'inductor/test_caching'}, {'test_file': 'dynamo/test_aot_autograd_cache'}, {'test_file': 'dynamo/test_flat_apply'}, {'test_file': 'dynamo/test_input_attr_tracking'}, {'test_file': 'dynamo/test_compiler_bisector'}, {'test_file': 'dynamo/test_graph_deduplication'}, {'test_file': 'inductor/test_distributed_patterns'}, {'test_file': 'dynamo/test_structured_trace'}, {'test_file': 'dynamo/test_error_messages'}, {'test_file': 'dynamo/test_bytecode_utils'}, {'test_file': 'dynamo/test_fake_distributed'}, {'test_file': 'inductor/test_mps_basic'}, {'test_file': 'export/test_nativert'}, {'test_file': 'inductor/test_custom_op_autotune'}, {'test_file': 'export/test_hop'}, {'test_file': 'dynamo/test_tree_map'}, {'test_file': 'dynamo/test_minifier'}, {'test_file': 'dynamo/test_guard_manager'}, {'test_file': 'export/test_schema'}, {'test_file': 'dynamo/test_torchrec'}, {'test_file': 'export/test_pass_infra'}, {'test_file': 'dynamo/test_recompile_ux'}, {'test_file': 'inductor/test_cudagraph_trees_expandable_segments'}, {'test_file': 'export/test_experimental'}, {'test_file': 'export/test_converter'}, {'test_file': 'export/test_export'}, {'test_file': 'test_model_exports_to_core_aten'}, {'test_file': 'dynamo/test_precompile_context'}, {'test_file': 'dynamo/test_trace_rules'}, {'test_file': 'export/test_upgrader'}, {'test_file': 'dynamo/test_hooks'}, {'test_file': 'dynamo/test_reorder_logs'}, {'test_file': 'dynamo/test_subclasses'}, {'test_file': 'dynamo/test_exceptions'}, {'test_file': 'dynamo/test_generator'}, {'test_file': 'export/test_lift_unlift'}, {'test_file': 'dynamo/test_decorators'}, {'test_file': 'export/test_verifier'}, {'test_file': 'export/test_sparse'}, {'test_file': 'dynamo/test_python_autograd'}, {'test_file': 'export/test_draft_export'}, {'test_file': 'dynamo/test_comptime'}, {'test_file': 'test_sort_and_select'}, {'test_file': 'test_privateuseone_python_backend'}, {'test_file': 'functorch/test_rearrange'}, {'test_file': 'functorch/test_parsing'}, {'test_file': 'test_varlen_attention'}, {'test_file': 'test_package'}, {'test_file': 'test_cuda'}, {'test_file': 'profiler/test_profiler'}, {'test_file': 'test_mkl_verbose'}, {'test_file': 'test_comparison_utils'}, {'test_file': 'functorch/test_ac_logging'}, {'test_file': 'test_mkldnn_verbose'}, {'test_file': 'test_cpp_api_parity'}, {'test_file': 'test_utils_config_module'}, {'test_file': 'test_hop_infra'}, {'test_file': 'test_transformers'}, {'test_file': 'test_appending_byte_serializer'}, {'test_file': 'test_license'}, {'test_file': 'test_ao_sparsity'}, {'test_file': 'test_autoload'}, {'test_file': 'nn/attention/test_open_registry'}, {'test_file': 'xpu/test_fusion'}, {'test_file': 'test_as_strided'}, {'test_file': 'test_foreach'}, {'test_file': 'test_proxy_tensor'}, {'test_file': 'torch_np/test_binary_ufuncs'}, {'test_file': 'torch_np/test_unary_ufuncs'}, {'test_file': 'test_utils_filelock'}, {'test_file': 'test_extension_utils'}, {'test_file': 'test_rename_privateuse1_to_existing_device'}, {'test_file': 'nn/attention/test_fa4'}, {'test_file': 'typing/test_python_operators'}, {'test_file': 'test_functionalization'}, {'test_file': 'test_matmul_cuda'}, {'test_file': 'torch_np/test_dtype'}, {'test_file': 'test_file_check'}, {'test_file': 'profiler/test_kineto'}, {'test_file': 'test_flop_counter'}, {'test_file': 'backends/xeon/test_launch'}, {'test_file': 'test_show_pickle'}, {'test_file': 'test_openmp'}, {'test_file': 'test_expanded_weights'}, {'test_file': 'test_module_tracker'}, {'test_file': 'test_autograd'}, {'test_file': 'torch_np/numpy_tests/core/test_scalarinherit'}, {'test_file': 'test_tensorexpr_pybind'}, {'test_file': 'test_fx_experimental'}, {'test_file': 'functorch/test_ac_knapsack'}, {'test_file': 'torch_np/test_nep50_examples'}, {'test_file': 'test_torch'}, {'test_file': 'xpu/test_gemm'}, {'test_file': 'test_sparse'}, {'test_file': 'test_fx_passes'}, {'test_file': 'functorch/test_logging'}, {'test_file': 'higher_order_ops/test_local_map'}, {'test_file': 'test_namedtensor'}, {'test_file': 'test_tensorexpr'}, {'test_file': 'test_dataloader'}, {'test_file': 'functorch/test_minifier'}, {'test_file': 'higher_order_ops/test_invoke_quant'}, {'test_file': 'torch_np/test_basic'}, {'test_file': 'test_jiterator'}, {'test_file': 'test_native_functions'}, {'test_file': 'test_typing'}, {'test_file': 'higher_order_ops/test_with_effects'}, {'test_file': 'higher_order_ops/test_invoke_subgraph'}, {'test_file': 'test_weak'}, {'test_file': 'test_decomp'}, {'test_file': 'test_complex'}, {'test_file': 'test_optim'}, {'test_file': 'lazy/test_functionalization'}, {'test_file': 'torch_np/test_random'}, {'test_file': 'nn/test_multihead_attention'}, {'test_file': 'test_legacy_vmap'}, {'test_file': 'lazy/test_bindings'}, {'test_file': 'xpu/test_conv'}, {'test_file': 'test_utils'}, {'test_file': 'test_pytree'}, {'test_file': 'test_namedtuple_return_api'}, {'test_file': 'test_ci_sanity_check_fail'}, {'test_file': 'profiler/test_record_function'}, {'test_file': 'test_compile_benchmark_util'}, {'test_file': 'test_set_default_mobile_cpu_allocator'}, {'test_file': 'test_fake_tensor'}, {'test_file': 'test_stateless'}, {'test_file': 'functorch/test_ac'}, {'test_file': 'test_binary_ufuncs'}, {'test_file': 'higher_order_ops/test_print'}, {'test_file': 'test_per_overload_api'}, {'test_file': 'torch_np/numpy_tests/core/test_einsum'}, {'test_file': 'test_multiprocessing'}, {'test_file': 'test_out_dtype_op'}, {'test_file': 'torch_np/test_ufuncs_basic'}, {'test_file': 'lazy/test_step_closures'}, {'test_file': 'functorch/dim/test_getsetitem'}, {'test_file': 'test_ops_fwd_gradients'}, {'test_file': 'test_meta'}, {'test_file': 'test_ops_jit'}, {'test_file': 'test_fx'}, {'test_file': 'test_numpy_interop'}, {'test_file': 'profiler/test_cpp_thread'}, {'test_file': 'test_ops_gradients'}, {'test_file': 'test_hub'}, {'test_file': 'test_segment_reductions'}, {'test_file': 'test_opaque_obj_v2'}, {'test_file': 'test_autograd_fallback'}, {'test_file': 'test_type_hints'}, {'test_file': 'functorch/test_aot_joint_with_descriptors'}, {'test_file': 'test_nestedtensor'}, {'test_file': 'distributions/test_constraints'}, {'test_file': 'test_linalg'}, {'test_file': 'test_functionalization_of_rng_ops'}, {'test_file': 'test_fx_reinplace_pass'}, {'test_file': 'functorch/test_control_flow'}, {'test_file': 'test_cuda_expandable_segments'}, {'test_file': 'test_modules'}, {'test_file': 'nn/test_packed_sequence'}, {'test_file': 'test_numa_binding'}, {'test_file': 'test_pruning_op'}, {'test_file': 'test_jit_fuser_te'}, {'test_file': 'test_autocast'}, {'test_file': 'test_logging'}, {'test_file': 'test_python_dispatch'}, {'test_file': 'nn/test_lazy_modules'}, {'test_file': 'nn/test_pruning'}, {'test_file': 'test_monitor'}, {'test_file': 'test_cuda_sanitizer'}, {'test_file': 'test_bundled_inputs'}, {'test_file': 'torch_np/numpy_tests/core/test_numeric'}, {'test_file': 'torch_np/numpy_tests/core/test_multiarray'}, {'test_file': 'test_itt'}, {'test_file': 'torch_np/numpy_tests/lib/test_function_base'}, {'test_file': 'test_masked'}, {'test_file': 'test_sympy_utils'}, {'test_file': 'test_jit_disabled'}, {'test_file': 'test_subclass'}, {'test_file': 'test_import_stats'}, {'test_file': 'functorch/test_vmap_registrations'}, {'test_file': 'nn/test_parametrization'}, {'test_file': 'test_mkldnn_fusion'}, {'test_file': 'test_cpp_extensions_mtia_backend'}, {'test_file': 'lazy/test_ts_opinfo'}, {'test_file': 'test_dynamic_shapes'}, {'test_file': 'complex_tensor/test_complex_tensor'}, {'test_file': 'optim/test_lrscheduler'}, {'test_file': 'optim/test_swa_utils'}, {'test_file': 'cpp_extensions/python_agnostic_extension/test/test_python_agnostic'}, {'test_file': 'functorch/test_memory_efficient_fusion'}, {'test_file': 'torch_np/numpy_tests/lib/test_histograms'}, {'test_file': 'torch_np/test_indexing'}, {'test_file': 'test_schema_check'}, {'test_file': 'test_tensorboard'}, {'test_file': 'torch_np/numpy_tests/core/test_indexing'}, {'test_file': 'test_futures'}, {'test_file': 'test_tensor_creation_ops'}, {'test_file': 'nn/test_dropout'}, {'test_file': 'functorch/dim/test_split'}, {'test_file': 'torch_np/numpy_tests/lib/test_type_check'}, {'test_file': 'cpp_extensions/test_libtorch_agnostic'}, {'test_file': 'test_cpp_extensions_stream_and_event'}, {'test_file': 'profiler/test_execution_trace'}, {'test_file': 'test_jit'}, {'test_file': 'test_dispatch'}, {'test_file': 'test_datapipe'}, {'test_file': 'test_numba_integration'}, {'test_file': 'test_functional_optim'}, {'test_file': 'test_maskedtensor'}, {'test_file': 'test_ops'}, {'test_file': 'benchmark_utils/test_benchmark_utils'}, {'test_file': 'functorch/test_dims'}, {'test_file': 'torch_np/numpy_tests/core/test_scalarmath'}, {'test_file': 'test_scaled_matmul_cuda'}, {'test_file': 'torch_np/numpy_tests/core/test_shape_base'}, {'test_file': 'test_vulkan'}, {'test_file': 'lazy/test_generator'}, {'test_file': 'nn/test_convolution'}, {'test_file': 'torch_np/numpy_tests/linalg/test_linalg'}, {'test_file': 'torch_np/numpy_tests/core/test_dtype'}, {'test_file': 'lazy/test_debug_util'}, {'test_file': 'nn/test_load_state_dict'}, {'test_file': 'test_shape_ops'}, {'test_file': 'nn/test_module_hooks'}, {'test_file': 'torch_np/numpy_tests/lib/test_twodim_base'}, {'test_file': 'profiler/test_memory_profiler'}, {'test_file': 'test_jit_llga_fuser'}, {'test_file': 'test_serialization'}, {'test_file': 'test_sparse_csr'}, {'test_file': 'optim/test_optim'}, {'test_file': 'test_indexing'}, {'test_file': 'torch_np/numpy_tests/fft/test_pocketfft'}, {'test_file': 'functorch/test_ops'}, {'test_file': 'torch_np/numpy_tests/lib/test_shape_base_'}, {'test_file': 'test_cpp_extensions_jit'}, {'test_file': 'torch_np/numpy_tests/core/test_getlimits'}, {'test_file': 'torch_np/test_ndarray_methods'}, {'test_file': 'test_view_ops'}, {'test_file': 'test_type_info'}, {'test_file': 'functorch/test_aotdispatch'}, {'test_file': 'test_nn'}, {'test_file': 'torch_np/numpy_tests/core/test_dlpack'}, {'test_file': 'test_multiprocessing_spawn'}, {'test_file': 'test_scatter_gather_ops'}, {'test_file': 'test_cuda_multigpu'}, {'test_file': 'test_mkldnn'}, {'test_file': 'functorch/test_vmap'}, {'test_file': 'torch_np/numpy_tests/lib/test_index_tricks'}, {'test_file': 'test_jit_autocast'}, {'test_file': 'nn/test_pooling'}, {'test_file': 'nn/test_embedding'}, {'test_file': 'test_unary_ufuncs'}, {'test_file': 'test_xnnpack_integration'}, {'test_file': 'test_cuda_trace'}, {'test_file': 'test_native_mha'}, {'test_file': 'torch_np/numpy_tests/core/test_numerictypes'}, {'test_file': 'test_function_schema'}, {'test_file': 'test_accelerator'}, {'test_file': 'nn/test_init'}, {'test_file': 'torch_np/numpy_tests/core/test_scalar_methods'}, {'test_file': 'torch_np/numpy_tests/fft/test_helper'}, {'test_file': 'test_mobile_optimizer'}, {'test_file': 'test_overrides'}, {'test_file': 'torch_np/test_function_base'}, {'test_file': 'test_type_promotion'}, {'test_file': 'torch_np/test_scalars_0D_arrays'}, {'test_file': 'test_cuda_primary_ctx'}, {'test_file': 'profiler/test_profiler_tree'}, {'test_file': 'torch_np/numpy_tests/lib/test_arraysetops'}, {'test_file': 'test_dlpack'}, {'test_file': 'profiler/test_torch_tidy'}, {'test_file': 'lazy/test_reuse_ir'}, {'test_file': 'test_functional_autograd_benchmark'}, {'test_file': 'test_reductions'}, {'test_file': 'torch_np/test_reductions'}, {'test_file': 'torch_np/numpy_tests/core/test_scalar_ctors'}, {'test_file': 'torch_np/numpy_tests/lib/test_arraypad'}, {'test_file': 'test_prims'}, {'test_file': 'test_spectral_ops'}, {'test_file': 'profiler/test_python_tracer'}, {'test_file': 'cpp_extensions/libtorch_agnostic_2_10_extension/test_version_compatibility'}, {'test_file': 'test_torchfuzz_repros'}, {'test_file': 'distributions/test_distributions'}, {'test_file': 'doctests'}, {'test_file': 'test_autoload_disable'}, {'test_file': 'test_autoload_enable'}, {'test_file': 'test_cpp_extensions_aot_ninja'}, {'test_file': 'test_cpp_extensions_aot_no_ninja'}], 'excluded': []} from test/test-reports/td_exclusions-eb73e50dcb04f2462793.json is not a benchmark record, skipping
2025-12-04T10:29:40.0492408Z   warn(f"{result} from {filepath} is not a benchmark record, skipping")
2025-12-04T10:29:40.0495008Z /home/runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/upload_benchmark_results.py:236: UserWarning: {'included': [{'test_file': 'cpp/test_jit'}, {'test_file': 'cpp/test_lazy'}], 'excluded': []} from test/test-reports/td_exclusions-f530ab6f745d3f891c09.json is not a benchmark record, skipping
2025-12-04T10:29:40.0497896Z   warn(f"{result} from {filepath} is not a benchmark record, skipping")
2025-12-04T10:29:40.0552187Z Prepare all required actions
2025-12-04T10:29:40.0552845Z Getting action download info
2025-12-04T10:29:40.0590436Z ##[group]Run ./.github/actions/teardown-rocm
2025-12-04T10:29:40.0590766Z env:
2025-12-04T10:29:40.0590994Z   GIT_DEFAULT_BRANCH: main
2025-12-04T10:29:40.0591332Z   RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts
2025-12-04T10:29:40.0591805Z   RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results
2025-12-04T10:29:40.0592240Z   RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs
2025-12-04T10:29:40.0593297Z   GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 110 --device /dev/dri/renderD136 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host
2025-12-04T10:29:40.0594411Z   AWS_DEFAULT_REGION: us-east-1
2025-12-04T10:29:40.0594726Z   AWS_REGION: us-east-1
2025-12-04T10:29:40.0595050Z   AWS_ACCESS_KEY_ID: ***
2025-12-04T10:29:40.0595461Z   AWS_SECRET_ACCESS_KEY: ***
2025-12-04T10:29:40.0602216Z   AWS_SESSION_TOKEN: ***
2025-12-04T10:29:40.0602669Z   CONTAINER_NAME: 26dcc780293f5d2f6bd22d417471dea62d6d3d563f28bf20a2ad583c11ab13e8
2025-12-04T10:29:40.0603167Z   DEVICE_NAME: rocm
2025-12-04T10:29:40.0603426Z   DEVICE_TYPE: AMD Instinct MI325X
2025-12-04T10:29:40.0603725Z ##[endgroup]
2025-12-04T10:29:40.0616759Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty
2025-12-04T10:29:40.0617319Z # ignore expansion of "docker ps -q" since it could be empty
2025-12-04T10:29:40.0617744Z # shellcheck disable=SC2046
2025-12-04T10:29:40.0618144Z docker stop $(docker ps -q) || true
2025-12-04T10:29:40.0618500Z # Prune all stopped containers.
2025-12-04T10:29:40.0618835Z docker container prune -f
2025-12-04T10:29:40.0624475Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T10:29:40.0624853Z env:
2025-12-04T10:29:40.0625078Z   GIT_DEFAULT_BRANCH: main
2025-12-04T10:29:40.0625428Z   RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts
2025-12-04T10:29:40.0625901Z   RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results
2025-12-04T10:29:40.0626334Z   RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs
2025-12-04T10:29:40.0627386Z   GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 110 --device /dev/dri/renderD136 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host
2025-12-04T10:29:40.0628476Z   AWS_DEFAULT_REGION: us-east-1
2025-12-04T10:29:40.0628770Z   AWS_REGION: us-east-1
2025-12-04T10:29:40.0629088Z   AWS_ACCESS_KEY_ID: ***
2025-12-04T10:29:40.0629471Z   AWS_SECRET_ACCESS_KEY: ***
2025-12-04T10:29:40.0636517Z   AWS_SESSION_TOKEN: ***
2025-12-04T10:29:40.0636986Z   CONTAINER_NAME: 26dcc780293f5d2f6bd22d417471dea62d6d3d563f28bf20a2ad583c11ab13e8
2025-12-04T10:29:40.0637481Z   DEVICE_NAME: rocm
2025-12-04T10:29:40.0637737Z   DEVICE_TYPE: AMD Instinct MI325X
2025-12-04T10:29:40.0638040Z ##[endgroup]
2025-12-04T10:29:50.5814708Z 26dcc780293f
2025-12-04T10:29:53.8993937Z Deleted Containers:
2025-12-04T10:29:53.8994732Z 26dcc780293f5d2f6bd22d417471dea62d6d3d563f28bf20a2ad583c11ab13e8
2025-12-04T10:29:53.8995298Z 
2025-12-04T10:29:53.8995494Z Total reclaimed space: 10.35GB
2025-12-04T10:29:53.9056534Z Prepare all required actions
2025-12-04T10:29:53.9122746Z ##[group]Run ./.github/actions/diskspace-cleanup
2025-12-04T10:29:53.9123312Z with:
2025-12-04T10:29:53.9123676Z   diskspace-cutoff: 70
2025-12-04T10:29:53.9124066Z env:
2025-12-04T10:29:53.9124404Z   GIT_DEFAULT_BRANCH: main
2025-12-04T10:29:53.9124940Z   RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts
2025-12-04T10:29:53.9125870Z   RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results
2025-12-04T10:29:53.9126549Z   RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs
2025-12-04T10:29:53.9128537Z   GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 110 --device /dev/dri/renderD136 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host
2025-12-04T10:29:53.9130170Z   AWS_DEFAULT_REGION: us-east-1
2025-12-04T10:29:53.9130625Z   AWS_REGION: us-east-1
2025-12-04T10:29:53.9131154Z   AWS_ACCESS_KEY_ID: ***
2025-12-04T10:29:53.9131764Z   AWS_SECRET_ACCESS_KEY: ***
2025-12-04T10:29:53.9142412Z   AWS_SESSION_TOKEN: ***
2025-12-04T10:29:53.9143125Z   CONTAINER_NAME: 26dcc780293f5d2f6bd22d417471dea62d6d3d563f28bf20a2ad583c11ab13e8
2025-12-04T10:29:53.9143900Z   DEVICE_NAME: rocm
2025-12-04T10:29:53.9144302Z   DEVICE_TYPE: AMD Instinct MI325X
2025-12-04T10:29:53.9144769Z ##[endgroup]
2025-12-04T10:29:53.9168368Z ##[group]Run set -ex
2025-12-04T10:29:53.9168845Z set -ex
2025-12-04T10:29:53.9169235Z diskspace_cutoff=70
2025-12-04T10:29:53.9169853Z docker_root_dir=$(docker info -f '{{.DockerRootDir}}')
2025-12-04T10:29:53.9170530Z if [ ! -d "$docker_root_dir" ]; then
2025-12-04T10:29:53.9171422Z     echo "Docker root directory ($docker_root_dir) does not exist. Skipping disk space check."
2025-12-04T10:29:53.9172231Z     exit 0
2025-12-04T10:29:53.9172614Z fi
2025-12-04T10:29:53.9173294Z diskspace=$(df -H --output=pcent ${docker_root_dir} | sed -n 2p | sed 's/%//' | sed 's/ //')
2025-12-04T10:29:53.9174776Z msg="Please file an issue on pytorch/pytorch reporting the faulty runner. Include a link to the runner logs so the runner can be identified"
2025-12-04T10:29:53.9176048Z if [[ "$diskspace" -ge "$diskspace_cutoff" ]] ; then
2025-12-04T10:29:53.9176690Z     docker system prune -af
2025-12-04T10:29:53.9177580Z     diskspace_new=$(df -H --output=pcent ${docker_root_dir} | sed -n 2p | sed 's/%//' | sed 's/ //')
2025-12-04T10:29:53.9178639Z     if [[ "$diskspace_new" -gt "$diskspace_cutoff" ]] ; then
2025-12-04T10:29:53.9179380Z         diskspace_cutoff_int=$((diskspace_cutoff + 0))
2025-12-04T10:29:53.9180050Z         difference=$((100 - diskspace_cutoff_int))
2025-12-04T10:29:53.9180953Z         echo "Error: Available diskspace is less than $difference percent. Not enough diskspace."
2025-12-04T10:29:53.9181778Z         echo "$msg"
2025-12-04T10:29:53.9182225Z         exit 1
2025-12-04T10:29:53.9182645Z     else
2025-12-04T10:29:53.9183129Z         difference=$((diskspace - diskspace_new))
2025-12-04T10:29:53.9183822Z         echo "Diskspace saved: $difference percent"
2025-12-04T10:29:53.9184364Z     fi
2025-12-04T10:29:53.9184712Z fi
2025-12-04T10:29:53.9194589Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-12-04T10:29:53.9195184Z env:
2025-12-04T10:29:53.9195531Z   GIT_DEFAULT_BRANCH: main
2025-12-04T10:29:53.9196075Z   RUNNER_ARTIFACT_DIR: /home/runner/_work/_temp/artifacts
2025-12-04T10:29:53.9196811Z   RUNNER_TEST_RESULTS_DIR: /home/runner/_work/_temp/test-results
2025-12-04T10:29:53.9197502Z   RUNNER_DOCS_DIR: /home/runner/_work/_temp/docs
2025-12-04T10:29:53.9199249Z   GPU_FLAG: --device=/dev/mem --device=/dev/kfd --group-add 110 --device /dev/dri/renderD136 --group-add video --group-add 109 --group-add daemon --group-add bin --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --network=host
2025-12-04T10:29:53.9200863Z   AWS_DEFAULT_REGION: us-east-1
2025-12-04T10:29:53.9201349Z   AWS_REGION: us-east-1
2025-12-04T10:29:53.9201838Z   AWS_ACCESS_KEY_ID: ***
2025-12-04T10:29:53.9202446Z   AWS_SECRET_ACCESS_KEY: ***
2025-12-04T10:29:53.9213136Z   AWS_SESSION_TOKEN: ***
2025-12-04T10:29:53.9213855Z   CONTAINER_NAME: 26dcc780293f5d2f6bd22d417471dea62d6d3d563f28bf20a2ad583c11ab13e8
2025-12-04T10:29:53.9214745Z   DEVICE_NAME: rocm
2025-12-04T10:29:53.9215152Z   DEVICE_TYPE: AMD Instinct MI325X
2025-12-04T10:29:53.9215623Z ##[endgroup]
2025-12-04T10:29:53.9251923Z + diskspace_cutoff=70
2025-12-04T10:29:53.9256576Z ++ docker info -f '{{.DockerRootDir}}'
2025-12-04T10:29:53.9600458Z + docker_root_dir=/home/runner/docker-data
2025-12-04T10:29:53.9601035Z + '[' '!' -d /home/runner/docker-data ']'
2025-12-04T10:29:53.9609122Z ++ df -H --output=pcent /home/runner/docker-data
2025-12-04T10:29:53.9609677Z ++ sed -n 2p
2025-12-04T10:29:53.9611445Z ++ sed s/%//
2025-12-04T10:29:53.9612940Z ++ sed 's/ //'
2025-12-04T10:29:53.9630138Z + diskspace=' 6'
2025-12-04T10:29:53.9631145Z + msg='Please file an issue on pytorch/pytorch reporting the faulty runner. Include a link to the runner logs so the runner can be identified'
2025-12-04T10:29:53.9632221Z + [[  6 -ge 70 ]]
2025-12-04T10:29:53.9701411Z Post job cleanup.
2025-12-04T10:29:53.9773526Z Post job cleanup.
2025-12-04T10:29:54.0522859Z Post job cleanup.
2025-12-04T10:29:54.0562725Z Post job cleanup.
2025-12-04T10:29:54.0772297Z Logging out of registry 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-12-04T10:29:54.1018488Z Post job cleanup.
2025-12-04T10:29:54.1749008Z Post job cleanup.
2025-12-04T10:29:54.1815225Z Post job cleanup.
2025-12-04T10:29:54.2293882Z [command]/usr/bin/git version
2025-12-04T10:29:54.2328118Z git version 2.52.0
2025-12-04T10:29:54.2353712Z Copying '/home/runner/.gitconfig' to '/home/runner/_work/_temp/d7d9b079-2075-42ea-9a98-ad555e9e3029/.gitconfig'
2025-12-04T10:29:54.2360086Z Temporarily overriding HOME='/home/runner/_work/_temp/d7d9b079-2075-42ea-9a98-ad555e9e3029' before making global git config changes
2025-12-04T10:29:54.2361490Z Adding repository directory to the temporary git global config as a safe directory
2025-12-04T10:29:54.2362608Z [command]/usr/bin/git config --global --add safe.directory /home/runner/_work/pytorch/pytorch
2025-12-04T10:29:54.2391142Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
2025-12-04T10:29:54.2410595Z [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' || :"
2025-12-04T10:29:54.2677144Z Entering 'android/libs/fbjni'
2025-12-04T10:29:54.2708731Z Entering 'third_party/FP16'
2025-12-04T10:29:54.2744693Z Entering 'third_party/FXdiv'
2025-12-04T10:29:54.2768404Z Entering 'third_party/NNPACK'
2025-12-04T10:29:54.2798819Z Entering 'third_party/NVTX'
2025-12-04T10:29:54.2823705Z Entering 'third_party/VulkanMemoryAllocator'
2025-12-04T10:29:54.2851437Z Entering 'third_party/XNNPACK'
2025-12-04T10:29:54.2882665Z Entering 'third_party/aiter'
2025-12-04T10:29:54.2930473Z Entering 'third_party/aiter/3rdparty/composable_kernel'
2025-12-04T10:29:54.2966436Z Entering 'third_party/benchmark'
2025-12-04T10:29:54.2992386Z Entering 'third_party/composable_kernel'
2025-12-04T10:29:54.3036025Z Entering 'third_party/cpp-httplib'
2025-12-04T10:29:54.3066829Z Entering 'third_party/cpuinfo'
2025-12-04T10:29:54.3092273Z Entering 'third_party/cudnn_frontend'
2025-12-04T10:29:54.3126988Z Entering 'third_party/cutlass'
2025-12-04T10:29:54.3189251Z Entering 'third_party/fbgemm'
2025-12-04T10:29:54.3218536Z Entering 'third_party/fbgemm/external/asmjit'
2025-12-04T10:29:54.3240241Z Entering 'third_party/fbgemm/external/composable_kernel'
2025-12-04T10:29:54.3272633Z Entering 'third_party/fbgemm/external/cpuinfo'
2025-12-04T10:29:54.3317329Z Entering 'third_party/fbgemm/external/cutlass'
2025-12-04T10:29:54.3346008Z Entering 'third_party/fbgemm/external/googletest'
2025-12-04T10:29:54.3408328Z Entering 'third_party/fbgemm/external/hipify_torch'
2025-12-04T10:29:54.3455579Z Entering 'third_party/fbgemm/external/json'
2025-12-04T10:29:54.3498204Z Entering 'third_party/flash-attention'
2025-12-04T10:29:54.3549904Z Entering 'third_party/flash-attention/csrc/composable_kernel'
2025-12-04T10:29:54.3601739Z Entering 'third_party/flash-attention/csrc/cutlass'
2025-12-04T10:29:54.3657633Z Entering 'third_party/flatbuffers'
2025-12-04T10:29:54.3702375Z Entering 'third_party/fmt'
2025-12-04T10:29:54.3737203Z Entering 'third_party/gemmlowp/gemmlowp'
2025-12-04T10:29:54.3782457Z Entering 'third_party/gloo'
2025-12-04T10:29:54.3811694Z Entering 'third_party/googletest'
2025-12-04T10:29:54.3852826Z Entering 'third_party/ideep'
2025-12-04T10:29:54.3905493Z Entering 'third_party/ideep/mkl-dnn'
2025-12-04T10:29:54.3945345Z Entering 'third_party/ittapi'
2025-12-04T10:29:54.3986405Z Entering 'third_party/kineto'
2025-12-04T10:29:54.4028308Z Entering 'third_party/kineto/libkineto/third_party/dynolog'
2025-12-04T10:29:54.4052878Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-12-04T10:29:54.4102889Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-12-04T10:29:54.4152607Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-12-04T10:29:54.4193446Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-12-04T10:29:54.4229531Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-12-04T10:29:54.4255732Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-12-04T10:29:54.4287895Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-12-04T10:29:54.4324063Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-12-04T10:29:54.4367261Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-12-04T10:29:54.4409972Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp'
2025-12-04T10:29:54.4444295Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb'
2025-12-04T10:29:54.4466731Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest'
2025-12-04T10:29:54.4507263Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2025-12-04T10:29:54.4550576Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2025-12-04T10:29:54.4583617Z Entering 'third_party/kleidiai'
2025-12-04T10:29:54.4616887Z Entering 'third_party/mimalloc'
2025-12-04T10:29:54.4652503Z Entering 'third_party/nlohmann'
2025-12-04T10:29:54.4687246Z Entering 'third_party/onnx'
2025-12-04T10:29:54.4733043Z Entering 'third_party/onnx/third_party/pybind11'
2025-12-04T10:29:54.4767943Z Entering 'third_party/opentelemetry-cpp'
2025-12-04T10:29:54.4792803Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-12-04T10:29:54.4826780Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-12-04T10:29:54.4847628Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-12-04T10:29:54.4867348Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-12-04T10:29:54.4900471Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-12-04T10:29:54.4944066Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-12-04T10:29:54.4965029Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-12-04T10:29:54.4984961Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-12-04T10:29:54.5007692Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-12-04T10:29:54.5047475Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-12-04T10:29:54.5079184Z Entering 'third_party/pocketfft'
2025-12-04T10:29:54.5112429Z Entering 'third_party/protobuf'
2025-12-04T10:29:54.5166546Z Entering 'third_party/protobuf/third_party/benchmark'
2025-12-04T10:29:54.5204477Z Entering 'third_party/protobuf/third_party/googletest'
2025-12-04T10:29:54.5229718Z Entering 'third_party/psimd'
2025-12-04T10:29:54.5258813Z Entering 'third_party/pthreadpool'
2025-12-04T10:29:54.5294216Z Entering 'third_party/pybind11'
2025-12-04T10:29:54.5316427Z Entering 'third_party/python-peachpy'
2025-12-04T10:29:54.5338420Z Entering 'third_party/sleef'
2025-12-04T10:29:54.5362189Z Entering 'third_party/tensorpipe'
2025-12-04T10:29:54.5387101Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-12-04T10:29:54.5413854Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-12-04T10:29:54.5445817Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-12-04T10:29:54.5467728Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-12-04T10:29:54.5488712Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-12-04T10:29:54.5535171Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
2025-12-04T10:29:54.5552401Z http.https://github.com/.extraheader
2025-12-04T10:29:54.5561403Z [command]/usr/bin/git config --local --unset-all http.https://github.com/.extraheader
2025-12-04T10:29:54.5580390Z [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' || :"
2025-12-04T10:29:54.5766237Z Entering 'android/libs/fbjni'
2025-12-04T10:29:54.5779647Z http.https://github.com/.extraheader
2025-12-04T10:29:54.5808260Z Entering 'third_party/FP16'
2025-12-04T10:29:54.5826983Z http.https://github.com/.extraheader
2025-12-04T10:29:54.5843465Z Entering 'third_party/FXdiv'
2025-12-04T10:29:54.5870448Z http.https://github.com/.extraheader
2025-12-04T10:29:54.5893808Z Entering 'third_party/NNPACK'
2025-12-04T10:29:54.5908637Z http.https://github.com/.extraheader
2025-12-04T10:29:54.5938132Z Entering 'third_party/NVTX'
2025-12-04T10:29:54.5955394Z http.https://github.com/.extraheader
2025-12-04T10:29:54.5973148Z Entering 'third_party/VulkanMemoryAllocator'
2025-12-04T10:29:54.5986295Z http.https://github.com/.extraheader
2025-12-04T10:29:54.6018876Z Entering 'third_party/XNNPACK'
2025-12-04T10:29:54.6034089Z http.https://github.com/.extraheader
2025-12-04T10:29:54.6074266Z Entering 'third_party/aiter'
2025-12-04T10:29:54.6087926Z http.https://github.com/.extraheader
2025-12-04T10:29:54.6108662Z Entering 'third_party/aiter/3rdparty/composable_kernel'
2025-12-04T10:29:54.6123477Z http.https://github.com/.extraheader
2025-12-04T10:29:54.6150804Z Entering 'third_party/benchmark'
2025-12-04T10:29:54.6165574Z http.https://github.com/.extraheader
2025-12-04T10:29:54.6193194Z Entering 'third_party/composable_kernel'
2025-12-04T10:29:54.6211582Z http.https://github.com/.extraheader
2025-12-04T10:29:54.6248879Z Entering 'third_party/cpp-httplib'
2025-12-04T10:29:54.6292015Z http.https://github.com/.extraheader
2025-12-04T10:29:54.6321446Z Entering 'third_party/cpuinfo'
2025-12-04T10:29:54.6343477Z http.https://github.com/.extraheader
2025-12-04T10:29:54.6362220Z Entering 'third_party/cudnn_frontend'
2025-12-04T10:29:54.6375546Z http.https://github.com/.extraheader
2025-12-04T10:29:54.6404425Z Entering 'third_party/cutlass'
2025-12-04T10:29:54.6442659Z http.https://github.com/.extraheader
2025-12-04T10:29:54.6476309Z Entering 'third_party/fbgemm'
2025-12-04T10:29:54.6501151Z http.https://github.com/.extraheader
2025-12-04T10:29:54.6529703Z Entering 'third_party/fbgemm/external/asmjit'
2025-12-04T10:29:54.6543876Z http.https://github.com/.extraheader
2025-12-04T10:29:54.6563427Z Entering 'third_party/fbgemm/external/composable_kernel'
2025-12-04T10:29:54.6590104Z http.https://github.com/.extraheader
2025-12-04T10:29:54.6614575Z Entering 'third_party/fbgemm/external/cpuinfo'
2025-12-04T10:29:54.6631952Z http.https://github.com/.extraheader
2025-12-04T10:29:54.6649582Z Entering 'third_party/fbgemm/external/cutlass'
2025-12-04T10:29:54.6662209Z http.https://github.com/.extraheader
2025-12-04T10:29:54.6696960Z Entering 'third_party/fbgemm/external/googletest'
2025-12-04T10:29:54.6723776Z http.https://github.com/.extraheader
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2025-12-04T10:29:54.9624093Z [command]/usr/bin/git config --local --name-only --get-regexp ^includeIf\.gitdir:
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2025-12-04T10:29:55.0628745Z Entering 'third_party/fbgemm/external/cutlass'
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2025-12-04T10:29:55.0801201Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/flash-attention/config	remote.origin.url
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2025-12-04T10:29:55.0890484Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/flatbuffers/config	remote.origin.url
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2025-12-04T10:29:55.1295688Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
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2025-12-04T10:29:55.3589001Z [command]/usr/bin/git config --file /home/runner/_work/pytorch/pytorch/.git/modules/third_party/nlohmann/config --name-only --get-regexp ^includeIf\.gitdir:
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2025-12-04T10:29:55.4140716Z [command]/usr/bin/git config --file /home/runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/config --name-only --get-regexp ^includeIf\.gitdir:
2025-12-04T10:29:55.4159339Z [command]/usr/bin/git config --file /home/runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/googletest/config --name-only --get-regexp ^includeIf\.gitdir:
2025-12-04T10:29:55.4189684Z [command]/usr/bin/git config --file /home/runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/libnop/config --name-only --get-regexp ^includeIf\.gitdir:
2025-12-04T10:29:55.4219830Z [command]/usr/bin/git config --file /home/runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/libuv/config --name-only --get-regexp ^includeIf\.gitdir:
2025-12-04T10:29:55.4239379Z [command]/usr/bin/git config --file /home/runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/pybind11/config --name-only --get-regexp ^includeIf\.gitdir:
2025-12-04T10:29:55.4257025Z [command]/usr/bin/git config --file /home/runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/pybind11/modules/tools/clang/config --name-only --get-regexp ^includeIf\.gitdir:
2025-12-04T10:29:55.4427826Z Post job cleanup.
2025-12-04T10:29:55.4909613Z [command]/usr/bin/git version
2025-12-04T10:29:55.4945918Z git version 2.52.0
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2025-12-04T10:29:56.1210576Z [command]/usr/bin/git config --local --name-only --get-regexp ^includeIf\.gitdir:
2025-12-04T10:29:56.1240999Z [command]/usr/bin/git submodule foreach --recursive git config --local --show-origin --name-only --get-regexp remote.origin.url
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2025-12-04T10:29:56.2816886Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/googletest/config	remote.origin.url
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2025-12-04T10:29:56.2872671Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/pfs/config	remote.origin.url
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2025-12-04T10:29:56.3113338Z Entering 'third_party/nlohmann'
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2025-12-04T10:29:56.3169898Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/onnx/config	remote.origin.url
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2025-12-04T10:29:56.3270173Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-12-04T10:29:56.3297046Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/benchmark/config	remote.origin.url
2025-12-04T10:29:56.3307042Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-12-04T10:29:56.3319279Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/googletest/config	remote.origin.url
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2025-12-04T10:29:56.3370585Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
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2025-12-04T10:29:56.3447582Z file:/home/runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/opentracing-cpp/config	remote.origin.url
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2025-12-04T10:29:56.5723110Z [command]/usr/bin/git config --file /home/runner/_work/pytorch/pytorch/.git/modules/third_party/python-peachpy/config --name-only --get-regexp ^includeIf\.gitdir:
2025-12-04T10:29:56.5742051Z [command]/usr/bin/git config --file /home/runner/_work/pytorch/pytorch/.git/modules/third_party/sleef/config --name-only --get-regexp ^includeIf\.gitdir:
2025-12-04T10:29:56.5772789Z [command]/usr/bin/git config --file /home/runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/config --name-only --get-regexp ^includeIf\.gitdir:
2025-12-04T10:29:56.5791662Z [command]/usr/bin/git config --file /home/runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/googletest/config --name-only --get-regexp ^includeIf\.gitdir:
2025-12-04T10:29:56.5810535Z [command]/usr/bin/git config --file /home/runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/libnop/config --name-only --get-regexp ^includeIf\.gitdir:
2025-12-04T10:29:56.5829565Z [command]/usr/bin/git config --file /home/runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/libuv/config --name-only --get-regexp ^includeIf\.gitdir:
2025-12-04T10:29:56.5859745Z [command]/usr/bin/git config --file /home/runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/pybind11/config --name-only --get-regexp ^includeIf\.gitdir:
2025-12-04T10:29:56.5881718Z [command]/usr/bin/git config --file /home/runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/pybind11/modules/tools/clang/config --name-only --get-regexp ^includeIf\.gitdir:
2025-12-04T10:29:56.6061125Z Cleaning up orphan processes